Compare commits

..

66 Commits

Author SHA1 Message Date
32dbed36e3 Fix: Unified terminology to "Pipeline" and optimized related component logic. #9869 (#10394)
### What problem does this PR solve?

Fix: Unified terminology to "Pipeline" and optimized related component
logic. #9869

- Added logic to clear pipeline_id when parseType changes in the chunk
method dialog.
- Fixed an issue in the Tooltip form component that prevented clicks
from triggering saves.
### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-30 19:53:15 +08:00
7f62ab8eb3 Feat: View data flow test results #9869 (#10392)
### What problem does this PR solve?

Feat: View data flow test results #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-30 18:55:55 +08:00
e87987785c fix(web): add data stream selection component (#10387)
### What problem does this PR solve?

fix(web): add data stream selection component

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-30 17:35:06 +08:00
b3b0be832a Fix: input (#10386)
### What problem does this PR solve?

Fix input of some parser.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-30 15:39:09 +08:00
20b577a72c Fix: Merge main branch (#10377)
### What problem does this PR solve?


### Type of change

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

---------

Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: jinhai <haijin.chn@gmail.com>
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
Co-authored-by: Lynn <lynn_inf@hotmail.com>
Co-authored-by: chanx <1243304602@qq.com>
Co-authored-by: balibabu <cike8899@users.noreply.github.com>
Co-authored-by: 纷繁下的无奈 <zhileihuang@126.com>
Co-authored-by: huangzl <huangzl@shinemo.com>
Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com>
Co-authored-by: Wilmer <33392318@qq.com>
Co-authored-by: Adrian Weidig <adrianweidig@gmx.net>
Co-authored-by: Zhichang Yu <yuzhichang@gmail.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Yongteng Lei <yongtengrey@outlook.com>
Co-authored-by: Liu An <asiro@qq.com>
Co-authored-by: buua436 <66937541+buua436@users.noreply.github.com>
Co-authored-by: BadwomanCraZY <511528396@qq.com>
Co-authored-by: cucusenok <31804608+cucusenok@users.noreply.github.com>
Co-authored-by: Russell Valentine <russ@coldstonelabs.org>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Billy Bao <newyorkupperbay@gmail.com>
Co-authored-by: Zhedong Cen <cenzhedong2@126.com>
Co-authored-by: TensorNull <129579691+TensorNull@users.noreply.github.com>
Co-authored-by: TensorNull <tensor.null@gmail.com>
Co-authored-by: Ajay <160579663+aybanda@users.noreply.github.com>
Co-authored-by: AB <aj@Ajays-MacBook-Air.local>
Co-authored-by: 天海蒼灆 <huangaoqin@tecpie.com>
Co-authored-by: He Wang <wanghechn@qq.com>
Co-authored-by: Atsushi Hatakeyama <atu729@icloud.com>
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
Co-authored-by: Mohamed Mathari <155896313+melmathari@users.noreply.github.com>
Co-authored-by: Mohamed Mathari <nocodeventure@Mac-mini-van-Mohamed.fritz.box>
Co-authored-by: Stephen Hu <stephenhu@seismic.com>
Co-authored-by: Shaun Zhang <zhangwfjh@users.noreply.github.com>
Co-authored-by: zhimeng123 <60221886+zhimeng123@users.noreply.github.com>
Co-authored-by: mxc <mxc@example.com>
Co-authored-by: Dominik Novotný <50611433+SgtMarmite@users.noreply.github.com>
Co-authored-by: EVGENY M <168018528+rjohny55@users.noreply.github.com>
Co-authored-by: mcoder6425 <mcoder64@gmail.com>
Co-authored-by: TeslaZY <TeslaZY@outlook.com>
Co-authored-by: lemsn <lemsn@msn.com>
Co-authored-by: lemsn <lemsn@126.com>
Co-authored-by: Adrian Gora <47756404+adagora@users.noreply.github.com>
Co-authored-by: Womsxd <45663319+Womsxd@users.noreply.github.com>
Co-authored-by: FatMii <39074672+FatMii@users.noreply.github.com>
2025-09-30 13:13:15 +08:00
4d6ff672eb Fix: Added read-only mode support and optimized navigation logic #9869 (#10370)
### What problem does this PR solve?

Fix: Added read-only mode support and optimized navigation logic #9869

- Added the `isReadonly` property to the parseResult component to
control the enabled state of editing and interactive features
- Added the `navigateToDataFile` navigation method to navigate to the
data file details page
- Refactored the `navigateToDataflowResult` method to use an object
parameter to support more flexible query parameter configuration
- Unified the `var(--accent-primary)` CSS variable format to
`rgb(var(--accent-primary))` to accommodate more styling scenarios
- Extracted the parser initialization logic into a separate hook
(`useParserInit`)

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-30 12:00:29 +08:00
fb19e24f8a Feat: Delete flow related code. #9869 (#10371)
### What problem does this PR solve?

Feat: Delete flow related code. #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-30 12:00:17 +08:00
9989e06abb Fix: debug PDF positions.. (#10365)
### What problem does this PR solve?

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-30 09:24:44 +08:00
c49e81882c Feat: Remove the copy icon from the toolbar for the Splitter and Parser nodes #9869 (#10367)
### What problem does this PR solve?
Feat: Remove the copy icon from the toolbar for the Splitter and Parser
nodes #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-29 18:55:53 +08:00
63cdce660e Feat: Limit the number of Splitter and Parser operators on the canvas to only one #9869 (#10362)
### What problem does this PR solve?

Feat: Limit the number of Splitter and Parser operators on the canvas to
only one #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-29 17:22:40 +08:00
8bc8126848 Feat: Move the github icon to the right #9869 (#10355)
### What problem does this PR solve?

Feat: Move the github icon to the right #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-29 11:50:58 +08:00
71f69cdb75 Fix: debug hierachical merging... (#10337)
### What problem does this PR solve?


### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-29 09:29:33 +08:00
664bc0b961 Feat: Displays the loading status of the data flow log #9869 (#10347)
### What problem does this PR solve?

Feat: Displays the loading status of the data flow log #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-28 19:38:46 +08:00
f4cc4dbd30 Fix: Interoperate with the pipeline rerun and unbindTask interfaces. #9869 (#10346)
### What problem does this PR solve?

Fix: Interoperate with the pipeline rerun and unbindTask interfaces.
#9869

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-28 19:32:19 +08:00
cce361d774 Feat: Filter the agent list by owner and category #9869 (#10344)
### What problem does this PR solve?

Feat: Filter the agent list by owner and category #9869
### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-28 18:43:20 +08:00
7a63b6386e Feat: limit pipeline operation logs to 1000 records (#10341)
### What problem does this PR solve?

 Limit pipeline operation logs to 1000 records.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-28 18:42:19 +08:00
4996dcb0eb Fix bug of image parser and prompt of parser supports customization (#10319)
### What problem does this PR solve?
BugFix: ERROR: KeyError: 'llm_id'
Feat: The prompt of the describe picture in cv_model supports
customization #10320


### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
2025-09-28 12:47:36 +08:00
3521eb61fe Feat: add support for deleting KB tasks (#10335)
### What problem does this PR solve?

Add support for deleting KB tasks.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-28 12:46:00 +08:00
6b9b785b5c Feat: Fixed the issue where the cursor would go to the end when changing its own data #9869 (#10316)
### What problem does this PR solve?

Feat: Fixed the issue where the cursor would go to the end when changing
its own data #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-26 19:55:42 +08:00
4c0a89f262 Feat: add initial support for Mindmap (#10310)
### What problem does this PR solve?

Add initial support for Mindmap.

### Type of change

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

---------

Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
2025-09-26 19:45:01 +08:00
76b1ee2a00 Fix: debug pipeline... (#10311)
### What problem does this PR solve?

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-26 19:11:30 +08:00
771a38434f Feat: Bring the parser operator when creating a new data flow #9869 (#10309)
### What problem does this PR solve?

Feat: Bring the parser operator when creating a new data flow #9869
### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-26 19:09:27 +08:00
886d38620e Fix: Improved knowledge base configuration and related logic #9869 (#10315)
### What problem does this PR solve?

Fix: Improved knowledge base configuration and related logic #9869
- Optimized the display logic of the Generate Log button to support
displaying completion time and task ID
- Implemented the ability to pause task generation and connect to the
data flow cancellation interface
- Fixed issues with type definitions and optional chaining calls in some
components
### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-26 19:09:11 +08:00
c7efaab30e Feat: debug extractor... (#10294)
### What problem does this PR solve?

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-26 10:51:05 +08:00
ff49454501 Feat: fetch KB config for GraphRAG and RAPTOR (#10288)
### What problem does this PR solve?

Fetch KB config for GraphRAG and RAPTOR.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-26 09:39:58 +08:00
14273b4595 Fix: Optimized knowledge base file parsing and display #9869 (#10292)
### What problem does this PR solve?

Fix: Optimized knowledge base file parsing and display #9869

- Optimized the ChunkMethodDialog component logic and adjusted
FormSchema validation rules
- Updated the document information interface definition, adding
pipeline_id, pipeline_name, and suffix fields
- Refactored the ChunkResultBar component, removing filter-related logic
and simplifying the input box and chunk creation functionality
- Improved FormatPreserveEditor to support text mode switching
(full/omitted) display control
- Updated timeline node titles to more accurate semantic descriptions
(e.g., character splitters)
- Optimized the data flow result page structure and style, dynamically
adjusting height and content display
- Fixed the table sorting function on the dataset overview page and
enhanced the display of task type icons and status mapping.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-25 19:53:49 +08:00
abe7132630 Feat: Change the corresponding prompt word according to the value of fieldName #9869 (#10291)
### What problem does this PR solve?

Feat: Change the corresponding prompt word according to the value of
fieldName #9869
### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-25 19:53:37 +08:00
c1151519a0 Feat: add foundational support for RAPTOR dataset pipeline logs (#10277)
### What problem does this PR solve?

Add foundational support for RAPTOR dataset pipeline logs.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-25 16:46:24 +08:00
a1147ce609 Feat: Allows the extractor operator's prompt to reference the output of an upstream operator #9869 (#10279)
### What problem does this PR solve?

Feat: Allows the extractor operator's prompt to reference the output of
an upstream operator #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-25 15:24:24 +08:00
d907e79893 Refa: fake doc ID. (#10276)
### What problem does this PR solve?
#10273
### Type of change

- [x] Refactoring
2025-09-25 13:52:50 +08:00
1b19d302c5 Feat: add extractor component. (#10271)
### What problem does this PR solve?


### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-25 11:34:47 +08:00
840b2b5809 Feat: add foundational support for GraphRAG dataset pipeline logs (#10264)
### What problem does this PR solve?

Add foundational support for GraphRAG dataset pipeline logs

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-25 09:35:50 +08:00
a6039cf563 Fix: Optimized the timeline component and parser editing features #9869 (#10268)
### What problem does this PR solve?

Fix: Optimized the timeline component and parser editing features #9869

- Introduced the TimelineNodeType type, restructured the timeline node
structure, and supported dynamic node generation
- Enhanced the FormatPreserveEditor component to support editing and
line wrapping of JSON-formatted content
- Added a rerun function and loading state to the parser and splitter
components
- Adjusted the timeline style and interaction logic to enhance the user
experience
- Improved the modal component and added a destroy method to support
more flexible control
- Optimized the chunk result display and operation logic, supporting
batch deletion and selection
### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-24 19:58:30 +08:00
8be7380b79 Feat: Added the context operator form for data flow #9869 (#10270)
### What problem does this PR solve?
Feat: Added the context operator form for data flow #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-24 19:58:16 +08:00
afb8a84f7b Feat: Add context node #9869 (#10266)
### What problem does this PR solve?

Feat: Add context node #9869
### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-24 18:48:31 +08:00
6bf0cda16f Feat: Cancel a running data flow test #9869 (#10257)
### What problem does this PR solve?

Feat: Cancel a running data flow test #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-24 16:33:33 +08:00
5715ca6b74 Fix: pipeline debug... (#10206)
### What problem does this PR solve?

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
2025-09-24 11:12:08 +08:00
8f465525f7 Feat: Display the log after the data flow runs #9869 (#10232)
### What problem does this PR solve?

Feat: Display the log after the data flow runs #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-23 19:30:47 +08:00
f20dca2895 Fix: Interface integration for the file log page in the overview #9869 (#10222)
### What problem does this PR solve?

Fix: Interface integration for the file log page in the overview

- Support for selecting data pipeline parsing types
- Use the RunningStatus enumeration instead of numeric status
- Obtain and display data pipeline file log details
- Replace existing mock data with new interface data on the page
- Link the file log list to the real data source
- Optimize log information display
- Fixed a typo in the field name "pipeline_id" → "pipeline_id"

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-23 10:33:17 +08:00
0c557e37ad Feat: add support for pipeline logs operation (#10207)
### What problem does this PR solve?

Add support for pipeline logs operation

### Type of change


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

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2025-09-23 09:46:31 +08:00
d0bfe8b10c Feat: Display the data flow log on the far right. #9869 (#10214)
### What problem does this PR solve?

Feat: Display the data flow log on the far right. #9869
### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-22 19:13:18 +08:00
28afc7e67d Feat: Exporting the results of data flow tests #9869 (#10209)
### What problem does this PR solve?

Feat: Exporting the results of data flow tests #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-22 18:08:04 +08:00
73c33bc8d2 Fix: Fixed the issue where the drop-down box could not be displayed after selecting a large model #9869 (#10205)
### What problem does this PR solve?

Fix: Fixed the issue where the drop-down box could not be displayed
after selecting a large model #9869

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-22 17:16:34 +08:00
476852e8f1 Feat: Remove useless files from the data flow #9869 (#10198)
### What problem does this PR solve?

Feat: Remove useless files from the data flow #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-22 15:48:39 +08:00
e6cf00cb33 Feat: Add suffix field to all operators #9869 (#10195)
### What problem does this PR solve?

Feat: Add suffix field to all operators #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-22 14:37:06 +08:00
d039d1e73d fix: Added dataset generation logging functionality #9869 (#10180)
### What problem does this PR solve?

fix: Added dataset generation logging functionality #9869

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-22 10:01:34 +08:00
d050ef568d Feat: support dataflow run. (#10182)
### What problem does this PR solve?


### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-22 09:36:21 +08:00
028c2d83e9 Feat: parse email (#10181)
### What problem does this PR solve?

- Dataflow support email.
- Fix old email parser.
- Add new depends to parse msg file.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] New Feature (non-breaking change which adds functionality)
- [x] Other (please describe): add new depends.
2025-09-22 09:29:38 +08:00
b5d6a6e8f2 Feat: Remove unnecessary data from the dsl #9869 (#10177)
### What problem does this PR solve?
Feat: Remove unnecessary data from the dsl #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-19 19:06:33 +08:00
5dfdbcce3a Feat: pipeline supports PPTX (#10167)
### What problem does this PR solve?

Pipeline supports parsing PPTX naively (text only).

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2025-09-19 12:14:35 +08:00
4fae40f66a Feat: Translate the splitter operator field #9869 (#10166)
### What problem does this PR solve?

Feat: Translate the splitter operator field #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-19 11:11:22 +08:00
a1b947ffd6 Feat: add splitter (#10161)
### What problem does this PR solve?


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

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: Lynn <lynn_inf@hotmail.com>
Co-authored-by: chanx <1243304602@qq.com>
Co-authored-by: balibabu <cike8899@users.noreply.github.com>
Co-authored-by: 纷繁下的无奈 <zhileihuang@126.com>
Co-authored-by: huangzl <huangzl@shinemo.com>
Co-authored-by: writinwaters <93570324+writinwaters@users.noreply.github.com>
Co-authored-by: Wilmer <33392318@qq.com>
Co-authored-by: Adrian Weidig <adrianweidig@gmx.net>
Co-authored-by: Zhichang Yu <yuzhichang@gmail.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Yongteng Lei <yongtengrey@outlook.com>
Co-authored-by: Liu An <asiro@qq.com>
Co-authored-by: buua436 <66937541+buua436@users.noreply.github.com>
Co-authored-by: BadwomanCraZY <511528396@qq.com>
Co-authored-by: cucusenok <31804608+cucusenok@users.noreply.github.com>
Co-authored-by: Russell Valentine <russ@coldstonelabs.org>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Billy Bao <newyorkupperbay@gmail.com>
Co-authored-by: Zhedong Cen <cenzhedong2@126.com>
Co-authored-by: TensorNull <129579691+TensorNull@users.noreply.github.com>
Co-authored-by: TensorNull <tensor.null@gmail.com>
2025-09-19 10:15:19 +08:00
f9c7404bee Fix: Updated color parsing functions and optimized component logic. (#10159)
### What problem does this PR solve?

refactor(timeline, modal, dataflow-result, dataset-overview): Updated
color parsing functions and optimized component logic.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-19 09:57:44 +08:00
5c1791d7f0 Feat: Upload files on the data flow page #9869 (#10153)
### What problem does this PR solve?

Feat: Upload files on the data flow page #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-18 16:19:53 +08:00
e82617f6de feat(dataset): Added data pipeline configuration functionality #9869 (#10132)
### What problem does this PR solve?

feat(dataset): Added data pipeline configuration functionality #9869

- Added a data pipeline selection component to link data pipelines with
knowledge bases
- Added file filtering functionality, supporting custom file filtering
rules
- Optimized the configuration interface layout, adjusting style and
spacing
- Introduced new icons and buttons to enhance the user experience

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-18 09:31:57 +08:00
a7abc57f68 Feat: Add SliderInputFormField story #9869 (#10138)
### What problem does this PR solve?

Feat: Add SliderInputFormField story #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-18 09:29:33 +08:00
cf1f523d03 Feat: Create a data flow #9869 (#10131)
### What problem does this PR solve?

Feat: Create a data flow #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-17 17:54:21 +08:00
ccb255919a Feat: Add HierarchicalMergerForm #9869 (#10122)
### What problem does this PR solve?
Feat:  Add HierarchicalMergerForm #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-17 13:47:50 +08:00
b68c84b52e Feat: Add splitter form #9869 (#10115)
### What problem does this PR solve?

Feat: Add splitter form #9869
### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-17 09:36:54 +08:00
93cf0258c3 Feat: Add splitter node component #9869 (#10114)
### What problem does this PR solve?

Feat: Add splitter node component #9869
### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-16 17:53:48 +08:00
b79fef1ca8 fix: Modify icon file, knowledge base display style (#10104)
### What problem does this PR solve?

fix: Modify icon file, knowledge base display style #9869

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-16 10:37:08 +08:00
2b50de3186 Feat: Translate the fields of the parsing operator #9869 (#10079)
### What problem does this PR solve?

Feat: Translate the fields of the parsing operator #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-15 11:24:19 +08:00
d8ef22db68 Fix(dataset): Optimized the dataset configuration page UI #9869 (#10066)
### What problem does this PR solve?
fix(dataset): Optimized the dataset configuration page UI

- Added the DataPipelineSelect component for selecting data pipelines
- Restructured the layout and style of the dataset settings page
- Removed unnecessary components and code
- Optimized data pipeline configuration
- Adjusted the Create Dataset dialog box
- Updated the processing log modal style

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-12 16:01:37 +08:00
592f3b1555 Feat: Bind options to the parser operator form. #9869 (#10069)
### What problem does this PR solve?

Feat: Bind options to the parser operator form. #9869

### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-12 16:01:24 +08:00
3404469e2a Feat: Dynamically increase the configuration of the parser operator #9869 (#10060)
### What problem does this PR solve?

Feat: Dynamically increase the configuration of the parser operator
#9869
### Type of change


- [x] New Feature (non-breaking change which adds functionality)
2025-09-12 10:14:26 +08:00
63d7382dc9 fix: Displays the dataset creation and settings page #9869 (#10052)
### 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._](fix: Displays the dataset creation and settings page #9869)

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2025-09-11 17:25:07 +08:00
682 changed files with 20686 additions and 26284 deletions

View File

@ -16,7 +16,7 @@ concurrency:
jobs:
release:
runs-on: [ "self-hosted", "ragflow-test" ]
runs-on: [ "self-hosted", "overseas" ]
steps:
- name: Ensure workspace ownership
run: echo "chown -R $USER $GITHUB_WORKSPACE" && sudo chown -R $USER $GITHUB_WORKSPACE
@ -25,7 +25,7 @@ jobs:
- name: Check out code
uses: actions/checkout@v4
with:
token: ${{ secrets.GITHUB_TOKEN }} # Use the secret as an environment variable
token: ${{ secrets.MY_GITHUB_TOKEN }} # Use the secret as an environment variable
fetch-depth: 0
fetch-tags: true
@ -69,28 +69,54 @@ 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.GITHUB_TOKEN }} # Use the secret as an environment variable
token: ${{ secrets.MY_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.
body_path: release_body.md
- name: Build and push ragflow-sdk
# https://github.com/marketplace/actions/docker-login
- name: Login to Docker Hub
uses: docker/login-action@v3
with:
username: infiniflow
password: ${{ secrets.DOCKERHUB_TOKEN }}
# https://github.com/marketplace/actions/build-and-push-docker-images
- name: Build and push full image
uses: docker/build-push-action@v6
with:
context: .
push: true
tags: |
infiniflow/ragflow:${{ env.RELEASE_TAG }}
infiniflow/ragflow:latest-full
file: Dockerfile
platforms: linux/amd64
# https://github.com/marketplace/actions/build-and-push-docker-images
- name: Build and push slim image
uses: docker/build-push-action@v6
with:
context: .
push: true
tags: |
infiniflow/ragflow:${{ env.RELEASE_TAG }}-slim
infiniflow/ragflow:latest-slim
file: Dockerfile
build-args: LIGHTEN=1
platforms: linux/amd64
- name: Build ragflow-sdk
if: startsWith(github.ref, 'refs/tags/v')
run: |
cd sdk/python && uv build
twine upload sdk/python/dist/* -u __token__ -p ${{ secrets.PYPI_API_TOKEN }}
cd sdk/python && \
uv build
- name: Build and push ragflow-cli
- name: Publish package distributions to PyPI
if: startsWith(github.ref, 'refs/tags/v')
run: |
cd admin/client && uv build
twine upload admin/client/dist/* -u __token__ -p ${{ secrets.PYPI_API_TOKEN }}
- name: Build and push image
run: |
echo ${{ secrets.DOCKERHUB_TOKEN }} | sudo docker login --username infiniflow --password-stdin
sudo docker build --build-arg NEED_MIRROR=1 -t infiniflow/ragflow:${RELEASE_TAG} -f Dockerfile .
sudo docker tag infiniflow/ragflow:${RELEASE_TAG} infiniflow/ragflow:latest
sudo docker push infiniflow/ragflow:${RELEASE_TAG}
sudo docker push infiniflow/ragflow:latest
uses: pypa/gh-action-pypi-publish@release/v1
with:
packages-dir: sdk/python/dist/
password: ${{ secrets.PYPI_API_TOKEN }}
verbose: true

