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293 Commits

Author SHA1 Message Date
de24e74b4c Docs: How to use MinerU to parse pdf documents (#10763)
### What problem does this PR solve?



### Type of change

- [x] Documentation Update
2025-10-23 18:56:09 +08:00
83e80e3d7f Docs: Update version references to v0.21.1 in READMEs and docs (#10761)
### What problem does this PR solve?

- Update version tags in README files (including translations) from
v0.21.0 to v0.21.1
- Modify Docker image references and documentation to reflect new
version
- Update version badges and image descriptions
- Maintain consistency across all language variants of README files

### Type of change

- [x] Documentation Update
2025-10-23 18:55:41 +08:00
ea73f13ebf Fix: infinity rerank error. (#10760)
### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-23 17:38:54 +08:00
af6eabad0e Docs: Added v0.21.1 release notes (#10757)
### What problem does this PR solve?

### Type of change

- [x] Documentation Update
2025-10-23 17:25:29 +08:00
5fb5a51b2e Fix: create KB initial embedding. (#10751)
### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-23 16:17:43 +08:00
37004ecfb3 Fix: Clicking "Stop receiving messages" in Firefox will cause the page to crash. #10752 (#10754)
### What problem does this PR solve?

Fix: Clicking "Stop receiving messages" in Firefox will cause the page
to crash. #10752
### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-23 16:17:28 +08:00
6d333ec4bc Fix: Add video preview #9869 (#10748)
### What problem does this PR solve?

Fix: Add video preview

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-23 14:25:05 +08:00
ac188b0486 Feat: The default value of the parser operator's Video output format is set to text #9869 (#10745)
### What problem does this PR solve?
Feat: The default value of the parser operator's Video output format is
set to text #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-23 14:18:51 +08:00
adeb9d87e2 Bump infinity to 0.6.1 (#10749)
### What problem does this PR solve?

Bump infinity to 0.6.1

#10727 missed `docker/docker-compose-base.yml`.

### Type of change

- [x] Other (please describe):
2025-10-23 13:36:43 +08:00
d121033208 Fix: Resolved the issue where the Generate button must be refreshed after generating chunk to take effect #9869 (#10742)
### What problem does this PR solve?

Fix: Resolved the issue where the Generate button must be refreshed
after generating chunk to take effect

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-23 11:54:45 +08:00
494f84cd69 Feat: Add suffix to the parser operator's video configuration #9869 (#10741)
### What problem does this PR solve?

Feat: Add suffix to the parser operator's video configuration #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-23 11:13:21 +08:00
f24d464a53 Fix: video file suffix (#10740)
### What problem does this PR solve?


### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-23 11:13:09 +08:00
484c536f2e Fix typo (#10737)
### What problem does this PR solve?

Chunkder to Chunker

### Type of change

- [x] Documentation Update
2025-10-23 09:25:15 +08:00
f7112acd97 Feat: pipeline supports MinerU PDF parser (#10736)
### What problem does this PR solve?

Pipeline supports MinerU PDF parser.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-23 09:24:31 +08:00
de4f75dcd8 Fix: add video parser (#10735)
### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-23 09:24:16 +08:00
15fff5724e Fix:filename is not displayed on the overview page #9869 (#10731)
### What problem does this PR solve?

Fix: Fixed the issue that filename is not displayed on the overview
page; and added the processing logic of the generate button when chunk=0

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-22 19:52:50 +08:00
d616354d66 Fix: model parameter (#10730)
### What problem does this PR solve?

Fix: fix model parameter  #10729

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-22 19:52:37 +08:00
1bad24e3ab Feat: version 0.21.1 (#10718)
### What problem does this PR solve?

Update version, and remove '_canvas' suffix in agent_category.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-22 19:03:02 +08:00
4910146149 Feat: Display the video field in the parser operator #9869 (#10728)
### What problem does this PR solve?

Feat: Display the video field in the parser operator #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-22 18:59:20 +08:00
0e549e96ee bump infinity to v0.6.1 (#10727)
### What problem does this PR solve?

bump infinity to v0.6.1

### Type of change

- [x] Other (please describe): Infinity
2025-10-22 17:36:58 +08:00
318cb7d792 Fix: Optimize the style of the personal center sidebar component #9869 (#10723)
### What problem does this PR solve?

fix: Optimize the style of the personal center sidebar component

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-22 16:55:16 +08:00
4d1255b231 hotfix: Rename chunk summary's component name (#10721)
### What problem does this PR solve?

Using Indexer instead of Tokenizer

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-22 16:55:03 +08:00
b30f0be858 Refactor: How LiteLLMBase Calculate total count (#10532)
### What problem does this PR solve?

How LiteLLMBase Calculate total count

### Type of change

- [x] Refactoring
2025-10-22 12:25:31 +08:00
a82e9b3d91 Fix: can't upload image in ollama model #10447 (#10717)
### What problem does this PR solve?

Fix: can't upload image in ollama model #10447

### Type of change

- [X] Bug Fix (non-breaking change which fixes an issue)


### Change all `image=[]` to `image = None`

Changing `image=[]` to `images=None` avoids Python’s mutable default
parameter issue.
If you keep `images=[]`, all calls share the same list, so modifying it
(e.g., images.append()) will affect later calls.
Using images=None and creating a new list inside the function ensures
each call is independent.
This change does not affect current behavior — it simply makes the code
safer and more predictable.


把 `images=[]` 改成 `images=None` 是为了避免 Python 默认参数的可变对象问题。
如果保留 `images=[]`,所有调用都会共用同一个列表,一旦修改就会影响后续调用。
改成 None 并在函数内部重新创建列表,可以确保每次调用都是独立的。
这个修改不会影响现有运行结果,只是让代码更安全、更可控。
2025-10-22 12:24:12 +08:00
02a452993e Feat: Adjust the style of the mcp dialog #10703 (#10719)
### What problem does this PR solve?

Feat: Adjust the style of the mcp dialog #10703

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-22 12:20:19 +08:00
307cdc62ea fix:RAGFlowOSS.put() got an unexpected keyword argument 'tenant_id' (#10712)
### What problem does this PR solve?

https://github.com/infiniflow/ragflow/issues/10700

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-22 09:30:41 +08:00
2d491188b8 Refa: improve flow of GraphRAG and RAPTOR (#10709)
### What problem does this PR solve?

Improve flow of GraphRAG and RAPTOR.

### Type of change

- [x] Refactoring
2025-10-22 09:29:20 +08:00
acc0f7396e Feat: add fault-tolerant mechanism to GraphRAG (#10708)
### What problem does this PR solve?

Add fault-tolerant mechanism to GraphRAG. #10406.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-22 09:29:04 +08:00
9a4cd81891 Docs: Added token chunker and title chunker components (#10711)
### What problem does this PR solve?

### Type of change

- [x] Documentation Update
2025-10-21 20:11:23 +08:00
1694f32e8e Fix: Profile page UI adjustment #9869 (#10706)
### What problem does this PR solve?

Fix: Profile page UI adjustment

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-21 20:11:07 +08:00
41fade3fe6 Fix:wrong param in manual chunk (#10710)
### What problem does this PR solve?

change:
wrong param in manual chunk

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-21 20:10:54 +08:00
8d333f3590 Feat: Change the style of all cards according to the design #10703 (#10704)
### What problem does this PR solve?

Feat: Change the style of all cards according to the design #10703

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-21 20:08:55 +08:00
cd77425b87 Fix: potential negative max_tokens in RAPTOR (#10701)
### What problem does this PR solve?

Fix potential negative max_tokens in RAPTOR. #10235.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue
2025-10-21 15:49:51 +08:00
544c9990e3 Feat: Move the pipeline translation field to flow #9869 (#10697)
### What problem does this PR solve?

Feat: Move the pipeline translation field to flow #9869

### Type of change


- [X] New Feature (non-breaking change which adds functionality)
2025-10-21 15:23:37 +08:00
41a647fe32 Feat: A pipeline's child node can only have one node #9869 (#10695)
### What problem does this PR solve?

Feat: A pipeline's child node can only have one node #9869
### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-21 13:55:46 +08:00
594bf485d4 Test: update test cases for chunk retrieval pagination (#10694)
### What problem does this PR solve?

Updated test cases in test_retrieval_chunks.py to:
- Remove skip mark from page pagination test case (issues/6646 resolved)
- Add skip marks for page_size=1 tests due to new issue (issues/10692)

### Type of change

- [x] Test
2025-10-21 13:02:29 +08:00
863c3e3d9c Fix: tree merge (#10691)
### What problem does this PR solve?

Fix: Fix tree merge, solved #10636

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-21 13:02:01 +08:00
1767039be3 Feat: Display the pipeline operation sheet on the agent page #9869 (#10690)
### What problem does this PR solve?

Feat: Display the pipeline operation sheet on the agent page #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-21 12:59:30 +08:00
cd75fa02b1 Feat: Make knowledge base renaming automatically reflected in agent discussions, solved #10597 (#10680)
### What problem does this PR solve?
Feat: Make knowledge base renaming automatically reflected in agent
discussions, solved #10597

### Type of change
- [x] New Feature (non-breaking change which adds functionality)
2025-10-21 10:42:05 +08:00
cfdd37820a Feat: Support attribute filtering #8703 (#10670)
### What problem does this PR solve?

Feat: Support attribute filtering #8703

### Type of change

- [X] New Feature (non-breaking change which adds functionality)

---------

Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com>
Co-authored-by: writinwaters <cai.keith@gmail.com>
2025-10-21 10:38:40 +08:00
9d12380806 Fix: Excel2HTML can't support XLS(Excel 97-2003) (#10660)
### What problem does this PR solve?
https://github.com/infiniflow/ragflow/issues/10602

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-21 09:52:59 +08:00
866098634b Feat:setting metadata in the retrieval (#10682)
### What problem does this PR solve?
issue:
[#9272](https://github.com/infiniflow/ragflow/issues/9272)
change:
setting metadata in the retrieval

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-21 09:52:26 +08:00
8013505daf Fix(edit-tag): Fix the bug that the edit-tag tag cannot be deleted #9869 (#10679)
### What problem does this PR solve?

fix(edit-tag): Fix the bug that the edit-tag tag cannot be deleted #9869

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-21 09:38:36 +08:00
deb81810e9 Update message printout when start ingestion server (#10677)
### What problem does this PR solve?

```
     ____                                  __     _                                                                  
    /  _/   ____    ____ _  ___    _____  / /_   (_)  ____    ____           _____  ___    _____ _   __  ___    _____
    / /    / __ \  / __ `/ / _ \  / ___/ / __/  / /  / __ \  / __ \         / ___/ / _ \  / ___/| | / / / _ \  / ___/
 _/ /    / / / / / /_/ / /  __/ (__  ) / /_   / /  / /_/ / / / / /        (__  ) /  __/ / /    | |/ / /  __/ / /    
/___/   /_/ /_/  \__, /  \___/ /____/  \__/  /_/   \____/ /_/ /_/        /____/  \___/ /_/     |___/  \___/ /_/     
                /____/          
```

### Type of change

- [x] Refactoring

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-10-21 09:38:20 +08:00
6ab96287c9 Feat:Vision Model Image Enhancement in Manual/Paper/Book/One chunker (#10640)
### What problem does this PR solve?
issue:
[#7472](https://github.com/infiniflow/ragflow/issues/7472)
change:
Vision Model Image Enhancement in Manual chunker
### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-21 09:36:27 +08:00
aaa4776657 Feat: Qwen-VL series supports video parsing (#10676)
### What problem does this PR solve?

Qwen-VL series supports video parsing. #10617.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-21 09:36:13 +08:00
5b2e5dd334 Feat: Gemini supports video parsing (#10671)
### What problem does this PR solve?

Gemini supports video parsing.


![img_v3_02r8_adbd5adc-d665-4756-9a00-3ae0f12224fg](https://github.com/user-attachments/assets/30d8d296-c336-4b55-9823-803979e705ca)


![img_v3_02r8_ab60c046-1727-4029-ad2e-66097fd3ccbg](https://github.com/user-attachments/assets/441b1487-a970-427e-98b6-6e1e002f2bad)

Close: #10617

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-20 16:49:47 +08:00
de46b0d46e Fix: Optimize code and fix ts type errors #9869 (#10666)
### What problem does this PR solve?

Fix: Optimize code and fix ts type errors #9869

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-20 15:59:56 +08:00
cc703da747 Fix: The agent dialogue sheet does not display the opening remarks. #10664 (#10665)
### What problem does this PR solve?

Fix: The agent dialogue sheet does not display the opening remarks.
#10664

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-20 13:46:05 +08:00
d956a442ce Fix: Remove pdf embed support, update based on #10635 (#10663)
### What problem does this PR solve?

Fix: Remove pdf embed support, update based on  #10635

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-20 13:45:53 +08:00
5fc59a3132 Fix: retrieval test (#10662)
### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-20 11:37:18 +08:00
1d955507e9 Supports running single command (#10651)
### What problem does this PR solve?

```
$ python admin_client.py -h 0.0.0.0 -p 9381 'list users;'
Attempt to access ip: 0.0.0.0, port: 9381
Authentication successful.
Run single command: list users;
Listing all users
+-------------------------------+------------------+-----------+----------+
| create_date                   | email            | is_active | nickname |
+-------------------------------+------------------+-----------+----------+
| Thu, 15 Aug 2024 15:35:53 GMT | abc@abc.com      | 1         | aaa      |
| Sat, 08 Jun 2024 16:43:21 GMT | aaaa@aaaa.com    | 1         | aaa      |
| Thu, 15 Aug 2024 15:38:10 GMT | cbde@ccc.com     | 1         | ccc      |
| Tue, 23 Sep 2025 14:07:27 GMT | aaa@aaa.aaa      | 1         | aaa      |
| Thu, 15 Aug 2024 19:44:19 GMT | aa@aa.com        | 1         | aa       |
| Tue, 23 Sep 2025 15:41:36 GMT | admin@ragflow.io | 1         | admin    |
+-------------------------------+------------------+-----------+----------+
```

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

---------

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-10-18 21:03:22 +08:00
cf09c2260a feat: implement CLI of role-based access control system (#10650)
### What problem does this PR solve?

- Add comprehensive RBAC support with role and permission management
- Implement CREATE/ALTER/DROP ROLE commands for role lifecycle
management
- Add GRANT/REVOKE commands for fine-grained permission control
- Support user role assignment via ALTER USER SET ROLE command
- Add SHOW ROLE and SHOW USER PERMISSION for permission inspection
- Implement corresponding RESTful API endpoints for role management
- Integrate role commands into existing command execution framework


### Type of change

- [x] New Feature (non-breaking change which adds functionality)

---------

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-10-18 17:53:34 +08:00
c9b18cbe18 Feat:admin api (#10642)
### What problem does this PR solve?

Support frontend auth.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-18 16:09:48 +08:00
8123942ec1 Fix:Text color in Floating Widget (Intercom-style) #10624 (#10639)
### What problem does this PR solve?

Fix:Text color in Floating Widget (Intercom-style)  #10624

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-17 18:48:47 +08:00
685114d253 Feat: Display the pipeline on the agent canvas #9869 (#10638)
### What problem does this PR solve?

Feat: Display the pipeline on the agent canvas #9869
### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-17 18:47:33 +08:00
c9e56d20cf Doc: miscellaneous (#10641)
### What problem does this PR solve?

### Type of change

- [x] Documentation Update
2025-10-17 18:47:09 +08:00
8ee0b6ea54 File: Now parsing support all types of embedded documents, solved #10059 (#10635)
### What problem does this PR solve?

File: Now parsing support all types of embedded documents, solved #10059
Fix: Incomplete words in chat #10530
### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-17 18:46:47 +08:00
f50b2461cb Fix: Restore the sidebar description of DP slicing method #9869 (#10633)
### What problem does this PR solve?

Fix: Restore the sidebar description of DP slicing method #9869

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-17 15:39:45 +08:00
617faee718 Feat: Delete useless files from the data pipeline #9869 (#10632)
### What problem does this PR solve?

Feat: Delete useless files from the data pipeline #9869
### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-17 14:55:48 +08:00
b15643bd80 Feat:VolcEngine Model type add IMAGE2TEXT (#10629)
### What problem does this PR solve?
issue:
[#9004](https://github.com/infiniflow/ragflow/issues/9004)
change:
VolcEngine Model type add IMAGE2TEXT

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-17 11:43:22 +08:00
f12290f04b Docs: minor (#10630)
### What problem does this PR solve?

### Type of change


- [x] Documentation Update
2025-10-17 11:41:19 +08:00
15838a6673 feat(storybook): Storybook with Calendar and Modal components #9869 (#10626)
### What problem does this PR solve?

feat(storybook): Storybook with Calendar and Modal components #9869

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-17 09:58:52 +08:00
39ad9490ac Fix:display agents (#10620)
### What problem does this PR solve?

Clear agents display, remove empty value column.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-17 09:58:28 +08:00
387baf858f Feat: add MinerU parser (#10621)
### What problem does this PR solve?

Add MinerU parser. #3945, #8092.

Set `MINERU_EXECUTABLE` to the MinerU executable path, defaults to
`mineru`.

Set `MINERU_DELETE_OUTPUT=0` to preserve MinerU's output, default is 1,
which deletes temporary output.

Set `MINERU_OUTPUT_DIR` to choose the MinerU output directory (uses the
temporary directory if unset).

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-17 09:55:39 +08:00
2dba858c84 Doc: minor (#10627)
### What problem does this PR solve?


### Type of change


- [x] Documentation Update
2025-10-17 09:47:29 +08:00
43ea312144 Fix: search highlight. (#10616)
### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-16 18:45:43 +08:00
ce05696d95 Fix: Open the parser operator configuration, save it, and run the agent. An error will be reported. #10615 (#10619)
### What problem does this PR solve?

Fix: Open the parser operator configuration, save it, and run the agent.
An error will be reported. #10615

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-16 18:45:27 +08:00
0f62bfda21 Feat: add forgot password reset (update naming style), solve #8547 (#10606)
### What problem does this PR solve?

Feat: add forgot password reset (update naming style), solve #8547

### Type of change

- [X] New Feature (non-breaking change which adds functionality)
2025-10-16 17:48:20 +08:00
70ffe2b4e8 Feat: The bottom anchor of the agent node is only displayed when there is a downstream node #9869 (#10611)
### What problem does this PR solve?

Feat: The bottom anchor of the agent node is only displayed when there
is a downstream node #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-16 17:47:55 +08:00
e76db6e222 Fix: Bug fixes #9869 (#10600)
### What problem does this PR solve?

Fix: Bug fixes #9869
- Added the disabled attribute to control the modal confirmation button
state
- Conditionally rendered the catalog enhancement toggle component
- Replaced the selector component and removed unused imports
- Removed redundant catalog enhancement text in the Chinese language
pack

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-16 15:43:05 +08:00
7b664b5a84 Feat: Collapse the excess portion of the tool node and retrieval node #9869 (#10604)
### What problem does this PR solve?

Feat: Collapse the excess portion of the tool node and retrieval node
#9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-16 15:17:13 +08:00
8a41057236 Fix: Add RetryingPooledPostgresqlDatabase to handle max_retries param (#10524)
## What problem does this PR solve?

Fixes the PostgreSQL connection error that prevents RAGFlow from
starting:

peewee.ProgrammingError: invalid dsn: invalid connection option
"max_retries"


## Problem Analysis

The `BaseDataBase` class in `api/db/db_models.py` adds `max_retries` and
`retry_delay` to the database configuration dict before passing it to
the database connection constructor.

- **MySQL**: Has `RetryingPooledMySQLDatabase` class that properly
extracts these custom parameters using `kwargs.pop()` before calling the
parent constructor
- **PostgreSQL**: Was using the base `PooledPostgresqlDatabase` class
which passes all parameters directly to `psycopg2.connect()`, which
doesn't recognize `max_retries` as a valid connection option

## Solution

Created `RetryingPooledPostgresqlDatabase` class that:
- Extracts `max_retries` and `retry_delay` parameters before
initialization
- Implements retry logic with exponential backoff for connection
failures
- Handles PostgreSQL-specific connection errors (connection refused,
server closed, etc.)
- Mirrors the existing `RetryingPooledMySQLDatabase` implementation

Updated the `PooledDatabase` enum to use the new retrying class for
PostgreSQL.

## Benefits

 Prevents invalid connection parameters from being passed to psycopg2  
 Adds automatic retry logic for PostgreSQL connection failures  
 Provides better error logging for PostgreSQL-specific issues  
 Maintains consistency between MySQL and PostgreSQL database handling  

## Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

## Testing

Tested with PostgreSQL database configuration and verified:
- Server starts without the "invalid dsn" error
- Database connections are established successfully
- Retry logic works correctly on connection failures

Co-authored-by: Andrea Bugeja <andrea.bugeja@gig.com>
2025-10-16 15:08:41 +08:00
447041d265 Feat: add forgot password reset, solve #8547 (#10586)
### What problem does this PR solve?

Feat: add forgot password reset, solve #8547

### Type of change

- [X] New Feature (non-breaking change which adds functionality)
2025-10-16 15:07:49 +08:00
f0375c4acd Update architecture image and ragflow-cli version (#10605)
### What problem does this PR solve?

1. Update architecture image
2. ragflow-cli doesn't indicate the version

### Type of change

- [x] Documentation Update

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-10-16 14:30:55 +08:00
8af769de41 Fix: add toc_kwd field and update page_num_int type (#10596)
### What problem does this PR solve?

- Added new field 'toc_kwd' to infinity_mapping.json for table of
contents keyword support
- Changed page_num_int from integer to array type in task_executor.py to
handle multiple page numbers

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-16 12:47:24 +08:00
f808bc32ba Fix (dataset setting): Remove the introduction and use of TagItems in the configuration. #9869 (#10595)
### What problem does this PR solve?

Fix (dataset setting): Remove the introduction and use of TagItems in
the configuration. #9869

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-16 12:46:54 +08:00
e8cb1d8fc4 Build(deps): Bump axios from 1.7.2 to 1.12.0 in /web (#10393)
Bumps [axios](https://github.com/axios/axios) from 1.7.2 to 1.12.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/axios/axios/releases">axios's
releases</a>.</em></p>
<blockquote>
<h2>Release v1.12.0</h2>
<h2>Release notes:</h2>
<h3>Bug Fixes</h3>
<ul>
<li>adding build artifacts (<a
href="9ec86de257">9ec86de</a>)</li>
<li>dont add dist on release (<a
href="a2edc3606a">a2edc36</a>)</li>
<li><strong>fetch-adapter:</strong> set correct Content-Type for Node
FormData (<a
href="https://redirect.github.com/axios/axios/issues/6998">#6998</a>)
(<a
href="a9f47afbf3">a9f47af</a>)</li>
<li><strong>node:</strong> enforce maxContentLength for data: URLs (<a
href="https://redirect.github.com/axios/axios/issues/7011">#7011</a>)
(<a
href="945435fc51">945435f</a>)</li>
<li>package exports (<a
href="https://redirect.github.com/axios/axios/issues/5627">#5627</a>)
(<a
href="aa78ac23fc">aa78ac2</a>)</li>
<li><strong>params:</strong> removing '[' and ']' from URL encode
exclude characters (<a
href="https://redirect.github.com/axios/axios/issues/3316">#3316</a>)
(<a
href="https://redirect.github.com/axios/axios/issues/5715">#5715</a>)
(<a
href="6d84189349">6d84189</a>)</li>
<li>release pr run (<a
href="fd7f404488">fd7f404</a>)</li>
<li><strong>types:</strong> change the type guard on isCancel (<a
href="https://redirect.github.com/axios/axios/issues/5595">#5595</a>)
(<a
href="0dbb7fd4f6">0dbb7fd</a>)</li>
</ul>
<h3>Features</h3>
<ul>
<li><strong>adapter:</strong> surface low‑level network error details;
attach original error via cause (<a
href="https://redirect.github.com/axios/axios/issues/6982">#6982</a>)
(<a
href="78b290c57c">78b290c</a>)</li>
<li><strong>fetch:</strong> add fetch, Request, Response env config
variables for the adapter; (<a
href="https://redirect.github.com/axios/axios/issues/7003">#7003</a>)
(<a
href="c959ff2901">c959ff2</a>)</li>
<li>support reviver on JSON.parse (<a
href="https://redirect.github.com/axios/axios/issues/5926">#5926</a>)
(<a
href="2a9763426e">2a97634</a>),
closes <a
href="https://redirect.github.com/axios/axios/issues/5924">#5924</a></li>
<li><strong>types:</strong> extend AxiosResponse interface to include
custom headers type (<a
href="https://redirect.github.com/axios/axios/issues/6782">#6782</a>)
(<a
href="7960d34ede">7960d34</a>)</li>
</ul>
<h3>Contributors to this release</h3>
<ul>
<li><!-- raw HTML omitted --> <a
href="https://github.com/WillianAgostini" title="+132/-16760
([#7002](https://github.com/axios/axios/issues/7002)
[#5926](https://github.com/axios/axios/issues/5926)
[#6782](https://github.com/axios/axios/issues/6782) )">Willian
Agostini</a></li>
<li><!-- raw HTML omitted --> <a
href="https://github.com/DigitalBrainJS" title="+4263/-293
([#7006](https://github.com/axios/axios/issues/7006)
[#7003](https://github.com/axios/axios/issues/7003) )">Dmitriy
Mozgovoy</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/mkhani01"
title="+111/-15 ([#6982](https://github.com/axios/axios/issues/6982)
)">khani</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/AmeerAssadi"
title="+123/-0 ([#7011](https://github.com/axios/axios/issues/7011)
)">Ameer Assadi</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/emiedonmokumo"
title="+55/-35 ([#6998](https://github.com/axios/axios/issues/6998)
)">Emiedonmokumo Dick-Boro</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/opsysdebug"
title="+8/-8 ([#6980](https://github.com/axios/axios/issues/6980)
)">Zeroday BYTE</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/jasonsaayman"
title="+7/-7 ([#6985](https://github.com/axios/axios/issues/6985)
[#6985](https://github.com/axios/axios/issues/6985) )">Jason
Saayman</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/HealGaren"
title="+5/-7 ([#5715](https://github.com/axios/axios/issues/5715)
)">최예찬</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/gligorkot"
title="+3/-1 ([#5627](https://github.com/axios/axios/issues/5627)
)">Gligor Kotushevski</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/adimit"
title="+2/-1 ([#5595](https://github.com/axios/axios/issues/5595)
)">Aleksandar Dimitrov</a></li>
</ul>
<h2>Release v1.11.0</h2>
<h2>Release notes:</h2>
<h3>Bug Fixes</h3>
<ul>
<li>form-data npm pakcage (<a
href="https://redirect.github.com/axios/axios/issues/6970">#6970</a>)
(<a
href="e72c193722">e72c193</a>)</li>
<li>prevent RangeError when using large Buffers (<a
href="https://redirect.github.com/axios/axios/issues/6961">#6961</a>)
(<a
href="a2214ca1bc">a2214ca</a>)</li>
<li><strong>types:</strong> resolve type discrepancies between ESM and
CJS TypeScript declaration files (<a
href="https://redirect.github.com/axios/axios/issues/6956">#6956</a>)
(<a
href="8517aa16f8">8517aa1</a>)</li>
</ul>
<h3>Contributors to this release</h3>
<ul>
<li><!-- raw HTML omitted --> <a href="https://github.com/izzygld"
title="+186/-93 ([#6970](https://github.com/axios/axios/issues/6970)
)">izzy goldman</a></li>
<li><!-- raw HTML omitted --> <a
href="https://github.com/manishsahanidev" title="+70/-0
([#6961](https://github.com/axios/axios/issues/6961) )">Manish
Sahani</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/noritaka1166"
title="+12/-10 ([#6938](https://github.com/axios/axios/issues/6938)
[#6939](https://github.com/axios/axios/issues/6939) )">Noritaka
Kobayashi</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/jrnail23"
title="+13/-2 ([#6956](https://github.com/axios/axios/issues/6956)
)">James Nail</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/Tejaswi1305"
title="+1/-1 ([#6894](https://github.com/axios/axios/issues/6894)
)">Tejaswi1305</a></li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/axios/axios/blob/v1.x/CHANGELOG.md">axios's
changelog</a>.</em></p>
<blockquote>
<h1><a
href="https://github.com/axios/axios/compare/v1.11.0...v1.12.0">1.12.0</a>
(2025-09-11)</h1>
<h3>Bug Fixes</h3>
<ul>
<li>adding build artifacts (<a
href="9ec86de257">9ec86de</a>)</li>
<li>dont add dist on release (<a
href="a2edc3606a">a2edc36</a>)</li>
<li><strong>fetch-adapter:</strong> set correct Content-Type for Node
FormData (<a
href="https://redirect.github.com/axios/axios/issues/6998">#6998</a>)
(<a
href="a9f47afbf3">a9f47af</a>)</li>
<li><strong>node:</strong> enforce maxContentLength for data: URLs (<a
href="https://redirect.github.com/axios/axios/issues/7011">#7011</a>)
(<a
href="945435fc51">945435f</a>)</li>
<li>package exports (<a
href="https://redirect.github.com/axios/axios/issues/5627">#5627</a>)
(<a
href="aa78ac23fc">aa78ac2</a>)</li>
<li><strong>params:</strong> removing '[' and ']' from URL encode
exclude characters (<a
href="https://redirect.github.com/axios/axios/issues/3316">#3316</a>)
(<a
href="https://redirect.github.com/axios/axios/issues/5715">#5715</a>)
(<a
href="6d84189349">6d84189</a>)</li>
<li>release pr run (<a
href="fd7f404488">fd7f404</a>)</li>
<li><strong>types:</strong> change the type guard on isCancel (<a
href="https://redirect.github.com/axios/axios/issues/5595">#5595</a>)
(<a
href="0dbb7fd4f6">0dbb7fd</a>)</li>
</ul>
<h3>Features</h3>
<ul>
<li><strong>adapter:</strong> surface low‑level network error details;
attach original error via cause (<a
href="https://redirect.github.com/axios/axios/issues/6982">#6982</a>)
(<a
href="78b290c57c">78b290c</a>)</li>
<li><strong>fetch:</strong> add fetch, Request, Response env config
variables for the adapter; (<a
href="https://redirect.github.com/axios/axios/issues/7003">#7003</a>)
(<a
href="c959ff2901">c959ff2</a>)</li>
<li>support reviver on JSON.parse (<a
href="https://redirect.github.com/axios/axios/issues/5926">#5926</a>)
(<a
href="2a9763426e">2a97634</a>),
closes <a
href="https://redirect.github.com/axios/axios/issues/5924">#5924</a></li>
<li><strong>types:</strong> extend AxiosResponse interface to include
custom headers type (<a
href="https://redirect.github.com/axios/axios/issues/6782">#6782</a>)
(<a
href="7960d34ede">7960d34</a>)</li>
</ul>
<h3>Contributors to this release</h3>
<ul>
<li><!-- raw HTML omitted --> <a
href="https://github.com/WillianAgostini" title="+132/-16760
([#7002](https://github.com/axios/axios/issues/7002)
[#5926](https://github.com/axios/axios/issues/5926)
[#6782](https://github.com/axios/axios/issues/6782) )">Willian
Agostini</a></li>
<li><!-- raw HTML omitted --> <a
href="https://github.com/DigitalBrainJS" title="+4263/-293
([#7006](https://github.com/axios/axios/issues/7006)
[#7003](https://github.com/axios/axios/issues/7003) )">Dmitriy
Mozgovoy</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/mkhani01"
title="+111/-15 ([#6982](https://github.com/axios/axios/issues/6982)
)">khani</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/AmeerAssadi"
title="+123/-0 ([#7011](https://github.com/axios/axios/issues/7011)
)">Ameer Assadi</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/emiedonmokumo"
title="+55/-35 ([#6998](https://github.com/axios/axios/issues/6998)
)">Emiedonmokumo Dick-Boro</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/opsysdebug"
title="+8/-8 ([#6980](https://github.com/axios/axios/issues/6980)
)">Zeroday BYTE</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/jasonsaayman"
title="+7/-7 ([#6985](https://github.com/axios/axios/issues/6985)
[#6985](https://github.com/axios/axios/issues/6985) )">Jason
Saayman</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/HealGaren"
title="+5/-7 ([#5715](https://github.com/axios/axios/issues/5715)
)">최예찬</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/gligorkot"
title="+3/-1 ([#5627](https://github.com/axios/axios/issues/5627)
)">Gligor Kotushevski</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/adimit"
title="+2/-1 ([#5595](https://github.com/axios/axios/issues/5595)
)">Aleksandar Dimitrov</a></li>
</ul>
<h1><a
href="https://github.com/axios/axios/compare/v1.10.0...v1.11.0">1.11.0</a>
(2025-07-22)</h1>
<h3>Bug Fixes</h3>
<ul>
<li>form-data npm pakcage (<a
href="https://redirect.github.com/axios/axios/issues/6970">#6970</a>)
(<a
href="e72c193722">e72c193</a>)</li>
<li>prevent RangeError when using large Buffers (<a
href="https://redirect.github.com/axios/axios/issues/6961">#6961</a>)
(<a
href="a2214ca1bc">a2214ca</a>)</li>
<li><strong>types:</strong> resolve type discrepancies between ESM and
CJS TypeScript declaration files (<a
href="https://redirect.github.com/axios/axios/issues/6956">#6956</a>)
(<a
href="8517aa16f8">8517aa1</a>)</li>
</ul>
<h3>Contributors to this release</h3>
<ul>
<li><!-- raw HTML omitted --> <a href="https://github.com/izzygld"
title="+186/-93 ([#6970](https://github.com/axios/axios/issues/6970)
)">izzy goldman</a></li>
<li><!-- raw HTML omitted --> <a
href="https://github.com/manishsahanidev" title="+70/-0
([#6961](https://github.com/axios/axios/issues/6961) )">Manish
Sahani</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/noritaka1166"
title="+12/-10 ([#6938](https://github.com/axios/axios/issues/6938)
[#6939](https://github.com/axios/axios/issues/6939) )">Noritaka
Kobayashi</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/jrnail23"
title="+13/-2 ([#6956](https://github.com/axios/axios/issues/6956)
)">James Nail</a></li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="0d8ad6e1de"><code>0d8ad6e</code></a>
chore(release): v1.12.0 (<a
href="https://redirect.github.com/axios/axios/issues/7013">#7013</a>)</li>
<li><a
href="fd7f404488"><code>fd7f404</code></a>
fix: release pr run</li>
<li><a
href="a2edc3606a"><code>a2edc36</code></a>
fix: dont add dist on release</li>
<li><a
href="9ec86de257"><code>9ec86de</code></a>
fix: adding build artifacts</li>
<li><a
href="945435fc51"><code>945435f</code></a>
fix(node): enforce maxContentLength for data: URLs (<a
href="https://redirect.github.com/axios/axios/issues/7011">#7011</a>)</li>
<li><a
href="28e5e3016d"><code>28e5e30</code></a>
chore(sponsor): update sponsor block (<a
href="https://redirect.github.com/axios/axios/issues/7005">#7005</a>)</li>
<li><a
href="d03f245a40"><code>d03f245</code></a>
chore(CI): fixed release info script to use npm registry instead of git
as fi...</li>
<li><a
href="a0bc911379"><code>a0bc911</code></a>
chore: removing dist files from src (<a
href="https://redirect.github.com/axios/axios/issues/7002">#7002</a>)</li>
<li><a
href="c959ff2901"><code>c959ff2</code></a>
feat(fetch): add fetch, Request, Response env config variables for the
adapte...</li>
<li><a
href="a9f47afbf3"><code>a9f47af</code></a>
fix(fetch-adapter): set correct Content-Type for Node FormData (<a
href="https://redirect.github.com/axios/axios/issues/6998">#6998</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/axios/axios/compare/v1.7.2...v1.12.0">compare
view</a></li>
</ul>
</details>
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2025-10-16 09:40:18 +08:00
4e86ee4ff9 Feat: Support Specifying OpenRouter Model Provider (#10550)
### What problem does this PR solve?
issue:
[#5787](https://github.com/infiniflow/ragflow/issues/5787)
change:
Support Specifying OpenRouter Model Provider

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-16 09:39:59 +08:00
c99034f717 Update admin client README and doc (#10594)
### What problem does this PR solve?

As title

### Type of change

- [x] Documentation Update

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-10-16 09:39:10 +08:00
86b254d214 Improve file management (#10577)
### What problem does this PR solve?

Improve file management. #10287.

Passed tests:

1. Create folder `A` and `B`.
2. Upload a file inside `A`, called `file`.
3. Create a KB, called `K`.
3. Link `file` to `K`.
4. Parse `file` inside of `K`. (OK)
5. Move `file` from `A` to `B`.
6. Parse `file` inside of `K`. (OK)
7. Move `file` from `B` to `A`.
8. Parse `file` inside of `K`. (OK)
9. Move entire folder `A` into `B`. (B -> A -> file)
10. Parse `file` inside of `K`. (OK)
11. Delete folder `B`.
12. All clear. (There is no document inside of `K`)

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-16 09:38:25 +08:00
1c38f4cefb Use relative path to import same module (#10587)
### What problem does this PR solve?

As title

### Type of change

- [x] Refactoring

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-10-15 21:04:17 +08:00
74c195cd36 Doc: Added Long context RAG guide (#10591)
### What problem does this PR solve?

### Type of change


- [x] Documentation Update
2025-10-15 21:00:19 +08:00
e48bec1cbf Don't rerank for infinity (#10579)
### What problem does this PR solve?

Don't need rerank for infinity since Infinity normalizes each way score
before fusion.

### Type of change

- [x] Refactoring
2025-10-15 20:15:49 +08:00
205a5eb9f5 Docs: Updated dataset configuration, KG building and RAPTOR building for v0.21.0 (#10584)
### What problem does this PR solve?



### Type of change


- [x] Documentation Update
2025-10-15 16:39:26 +08:00
8844826208 Refactor admin client for message prompts (#10583)
### What problem does this PR solve?

As title

### Type of change

- [x] Refactoring

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-10-15 16:22:07 +08:00
8fe4281d81 Fix (i18n): Update the Chinese and English description of RAPTOR functionality #9869 (#10581)
…tionality

### What problem does this PR solve?

Fix (i18n): Update the Chinese and English description of RAPTOR
functionality #9869

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-15 15:42:46 +08:00
f0
fb1bedbd3c fix(_handle_entity_relation_summary): correctly calculate the descriptions_list (#10534)
### What problem does this PR solve?

Since `description_list` was a tuple containing a single element (which
was the actual list of descriptions), `len(description_list)` was always
**1**.

The subsequent check:
`if len(description_list) <= 12:` always evaluated to `True` (since $1
\le 12$), even if the inner list contained more than 12 descriptions.
This prevented the necessary summarization logic from running for long
lists.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-15 15:30:06 +08:00
6e55b9146c Doc: update released tag. (#10578)
### What problem does this PR solve?

Update to released version tag in pyproject.toml 

### Type of change

- [x] Documentation Update
2025-10-15 15:14:52 +08:00
071ea9c493 Fix: support auto width when print table (#10575)
### What problem does this PR solve?

Print table support auto width.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-15 14:57:44 +08:00
5037a28e4d Fix problem with Google Cloud models with reasoning (like gemini) - Additional fix to issue #10474 (#10502)
### What problem does this PR solve?

Issue #10474  -  Update to PR #10477 

### Type of change

- [X] Bug Fix (non-breaking change which fixes an issue)
2025-10-15 14:54:20 +08:00
fdac4afd10 Fix admin: can't read config and empty line error (#10574)
### What problem does this PR solve?

As title.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-10-15 13:07:16 +08:00
769d701f56 Fix: Optimize metadata filters, add Ingestion pipeline options to agent templates page #9869 (#10572)
### What problem does this PR solve?

Fix: Optimize metadata filters, add Ingestion pipeline options to agent
templates page

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-15 12:31:05 +08:00
8b512cdadf Feat: Creating a data flow from a template page #9869 (#10573)
### What problem does this PR solve?

Feat: Creating a data flow from a template page #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-15 12:22:41 +08:00
3ae126836a Docs: Update version references to v0.21.0 in READMEs and docs (#10565)
### What problem does this PR solve?

- Update version tags in README files (including translations) from
v0.20.5 to v0.21.0
- Modify Docker image references and documentation to reflect new
version
- Update version badges and image descriptions
- Maintain consistency across all language variants of README files

### Type of change

- [x] Documentation Update
2025-10-15 11:46:24 +08:00
e8bfda6020 Fix: Click the reset button on the agent page shared externally, and the greeting in conversation mode should not be deleted. #10567 (#10571)
### What problem does this PR solve?

Fix: Click the reset button on the agent page shared externally, and the
greeting in conversation mode should not be deleted. #10567
### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-15 11:22:37 +08:00
34c54cd459 Fix: agent templates... (#10564)
### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-15 10:31:30 +08:00
3d873d98fb Update README (#10563)
### Type of change

- [x] Documentation Update
2025-10-15 09:58:07 +08:00
fbe25b5add Fix release notes (#10560)
### What problem does this PR solve?

Use infinity 0.6.0

### Type of change

- [x] Documentation Update

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-10-15 09:27:52 +08:00
0c6c7c8fe7 Update release notes 2025-10-14 23:22:51 +08:00
e266f9a66f Doc: Added v0.21.0 release notes (#10559)
### What problem does this PR solve?

### Type of change

- [x] Documentation Update
2025-10-14 23:16:19 +08:00
fde6e5ab39 Feat: Create Stock_research_report.json (#10555)
ini

### What problem does this PR solve?

Create Stock_research_report.json

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

---------

Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
2025-10-14 21:35:20 +08:00
67529825e2 Feat: Contribute ingestion pipeline templates (#10551)
### Type of change

- [x] Other (please describe): contribute agent templates
2025-10-14 21:29:42 +08:00
738a7d5c24 Fix: Adding Ingestion Pipeline Classification to Agents Template #9869 (#10556)
### What problem does this PR solve?

Fix: Adding Ingestion Pipeline Classification to Agents Template #9869

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-14 21:06:49 +08:00
83ec915d51 Feat: auto release (#10557)
### What problem does this PR solve?

Add cli build to release.yml.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-14 21:06:27 +08:00
e535099f36 bump infinity to v0.6.0 (#10558)
### What problem does this PR solve?

bump infinity to v0.6.0

### Type of change

- [x] Other (please describe): Infinity
2025-10-14 20:52:11 +08:00
16b5feadb7 Fix: canvas list with team. (#10549)
### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-14 19:38:54 +08:00
960f47c4d4 Fix: When I click to interrupt the chat, the page reports an error #10553 (#10554)
### What problem does this PR solve?
Fix: When I click to interrupt the chat, the page reports an error
#10553

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-14 19:07:18 +08:00
51139de178 Fix: Switch the default theme from light mode to dark mode and improve some styles #9869 (#10552)
### What problem does this PR solve?

Fix: Switch the default theme from light mode to dark mode and improve
some styles #9869
-Update UI component styles such as input boxes, tables, and prompt
boxes
-Optimize login page layout and style details
-Revise some of the wording, such as uniformly changing "data flow" to
"pipeline"
-Adjust the parser to support the markdown type

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-14 19:06:50 +08:00
1f5167f1ca Feat: Adjust the style of note nodes #9869 (#10547)
### What problem does this PR solve?

Feat: Adjust the style of note nodes #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-14 17:15:26 +08:00
578ea34b3e Feat: build ragflow-cli (#10544)
### What problem does this PR solve?

Build admin client.

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-14 16:28:43 +08:00
5fb3d2f55c Fix: update parser id for change_parser. (#10545)
### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-14 15:49:05 +08:00
d99d1e3518 Feat: Merge splitter and hierarchicalMerger into one node #9869 (#10543)
### What problem does this PR solve?

Feat: Merge splitter and hierarchicalMerger into one node #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-14 14:55:47 +08:00
5b387b68ba The 'cmd' module is introduced to make the CLI easy to use. (#10542)
…pdate comand

### What problem does this PR solve?

To make the CLI easy to use.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

---------

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-10-14 14:53:00 +08:00
f92a45dcc4 Feat: let toc run asynchronizly... (#10513)
### What problem does this PR solve?

#10436 

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-14 14:14:52 +08:00
c4b8e4845c Docs: The full edition has only two built-in embedding models (#10540)
### What problem does this PR solve?

_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._

### Type of change

- [x] Documentation Update
2025-10-14 14:13:37 +08:00
87659dcd3a Fix: unexpected Auth return code (#10539)
### What problem does this PR solve?

Fix unexpected Auth return code.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-14 14:13:10 +08:00
6fd9508017 Docs: Updated parse_documents (#10536)
### What problem does this PR solve?

### Type of change

- [x] Documentation Update
2025-10-14 13:40:56 +08:00
113851a692 Add 'status' field when list services (#10538)
### What problem does this PR solve?

```
admin> list services;
command: list services;
Listing all services
+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+---------+
| extra                                                                                     | host      | id | name          | port  | service_type   | status  |
+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+---------+
| {}                                                                                        | 0.0.0.0   | 0  | ragflow_0     | 9380  | ragflow_server | Timeout |
| {'meta_type': 'mysql', 'password': 'infini_rag_flow', 'username': 'root'}                 | localhost | 1  | mysql         | 5455  | meta_data      | Alive   |
| {'password': 'infini_rag_flow', 'store_type': 'minio', 'user': 'rag_flow'}                | localhost | 2  | minio         | 9000  | file_store     | Alive   |
| {'password': 'infini_rag_flow', 'retrieval_type': 'elasticsearch', 'username': 'elastic'} | localhost | 3  | elasticsearch | 1200  | retrieval      | Alive   |
| {'db_name': 'default_db', 'retrieval_type': 'infinity'}                                   | localhost | 4  | infinity      | 23817 | retrieval      | Timeout |
| {'database': 1, 'mq_type': 'redis', 'password': 'infini_rag_flow'}                        | localhost | 5  | redis         | 6379  | message_queue  | Alive   |
+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+---------+
admin> 
Use '\q' to quit
admin> 
```

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

---------

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-10-14 13:40:32 +08:00
66c69d10fe Fix: Update the parsing editor to support dynamic field names and optimize UI styles #9869 (#10535)
### What problem does this PR solve?

Fix: Update the parsing editor to support dynamic field names and
optimize UI styles #9869
-Modify the default background color of UI components such as Input and
Select to 'bg bg base'`
-Remove TagItems component reference from naive configuration page

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-14 13:31:48 +08:00
781d49cd0e Feat: Display the configuration of data flow operators on the node #9869 (#10533)
### What problem does this PR solve?

Feat: Display the configuration of data flow operators on the node #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-14 13:30:54 +08:00
aaae938f54 Add kibana tool in the docker compose file(#10525) (#10526)
### What problem does this PR solve?

add kibana tool in the docker compose file(#10525)

### Type of change


- [x] New Feature (non-breaking change which adds functionality)

Co-authored-by: virgilwong <hyhvirgil@gmail.com>
2025-10-14 09:38:47 +08:00
9e73f799b2 Feat: add Zhipu GLM-ASR model (#10529)
### What problem does this PR solve?

Add Zhipu GLM-ASR model

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-14 09:32:45 +08:00
21a62130c8 Fix: empty references in agent conversation (#10528)
### What problem does this PR solve?
issue:
#10495
change:
fix empty references in agent conversation

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-14 09:32:13 +08:00
68e47c81d4 Feat: Add parse_document with feed back (#10523)
### What problem does this PR solve?

Solved: Sync Parse Document API #5635
Feat: Add parse_document with feed back, user can view the status of
each document after parsing finished.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
2025-10-14 09:31:19 +08:00
f11d8af936 Fix: wrong Knowledgebase tasks_finish_at (#10521)
### What problem does this PR solve?

Wrong Knowledgebase tasks_finish_at.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-14 09:30:46 +08:00
74ec734d69 Feat: add admin server to docker (#10522)
### What problem does this PR solve?

Add admin server to docker.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-13 19:05:54 +08:00
8c75803b70 Fix: XSS vulnerability in Ragflow's chat view (#10519)
### What problem does this PR solve?

Fix: XSS vulnerability in Ragflow's chat view

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-13 19:04:25 +08:00
ff4239c7cf Docs: Updated descriptions on metadata filtering (#10518)
### What problem does this PR solve?

### Type of change

- [x] Documentation Update
2025-10-13 17:33:04 +08:00
cf5867b146 Feat: Merge title splitter and token splitter into chunker category #9869 (#10517)
### What problem does this PR solve?

Feat: Merge title splitter and token splitter into chunker category
#9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-13 15:46:14 +08:00
77481ab3ab Fix: Optimized the login page and fixed some known issues. #9869 (#10514)
### What problem does this PR solve?

Fix: Optimized the login page and fixed some known issues. #9869

- Added the FlipCard3D component to implement a 3D flip effect on the
login/registration forms.
- Adjusted the Spotlight component to support custom positioning and
color configurations.
- Updated the route to point to the new login page /login-next.
- Added a cancel interface to the auto-generate function.
- Fixed scroll bar issues in PDF preview.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-13 15:31:36 +08:00
9c53b3336a Fix: The Context Generator(Transformer) node can only be followed by a Tokenizer(Indexer) and a Context Generator(Transformer). #9869 (#10515)
### What problem does this PR solve?

Fix: The Context Generator node can only be followed by a Tokenizer and
a Context Generator. #9869
### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-13 14:37:30 +08:00
24481f0332 Fix: Update lm studio models support, refer to #8116 (#10509)
### What problem does this PR solve?

Fix: Update lm studio models support, refer to #8116

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Documentation Update
2025-10-13 13:58:08 +08:00
4e6b84bb41 Feat: add trino support (#10512)
### What problem does this PR solve?
issue:
[#10296](https://github.com/infiniflow/ragflow/issues/10296)
change:
- ExeSQL: support connecting to Trino.
- Validation: password can be empty only when db_type === "trino";
  all other database types keep the existing requirement (non-empty).

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-13 13:57:40 +08:00
65c3f0406c Fix: maintain backward compatibility for KB tasks (#10508)
### What problem does this PR solve?

Maintain backward compatibility for KB tasks

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-13 11:53:48 +08:00
7fb8b30cc2 fix: decode before format to json (#10506)
### What problem does this PR solve?

Decode bytes before format to json.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-13 11:11:06 +08:00
acca3640f7 Feat: Modify the background color of the canvas #9869 (#10507)
### What problem does this PR solve?

Feat: Modify the background color of the canvas #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-13 11:10:54 +08:00
58836d84fe Fix: Mcp reset error, #10497 (#10498)
### What problem does this PR solve?

Fix #10497

### Type of change

- [X] Bug Fix (non-breaking change which fixes an issue)
2025-10-13 09:34:44 +08:00
ad56137a59 Feat: ​​OpenSearch's support for newly embedding models​​ (#10494)
### What problem does this PR solve?

fix issues:https://github.com/infiniflow/ragflow/issues/10402

As the newly distributed embedding models support vector dimensions max
to 4096, while current OpenSearch's max dimension support is 1536.
As I tested, the 4096-dimensions vector will be treated as a float type
which is unacceptable in OpenSearch.

Besides, OpenSearch supports max to 16000 dimensions by defalut with the
vector engine(Faiss). According to:
https://docs.opensearch.org/2.19/field-types/supported-field-types/knn-methods-engines/

I added max to 10240 dimensions support for OpenSearch, as I think will
be sufficient in the future.

As I tested , it worked well on my own server (treated as knn_vector)by
using qwen3-embedding:8b as the embedding model:
<img width="1338" height="790" alt="image"
src="https://github.com/user-attachments/assets/a9b2d284-fcf6-4cea-859a-6aadccf36ace"
/>


### Type of change

- [x] New Feature (non-breaking change which adds functionality)


By the way, I will still focus on the stuff about
Elasticsearch/Opensearch as search engines and vector databases.

Co-authored-by: 张雨豪 <zhangyh80@chinatelecom.cn>
2025-10-11 19:58:12 +08:00
2828e321bc Fix: remove lang for autio. (#10496)
### What problem does this PR solve?


### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-11 19:38:07 +08:00
932781ea4e Fix: incorrect agent template #10393 (#10491)
### What problem does this PR solve?

Fix: incorrect agent template #10493

### Type of change

- [X] Bug Fix (non-breaking change which fixes an issue)
2025-10-11 19:37:42 +08:00
5200711441 Feat: add support for multi-column PDF parsing (#10475)
### What problem does this PR solve?

Add support for multi-columns PDF parsing. #9878, #9919.

Two-column sample:
<img width="1885" height="1020" alt="image"
src="https://github.com/user-attachments/assets/0270c028-2db8-4ca6-a4b7-cd5830882d28"
/>

Three-column sample: 
<img width="1881" height="992" alt="image"
src="https://github.com/user-attachments/assets/9ee88844-d5b1-4927-9e4e-3bd810d6e03a"
/>

Single-column sample:
<img width="1883" height="1042" alt="image"
src="https://github.com/user-attachments/assets/e93d3d18-43c3-4067-b5fa-e454ed0ab093"
/>



### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
2025-10-11 18:46:09 +08:00
c21cea2038 Fix: Added table of contents extraction functionality and optimized form item layout #9869 (#10492)
### What problem does this PR solve?

Fix: Added table of contents extraction functionality and optimized form
item layout #9869

- Added `EnableTocToggle` component to toggle table of contents
extraction on and off
- Added multiple parser configuration components (such as naive, book,
laws, etc.), displaying different parser components based on built-in
slicing methods

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-11 18:45:55 +08:00
6a0f448419 Feat: Modify the default style of the agent node anchor #9869 (#10489)
### What problem does this PR solve?

Feat: Modify the default style of the agent node anchor #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-11 18:45:38 +08:00
7d2f65671f Feat: debugging toc part. (#10486)
### What problem does this PR solve?

#10436

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-11 18:45:21 +08:00
a0d5f81098 Feat: include author, journal name, volume, issue, page, and DOI in PubMed search results (#10481)
### What problem does this PR solve?

issue:
[#6571](https://github.com/infiniflow/ragflow/issues/6571)
change:
include author, journal name, volume, issue, page, and DOI in PubMed
search results

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-11 16:00:16 +08:00
52f26f4643 feat(login): Refactor the login page and add dynamic background and highlight effects #9869 (#10482)
### What problem does this PR solve?

Refactor(login): Refactor the login page and add dynamic background and
highlight effects #9869

### Type of change
- [x] Refactoring
2025-10-11 15:24:42 +08:00
313e92dd9b Fix: Fixed the issue where the connection lines of placeholder nodes in the agent canvas could not be displayed #9869 (#10485)
### What problem does this PR solve?

Fix: Fixed the issue where the connection lines of placeholder nodes in
the agent canvas could not be displayed #9869

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-11 15:24:27 +08:00
fee757eb41 Fix: Disable reasoning on Gemini 2.5 Flash by default (#10477)
### What problem does this PR solve?

Gemini 2.5 Flash Models use reasoning by default. There is currently no
way to disable this behaviour. This leads to very long response times (>
1min). The default behaviour should be, that reasoning is disabled and
configurable

issue #10474 

### Type of change

- [X] Bug Fix (non-breaking change which fixes an issue)
2025-10-11 10:22:51 +08:00
b5ddc7ca05 fix: return type annotation for get_urls() in download_deps (#10478)
### What problem does this PR solve?

Fixes the return type annotation for the `get_urls` function in
`download_deps.py`

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-11 09:49:09 +08:00
534fa60b2a Fix: Agent.reset() argument wrong #10463 & Unable to converse with agent through Python API. #10415 (#10472)
### What problem does this PR solve?
Fix: Agent.reset() argument wrong #10463 & Unable to converse with agent
through Python API. #10415

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-10 20:44:05 +08:00
390b2b8f26 Feat: Adjust the style of the delete button on the agent side #9869 (#10473)
### What problem does this PR solve?

Feat: Adjust the style of the delete button on the agent side #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-10 19:52:08 +08:00
0283e4098f Fix #10408 (#10471)
### What problem does this PR solve?

Google Cloud model does not work correctly with gemini-2.5 models
Close #10408

### Type of change

- [X] Bug Fix (non-breaking change which fixes an issue)

---------

Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
2025-10-10 19:18:24 +08:00
2cdba3d1e6 Fix: Fixed the issue where swagger apidocs could not be opened properly(#9522) (#10461)
### What problem does this PR solve?

