Feat: Support multiple data sources synchronizations (#10954)

### What problem does this PR solve?
#10953

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
This commit is contained in:
Kevin Hu
2025-11-03 19:59:18 +08:00
committed by GitHub
parent 9a486e0f51
commit 3e5a39482e
33 changed files with 11444 additions and 3645 deletions

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@ -0,0 +1,220 @@
#
# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import logging
from datetime import datetime
from anthropic import BaseModel
from peewee import SQL, fn
from api.db import InputType, TaskStatus
from api.db.db_models import Connector, SyncLogs, Connector2Kb, Knowledgebase
from api.db.services.common_service import CommonService
from api.db.services.document_service import DocumentService
from api.db.services.file_service import FileService
from common.misc_utils import get_uuid
from common.time_utils import current_timestamp, timestamp_to_date
class ConnectorService(CommonService):
model = Connector
@classmethod
def resume(cls, connector_id, status):
for c2k in Connector2KbService.query(connector_id=connector_id):
task = SyncLogsService.get_latest_task(connector_id, c2k.kb_id)
if not task:
if status == TaskStatus.SCHEDULE:
SyncLogsService.schedule(connector_id, c2k.kb_id)
if task.status == TaskStatus.DONE:
if status == TaskStatus.SCHEDULE:
SyncLogsService.schedule(connector_id, c2k.kb_id, task.poll_range_end, total_docs_indexed=task.total_docs_indexed)
task = task.to_dict()
task["status"] = status
SyncLogsService.update_by_id(task["id"], task)
ConnectorService.update_by_id(connector_id, {"status": status})
@classmethod
def list(cls, tenant_id):
fields = [
cls.model.id,
cls.model.name,
cls.model.source,
cls.model.status
]
return cls.model.select(*fields).where(
cls.model.tenant_id == tenant_id
).dicts()
class SyncLogsService(CommonService):
model = SyncLogs
@classmethod
def list_sync_tasks(cls, connector_id=None, page_number=None, items_per_page=15):
fields = [
cls.model.id,
cls.model.connector_id,
cls.model.kb_id,
cls.model.poll_range_start,
cls.model.poll_range_end,
cls.model.new_docs_indexed,
cls.model.error_msg,
cls.model.error_count,
Connector.name,
Connector.source,
Connector.tenant_id,
Connector.timeout_secs,
Knowledgebase.name.alias("kb_name"),
cls.model.from_beginning.alias("reindex"),
cls.model.status
]
if not connector_id:
fields.append(Connector.config)
query = cls.model.select(*fields)\
.join(Connector, on=(cls.model.connector_id==Connector.id))\
.join(Connector2Kb, on=(cls.model.kb_id==Connector2Kb.kb_id))\
.join(Knowledgebase, on=(cls.model.kb_id==Knowledgebase.id))
if connector_id:
query = query.where(cls.model.connector_id == connector_id)
else:
interval_expr = SQL("INTERVAL `t2`.`refresh_freq` MINUTE")
query = query.where(
Connector.input_type == InputType.POLL,
Connector.status == TaskStatus.SCHEDULE,
cls.model.status == TaskStatus.SCHEDULE,
cls.model.update_date < (fn.NOW() - interval_expr)
)
query = query.distinct().order_by(cls.model.update_time.desc())
if page_number:
query = query.paginate(page_number, items_per_page)
return list(query.dicts())
@classmethod
def start(cls, id):
cls.update_by_id(id, {"status": TaskStatus.RUNNING, "time_started": datetime.now().strftime('%Y-%m-%d %H:%M:%S') })
@classmethod
def done(cls, id):
cls.update_by_id(id, {"status": TaskStatus.DONE})
@classmethod
def schedule(cls, connector_id, kb_id, poll_range_start=None, reindex=False, total_docs_indexed=0):
try:
e = cls.query(kb_id=kb_id, connector_id=connector_id, status=TaskStatus.SCHEDULE)
if e:
logging.warning(f"{kb_id}--{connector_id} has already had a scheduling sync task which is abnormal.")
return
reindex = "1" if reindex else "0"
return cls.save(**{
"id": get_uuid(),
"kb_id": kb_id, "status": TaskStatus.SCHEDULE, "connector_id": connector_id,
"poll_range_start": poll_range_start, "from_beginning": reindex,
"total_docs_indexed": total_docs_indexed
})
except Exception as e:
logging.exception(e)
task = cls.get_latest_task(connector_id, kb_id)
if task:
cls.model.update(status=TaskStatus.SCHEDULE,
poll_range_start=poll_range_start,
error_msg=cls.model.error_msg + str(e),
full_exception_trace=cls.model.full_exception_trace + str(e)
) \
.where(cls.model.id == task.id).execute()
@classmethod
def increase_docs(cls, id, min_update, max_update, doc_num, err_msg="", error_count=0):
cls.model.update(new_docs_indexed=cls.model.new_docs_indexed + doc_num,
total_docs_indexed=cls.model.total_docs_indexed + doc_num,
poll_range_start=fn.COALESCE(fn.LEAST(cls.model.poll_range_start,min_update), min_update),
poll_range_end=fn.COALESCE(fn.GREATEST(cls.model.poll_range_end, max_update), max_update),
error_msg=cls.model.error_msg + err_msg,
error_count=cls.model.error_count + error_count,
update_time=current_timestamp(),
update_date=timestamp_to_date(current_timestamp())
)\
.where(cls.model.id == id).execute()
@classmethod
def duplicate_and_parse(cls, kb, docs, tenant_id, src):
if not docs:
return
class FileObj(BaseModel):
filename: str
blob: bytes
def read(self) -> bytes:
return self.blob
errs = []
files = [FileObj(filename=d["semantic_identifier"]+f".{d['extension']}", blob=d["blob"]) for d in docs]
doc_ids = []
err, doc_blob_pairs = FileService.upload_document(kb, files, tenant_id, src)
errs.extend(err)
if not err:
kb_table_num_map = {}
for doc, _ in doc_blob_pairs:
DocumentService.run(tenant_id, doc, kb_table_num_map)
doc_ids.append(doc["id"])
return errs, doc_ids
@classmethod
def get_latest_task(cls, connector_id, kb_id):
return cls.model.select().where(
cls.model.connector_id==connector_id,
cls.model.kb_id == kb_id
).order_by(cls.model.update_time.desc()).first()
class Connector2KbService(CommonService):
model = Connector2Kb
@classmethod
def link_kb(cls, conn_id:str, kb_ids: list[str], tenant_id:str):
arr = cls.query(connector_id=conn_id)
old_kb_ids = [a.kb_id for a in arr]
for kb_id in kb_ids:
if kb_id in old_kb_ids:
continue
cls.save(**{
"id": get_uuid(),
"connector_id": conn_id,
"kb_id": kb_id
})
SyncLogsService.schedule(conn_id, kb_id, reindex=True)
errs = []
e, conn = ConnectorService.get_by_id(conn_id)
for kb_id in old_kb_ids:
if kb_id in kb_ids:
continue
cls.filter_delete([cls.model.kb_id==kb_id, cls.model.connector_id==conn_id])
SyncLogsService.filter_update([SyncLogs.connector_id==conn_id, SyncLogs.kb_id==kb_id, SyncLogs.status==TaskStatus.SCHEDULE], {"status": TaskStatus.CANCEL})
docs = DocumentService.query(source_type=f"{conn.source}/{conn.id}")
err = FileService.delete_docs([d.id for d in docs], tenant_id)
if err:
errs.append(err)
return "\n".join(errs)