View File

@ -10,7 +10,7 @@ on:
- '*.md'
- '*.mdx'
pull_request:
types: [ labeled, synchronize, reopened ]
types: [ opened, synchronize, reopened, labeled ]
paths-ignore:
- 'docs/**'
- '*.md'
@ -29,15 +29,17 @@ jobs:
# https://docs.github.com/en/actions/using-jobs/using-conditions-to-control-job-execution
# https://github.com/orgs/community/discussions/26261
if: ${{ github.event_name != 'pull_request' || contains(github.event.pull_request.labels.*.name, 'ci') }}
runs-on: [ "self-hosted", "ragflow-test" ]
runs-on: [ "self-hosted", "debug" ]
steps:
# https://github.com/hmarr/debug-action
#- uses: hmarr/debug-action@v2
- name: Ensure workspace ownership
- name: Show who triggered this workflow
run: |
echo "Workflow triggered by ${{ github.event_name }}"
echo "chown -R $USER $GITHUB_WORKSPACE" && sudo chown -R $USER $GITHUB_WORKSPACE
- name: Ensure workspace ownership
run: echo "chown -R $USER $GITHUB_WORKSPACE" && sudo chown -R $USER $GITHUB_WORKSPACE
# https://github.com/actions/checkout/issues/1781
- name: Check out code
@ -46,44 +48,6 @@ 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" && "$GITHUB_EVENT_NAME" != "schedule" ]]; then
HEAD=$(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}" > ${PR_SHA_FP}
fi
# https://github.com/astral-sh/ruff-action
- name: Static check with Ruff
uses: astral-sh/ruff-action@v3
@ -91,140 +55,122 @@ jobs:
version: ">=0.11.x"
args: "check"
- name: Build ragflow:nightly
- name: Build ragflow:nightly-slim
run: |
RUNNER_WORKSPACE_PREFIX=${RUNNER_WORKSPACE_PREFIX:-$HOME}
RAGFLOW_IMAGE=infiniflow/ragflow:${GITHUB_RUN_ID}
echo "RAGFLOW_IMAGE=${RAGFLOW_IMAGE}" >> $GITHUB_ENV
sudo docker pull ubuntu:22.04
sudo DOCKER_BUILDKIT=1 docker build --build-arg NEED_MIRROR=1 -f Dockerfile -t ${RAGFLOW_IMAGE} .
if [[ "$GITHUB_EVENT_NAME" == "schedule" ]]; then
export HTTP_API_TEST_LEVEL=p3
else
export HTTP_API_TEST_LEVEL=p2
fi
echo "HTTP_API_TEST_LEVEL=${HTTP_API_TEST_LEVEL}" >> $GITHUB_ENV
echo "RAGFLOW_CONTAINER=${GITHUB_RUN_ID}-ragflow-cpu-1" >> $GITHUB_ENV
sudo docker build --progress=plain --build-arg LIGHTEN=1 --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
- name: Build ragflow:nightly
run: |
sudo docker build --progress=plain --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:nightly .
- name: Start ragflow:nightly-slim
run: |
sudo docker compose -f docker/docker-compose.yml down --volumes --remove-orphans
echo -e "\nRAGFLOW_IMAGE=infiniflow/ragflow:nightly-slim" >> docker/.env
sudo docker compose -f docker/docker-compose.yml up -d
- name: Stop ragflow:nightly-slim
if: always() # always run this step even if previous steps failed
run: |
sudo docker compose -f docker/docker-compose.yml down -v
- name: Start ragflow:nightly
run: |
# Determine runner number (default to 1 if not found)
RUNNER_NUM=$(sudo docker inspect $(hostname) --format '{{index .Config.Labels "com.docker.compose.container-number"}}' 2>/dev/null || true)
RUNNER_NUM=${RUNNER_NUM:-1}
# Compute port numbers using bash arithmetic
ES_PORT=$((1200 + RUNNER_NUM * 10))
OS_PORT=$((1201 + RUNNER_NUM * 10))
INFINITY_THRIFT_PORT=$((23817 + RUNNER_NUM * 10))
INFINITY_HTTP_PORT=$((23820 + RUNNER_NUM * 10))
INFINITY_PSQL_PORT=$((5432 + RUNNER_NUM * 10))
MYSQL_PORT=$((5455 + RUNNER_NUM * 10))
MINIO_PORT=$((9000 + RUNNER_NUM * 10))
MINIO_CONSOLE_PORT=$((9001 + RUNNER_NUM * 10))
REDIS_PORT=$((6379 + RUNNER_NUM * 10))
TEI_PORT=$((6380 + RUNNER_NUM * 10))
KIBANA_PORT=$((6601 + RUNNER_NUM * 10))
SVR_HTTP_PORT=$((9380 + RUNNER_NUM * 10))
ADMIN_SVR_HTTP_PORT=$((9381 + RUNNER_NUM * 10))
SVR_MCP_PORT=$((9382 + RUNNER_NUM * 10))
SANDBOX_EXECUTOR_MANAGER_PORT=$((9385 + RUNNER_NUM * 10))
SVR_WEB_HTTP_PORT=$((80 + RUNNER_NUM * 10))
SVR_WEB_HTTPS_PORT=$((443 + RUNNER_NUM * 10))
# Persist computed ports into docker/.env so docker-compose uses the correct host bindings
echo "" >> docker/.env
echo -e "ES_PORT=${ES_PORT}" >> docker/.env
echo -e "OS_PORT=${OS_PORT}" >> docker/.env
echo -e "INFINITY_THRIFT_PORT=${INFINITY_THRIFT_PORT}" >> docker/.env
echo -e "INFINITY_HTTP_PORT=${INFINITY_HTTP_PORT}" >> docker/.env
echo -e "INFINITY_PSQL_PORT=${INFINITY_PSQL_PORT}" >> docker/.env
echo -e "MYSQL_PORT=${MYSQL_PORT}" >> docker/.env
echo -e "MINIO_PORT=${MINIO_PORT}" >> docker/.env
echo -e "MINIO_CONSOLE_PORT=${MINIO_CONSOLE_PORT}" >> docker/.env
echo -e "REDIS_PORT=${REDIS_PORT}" >> docker/.env
echo -e "TEI_PORT=${TEI_PORT}" >> docker/.env
echo -e "KIBANA_PORT=${KIBANA_PORT}" >> docker/.env
echo -e "SVR_HTTP_PORT=${SVR_HTTP_PORT}" >> docker/.env
echo -e "ADMIN_SVR_HTTP_PORT=${ADMIN_SVR_HTTP_PORT}" >> docker/.env
echo -e "SVR_MCP_PORT=${SVR_MCP_PORT}" >> docker/.env
echo -e "SANDBOX_EXECUTOR_MANAGER_PORT=${SANDBOX_EXECUTOR_MANAGER_PORT}" >> docker/.env
echo -e "SVR_WEB_HTTP_PORT=${SVR_WEB_HTTP_PORT}" >> docker/.env
echo -e "SVR_WEB_HTTPS_PORT=${SVR_WEB_HTTPS_PORT}" >> docker/.env
echo -e "COMPOSE_PROFILES=\${COMPOSE_PROFILES},tei-cpu" >> docker/.env
echo -e "TEI_MODEL=BAAI/bge-small-en-v1.5" >> docker/.env
echo -e "RAGFLOW_IMAGE=${RAGFLOW_IMAGE}" >> docker/.env
echo "HOST_ADDRESS=http://host.docker.internal:${SVR_HTTP_PORT}" >> $GITHUB_ENV
sudo docker compose -f docker/docker-compose.yml -p ${GITHUB_RUN_ID} up -d
uv sync --python 3.10 --only-group test --no-default-groups --frozen && uv pip install sdk/python
echo -e "\nRAGFLOW_IMAGE=infiniflow/ragflow:nightly" >> docker/.env
sudo docker compose -f docker/docker-compose.yml up -d
- name: Run sdk tests against Elasticsearch
run: |
export http_proxy=""; export https_proxy=""; export no_proxy=""; export HTTP_PROXY=""; export HTTPS_PROXY=""; export NO_PROXY=""
until sudo docker exec ${RAGFLOW_CONTAINER} curl -s --connect-timeout 5 ${HOST_ADDRESS} > /dev/null; do
export HOST_ADDRESS=http://host.docker.internal:9380
until sudo docker exec ragflow-server curl -s --connect-timeout 5 ${HOST_ADDRESS} > /dev/null; do
echo "Waiting for service to be available..."
sleep 5
done
source .venv/bin/activate && pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_sdk_api
if [[ $GITHUB_EVENT_NAME == 'schedule' ]]; then
export HTTP_API_TEST_LEVEL=p3
else
export HTTP_API_TEST_LEVEL=p2
fi
UV_LINK_MODE=copy uv sync --python 3.10 --only-group test --no-default-groups --frozen && uv pip install sdk/python && uv run --only-group test --no-default-groups pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_sdk_api
- name: Run frontend api tests against Elasticsearch
run: |
export http_proxy=""; export https_proxy=""; export no_proxy=""; export HTTP_PROXY=""; export HTTPS_PROXY=""; export NO_PROXY=""
until sudo docker exec ${RAGFLOW_CONTAINER} curl -s --connect-timeout 5 ${HOST_ADDRESS} > /dev/null; do
export HOST_ADDRESS=http://host.docker.internal:9380
until sudo docker exec ragflow-server curl -s --connect-timeout 5 ${HOST_ADDRESS} > /dev/null; do
echo "Waiting for service to be available..."
sleep 5
done
source .venv/bin/activate && pytest -s --tb=short sdk/python/test/test_frontend_api/get_email.py sdk/python/test/test_frontend_api/test_dataset.py
cd sdk/python && UV_LINK_MODE=copy uv sync --python 3.10 --group test --frozen && source .venv/bin/activate && cd test/test_frontend_api && pytest -s --tb=short get_email.py test_dataset.py
- name: Run http api tests against Elasticsearch
run: |
export http_proxy=""; export https_proxy=""; export no_proxy=""; export HTTP_PROXY=""; export HTTPS_PROXY=""; export NO_PROXY=""
until sudo docker exec ${RAGFLOW_CONTAINER} curl -s --connect-timeout 5 ${HOST_ADDRESS} > /dev/null; do
export HOST_ADDRESS=http://host.docker.internal:9380
until sudo docker exec ragflow-server curl -s --connect-timeout 5 ${HOST_ADDRESS} > /dev/null; do
echo "Waiting for service to be available..."
sleep 5
done
source .venv/bin/activate && pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_http_api
if [[ $GITHUB_EVENT_NAME == 'schedule' ]]; then
export HTTP_API_TEST_LEVEL=p3
else
export HTTP_API_TEST_LEVEL=p2
fi
UV_LINK_MODE=copy uv sync --python 3.10 --only-group test --no-default-groups --frozen && uv run --only-group test --no-default-groups pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_http_api
- name: Stop ragflow:nightly
if: always() # always run this step even if previous steps failed
run: |
sudo docker compose -f docker/docker-compose.yml -p ${GITHUB_RUN_ID} down -v
sudo docker compose -f docker/docker-compose.yml down -v
- name: Start ragflow:nightly
run: |
sed -i '1i DOC_ENGINE=infinity' docker/.env
sudo docker compose -f docker/docker-compose.yml -p ${GITHUB_RUN_ID} up -d
sudo DOC_ENGINE=infinity docker compose -f docker/docker-compose.yml up -d
- name: Run sdk tests against Infinity
run: |
export http_proxy=""; export https_proxy=""; export no_proxy=""; export HTTP_PROXY=""; export HTTPS_PROXY=""; export NO_PROXY=""
until sudo docker exec ${RAGFLOW_CONTAINER} curl -s --connect-timeout 5 ${HOST_ADDRESS} > /dev/null; do
export HOST_ADDRESS=http://host.docker.internal:9380
until sudo docker exec ragflow-server curl -s --connect-timeout 5 ${HOST_ADDRESS} > /dev/null; do
echo "Waiting for service to be available..."
sleep 5
done
source .venv/bin/activate && DOC_ENGINE=infinity pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_sdk_api
if [[ $GITHUB_EVENT_NAME == 'schedule' ]]; then
export HTTP_API_TEST_LEVEL=p3
else
export HTTP_API_TEST_LEVEL=p2
fi
UV_LINK_MODE=copy uv sync --python 3.10 --only-group test --no-default-groups --frozen && uv pip install sdk/python && DOC_ENGINE=infinity uv run --only-group test --no-default-groups pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_sdk_api
- name: Run frontend api tests against Infinity
run: |
export http_proxy=""; export https_proxy=""; export no_proxy=""; export HTTP_PROXY=""; export HTTPS_PROXY=""; export NO_PROXY=""
until sudo docker exec ${RAGFLOW_CONTAINER} curl -s --connect-timeout 5 ${HOST_ADDRESS} > /dev/null; do
export HOST_ADDRESS=http://host.docker.internal:9380
until sudo docker exec ragflow-server curl -s --connect-timeout 5 ${HOST_ADDRESS} > /dev/null; do
echo "Waiting for service to be available..."
sleep 5
done
source .venv/bin/activate && DOC_ENGINE=infinity pytest -s --tb=short sdk/python/test/test_frontend_api/get_email.py sdk/python/test/test_frontend_api/test_dataset.py
cd sdk/python && UV_LINK_MODE=copy uv sync --python 3.10 --group test --frozen && source .venv/bin/activate && cd test/test_frontend_api && pytest -s --tb=short get_email.py test_dataset.py
- name: Run http api tests against Infinity
run: |
export http_proxy=""; export https_proxy=""; export no_proxy=""; export HTTP_PROXY=""; export HTTPS_PROXY=""; export NO_PROXY=""
until sudo docker exec ${RAGFLOW_CONTAINER} curl -s --connect-timeout 5 ${HOST_ADDRESS} > /dev/null; do
export HOST_ADDRESS=http://host.docker.internal:9380
until sudo docker exec ragflow-server curl -s --connect-timeout 5 ${HOST_ADDRESS} > /dev/null; do
echo "Waiting for service to be available..."
sleep 5
done
source .venv/bin/activate && DOC_ENGINE=infinity pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_http_api
if [[ $GITHUB_EVENT_NAME == 'schedule' ]]; then
export HTTP_API_TEST_LEVEL=p3
else
export HTTP_API_TEST_LEVEL=p2
fi
UV_LINK_MODE=copy uv sync --python 3.10 --only-group test --no-default-groups --frozen && DOC_ENGINE=infinity uv run --only-group test --no-default-groups pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_http_api
- name: Stop ragflow:nightly
if: always() # always run this step even if previous steps failed
run: |
sudo docker compose -f docker/docker-compose.yml -p ${GITHUB_RUN_ID} down -v
sudo docker rmi -f ${RAGFLOW_IMAGE}
sudo DOC_ENGINE=infinity docker compose -f docker/docker-compose.yml down -v

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

@ -4,6 +4,8 @@ USER root
SHELL ["/bin/bash", "-c"]
ARG NEED_MIRROR=0
ARG LIGHTEN=0
ENV LIGHTEN=${LIGHTEN}
WORKDIR /ragflow
@ -15,6 +17,13 @@ RUN --mount=type=bind,from=infiniflow/ragflow_deps:latest,source=/huggingface.co
/huggingface.co/InfiniFlow/text_concat_xgb_v1.0 \
/huggingface.co/InfiniFlow/deepdoc \
| tar -xf - --strip-components=3 -C /ragflow/rag/res/deepdoc
RUN --mount=type=bind,from=infiniflow/ragflow_deps:latest,source=/huggingface.co,target=/huggingface.co \
if [ "$LIGHTEN" != "1" ]; then \
(tar -cf - \
/huggingface.co/BAAI/bge-large-zh-v1.5 \
/huggingface.co/maidalun1020/bce-embedding-base_v1 \
| tar -xf - --strip-components=2 -C /root/.ragflow) \
fi
# https://github.com/chrismattmann/tika-python
# This is the only way to run python-tika without internet access. Without this set, the default is to check the tika version and pull latest every time from Apache.
@ -54,11 +63,11 @@ RUN --mount=type=cache,id=ragflow_apt,target=/var/cache/apt,sharing=locked \
apt install -y ghostscript
RUN if [ "$NEED_MIRROR" == "1" ]; then \
pip3 config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple && \
pip3 config set global.trusted-host pypi.tuna.tsinghua.edu.cn; \
pip3 config set global.index-url https://mirrors.aliyun.com/pypi/simple && \
pip3 config set global.trusted-host mirrors.aliyun.com; \
mkdir -p /etc/uv && \
echo "[[index]]" > /etc/uv/uv.toml && \
echo 'url = "https://pypi.tuna.tsinghua.edu.cn/simple"' >> /etc/uv/uv.toml && \
echo 'url = "https://mirrors.aliyun.com/pypi/simple"' >> /etc/uv/uv.toml && \
echo "default = true" >> /etc/uv/uv.toml; \
fi; \
pipx install uv
@ -142,11 +151,15 @@ COPY pyproject.toml uv.lock ./
# uv records index url into uv.lock but doesn't failover among multiple indexes
RUN --mount=type=cache,id=ragflow_uv,target=/root/.cache/uv,sharing=locked \
if [ "$NEED_MIRROR" == "1" ]; then \
sed -i 's|pypi.org|pypi.tuna.tsinghua.edu.cn|g' uv.lock; \
sed -i 's|pypi.org|mirrors.aliyun.com/pypi|g' uv.lock; \
else \
sed -i 's|pypi.tuna.tsinghua.edu.cn|pypi.org|g' uv.lock; \
sed -i 's|mirrors.aliyun.com/pypi|pypi.org|g' uv.lock; \
fi; \
uv sync --python 3.10 --frozen
if [ "$LIGHTEN" == "1" ]; then \
uv sync --python 3.10 --frozen; \
else \
uv sync --python 3.10 --frozen --all-extras; \
fi
COPY web web
COPY docs docs
@ -156,7 +169,11 @@ RUN --mount=type=cache,id=ragflow_npm,target=/root/.npm,sharing=locked \
COPY .git /ragflow/.git
RUN version_info=$(git describe --tags --match=v* --first-parent --always); \
version_info="$version_info"; \
if [ "$LIGHTEN" == "1" ]; then \
version_info="$version_info slim"; \
else \
version_info="$version_info full"; \
fi; \
echo "RAGFlow version: $version_info"; \
echo $version_info > /ragflow/VERSION
@ -174,7 +191,6 @@ ENV PATH="${VIRTUAL_ENV}/bin:${PATH}"
ENV PYTHONPATH=/ragflow/
COPY web web
COPY admin admin
COPY api api
COPY conf conf
COPY deepdoc deepdoc
@ -185,7 +201,6 @@ COPY agentic_reasoning agentic_reasoning
COPY pyproject.toml uv.lock ./
COPY mcp mcp
COPY plugin plugin
COPY common common
COPY docker/service_conf.yaml.template ./conf/service_conf.yaml.template
COPY docker/entrypoint.sh ./

View File

@ -1,14 +0,0 @@
FROM ghcr.io/huggingface/text-embeddings-inference:cpu-1.8
# uv tool install huggingface_hub
# hf download --local-dir tei_data/BAAI/bge-small-en-v1.5 BAAI/bge-small-en-v1.5
# hf download --local-dir tei_data/BAAI/bge-m3 BAAI/bge-m3
# hf download --local-dir tei_data/Qwen/Qwen3-Embedding-0.6B Qwen/Qwen3-Embedding-0.6B
COPY tei_data /data
# curl -X POST http://localhost:6380/embed -H "Content-Type: application/json" -d '{"inputs": "Hello, world! This is a test sentence."}'
# curl -X POST http://tei:80/embed -H "Content-Type: application/json" -d '{"inputs": "Hello, world! This is a test sentence."}'
# [[-0.058816575,0.019564206,0.026697718,...]]
# curl -X POST http://localhost:6380/v1/embeddings -H "Content-Type: application/json" -d '{"input": "Hello, world! This is a test sentence."}'
# {"object":"list","data":[{"object":"embedding","embedding":[-0.058816575,0.019564206,...],"index":0}],"model":"BAAI/bge-small-en-v1.5","usage":{"prompt_tokens":12,"total_tokens":12}}

View File

@ -1,6 +1,6 @@
<div align="center">
<a href="https://demo.ragflow.io/">
<img src="web/src/assets/logo-with-text.svg" width="520" alt="ragflow logo">
<img src="web/src/assets/logo-with-text.png" 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:v0.21.1">
<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">
</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">
@ -84,9 +84,8 @@ Try our demo at [https://demo.ragflow.io](https://demo.ragflow.io).
## 🔥 Latest Updates
- 2025-10-23 Supports MinerU & Docling as document parsing methods.
- 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.
@ -136,7 +135,7 @@ releases! 🌟
## 🔎 System Architecture
<div align="center" style="margin-top:20px;margin-bottom:20px;">
<img src="https://github.com/user-attachments/assets/31b0dd6f-ca4f-445a-9457-70cb44a381b2" width="1000"/>
<img src="https://github.com/infiniflow/ragflow/assets/12318111/d6ac5664-c237-4200-a7c2-a4a00691b485" width="1000"/>
</div>
## 🎬 Get Started
@ -188,7 +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 `v0.21.1-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.
> 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`.
```bash
$ cd ragflow/docker
@ -196,23 +195,20 @@ releases! 🌟
$ docker compose -f docker-compose.yml up -d
# To use GPU to accelerate embedding and DeepDoc tasks:
# sed -i '1i DEVICE=gpu' .env
# docker compose -f docker-compose.yml up -d
# docker compose -f docker-compose-gpu.yml up -d
```
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
|-------------------|-----------------|-----------------------|--------------------------|
| v0.21.1 | &approx;9 | ✔️ | Stable release |
| v0.21.1-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;2 | | _Unstable_ nightly build |
> Note: Starting with `v0.22.0`, we ship only the slim edition and no longer append the **-slim** suffix to the image tag.
| v0.20.5 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.20.5-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |
4. Check the server status after having the server up and running:
```bash
$ docker logs -f docker-ragflow-cpu-1
$ docker logs -f ragflow-server
```
_The following output confirms a successful launch of the system:_
@ -290,6 +286,16 @@ RAGFlow uses Elasticsearch by default for storing full text and vectors. To swit
This image is approximately 2 GB in size and relies on external LLM and embedding services.
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
docker build --platform linux/amd64 --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
```
## 🔧 Build a Docker image including embedding models
This image is approximately 9 GB in size. As it includes embedding models, it relies on external LLM services only.
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
@ -309,7 +315,7 @@ docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
uv sync --python 3.10 # install RAGFlow dependent python modules
uv sync --python 3.10 --all-extras # install RAGFlow dependent python modules
uv run download_deps.py
pre-commit install
```
@ -335,13 +341,11 @@ 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
# OpenSUSE
sudo zypper install jemalloc
# macOS
# mac
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.svg" width="520" alt="Logo ragflow">
<img src="web/src/assets/logo-with-text.png" 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:v0.21.1">
<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">
</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">
@ -80,9 +80,8 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
## 🔥 Pembaruan Terbaru
- 2025-10-23 Mendukung MinerU & Docling sebagai metode penguraian dokumen.
- 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.
@ -130,7 +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/user-attachments/assets/31b0dd6f-ca4f-445a-9457-70cb44a381b2" width="1000"/>
<img src="https://github.com/infiniflow/ragflow/assets/12318111/d6ac5664-c237-4200-a7c2-a4a00691b485" width="1000"/>
</div>
## 🎬 Mulai
@ -182,30 +181,28 @@ 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 v0.21.1 dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.21.1, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server.
> 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.
```bash
$ cd ragflow/docker
# Use CPU for embedding and DeepDoc tasks:
$ docker compose -f docker-compose.yml up -d
```bash
$ cd ragflow/docker
# Use CPU for embedding and DeepDoc tasks:
$ docker compose -f docker-compose.yml up -d
# To use GPU to accelerate embedding and DeepDoc tasks:
# sed -i '1i DEVICE=gpu' .env
# docker compose -f docker-compose.yml up -d
```
# To use GPU to accelerate embedding and DeepDoc tasks:
# docker compose -f docker-compose-gpu.yml up -d
```
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.21.1 | &approx;9 | ✔️ | Stable release |
| v0.21.1-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;2 | | _Unstable_ nightly build |
> Catatan: Mulai dari `v0.22.0`, kami hanya menyediakan edisi slim dan tidak lagi menambahkan akhiran **-slim** pada tag image.
| v0.20.5 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.20.5-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |
1. Periksa status server setelah server aktif dan berjalan:
```bash
$ docker logs -f docker-ragflow-cpu-1
$ docker logs -f ragflow-server
```
_Output berikut menandakan bahwa sistem berhasil diluncurkan:_
@ -256,6 +253,16 @@ Pembaruan konfigurasi ini memerlukan reboot semua kontainer agar efektif:
Image ini berukuran sekitar 2 GB dan bergantung pada aplikasi LLM eksternal dan embedding.
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
docker build --platform linux/amd64 --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
```
## 🔧 Membangun Docker Image Termasuk Model Embedding
Image ini berukuran sekitar 9 GB. Karena sudah termasuk model embedding, ia hanya bergantung pada aplikasi LLM eksternal.
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
@ -275,7 +282,7 @@ docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
uv sync --python 3.10 # install RAGFlow dependent python modules
uv sync --python 3.10 --all-extras # install RAGFlow dependent python modules
uv run download_deps.py
pre-commit install
```