Fix: Fixed the issue where swagger apidocs could not be opened
properly(#9522)

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

Co-authored-by: virgilwong <hyhvirgil@gmail.com>
2025-10-10 18:36:20 +08:00
f0
eb0b37d7ee typo: fix _entity_index_dilimiter_key to entity_index_delimiter_key (#10465)
### What problem does this PR solve?

typo: fix _entity_index_dilimiter_key to entity_index_delimiter_key

### Type of change

- [x] Refactoring
2025-10-10 18:36:00 +08:00
198e52e990 Feat: Added toc enhance field to chat and retrieval operator configuration #10436 (#10470)
### What problem does this PR solve?

Feat: Added toc enhance field to chat and retrieval operator
configuration #10436

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-10 18:35:43 +08:00
a50ccf77f9 Fix: Fixed some discovered bugs #9869 (#10466)
### What problem does this PR solve?

Fix: Bug fixes #9869
- Adjusted the breadcrumb display logic on the data flow results page
- Added the default display of "Local Upload" to the Source field in the
dataset overview table
- Replaced the original Mindmap Task field with the GraphRAG Task field
on the dataset settings page
- Optimized the build button status check criteria and adjusted the
progress information display logic
- Introduced a Tooltip in the parsing status cell component and removed
redundant Button components

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-10 17:16:34 +08:00
deaf15a08b Fix: typo (#10469)
### What problem does this PR solve?

Fix some typo in document.

### Type of change

- [x] Documentation Update
2025-10-10 17:08:20 +08:00
0d8791936e Feat: TOC retrieval (#10456)
### What problem does this PR solve?

#10436

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-10 17:07:55 +08:00
5d167cd772 feat: support qwq reasoning models with non-stream output (#10468)
### What problem does this PR solve?
issue:
[#6193](https://github.com/infiniflow/ragflow/issues/6193)
change:
support qwq reasoning models with non-stream output

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-10 16:38:04 +08:00
f35c5ed119 Fix: Fixed an issue where parser configurations could be added infinitely #9869 (#10464)
### What problem does this PR solve?

Fix: Fixed an issue where parser configurations could be added
infinitely #9869

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-10 16:30:13 +08:00
fc46d6bb87 Fix: Fixed the issue where the operator added by clicking the plus sign in the data flow would overlap with the original section #9886 (#10458)
### What problem does this PR solve?

Fix: Fixed the issue where the operator added by clicking the plus sign
in the data flow would overlap with the original section #9886

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-10 13:10:18 +08:00
8252b1c5c0 bump infinity (#10422)
### What problem does this PR solve?

bump infinity to v0.6.0-dev7
Needs https://github.com/infiniflow/infinity/pull/3016

### Type of change
- [x] Other (please describe): Infinity
2025-10-10 12:41:45 +08:00
c802a6ffdd Feat: Add prompts for toc relevance check according to #10436 (#10457)
### What problem does this PR solve?

Feat: Add prompts for toc relevance check according to #10436

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-10 11:44:46 +08:00
9b06734ced Feat: add total in List dataset API (#10448)
### What problem does this PR solve?

Feat: add total in List dataset API,  solved #10360 

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-10 11:20:55 +08:00
6ab4c1a6e9 Refactor: improve how NvidiaCV calculate res total token counts (#10455)
### What problem does this PR solve?
improve how NvidiaCV calculate res total token counts

### Type of change
- [x] Refactoring
2025-10-10 11:03:40 +08:00
f631073ac2 Fix OCR GPU provider mem limit handling (#10407)
### What problem does this PR solve?

- Running DeepDoc OCR on large PDFs inside the GPU docker-compose setup
would intermittently fail with
[ONNXRuntimeError] ... p2o.Clip.6 ... Available memory of 0 is smaller
than requested bytes ...
- Root cause: load_model() in deepdoc/vision/ocr.py treated
device_id=None as-is.
torch.cuda.device_count() > device_id then raised a TypeError, the
helper returned False, and ONNXRuntime quietly fell back to
CPUExecutionProvider with
the hard-coded 512 MB limit, which then triggered the allocator failure.
- Environment where this reproduces: Windows 11, AMD 5900x, 64 GB RAM,
RTX 3090 (24 GB), docker-compose-gpu.yml from upstream, default DeepDoc
+ GraphRAG
parser settings, ingesting heavy PDF such as 《内科学》(第10版).pdf (~180 MB).

  Fixes:

- Normalize device_id to 0 when it is None before calling any CUDA APIs,
so the GPU path is considered available.
- Allow configuring the CUDA provider’s memory cap via
OCR_GPU_MEM_LIMIT_MB (default 2048 MB) and expose
OCR_ARENA_EXTEND_STRATEGY; the calculated byte
  limit is logged to confirm the effective settings.

  After the change, ragflow_server.log shows for example
load_model ... uses GPU (device 0, gpu_mem_limit=21474836480,
arena_strategy=kNextPowerOfTwo) and the same document finishes OCR
without allocator errors.

  ### Type of change

  - [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-10 11:03:12 +08:00
8aabc2807c Feat: Pipeline Docx file supports Markdown output (#10439)
### What problem does this PR solve?

Pipeline Docx file supports Markdown output.

<img width="1242" height="755" alt="image"
src="https://github.com/user-attachments/assets/63cca75b-20b9-4a90-a01c-c0c2fccf1f2a"
/>

<img width="1227" height="717" alt="image"
src="https://github.com/user-attachments/assets/0dcb94b2-7ba0-48d5-9231-dc6e5c4b4192"
/>


### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-10 09:39:15 +08:00
d931c33ced Fix typos: retrievaler -> retriever (#10372)
### What problem does this PR solve?

Fix typos

### Type of change

- [x] Refactoring

---------

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-10-10 09:17:36 +08:00
f4324e89d9 Feat: Importing data flow files from the list page #9869 (#10446)
### What problem does this PR solve?

Feat: Importing data flow files from the list page #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-09 19:03:29 +08:00
f04c9e2937 Fix: correctly update parser method & correct vllm pdf parser (#10441)
### What problem does this PR solve?

Fix: correctly update parser method

### Type of change

- [X] Bug Fix (non-breaking change which fixes an issue)
2025-10-09 19:03:12 +08:00
1fc2889f98 Feat: Replace the collapse icon #9869 (#10442)
### What problem does this PR solve?

Feat: Replace the collapse icon #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-09 17:21:38 +08:00
ee0c38da66 fix:update searxng_url logic (#10440)
### What problem does this PR solve?
issue:
[#10417](https://github.com/infiniflow/ragflow/issues/10417)
change:
Adjusted the `searxng_url` priority logic to ensure the
frontend-provided URL takes precedence over the model’s default
configuration. This allows user-specified SearXNG endpoints to be
correctly applied during execution, improving flexibility across
different environments.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-10-09 16:56:23 +08:00
c1806e1ab2 Fix: Bug fixes and removed previous settings page code #9869 (#10435)
### What problem does this PR solve?

Fix: Bug fixes and removed previous settings page code
- Modified the default text color class name in the FileStatusBadge
component
- Adjusted the FilterType interface definition for ListFilterBar to
support JSX labels and an optional count field
- Removed redundant changeRaptor callback functions and comment blocks
in RaptorFormFields
- Corrected the isHorizontal check logic in SliderInputFormField
- Optimized the Command component's scrolling behavior and enhanced its
event handling
- Adjusted the TooltipContent style to support automatic scrollbar
display
- Removed the old settings page

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

---------

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2025-10-09 16:55:27 +08:00
66d0d44a00 Feat: HTTP componant supports variables (#10432)
### What problem does this PR solve?

HTTP component supports variables. #10382




![http1](https://github.com/user-attachments/assets/196a2a5b-461c-455c-8896-ec2efe7c0a13)


![http2](https://github.com/user-attachments/assets/0ab97cb0-323c-456e-b556-6f416d52e59f)


### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-09 16:05:58 +08:00
2078d88c28 Feat: Modify the translation file of the workflow #9869 (#10430)
### What problem does this PR solve?
Feat: Modify the translation file of the workflow #9869


### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-10-09 13:55:36 +08:00
7734ad7fcd Doc: guide for admin service (#10431)
### What problem does this PR solve?

Add guide document for admin cli and service.

### Type of change

- [x] Documentation Update
2025-10-09 13:48:02 +08:00
1a47e136e3 Feat: Adds a new feature that enables the LLM to extract a structured table of contents (TOC) directly from plain text. (#10428)
### What problem does this PR solve?

**Adds a new feature that enables the LLM to extract a structured table
of contents (TOC) directly from plain text.**
_This implementation prioritizes efficiency over reasoning — the model
runs in a strictly deterministic mode (thinking disabled) to minimize
latency.
As a result, overall performance may be less optimal, but the extraction
speed and consistency are guaranteed._

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-10-09 13:47:31 +08:00
cbf04ee470 Feat: Use data pipeline to visualize the parsing configuration of the knowledge base (#10423)
### What problem does this PR solve?

#9869

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

---------

Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: jinhai <haijin.chn@gmail.com>
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2025-10-09 12:36:19 +08:00
ef0aecea3b Refactor: fix admin exception (#10400)
### What problem does this PR solve?

As title

### Type of change

- [x] Refactoring

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-10-09 11:15:33 +08:00
dfc5fa1f4d Feat: add DeerAPI support (#10303)
### Related issues
#10078 

### What problem does this PR solve?
Integrate DeerAPI provider.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update

Co-authored-by: DeerAPI <tensor.null@gmail.com>
2025-10-09 11:14:49 +08:00
f341dc03b8 Feature/agent UI style optimization (#10385)
### What problem does this PR solve?

Hi team,  @ZhenhangTung @KevinHuSh  @cike8899 
About #10384 , I've completed the UI optimization adjustments for the
Agent page according to our previous discussions and the design draft
sketches provided by @Naomi. The main modifications include:

1. Adjusted the style and content of placeholder-node.
2. Adjusted the location of the dropdown (to the right of the
placeholder-node) .
3. Adjusted the tooltip position spacing when the mouse hovers in the
dropdown menu.
4. Hides the thick scroll bar on the dropdown component.
5. Highlight the connection line when dragging to generate a
placeholder-node

<img width="1323" height="509" alt="Image"
src="https://github.com/user-attachments/assets/0d366f7f-477d-4c00-bb58-d5d58b3a745f"
/>

Please review the related code modifications when you have time. Let me
know if further adjustments are needed!
Thanks!

### Type of change

- [x] Other (please describe): UI Enhancement

---------

Co-authored-by: leonlai <leonlai@futurefab.ai>
2025-10-09 11:12:12 +08:00
4585edc20e Refactor: improve cv model logics (#10414)
1. improve how to get total token count

Improve how to get total token count

### Type of change
- [x] Refactoring
2025-10-09 09:47:36 +08:00
dba9158f9a Fix MY_GITHUB_TOKEN (#10404)
### What problem does this PR solve?

Fix MY_GITHUB_TOKEN

### Type of change

- [x] Other (please describe): CI
2025-10-03 16:49:58 +08:00
82f572ff95 Check workflow duplication (#10399)
### What problem does this PR solve?

Check workflow duplication

### Type of change

- [x] Other (please describe): CI
2025-10-02 10:57:08 +08:00
518a00630e Fix highlight with infinity (#10345)
Fix highlight with infinity
Fix on OpenSUSE Tumbleweed

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-30 19:15:01 +08:00
aa61ae24dc Doc: Fixed a typo (#10391)
### What problem does this PR solve?


### Type of change


- [x] Documentation Update
2025-09-30 18:57:34 +08:00
fb950079ef Feat/service manage (#10381)
### What problem does this PR solve?

- Admin service support SHOW SERVICE <id>.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

issue: #10241
2025-09-30 16:23:09 +08:00
aec8c15e7e fix: reset chat state when creating new dialog (#10380)
### What problem does this PR solve?
issue:
[Question]: New Chat Creation Renames Edited Chat Instead of Creating a
New One #10373
change:
reset chat state when creating new dialog

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-30 16:05:38 +08:00
7c620bdc69 Fix: unexpected operation of document management (#10366)
### What problem does this PR solve?

 Unexpected operation of document management.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-30 15:20:38 +08:00
e7dde69584 Fix: reset tools in/out-put. (#10378)
### What problem does this PR solve?

#10361

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-30 15:13:18 +08:00
d6eded1959 Refactor: move exceptions to common folder (#10383)
### What problem does this PR solve?

as title

### Type of change

- [x] Refactoring

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-09-30 15:10:04 +08:00
80f851922a Feat: add support for LongCat-Flash-Thinking and Claude Sonnet 4.5 (#10374)
### What problem does this PR solve?

Add support for LongCat-Flash-Thinking and Claude Sonnet 4.5.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-30 12:04:14 +08:00
17757930a3 Feat: add support for international Dashscope service (#10356)
### What problem does this PR solve?

 Add support for international Dashscope service. #10340 

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-29 14:49:45 +08:00
a8883905a7 Feat: Add baseUrl to the Tongyi Qianwen model configuration modal #10340 (#10357)
### What problem does this PR solve?

Feat: Add baseUrl to the Tongyi Qianwen model configuration modal #10340

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-29 12:44:18 +08:00
8426cbbd02 Feat: Keep connection status during generating agent by drag and drop … (#10141)
### What problem does this PR solve?

About issue #10140

In version 0.20.1, we implemented the generation of new node through
mouse drag and drop. If we could create a workflow module like in Coze,
where there is not only a dropdown menu but also an intermediate node
(placeholder node) after the drag and drop is completed, this could
improve the user experience.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-29 10:28:19 +08:00
0b759f559c Fix: invalid user can login from OSS (#10348)
### What problem does this PR solve?

An invalid user can log in from OSS
https://github.com/infiniflow/ragflow/issues/10293

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-29 10:16:31 +08:00
2d5d10ecbf Feat/admin drop user (#10342)
### What problem does this PR solve?

- Admin client support drop user.

Issue: #10241 

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-29 10:16:13 +08:00
954bd5a1c2 Fix: unexpected operation of file management (#10343)
### What problem does this PR solve?

Fix unexpected operation of file management.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-28 19:44:01 +08:00
ccb1c269e8 fix: Handling Null Values in SQL Execution Results (#10332)
### What problem does this PR solve?

Close #10324
The agent reported an error "undefined" after using the ExeSql tool.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

now:
<img width="641" height="687" alt="img"
src="https://github.com/user-attachments/assets/eb3bbd27-4cf8-42ce-939c-fc012a93efa0"
/>
2025-09-28 15:40:06 +08:00
6dfb0c245c Fix: The dataset uses the new id to obtain the knowledge graph #10333 (#10339)
### What problem does this PR solve?

Fix: The dataset uses the new id to obtain the knowledge graph #10333

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-28 15:39:49 +08:00
72d1047a8f Fix: update Japanese translations in ja.ts (#10338)
### What problem does this PR solve?

This PR addresses [issue
#9962](https://github.com/infiniflow/ragflow/issues/9962).
It updates the Japanese translations in `web/src/locales/ja.ts`.  

For this contribution, the scope is intentionally limited to **Chat**
and **Knowledge Base** related UI texts, ensuring focused and
incremental improvement without affecting other modules.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-28 15:39:05 +08:00
bece37e6c8 Fix: floating widget match style with original one (#10317)
### What problem does this PR solve?

These changes are intended to implement the remaining functionalities of
the fullscreen widget.

The question arises: how to display document prieview of PDFs in this
floating widget?
- simply enlarge the widget window
- implement zoom in/out
- render outside the iframe?

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-28 13:58:10 +08:00
59cb0eb8bc fix: remove ibm-db dependency and refactor import order (#10330)
### What problem does this PR solve?
issue: 
#10326
change:
 remove ibm-db dependency and refactor import order

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-28 12:19:32 +08:00
fc56217eb3 Fix: The enterprise version of the knowledge graph cannot be displayed. #10333 (#10334)
### What problem does this PR solve?
Fix: The enterprise version of the knowledge graph cannot be displayed.
#10333
### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-28 12:18:58 +08:00
723cf9443e Fix:After setting user's is_active to 0, the user can still log in to RAGFlow. (#10325)
### What problem does this PR solve?

https://github.com/infiniflow/ragflow/issues/10293

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-28 12:18:01 +08:00
bd94b5dfb5 feat: add IBM DB2 support (#10306)
### What problem does this PR solve?

issue:#5617
change:add IBM DB2 support in ExeSQL 

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-26 14:55:19 +08:00
ef59c5bab9 FIX: Rename the CometEmbed and CometSeq2txt classes to CometAPIEmbed and CometAPISeq2txt, and correct supported_models.mdx. (#10298)
### What problem does this PR solve?

Rename the CometEmbed and CometSeq2txt classes to CometAPIEmbed and
CometAPISeq2txt, and correct supported_models.mdx.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-26 10:50:56 +08:00
62b7c655c5 Refactor: migrate the function to specific file (#10201)
### What problem does this PR solve?

Move base64 related function to api/common/base64.py

### Type of change

- [x] Refactoring

---------

Signed-off-by: jinhai <haijin.chn@gmail.com>
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-09-25 23:37:50 +08:00
b0b866c8fd Refactor: move some functions out of api/utils/__init__.py (#10216)
### What problem does this PR solve?

Refactor import modules.

### Type of change

- [x] Refactoring

---------

Signed-off-by: jinhai <haijin.chn@gmail.com>
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2025-09-25 18:04:49 +08:00
3a831d0c28 Fixed the issue where database connections were interrupted under high concurrency (#10126)
### What problem does this PR solve?

Fixed the issue where database connections were interrupted under high
concurrency

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

---------

Co-authored-by: lemsn <lemsn@126.com>
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
2025-09-25 17:03:43 +08:00
9e323a9351 Feat(nlp): add "怎么办" pattern to question word removal (#10284)
### What problem does this PR solve?

Added "怎么办" to the regex pattern in rmWWW method to improve query
cleaning by removing this common question phrase along with other
question words.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-25 16:47:56 +08:00
7ac95b759b Feat/admin service (#10233)
### What problem does this PR solve?

- Admin client support show user and create user command.
- Admin client support alter user password and active status.
- Admin client support list user datasets.

issue: #10241

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-25 16:15:15 +08:00
daea357940 Fix: invalid COMPONENT_EXEC_TIMEOUT (#10278)
### What problem does this PR solve?

Fix invalid COMPONENT_EXEC_TIMEOUT. #10273

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-25 14:11:09 +08:00
4aa1abd8e5 Refactor: move encrypt/decrypt to one file (#10203)
### What problem does this PR solve?

Move base64 related function to api/common/base64.py

### Type of change

- [x] Refactoring

---------

Signed-off-by: jinhai <haijin.chn@gmail.com>
2025-09-25 12:53:03 +08:00
922b5c652d Refactor: fix typos (#10200)
### What problem does this PR solve?

1. Fix typos
2. Rename function
3. Use English to write comment

### Type of change

- [x] Refactoring

Signed-off-by: jinhai <haijin.chn@gmail.com>
2025-09-25 12:05:43 +08:00
aaa97874c6 fix: replace traceback.print_exc() with logging.exception(e) in conve… (#10275)
…rsation_app.py

### What problem does this PR solve?
issue:
#10188
change:
This PR replaces traceback.print_exc() with logging.exception(e) in
conversation_app.py to ensure that full error tracebacks are captured by
the logging system instead of being written only to stderr.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-25 11:45:44 +08:00
193d93d820 Refactor: Improve the logic clean conf for ZhipuChat (#10274)
### What problem does this PR solve?
Improve the logic clean conf for ZhipuChat

### Type of change
- [x] Refactoring
2025-09-25 10:28:03 +08:00
4058715df7 Docs: Knowledge base renamed to dataset. (#10269)
### What problem does this PR solve?

### Type of change

- [x] Documentation Update
2025-09-25 09:45:27 +08:00
3f595029d7 fix: Wrong Qwen models's ID (#10272)
### What problem does this PR solve?
fix: Wrong Qwen models's ID
[Bug]: ERROR: litellm.NotFoundError: DashscopeException - The model
Qwen/Qwen3-Omni-Flash does not exist or you do not have access to it.
change: delete wrong qwen model id

### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-25 09:43:44 +08:00
e8f5a4da56 add model: qwen3-max and qewn3-vl series (#10256)
### What problem does this PR solve?
qwen3-max and qewn3-vl series
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
2025-09-24 20:00:53 +08:00
a9472e3652 add Qwen models (#10263)
### What problem does this PR solve?

add Qwen models

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-24 16:52:12 +08:00
4dd48b60f3 Fix: Russian language config.ts (#10250)
### What problem does this PR solve?

Fix ru language

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-24 12:48:41 +08:00
e4ab8ba2de UI: Update Russian language ru.ts (#10251)
### What problem does this PR solve?

_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-24 12:48:13 +08:00
a1f848bfe0 Fix:max_tokens must be at least 1, got -950, BadRequestError (#10252)
### What problem does this PR solve?
https://github.com/infiniflow/ragflow/issues/10235

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring
2025-09-24 10:49:34 +08:00
f2309ff93e UI: Add Russian language (#10249)
Add Russian language

### What problem does this PR solve?

_Briefly describe what this PR aims to solve. Include background context
that will help reviewers understand the purpose of the PR._

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-24 10:18:47 +08:00
38be53cf31 fix: prevent list index out of range in chat streaming (#10238)
### What problem does this PR solve?
issue:
[Bug]: ERROR: list index out of range #10188
change:
fix a potential list index out of range error in chat response parsing
by adding explicit checks for empty choices.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-23 19:59:39 +08:00
65a06d62d8 Flow text processing bug (#10246)
### What problem does this PR solve?
@KevinHuSh 

Hello, my submission this morning did not fully resolve this issue.
After researching the knowledge, I have decided to delete the two lines
of regular expression processing that were added this morning.

```
remote 2 line
modify 1 line
```
I have mounted the following code in Docker compose and verified that it
will no longer report '\ m' errors

<img width="1050" height="447" alt="image"
src="https://github.com/user-attachments/assets/2aaf1b86-04ac-45ce-a2f1-052fed620e80"
/>

[my before pull](https://github.com/infiniflow/ragflow/pull/10211) 

<img width="1000" height="603" alt="image"
src="https://github.com/user-attachments/assets/fb3909ef-00ee-46c6-a26f-e64736777291"
/>

Thanks for your code Review

### Type of change

- [√ ] Bug Fix (non-breaking change which fixes an issue)

---------

Co-authored-by: mxc <mxc@example.com>
2025-09-23 19:59:13 +08:00
10cbbb76f8 revert gpt5 integration (#10228)
### What problem does this PR solve?

  Revert back to chat.completions.

### Type of change

- [ ] Bug Fix (non-breaking change which fixes an issue)
- [ ] New Feature (non-breaking change which adds functionality)
- [ ] Documentation Update
- [ ] Refactoring
- [ ] Performance Improvement
- [x] Other (please describe):
  Revert back to chat.completions.
2025-09-23 16:06:12 +08:00
1c84d1b562 Fix: azure OpenAI retry (#10213)
### What problem does this PR solve?

Currently, Azure OpenAI returns one minute Quota limit responses when
chat API is utilized. This change is needed in order to be able to
process almost any documents using models deployed in Azure Foundry.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-23 12:19:28 +08:00
4eb7659499 Fix bug: broken import from rag.prompts.prompts (#10217)
### What problem does this PR solve?

Fix broken imports

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

---------

Signed-off-by: jinhai <haijin.chn@gmail.com>
2025-09-23 10:19:25 +08:00
46a61e5aff Fix: string merge bug about agent TextProcessing. (\m) (#10211)
### What problem does this PR solve?
An error occurred while merging strings containing '\m' in the Text
Processing function of the agent.

Convert \ m to m using regular expressions

From my example alone, it doesn't affect the original meaning, it's
still math

<img width="1227" height="1056" alt="image"
src="https://github.com/user-attachments/assets/9306a8ca-bb97-47bf-b91f-77acfce49875"
/>


### Type of change

- [ √ ] Bug Fix (non-breaking change which fixes an issue)

Co-authored-by: mxc <mxc@example.com>
2025-09-23 10:16:11 +08:00
da82566304 Fix: resolve hash collisions by switching to UUID &correct logic for always-true statements & Update GPT api integration & Support qianwen-deepresearch (#10208)
### What problem does this PR solve?

Fix: resolve hash collisions by switching to UUID &correct logic for
always-true statements, solved: #10165
Feat: Update GPT api integration, solved: #10204 
Feat: Support qianwen-deepresearch, solved: #10163 
### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
2025-09-23 09:34:30 +08:00
c8b79dfed4 The retrieval component needs to support returning JSON data(#10170) (#10171)
### What problem does this PR solve?

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-22 17:28:29 +08:00
da80fa40bc fix python_api example (#10196)
### What problem does this PR solve?

Fix coding example in example

### Type of change

- [x] Documentation Update
2025-09-22 17:27:25 +08:00
94dbd4aac9 Refactor: use the same implement for total token count from res (#10197)
### What problem does this PR solve?
use the same implement for total token count from res

### Type of change

- [x] Refactoring
2025-09-22 17:17:06 +08:00
ca9f30e1a1 Add tree_merge for law parsers, significantly outperforming hierarchical_merge (#10202)
### What problem does this PR solve?
Add tree_merge for law parsers, significantly outperforming
hierarchical_merge, solved: #8637
1. Add tree_merge for law parsers, include build_tree and get_tree by
dfs.
2. add Copyright statement for helath_utils
### Type of change

- [x] Documentation Update
- [x] Performance Improvement
2025-09-22 16:33:21 +08:00
2e4295d5ca Chat Widget (#10187)
### What problem does this PR solve?

Add a chat widget. I'll probably need some assistance to get this ready
for merge!

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

Co-authored-by: Mohamed Mathari <nocodeventure@Mac-mini-van-Mohamed.fritz.box>
2025-09-22 11:03:33 +08:00
d11b1628a1 Feat: add admin CLI and admin service (#10186)
### What problem does this PR solve?

Introduce new feature: RAGFlow system admin service and CLI

### Introduction

Admin Service is a dedicated management component designed to monitor,
maintain, and administrate the RAGFlow system. It provides comprehensive
tools for ensuring system stability, performing operational tasks, and
managing users and permissions efficiently.

The service offers monitoring of critical components, including the
RAGFlow server, Task Executor processes, and dependent services such as
MySQL, Infinity / Elasticsearch, Redis, and MinIO. It automatically
checks their health status, resource usage, and uptime, and performs
restarts in case of failures to minimize downtime.

For user and system management, it supports listing, creating,
modifying, and deleting users and their associated resources like
knowledge bases and Agents.

Built with scalability and reliability in mind, the Admin Service
ensures smooth system operation and simplifies maintenance workflows.

It consists of a server-side Service and a command-line client (CLI),
both implemented in Python. User commands are parsed using the Lark
parsing toolkit.

- **Admin Service**: A backend service that interfaces with the RAGFlow
system to execute administrative operations and monitor its status.
- **Admin CLI**: A command-line interface that allows users to connect
to the Admin Service and issue commands for system management.

### Starting the Admin Service

1. Before start Admin Service, please make sure RAGFlow system is
already started.

2.  Run the service script:
    ```bash
    python admin/admin_server.py
    ```
The service will start and listen for incoming connections from the CLI
on the configured port.

### Using the Admin CLI

1.  Ensure the Admin Service is running.
2.  Launch the CLI client:
    ```bash
    python admin/admin_client.py -h 0.0.0.0 -p 9381
## Supported Commands
Commands are case-insensitive and must be terminated with a semicolon
(`;`).
### Service Management Commands
-  [x] `LIST SERVICES;`
    -   Lists all available services within the RAGFlow system.
-  [ ] `SHOW SERVICE <id>;`
- Shows detailed status information for the service identified by
`<id>`.
-  [ ] `STARTUP SERVICE <id>;`
    -   Attempts to start the service identified by `<id>`.
-  [ ] `SHUTDOWN SERVICE <id>;`
- Attempts to gracefully shut down the service identified by `<id>`.
-  [ ] `RESTART SERVICE <id>;`
    -   Attempts to restart the service identified by `<id>`.
### User Management Commands
-  [x] `LIST USERS;`
    -   Lists all users known to the system.
-  [ ] `SHOW USER '<username>';`
- Shows details and permissions for the specified user. The username
must be enclosed in single or double quotes.
-  [ ] `DROP USER '<username>';`
    -   Removes the specified user from the system. Use with caution.
-  [ ] `ALTER USER PASSWORD '<username>' '<new_password>';`
    -   Changes the password for the specified user.
### Data and Agent Commands
-  [ ] `LIST DATASETS OF '<username>';`
    -   Lists the datasets associated with the specified user.
-  [ ] `LIST AGENTS OF '<username>';`
    -   Lists the agents associated with the specified user.
### Meta-Commands
Meta-commands are prefixed with a backslash (`\`).
-   `\?` or `\help`
    -   Shows help information for the available commands.
-   `\q` or `\quit`
    -   Exits the CLI application.
## Examples
```commandline
admin> list users;
+-------------------------------+------------------------+-----------+-------------+
| create_date                   | email                  | is_active | nickname    |
+-------------------------------+------------------------+-----------+-------------+
| Fri, 22 Nov 2024 16:03:41 GMT | jeffery@infiniflow.org | 1         | Jeffery     |
| Fri, 22 Nov 2024 16:10:55 GMT | aya@infiniflow.org     | 1         | Waterdancer |
+-------------------------------+------------------------+-----------+-------------+
admin> list services;
+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+
| extra                                                                                     | host      | id | name          | port  | service_type   |
+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+
| {}                                                                                        | 0.0.0.0   | 0  | ragflow_0     | 9380  | ragflow_server |
| {'meta_type': 'mysql', 'password': 'infini_rag_flow', 'username': 'root'}                 | localhost | 1  | mysql         | 5455  | meta_data      |
| {'password': 'infini_rag_flow', 'store_type': 'minio', 'user': 'rag_flow'}                | localhost | 2  | minio         | 9000  | file_store     |
| {'password': 'infini_rag_flow', 'retrieval_type': 'elasticsearch', 'username': 'elastic'} | localhost | 3  | elasticsearch | 1200  | retrieval      |
| {'db_name': 'default_db', 'retrieval_type': 'infinity'}                                   | localhost | 4  | infinity      | 23817 | retrieval      |
| {'database': 1, 'mq_type': 'redis', 'password': 'infini_rag_flow'}                        | localhost | 5  | redis         | 6379  | message_queue  |
+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+
```

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

Signed-off-by: jinhai <haijin.chn@gmail.com>
2025-09-22 10:37:49 +08:00
45f9f428db Fix: enable scrolling at chat setting (#10184)
### What problem does this PR solve?

This PR is related to
[#9961](https://github.com/infiniflow/ragflow/issues/9961).
In the Chat Settings screen, the textarea did not support scrolling when
the content grew longer than its visible area, which made it less
convenient to use.
Also, there was no Japanese placeholder text to guide users on what to
enter in the field.

This PR improves the user experience by:
- Adding `overflow-y-auto` to the textarea so that long content can be
scrolled smoothly.
- Introducing a placeholder (`メッセージを入力してください...`) to provide clearer
guidance for users.


https://github.com/user-attachments/assets/95553331-087b-42c5-a41d-5dfe08047bae

### What has been considered

As an alternative solution, I explored replacing the textarea with the
existing `PromptEditor` component.
However, this approach triggered a `canvas not found.` alert.  
The current implementation of `PromptEditor` internally attempts to
fetch **agent (canvas) information**, but in the Chat Settings screen no
such ID exists. As a result, the API call fails and the backend returns
`canvas not found.`.

One possible workaround would be to extend `PromptEditor` with a
**“disable variable picker” flag**, ensuring that plugins are not loaded
in contexts like Chat Settings. While feasible, this would have a
broader impact across the codebase.

Given these considerations, I decided to address the issue in a simpler
way by applying a Tailwind utility (`overflow-y-auto`). Since the UI
design is expected to change in the future, this solution is considered
sufficient for now.
<img width="1501" height="794" alt="Screenshot 2025-09-20 at 15 00 12"
src="https://github.com/user-attachments/assets/85578ee8-489f-4ede-b3af-bafd7afe95bd"
/>


### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)  
- [ ] New Feature (non-breaking change which adds functionality)  
- [ ] Documentation Update  
- [ ] Refactoring  
- [ ] Performance Improvement  
- [ ] Other (please describe):
2025-09-22 10:37:34 +08:00
902703d145 Fix: skip tag query if tag kbs are invalid (#10168)
### What problem does this PR solve?

Skip `tag_query` step if `tag_kbs` are empty. 

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-19 19:12:18 +08:00
7ccca2143c perf: add get_all_kb_doc_count func to simplify kb.doc_num updating (#10169)
### What problem does this PR solve?

Add get_all_kb_doc_count func to simplify kb.doc_num updating.

### Type of change

- [x] Performance Improvement
2025-09-19 19:11:50 +08:00
70ce02faf4 Feat: add support for Anthropic third-party API (#10173)
### What problem does this PR solve?
issue:
[Bug]: anthropic model have not baseurl selecting,need add #8546
change:
This PR adds support for using Anthropic models through a third-party
API by allowing a custom base_url.
It ensures compatibility with both the official Anthropic endpoint and
external providers.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-19 19:06:14 +08:00
3f1741c8c6 Docs: How to accelerate question answering (#10179)
### What problem does this PR solve?


### Type of change

- [x] Documentation Update
2025-09-19 18:18:46 +08:00
6c24ad7966 fix: correct rerank_model condition logic (#10174)
### What problem does this PR solve?

fix the rerank_model condition logic by correcting the np.isclose check.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-19 16:02:10 +08:00
4846589599 Docs: Input and output variables defined in the Input and Output sections must also be implemented in your code. (#10162)
### What problem does this PR solve?
 
#10089 

### Type of change

- [x] Documentation Update
2025-09-19 11:35:58 +08:00
a24547aa66 Support server health check by http://localhost:<port>/v1/system/healthz (#10150)
### What problem does this PR solve?

Support server health check. Solved issue: #10106

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-19 11:11:07 +08:00
a04c5247ab Feat: Add file convert to document API just like file2document_app.py (#10158)
### What problem does this PR solve?

Add file convert to document API just like file2document_app.py

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-19 09:59:54 +08:00
ed6a76dcc0 Add Firecrawl integration for RAGFlow (#10152)
## 🚀 Firecrawl Integration for RAGFlow

This PR implements the Firecrawl integration for RAGFlow as requested in
issue https://github.com/firecrawl/firecrawl/issues/2167

###  Features Implemented

- **Data Source Integration**: Firecrawl appears as a selectable data
source in RAGFlow
- **Configuration Management**: Users can input Firecrawl API keys
through RAGFlow's interface
- **Web Scraping**: Supports single URL scraping, website crawling, and
batch processing
- **Content Processing**: Converts scraped content to RAGFlow's document
format with chunking
- **Error Handling**: Comprehensive error handling for rate limits,
failed requests, and malformed content
- **UI Components**: Complete UI schema and workflow components for
RAGFlow integration

### 📁 Files Added

- `intergrations/firecrawl/` - Complete integration package
- `intergrations/firecrawl/integration.py` - RAGFlow integration entry
point
- `intergrations/firecrawl/firecrawl_connector.py` - API communication
- `intergrations/firecrawl/firecrawl_config.py` - Configuration
management
- `intergrations/firecrawl/firecrawl_processor.py` - Content processing
- `intergrations/firecrawl/firecrawl_ui.py` - UI components
- `intergrations/firecrawl/ragflow_integration.py` - Main integration
class
- `intergrations/firecrawl/README.md` - Complete documentation
- `intergrations/firecrawl/example_usage.py` - Usage examples

### 🧪 Testing

The integration has been thoroughly tested with:
- Configuration validation
- Connection testing
- Content processing and chunking
- UI component rendering
- Error handling scenarios

### 📋 Acceptance Criteria Met

-  Integration appears as selectable data source in RAGFlow's data
source options
-  Users can input Firecrawl API keys through RAGFlow's configuration
interface
-  Successfully scrapes content from provided URLs and imports into
RAGFlow's document store
-  Handles common edge cases (rate limits, failed requests, malformed
content)
-  Includes basic documentation and README updates
-  Code follows RAGFlow's existing patterns and coding standards

### �� Related Issue

https://github.com/firecrawl/firecrawl/issues/2167

---------

Co-authored-by: AB <aj@Ajays-MacBook-Air.local>
2025-09-19 09:58:17 +08:00
a0ccbec8bd Fix: knowledge base's embedded model form layout and dependency imports in the main branch. #9869 (#10160)
### What problem does this PR solve?

Fix: Fixed the knowledge base's embedded model form layout and
dependency imports in the main branch.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-19 09:57:21 +08:00
4693c5382a Feat: migrate OpenAI-compatible chats to LiteLLM (#10148)
### What problem does this PR solve?

Migrate OpenAI-compatible chats to LiteLLM.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-18 17:16:59 +08:00
ff3b4d0dcd Fix: Merge different types of models from the same manufacturer #10146 (#10157)
### What problem does this PR solve?

Fix: Merge different types of models from the same manufacturer #10146

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-18 17:15:54 +08:00
62d35b1b73 Fix: handle zero (#10149)
### What problem does this PR solve?

Handle zero and nan in calculate.
#10125

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-18 16:28:03 +08:00
91b609447d Fix: embedding model failure in CometAPI (#10137)
### What problem does this PR solve?

Related PR:
Feat: add CometAPI to LLMFactory and update related mappings #10119 

Change:
Fixes the issue where the embedding model in CometAPI was not being
called correctly

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)

---------

Co-authored-by: TensorNull <tensor.null@gmail.com>
2025-09-18 14:49:47 +08:00
c353840244 Feat: add support for KB document basic info (#10134)
### What problem does this PR solve?

Add support for KB document basic info

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-18 09:52:33 +08:00
f12b9fdcd4 Feat: add CometAPI to LLMFactory and update related mappings (#10119)
### Related issues
#10078

### What problem does this PR solve?
Integrate CometAPI provider.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
2025-09-18 09:51:29 +08:00
80ede65bbe Docs: Updated database types supported by the Execute SQL tool (#10113)
### What problem does this PR solve?

### Type of change

- [x] Documentation Update
2025-09-18 09:47:35 +08:00
52cf186028 Correct the text of vectorSimilarityWeight in zh.ts (#10128)
### What problem does this PR solve?

The original text for vectorSimilarityWeight in Chinese version was
"相似度相似度权重," which is obviously a malformed phrase. It has now been
changed to "向量相似度权重". Also, align it with the English version 'Vector
similarity weight'.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-18 09:46:54 +08:00
ea0f1d47a5 Support image recognition for url links in Markdown file, fix log error in code_exec (#10139)
### What problem does this PR solve?

Support image recognition with image links in markdown files, solved
issue: #8755
Fixed log info error in code_exec, solved issue: #10064

### Type of change (8755)

- [x] New Feature (non-breaking change which adds functionality)

### Type of change (10064)

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-18 09:44:17 +08:00
9fe7c92217 Build(deps): Bump axios from 1.9.0 to 1.12.0 in /sandbox/sandbox_base_image/nodejs (#10091)
Bumps [axios](https://github.com/axios/axios) from 1.9.0 to 1.12.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/axios/axios/releases">axios's
releases</a>.</em></p>
<blockquote>
<h2>Release v1.12.0</h2>
<h2>Release notes:</h2>
<h3>Bug Fixes</h3>
<ul>
<li>adding build artifacts (<a
href="9ec86de257">9ec86de</a>)</li>
<li>dont add dist on release (<a
href="a2edc3606a">a2edc36</a>)</li>
<li><strong>fetch-adapter:</strong> set correct Content-Type for Node
FormData (<a
href="https://redirect.github.com/axios/axios/issues/6998">#6998</a>)
(<a
href="a9f47afbf3">a9f47af</a>)</li>
<li><strong>node:</strong> enforce maxContentLength for data: URLs (<a
href="https://redirect.github.com/axios/axios/issues/7011">#7011</a>)
(<a
href="945435fc51">945435f</a>)</li>
<li>package exports (<a
href="https://redirect.github.com/axios/axios/issues/5627">#5627</a>)
(<a
href="aa78ac23fc">aa78ac2</a>)</li>
<li><strong>params:</strong> removing '[' and ']' from URL encode
exclude characters (<a
href="https://redirect.github.com/axios/axios/issues/3316">#3316</a>)
(<a
href="https://redirect.github.com/axios/axios/issues/5715">#5715</a>)
(<a
href="6d84189349">6d84189</a>)</li>
<li>release pr run (<a
href="fd7f404488">fd7f404</a>)</li>
<li><strong>types:</strong> change the type guard on isCancel (<a
href="https://redirect.github.com/axios/axios/issues/5595">#5595</a>)
(<a
href="0dbb7fd4f6">0dbb7fd</a>)</li>
</ul>
<h3>Features</h3>
<ul>
<li><strong>adapter:</strong> surface low‑level network error details;
attach original error via cause (<a
href="https://redirect.github.com/axios/axios/issues/6982">#6982</a>)
(<a
href="78b290c57c">78b290c</a>)</li>
<li><strong>fetch:</strong> add fetch, Request, Response env config
variables for the adapter; (<a
href="https://redirect.github.com/axios/axios/issues/7003">#7003</a>)
(<a
href="c959ff2901">c959ff2</a>)</li>
<li>support reviver on JSON.parse (<a
href="https://redirect.github.com/axios/axios/issues/5926">#5926</a>)
(<a
href="2a9763426e">2a97634</a>),
closes <a
href="https://redirect.github.com/axios/axios/issues/5924">#5924</a></li>
<li><strong>types:</strong> extend AxiosResponse interface to include
custom headers type (<a
href="https://redirect.github.com/axios/axios/issues/6782">#6782</a>)
(<a
href="7960d34ede">7960d34</a>)</li>
</ul>
<h3>Contributors to this release</h3>
<ul>
<li><!-- raw HTML omitted --> <a
href="https://github.com/WillianAgostini" title="+132/-16760
([#7002](https://github.com/axios/axios/issues/7002)
[#5926](https://github.com/axios/axios/issues/5926)
[#6782](https://github.com/axios/axios/issues/6782) )">Willian
Agostini</a></li>
<li><!-- raw HTML omitted --> <a
href="https://github.com/DigitalBrainJS" title="+4263/-293
([#7006](https://github.com/axios/axios/issues/7006)
[#7003](https://github.com/axios/axios/issues/7003) )">Dmitriy
Mozgovoy</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/mkhani01"
title="+111/-15 ([#6982](https://github.com/axios/axios/issues/6982)
)">khani</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/AmeerAssadi"
title="+123/-0 ([#7011](https://github.com/axios/axios/issues/7011)
)">Ameer Assadi</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/emiedonmokumo"
title="+55/-35 ([#6998](https://github.com/axios/axios/issues/6998)
)">Emiedonmokumo Dick-Boro</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/opsysdebug"
title="+8/-8 ([#6980](https://github.com/axios/axios/issues/6980)
)">Zeroday BYTE</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/jasonsaayman"
title="+7/-7 ([#6985](https://github.com/axios/axios/issues/6985)
[#6985](https://github.com/axios/axios/issues/6985) )">Jason
Saayman</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/HealGaren"
title="+5/-7 ([#5715](https://github.com/axios/axios/issues/5715)
)">최예찬</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/gligorkot"
title="+3/-1 ([#5627](https://github.com/axios/axios/issues/5627)
)">Gligor Kotushevski</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/adimit"
title="+2/-1 ([#5595](https://github.com/axios/axios/issues/5595)
)">Aleksandar Dimitrov</a></li>
</ul>
<h2>Release v1.11.0</h2>
<h2>Release notes:</h2>
<h3>Bug Fixes</h3>
<ul>
<li>form-data npm pakcage (<a
href="https://redirect.github.com/axios/axios/issues/6970">#6970</a>)
(<a
href="e72c193722">e72c193</a>)</li>
<li>prevent RangeError when using large Buffers (<a
href="https://redirect.github.com/axios/axios/issues/6961">#6961</a>)
(<a
href="a2214ca1bc">a2214ca</a>)</li>
<li><strong>types:</strong> resolve type discrepancies between ESM and
CJS TypeScript declaration files (<a
href="https://redirect.github.com/axios/axios/issues/6956">#6956</a>)
(<a
href="8517aa16f8">8517aa1</a>)</li>
</ul>
<h3>Contributors to this release</h3>
<ul>
<li><!-- raw HTML omitted --> <a href="https://github.com/izzygld"
title="+186/-93 ([#6970](https://github.com/axios/axios/issues/6970)
)">izzy goldman</a></li>
<li><!-- raw HTML omitted --> <a
href="https://github.com/manishsahanidev" title="+70/-0
([#6961](https://github.com/axios/axios/issues/6961) )">Manish
Sahani</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/noritaka1166"
title="+12/-10 ([#6938](https://github.com/axios/axios/issues/6938)
[#6939](https://github.com/axios/axios/issues/6939) )">Noritaka
Kobayashi</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/jrnail23"
title="+13/-2 ([#6956](https://github.com/axios/axios/issues/6956)
)">James Nail</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/Tejaswi1305"
title="+1/-1 ([#6894](https://github.com/axios/axios/issues/6894)
)">Tejaswi1305</a></li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/axios/axios/blob/v1.x/CHANGELOG.md">axios's
changelog</a>.</em></p>
<blockquote>
<h1><a
href="https://github.com/axios/axios/compare/v1.11.0...v1.12.0">1.12.0</a>
(2025-09-11)</h1>
<h3>Bug Fixes</h3>
<ul>
<li>adding build artifacts (<a
href="9ec86de257">9ec86de</a>)</li>
<li>dont add dist on release (<a
href="a2edc3606a">a2edc36</a>)</li>
<li><strong>fetch-adapter:</strong> set correct Content-Type for Node
FormData (<a
href="https://redirect.github.com/axios/axios/issues/6998">#6998</a>)
(<a
href="a9f47afbf3">a9f47af</a>)</li>
<li><strong>node:</strong> enforce maxContentLength for data: URLs (<a
href="https://redirect.github.com/axios/axios/issues/7011">#7011</a>)
(<a
href="945435fc51">945435f</a>)</li>
<li>package exports (<a
href="https://redirect.github.com/axios/axios/issues/5627">#5627</a>)
(<a
href="aa78ac23fc">aa78ac2</a>)</li>
<li><strong>params:</strong> removing '[' and ']' from URL encode
exclude characters (<a
href="https://redirect.github.com/axios/axios/issues/3316">#3316</a>)
(<a
href="https://redirect.github.com/axios/axios/issues/5715">#5715</a>)
(<a
href="6d84189349">6d84189</a>)</li>
<li>release pr run (<a
href="fd7f404488">fd7f404</a>)</li>
<li><strong>types:</strong> change the type guard on isCancel (<a
href="https://redirect.github.com/axios/axios/issues/5595">#5595</a>)
(<a
href="0dbb7fd4f6">0dbb7fd</a>)</li>
</ul>
<h3>Features</h3>
<ul>
<li><strong>adapter:</strong> surface low‑level network error details;
attach original error via cause (<a
href="https://redirect.github.com/axios/axios/issues/6982">#6982</a>)
(<a
href="78b290c57c">78b290c</a>)</li>
<li><strong>fetch:</strong> add fetch, Request, Response env config
variables for the adapter; (<a
href="https://redirect.github.com/axios/axios/issues/7003">#7003</a>)
(<a
href="c959ff2901">c959ff2</a>)</li>
<li>support reviver on JSON.parse (<a
href="https://redirect.github.com/axios/axios/issues/5926">#5926</a>)
(<a
href="2a9763426e">2a97634</a>),
closes <a
href="https://redirect.github.com/axios/axios/issues/5924">#5924</a></li>
<li><strong>types:</strong> extend AxiosResponse interface to include
custom headers type (<a
href="https://redirect.github.com/axios/axios/issues/6782">#6782</a>)
(<a
href="7960d34ede">7960d34</a>)</li>
</ul>
<h3>Contributors to this release</h3>
<ul>
<li><!-- raw HTML omitted --> <a
href="https://github.com/WillianAgostini" title="+132/-16760
([#7002](https://github.com/axios/axios/issues/7002)
[#5926](https://github.com/axios/axios/issues/5926)
[#6782](https://github.com/axios/axios/issues/6782) )">Willian
Agostini</a></li>
<li><!-- raw HTML omitted --> <a
href="https://github.com/DigitalBrainJS" title="+4263/-293
([#7006](https://github.com/axios/axios/issues/7006)
[#7003](https://github.com/axios/axios/issues/7003) )">Dmitriy
Mozgovoy</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/mkhani01"
title="+111/-15 ([#6982](https://github.com/axios/axios/issues/6982)
)">khani</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/AmeerAssadi"
title="+123/-0 ([#7011](https://github.com/axios/axios/issues/7011)
)">Ameer Assadi</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/emiedonmokumo"
title="+55/-35 ([#6998](https://github.com/axios/axios/issues/6998)
)">Emiedonmokumo Dick-Boro</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/opsysdebug"
title="+8/-8 ([#6980](https://github.com/axios/axios/issues/6980)
)">Zeroday BYTE</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/jasonsaayman"
title="+7/-7 ([#6985](https://github.com/axios/axios/issues/6985)
[#6985](https://github.com/axios/axios/issues/6985) )">Jason
Saayman</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/HealGaren"
title="+5/-7 ([#5715](https://github.com/axios/axios/issues/5715)
)">최예찬</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/gligorkot"
title="+3/-1 ([#5627](https://github.com/axios/axios/issues/5627)
)">Gligor Kotushevski</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/adimit"
title="+2/-1 ([#5595](https://github.com/axios/axios/issues/5595)
)">Aleksandar Dimitrov</a></li>
</ul>
<h1><a
href="https://github.com/axios/axios/compare/v1.10.0...v1.11.0">1.11.0</a>
(2025-07-22)</h1>
<h3>Bug Fixes</h3>
<ul>
<li>form-data npm pakcage (<a
href="https://redirect.github.com/axios/axios/issues/6970">#6970</a>)
(<a
href="e72c193722">e72c193</a>)</li>
<li>prevent RangeError when using large Buffers (<a
href="https://redirect.github.com/axios/axios/issues/6961">#6961</a>)
(<a
href="a2214ca1bc">a2214ca</a>)</li>
<li><strong>types:</strong> resolve type discrepancies between ESM and
CJS TypeScript declaration files (<a
href="https://redirect.github.com/axios/axios/issues/6956">#6956</a>)
(<a
href="8517aa16f8">8517aa1</a>)</li>
</ul>
<h3>Contributors to this release</h3>
<ul>
<li><!-- raw HTML omitted --> <a href="https://github.com/izzygld"
title="+186/-93 ([#6970](https://github.com/axios/axios/issues/6970)
)">izzy goldman</a></li>
<li><!-- raw HTML omitted --> <a
href="https://github.com/manishsahanidev" title="+70/-0
([#6961](https://github.com/axios/axios/issues/6961) )">Manish
Sahani</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/noritaka1166"
title="+12/-10 ([#6938](https://github.com/axios/axios/issues/6938)
[#6939](https://github.com/axios/axios/issues/6939) )">Noritaka
Kobayashi</a></li>
<li><!-- raw HTML omitted --> <a href="https://github.com/jrnail23"
title="+13/-2 ([#6956](https://github.com/axios/axios/issues/6956)
)">James Nail</a></li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="0d8ad6e1de"><code>0d8ad6e</code></a>
chore(release): v1.12.0 (<a
href="https://redirect.github.com/axios/axios/issues/7013">#7013</a>)</li>
<li><a
href="fd7f404488"><code>fd7f404</code></a>
fix: release pr run</li>
<li><a
href="a2edc3606a"><code>a2edc36</code></a>
fix: dont add dist on release</li>
<li><a
href="9ec86de257"><code>9ec86de</code></a>
fix: adding build artifacts</li>
<li><a
href="945435fc51"><code>945435f</code></a>
fix(node): enforce maxContentLength for data: URLs (<a
href="https://redirect.github.com/axios/axios/issues/7011">#7011</a>)</li>
<li><a
href="28e5e3016d"><code>28e5e30</code></a>
chore(sponsor): update sponsor block (<a
href="https://redirect.github.com/axios/axios/issues/7005">#7005</a>)</li>
<li><a
href="d03f245a40"><code>d03f245</code></a>
chore(CI): fixed release info script to use npm registry instead of git
as fi...</li>
<li><a
href="a0bc911379"><code>a0bc911</code></a>
chore: removing dist files from src (<a
href="https://redirect.github.com/axios/axios/issues/7002">#7002</a>)</li>
<li><a
href="c959ff2901"><code>c959ff2</code></a>
feat(fetch): add fetch, Request, Response env config variables for the
adapte...</li>
<li><a
href="a9f47afbf3"><code>a9f47af</code></a>
fix(fetch-adapter): set correct Content-Type for Node FormData (<a
href="https://redirect.github.com/axios/axios/issues/6998">#6998</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/axios/axios/compare/v1.9.0...v1.12.0">compare
view</a></li>
</ul>
</details>
<br />


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2025-09-18 09:41:24 +08:00
d353f7f7f8 Feat/parse audio (#10133)
### What problem does this PR solve?

Dataflow support audio.  And fix giteeAI's sequence2text model. 

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
2025-09-18 09:31:32 +08:00
f3738b06f1 Fixes session_id passing in agent_openai completion. (#10124)
### What problem does this PR solve?

An exception happens if you give session_id to agent_open_ai completion.
Because session_id is being given as well as **req so it tries to send
session_id twice. But also the logic seemed odd on picking one of
session_id, id, metadata.id. So cleaned it up a little.

See #10111 

### Type of change

- [X] Bug Fix (non-breaking change which fixes an issue)
2025-09-17 17:54:06 +08:00
5a8bc88147 Docs: Removed /v1 from Ollama base URLs (#10067)
### What problem does this PR solve?


### Type of change

- [x] Documentation Update
2025-09-17 13:48:29 +08:00
04ef5b2783 Fix: usage of postgresql -> postgres for db_type (#10120)
### What problem does this PR solve?

This PR fixes incorrect naming for PostgreSQL usage by replacing all
instances of `postgresql` with the correct `postgres` in the `db_type`
field. This resolves potential configuration errors and ensures
consistency when specifying the database type.

Also fixed handling of None for `get_queue_length`

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

Co-authored-by: cucusenok <BP-116: updated readme.md>
2025-09-17 10:30:45 +08:00
c9ea22ef69 Fix: set default chunk_token_num in html_parser (#10118)
### What problem does this PR solve?

issue:
[Bug]: Agent component (HTTP Request) "'>' not supported between
instances of 'int' and 'NoneType'"
[#10096](https://github.com/infiniflow/ragflow/issues/10096)

Change:
When the Invoke class instantiates HtmlParser without providing the
chunk_token_num parameter, the value defaults to None, leading to a
comparison error with block_token_count.

This change sets the default chunk_token_num to 512 to prevent such
errors.
### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

Co-authored-by: BadwomanCraZY <511528396@qq.com>
2025-09-17 09:36:31 +08:00
152111fd9d Feat/parse img (#10112)
### What problem does this PR solve?

support parse image by OCR or VLM.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-16 17:53:37 +08:00
86f6da2f74 Feat: add support for the Ascend table structure recognizer (#10110)
### What problem does this PR solve?

Add support for the Ascend table structure recognizer.

Use the environment variable `TABLE_STRUCTURE_RECOGNIZER_TYPE=ascend` to
enable the Ascend table structure recognizer.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-16 13:57:06 +08:00
8c00cbc87a Fix(agent template): wrap template variables in curly braces (#10109)
### What problem does this PR solve?

Updated SQL assistant template to wrap variables like 'sys.query' and
'Agent:WickedGoatsDivide@content' in curly braces for better template
variable syntax consistency.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-16 13:56:56 +08:00
41e808f4e6 Docs: Added an Execute SQL tool reference (#10108)
### What problem does this PR solve?


### Type of change


- [x] Documentation Update
2025-09-16 11:39:56 +08:00
bc0281040b Feat: add support for the Ascend layout recognizer (#10105)
### What problem does this PR solve?

Supports Ascend layout recognizer.

Use the environment variable `LAYOUT_RECOGNIZER_TYPE=ascend` to enable
the Ascend layout recognizer, and `ASCEND_LAYOUT_RECOGNIZER_DEVICE_ID=n`
(for example, n=0) to specify the Ascend device ID.

Ensure that you have installed the [ais
tools](https://gitee.com/ascend/tools/tree/master/ais-bench_workload/tool/ais_bench)
properly.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-16 09:51:15 +08:00
341a7b1473 Fix: judge not empty before delete (#10099)
### What problem does this PR solve?

judge not empty before delete session.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-15 17:49:52 +08:00
c29c395390 Fix: The same model appears twice in the drop-down box. #10102 (#10103)
### What problem does this PR solve?

