mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-02-05 01:55:05 +08:00
deeae8dba4
### What problem does this PR solve? This PR adds **Seafile** as a new data source connector for RAGFlow. [Seafile](https://www.seafile.com/) is an open-source, self-hosted file sync and share platform widely used by enterprises, universities, and organizations that require data sovereignty and privacy. Users who store documents in Seafile currently have no way to index and search their content through RAGFlow. This connector enables RAGFlow users to: - Connect to self-hosted Seafile servers via API token - Index documents from personal and shared libraries - Support incremental polling for updated files - Seamlessly integrate Seafile-stored documents into their RAG pipelines ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### Changes included - `SeaFileConnector` implementing `LoadConnector` and `PollConnector` interfaces - Support for API token - Recursive file traversal across libraries - Time-based filtering for incremental updates - Seafile logo (sourced from Simple Icons, CC0) - Connector configuration and registration ### Testing - Tested against self-hosted Seafile Community Edition - Verified authentication (token) - Verified document ingestion from personal and shared libraries - Verified incremental polling with time filters
1318 lines
48 KiB
Python
1318 lines
48 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 time
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start_ts = time.time()
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import asyncio
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import copy
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import faulthandler
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import logging
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import os
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import signal
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import sys
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import threading
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import traceback
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from datetime import datetime, timezone
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from typing import Any
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from flask import json
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from api.utils.common import hash128
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from api.db.services.connector_service import ConnectorService, SyncLogsService
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from api.db.services.knowledgebase_service import KnowledgebaseService
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from common import settings
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from common.config_utils import show_configs
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from common.data_source import (
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BlobStorageConnector,
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NotionConnector,
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DiscordConnector,
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GoogleDriveConnector,
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MoodleConnector,
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JiraConnector,
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DropboxConnector,
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AirtableConnector,
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AsanaConnector,
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ImapConnector,
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ZendeskConnector,
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SeaFileConnector,
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)
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from common.constants import FileSource, TaskStatus
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from common.data_source.config import INDEX_BATCH_SIZE
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from common.data_source.models import ConnectorFailure
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from common.data_source.webdav_connector import WebDAVConnector
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from common.data_source.confluence_connector import ConfluenceConnector
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from common.data_source.gmail_connector import GmailConnector
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from common.data_source.box_connector import BoxConnector
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from common.data_source.github.connector import GithubConnector
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from common.data_source.gitlab_connector import GitlabConnector
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from common.data_source.bitbucket.connector import BitbucketConnector
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from common.data_source.interfaces import CheckpointOutputWrapper
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from common.log_utils import init_root_logger
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from common.signal_utils import start_tracemalloc_and_snapshot, stop_tracemalloc
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from common.versions import get_ragflow_version
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from box_sdk_gen import BoxOAuth, OAuthConfig, AccessToken
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MAX_CONCURRENT_TASKS = int(os.environ.get("MAX_CONCURRENT_TASKS", "5"))
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task_limiter = asyncio.Semaphore(MAX_CONCURRENT_TASKS)
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class SyncBase:
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SOURCE_NAME: str = None
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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"], task["connector_id"])
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async with task_limiter:
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try:
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await asyncio.wait_for(self._run_task_logic(task), timeout=task["timeout_secs"])
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except asyncio.TimeoutError:
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msg = f"Task timeout after {task['timeout_secs']} seconds"
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SyncLogsService.update_by_id(task["id"], {"status": TaskStatus.FAIL, "error_msg": msg})
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return
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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"], {
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"status": TaskStatus.FAIL,
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"full_exception_trace": msg,
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"error_msg": str(ex)
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})
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return
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SyncLogsService.schedule(task["connector_id"], task["kb_id"], task["poll_range_start"])
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async def _run_task_logic(self, task: dict):
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document_batch_generator = await self._generate(task)
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doc_num = 0
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failed_docs = 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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if not document_batch:
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continue
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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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for doc in document_batch:
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d = {
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"id": hash128(doc.id),
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"connector_id": task["connector_id"],
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"source": self.SOURCE_NAME,
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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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if doc.metadata:
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d["metadata"] = doc.metadata
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docs.append(d)
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try:
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e, kb = KnowledgebaseService.get_by_id(task["kb_id"])
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err, dids = SyncLogsService.duplicate_and_parse(
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kb, docs, task["tenant_id"],
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f"{self.SOURCE_NAME}/{task['connector_id']}",
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task["auto_parse"]
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)
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SyncLogsService.increase_docs(
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task["id"], min_update, max_update,
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len(docs), "\n".join(err), len(err)
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)
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doc_num += len(docs)
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except Exception as batch_ex:
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msg = str(batch_ex)
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code = getattr(batch_ex, "args", [None])[0]
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if code == 1267 or "collation" in msg.lower():
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logging.warning(f"Skipping {len(docs)} document(s) due to collation conflict")
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else:
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logging.error(f"Error processing batch: {msg}")
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failed_docs += len(docs)
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continue
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prefix = self._get_source_prefix()
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if failed_docs > 0:
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logging.info(f"{prefix}{doc_num} docs synchronized till {next_update} ({failed_docs} skipped)")
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else:
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logging.info(f"{prefix}{doc_num} docs synchronized till {next_update}")