View File

@ -1,6 +1,6 @@
<div align="center">
<a href="https://demo.ragflow.io/">
<img src="web/src/assets/logo-with-text.svg" width="350" alt="ragflow logo">
<img src="web/src/assets/logo-with-text.png" 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:v0.21.1">
<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">
</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">
@ -60,9 +60,8 @@
## 🔥 最新情報
- 2025-10-23 ドキュメント解析方法として MinerU と Docling をサポートします。
- 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。
@ -110,7 +109,7 @@
## 🔎 システム構成
<div align="center" style="margin-top:20px;margin-bottom:20px;">
<img src="https://github.com/user-attachments/assets/31b0dd6f-ca4f-445a-9457-70cb44a381b2" width="1000"/>
<img src="https://github.com/infiniflow/ragflow/assets/12318111/d6ac5664-c237-4200-a7c2-a4a00691b485" width="1000"/>
</div>
## 🎬 初期設定
@ -161,7 +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 v0.21.1 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 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。
> 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。
```bash
$ cd ragflow/docker
@ -169,22 +168,20 @@
$ docker compose -f docker-compose.yml up -d
# To use GPU to accelerate embedding and DeepDoc tasks:
# sed -i '1i DEVICE=gpu' .env
# docker compose -f docker-compose.yml up -d
# docker compose -f docker-compose-gpu.yml up -d
```
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.21.1 | &approx;9 | ✔️ | Stable release |
| v0.21.1-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;2 | | _Unstable_ nightly build |
> 注意:`v0.22.0` 以降、当プロジェクトでは slim エディションのみを提供し、イメージタグに **-slim** サフィックスを付けなくなりました。
| v0.20.5 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.20.5-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |
1. サーバーを立ち上げた後、サーバーの状態を確認する:
```bash
$ docker logs -f docker-ragflow-cpu-1
$ docker logs -f ragflow-server
```
_以下の出力は、システムが正常に起動したことを確認するものです:_
@ -251,6 +248,16 @@ RAGFlow はデフォルトで Elasticsearch を使用して全文とベクトル
この Docker イメージのサイズは約 1GB で、外部の大モデルと埋め込みサービスに依存しています。
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
docker build --platform linux/amd64 --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
```
## 🔧 ソースコードをコンパイルした Docker イメージ(埋め込みモデルを含む)
この Docker のサイズは約 9GB で、埋め込みモデルを含むため、外部の大モデルサービスのみが必要です。
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
@ -270,7 +277,7 @@ docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
uv sync --python 3.10 # install RAGFlow dependent python modules
uv sync --python 3.10 --all-extras # install RAGFlow dependent python modules
uv run download_deps.py
pre-commit install
```

View File

@ -1,6 +1,6 @@
<div align="center">
<a href="https://demo.ragflow.io/">
<img src="web/src/assets/logo-with-text.svg" width="520" alt="ragflow logo">
<img src="web/src/assets/logo-with-text.png" 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:v0.21.1">
<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">
</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">
@ -60,9 +60,8 @@
## 🔥 업데이트
- 2025-10-23 문서 파싱 방법으로 MinerU 및 Docling을 지원합니다.
- 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.
@ -110,7 +109,7 @@
## 🔎 시스템 아키텍처
<div align="center" style="margin-top:20px;margin-bottom:20px;">
<img src="https://github.com/user-attachments/assets/31b0dd6f-ca4f-445a-9457-70cb44a381b2" width="1000"/>
<img src="https://github.com/infiniflow/ragflow/assets/12318111/d6ac5664-c237-4200-a7c2-a4a00691b485" width="1000"/>
</div>
## 🎬 시작하기
@ -161,7 +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 v0.21.1 버전을 다운로드합니다. 다양한 RAGFlow 버전에 대한 설명은 다음 표를 참조하십시오. v0.21.1과 다른 RAGFlow 버전을 다운로드하려면, docker/.env 파일에서 RAGFLOW_IMAGE 변수를 적절히 업데이트한 후 docker compose를 사용하여 서버를 시작하십시오.
> 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.
```bash
$ cd ragflow/docker
@ -169,22 +168,20 @@
$ docker compose -f docker-compose.yml up -d
# To use GPU to accelerate embedding and DeepDoc tasks:
# sed -i '1i DEVICE=gpu' .env
# docker compose -f docker-compose.yml up -d
# docker compose -f docker-compose-gpu.yml up -d
```
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.21.1 | &approx;9 | ✔️ | Stable release |
| v0.21.1-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;2 | | _Unstable_ nightly build |
> 참고: `v0.22.0`부터는 slim 에디션만 배포하며 이미지 태그에 **-slim** 접미사를 더 이상 붙이지 않습니다.
| v0.20.5 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.20.5-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |
1. 서버가 시작된 후 서버 상태를 확인하세요:
```bash
$ docker logs -f docker-ragflow-cpu-1
$ docker logs -f ragflow-server
```
_다음 출력 결과로 시스템이 성공적으로 시작되었음을 확인합니다:_
@ -250,6 +247,16 @@ RAGFlow 는 기본적으로 Elasticsearch 를 사용하여 전체 텍스트 및
이 Docker 이미지의 크기는 약 1GB이며, 외부 대형 모델과 임베딩 서비스에 의존합니다.
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
docker build --platform linux/amd64 --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
```
## 🔧 소스 코드로 Docker 이미지를 컴파일합니다(임베딩 모델 포함)
이 Docker의 크기는 약 9GB이며, 이미 임베딩 모델을 포함하고 있으므로 외부 대형 모델 서비스에만 의존하면 됩니다.
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
@ -269,7 +276,7 @@ docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
uv sync --python 3.10 # install RAGFlow dependent python modules
uv sync --python 3.10 --all-extras # install RAGFlow dependent python modules
uv run download_deps.py
pre-commit install
```

View File

@ -1,6 +1,6 @@
<div align="center">
<a href="https://demo.ragflow.io/">
<img src="web/src/assets/logo-with-text.svg" width="520" alt="ragflow logo">
<img src="web/src/assets/logo-with-text.png" 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:v0.21.1">
<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">
</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">
@ -80,9 +80,8 @@ Experimente nossa demo em [https://demo.ragflow.io](https://demo.ragflow.io).
## 🔥 Últimas Atualizações
- 23-10-2025 Suporta MinerU e Docling como métodos de análise de documentos.
- 15-10-2025 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.
@ -130,7 +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/user-attachments/assets/31b0dd6f-ca4f-445a-9457-70cb44a381b2" width="1000"/>
<img src="https://github.com/infiniflow/ragflow/assets/12318111/d6ac5664-c237-4200-a7c2-a4a00691b485" width="1000"/>
</div>
## 🎬 Primeiros Passos
@ -181,30 +180,28 @@ 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 `v0.21.1` 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`, atualize a variável `RAGFLOW_IMAGE` conforme necessário no **docker/.env** antes de usar `docker compose` para iniciar o servidor.
> 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`.
```bash
$ cd ragflow/docker
# Use CPU for embedding and DeepDoc tasks:
$ docker compose -f docker-compose.yml up -d
```bash
$ cd ragflow/docker
# Use CPU for embedding and DeepDoc tasks:
$ docker compose -f docker-compose.yml up -d
# To use GPU to accelerate embedding and DeepDoc tasks:
# sed -i '1i DEVICE=gpu' .env
# docker compose -f docker-compose.yml up -d
```
# To use GPU to accelerate embedding and DeepDoc tasks:
# docker compose -f docker-compose-gpu.yml up -d
```
| Tag da imagem RAGFlow | Tamanho da imagem (GB) | Possui modelos de incorporação? | Estável? |
| --------------------- | ---------------------- | ------------------------------- | --------------------------- |
| v0.21.1 | &approx;9 | ✔️ | Lançamento estável |
| v0.21.1-slim | &approx;2 | ❌ | Lançamento estável |
| nightly | &approx;2 | | Construção noturna instável |
> Observação: A partir da `v0.22.0`, distribuímos apenas a edição slim e não adicionamos mais o sufixo **-slim** às tags das imagens.
| 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 |
| nightly | ~9 | :heavy_check_mark: | _Instável_ build noturno |
| nightly-slim | ~2 | ❌ | _Instável_ build noturno |
4. Verifique o status do servidor após tê-lo iniciado:
```bash
$ docker logs -f docker-ragflow-cpu-1
$ docker logs -f ragflow-server
```
_O seguinte resultado confirma o lançamento bem-sucedido do sistema:_
@ -274,6 +271,16 @@ O RAGFlow usa o Elasticsearch por padrão para armazenar texto completo e vetore
Esta imagem tem cerca de 2 GB de tamanho e depende de serviços externos de LLM e incorporação.
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
docker build --platform linux/amd64 --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
```
## 🔧 Criar uma imagem Docker incluindo modelos de incorporação
Esta imagem tem cerca de 9 GB de tamanho. Como inclui modelos de incorporação, depende apenas de serviços externos de LLM.
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
@ -293,7 +300,7 @@ docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
uv sync --python 3.10 # instala os módulos Python dependentes do RAGFlow
uv sync --python 3.10 --all-extras # instala os módulos Python dependentes do RAGFlow
uv run download_deps.py
pre-commit install
```

View File

@ -1,6 +1,6 @@
<div align="center">
<a href="https://demo.ragflow.io/">
<img src="web/src/assets/logo-with-text.svg" width="350" alt="ragflow logo">
<img src="web/src/assets/logo-with-text.png" 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:v0.21.1">
<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">
</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">
@ -83,9 +83,8 @@
## 🔥 近期更新
- 2025-10-23 支援 MinerU 和 Docling 作為文件解析方法。
- 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。
@ -133,7 +132,7 @@
## 🔎 系統架構
<div align="center" style="margin-top:20px;margin-bottom:20px;">
<img src="https://github.com/user-attachments/assets/31b0dd6f-ca4f-445a-9457-70cb44a381b2" width="1000"/>
<img src="https://github.com/infiniflow/ragflow/assets/12318111/d6ac5664-c237-4200-a7c2-a4a00691b485" width="1000"/>
</div>
## 🎬 快速開始
@ -184,7 +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 `v0.21.1`。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` 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。
> 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。
```bash
$ cd ragflow/docker
@ -192,17 +191,15 @@
$ docker compose -f docker-compose.yml up -d
# To use GPU to accelerate embedding and DeepDoc tasks:
# sed -i '1i DEVICE=gpu' .env
# docker compose -f docker-compose.yml up -d
# docker compose -f docker-compose-gpu.yml up -d
```
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.21.1 | &approx;9 | ✔️ | Stable release |
| v0.21.1-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;2 | | _Unstable_ nightly build |
> 注意:自 `v0.22.0` 起,我們僅發佈 slim 版本,並且不再在映像標籤後附加 **-slim** 後綴。
| v0.20.5 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.20.5-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |
> [!TIP]
> 如果你遇到 Docker 映像檔拉不下來的問題,可以在 **docker/.env** 檔案內根據變數 `RAGFLOW_IMAGE` 的註解提示選擇華為雲或阿里雲的對應映像。
@ -213,7 +210,7 @@
4. 伺服器啟動成功後再次確認伺服器狀態:
```bash
$ docker logs -f docker-ragflow-cpu-1
$ docker logs -f ragflow-server
```
_出現以下介面提示說明伺服器啟動成功_
@ -289,7 +286,17 @@ RAGFlow 預設使用 Elasticsearch 儲存文字和向量資料. 如果要切換
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly .
docker build --platform linux/amd64 --build-arg LIGHTEN=1 --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
```
## 🔧 原始碼編譯 Docker 映像(包含 embedding 模型)
本 Docker 大小約 9 GB 左右。由於已包含 embedding 模型,所以只需依賴外部的大模型服務即可。
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
docker build --platform linux/amd64 --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:nightly .
```
## 🔨 以原始碼啟動服務
@ -306,7 +313,7 @@ docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
uv sync --python 3.10 # install RAGFlow dependent python modules
uv sync --python 3.10 --all-extras # install RAGFlow dependent python modules
uv run download_deps.py
pre-commit install
```

View File

@ -1,6 +1,6 @@
<div align="center">
<a href="https://demo.ragflow.io/">
<img src="web/src/assets/logo-with-text.svg" width="350" alt="ragflow logo">
<img src="web/src/assets/logo-with-text.png" 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:v0.21.1">
<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">
</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">
@ -83,9 +83,8 @@
## 🔥 近期更新
- 2025-10-23 支持 MinerU 和 Docling 作为文档解析方法。
- 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。
- 2025-08-08 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.
- 2025-08-01 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。
@ -133,7 +132,7 @@
## 🔎 系统架构
<div align="center" style="margin-top:20px;margin-bottom:20px;">
<img src="https://github.com/user-attachments/assets/31b0dd6f-ca4f-445a-9457-70cb44a381b2" width="1000"/>
<img src="https://github.com/infiniflow/ragflow/assets/12318111/d6ac5664-c237-4200-a7c2-a4a00691b485" width="1000"/>
</div>
## 🎬 快速开始
@ -184,7 +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 `v0.21.1`。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` 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。
> 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。
```bash
$ cd ragflow/docker
@ -192,17 +191,15 @@
$ docker compose -f docker-compose.yml up -d
# To use GPU to accelerate embedding and DeepDoc tasks:
# sed -i '1i DEVICE=gpu' .env
# docker compose -f docker-compose.yml up -d
# docker compose -f docker-compose-gpu.yml up -d
```
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
| ----------------- | --------------- | --------------------- | ------------------------ |
| v0.21.1 | &approx;9 | ✔️ | Stable release |
| v0.21.1-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;2 | | _Unstable_ nightly build |
> 注意:从 `v0.22.0` 开始,我们只发布 slim 版本,并且不再在镜像标签后附加 **-slim** 后缀。
| v0.20.5 | &approx;9 | :heavy_check_mark: | Stable release |
| v0.20.5-slim | &approx;2 | ❌ | Stable release |
| nightly | &approx;9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | &approx;2 | ❌ | _Unstable_ nightly build |
> [!TIP]
> 如果你遇到 Docker 镜像拉不下来的问题,可以在 **docker/.env** 文件内根据变量 `RAGFLOW_IMAGE` 的注释提示选择华为云或者阿里云的相应镜像。
@ -213,7 +210,7 @@
4. 服务器启动成功后再次确认服务器状态:
```bash
$ docker logs -f docker-ragflow-cpu-1
$ docker logs -f ragflow-server
```
_出现以下界面提示说明服务器启动成功_
@ -289,7 +286,17 @@ RAGFlow 默认使用 Elasticsearch 存储文本和向量数据. 如果要切换
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly .
docker build --platform linux/amd64 --build-arg LIGHTEN=1 --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
```
## 🔧 源码编译 Docker 镜像(包含 embedding 模型)
本 Docker 大小约 9 GB 左右。由于已包含 embedding 模型,所以只需依赖外部的大模型服务即可。
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
docker build --platform linux/amd64 --build-arg NEED_MIRROR=1 -f Dockerfile -t infiniflow/ragflow:nightly .
```
## 🔨 以源代码启动服务
@ -306,7 +313,7 @@ docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
uv sync --python 3.10 # install RAGFlow dependent python modules
uv sync --python 3.10 --all-extras # install RAGFlow dependent python modules
uv run download_deps.py
pre-commit install
```