Fix: The same model appears twice in the drop-down box. #10102

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-15 16:38:08 +08:00
a23a0f230c feat: add multiple docker tags (latest, latest_full, latest_slim) to … (#10040)
…release workflow (#10039)  
This change updates the GitHub Actions workflow to push additional
stable tags alongside version tags, enabling automated update tools like
Watchtower to detect and pull the latest images correctly.
Refs:
[https://github.com/infiniflow/ragflow/issues/10039](https://github.com/infiniflow/ragflow/issues/10039)

### What problem does this PR solve?  
Automated container update tools such as Watchtower rely on stable tags
like `latest` to identify the newest images. Previously, only
version-specific tags were pushed, which prevented these tools from
detecting new releases automatically. This PR adds multiple stable tags
(`latest-full`, `latest-slim`) alongside version tags to the Docker
image publishing workflow, ensuring smooth and reliable automated
updates without manual tag management.

### Type of change  
- [ ] Bug Fix (non-breaking change which fixes an issue)  
- [x] New Feature (non-breaking change which adds functionality)  
- [ ] Documentation Update  
- [ ] Refactoring  
- [ ] Performance Improvement  
- [ ] Other (please describe):

---------

Co-authored-by: Zhichang Yu <yuzhichang@gmail.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2025-09-13 21:44:53 +08:00
2a88ce6be1 Fix: terminate onnx inference session manually (#10076)
### What problem does this PR solve?

terminate onnx inference session and release memory manually.

Issue #5050 
Issue #9992 
Issue #8805

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-12 17:18:26 +08:00
664b781d62 Feat: Translate the fields of the embedded dialog box on the agent page #3221 (#10072)
### What problem does this PR solve?

Feat: Translate the fields of the embedded dialog box on the agent page
#3221
### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-12 16:01:12 +08:00
65571e5254 Feat: dataflow supports text (#10058)
### What problem does this PR solve?

dataflow supports text.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-11 19:03:51 +08:00
aa30f20730 Feat: Agent component support inserting variables(#10048) (#10055)
### What problem does this PR solve?

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-11 19:03:19 +08:00
b9b278d441 Docs: How to connect to an MCP server as a client (#10043)
### What problem does this PR solve?

#9769 

### Type of change


- [x] Documentation Update
2025-09-11 19:02:50 +08:00
e1d86cfee3 Feat: add TokenPony model provider (#9932)
### What problem does this PR solve?

Add TokenPony as a LLM provider

Co-authored-by: huangzl <huangzl@shinemo.com>
2025-09-11 17:25:31 +08:00
8ebd07337f The chat dialog box cannot be fully displayed on a small screen #10034 (#10049)
### What problem does this PR solve?

The chat dialog box cannot be fully displayed on a small screen #10034

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-11 13:32:23 +08:00
dd584d57b0 Fix: Hide dataflow related functions #9869 (#10045)
### What problem does this PR solve?

Fix: Hide dataflow related functions #9869

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-11 12:02:26 +08:00
3d39b96c6f Fix: token num exceed (#10046)
### What problem does this PR solve?

fix text input exceed token num limit when using siliconflow's embedding
model BAAI/bge-large-zh-v1.5 and BAAI/bge-large-en-v1.5, truncate before
input.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-11 12:02:12 +08:00
179091b1a4 Fix: In ragflow/rag/app /naive.py, if there are multiple images in one line, the other images will be lost (#9968)
### What problem does this PR solve?
https://github.com/infiniflow/ragflow/issues/9966

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

---------

Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
2025-09-11 11:08:31 +08:00
d14d92a900 Feat: Translate the parser operator #9869 (#10037)
### What problem does this PR solve?

Feat: Translate the parser operator #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-11 11:07:26 +08:00
1936ad82d2 Refactor:Improve BytesIO usage for GeminiCV (#10042)
### What problem does this PR solve?
Improve BytesIO usage for GeminiCV

### Type of change
- [x] Refactoring
2025-09-11 11:07:15 +08:00
8a09f07186 feat: Added UI functions related to data-flow knowledge base #3221 (#10038)
### What problem does this PR solve?

feat: Added UI functions related to data-flow knowledge base #3221

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-11 09:51:18 +08:00
df8d31451b Feat: Import dsl from agent list page #9869 (#10033)
### What problem does this PR solve?

Feat: Import dsl from agent list page #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-10 18:22:16 +08:00
fc95d113c3 Feat(config): Update service config template new defaults (#10029)
### What problem does this PR solve?

- Update default LLM configuration with BAAI and model details #9404
- Add SMTP configuration section #9479
- Add OpenDAL storage configuration option #8232

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-10 16:39:26 +08:00
7d14455fbe Feat: Add type card to create agent dialog #9869 (#10025)
### What problem does this PR solve?

Feat: Add type card to create agent dialog #9869
### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-10 15:56:10 +08:00
bbe6ed3b90 Fix: Fixed the issue where newly added tool operators would disappear after editing the form #10013 (#10016)
### What problem does this PR solve?

Fix: Fixed the issue where newly added tool operators would disappear
after editing the form #10013

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-10 15:55:59 +08:00
127af4e45c Refactor:Improve BytesIO usage for image2base64 (#9997)
### What problem does this PR solve?

Improve BytesIO usage for image2base64

### Type of change

- [x] Refactoring
2025-09-10 15:55:33 +08:00
41cdba19ba Feat: dataflow supports markdown (#10003)
### What problem does this PR solve?

Dataflow supports markdown.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

---------

Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
2025-09-10 13:31:02 +08:00
0d9c1f1c3c Feat: dataflow supports Spreadsheet and Word processor document (#9996)
### What problem does this PR solve?

Dataflow supports Spreadsheet and Word processor document

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-10 13:02:53 +08:00
994 changed files with 44920 additions and 41014 deletions

View File

@ -25,7 +25,7 @@ jobs:
- name: Check out code
uses: actions/checkout@v4
with:
token: ${{ secrets.MY_GITHUB_TOKEN }} # Use the secret as an environment variable
token: ${{ secrets.GITHUB_TOKEN }} # Use the secret as an environment variable
fetch-depth: 0
fetch-tags: true
@ -69,7 +69,7 @@ jobs:
# https://github.com/actions/upload-release-asset has been replaced by https://github.com/softprops/action-gh-release
uses: softprops/action-gh-release@v2
with:
token: ${{ secrets.MY_GITHUB_TOKEN }} # Use the secret as an environment variable
token: ${{ secrets.GITHUB_TOKEN }} # Use the secret as an environment variable
prerelease: ${{ env.PRERELEASE }}
tag_name: ${{ env.RELEASE_TAG }}
# The body field does not support environment variable substitution directly.
@ -88,7 +88,9 @@ jobs:
with:
context: .
push: true
tags: infiniflow/ragflow:${{ env.RELEASE_TAG }}
tags: |
infiniflow/ragflow:${{ env.RELEASE_TAG }}
infiniflow/ragflow:latest-full
file: Dockerfile
platforms: linux/amd64
@ -98,7 +100,9 @@ jobs:
with:
context: .
push: true
tags: infiniflow/ragflow:${{ env.RELEASE_TAG }}-slim
tags: |
infiniflow/ragflow:${{ env.RELEASE_TAG }}-slim
infiniflow/ragflow:latest-slim
file: Dockerfile
build-args: LIGHTEN=1
platforms: linux/amd64
@ -116,3 +120,17 @@ jobs:
packages-dir: sdk/python/dist/
password: ${{ secrets.PYPI_API_TOKEN }}
verbose: true
- name: Build ragflow-cli
if: startsWith(github.ref, 'refs/tags/v')
run: |
cd admin/client && \
uv build
- name: Publish client package distributions to PyPI
if: startsWith(github.ref, 'refs/tags/v')
uses: pypa/gh-action-pypi-publish@release/v1
with:
packages-dir: admin/client/dist/
password: ${{ secrets.PYPI_API_TOKEN }}
verbose: true

View File

@ -34,12 +34,10 @@ jobs:
# https://github.com/hmarr/debug-action
#- uses: hmarr/debug-action@v2
- name: Show who triggered this workflow
- name: Ensure workspace ownership
run: |
echo "Workflow triggered by ${{ github.event_name }}"
- name: Ensure workspace ownership
run: echo "chown -R $USER $GITHUB_WORKSPACE" && sudo chown -R $USER $GITHUB_WORKSPACE
echo "chown -R $USER $GITHUB_WORKSPACE" && sudo chown -R $USER $GITHUB_WORKSPACE
# https://github.com/actions/checkout/issues/1781
- name: Check out code
@ -48,6 +46,44 @@ jobs:
fetch-depth: 0
fetch-tags: true
- name: Check workflow duplication
if: ${{ !cancelled() && !failure() && (github.event_name != 'pull_request' || contains(github.event.pull_request.labels.*.name, 'ci')) }}
run: |
if [[ ${{ github.event_name }} != 'pull_request' ]]; then
HEAD=$(git rev-parse HEAD)
# Find a PR that introduced a given commit
gh auth login --with-token <<< "${{ secrets.GITHUB_TOKEN }}"
PR_NUMBER=$(gh pr list --search ${HEAD} --state merged --json number --jq .[0].number)
echo "HEAD=${HEAD}"
echo "PR_NUMBER=${PR_NUMBER}"
if [[ -n ${PR_NUMBER} ]]; then
PR_SHA_FP=${RUNNER_WORKSPACE_PREFIX}/artifacts/${GITHUB_REPOSITORY}/PR_${PR_NUMBER}
if [[ -f ${PR_SHA_FP} ]]; then
read -r PR_SHA PR_RUN_ID < "${PR_SHA_FP}"
# Calculate the hash of the current workspace content
HEAD_SHA=$(git rev-parse HEAD^{tree})
if [[ ${HEAD_SHA} == ${PR_SHA} ]]; then
echo "Cancel myself since the workspace content hash is the same with PR #${PR_NUMBER} merged. See ${GITHUB_SERVER_URL}/${GITHUB_REPOSITORY}/actions/runs/${PR_RUN_ID} for details."
gh run cancel ${GITHUB_RUN_ID}
while true; do
status=$(gh run view ${GITHUB_RUN_ID} --json status -q .status)
[ "$status" = "completed" ] && break
sleep 5
done
exit 1
fi
fi
fi
else
PR_NUMBER=${{ github.event.pull_request.number }}
PR_SHA_FP=${RUNNER_WORKSPACE_PREFIX}/artifacts/${GITHUB_REPOSITORY}/PR_${PR_NUMBER}
# Calculate the hash of the current workspace content
PR_SHA=$(git rev-parse HEAD^{tree})
echo "PR #${PR_NUMBER} workspace content hash: ${PR_SHA}"
mkdir -p ${RUNNER_WORKSPACE_PREFIX}/artifacts/${GITHUB_REPOSITORY}
echo "${PR_SHA} ${GITHUB_RUN_ID}" > ${PR_SHA_FP}
fi
# https://github.com/astral-sh/ruff-action
- name: Static check with Ruff
uses: astral-sh/ruff-action@v3
@ -59,11 +95,11 @@ jobs:
run: |
RUNNER_WORKSPACE_PREFIX=${RUNNER_WORKSPACE_PREFIX:-$HOME}
sudo docker pull ubuntu:22.04
sudo docker build --progress=plain --build-arg LIGHTEN=1 --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
sudo DOCKER_BUILDKIT=1 docker build --build-arg LIGHTEN=1 --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
- name: Build ragflow:nightly
run: |
sudo docker build --progress=plain --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:nightly .
sudo DOCKER_BUILDKIT=1 docker build --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:nightly .
- name: Start ragflow:nightly-slim
run: |

2
.gitignore vendored
View File

@ -149,7 +149,7 @@ out
# Nuxt.js build / generate output
.nuxt
dist
ragflow_cli.egg-info
# Gatsby files
.cache/
# Comment in the public line in if your project uses Gatsby and not Next.js

View File

@ -191,6 +191,7 @@ ENV PATH="${VIRTUAL_ENV}/bin:${PATH}"
ENV PYTHONPATH=/ragflow/
COPY web web
COPY admin admin
COPY api api
COPY conf conf
COPY deepdoc deepdoc

View File

@ -1,6 +1,6 @@
<div align="center">
<a href="https://demo.ragflow.io/">
<img src="web/src/assets/logo-with-text.png" width="520" alt="ragflow logo">
<img src="web/src/assets/logo-with-text.svg" width="520" alt="ragflow logo">
</a>
</div>
@ -22,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.20.5">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.21.1">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@ -84,8 +84,8 @@ Try our demo at [https://demo.ragflow.io](https://demo.ragflow.io).
## 🔥 Latest Updates
- 2025-10-15 Supports orchestrable ingestion pipeline.
- 2025-08-08 Supports OpenAI's latest GPT-5 series models.
- 2025-08-04 Supports new models, including Kimi K2 and Grok 4.
- 2025-08-01 Supports agentic workflow and MCP.
- 2025-05-23 Adds a Python/JavaScript code executor component to Agent.
- 2025-05-05 Supports cross-language query.
@ -135,7 +135,7 @@ releases! 🌟
## 🔎 System Architecture
<div align="center" style="margin-top:20px;margin-bottom:20px;">
<img src="https://github.com/infiniflow/ragflow/assets/12318111/d6ac5664-c237-4200-a7c2-a4a00691b485" width="1000"/>
<img src="https://github.com/user-attachments/assets/31b0dd6f-ca4f-445a-9457-70cb44a381b2" width="1000"/>
</div>
## 🎬 Get Started
@ -187,7 +187,7 @@ releases! 🌟
> All Docker images are built for x86 platforms. We don't currently offer Docker images for ARM64.
> If you are on an ARM64 platform, follow [this guide](https://ragflow.io/docs/dev/build_docker_image) to build a Docker image compatible with your system.
> The command below downloads the `v0.20.5-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.20.5-slim`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server. For example: set `RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.5` for the full edition `v0.20.5`.
> The command below downloads the `v0.21.1-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.21.1-slim`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server. For example: set `RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1` for the full edition `v0.21.1`.
```bash
$ cd ragflow/docker
@ -200,8 +200,8 @@ releases! 🌟
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
|-------------------|-----------------|-----------------------|--------------------------|
| v0.20.5 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.20.5-slim | &approx;2 | ❌ | Stable release |
| v0.21.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.21.1-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |
@ -341,11 +341,13 @@ docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly
5. If your operating system does not have jemalloc, please install it as follows:
```bash
# ubuntu
# Ubuntu
sudo apt-get install libjemalloc-dev
# centos
# CentOS
sudo yum install jemalloc
# mac
# OpenSUSE
sudo zypper install jemalloc
# macOS
sudo brew install jemalloc
```

View File

@ -1,6 +1,6 @@
<div align="center">
<a href="https://demo.ragflow.io/">
<img src="web/src/assets/logo-with-text.png" width="520" alt="Logo ragflow">
<img src="web/src/assets/logo-with-text.svg" width="520" alt="Logo ragflow">
</a>
</div>
@ -22,7 +22,7 @@
<img alt="Lencana Daring" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.20.5">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.21.1">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Rilis%20Terbaru" alt="Rilis Terbaru">
@ -80,8 +80,8 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
## 🔥 Pembaruan Terbaru
- 2025-10-15 Dukungan untuk jalur data yang terorkestrasi.
- 2025-08-08 Mendukung model seri GPT-5 terbaru dari OpenAI.
- 2025-08-04 Mendukung model baru, termasuk Kimi K2 dan Grok 4.
- 2025-08-01 Mendukung alur kerja agen dan MCP.
- 2025-05-23 Menambahkan komponen pelaksana kode Python/JS ke Agen.
- 2025-05-05 Mendukung kueri lintas bahasa.
@ -129,7 +129,7 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
## 🔎 Arsitektur Sistem
<div align="center" style="margin-top:20px;margin-bottom:20px;">
<img src="https://github.com/infiniflow/ragflow/assets/12318111/d6ac5664-c237-4200-a7c2-a4a00691b485" width="1000"/>
<img src="https://github.com/user-attachments/assets/31b0dd6f-ca4f-445a-9457-70cb44a381b2" width="1000"/>
</div>
## 🎬 Mulai
@ -181,7 +181,7 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
> Semua gambar Docker dibangun untuk platform x86. Saat ini, kami tidak menawarkan gambar Docker untuk ARM64.
> Jika Anda menggunakan platform ARM64, [silakan gunakan panduan ini untuk membangun gambar Docker yang kompatibel dengan sistem Anda](https://ragflow.io/docs/dev/build_docker_image).
> Perintah di bawah ini mengunduh edisi v0.20.5-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.20.5-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.5 untuk edisi lengkap v0.20.5.
> Perintah di bawah ini mengunduh edisi v0.21.1-slim dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.21.1-slim, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server. Misalnya, atur RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1 untuk edisi lengkap v0.21.1.
```bash
$ cd ragflow/docker
@ -194,8 +194,8 @@ $ docker compose -f docker-compose.yml up -d
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.20.5 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.20.5-slim | &approx;2 | ❌ | Stable release |
| v0.21.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.21.1-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

View File

@ -1,6 +1,6 @@
<div align="center">
<a href="https://demo.ragflow.io/">
<img src="web/src/assets/logo-with-text.png" width="350" alt="ragflow logo">
<img src="web/src/assets/logo-with-text.svg" width="350" alt="ragflow logo">
</a>
</div>
@ -22,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.20.5">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.21.1">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@ -60,8 +60,8 @@
## 🔥 最新情報
- 2025-10-15 オーケストレーションされたデータパイプラインのサポート。
- 2025-08-08 OpenAI の最新 GPT-5 シリーズモデルをサポートします。
- 2025-08-04 新モデル、キミK2およびGrok 4をサポート。
- 2025-08-01 エージェントワークフローとMCPをサポート。
- 2025-05-23 エージェントに Python/JS コードエグゼキュータコンポーネントを追加しました。
- 2025-05-05 言語間クエリをサポートしました。
@ -109,7 +109,7 @@
## 🔎 システム構成
<div align="center" style="margin-top:20px;margin-bottom:20px;">
<img src="https://github.com/infiniflow/ragflow/assets/12318111/d6ac5664-c237-4200-a7c2-a4a00691b485" width="1000"/>
<img src="https://github.com/user-attachments/assets/31b0dd6f-ca4f-445a-9457-70cb44a381b2" width="1000"/>
</div>
## 🎬 初期設定
@ -160,7 +160,7 @@
> 現在、公式に提供されているすべての Docker イメージは x86 アーキテクチャ向けにビルドされており、ARM64 用の Docker イメージは提供されていません。
> ARM64 アーキテクチャのオペレーティングシステムを使用している場合は、[このドキュメント](https://ragflow.io/docs/dev/build_docker_image)を参照して Docker イメージを自分でビルドしてください。
> 以下のコマンドは、RAGFlow Docker イメージの v0.20.5-slim エディションをダウンロードします。異なる RAGFlow エディションの説明については、以下の表を参照してください。v0.20.5-slim とは異なるエディションをダウンロードするには、docker/.env ファイルの RAGFLOW_IMAGE 変数を適宜更新し、docker compose を使用してサーバーを起動してください。例えば、完全版 v0.20.5 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.5 と設定します。
> 以下のコマンドは、RAGFlow Docker イメージの v0.21.1-slim エディションをダウンロードします。異なる RAGFlow エディションの説明については、以下の表を参照してください。v0.21.1-slim とは異なるエディションをダウンロードするには、docker/.env ファイルの RAGFLOW_IMAGE 変数を適宜更新し、docker compose を使用してサーバーを起動してください。例えば、完全版 v0.21.1 をダウンロードするには、RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1 と設定します。
```bash
$ cd ragflow/docker
@ -173,8 +173,8 @@
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.20.5 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.20.5-slim | &approx;2 | ❌ | Stable release |
| v0.21.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.21.1-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

View File

@ -1,6 +1,6 @@
<div align="center">
<a href="https://demo.ragflow.io/">
<img src="web/src/assets/logo-with-text.png" width="520" alt="ragflow logo">
<img src="web/src/assets/logo-with-text.svg" width="520" alt="ragflow logo">
</a>
</div>
@ -22,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.20.5">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.21.1">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@ -60,8 +60,8 @@
## 🔥 업데이트
- 2025-10-15 조정된 데이터 파이프라인 지원.
- 2025-08-08 OpenAI의 최신 GPT-5 시리즈 모델을 지원합니다.
- 2025-08-04 새로운 모델인 Kimi K2와 Grok 4를 포함하여 지원합니다.
- 2025-08-01 에이전트 워크플로우와 MCP를 지원합니다.
- 2025-05-23 Agent에 Python/JS 코드 실행기 구성 요소를 추가합니다.
- 2025-05-05 언어 간 쿼리를 지원합니다.
@ -109,7 +109,7 @@
## 🔎 시스템 아키텍처
<div align="center" style="margin-top:20px;margin-bottom:20px;">
<img src="https://github.com/infiniflow/ragflow/assets/12318111/d6ac5664-c237-4200-a7c2-a4a00691b485" width="1000"/>
<img src="https://github.com/user-attachments/assets/31b0dd6f-ca4f-445a-9457-70cb44a381b2" width="1000"/>
</div>
## 🎬 시작하기
@ -160,7 +160,7 @@
> 모든 Docker 이미지는 x86 플랫폼을 위해 빌드되었습니다. 우리는 현재 ARM64 플랫폼을 위한 Docker 이미지를 제공하지 않습니다.
> ARM64 플랫폼을 사용 중이라면, [시스템과 호환되는 Docker 이미지를 빌드하려면 이 가이드를 사용해 주세요](https://ragflow.io/docs/dev/build_docker_image).
> 아래 명령어는 RAGFlow Docker 이미지의 v0.20.5-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.20.5-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.20.5을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.5로 설정합니다.
> 아래 명령어는 RAGFlow Docker 이미지의 v0.21.1-slim 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.21.1-slim과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오. 예를 들어, 전체 버전인 v0.21.1을 다운로드하려면 RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1로 설정합니다.
```bash
$ cd ragflow/docker
@ -173,8 +173,8 @@
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.20.5 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.20.5-slim | &approx;2 | ❌ | Stable release |
| v0.21.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.21.1-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

View File

@ -1,6 +1,6 @@
<div align="center">
<a href="https://demo.ragflow.io/">
<img src="web/src/assets/logo-with-text.png" width="520" alt="ragflow logo">
<img src="web/src/assets/logo-with-text.svg" width="520" alt="ragflow logo">
</a>
</div>
@ -22,7 +22,7 @@
<img alt="Badge Estático" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.20.5">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.21.1">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Última%20Relese" alt="Última Versão">
@ -80,8 +80,8 @@ Experimente nossa demo em [https://demo.ragflow.io](https://demo.ragflow.io).
## 🔥 Últimas Atualizações
- 10-15-2025 Suporte para pipelines de dados orquestrados.
- 08-08-2025 Suporta a mais recente série GPT-5 da OpenAI.
- 04-08-2025 Suporta novos modelos, incluindo Kimi K2 e Grok 4.
- 01-08-2025 Suporta fluxo de trabalho agente e MCP.
- 23-05-2025 Adicione o componente executor de código Python/JS ao Agente.
- 05-05-2025 Suporte a consultas entre idiomas.
@ -129,7 +129,7 @@ Experimente nossa demo em [https://demo.ragflow.io](https://demo.ragflow.io).
## 🔎 Arquitetura do Sistema
<div align="center" style="margin-top:20px;margin-bottom:20px;">
<img src="https://github.com/infiniflow/ragflow/assets/12318111/d6ac5664-c237-4200-a7c2-a4a00691b485" width="1000"/>
<img src="https://github.com/user-attachments/assets/31b0dd6f-ca4f-445a-9457-70cb44a381b2" width="1000"/>
</div>
## 🎬 Primeiros Passos
@ -180,7 +180,7 @@ Experimente nossa demo em [https://demo.ragflow.io](https://demo.ragflow.io).
> Todas as imagens Docker são construídas para plataformas x86. Atualmente, não oferecemos imagens Docker para ARM64.
> Se você estiver usando uma plataforma ARM64, por favor, utilize [este guia](https://ragflow.io/docs/dev/build_docker_image) para construir uma imagem Docker compatível com o seu sistema.
> O comando abaixo baixa a edição `v0.20.5-slim` da imagem Docker do RAGFlow. Consulte a tabela a seguir para descrições de diferentes edições do RAGFlow. Para baixar uma edição do RAGFlow diferente da `v0.20.5-slim`, atualize a variável `RAGFLOW_IMAGE` conforme necessário no **docker/.env** antes de usar `docker compose` para iniciar o servidor. Por exemplo: defina `RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.5` para a edição completa `v0.20.5`.
> O comando abaixo baixa a edição `v0.21.1-slim` da imagem Docker do RAGFlow. Consulte a tabela a seguir para descrições de diferentes edições do RAGFlow. Para baixar uma edição do RAGFlow diferente da `v0.21.1-slim`, atualize a variável `RAGFLOW_IMAGE` conforme necessário no **docker/.env** antes de usar `docker compose` para iniciar o servidor. Por exemplo: defina `RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1` para a edição completa `v0.21.1`.
```bash
$ cd ragflow/docker
@ -193,8 +193,8 @@ Experimente nossa demo em [https://demo.ragflow.io](https://demo.ragflow.io).
| Tag da imagem RAGFlow | Tamanho da imagem (GB) | Possui modelos de incorporação? | Estável? |
| --------------------- | ---------------------- | ------------------------------- | ------------------------ |
| v0.20.5 | ~9 | :heavy_check_mark: | Lançamento estável |
| v0.20.5-slim | ~2 | ❌ | Lançamento estável |
| v0.21.1 | ~9 | :heavy_check_mark: | Lançamento estável |
| v0.21.1-slim | ~2 | ❌ | Lançamento estável |
| nightly | ~9 | :heavy_check_mark: | _Instável_ build noturno |
| nightly-slim | ~2 | ❌ | _Instável_ build noturno |

View File

@ -1,6 +1,6 @@
<div align="center">
<a href="https://demo.ragflow.io/">
<img src="web/src/assets/logo-with-text.png" width="350" alt="ragflow logo">
<img src="web/src/assets/logo-with-text.svg" width="350" alt="ragflow logo">
</a>
</div>
@ -22,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.20.5">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.21.1">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@ -83,8 +83,8 @@
## 🔥 近期更新
- 2025-10-15 支援可編排的資料管道。
- 2025-08-08 支援 OpenAI 最新的 GPT-5 系列模型。
- 2025-08-04 支援 Kimi K2 和 Grok 4 等模型.
- 2025-08-01 支援 agentic workflow 和 MCP
- 2025-05-23 為 Agent 新增 Python/JS 程式碼執行器元件。
- 2025-05-05 支援跨語言查詢。
@ -132,7 +132,7 @@
## 🔎 系統架構
<div align="center" style="margin-top:20px;margin-bottom:20px;">
<img src="https://github.com/infiniflow/ragflow/assets/12318111/d6ac5664-c237-4200-a7c2-a4a00691b485" width="1000"/>
<img src="https://github.com/user-attachments/assets/31b0dd6f-ca4f-445a-9457-70cb44a381b2" width="1000"/>
</div>
## 🎬 快速開始
@ -183,7 +183,7 @@
> 所有 Docker 映像檔都是為 x86 平台建置的。目前,我們不提供 ARM64 平台的 Docker 映像檔。
> 如果您使用的是 ARM64 平台,請使用 [這份指南](https://ragflow.io/docs/dev/build_docker_image) 來建置適合您系統的 Docker 映像檔。
> 執行以下指令會自動下載 RAGFlow slim Docker 映像 `v0.20.5-slim`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.20.5-slim` 的 Docker 映像,請在執行 `docker compose` 啟動服務之前先更新 **docker/.env** 檔案內的 `RAGFLOW_IMAGE` 變數。例如,你可以透過設定 `RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.5` 來下載 RAGFlow 鏡像的 `v0.20.5` 完整發行版。
> 執行以下指令會自動下載 RAGFlow slim Docker 映像 `v0.21.1-slim`。請參考下表查看不同 Docker 發行版的說明。如需下載不同於 `v0.21.1-slim` 的 Docker 映像,請在執行 `docker compose` 啟動服務之前先更新 **docker/.env** 檔案內的 `RAGFLOW_IMAGE` 變數。例如,你可以透過設定 `RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1` 來下載 RAGFlow 鏡像的 `v0.21.1` 完整發行版。
```bash
$ cd ragflow/docker
@ -196,8 +196,8 @@
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.20.5 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.20.5-slim | &approx;2 | ❌ | Stable release |
| v0.21.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.21.1-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