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@ -794,6 +794,29 @@ class DocumentService(CommonService):
"cancelled": int(cancelled),
}
@classmethod
def run(cls, tenant_id:str, doc:dict, kb_table_num_map:dict):
from api.db.services.task_service import queue_dataflow, queue_tasks
from api.db.services.file2document_service import File2DocumentService
doc["tenant_id"] = tenant_id
doc_parser = doc.get("parser_id", ParserType.NAIVE)
if doc_parser == ParserType.TABLE:
kb_id = doc.get("kb_id")
if not kb_id:
return
if kb_id not in kb_table_num_map:
count = DocumentService.count_by_kb_id(kb_id=kb_id, keywords="", run_status=[TaskStatus.DONE], types=[])
kb_table_num_map[kb_id] = count
if kb_table_num_map[kb_id] <= 0:
KnowledgebaseService.delete_field_map(kb_id)
if doc.get("pipeline_id", ""):
queue_dataflow(tenant_id, flow_id=doc["pipeline_id"], task_id=get_uuid(), doc_id=doc["id"])
else:
bucket, name = File2DocumentService.get_storage_address(doc_id=doc["id"])
queue_tasks(doc, bucket, name, 0)
def queue_raptor_o_graphrag_tasks(sample_doc_id, ty, priority, fake_doc_id="", doc_ids=[]):
"""
You can provide a fake_doc_id to bypass the restriction of tasks at the knowledgebase level.