View File

@ -15,55 +15,22 @@ It consists of a server-side Service and a command-line client (CLI), both imple
- **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.
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. Install ragflow-cli.
2. Launch the CLI client:
```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
python admin/admin_client.py -h 0.0.0.0 -p 9381
## Supported Commands
@ -75,7 +42,12 @@ Commands are case-insensitive and must be terminated with a semicolon (`;`).
- 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
@ -83,17 +55,10 @@ Commands are case-insensitive and must be terminated with a semicolon (`;`).
- 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

574
admin/admin_client.py Normal file
View File

@ -0,0 +1,574 @@
import argparse
import base64
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
from requests.auth import HTTPBasicAuth
from api.common.base64 import encode_to_base64
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
// 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
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 ";"
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", "username": user_name}
def drop_user(self, items):
user_name = items[2]
return {"type": "drop_user", "username": user_name}
def alter_user(self, items):
user_name = items[3]
new_password = items[4]
return {"type": "alter_user", "username": user_name, "password": new_password}
def create_user(self, items):
user_name = items[2]
password = items[3]
return {"type": "create_user", "username": 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, "username": user_name}
def list_datasets(self, items):
user_name = items[3]
return {"type": "list_datasets", "username": user_name}
def list_agents(self, items):
user_name = items[3]
return {"type": "list_agents", "username": user_name}
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")
class AdminCommandParser:
def __init__(self):
self.parser = Lark(GRAMMAR, start='start', parser='lalr', transformer=AdminTransformer())
self.command_history = []
def parse_command(self, command_str: str) -> Dict[str, Any]:
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)}'}
class AdminCLI:
def __init__(self):
self.parser = AdminCommandParser()
self.is_interactive = False
self.admin_account = "admin@ragflow.io"
self.admin_password: str = "admin"
self.host: str = ""
self.port: int = 0
def verify_admin(self, args):
conn_info = self._parse_connection_args(args)
if 'error' in conn_info:
print(f"Error: {conn_info['error']}")
return
self.host = conn_info['host']
self.port = conn_info['port']
print(f"Attempt to access ip: {self.host}, port: {self.port}")
url = f'http://{self.host}:{self.port}/api/v1/admin/auth'
try_count = 0
while True:
try_count += 1
if try_count > 3:
return False
admin_passwd = input(f"password for {self.admin_account}: ").strip()
try:
self.admin_password = encode_to_base64(admin_passwd)
response = requests.get(url, auth=HTTPBasicAuth(self.admin_account, self.admin_password))
if response.status_code == 200:
res_json = response.json()
error_code = res_json.get('code', -1)
if error_code == 0:
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}, try again")
except Exception:
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 = {}
for col in columns:
max_width = len(str(col))
for item in data:
value_len = len(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 len(value) > col_widths[col]:
value = value[:col_widths[col] - 3] + "..."
row += f" {value:<{col_widths[col]}} |"
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.parser.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, args):
conn_info = self._parse_connection_args(args)
if 'error' in conn_info:
print(f"Error: {conn_info['error']}")
return
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')
try:
parsed_args, remaining_args = parser.parse_known_args(args)
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 '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 = requests.get(url, auth=HTTPBasicAuth(self.admin_account, self.admin_password))
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_service(self, command):
service_id: int = command['number']
print(f"Showing service: {service_id}")
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 = requests.get(url, auth=HTTPBasicAuth(self.admin_account, self.admin_password))
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['username']
username: str = username_tree.children[0].strip("'\"")
print(f"Showing user: {username}")
url = f'http://{self.host}:{self.port}/api/v1/admin/users/{username}'
response = requests.get(url, auth=HTTPBasicAuth(self.admin_account, self.admin_password))
res_json = response.json()
if response.status_code == 200:
self._print_table_simple(res_json['data'])
else:
print(f"Fail to get user {username}, code: {res_json['code']}, message: {res_json['message']}")
def _handle_drop_user(self, command):
username_tree: Tree = command['username']
username: str = username_tree.children[0].strip("'\"")
print(f"Drop user: {username}")
url = f'http://{self.host}:{self.port}/api/v1/admin/users/{username}'
response = requests.delete(url, auth=HTTPBasicAuth(self.admin_account, self.admin_password))
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):
username_tree: Tree = command['username']
username: str = username_tree.children[0].strip("'\"")
password_tree: Tree = command['password']
password: str = password_tree.children[0].strip("'\"")
print(f"Alter user: {username}, password: {password}")
url = f'http://{self.host}:{self.port}/api/v1/admin/users/{username}/password'
response = requests.put(url, auth=HTTPBasicAuth(self.admin_account, self.admin_password),
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):
username_tree: Tree = command['username']
username: str = username_tree.children[0].strip("'\"")
password_tree: Tree = command['password']
password: str = password_tree.children[0].strip("'\"")
role: str = command['role']
print(f"Create user: {username}, password: {password}, role: {role}")
url = f'http://{self.host}:{self.port}/api/v1/admin/users'
response = requests.post(
url,
auth=HTTPBasicAuth(self.admin_account, self.admin_password),
json={'username': username, '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 {username}, code: {res_json['code']}, message: {res_json['message']}")
def _handle_activate_user(self, command):
username_tree: Tree = command['username']
username: str = username_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 {username} activate status, turn {activate_status.lower()}.")
url = f'http://{self.host}:{self.port}/api/v1/admin/users/{username}/activate'
response = requests.put(url, auth=HTTPBasicAuth(self.admin_account, self.admin_password),
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['username']
username: str = username_tree.children[0].strip("'\"")
print(f"Listing all datasets of user: {username}")
url = f'http://{self.host}:{self.port}/api/v1/admin/users/{username}/datasets'
response = requests.get(url, auth=HTTPBasicAuth(self.admin_account, self.admin_password))
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 {username}, code: {res_json['code']}, message: {res_json['message']}")
def _handle_list_agents(self, command):
username_tree: Tree = command['username']
username: str = username_tree.children[0].strip("'\"")
print(f"Listing all agents of user: {username}")
url = f'http://{self.host}:{self.port}/api/v1/admin/users/{username}/agents'
response = requests.get(url, auth=HTTPBasicAuth(self.admin_account, self.admin_password))
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 {username}, 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()
if len(sys.argv) == 1 or (len(sys.argv) > 1 and sys.argv[1] == '-'):
print(r"""
____ ___ ______________ ___ __ _
/ __ \/ | / ____/ ____/ /___ _ __ / | ____/ /___ ___ (_)___
/ /_/ / /| |/ / __/ /_ / / __ \ | /| / / / /| |/ __ / __ `__ \/ / __ \
/ _, _/ ___ / /_/ / __/ / / /_/ / |/ |/ / / ___ / /_/ / / / / / / / / / /
/_/ |_/_/ |_\____/_/ /_/\____/|__/|__/ /_/ |_\__,_/_/ /_/ /_/_/_/ /_/
""")
if cli.verify_admin(sys.argv):
cli.run_interactive()
else:
if cli.verify_admin(sys.argv):
cli.run_interactive()
# cli.run_single_command(sys.argv[1:])
if __name__ == '__main__':
main()

View File

@ -1,18 +1,3 @@
#
# 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
@ -27,9 +12,6 @@ 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()
@ -45,17 +27,7 @@ if __name__ == '__main__':
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:

57
admin/auth.py Normal file
View File

@ -0,0 +1,57 @@
import logging
import uuid
from functools import wraps
from flask import request, jsonify
from exceptions import AdminException
from api.db.init_data import encode_to_base64
from api.db.services import UserService
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']
# TODO: to check the username and password from DB
if check_admin(username, password) is False:
return jsonify({
"code": 403,
"message": "Access denied",
"data": None
}), 200
return f(*args, **kwargs)
return decorated

View File

@ -1,47 +0,0 @@
#!/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!"

View File

@ -1,931 +0,0 @@
#
# 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()

View File

@ -1,24 +0,0 @@
[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"

View File

@ -1,20 +1,3 @@
#
# 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
@ -26,8 +9,6 @@ from urllib.parse import urlparse
class ServiceConfigs:
configs = dict
def __init__(self):
self.configs = []
self.lock = threading.Lock()
@ -51,11 +32,9 @@ class BaseConfig(BaseModel):
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}
return {'id': self.id, 'name': self.name, 'host': self.host, 'port': self.port, 'service_type': self.service_type}
class MetaConfig(BaseConfig):
@ -230,9 +209,7 @@ def load_configurations(config_path: str) -> list[BaseConfig]:
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")
config = RAGFlowServerConfig(id=id_count, name=name, host=host, port=http_port, service_type="ragflow_server")
configurations.append(config)
id_count += 1
case "es":
@ -245,8 +222,7 @@ def load_configurations(config_path: str) -> list[BaseConfig]:
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")
username=username, password=password)
configurations.append(config)
id_count += 1
@ -257,9 +233,8 @@ def load_configurations(config_path: str) -> list[BaseConfig]:
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")
config = InfinityConfig(id=id_count, name=name, host=host, port=port, service_type="retrieval", retrieval_type="infinity",
db_name=database)
configurations.append(config)
id_count += 1
case "minio":
@ -270,9 +245,8 @@ def load_configurations(config_path: str) -> list[BaseConfig]:
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")
config = MinioConfig(id=id_count, name=name, host=host, port=port, user=user, password=password, service_type="file_store",
store_type="minio")
configurations.append(config)
id_count += 1
case "redis":
@ -284,7 +258,7 @@ def load_configurations(config_path: str) -> list[BaseConfig]:
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")
service_type="message_queue", mq_type="redis")
configurations.append(config)
id_count += 1
case "mysql":
@ -294,7 +268,7 @@ def load_configurations(config_path: str) -> list[BaseConfig]:
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")
service_type="meta_data", meta_type="mysql")
configurations.append(config)
id_count += 1
case "admin":

0
admin/models.py Normal file
View File

15
admin/responses.py Normal file
View File

@ -0,0 +1,15 @@
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

190
admin/routes.py Normal file
View File

@ -0,0 +1,190 @@
from flask import Blueprint, request
from auth import login_verify
from responses import success_response, error_response
from services import UserMgr, ServiceMgr, UserServiceMgr
from exceptions import AdminException
admin_bp = Blueprint('admin', __name__, url_prefix='/api/v1/admin')
@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_verify
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_verify
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_verify
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_verify
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_verify
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_verify
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_verify
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_verify
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_verify
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_verify
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_verify
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_verify
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_verify
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)

View File

@ -1,189 +0,0 @@
#
# 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 get_uuid
from common.time_utils import current_timestamp, datetime_format, get_format_time
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

View File

@ -1,15 +0,0 @@
#
# 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.
#

View File

@ -1,34 +0,0 @@
#
# 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

View File

@ -1,76 +0,0 @@
#
# 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)

View File

@ -1,371 +0,0 @@
#
# 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)

View File

@ -1,20 +1,3 @@
#
# 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
@ -24,25 +7,16 @@ 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 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,
})
result.append({'email': user.email, 'nickname': user.nickname, 'create_date': user.create_date, 'is_active': user.is_active})
return result
@staticmethod
@ -55,6 +29,7 @@ class UserMgr:
'email': user.email,
'language': user.language,
'last_login_time': user.last_login_time,
'is_authenticated': user.is_authenticated,
'is_active': user.is_active,
'is_anonymous': user.is_anonymous,
'login_channel': user.login_channel,
@ -135,7 +110,6 @@ class UserMgr:
UserService.update_user(usr.id, {"is_active": target_status})
return f"Turn {_activate_status} user activate status successfully!"
class UserServiceMgr:
@staticmethod
@ -170,27 +144,18 @@ class UserServiceMgr:
return [{
'title': r['title'],
'permission': r['permission'],
'canvas_category': r['canvas_category'].split('_')[0]
'canvas_type': r['canvas_type'],
'canvas_category': r['canvas_category']
} 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)
for config in configs:
result.append(config.to_dict())
return result
@staticmethod
@ -199,22 +164,7 @@ class ServiceMgr:
@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
raise AdminException("get_service_details: not implemented")
@staticmethod
def shutdown_service(service_id: int):

View File

@ -203,6 +203,7 @@ class Canvas(Graph):
self.history = []
self.retrieval = []
self.memory = []
for k in self.globals.keys():
if isinstance(self.globals[k], str):
self.globals[k] = ""
@ -291,6 +292,7 @@ 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])
@ -391,6 +393,7 @@ 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",

View File

@ -346,11 +346,3 @@ 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

@ -19,12 +19,11 @@ 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):
@ -44,11 +43,11 @@ 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):
@ -64,18 +63,6 @@ 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
@ -88,32 +75,52 @@ 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:

File diff suppressed because one or more lines are too long

File diff suppressed because one or more lines are too long

File diff suppressed because one or more lines are too long

File diff suppressed because one or more lines are too long

File diff suppressed because one or more lines are too long

View File

@ -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=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}:")
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)
if resp.status_code != 200:
resp.raise_for_status()
body = resp.json()

View File

@ -53,13 +53,12 @@ class ExeSQLParam(ToolParamBase):
self.max_records = 1024
def check(self):
self.check_valid_value(self.db_type, "Choose DB type", ['mysql', 'postgres', 'mariadb', 'mssql', 'IBM DB2', 'trino'])
self.check_valid_value(self.db_type, "Choose DB type", ['mysql', 'postgres', 'mariadb', 'mssql', 'IBM DB2'])
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")
if self.db_type != "trino":
self.check_empty(self.password, "Database password")
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":
@ -124,45 +123,6 @@ 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 = (

View File

@ -85,7 +85,13 @@ 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: self._format_pubmed_content(child),)
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")
return self.output("formalized_content")
except Exception as e:
last_e = e
@ -98,50 +104,5 @@ 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", "-_-!"))

View File

@ -18,14 +18,12 @@ 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.generator import cross_languages, kb_prompt, gen_meta_filter
from rag.prompts.generator import cross_languages, kb_prompt
class RetrievalParam(ToolParamBase):
@ -59,8 +57,6 @@ 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")
@ -120,27 +116,12 @@ 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.retriever.retrieval(
kbinfos = settings.retrievaler.retrieval(
query,
embd_mdl,
[kb.tenant_id for kb in kbs],
@ -149,18 +130,12 @@ 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_retriever.retrieval(query,
ck = settings.kg_retrievaler.retrieval(query,
[kb.tenant_id for kb in kbs],
kb_ids,
embd_mdl,
@ -171,7 +146,7 @@ class Retrieval(ToolBase, ABC):
kbinfos = {"chunks": [], "doc_aggs": []}
if self._param.use_kg and kbs:
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))
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))
if ck["content_with_weight"]:
ck["content"] = ck["content_with_weight"]
del ck["content_with_weight"]

View File

@ -85,7 +85,7 @@ class SearXNG(ToolBase, ABC):
self.set_output("formalized_content", "")
return ""
searxng_url = (getattr(self._param, "searxng_url", "") or kwargs.get("searxng_url") or "").strip()
searxng_url = (kwargs.get("searxng_url") or getattr(self._param, "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", "")

View File

@ -33,7 +33,7 @@ from api.db.services.knowledgebase_service import KnowledgebaseService
from api.db.services.task_service import queue_tasks, TaskService
from api.db.services.user_service import UserTenantService
from api import settings
from api.utils import get_uuid
from api.utils import get_uuid, current_timestamp, datetime_format
from api.utils.api_utils import server_error_response, get_data_error_result, get_json_result, validate_request, \
generate_confirmation_token
@ -41,7 +41,6 @@ from api.utils.file_utils import filename_type, thumbnail
from rag.app.tag import label_question
from rag.prompts.generator import keyword_extraction
from rag.utils.storage_factory import STORAGE_IMPL
from common.time_utils import current_timestamp, datetime_format
from api.db.services.canvas_service import UserCanvasService
from agent.canvas import Canvas
@ -537,7 +536,7 @@ def list_chunks():
)
kb_ids = KnowledgebaseService.get_kb_ids(tenant_id)
res = settings.retriever.chunk_list(doc_id, tenant_id, kb_ids)
res = settings.retrievaler.chunk_list(doc_id, tenant_id, kb_ids)
res = [
{
"content": res_item["content_with_weight"],
@ -885,7 +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.retriever.retrieval(question, embd_mdl, kbs[0].tenant_id, kb_ids, page, size,
ranks = settings.retrievaler.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

@ -51,7 +51,7 @@ 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.get_all()])
return get_json_result(data=[c.to_dict() for c in CanvasTemplateService.query(canvas_category=CanvasCategory.Agent)])
@manager.route('/rm', methods=['POST']) # noqa: F821
@ -409,49 +409,6 @@ def test_db_connect():
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':

View File

@ -35,7 +35,7 @@ from rag.app.tag import label_question
from rag.nlp import rag_tokenizer, search
from rag.prompts.generator import gen_meta_filter, cross_languages, keyword_extraction
from rag.settings import PAGERANK_FLD
from common.string_utils import remove_redundant_spaces
from rag.utils import rmSpace
@manager.route('/list', methods=['POST']) # noqa: F821
@ -60,12 +60,12 @@ def list_chunk():
}
if "available_int" in req:
query["available_int"] = int(req["available_int"])
sres = settings.retriever.search(query, search.index_name(tenant_id), kb_ids, highlight=["content_ltks"])
sres = settings.retrievaler.search(query, search.index_name(tenant_id), kb_ids, highlight=True)
res = {"total": sres.total, "chunks": [], "doc": doc.to_dict()}
for id in sres.ids:
d = {
"chunk_id": id,
"content_with_weight": remove_redundant_spaces(sres.highlight[id]) if question and id in sres.highlight else sres.field[
"content_with_weight": rmSpace(sres.highlight[id]) if question and id in sres.highlight else sres.field[
id].get(
"content_with_weight", ""),
"doc_id": sres.field[id]["doc_id"],
@ -346,16 +346,15 @@ def retrieval_test():
question += keyword_extraction(chat_mdl, question)
labels = label_question(question, [kb])
ranks = settings.retriever.retrieval(question, embd_mdl, tenant_ids, kb_ids, page, size,
ranks = settings.retrievaler.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", False),
doc_ids, rerank_mdl=rerank_mdl, highlight=req.get("highlight"),
rank_feature=labels
)
if use_kg:
ck = settings.kg_retriever.retrieval(question,
ck = settings.kg_retrievaler.retrieval(question,
tenant_ids,
kb_ids,
embd_mdl,
@ -385,7 +384,7 @@ def knowledge_graph():
"doc_ids": [doc_id],
"knowledge_graph_kwd": ["graph", "mind_map"]
}
sres = settings.retriever.search(req, search.index_name(tenant_id), kb_ids)
sres = settings.retrievaler.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

@ -24,7 +24,6 @@ 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
@ -45,7 +44,7 @@ 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, rag_tokenizer
from rag.nlp import search
from rag.utils.storage_factory import STORAGE_IMPL
@ -69,10 +68,8 @@ def upload():
e, kb = KnowledgebaseService.get_by_id(kb_id)
if not e:
raise LookupError("Can't find this knowledgebase!")
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)
@ -97,8 +94,6 @@ 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:
@ -524,21 +519,6 @@ 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)
@ -572,8 +552,8 @@ def get(doc_id):
@login_required
@validate_request("doc_id")
def change_parser():
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)
@ -583,7 +563,7 @@ def change_parser():
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})
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 doc.token_num > 0:
@ -597,7 +577,7 @@ def change_parser():
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 "pipeline_id" in req:
if doc.pipeline_id == req["pipeline_id"]:
return get_json_result(data=True)
DocumentService.update_by_id(doc.id, {"pipeline_id": req["pipeline_id"]})

View File

@ -13,7 +13,6 @@
# See the License for the specific language governing permissions and
# limitations under the License
#
import logging
import os
import pathlib
import re
@ -22,7 +21,6 @@ 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
@ -235,63 +233,54 @@ 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 or not file:
if not e:
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.tenant_id != 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:
_delete_folder_recursive(file, current_user.id)
continue
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_single_file(file)
# 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)
return get_json_result(data=True)
except Exception as e:
return server_error_response(e)
@ -305,7 +294,7 @@ 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):
if file.tenant_id != 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(
@ -343,7 +332,7 @@ 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):