View File

@ -1,6 +1,6 @@
<div align="center">
<a href="https://demo.ragflow.io/">
<img src="web/src/assets/logo-with-text.png" width="350" alt="ragflow logo">
<img src="web/src/assets/logo-with-text.svg" width="350" alt="ragflow logo">
</a>
</div>
@ -22,7 +22,7 @@
<img alt="Static Badge" src="https://img.shields.io/badge/Online-Demo-4e6b99">
</a>
<a href="https://hub.docker.com/r/infiniflow/ragflow" target="_blank">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.20.5">
<img src="https://img.shields.io/docker/pulls/infiniflow/ragflow?label=Docker%20Pulls&color=0db7ed&logo=docker&logoColor=white&style=flat-square" alt="docker pull infiniflow/ragflow:v0.21.1">
</a>
<a href="https://github.com/infiniflow/ragflow/releases/latest">
<img src="https://img.shields.io/github/v/release/infiniflow/ragflow?color=blue&label=Latest%20Release" alt="Latest Release">
@ -83,8 +83,8 @@
## 🔥 近期更新
- 2025-08-08 支持 OpenAI 最新的 GPT-5 系列模型.
- 2025-08-04 新增对 Kimi K2 和 Grok 4 等模型的支持.
- 2025-10-15 支持可编排的数据管道。
- 2025-08-08 支持 OpenAI 最新的 GPT-5 系列模型。
- 2025-08-01 支持 agentic workflow 和 MCP。
- 2025-05-23 Agent 新增 Python/JS 代码执行器组件。
- 2025-05-05 支持跨语言查询。
@ -132,7 +132,7 @@
## 🔎 系统架构
<div align="center" style="margin-top:20px;margin-bottom:20px;">
<img src="https://github.com/infiniflow/ragflow/assets/12318111/d6ac5664-c237-4200-a7c2-a4a00691b485" width="1000"/>
<img src="https://github.com/user-attachments/assets/31b0dd6f-ca4f-445a-9457-70cb44a381b2" width="1000"/>
</div>
## 🎬 快速开始
@ -183,7 +183,7 @@
> 请注意,目前官方提供的所有 Docker 镜像均基于 x86 架构构建,并不提供基于 ARM64 的 Docker 镜像。
> 如果你的操作系统是 ARM64 架构,请参考[这篇文档](https://ragflow.io/docs/dev/build_docker_image)自行构建 Docker 镜像。
> 运行以下命令会自动下载 RAGFlow slim Docker 镜像 `v0.20.5-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.20.5-slim` 的 Docker 镜像,请在运行 `docker compose` 启动服务之前先更新 **docker/.env** 文件内的 `RAGFLOW_IMAGE` 变量。比如,你可以通过设置 `RAGFLOW_IMAGE=infiniflow/ragflow:v0.20.5` 来下载 RAGFlow 镜像的 `v0.20.5` 完整发行版。
> 运行以下命令会自动下载 RAGFlow slim Docker 镜像 `v0.21.1-slim`。请参考下表查看不同 Docker 发行版的描述。如需下载不同于 `v0.21.1-slim` 的 Docker 镜像,请在运行 `docker compose` 启动服务之前先更新 **docker/.env** 文件内的 `RAGFLOW_IMAGE` 变量。比如,你可以通过设置 `RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1` 来下载 RAGFlow 镜像的 `v0.21.1` 完整发行版。
```bash
$ cd ragflow/docker
@ -196,8 +196,8 @@
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.20.5 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.20.5-slim | &approx;2 | ❌ | Stable release |
| v0.21.1 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.21.1-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |

47
admin/build_cli_release.sh Executable file
View File

@ -0,0 +1,47 @@
#!/bin/bash
set -e
echo "🚀 Start building..."
echo "================================"
PROJECT_NAME="ragflow-cli"
RELEASE_DIR="release"
BUILD_DIR="dist"
SOURCE_DIR="src"
PACKAGE_DIR="ragflow_cli"
echo "🧹 Clean old build folder..."
rm -rf release/
echo "📁 Prepare source code..."
mkdir release/$PROJECT_NAME/$SOURCE_DIR -p
cp pyproject.toml release/$PROJECT_NAME/pyproject.toml
cp README.md release/$PROJECT_NAME/README.md
mkdir release/$PROJECT_NAME/$SOURCE_DIR/$PACKAGE_DIR -p
cp admin_client.py release/$PROJECT_NAME/$SOURCE_DIR/$PACKAGE_DIR/admin_client.py
if [ -d "release/$PROJECT_NAME/$SOURCE_DIR" ]; then
echo "✅ source dir: release/$PROJECT_NAME/$SOURCE_DIR"
else
echo "❌ source dir not exist: release/$PROJECT_NAME/$SOURCE_DIR"
exit 1
fi
echo "🔨 Make build file..."
cd release/$PROJECT_NAME
export PYTHONPATH=$(pwd)
python -m build
echo "✅ check build result..."
if [ -d "$BUILD_DIR" ]; then
echo "📦 Package generated:"
ls -la $BUILD_DIR/
else
echo "❌ Build Failed: $BUILD_DIR not exist."
exit 1
fi
echo "🎉 Build finished successfully!"

136
admin/client/README.md Normal file
View File

@ -0,0 +1,136 @@
# RAGFlow Admin Service & CLI
### Introduction
Admin Service is a dedicated management component designed to monitor, maintain, and administrate the RAGFlow system. It provides comprehensive tools for ensuring system stability, performing operational tasks, and managing users and permissions efficiently.
The service offers real-time monitoring of critical components, including the RAGFlow server, Task Executor processes, and dependent services such as MySQL, Elasticsearch, Redis, and MinIO. It automatically checks their health status, resource usage, and uptime, and performs restarts in case of failures to minimize downtime.
For user and system management, it supports listing, creating, modifying, and deleting users and their associated resources like knowledge bases and Agents.
Built with scalability and reliability in mind, the Admin Service ensures smooth system operation and simplifies maintenance workflows.
It consists of a server-side Service and a command-line client (CLI), both implemented in Python. User commands are parsed using the Lark parsing toolkit.
- **Admin Service**: A backend service that interfaces with the RAGFlow system to execute administrative operations and monitor its status.
- **Admin CLI**: A command-line interface that allows users to connect to the Admin Service and issue commands for system management.
### Starting the Admin Service
#### Launching from source code
1. Before start Admin Service, please make sure RAGFlow system is already started.
2. Launch from source code:
```bash
python admin/server/admin_server.py
```
The service will start and listen for incoming connections from the CLI on the configured port.
#### Using docker image
1. Before startup, please configure the `docker_compose.yml` file to enable admin server:
```bash
command:
- --enable-adminserver
```
2. Start the containers, the service will start and listen for incoming connections from the CLI on the configured port.
### Using the Admin CLI
1. Ensure the Admin Service is running.
2. Install ragflow-cli.
```bash
pip install ragflow-cli==0.21.1
```
3. Launch the CLI client:
```bash
ragflow-cli -h 127.0.0.1 -p 9381
```
You will be prompted to enter the superuser's password to log in.
The default password is admin.
**Parameters:**
- -h: RAGFlow admin server host address
- -p: RAGFlow admin server port
## Supported Commands
Commands are case-insensitive and must be terminated with a semicolon (`;`).
### Service Management Commands
- `LIST SERVICES;`
- Lists all available services within the RAGFlow system.
- `SHOW SERVICE <id>;`
- Shows detailed status information for the service identified by `<id>`.
### User Management Commands
- `LIST USERS;`
- Lists all users known to the system.
- `SHOW USER '<username>';`
- Shows details and permissions for the specified user. The username must be enclosed in single or double quotes.
- `CREATE USER <username> <password>;`
- Create user by username and password. The username and password must be enclosed in single or double quotes.
- `DROP USER '<username>';`
- Removes the specified user from the system. Use with caution.
- `ALTER USER PASSWORD '<username>' '<new_password>';`
- Changes the password for the specified user.
- `ALTER USER ACTIVE <username> <on/off>;`
- Changes the user to active or inactive.
### Data and Agent Commands
- `LIST DATASETS OF '<username>';`
- Lists the datasets associated with the specified user.
- `LIST AGENTS OF '<username>';`
- Lists the agents associated with the specified user.
### Meta-Commands
Meta-commands are prefixed with a backslash (`\`).
- `\?` or `\help`
- Shows help information for the available commands.
- `\q` or `\quit`
- Exits the CLI application.
## Examples
```commandline
admin> list users;
+-------------------------------+------------------------+-----------+-------------+
| create_date | email | is_active | nickname |
+-------------------------------+------------------------+-----------+-------------+
| Fri, 22 Nov 2024 16:03:41 GMT | jeffery@infiniflow.org | 1 | Jeffery |
| Fri, 22 Nov 2024 16:10:55 GMT | aya@infiniflow.org | 1 | Waterdancer |
+-------------------------------+------------------------+-----------+-------------+
admin> list services;
+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+
| extra | host | id | name | port | service_type |
+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+
| {} | 0.0.0.0 | 0 | ragflow_0 | 9380 | ragflow_server |
| {'meta_type': 'mysql', 'password': 'infini_rag_flow', 'username': 'root'} | localhost | 1 | mysql | 5455 | meta_data |
| {'password': 'infini_rag_flow', 'store_type': 'minio', 'user': 'rag_flow'} | localhost | 2 | minio | 9000 | file_store |
| {'password': 'infini_rag_flow', 'retrieval_type': 'elasticsearch', 'username': 'elastic'} | localhost | 3 | elasticsearch | 1200 | retrieval |
| {'db_name': 'default_db', 'retrieval_type': 'infinity'} | localhost | 4 | infinity | 23817 | retrieval |
| {'database': 1, 'mq_type': 'redis', 'password': 'infini_rag_flow'} | localhost | 5 | redis | 6379 | message_queue |
+-------------------------------------------------------------------------------------------+-----------+----+---------------+-------+----------------+
```

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@ -0,0 +1,931 @@
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import argparse
import base64
from cmd import Cmd
from Cryptodome.PublicKey import RSA
from Cryptodome.Cipher import PKCS1_v1_5 as Cipher_pkcs1_v1_5
from typing import Dict, List, Any
from lark import Lark, Transformer, Tree
import requests
GRAMMAR = r"""
start: command
command: sql_command | meta_command
sql_command: list_services
| show_service
| startup_service
| shutdown_service
| restart_service
| list_users
| show_user
| drop_user
| alter_user
| create_user
| activate_user
| list_datasets
| list_agents
| create_role
| drop_role
| alter_role
| list_roles
| show_role
| grant_permission
| revoke_permission
| alter_user_role
| show_user_permission
// meta command definition
meta_command: "\\" meta_command_name [meta_args]
meta_command_name: /[a-zA-Z?]+/
meta_args: (meta_arg)+
meta_arg: /[^\\s"']+/ | quoted_string
// command definition
LIST: "LIST"i
SERVICES: "SERVICES"i
SHOW: "SHOW"i
CREATE: "CREATE"i
SERVICE: "SERVICE"i
SHUTDOWN: "SHUTDOWN"i
STARTUP: "STARTUP"i
RESTART: "RESTART"i
USERS: "USERS"i
DROP: "DROP"i
USER: "USER"i
ALTER: "ALTER"i
ACTIVE: "ACTIVE"i
PASSWORD: "PASSWORD"i
DATASETS: "DATASETS"i
OF: "OF"i
AGENTS: "AGENTS"i
ROLE: "ROLE"i
ROLES: "ROLES"i
DESCRIPTION: "DESCRIPTION"i
GRANT: "GRANT"i
REVOKE: "REVOKE"i
ALL: "ALL"i
PERMISSION: "PERMISSION"i
TO: "TO"i
FROM: "FROM"i
FOR: "FOR"i
RESOURCES: "RESOURCES"i
ON: "ON"i
SET: "SET"i
list_services: LIST SERVICES ";"
show_service: SHOW SERVICE NUMBER ";"
startup_service: STARTUP SERVICE NUMBER ";"
shutdown_service: SHUTDOWN SERVICE NUMBER ";"
restart_service: RESTART SERVICE NUMBER ";"
list_users: LIST USERS ";"
drop_user: DROP USER quoted_string ";"
alter_user: ALTER USER PASSWORD quoted_string quoted_string ";"
show_user: SHOW USER quoted_string ";"
create_user: CREATE USER quoted_string quoted_string ";"
activate_user: ALTER USER ACTIVE quoted_string status ";"
list_datasets: LIST DATASETS OF quoted_string ";"
list_agents: LIST AGENTS OF quoted_string ";"
create_role: CREATE ROLE identifier [DESCRIPTION quoted_string] ";"
drop_role: DROP ROLE identifier ";"
alter_role: ALTER ROLE identifier SET DESCRIPTION quoted_string ";"
list_roles: LIST ROLES ";"
show_role: SHOW ROLE identifier ";"
grant_permission: GRANT action_list ON identifier TO ROLE identifier ";"
revoke_permission: REVOKE action_list ON identifier FROM ROLE identifier ";"
alter_user_role: ALTER USER quoted_string SET ROLE identifier ";"
show_user_permission: SHOW USER PERMISSION quoted_string ";"
action_list: identifier ("," identifier)*
identifier: WORD
quoted_string: QUOTED_STRING
status: WORD
QUOTED_STRING: /'[^']+'/ | /"[^"]+"/
WORD: /[a-zA-Z0-9_\-\.]+/
NUMBER: /[0-9]+/
%import common.WS
%ignore WS
"""
class AdminTransformer(Transformer):
def start(self, items):
return items[0]
def command(self, items):
return items[0]
def list_services(self, items):
result = {'type': 'list_services'}
return result
def show_service(self, items):
service_id = int(items[2])
return {"type": "show_service", "number": service_id}
def startup_service(self, items):
service_id = int(items[2])
return {"type": "startup_service", "number": service_id}
def shutdown_service(self, items):
service_id = int(items[2])
return {"type": "shutdown_service", "number": service_id}
def restart_service(self, items):
service_id = int(items[2])
return {"type": "restart_service", "number": service_id}
def list_users(self, items):
return {"type": "list_users"}
def show_user(self, items):
user_name = items[2]
return {"type": "show_user", "user_name": user_name}
def drop_user(self, items):
user_name = items[2]
return {"type": "drop_user", "user_name": user_name}
def alter_user(self, items):
user_name = items[3]
new_password = items[4]
return {"type": "alter_user", "user_name": user_name, "password": new_password}
def create_user(self, items):
user_name = items[2]
password = items[3]
return {"type": "create_user", "user_name": user_name, "password": password, "role": "user"}
def activate_user(self, items):
user_name = items[3]
activate_status = items[4]
return {"type": "activate_user", "activate_status": activate_status, "user_name": user_name}
def list_datasets(self, items):
user_name = items[3]
return {"type": "list_datasets", "user_name": user_name}
def list_agents(self, items):
user_name = items[3]
return {"type": "list_agents", "user_name": user_name}
def create_role(self, items):
role_name = items[2]
if len(items) > 4:
description = items[4]
return {"type": "create_role", "role_name": role_name, "description": description}
else:
return {"type": "create_role", "role_name": role_name}
def drop_role(self, items):
role_name = items[2]
return {"type": "drop_role", "role_name": role_name}
def alter_role(self, items):
role_name = items[2]
description = items[5]
return {"type": "alter_role", "role_name": role_name, "description": description}
def list_roles(self, items):
return {"type": "list_roles"}
def show_role(self, items):
role_name = items[2]
return {"type": "show_role", "role_name": role_name}
def grant_permission(self, items):
action_list = items[1]
resource = items[3]
role_name = items[6]
return {"type": "grant_permission", "role_name": role_name, "resource": resource, "actions": action_list}
def revoke_permission(self, items):
action_list = items[1]
resource = items[3]
role_name = items[6]
return {
"type": "revoke_permission",
"role_name": role_name,
"resource": resource, "actions": action_list
}
def alter_user_role(self, items):
user_name = items[2]
role_name = items[5]
return {"type": "alter_user_role", "user_name": user_name, "role_name": role_name}
def show_user_permission(self, items):
user_name = items[3]
return {"type": "show_user_permission", "user_name": user_name}
def action_list(self, items):
return items
def meta_command(self, items):
command_name = str(items[0]).lower()
args = items[1:] if len(items) > 1 else []
# handle quoted parameter
parsed_args = []
for arg in args:
if hasattr(arg, 'value'):
parsed_args.append(arg.value)
else:
parsed_args.append(str(arg))
return {'type': 'meta', 'command': command_name, 'args': parsed_args}
def meta_command_name(self, items):
return items[0]
def meta_args(self, items):
return items
def encrypt(input_string):
pub = '-----BEGIN PUBLIC KEY-----\nMIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEArq9XTUSeYr2+N1h3Afl/z8Dse/2yD0ZGrKwx+EEEcdsBLca9Ynmx3nIB5obmLlSfmskLpBo0UACBmB5rEjBp2Q2f3AG3Hjd4B+gNCG6BDaawuDlgANIhGnaTLrIqWrrcm4EMzJOnAOI1fgzJRsOOUEfaS318Eq9OVO3apEyCCt0lOQK6PuksduOjVxtltDav+guVAA068NrPYmRNabVKRNLJpL8w4D44sfth5RvZ3q9t+6RTArpEtc5sh5ChzvqPOzKGMXW83C95TxmXqpbK6olN4RevSfVjEAgCydH6HN6OhtOQEcnrU97r9H0iZOWwbw3pVrZiUkuRD1R56Wzs2wIDAQAB\n-----END PUBLIC KEY-----'
pub_key = RSA.importKey(pub)
cipher = Cipher_pkcs1_v1_5.new(pub_key)
cipher_text = cipher.encrypt(base64.b64encode(input_string.encode('utf-8')))
return base64.b64encode(cipher_text).decode("utf-8")
def encode_to_base64(input_string):
base64_encoded = base64.b64encode(input_string.encode('utf-8'))
return base64_encoded.decode('utf-8')
class AdminCLI(Cmd):
def __init__(self):
super().__init__()
self.parser = Lark(GRAMMAR, start='start', parser='lalr', transformer=AdminTransformer())
self.command_history = []
self.is_interactive = False
self.admin_account = "admin@ragflow.io"
self.admin_password: str = "admin"
self.session = requests.Session()
self.access_token: str = ""
self.host: str = ""
self.port: int = 0
intro = r"""Type "\h" for help."""
prompt = "admin> "
def onecmd(self, command: str) -> bool:
try:
result = self.parse_command(command)
if isinstance(result, dict):
if 'type' in result and result.get('type') == 'empty':
return False
self.execute_command(result)
if isinstance(result, Tree):
return False
if result.get('type') == 'meta' and result.get('command') in ['q', 'quit', 'exit']:
return True
except KeyboardInterrupt:
print("\nUse '\\q' to quit")
except EOFError:
print("\nGoodbye!")
return True
return False
def emptyline(self) -> bool:
return False
def default(self, line: str) -> bool:
return self.onecmd(line)
def parse_command(self, command_str: str) -> dict[str, str]:
if not command_str.strip():
return {'type': 'empty'}
self.command_history.append(command_str)
try:
result = self.parser.parse(command_str)
return result
except Exception as e:
return {'type': 'error', 'message': f'Parse error: {str(e)}'}
def verify_admin(self, arguments: dict, single_command: bool):
self.host = arguments['host']
self.port = arguments['port']
print(f"Attempt to access ip: {self.host}, port: {self.port}")
url = f"http://{self.host}:{self.port}/api/v1/admin/login"
attempt_count = 3
if single_command:
attempt_count = 1
try_count = 0
while True:
try_count += 1
if try_count > attempt_count:
return False
if single_command:
admin_passwd = arguments['password']
else:
admin_passwd = input(f"password for {self.admin_account}: ").strip()
try:
self.admin_password = encrypt(admin_passwd)
response = self.session.post(url, json={'email': self.admin_account, 'password': self.admin_password})
if response.status_code == 200:
res_json = response.json()
error_code = res_json.get('code', -1)
if error_code == 0:
self.session.headers.update({
'Content-Type': 'application/json',
'Authorization': response.headers['Authorization'],
'User-Agent': 'RAGFlow-CLI/0.21.1'
})
print("Authentication successful.")
return True
else:
error_message = res_json.get('message', 'Unknown error')
print(f"Authentication failed: {error_message}, try again")
continue
else:
print(f"Bad responsestatus: {response.status_code}, password is wrong")
except Exception as e:
print(str(e))
print(f"Can't access {self.host}, port: {self.port}")
def _print_table_simple(self, data):
if not data:
print("No data to print")
return
if isinstance(data, dict):
# handle single row data
data = [data]
columns = list(data[0].keys())
col_widths = {}
def get_string_width(text):
half_width_chars = (
" !\"#$%&'()*+,-./0123456789:;<=>?@"
"ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`"
"abcdefghijklmnopqrstuvwxyz{|}~"
"\t\n\r"
)
width = 0
for char in text:
if char in half_width_chars:
width += 1
else:
width += 2
return width
for col in columns:
max_width = get_string_width(str(col))
for item in data:
value_len = get_string_width(str(item.get(col, '')))
if value_len > max_width:
max_width = value_len
col_widths[col] = max(2, max_width)
# Generate delimiter
separator = "+" + "+".join(["-" * (col_widths[col] + 2) for col in columns]) + "+"
# Print header
print(separator)
header = "|" + "|".join([f" {col:<{col_widths[col]}} " for col in columns]) + "|"
print(header)
print(separator)
# Print data
for item in data:
row = "|"
for col in columns:
value = str(item.get(col, ''))
if get_string_width(value) > col_widths[col]:
value = value[:col_widths[col] - 3] + "..."
row += f" {value:<{col_widths[col] - (get_string_width(value) - len(value))}} |"
print(row)
print(separator)
def run_interactive(self):
self.is_interactive = True
print("RAGFlow Admin command line interface - Type '\\?' for help, '\\q' to quit")
while True:
try:
command = input("admin> ").strip()
if not command:
continue
print(f"command: {command}")
result = self.parse_command(command)
self.execute_command(result)
if isinstance(result, Tree):
continue
if result.get('type') == 'meta' and result.get('command') in ['q', 'quit', 'exit']:
break
except KeyboardInterrupt:
print("\nUse '\\q' to quit")
except EOFError:
print("\nGoodbye!")
break
def run_single_command(self, command: str):
result = self.parse_command(command)
self.execute_command(result)
def parse_connection_args(self, args: List[str]) -> Dict[str, Any]:
parser = argparse.ArgumentParser(description='Admin CLI Client', add_help=False)
parser.add_argument('-h', '--host', default='localhost', help='Admin service host')
parser.add_argument('-p', '--port', type=int, default=8080, help='Admin service port')
parser.add_argument('-w', '--password', default='admin', type=str, help='Superuser password')
parser.add_argument('command', nargs='?', help='Single command')
try:
parsed_args, remaining_args = parser.parse_known_args(args)
if remaining_args:
command = remaining_args[0]
return {
'host': parsed_args.host,
'port': parsed_args.port,
'password': parsed_args.password,
'command': command
}
else:
return {
'host': parsed_args.host,
'port': parsed_args.port,
}
except SystemExit:
return {'error': 'Invalid connection arguments'}
def execute_command(self, parsed_command: Dict[str, Any]):
command_dict: dict
if isinstance(parsed_command, Tree):
command_dict = parsed_command.children[0]
else:
if parsed_command['type'] == 'error':
print(f"Error: {parsed_command['message']}")
return
else:
command_dict = parsed_command
# print(f"Parsed command: {command_dict}")
command_type = command_dict['type']
match command_type:
case 'list_services':
self._handle_list_services(command_dict)
case 'show_service':
self._handle_show_service(command_dict)
case 'restart_service':
self._handle_restart_service(command_dict)
case 'shutdown_service':
self._handle_shutdown_service(command_dict)
case 'startup_service':
self._handle_startup_service(command_dict)
case 'list_users':
self._handle_list_users(command_dict)
case 'show_user':
self._handle_show_user(command_dict)
case 'drop_user':
self._handle_drop_user(command_dict)
case 'alter_user':
self._handle_alter_user(command_dict)
case 'create_user':
self._handle_create_user(command_dict)
case 'activate_user':
self._handle_activate_user(command_dict)
case 'list_datasets':
self._handle_list_datasets(command_dict)
case 'list_agents':
self._handle_list_agents(command_dict)
case 'create_role':
self._create_role(command_dict)
case 'drop_role':
self._drop_role(command_dict)
case 'alter_role':
self._alter_role(command_dict)
case 'list_roles':
self._list_roles(command_dict)
case 'show_role':
self._show_role(command_dict)
case 'grant_permission':
self._grant_permission(command_dict)
case 'revoke_permission':
self._revoke_permission(command_dict)
case 'alter_user_role':
self._alter_user_role(command_dict)
case 'show_user_permission':
self._show_user_permission(command_dict)
case 'meta':
self._handle_meta_command(command_dict)
case _:
print(f"Command '{command_type}' would be executed with API")
def _handle_list_services(self, command):
print("Listing all services")
url = f'http://{self.host}:{self.port}/api/v1/admin/services'
response = self.session.get(url)
res_json = response.json()
if response.status_code == 200:
self._print_table_simple(res_json['data'])
else:
print(f"Fail to get all services, code: {res_json['code']}, message: {res_json['message']}")
def _handle_show_service(self, command):
service_id: int = command['number']
print(f"Showing service: {service_id}")
url = f'http://{self.host}:{self.port}/api/v1/admin/services/{service_id}'
response = self.session.get(url)
res_json = response.json()
if response.status_code == 200:
res_data = res_json['data']
if 'status' in res_data and res_data['status'] == 'alive':
print(f"Service {res_data['service_name']} is alive, ")
if isinstance(res_data['message'], str):
print(res_data['message'])
else:
self._print_table_simple(res_data['message'])
else:
print(f"Service {res_data['service_name']} is down, {res_data['message']}")
else:
print(f"Fail to show service, code: {res_json['code']}, message: {res_json['message']}")
def _handle_restart_service(self, command):
service_id: int = command['number']
print(f"Restart service {service_id}")
def _handle_shutdown_service(self, command):
service_id: int = command['number']
print(f"Shutdown service {service_id}")
def _handle_startup_service(self, command):
service_id: int = command['number']
print(f"Startup service {service_id}")
def _handle_list_users(self, command):
print("Listing all users")
url = f'http://{self.host}:{self.port}/api/v1/admin/users'
response = self.session.get(url)
res_json = response.json()
if response.status_code == 200:
self._print_table_simple(res_json['data'])
else:
print(f"Fail to get all users, code: {res_json['code']}, message: {res_json['message']}")
def _handle_show_user(self, command):
username_tree: Tree = command['user_name']
user_name: str = username_tree.children[0].strip("'\"")
print(f"Showing user: {user_name}")
url = f'http://{self.host}:{self.port}/api/v1/admin/users/{user_name}'
response = self.session.get(url)
res_json = response.json()
if response.status_code == 200:
self._print_table_simple(res_json['data'])
else:
print(f"Fail to get user {user_name}, code: {res_json['code']}, message: {res_json['message']}")
def _handle_drop_user(self, command):
username_tree: Tree = command['user_name']
user_name: str = username_tree.children[0].strip("'\"")
print(f"Drop user: {user_name}")
url = f'http://{self.host}:{self.port}/api/v1/admin/users/{user_name}'
response = self.session.delete(url)
res_json = response.json()
if response.status_code == 200:
print(res_json["message"])
else:
print(f"Fail to drop user, code: {res_json['code']}, message: {res_json['message']}")
def _handle_alter_user(self, command):
user_name_tree: Tree = command['user_name']
user_name: str = user_name_tree.children[0].strip("'\"")
password_tree: Tree = command['password']
password: str = password_tree.children[0].strip("'\"")
print(f"Alter user: {user_name}, password: {password}")
url = f'http://{self.host}:{self.port}/api/v1/admin/users/{user_name}/password'
response = self.session.put(url, json={'new_password': encrypt(password)})
res_json = response.json()
if response.status_code == 200:
print(res_json["message"])
else:
print(f"Fail to alter password, code: {res_json['code']}, message: {res_json['message']}")
def _handle_create_user(self, command):
user_name_tree: Tree = command['user_name']
user_name: str = user_name_tree.children[0].strip("'\"")
password_tree: Tree = command['password']
password: str = password_tree.children[0].strip("'\"")
role: str = command['role']
print(f"Create user: {user_name}, password: {password}, role: {role}")
url = f'http://{self.host}:{self.port}/api/v1/admin/users'
response = self.session.post(
url,
json={'user_name': user_name, 'password': encrypt(password), 'role': role}
)
res_json = response.json()
if response.status_code == 200:
self._print_table_simple(res_json['data'])
else:
print(f"Fail to create user {user_name}, code: {res_json['code']}, message: {res_json['message']}")
def _handle_activate_user(self, command):
user_name_tree: Tree = command['user_name']
user_name: str = user_name_tree.children[0].strip("'\"")
activate_tree: Tree = command['activate_status']
activate_status: str = activate_tree.children[0].strip("'\"")
if activate_status.lower() in ['on', 'off']:
print(f"Alter user {user_name} activate status, turn {activate_status.lower()}.")
url = f'http://{self.host}:{self.port}/api/v1/admin/users/{user_name}/activate'
response = self.session.put(url, json={'activate_status': activate_status})
res_json = response.json()
if response.status_code == 200:
print(res_json["message"])
else:
print(f"Fail to alter activate status, code: {res_json['code']}, message: {res_json['message']}")
else:
print(f"Unknown activate status: {activate_status}.")
def _handle_list_datasets(self, command):
username_tree: Tree = command['user_name']
user_name: str = username_tree.children[0].strip("'\"")
print(f"Listing all datasets of user: {user_name}")
url = f'http://{self.host}:{self.port}/api/v1/admin/users/{user_name}/datasets'
response = self.session.get(url)
res_json = response.json()
if response.status_code == 200:
self._print_table_simple(res_json['data'])
else:
print(f"Fail to get all datasets of {user_name}, code: {res_json['code']}, message: {res_json['message']}")
def _handle_list_agents(self, command):
username_tree: Tree = command['user_name']
user_name: str = username_tree.children[0].strip("'\"")
print(f"Listing all agents of user: {user_name}")
url = f'http://{self.host}:{self.port}/api/v1/admin/users/{user_name}/agents'
response = self.session.get(url)
res_json = response.json()
if response.status_code == 200:
self._print_table_simple(res_json['data'])
else:
print(f"Fail to get all agents of {user_name}, code: {res_json['code']}, message: {res_json['message']}")
def _create_role(self, command):
role_name_tree: Tree = command['role_name']
role_name: str = role_name_tree.children[0].strip("'\"")
desc_str: str = ''
if 'description' in command:
desc_tree: Tree = command['description']
desc_str = desc_tree.children[0].strip("'\"")
print(f"create role name: {role_name}, description: {desc_str}")
url = f'http://{self.host}:{self.port}/api/v1/admin/roles'
response = self.session.post(
url,
json={'role_name': role_name, 'description': desc_str}
)
res_json = response.json()
if response.status_code == 200:
self._print_table_simple(res_json['data'])
else:
print(f"Fail to create role {role_name}, code: {res_json['code']}, message: {res_json['message']}")
def _drop_role(self, command):
role_name_tree: Tree = command['role_name']
role_name: str = role_name_tree.children[0].strip("'\"")
print(f"drop role name: {role_name}")
url = f'http://{self.host}:{self.port}/api/v1/admin/roles/{role_name}'
response = self.session.delete(url)
res_json = response.json()
if response.status_code == 200:
self._print_table_simple(res_json['data'])
else:
print(f"Fail to drop role {role_name}, code: {res_json['code']}, message: {res_json['message']}")
def _alter_role(self, command):
role_name_tree: Tree = command['role_name']
role_name: str = role_name_tree.children[0].strip("'\"")
desc_tree: Tree = command['description']
desc_str: str = desc_tree.children[0].strip("'\"")
print(f"alter role name: {role_name}, description: {desc_str}")
url = f'http://{self.host}:{self.port}/api/v1/admin/roles/{role_name}'
response = self.session.put(
url,
json={'description': desc_str}
)
res_json = response.json()
if response.status_code == 200:
self._print_table_simple(res_json['data'])
else:
print(
f"Fail to update role {role_name} with description: {desc_str}, code: {res_json['code']}, message: {res_json['message']}")
def _list_roles(self, command):
print("Listing all roles")
url = f'http://{self.host}:{self.port}/api/v1/admin/roles'
response = self.session.get(url)
res_json = response.json()
if response.status_code == 200:
self._print_table_simple(res_json['data'])
else:
print(f"Fail to list roles, code: {res_json['code']}, message: {res_json['message']}")
def _show_role(self, command):
role_name_tree: Tree = command['role_name']
role_name: str = role_name_tree.children[0].strip("'\"")
print(f"show role: {role_name}")
url = f'http://{self.host}:{self.port}/api/v1/admin/roles/{role_name}/permission'
response = self.session.get(url)
res_json = response.json()
if response.status_code == 200:
self._print_table_simple(res_json['data'])
else:
print(f"Fail to list roles, code: {res_json['code']}, message: {res_json['message']}")
def _grant_permission(self, command):
role_name_tree: Tree = command['role_name']
role_name_str: str = role_name_tree.children[0].strip("'\"")
resource_tree: Tree = command['resource']
resource_str: str = resource_tree.children[0].strip("'\"")
action_tree_list: list = command['actions']
actions: list = []
for action_tree in action_tree_list:
action_str: str = action_tree.children[0].strip("'\"")
actions.append(action_str)
print(f"grant role_name: {role_name_str}, resource: {resource_str}, actions: {actions}")
url = f'http://{self.host}:{self.port}/api/v1/admin/roles/{role_name_str}/permission'
response = self.session.post(
url,
json={'actions': actions, 'resource': resource_str}
)
res_json = response.json()
if response.status_code == 200:
self._print_table_simple(res_json['data'])
else:
print(
f"Fail to grant role {role_name_str} with {actions} on {resource_str}, code: {res_json['code']}, message: {res_json['message']}")
def _revoke_permission(self, command):
role_name_tree: Tree = command['role_name']
role_name_str: str = role_name_tree.children[0].strip("'\"")
resource_tree: Tree = command['resource']
resource_str: str = resource_tree.children[0].strip("'\"")
action_tree_list: list = command['actions']
actions: list = []
for action_tree in action_tree_list:
action_str: str = action_tree.children[0].strip("'\"")
actions.append(action_str)
print(f"revoke role_name: {role_name_str}, resource: {resource_str}, actions: {actions}")
url = f'http://{self.host}:{self.port}/api/v1/admin/roles/{role_name_str}/permission'
response = self.session.delete(
url,
json={'actions': actions, 'resource': resource_str}
)
res_json = response.json()
if response.status_code == 200:
self._print_table_simple(res_json['data'])
else:
print(
f"Fail to revoke role {role_name_str} with {actions} on {resource_str}, code: {res_json['code']}, message: {res_json['message']}")
def _alter_user_role(self, command):
role_name_tree: Tree = command['role_name']
role_name_str: str = role_name_tree.children[0].strip("'\"")
user_name_tree: Tree = command['user_name']
user_name_str: str = user_name_tree.children[0].strip("'\"")
print(f"alter_user_role user_name: {user_name_str}, role_name: {role_name_str}")
url = f'http://{self.host}:{self.port}/api/v1/admin/users/{user_name_str}/role'
response = self.session.put(
url,
json={'role_name': role_name_str}
)
res_json = response.json()
if response.status_code == 200:
self._print_table_simple(res_json['data'])
else:
print(
f"Fail to alter user: {user_name_str} to role {role_name_str}, code: {res_json['code']}, message: {res_json['message']}")
def _show_user_permission(self, command):
user_name_tree: Tree = command['user_name']
user_name_str: str = user_name_tree.children[0].strip("'\"")
print(f"show_user_permission user_name: {user_name_str}")
url = f'http://{self.host}:{self.port}/api/v1/admin/users/{user_name_str}/permission'
response = self.session.get(url)
res_json = response.json()
if response.status_code == 200:
self._print_table_simple(res_json['data'])
else:
print(
f"Fail to show user: {user_name_str} permission, code: {res_json['code']}, message: {res_json['message']}")
def _handle_meta_command(self, command):
meta_command = command['command']
args = command.get('args', [])
if meta_command in ['?', 'h', 'help']:
self.show_help()
elif meta_command in ['q', 'quit', 'exit']:
print("Goodbye!")
else:
print(f"Meta command '{meta_command}' with args {args}")
def show_help(self):
"""Help info"""
help_text = """
Commands:
LIST SERVICES
SHOW SERVICE <service>
STARTUP SERVICE <service>
SHUTDOWN SERVICE <service>
RESTART SERVICE <service>
LIST USERS
SHOW USER <user>
DROP USER <user>
CREATE USER <user> <password>
ALTER USER PASSWORD <user> <new_password>
ALTER USER ACTIVE <user> <on/off>
LIST DATASETS OF <user>
LIST AGENTS OF <user>
Meta Commands:
\\?, \\h, \\help Show this help
\\q, \\quit, \\exit Quit the CLI
"""
print(help_text)
def main():
import sys
cli = AdminCLI()
args = cli.parse_connection_args(sys.argv)
if 'error' in args:
print(f"Error: {args['error']}")
return
if 'command' in args:
if 'password' not in args:
print("Error: password is missing")
return
if cli.verify_admin(args, single_command=True):
command: str = args['command']
print(f"Run single command: {command}")
cli.run_single_command(command)
else:
if cli.verify_admin(args, single_command=False):
print(r"""
____ ___ ______________ ___ __ _
/ __ \/ | / ____/ ____/ /___ _ __ / | ____/ /___ ___ (_)___
/ /_/ / /| |/ / __/ /_ / / __ \ | /| / / / /| |/ __ / __ `__ \/ / __ \
/ _, _/ ___ / /_/ / __/ / / /_/ / |/ |/ / / ___ / /_/ / / / / / / / / / /
/_/ |_/_/ |_\____/_/ /_/\____/|__/|__/ /_/ |_\__,_/_/ /_/ /_/_/_/ /_/
""")
cli.cmdloop()
if __name__ == '__main__':
main()

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[project]
name = "ragflow-cli"
version = "0.21.1"
description = "Admin Service's client of [RAGFlow](https://github.com/infiniflow/ragflow). The Admin Service provides user management and system monitoring. "
authors = [{ name = "Lynn", email = "lynn_inf@hotmail.com" }]
license = { text = "Apache License, Version 2.0" }
readme = "README.md"
requires-python = ">=3.10,<3.13"
dependencies = [
"requests>=2.30.0,<3.0.0",
"beartype>=0.18.5,<0.19.0",
"pycryptodomex>=3.10.0",
"lark>=1.1.0",
]
[dependency-groups]
test = [
"pytest>=8.3.5",
"requests>=2.32.3",
"requests-toolbelt>=1.0.0",
]
[project.scripts]
ragflow-cli = "admin_client:main"

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import os
import signal
import logging
import time
import threading
import traceback
from werkzeug.serving import run_simple
from flask import Flask
from routes import admin_bp
from api.utils.log_utils import init_root_logger
from api.constants import SERVICE_CONF
from api import settings
from config import load_configurations, SERVICE_CONFIGS
from auth import init_default_admin, setup_auth
from flask_session import Session
from flask_login import LoginManager
stop_event = threading.Event()
if __name__ == '__main__':
init_root_logger("admin_service")
logging.info(r"""
____ ___ ______________ ___ __ _
/ __ \/ | / ____/ ____/ /___ _ __ / | ____/ /___ ___ (_)___
/ /_/ / /| |/ / __/ /_ / / __ \ | /| / / / /| |/ __ / __ `__ \/ / __ \
/ _, _/ ___ / /_/ / __/ / / /_/ / |/ |/ / / ___ / /_/ / / / / / / / / / /
/_/ |_/_/ |_\____/_/ /_/\____/|__/|__/ /_/ |_\__,_/_/ /_/ /_/_/_/ /_/
""")
app = Flask(__name__)
app.register_blueprint(admin_bp)
app.config["SESSION_PERMANENT"] = False
app.config["SESSION_TYPE"] = "filesystem"
app.config["MAX_CONTENT_LENGTH"] = int(
os.environ.get("MAX_CONTENT_LENGTH", 1024 * 1024 * 1024)
)
Session(app)
login_manager = LoginManager()
login_manager.init_app(app)
settings.init_settings()
setup_auth(login_manager)
init_default_admin()
SERVICE_CONFIGS.configs = load_configurations(SERVICE_CONF)
try:
logging.info("RAGFlow Admin service start...")
run_simple(
hostname="0.0.0.0",
port=9381,
application=app,
threaded=True,
use_reloader=True,
use_debugger=True,
)
except Exception:
traceback.print_exc()
stop_event.set()
time.sleep(1)
os.kill(os.getpid(), signal.SIGKILL)

193
admin/server/auth.py Normal file
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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import logging
import uuid
from functools import wraps
from datetime import datetime
from flask import request, jsonify
from flask_login import current_user, login_user
from itsdangerous.url_safe import URLSafeTimedSerializer as Serializer
from api import settings
from api.common.exceptions import AdminException, UserNotFoundError
from api.db.init_data import encode_to_base64
from api.db.services import UserService
from api.db import ActiveEnum, StatusEnum
from api.utils.crypt import decrypt
from api.utils import (
current_timestamp,
datetime_format,
get_format_time,
get_uuid,
)
from api.utils.api_utils import (
construct_response,
)
def setup_auth(login_manager):
@login_manager.request_loader
def load_user(web_request):
jwt = Serializer(secret_key=settings.SECRET_KEY)
authorization = web_request.headers.get("Authorization")
if authorization:
try:
access_token = str(jwt.loads(authorization))
if not access_token or not access_token.strip():
logging.warning("Authentication attempt with empty access token")
return None
# Access tokens should be UUIDs (32 hex characters)
if len(access_token.strip()) < 32:
logging.warning(f"Authentication attempt with invalid token format: {len(access_token)} chars")
return None
user = UserService.query(
access_token=access_token, status=StatusEnum.VALID.value
)
if user:
if not user[0].access_token or not user[0].access_token.strip():
logging.warning(f"User {user[0].email} has empty access_token in database")
return None
return user[0]
else:
return None
except Exception as e:
logging.warning(f"load_user got exception {e}")
return None
else:
return None
def init_default_admin():
# Verify that at least one active admin user exists. If not, create a default one.
users = UserService.query(is_superuser=True)
if not users:
default_admin = {
"id": uuid.uuid1().hex,
"password": encode_to_base64("admin"),
"nickname": "admin",
"is_superuser": True,
"email": "admin@ragflow.io",
"creator": "system",
"status": "1",
}
if not UserService.save(**default_admin):
raise AdminException("Can't init admin.", 500)
elif not any([u.is_active == ActiveEnum.ACTIVE.value for u in users]):
raise AdminException("No active admin. Please update 'is_active' in db manually.", 500)
def check_admin_auth(func):
@wraps(func)
def wrapper(*args, **kwargs):
user = UserService.filter_by_id(current_user.id)
if not user:
raise UserNotFoundError(current_user.email)
if not user.is_superuser:
raise AdminException("Not admin", 403)
if user.is_active == ActiveEnum.INACTIVE.value:
raise AdminException(f"User {current_user.email} inactive", 403)
return func(*args, **kwargs)
return wrapper
def login_admin(email: str, password: str):
"""
:param email: admin email
:param password: string before decrypt
"""
users = UserService.query(email=email)
if not users:
raise UserNotFoundError(email)
psw = decrypt(password)
user = UserService.query_user(email, psw)
if not user:
raise AdminException("Email and password do not match!")
if not user.is_superuser:
raise AdminException("Not admin", 403)
if user.is_active == ActiveEnum.INACTIVE.value:
raise AdminException(f"User {email} inactive", 403)
resp = user.to_json()
user.access_token = get_uuid()
login_user(user)
user.update_time = (current_timestamp(),)
user.update_date = (datetime_format(datetime.now()),)
user.last_login_time = get_format_time()
user.save()
msg = "Welcome back!"
return construct_response(data=resp, auth=user.get_id(), message=msg)
def check_admin(username: str, password: str):
users = UserService.query(email=username)
if not users:
logging.info(f"Username: {username} is not registered!")
user_info = {
"id": uuid.uuid1().hex,
"password": encode_to_base64("admin"),
"nickname": "admin",
"is_superuser": True,
"email": "admin@ragflow.io",
"creator": "system",
"status": "1",
}
if not UserService.save(**user_info):
raise AdminException("Can't init admin.", 500)
user = UserService.query_user(username, password)
if user:
return True
else:
return False
def login_verify(f):
@wraps(f)
def decorated(*args, **kwargs):
auth = request.authorization
if not auth or 'username' not in auth.parameters or 'password' not in auth.parameters:
return jsonify({
"code": 401,
"message": "Authentication required",
"data": None
}), 200
username = auth.parameters['username']
password = auth.parameters['password']
try:
if check_admin(username, password) is False:
return jsonify({
"code": 500,
"message": "Access denied",
"data": None
}), 200
except Exception as e:
error_msg = str(e)
return jsonify({
"code": 500,
"message": error_msg
}), 200
return f(*args, **kwargs)
return decorated

306
admin/server/config.py Normal file
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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import logging
import threading
from enum import Enum
from pydantic import BaseModel
from typing import Any
from api.utils.configs import read_config
from urllib.parse import urlparse
class ServiceConfigs:
configs = dict
def __init__(self):
self.configs = []
self.lock = threading.Lock()
SERVICE_CONFIGS = ServiceConfigs
class ServiceType(Enum):
METADATA = "metadata"
RETRIEVAL = "retrieval"
MESSAGE_QUEUE = "message_queue"
RAGFLOW_SERVER = "ragflow_server"
TASK_EXECUTOR = "task_executor"
FILE_STORE = "file_store"
class BaseConfig(BaseModel):
id: int
name: str
host: str
port: int
service_type: str
detail_func_name: str
def to_dict(self) -> dict[str, Any]:
return {'id': self.id, 'name': self.name, 'host': self.host, 'port': self.port,
'service_type': self.service_type}
class MetaConfig(BaseConfig):
meta_type: str
def to_dict(self) -> dict[str, Any]:
result = super().to_dict()
if 'extra' not in result:
result['extra'] = dict()
extra_dict = result['extra'].copy()
extra_dict['meta_type'] = self.meta_type
result['extra'] = extra_dict
return result
class MySQLConfig(MetaConfig):
username: str
password: str
def to_dict(self) -> dict[str, Any]:
result = super().to_dict()
if 'extra' not in result:
result['extra'] = dict()
extra_dict = result['extra'].copy()
extra_dict['username'] = self.username
extra_dict['password'] = self.password
result['extra'] = extra_dict
return result
class PostgresConfig(MetaConfig):
def to_dict(self) -> dict[str, Any]:
result = super().to_dict()
if 'extra' not in result:
result['extra'] = dict()
return result
class RetrievalConfig(BaseConfig):
retrieval_type: str
def to_dict(self) -> dict[str, Any]:
result = super().to_dict()
if 'extra' not in result:
result['extra'] = dict()
extra_dict = result['extra'].copy()
extra_dict['retrieval_type'] = self.retrieval_type
result['extra'] = extra_dict
return result
class InfinityConfig(RetrievalConfig):
db_name: str
def to_dict(self) -> dict[str, Any]:
result = super().to_dict()
if 'extra' not in result:
result['extra'] = dict()
extra_dict = result['extra'].copy()
extra_dict['db_name'] = self.db_name
result['extra'] = extra_dict
return result
class ElasticsearchConfig(RetrievalConfig):
username: str
password: str
def to_dict(self) -> dict[str, Any]:
result = super().to_dict()
if 'extra' not in result:
result['extra'] = dict()
extra_dict = result['extra'].copy()
extra_dict['username'] = self.username
extra_dict['password'] = self.password
result['extra'] = extra_dict
return result
class MessageQueueConfig(BaseConfig):
mq_type: str
def to_dict(self) -> dict[str, Any]:
result = super().to_dict()
if 'extra' not in result:
result['extra'] = dict()
extra_dict = result['extra'].copy()
extra_dict['mq_type'] = self.mq_type
result['extra'] = extra_dict
return result
class RedisConfig(MessageQueueConfig):
database: int
password: str
def to_dict(self) -> dict[str, Any]:
result = super().to_dict()
if 'extra' not in result:
result['extra'] = dict()
extra_dict = result['extra'].copy()
extra_dict['database'] = self.database
extra_dict['password'] = self.password
result['extra'] = extra_dict
return result
class RabbitMQConfig(MessageQueueConfig):
def to_dict(self) -> dict[str, Any]:
result = super().to_dict()
if 'extra' not in result:
result['extra'] = dict()
return result
class RAGFlowServerConfig(BaseConfig):
def to_dict(self) -> dict[str, Any]:
result = super().to_dict()
if 'extra' not in result:
result['extra'] = dict()
return result
class TaskExecutorConfig(BaseConfig):
def to_dict(self) -> dict[str, Any]:
result = super().to_dict()
if 'extra' not in result:
result['extra'] = dict()
return result
class FileStoreConfig(BaseConfig):
store_type: str
def to_dict(self) -> dict[str, Any]:
result = super().to_dict()
if 'extra' not in result:
result['extra'] = dict()
extra_dict = result['extra'].copy()
extra_dict['store_type'] = self.store_type
result['extra'] = extra_dict
return result
class MinioConfig(FileStoreConfig):
user: str
password: str
def to_dict(self) -> dict[str, Any]:
result = super().to_dict()
if 'extra' not in result:
result['extra'] = dict()
extra_dict = result['extra'].copy()
extra_dict['user'] = self.user
extra_dict['password'] = self.password
result['extra'] = extra_dict
return result
def load_configurations(config_path: str) -> list[BaseConfig]:
raw_configs = read_config(config_path)
configurations = []
ragflow_count = 0
id_count = 0
for k, v in raw_configs.items():
match (k):
case "ragflow":
name: str = f'ragflow_{ragflow_count}'
host: str = v['host']
http_port: int = v['http_port']
config = RAGFlowServerConfig(id=id_count, name=name, host=host, port=http_port,
service_type="ragflow_server",
detail_func_name="check_ragflow_server_alive")
configurations.append(config)
id_count += 1
case "es":
name: str = 'elasticsearch'
url = v['hosts']
parsed = urlparse(url)
host: str = parsed.hostname
port: int = parsed.port
username: str = v.get('username')
password: str = v.get('password')
config = ElasticsearchConfig(id=id_count, name=name, host=host, port=port, service_type="retrieval",
retrieval_type="elasticsearch",
username=username, password=password,
detail_func_name="get_es_cluster_stats")
configurations.append(config)
id_count += 1
case "infinity":
name: str = 'infinity'
url = v['uri']
parts = url.split(':', 1)
host = parts[0]
port = int(parts[1])
database: str = v.get('db_name', 'default_db')
config = InfinityConfig(id=id_count, name=name, host=host, port=port, service_type="retrieval",
retrieval_type="infinity",
db_name=database, detail_func_name="get_infinity_status")
configurations.append(config)
id_count += 1
case "minio":
name: str = 'minio'
url = v['host']
parts = url.split(':', 1)
host = parts[0]
port = int(parts[1])
user = v.get('user')
password = v.get('password')
config = MinioConfig(id=id_count, name=name, host=host, port=port, user=user, password=password,
service_type="file_store",
store_type="minio", detail_func_name="check_minio_alive")
configurations.append(config)
id_count += 1
case "redis":
name: str = 'redis'
url = v['host']
parts = url.split(':', 1)
host = parts[0]
port = int(parts[1])
password = v.get('password')
db: int = v.get('db')
config = RedisConfig(id=id_count, name=name, host=host, port=port, password=password, database=db,
service_type="message_queue", mq_type="redis", detail_func_name="get_redis_info")
configurations.append(config)
id_count += 1
case "mysql":
name: str = 'mysql'
host: str = v.get('host')
port: int = v.get('port')
username = v.get('user')
password = v.get('password')
config = MySQLConfig(id=id_count, name=name, host=host, port=port, username=username, password=password,
service_type="meta_data", meta_type="mysql", detail_func_name="get_mysql_status")
configurations.append(config)
id_count += 1
case "admin":
pass
case _:
logging.warning(f"Unknown configuration key: {k}")
continue
return configurations

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class AdminException(Exception):
def __init__(self, message, code=400):
super().__init__(message)
self.code = code
self.message = message
class UserNotFoundError(AdminException):
def __init__(self, username):
super().__init__(f"User '{username}' not found", 404)
class UserAlreadyExistsError(AdminException):
def __init__(self, username):
super().__init__(f"User '{username}' already exists", 409)
class CannotDeleteAdminError(AdminException):
def __init__(self):
super().__init__("Cannot delete admin account", 403)

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from flask import jsonify
def success_response(data=None, message="Success", code=0):
return jsonify({
"code": code,
"message": message,
"data": data
}), 200
def error_response(message="Error", code=-1, data=None):
return jsonify({
"code": code,
"message": message,
"data": data
}), 400

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import logging
from typing import Dict, Any
from api.common.exceptions import AdminException
class RoleMgr:
@staticmethod
def create_role(role_name: str, description: str):
error_msg = f"not implement: create role: {role_name}, description: {description}"
logging.error(error_msg)
raise AdminException(error_msg)
@staticmethod
def update_role_description(role_name: str, description: str) -> Dict[str, Any]:
error_msg = f"not implement: update role: {role_name} with description: {description}"
logging.error(error_msg)
raise AdminException(error_msg)
@staticmethod
def delete_role(role_name: str) -> Dict[str, Any]:
error_msg = f"not implement: drop role: {role_name}"
logging.error(error_msg)
raise AdminException(error_msg)
@staticmethod
def list_roles() -> Dict[str, Any]:
error_msg = "not implement: list roles"
logging.error(error_msg)
raise AdminException(error_msg)
@staticmethod
def get_role_permission(role_name: str) -> Dict[str, Any]:
error_msg = f"not implement: show role {role_name}"
logging.error(error_msg)
raise AdminException(error_msg)
@staticmethod
def grant_role_permission(role_name: str, actions: list, resource: str) -> Dict[str, Any]:
error_msg = f"not implement: grant role {role_name} actions: {actions} on {resource}"
logging.error(error_msg)
raise AdminException(error_msg)
@staticmethod
def revoke_role_permission(role_name: str, actions: list, resource: str) -> Dict[str, Any]:
error_msg = f"not implement: revoke role {role_name} actions: {actions} on {resource}"
logging.error(error_msg)
raise AdminException(error_msg)
@staticmethod
def update_user_role(user_name: str, role_name: str) -> Dict[str, Any]:
error_msg = f"not implement: update user role: {user_name} to role {role_name}"
logging.error(error_msg)
raise AdminException(error_msg)
@staticmethod
def get_user_permission(user_name: str) -> Dict[str, Any]:
error_msg = f"not implement: get user permission: {user_name}"
logging.error(error_msg)
raise AdminException(error_msg)

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import secrets
from flask import Blueprint, request
from flask_login import current_user, logout_user, login_required
from auth import login_verify, login_admin, check_admin_auth
from responses import success_response, error_response
from services import UserMgr, ServiceMgr, UserServiceMgr
from roles import RoleMgr
from api.common.exceptions import AdminException
admin_bp = Blueprint('admin', __name__, url_prefix='/api/v1/admin')
@admin_bp.route('/login', methods=['POST'])
def login():
if not request.json:
return error_response('Authorize admin failed.' ,400)
try:
email = request.json.get("email", "")
password = request.json.get("password", "")
return login_admin(email, password)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/logout', methods=['GET'])
@login_required
def logout():
try:
current_user.access_token = f"INVALID_{secrets.token_hex(16)}"
current_user.save()
logout_user()
return success_response(True)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/auth', methods=['GET'])
@login_verify
def auth_admin():
try:
return success_response(None, "Admin is authorized", 0)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/users', methods=['GET'])
@login_required
@check_admin_auth
def list_users():
try:
users = UserMgr.get_all_users()
return success_response(users, "Get all users", 0)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/users', methods=['POST'])
@login_required
@check_admin_auth
def create_user():
try:
data = request.get_json()
if not data or 'username' not in data or 'password' not in data:
return error_response("Username and password are required", 400)
username = data['username']
password = data['password']
role = data.get('role', 'user')
res = UserMgr.create_user(username, password, role)
if res["success"]:
user_info = res["user_info"]
user_info.pop("password") # do not return password
return success_response(user_info, "User created successfully")
else:
return error_response("create user failed")
except AdminException as e:
return error_response(e.message, e.code)
except Exception as e:
return error_response(str(e))
@admin_bp.route('/users/<username>', methods=['DELETE'])
@login_required
@check_admin_auth
def delete_user(username):
try:
res = UserMgr.delete_user(username)
if res["success"]:
return success_response(None, res["message"])
else:
return error_response(res["message"])
except AdminException as e:
return error_response(e.message, e.code)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/users/<username>/password', methods=['PUT'])
@login_required
@check_admin_auth
def change_password(username):
try:
data = request.get_json()
if not data or 'new_password' not in data:
return error_response("New password is required", 400)
new_password = data['new_password']
msg = UserMgr.update_user_password(username, new_password)
return success_response(None, msg)
except AdminException as e:
return error_response(e.message, e.code)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/users/<username>/activate', methods=['PUT'])
@login_required
@check_admin_auth
def alter_user_activate_status(username):
try:
data = request.get_json()
if not data or 'activate_status' not in data:
return error_response("Activation status is required", 400)
activate_status = data['activate_status']
msg = UserMgr.update_user_activate_status(username, activate_status)
return success_response(None, msg)
except AdminException as e:
return error_response(e.message, e.code)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/users/<username>', methods=['GET'])
@login_required
@check_admin_auth
def get_user_details(username):
try:
user_details = UserMgr.get_user_details(username)
return success_response(user_details)
except AdminException as e:
return error_response(e.message, e.code)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/users/<username>/datasets', methods=['GET'])
@login_required
@check_admin_auth
def get_user_datasets(username):
try:
datasets_list = UserServiceMgr.get_user_datasets(username)
return success_response(datasets_list)
except AdminException as e:
return error_response(e.message, e.code)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/users/<username>/agents', methods=['GET'])
@login_required
@check_admin_auth
def get_user_agents(username):
try:
agents_list = UserServiceMgr.get_user_agents(username)
return success_response(agents_list)
except AdminException as e:
return error_response(e.message, e.code)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/services', methods=['GET'])
@login_required
@check_admin_auth
def get_services():
try:
services = ServiceMgr.get_all_services()
return success_response(services, "Get all services", 0)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/service_types/<service_type>', methods=['GET'])
@login_required
@check_admin_auth
def get_services_by_type(service_type_str):
try:
services = ServiceMgr.get_services_by_type(service_type_str)
return success_response(services)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/services/<service_id>', methods=['GET'])
@login_required
@check_admin_auth
def get_service(service_id):
try:
services = ServiceMgr.get_service_details(service_id)
