mirror of
https://github.com/infiniflow/ragflow.git
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96c015fb85
### What problem does this PR solve? 1. Move EMBEDDING_CFG to common.globals 2. Fix error imports 3. Move signal handles to common/signal_utils.py ### Type of change - [x] Refactoring --------- Signed-off-by: Jin Hai <haijin.chn@gmail.com>
306 lines
11 KiB
Python
306 lines
11 KiB
Python
#
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# Copyright 2024 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# from beartype import BeartypeConf
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# from beartype.claw import beartype_all # <-- you didn't sign up for this
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# beartype_all(conf=BeartypeConf(violation_type=UserWarning)) # <-- emit warnings from all code
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import sys
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import threading
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import time
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import traceback
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from api.db.services.connector_service import SyncLogsService
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from api.db.services.knowledgebase_service import KnowledgebaseService
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from common.log_utils import init_root_logger
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from common.config_utils import show_configs
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from common.data_source import BlobStorageConnector
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import logging
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import os
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from datetime import datetime, timezone
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import signal
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import trio
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import faulthandler
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from common.constants import FileSource, TaskStatus
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from api import settings
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from api.versions import get_ragflow_version
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from common.data_source.confluence_connector import ConfluenceConnector
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from common.data_source.utils import load_all_docs_from_checkpoint_connector
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from common.signal_utils import start_tracemalloc_and_snapshot, stop_tracemalloc
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MAX_CONCURRENT_TASKS = int(os.environ.get('MAX_CONCURRENT_TASKS', "5"))
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task_limiter = trio.Semaphore(MAX_CONCURRENT_TASKS)
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class SyncBase:
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def __init__(self, conf: dict) -> None:
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self.conf = conf
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async def __call__(self, task: dict):
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SyncLogsService.start(task["id"])
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try:
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async with task_limiter:
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with trio.fail_after(task["timeout_secs"]):
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task["poll_range_start"] = await self._run(task)
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except Exception as ex:
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msg = '\n'.join([
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''.join(traceback.format_exception_only(None, ex)).strip(),
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''.join(traceback.format_exception(None, ex, ex.__traceback__)).strip()
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])
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SyncLogsService.update_by_id(task["id"], {"status": TaskStatus.FAIL, "full_exception_trace": msg})
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SyncLogsService.schedule(task["connector_id"], task["kb_id"], task["poll_range_start"])
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async def _run(self, task: dict):
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raise NotImplementedError
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class S3(SyncBase):
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async def _run(self, task: dict):
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self.connector = BlobStorageConnector(
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bucket_type=self.conf.get("bucket_type", "s3"),
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bucket_name=self.conf["bucket_name"],
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prefix=self.conf.get("prefix", "")
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)
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self.connector.load_credentials(self.conf["credentials"])
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document_batch_generator = self.connector.load_from_state() if task["reindex"]=="1" or not task["poll_range_start"] \
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else self.connector.poll_source(task["poll_range_start"].timestamp(), datetime.now(timezone.utc).timestamp())
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begin_info = "totally" if task["reindex"]=="1" or not task["poll_range_start"] else "from {}".format(task["poll_range_start"])
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logging.info("Connect to {}: {} {}".format(self.conf.get("bucket_type", "s3"),
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self.conf["bucket_name"],
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begin_info
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))
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doc_num = 0
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next_update = datetime(1970, 1, 1, tzinfo=timezone.utc)
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if task["poll_range_start"]:
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next_update = task["poll_range_start"]
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for document_batch in document_batch_generator:
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min_update = min([doc.doc_updated_at for doc in document_batch])
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max_update = max([doc.doc_updated_at for doc in document_batch])
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next_update = max([next_update, max_update])
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docs = [{
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"id": doc.id,
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"connector_id": task["connector_id"],
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"source": FileSource.S3,
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"semantic_identifier": doc.semantic_identifier,
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"extension": doc.extension,
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"size_bytes": doc.size_bytes,
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"doc_updated_at": doc.doc_updated_at,
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"blob": doc.blob
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} for doc in document_batch]
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e, kb = KnowledgebaseService.get_by_id(task["kb_id"])
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err, dids = SyncLogsService.duplicate_and_parse(kb, docs, task["tenant_id"], f"{FileSource.S3}/{task['connector_id']}")
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SyncLogsService.increase_docs(task["id"], min_update, max_update, len(docs), "\n".join(err), len(err))
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doc_num += len(docs)
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logging.info("{} docs synchronized from {}: {} {}".format(doc_num, self.conf.get("bucket_type", "s3"),
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self.conf["bucket_name"],
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begin_info
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))
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SyncLogsService.done(task["id"])
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return next_update
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class Confluence(SyncBase):
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async def _run(self, task: dict):
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from common.data_source.interfaces import StaticCredentialsProvider
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from common.data_source.config import DocumentSource
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self.connector = ConfluenceConnector(
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wiki_base=self.conf["wiki_base"],
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space=self.conf.get("space", ""),
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is_cloud=self.conf.get("is_cloud", True),
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# page_id=self.conf.get("page_id", ""),
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)
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credentials_provider = StaticCredentialsProvider(
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tenant_id=task["tenant_id"],
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connector_name=DocumentSource.CONFLUENCE,
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credential_json={
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"confluence_username": self.conf["username"],
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"confluence_access_token": self.conf["access_token"],
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},
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)