if file.tenant_id != 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)
@ -365,89 +354,31 @@ 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"]
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!")
parent_id = req["dest_file_id"]
files = FileService.get_by_ids(file_ids)
if not files:
return get_data_error_result(message="Source files not found!")
files_dict = {f.id: f for f in files}
files_dict = {}
for file in files:
files_dict[file.id] = file
for file_id in file_ids:
file = files_dict.get(file_id)
file = files_dict[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!")
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)
if file.tenant_id != current_user.id:
return get_json_result(data=False, message='No authorization.', code=settings.RetCode.AUTHENTICATION_ERROR)
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)
return get_json_result(data=True)
except Exception as e:
return server_error_response(e)

View File

@ -36,10 +36,8 @@ 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
@manager.route('/create', methods=['post']) # noqa: F821
@login_required
@validate_request("name")
@ -70,7 +68,6 @@ def create():
e, t = TenantService.get_by_id(current_user.id)
if not e:
return get_data_error_result(message="Tenant not found.")
req["parser_config"] = {
"layout_recognize": "DeepDOC",
"chunk_token_num": 512,
@ -189,9 +186,6 @@ 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)
@ -287,7 +281,7 @@ def list_tags(kb_id):
tenants = UserTenantService.get_tenants_by_user_id(current_user.id)
tags = []
for tenant in tenants:
tags += settings.retriever.all_tags(tenant["tenant_id"], [kb_id])
tags += settings.retrievaler.all_tags(tenant["tenant_id"], [kb_id])
return get_json_result(data=tags)
@ -306,7 +300,7 @@ def list_tags_from_kbs():
tenants = UserTenantService.get_tenants_by_user_id(current_user.id)
tags = []
for tenant in tenants:
tags += settings.retriever.all_tags(tenant["tenant_id"], kb_ids)
tags += settings.retrievaler.all_tags(tenant["tenant_id"], kb_ids)
return get_json_result(data=tags)
@ -367,7 +361,7 @@ 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.retriever.search(req, search.index_name(kb.tenant_id), [kb_id])
sres = settings.retrievaler.search(req, search.index_name(kb.tenant_id), [kb_id])
if not len(sres.ids):
return get_json_result(data=obj)
@ -580,7 +574,7 @@ def run_graphrag():
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))
task_id = queue_raptor_o_graphrag_tasks(doc=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}")
@ -649,7 +643,7 @@ def run_raptor():
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))
task_id = queue_raptor_o_graphrag_tasks(doc=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}")
@ -718,7 +712,7 @@ def run_mindmap():
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))
task_id = queue_raptor_o_graphrag_tasks(doc=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}")
@ -765,25 +759,18 @@ def delete_kb_task():
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_id = "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_id = "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_id = "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})
ok = KnowledgebaseService.update_by_id(kb_id, {kb_task_id: "", kb_task_finish_at: None})
if not ok:
return server_error_response(f"Internal error: cannot delete task {pipeline_task_type}")

View File

@ -15,11 +15,11 @@
#
import logging
import json
import os
from flask import request
from flask_login import login_required, current_user
from api.db.services.tenant_llm_service import LLMFactoriesService, TenantLLMService
from api.db.services.llm_service import LLMService
from api import settings
from api.utils.api_utils import server_error_response, get_data_error_result, validate_request
from api.db import StatusEnum, LLMType
from api.db.db_models import TenantLLM
@ -194,9 +194,6 @@ 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,
@ -369,7 +366,7 @@ def my_llms():
@login_required
def list_app():
self_deployed = ["Youdao", "FastEmbed", "BAAI", "Ollama", "Xinference", "LocalAI", "LM-Studio", "GPUStack"]
weighted = []
weighted = ["Youdao", "FastEmbed", "BAAI"] if settings.LIGHTEN != 0 else []
model_type = request.args.get("model_type")
try:
objs = TenantLLMService.query(tenant_id=current_user.id)
@ -379,8 +376,6 @@ def list_app():
for m in llms if m.status == StatusEnum.VALID.value and m.fid not in weighted]
for m in llms:
m["available"] = m["fid"] in facts or m["llm_name"].lower() == "flag-embedding" or m["fid"] in self_deployed
if "tei-" in os.getenv("COMPOSE_PROFILES", "") and m["model_type"]==LLMType.EMBEDDING and m["fid"]=="Builtin" and m["llm_name"]==os.getenv('TEI_MODEL', ''):
m["available"] = True
llm_set = set([m["llm_name"] + "@" + m["fid"] for m in llms])
for o in objs:

View File

@ -1,26 +1,8 @@
#
# 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

@ -25,7 +25,6 @@ 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):
@ -42,7 +41,7 @@ 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)
@ -94,7 +93,7 @@ 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

@ -169,8 +169,6 @@ def update(tenant_id, chat_id):
if len(embd_count) > 1:
return get_result(message='Datasets use different embedding models."', code=settings.RetCode.AUTHENTICATION_ERROR)
req["kb_ids"] = ids
else:
req["kb_ids"] = []
llm = req.get("llm")
if llm:
if "model_name" in llm:

View File

@ -215,8 +215,7 @@ 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
@ -233,8 +232,7 @@ 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
@ -331,8 +329,7 @@ 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"])
@ -344,8 +341,7 @@ 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")
@ -353,8 +349,7 @@ 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
@ -364,12 +359,10 @@ 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)")
@ -461,7 +454,7 @@ 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, total = KnowledgebaseService.get_list(
kbs = KnowledgebaseService.get_list(
[m["tenant_id"] for m in tenants],
tenant_id,
args["page"],
@ -475,15 +468,14 @@ 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, total=total)
return get_result(data=response_data_list)
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,
@ -499,7 +491,7 @@ 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.retriever.search(req, search.index_name(kb.tenant_id), [dataset_id])
sres = settings.retrievaler.search(req, search.index_name(kb.tenant_id), [dataset_id])
if not len(sres.ids):
return get_result(data=obj)
@ -515,16 +507,14 @@ 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,
@ -532,7 +522,6 @@ 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");
@ -31,89 +31,6 @@ 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"]
@ -121,9 +38,9 @@ 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:
@ -133,12 +50,12 @@ 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.retriever.retrieval(
ranks = settings.retrievaler.retrieval(
question,
embd_mdl,
kb.tenant_id,
@ -153,17 +70,17 @@ def retrieval(tenant_id):
)
if use_kg:
ck = settings.kg_retriever.retrieval(question,
[tenant_id],
[kb_id],
embd_mdl,
LLMBundle(kb.tenant_id, LLMType.CHAT))
ck = settings.kg_retrievaler.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"]
@ -183,3 +100,5 @@ def retrieval(tenant_id):
)
logging.exception(e)
return build_error_result(message=str(e), code=settings.RetCode.SERVER_ERROR)

View File

@ -41,8 +41,8 @@ from rag.app.qa import beAdoc, rmPrefix
from rag.app.tag import label_question
from rag.nlp import rag_tokenizer, search
from rag.prompts.generator import cross_languages, keyword_extraction
from rag.utils import rmSpace
from rag.utils.storage_factory import STORAGE_IMPL
from common.string_utils import remove_redundant_spaces
MAXIMUM_OF_UPLOADING_FILES = 256
@ -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
@ -470,20 +470,6 @@ 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
@ -526,62 +512,63 @@ 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}. ")
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")
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 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}.")
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(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", "")
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)
# 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))
create_time_from = int(request.args.get("create_time_from", 0))
create_time_to = int(request.args.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:
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)
]
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
# rename keys + map run status back to text for output
# rename key's name
renamed_doc_list = []
key_mapping = {
"chunk_num": "chunk_count",
"kb_id": "dataset_id",
"kb_id": "dataset_id",
"token_num": "token_count",
"parser_id": "chunk_method",
}
run_status_numeric_to_text = {"0": "UNSTART", "1": "RUNNING", "2": "CANCEL", "3": "DONE", "4": "FAIL"}
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})
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
@ -995,12 +982,12 @@ 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.retriever.search(query, search.index_name(tenant_id), [dataset_id], emb_mdl=None, highlight=True)
sres = settings.retrievaler.search(query, search.index_name(tenant_id), [dataset_id], emb_mdl=None, highlight=True)
res["total"] = sres.total
for id in sres.ids:
d = {
"id": id,
"content": (remove_redundant_spaces(sres.highlight[id]) if question and id in sres.highlight else sres.field[id].get("content_with_weight", "")),
"content": (rmSpace(sres.highlight[id]) if question and id in sres.highlight else sres.field[id].get("content_with_weight", "")),
"document_id": sres.field[id]["doc_id"],
"docnm_kwd": sres.field[id]["docnm_kwd"],
"important_keywords": sres.field[id].get("important_kwd", []),
@ -1459,7 +1446,7 @@ def retrieval_test(tenant_id):
chat_mdl = LLMBundle(kb.tenant_id, LLMType.CHAT)
question += keyword_extraction(chat_mdl, question)
ranks = settings.retriever.retrieval(
ranks = settings.retrievaler.retrieval(
question,
embd_mdl,
tenant_ids,
@ -1475,7 +1462,7 @@ def retrieval_test(tenant_id):
rank_feature=label_question(question, kbs),
)
if use_kg:
ck = settings.kg_retriever.retrieval(question, [k.tenant_id for k in kbs], kb_ids, embd_mdl, LLMBundle(kb.tenant_id, LLMType.CHAT))
ck = settings.kg_retrievaler.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

@ -1,20 +1,3 @@
#
# 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
@ -34,8 +17,7 @@ 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):
"""
@ -62,22 +44,22 @@ 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")
@ -115,14 +97,12 @@ def upload(tenant_id):
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]
@ -149,7 +129,7 @@ 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):
"""
@ -227,7 +207,7 @@ 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):
"""
@ -319,7 +299,7 @@ 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):
"""
@ -355,7 +335,7 @@ 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():
"""
@ -400,7 +380,7 @@ 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):
"""
@ -448,7 +428,7 @@ 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):
"""
@ -522,7 +502,7 @@ 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):
"""
@ -562,8 +542,7 @@ 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):
@ -583,9 +562,9 @@ 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.
---
@ -631,7 +610,7 @@ 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):
"""
@ -690,7 +669,6 @@ def move(tenant_id):
except Exception as e:
return server_error_response(e)
@manager.route('/file/convert', methods=['POST']) # noqa: F821
@token_required
def convert(tenant_id):
@ -757,4 +735,4 @@ def convert(tenant_id):
file2documents.append(file2document.to_json())
return get_json_result(data=file2documents)
except Exception as e:
return server_error_response(e)
return server_error_response(e)

View File

@ -36,8 +36,7 @@ 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.template import load_prompt
from rag.prompts.generator import cross_languages, gen_meta_filter, keyword_extraction, chunks_format
@ -89,8 +88,7 @@ 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)
@ -281,7 +279,7 @@ 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
@ -326,8 +324,7 @@ 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", "")
@ -562,8 +559,7 @@ 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:
@ -585,8 +581,7 @@ 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
@ -644,16 +639,13 @@ 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))
@ -699,16 +691,13 @@ 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))
@ -741,9 +730,7 @@ 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")
@ -895,9 +882,7 @@ 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
@ -926,9 +911,7 @@ 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")
@ -995,8 +978,7 @@ 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:
@ -1016,13 +998,11 @@ def retrieval_test_embedded():
question += keyword_extraction(chat_mdl, question)
labels = label_question(question, [kb])
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
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
)
if use_kg:
ck = settings.kg_retriever.retrieval(question, tenant_ids, kb_ids, embd_mdl,
LLMBundle(kb.tenant_id, LLMType.CHAT))
ck = settings.kg_retrievaler.retrieval(question, tenant_ids, kb_ids, embd_mdl, LLMBundle(kb.tenant_id, LLMType.CHAT))
if ck["content_with_weight"]:
ranks["chunks"].insert(0, ck)
@ -1033,8 +1013,7 @@ 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)
@ -1103,8 +1082,7 @@ 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

@ -24,6 +24,7 @@ from api.db.services.api_service import APITokenService
from api.db.services.knowledgebase_service import KnowledgebaseService
from api.db.services.user_service import UserTenantService
from api import settings
from api.utils import current_timestamp, datetime_format
from api.utils.api_utils import (
get_json_result,
get_data_error_result,
@ -31,7 +32,6 @@ from api.utils.api_utils import (
generate_confirmation_token,
)
from api.versions import get_ragflow_version
from common.time_utils import current_timestamp, datetime_format
from rag.utils.storage_factory import STORAGE_IMPL, STORAGE_IMPL_TYPE
from timeit import default_timer as timer
@ -162,7 +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:
@ -178,11 +178,6 @@ def healthz():
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():
@ -274,8 +269,7 @@ 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

@ -23,8 +23,7 @@ from api.db import UserTenantRole, StatusEnum
from api.db.db_models import UserTenant
from api.db.services.user_service import UserTenantService, UserService
from api.utils import get_uuid
from common.time_utils import delta_seconds
from api.utils import get_uuid, delta_seconds
from api.utils.api_utils import get_json_result, validate_request, server_error_response, get_data_error_result
from api.utils.web_utils import send_invite_email
@ -71,8 +70,7 @@ 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(),
@ -134,8 +132,7 @@ 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

@ -15,14 +15,11 @@
#
import json
import logging
import string
import os
import re
import secrets
import time
from datetime import datetime
from flask import redirect, request, session, make_response
from flask import redirect, request, session
from flask_login import current_user, login_required, login_user, logout_user
from werkzeug.security import check_password_hash, generate_password_hash
@ -34,8 +31,13 @@ from api.db.services.file_service import FileService
from api.db.services.llm_service import get_init_tenant_llm
from api.db.services.tenant_llm_service import TenantLLMService
from api.db.services.user_service import TenantService, UserService, UserTenantService
from common.time_utils import current_timestamp, datetime_format, get_format_time
from api.utils import download_img, get_uuid
from api.utils import (
current_timestamp,
datetime_format,
download_img,
get_format_time,
get_uuid,
)
from api.utils.api_utils import (
construct_response,
get_data_error_result,
@ -44,19 +46,6 @@ from api.utils.api_utils import (
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
@ -836,172 +825,3 @@ 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)

View File

@ -1,59 +0,0 @@
#
# 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

View File

@ -1,43 +0,0 @@
#
# 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

@ -35,8 +35,6 @@ from api.db import ParserType, SerializedType
from api.utils.json import json_dumps, json_loads
from api.utils.configs import deserialize_b64, serialize_b64
from common.time_utils import current_timestamp, timestamp_to_date, date_string_to_timestamp
def singleton(cls, *args, **kw):
instances = {}
@ -191,7 +189,7 @@ class BaseModel(Model):
for i, v in enumerate(f_v):
if isinstance(v, str) and f_n in auto_date_timestamp_field():
# time type: %Y-%m-%d %H:%M:%S
f_v[i] = date_string_to_timestamp(v)
f_v[i] = utils.date_string_to_timestamp(v)
lt_value = f_v[0]
gt_value = f_v[1]
if lt_value is not None and gt_value is not None:
@ -220,9 +218,9 @@ class BaseModel(Model):
@classmethod
def insert(cls, __data=None, **insert):
if isinstance(__data, dict) and __data:
__data[cls._meta.combined["create_time"]] = current_timestamp()
__data[cls._meta.combined["create_time"]] = utils.current_timestamp()
if insert:
insert["create_time"] = current_timestamp()
insert["create_time"] = utils.current_timestamp()
return super().insert(__data, **insert)
@ -233,11 +231,11 @@ class BaseModel(Model):
if not normalized:
return {}
normalized[cls._meta.combined["update_time"]] = current_timestamp()
normalized[cls._meta.combined["update_time"]] = utils.current_timestamp()
for f_n in AUTO_DATE_TIMESTAMP_FIELD_PREFIX:
if {f"{f_n}_time", f"{f_n}_date"}.issubset(cls._meta.combined.keys()) and cls._meta.combined[f"{f_n}_time"] in normalized and normalized[cls._meta.combined[f"{f_n}_time"]] is not None:
normalized[cls._meta.combined[f"{f_n}_date"]] = timestamp_to_date(normalized[cls._meta.combined[f"{f_n}_time"]])
normalized[cls._meta.combined[f"{f_n}_date"]] = utils.timestamp_to_date(normalized[cls._meta.combined[f"{f_n}_time"]])
return normalized
@ -315,75 +313,9 @@ class RetryingPooledMySQLDatabase(PooledMySQLDatabase):
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 = RetryingPooledPostgresqlDatabase
POSTGRES = PooledPostgresqlDatabase
class DatabaseMigrator(Enum):
@ -396,7 +328,7 @@ class BaseDataBase:
def __init__(self):
database_config = settings.DATABASE.copy()
db_name = database_config.pop("name")
pool_config = {
'max_retries': 5,
'retry_delay': 1,
@ -709,7 +641,7 @@ 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 = TextField(null=True, help_text="API KEY")
api_key = CharField(max_length=2048, null=True, help_text="API KEY", index=True)
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)
@ -1210,8 +1142,4 @@ def migrate_db():
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

@ -18,7 +18,7 @@ from functools import reduce
from playhouse.pool import PooledMySQLDatabase
from common.time_utils import current_timestamp, timestamp_to_date
from api.utils import current_timestamp, timestamp_to_date
from api.db.db_models import DB, DataBaseModel

View File

@ -19,7 +19,7 @@ import peewee
from api.db.db_models import DB, API4Conversation, APIToken, Dialog
from api.db.services.common_service import CommonService
from common.time_utils import current_timestamp, datetime_format
from api.utils import current_timestamp, datetime_format
class APITokenService(CommonService):

View File

@ -143,12 +143,15 @@ 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)),
(fn.LOWER(cls.model.title).contains(keywords.lower()))
cls.model.user_id.in_(joined_tenant_ids),
fn.LOWER(cls.model.title).contains(keywords.lower())
#(((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.user_id.in_(joined_tenant_ids)) & (cls.model.permission == TenantPermission.TEAM.value)) | (cls.model.user_id == user_id))
)
if canvas_category:
agents = agents.where(cls.model.canvas_category == canvas_category)

View File

@ -19,8 +19,7 @@ import peewee
from peewee import InterfaceError, OperationalError
from api.db.db_models import DB
from api.utils import get_uuid
from common.time_utils import current_timestamp, datetime_format
from api.utils import current_timestamp, datetime_format, get_uuid
def retry_db_operation(func):
@retry(

View File

@ -34,16 +34,15 @@ from api.db.services.knowledgebase_service import KnowledgebaseService
from api.db.services.langfuse_service import TenantLangfuseService
from api.db.services.llm_service import LLMBundle
from api.db.services.tenant_llm_service import TenantLLMService
from common.time_utils import current_timestamp, datetime_format
from api.utils import current_timestamp, datetime_format
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.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
from rag.utils import num_tokens_from_string, rmSpace
from rag.utils.tavily_conn import Tavily
from common.string_utils import remove_redundant_spaces
class DialogService(CommonService):
@ -371,7 +370,7 @@ def chat(dialog, messages, stream=True, **kwargs):
chat_mdl.bind_tools(toolcall_session, tools)
bind_models_ts = timer()
retriever = settings.retriever
retriever = settings.retrievaler
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]:
@ -467,17 +466,13 @@ 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_retriever.retrieval(" ".join(questions), tenant_ids, dialog.kb_ids, embd_mdl,
ck = settings.kg_retrievaler.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)
@ -663,7 +658,7 @@ 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.retriever.sql_retrieval(sql, format="json"), sql
return settings.retrievaler.sql_retrieval(sql, format="json"), sql
tbl, sql = get_table()
if tbl is None:
@ -707,7 +702,7 @@ Please write the SQL, only SQL, without any other explanations or text.
line = "|" + "|".join(["------" for _ in range(len(column_idx))]) + ("|------|" if docid_idx and docid_idx else "")
rows = ["|" + "|".join([remove_redundant_spaces(str(r[i])) for i in column_idx]).replace("None", " ") + "|" for r in tbl["rows"]]
rows = ["|" + "|".join([rmSpace(str(r[i])) for i in column_idx]).replace("None", " ") + "|" for r in tbl["rows"]]
rows = [r for r in rows if re.sub(r"[ |]+", "", r)]
if quota:
rows = "\n".join([r + f" ##{ii}$$ |" for ii, r in enumerate(rows)])
@ -757,7 +752,7 @@ 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.retriever if not is_knowledge_graph else settings.kg_retriever
retriever = settings.retrievaler if not is_knowledge_graph else settings.kg_retrievaler
embd_mdl = LLMBundle(tenant_id, LLMType.EMBEDDING, embedding_list[0])
chat_mdl = LLMBundle(tenant_id, LLMType.CHAT, chat_llm_name)
@ -853,7 +848,7 @@ def gen_mindmap(question, kb_ids, tenant_id, search_config={}):
if not doc_ids:
doc_ids = None
ranks = settings.retriever.retrieval(
ranks = settings.retrievaler.retrieval(
question=question,
embd_mdl=embd_mdl,
tenant_ids=tenant_ids,

View File

@ -34,8 +34,7 @@ from api.db.db_models import DB, Document, Knowledgebase, Task, Tenant, UserTena
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
from api.utils import get_uuid
from common.time_utils import current_timestamp, get_format_time
from api.utils import current_timestamp, get_format_time, get_uuid
from rag.nlp import rag_tokenizer, search
from rag.settings import get_svr_queue_name, SVR_CONSUMER_GROUP_NAME
from rag.utils.redis_conn import REDIS_CONN
@ -80,7 +79,7 @@ class DocumentService(CommonService):
@classmethod
@DB.connection_context()
def get_list(cls, kb_id, page_number, items_per_page,
orderby, desc, keywords, id, name, suffix=None, run = None):
orderby, desc, keywords, id, name):
fields = cls.get_cls_model_fields()
docs = cls.model.select(*[*fields, UserCanvas.title]).join(File2Document, on = (File2Document.document_id == cls.model.id))\
.join(File, on = (File.id == File2Document.file_id))\
@ -97,10 +96,6 @@ 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:
@ -672,11 +667,9 @@ class DocumentService(CommonService):
@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 = TaskService.query(doc_id=d["id"], order_by=Task.create_time)
tsks = Task.query(doc_id=d["id"], order_by=Task.create_time)
if not tsks:
continue
msg = []
@ -794,23 +787,21 @@ class DocumentService(CommonService):
"cancelled": int(cancelled),
}
def queue_raptor_o_graphrag_tasks(sample_doc_id, ty, priority, fake_doc_id="", doc_ids=[]):
def queue_raptor_o_graphrag_tasks(doc, 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"])
chunking_config = DocumentService.get_chunking_config(doc["id"])
hasher = xxhash.xxh64()
for field in sorted(chunking_config.keys()):
hasher.update(str(chunking_config[field]).encode("utf-8"))
def new_task():
nonlocal sample_doc_id
nonlocal doc
return {
"id": get_uuid(),
"doc_id": sample_doc_id["id"],
"doc_id": fake_doc_id if fake_doc_id else doc["id"],
"from_page": 100000000,
"to_page": 100000000,
"task_type": ty,
@ -825,9 +816,9 @@ def queue_raptor_o_graphrag_tasks(sample_doc_id, ty, priority, fake_doc_id="", d
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"])
if ty in ["graphrag", "raptor", "mindmap"]:
task["doc_ids"] = doc_ids
DocumentService.begin2parse(doc["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"]

View File

@ -20,7 +20,7 @@ from api.db.db_models import DB
from api.db.db_models import File, File2Document
from api.db.services.common_service import CommonService
from api.db.services.document_service import DocumentService
from common.time_utils import current_timestamp, datetime_format
from api.utils import current_timestamp, datetime_format
class File2DocumentService(CommonService):

View File

@ -476,16 +476,6 @@ 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)

View File

@ -20,7 +20,7 @@ from peewee import fn, JOIN
from api.db import StatusEnum, TenantPermission
from api.db.db_models import DB, Document, Knowledgebase, User, UserTenant, UserCanvas
from api.db.services.common_service import CommonService
from common.time_utils import current_timestamp, datetime_format
from api.utils import current_timestamp, datetime_format
class KnowledgebaseService(CommonService):
@ -379,7 +379,6 @@ 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)
@ -391,16 +390,14 @@ 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()), total
return list(kbs.dicts())
@classmethod
@DB.connection_context()

View File

@ -20,7 +20,7 @@ import peewee
from api.db.db_models import DB, TenantLangfuse
from api.db.services.common_service import CommonService
from common.time_utils import current_timestamp, datetime_format
from api.utils import current_timestamp, datetime_format
class TenantLangfuseService(CommonService):

View File

@ -59,6 +59,21 @@ def get_init_tenant_llm(user_id):
}
)
if settings.LIGHTEN != 1:
for buildin_embedding_model in settings.BUILTIN_EMBEDDING_MODELS:
mdlnm, fid = TenantLLMService.split_model_name_and_factory(buildin_embedding_model)
tenant_llm.append(
{
"tenant_id": user_id,
"llm_factory": fid,
"llm_name": mdlnm,
"model_type": "embedding",
"api_key": "",
"api_base": "",
"max_tokens": 1024 if buildin_embedding_model == "BAAI/bge-large-zh-v1.5@BAAI" else 512,
}
)
unique = {}
for item in tenant_llm:
key = (item["tenant_id"], item["llm_factory"], item["llm_name"])
@ -190,31 +205,32 @@ 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
allowed_params = set()
for param in sig.parameters.values():
if param.kind == inspect.Parameter.VAR_KEYWORD:
if param.kind == inspect.Parameter.VAR_KEYWORD or param.kind == inspect.Parameter.VAR_POSITIONAL:
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}
elif param.kind == inspect.Parameter.KEYWORD_ONLY:
keyword_args.append(param.name)
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
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, **kwargs)
chat_partial = partial(self.mdl.chat, system, history, gen_conf)
if self.is_tools and self.mdl.is_tools:
chat_partial = partial(self.mdl.chat_with_tools, system, history, gen_conf, **kwargs)
chat_partial = partial(self.mdl.chat_with_tools, system, history, gen_conf)
use_kwargs = self._clean_param(chat_partial, **kwargs)
txt, used_tokens = chat_partial(**use_kwargs)
txt = self._remove_reasoning_content(txt)
@ -250,7 +266,7 @@ class LLMBundle(LLM4Tenant):
break
if txt.endswith("</think>"):
ans = ans[: -len("</think>")]
ans = ans.rstrip("</think>")
if not self.verbose_tool_use:
txt = re.sub(r"<tool_call>.*?</tool_call>", "", txt, flags=re.DOTALL)

View File

@ -33,8 +33,7 @@ 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.

View File

@ -27,8 +27,7 @@ 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 get_uuid
from common.time_utils import current_timestamp, datetime_format
from api.utils import current_timestamp, datetime_format, get_uuid
class PipelineOperationLogService(CommonService):

View File

@ -20,7 +20,7 @@ from peewee import fn
from api.db import StatusEnum
from api.db.db_models import DB, Search, User
from api.db.services.common_service import CommonService
from common.time_utils import current_timestamp, datetime_format
from api.utils import current_timestamp, datetime_format
class SearchService(CommonService):
@ -94,8 +94,7 @@ 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:

View File

@ -27,8 +27,7 @@ from api.db import StatusEnum, FileType, TaskStatus
from api.db.db_models import Task, Document, Knowledgebase, Tenant
from api.db.services.common_service import CommonService
from api.db.services.document_service import DocumentService
from api.utils import get_uuid
from common.time_utils import current_timestamp
from api.utils import current_timestamp, get_uuid
from deepdoc.parser.excel_parser import RAGFlowExcelParser
from rag.settings import get_svr_queue_name
from rag.utils.storage_factory import STORAGE_IMPL
@ -166,7 +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:
@ -206,18 +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),
@ -295,8 +294,8 @@ 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()
else:
@ -344,7 +343,6 @@ 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(),
@ -352,7 +350,7 @@ def queue_tasks(doc: dict, bucket: str, name: str, priority: int):
"progress": 0.0,
"from_page": 0,
"to_page": 100000000,
"begin_at": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
"begin_at": datetime.now(),
}
parse_task_array = []
@ -504,7 +502,7 @@ def queue_dataflow(tenant_id:str, flow_id:str, task_id:str, doc_id:str=CANVAS_DE
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"),
begin_at=datetime.now(),
)
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()
@ -517,7 +515,7 @@ def queue_dataflow(tenant_id:str, flow_id:str, task_id:str, doc_id:str=CANVAS_DE
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."

View File

@ -13,7 +13,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
#
import os
import logging
from langfuse import Langfuse
from api import settings
@ -58,10 +57,8 @@ class TenantLLMService(CommonService):
@classmethod
@DB.connection_context()
def get_my_llms(cls, tenant_id):
fields = [cls.model.llm_factory, LLMFactories.logo, LLMFactories.tags, cls.model.model_type, cls.model.llm_name,
cls.model.used_tokens]
objs = cls.model.select(*fields).join(LLMFactories, on=(cls.model.llm_factory == LLMFactories.name)).where(
cls.model.tenant_id == tenant_id, ~cls.model.api_key.is_null()).dicts()
fields = [cls.model.llm_factory, LLMFactories.logo, LLMFactories.tags, cls.model.model_type, cls.model.llm_name, cls.model.used_tokens]
objs = cls.model.select(*fields).join(LLMFactories, on=(cls.model.llm_factory == LLMFactories.name)).where(cls.model.tenant_id == tenant_id, ~cls.model.api_key.is_null()).dicts()
return list(objs)
@ -113,17 +110,23 @@ class TenantLLMService(CommonService):
model_config = cls.get_api_key(tenant_id, mdlnm)
if model_config:
model_config = model_config.to_dict()
elif llm_type == LLMType.EMBEDDING and fid == 'Builtin' and "tei-" in os.getenv("COMPOSE_PROFILES", "") and mdlnm == os.getenv('TEI_MODEL', ''):
embedding_cfg = settings.EMBEDDING_CFG
model_config = {"llm_factory": 'Builtin', "api_key": embedding_cfg["api_key"], "llm_name": mdlnm, "api_base": embedding_cfg["base_url"]}
else:
raise LookupError(f"Model({mdlnm}@{fid}) not authorized")
llm = LLMService.query(llm_name=mdlnm) if not fid else LLMService.query(llm_name=mdlnm, fid=fid)
if not llm and fid: # for some cases seems fid mismatch
llm = LLMService.query(llm_name=mdlnm)
if llm:
model_config["is_tools"] = llm[0].is_tools
llm = LLMService.query(llm_name=mdlnm) if not fid else LLMService.query(llm_name=mdlnm, fid=fid)
if not llm and fid: # for some cases seems fid mismatch
llm = LLMService.query(llm_name=mdlnm)
if llm:
model_config["is_tools"] = llm[0].is_tools
if not model_config:
if llm_type in [LLMType.EMBEDDING, LLMType.RERANK]:
llm = LLMService.query(llm_name=mdlnm) if not fid else LLMService.query(llm_name=mdlnm, fid=fid)
if llm and llm[0].fid in ["Youdao", "FastEmbed", "BAAI"]:
model_config = {"llm_factory": llm[0].fid, "api_key": "", "llm_name": mdlnm, "api_base": ""}
if not model_config:
if mdlnm == "flag-embedding":
model_config = {"llm_factory": "Tongyi-Qianwen", "api_key": "", "llm_name": llm_name, "api_base": ""}
else:
if not mdlnm:
raise LookupError(f"Type of {llm_type} model is not set.")
raise LookupError("Model({}) not authorized".format(mdlnm))
return model_config
@classmethod
@ -134,33 +137,27 @@ class TenantLLMService(CommonService):
if llm_type == LLMType.EMBEDDING.value:
if model_config["llm_factory"] not in EmbeddingModel:
return
return EmbeddingModel[model_config["llm_factory"]](model_config["api_key"], model_config["llm_name"],
base_url=model_config["api_base"])
return EmbeddingModel[model_config["llm_factory"]](model_config["api_key"], model_config["llm_name"], base_url=model_config["api_base"])
if llm_type == LLMType.RERANK:
if model_config["llm_factory"] not in RerankModel:
return
return RerankModel[model_config["llm_factory"]](model_config["api_key"], model_config["llm_name"],
base_url=model_config["api_base"])
return RerankModel[model_config["llm_factory"]](model_config["api_key"], model_config["llm_name"], base_url=model_config["api_base"])
if llm_type == LLMType.IMAGE2TEXT.value:
if model_config["llm_factory"] not in CvModel:
return
return CvModel[model_config["llm_factory"]](model_config["api_key"], model_config["llm_name"], lang,
base_url=model_config["api_base"], **kwargs)
return CvModel[model_config["llm_factory"]](model_config["api_key"], model_config["llm_name"], lang, base_url=model_config["api_base"], **kwargs)
if llm_type == LLMType.CHAT.value:
if model_config["llm_factory"] not in ChatModel:
return
return ChatModel[model_config["llm_factory"]](model_config["api_key"], model_config["llm_name"],
base_url=model_config["api_base"], **kwargs)
return ChatModel[model_config["llm_factory"]](model_config["api_key"], model_config["llm_name"], base_url=model_config["api_base"], **kwargs)
if llm_type == LLMType.SPEECH2TEXT:
if model_config["llm_factory"] not in Seq2txtModel:
return
return Seq2txtModel[model_config["llm_factory"]](key=model_config["api_key"],
model_name=model_config["llm_name"], lang=lang,
base_url=model_config["api_base"])
return Seq2txtModel[model_config["llm_factory"]](key=model_config["api_key"], model_name=model_config["llm_name"], lang=lang, base_url=model_config["api_base"])
if llm_type == LLMType.TTS:
if model_config["llm_factory"] not in TTSModel:
return
@ -197,14 +194,11 @@ class TenantLLMService(CommonService):
try:
num = (
cls.model.update(used_tokens=cls.model.used_tokens + used_tokens)
.where(cls.model.tenant_id == tenant_id, cls.model.llm_name == llm_name,
cls.model.llm_factory == llm_factory if llm_factory else True)
.where(cls.model.tenant_id == tenant_id, cls.model.llm_name == llm_name, cls.model.llm_factory == llm_factory if llm_factory else True)
.execute()
)
except Exception:
logging.exception(
"TenantLLMService.increase_usage got exception,Failed to update used_tokens for tenant_id=%s, llm_name=%s",
tenant_id, llm_name)
logging.exception("TenantLLMService.increase_usage got exception,Failed to update used_tokens for tenant_id=%s, llm_name=%s", tenant_id, llm_name)
return 0
return num
@ -212,9 +206,7 @@ class TenantLLMService(CommonService):
@classmethod
@DB.connection_context()
def get_openai_models(cls):
objs = cls.model.select().where((cls.model.llm_factory == "OpenAI"),
~(cls.model.llm_name == "text-embedding-3-small"),
~(cls.model.llm_name == "text-embedding-3-large")).dicts()
objs = cls.model.select().where((cls.model.llm_factory == "OpenAI"), ~(cls.model.llm_name == "text-embedding-3-small"), ~(cls.model.llm_name == "text-embedding-3-large")).dicts()
return list(objs)
@classmethod
@ -258,9 +250,8 @@ class LLM4Tenant:
langfuse_keys = TenantLangfuseService.filter_by_tenant(tenant_id=tenant_id)
self.langfuse = None
if langfuse_keys:
langfuse = Langfuse(public_key=langfuse_keys.public_key, secret_key=langfuse_keys.secret_key,
host=langfuse_keys.host)
langfuse = Langfuse(public_key=langfuse_keys.public_key, secret_key=langfuse_keys.secret_key, host=langfuse_keys.host)
if langfuse.auth_check():
self.langfuse = langfuse
trace_id = self.langfuse.create_trace_id()
self.trace_context = {"trace_id": trace_id}
self.trace_context = {"trace_id": trace_id}

View File

@ -2,22 +2,22 @@ from api.db.db_models import UserCanvasVersion, DB
from api.db.services.common_service import CommonService
from peewee import DoesNotExist
class UserCanvasVersionService(CommonService):
model = UserCanvasVersion
@classmethod
@DB.connection_context()
def list_by_canvas_id(cls, user_canvas_id):
try:
user_canvas_version = cls.model.select(
*[cls.model.id,
cls.model.create_time,
cls.model.title,
cls.model.create_date,
cls.model.update_date,
cls.model.user_canvas_id,
cls.model.update_time]
*[cls.model.id,
cls.model.create_time,
cls.model.title,
cls.model.create_date,
cls.model.update_date,
cls.model.user_canvas_id,
cls.model.update_time]
).where(cls.model.user_canvas_id == user_canvas_id)
return user_canvas_version
except DoesNotExist:
@ -46,16 +46,18 @@ class UserCanvasVersionService(CommonService):
@DB.connection_context()
def delete_all_versions(cls, user_canvas_id):
try:
user_canvas_version = cls.model.select().where(cls.model.user_canvas_id == user_canvas_id).order_by(
cls.model.create_time.desc())
user_canvas_version = cls.model.select().where(cls.model.user_canvas_id == user_canvas_id).order_by(cls.model.create_time.desc())
if user_canvas_version.count() > 20:
delete_ids = []
for i in range(20, user_canvas_version.count()):
delete_ids.append(user_canvas_version[i].id)
cls.delete_by_ids(delete_ids)
return True
except DoesNotExist:
return None
except Exception:
return None

View File

@ -24,8 +24,7 @@ from api.db import UserTenantRole
from api.db.db_models import DB, UserTenant
from api.db.db_models import User, Tenant
from api.db.services.common_service import CommonService
from api.utils import get_uuid
from common.time_utils import current_timestamp, datetime_format
from api.utils import get_uuid, current_timestamp, datetime_format
from api.db import StatusEnum
from rag.settings import MINIO
@ -316,4 +315,4 @@ class UserTenantService(CommonService):
).first()
return user_tenant
except peewee.DoesNotExist:
return None
return None

View File

@ -28,6 +28,8 @@ from api.utils.configs import decrypt_database_config, get_base_config
from api.utils.file_utils import get_project_base_directory
from rag.nlp import search
LIGHTEN = int(os.environ.get("LIGHTEN", "0"))
LLM = None
LLM_FACTORY = None
LLM_BASE_URL = None
@ -63,8 +65,8 @@ OAUTH_CONFIG = None
DOC_ENGINE = None
docStoreConn = None
retriever = None
kg_retriever = None
retrievaler = None
kg_retrievaler = None
# user registration switch
REGISTER_ENABLED = 1
@ -75,6 +77,8 @@ SANDBOX_ENABLED = 0
SANDBOX_HOST = None
STRONG_TEST_COUNT = int(os.environ.get("STRONG_TEST_COUNT", "8"))
BUILTIN_EMBEDDING_MODELS = ["BAAI/bge-large-zh-v1.5@BAAI", "maidalun1020/bce-embedding-base_v1@Youdao"]
SMTP_CONF = None
MAIL_SERVER = ""
MAIL_PORT = 000
@ -105,7 +109,8 @@ def get_or_create_secret_key():
def init_settings():
global LLM, LLM_FACTORY, LLM_BASE_URL, DATABASE_TYPE, DATABASE, FACTORY_LLM_INFOS, REGISTER_ENABLED
global LLM, LLM_FACTORY, LLM_BASE_URL, LIGHTEN, DATABASE_TYPE, DATABASE, FACTORY_LLM_INFOS, REGISTER_ENABLED
LIGHTEN = int(os.environ.get("LIGHTEN", "0"))
DATABASE_TYPE = os.getenv("DB_TYPE", "mysql")
DATABASE = decrypt_database_config(name=DATABASE_TYPE)
LLM = get_base_config("user_default_llm", {}) or {}
@ -125,6 +130,8 @@ def init_settings():
global CHAT_MDL, EMBEDDING_MDL, RERANK_MDL, ASR_MDL, IMAGE2TEXT_MDL
global CHAT_CFG, EMBEDDING_CFG, RERANK_CFG, ASR_CFG, IMAGE2TEXT_CFG
if not LIGHTEN:
EMBEDDING_MDL = BUILTIN_EMBEDDING_MODELS[0]
global API_KEY, PARSERS, HOST_IP, HOST_PORT, SECRET_KEY
API_KEY = LLM.get("api_key")
@ -145,7 +152,7 @@ def init_settings():
IMAGE2TEXT_CFG = _resolve_per_model_config(image2text_entry, LLM_FACTORY, API_KEY, LLM_BASE_URL)
CHAT_MDL = CHAT_CFG.get("model", "") or ""
EMBEDDING_MDL = os.getenv("TEI_MODEL", "BAAI/bge-small-en-v1.5") if "tei-" in os.getenv("COMPOSE_PROFILES", "") else ""
EMBEDDING_MDL = EMBEDDING_CFG.get("model", "") or ""
RERANK_MDL = RERANK_CFG.get("model", "") or ""
ASR_MDL = ASR_CFG.get("model", "") or ""
IMAGE2TEXT_MDL = IMAGE2TEXT_CFG.get("model", "") or ""
@ -167,7 +174,7 @@ def init_settings():
OAUTH_CONFIG = get_base_config("oauth", {})
global DOC_ENGINE, docStoreConn, retriever, kg_retriever
global DOC_ENGINE, docStoreConn, retrievaler, kg_retrievaler
DOC_ENGINE = os.environ.get("DOC_ENGINE", "elasticsearch")
# DOC_ENGINE = os.environ.get('DOC_ENGINE', "opensearch")
lower_case_doc_engine = DOC_ENGINE.lower()
@ -180,10 +187,10 @@ def init_settings():
else:
raise Exception(f"Not supported doc engine: {DOC_ENGINE}")
retriever = search.Dealer(docStoreConn)
retrievaler = search.Dealer(docStoreConn)
from graphrag import search as kg_search
kg_retriever = kg_search.KGSearch(docStoreConn)
kg_retrievaler = kg_search.KGSearch(docStoreConn)
if int(os.environ.get("SANDBOX_ENABLED", "0")):
global SANDBOX_HOST

View File

@ -14,9 +14,11 @@
# limitations under the License.
#
import base64
import datetime
import hashlib
import os
import socket
import time
import uuid
import requests
@ -24,6 +26,26 @@ import importlib
from .common import string_to_bytes
def current_timestamp():
return int(time.time() * 1000)
def timestamp_to_date(timestamp, format_string="%Y-%m-%d %H:%M:%S"):
if not timestamp:
timestamp = time.time()
timestamp = int(timestamp) / 1000
time_array = time.localtime(timestamp)
str_date = time.strftime(format_string, time_array)
return str_date
def date_string_to_timestamp(time_str, format_string="%Y-%m-%d %H:%M:%S"):
time_array = time.strptime(time_str, format_string)
time_stamp = int(time.mktime(time_array) * 1000)
return time_stamp
def get_lan_ip():
if os.name != "nt":
import fcntl
@ -72,6 +94,26 @@ def get_uuid():
return uuid.uuid1().hex
def datetime_format(date_time: datetime.datetime) -> datetime.datetime:
return datetime.datetime(date_time.year, date_time.month, date_time.day,
date_time.hour, date_time.minute, date_time.second)
def get_format_time() -> datetime.datetime:
return datetime_format(datetime.datetime.now())
def str2date(date_time: str):
return datetime.datetime.strptime(date_time, '%Y-%m-%d')
def elapsed2time(elapsed):
seconds = elapsed / 1000
minuter, second = divmod(seconds, 60)
hour, minuter = divmod(minuter, 60)
return '%02d:%02d:%02d' % (hour, minuter, second)
def download_img(url):
if not url:
return ""
@ -81,5 +123,10 @@ def download_img(url):
"base64," + base64.b64encode(response.content).decode("utf-8")
def delta_seconds(date_string: str):
dt = datetime.datetime.strptime(date_string, "%Y-%m-%d %H:%M:%S")
return (datetime.datetime.now() - dt).total_seconds()
def hash_str2int(line: str, mod: int = 10 ** 8) -> int:
return int(hashlib.sha1(line.encode("utf-8")).hexdigest(), 16) % mod

View File

@ -51,13 +51,15 @@ from api import settings
from api.constants import REQUEST_MAX_WAIT_SEC, REQUEST_WAIT_SEC
from api.db import ActiveEnum
from api.db.db_models import APIToken
from api.db.services import UserService
from api.db.services.llm_service import LLMService
from api.db.services.tenant_llm_service import TenantLLMService
from api.utils.json import CustomJSONEncoder, json_dumps
from api.utils import get_uuid
from rag.utils.mcp_tool_call_conn import MCPToolCallSession, close_multiple_mcp_toolcall_sessions
requests.models.complexjson.dumps = functools.partial(json.dumps, cls=CustomJSONEncoder)
def serialize_for_json(obj):
"""
Recursively serialize objects to make them JSON serializable.
@ -66,8 +68,8 @@ def serialize_for_json(obj):
if hasattr(obj, '__dict__'):
# For objects with __dict__, try to serialize their attributes
try:
return {key: serialize_for_json(value) for key, value in obj.__dict__.items()
if not key.startswith('_')}
return {key: serialize_for_json(value) for key, value in obj.__dict__.items()
if not key.startswith('_')}
except (AttributeError, TypeError):
return str(obj)
elif hasattr(obj, '__name__'):
@ -83,7 +85,6 @@ def serialize_for_json(obj):
# Fallback: convert to string representation
return str(obj)
def request(**kwargs):
sess = requests.Session()
stream = kwargs.pop("stream", sess.stream)
@ -104,8 +105,7 @@ def request(**kwargs):
settings.HTTP_APP_KEY.encode("ascii"),
prepped.path_url.encode("ascii"),
prepped.body if kwargs.get("json") else b"",
urlencode(sorted(kwargs["data"].items()), quote_via=quote, safe="-._~").encode(
"ascii") if kwargs.get("data") and isinstance(kwargs["data"], dict) else b"",
urlencode(sorted(kwargs["data"].items()), quote_via=quote, safe="-._~").encode("ascii") if kwargs.get("data") and isinstance(kwargs["data"], dict) else b"",
]
),
"sha1",
@ -127,7 +127,7 @@ def request(**kwargs):
def get_exponential_backoff_interval(retries, full_jitter=False):
"""Calculate the exponential backoff wait time."""
# Will be zero if factor equals 0
countdown = min(REQUEST_MAX_WAIT_SEC, REQUEST_WAIT_SEC * (2 ** retries))
countdown = min(REQUEST_MAX_WAIT_SEC, REQUEST_WAIT_SEC * (2**retries))
# Full jitter according to
# https://aws.amazon.com/blogs/architecture/exponential-backoff-and-jitter/
if full_jitter:
@ -151,21 +151,18 @@ def get_data_error_result(code=settings.RetCode.DATA_ERROR, message="Sorry! Data
def server_error_response(e):
logging.exception(e)
try:
msg = repr(e).lower()
if getattr(e, "code", None) == 401 or ("unauthorized" in msg) or ("401" in msg):
return get_json_result(code=settings.RetCode.UNAUTHORIZED, message=repr(e))
except Exception as ex:
logging.warning(f"error checking authorization: {ex}")
if e.code == 401:
return get_json_result(code=401, message=repr(e))
except BaseException:
pass
if len(e.args) > 1:
try:
serialized_data = serialize_for_json(e.args[1])
return get_json_result(code=settings.RetCode.EXCEPTION_ERROR, message=repr(e.args[0]), data=serialized_data)
return get_json_result(code= settings.RetCode.EXCEPTION_ERROR, message=repr(e.args[0]), data=serialized_data)
except Exception:
return get_json_result(code=settings.RetCode.EXCEPTION_ERROR, message=repr(e.args[0]), data=None)
if repr(e).find("index_not_found_exception") >= 0:
return get_json_result(code=settings.RetCode.EXCEPTION_ERROR,
message="No chunk found, please upload file and parse it.")
return get_json_result(code=settings.RetCode.EXCEPTION_ERROR, message="No chunk found, please upload file and parse it.")
return get_json_result(code=settings.RetCode.EXCEPTION_ERROR, message=repr(e))
@ -210,8 +207,7 @@ def validate_request(*args, **kwargs):
if no_arguments:
error_string += "required argument are missing: {}; ".format(",".join(no_arguments))
if error_arguments:
error_string += "required argument values: {}".format(
",".join(["{}={}".format(a[0], a[1]) for a in error_arguments]))
error_string += "required argument values: {}".format(",".join(["{}={}".format(a[0], a[1]) for a in error_arguments]))
return get_json_result(code=settings.RetCode.ARGUMENT_ERROR, message=error_string)
return func(*_args, **_kwargs)
@ -226,8 +222,7 @@ def not_allowed_parameters(*params):
input_arguments = flask_request.json or flask_request.form.to_dict()
for param in params:
if param in input_arguments:
return get_json_result(code=settings.RetCode.ARGUMENT_ERROR,
message=f"Parameter {param} isn't allowed")
return get_json_result(code=settings.RetCode.ARGUMENT_ERROR, message=f"Parameter {param} isn't allowed")
return f(*args, **kwargs)
return wrapper
@ -238,14 +233,12 @@ def not_allowed_parameters(*params):
def active_required(f):
@wraps(f)
def wrapper(*args, **kwargs):
from api.db.services import UserService
user_id = current_user.id
usr = UserService.filter_by_id(user_id)
# check is_active
if not usr or not usr.is_active == ActiveEnum.ACTIVE.value:
return get_json_result(code=settings.RetCode.FORBIDDEN, message="User isn't active, please activate first.")
return f(*args, **kwargs)
return wrapper
@ -266,7 +259,7 @@ def send_file_in_mem(data, filename):
return send_file(f, as_attachment=True, attachment_filename=filename)
def get_json_result(code: settings.RetCode = settings.RetCode.SUCCESS, message="success", data=None):
def get_json_result(code=settings.RetCode.SUCCESS, message="success", data=None):
response = {"code": code, "message": message, "data": data}
return jsonify(response)
@ -321,7 +314,7 @@ def construct_result(code=settings.RetCode.DATA_ERROR, message="data is missing"
return jsonify(response)
def construct_json_result(code: settings.RetCode = settings.RetCode.SUCCESS, message="success", data=None):
def construct_json_result(code=settings.RetCode.SUCCESS, message="success", data=None):
if data is None:
return jsonify({"code": code, "message": message})
else:
@ -354,39 +347,27 @@ def token_required(func):
token = authorization_list[1]
objs = APIToken.query(token=token)
if not objs:
return get_json_result(data=False, message="Authentication error: API key is invalid!",
code=settings.RetCode.AUTHENTICATION_ERROR)
return get_json_result(data=False, message="Authentication error: API key is invalid!", code=settings.RetCode.AUTHENTICATION_ERROR)
kwargs["tenant_id"] = objs[0].tenant_id
return func(*args, **kwargs)
return decorated_function
def get_result(code=settings.RetCode.SUCCESS, message="", data=None, total=None):
"""
Standard API response format:
{
"code": 0,
"data": [...], # List or object, backward compatible
"total": 47, # Optional field for pagination
"message": "..." # Error or status message
}
"""
response = {"code": code}
if code == settings.RetCode.SUCCESS:
def get_result(code=settings.RetCode.SUCCESS, message="", data=None):
if code == 0:
if data is not None:
response["data"] = data
if total is not None:
response["total_datasets"] = total
response = {"code": code, "data": data}
else:
response = {"code": code}
else:
response["message"] = message or "Error"
response = {"code": code, "message": message}
return jsonify(response)
def get_error_data_result(
message="Sorry! Data missing!",
code=settings.RetCode.DATA_ERROR,
message="Sorry! Data missing!",
code=settings.RetCode.DATA_ERROR,
):
result_dict = {"code": code, "message": message}
response = {}
@ -421,8 +402,7 @@ def get_parser_config(chunk_method, parser_config):
# Define default configurations for each chunking method
key_mapping = {
"naive": {"chunk_token_num": 512, "delimiter": r"\n", "html4excel": False, "layout_recognize": "DeepDOC",
"raptor": {"use_raptor": False}, "graphrag": {"use_graphrag": False}},
"naive": {"chunk_token_num": 512, "delimiter": r"\n", "html4excel": False, "layout_recognize": "DeepDOC", "raptor": {"use_raptor": False}, "graphrag": {"use_graphrag": False}},
"qa": {"raptor": {"use_raptor": False}, "graphrag": {"use_graphrag": False}},
"tag": None,
"resume": None,
@ -461,16 +441,16 @@ def get_parser_config(chunk_method, parser_config):
def get_data_openai(
id=None,
created=None,
model=None,
prompt_tokens=0,
completion_tokens=0,
content=None,
finish_reason=None,
object="chat.completion",
param=None,
stream=False
id=None,
created=None,
model=None,
prompt_tokens=0,
completion_tokens=0,
content=None,
finish_reason=None,
object="chat.completion",
param=None,
stream=False
):
total_tokens = prompt_tokens + completion_tokens
@ -544,8 +524,6 @@ def check_duplicate_ids(ids, id_type="item"):
def verify_embedding_availability(embd_id: str, tenant_id: str) -> tuple[bool, Response | None]:
from api.db.services.llm_service import LLMService
from api.db.services.tenant_llm_service import TenantLLMService
"""
Verifies availability of an embedding model for a specific tenant.
@ -584,11 +562,9 @@ def verify_embedding_availability(embd_id: str, tenant_id: str) -> tuple[bool, R
in_llm_service = bool(LLMService.query(llm_name=llm_name, fid=llm_factory, model_type="embedding"))
tenant_llms = TenantLLMService.get_my_llms(tenant_id=tenant_id)
is_tenant_model = any(
llm["llm_name"] == llm_name and llm["llm_factory"] == llm_factory and llm["model_type"] == "embedding" for
llm in tenant_llms)
is_tenant_model = any(llm["llm_name"] == llm_name and llm["llm_factory"] == llm_factory and llm["model_type"] == "embedding" for llm in tenant_llms)
is_builtin_model = llm_factory=='Builtin'
is_builtin_model = embd_id in settings.BUILTIN_EMBEDDING_MODELS
if not (is_builtin_model or is_tenant_model or in_llm_service):
return False, get_error_argument_result(f"Unsupported model: <{embd_id}>")
@ -817,9 +793,7 @@ async def is_strong_enough(chat_model, embedding_model):
_ = await trio.to_thread.run_sync(lambda: embedding_model.encode(["Are you strong enough!?"]))
if chat_model:
with trio.fail_after(30):
res = await trio.to_thread.run_sync(lambda: chat_model.chat("Nothing special.", [{"role": "user",
"content": "Are you strong enough!?"}],
{}))
res = await trio.to_thread.run_sync(lambda: chat_model.chat("Nothing special.", [{"role": "user", "content": "Are you strong enough!?"}], {}))
if res.find("**ERROR**") >= 0:
raise Exception(res)

View File

@ -14,12 +14,6 @@
# limitations under the License.
#
import threading
import subprocess
import sys
import os
import logging
def string_to_bytes(string):
return string if isinstance(
string, bytes) else string.encode(encoding="utf-8")
@ -27,71 +21,3 @@ def string_to_bytes(string):
def bytes_to_string(byte):
return byte.decode(encoding="utf-8")
def convert_bytes(size_in_bytes: int) -> str:
"""
Format size in bytes.
"""
if size_in_bytes == 0:
return "0 B"
units = ['B', 'KB', 'MB', 'GB', 'TB', 'PB']
i = 0
size = float(size_in_bytes)
while size >= 1024 and i < len(units) - 1:
size /= 1024
i += 1
if i == 0 or size >= 100:
return f"{size:.0f} {units[i]}"
elif size >= 10:
return f"{size:.1f} {units[i]}"
else:
return f"{size:.2f} {units[i]}"
def once(func):
"""
A thread-safe decorator that ensures the decorated function runs exactly once,
caching and returning its result for all subsequent calls. This prevents
race conditions in multi-threaded environments by using a lock to protect
the execution state.
Args:
func (callable): The function to be executed only once.
Returns:
callable: A wrapper function that executes `func` on the first call
and returns the cached result thereafter.
Example:
@once
def compute_expensive_value():
print("Computing...")
return 42
# First call: executes and prints
# Subsequent calls: return 42 without executing
"""
executed = False
result = None
lock = threading.Lock()
def wrapper(*args, **kwargs):
nonlocal executed, result
with lock:
if not executed:
executed = True
result = func(*args, **kwargs)
return result
return wrapper
@once
def pip_install_torch():
device = os.getenv("DEVICE", "cpu")
if device=="cpu":
return
logging.info("Installing pytorch")
pkg_names = ["torch>=2.5.0,<3.0.0"]
subprocess.check_call([sys.executable, "-m", "pip", "install", *pkg_names])

View File

@ -1,25 +0,0 @@
"""
Reusable HTML email templates and registry.
"""
# Invitation email template
INVITE_EMAIL_TMPL = """
<p>Hi {{email}},</p>
<p>{{inviter}} has invited you to join their team (ID: {{tenant_id}}).</p>
<p>Click the link below to complete your registration:<br>
<a href="{{invite_url}}">{{invite_url}}</a></p>
<p>If you did not request this, please ignore this email.</p>
"""
# Password reset code template
RESET_CODE_EMAIL_TMPL = """
<p>Hello,</p>
<p>Your password reset code is: <b>{{ code }}</b></p>
<p>This code will expire in {{ ttl_min }} minutes.</p>
"""
# Template registry
EMAIL_TEMPLATES = {
"invite": INVITE_EMAIL_TMPL,
"reset_code": RESET_CODE_EMAIL_TMPL,
}

View File

@ -13,12 +13,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Standard library imports
import base64
import hashlib
import io
import json
import os
import re
@ -27,20 +22,13 @@ import subprocess
import sys
import tempfile
import threading
import zipfile
from io import BytesIO
# Typing
from typing import List, Union, Tuple
# Third-party imports
import olefile
import pdfplumber
from cachetools import LRUCache, cached
from PIL import Image
from ruamel.yaml import YAML
# Local imports
from api.constants import IMG_BASE64_PREFIX
from api.db import FileType
@ -173,7 +161,7 @@ def filename_type(filename):
if re.match(r".*\.(wav|flac|ape|alac|wavpack|wv|mp3|aac|ogg|vorbis|opus)$", filename):
return FileType.AURAL.value
if re.match(r".*\.(jpg|jpeg|png|tif|gif|pcx|tga|exif|fpx|svg|psd|cdr|pcd|dxf|ufo|eps|ai|raw|WMF|webp|avif|apng|icon|ico|mpg|mpeg|avi|rm|rmvb|mov|wmv|asf|dat|asx|wvx|mpe|mpa|mp4|avi|mkv)$", filename):
if re.match(r".*\.(jpg|jpeg|png|tif|gif|pcx|tga|exif|fpx|svg|psd|cdr|pcd|dxf|ufo|eps|ai|raw|WMF|webp|avif|apng|icon|ico|mpg|mpeg|avi|rm|rmvb|mov|wmv|asf|dat|asx|wvx|mpe|mpa|mp4)$", filename):
return FileType.VISUAL.value
return FileType.OTHER.value
@ -296,125 +284,3 @@ def read_potential_broken_pdf(blob):
return repaired
return blob
def _is_zip(h: bytes) -> bool:
return h.startswith(b"PK\x03\x04") or h.startswith(b"PK\x05\x06") or h.startswith(b"PK\x07\x08")
def _is_pdf(h: bytes) -> bool:
return h.startswith(b"%PDF-")
def _is_ole(h: bytes) -> bool:
return h.startswith(b"\xD0\xCF\x11\xE0\xA1\xB1\x1A\xE1")
def _sha10(b: bytes) -> str:
return hashlib.sha256(b).hexdigest()[:10]
def _guess_ext(b: bytes) -> str:
h = b[:8]
if _is_zip(h):
try:
with zipfile.ZipFile(io.BytesIO(b), "r") as z:
names = [n.lower() for n in z.namelist()]
if any(n.startswith("word/") for n in names):
return ".docx"
if any(n.startswith("ppt/") for n in names):
return ".pptx"
if any(n.startswith("xl/") for n in names):
return ".xlsx"
except Exception:
pass
return ".zip"
if _is_pdf(h):
return ".pdf"
if _is_ole(h):
return ".doc"
return ".bin"
# Try to extract the real embedded payload from OLE's Ole10Native
def _extract_ole10native_payload(data: bytes) -> bytes:
try:
pos = 0
if len(data) < 4:
return data
_ = int.from_bytes(data[pos:pos+4], "little")
pos += 4
# filename/src/tmp (NUL-terminated ANSI)
for _ in range(3):
z = data.index(b"\x00", pos)
pos = z + 1
# skip unknown 4 bytes
pos += 4
if pos + 4 > len(data):
return data
size = int.from_bytes(data[pos:pos+4], "little")
pos += 4
if pos + size <= len(data):
return data[pos:pos+size]
except Exception:
pass
return data
def extract_embed_file(target: Union[bytes, bytearray]) -> List[Tuple[str, bytes]]:
"""
Only extract the 'first layer' of embedding, returning raw (filename, bytes).
"""
top = bytes(target)
head = top[:8]
out: List[Tuple[str, bytes]] = []
seen = set()
def push(b: bytes, name_hint: str = ""):
h10 = _sha10(b)
if h10 in seen:
return
seen.add(h10)
ext = _guess_ext(b)
# If name_hint has an extension use its basename; else fallback to guessed ext
if "." in name_hint:
fname = name_hint.split("/")[-1]
else:
fname = f"{h10}{ext}"
out.append((fname, b))
# OOXML/ZIP container (docx/xlsx/pptx)
if _is_zip(head):
try:
with zipfile.ZipFile(io.BytesIO(top), "r") as z:
embed_dirs = (
"word/embeddings/", "word/objects/", "word/activex/",
"xl/embeddings/", "ppt/embeddings/"
)
for name in z.namelist():
low = name.lower()
if any(low.startswith(d) for d in embed_dirs):
try:
b = z.read(name)
push(b, name)
except Exception:
pass
except Exception:
pass
return out
# OLE container (doc/ppt/xls)
if _is_ole(head):
try:
with olefile.OleFileIO(io.BytesIO(top)) as ole:
for entry in ole.listdir():
p = "/".join(entry)
try:
data = ole.openstream(entry).read()
except Exception:
continue
if not data:
continue
if "Ole10Native" in p or "ole10native" in p.lower():
data = _extract_ole10native_payload(data)
push(data, p)
except Exception:
pass
return out
return out

View File

@ -13,17 +13,14 @@
# See the License for the specific language governing permissions and
# limitations under the License.
#
import os
import requests
from timeit import default_timer as timer
from api import settings
from api.db.db_models import DB
from rag import settings as rag_settings
from rag.utils.redis_conn import REDIS_CONN
from rag.utils.storage_factory import STORAGE_IMPL
from rag.utils.es_conn import ESConnection
from rag.utils.infinity_conn import InfinityConnection
def _ok_nok(ok: bool) -> str:
@ -68,96 +65,6 @@ def check_storage() -> tuple[bool, dict]:
return False, {"elapsed": f"{(timer() - st) * 1000.0:.1f}", "error": str(e)}
def get_es_cluster_stats() -> dict:
doc_engine = os.getenv('DOC_ENGINE', 'elasticsearch')
if doc_engine != 'elasticsearch':
raise Exception("Elasticsearch is not in use.")
try:
return {
"status": "alive",
"message": ESConnection().get_cluster_stats()
}
except Exception as e:
return {
"status": "timeout",
"message": f"error: {str(e)}",
}
def get_infinity_status():
doc_engine = os.getenv('DOC_ENGINE', 'elasticsearch')
if doc_engine != 'infinity':
raise Exception("Infinity is not in use.")
try:
return {
"status": "alive",
"message": InfinityConnection().health()
}
except Exception as e:
return {
"status": "timeout",
"message": f"error: {str(e)}",
}
def get_mysql_status():
try:
cursor = DB.execute_sql("SHOW PROCESSLIST;")
res_rows = cursor.fetchall()
headers = ['id', 'user', 'host', 'db', 'command', 'time', 'state', 'info']
cursor.close()
return {
"status": "alive",
"message": [dict(zip(headers, r)) for r in res_rows]
}
except Exception as e:
return {
"status": "timeout",
"message": f"error: {str(e)}",
}
def check_minio_alive():
start_time = timer()
try:
response = requests.get(f'http://{rag_settings.MINIO["host"]}/minio/health/live')
if response.status_code == 200:
return {"status": "alive", "message": f"Confirm elapsed: {(timer() - start_time) * 1000.0:.1f} ms."}
else:
return {"status": "timeout", "message": f"Confirm elapsed: {(timer() - start_time) * 1000.0:.1f} ms."}
except Exception as e:
return {
"status": "timeout",
"message": f"error: {str(e)}",
}
def get_redis_info():
try:
return {
"status": "alive",
"message": REDIS_CONN.info()
}
except Exception as e:
return {
"status": "timeout",
"message": f"error: {str(e)}",
}
def check_ragflow_server_alive():
start_time = timer()
try:
response = requests.get(f'http://{settings.HOST_IP}:{settings.HOST_PORT}/v1/system/ping')
if response.status_code == 200:
return {"status": "alive", "message": f"Confirm elapsed: {(timer() - start_time) * 1000.0:.1f} ms."}
else:
return {"status": "timeout", "message": f"Confirm elapsed: {(timer() - start_time) * 1000.0:.1f} ms."}
except Exception as e:
return {
"status": "timeout",
"message": f"error: {str(e)}",
}
def run_health_checks() -> tuple[dict, bool]:
@ -192,7 +99,9 @@ def run_health_checks() -> tuple[dict, bool]:
except Exception:
result["storage"] = "nok"
all_ok = (result.get("db") == "ok") and (result.get("redis") == "ok") and (result.get("doc_engine") == "ok") and (
result.get("storage") == "ok")
all_ok = (result.get("db") == "ok") and (result.get("redis") == "ok") and (result.get("doc_engine") == "ok") and (result.get("storage") == "ok")
result["status"] = "ok" if all_ok else "nok"
return result, all_ok

View File

@ -24,7 +24,6 @@ from urllib.parse import urlparse
from api.apps import smtp_mail_server
from flask_mail import Message
from flask import render_template_string
from api.utils.email_templates import EMAIL_TEMPLATES
from selenium import webdriver
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.chrome.options import Options
@ -35,12 +34,6 @@ from selenium.webdriver.support.ui import WebDriverWait
from webdriver_manager.chrome import ChromeDriverManager
OTP_LENGTH = 8
OTP_TTL_SECONDS = 5 * 60
ATTEMPT_LIMIT = 5
ATTEMPT_LOCK_SECONDS = 30 * 60
RESEND_COOLDOWN_SECONDS = 60
CONTENT_TYPE_MAP = {
# Office
@ -185,49 +178,24 @@ def get_float(req: dict, key: str, default: float | int = 10.0) -> float:
return default
def send_email_html(subject: str, to_email: str, template_key: str, **context):
"""Generic HTML email sender using shared templates.
template_key must exist in EMAIL_TEMPLATES.
"""
from api.apps import app
tmpl = EMAIL_TEMPLATES.get(template_key)
if not tmpl:
raise ValueError(f"Unknown email template: {template_key}")
with app.app_context():
msg = Message(subject=subject, recipients=[to_email])
msg.html = render_template_string(tmpl, **context)
smtp_mail_server.send(msg)
INVITE_EMAIL_TMPL = """
<p>Hi {{email}},</p>
<p>{{inviter}} has invited you to join their team (ID: {{tenant_id}}).</p>
<p>Click the link below to complete your registration:<br>
<a href="{{invite_url}}">{{invite_url}}</a></p>
<p>If you did not request this, please ignore this email.</p>
"""
def send_invite_email(to_email, invite_url, tenant_id, inviter):
# Reuse the generic HTML sender with 'invite' template
send_email_html(
subject="RAGFlow Invitation",
to_email=to_email,
template_key="invite",
email=to_email,
invite_url=invite_url,
tenant_id=tenant_id,
inviter=inviter,
)
def otp_keys(email: str):
email = (email or "").strip().lower()
return (
f"otp:{email}",
f"otp_attempts:{email}",
f"otp_last_sent:{email}",
f"otp_lock:{email}",
)
def hash_code(code: str, salt: bytes) -> str:
import hashlib
import hmac
return hmac.new(salt, (code or "").encode("utf-8"), hashlib.sha256).hexdigest()
def captcha_key(email: str) -> str:
return f"captcha:{email}"
from api.apps import app
with app.app_context():
msg = Message(subject="RAGFlow Invitation",
recipients=[to_email])
msg.html = render_template_string(
INVITE_EMAIL_TMPL,
email=to_email,
invite_url=invite_url,
tenant_id=tenant_id,
inviter=inviter,
)
smtp_mail_server.send(msg)

View File

@ -34,6 +34,8 @@ def get_ragflow_version() -> str:
RAGFLOW_VERSION_INFO = f.read().strip()
else:
RAGFLOW_VERSION_INFO = get_closest_tag_and_count()
LIGHTEN = int(os.environ.get("LIGHTEN", "0"))
RAGFLOW_VERSION_INFO += " slim" if LIGHTEN == 1 else " full"
return RAGFLOW_VERSION_INFO

View File

@ -1,46 +0,0 @@
#
# 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.
#
def get_float(v):
"""
Convert a value to float, handling None and exceptions gracefully.
Attempts to convert the input value to a float. If the value is None or
cannot be converted to float, returns negative infinity as a default value.
Args:
v: The value to convert to float. Can be any type that float() accepts,
or None.
Returns:
float: The converted float value if successful, otherwise float('-inf').
Examples:
>>> get_float("3.14")
3.14
>>> get_float(None)
-inf
>>> get_float("invalid")
-inf
>>> get_float(42)
42.0
"""
if v is None:
return float('-inf')
try:
return float(v)
except Exception:
return float('-inf')

View File

@ -1,73 +0,0 @@
#
# 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
def remove_redundant_spaces(txt: str):
"""
Remove redundant spaces around punctuation marks while preserving meaningful spaces.
This function performs two main operations:
1. Remove spaces after left-boundary characters (opening brackets, etc.)
2. Remove spaces before right-boundary characters (closing brackets, punctuation, etc.)
Args:
txt (str): Input text to process
Returns:
str: Text with redundant spaces removed
"""
# First pass: Remove spaces after left-boundary characters
# Matches: [non-alphanumeric-and-specific-right-punctuation] + [non-space]
# Removes spaces after characters like '(', '<', and other non-alphanumeric chars
# Examples:
# "( test" → "(test"
txt = re.sub(r"([^a-z0-9.,\)>]) +([^ ])", r"\1\2", txt, flags=re.IGNORECASE)
# Second pass: Remove spaces before right-boundary characters
# Matches: [non-space] + [non-alphanumeric-and-specific-left-punctuation]
# Removes spaces before characters like non-')', non-',', non-'.', and non-alphanumeric chars
# Examples:
# "world !" → "world!"
return re.sub(r"([^ ]) +([^a-z0-9.,\(<])", r"\1\2", txt, flags=re.IGNORECASE)
def clean_markdown_block(text):
"""
Remove Markdown code block syntax from the beginning and end of text.
This function cleans Markdown code blocks by removing:
- Opening ```Markdown tags (with optional whitespace and newlines)
- Closing ``` tags (with optional whitespace and newlines)
Args:
text (str): Input text that may be wrapped in Markdown code blocks
Returns:
str: Cleaned text with Markdown code block syntax removed, and stripped of surrounding whitespace
"""
# Remove opening ```markdown tag with optional whitespace and newlines
# Matches: optional whitespace + ```markdown + optional whitespace + optional newline
text = re.sub(r'^\s*```markdown\s*\n?', '', text)
# Remove closing ``` tag with optional whitespace and newlines
# Matches: optional newline + optional whitespace + ``` + optional whitespace at end
text = re.sub(r'\n?\s*```\s*$', '', text)
# Return text with surrounding whitespace removed
return text.strip()

View File

@ -1,126 +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 datetime
import time
def current_timestamp():
"""
Get the current timestamp in milliseconds.
Returns:
int: Current Unix timestamp in milliseconds (13 digits)
Example:
>>> current_timestamp()
1704067200000
"""
return int(time.time() * 1000)
def timestamp_to_date(timestamp, format_string="%Y-%m-%d %H:%M:%S"):
"""
Convert a timestamp to formatted date string.
Args:
timestamp: Unix timestamp in milliseconds. If None or empty, uses current time.
format_string: Format string for the output date (default: "%Y-%m-%d %H:%M:%S")
Returns:
str: Formatted date string
Example:
>>> timestamp_to_date(1704067200000)
'2024-01-01 08:00:00'
"""
if not timestamp:
timestamp = time.time()
timestamp = int(timestamp) / 1000
time_array = time.localtime(timestamp)
str_date = time.strftime(format_string, time_array)
return str_date
def date_string_to_timestamp(time_str, format_string="%Y-%m-%d %H:%M:%S"):
"""
Convert a date string to timestamp in milliseconds.
Args:
time_str: Date string to convert
format_string: Format of the input date string (default: "%Y-%m-%d %H:%M:%S")
Returns:
int: Unix timestamp in milliseconds
Example:
>>> date_string_to_timestamp("2024-01-01 00:00:00")
1704067200000
"""
time_array = time.strptime(time_str, format_string)
time_stamp = int(time.mktime(time_array) * 1000)
return time_stamp
def datetime_format(date_time: datetime.datetime) -> datetime.datetime:
"""
Normalize a datetime object by removing microsecond component.
Creates a new datetime object with only year, month, day, hour, minute, second.
Microseconds are set to 0.
Args:
date_time: datetime object to normalize
Returns:
datetime.datetime: New datetime object without microseconds
Example:
>>> dt = datetime.datetime(2024, 1, 1, 12, 30, 45, 123456)
>>> datetime_format(dt)
datetime.datetime(2024, 1, 1, 12, 30, 45)
"""
return datetime.datetime(date_time.year, date_time.month, date_time.day,
date_time.hour, date_time.minute, date_time.second)
def get_format_time() -> datetime.datetime:
"""
Get current datetime normalized without microseconds.
Returns:
datetime.datetime: Current datetime with microseconds set to 0
Example:
>>> get_format_time()
datetime.datetime(2024, 1, 1, 12, 30, 45)
"""
return datetime_format(datetime.datetime.now())
def delta_seconds(date_string: str):
"""
Calculate seconds elapsed from a given date string to now.
Args:
date_string: Date string in "YYYY-MM-DD HH:MM:SS" format
Returns:
float: Number of seconds between the given date and current time
Example:
>>> delta_seconds("2024-01-01 12:00:00")
3600.0 # If current time is 2024-01-01 13:00:00
"""
dt = datetime.datetime.strptime(date_string, "%Y-%m-%d %H:%M:%S")
return (datetime.datetime.now() - dt).total_seconds()

View File

@ -31,6 +31,7 @@
"entities_kwd": {"type": "varchar", "default": "", "analyzer": "whitespace-#"},
"pagerank_fea": {"type": "integer", "default": 0},
"tag_feas": {"type": "varchar", "default": "", "analyzer": "rankfeatures"},
"from_entity_kwd": {"type": "varchar", "default": "", "analyzer": "whitespace-#"},
"to_entity_kwd": {"type": "varchar", "default": "", "analyzer": "whitespace-#"},