return success_response(services)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/services/<service_id>', methods=['DELETE'])
@login_required
@check_admin_auth
def shutdown_service(service_id):
try:
services = ServiceMgr.shutdown_service(service_id)
return success_response(services)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/services/<service_id>', methods=['PUT'])
@login_required
@check_admin_auth
def restart_service(service_id):
try:
services = ServiceMgr.restart_service(service_id)
return success_response(services)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/roles', methods=['POST'])
@login_required
@check_admin_auth
def create_role():
try:
data = request.get_json()
if not data or 'role_name' not in data:
return error_response("Role name is required", 400)
role_name: str = data['role_name']
description: str = data['description']
res = RoleMgr.create_role(role_name, description)
return success_response(res)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/roles/<role_name>', methods=['PUT'])
@login_required
@check_admin_auth
def update_role(role_name: str):
try:
data = request.get_json()
if not data or 'description' not in data:
return error_response("Role description is required", 400)
description: str = data['description']
res = RoleMgr.update_role_description(role_name, description)
return success_response(res)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/roles/<role_name>', methods=['DELETE'])
@login_required
@check_admin_auth
def delete_role(role_name: str):
try:
res = RoleMgr.delete_role(role_name)
return success_response(res)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/roles', methods=['GET'])
@login_required
@check_admin_auth
def list_roles():
try:
res = RoleMgr.list_roles()
return success_response(res)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/roles/<role_name>/permission', methods=['GET'])
@login_required
@check_admin_auth
def get_role_permission(role_name: str):
try:
res = RoleMgr.get_role_permission(role_name)
return success_response(res)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/roles/<role_name>/permission', methods=['POST'])
@login_required
@check_admin_auth
def grant_role_permission(role_name: str):
try:
data = request.get_json()
if not data or 'actions' not in data or 'resource' not in data:
return error_response("Permission is required", 400)
actions: list = data['actions']
resource: str = data['resource']
res = RoleMgr.grant_role_permission(role_name, actions, resource)
return success_response(res)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/roles/<role_name>/permission', methods=['DELETE'])
@login_required
@check_admin_auth
def revoke_role_permission(role_name: str):
try:
data = request.get_json()
if not data or 'actions' not in data or 'resource' not in data:
return error_response("Permission is required", 400)
actions: list = data['actions']
resource: str = data['resource']
res = RoleMgr.revoke_role_permission(role_name, actions, resource)
return success_response(res)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/users/<user_name>/role', methods=['PUT'])
@login_required
@check_admin_auth
def update_user_role(user_name: str):
try:
data = request.get_json()
if not data or 'role_name' not in data:
return error_response("Role name is required", 400)
role_name: str = data['role_name']
res = RoleMgr.update_user_role(user_name, role_name)
return success_response(res)
except Exception as e:
return error_response(str(e), 500)
@admin_bp.route('/users/<user_name>/permission', methods=['GET'])
@login_required
@check_admin_auth
def get_user_permission(user_name: str):
try:
res = RoleMgr.get_user_permission(user_name)
return success_response(res)
except Exception as e:
return error_response(str(e), 500)

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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import re
from werkzeug.security import check_password_hash
from api.db import ActiveEnum
from api.db.services import UserService
from api.db.joint_services.user_account_service import create_new_user, delete_user_data
from api.db.services.canvas_service import UserCanvasService
from api.db.services.user_service import TenantService
from api.db.services.knowledgebase_service import KnowledgebaseService
from api.utils.crypt import decrypt
from api.utils import health_utils
from api.common.exceptions import AdminException, UserAlreadyExistsError, UserNotFoundError
from config import SERVICE_CONFIGS
class UserMgr:
@staticmethod
def get_all_users():
users = UserService.get_all_users()
result = []
for user in users:
result.append({
'email': user.email,
'nickname': user.nickname,
'create_date': user.create_date,
'is_active': user.is_active,
'is_superuser': user.is_superuser,
})
return result
@staticmethod
def get_user_details(username):
# use email to query
users = UserService.query_user_by_email(username)
result = []
for user in users:
result.append({
'email': user.email,
'language': user.language,
'last_login_time': user.last_login_time,
'is_active': user.is_active,
'is_anonymous': user.is_anonymous,
'login_channel': user.login_channel,
'status': user.status,
'is_superuser': user.is_superuser,
'create_date': user.create_date,
'update_date': user.update_date
})
return result
@staticmethod
def create_user(username, password, role="user") -> dict:
# Validate the email address
if not re.match(r"^[\w\._-]+@([\w_-]+\.)+[\w-]{2,}$", username):
raise AdminException(f"Invalid email address: {username}!")
# Check if the email address is already used
if UserService.query(email=username):
raise UserAlreadyExistsError(username)
# Construct user info data
user_info_dict = {
"email": username,
"nickname": "", # ask user to edit it manually in settings.
"password": decrypt(password),
"login_channel": "password",
"is_superuser": role == "admin",
}
return create_new_user(user_info_dict)
@staticmethod
def delete_user(username):
# use email to delete
user_list = UserService.query_user_by_email(username)
if not user_list:
raise UserNotFoundError(username)
if len(user_list) > 1:
raise AdminException(f"Exist more than 1 user: {username}!")
usr = user_list[0]
return delete_user_data(usr.id)
@staticmethod
def update_user_password(username, new_password) -> str:
# use email to find user. check exist and unique.
user_list = UserService.query_user_by_email(username)
if not user_list:
raise UserNotFoundError(username)
elif len(user_list) > 1:
raise AdminException(f"Exist more than 1 user: {username}!")
# check new_password different from old.
usr = user_list[0]
psw = decrypt(new_password)
if check_password_hash(usr.password, psw):
return "Same password, no need to update!"
# update password
UserService.update_user_password(usr.id, psw)
return "Password updated successfully!"
@staticmethod
def update_user_activate_status(username, activate_status: str):
# use email to find user. check exist and unique.
user_list = UserService.query_user_by_email(username)
if not user_list:
raise UserNotFoundError(username)
elif len(user_list) > 1:
raise AdminException(f"Exist more than 1 user: {username}!")
# check activate status different from new
usr = user_list[0]
# format activate_status before handle
_activate_status = activate_status.lower()
target_status = {
'on': ActiveEnum.ACTIVE.value,
'off': ActiveEnum.INACTIVE.value,
}.get(_activate_status)
if not target_status:
raise AdminException(f"Invalid activate_status: {activate_status}")
if target_status == usr.is_active:
return f"User activate status is already {_activate_status}!"
# update is_active
UserService.update_user(usr.id, {"is_active": target_status})
return f"Turn {_activate_status} user activate status successfully!"
class UserServiceMgr:
@staticmethod
def get_user_datasets(username):
# use email to find user.
user_list = UserService.query_user_by_email(username)
if not user_list:
raise UserNotFoundError(username)
elif len(user_list) > 1:
raise AdminException(f"Exist more than 1 user: {username}!")
# find tenants
usr = user_list[0]
tenants = TenantService.get_joined_tenants_by_user_id(usr.id)
tenant_ids = [m["tenant_id"] for m in tenants]
# filter permitted kb and owned kb
return KnowledgebaseService.get_all_kb_by_tenant_ids(tenant_ids, usr.id)
@staticmethod
def get_user_agents(username):
# use email to find user.
user_list = UserService.query_user_by_email(username)
if not user_list:
raise UserNotFoundError(username)
elif len(user_list) > 1:
raise AdminException(f"Exist more than 1 user: {username}!")
# find tenants
usr = user_list[0]
tenants = TenantService.get_joined_tenants_by_user_id(usr.id)
tenant_ids = [m["tenant_id"] for m in tenants]
# filter permitted agents and owned agents
res = UserCanvasService.get_all_agents_by_tenant_ids(tenant_ids, usr.id)
return [{
'title': r['title'],
'permission': r['permission'],
'canvas_category': r['canvas_category'].split('_')[0]
} for r in res]
class ServiceMgr:
@staticmethod
def get_all_services():
result = []
configs = SERVICE_CONFIGS.configs
for service_id, config in enumerate(configs):
config_dict = config.to_dict()
try:
service_detail = ServiceMgr.get_service_details(service_id)
if "status" in service_detail:
config_dict['status'] = service_detail['status']
else:
config_dict['status'] = 'timeout'
except Exception:
config_dict['status'] = 'timeout'
result.append(config_dict)
return result
@staticmethod
def get_services_by_type(service_type_str: str):
raise AdminException("get_services_by_type: not implemented")
@staticmethod
def get_service_details(service_id: int):
service_id = int(service_id)
configs = SERVICE_CONFIGS.configs
service_config_mapping = {
c.id: {
'name': c.name,
'detail_func_name': c.detail_func_name
} for c in configs
}
service_info = service_config_mapping.get(service_id, {})
if not service_info:
raise AdminException(f"invalid service_id: {service_id}")
detail_func = getattr(health_utils, service_info.get('detail_func_name'))
res = detail_func()
res.update({'service_name': service_info.get('name')})
return res
@staticmethod
def shutdown_service(service_id: int):
raise AdminException("shutdown_service: not implemented")
@staticmethod
def restart_service(service_id: int):
raise AdminException("restart_service: not implemented")

View File

@ -27,7 +27,7 @@ from agent.component import component_class
from agent.component.base import ComponentBase
from api.db.services.file_service import FileService
from api.utils import get_uuid, hash_str2int
from rag.prompts.prompts import chunks_format
from rag.prompts.generator import chunks_format
from rag.utils.redis_conn import REDIS_CONN
class Graph:
@ -153,6 +153,16 @@ class Graph:
def get_tenant_id(self):
return self._tenant_id
def get_variable_value(self, exp: str) -> Any:
exp = exp.strip("{").strip("}").strip(" ").strip("{").strip("}")
if exp.find("@") < 0:
return self.globals[exp]
cpn_id, var_nm = exp.split("@")
cpn = self.get_component(cpn_id)
if not cpn:
raise Exception(f"Can't find variable: '{cpn_id}@{var_nm}'")
return cpn["obj"].output(var_nm)
class Canvas(Graph):
@ -193,7 +203,6 @@ class Canvas(Graph):
self.history = []
self.retrieval = []
self.memory = []
for k in self.globals.keys():
if isinstance(self.globals[k], str):
self.globals[k] = ""
@ -282,7 +291,6 @@ class Canvas(Graph):
"thoughts": self.get_component_thoughts(self.path[i])
})
_run_batch(idx, to)
# post processing of components invocation
for i in range(idx, to):
cpn = self.get_component(self.path[i])
@ -383,7 +391,6 @@ class Canvas(Graph):
self.path = path
yield decorate("user_inputs", {"inputs": another_inputs, "tips": tips})
return
self.path = self.path[:idx]
if not self.error:
yield decorate("workflow_finished",
@ -406,16 +413,6 @@ class Canvas(Graph):
return False
return True
def get_variable_value(self, exp: str) -> Any:
exp = exp.strip("{").strip("}").strip(" ").strip("{").strip("}")
if exp.find("@") < 0:
return self.globals[exp]
cpn_id, var_nm = exp.split("@")
cpn = self.get_component(cpn_id)
if not cpn:
raise Exception(f"Can't find variable: '{cpn_id}@{var_nm}'")
return cpn["obj"].output(var_nm)
def get_history(self, window_size):
convs = []
if window_size <= 0:
@ -490,7 +487,8 @@ class Canvas(Graph):
r = self.retrieval[-1]
for ck in chunks_format({"chunks": chunks}):
cid = hash_str2int(ck["id"], 100)
cid = hash_str2int(ck["id"], 500)
# cid = uuid.uuid5(uuid.NAMESPACE_DNS, ck["id"])
if cid not in r:
r["chunks"][cid] = ck

View File

@ -28,9 +28,8 @@ from api.db.services.llm_service import LLMBundle
from api.db.services.tenant_llm_service import TenantLLMService
from api.db.services.mcp_server_service import MCPServerService
from api.utils.api_utils import timeout
from rag.prompts import message_fit_in
from rag.prompts.prompts import next_step, COMPLETE_TASK, analyze_task, \
citation_prompt, reflect, rank_memories, kb_prompt, citation_plus, full_question
from rag.prompts.generator import next_step, COMPLETE_TASK, analyze_task, \
citation_prompt, reflect, rank_memories, kb_prompt, citation_plus, full_question, message_fit_in
from rag.utils.mcp_tool_call_conn import MCPToolCallSession, mcp_tool_metadata_to_openai_tool
from agent.component.llm import LLMParam, LLM
@ -138,7 +137,7 @@ class Agent(LLM, ToolBase):
res.update(cpn.get_input_form())
return res
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 20*60))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 20*60)))
def _invoke(self, **kwargs):
if kwargs.get("user_prompt"):
usr_pmt = ""
@ -347,3 +346,11 @@ Respond immediately with your final comprehensive answer.
return "Error occurred."
def reset(self, temp=False):
"""
Reset all tools if they have a reset method. This avoids errors for tools like MCPToolCallSession.
"""
for k, cpn in self.tools.items():
if hasattr(cpn, "reset") and callable(cpn.reset):
cpn.reset()

View File

@ -244,7 +244,7 @@ class ComponentParamBase(ABC):
if not value_legal:
raise ValueError(
"Plase check runtime conf, {} = {} does not match user-parameter restriction".format(
"Please check runtime conf, {} = {} does not match user-parameter restriction".format(
variable, value
)
)
@ -431,7 +431,7 @@ class ComponentBase(ABC):
self.set_output("_elapsed_time", time.perf_counter() - self.output("_created_time"))
return self.output()
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 10*60))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 10*60)))
def _invoke(self, **kwargs):
raise NotImplementedError()

View File

@ -28,7 +28,7 @@ from rag.llm.chat_model import ERROR_PREFIX
class CategorizeParam(LLMParam):
"""
Define the Categorize component parameters.
Define the categorize component parameters.
"""
def __init__(self):
super().__init__()
@ -80,7 +80,7 @@ Here's description of each category:
- Prioritize the most specific applicable category
- Return only the category name without explanations
- Use "Other" only when no other category fits
""".format(
"\n - ".join(list(self.category_description.keys())),
"\n".join(descriptions)
@ -96,7 +96,7 @@ Here's description of each category:
class Categorize(LLM, ABC):
component_name = "Categorize"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 10*60))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 10*60)))
def _invoke(self, **kwargs):
msg = self._canvas.get_history(self._param.message_history_window_size)
if not msg:
@ -112,7 +112,7 @@ class Categorize(LLM, ABC):
user_prompt = """
---- Real Data ----
{}
{}
""".format(" | ".join(["{}: \"{}\"".format(c["role"].upper(), re.sub(r"\n", "", c["content"], flags=re.DOTALL)) for c in msg]))
ans = chat_mdl.chat(self._param.sys_prompt, [{"role": "user", "content": user_prompt}], self._param.gen_conf())
logging.info(f"input: {user_prompt}, answer: {str(ans)}")
@ -134,4 +134,4 @@ class Categorize(LLM, ABC):
self.set_output("_next", cpn_ids)
def thoughts(self) -> str:
return "Which should it falls into {}? ...".format(",".join([f"`{c}`" for c, _ in self._param.category_description.items()]))
return "Which should it falls into {}? ...".format(",".join([f"`{c}`" for c, _ in self._param.category_description.items()]))

View File

@ -19,11 +19,12 @@ import os
import re
import time
from abc import ABC
import requests
from agent.component.base import ComponentBase, ComponentParamBase
from api.utils.api_utils import timeout
from deepdoc.parser import HtmlParser
from agent.component.base import ComponentBase, ComponentParamBase
class InvokeParam(ComponentParamBase):
@ -43,17 +44,17 @@ class InvokeParam(ComponentParamBase):
self.datatype = "json" # New parameter to determine data posting type
def check(self):
self.check_valid_value(self.method.lower(), "Type of content from the crawler", ['get', 'post', 'put'])
self.check_valid_value(self.method.lower(), "Type of content from the crawler", ["get", "post", "put"])
self.check_empty(self.url, "End point URL")
self.check_positive_integer(self.timeout, "Timeout time in second")
self.check_boolean(self.clean_html, "Clean HTML")
self.check_valid_value(self.datatype.lower(), "Data post type", ['json', 'formdata']) # Check for valid datapost value
self.check_valid_value(self.datatype.lower(), "Data post type", ["json", "formdata"]) # Check for valid datapost value
class Invoke(ComponentBase, ABC):
component_name = "Invoke"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 3))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 3)))
def _invoke(self, **kwargs):
args = {}
for para in self._param.variables:
@ -63,6 +64,18 @@ class Invoke(ComponentBase, ABC):
args[para["key"]] = self._canvas.get_variable_value(para["ref"])
url = self._param.url.strip()
def replace_variable(match):
var_name = match.group(1)
try:
value = self._canvas.get_variable_value(var_name)
return str(value or "")
except Exception:
return ""
# {base_url} or {component_id@variable_name}
url = re.sub(r"\{([a-zA-Z_][a-zA-Z0-9_.@-]*)\}", replace_variable, url)
if url.find("http") != 0:
url = "http://" + url
@ -75,52 +88,32 @@ class Invoke(ComponentBase, ABC):
proxies = {"http": self._param.proxy, "https": self._param.proxy}
last_e = ""
for _ in range(self._param.max_retries+1):
for _ in range(self._param.max_retries + 1):
try:
if method == 'get':
response = requests.get(url=url,
params=args,
headers=headers,
proxies=proxies,
timeout=self._param.timeout)
if method == "get":
response = requests.get(url=url, params=args, headers=headers, proxies=proxies, timeout=self._param.timeout)
if self._param.clean_html:
sections = HtmlParser()(None, response.content)
self.set_output("result", "\n".join(sections))
else:
self.set_output("result", response.text)
if method == 'put':
if self._param.datatype.lower() == 'json':
response = requests.put(url=url,
json=args,
headers=headers,
proxies=proxies,
timeout=self._param.timeout)
if method == "put":
if self._param.datatype.lower() == "json":
response = requests.put(url=url, json=args, headers=headers, proxies=proxies, timeout=self._param.timeout)
else:
response = requests.put(url=url,
data=args,
headers=headers,
proxies=proxies,
timeout=self._param.timeout)
response = requests.put(url=url, data=args, headers=headers, proxies=proxies, timeout=self._param.timeout)
if self._param.clean_html:
sections = HtmlParser()(None, response.content)
self.set_output("result", "\n".join(sections))
else:
self.set_output("result", response.text)
if method == 'post':
if self._param.datatype.lower() == 'json':
response = requests.post(url=url,
json=args,
headers=headers,
proxies=proxies,
timeout=self._param.timeout)
if method == "post":
if self._param.datatype.lower() == "json":
response = requests.post(url=url, json=args, headers=headers, proxies=proxies, timeout=self._param.timeout)
else:
response = requests.post(url=url,
data=args,
headers=headers,
proxies=proxies,
timeout=self._param.timeout)
response = requests.post(url=url, data=args, headers=headers, proxies=proxies, timeout=self._param.timeout)
if self._param.clean_html:
self.set_output("result", "\n".join(sections))
else:

View File

@ -26,8 +26,7 @@ from api.db.services.llm_service import LLMBundle
from api.db.services.tenant_llm_service import TenantLLMService
from agent.component.base import ComponentBase, ComponentParamBase
from api.utils.api_utils import timeout
from rag.prompts import message_fit_in, citation_prompt
from rag.prompts.prompts import tool_call_summary
from rag.prompts.generator import tool_call_summary, message_fit_in, citation_prompt
class LLMParam(ComponentParamBase):
@ -82,9 +81,9 @@ class LLMParam(ComponentParamBase):
class LLM(ComponentBase):
component_name = "LLM"
def __init__(self, canvas, id, param: ComponentParamBase):
super().__init__(canvas, id, param)
def __init__(self, canvas, component_id, param: ComponentParamBase):
super().__init__(canvas, component_id, param)
self.chat_mdl = LLMBundle(self._canvas.get_tenant_id(), TenantLLMService.llm_id2llm_type(self._param.llm_id),
self._param.llm_id, max_retries=self._param.max_retries,
retry_interval=self._param.delay_after_error
@ -102,6 +101,8 @@ class LLM(ComponentBase):
def get_input_elements(self) -> dict[str, Any]:
res = self.get_input_elements_from_text(self._param.sys_prompt)
if isinstance(self._param.prompts, str):
self._param.prompts = [{"role": "user", "content": self._param.prompts}]
for prompt in self._param.prompts:
d = self.get_input_elements_from_text(prompt["content"])
res.update(d)
@ -113,6 +114,17 @@ class LLM(ComponentBase):
def add2system_prompt(self, txt):
self._param.sys_prompt += txt
def _sys_prompt_and_msg(self, msg, args):
if isinstance(self._param.prompts, str):
self._param.prompts = [{"role": "user", "content": self._param.prompts}]
for p in self._param.prompts:
if msg and msg[-1]["role"] == p["role"]:
continue
p = deepcopy(p)
p["content"] = self.string_format(p["content"], args)
msg.append(p)
return msg, self.string_format(self._param.sys_prompt, args)
def _prepare_prompt_variables(self):
if self._param.visual_files_var:
self.imgs = self._canvas.get_variable_value(self._param.visual_files_var)
@ -128,7 +140,6 @@ class LLM(ComponentBase):
args = {}
vars = self.get_input_elements() if not self._param.debug_inputs else self._param.debug_inputs
sys_prompt = self._param.sys_prompt
for k, o in vars.items():
args[k] = o["value"]
if not isinstance(args[k], str):
@ -138,16 +149,8 @@ class LLM(ComponentBase):
args[k] = str(args[k])
self.set_input_value(k, args[k])
msg = self._canvas.get_history(self._param.message_history_window_size)[:-1]
for p in self._param.prompts:
if msg and msg[-1]["role"] == p["role"]:
continue
msg.append(deepcopy(p))
sys_prompt = self.string_format(sys_prompt, args)
msg, sys_prompt = self._sys_prompt_and_msg(self._canvas.get_history(self._param.message_history_window_size)[:-1], args)
user_defined_prompt, sys_prompt = self._extract_prompts(sys_prompt)
for m in msg:
m["content"] = self.string_format(m["content"], args)
if self._param.cite and self._canvas.get_reference()["chunks"]:
sys_prompt += citation_prompt(user_defined_prompt)
@ -202,7 +205,7 @@ class LLM(ComponentBase):
for txt in self.chat_mdl.chat_streamly(msg[0]["content"], msg[1:], self._param.gen_conf(), images=self.imgs, **kwargs):
yield delta(txt)
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 10*60))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 10*60)))
def _invoke(self, **kwargs):
def clean_formated_answer(ans: str) -> str:
ans = re.sub(r"^.*</think>", "", ans, flags=re.DOTALL)
@ -210,7 +213,7 @@ class LLM(ComponentBase):
return re.sub(r"```\n*$", "", ans, flags=re.DOTALL)
prompt, msg, _ = self._prepare_prompt_variables()
error = ""
error: str = ""
if self._param.output_structure:
prompt += "\nThe output MUST follow this JSON format:\n"+json.dumps(self._param.output_structure, ensure_ascii=False, indent=2)

View File

@ -49,7 +49,7 @@ class MessageParam(ComponentParamBase):
class Message(ComponentBase):
component_name = "Message"
def get_kwargs(self, script:str, kwargs:dict = {}, delimeter:str=None) -> tuple[str, dict[str, str | list | Any]]:
def get_kwargs(self, script:str, kwargs:dict = {}, delimiter:str=None) -> tuple[str, dict[str, str | list | Any]]:
for k,v in self.get_input_elements_from_text(script).items():
if k in kwargs:
continue
@ -60,8 +60,8 @@ class Message(ComponentBase):
if isinstance(v, partial):
for t in v():
ans += t
elif isinstance(v, list) and delimeter:
ans = delimeter.join([str(vv) for vv in v])
elif isinstance(v, list) and delimiter:
ans = delimiter.join([str(vv) for vv in v])
elif not isinstance(v, str):
try:
ans = json.dumps(v, ensure_ascii=False)
@ -127,7 +127,7 @@ class Message(ComponentBase):
]
return any([re.search(p, content) for p in patt])
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 10*60))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 10*60)))
def _invoke(self, **kwargs):
rand_cnt = random.choice(self._param.content)
if self._param.stream and not self._is_jinjia2(rand_cnt):

View File

@ -56,7 +56,7 @@ class StringTransform(Message, ABC):
"type": "line"
} for k, o in self.get_input_elements_from_text(self._param.script).items()}
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 10*60))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 10*60)))
def _invoke(self, **kwargs):
if self._param.method == "split":
self._split(kwargs.get("line"))
@ -90,7 +90,7 @@ class StringTransform(Message, ABC):
for k,v in kwargs.items():
if not v:
v = ""
script = re.sub(k, v, script)
script = re.sub(k, lambda match: v, script)
self.set_output("result", script)

View File

@ -61,7 +61,7 @@ class SwitchParam(ComponentParamBase):
class Switch(ComponentBase, ABC):
component_name = "Switch"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 3))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 3)))
def _invoke(self, **kwargs):
for cond in self._param.conditions:
res = []

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View File

@ -83,7 +83,7 @@
},
"password": "20010812Yy!",
"port": 3306,
"sql": "Agent:WickedGoatsDivide@content",
"sql": "{Agent:WickedGoatsDivide@content}",
"username": "13637682833@163.com"
}
},
@ -114,9 +114,7 @@
"params": {
"cross_languages": [],
"empty_response": "",
"kb_ids": [
"ed31364c727211f0bdb2bafe6e7908e6"
],
"kb_ids": [],
"keywords_similarity_weight": 0.7,
"outputs": {
"formalized_content": {
@ -124,7 +122,7 @@
"value": ""
}
},
"query": "sys.query",
"query": "{sys.query}",
"rerank_id": "",
"similarity_threshold": 0.2,
"top_k": 1024,
@ -145,9 +143,7 @@
"params": {
"cross_languages": [],
"empty_response": "",
"kb_ids": [
"0f968106727311f08357bafe6e7908e6"
],
"kb_ids": [],
"keywords_similarity_weight": 0.7,
"outputs": {
"formalized_content": {
@ -155,7 +151,7 @@
"value": ""
}
},
"query": "sys.query",
"query": "{sys.query}",
"rerank_id": "",
"similarity_threshold": 0.2,
"top_k": 1024,
@ -176,9 +172,7 @@
"params": {
"cross_languages": [],
"empty_response": "",
"kb_ids": [
"4ad1f9d0727311f0827dbafe6e7908e6"
],
"kb_ids": [],
"keywords_similarity_weight": 0.7,
"outputs": {
"formalized_content": {
@ -186,7 +180,7 @@
"value": ""
}
},
"query": "sys.query",
"query": "{sys.query}",
"rerank_id": "",
"similarity_threshold": 0.2,
"top_k": 1024,
@ -347,9 +341,7 @@
"form": {
"cross_languages": [],
"empty_response": "",
"kb_ids": [
"ed31364c727211f0bdb2bafe6e7908e6"
],
"kb_ids": [],
"keywords_similarity_weight": 0.7,
"outputs": {
"formalized_content": {
@ -357,7 +349,7 @@
"value": ""
}
},
"query": "sys.query",
"query": "{sys.query}",
"rerank_id": "",
"similarity_threshold": 0.2,
"top_k": 1024,
@ -387,9 +379,7 @@
"form": {
"cross_languages": [],
"empty_response": "",
"kb_ids": [
"0f968106727311f08357bafe6e7908e6"
],
"kb_ids": [],
"keywords_similarity_weight": 0.7,
"outputs": {
"formalized_content": {
@ -397,7 +387,7 @@
"value": ""
}
},
"query": "sys.query",
"query": "{sys.query}",
"rerank_id": "",
"similarity_threshold": 0.2,
"top_k": 1024,
@ -427,9 +417,7 @@
"form": {
"cross_languages": [],
"empty_response": "",
"kb_ids": [
"4ad1f9d0727311f0827dbafe6e7908e6"
],
"kb_ids": [],
"keywords_similarity_weight": 0.7,
"outputs": {
"formalized_content": {
@ -437,7 +425,7 @@
"value": ""
}
},
"query": "sys.query",
"query": "{sys.query}",
"rerank_id": "",
"similarity_threshold": 0.2,
"top_k": 1024,
@ -539,7 +527,7 @@
},
"password": "20010812Yy!",
"port": 3306,
"sql": "Agent:WickedGoatsDivide@content",
"sql": "{Agent:WickedGoatsDivide@content}",
"username": "13637682833@163.com"
},
"label": "ExeSQL",

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View File

@ -61,7 +61,7 @@ class ArXivParam(ToolParamBase):
class ArXiv(ToolBase, ABC):
component_name = "ArXiv"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12)))
def _invoke(self, **kwargs):
if not kwargs.get("query"):
self.set_output("formalized_content", "")
@ -97,6 +97,6 @@ class ArXiv(ToolBase, ABC):
def thoughts(self) -> str:
return """
Keywords: {}
Keywords: {}
Looking for the most relevant articles.
""".format(self.get_input().get("query", "-_-!"))
""".format(self.get_input().get("query", "-_-!"))

View File

@ -22,7 +22,7 @@ from typing import TypedDict, List, Any
from agent.component.base import ComponentParamBase, ComponentBase
from api.utils import hash_str2int
from rag.llm.chat_model import ToolCallSession
from rag.prompts.prompts import kb_prompt
from rag.prompts.generator import kb_prompt
from rag.utils.mcp_tool_call_conn import MCPToolCallSession
from timeit import default_timer as timer

View File

@ -129,7 +129,7 @@ module.exports = { main };
class CodeExec(ToolBase, ABC):
component_name = "CodeExec"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 10*60))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 10*60)))
def _invoke(self, **kwargs):
lang = kwargs.get("lang", self._param.lang)
script = kwargs.get("script", self._param.script)
@ -156,8 +156,8 @@ class CodeExec(ToolBase, ABC):
self.set_output("_ERROR", "construct code request error: " + str(e))
try:
resp = requests.post(url=f"http://{settings.SANDBOX_HOST}:9385/run", json=code_req, timeout=os.environ.get("COMPONENT_EXEC_TIMEOUT", 10*60))
logging.info(f"http://{settings.SANDBOX_HOST}:9385/run", code_req, resp.status_code)
resp = requests.post(url=f"http://{settings.SANDBOX_HOST}:9385/run", json=code_req, timeout=int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 10*60)))
logging.info(f"http://{settings.SANDBOX_HOST}:9385/run, code_req: {code_req}, resp.status_code {resp.status_code}:")
if resp.status_code != 200:
resp.raise_for_status()
body = resp.json()

View File

@ -73,7 +73,7 @@ class DuckDuckGoParam(ToolParamBase):
class DuckDuckGo(ToolBase, ABC):
component_name = "DuckDuckGo"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12)))
def _invoke(self, **kwargs):
if not kwargs.get("query"):
self.set_output("formalized_content", "")
@ -115,6 +115,6 @@ class DuckDuckGo(ToolBase, ABC):
def thoughts(self) -> str:
return """
Keywords: {}
Keywords: {}
Looking for the most relevant articles.
""".format(self.get_input().get("query", "-_-!"))
""".format(self.get_input().get("query", "-_-!"))

View File

@ -98,8 +98,8 @@ class EmailParam(ToolParamBase):
class Email(ToolBase, ABC):
component_name = "Email"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 60))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 60)))
def _invoke(self, **kwargs):
if not kwargs.get("to_email"):
self.set_output("success", False)
@ -212,4 +212,4 @@ class Email(ToolBase, ABC):
To: {}
Subject: {}
Your email is on its way—sit tight!
""".format(inputs.get("to_email", "-_-!"), inputs.get("subject", "-_-!"))
""".format(inputs.get("to_email", "-_-!"), inputs.get("subject", "-_-!"))

View File

@ -53,12 +53,13 @@ class ExeSQLParam(ToolParamBase):
self.max_records = 1024
def check(self):
self.check_valid_value(self.db_type, "Choose DB type", ['mysql', 'postgresql', 'mariadb', 'mssql'])
self.check_valid_value(self.db_type, "Choose DB type", ['mysql', 'postgres', 'mariadb', 'mssql', 'IBM DB2', 'trino'])
self.check_empty(self.database, "Database name")
self.check_empty(self.username, "database username")
self.check_empty(self.host, "IP Address")
self.check_positive_integer(self.port, "IP Port")
self.check_empty(self.password, "Database password")
if self.db_type != "trino":
self.check_empty(self.password, "Database password")
self.check_positive_integer(self.max_records, "Maximum number of records")
if self.database == "rag_flow":
if self.host == "ragflow-mysql":
@ -78,7 +79,7 @@ class ExeSQLParam(ToolParamBase):
class ExeSQL(ToolBase, ABC):
component_name = "ExeSQL"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 60))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 60)))
def _invoke(self, **kwargs):
def convert_decimals(obj):
@ -111,7 +112,7 @@ class ExeSQL(ToolBase, ABC):
if self._param.db_type in ["mysql", "mariadb"]:
db = pymysql.connect(db=self._param.database, user=self._param.username, host=self._param.host,
port=self._param.port, password=self._param.password)
elif self._param.db_type == 'postgresql':
elif self._param.db_type == 'postgres':
db = psycopg2.connect(dbname=self._param.database, user=self._param.username, host=self._param.host,
port=self._param.port, password=self._param.password)
elif self._param.db_type == 'mssql':
@ -123,6 +124,94 @@ class ExeSQL(ToolBase, ABC):
r'PWD=' + self._param.password
)
db = pyodbc.connect(conn_str)
elif self._param.db_type == 'trino':
try:
import trino
from trino.auth import BasicAuthentication
except Exception:
raise Exception("Missing dependency 'trino'. Please install: pip install trino")
def _parse_catalog_schema(db: str):
if not db:
return None, None
if "." in db:
c, s = db.split(".", 1)
elif "/" in db:
c, s = db.split("/", 1)
else:
c, s = db, "default"
return c, s
catalog, schema = _parse_catalog_schema(self._param.database)
if not catalog:
raise Exception("For Trino, `database` must be 'catalog.schema' or at least 'catalog'.")
http_scheme = "https" if os.environ.get("TRINO_USE_TLS", "0") == "1" else "http"
auth = None
if http_scheme == "https" and self._param.password:
auth = BasicAuthentication(self._param.username, self._param.password)
try:
db = trino.dbapi.connect(
host=self._param.host,
port=int(self._param.port or 8080),
user=self._param.username or "ragflow",
catalog=catalog,
schema=schema or "default",
http_scheme=http_scheme,
auth=auth
)
except Exception as e:
raise Exception("Database Connection Failed! \n" + str(e))
elif self._param.db_type == 'IBM DB2':
import ibm_db
conn_str = (
f"DATABASE={self._param.database};"
f"HOSTNAME={self._param.host};"
f"PORT={self._param.port};"
f"PROTOCOL=TCPIP;"
f"UID={self._param.username};"
f"PWD={self._param.password};"
)
try:
conn = ibm_db.connect(conn_str, "", "")
except Exception as e:
raise Exception("Database Connection Failed! \n" + str(e))
sql_res = []
formalized_content = []
for single_sql in sqls:
single_sql = single_sql.replace("```", "").strip()
if not single_sql:
continue
single_sql = re.sub(r"\[ID:[0-9]+\]", "", single_sql)
stmt = ibm_db.exec_immediate(conn, single_sql)
rows = []
row = ibm_db.fetch_assoc(stmt)
while row and len(rows) < self._param.max_records:
rows.append(row)
row = ibm_db.fetch_assoc(stmt)
if not rows:
sql_res.append({"content": "No record in the database!"})
continue
df = pd.DataFrame(rows)
for col in df.columns:
if pd.api.types.is_datetime64_any_dtype(df[col]):
df[col] = df[col].dt.strftime("%Y-%m-%d")
df = df.where(pd.notnull(df), None)
sql_res.append(convert_decimals(df.to_dict(orient="records")))
formalized_content.append(df.to_markdown(index=False, floatfmt=".6f"))
ibm_db.close(conn)
self.set_output("json", sql_res)
self.set_output("formalized_content", "\n\n".join(formalized_content))
return self.output("formalized_content")
try:
cursor = db.cursor()
except Exception as e:
@ -150,6 +239,8 @@ class ExeSQL(ToolBase, ABC):
if pd.api.types.is_datetime64_any_dtype(single_res[col]):
single_res[col] = single_res[col].dt.strftime('%Y-%m-%d')
single_res = single_res.where(pd.notnull(single_res), None)
sql_res.append(convert_decimals(single_res.to_dict(orient='records')))
formalized_content.append(single_res.to_markdown(index=False, floatfmt=".6f"))

View File

@ -57,7 +57,7 @@ class GitHubParam(ToolParamBase):
class GitHub(ToolBase, ABC):
component_name = "GitHub"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12)))
def _invoke(self, **kwargs):
if not kwargs.get("query"):
self.set_output("formalized_content", "")
@ -88,4 +88,4 @@ class GitHub(ToolBase, ABC):
assert False, self.output()
def thoughts(self) -> str:
return "Scanning GitHub repos related to `{}`.".format(self.get_input().get("query", "-_-!"))
return "Scanning GitHub repos related to `{}`.".format(self.get_input().get("query", "-_-!"))

View File

@ -116,7 +116,7 @@ class GoogleParam(ToolParamBase):
class Google(ToolBase, ABC):
component_name = "Google"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12)))
def _invoke(self, **kwargs):
if not kwargs.get("q"):
self.set_output("formalized_content", "")
@ -154,6 +154,6 @@ class Google(ToolBase, ABC):
def thoughts(self) -> str:
return """
Keywords: {}
Keywords: {}
Looking for the most relevant articles.
""".format(self.get_input().get("query", "-_-!"))
""".format(self.get_input().get("query", "-_-!"))

View File

@ -63,7 +63,7 @@ class GoogleScholarParam(ToolParamBase):
class GoogleScholar(ToolBase, ABC):
component_name = "GoogleScholar"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12)))
def _invoke(self, **kwargs):
if not kwargs.get("query"):
self.set_output("formalized_content", "")
@ -93,4 +93,4 @@ class GoogleScholar(ToolBase, ABC):
assert False, self.output()
def thoughts(self) -> str:
return "Looking for scholarly papers on `{}`,” prioritising reputable sources.".format(self.get_input().get("query", "-_-!"))
return "Looking for scholarly papers on `{}`,” prioritising reputable sources.".format(self.get_input().get("query", "-_-!"))

View File

@ -33,7 +33,7 @@ class PubMedParam(ToolParamBase):
self.meta:ToolMeta = {
"name": "pubmed_search",
"description": """
PubMed is an openly accessible, free database which includes primarily the MEDLINE database of references and abstracts on life sciences and biomedical topics.
PubMed is an openly accessible, free database which includes primarily the MEDLINE database of references and abstracts on life sciences and biomedical topics.
In addition to MEDLINE, PubMed provides access to:
- older references from the print version of Index Medicus, back to 1951 and earlier
- references to some journals before they were indexed in Index Medicus and MEDLINE, for instance Science, BMJ, and Annals of Surgery
@ -69,7 +69,7 @@ In addition to MEDLINE, PubMed provides access to:
class PubMed(ToolBase, ABC):
component_name = "PubMed"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12)))
def _invoke(self, **kwargs):
if not kwargs.get("query"):
self.set_output("formalized_content", "")
@ -85,13 +85,7 @@ class PubMed(ToolBase, ABC):
self._retrieve_chunks(pubmedcnt.findall("PubmedArticle"),
get_title=lambda child: child.find("MedlineCitation").find("Article").find("ArticleTitle").text,
get_url=lambda child: "https://pubmed.ncbi.nlm.nih.gov/" + child.find("MedlineCitation").find("PMID").text,
get_content=lambda child: child.find("MedlineCitation") \
.find("Article") \
.find("Abstract") \
.find("AbstractText").text \
if child.find("MedlineCitation")\
.find("Article").find("Abstract") \
else "No abstract available")
get_content=lambda child: self._format_pubmed_content(child),)
return self.output("formalized_content")
except Exception as e:
last_e = e
@ -104,5 +98,50 @@ class PubMed(ToolBase, ABC):
assert False, self.output()
def _format_pubmed_content(self, child):
"""Extract structured reference info from PubMed XML"""
def safe_find(path):
node = child
for p in path.split("/"):
if node is None:
return None
node = node.find(p)
return node.text if node is not None and node.text else None
title = safe_find("MedlineCitation/Article/ArticleTitle") or "No title"
abstract = safe_find("MedlineCitation/Article/Abstract/AbstractText") or "No abstract available"
journal = safe_find("MedlineCitation/Article/Journal/Title") or "Unknown Journal"
volume = safe_find("MedlineCitation/Article/Journal/JournalIssue/Volume") or "-"
issue = safe_find("MedlineCitation/Article/Journal/JournalIssue/Issue") or "-"
pages = safe_find("MedlineCitation/Article/Pagination/MedlinePgn") or "-"
# Authors
authors = []
for author in child.findall(".//AuthorList/Author"):
lastname = safe_find("LastName") or ""
forename = safe_find("ForeName") or ""
fullname = f"{forename} {lastname}".strip()
if fullname:
authors.append(fullname)
authors_str = ", ".join(authors) if authors else "Unknown Authors"
# DOI
doi = None
for eid in child.findall(".//ArticleId"):
if eid.attrib.get("IdType") == "doi":
doi = eid.text
break
return (
f"Title: {title}\n"
f"Authors: {authors_str}\n"
f"Journal: {journal}\n"
f"Volume: {volume}\n"
f"Issue: {issue}\n"
f"Pages: {pages}\n"
f"DOI: {doi or '-'}\n"
f"Abstract: {abstract.strip()}"
)
def thoughts(self) -> str:
return "Looking for scholarly papers on `{}`,” prioritising reputable sources.".format(self.get_input().get("query", "-_-!"))
return "Looking for scholarly papers on `{}`,” prioritising reputable sources.".format(self.get_input().get("query", "-_-!"))

View File

@ -18,13 +18,14 @@ import re
from abc import ABC
from agent.tools.base import ToolParamBase, ToolBase, ToolMeta
from api.db import LLMType
from api.db.services.document_service import DocumentService
from api.db.services.dialog_service import meta_filter
from api.db.services.knowledgebase_service import KnowledgebaseService
from api.db.services.llm_service import LLMBundle
from api import settings
from api.utils.api_utils import timeout
from rag.app.tag import label_question
from rag.prompts import kb_prompt
from rag.prompts.prompts import cross_languages
from rag.prompts.generator import cross_languages, kb_prompt, gen_meta_filter
class RetrievalParam(ToolParamBase):
@ -58,6 +59,8 @@ class RetrievalParam(ToolParamBase):
self.empty_response = ""
self.use_kg = False
self.cross_languages = []
self.toc_enhance = False
self.meta_data_filter={}
def check(self):
self.check_decimal_float(self.similarity_threshold, "[Retrieval] Similarity threshold")
@ -75,7 +78,7 @@ class RetrievalParam(ToolParamBase):
class Retrieval(ToolBase, ABC):
component_name = "Retrieval"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12)))
def _invoke(self, **kwargs):
if not kwargs.get("query"):
self.set_output("formalized_content", self._param.empty_response)
@ -117,12 +120,27 @@ class Retrieval(ToolBase, ABC):
vars = self.get_input_elements_from_text(kwargs["query"])
vars = {k:o["value"] for k,o in vars.items()}
query = self.string_format(kwargs["query"], vars)
doc_ids=[]
if self._param.meta_data_filter!={}:
metas = DocumentService.get_meta_by_kbs(kb_ids)
if self._param.meta_data_filter.get("method") == "auto":
chat_mdl = LLMBundle(self._canvas.get_tenant_id(), LLMType.CHAT)
filters = gen_meta_filter(chat_mdl, metas, query)
doc_ids.extend(meta_filter(metas, filters))
if not doc_ids:
doc_ids = None
elif self._param.meta_data_filter.get("method") == "manual":
doc_ids.extend(meta_filter(metas, self._param.meta_data_filter["manual"]))
if not doc_ids:
doc_ids = None
if self._param.cross_languages:
query = cross_languages(kbs[0].tenant_id, None, query, self._param.cross_languages)
if kbs:
query = re.sub(r"^user[:\s]*", "", query, flags=re.IGNORECASE)
kbinfos = settings.retrievaler.retrieval(
kbinfos = settings.retriever.retrieval(
query,
embd_mdl,
[kb.tenant_id for kb in kbs],
@ -131,12 +149,18 @@ class Retrieval(ToolBase, ABC):
self._param.top_n,
self._param.similarity_threshold,
1 - self._param.keywords_similarity_weight,
doc_ids=doc_ids,
aggs=False,
rerank_mdl=rerank_mdl,
rank_feature=label_question(query, kbs),
)
if self._param.toc_enhance:
chat_mdl = LLMBundle(self._canvas._tenant_id, LLMType.CHAT)
cks = settings.retriever.retrieval_by_toc(query, kbinfos["chunks"], [kb.tenant_id for kb in kbs], chat_mdl, self._param.top_n)
if cks:
kbinfos["chunks"] = cks
if self._param.use_kg:
ck = settings.kg_retrievaler.retrieval(query,
ck = settings.kg_retriever.retrieval(query,
[kb.tenant_id for kb in kbs],
kb_ids,
embd_mdl,
@ -147,7 +171,7 @@ class Retrieval(ToolBase, ABC):
kbinfos = {"chunks": [], "doc_aggs": []}
if self._param.use_kg and kbs:
ck = settings.kg_retrievaler.retrieval(query, [kb.tenant_id for kb in kbs], filtered_kb_ids, embd_mdl, LLMBundle(kbs[0].tenant_id, LLMType.CHAT))
ck = settings.kg_retriever.retrieval(query, [kb.tenant_id for kb in kbs], filtered_kb_ids, embd_mdl, LLMBundle(kbs[0].tenant_id, LLMType.CHAT))
if ck["content_with_weight"]:
ck["content"] = ck["content_with_weight"]
del ck["content_with_weight"]
@ -163,13 +187,20 @@ class Retrieval(ToolBase, ABC):
self.set_output("formalized_content", self._param.empty_response)
return
# Format the chunks for JSON output (similar to how other tools do it)
json_output = kbinfos["chunks"].copy()
self._canvas.add_reference(kbinfos["chunks"], kbinfos["doc_aggs"])
form_cnt = "\n".join(kb_prompt(kbinfos, 200000, True))
# Set both formalized content and JSON output
self.set_output("formalized_content", form_cnt)
self.set_output("json", json_output)
return form_cnt
def thoughts(self) -> str:
return """
Keywords: {}
Keywords: {}
Looking for the most relevant articles.
""".format(self.get_input().get("query", "-_-!"))
""".format(self.get_input().get("query", "-_-!"))

View File

@ -77,7 +77,7 @@ class SearXNGParam(ToolParamBase):
class SearXNG(ToolBase, ABC):
component_name = "SearXNG"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12)))
def _invoke(self, **kwargs):
# Gracefully handle try-run without inputs
query = kwargs.get("query")
@ -85,7 +85,7 @@ class SearXNG(ToolBase, ABC):
self.set_output("formalized_content", "")
return ""
searxng_url = (kwargs.get("searxng_url") or getattr(self._param, "searxng_url", "") or "").strip()
searxng_url = (getattr(self._param, "searxng_url", "") or kwargs.get("searxng_url") or "").strip()
# In try-run, if no URL configured, just return empty instead of raising
if not searxng_url:
self.set_output("formalized_content", "")
@ -94,7 +94,6 @@ class SearXNG(ToolBase, ABC):
last_e = ""
for _ in range(self._param.max_retries+1):
try:
# 构建搜索参数
search_params = {
'q': query,
'format': 'json',
@ -104,33 +103,29 @@ class SearXNG(ToolBase, ABC):
'pageno': 1
}
# 发送搜索请求
response = requests.get(
f"{searxng_url}/search",
params=search_params,
timeout=10
)
response.raise_for_status()
data = response.json()
# 验证响应数据
if not data or not isinstance(data, dict):
raise ValueError("Invalid response from SearXNG")
results = data.get("results", [])
if not isinstance(results, list):
raise ValueError("Invalid results format from SearXNG")
# 限制结果数量
results = results[:self._param.top_n]
# 处理搜索结果
self._retrieve_chunks(results,
get_title=lambda r: r.get("title", ""),
get_url=lambda r: r.get("url", ""),
get_content=lambda r: r.get("content", ""))
self.set_output("json", results)
return self.output("formalized_content")
@ -151,6 +146,6 @@ class SearXNG(ToolBase, ABC):
def thoughts(self) -> str:
return """
Keywords: {}
Keywords: {}
Searching with SearXNG for relevant results...
""".format(self.get_input().get("query", "-_-!"))

View File

@ -31,7 +31,7 @@ class TavilySearchParam(ToolParamBase):
self.meta:ToolMeta = {
"name": "tavily_search",
"description": """
Tavily is a search engine optimized for LLMs, aimed at efficient, quick and persistent search results.
Tavily is a search engine optimized for LLMs, aimed at efficient, quick and persistent search results.
When searching:
- Start with specific query which should focus on just a single aspect.
- Number of keywords in query should be less than 5.
@ -101,7 +101,7 @@ When searching:
class TavilySearch(ToolBase, ABC):
component_name = "TavilySearch"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12)))
def _invoke(self, **kwargs):
if not kwargs.get("query"):
self.set_output("formalized_content", "")
@ -136,7 +136,7 @@ class TavilySearch(ToolBase, ABC):
def thoughts(self) -> str:
return """
Keywords: {}
Keywords: {}
Looking for the most relevant articles.
""".format(self.get_input().get("query", "-_-!"))
@ -199,7 +199,7 @@ class TavilyExtractParam(ToolParamBase):
class TavilyExtract(ToolBase, ABC):
component_name = "TavilyExtract"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 10*60))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 10*60)))
def _invoke(self, **kwargs):
self.tavily_client = TavilyClient(api_key=self._param.api_key)
last_e = None
@ -224,4 +224,4 @@ class TavilyExtract(ToolBase, ABC):
assert False, self.output()
def thoughts(self) -> str:
return "Opened {}—pulling out the main text…".format(self.get_input().get("urls", "-_-!"))
return "Opened {}—pulling out the main text…".format(self.get_input().get("urls", "-_-!"))

View File

@ -68,7 +68,7 @@ fund selection platform: through AI technology, is committed to providing excell
class WenCai(ToolBase, ABC):
component_name = "WenCai"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 12)))
def _invoke(self, **kwargs):
if not kwargs.get("query"):
self.set_output("report", "")
@ -111,4 +111,4 @@ class WenCai(ToolBase, ABC):
assert False, self.output()
def thoughts(self) -> str:
return "Pulling live financial data for `{}`.".format(self.get_input().get("query", "-_-!"))
return "Pulling live financial data for `{}`.".format(self.get_input().get("query", "-_-!"))

View File

@ -64,7 +64,7 @@ class WikipediaParam(ToolParamBase):
class Wikipedia(ToolBase, ABC):
component_name = "Wikipedia"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 60))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 60)))
def _invoke(self, **kwargs):
if not kwargs.get("query"):
self.set_output("formalized_content", "")
@ -99,6 +99,6 @@ class Wikipedia(ToolBase, ABC):
def thoughts(self) -> str:
return """
Keywords: {}
Keywords: {}
Looking for the most relevant articles.
""".format(self.get_input().get("query", "-_-!"))
""".format(self.get_input().get("query", "-_-!"))

View File

@ -72,7 +72,7 @@ class YahooFinanceParam(ToolParamBase):
class YahooFinance(ToolBase, ABC):
component_name = "YahooFinance"
@timeout(os.environ.get("COMPONENT_EXEC_TIMEOUT", 60))
@timeout(int(os.environ.get("COMPONENT_EXEC_TIMEOUT", 60)))
def _invoke(self, **kwargs):
if not kwargs.get("stock_code"):
self.set_output("report", "")
@ -111,4 +111,4 @@ class YahooFinance(ToolBase, ABC):
assert False, self.output()
def thoughts(self) -> str:
return "Pulling live financial data for `{}`.".format(self.get_input().get("stock_code", "-_-!"))
return "Pulling live financial data for `{}`.".format(self.get_input().get("stock_code", "-_-!"))

View File

@ -27,7 +27,8 @@ from itsdangerous.url_safe import URLSafeTimedSerializer as Serializer
from api.db import StatusEnum
from api.db.db_models import close_connection
from api.db.services import UserService
from api.utils import CustomJSONEncoder, commands
from api.utils.json import CustomJSONEncoder
from api.utils import commands
from flask_mail import Mail
from flask_session import Session

View File

@ -39,7 +39,7 @@ from api.utils.api_utils import server_error_response, get_data_error_result, ge
from api.utils.file_utils import filename_type, thumbnail
from rag.app.tag import label_question
from rag.prompts import keyword_extraction
from rag.prompts.generator import keyword_extraction
from rag.utils.storage_factory import STORAGE_IMPL
from api.db.services.canvas_service import UserCanvasService
@ -536,7 +536,7 @@ def list_chunks():
)
kb_ids = KnowledgebaseService.get_kb_ids(tenant_id)
res = settings.retrievaler.chunk_list(doc_id, tenant_id, kb_ids)
res = settings.retriever.chunk_list(doc_id, tenant_id, kb_ids)
res = [
{
"content": res_item["content_with_weight"],
@ -884,7 +884,7 @@ def retrieval():
if req.get("keyword", False):
chat_mdl = LLMBundle(kbs[0].tenant_id, LLMType.CHAT)
question += keyword_extraction(chat_mdl, question)
ranks = settings.retrievaler.retrieval(question, embd_mdl, kbs[0].tenant_id, kb_ids, page, size,
ranks = settings.retriever.retrieval(question, embd_mdl, kbs[0].tenant_id, kb_ids, page, size,
similarity_threshold, vector_similarity_weight, top,
doc_ids, rerank_mdl=rerank_mdl, highlight= highlight,
rank_feature=label_question(question, kbs))

View File

@ -19,15 +19,19 @@ import re
import sys
from functools import partial
import flask
import trio
from flask import request, Response
from flask_login import login_required, current_user
from agent.component import LLM
from api import settings
from api.db import CanvasCategory, FileType
from api.db.services.canvas_service import CanvasTemplateService, UserCanvasService, API4ConversationService
from api.db.services.document_service import DocumentService
from api.db.services.file_service import FileService
from api.db.services.pipeline_operation_log_service import PipelineOperationLogService
from api.db.services.task_service import queue_dataflow, CANVAS_DEBUG_DOC_ID, TaskService
from api.db.services.user_service import TenantService
from api.db.services.user_canvas_version import UserCanvasVersionService
from api.settings import RetCode
@ -35,25 +39,19 @@ from api.utils import get_uuid
from api.utils.api_utils import get_json_result, server_error_response, validate_request, get_data_error_result
from agent.canvas import Canvas
from peewee import MySQLDatabase, PostgresqlDatabase
from api.db.db_models import APIToken
from api.db.db_models import APIToken, Task
import time
from api.utils.file_utils import filename_type, read_potential_broken_pdf
from rag.flow.pipeline import Pipeline
from rag.nlp import search
from rag.utils.redis_conn import REDIS_CONN
@manager.route('/templates', methods=['GET']) # noqa: F821
@login_required
def templates():
return get_json_result(data=[c.to_dict() for c in CanvasTemplateService.query(canvas_category=CanvasCategory.Agent)])
@manager.route('/list', methods=['GET']) # noqa: F821
@login_required
def canvas_list():
return get_json_result(data=sorted([c.to_dict() for c in \
UserCanvasService.query(user_id=current_user.id, canvas_category=CanvasCategory.Agent)], key=lambda x: x["update_time"]*-1)
)
return get_json_result(data=[c.to_dict() for c in CanvasTemplateService.get_all()])
@manager.route('/rm', methods=['POST']) # noqa: F821
@ -77,9 +75,10 @@ def save():
if not isinstance(req["dsl"], str):
req["dsl"] = json.dumps(req["dsl"], ensure_ascii=False)
req["dsl"] = json.loads(req["dsl"])
cate = req.get("canvas_category", CanvasCategory.Agent)
if "id" not in req:
req["user_id"] = current_user.id
if UserCanvasService.query(user_id=current_user.id, title=req["title"].strip(), canvas_category=CanvasCategory.Agent):
if UserCanvasService.query(user_id=current_user.id, title=req["title"].strip(), canvas_category=cate):
return get_data_error_result(message=f"{req['title'].strip()} already exists.")
req["id"] = get_uuid()
if not UserCanvasService.save(**req):
@ -101,7 +100,7 @@ def save():
def get(canvas_id):
if not UserCanvasService.accessible(canvas_id, current_user.id):
return get_data_error_result(message="canvas not found.")
e, c = UserCanvasService.get_by_tenant_id(canvas_id)
e, c = UserCanvasService.get_by_canvas_id(canvas_id)
return get_json_result(data=c)
@ -148,6 +147,14 @@ def run():
if not isinstance(cvs.dsl, str):
cvs.dsl = json.dumps(cvs.dsl, ensure_ascii=False)
if cvs.canvas_category == CanvasCategory.DataFlow:
task_id = get_uuid()
Pipeline(cvs.dsl, tenant_id=current_user.id, doc_id=CANVAS_DEBUG_DOC_ID, task_id=task_id, flow_id=req["id"])
ok, error_message = queue_dataflow(tenant_id=user_id, flow_id=req["id"], task_id=task_id, file=files[0], priority=0)
if not ok:
return get_data_error_result(message=error_message)
return get_json_result(data={"message_id": task_id})
try:
canvas = Canvas(cvs.dsl, current_user.id, req["id"])
except Exception as e:
@ -173,6 +180,44 @@ def run():
return resp
@manager.route('/rerun', methods=['POST']) # noqa: F821
@validate_request("id", "dsl", "component_id")
@login_required
def rerun():
req = request.json
doc = PipelineOperationLogService.get_documents_info(req["id"])
if not doc:
return get_data_error_result(message="Document not found.")
doc = doc[0]
if 0 < doc["progress"] < 1:
return get_data_error_result(message=f"`{doc['name']}` is processing...")
if settings.docStoreConn.indexExist(search.index_name(current_user.id), doc["kb_id"]):
settings.docStoreConn.delete({"doc_id": doc["id"]}, search.index_name(current_user.id), doc["kb_id"])
doc["progress_msg"] = ""
doc["chunk_num"] = 0
doc["token_num"] = 0
DocumentService.clear_chunk_num_when_rerun(doc["id"])
DocumentService.update_by_id(id, doc)
TaskService.filter_delete([Task.doc_id == id])
dsl = req["dsl"]
dsl["path"] = [req["component_id"]]
PipelineOperationLogService.update_by_id(req["id"], {"dsl": dsl})
queue_dataflow(tenant_id=current_user.id, flow_id=req["id"], task_id=get_uuid(), doc_id=doc["id"], priority=0, rerun=True)
return get_json_result(data=True)
@manager.route('/cancel/<task_id>', methods=['PUT']) # noqa: F821
@login_required
def cancel(task_id):
try:
REDIS_CONN.set(f"{task_id}-cancel", "x")
except Exception as e:
logging.exception(e)
return get_json_result(data=True)
@manager.route('/reset', methods=['POST']) # noqa: F821
@validate_request("id")
@login_required
@ -198,7 +243,7 @@ def reset():
@manager.route("/upload/<canvas_id>", methods=["POST"]) # noqa: F821
def upload(canvas_id):
e, cvs = UserCanvasService.get_by_tenant_id(canvas_id)
e, cvs = UserCanvasService.get_by_canvas_id(canvas_id)
if not e:
return get_data_error_result(message="canvas not found.")
@ -332,7 +377,7 @@ def test_db_connect():
if req["db_type"] in ["mysql", "mariadb"]:
db = MySQLDatabase(req["database"], user=req["username"], host=req["host"], port=req["port"],
password=req["password"])
elif req["db_type"] == 'postgresql':
elif req["db_type"] == 'postgres':
db = PostgresqlDatabase(req["database"], user=req["username"], host=req["host"], port=req["port"],
password=req["password"])
elif req["db_type"] == 'mssql':
@ -348,6 +393,65 @@ def test_db_connect():
cursor = db.cursor()
cursor.execute("SELECT 1")
cursor.close()
elif req["db_type"] == 'IBM DB2':
import ibm_db
conn_str = (
f"DATABASE={req['database']};"
f"HOSTNAME={req['host']};"
f"PORT={req['port']};"
f"PROTOCOL=TCPIP;"
f"UID={req['username']};"
f"PWD={req['password']};"
)
logging.info(conn_str)
conn = ibm_db.connect(conn_str, "", "")
stmt = ibm_db.exec_immediate(conn, "SELECT 1 FROM sysibm.sysdummy1")
ibm_db.fetch_assoc(stmt)
ibm_db.close(conn)
return get_json_result(data="Database Connection Successful!")
elif req["db_type"] == 'trino':
def _parse_catalog_schema(db: str):
if not db:
return None, None
if "." in db:
c, s = db.split(".", 1)
elif "/" in db:
c, s = db.split("/", 1)
else:
c, s = db, "default"
return c, s
try:
import trino
import os
from trino.auth import BasicAuthentication