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self.connector.set_credentials_provider(credentials_provider)
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# Determine the time range for synchronization based on reindex or poll_range_start
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if task["reindex"] == "1" or not task["poll_range_start"]:
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start_time = 0.0
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begin_info = "totally"
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else:
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start_time = task["poll_range_start"].timestamp()
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begin_info = f"from {task['poll_range_start']}"
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end_time = datetime.now(timezone.utc).timestamp()
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document_generator = load_all_docs_from_checkpoint_connector(
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connector=self.connector,
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start=start_time,
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end=end_time,
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)
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logging.info("Connect to Confluence: {} {}".format(self.conf["wiki_base"], begin_info))
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doc_num = 0
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next_update = datetime(1970, 1, 1, tzinfo=timezone.utc)
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if task["poll_range_start"]:
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next_update = task["poll_range_start"]
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for doc in document_generator:
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min_update = doc.doc_updated_at if doc.doc_updated_at else next_update
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max_update = doc.doc_updated_at if doc.doc_updated_at else next_update
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next_update = max([next_update, max_update])
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docs = [{
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"id": doc.id,
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"connector_id": task["connector_id"],
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"source": FileSource.CONFLUENCE,
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"semantic_identifier": doc.semantic_identifier,
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"extension": doc.extension,
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"size_bytes": doc.size_bytes,
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"doc_updated_at": doc.doc_updated_at,
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"blob": doc.blob
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}]
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e, kb = KnowledgebaseService.get_by_id(task["kb_id"])
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err, dids = SyncLogsService.duplicate_and_parse(kb, docs, task["tenant_id"], f"{FileSource.CONFLUENCE}/{task['connector_id']}")
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SyncLogsService.increase_docs(task["id"], min_update, max_update, len(docs), "\n".join(err), len(err))
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doc_num += len(docs)
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logging.info("{} docs synchronized from Confluence: {} {}".format(doc_num, self.conf["wiki_base"], begin_info))
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SyncLogsService.done(task["id"])
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return next_update
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class Notion(SyncBase):
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async def __call__(self, task: dict):
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pass
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class Discord(SyncBase):
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async def __call__(self, task: dict):
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pass
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class Gmail(SyncBase):
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async def __call__(self, task: dict):
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pass
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class GoogleDriver(SyncBase):
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async def __call__(self, task: dict):
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pass
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class Jira(SyncBase):
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async def __call__(self, task: dict):
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pass
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class SharePoint(SyncBase):
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async def __call__(self, task: dict):
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pass
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class Slack(SyncBase):
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async def __call__(self, task: dict):
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pass
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class Teams(SyncBase):
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async def __call__(self, task: dict):
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pass
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func_factory = {
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FileSource.S3: S3,
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FileSource.NOTION: Notion,
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FileSource.DISCORD: Discord,
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FileSource.CONFLUENCE: Confluence,
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FileSource.GMAIL: Gmail,
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FileSource.GOOGLE_DRIVER: GoogleDriver,
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FileSource.JIRA: Jira,
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FileSource.SHAREPOINT: SharePoint,
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FileSource.SLACK: Slack,
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FileSource.TEAMS: Teams
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}
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async def dispatch_tasks():
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async with trio.open_nursery() as nursery:
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for task in SyncLogsService.list_sync_tasks():
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if task["poll_range_start"]:
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task["poll_range_start"] = task["poll_range_start"].astimezone(timezone.utc)
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if task["poll_range_end"]:
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task["poll_range_end"] = task["poll_range_end"].astimezone(timezone.utc)
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func = func_factory[task["source"]](task["config"])
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nursery.start_soon(func, task)
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await trio.sleep(1)
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stop_event = threading.Event()
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def signal_handler(sig, frame):
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logging.info("Received interrupt signal, shutting down...")
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stop_event.set()
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time.sleep(1)
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sys.exit(0)
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CONSUMER_NO = "0" if len(sys.argv) < 2 else sys.argv[1]
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CONSUMER_NAME = "data_sync_" + CONSUMER_NO
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async def main():
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logging.info(r"""
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_____ _ _____
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| __ \ | | / ____|
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| | | | __ _| |_ __ _ | (___ _ _ _ __ ___
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| | | |/ _` | __/ _` | \___ \| | | | '_ \ / __|
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| |__| | (_| | || (_| | ____) | |_| | | | | (__
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|_____/ \__,_|\__\__,_| |_____/ \__, |_| |_|\___|
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__/ |
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|___/
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""")
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logging.info(f'RAGFlow version: {get_ragflow_version()}')
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show_configs()
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settings.init_settings()
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if sys.platform != "win32":
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signal.signal(signal.SIGUSR1, start_tracemalloc_and_snapshot)
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signal.signal(signal.SIGUSR2, stop_tracemalloc)
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signal.signal(signal.SIGINT, signal_handler)
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signal.signal(signal.SIGTERM, signal_handler)
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while not stop_event.is_set():
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await dispatch_tasks()
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logging.error("BUG!!! You should not reach here!!!")
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if __name__ == "__main__":
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faulthandler.enable()
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init_root_logger(CONSUMER_NAME)
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trio.run(main)
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