"entity_kwd": {"type": "varchar", "default": "", "analyzer": "whitespace-#"},
@ -38,6 +39,6 @@
"source_id": {"type": "varchar", "default": "", "analyzer": "whitespace-#"},
"n_hop_with_weight": {"type": "varchar", "default": ""},
"removed_kwd": {"type": "varchar", "default": "", "analyzer": "whitespace-#"},
"doc_type_kwd": {"type": "varchar", "default": "", "analyzer": "whitespace-#"},
"toc_kwd": {"type": "varchar", "default": "", "analyzer": "whitespace-#"}
"doc_type_kwd": {"type": "varchar", "default": "", "analyzer": "whitespace-#"}
}

View File

@ -227,8 +227,8 @@
"llm": [
{
"llm_name": "qwen3-8b",
"tags": "LLM,CHAT,128k",
"max_tokens": 128000,
"tags": "LLM,CHAT,131k",
"max_tokens": 131000,
"model_type": "chat",
"is_tools": true
},
@ -241,15 +241,15 @@
},
{
"llm_name": "qwen3-32b",
"tags": "LLM,CHAT,128k",
"max_tokens": 128000,
"tags": "LLM,CHAT,131k",
"max_tokens": 131000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "kimi-k2-instruct-0905",
"tags": "LLM,CHAT,256K",
"max_tokens": 256000,
"llm_name": "kimi-k2-instruct",
"tags": "LLM,CHAT,128K",
"max_tokens": 128000,
"model_type": "chat",
"is_tools": true
},
@ -280,48 +280,6 @@
"max_tokens": 128000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "hunyuan-a13b-instruct",
"tags": "LLM,CHAT,256k",
"max_tokens": 256000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "qwen3-next-80b-a3b-instruct",
"tags": "LLM,CHAT,1024k",
"max_tokens": 1024000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "deepseek-v3.2-exp",
"tags": "LLM,CHAT,128k",
"max_tokens": 128000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "deepseek-v3.1-terminus",
"tags": "LLM,CHAT,128k",
"max_tokens": 128000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "qwen3-vl-235b-a22b-instruct",
"tags": "LLM,CHAT,262k",
"max_tokens": 262000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "qwen3-vl-30b-a3b-instruct",
"tags": "LLM,CHAT,262k",
"max_tokens": 262000,
"model_type": "chat",
"is_tools": true
}
]
},
@ -845,12 +803,6 @@
"tags": "TEXT EMBEDDING",
"max_tokens": 512,
"model_type": "embedding"
},
{
"llm_name": "glm-asr",
"tags": "SPEECH2TEXT",
"max_tokens": 4096,
"model_type": "speech2text"
}
]
},
@ -1013,9 +965,31 @@
{
"name": "VolcEngine",
"logo": "",
"tags": "LLM, TEXT EMBEDDING, IMAGE2TEXT",
"tags": "LLM, TEXT EMBEDDING",
"status": "1",
"llm": []
"llm": [
{
"llm_name": "Doubao-pro-128k",
"tags": "LLM,CHAT,128k",
"max_tokens": 131072,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "Doubao-pro-32k",
"tags": "LLM,CHAT,32k",
"max_tokens": 32768,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "Doubao-pro-4k",
"tags": "LLM,CHAT,4k",
"max_tokens": 4096,
"model_type": "chat",
"is_tools": true
}
]
},
{
"name": "BaiChuan",
@ -1154,32 +1128,6 @@
}
]
},
{
"name": "Builtin",
"logo": "",
"tags": "TEXT EMBEDDING",
"status": "1",
"llm": [
{
"llm_name": "BAAI/bge-small-en-v1.5",
"tags": "TEXT EMBEDDING,512",
"max_tokens": 512,
"model_type": "embedding"
},
{
"llm_name": "BAAI/bge-m3",
"tags": "TEXT EMBEDDING,8k",
"max_tokens": 8192,
"model_type": "embedding"
},
{
"llm_name": "Qwen/Qwen3-Embedding-0.6B",
"tags": "TEXT EMBEDDING,32k",
"max_tokens": 32768,
"model_type": "embedding"
}
]
},
{
"name": "MiniMax",
"logo": "",
@ -1413,35 +1361,35 @@
"llm_name": "gemini-2.5-flash",
"tags": "LLM,CHAT,1024K,IMAGE2TEXT",
"max_tokens": 1048576,
"model_type": "image2text",
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gemini-2.5-pro",
"tags": "LLM,CHAT,IMAGE2TEXT,1024K",
"max_tokens": 1048576,
"model_type": "image2text",
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gemini-2.5-flash-lite",
"tags": "LLM,CHAT,1024K,IMAGE2TEXT",
"max_tokens": 1048576,
"model_type": "image2text",
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gemini-2.0-flash",
"tags": "LLM,CHAT,1024K",
"max_tokens": 1048576,
"model_type": "image2text",
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gemini-2.0-flash-lite",
"tags": "LLM,CHAT,1024K",
"max_tokens": 1048576,
"model_type": "image2text",
"model_type": "chat",
"is_tools": true
},
{
@ -2868,13 +2816,6 @@
"tags": "LLM,TEXT EMBEDDING,TEXT RE-RANK,IMAGE2TEXT",
"status": "1",
"llm": [
{
"llm_name":"THUDM/GLM-4.1V-9B-Thinking",
"tags":"LLM,CHAT,IMAGE2TEXT, 64k",
"max_tokens":64000,
"model_type":"chat",
"is_tools": false
},
{
"llm_name": "Qwen/Qwen3-Embedding-8B",
"tags": "TEXT EMBEDDING,TEXT RE-RANK,32k",
@ -3055,7 +2996,7 @@
"tags": "LLM,CHAT,IMAGE2TEXT,32k",
"max_tokens": 32000,
"model_type": "image2text",
"is_tools": false
"is_tools": true
},
{
"llm_name": "THUDM/GLM-Z1-32B-0414",
@ -3204,6 +3145,13 @@
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "Qwen/Qwen2-1.5B-Instruct",
"tags": "LLM,CHAT,32k",
"max_tokens": 32000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "Pro/Qwen/Qwen2.5-Coder-7B-Instruct",
"tags": "LLM,CHAT,32k",
@ -3211,6 +3159,13 @@
"model_type": "chat",
"is_tools": false
},
{
"llm_name": "Pro/Qwen/Qwen2-VL-7B-Instruct",
"tags": "LLM,CHAT,IMAGE2TEXT,32k",
"max_tokens": 32000,
"model_type": "image2text",
"is_tools": false
},
{
"llm_name": "Pro/Qwen/Qwen2.5-7B-Instruct",
"tags": "LLM,CHAT,32k",
@ -3578,13 +3533,6 @@
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "claude-sonnet-4-5-20250929",
"tags": "LLM,CHAT,IMAGE2TEXT,200k",
"max_tokens": 204800,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "claude-sonnet-4-20250514",
"tags": "LLM,CHAT,IMAGE2TEXT,200k",
@ -4914,282 +4862,8 @@
"max_tokens": 8000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "LongCat-Flash-Thinking",
"tags": "LLM,CHAT,8000",
"max_tokens": 8000,
"model_type": "chat",
"is_tools": true
}
]
},
{
"name": "DeerAPI",
"logo": "",
"tags": "LLM,TEXT EMBEDDING,IMAGE2TEXT",
"status": "1",
"llm": [
{
"llm_name": "gpt-5-chat-latest",
"tags": "LLM,CHAT,400k",
"max_tokens": 400000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "chatgpt-4o-latest",
"tags": "LLM,CHAT,128k",
"max_tokens": 128000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gpt-5-mini",
"tags": "LLM,CHAT,400k",
"max_tokens": 400000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gpt-5-nano",
"tags": "LLM,CHAT,400k",
"max_tokens": 400000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gpt-5",
"tags": "LLM,CHAT,400k",
"max_tokens": 400000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gpt-4.1-mini",
"tags": "LLM,CHAT,1M",
"max_tokens": 1047576,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gpt-4.1-nano",
"tags": "LLM,CHAT,1M",
"max_tokens": 1047576,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gpt-4.1",
"tags": "LLM,CHAT,1M",
"max_tokens": 1047576,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gpt-4o-mini",
"tags": "LLM,CHAT,128k",
"max_tokens": 128000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "o4-mini-2025-04-16",
"tags": "LLM,CHAT,200k",
"max_tokens": 200000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "o3-pro-2025-06-10",
"tags": "LLM,CHAT,200k",
"max_tokens": 200000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "claude-opus-4-1-20250805",
"tags": "LLM,CHAT,200k,IMAGE2TEXT",
"max_tokens": 200000,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "claude-opus-4-1-20250805-thinking",
"tags": "LLM,CHAT,200k,IMAGE2TEXT",
"max_tokens": 200000,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "claude-sonnet-4-20250514",
"tags": "LLM,CHAT,200k,IMAGE2TEXT",
"max_tokens": 200000,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "claude-sonnet-4-20250514-thinking",
"tags": "LLM,CHAT,200k,IMAGE2TEXT",
"max_tokens": 200000,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "claude-3-7-sonnet-latest",
"tags": "LLM,CHAT,200k",
"max_tokens": 200000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "claude-3-5-haiku-latest",
"tags": "LLM,CHAT,200k",
"max_tokens": 200000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gemini-2.5-pro",
"tags": "LLM,CHAT,1M,IMAGE2TEXT",
"max_tokens": 1000000,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "gemini-2.5-flash",
"tags": "LLM,CHAT,1M,IMAGE2TEXT",
"max_tokens": 1000000,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "gemini-2.5-flash-lite",
"tags": "LLM,CHAT,1M,IMAGE2TEXT",
"max_tokens": 1000000,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "gemini-2.0-flash",
"tags": "LLM,CHAT,1M,IMAGE2TEXT",
"max_tokens": 1000000,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "grok-4-0709",
"tags": "LLM,CHAT,131k",
"max_tokens": 131072,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "grok-3",
"tags": "LLM,CHAT,131k",
"max_tokens": 131072,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "grok-3-mini",
"tags": "LLM,CHAT,131k",
"max_tokens": 131072,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "grok-2-image-1212",
"tags": "LLM,CHAT,32k,IMAGE2TEXT",
"max_tokens": 32768,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "deepseek-v3.1",
"tags": "LLM,CHAT,64k",
"max_tokens": 64000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "deepseek-v3",
"tags": "LLM,CHAT,64k",
"max_tokens": 64000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "deepseek-r1-0528",
"tags": "LLM,CHAT,164k",
"max_tokens": 164000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "deepseek-chat",
"tags": "LLM,CHAT,32k",
"max_tokens": 32000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "deepseek-reasoner",
"tags": "LLM,CHAT,64k",
"max_tokens": 64000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "qwen3-30b-a3b",
"tags": "LLM,CHAT,128k",
"max_tokens": 128000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "qwen3-coder-plus-2025-07-22",
"tags": "LLM,CHAT,128k",
"max_tokens": 128000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "text-embedding-ada-002",
"tags": "TEXT EMBEDDING,8K",
"max_tokens": 8191,
"model_type": "embedding",
"is_tools": false
},
{
"llm_name": "text-embedding-3-small",
"tags": "TEXT EMBEDDING,8K",
"max_tokens": 8191,
"model_type": "embedding",
"is_tools": false
},
{
"llm_name": "text-embedding-3-large",
"tags": "TEXT EMBEDDING,8K",
"max_tokens": 8191,
"model_type": "embedding",
"is_tools": false
},
{
"llm_name": "whisper-1",
"tags": "SPEECH2TEXT",
"max_tokens": 26214400,
"model_type": "speech2text",
"is_tools": false
},
{
"llm_name": "tts-1",
"tags": "TTS",
"max_tokens": 2048,
"model_type": "tts",
"is_tools": false
}
]
}
]
}
}

View File

@ -200,61 +200,6 @@
}
}
},
{
"knn_vector": {
"match": "*_2048_vec",
"mapping": {
"type": "knn_vector",
"index": true,
"space_type": "cosinesimil",
"dimension": 2048
}
}
},
{
"knn_vector": {
"match": "*_4096_vec",
"mapping": {
"type": "knn_vector",
"index": true,
"space_type": "cosinesimil",
"dimension": 4096
}
}
},
{
"knn_vector": {
"match": "*_6144_vec",
"mapping": {
"type": "knn_vector",
"index": true,
"space_type": "cosinesimil",
"dimension": 6144
}
}
},
{
"knn_vector": {
"match": "*_8192_vec",
"mapping": {
"type": "knn_vector",
"index": true,
"space_type": "cosinesimil",
"dimension": 8192
}
}
},
{
"knn_vector": {
"match": "*_10240_vec",
"mapping": {
"type": "knn_vector",
"index": true,
"space_type": "cosinesimil",
"dimension": 10240
}
}
},
{
"binary": {
"match": "*_bin",

View File

@ -32,11 +32,6 @@ redis:
db: 1
password: 'infini_rag_flow'
host: 'localhost:6379'
user_default_llm:
default_models:
embedding_model:
api_key: 'xxx'
base_url: 'http://localhost:6380'
# postgres:
# name: 'rag_flow'
# user: 'rag_flow'
@ -82,8 +77,7 @@ user_default_llm:
# api_key: 'xxxx'
# base_url: 'https://api.xx.com'
# embedding_model:
# api_key: 'xxx'
# base_url: 'http://localhost:6380'
# name: 'bge-m3'
# rerank_model: 'bge-reranker-v2'
# asr_model:
# model: 'whisper-large-v3' # alias of name
@ -133,9 +127,3 @@ user_default_llm:
# - "RAGFlow" # display name
# - "" # sender email address
# mail_frontend_url: "https://your-frontend.example.com"
# tcadp_config:
# secret_id: 'tencent_secret_id'
# secret_key: 'tencent_secret_key'
# region: 'tencent_region'
# table_result_type: '1'
# markdown_image_response_type: '1'

View File

@ -1,344 +0,0 @@
#
# 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 __future__ import annotations
import logging
import re
from dataclasses import dataclass
from enum import Enum
from io import BytesIO
from os import PathLike
from pathlib import Path
from typing import Any, Callable, Iterable, Optional
import pdfplumber
from PIL import Image
try:
from docling.document_converter import DocumentConverter
except Exception:
DocumentConverter = None
try:
from deepdoc.parser.pdf_parser import RAGFlowPdfParser
except Exception:
class RAGFlowPdfParser:
pass
class DoclingContentType(str, Enum):
IMAGE = "image"
TABLE = "table"
TEXT = "text"
EQUATION = "equation"
@dataclass
class _BBox:
page_no: int
x0: float
y0: float
x1: float
y1: float
class DoclingParser(RAGFlowPdfParser):
def __init__(self):
self.logger = logging.getLogger(self.__class__.__name__)
self.page_images: list[Image.Image] = []
self.page_from = 0
self.page_to = 10_000
def check_installation(self) -> bool:
if DocumentConverter is None:
self.logger.warning("[Docling] 'docling' is not importable, please: pip install docling")
return False
try:
_ = DocumentConverter()
return True
except Exception as e:
self.logger.error(f"[Docling] init DocumentConverter failed: {e}")
return False
def __images__(self, fnm, zoomin: int = 1, page_from=0, page_to=600, callback=None):
self.page_from = page_from
self.page_to = page_to
try:
opener = pdfplumber.open(fnm) if isinstance(fnm, (str, PathLike)) else pdfplumber.open(BytesIO(fnm))
with opener as pdf:
pages = pdf.pages[page_from:page_to]
self.page_images = [p.to_image(resolution=72 * zoomin, antialias=True).original for p in pages]
except Exception as e:
self.page_images = []
self.logger.exception(e)
def _make_line_tag(self,bbox: _BBox) -> str:
if bbox is None:
return ""
x0,x1, top, bott = bbox.x0, bbox.x1, bbox.y0, bbox.y1
if hasattr(self, "page_images") and self.page_images and len(self.page_images) >= bbox.page_no:
_, page_height = self.page_images[bbox.page_no-1].size
top, bott = page_height-top ,page_height-bott
return "@@{}\t{:.1f}\t{:.1f}\t{:.1f}\t{:.1f}##".format(
bbox.page_no, x0,x1, top, bott
)
@staticmethod
def extract_positions(txt: str) -> list[tuple[list[int], float, float, float, float]]:
poss = []
for tag in re.findall(r"@@[0-9-]+\t[0-9.\t]+##", txt):
pn, left, right, top, bottom = tag.strip("#").strip("@").split("\t")
left, right, top, bottom = float(left), float(right), float(top), float(bottom)
poss.append(([int(p) - 1 for p in pn.split("-")], left, right, top, bottom))
return poss
def crop(self, text: str, ZM: int = 1, need_position: bool = False):
imgs = []
poss = self.extract_positions(text)
if not poss:
return (None, None) if need_position else None
GAP = 6
pos = poss[0]
poss.insert(0, ([pos[0][0]], pos[1], pos[2], max(0, pos[3] - 120), max(pos[3] - GAP, 0)))
pos = poss[-1]
poss.append(([pos[0][-1]], pos[1], pos[2], min(self.page_images[pos[0][-1]].size[1], pos[4] + GAP), min(self.page_images[pos[0][-1]].size[1], pos[4] + 120)))
positions = []
for ii, (pns, left, right, top, bottom) in enumerate(poss):
if bottom <= top:
bottom = top + 4
img0 = self.page_images[pns[0]]
x0, y0, x1, y1 = int(left), int(top), int(right), int(min(bottom, img0.size[1]))
crop0 = img0.crop((x0, y0, x1, y1))
imgs.append(crop0)
if 0 < ii < len(poss)-1:
positions.append((pns[0] + self.page_from, x0, x1, y0, y1))
remain_bottom = bottom - img0.size[1]
for pn in pns[1:]:
if remain_bottom <= 0:
break
page = self.page_images[pn]
x0, y0, x1, y1 = int(left), 0, int(right), int(min(remain_bottom, page.size[1]))
cimgp = page.crop((x0, y0, x1, y1))
imgs.append(cimgp)
if 0 < ii < len(poss) - 1:
positions.append((pn + self.page_from, x0, x1, y0, y1))
remain_bottom -= page.size[1]
if not imgs:
return (None, None) if need_position else None
height = sum(i.size[1] + GAP for i in imgs)
width = max(i.size[0] for i in imgs)
pic = Image.new("RGB", (width, int(height)), (245, 245, 245))
h = 0
for ii, img in enumerate(imgs):
if ii == 0 or ii + 1 == len(imgs):
img = img.convert("RGBA")
overlay = Image.new("RGBA", img.size, (0, 0, 0, 0))
overlay.putalpha(128)
img = Image.alpha_composite(img, overlay).convert("RGB")
pic.paste(img, (0, int(h)))
h += img.size[1] + GAP
return (pic, positions) if need_position else pic
def _iter_doc_items(self, doc) -> Iterable[tuple[str, Any, Optional[_BBox]]]:
for t in getattr(doc, "texts", []):
parent=getattr(t, "parent", "")
ref=getattr(parent,"cref","")
label=getattr(t, "label", "")
if (label in ("section_header","text",) and ref in ("#/body",)) or label in ("list_item",):
text = getattr(t, "text", "") or ""
bbox = None
if getattr(t, "prov", None):
pn = getattr(t.prov[0], "page_no", None)
bb = getattr(t.prov[0], "bbox", None)
bb = [getattr(bb, "l", None),getattr(bb, "t", None),getattr(bb, "r", None),getattr(bb, "b", None)]
if pn and bb and len(bb) == 4:
bbox = _BBox(page_no=int(pn), x0=bb[0], y0=bb[1], x1=bb[2], y1=bb[3])
yield (DoclingContentType.TEXT.value, text, bbox)
for item in getattr(doc, "texts", []):
if getattr(item, "label", "") in ("FORMULA",):
text = getattr(item, "text", "") or ""
bbox = None
if getattr(item, "prov", None):
pn = getattr(item.prov, "page_no", None)
bb = getattr(item.prov, "bbox", None)
bb = [getattr(bb, "l", None),getattr(bb, "t", None),getattr(bb, "r", None),getattr(bb, "b", None)]
if pn and bb and len(bb) == 4:
bbox = _BBox(int(pn), bb[0], bb[1], bb[2], bb[3])
yield (DoclingContentType.EQUATION.value, text, bbox)
def _transfer_to_sections(self, doc) -> list[tuple[str, str]]:
"""
和 MinerUParser 保持一致:返回 [(section_text, line_tag), ...]
"""
sections: list[tuple[str, str]] = []
for typ, payload, bbox in self._iter_doc_items(doc):
if typ == DoclingContentType.TEXT.value:
section = payload.strip()
if not section:
continue
elif typ == DoclingContentType.EQUATION.value:
section = payload.strip()
else:
continue
tag = self._make_line_tag(bbox) if isinstance(bbox,_BBox) else ""
sections.append((section, tag))
return sections
def cropout_docling_table(self, page_no: int, bbox: tuple[float, float, float, float], zoomin: int = 1):
if not getattr(self, "page_images", None):
return None, ""
idx = (page_no - 1) - getattr(self, "page_from", 0)
if idx < 0 or idx >= len(self.page_images):
return None, ""
page_img = self.page_images[idx]
W, H = page_img.size
left, top, right, bott = bbox
x0 = float(left)
y0 = float(H-top)
x1 = float(right)
y1 = float(H-bott)
x0, y0 = max(0.0, min(x0, W - 1)), max(0.0, min(y0, H - 1))
x1, y1 = max(x0 + 1.0, min(x1, W)), max(y0 + 1.0, min(y1, H))
try:
crop = page_img.crop((int(x0), int(y0), int(x1), int(y1))).convert("RGB")
except Exception:
return None, ""
pos = (page_no-1 if page_no>0 else 0, x0, x1, y0, y1)
return crop, [pos]
def _transfer_to_tables(self, doc):
tables = []
for tab in getattr(doc, "tables", []):
img = None
positions = ""
if getattr(tab, "prov", None):
pn = getattr(tab.prov[0], "page_no", None)
bb = getattr(tab.prov[0], "bbox", None)
if pn is not None and bb is not None:
left = getattr(bb, "l", None)
top = getattr(bb, "t", None)
right = getattr(bb, "r", None)
bott = getattr(bb, "b", None)
if None not in (left, top, right, bott):
img, positions = self.cropout_docling_table(int(pn), (float(left), float(top), float(right), float(bott)))
html = ""
try:
html = tab.export_to_html(doc=doc)
except Exception:
pass
tables.append(((img, html), positions if positions else ""))
for pic in getattr(doc, "pictures", []):
img = None
positions = ""
if getattr(pic, "prov", None):
pn = getattr(pic.prov[0], "page_no", None)
bb = getattr(pic.prov[0], "bbox", None)
if pn is not None and bb is not None:
left = getattr(bb, "l", None)
top = getattr(bb, "t", None)
right = getattr(bb, "r", None)
bott = getattr(bb, "b", None)
if None not in (left, top, right, bott):
img, positions = self.cropout_docling_table(int(pn), (float(left), float(top), float(right), float(bott)))
captions = ""
try:
captions = pic.caption_text(doc=doc)
except Exception:
pass
tables.append(((img, [captions]), positions if positions else ""))
return tables
def parse_pdf(
self,
filepath: str | PathLike[str],
binary: BytesIO | bytes | None = None,
callback: Optional[Callable] = None,
*,
output_dir: Optional[str] = None,
lang: Optional[str] = None,
method: str = "auto",
delete_output: bool = True,
):
if not self.check_installation():
raise RuntimeError("Docling not available, please install `docling`")
if binary is not None:
tmpdir = Path(output_dir) if output_dir else Path.cwd() / ".docling_tmp"
tmpdir.mkdir(parents=True, exist_ok=True)
name = Path(filepath).name or "input.pdf"
tmp_pdf = tmpdir / name
with open(tmp_pdf, "wb") as f:
if isinstance(binary, (bytes, bytearray)):
f.write(binary)
else:
f.write(binary.getbuffer())
src_path = tmp_pdf
else:
src_path = Path(filepath)
if not src_path.exists():
raise FileNotFoundError(f"PDF not found: {src_path}")
if callback:
callback(0.1, f"[Docling] Converting: {src_path}")
try:
self.__images__(str(src_path), zoomin=1)
except Exception as e:
self.logger.warning(f"[Docling] render pages failed: {e}")
conv = DocumentConverter()
conv_res = conv.convert(str(src_path))
doc = conv_res.document
if callback:
callback(0.7, f"[Docling] Parsed doc: {getattr(doc, 'num_pages', 'n/a')} pages")
sections = self._transfer_to_sections(doc)
tables = self._transfer_to_tables(doc)
if callback:
callback(0.95, f"[Docling] Sections: {len(sections)}, Tables: {len(tables)}")
if binary is not None and delete_output:
try:
Path(src_path).unlink(missing_ok=True)
except Exception:
pass
if callback:
callback(1.0, "[Docling] Done.")
return sections, tables
if __name__ == "__main__":
logging.basicConfig(level=logging.INFO)
parser = DoclingParser()
print("Docling available:", parser.check_installation())
sections, tables = parser.parse_pdf(filepath="test_docling/toc.pdf", binary=None)
print(len(sections), len(tables))

View File

@ -54,8 +54,8 @@ class RAGFlowExcelParser:
try:
file_like_object.seek(0)
try:
dfs = pd.read_excel(file_like_object, sheet_name=None)
return RAGFlowExcelParser._dataframe_to_workbook(dfs)
df = pd.read_excel(file_like_object)
return RAGFlowExcelParser._dataframe_to_workbook(df)
except Exception as ex:
logging.info(f"pandas with default engine load error: {ex}, try calamine instead")
file_like_object.seek(0)
@ -75,10 +75,6 @@ class RAGFlowExcelParser:
@staticmethod
def _dataframe_to_workbook(df):
# if contains multiple sheets use _dataframes_to_workbook
if isinstance(df, dict) and len(df) > 1:
return RAGFlowExcelParser._dataframes_to_workbook(df)
df = RAGFlowExcelParser._clean_dataframe(df)
wb = Workbook()
ws = wb.active
@ -92,22 +88,6 @@ class RAGFlowExcelParser:
ws.cell(row=row_num, column=col_num, value=value)
return wb
@staticmethod
def _dataframes_to_workbook(dfs: dict):
wb = Workbook()
default_sheet = wb.active
wb.remove(default_sheet)
for sheet_name, df in dfs.items():
df = RAGFlowExcelParser._clean_dataframe(df)
ws = wb.create_sheet(title=sheet_name)
for col_num, column_name in enumerate(df.columns, 1):
ws.cell(row=1, column=col_num, value=column_name)
for row_num, row in enumerate(df.values, 2):
for col_num, value in enumerate(row, 1):
ws.cell(row=row_num, column=col_num, value=value)
return wb
def html(self, fnm, chunk_rows=256):
from html import escape
@ -123,12 +103,7 @@ class RAGFlowExcelParser:
for sheetname in wb.sheetnames:
ws = wb[sheetname]
try:
rows = list(ws.rows)
except Exception as e:
logging.warning(f"Skip sheet '{sheetname}' due to rows access error: {e}")
continue
rows = list(ws.rows)
if not rows:
continue
@ -175,11 +150,7 @@ class RAGFlowExcelParser:
res = []
for sheetname in wb.sheetnames:
ws = wb[sheetname]
try:
rows = list(ws.rows)
except Exception as e:
logging.warning(f"Skip sheet '{sheetname}' due to rows access error: {e}")
continue
rows = list(ws.rows)
if not rows:
continue
ti = list(rows[0])
@ -202,14 +173,9 @@ class RAGFlowExcelParser:
if fnm.split(".")[-1].lower().find("xls") >= 0:
wb = RAGFlowExcelParser._load_excel_to_workbook(BytesIO(binary))
total = 0
for sheetname in wb.sheetnames:
try:
ws = wb[sheetname]
total += len(list(ws.rows))
except Exception as e:
logging.warning(f"Skip sheet '{sheetname}' due to rows access error: {e}")
continue
ws = wb[sheetname]
total += len(list(ws.rows))
return total
if fnm.split(".")[-1].lower() in ["csv", "txt"]:

Some files were not shown because too many files have changed in this diff Show More