except Exception:
return server_error_response("Missing dependency 'trino'. Please install: pip install trino")
catalog, schema = _parse_catalog_schema(req["database"])
if not catalog:
return server_error_response("For Trino, 'database' must be 'catalog.schema' or at least 'catalog'.")
http_scheme = "https" if os.environ.get("TRINO_USE_TLS", "0") == "1" else "http"
auth = None
if http_scheme == "https" and req.get("password"):
auth = BasicAuthentication(req.get("username") or "ragflow", req["password"])
conn = trino.dbapi.connect(
host=req["host"],
port=int(req["port"] or 8080),
user=req["username"] or "ragflow",
catalog=catalog,
schema=schema or "default",
http_scheme=http_scheme,
auth=auth
)
cur = conn.cursor()
cur.execute("SELECT 1")
cur.fetchall()
cur.close()
conn.close()
return get_json_result(data="Database Connection Successful!")
else:
return server_error_response("Unsupported database type.")
if req["db_type"] != 'mssql':
@ -383,22 +487,32 @@ def getversion( version_id):
return get_json_result(data=f"Error getting history file: {e}")
@manager.route('/listteam', methods=['GET']) # noqa: F821
@manager.route('/list', methods=['GET']) # noqa: F821
@login_required
def list_canvas():
keywords = request.args.get("keywords", "")
page_number = int(request.args.get("page", 1))
items_per_page = int(request.args.get("page_size", 150))
page_number = int(request.args.get("page", 0))
items_per_page = int(request.args.get("page_size", 0))
orderby = request.args.get("orderby", "create_time")
desc = request.args.get("desc", True)
try:
canvas_category = request.args.get("canvas_category")
if request.args.get("desc", "true").lower() == "false":
desc = False
else:
desc = True
owner_ids = [id for id in request.args.get("owner_ids", "").strip().split(",") if id]
if not owner_ids:
tenants = TenantService.get_joined_tenants_by_user_id(current_user.id)
tenants = [m["tenant_id"] for m in tenants]
tenants.append(current_user.id)
canvas, total = UserCanvasService.get_by_tenant_ids(
[m["tenant_id"] for m in tenants], current_user.id, page_number,
items_per_page, orderby, desc, keywords, canvas_category=CanvasCategory.Agent)
return get_json_result(data={"canvas": canvas, "total": total})
except Exception as e:
return server_error_response(e)
tenants, current_user.id, page_number,
items_per_page, orderby, desc, keywords, canvas_category)
else:
tenants = owner_ids
canvas, total = UserCanvasService.get_by_tenant_ids(
tenants, current_user.id, 0,
0, orderby, desc, keywords, canvas_category)
return get_json_result(data={"canvas": canvas, "total": total})
@manager.route('/setting', methods=['POST']) # noqa: F821
@ -474,7 +588,7 @@ def sessions(canvas_id):
@manager.route('/prompts', methods=['GET']) # noqa: F821
@login_required
def prompts():
from rag.prompts.prompts import ANALYZE_TASK_SYSTEM, ANALYZE_TASK_USER, NEXT_STEP, REFLECT, CITATION_PROMPT_TEMPLATE
from rag.prompts.generator import ANALYZE_TASK_SYSTEM, ANALYZE_TASK_USER, NEXT_STEP, REFLECT, CITATION_PROMPT_TEMPLATE
return get_json_result(data={
"task_analysis": ANALYZE_TASK_SYSTEM +"\n\n"+ ANALYZE_TASK_USER,
"plan_generation": NEXT_STEP,
@ -483,3 +597,11 @@ def prompts():
#"context_ranking": RANK_MEMORY,
"citation_guidelines": CITATION_PROMPT_TEMPLATE
})
@manager.route('/download', methods=['GET']) # noqa: F821
def download():
id = request.args.get("id")
created_by = request.args.get("created_by")
blob = FileService.get_blob(created_by, id)
return flask.make_response(blob)

View File

@ -33,8 +33,7 @@ from api.utils.api_utils import get_data_error_result, get_json_result, server_e
from rag.app.qa import beAdoc, rmPrefix
from rag.app.tag import label_question
from rag.nlp import rag_tokenizer, search
from rag.prompts import cross_languages, keyword_extraction
from rag.prompts.prompts import gen_meta_filter
from rag.prompts.generator import gen_meta_filter, cross_languages, keyword_extraction
from rag.settings import PAGERANK_FLD
from rag.utils import rmSpace
@ -61,7 +60,7 @@ def list_chunk():
}
if "available_int" in req:
query["available_int"] = int(req["available_int"])
sres = settings.retrievaler.search(query, search.index_name(tenant_id), kb_ids, highlight=True)
sres = settings.retriever.search(query, search.index_name(tenant_id), kb_ids, highlight=["content_ltks"])
res = {"total": sres.total, "chunks": [], "doc": doc.to_dict()}
for id in sres.ids:
d = {
@ -347,15 +346,16 @@ def retrieval_test():
question += keyword_extraction(chat_mdl, question)
labels = label_question(question, [kb])
ranks = settings.retrievaler.retrieval(question, embd_mdl, tenant_ids, kb_ids, page, size,
ranks = settings.retriever.retrieval(question, embd_mdl, tenant_ids, kb_ids, page, size,
float(req.get("similarity_threshold", 0.0)),
float(req.get("vector_similarity_weight", 0.3)),
top,
doc_ids, rerank_mdl=rerank_mdl, highlight=req.get("highlight"),
doc_ids, rerank_mdl=rerank_mdl,
highlight=req.get("highlight", False),
rank_feature=labels
)
if use_kg:
ck = settings.kg_retrievaler.retrieval(question,
ck = settings.kg_retriever.retrieval(question,
tenant_ids,
kb_ids,
embd_mdl,
@ -385,7 +385,7 @@ def knowledge_graph():
"doc_ids": [doc_id],
"knowledge_graph_kwd": ["graph", "mind_map"]
}
sres = settings.retrievaler.search(req, search.index_name(tenant_id), kb_ids)
sres = settings.retriever.search(req, search.index_name(tenant_id), kb_ids)
obj = {"graph": {}, "mind_map": {}}
for id in sres.ids[:2]:
ty = sres.field[id]["knowledge_graph_kwd"]

View File

@ -15,7 +15,7 @@
#
import json
import re
import traceback
import logging
from copy import deepcopy
from flask import Response, request
from flask_login import current_user, login_required
@ -29,8 +29,8 @@ from api.db.services.search_service import SearchService
from api.db.services.tenant_llm_service import TenantLLMService
from api.db.services.user_service import TenantService, UserTenantService
from api.utils.api_utils import get_data_error_result, get_json_result, server_error_response, validate_request
from rag.prompts.prompt_template import load_prompt
from rag.prompts.prompts import chunks_format
from rag.prompts.template import load_prompt
from rag.prompts.generator import chunks_format
@manager.route("/set", methods=["POST"]) # noqa: F821
@ -226,7 +226,7 @@ def completion():
if not is_embedded:
ConversationService.update_by_id(conv.id, conv.to_dict())
except Exception as e:
traceback.print_exc()
logging.exception(e)
yield "data:" + json.dumps({"code": 500, "message": str(e), "data": {"answer": "**ERROR**: " + str(e), "reference": []}}, ensure_ascii=False) + "\n\n"
yield "data:" + json.dumps({"code": 0, "message": "", "data": True}, ensure_ascii=False) + "\n\n"

View File

@ -1,353 +0,0 @@
#
# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import json
import re
import sys
import time
from functools import partial
import trio
from flask import request
from flask_login import current_user, login_required
from agent.canvas import Canvas
from agent.component import LLM
from api.db import CanvasCategory, FileType
from api.db.services.canvas_service import CanvasTemplateService, UserCanvasService
from api.db.services.document_service import DocumentService
from api.db.services.file_service import FileService
from api.db.services.task_service import queue_dataflow
from api.db.services.user_canvas_version import UserCanvasVersionService
from api.db.services.user_service import TenantService
from api.settings import RetCode
from api.utils import get_uuid
from api.utils.api_utils import get_data_error_result, get_json_result, server_error_response, validate_request
from api.utils.file_utils import filename_type, read_potential_broken_pdf
from rag.flow.pipeline import Pipeline
@manager.route("/templates", methods=["GET"]) # noqa: F821
@login_required
def templates():
return get_json_result(data=[c.to_dict() for c in CanvasTemplateService.query(canvas_category=CanvasCategory.DataFlow)])
@manager.route("/list", methods=["GET"]) # noqa: F821
@login_required
def canvas_list():
return get_json_result(data=sorted([c.to_dict() for c in UserCanvasService.query(user_id=current_user.id, canvas_category=CanvasCategory.DataFlow)], key=lambda x: x["update_time"] * -1))
@manager.route("/rm", methods=["POST"]) # noqa: F821
@validate_request("canvas_ids")
@login_required
def rm():
for i in request.json["canvas_ids"]:
if not UserCanvasService.accessible(i, current_user.id):
return get_json_result(data=False, message="Only owner of canvas authorized for this operation.", code=RetCode.OPERATING_ERROR)
UserCanvasService.delete_by_id(i)
return get_json_result(data=True)
@manager.route("/set", methods=["POST"]) # noqa: F821
@validate_request("dsl", "title")
@login_required
def save():
req = request.json
if not isinstance(req["dsl"], str):
req["dsl"] = json.dumps(req["dsl"], ensure_ascii=False)
req["dsl"] = json.loads(req["dsl"])
req["canvas_category"] = CanvasCategory.DataFlow
if "id" not in req:
req["user_id"] = current_user.id
if UserCanvasService.query(user_id=current_user.id, title=req["title"].strip(), canvas_category=CanvasCategory.DataFlow):
return get_data_error_result(message=f"{req['title'].strip()} already exists.")
req["id"] = get_uuid()
if not UserCanvasService.save(**req):
return get_data_error_result(message="Fail to save canvas.")
else:
if not UserCanvasService.accessible(req["id"], current_user.id):
return get_json_result(data=False, message="Only owner of canvas authorized for this operation.", code=RetCode.OPERATING_ERROR)
UserCanvasService.update_by_id(req["id"], req)
# save version
UserCanvasVersionService.insert(user_canvas_id=req["id"], dsl=req["dsl"], title="{0}_{1}".format(req["title"], time.strftime("%Y_%m_%d_%H_%M_%S")))
UserCanvasVersionService.delete_all_versions(req["id"])
return get_json_result(data=req)
@manager.route("/get/<canvas_id>", methods=["GET"]) # noqa: F821
@login_required
def get(canvas_id):
if not UserCanvasService.accessible(canvas_id, current_user.id):
return get_data_error_result(message="canvas not found.")
e, c = UserCanvasService.get_by_tenant_id(canvas_id)
return get_json_result(data=c)
@manager.route("/run", methods=["POST"]) # noqa: F821
@validate_request("id")
@login_required
def run():
req = request.json
flow_id = req.get("id", "")
doc_id = req.get("doc_id", "")
if not all([flow_id, doc_id]):
return get_data_error_result(message="id and doc_id are required.")
if not DocumentService.get_by_id(doc_id):
return get_data_error_result(message=f"Document for {doc_id} not found.")
user_id = req.get("user_id", current_user.id)
if not UserCanvasService.accessible(flow_id, current_user.id):
return get_json_result(data=False, message="Only owner of canvas authorized for this operation.", code=RetCode.OPERATING_ERROR)
e, cvs = UserCanvasService.get_by_id(flow_id)
if not e:
return get_data_error_result(message="canvas not found.")
if not isinstance(cvs.dsl, str):
cvs.dsl = json.dumps(cvs.dsl, ensure_ascii=False)
task_id = get_uuid()
ok, error_message = queue_dataflow(dsl=cvs.dsl, tenant_id=user_id, doc_id=doc_id, task_id=task_id, flow_id=flow_id, priority=0)
if not ok:
return server_error_response(error_message)
return get_json_result(data={"task_id": task_id, "flow_id": flow_id})
@manager.route("/reset", methods=["POST"]) # noqa: F821
@validate_request("id")
@login_required
def reset():
req = request.json
flow_id = req.get("id", "")
if not flow_id:
return get_data_error_result(message="id is required.")
if not UserCanvasService.accessible(flow_id, current_user.id):
return get_json_result(data=False, message="Only owner of canvas authorized for this operation.", code=RetCode.OPERATING_ERROR)
task_id = req.get("task_id", "")
try:
e, user_canvas = UserCanvasService.get_by_id(req["id"])
if not e:
return get_data_error_result(message="canvas not found.")
dataflow = Pipeline(dsl=json.dumps(user_canvas.dsl), tenant_id=current_user.id, flow_id=flow_id, task_id=task_id)
dataflow.reset()
req["dsl"] = json.loads(str(dataflow))
UserCanvasService.update_by_id(req["id"], {"dsl": req["dsl"]})
return get_json_result(data=req["dsl"])
except Exception as e:
return server_error_response(e)
@manager.route("/upload/<canvas_id>", methods=["POST"]) # noqa: F821
def upload(canvas_id):
e, cvs = UserCanvasService.get_by_tenant_id(canvas_id)
if not e:
return get_data_error_result(message="canvas not found.")
user_id = cvs["user_id"]
def structured(filename, filetype, blob, content_type):
nonlocal user_id
if filetype == FileType.PDF.value:
blob = read_potential_broken_pdf(blob)
location = get_uuid()
FileService.put_blob(user_id, location, blob)
return {
"id": location,
"name": filename,
"size": sys.getsizeof(blob),
"extension": filename.split(".")[-1].lower(),
"mime_type": content_type,
"created_by": user_id,
"created_at": time.time(),
"preview_url": None,
}
if request.args.get("url"):
from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CrawlResult, DefaultMarkdownGenerator, PruningContentFilter
try:
url = request.args.get("url")
filename = re.sub(r"\?.*", "", url.split("/")[-1])
async def adownload():
browser_config = BrowserConfig(
headless=True,
verbose=False,
)
async with AsyncWebCrawler(config=browser_config) as crawler:
crawler_config = CrawlerRunConfig(markdown_generator=DefaultMarkdownGenerator(content_filter=PruningContentFilter()), pdf=True, screenshot=False)
result: CrawlResult = await crawler.arun(url=url, config=crawler_config)
return result
page = trio.run(adownload())
if page.pdf:
if filename.split(".")[-1].lower() != "pdf":
filename += ".pdf"
return get_json_result(data=structured(filename, "pdf", page.pdf, page.response_headers["content-type"]))
return get_json_result(data=structured(filename, "html", str(page.markdown).encode("utf-8"), page.response_headers["content-type"], user_id))
except Exception as e:
return server_error_response(e)
file = request.files["file"]
try:
DocumentService.check_doc_health(user_id, file.filename)
return get_json_result(data=structured(file.filename, filename_type(file.filename), file.read(), file.content_type))
except Exception as e:
return server_error_response(e)
@manager.route("/input_form", methods=["GET"]) # noqa: F821
@login_required
def input_form():
flow_id = request.args.get("id")
cpn_id = request.args.get("component_id")
try:
e, user_canvas = UserCanvasService.get_by_id(flow_id)
if not e:
return get_data_error_result(message="canvas not found.")
if not UserCanvasService.query(user_id=current_user.id, id=flow_id):
return get_json_result(data=False, message="Only owner of canvas authorized for this operation.", code=RetCode.OPERATING_ERROR)
dataflow = Pipeline(dsl=json.dumps(user_canvas.dsl), tenant_id=current_user.id, flow_id=flow_id, task_id="")
return get_json_result(data=dataflow.get_component_input_form(cpn_id))
except Exception as e:
return server_error_response(e)
@manager.route("/debug", methods=["POST"]) # noqa: F821
@validate_request("id", "component_id", "params")
@login_required
def debug():
req = request.json
if not UserCanvasService.accessible(req["id"], current_user.id):
return get_json_result(data=False, message="Only owner of canvas authorized for this operation.", code=RetCode.OPERATING_ERROR)
try:
e, user_canvas = UserCanvasService.get_by_id(req["id"])
canvas = Canvas(json.dumps(user_canvas.dsl), current_user.id)
canvas.reset()
canvas.message_id = get_uuid()
component = canvas.get_component(req["component_id"])["obj"]
component.reset()
if isinstance(component, LLM):
component.set_debug_inputs(req["params"])
component.invoke(**{k: o["value"] for k, o in req["params"].items()})
outputs = component.output()
for k in outputs.keys():
if isinstance(outputs[k], partial):
txt = ""
for c in outputs[k]():
txt += c
outputs[k] = txt
return get_json_result(data=outputs)
except Exception as e:
return server_error_response(e)
# api get list version dsl of canvas
@manager.route("/getlistversion/<canvas_id>", methods=["GET"]) # noqa: F821
@login_required
def getlistversion(canvas_id):
try:
list = sorted([c.to_dict() for c in UserCanvasVersionService.list_by_canvas_id(canvas_id)], key=lambda x: x["update_time"] * -1)
return get_json_result(data=list)
except Exception as e:
return get_data_error_result(message=f"Error getting history files: {e}")
# api get version dsl of canvas
@manager.route("/getversion/<version_id>", methods=["GET"]) # noqa: F821
@login_required
def getversion(version_id):
try:
e, version = UserCanvasVersionService.get_by_id(version_id)
if version:
return get_json_result(data=version.to_dict())
except Exception as e:
return get_json_result(data=f"Error getting history file: {e}")
@manager.route("/listteam", methods=["GET"]) # noqa: F821
@login_required
def list_canvas():
keywords = request.args.get("keywords", "")
page_number = int(request.args.get("page", 1))
items_per_page = int(request.args.get("page_size", 150))
orderby = request.args.get("orderby", "create_time")
desc = request.args.get("desc", True)
try:
tenants = TenantService.get_joined_tenants_by_user_id(current_user.id)
canvas, total = UserCanvasService.get_by_tenant_ids(
[m["tenant_id"] for m in tenants], current_user.id, page_number, items_per_page, orderby, desc, keywords, canvas_category=CanvasCategory.DataFlow
)
return get_json_result(data={"canvas": canvas, "total": total})
except Exception as e:
return server_error_response(e)
@manager.route("/setting", methods=["POST"]) # noqa: F821
@validate_request("id", "title", "permission")
@login_required
def setting():
req = request.json
req["user_id"] = current_user.id
if not UserCanvasService.accessible(req["id"], current_user.id):
return get_json_result(data=False, message="Only owner of canvas authorized for this operation.", code=RetCode.OPERATING_ERROR)
e, flow = UserCanvasService.get_by_id(req["id"])
if not e:
return get_data_error_result(message="canvas not found.")
flow = flow.to_dict()
flow["title"] = req["title"]
for key in ("description", "permission", "avatar"):
if value := req.get(key):
flow[key] = value
num = UserCanvasService.update_by_id(req["id"], flow)
return get_json_result(data=num)
@manager.route("/trace", methods=["GET"]) # noqa: F821
def trace():
dataflow_id = request.args.get("dataflow_id")
task_id = request.args.get("task_id")
if not all([dataflow_id, task_id]):
return get_data_error_result(message="dataflow_id and task_id are required.")
e, dataflow_canvas = UserCanvasService.get_by_id(dataflow_id)
if not e:
return get_data_error_result(message="dataflow not found.")
dsl_str = json.dumps(dataflow_canvas.dsl, ensure_ascii=False)
dataflow = Pipeline(dsl=dsl_str, tenant_id=dataflow_canvas.user_id, flow_id=dataflow_id, task_id=task_id)
log = dataflow.fetch_logs()
return get_json_result(data=log)

View File

@ -24,6 +24,7 @@ from flask import request
from flask_login import current_user, login_required
from api import settings
from api.common.check_team_permission import check_kb_team_permission
from api.constants import FILE_NAME_LEN_LIMIT, IMG_BASE64_PREFIX
from api.db import VALID_FILE_TYPES, VALID_TASK_STATUS, FileSource, FileType, ParserType, TaskStatus
from api.db.db_models import File, Task
@ -32,7 +33,7 @@ from api.db.services.document_service import DocumentService, doc_upload_and_par
from api.db.services.file2document_service import File2DocumentService
from api.db.services.file_service import FileService
from api.db.services.knowledgebase_service import KnowledgebaseService
from api.db.services.task_service import TaskService, cancel_all_task_of, queue_tasks
from api.db.services.task_service import TaskService, cancel_all_task_of, queue_tasks, queue_dataflow
from api.db.services.user_service import UserTenantService
from api.utils import get_uuid
from api.utils.api_utils import (
@ -44,7 +45,7 @@ from api.utils.api_utils import (
from api.utils.file_utils import filename_type, get_project_base_directory, thumbnail
from api.utils.web_utils import CONTENT_TYPE_MAP, html2pdf, is_valid_url
from deepdoc.parser.html_parser import RAGFlowHtmlParser
from rag.nlp import search
from rag.nlp import search, rag_tokenizer
from rag.utils.storage_factory import STORAGE_IMPL
@ -68,8 +69,10 @@ def upload():
e, kb = KnowledgebaseService.get_by_id(kb_id)
if not e:
raise LookupError("Can't find this knowledgebase!")
err, files = FileService.upload_document(kb, file_objs, current_user.id)
if not check_kb_team_permission(kb, current_user.id):
return get_json_result(data=False, message="No authorization.", code=settings.RetCode.AUTHENTICATION_ERROR)
err, files = FileService.upload_document(kb, file_objs, current_user.id)
if err:
return get_json_result(data=files, message="\n".join(err), code=settings.RetCode.SERVER_ERROR)
@ -94,6 +97,8 @@ def web_crawl():
e, kb = KnowledgebaseService.get_by_id(kb_id)
if not e:
raise LookupError("Can't find this knowledgebase!")
if check_kb_team_permission(kb, current_user.id):
return get_json_result(data=False, message="No authorization.", code=settings.RetCode.AUTHENTICATION_ERROR)
blob = html2pdf(url)
if not blob:
@ -182,6 +187,7 @@ def create():
"id": get_uuid(),
"kb_id": kb.id,
"parser_id": kb.parser_id,
"pipeline_id": kb.pipeline_id,
"parser_config": kb.parser_config,
"created_by": current_user.id,
"type": FileType.VIRTUAL,
@ -479,8 +485,11 @@ def run():
kb_table_num_map[kb_id] = count
if kb_table_num_map[kb_id] <= 0:
KnowledgebaseService.delete_field_map(kb_id)
bucket, name = File2DocumentService.get_storage_address(doc_id=doc["id"])
queue_tasks(doc, bucket, name, 0)
if doc.get("pipeline_id", ""):
queue_dataflow(tenant_id, flow_id=doc["pipeline_id"], task_id=get_uuid(), doc_id=id)
else:
bucket, name = File2DocumentService.get_storage_address(doc_id=doc["id"])
queue_tasks(doc, bucket, name, 0)
return get_json_result(data=True)
except Exception as e:
@ -515,6 +524,21 @@ def rename():
e, file = FileService.get_by_id(informs[0].file_id)
FileService.update_by_id(file.id, {"name": req["name"]})
tenant_id = DocumentService.get_tenant_id(req["doc_id"])
title_tks = rag_tokenizer.tokenize(req["name"])
es_body = {
"docnm_kwd": req["name"],
"title_tks": title_tks,
"title_sm_tks": rag_tokenizer.fine_grained_tokenize(title_tks),
}
if settings.docStoreConn.indexExist(search.index_name(tenant_id), doc.kb_id):
settings.docStoreConn.update(
{"doc_id": req["doc_id"]},
es_body,
search.index_name(tenant_id),
doc.kb_id,
)
return get_json_result(data=True)
except Exception as e:
return server_error_response(e)
@ -546,31 +570,22 @@ def get(doc_id):
@manager.route("/change_parser", methods=["POST"]) # noqa: F821
@login_required
@validate_request("doc_id", "parser_id")
@validate_request("doc_id")
def change_parser():
req = request.json
req = request.json
if not DocumentService.accessible(req["doc_id"], current_user.id):
return get_json_result(data=False, message="No authorization.", code=settings.RetCode.AUTHENTICATION_ERROR)
try:
e, doc = DocumentService.get_by_id(req["doc_id"])
e, doc = DocumentService.get_by_id(req["doc_id"])
if not e:
return get_data_error_result(message="Document not found!")
def reset_doc():
nonlocal doc
e = DocumentService.update_by_id(doc.id, {"pipeline_id": req["pipeline_id"], "parser_id": req["parser_id"], "progress": 0, "progress_msg": "", "run": TaskStatus.UNSTART.value})
if not e:
return get_data_error_result(message="Document not found!")
if doc.parser_id.lower() == req["parser_id"].lower():
if "parser_config" in req:
if req["parser_config"] == doc.parser_config:
return get_json_result(data=True)
else:
return get_json_result(data=True)
if (doc.type == FileType.VISUAL and req["parser_id"] != "picture") or (re.search(r"\.(ppt|pptx|pages)$", doc.name) and req["parser_id"] != "presentation"):
return get_data_error_result(message="Not supported yet!")
e = DocumentService.update_by_id(doc.id, {"parser_id": req["parser_id"], "progress": 0, "progress_msg": "", "run": TaskStatus.UNSTART.value})
if not e:
return get_data_error_result(message="Document not found!")
if "parser_config" in req:
DocumentService.update_parser_config(doc.id, req["parser_config"])
if doc.token_num > 0:
e = DocumentService.increment_chunk_num(doc.id, doc.kb_id, doc.token_num * -1, doc.chunk_num * -1, doc.process_duration * -1)
if not e:
@ -581,6 +596,26 @@ def change_parser():
if settings.docStoreConn.indexExist(search.index_name(tenant_id), doc.kb_id):
settings.docStoreConn.delete({"doc_id": doc.id}, search.index_name(tenant_id), doc.kb_id)
try:
if "pipeline_id" in req and req["pipeline_id"] != "":
if doc.pipeline_id == req["pipeline_id"]:
return get_json_result(data=True)
DocumentService.update_by_id(doc.id, {"pipeline_id": req["pipeline_id"]})
reset_doc()
return get_json_result(data=True)
if doc.parser_id.lower() == req["parser_id"].lower():
if "parser_config" in req:
if req["parser_config"] == doc.parser_config:
return get_json_result(data=True)
else:
return get_json_result(data=True)
if (doc.type == FileType.VISUAL and req["parser_id"] != "picture") or (re.search(r"\.(ppt|pptx|pages)$", doc.name) and req["parser_id"] != "presentation"):
return get_data_error_result(message="Not supported yet!")
if "parser_config" in req:
DocumentService.update_parser_config(doc.id, req["parser_config"])
reset_doc()
return get_json_result(data=True)
except Exception as e:
return server_error_response(e)

View File

@ -13,6 +13,7 @@
# See the License for the specific language governing permissions and
# limitations under the License
#
import logging
import os
import pathlib
import re
@ -21,6 +22,7 @@ import flask
from flask import request
from flask_login import login_required, current_user
from api.common.check_team_permission import check_file_team_permission
from api.db.services.document_service import DocumentService
from api.db.services.file2document_service import File2DocumentService
from api.utils.api_utils import server_error_response, get_data_error_result, validate_request
@ -233,52 +235,63 @@ def get_all_parent_folders():
return server_error_response(e)
@manager.route('/rm', methods=['POST']) # noqa: F821
@manager.route("/rm", methods=["POST"]) # noqa: F821
@login_required
@validate_request("file_ids")
def rm():
req = request.json
file_ids = req["file_ids"]
def _delete_single_file(file):
try:
if file.location:
STORAGE_IMPL.rm(file.parent_id, file.location)
except Exception:
logging.exception(f"Fail to remove object: {file.parent_id}/{file.location}")
informs = File2DocumentService.get_by_file_id(file.id)
for inform in informs:
doc_id = inform.document_id
e, doc = DocumentService.get_by_id(doc_id)
if e and doc:
tenant_id = DocumentService.get_tenant_id(doc_id)
if tenant_id:
DocumentService.remove_document(doc, tenant_id)
File2DocumentService.delete_by_file_id(file.id)
FileService.delete(file)
def _delete_folder_recursive(folder, tenant_id):
sub_files = FileService.list_all_files_by_parent_id(folder.id)
for sub_file in sub_files:
if sub_file.type == FileType.FOLDER.value:
_delete_folder_recursive(sub_file, tenant_id)
else:
_delete_single_file(sub_file)
FileService.delete(folder)
try:
for file_id in file_ids:
e, file = FileService.get_by_id(file_id)
if not e:
if not e or not file:
return get_data_error_result(message="File or Folder not found!")
if not file.tenant_id:
return get_data_error_result(message="Tenant not found!")
if not check_file_team_permission(file, current_user.id):
return get_json_result(data=False, message="No authorization.", code=settings.RetCode.AUTHENTICATION_ERROR)
if file.source_type == FileSource.KNOWLEDGEBASE:
continue
if file.type == FileType.FOLDER.value:
file_id_list = FileService.get_all_innermost_file_ids(file_id, [])
for inner_file_id in file_id_list:
e, file = FileService.get_by_id(inner_file_id)
if not e:
return get_data_error_result(message="File not found!")
STORAGE_IMPL.rm(file.parent_id, file.location)
FileService.delete_folder_by_pf_id(current_user.id, file_id)
else:
STORAGE_IMPL.rm(file.parent_id, file.location)
if not FileService.delete(file):
return get_data_error_result(
message="Database error (File removal)!")
_delete_folder_recursive(file, current_user.id)
continue
# delete file2document
informs = File2DocumentService.get_by_file_id(file_id)
for inform in informs:
doc_id = inform.document_id
e, doc = DocumentService.get_by_id(doc_id)
if not e:
return get_data_error_result(message="Document not found!")
tenant_id = DocumentService.get_tenant_id(doc_id)
if not tenant_id:
return get_data_error_result(message="Tenant not found!")
if not DocumentService.remove_document(doc, tenant_id):
return get_data_error_result(
message="Database error (Document removal)!")
File2DocumentService.delete_by_file_id(file_id)
_delete_single_file(file)
return get_json_result(data=True)
except Exception as e:
return server_error_response(e)
@ -292,6 +305,8 @@ def rename():
e, file = FileService.get_by_id(req["file_id"])
if not e:
return get_data_error_result(message="File not found!")
if not check_file_team_permission(file, current_user.id):
return get_json_result(data=False, message='No authorization.', code=settings.RetCode.AUTHENTICATION_ERROR)
if file.type != FileType.FOLDER.value \
and pathlib.Path(req["name"].lower()).suffix != pathlib.Path(
file.name.lower()).suffix:
@ -328,6 +343,8 @@ def get(file_id):
e, file = FileService.get_by_id(file_id)
if not e:
return get_data_error_result(message="Document not found!")
if not check_file_team_permission(file, current_user.id):
return get_json_result(data=False, message='No authorization.', code=settings.RetCode.AUTHENTICATION_ERROR)
blob = STORAGE_IMPL.get(file.parent_id, file.location)
if not blob:
@ -348,29 +365,89 @@ def get(file_id):
return server_error_response(e)
@manager.route('/mv', methods=['POST']) # noqa: F821
@manager.route("/mv", methods=["POST"]) # noqa: F821
@login_required
@validate_request("src_file_ids", "dest_file_id")
def move():
req = request.json
try:
file_ids = req["src_file_ids"]
parent_id = req["dest_file_id"]
dest_parent_id = req["dest_file_id"]
ok, dest_folder = FileService.get_by_id(dest_parent_id)
if not ok or not dest_folder:
return get_data_error_result(message="Parent Folder not found!")
files = FileService.get_by_ids(file_ids)
files_dict = {}
for file in files:
files_dict[file.id] = file
if not files:
return get_data_error_result(message="Source files not found!")
files_dict = {f.id: f for f in files}
for file_id in file_ids:
file = files_dict[file_id]
file = files_dict.get(file_id)
if not file:
return get_data_error_result(message="File or Folder not found!")
if not file.tenant_id:
return get_data_error_result(message="Tenant not found!")
fe, _ = FileService.get_by_id(parent_id)
if not fe:
return get_data_error_result(message="Parent Folder not found!")
FileService.move_file(file_ids, parent_id)
if not check_file_team_permission(file, current_user.id):
return get_json_result(
data=False,
message="No authorization.",
code=settings.RetCode.AUTHENTICATION_ERROR,
)
def _move_entry_recursive(source_file_entry, dest_folder):
if source_file_entry.type == FileType.FOLDER.value:
existing_folder = FileService.query(name=source_file_entry.name, parent_id=dest_folder.id)
if existing_folder:
new_folder = existing_folder[0]
else:
new_folder = FileService.insert(
{
"id": get_uuid(),
"parent_id": dest_folder.id,
"tenant_id": source_file_entry.tenant_id,
"created_by": current_user.id,
"name": source_file_entry.name,
"location": "",
"size": 0,
"type": FileType.FOLDER.value,
}
)
sub_files = FileService.list_all_files_by_parent_id(source_file_entry.id)
for sub_file in sub_files:
_move_entry_recursive(sub_file, new_folder)
FileService.delete_by_id(source_file_entry.id)
return
old_parent_id = source_file_entry.parent_id
old_location = source_file_entry.location
filename = source_file_entry.name
new_location = filename
while STORAGE_IMPL.obj_exist(dest_folder.id, new_location):
new_location += "_"
try:
STORAGE_IMPL.move(old_parent_id, old_location, dest_folder.id, new_location)
except Exception as storage_err:
raise RuntimeError(f"Move file failed at storage layer: {str(storage_err)}")
FileService.update_by_id(
source_file_entry.id,
{
"parent_id": dest_folder.id,
"location": new_location,
},
)
for file in files:
_move_entry_recursive(file, dest_folder)
return get_json_result(data=True)
except Exception as e:
return server_error_response(e)

View File

@ -14,18 +14,21 @@
# limitations under the License.
#
import json
import logging
from flask import request
from flask_login import login_required, current_user
from api.db.services import duplicate_name
from api.db.services.document_service import DocumentService
from api.db.services.document_service import DocumentService, queue_raptor_o_graphrag_tasks
from api.db.services.file2document_service import File2DocumentService
from api.db.services.file_service import FileService
from api.db.services.pipeline_operation_log_service import PipelineOperationLogService
from api.db.services.task_service import TaskService, GRAPH_RAPTOR_FAKE_DOC_ID
from api.db.services.user_service import TenantService, UserTenantService
from api.utils.api_utils import server_error_response, get_data_error_result, validate_request, not_allowed_parameters
from api.utils.api_utils import get_error_data_result, server_error_response, get_data_error_result, validate_request, not_allowed_parameters
from api.utils import get_uuid
from api.db import StatusEnum, FileSource
from api.db import PipelineTaskType, StatusEnum, FileSource, VALID_FILE_TYPES, VALID_TASK_STATUS
from api.db.services.knowledgebase_service import KnowledgebaseService
from api.db.db_models import File
from api.utils.api_utils import get_json_result
@ -33,6 +36,7 @@ from api import settings
from rag.nlp import search
from api.constants import DATASET_NAME_LIMIT
from rag.settings import PAGERANK_FLD
from rag.utils.redis_conn import REDIS_CONN
from rag.utils.storage_factory import STORAGE_IMPL
@ -61,10 +65,40 @@ def create():
req["name"] = dataset_name
req["tenant_id"] = current_user.id
req["created_by"] = current_user.id
if not req.get("parser_id"):
req["parser_id"] = "naive"
e, t = TenantService.get_by_id(current_user.id)
if not e:
return get_data_error_result(message="Tenant not found.")
req["embd_id"] = t.embd_id
req["parser_config"] = {
"layout_recognize": "DeepDOC",
"chunk_token_num": 512,
"delimiter": "\n",
"auto_keywords": 0,
"auto_questions": 0,
"html4excel": False,
"topn_tags": 3,
"raptor": {
"use_raptor": True,
"prompt": "Please summarize the following paragraphs. Be careful with the numbers, do not make things up. Paragraphs as following:\n {cluster_content}\nThe above is the content you need to summarize.",
"max_token": 256,
"threshold": 0.1,
"max_cluster": 64,
"random_seed": 0
},
"graphrag": {
"use_graphrag": True,
"entity_types": [
"organization",
"person",
"geo",
"event",
"category"
],
"method": "light"
}
}
if not KnowledgebaseService.save(**req):
return get_data_error_result()
return get_json_result(data={"kb_id": req["id"]})
@ -155,6 +189,9 @@ def detail():
return get_data_error_result(
message="Can't find this knowledgebase!")
kb["size"] = DocumentService.get_total_size_by_kb_id(kb_id=kb["id"],keywords="", run_status=[], types=[])
for key in ["graphrag_task_finish_at", "raptor_task_finish_at", "mindmap_task_finish_at"]:
if finish_at := kb.get(key):
kb[key] = finish_at.strftime("%Y-%m-%d %H:%M:%S")
return get_json_result(data=kb)
except Exception as e:
return server_error_response(e)
@ -250,7 +287,7 @@ def list_tags(kb_id):
tenants = UserTenantService.get_tenants_by_user_id(current_user.id)
tags = []
for tenant in tenants:
tags += settings.retrievaler.all_tags(tenant["tenant_id"], [kb_id])
tags += settings.retriever.all_tags(tenant["tenant_id"], [kb_id])
return get_json_result(data=tags)
@ -269,7 +306,7 @@ def list_tags_from_kbs():
tenants = UserTenantService.get_tenants_by_user_id(current_user.id)
tags = []
for tenant in tenants:
tags += settings.retrievaler.all_tags(tenant["tenant_id"], kb_ids)
tags += settings.retriever.all_tags(tenant["tenant_id"], kb_ids)
return get_json_result(data=tags)
@ -330,7 +367,7 @@ def knowledge_graph(kb_id):
obj = {"graph": {}, "mind_map": {}}
if not settings.docStoreConn.indexExist(search.index_name(kb.tenant_id), kb_id):
return get_json_result(data=obj)
sres = settings.retrievaler.search(req, search.index_name(kb.tenant_id), [kb_id])
sres = settings.retriever.search(req, search.index_name(kb.tenant_id), [kb_id])
if not len(sres.ids):
return get_json_result(data=obj)
@ -379,3 +416,375 @@ def get_meta():
code=settings.RetCode.AUTHENTICATION_ERROR
)
return get_json_result(data=DocumentService.get_meta_by_kbs(kb_ids))
@manager.route("/basic_info", methods=["GET"]) # noqa: F821
@login_required
def get_basic_info():
kb_id = request.args.get("kb_id", "")
if not KnowledgebaseService.accessible(kb_id, current_user.id):
return get_json_result(
data=False,
message='No authorization.',
code=settings.RetCode.AUTHENTICATION_ERROR
)
basic_info = DocumentService.knowledgebase_basic_info(kb_id)
return get_json_result(data=basic_info)
@manager.route("/list_pipeline_logs", methods=["POST"]) # noqa: F821
@login_required
def list_pipeline_logs():
kb_id = request.args.get("kb_id")
if not kb_id:
return get_json_result(data=False, message='Lack of "KB ID"', code=settings.RetCode.ARGUMENT_ERROR)
keywords = request.args.get("keywords", "")
page_number = int(request.args.get("page", 0))
items_per_page = int(request.args.get("page_size", 0))
orderby = request.args.get("orderby", "create_time")
if request.args.get("desc", "true").lower() == "false":
desc = False
else:
desc = True
create_date_from = request.args.get("create_date_from", "")
create_date_to = request.args.get("create_date_to", "")
if create_date_to > create_date_from:
return get_data_error_result(message="Create data filter is abnormal.")
req = request.get_json()
operation_status = req.get("operation_status", [])
if operation_status:
invalid_status = {s for s in operation_status if s not in VALID_TASK_STATUS}
if invalid_status:
return get_data_error_result(message=f"Invalid filter operation_status status conditions: {', '.join(invalid_status)}")
types = req.get("types", [])
if types:
invalid_types = {t for t in types if t not in VALID_FILE_TYPES}
if invalid_types:
return get_data_error_result(message=f"Invalid filter conditions: {', '.join(invalid_types)} type{'s' if len(invalid_types) > 1 else ''}")
suffix = req.get("suffix", [])
try:
logs, tol = PipelineOperationLogService.get_file_logs_by_kb_id(kb_id, page_number, items_per_page, orderby, desc, keywords, operation_status, types, suffix, create_date_from, create_date_to)
return get_json_result(data={"total": tol, "logs": logs})
except Exception as e:
return server_error_response(e)
@manager.route("/list_pipeline_dataset_logs", methods=["POST"]) # noqa: F821
@login_required
def list_pipeline_dataset_logs():
kb_id = request.args.get("kb_id")
if not kb_id:
return get_json_result(data=False, message='Lack of "KB ID"', code=settings.RetCode.ARGUMENT_ERROR)
page_number = int(request.args.get("page", 0))
items_per_page = int(request.args.get("page_size", 0))
orderby = request.args.get("orderby", "create_time")
if request.args.get("desc", "true").lower() == "false":
desc = False
else:
desc = True
create_date_from = request.args.get("create_date_from", "")
create_date_to = request.args.get("create_date_to", "")
if create_date_to > create_date_from:
return get_data_error_result(message="Create data filter is abnormal.")
req = request.get_json()
operation_status = req.get("operation_status", [])
if operation_status:
invalid_status = {s for s in operation_status if s not in VALID_TASK_STATUS}
if invalid_status:
return get_data_error_result(message=f"Invalid filter operation_status status conditions: {', '.join(invalid_status)}")
try:
logs, tol = PipelineOperationLogService.get_dataset_logs_by_kb_id(kb_id, page_number, items_per_page, orderby, desc, operation_status, create_date_from, create_date_to)
return get_json_result(data={"total": tol, "logs": logs})
except Exception as e:
return server_error_response(e)
@manager.route("/delete_pipeline_logs", methods=["POST"]) # noqa: F821
@login_required
def delete_pipeline_logs():
kb_id = request.args.get("kb_id")
if not kb_id:
return get_json_result(data=False, message='Lack of "KB ID"', code=settings.RetCode.ARGUMENT_ERROR)
req = request.get_json()
log_ids = req.get("log_ids", [])
PipelineOperationLogService.delete_by_ids(log_ids)
return get_json_result(data=True)
@manager.route("/pipeline_log_detail", methods=["GET"]) # noqa: F821
@login_required
def pipeline_log_detail():
log_id = request.args.get("log_id")
if not log_id:
return get_json_result(data=False, message='Lack of "Pipeline log ID"', code=settings.RetCode.ARGUMENT_ERROR)
ok, log = PipelineOperationLogService.get_by_id(log_id)
if not ok:
return get_data_error_result(message="Invalid pipeline log ID")
return get_json_result(data=log.to_dict())
@manager.route("/run_graphrag", methods=["POST"]) # noqa: F821
@login_required
def run_graphrag():
req = request.json
kb_id = req.get("kb_id", "")
if not kb_id:
return get_error_data_result(message='Lack of "KB ID"')
ok, kb = KnowledgebaseService.get_by_id(kb_id)
if not ok:
return get_error_data_result(message="Invalid Knowledgebase ID")
task_id = kb.graphrag_task_id
if task_id:
ok, task = TaskService.get_by_id(task_id)
if not ok:
logging.warning(f"A valid GraphRAG task id is expected for kb {kb_id}")
if task and task.progress not in [-1, 1]:
return get_error_data_result(message=f"Task {task_id} in progress with status {task.progress}. A Graph Task is already running.")
documents, _ = DocumentService.get_by_kb_id(
kb_id=kb_id,
page_number=0,
items_per_page=0,
orderby="create_time",
desc=False,
keywords="",
run_status=[],
types=[],
suffix=[],
)
if not documents:
return get_error_data_result(message=f"No documents in Knowledgebase {kb_id}")
sample_document = documents[0]
document_ids = [document["id"] for document in documents]
task_id = queue_raptor_o_graphrag_tasks(sample_doc_id=sample_document, ty="graphrag", priority=0, fake_doc_id=GRAPH_RAPTOR_FAKE_DOC_ID, doc_ids=list(document_ids))
if not KnowledgebaseService.update_by_id(kb.id, {"graphrag_task_id": task_id}):
logging.warning(f"Cannot save graphrag_task_id for kb {kb_id}")
return get_json_result(data={"graphrag_task_id": task_id})
@manager.route("/trace_graphrag", methods=["GET"]) # noqa: F821
@login_required
def trace_graphrag():
kb_id = request.args.get("kb_id", "")
if not kb_id:
return get_error_data_result(message='Lack of "KB ID"')
ok, kb = KnowledgebaseService.get_by_id(kb_id)
if not ok:
return get_error_data_result(message="Invalid Knowledgebase ID")
task_id = kb.graphrag_task_id
if not task_id:
return get_json_result(data={})
ok, task = TaskService.get_by_id(task_id)
if not ok:
return get_error_data_result(message="GraphRAG Task Not Found or Error Occurred")
return get_json_result(data=task.to_dict())
@manager.route("/run_raptor", methods=["POST"]) # noqa: F821
@login_required
def run_raptor():
req = request.json
kb_id = req.get("kb_id", "")
if not kb_id:
return get_error_data_result(message='Lack of "KB ID"')
ok, kb = KnowledgebaseService.get_by_id(kb_id)
if not ok:
return get_error_data_result(message="Invalid Knowledgebase ID")
task_id = kb.raptor_task_id
if task_id:
ok, task = TaskService.get_by_id(task_id)
if not ok:
logging.warning(f"A valid RAPTOR task id is expected for kb {kb_id}")
if task and task.progress not in [-1, 1]:
return get_error_data_result(message=f"Task {task_id} in progress with status {task.progress}. A RAPTOR Task is already running.")
documents, _ = DocumentService.get_by_kb_id(
kb_id=kb_id,
page_number=0,
items_per_page=0,
orderby="create_time",
desc=False,
keywords="",
run_status=[],
types=[],
suffix=[],
)
if not documents:
return get_error_data_result(message=f"No documents in Knowledgebase {kb_id}")
sample_document = documents[0]
document_ids = [document["id"] for document in documents]
task_id = queue_raptor_o_graphrag_tasks(sample_doc_id=sample_document, ty="raptor", priority=0, fake_doc_id=GRAPH_RAPTOR_FAKE_DOC_ID, doc_ids=list(document_ids))
if not KnowledgebaseService.update_by_id(kb.id, {"raptor_task_id": task_id}):
logging.warning(f"Cannot save raptor_task_id for kb {kb_id}")
return get_json_result(data={"raptor_task_id": task_id})
@manager.route("/trace_raptor", methods=["GET"]) # noqa: F821
@login_required
def trace_raptor():
kb_id = request.args.get("kb_id", "")
if not kb_id:
return get_error_data_result(message='Lack of "KB ID"')
ok, kb = KnowledgebaseService.get_by_id(kb_id)
if not ok:
return get_error_data_result(message="Invalid Knowledgebase ID")
task_id = kb.raptor_task_id
if not task_id:
return get_json_result(data={})
ok, task = TaskService.get_by_id(task_id)
if not ok:
return get_error_data_result(message="RAPTOR Task Not Found or Error Occurred")
return get_json_result(data=task.to_dict())
@manager.route("/run_mindmap", methods=["POST"]) # noqa: F821
@login_required
def run_mindmap():
req = request.json
kb_id = req.get("kb_id", "")
if not kb_id:
return get_error_data_result(message='Lack of "KB ID"')
ok, kb = KnowledgebaseService.get_by_id(kb_id)
if not ok:
return get_error_data_result(message="Invalid Knowledgebase ID")
task_id = kb.mindmap_task_id
if task_id:
ok, task = TaskService.get_by_id(task_id)
if not ok:
logging.warning(f"A valid Mindmap task id is expected for kb {kb_id}")
if task and task.progress not in [-1, 1]:
return get_error_data_result(message=f"Task {task_id} in progress with status {task.progress}. A Mindmap Task is already running.")
documents, _ = DocumentService.get_by_kb_id(
kb_id=kb_id,
page_number=0,
items_per_page=0,
orderby="create_time",
desc=False,
keywords="",
run_status=[],
types=[],
suffix=[],
)
if not documents:
return get_error_data_result(message=f"No documents in Knowledgebase {kb_id}")
sample_document = documents[0]
document_ids = [document["id"] for document in documents]
task_id = queue_raptor_o_graphrag_tasks(sample_doc_id=sample_document, ty="mindmap", priority=0, fake_doc_id=GRAPH_RAPTOR_FAKE_DOC_ID, doc_ids=list(document_ids))
if not KnowledgebaseService.update_by_id(kb.id, {"mindmap_task_id": task_id}):
logging.warning(f"Cannot save mindmap_task_id for kb {kb_id}")
return get_json_result(data={"mindmap_task_id": task_id})
@manager.route("/trace_mindmap", methods=["GET"]) # noqa: F821
@login_required
def trace_mindmap():
kb_id = request.args.get("kb_id", "")
if not kb_id:
return get_error_data_result(message='Lack of "KB ID"')
ok, kb = KnowledgebaseService.get_by_id(kb_id)
if not ok:
return get_error_data_result(message="Invalid Knowledgebase ID")
task_id = kb.mindmap_task_id
if not task_id:
return get_json_result(data={})
ok, task = TaskService.get_by_id(task_id)
if not ok:
return get_error_data_result(message="Mindmap Task Not Found or Error Occurred")
return get_json_result(data=task.to_dict())
@manager.route("/unbind_task", methods=["DELETE"]) # noqa: F821
@login_required
def delete_kb_task():
kb_id = request.args.get("kb_id", "")
if not kb_id:
return get_error_data_result(message='Lack of "KB ID"')
ok, kb = KnowledgebaseService.get_by_id(kb_id)
if not ok:
return get_json_result(data=True)
pipeline_task_type = request.args.get("pipeline_task_type", "")
if not pipeline_task_type or pipeline_task_type not in [PipelineTaskType.GRAPH_RAG, PipelineTaskType.RAPTOR, PipelineTaskType.MINDMAP]:
return get_error_data_result(message="Invalid task type")
match pipeline_task_type:
case PipelineTaskType.GRAPH_RAG:
settings.docStoreConn.delete({"knowledge_graph_kwd": ["graph", "subgraph", "entity", "relation"]}, search.index_name(kb.tenant_id), kb_id)
kb_task_id_field = "graphrag_task_id"
task_id = kb.graphrag_task_id
kb_task_finish_at = "graphrag_task_finish_at"
case PipelineTaskType.RAPTOR:
kb_task_id_field = "raptor_task_id"
task_id = kb.raptor_task_id
kb_task_finish_at = "raptor_task_finish_at"
case PipelineTaskType.MINDMAP:
kb_task_id_field = "mindmap_task_id"
task_id = kb.mindmap_task_id
kb_task_finish_at = "mindmap_task_finish_at"
case _:
return get_error_data_result(message="Internal Error: Invalid task type")
def cancel_task(task_id):
REDIS_CONN.set(f"{task_id}-cancel", "x")
cancel_task(task_id)
ok = KnowledgebaseService.update_by_id(kb_id, {kb_task_id_field: "", kb_task_finish_at: None})
if not ok:
return server_error_response(f"Internal error: cannot delete task {pipeline_task_type}")
return get_json_result(data=True)

View File

@ -194,6 +194,9 @@ def add_llm():
elif factory == "Azure-OpenAI":
api_key = apikey_json(["api_key", "api_version"])
elif factory == "OpenRouter":
api_key = apikey_json(["api_key", "provider_order"])
llm = {
"tenant_id": current_user.id,
"llm_factory": factory,

View File

@ -1,8 +1,26 @@
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from flask import Response
from flask_login import login_required
from api.utils.api_utils import get_json_result
from plugin import GlobalPluginManager
@manager.route('/llm_tools', methods=['GET']) # noqa: F821
@login_required
def llm_tools() -> Response:

View File

@ -25,6 +25,7 @@ from api.utils.api_utils import get_data_error_result, get_error_data_result, ge
from api.utils.api_utils import get_result
from flask import request
@manager.route('/agents', methods=['GET']) # noqa: F821
@token_required
def list_agents(tenant_id):
@ -41,7 +42,7 @@ def list_agents(tenant_id):
desc = False
else:
desc = True
canvas = UserCanvasService.get_list(tenant_id,page_number,items_per_page,orderby,desc,id,title)
canvas = UserCanvasService.get_list(tenant_id, page_number, items_per_page, orderby, desc, id, title)
return get_result(data=canvas)
@ -93,7 +94,7 @@ def update_agent(tenant_id: str, agent_id: str):
req["dsl"] = json.dumps(req["dsl"], ensure_ascii=False)
req["dsl"] = json.loads(req["dsl"])
if req.get("title") is not None:
req["title"] = req["title"].strip()

View File

@ -215,7 +215,8 @@ def delete(tenant_id):
continue
kb_id_instance_pairs.append((kb_id, kb))
if len(error_kb_ids) > 0:
return get_error_permission_result(message=f"""User '{tenant_id}' lacks permission for datasets: '{", ".join(error_kb_ids)}'""")
return get_error_permission_result(
message=f"""User '{tenant_id}' lacks permission for datasets: '{", ".join(error_kb_ids)}'""")
errors = []
success_count = 0
@ -232,7 +233,8 @@ def delete(tenant_id):
]
)
File2DocumentService.delete_by_document_id(doc.id)
FileService.filter_delete([File.source_type == FileSource.KNOWLEDGEBASE, File.type == "folder", File.name == kb.name])
FileService.filter_delete(
[File.source_type == FileSource.KNOWLEDGEBASE, File.type == "folder", File.name == kb.name])
if not KnowledgebaseService.delete_by_id(kb_id):
errors.append(f"Delete dataset error for {kb_id}")
continue
@ -329,7 +331,8 @@ def update(tenant_id, dataset_id):
try:
kb = KnowledgebaseService.get_or_none(id=dataset_id, tenant_id=tenant_id)
if kb is None:
return get_error_permission_result(message=f"User '{tenant_id}' lacks permission for dataset '{dataset_id}'")
return get_error_permission_result(
message=f"User '{tenant_id}' lacks permission for dataset '{dataset_id}'")
if req.get("parser_config"):
req["parser_config"] = deep_merge(kb.parser_config, req["parser_config"])
@ -341,7 +344,8 @@ def update(tenant_id, dataset_id):
del req["parser_config"]
if "name" in req and req["name"].lower() != kb.name.lower():
exists = KnowledgebaseService.get_or_none(name=req["name"], tenant_id=tenant_id, status=StatusEnum.VALID.value)
exists = KnowledgebaseService.get_or_none(name=req["name"], tenant_id=tenant_id,
status=StatusEnum.VALID.value)
if exists:
return get_error_data_result(message=f"Dataset name '{req['name']}' already exists")
@ -349,7 +353,8 @@ def update(tenant_id, dataset_id):
if not req["embd_id"]:
req["embd_id"] = kb.embd_id
if kb.chunk_num != 0 and req["embd_id"] != kb.embd_id:
return get_error_data_result(message=f"When chunk_num ({kb.chunk_num}) > 0, embedding_model must remain {kb.embd_id}")
return get_error_data_result(
message=f"When chunk_num ({kb.chunk_num}) > 0, embedding_model must remain {kb.embd_id}")
ok, err = verify_embedding_availability(req["embd_id"], tenant_id)
if not ok:
return err
@ -359,10 +364,12 @@ def update(tenant_id, dataset_id):
return get_error_argument_result(message="'pagerank' can only be set when doc_engine is elasticsearch")
if req["pagerank"] > 0:
settings.docStoreConn.update({"kb_id": kb.id}, {PAGERANK_FLD: req["pagerank"]}, search.index_name(kb.tenant_id), kb.id)
settings.docStoreConn.update({"kb_id": kb.id}, {PAGERANK_FLD: req["pagerank"]},
search.index_name(kb.tenant_id), kb.id)
else:
# Elasticsearch requires PAGERANK_FLD be non-zero!
settings.docStoreConn.update({"exists": PAGERANK_FLD}, {"remove": PAGERANK_FLD}, search.index_name(kb.tenant_id), kb.id)
settings.docStoreConn.update({"exists": PAGERANK_FLD}, {"remove": PAGERANK_FLD},
search.index_name(kb.tenant_id), kb.id)
if not KnowledgebaseService.update_by_id(kb.id, req):
return get_error_data_result(message="Update dataset error.(Database error)")
@ -454,7 +461,7 @@ def list_datasets(tenant_id):
return get_error_permission_result(message=f"User '{tenant_id}' lacks permission for dataset '{name}'")
tenants = TenantService.get_joined_tenants_by_user_id(tenant_id)
kbs = KnowledgebaseService.get_list(
kbs, total = KnowledgebaseService.get_list(
[m["tenant_id"] for m in tenants],
tenant_id,
args["page"],
@ -468,14 +475,15 @@ def list_datasets(tenant_id):
response_data_list = []
for kb in kbs:
response_data_list.append(remap_dictionary_keys(kb))
return get_result(data=response_data_list)
return get_result(data=response_data_list, total=total)
except OperationalError as e:
logging.exception(e)
return get_error_data_result(message="Database operation failed")
@manager.route('/datasets/<dataset_id>/knowledge_graph', methods=['GET']) # noqa: F821
@token_required
def knowledge_graph(tenant_id,dataset_id):
def knowledge_graph(tenant_id, dataset_id):
if not KnowledgebaseService.accessible(dataset_id, tenant_id):
return get_result(
data=False,
@ -491,7 +499,7 @@ def knowledge_graph(tenant_id,dataset_id):
obj = {"graph": {}, "mind_map": {}}
if not settings.docStoreConn.indexExist(search.index_name(kb.tenant_id), dataset_id):
return get_result(data=obj)
sres = settings.retrievaler.search(req, search.index_name(kb.tenant_id), [dataset_id])
sres = settings.retriever.search(req, search.index_name(kb.tenant_id), [dataset_id])
if not len(sres.ids):
return get_result(data=obj)
@ -507,14 +515,16 @@ def knowledge_graph(tenant_id,dataset_id):
if "nodes" in obj["graph"]:
obj["graph"]["nodes"] = sorted(obj["graph"]["nodes"], key=lambda x: x.get("pagerank", 0), reverse=True)[:256]
if "edges" in obj["graph"]:
node_id_set = { o["id"] for o in obj["graph"]["nodes"] }
filtered_edges = [o for o in obj["graph"]["edges"] if o["source"] != o["target"] and o["source"] in node_id_set and o["target"] in node_id_set]
node_id_set = {o["id"] for o in obj["graph"]["nodes"]}
filtered_edges = [o for o in obj["graph"]["edges"] if
o["source"] != o["target"] and o["source"] in node_id_set and o["target"] in node_id_set]
obj["graph"]["edges"] = sorted(filtered_edges, key=lambda x: x.get("weight", 0), reverse=True)[:128]
return get_result(data=obj)
@manager.route('/datasets/<dataset_id>/knowledge_graph', methods=['DELETE']) # noqa: F821
@token_required
def delete_knowledge_graph(tenant_id,dataset_id):
def delete_knowledge_graph(tenant_id, dataset_id):
if not KnowledgebaseService.accessible(dataset_id, tenant_id):
return get_result(
data=False,
@ -522,6 +532,7 @@ def delete_knowledge_graph(tenant_id,dataset_id):
code=settings.RetCode.AUTHENTICATION_ERROR
)
_, kb = KnowledgebaseService.get_by_id(dataset_id)
settings.docStoreConn.delete({"knowledge_graph_kwd": ["graph", "subgraph", "entity", "relation"]}, search.index_name(kb.tenant_id), dataset_id)
settings.docStoreConn.delete({"knowledge_graph_kwd": ["graph", "subgraph", "entity", "relation"]},
search.index_name(kb.tenant_id), dataset_id)
return get_result(data=True)

View File

@ -1,4 +1,4 @@
#
#
# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
@ -31,6 +31,89 @@ from api.db.services.dialog_service import meta_filter, convert_conditions
@apikey_required
@validate_request("knowledge_id", "query")
def retrieval(tenant_id):
"""
Dify-compatible retrieval API
---
tags:
- SDK
security:
- ApiKeyAuth: []
parameters:
- in: body
name: body
required: true
schema:
type: object
required:
- knowledge_id
- query
properties:
knowledge_id:
type: string
description: Knowledge base ID
query:
type: string
description: Query text
use_kg:
type: boolean
description: Whether to use knowledge graph
default: false
retrieval_setting:
type: object
description: Retrieval configuration
properties:
score_threshold:
type: number
description: Similarity threshold
default: 0.0
top_k:
type: integer
description: Number of results to return
default: 1024
metadata_condition:
type: object
description: Metadata filter condition
properties:
conditions:
type: array
items:
type: object
properties:
name:
type: string
description: Field name
comparison_operator:
type: string
description: Comparison operator
value:
type: string
description: Field value
responses:
200:
description: Retrieval succeeded
schema:
type: object
properties:
records:
type: array
items:
type: object
properties:
content:
type: string
description: Content text
score:
type: number
description: Similarity score
title:
type: string
description: Document title
metadata:
type: object
description: Metadata info
404:
description: Knowledge base or document not found
"""
req = request.json
question = req["query"]
kb_id = req["knowledge_id"]
@ -38,9 +121,9 @@ def retrieval(tenant_id):
retrieval_setting = req.get("retrieval_setting", {})
similarity_threshold = float(retrieval_setting.get("score_threshold", 0.0))
top = int(retrieval_setting.get("top_k", 1024))
metadata_condition = req.get("metadata_condition",{})
metadata_condition = req.get("metadata_condition", {})
metas = DocumentService.get_meta_by_kbs([kb_id])
doc_ids = []
try:
@ -50,12 +133,12 @@ def retrieval(tenant_id):
embd_mdl = LLMBundle(kb.tenant_id, LLMType.EMBEDDING.value, llm_name=kb.embd_id)
print(metadata_condition)
print("after",convert_conditions(metadata_condition))
# print("after", convert_conditions(metadata_condition))
doc_ids.extend(meta_filter(metas, convert_conditions(metadata_condition)))
print("doc_ids",doc_ids)
# print("doc_ids", doc_ids)
if not doc_ids and metadata_condition is not None:
doc_ids = ['-999']
ranks = settings.retrievaler.retrieval(
ranks = settings.retriever.retrieval(
question,
embd_mdl,
kb.tenant_id,
@ -70,17 +153,17 @@ def retrieval(tenant_id):
)
if use_kg:
ck = settings.kg_retrievaler.retrieval(question,
[tenant_id],
[kb_id],
embd_mdl,
LLMBundle(kb.tenant_id, LLMType.CHAT))
ck = settings.kg_retriever.retrieval(question,
[tenant_id],
[kb_id],
embd_mdl,
LLMBundle(kb.tenant_id, LLMType.CHAT))