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@ -21,13 +21,15 @@ from pathlib import Path
from flask_login import current_user
from peewee import fn
from api.db import KNOWLEDGEBASE_FOLDER_NAME, FileSource, FileType, ParserType
from api.db.db_models import DB, Document, File, File2Document, Knowledgebase
from api.db import KNOWLEDGEBASE_FOLDER_NAME, FileSource, FileType, ParserType, TaskStatus
from api.db.db_models import DB, Document, File, File2Document, Knowledgebase, Task
from api.db.services import duplicate_name
from api.db.services.common_service import CommonService
from api.db.services.document_service import DocumentService
from api.db.services.file2document_service import File2DocumentService
from common.misc_utils import get_uuid
from api.db.services.knowledgebase_service import KnowledgebaseService
from api.db.services.task_service import TaskService
from api.utils.file_utils import filename_type, read_potential_broken_pdf, thumbnail_img
from rag.llm.cv_model import GptV4
from rag.utils.storage_factory import STORAGE_IMPL
@ -420,7 +422,7 @@ class FileService(CommonService):
@classmethod
@DB.connection_context()
def upload_document(self, kb, file_objs, user_id):
def upload_document(self, kb, file_objs, user_id, src="local"):
root_folder = self.get_root_folder(user_id)
pf_id = root_folder["id"]
self.init_knowledgebase_docs(pf_id, user_id)
@ -462,6 +464,7 @@ class FileService(CommonService):
"created_by": user_id,
"type": filetype,
"name": filename,
"source_type": src,
"suffix": Path(filename).suffix.lstrip("."),
"location": location,
"size": len(blob),
@ -536,3 +539,48 @@ class FileService(CommonService):
def put_blob(user_id, location, blob):
bname = f"{user_id}-downloads"
return STORAGE_IMPL.put(bname, location, blob)
@classmethod
@DB.connection_context()
def delete_docs(cls, doc_ids, tenant_id):
root_folder = FileService.get_root_folder(tenant_id)
pf_id = root_folder["id"]
FileService.init_knowledgebase_docs(pf_id, tenant_id)
errors = ""
kb_table_num_map = {}
for doc_id in doc_ids:
try:
e, doc = DocumentService.get_by_id(doc_id)
if not e:
raise Exception("Document not found!")
tenant_id = DocumentService.get_tenant_id(doc_id)
if not tenant_id:
raise Exception("Tenant not found!")
b, n = File2DocumentService.get_storage_address(doc_id=doc_id)
TaskService.filter_delete([Task.doc_id == doc_id])
if not DocumentService.remove_document(doc, tenant_id):
raise Exception("Database error (Document removal)!")
f2d = File2DocumentService.get_by_document_id(doc_id)
deleted_file_count = 0
if f2d:
deleted_file_count = FileService.filter_delete([File.source_type == FileSource.KNOWLEDGEBASE, File.id == f2d[0].file_id])
File2DocumentService.delete_by_document_id(doc_id)
if deleted_file_count > 0:
STORAGE_IMPL.rm(b, n)
doc_parser = doc.parser_id
if doc_parser == ParserType.TABLE:
kb_id = doc.kb_id
if kb_id not in kb_table_num_map:
counts = DocumentService.count_by_kb_id(kb_id=kb_id, keywords="", run_status=[TaskStatus.DONE], types=[])
kb_table_num_map[kb_id] = counts
kb_table_num_map[kb_id] -= 1
if kb_table_num_map[kb_id] <= 0:
KnowledgebaseService.delete_field_map(kb_id)
except Exception as e:
errors += str(e)
return errors

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@ -59,7 +59,7 @@ class TenantLLMService(CommonService):
@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]
cls.model.used_tokens, cls.model.status]
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()