if ck["content_with_weight"]:
ranks["chunks"].insert(0, ck)
records = []
for c in ranks["chunks"]:
e, doc = DocumentService.get_by_id( c["doc_id"])
e, doc = DocumentService.get_by_id(c["doc_id"])
c.pop("vector", None)
meta = getattr(doc, 'meta_fields', {})
meta["doc_id"] = c["doc_id"]
@ -100,5 +183,3 @@ def retrieval(tenant_id):
)
logging.exception(e)
return build_error_result(message=str(e), code=settings.RetCode.SERVER_ERROR)

View File

@ -40,7 +40,7 @@ from api.utils.api_utils import check_duplicate_ids, construct_json_result, get_
from rag.app.qa import beAdoc, rmPrefix
from rag.app.tag import label_question
from rag.nlp import rag_tokenizer, search
from rag.prompts import cross_languages, keyword_extraction
from rag.prompts.generator import cross_languages, keyword_extraction
from rag.utils import rmSpace
from rag.utils.storage_factory import STORAGE_IMPL
@ -458,7 +458,7 @@ def list_docs(dataset_id, tenant_id):
required: false
default: true
description: Order in descending.
- in: query
- in: query
name: create_time_from
type: integer
required: false
@ -470,6 +470,20 @@ def list_docs(dataset_id, tenant_id):
required: false
default: 0
description: Unix timestamp for filtering documents created before this time. 0 means no filter.
- in: query
name: suffix
type: array
items:
type: string
required: false
description: Filter by file suffix (e.g., ["pdf", "txt", "docx"]).
- in: query
name: run
type: array
items:
type: string
required: false
description: Filter by document run status. Supports both numeric ("0", "1", "2", "3", "4") and text formats ("UNSTART", "RUNNING", "CANCEL", "DONE", "FAIL").
- in: header
name: Authorization
type: string
@ -512,63 +526,62 @@ def list_docs(dataset_id, tenant_id):
description: Processing status.
"""
if not KnowledgebaseService.accessible(kb_id=dataset_id, user_id=tenant_id):
return get_error_data_result(message=f"You don't own the dataset {dataset_id}. ")
id = request.args.get("id")
name = request.args.get("name")
return get_error_data_result(message=f"You don't own the dataset {dataset_id}. ")
if id and not DocumentService.query(id=id, kb_id=dataset_id):
return get_error_data_result(message=f"You don't own the document {id}.")
q = request.args
document_id = q.get("id")
name = q.get("name")
if document_id and not DocumentService.query(id=document_id, kb_id=dataset_id):
return get_error_data_result(message=f"You don't own the document {document_id}.")
if name and not DocumentService.query(name=name, kb_id=dataset_id):
return get_error_data_result(message=f"You don't own the document {name}.")
page = int(request.args.get("page", 1))
keywords = request.args.get("keywords", "")
page_size = int(request.args.get("page_size", 30))
orderby = request.args.get("orderby", "create_time")
if request.args.get("desc") == "False":
desc = False
else:
desc = True
docs, tol = DocumentService.get_list(dataset_id, page, page_size, orderby, desc, keywords, id, name)
page = int(q.get("page", 1))
page_size = int(q.get("page_size", 30))
orderby = q.get("orderby", "create_time")
desc = str(q.get("desc", "true")).strip().lower() != "false"
keywords = q.get("keywords", "")
create_time_from = int(request.args.get("create_time_from", 0))
create_time_to = int(request.args.get("create_time_to", 0))
# filters - align with OpenAPI parameter names
suffix = q.getlist("suffix")
run_status = q.getlist("run")
create_time_from = int(q.get("create_time_from", 0))
create_time_to = int(q.get("create_time_to", 0))
# map run status (accept text or numeric) - align with API parameter
run_status_text_to_numeric = {"UNSTART": "0", "RUNNING": "1", "CANCEL": "2", "DONE": "3", "FAIL": "4"}
run_status_converted = [run_status_text_to_numeric.get(v, v) for v in run_status]
docs, total = DocumentService.get_list(
dataset_id, page, page_size, orderby, desc, keywords, document_id, name, suffix, run_status_converted
)
# time range filter (0 means no bound)
if create_time_from or create_time_to:
filtered_docs = []
for doc in docs:
doc_create_time = doc.get("create_time", 0)
if (create_time_from == 0 or doc_create_time >= create_time_from) and (create_time_to == 0 or doc_create_time <= create_time_to):
filtered_docs.append(doc)
docs = filtered_docs
docs = [
d for d in docs
if (create_time_from == 0 or d.get("create_time", 0) >= create_time_from)
and (create_time_to == 0 or d.get("create_time", 0) <= create_time_to)
]
# rename key's name
renamed_doc_list = []
# rename keys + map run status back to text for output
key_mapping = {
"chunk_num": "chunk_count",
"kb_id": "dataset_id",
"kb_id": "dataset_id",
"token_num": "token_count",
"parser_id": "chunk_method",
}
run_mapping = {
"0": "UNSTART",
"1": "RUNNING",
"2": "CANCEL",
"3": "DONE",
"4": "FAIL",
}
for doc in docs:
renamed_doc = {}
for key, value in doc.items():
if key == "run":
renamed_doc["run"] = run_mapping.get(str(value))
new_key = key_mapping.get(key, key)
renamed_doc[new_key] = value
if key == "run":
renamed_doc["run"] = run_mapping.get(value)
renamed_doc_list.append(renamed_doc)
return get_result(data={"total": tol, "docs": renamed_doc_list})
run_status_numeric_to_text = {"0": "UNSTART", "1": "RUNNING", "2": "CANCEL", "3": "DONE", "4": "FAIL"}
output_docs = []
for d in docs:
renamed_doc = {key_mapping.get(k, k): v for k, v in d.items()}
if "run" in d:
renamed_doc["run"] = run_status_numeric_to_text.get(str(d["run"]), d["run"])
output_docs.append(renamed_doc)
return get_result(data={"total": total, "docs": output_docs})
@manager.route("/datasets/<dataset_id>/documents", methods=["DELETE"]) # noqa: F821
@token_required
@ -982,7 +995,7 @@ def list_chunks(tenant_id, dataset_id, document_id):
_ = Chunk(**final_chunk)
elif settings.docStoreConn.indexExist(search.index_name(tenant_id), dataset_id):
sres = settings.retrievaler.search(query, search.index_name(tenant_id), [dataset_id], emb_mdl=None, highlight=True)
sres = settings.retriever.search(query, search.index_name(tenant_id), [dataset_id], emb_mdl=None, highlight=True)
res["total"] = sres.total
for id in sres.ids:
d = {
@ -1446,7 +1459,7 @@ def retrieval_test(tenant_id):
chat_mdl = LLMBundle(kb.tenant_id, LLMType.CHAT)
question += keyword_extraction(chat_mdl, question)
ranks = settings.retrievaler.retrieval(
ranks = settings.retriever.retrieval(
question,
embd_mdl,
tenant_ids,
@ -1462,7 +1475,7 @@ def retrieval_test(tenant_id):
rank_feature=label_question(question, kbs),
)
if use_kg:
ck = settings.kg_retrievaler.retrieval(question, [k.tenant_id for k in kbs], kb_ids, embd_mdl, LLMBundle(kb.tenant_id, LLMType.CHAT))
ck = settings.kg_retriever.retrieval(question, [k.tenant_id for k in kbs], kb_ids, embd_mdl, LLMBundle(kb.tenant_id, LLMType.CHAT))
if ck["content_with_weight"]:
ranks["chunks"].insert(0, ck)

View File

@ -1,11 +1,30 @@
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import pathlib
import re
import flask
from flask import request
from pathlib import Path
from api.db.services.document_service import DocumentService
from api.db.services.file2document_service import File2DocumentService
from api.db.services.knowledgebase_service import KnowledgebaseService
from api.utils.api_utils import server_error_response, token_required
from api.utils import get_uuid
from api.db import FileType
@ -15,7 +34,8 @@ from api.utils.api_utils import get_json_result
from api.utils.file_utils import filename_type
from rag.utils.storage_factory import STORAGE_IMPL
@manager.route('/file/upload', methods=['POST']) # noqa: F821
@manager.route('/file/upload', methods=['POST']) # noqa: F821
@token_required
def upload(tenant_id):
"""
@ -42,22 +62,22 @@ def upload(tenant_id):
type: object
properties:
data:
type: array
items:
type: object
properties:
id:
type: string
description: File ID
name:
type: string
description: File name
size:
type: integer
description: File size in bytes
type:
type: string
description: File type (e.g., document, folder)
type: array
items:
type: object
properties:
id:
type: string
description: File ID
name:
type: string
description: File name
size:
type: integer
description: File size in bytes
type:
type: string
description: File type (e.g., document, folder)
"""
pf_id = request.form.get("parent_id")
@ -81,26 +101,28 @@ def upload(tenant_id):
return get_json_result(data=False, message="Can't find this folder!", code=404)
for file_obj in file_objs:
# 文件路径处理
# Handle file path
full_path = '/' + file_obj.filename
file_obj_names = full_path.split('/')
file_len = len(file_obj_names)
# 获取文件夹路径ID
# Get folder path ID
file_id_list = FileService.get_id_list_by_id(pf_id, file_obj_names, 1, [pf_id])
len_id_list = len(file_id_list)
# 创建文件夹结构
# Crete file folder
if file_len != len_id_list:
e, file = FileService.get_by_id(file_id_list[len_id_list - 1])
if not e:
return get_json_result(data=False, message="Folder not found!", code=404)
last_folder = FileService.create_folder(file, file_id_list[len_id_list - 1], file_obj_names, len_id_list)
last_folder = FileService.create_folder(file, file_id_list[len_id_list - 1], file_obj_names,
len_id_list)
else:
e, file = FileService.get_by_id(file_id_list[len_id_list - 2])
if not e:
return get_json_result(data=False, message="Folder not found!", code=404)
last_folder = FileService.create_folder(file, file_id_list[len_id_list - 2], file_obj_names, len_id_list)
last_folder = FileService.create_folder(file, file_id_list[len_id_list - 2], file_obj_names,
len_id_list)
filetype = filename_type(file_obj_names[file_len - 1])
location = file_obj_names[file_len - 1]
@ -127,7 +149,7 @@ def upload(tenant_id):
return server_error_response(e)
@manager.route('/file/create', methods=['POST']) # noqa: F821
@manager.route('/file/create', methods=['POST']) # noqa: F821
@token_required
def create(tenant_id):
"""
@ -205,7 +227,7 @@ def create(tenant_id):
return server_error_response(e)
@manager.route('/file/list', methods=['GET']) # noqa: F821
@manager.route('/file/list', methods=['GET']) # noqa: F821
@token_required
def list_files(tenant_id):
"""
@ -297,7 +319,7 @@ def list_files(tenant_id):
return server_error_response(e)
@manager.route('/file/root_folder', methods=['GET']) # noqa: F821
@manager.route('/file/root_folder', methods=['GET']) # noqa: F821
@token_required
def get_root_folder(tenant_id):
"""
@ -333,7 +355,7 @@ def get_root_folder(tenant_id):
return server_error_response(e)
@manager.route('/file/parent_folder', methods=['GET']) # noqa: F821
@manager.route('/file/parent_folder', methods=['GET']) # noqa: F821
@token_required
def get_parent_folder():
"""
@ -378,7 +400,7 @@ def get_parent_folder():
return server_error_response(e)
@manager.route('/file/all_parent_folder', methods=['GET']) # noqa: F821
@manager.route('/file/all_parent_folder', methods=['GET']) # noqa: F821
@token_required
def get_all_parent_folders(tenant_id):
"""
@ -426,7 +448,7 @@ def get_all_parent_folders(tenant_id):
return server_error_response(e)
@manager.route('/file/rm', methods=['POST']) # noqa: F821
@manager.route('/file/rm', methods=['POST']) # noqa: F821
@token_required
def rm(tenant_id):
"""
@ -500,7 +522,7 @@ def rm(tenant_id):
return server_error_response(e)
@manager.route('/file/rename', methods=['POST']) # noqa: F821
@manager.route('/file/rename', methods=['POST']) # noqa: F821
@token_required
def rename(tenant_id):
"""
@ -540,7 +562,8 @@ def rename(tenant_id):
if not e:
return get_json_result(message="File not found!", code=404)
if file.type != FileType.FOLDER.value and pathlib.Path(req["name"].lower()).suffix != pathlib.Path(file.name.lower()).suffix:
if file.type != FileType.FOLDER.value and pathlib.Path(req["name"].lower()).suffix != pathlib.Path(
file.name.lower()).suffix:
return get_json_result(data=False, message="The extension of file can't be changed", code=400)
for existing_file in FileService.query(name=req["name"], pf_id=file.parent_id):
@ -560,9 +583,9 @@ def rename(tenant_id):
return server_error_response(e)
@manager.route('/file/get/<file_id>', methods=['GET']) # noqa: F821
@manager.route('/file/get/<file_id>', methods=['GET']) # noqa: F821
@token_required
def get(tenant_id,file_id):
def get(tenant_id, file_id):
"""
Download a file.
---
@ -608,7 +631,7 @@ def get(tenant_id,file_id):
return server_error_response(e)
@manager.route('/file/mv', methods=['POST']) # noqa: F821
@manager.route('/file/mv', methods=['POST']) # noqa: F821
@token_required
def move(tenant_id):
"""
@ -666,3 +689,72 @@ def move(tenant_id):
return get_json_result(data=True)
except Exception as e:
return server_error_response(e)
@manager.route('/file/convert', methods=['POST']) # noqa: F821
@token_required
def convert(tenant_id):
req = request.json
kb_ids = req["kb_ids"]
file_ids = req["file_ids"]
file2documents = []
try:
files = FileService.get_by_ids(file_ids)
files_set = dict({file.id: file for file in files})
for file_id in file_ids:
file = files_set[file_id]
if not file:
return get_json_result(message="File not found!", code=404)
file_ids_list = [file_id]
if file.type == FileType.FOLDER.value:
file_ids_list = FileService.get_all_innermost_file_ids(file_id, [])
for id in file_ids_list:
informs = File2DocumentService.get_by_file_id(id)
# delete
for inform in informs:
doc_id = inform.document_id
e, doc = DocumentService.get_by_id(doc_id)
if not e:
return get_json_result(message="Document not found!", code=404)
tenant_id = DocumentService.get_tenant_id(doc_id)
if not tenant_id:
return get_json_result(message="Tenant not found!", code=404)
if not DocumentService.remove_document(doc, tenant_id):
return get_json_result(
message="Database error (Document removal)!", code=404)
File2DocumentService.delete_by_file_id(id)
# insert
for kb_id in kb_ids:
e, kb = KnowledgebaseService.get_by_id(kb_id)
if not e:
return get_json_result(
message="Can't find this knowledgebase!", code=404)
e, file = FileService.get_by_id(id)
if not e:
return get_json_result(
message="Can't find this file!", code=404)
doc = DocumentService.insert({
"id": get_uuid(),
"kb_id": kb.id,
"parser_id": FileService.get_parser(file.type, file.name, kb.parser_id),
"parser_config": kb.parser_config,
"created_by": tenant_id,
"type": file.type,
"name": file.name,
"suffix": Path(file.name).suffix.lstrip("."),
"location": file.location,
"size": file.size
})
file2document = File2DocumentService.insert({
"id": get_uuid(),
"file_id": id,
"document_id": doc.id,
})
file2documents.append(file2document.to_json())
return get_json_result(data=file2documents)
except Exception as e:
return server_error_response(e)

View File

@ -36,11 +36,11 @@ from api.db.services.llm_service import LLMBundle
from api.db.services.search_service import SearchService
from api.db.services.user_service import UserTenantService
from api.utils import get_uuid
from api.utils.api_utils import check_duplicate_ids, get_data_openai, get_error_data_result, get_json_result, get_result, server_error_response, token_required, validate_request
from api.utils.api_utils import check_duplicate_ids, get_data_openai, get_error_data_result, get_json_result, \
get_result, server_error_response, token_required, validate_request
from rag.app.tag import label_question
from rag.prompts import chunks_format
from rag.prompts.prompt_template import load_prompt
from rag.prompts.prompts import cross_languages, gen_meta_filter, keyword_extraction
from rag.prompts.template import load_prompt
from rag.prompts.generator import cross_languages, gen_meta_filter, keyword_extraction, chunks_format
@manager.route("/chats/<chat_id>/sessions", methods=["POST"]) # noqa: F821
@ -89,7 +89,8 @@ def create_agent_session(tenant_id, agent_id):
canvas.reset()
cvs.dsl = json.loads(str(canvas))
conv = {"id": session_id, "dialog_id": cvs.id, "user_id": user_id, "message": [{"role": "assistant", "content": canvas.get_prologue()}], "source": "agent", "dsl": cvs.dsl}
conv = {"id": session_id, "dialog_id": cvs.id, "user_id": user_id,
"message": [{"role": "assistant", "content": canvas.get_prologue()}], "source": "agent", "dsl": cvs.dsl}
API4ConversationService.save(**conv)
conv["agent_id"] = conv.pop("dialog_id")
return get_result(data=conv)
@ -280,7 +281,7 @@ def chat_completion_openai_like(tenant_id, chat_id):
reasoning_match = re.search(r"<think>(.*?)</think>", answer, flags=re.DOTALL)
if reasoning_match:
reasoning_part = reasoning_match.group(1)
content_part = answer[reasoning_match.end() :]
content_part = answer[reasoning_match.end():]
else:
reasoning_part = ""
content_part = answer
@ -325,7 +326,8 @@ def chat_completion_openai_like(tenant_id, chat_id):
response["choices"][0]["delta"]["content"] = None
response["choices"][0]["delta"]["reasoning_content"] = None
response["choices"][0]["finish_reason"] = "stop"
response["usage"] = {"prompt_tokens": len(prompt), "completion_tokens": token_used, "total_tokens": len(prompt) + token_used}
response["usage"] = {"prompt_tokens": len(prompt), "completion_tokens": token_used,
"total_tokens": len(prompt) + token_used}
if need_reference:
response["choices"][0]["delta"]["reference"] = chunks_format(last_ans.get("reference", []))
response["choices"][0]["delta"]["final_content"] = last_ans.get("answer", "")
@ -414,7 +416,7 @@ def agents_completion_openai_compatibility(tenant_id, agent_id):
tenant_id,
agent_id,
question,
session_id=req.get("session_id", req.get("id", "") or req.get("metadata", {}).get("id", "")),
session_id=req.pop("session_id", req.get("id", "")) or req.get("metadata", {}).get("id", ""),
stream=True,
**req,
),
@ -432,7 +434,7 @@ def agents_completion_openai_compatibility(tenant_id, agent_id):
tenant_id,
agent_id,
question,
session_id=req.get("session_id", req.get("id", "") or req.get("metadata", {}).get("id", "")),
session_id=req.pop("session_id", req.get("id", "")) or req.get("metadata", {}).get("id", ""),
stream=False,
**req,
)
@ -560,7 +562,8 @@ def list_agent_session(tenant_id, agent_id):
desc = True
# dsl defaults to True in all cases except for False and false
include_dsl = request.args.get("dsl") != "False" and request.args.get("dsl") != "false"
total, convs = API4ConversationService.get_list(agent_id, tenant_id, page_number, items_per_page, orderby, desc, id, user_id, include_dsl)
total, convs = API4ConversationService.get_list(agent_id, tenant_id, page_number, items_per_page, orderby, desc, id,
user_id, include_dsl)
if not convs:
return get_result(data=[])
for conv in convs:
@ -582,7 +585,8 @@ def list_agent_session(tenant_id, agent_id):
if message_num != 0 and messages[message_num]["role"] != "user":
chunk_list = []
# Add boundary and type checks to prevent KeyError
if chunk_num < len(conv["reference"]) and conv["reference"][chunk_num] is not None and isinstance(conv["reference"][chunk_num], dict) and "chunks" in conv["reference"][chunk_num]:
if chunk_num < len(conv["reference"]) and conv["reference"][chunk_num] is not None and isinstance(
conv["reference"][chunk_num], dict) and "chunks" in conv["reference"][chunk_num]:
chunks = conv["reference"][chunk_num]["chunks"]
for chunk in chunks:
# Ensure chunk is a dictionary before calling get method
@ -640,13 +644,16 @@ def delete(tenant_id, chat_id):
if errors:
if success_count > 0:
return get_result(data={"success_count": success_count, "errors": errors}, message=f"Partially deleted {success_count} sessions with {len(errors)} errors")
return get_result(data={"success_count": success_count, "errors": errors},
message=f"Partially deleted {success_count} sessions with {len(errors)} errors")
else:
return get_error_data_result(message="; ".join(errors))
if duplicate_messages:
if success_count > 0:
return get_result(message=f"Partially deleted {success_count} sessions with {len(duplicate_messages)} errors", data={"success_count": success_count, "errors": duplicate_messages})
return get_result(
message=f"Partially deleted {success_count} sessions with {len(duplicate_messages)} errors",
data={"success_count": success_count, "errors": duplicate_messages})
else:
return get_error_data_result(message=";".join(duplicate_messages))
@ -692,13 +699,16 @@ def delete_agent_session(tenant_id, agent_id):
if errors:
if success_count > 0:
return get_result(data={"success_count": success_count, "errors": errors}, message=f"Partially deleted {success_count} sessions with {len(errors)} errors")
return get_result(data={"success_count": success_count, "errors": errors},
message=f"Partially deleted {success_count} sessions with {len(errors)} errors")
else:
return get_error_data_result(message="; ".join(errors))
if duplicate_messages:
if success_count > 0:
return get_result(message=f"Partially deleted {success_count} sessions with {len(duplicate_messages)} errors", data={"success_count": success_count, "errors": duplicate_messages})
return get_result(
message=f"Partially deleted {success_count} sessions with {len(duplicate_messages)} errors",
data={"success_count": success_count, "errors": duplicate_messages})
else:
return get_error_data_result(message=";".join(duplicate_messages))
@ -731,7 +741,9 @@ def ask_about(tenant_id):
for ans in ask(req["question"], req["kb_ids"], uid):
yield "data:" + json.dumps({"code": 0, "message": "", "data": ans}, ensure_ascii=False) + "\n\n"
except Exception as e:
yield "data:" + json.dumps({"code": 500, "message": str(e), "data": {"answer": "**ERROR**: " + str(e), "reference": []}}, ensure_ascii=False) + "\n\n"
yield "data:" + json.dumps(
{"code": 500, "message": str(e), "data": {"answer": "**ERROR**: " + str(e), "reference": []}},
ensure_ascii=False) + "\n\n"
yield "data:" + json.dumps({"code": 0, "message": "", "data": True}, ensure_ascii=False) + "\n\n"
resp = Response(stream(), mimetype="text/event-stream")
@ -883,7 +895,9 @@ def begin_inputs(agent_id):
return get_error_data_result(f"Can't find agent by ID: {agent_id}")
canvas = Canvas(json.dumps(cvs.dsl), objs[0].tenant_id)
return get_result(data={"title": cvs.title, "avatar": cvs.avatar, "inputs": canvas.get_component_input_form("begin"), "prologue": canvas.get_prologue(), "mode": canvas.get_mode()})
return get_result(
data={"title": cvs.title, "avatar": cvs.avatar, "inputs": canvas.get_component_input_form("begin"),
"prologue": canvas.get_prologue(), "mode": canvas.get_mode()})
@manager.route("/searchbots/ask", methods=["POST"]) # noqa: F821
@ -912,7 +926,9 @@ def ask_about_embedded():
for ans in ask(req["question"], req["kb_ids"], uid, search_config=search_config):
yield "data:" + json.dumps({"code": 0, "message": "", "data": ans}, ensure_ascii=False) + "\n\n"
except Exception as e:
yield "data:" + json.dumps({"code": 500, "message": str(e), "data": {"answer": "**ERROR**: " + str(e), "reference": []}}, ensure_ascii=False) + "\n\n"
yield "data:" + json.dumps(
{"code": 500, "message": str(e), "data": {"answer": "**ERROR**: " + str(e), "reference": []}},
ensure_ascii=False) + "\n\n"
yield "data:" + json.dumps({"code": 0, "message": "", "data": True}, ensure_ascii=False) + "\n\n"
resp = Response(stream(), mimetype="text/event-stream")
@ -979,7 +995,8 @@ def retrieval_test_embedded():
tenant_ids.append(tenant.tenant_id)
break
else:
return get_json_result(data=False, message="Only owner of knowledgebase authorized for this operation.", code=settings.RetCode.OPERATING_ERROR)
return get_json_result(data=False, message="Only owner of knowledgebase authorized for this operation.",
code=settings.RetCode.OPERATING_ERROR)
e, kb = KnowledgebaseService.get_by_id(kb_ids[0])
if not e:
@ -999,11 +1016,13 @@ def retrieval_test_embedded():
question += keyword_extraction(chat_mdl, question)
labels = label_question(question, [kb])
ranks = settings.retrievaler.retrieval(
question, embd_mdl, tenant_ids, kb_ids, page, size, similarity_threshold, vector_similarity_weight, top, doc_ids, rerank_mdl=rerank_mdl, highlight=req.get("highlight"), rank_feature=labels
ranks = settings.retriever.retrieval(
question, embd_mdl, tenant_ids, kb_ids, page, size, similarity_threshold, vector_similarity_weight, top,
doc_ids, rerank_mdl=rerank_mdl, highlight=req.get("highlight"), rank_feature=labels
)
if use_kg:
ck = settings.kg_retrievaler.retrieval(question, tenant_ids, kb_ids, embd_mdl, LLMBundle(kb.tenant_id, LLMType.CHAT))
ck = settings.kg_retriever.retrieval(question, tenant_ids, kb_ids, embd_mdl,
LLMBundle(kb.tenant_id, LLMType.CHAT))
if ck["content_with_weight"]:
ranks["chunks"].insert(0, ck)
@ -1014,7 +1033,8 @@ def retrieval_test_embedded():
return get_json_result(data=ranks)
except Exception as e:
if str(e).find("not_found") > 0:
return get_json_result(data=False, message="No chunk found! Check the chunk status please!", code=settings.RetCode.DATA_ERROR)
return get_json_result(data=False, message="No chunk found! Check the chunk status please!",
code=settings.RetCode.DATA_ERROR)
return server_error_response(e)
@ -1083,7 +1103,8 @@ def detail_share_embedded():
if SearchService.query(tenant_id=tenant.tenant_id, id=search_id):
break
else:
return get_json_result(data=False, message="Has no permission for this operation.", code=settings.RetCode.OPERATING_ERROR)
return get_json_result(data=False, message="Has no permission for this operation.",
code=settings.RetCode.OPERATING_ERROR)
search = SearchService.get_detail(search_id)
if not search:

View File

@ -36,6 +36,9 @@ from rag.utils.storage_factory import STORAGE_IMPL, STORAGE_IMPL_TYPE
from timeit import default_timer as timer
from rag.utils.redis_conn import REDIS_CONN
from flask import jsonify
from api.utils.health_utils import run_health_checks
@manager.route("/version", methods=["GET"]) # noqa: F821
@login_required
@ -159,7 +162,7 @@ def status():
task_executors = REDIS_CONN.smembers("TASKEXE")
now = datetime.now().timestamp()
for task_executor_id in task_executors:
heartbeats = REDIS_CONN.zrangebyscore(task_executor_id, now - 60*30, now)
heartbeats = REDIS_CONN.zrangebyscore(task_executor_id, now - 60 * 30, now)
heartbeats = [json.loads(heartbeat) for heartbeat in heartbeats]
task_executor_heartbeats[task_executor_id] = heartbeats
except Exception:
@ -169,6 +172,17 @@ def status():
return get_json_result(data=res)
@manager.route("/healthz", methods=["GET"]) # noqa: F821
def healthz():
result, all_ok = run_health_checks()
return jsonify(result), (200 if all_ok else 500)
@manager.route("/ping", methods=["GET"]) # noqa: F821
def ping():
return "pong", 200
@manager.route("/new_token", methods=["POST"]) # noqa: F821
@login_required
def new_token():
@ -260,7 +274,8 @@ def token_list():
objs = [o.to_dict() for o in objs]
for o in objs:
if not o["beta"]:
o["beta"] = generate_confirmation_token(generate_confirmation_token(tenants[0].tenant_id)).replace("ragflow-", "")[:32]
o["beta"] = generate_confirmation_token(generate_confirmation_token(tenants[0].tenant_id)).replace(
"ragflow-", "")[:32]
APITokenService.filter_update([APIToken.tenant_id == tenant_id, APIToken.token == o["token"]], o)
return get_json_result(data=objs)
except Exception as e:

View File

@ -70,7 +70,8 @@ def create(tenant_id):
return get_data_error_result(message=f"{invite_user_email} is already in the team.")
if user_tenant_role == UserTenantRole.OWNER:
return get_data_error_result(message=f"{invite_user_email} is the owner of the team.")
return get_data_error_result(message=f"{invite_user_email} is in the team, but the role: {user_tenant_role} is invalid.")
return get_data_error_result(
message=f"{invite_user_email} is in the team, but the role: {user_tenant_role} is invalid.")
UserTenantService.save(
id=get_uuid(),
@ -132,7 +133,8 @@ def tenant_list():
@login_required
def agree(tenant_id):
try:
UserTenantService.filter_update([UserTenant.tenant_id == tenant_id, UserTenant.user_id == current_user.id], {"role": UserTenantRole.NORMAL})
UserTenantService.filter_update([UserTenant.tenant_id == tenant_id, UserTenant.user_id == current_user.id],
{"role": UserTenantRole.NORMAL})
return get_json_result(data=True)
except Exception as e:
return server_error_response(e)

View File

@ -15,11 +15,14 @@
#
import json
import logging
import string
import os
import re
import secrets
import time
from datetime import datetime
from flask import redirect, request, session
from flask import redirect, request, session, make_response
from flask_login import current_user, login_required, login_user, logout_user
from werkzeug.security import check_password_hash, generate_password_hash
@ -34,7 +37,6 @@ from api.db.services.user_service import TenantService, UserService, UserTenantS
from api.utils import (
current_timestamp,
datetime_format,
decrypt,
download_img,
get_format_time,
get_uuid,
@ -46,6 +48,20 @@ from api.utils.api_utils import (
server_error_response,
validate_request,
)
from api.utils.crypt import decrypt
from rag.utils.redis_conn import REDIS_CONN
from api.apps import smtp_mail_server
from api.utils.web_utils import (
send_email_html,
OTP_LENGTH,
OTP_TTL_SECONDS,
ATTEMPT_LIMIT,
ATTEMPT_LOCK_SECONDS,
RESEND_COOLDOWN_SECONDS,
otp_keys,
hash_code,
captcha_key,
)
@manager.route("/login", methods=["POST", "GET"]) # noqa: F821
@ -98,7 +114,14 @@ def login():
return get_json_result(data=False, code=settings.RetCode.SERVER_ERROR, message="Fail to crypt password")
user = UserService.query_user(email, password)
if user:
if user and hasattr(user, 'is_active') and user.is_active == "0":
return get_json_result(
data=False,
code=settings.RetCode.FORBIDDEN,
message="This account has been disabled, please contact the administrator!",
)
elif user:
response_data = user.to_json()
user.access_token = get_uuid()
login_user(user)
@ -227,6 +250,9 @@ def oauth_callback(channel):
# User exists, try to log in
user = users[0]
user.access_token = get_uuid()
if user and hasattr(user, 'is_active') and user.is_active == "0":
return redirect("/?error=user_inactive")
login_user(user)
user.save()
return redirect(f"/?auth={user.get_id()}")
@ -317,6 +343,8 @@ def github_callback():
# User has already registered, try to log in
user = users[0]
user.access_token = get_uuid()
if user and hasattr(user, 'is_active') and user.is_active == "0":
return redirect("/?error=user_inactive")
login_user(user)
user.save()
return redirect("/?auth=%s" % user.get_id())
@ -418,6 +446,8 @@ def feishu_callback():
# User has already registered, try to log in
user = users[0]
if user and hasattr(user, 'is_active') and user.is_active == "0":
return redirect("/?error=user_inactive")
user.access_token = get_uuid()
login_user(user)
user.save()
@ -811,3 +841,172 @@ def set_tenant_info():
return get_json_result(data=True)
except Exception as e:
return server_error_response(e)
@manager.route("/forget/captcha", methods=["GET"]) # noqa: F821
def forget_get_captcha():
"""
GET /forget/captcha?email=<email>
- Generate an image captcha and cache it in Redis under key captcha:{email} with TTL = OTP_TTL_SECONDS.
- Returns the captcha as a PNG image.
"""
email = (request.args.get("email") or "")
if not email:
return get_json_result(data=False, code=settings.RetCode.ARGUMENT_ERROR, message="email is required")
users = UserService.query(email=email)
if not users:
return get_json_result(data=False, code=settings.RetCode.DATA_ERROR, message="invalid email")
# Generate captcha text
allowed = string.ascii_uppercase + string.digits
captcha_text = "".join(secrets.choice(allowed) for _ in range(OTP_LENGTH))
REDIS_CONN.set(captcha_key(email), captcha_text, 60) # Valid for 60 seconds
from captcha.image import ImageCaptcha
image = ImageCaptcha(width=300, height=120, font_sizes=[50, 60, 70])
img_bytes = image.generate(captcha_text).read()
response = make_response(img_bytes)
response.headers.set("Content-Type", "image/JPEG")
return response
@manager.route("/forget/otp", methods=["POST"]) # noqa: F821
def forget_send_otp():
"""
POST /forget/otp
- Verify the image captcha stored at captcha:{email} (case-insensitive).
- On success, generate an email OTP (AZ with length = OTP_LENGTH), store hash + salt (and timestamp) in Redis with TTL, reset attempts and cooldown, and send the OTP via email.
"""
req = request.get_json()
email = req.get("email") or ""
captcha = (req.get("captcha") or "").strip()
if not email or not captcha:
return get_json_result(data=False, code=settings.RetCode.ARGUMENT_ERROR, message="email and captcha required")
users = UserService.query(email=email)
if not users:
return get_json_result(data=False, code=settings.RetCode.DATA_ERROR, message="invalid email")
stored_captcha = REDIS_CONN.get(captcha_key(email))
if not stored_captcha:
return get_json_result(data=False, code=settings.RetCode.NOT_EFFECTIVE, message="invalid or expired captcha")
if (stored_captcha or "").strip().lower() != captcha.lower():
return get_json_result(data=False, code=settings.RetCode.AUTHENTICATION_ERROR, message="invalid or expired captcha")
# Delete captcha to prevent reuse
REDIS_CONN.delete(captcha_key(email))
k_code, k_attempts, k_last, k_lock = otp_keys(email)
now = int(time.time())
last_ts = REDIS_CONN.get(k_last)
if last_ts:
try:
elapsed = now - int(last_ts)
except Exception:
elapsed = RESEND_COOLDOWN_SECONDS
remaining = RESEND_COOLDOWN_SECONDS - elapsed
if remaining > 0:
return get_json_result(data=False, code=settings.RetCode.NOT_EFFECTIVE, message=f"you still have to wait {remaining} seconds")
# Generate OTP (uppercase letters only) and store hashed
otp = "".join(secrets.choice(string.ascii_uppercase) for _ in range(OTP_LENGTH))
salt = os.urandom(16)
code_hash = hash_code(otp, salt)
REDIS_CONN.set(k_code, f"{code_hash}:{salt.hex()}", OTP_TTL_SECONDS)
REDIS_CONN.set(k_attempts, 0, OTP_TTL_SECONDS)
REDIS_CONN.set(k_last, now, OTP_TTL_SECONDS)
REDIS_CONN.delete(k_lock)
ttl_min = OTP_TTL_SECONDS // 60
if not smtp_mail_server:
logging.warning("SMTP mail server not initialized; skip sending email.")
else:
try:
send_email_html(
subject="Your Password Reset Code",
to_email=email,
template_key="reset_code",
code=otp,
ttl_min=ttl_min,
)
except Exception:
return get_json_result(data=False, code=settings.RetCode.SERVER_ERROR, message="failed to send email")
return get_json_result(data=True, code=settings.RetCode.SUCCESS, message="verification passed, email sent")
@manager.route("/forget", methods=["POST"]) # noqa: F821
def forget():
"""
POST: Verify email + OTP and reset password, then log the user in.
Request JSON: { email, otp, new_password, confirm_new_password }
"""
req = request.get_json()
email = req.get("email") or ""
otp = (req.get("otp") or "").strip()
new_pwd = req.get("new_password")
new_pwd2 = req.get("confirm_new_password")
if not all([email, otp, new_pwd, new_pwd2]):
return get_json_result(data=False, code=settings.RetCode.ARGUMENT_ERROR, message="email, otp and passwords are required")
# For reset, passwords are provided as-is (no decrypt needed)
if new_pwd != new_pwd2:
return get_json_result(data=False, code=settings.RetCode.ARGUMENT_ERROR, message="passwords do not match")
users = UserService.query(email=email)
if not users:
return get_json_result(data=False, code=settings.RetCode.DATA_ERROR, message="invalid email")
user = users[0]
# Verify OTP from Redis
k_code, k_attempts, k_last, k_lock = otp_keys(email)
if REDIS_CONN.get(k_lock):
return get_json_result(data=False, code=settings.RetCode.NOT_EFFECTIVE, message="too many attempts, try later")
stored = REDIS_CONN.get(k_code)
if not stored:
return get_json_result(data=False, code=settings.RetCode.NOT_EFFECTIVE, message="expired otp")
try:
stored_hash, salt_hex = str(stored).split(":", 1)
salt = bytes.fromhex(salt_hex)
except Exception:
return get_json_result(data=False, code=settings.RetCode.EXCEPTION_ERROR, message="otp storage corrupted")
# Case-insensitive verification: OTP generated uppercase
calc = hash_code(otp.upper(), salt)
if calc != stored_hash:
# bump attempts
try:
attempts = int(REDIS_CONN.get(k_attempts) or 0) + 1
except Exception:
attempts = 1
REDIS_CONN.set(k_attempts, attempts, OTP_TTL_SECONDS)
if attempts >= ATTEMPT_LIMIT:
REDIS_CONN.set(k_lock, int(time.time()), ATTEMPT_LOCK_SECONDS)
return get_json_result(data=False, code=settings.RetCode.AUTHENTICATION_ERROR, message="expired otp")
# Success: consume OTP and reset password
REDIS_CONN.delete(k_code)
REDIS_CONN.delete(k_attempts)
REDIS_CONN.delete(k_last)
REDIS_CONN.delete(k_lock)
try:
UserService.update_user_password(user.id, new_pwd)
except Exception as e:
logging.exception(e)
return get_json_result(data=False, code=settings.RetCode.EXCEPTION_ERROR, message="failed to reset password")
# Auto login (reuse login flow)
user.access_token = get_uuid()
login_user(user)
user.update_time = (current_timestamp(),)
user.update_date = (datetime_format(datetime.now()),)
user.save()
msg = "Password reset successful. Logged in."
return construct_response(data=user.to_json(), auth=user.get_id(), message=msg)

2
api/common/README.md Normal file
View File

@ -0,0 +1,2 @@
The python files in this directory are shared between service. They contain common utilities, models, and functions that can be used across various
services to ensure consistency and reduce code duplication.

21
api/common/base64.py Normal file
View File

@ -0,0 +1,21 @@
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import base64
def encode_to_base64(input_string):
base64_encoded = base64.b64encode(input_string.encode('utf-8'))
return base64_encoded.decode('utf-8')

View File

@ -0,0 +1,59 @@
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from api.db import TenantPermission
from api.db.db_models import File, Knowledgebase
from api.db.services.file_service import FileService
from api.db.services.knowledgebase_service import KnowledgebaseService
from api.db.services.user_service import TenantService
def check_kb_team_permission(kb: dict | Knowledgebase, other: str) -> bool:
kb = kb.to_dict() if isinstance(kb, Knowledgebase) else kb
kb_tenant_id = kb["tenant_id"]
if kb_tenant_id == other:
return True
if kb["permission"] != TenantPermission.TEAM:
return False
joined_tenants = TenantService.get_joined_tenants_by_user_id(other)
return any(tenant["tenant_id"] == kb_tenant_id for tenant in joined_tenants)
def check_file_team_permission(file: dict | File, other: str) -> bool:
file = file.to_dict() if isinstance(file, File) else file
file_tenant_id = file["tenant_id"]
if file_tenant_id == other:
return True
file_id = file["id"]
kb_ids = [kb_info["kb_id"] for kb_info in FileService.get_kb_id_by_file_id(file_id)]
for kb_id in kb_ids:
ok, kb = KnowledgebaseService.get_by_id(kb_id)
if not ok:
continue
if check_kb_team_permission(kb, other):
return True
return False

43
api/common/exceptions.py Normal file
View File

@ -0,0 +1,43 @@
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
class AdminException(Exception):
def __init__(self, message, code=400):
super().__init__(message)
self.type = "admin"
self.code = code
self.message = message
class UserNotFoundError(AdminException):
def __init__(self, username):
super().__init__(f"User '{username}' not found", 404)
class UserAlreadyExistsError(AdminException):
def __init__(self, username):
super().__init__(f"User '{username}' already exists", 409)
class CannotDeleteAdminError(AdminException):
def __init__(self):
super().__init__("Cannot delete admin account", 403)
class NotAdminError(AdminException):
def __init__(self, username):
super().__init__(f"User '{username}' is not admin", 403)

View File

@ -23,6 +23,11 @@ class StatusEnum(Enum):
INVALID = "0"
class ActiveEnum(Enum):
ACTIVE = "1"
INACTIVE = "0"
class UserTenantRole(StrEnum):
OWNER = 'owner'
ADMIN = 'admin'
@ -111,7 +116,7 @@ class CanvasCategory(StrEnum):
Agent = "agent_canvas"
DataFlow = "dataflow_canvas"
VALID_CAVAS_CATEGORIES = {CanvasCategory.Agent, CanvasCategory.DataFlow}
VALID_CANVAS_CATEGORIES = {CanvasCategory.Agent, CanvasCategory.DataFlow}
class MCPServerType(StrEnum):
@ -122,4 +127,15 @@ class MCPServerType(StrEnum):
VALID_MCP_SERVER_TYPES = {MCPServerType.SSE, MCPServerType.STREAMABLE_HTTP}
class PipelineTaskType(StrEnum):
PARSE = "Parse"
DOWNLOAD = "Download"
RAPTOR = "RAPTOR"
GRAPH_RAG = "GraphRAG"
MINDMAP = "Mindmap"
VALID_PIPELINE_TASK_TYPES = {PipelineTaskType.PARSE, PipelineTaskType.DOWNLOAD, PipelineTaskType.RAPTOR, PipelineTaskType.GRAPH_RAG, PipelineTaskType.MINDMAP}
KNOWLEDGEBASE_FOLDER_NAME=".knowledgebase"

View File

@ -26,12 +26,14 @@ from functools import wraps
from flask_login import UserMixin
from itsdangerous.url_safe import URLSafeTimedSerializer as Serializer
from peewee import BigIntegerField, BooleanField, CharField, CompositeKey, DateTimeField, Field, FloatField, IntegerField, Metadata, Model, TextField
from peewee import InterfaceError, OperationalError, BigIntegerField, BooleanField, CharField, CompositeKey, DateTimeField, Field, FloatField, IntegerField, Metadata, Model, TextField
from playhouse.migrate import MySQLMigrator, PostgresqlMigrator, migrate
from playhouse.pool import PooledMySQLDatabase, PooledPostgresqlDatabase
from api import settings, utils
from api.db import ParserType, SerializedType
from api.utils.json import json_dumps, json_loads
from api.utils.configs import deserialize_b64, serialize_b64
def singleton(cls, *args, **kw):
@ -70,12 +72,12 @@ class JSONField(LongTextField):
def db_value(self, value):
if value is None:
value = self.default_value
return utils.json_dumps(value)
return json_dumps(value)
def python_value(self, value):
if not value:
return self.default_value
return utils.json_loads(value, object_hook=self._object_hook, object_pairs_hook=self._object_pairs_hook)
return json_loads(value, object_hook=self._object_hook, object_pairs_hook=self._object_pairs_hook)
class ListField(JSONField):
@ -91,21 +93,21 @@ class SerializedField(LongTextField):
def db_value(self, value):
if self._serialized_type == SerializedType.PICKLE:
return utils.serialize_b64(value, to_str=True)
return serialize_b64(value, to_str=True)
elif self._serialized_type == SerializedType.JSON:
if value is None:
return None
return utils.json_dumps(value, with_type=True)
return json_dumps(value, with_type=True)
else:
raise ValueError(f"the serialized type {self._serialized_type} is not supported")
def python_value(self, value):
if self._serialized_type == SerializedType.PICKLE:
return utils.deserialize_b64(value)
return deserialize_b64(value)
elif self._serialized_type == SerializedType.JSON:
if value is None:
return {}
return utils.json_loads(value, object_hook=self._object_hook, object_pairs_hook=self._object_pairs_hook)
return json_loads(value, object_hook=self._object_hook, object_pairs_hook=self._object_pairs_hook)
else:
raise ValueError(f"the serialized type {self._serialized_type} is not supported")
@ -250,43 +252,136 @@ class RetryingPooledMySQLDatabase(PooledMySQLDatabase):
super().__init__(*args, **kwargs)
def execute_sql(self, sql, params=None, commit=True):
from peewee import OperationalError
for attempt in range(self.max_retries + 1):
try:
return super().execute_sql(sql, params, commit)
except OperationalError as e:
if e.args[0] in (2013, 2006) and attempt < self.max_retries:
logging.warning(f"Lost connection (attempt {attempt + 1}/{self.max_retries}): {e}")
except (OperationalError, InterfaceError) as e:
error_codes = [2013, 2006]
error_messages = ['', 'Lost connection']
should_retry = (
(hasattr(e, 'args') and e.args and e.args[0] in error_codes) or
(str(e) in error_messages) or
(hasattr(e, '__class__') and e.__class__.__name__ == 'InterfaceError')
)
if should_retry and attempt < self.max_retries:
logging.warning(
f"Database connection issue (attempt {attempt+1}/{self.max_retries}): {e}"
)
self._handle_connection_loss()
time.sleep(self.retry_delay * (2**attempt))
time.sleep(self.retry_delay * (2 ** attempt))
else:
logging.error(f"DB execution failure: {e}")
raise
return None
def _handle_connection_loss(self):
self.close_all()
self.connect()
# self.close_all()
# self.connect()
try:
self.close()
except Exception:
pass
try:
self.connect()
except Exception as e:
logging.error(f"Failed to reconnect: {e}")
time.sleep(0.1)
self.connect()
def begin(self):
from peewee import OperationalError
for attempt in range(self.max_retries + 1):
try:
return super().begin()
except OperationalError as e:
if e.args[0] in (2013, 2006) and attempt < self.max_retries:
logging.warning(f"Lost connection during transaction (attempt {attempt + 1}/{self.max_retries})")
except (OperationalError, InterfaceError) as e:
error_codes = [2013, 2006]
error_messages = ['', 'Lost connection']
should_retry = (
(hasattr(e, 'args') and e.args and e.args[0] in error_codes) or
(str(e) in error_messages) or
(hasattr(e, '__class__') and e.__class__.__name__ == 'InterfaceError')
)
if should_retry and attempt < self.max_retries:
logging.warning(
f"Lost connection during transaction (attempt {attempt+1}/{self.max_retries})"
)
self._handle_connection_loss()
time.sleep(self.retry_delay * (2**attempt))
time.sleep(self.retry_delay * (2 ** attempt))
else:
raise
class RetryingPooledPostgresqlDatabase(PooledPostgresqlDatabase):
def __init__(self, *args, **kwargs):
self.max_retries = kwargs.pop("max_retries", 5)
self.retry_delay = kwargs.pop("retry_delay", 1)
super().__init__(*args, **kwargs)
def execute_sql(self, sql, params=None, commit=True):
for attempt in range(self.max_retries + 1):
try:
return super().execute_sql(sql, params, commit)
except (OperationalError, InterfaceError) as e:
# PostgreSQL specific error codes
# 57P01: admin_shutdown
# 57P02: crash_shutdown
# 57P03: cannot_connect_now
# 08006: connection_failure
# 08003: connection_does_not_exist
# 08000: connection_exception
error_messages = ['connection', 'server closed', 'connection refused',
'no connection to the server', 'terminating connection']
should_retry = any(msg in str(e).lower() for msg in error_messages)
if should_retry and attempt < self.max_retries:
logging.warning(
f"PostgreSQL connection issue (attempt {attempt+1}/{self.max_retries}): {e}"
)
self._handle_connection_loss()
time.sleep(self.retry_delay * (2 ** attempt))
else:
logging.error(f"PostgreSQL execution failure: {e}")
raise
return None
def _handle_connection_loss(self):
try:
self.close()
except Exception:
pass
try:
self.connect()
except Exception as e:
logging.error(f"Failed to reconnect to PostgreSQL: {e}")
time.sleep(0.1)
self.connect()
def begin(self):
for attempt in range(self.max_retries + 1):
try:
return super().begin()
except (OperationalError, InterfaceError) as e:
error_messages = ['connection', 'server closed', 'connection refused',
'no connection to the server', 'terminating connection']
should_retry = any(msg in str(e).lower() for msg in error_messages)
if should_retry and attempt < self.max_retries:
logging.warning(
f"PostgreSQL connection lost during transaction (attempt {attempt+1}/{self.max_retries})"
)
self._handle_connection_loss()
time.sleep(self.retry_delay * (2 ** attempt))
else:
raise
class PooledDatabase(Enum):
MYSQL = RetryingPooledMySQLDatabase
POSTGRES = PooledPostgresqlDatabase
POSTGRES = RetryingPooledPostgresqlDatabase
class DatabaseMigrator(Enum):
@ -299,7 +394,16 @@ class BaseDataBase:
def __init__(self):
database_config = settings.DATABASE.copy()
db_name = database_config.pop("name")
self.database_connection = PooledDatabase[settings.DATABASE_TYPE.upper()].value(db_name, **database_config)
pool_config = {
'max_retries': 5,
'retry_delay': 1,
}
database_config.update(pool_config)
self.database_connection = PooledDatabase[settings.DATABASE_TYPE.upper()].value(
db_name, **database_config
)
# self.database_connection = PooledDatabase[settings.DATABASE_TYPE.upper()].value(db_name, **database_config)
logging.info("init database on cluster mode successfully")
@ -603,7 +707,7 @@ class TenantLLM(DataBaseModel):
llm_factory = CharField(max_length=128, null=False, help_text="LLM factory name", index=True)
model_type = CharField(max_length=128, null=True, help_text="LLM, Text Embedding, Image2Text, ASR", index=True)
llm_name = CharField(max_length=128, null=True, help_text="LLM name", default="", index=True)
api_key = CharField(max_length=2048, null=True, help_text="API KEY", index=True)
api_key = TextField(null=True, help_text="API KEY")
api_base = CharField(max_length=255, null=True, help_text="API Base")
max_tokens = IntegerField(default=8192, index=True)
used_tokens = IntegerField(default=0, index=True)
@ -646,8 +750,17 @@ class Knowledgebase(DataBaseModel):
vector_similarity_weight = FloatField(default=0.3, index=True)
parser_id = CharField(max_length=32, null=False, help_text="default parser ID", default=ParserType.NAIVE.value, index=True)
pipeline_id = CharField(max_length=32, null=True, help_text="Pipeline ID", index=True)
parser_config = JSONField(null=False, default={"pages": [[1, 1000000]]})
pagerank = IntegerField(default=0, index=False)
graphrag_task_id = CharField(max_length=32, null=True, help_text="Graph RAG task ID", index=True)
graphrag_task_finish_at = DateTimeField(null=True)
raptor_task_id = CharField(max_length=32, null=True, help_text="RAPTOR task ID", index=True)
raptor_task_finish_at = DateTimeField(null=True)
mindmap_task_id = CharField(max_length=32, null=True, help_text="Mindmap task ID", index=True)
mindmap_task_finish_at = DateTimeField(null=True)
status = CharField(max_length=1, null=True, help_text="is it validate(0: wasted, 1: validate)", default="1", index=True)
def __str__(self):
@ -662,6 +775,7 @@ class Document(DataBaseModel):
thumbnail = TextField(null=True, help_text="thumbnail base64 string")
kb_id = CharField(max_length=256, null=False, index=True)
parser_id = CharField(max_length=32, null=False, help_text="default parser ID", index=True)
pipeline_id = CharField(max_length=32, null=True, help_text="pipleline ID", index=True)
parser_config = JSONField(null=False, default={"pages": [[1, 1000000]]})
source_type = CharField(max_length=128, null=False, default="local", help_text="where dose this document come from", index=True)
type = CharField(max_length=32, null=False, help_text="file extension", index=True)
@ -904,6 +1018,32 @@ class Search(DataBaseModel):
db_table = "search"
class PipelineOperationLog(DataBaseModel):
id = CharField(max_length=32, primary_key=True)
document_id = CharField(max_length=32, index=True)
tenant_id = CharField(max_length=32, null=False, index=True)
kb_id = CharField(max_length=32, null=False, index=True)
pipeline_id = CharField(max_length=32, null=True, help_text="Pipeline ID", index=True)
pipeline_title = CharField(max_length=32, null=True, help_text="Pipeline title", index=True)
parser_id = CharField(max_length=32, null=False, help_text="Parser ID", index=True)
document_name = CharField(max_length=255, null=False, help_text="File name")
document_suffix = CharField(max_length=255, null=False, help_text="File suffix")
document_type = CharField(max_length=255, null=False, help_text="Document type")
source_from = CharField(max_length=255, null=False, help_text="Source")
progress = FloatField(default=0, index=True)
progress_msg = TextField(null=True, help_text="process message", default="")
process_begin_at = DateTimeField(null=True, index=True)
process_duration = FloatField(default=0)
dsl = JSONField(null=True, default=dict)
task_type = CharField(max_length=32, null=False, default="")
operation_status = CharField(max_length=32, null=False, help_text="Operation status")
avatar = TextField(null=True, help_text="avatar base64 string")
status = CharField(max_length=1, null=True, help_text="is it validate(0: wasted, 1: validate)", default="1", index=True)
class Meta:
db_table = "pipeline_operation_log"
def migrate_db():
logging.disable(logging.ERROR)
migrator = DatabaseMigrator[settings.DATABASE_TYPE.upper()].value(DB)
@ -1020,7 +1160,6 @@ def migrate_db():
migrate(migrator.add_column("dialog", "meta_data_filter", JSONField(null=True, default={})))
except Exception:
pass
try:
migrate(migrator.alter_column_type("canvas_template", "title", JSONField(null=True, default=dict, help_text="Canvas title")))
except Exception:
@ -1037,4 +1176,40 @@ def migrate_db():
migrate(migrator.add_column("canvas_template", "canvas_category", CharField(max_length=32, null=False, default="agent_canvas", help_text="agent_canvas|dataflow_canvas", index=True)))
except Exception:
pass
try:
migrate(migrator.add_column("knowledgebase", "pipeline_id", CharField(max_length=32, null=True, help_text="Pipeline ID", index=True)))
except Exception:
pass
try:
migrate(migrator.add_column("document", "pipeline_id", CharField(max_length=32, null=True, help_text="Pipeline ID", index=True)))
except Exception:
pass
try:
migrate(migrator.add_column("knowledgebase", "graphrag_task_id", CharField(max_length=32, null=True, help_text="Gragh RAG task ID", index=True)))
except Exception:
pass
try:
migrate(migrator.add_column("knowledgebase", "raptor_task_id", CharField(max_length=32, null=True, help_text="RAPTOR task ID", index=True)))
except Exception:
pass
try:
migrate(migrator.add_column("knowledgebase", "graphrag_task_finish_at", DateTimeField(null=True)))
except Exception:
pass
try:
migrate(migrator.add_column("knowledgebase", "raptor_task_finish_at", CharField(null=True)))
except Exception:
pass
try:
migrate(migrator.add_column("knowledgebase", "mindmap_task_id", CharField(max_length=32, null=True, help_text="Mindmap task ID", index=True)))
except Exception:
pass
try:
migrate(migrator.add_column("knowledgebase", "mindmap_task_finish_at", CharField(null=True)))
except Exception:
pass
try:
migrate(migrator.alter_column_type("tenant_llm", "api_key", TextField(null=True, help_text="API KEY")))
except Exception:
pass
logging.disable(logging.NOTSET)

View File

@ -14,7 +14,6 @@
# limitations under the License.
#
import logging
import base64
import json
import os
import time
@ -32,11 +31,7 @@ from api.db.services.llm_service import LLMService, LLMBundle, get_init_tenant_l
from api.db.services.user_service import TenantService, UserTenantService
from api import settings
from api.utils.file_utils import get_project_base_directory
def encode_to_base64(input_string):
base64_encoded = base64.b64encode(input_string.encode('utf-8'))
return base64_encoded.decode('utf-8')
from api.common.base64 import encode_to_base64
def init_superuser():
@ -144,8 +139,9 @@ def init_llm_factory():
except Exception:
pass
break
doc_count = DocumentService.get_all_kb_doc_count()
for kb_id in KnowledgebaseService.get_all_ids():
KnowledgebaseService.update_document_number_in_init(kb_id=kb_id, doc_num=DocumentService.get_kb_doc_count(kb_id))
KnowledgebaseService.update_document_number_in_init(kb_id=kb_id, doc_num=doc_count.get(kb_id, 0))

View File

@ -0,0 +1,327 @@
#
# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import logging
import uuid
from api import settings
from api.utils.api_utils import group_by
from api.db import FileType, UserTenantRole, ActiveEnum
from api.db.services.api_service import APITokenService, API4ConversationService
from api.db.services.canvas_service import UserCanvasService
from api.db.services.conversation_service import ConversationService
from api.db.services.dialog_service import DialogService
from api.db.services.document_service import DocumentService
from api.db.services.file2document_service import File2DocumentService
from api.db.services.knowledgebase_service import KnowledgebaseService
from api.db.services.langfuse_service import TenantLangfuseService
from api.db.services.llm_service import get_init_tenant_llm
from api.db.services.file_service import FileService
from api.db.services.mcp_server_service import MCPServerService
from api.db.services.search_service import SearchService
from api.db.services.task_service import TaskService
from api.db.services.tenant_llm_service import TenantLLMService
from api.db.services.user_canvas_version import UserCanvasVersionService
from api.db.services.user_service import TenantService, UserService, UserTenantService
from rag.utils.storage_factory import STORAGE_IMPL
from rag.nlp import search
def create_new_user(user_info: dict) -> dict:
"""
Add a new user, and create tenant, tenant llm, file folder for new user.
:param user_info: {
"email": <example@example.com>,
"nickname": <str, "name">,
"password": <decrypted password>,
"login_channel": <enum, "password">,
"is_superuser": <bool, role == "admin">,
}
:return: {
"success": <bool>,
"user_info": <dict>, # if true, return user_info
}
"""
# generate user_id and access_token for user
user_id = uuid.uuid1().hex
user_info['id'] = user_id
user_info['access_token'] = uuid.uuid1().hex
# construct tenant info
tenant = {
"id": user_id,
"name": user_info["nickname"] + "s Kingdom",
"llm_id": settings.CHAT_MDL,
"embd_id": settings.EMBEDDING_MDL,
"asr_id": settings.ASR_MDL,
"parser_ids": settings.PARSERS,
"img2txt_id": settings.IMAGE2TEXT_MDL,
"rerank_id": settings.RERANK_MDL,
}
usr_tenant = {
"tenant_id": user_id,
"user_id": user_id,
"invited_by": user_id,
"role": UserTenantRole.OWNER,
}
# construct file folder info
file_id = uuid.uuid1().hex
file = {
"id": file_id,
"parent_id": file_id,
"tenant_id": user_id,
"created_by": user_id,
"name": "/",
"type": FileType.FOLDER.value,
"size": 0,
"location": "",
}
try:
tenant_llm = get_init_tenant_llm(user_id)
if not UserService.save(**user_info):
return {"success": False}
TenantService.insert(**tenant)
UserTenantService.insert(**usr_tenant)
TenantLLMService.insert_many(tenant_llm)
FileService.insert(file)
return {
"success": True,
"user_info": user_info,
}
except Exception as create_error:
logging.exception(create_error)
# rollback
try:
TenantService.delete_by_id(user_id)
except Exception as e:
logging.exception(e)
try:
u = UserTenantService.query(tenant_id=user_id)
if u:
UserTenantService.delete_by_id(u[0].id)
except Exception as e:
logging.exception(e)
try:
TenantLLMService.delete_by_tenant_id(user_id)
except Exception as e:
logging.exception(e)
try:
FileService.delete_by_id(file["id"])
except Exception as e:
logging.exception(e)
# delete user row finally
try:
UserService.delete_by_id(user_id)
except Exception as e:
logging.exception(e)
# reraise
raise create_error
def delete_user_data(user_id: str) -> dict:
# use user_id to delete
usr = UserService.filter_by_id(user_id)
if not usr:
return {"success": False, "message": f"{user_id} can't be found."}
# check is inactive and not admin
if usr.is_active == ActiveEnum.ACTIVE.value:
return {"success": False, "message": f"{user_id} is active and can't be deleted."}
if usr.is_superuser:
return {"success": False, "message": "Can't delete the super user."}
# tenant info
tenants = UserTenantService.get_user_tenant_relation_by_user_id(usr.id)
owned_tenant = [t for t in tenants if t["role"] == UserTenantRole.OWNER.value]
done_msg = ''
try:
# step1. delete owned tenant info
if owned_tenant:
done_msg += "Start to delete owned tenant.\n"
tenant_id = owned_tenant[0]["tenant_id"]
kb_ids = KnowledgebaseService.get_kb_ids(usr.id)
# step1.1 delete knowledgebase related file and info
if kb_ids:
# step1.1.1 delete files in storage, remove bucket
for kb_id in kb_ids:
if STORAGE_IMPL.bucket_exists(kb_id):
STORAGE_IMPL.remove_bucket(kb_id)
done_msg += f"- Removed {len(kb_ids)} dataset's buckets.\n"
# step1.1.2 delete file and document info in db
doc_ids = DocumentService.get_all_doc_ids_by_kb_ids(kb_ids)
if doc_ids:
doc_delete_res = DocumentService.delete_by_ids([i["id"] for i in doc_ids])
done_msg += f"- Deleted {doc_delete_res} document records.\n"
task_delete_res = TaskService.delete_by_doc_ids([i["id"] for i in doc_ids])
done_msg += f"- Deleted {task_delete_res} task records.\n"
file_ids = FileService.get_all_file_ids_by_tenant_id(usr.id)
if file_ids:
file_delete_res = FileService.delete_by_ids([f["id"] for f in file_ids])
done_msg += f"- Deleted {file_delete_res} file records.\n"
if doc_ids or file_ids:
file2doc_delete_res = File2DocumentService.delete_by_document_ids_or_file_ids(
[i["id"] for i in doc_ids],
[f["id"] for f in file_ids]
)
done_msg += f"- Deleted {file2doc_delete_res} document-file relation records.\n"
# step1.1.3 delete chunk in es
r = settings.docStoreConn.delete({"kb_id": kb_ids},
search.index_name(tenant_id), kb_ids)
done_msg += f"- Deleted {r} chunk records.\n"
kb_delete_res = KnowledgebaseService.delete_by_ids(kb_ids)
done_msg += f"- Deleted {kb_delete_res} knowledgebase records.\n"
# step1.1.4 delete agents
agent_delete_res = delete_user_agents(usr.id)
done_msg += f"- Deleted {agent_delete_res['agents_deleted_count']} agent, {agent_delete_res['version_deleted_count']} versions records.\n"
# step1.1.5 delete dialogs
dialog_delete_res = delete_user_dialogs(usr.id)
done_msg += f"- Deleted {dialog_delete_res['dialogs_deleted_count']} dialogs, {dialog_delete_res['conversations_deleted_count']} conversations, {dialog_delete_res['api_token_deleted_count']} api tokens, {dialog_delete_res['api4conversation_deleted_count']} api4conversations.\n"
# step1.1.6 delete mcp server
mcp_delete_res = MCPServerService.delete_by_tenant_id(usr.id)
done_msg += f"- Deleted {mcp_delete_res} MCP server.\n"
# step1.1.7 delete search
search_delete_res = SearchService.delete_by_tenant_id(usr.id)
done_msg += f"- Deleted {search_delete_res} search records.\n"
# step1.2 delete tenant_llm and tenant_langfuse
llm_delete_res = TenantLLMService.delete_by_tenant_id(tenant_id)
done_msg += f"- Deleted {llm_delete_res} tenant-LLM records.\n"
langfuse_delete_res = TenantLangfuseService.delete_ty_tenant_id(tenant_id)
done_msg += f"- Deleted {langfuse_delete_res} langfuse records.\n"
# step1.3 delete own tenant
tenant_delete_res = TenantService.delete_by_id(tenant_id)
done_msg += f"- Deleted {tenant_delete_res} tenant.\n"
# step2 delete user-tenant relation
if tenants:
# step2.1 delete docs and files in joined team
joined_tenants = [t for t in tenants if t["role"] == UserTenantRole.NORMAL.value]
if joined_tenants:
done_msg += "Start to delete data in joined tenants.\n"
created_documents = DocumentService.get_all_docs_by_creator_id(usr.id)
if created_documents:
# step2.1.1 delete files
doc_file_info = File2DocumentService.get_by_document_ids([d['id'] for d in created_documents])
created_files = FileService.get_by_ids([f['file_id'] for f in doc_file_info])
if created_files:
# step2.1.1.1 delete file in storage
for f in created_files:
STORAGE_IMPL.rm(f.parent_id, f.location)
done_msg += f"- Deleted {len(created_files)} uploaded file.\n"
# step2.1.1.2 delete file record
file_delete_res = FileService.delete_by_ids([f.id for f in created_files])
done_msg += f"- Deleted {file_delete_res} file records.\n"
# step2.1.2 delete document-file relation record
file2doc_delete_res = File2DocumentService.delete_by_document_ids_or_file_ids(
[d['id'] for d in created_documents],
[f.id for f in created_files]
)
done_msg += f"- Deleted {file2doc_delete_res} document-file relation records.\n"
# step2.1.3 delete chunks
doc_groups = group_by(created_documents, "tenant_id")
kb_grouped_doc = {k: group_by(v, "kb_id") for k, v in doc_groups.items()}
# chunks in {'tenant_id': {'kb_id': [{'id': doc_id}]}} structure
chunk_delete_res = 0
kb_doc_info = {}
for _tenant_id, kb_doc in kb_grouped_doc.items():
for _kb_id, docs in kb_doc.items():
chunk_delete_res += settings.docStoreConn.delete(
{"doc_id": [d["id"] for d in docs]},
search.index_name(_tenant_id), _kb_id
)
# record doc info
if _kb_id in kb_doc_info.keys():
kb_doc_info[_kb_id]['doc_num'] += 1
kb_doc_info[_kb_id]['token_num'] += sum([d["token_num"] for d in docs])
kb_doc_info[_kb_id]['chunk_num'] += sum([d["chunk_num"] for d in docs])
else:
kb_doc_info[_kb_id] = {
'doc_num': 1,
'token_num': sum([d["token_num"] for d in docs]),
'chunk_num': sum([d["chunk_num"] for d in docs])
}
done_msg += f"- Deleted {chunk_delete_res} chunks.\n"
# step2.1.4 delete tasks
task_delete_res = TaskService.delete_by_doc_ids([d['id'] for d in created_documents])
done_msg += f"- Deleted {task_delete_res} tasks.\n"
# step2.1.5 delete document record
doc_delete_res = DocumentService.delete_by_ids([d['id'] for d in created_documents])
done_msg += f"- Deleted {doc_delete_res} documents.\n"
# step2.1.6 update knowledge base doc&chunk&token cnt
for kb_id, doc_num in kb_doc_info.items():
KnowledgebaseService.decrease_document_num_in_delete(kb_id, doc_num)
# step2.2 delete relation
user_tenant_delete_res = UserTenantService.delete_by_ids([t["id"] for t in tenants])
done_msg += f"- Deleted {user_tenant_delete_res} user-tenant records.\n"
# step3 finally delete user
user_delete_res = UserService.delete_by_id(usr.id)
done_msg += f"- Deleted {user_delete_res} user.\nDelete done!"
return {"success": True, "message": f"Successfully deleted user. Details:\n{done_msg}"}
except Exception as e:
logging.exception(e)
return {"success": False, "message": f"Error: {str(e)}. Already done:\n{done_msg}"}
def delete_user_agents(user_id: str) -> dict:
"""
use user_id to delete
:return: {
"agents_deleted_count": 1,
"version_deleted_count": 2
}
"""
agents_deleted_count, agents_version_deleted_count = 0, 0
user_agents = UserCanvasService.get_all_agents_by_tenant_ids([user_id], user_id)
if user_agents:
agents_version = UserCanvasVersionService.get_all_canvas_version_by_canvas_ids([a['id'] for a in user_agents])
agents_version_deleted_count = UserCanvasVersionService.delete_by_ids([v['id'] for v in agents_version])
agents_deleted_count = UserCanvasService.delete_by_ids([a['id'] for a in user_agents])
return {
"agents_deleted_count": agents_deleted_count,
"version_deleted_count": agents_version_deleted_count
}
def delete_user_dialogs(user_id: str) -> dict:
"""
use user_id to delete
:return: {
"dialogs_deleted_count": 1,
"conversations_deleted_count": 1,
"api_token_deleted_count": 2,
"api4conversation_deleted_count": 2
}
"""
dialog_deleted_count, conversations_deleted_count, api_token_deleted_count, api4conversation_deleted_count = 0, 0, 0, 0
user_dialogs = DialogService.get_all_dialogs_by_tenant_id(user_id)
if user_dialogs:
# delete conversation
conversations = ConversationService.get_all_conversation_by_dialog_ids([ud['id'] for ud in user_dialogs])
conversations_deleted_count = ConversationService.delete_by_ids([c['id'] for c in conversations])
# delete api token
api_token_deleted_count = APITokenService.delete_by_tenant_id(user_id)
# delete api for conversation
api4conversation_deleted_count = API4ConversationService.delete_by_dialog_ids([ud['id'] for ud in user_dialogs])
# delete dialog at last
dialog_deleted_count = DialogService.delete_by_ids([ud['id'] for ud in user_dialogs])
return {
"dialogs_deleted_count": dialog_deleted_count,
"conversations_deleted_count": conversations_deleted_count,
"api_token_deleted_count": api_token_deleted_count,
"api4conversation_deleted_count": api4conversation_deleted_count
}

View File

@ -19,7 +19,7 @@ from pathlib import PurePath
from .user_service import UserService as UserService
def split_name_counter(filename: str) -> tuple[str, int | None]:
def _split_name_counter(filename: str) -> tuple[str, int | None]:
"""
Splits a filename into main part and counter (if present in parentheses).
@ -87,7 +87,7 @@ def duplicate_name(query_func, **kwargs) -> str:
stem = path.stem
suffix = path.suffix
main_part, counter = split_name_counter(stem)
main_part, counter = _split_name_counter(stem)
counter = counter + 1 if counter else 1
new_name = f"{main_part}({counter}){suffix}"

View File

@ -35,6 +35,11 @@ class APITokenService(CommonService):
cls.model.token == token
)
@classmethod
@DB.connection_context()
def delete_by_tenant_id(cls, tenant_id):
return cls.model.delete().where(cls.model.tenant_id == tenant_id).execute()
class API4ConversationService(CommonService):
model = API4Conversation
@ -100,3 +105,8 @@ class API4ConversationService(CommonService):
cls.model.create_date <= to_date,
cls.model.source == source
).group_by(cls.model.create_date.truncate("day")).dicts()
@classmethod
@DB.connection_context()
def delete_by_dialog_ids(cls, dialog_ids):
return cls.model.delete().where(cls.model.dialog_id.in_(dialog_ids)).execute()

View File

@ -63,7 +63,38 @@ class UserCanvasService(CommonService):
@classmethod
@DB.connection_context()
def get_by_tenant_id(cls, pid):
def get_all_agents_by_tenant_ids(cls, tenant_ids, user_id):
# will get all permitted agents, be cautious
fields = [
cls.model.id,
cls.model.title,
cls.model.permission,
cls.model.canvas_type,
cls.model.canvas_category
]
# find team agents and owned agents
agents = cls.model.select(*fields).where(
(cls.model.user_id.in_(tenant_ids) & (cls.model.permission == TenantPermission.TEAM.value)) | (
cls.model.user_id == user_id
)
)
# sort by create_time, asc
agents.order_by(cls.model.create_time.asc())
# maybe cause slow query by deep paginate, optimize later
offset, limit = 0, 50
res = []
while True:
ag_batch = agents.offset(offset).limit(limit)
_temp = list(ag_batch.dicts())
if not _temp:
break
res.extend(_temp)
offset += limit
return res
@classmethod
@DB.connection_context()
def get_by_canvas_id(cls, pid):
try:
fields = [
@ -95,7 +126,7 @@ class UserCanvasService(CommonService):
@DB.connection_context()
def get_by_tenant_ids(cls, joined_tenant_ids, user_id,
page_number, items_per_page,
orderby, desc, keywords, canvas_category=CanvasCategory.Agent,
orderby, desc, keywords, canvas_category=None
):
fields = [
cls.model.id,
@ -104,6 +135,7 @@ class UserCanvasService(CommonService):
cls.model.dsl,
cls.model.description,
cls.model.permission,
cls.model.user_id.alias("tenant_id"),
User.nickname,
User.avatar.alias('tenant_avatar'),
cls.model.update_time,
@ -111,31 +143,30 @@ class UserCanvasService(CommonService):
]
if keywords:
agents = cls.model.select(*fields).join(User, on=(cls.model.user_id == User.id)).where(
((cls.model.user_id.in_(joined_tenant_ids) & (cls.model.permission ==
TenantPermission.TEAM.value)) | (
cls.model.user_id == user_id)),
(((cls.model.user_id.in_(joined_tenant_ids)) & (cls.model.permission == TenantPermission.TEAM.value)) | (cls.model.user_id == user_id)),
(fn.LOWER(cls.model.title).contains(keywords.lower()))
)
else:
agents = cls.model.select(*fields).join(User, on=(cls.model.user_id == User.id)).where(
((cls.model.user_id.in_(joined_tenant_ids) & (cls.model.permission ==
TenantPermission.TEAM.value)) | (
cls.model.user_id == user_id))
(((cls.model.user_id.in_(joined_tenant_ids)) & (cls.model.permission == TenantPermission.TEAM.value)) | (cls.model.user_id == user_id))
)
agents = agents.where(cls.model.canvas_category == canvas_category)
if canvas_category:
agents = agents.where(cls.model.canvas_category == canvas_category)
if desc:
agents = agents.order_by(cls.model.getter_by(orderby).desc())
else:
agents = agents.order_by(cls.model.getter_by(orderby).asc())
count = agents.count()
agents = agents.paginate(page_number, items_per_page)
if page_number and items_per_page:
agents = agents.paginate(page_number, items_per_page)
return list(agents.dicts()), count
@classmethod
@DB.connection_context()
def accessible(cls, canvas_id, tenant_id):
from api.db.services.user_service import UserTenantService
e, c = UserCanvasService.get_by_tenant_id(canvas_id)
e, c = UserCanvasService.get_by_canvas_id(canvas_id)
if not e:
return False

View File

@ -14,12 +14,24 @@
# limitations under the License.
#
from datetime import datetime
from tenacity import retry, stop_after_attempt, wait_exponential, retry_if_exception_type
import peewee
from peewee import InterfaceError, OperationalError
from api.db.db_models import DB
from api.utils import current_timestamp, datetime_format, get_uuid
def retry_db_operation(func):
@retry(
stop=stop_after_attempt(3),
wait=wait_exponential(multiplier=1, min=1, max=5),
retry=retry_if_exception_type((InterfaceError, OperationalError)),
before_sleep=lambda retry_state: print(f"RETRY {retry_state.attempt_number} TIMES"),
reraise=True,
)
def wrapper(*args, **kwargs):
return func(*args, **kwargs)
return wrapper
class CommonService:
"""Base service class that provides common database operations.
@ -202,6 +214,7 @@ class CommonService:
@classmethod
@DB.connection_context()
@retry_db_operation
def update_by_id(cls, pid, data):
# Update a single record by ID
# Args:

View File

@ -23,7 +23,7 @@ from api.db.services.dialog_service import DialogService, chat
from api.utils import get_uuid
import json
from rag.prompts import chunks_format
from rag.prompts.generator import chunks_format
class ConversationService(CommonService):
@ -48,6 +48,21 @@ class ConversationService(CommonService):
return list(sessions.dicts())
@classmethod
@DB.connection_context()
def get_all_conversation_by_dialog_ids(cls, dialog_ids):
sessions = cls.model.select().where(cls.model.dialog_id.in_(dialog_ids))
sessions.order_by(cls.model.create_time.asc())
offset, limit = 0, 100
res = []
while True:
s_batch = sessions.offset(offset).limit(limit)
_temp = list(s_batch.dicts())
if not _temp:
break
res.extend(_temp)
offset += limit
return res
def structure_answer(conv, ans, message_id, session_id):
reference = ans["reference"]

View File

@ -39,8 +39,8 @@ from graphrag.general.mind_map_extractor import MindMapExtractor
from rag.app.resume import forbidden_select_fields4resume
from rag.app.tag import label_question
from rag.nlp.search import index_name
from rag.prompts import chunks_format, citation_prompt, cross_languages, full_question, kb_prompt, keyword_extraction, message_fit_in
from rag.prompts.prompts import gen_meta_filter, PROMPT_JINJA_ENV, ASK_SUMMARY
from rag.prompts.generator import chunks_format, citation_prompt, cross_languages, full_question, kb_prompt, keyword_extraction, message_fit_in, \
gen_meta_filter, PROMPT_JINJA_ENV, ASK_SUMMARY
from rag.utils import num_tokens_from_string, rmSpace
from rag.utils.tavily_conn import Tavily
@ -159,6 +159,22 @@ class DialogService(CommonService):
return list(dialogs.dicts()), count
@classmethod
@DB.connection_context()
def get_all_dialogs_by_tenant_id(cls, tenant_id):
fields = [cls.model.id]
dialogs = cls.model.select(*fields).where(cls.model.tenant_id == tenant_id)
dialogs.order_by(cls.model.create_time.asc())
offset, limit = 0, 100
res = []
while True:
d_batch = dialogs.offset(offset).limit(limit)
_temp = list(d_batch.dicts())
if not _temp:
break
res.extend(_temp)
offset += limit
return res
def chat_solo(dialog, messages, stream=True):
if TenantLLMService.llm_id2llm_type(dialog.llm_id) == "image2text":
@ -176,7 +192,7 @@ def chat_solo(dialog, messages, stream=True):
delta_ans = ""
for ans in chat_mdl.chat_streamly(prompt_config.get("system", ""), msg, dialog.llm_setting):
answer = ans
delta_ans = ans[len(last_ans) :]
delta_ans = ans[len(last_ans):]
if num_tokens_from_string(delta_ans) < 16:
continue
last_ans = answer
@ -261,13 +277,13 @@ def convert_conditions(metadata_condition):
"not is": ""
}
return [
{
"op": op_mapping.get(cond["comparison_operator"], cond["comparison_operator"]),
"key": cond["name"],
"value": cond["value"]
}
for cond in metadata_condition.get("conditions", [])
]
{
"op": op_mapping.get(cond["comparison_operator"], cond["comparison_operator"]),
"key": cond["name"],
"value": cond["value"]
}
for cond in metadata_condition.get("conditions", [])
]
def meta_filter(metas: dict, filters: list[dict]):
@ -284,19 +300,19 @@ def meta_filter(metas: dict, filters: list[dict]):
value = str(value)
for conds in [
(operator == "contains", str(value).lower() in str(input).lower()),
(operator == "not contains", str(value).lower() not in str(input).lower()),
(operator == "start with", str(input).lower().startswith(str(value).lower())),
(operator == "end with", str(input).lower().endswith(str(value).lower())),
(operator == "empty", not input),
(operator == "not empty", input),
(operator == "=", input == value),
(operator == "", input != value),
(operator == ">", input > value),
(operator == "<", input < value),
(operator == "", input >= value),
(operator == "", input <= value),
]:
(operator == "contains", str(value).lower() in str(input).lower()),
(operator == "not contains", str(value).lower() not in str(input).lower()),
(operator == "start with", str(input).lower().startswith(str(value).lower())),
(operator == "end with", str(input).lower().endswith(str(value).lower())),
(operator == "empty", not input),
(operator == "not empty", input),
(operator == "=", input == value),
(operator == "", input != value),
(operator == ">", input > value),
(operator == "<", input < value),
(operator == "", input >= value),
(operator == "", input <= value),
]:
try:
if all(conds):
ids.extend(docids)
@ -354,7 +370,7 @@ def chat(dialog, messages, stream=True, **kwargs):
chat_mdl.bind_tools(toolcall_session, tools)
bind_models_ts = timer()
retriever = settings.retrievaler
retriever = settings.retriever
questions = [m["content"] for m in messages if m["role"] == "user"][-3:]
attachments = kwargs["doc_ids"].split(",") if "doc_ids" in kwargs else []
if "doc_ids" in messages[-1]:
@ -450,13 +466,18 @@ def chat(dialog, messages, stream=True, **kwargs):
rerank_mdl=rerank_mdl,
rank_feature=label_question(" ".join(questions), kbs),
)
if prompt_config.get("toc_enhance"):
cks = retriever.retrieval_by_toc(" ".join(questions), kbinfos["chunks"], tenant_ids, chat_mdl, dialog.top_n)
if cks:
kbinfos["chunks"] = cks
if prompt_config.get("tavily_api_key"):
tav = Tavily(prompt_config["tavily_api_key"])
tav_res = tav.retrieve_chunks(" ".join(questions))
kbinfos["chunks"].extend(tav_res["chunks"])
kbinfos["doc_aggs"].extend(tav_res["doc_aggs"])
if prompt_config.get("use_kg"):
ck = settings.kg_retrievaler.retrieval(" ".join(questions), tenant_ids, dialog.kb_ids, embd_mdl, LLMBundle(dialog.tenant_id, LLMType.CHAT))
ck = settings.kg_retriever.retrieval(" ".join(questions), tenant_ids, dialog.kb_ids, embd_mdl,
LLMBundle(dialog.tenant_id, LLMType.CHAT))
if ck["content_with_weight"]:
kbinfos["chunks"].insert(0, ck)
@ -467,7 +488,8 @@ def chat(dialog, messages, stream=True, **kwargs):
retrieval_ts = timer()
if not knowledges and prompt_config.get("empty_response"):
empty_res = prompt_config["empty_response"]
yield {"answer": empty_res, "reference": kbinfos, "prompt": "\n\n### Query:\n%s" % " ".join(questions), "audio_binary": tts(tts_mdl, empty_res)}
yield {"answer": empty_res, "reference": kbinfos, "prompt": "\n\n### Query:\n%s" % " ".join(questions),
"audio_binary": tts(tts_mdl, empty_res)}
return {"answer": prompt_config["empty_response"], "reference": kbinfos}
kwargs["knowledge"] = "\n------\n" + "\n\n------\n\n".join(knowledges)
@ -565,7 +587,8 @@ def chat(dialog, messages, stream=True, **kwargs):
if langfuse_tracer:
langfuse_generation = langfuse_tracer.start_generation(
trace_context=trace_context, name="chat", model=llm_model_config["llm_name"], input={"prompt": prompt, "prompt4citation": prompt4citation, "messages": msg}
trace_context=trace_context, name="chat", model=llm_model_config["llm_name"],
input={"prompt": prompt, "prompt4citation": prompt4citation, "messages": msg}
)
if stream:
@ -575,12 +598,12 @@ def chat(dialog, messages, stream=True, **kwargs):
if thought:
ans = re.sub(r"^.*</think>", "", ans, flags=re.DOTALL)
answer = ans
delta_ans = ans[len(last_ans) :]
delta_ans = ans[len(last_ans):]
if num_tokens_from_string(delta_ans) < 16:
continue
last_ans = answer
yield {"answer": thought + answer, "reference": {}, "audio_binary": tts(tts_mdl, delta_ans)}
delta_ans = answer[len(last_ans) :]
delta_ans = answer[len(last_ans):]
if delta_ans:
yield {"answer": thought + answer, "reference": {}, "audio_binary": tts(tts_mdl, delta_ans)}
yield decorate_answer(thought + answer)
@ -639,7 +662,7 @@ Please write the SQL, only SQL, without any other explanations or text.
logging.debug(f"{question} get SQL(refined): {sql}")
tried_times += 1
return settings.retrievaler.sql_retrieval(sql, format="json"), sql
return settings.retriever.sql_retrieval(sql, format="json"), sql
tbl, sql = get_table()
if tbl is None:
@ -676,7 +699,9 @@ Please write the SQL, only SQL, without any other explanations or text.
# compose Markdown table
columns = (
"|" + "|".join([re.sub(r"(/.*|[^]+)", "", field_map.get(tbl["columns"][i]["name"], tbl["columns"][i]["name"])) for i in column_idx]) + ("|Source|" if docid_idx and docid_idx else "|")
"|" + "|".join(
[re.sub(r"(/.*|[^]+)", "", field_map.get(tbl["columns"][i]["name"], tbl["columns"][i]["name"])) for i in column_idx]) + (
"|Source|" if docid_idx and docid_idx else "|")
)
line = "|" + "|".join(["------" for _ in range(len(column_idx))]) + ("|------|" if docid_idx and docid_idx else "")
@ -731,7 +756,7 @@ def ask(question, kb_ids, tenant_id, chat_llm_name=None, search_config={}):
embedding_list = list(set([kb.embd_id for kb in kbs]))
is_knowledge_graph = all([kb.parser_id == ParserType.KG for kb in kbs])
retriever = settings.retrievaler if not is_knowledge_graph else settings.kg_retrievaler
retriever = settings.retriever if not is_knowledge_graph else settings.kg_retriever
embd_mdl = LLMBundle(tenant_id, LLMType.EMBEDDING, embedding_list[0])
chat_mdl = LLMBundle(tenant_id, LLMType.CHAT, chat_llm_name)
@ -753,7 +778,7 @@ def ask(question, kb_ids, tenant_id, chat_llm_name=None, search_config={}):
doc_ids = None
kbinfos = retriever.retrieval(
question = question,
question=question,
embd_mdl=embd_mdl,
tenant_ids=tenant_ids,
kb_ids=kb_ids,
@ -775,7 +800,8 @@ def ask(question, kb_ids, tenant_id, chat_llm_name=None, search_config={}):
def decorate_answer(answer):
nonlocal knowledges, kbinfos, sys_prompt
answer, idx = retriever.insert_citations(answer, [ck["content_ltks"] for ck in kbinfos["chunks"]], [ck["vector"] for ck in kbinfos["chunks"]], embd_mdl, tkweight=0.7, vtweight=0.3)
answer, idx = retriever.insert_citations(answer, [ck["content_ltks"] for ck in kbinfos["chunks"]], [ck["vector"] for ck in kbinfos["chunks"]],
embd_mdl, tkweight=0.7, vtweight=0.3)
idx = set([kbinfos["chunks"][int(i)]["doc_id"] for i in idx])
recall_docs = [d for d in kbinfos["doc_aggs"] if d["doc_id"] in idx]
if not recall_docs:
@ -826,7 +852,7 @@ def gen_mindmap(question, kb_ids, tenant_id, search_config={}):
if not doc_ids:
doc_ids = None
ranks = settings.retrievaler.retrieval(
ranks = settings.retriever.retrieval(
question=question,
embd_mdl=embd_mdl,
tenant_ids=tenant_ids,

View File

@ -24,12 +24,13 @@ from io import BytesIO
import trio
import xxhash
from peewee import fn
from peewee import fn, Case, JOIN
from api import settings
from api.constants import IMG_BASE64_PREFIX, FILE_NAME_LEN_LIMIT
from api.db import FileType, LLMType, ParserType, StatusEnum, TaskStatus, UserTenantRole
from api.db.db_models import DB, Document, Knowledgebase, Task, Tenant, UserTenant, File2Document, File
from api.db import FileType, LLMType, ParserType, StatusEnum, TaskStatus, UserTenantRole, CanvasCategory
from api.db.db_models import DB, Document, Knowledgebase, Task, Tenant, UserTenant, File2Document, File, UserCanvas, \
User
from api.db.db_utils import bulk_insert_into_db
from api.db.services.common_service import CommonService
from api.db.services.knowledgebase_service import KnowledgebaseService
@ -51,6 +52,7 @@ class DocumentService(CommonService):
cls.model.thumbnail,
cls.model.kb_id,
cls.model.parser_id,
cls.model.pipeline_id,
cls.model.parser_config,
cls.model.source_type,
cls.model.type,
@ -77,9 +79,12 @@ class DocumentService(CommonService):
@classmethod
@DB.connection_context()
def get_list(cls, kb_id, page_number, items_per_page,
orderby, desc, keywords, id, name):
orderby, desc, keywords, id, name, suffix=None, run = None):
fields = cls.get_cls_model_fields()
docs = cls.model.select(*fields).join(File2Document, on = (File2Document.document_id == cls.model.id)).join(File, on = (File.id == File2Document.file_id)).where(cls.model.kb_id == kb_id)
docs = cls.model.select(*[*fields, UserCanvas.title]).join(File2Document, on = (File2Document.document_id == cls.model.id))\
.join(File, on = (File.id == File2Document.file_id))\
.join(UserCanvas, on = ((cls.model.pipeline_id == UserCanvas.id) & (UserCanvas.canvas_category == CanvasCategory.DataFlow.value)), join_type=JOIN.LEFT_OUTER)\
.where(cls.model.kb_id == kb_id)
if id:
docs = docs.where(
cls.model.id == id)
@ -91,6 +96,10 @@ class DocumentService(CommonService):
docs = docs.where(
fn.LOWER(cls.model.name).contains(keywords.lower())
)
if suffix:
docs = docs.where(cls.model.suffix.in_(suffix))
if run:
docs = docs.where(cls.model.run.in_(run))
if desc:
docs = docs.order_by(cls.model.getter_by(orderby).desc())
else:
@ -117,12 +126,22 @@ class DocumentService(CommonService):
orderby, desc, keywords, run_status, types, suffix):
fields = cls.get_cls_model_fields()
if keywords:
docs = cls.model.select(*fields).join(File2Document, on=(File2Document.document_id == cls.model.id)).join(File, on=(File.id == File2Document.file_id)).where(
(cls.model.kb_id == kb_id),
(fn.LOWER(cls.model.name).contains(keywords.lower()))
)
docs = cls.model.select(*[*fields, UserCanvas.title.alias("pipeline_name"), User.nickname])\
.join(File2Document, on=(File2Document.document_id == cls.model.id))\
.join(File, on=(File.id == File2Document.file_id))\
.join(UserCanvas, on=(cls.model.pipeline_id == UserCanvas.id), join_type=JOIN.LEFT_OUTER)\
.join(User, on=(cls.model.created_by == User.id), join_type=JOIN.LEFT_OUTER)\
.where(
(cls.model.kb_id == kb_id),
(fn.LOWER(cls.model.name).contains(keywords.lower()))
)
else:
docs = cls.model.select(*fields).join(File2Document, on=(File2Document.document_id == cls.model.id)).join(File, on=(File.id == File2Document.file_id)).where(cls.model.kb_id == kb_id)
docs = cls.model.select(*[*fields, UserCanvas.title.alias("pipeline_name"), User.nickname])\
.join(File2Document, on=(File2Document.document_id == cls.model.id))\
.join(UserCanvas, on=(cls.model.pipeline_id == UserCanvas.id), join_type=JOIN.LEFT_OUTER)\
.join(File, on=(File.id == File2Document.file_id))\
.join(User, on=(cls.model.created_by == User.id), join_type=JOIN.LEFT_OUTER)\
.where(cls.model.kb_id == kb_id)
if run_status:
docs = docs.where(cls.model.run.in_(run_status))
@ -228,6 +247,46 @@ class DocumentService(CommonService):
return int(query.scalar()) or 0
@classmethod
@DB.connection_context()
def get_all_doc_ids_by_kb_ids(cls, kb_ids):
fields = [cls.model.id]
docs = cls.model.select(*fields).where(cls.model.kb_id.in_(kb_ids))
docs.order_by(cls.model.create_time.asc())
# maybe cause slow query by deep paginate, optimize later
offset, limit = 0, 100
res = []
while True:
doc_batch = docs.offset(offset).limit(limit)
_temp = list(doc_batch.dicts())
if not _temp:
break
res.extend(_temp)
offset += limit
return res
@classmethod
@DB.connection_context()
def get_all_docs_by_creator_id(cls, creator_id):
fields = [
cls.model.id, cls.model.kb_id, cls.model.token_num, cls.model.chunk_num, Knowledgebase.tenant_id
]
docs = cls.model.select(*fields).join(Knowledgebase, on=(Knowledgebase.id == cls.model.kb_id)).where(
cls.model.created_by == creator_id
)
docs.order_by(cls.model.create_time.asc())
# maybe cause slow query by deep paginate, optimize later
offset, limit = 0, 100
res = []
while True:
doc_batch = docs.offset(offset).limit(limit)
_temp = list(doc_batch.dicts())
if not _temp:
break
res.extend(_temp)
offset += limit
return res
@classmethod
@DB.connection_context()
def insert(cls, doc):
@ -330,8 +389,7 @@ class DocumentService(CommonService):
process_duration=cls.model.process_duration + duration).where(
cls.model.id == doc_id).execute()
if num == 0:
raise LookupError(
"Document not found which is supposed to be there")
logging.warning("Document not found which is supposed to be there")
num = Knowledgebase.update(
token_num=Knowledgebase.token_num +
token_num,
@ -597,17 +655,33 @@ class DocumentService(CommonService):
@DB.connection_context()
def update_progress(cls):
docs = cls.get_unfinished_docs()
cls._sync_progress(docs)
@classmethod
@DB.connection_context()
def update_progress_immediately(cls, docs:list[dict]):
if not docs:
return
cls._sync_progress(docs)
@classmethod
@DB.connection_context()
def _sync_progress(cls, docs:list[dict]):
from api.db.services.task_service import TaskService
for d in docs:
try:
tsks = Task.query(doc_id=d["id"], order_by=Task.create_time)
tsks = TaskService.query(doc_id=d["id"], order_by=Task.create_time)
if not tsks:
continue
msg = []
prg = 0
finished = True
bad = 0
has_raptor = False
has_graphrag = False
e, doc = DocumentService.get_by_id(d["id"])
status = doc.run # TaskStatus.RUNNING.value
priority = 0
@ -619,24 +693,14 @@ class DocumentService(CommonService):
prg += t.progress if t.progress >= 0 else 0
if t.progress_msg.strip():
msg.append(t.progress_msg)
if t.task_type == "raptor":
has_raptor = True
elif t.task_type == "graphrag":
has_graphrag = True
priority = max(priority, t.priority)
prg /= len(tsks)
if finished and bad:
prg = -1
status = TaskStatus.FAIL.value
elif finished:
if (d["parser_config"].get("raptor") or {}).get("use_raptor") and not has_raptor:
queue_raptor_o_graphrag_tasks(d, "raptor", priority)
prg = 0.98 * len(tsks) / (len(tsks) + 1)
elif (d["parser_config"].get("graphrag") or {}).get("use_graphrag") and not has_graphrag:
queue_raptor_o_graphrag_tasks(d, "graphrag", priority)
prg = 0.98 * len(tsks) / (len(tsks) + 1)
else:
status = TaskStatus.DONE.value
prg = 1
status = TaskStatus.DONE.value
msg = "\n".join(sorted(msg))
info = {
@ -648,7 +712,7 @@ class DocumentService(CommonService):
info["progress"] = prg
if msg:
info["progress_msg"] = msg
if msg.endswith("created task graphrag") or msg.endswith("created task raptor"):
if msg.endswith("created task graphrag") or msg.endswith("created task raptor") or msg.endswith("created task mindmap"):
info["progress_msg"] += "\n%d tasks are ahead in the queue..."%get_queue_length(priority)
else:
info["progress_msg"] = "%d tasks are ahead in the queue..."%get_queue_length(priority)
@ -660,8 +724,16 @@ class DocumentService(CommonService):
@classmethod
@DB.connection_context()
def get_kb_doc_count(cls, kb_id):
return len(cls.model.select(cls.model.id).where(
cls.model.kb_id == kb_id).dicts())
return cls.model.select().where(cls.model.kb_id == kb_id).count()
@classmethod
@DB.connection_context()
def get_all_kb_doc_count(cls):
result = {}
rows = cls.model.select(cls.model.kb_id, fn.COUNT(cls.model.id).alias('count')).group_by(cls.model.kb_id)
for row in rows:
result[row.kb_id] = row.count
return result
@classmethod
@DB.connection_context()
@ -674,21 +746,75 @@ class DocumentService(CommonService):
return False
def queue_raptor_o_graphrag_tasks(doc, ty, priority):
chunking_config = DocumentService.get_chunking_config(doc["id"])
@classmethod
@DB.connection_context()
def knowledgebase_basic_info(cls, kb_id: str) -> dict[str, int]:
# cancelled: run == "2" but progress can vary
cancelled = (
cls.model.select(fn.COUNT(1))
.where((cls.model.kb_id == kb_id) & (cls.model.run == TaskStatus.CANCEL))
.scalar()
)
row = (
cls.model.select(
# finished: progress == 1
fn.COALESCE(fn.SUM(Case(None, [(cls.model.progress == 1, 1)], 0)), 0).alias("finished"),
# failed: progress == -1
fn.COALESCE(fn.SUM(Case(None, [(cls.model.progress == -1, 1)], 0)), 0).alias("failed"),
# processing: 0 <= progress < 1
fn.COALESCE(
fn.SUM(
Case(
None,
[
(((cls.model.progress == 0) | ((cls.model.progress > 0) & (cls.model.progress < 1))), 1),
],
0,
)
),
0,
).alias("processing"),
)
.where(
(cls.model.kb_id == kb_id)
& ((cls.model.run.is_null(True)) | (cls.model.run != TaskStatus.CANCEL))
)
.dicts()
.get()
)
return {
"processing": int(row["processing"]),
"finished": int(row["finished"]),
"failed": int(row["failed"]),
"cancelled": int(cancelled),
}
def queue_raptor_o_graphrag_tasks(sample_doc_id, ty, priority, fake_doc_id="", doc_ids=[]):
"""
You can provide a fake_doc_id to bypass the restriction of tasks at the knowledgebase level.
Optionally, specify a list of doc_ids to determine which documents participate in the task.
"""
assert ty in ["graphrag", "raptor", "mindmap"], "type should be graphrag, raptor or mindmap"
chunking_config = DocumentService.get_chunking_config(sample_doc_id["id"])
hasher = xxhash.xxh64()
for field in sorted(chunking_config.keys()):
hasher.update(str(chunking_config[field]).encode("utf-8"))
def new_task():
nonlocal doc
nonlocal sample_doc_id
return {
"id": get_uuid(),
"doc_id": doc["id"],
"doc_id": sample_doc_id["id"],
"from_page": 100000000,
"to_page": 100000000,
"task_type": ty,
"progress_msg": datetime.now().strftime("%H:%M:%S") + " created task " + ty
"progress_msg": datetime.now().strftime("%H:%M:%S") + " created task " + ty,
"begin_at": datetime.now(),
}
task = new_task()
@ -697,11 +823,18 @@ def queue_raptor_o_graphrag_tasks(doc, ty, priority):
hasher.update(ty.encode("utf-8"))
task["digest"] = hasher.hexdigest()
bulk_insert_into_db(Task, [task], True)
task["doc_id"] = fake_doc_id
task["doc_ids"] = doc_ids
DocumentService.begin2parse(sample_doc_id["id"])
assert REDIS_CONN.queue_product(get_svr_queue_name(priority), message=task), "Can't access Redis. Please check the Redis' status."
return task["id"]
def get_queue_length(priority):
group_info = REDIS_CONN.queue_info(get_svr_queue_name(priority), SVR_CONSUMER_GROUP_NAME)
if not group_info:
return 0
return int(group_info.get("lag", 0) or 0)
@ -847,3 +980,4 @@ def doc_upload_and_parse(conversation_id, file_objs, user_id):
doc_id, kb.id, token_counts[doc_id], chunk_counts[doc_id], 0)
return [d["id"] for d, _ in files]

View File

@ -38,6 +38,12 @@ class File2DocumentService(CommonService):
objs = cls.model.select().where(cls.model.document_id == document_id)
return objs
@classmethod
@DB.connection_context()
def get_by_document_ids(cls, document_ids):
objs = cls.model.select().where(cls.model.document_id.in_(document_ids))
return list(objs.dicts())
@classmethod
@DB.connection_context()
def insert(cls, obj):
@ -50,6 +56,15 @@ class File2DocumentService(CommonService):
def delete_by_file_id(cls, file_id):
return cls.model.delete().where(cls.model.file_id == file_id).execute()
@classmethod
@DB.connection_context()
def delete_by_document_ids_or_file_ids(cls, document_ids, file_ids):
if not document_ids:
return cls.model.delete().where(cls.model.file_id.in_(file_ids)).execute()
elif not file_ids:
return cls.model.delete().where(cls.model.document_id.in_(document_ids)).execute()
return cls.model.delete().where(cls.model.document_id.in_(document_ids) | cls.model.file_id.in_(file_ids)).execute()
@classmethod
@DB.connection_context()
def delete_by_document_id(cls, doc_id):

View File

@ -161,6 +161,23 @@ class FileService(CommonService):
result_ids.append(folder_id)
return result_ids
@classmethod
@DB.connection_context()
def get_all_file_ids_by_tenant_id(cls, tenant_id):
fields = [cls.model.id]
files = cls.model.select(*fields).where(cls.model.tenant_id == tenant_id)
files.order_by(cls.model.create_time.asc())
offset, limit = 0, 100
res = []
while True:
file_batch = files.offset(offset).limit(limit)
_temp = list(file_batch.dicts())
if not _temp:
break
res.extend(_temp)
offset += limit
return res
@classmethod
@DB.connection_context()
def create_folder(cls, file, parent_id, name, count):
@ -440,6 +457,7 @@ class FileService(CommonService):
"id": doc_id,
"kb_id": kb.id,
"parser_id": self.get_parser(filetype, filename, kb.parser_id),
"pipeline_id": kb.pipeline_id,
"parser_config": kb.parser_config,
"created_by": user_id,
"type": filetype,
@ -458,6 +476,16 @@ class FileService(CommonService):
return err, files
@classmethod
@DB.connection_context()
def list_all_files_by_parent_id(cls, parent_id):
try:
files = cls.model.select().where((cls.model.parent_id == parent_id) & (cls.model.id != parent_id))
return list(files)
except Exception:
logging.exception("list_by_parent_id failed")
raise RuntimeError("Database error (list_by_parent_id)!")
@staticmethod
def parse_docs(file_objs, user_id):
exe = ThreadPoolExecutor(max_workers=12)
@ -495,7 +523,7 @@ class FileService(CommonService):
return ParserType.AUDIO.value
if re.search(r"\.(ppt|pptx|pages)$", filename):
return ParserType.PRESENTATION.value
if re.search(r"\.(eml)$", filename):
if re.search(r"\.(msg|eml)$", filename):
return ParserType.EMAIL.value
return default

View File

@ -15,10 +15,10 @@
#
from datetime import datetime
from peewee import fn
from peewee import fn, JOIN
from api.db import StatusEnum, TenantPermission
from api.db.db_models import DB, Document, Knowledgebase, Tenant, User, UserTenant
from api.db.db_models import DB, Document, Knowledgebase, User, UserTenant, UserCanvas
from api.db.services.common_service import CommonService
from api.utils import current_timestamp, datetime_format
@ -190,6 +190,41 @@ class KnowledgebaseService(CommonService):
return list(kbs.dicts()), count
@classmethod
@DB.connection_context()
def get_all_kb_by_tenant_ids(cls, tenant_ids, user_id):
# will get all permitted kb, be cautious.
fields = [
cls.model.name,
cls.model.language,
cls.model.permission,
cls.model.doc_num,
cls.model.token_num,
cls.model.chunk_num,
cls.model.status,
cls.model.create_date,
cls.model.update_date
]
# find team kb and owned kb
kbs = cls.model.select(*fields).where(
(cls.model.tenant_id.in_(tenant_ids) & (cls.model.permission ==TenantPermission.TEAM.value)) | (
cls.model.tenant_id == user_id
)
)
# sort by create_time asc
kbs.order_by(cls.model.create_time.asc())
# maybe cause slow query by deep paginate, optimize later.
offset, limit = 0, 50
res = []
while True:
kb_batch = kbs.offset(offset).limit(limit)
_temp = list(kb_batch.dicts())
if not _temp:
break
res.extend(_temp)
offset += limit
return res
@classmethod
@DB.connection_context()
def get_kb_ids(cls, tenant_id):
@ -225,20 +260,29 @@ class KnowledgebaseService(CommonService):
cls.model.token_num,
cls.model.chunk_num,
cls.model.parser_id,
cls.model.pipeline_id,
UserCanvas.title.alias("pipeline_name"),
UserCanvas.avatar.alias("pipeline_avatar"),
cls.model.parser_config,
cls.model.pagerank,
cls.model.graphrag_task_id,
cls.model.graphrag_task_finish_at,
cls.model.raptor_task_id,
cls.model.raptor_task_finish_at,
cls.model.mindmap_task_id,
cls.model.mindmap_task_finish_at,
cls.model.create_time,
cls.model.update_time
]
kbs = cls.model.select(*fields).join(Tenant, on=(
(Tenant.id == cls.model.tenant_id) & (Tenant.status == StatusEnum.VALID.value))).where(
kbs = cls.model.select(*fields)\
.join(UserCanvas, on=(cls.model.pipeline_id == UserCanvas.id), join_type=JOIN.LEFT_OUTER)\
.where(
(cls.model.id == kb_id),
(cls.model.status == StatusEnum.VALID.value)
)
).dicts()
if not kbs:
return
d = kbs[0].to_dict()
return d
return kbs[0]
@classmethod
@DB.connection_context()
@ -335,6 +379,7 @@ class KnowledgebaseService(CommonService):
# name: Optional name filter
# Returns:
# List of knowledge bases
# Total count of knowledge bases
kbs = cls.model.select()
if id:
kbs = kbs.where(cls.model.id == id)
@ -346,14 +391,16 @@ class KnowledgebaseService(CommonService):
cls.model.tenant_id == user_id))
& (cls.model.status == StatusEnum.VALID.value)
)
if desc:
kbs = kbs.order_by(cls.model.getter_by(orderby).desc())
else:
kbs = kbs.order_by(cls.model.getter_by(orderby).asc())
total = kbs.count()
kbs = kbs.paginate(page_number, items_per_page)
return list(kbs.dicts())
return list(kbs.dicts()), total
@classmethod
@DB.connection_context()
@ -436,3 +483,17 @@ class KnowledgebaseService(CommonService):
else:
raise e
@classmethod
@DB.connection_context()
def decrease_document_num_in_delete(cls, kb_id, doc_num_info: dict):
kb_row = cls.model.get_by_id(kb_id)
if not kb_row:
raise RuntimeError(f"kb_id {kb_id} does not exist")
update_dict = {
'doc_num': kb_row.doc_num - doc_num_info['doc_num'],
'chunk_num': kb_row.chunk_num - doc_num_info['chunk_num'],
'token_num': kb_row.token_num - doc_num_info['token_num'],
'update_time': current_timestamp(),
'update_date': datetime_format(datetime.now())
}
return cls.model.update(update_dict).where(cls.model.id == kb_id).execute()

View File

@ -51,6 +51,11 @@ class TenantLangfuseService(CommonService):
except peewee.DoesNotExist:
return None
@classmethod
@DB.connection_context()
def delete_ty_tenant_id(cls, tenant_id):
return cls.model.delete().where(cls.model.tenant_id == tenant_id).execute()
@classmethod
def update_by_tenant(cls, tenant_id, langfuse_keys):
langfuse_keys["update_time"] = current_timestamp()

View File

@ -205,32 +205,31 @@ class LLMBundle(LLM4Tenant):
return txt
return txt[last_think_end + len("</think>") :]
@staticmethod
def _clean_param(chat_partial, **kwargs):
func = chat_partial.func
sig = inspect.signature(func)
keyword_args = []
support_var_args = False
for param in sig.parameters.values():
if param.kind == inspect.Parameter.VAR_KEYWORD or param.kind == inspect.Parameter.VAR_POSITIONAL:
support_var_args = True
elif param.kind == inspect.Parameter.KEYWORD_ONLY:
keyword_args.append(param.name)
allowed_params = set()
use_kwargs = kwargs
if not support_var_args:
use_kwargs = {k: v for k, v in kwargs.items() if k in keyword_args}
return use_kwargs
for param in sig.parameters.values():
if param.kind == inspect.Parameter.VAR_KEYWORD:
support_var_args = True
elif param.kind in (inspect.Parameter.POSITIONAL_OR_KEYWORD, inspect.Parameter.KEYWORD_ONLY):
allowed_params.add(param.name)
if support_var_args:
return kwargs
else:
return {k: v for k, v in kwargs.items() if k in allowed_params}
def chat(self, system: str, history: list, gen_conf: dict = {}, **kwargs) -> str:
if self.langfuse:
generation = self.langfuse.start_generation(trace_context=self.trace_context, name="chat", model=self.llm_name, input={"system": system, "history": history})
chat_partial = partial(self.mdl.chat, system, history, gen_conf)
chat_partial = partial(self.mdl.chat, system, history, gen_conf, **kwargs)
if self.is_tools and self.mdl.is_tools:
chat_partial = partial(self.mdl.chat_with_tools, system, history, gen_conf)
chat_partial = partial(self.mdl.chat_with_tools, system, history, gen_conf, **kwargs)
use_kwargs = self._clean_param(chat_partial, **kwargs)
txt, used_tokens = chat_partial(**use_kwargs)
txt = self._remove_reasoning_content(txt)
@ -266,7 +265,7 @@ class LLMBundle(LLM4Tenant):
break
if txt.endswith("</think>"):
ans = ans.rstrip("</think>")
ans = ans[: -len("</think>")]
if not self.verbose_tool_use:
txt = re.sub(r"<tool_call>.*?</tool_call>", "", txt, flags=re.DOTALL)

View File

@ -33,7 +33,8 @@ class MCPServerService(CommonService):
@classmethod
@DB.connection_context()
def get_servers(cls, tenant_id: str, id_list: list[str] | None, page_number, items_per_page, orderby, desc, keywords):
def get_servers(cls, tenant_id: str, id_list: list[str] | None, page_number, items_per_page, orderby, desc,
keywords):
"""Retrieve all MCP servers associated with a tenant.
This method fetches all MCP servers for a given tenant, ordered by creation time.
@ -84,3 +85,8 @@ class MCPServerService(CommonService):
return bool(mcp_server), mcp_server
except Exception:
return False, None
@classmethod
@DB.connection_context()
def delete_by_tenant_id(cls, tenant_id: str):
return cls.model.delete().where(cls.model.tenant_id == tenant_id).execute()

View File

@ -0,0 +1,263 @@
#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import json
import logging
import os
from datetime import datetime, timedelta
from peewee import fn
from api.db import VALID_PIPELINE_TASK_TYPES, PipelineTaskType
from api.db.db_models import DB, Document, PipelineOperationLog
from api.db.services.canvas_service import UserCanvasService
from api.db.services.common_service import CommonService
from api.db.services.document_service import DocumentService
from api.db.services.knowledgebase_service import KnowledgebaseService
from api.db.services.task_service import GRAPH_RAPTOR_FAKE_DOC_ID
from api.utils import current_timestamp, datetime_format, get_uuid
class PipelineOperationLogService(CommonService):
model = PipelineOperationLog
@classmethod
def get_file_logs_fields(cls):
return [
cls.model.id,
cls.model.document_id,
cls.model.tenant_id,
cls.model.kb_id,
cls.model.pipeline_id,
cls.model.pipeline_title,
cls.model.parser_id,
cls.model.document_name,
cls.model.document_suffix,
cls.model.document_type,
cls.model.source_from,
cls.model.progress,
cls.model.progress_msg,
cls.model.process_begin_at,
cls.model.process_duration,
cls.model.dsl,
cls.model.task_type,
cls.model.operation_status,
cls.model.avatar,
cls.model.status,
cls.model.create_time,
cls.model.create_date,
cls.model.update_time,
cls.model.update_date,
]
@classmethod
def get_dataset_logs_fields(cls):
return [
cls.model.id,
cls.model.tenant_id,
cls.model.kb_id,
cls.model.progress,
cls.model.progress_msg,
cls.model.process_begin_at,
cls.model.process_duration,
cls.model.task_type,
cls.model.operation_status,
cls.model.avatar,
cls.model.status,
cls.model.create_time,
cls.model.create_date,
cls.model.update_time,
cls.model.update_date,
]
@classmethod
def save(cls, **kwargs):
"""
wrap this function in a transaction
"""
sample_obj = cls.model(**kwargs).save(force_insert=True)
return sample_obj
@classmethod
@DB.connection_context()
def create(cls, document_id, pipeline_id, task_type, fake_document_ids=[], dsl: str = "{}"):
referred_document_id = document_id
if referred_document_id == GRAPH_RAPTOR_FAKE_DOC_ID and fake_document_ids:
referred_document_id = fake_document_ids[0]
ok, document = DocumentService.get_by_id(referred_document_id)
if not ok:
logging.warning(f"Document for referred_document_id {referred_document_id} not found")
return
DocumentService.update_progress_immediately([document.to_dict()])
ok, document = DocumentService.get_by_id(referred_document_id)
if not ok:
logging.warning(f"Document for referred_document_id {referred_document_id} not found")
return
if document.progress not in [1, -1]:
return
operation_status = document.run
if pipeline_id:
ok, user_pipeline = UserCanvasService.get_by_id(pipeline_id)
if not ok:
raise RuntimeError(f"Pipeline {pipeline_id} not found")
tenant_id = user_pipeline.user_id
title = user_pipeline.title
avatar = user_pipeline.avatar
else:
ok, kb_info = KnowledgebaseService.get_by_id(document.kb_id)
if not ok:
raise RuntimeError(f"Cannot find knowledge base {document.kb_id} for referred_document {referred_document_id}")
tenant_id = kb_info.tenant_id
title = document.parser_id
avatar = document.thumbnail
if task_type not in VALID_PIPELINE_TASK_TYPES:
raise ValueError(f"Invalid task type: {task_type}")
if task_type in [PipelineTaskType.GRAPH_RAG, PipelineTaskType.RAPTOR, PipelineTaskType.MINDMAP]:
finish_at = document.process_begin_at + timedelta(seconds=document.process_duration)
if task_type == PipelineTaskType.GRAPH_RAG:
KnowledgebaseService.update_by_id(
document.kb_id,
{"graphrag_task_finish_at": finish_at},
)
elif task_type == PipelineTaskType.RAPTOR:
KnowledgebaseService.update_by_id(
document.kb_id,
{"raptor_task_finish_at": finish_at},
)
elif task_type == PipelineTaskType.MINDMAP:
KnowledgebaseService.update_by_id(
document.kb_id,
{"mindmap_task_finish_at": finish_at},
)
log = dict(
id=get_uuid(),
document_id=document_id, # GRAPH_RAPTOR_FAKE_DOC_ID or real document_id
tenant_id=tenant_id,
kb_id=document.kb_id,
pipeline_id=pipeline_id,
pipeline_title=title,
parser_id=document.parser_id,
document_name=document.name,
document_suffix=document.suffix,
document_type=document.type,
source_from="", # TODO: add in the future
progress=document.progress,
progress_msg=document.progress_msg,
process_begin_at=document.process_begin_at,
process_duration=document.process_duration,
dsl=json.loads(dsl),
task_type=task_type,
operation_status=operation_status,
avatar=avatar,
)
log["create_time"] = current_timestamp()
log["create_date"] = datetime_format(datetime.now())
log["update_time"] = current_timestamp()
log["update_date"] = datetime_format(datetime.now())
with DB.atomic():
obj = cls.save(**log)
limit = int(os.getenv("PIPELINE_OPERATION_LOG_LIMIT", 1000))
total = cls.model.select().where(cls.model.kb_id == document.kb_id).count()
if total > limit:
keep_ids = [m.id for m in cls.model.select(cls.model.id).where(cls.model.kb_id == document.kb_id).order_by(cls.model.create_time.desc()).limit(limit)]
deleted = cls.model.delete().where(cls.model.kb_id == document.kb_id, cls.model.id.not_in(keep_ids)).execute()
logging.info(f"[PipelineOperationLogService] Cleaned {deleted} old logs, kept latest {limit} for {document.kb_id}")
return obj
@classmethod
@DB.connection_context()
def record_pipeline_operation(cls, document_id, pipeline_id, task_type, fake_document_ids=[]):
return cls.create(document_id=document_id, pipeline_id=pipeline_id, task_type=task_type, fake_document_ids=fake_document_ids)
@classmethod
@DB.connection_context()
def get_file_logs_by_kb_id(cls, kb_id, page_number, items_per_page, orderby, desc, keywords, operation_status, types, suffix, create_date_from=None, create_date_to=None):
fields = cls.get_file_logs_fields()
if keywords:
logs = cls.model.select(*fields).where((cls.model.kb_id == kb_id), (fn.LOWER(cls.model.document_name).contains(keywords.lower())))
else:
logs = cls.model.select(*fields).where(cls.model.kb_id == kb_id)
logs = logs.where(cls.model.document_id != GRAPH_RAPTOR_FAKE_DOC_ID)
if operation_status:
logs = logs.where(cls.model.operation_status.in_(operation_status))
if types:
logs = logs.where(cls.model.document_type.in_(types))
if suffix:
logs = logs.where(cls.model.document_suffix.in_(suffix))
if create_date_from:
logs = logs.where(cls.model.create_date >= create_date_from)
if create_date_to:
logs = logs.where(cls.model.create_date <= create_date_to)
count = logs.count()
if desc:
logs = logs.order_by(cls.model.getter_by(orderby).desc())
else:
logs = logs.order_by(cls.model.getter_by(orderby).asc())
if page_number and items_per_page:
logs = logs.paginate(page_number, items_per_page)
return list(logs.dicts()), count
@classmethod
@DB.connection_context()
def get_documents_info(cls, id):
fields = [Document.id, Document.name, Document.progress, Document.kb_id]
return (
cls.model.select(*fields)
.join(Document, on=(cls.model.document_id == Document.id))
.where(
cls.model.id == id
)
.dicts()
)
@classmethod
@DB.connection_context()
def get_dataset_logs_by_kb_id(cls, kb_id, page_number, items_per_page, orderby, desc, operation_status, create_date_from=None, create_date_to=None):
fields = cls.get_dataset_logs_fields()
logs = cls.model.select(*fields).where((cls.model.kb_id == kb_id), (cls.model.document_id == GRAPH_RAPTOR_FAKE_DOC_ID))
if operation_status:
logs = logs.where(cls.model.operation_status.in_(operation_status))
if create_date_from:
logs = logs.where(cls.model.create_date >= create_date_from)
if create_date_to:
logs = logs.where(cls.model.create_date <= create_date_to)
count = logs.count()
if desc:
logs = logs.order_by(cls.model.getter_by(orderby).desc())
else:
logs = logs.order_by(cls.model.getter_by(orderby).asc())
if page_number and items_per_page:
logs = logs.paginate(page_number, items_per_page)
return list(logs.dicts()), count

View File

@ -94,7 +94,8 @@ class SearchService(CommonService):
query = (
cls.model.select(*fields)
.join(User, on=(cls.model.tenant_id == User.id))
.where(((cls.model.tenant_id.in_(joined_tenant_ids)) | (cls.model.tenant_id == user_id)) & (cls.model.status == StatusEnum.VALID.value))
.where(((cls.model.tenant_id.in_(joined_tenant_ids)) | (cls.model.tenant_id == user_id)) & (
cls.model.status == StatusEnum.VALID.value))
)
if keywords:
@ -110,3 +111,8 @@ class SearchService(CommonService):
query = query.paginate(page_number, items_per_page)
return list(query.dicts()), count
@classmethod
@DB.connection_context()
def delete_by_tenant_id(cls, tenant_id):
return cls.model.delete().where(cls.model.tenant_id == tenant_id).execute()

View File

@ -35,6 +35,8 @@ from rag.utils.redis_conn import REDIS_CONN
from api import settings
from rag.nlp import search
CANVAS_DEBUG_DOC_ID = "dataflow_x"
GRAPH_RAPTOR_FAKE_DOC_ID = "graph_raptor_x"
def trim_header_by_lines(text: str, max_length) -> str:
# Trim header text to maximum length while preserving line breaks
@ -70,7 +72,7 @@ class TaskService(CommonService):
@classmethod
@DB.connection_context()
def get_task(cls, task_id):
def get_task(cls, task_id, doc_ids=[]):
"""Retrieve detailed task information by task ID.
This method fetches comprehensive task details including associated document,
@ -84,6 +86,10 @@ class TaskService(CommonService):
dict: Task details dictionary containing all task information and related metadata.
Returns None if task is not found or has exceeded retry limit.
"""
doc_id = cls.model.doc_id
if doc_id == CANVAS_DEBUG_DOC_ID and doc_ids:
doc_id = doc_ids[0]
fields = [
cls.model.id,
cls.model.doc_id,
@ -109,7 +115,7 @@ class TaskService(CommonService):
]
docs = (
cls.model.select(*fields)
.join(Document, on=(cls.model.doc_id == Document.id))
.join(Document, on=(doc_id == Document.id))
.join(Knowledgebase, on=(Document.kb_id == Knowledgebase.id))
.join(Tenant, on=(Knowledgebase.tenant_id == Tenant.id))
.where(cls.model.id == task_id)
@ -159,7 +165,7 @@ class TaskService(CommonService):
]
tasks = (
cls.model.select(*fields).order_by(cls.model.from_page.asc(), cls.model.create_time.desc())
.where(cls.model.doc_id == doc_id)
.where(cls.model.doc_id == doc_id)
)
tasks = list(tasks.dicts())
if not tasks:
@ -199,18 +205,18 @@ class TaskService(CommonService):
cls.model.select(
*[Document.id, Document.kb_id, Document.location, File.parent_id]
)
.join(Document, on=(cls.model.doc_id == Document.id))
.join(
.join(Document, on=(cls.model.doc_id == Document.id))
.join(
File2Document,
on=(File2Document.document_id == Document.id),
join_type=JOIN.LEFT_OUTER,
)
.join(
.join(
File,
on=(File2Document.file_id == File.id),
join_type=JOIN.LEFT_OUTER,
)
.where(
.where(
Document.status == StatusEnum.VALID.value,
Document.run == TaskStatus.RUNNING.value,
~(Document.type == FileType.VIRTUAL.value),
@ -288,25 +294,33 @@ class TaskService(CommonService):
cls.model.update(progress=prog).where(
(cls.model.id == id) &
(
(cls.model.progress != -1) &
((prog == -1) | (prog > cls.model.progress))
(cls.model.progress != -1) &
((prog == -1) | (prog > cls.model.progress))
)
).execute()
return
else:
with DB.lock("update_progress", -1):
if info["progress_msg"]:
progress_msg = trim_header_by_lines(task.progress_msg + "\n" + info["progress_msg"], 3000)
cls.model.update(progress_msg=progress_msg).where(cls.model.id == id).execute()
if "progress" in info:
prog = info["progress"]
cls.model.update(progress=prog).where(
(cls.model.id == id) &
(
(cls.model.progress != -1) &
((prog == -1) | (prog > cls.model.progress))
)
).execute()
with DB.lock("update_progress", -1):
if info["progress_msg"]:
progress_msg = trim_header_by_lines(task.progress_msg + "\n" + info["progress_msg"], 3000)
cls.model.update(progress_msg=progress_msg).where(cls.model.id == id).execute()
if "progress" in info:
prog = info["progress"]
cls.model.update(progress=prog).where(
(cls.model.id == id) &
(
(cls.model.progress != -1) &
((prog == -1) | (prog > cls.model.progress))
)
).execute()
process_duration = (datetime.now() - task.begin_at).total_seconds()
cls.model.update(process_duration=process_duration).where(cls.model.id == id).execute()
@classmethod
@DB.connection_context()
def delete_by_doc_ids(cls, doc_ids):
"""Delete task associated with a document."""
return cls.model.delete().where(cls.model.doc_id.in_(doc_ids)).execute()
def queue_tasks(doc: dict, bucket: str, name: str, priority: int):
@ -329,8 +343,16 @@ def queue_tasks(doc: dict, bucket: str, name: str, priority: int):
- Task digests are calculated for optimization and reuse
- Previous task chunks may be reused if available
"""
def new_task():
return {"id": get_uuid(), "doc_id": doc["id"], "progress": 0.0, "from_page": 0, "to_page": 100000000}
return {
"id": get_uuid(),
"doc_id": doc["id"],
"progress": 0.0,
"from_page": 0,
"to_page": 100000000,
"begin_at": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
}
parse_task_array = []
@ -343,7 +365,7 @@ def queue_tasks(doc: dict, bucket: str, name: str, priority: int):
page_size = doc["parser_config"].get("task_page_size") or 12
if doc["parser_id"] == "paper":
page_size = doc["parser_config"].get("task_page_size") or 22
if doc["parser_id"] in ["one", "knowledge_graph"] or do_layout != "DeepDOC":
if doc["parser_id"] in ["one", "knowledge_graph"] or do_layout != "DeepDOC" or doc["parser_config"].get("toc", True):
page_size = 10 ** 9
page_ranges = doc["parser_config"].get("pages") or [(1, 10 ** 5)]
for s, e in page_ranges:
@ -472,36 +494,29 @@ def has_canceled(task_id):
return False
def queue_dataflow(dsl:str, tenant_id:str, doc_id:str, task_id:str, flow_id:str, priority: int, callback=None) -> tuple[bool, str]:
"""
Returns a tuple (success: bool, error_message: str).
"""
_ = callback
def queue_dataflow(tenant_id:str, flow_id:str, task_id:str, doc_id:str=CANVAS_DEBUG_DOC_ID, file:dict=None, priority: int=0, rerun:bool=False) -> tuple[bool, str]:
task = dict(
id=get_uuid() if not task_id else task_id,
doc_id=doc_id,
from_page=0,
to_page=100000000,
task_type="dataflow",
priority=priority,
id=task_id,
doc_id=doc_id,
from_page=0,
to_page=100000000,
task_type="dataflow" if not rerun else "dataflow_rerun",
priority=priority,
begin_at= datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
)
TaskService.model.delete().where(TaskService.model.id == task["id"]).execute()
if doc_id not in [CANVAS_DEBUG_DOC_ID, GRAPH_RAPTOR_FAKE_DOC_ID]:
TaskService.model.delete().where(TaskService.model.doc_id == doc_id).execute()
DocumentService.begin2parse(doc_id)
bulk_insert_into_db(model=Task, data_source=[task], replace_on_conflict=True)
kb_id = DocumentService.get_knowledgebase_id(doc_id)
if not kb_id:
return False, f"Can't find KB of this document: {doc_id}"
task["kb_id"] = kb_id
task["kb_id"] = DocumentService.get_knowledgebase_id(doc_id)
task["tenant_id"] = tenant_id
task["task_type"] = "dataflow"
task["dsl"] = dsl
task["dataflow_id"] = get_uuid() if not flow_id else flow_id
task["dataflow_id"] = flow_id
task["file"] = file
if not REDIS_CONN.queue_product(
get_svr_queue_name(priority), message=task
get_svr_queue_name(priority), message=task
):
return False, "Can't access Redis. Please check the Redis' status."

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