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SyncLogsService.done(task["id"], task["connector_id"])
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task["poll_range_start"] = next_update
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async def _generate(self, task: dict):
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raise NotImplementedError
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def _get_source_prefix(self):
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return ""
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class _BlobLikeBase(SyncBase):
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DEFAULT_BUCKET_TYPE: str = "s3"
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async def _generate(self, task: dict):
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bucket_type = self.conf.get("bucket_type", self.DEFAULT_BUCKET_TYPE)
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self.connector = BlobStorageConnector(
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bucket_type=bucket_type,
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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 = (
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self.connector.load_from_state()
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if task["reindex"] == "1" or not task["poll_range_start"]
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else self.connector.poll_source(
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task["poll_range_start"].timestamp(),
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datetime.now(timezone.utc).timestamp(),
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)
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)
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begin_info = (
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"totally"
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if task["reindex"] == "1" or not task["poll_range_start"]
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else "from {}".format(task["poll_range_start"])
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)
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logging.info(
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"Connect to {}: {}(prefix/{}) {}".format(
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bucket_type,
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self.conf["bucket_name"],
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self.conf.get("prefix", ""),
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begin_info,
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)
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)
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return document_batch_generator
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class S3(_BlobLikeBase):
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SOURCE_NAME: str = FileSource.S3
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DEFAULT_BUCKET_TYPE: str = "s3"
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class R2(_BlobLikeBase):
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SOURCE_NAME: str = FileSource.R2
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DEFAULT_BUCKET_TYPE: str = "r2"
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class OCI_STORAGE(_BlobLikeBase):
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SOURCE_NAME: str = FileSource.OCI_STORAGE
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DEFAULT_BUCKET_TYPE: str = "oci_storage"
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class GOOGLE_CLOUD_STORAGE(_BlobLikeBase):
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SOURCE_NAME: str = FileSource.GOOGLE_CLOUD_STORAGE
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DEFAULT_BUCKET_TYPE: str = "google_cloud_storage"
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class Confluence(SyncBase):
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SOURCE_NAME: str = FileSource.CONFLUENCE
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async def _generate(self, task: dict):
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from common.data_source.config import DocumentSource
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from common.data_source.interfaces import StaticCredentialsProvider
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index_mode = (self.conf.get("index_mode") or "everything").lower()
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if index_mode not in {"everything", "space", "page"}:
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index_mode = "everything"
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space = ""
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page_id = ""
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index_recursively = False
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if index_mode == "space":
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space = (self.conf.get("space") or "").strip()
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if not space:
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raise ValueError("Space Key is required when indexing a specific Confluence space.")
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elif index_mode == "page":
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page_id = (self.conf.get("page_id") or "").strip()
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if not page_id:
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raise ValueError("Page ID is required when indexing a specific Confluence page.")
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index_recursively = bool(self.conf.get("index_recursively", False))
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self.connector = ConfluenceConnector(
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wiki_base=self.conf["wiki_base"],
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is_cloud=self.conf.get("is_cloud", True),
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space=space,
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page_id=page_id,
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index_recursively=index_recursively,
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)
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credentials_provider = StaticCredentialsProvider(tenant_id=task["tenant_id"],
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connector_name=DocumentSource.CONFLUENCE,
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credential_json=self.conf["credentials"])
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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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raw_batch_size = self.conf.get("sync_batch_size") or self.conf.get("batch_size") or INDEX_BATCH_SIZE
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try:
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batch_size = int(raw_batch_size)
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except (TypeError, ValueError):
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batch_size = INDEX_BATCH_SIZE
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if batch_size <= 0:
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batch_size = INDEX_BATCH_SIZE
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def document_batches():
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checkpoint = self.connector.build_dummy_checkpoint()
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pending_docs = []
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iterations = 0
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iteration_limit = 100_000
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while checkpoint.has_more:
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wrapper = CheckpointOutputWrapper()
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doc_generator = wrapper(self.connector.load_from_checkpoint(start_time, end_time, checkpoint))
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for document, failure, next_checkpoint in doc_generator:
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if failure is not None:
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logging.warning("Confluence connector failure: %s",
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getattr(failure, "failure_message", failure))
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continue
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if document is not None:
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pending_docs.append(document)
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if len(pending_docs) >= batch_size:
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yield pending_docs
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pending_docs = []
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if next_checkpoint is not None:
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checkpoint = next_checkpoint
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iterations += 1
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if iterations > iteration_limit:
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raise RuntimeError("Too many iterations while loading Confluence documents.")
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if pending_docs:
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yield pending_docs
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def wrapper():
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for batch in document_batches():
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yield batch
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logging.info("Connect to Confluence: {} {}".format(self.conf["wiki_base"], begin_info))
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return wrapper()
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class Notion(SyncBase):
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SOURCE_NAME: str = FileSource.NOTION
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async def _generate(self, task: dict):
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self.connector = NotionConnector(root_page_id=self.conf["root_page_id"])
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self.connector.load_credentials(self.conf["credentials"])
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document_generator = (
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self.connector.load_from_state()
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if task["reindex"] == "1" or not task["poll_range_start"]
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else self.connector.poll_source(task["poll_range_start"].timestamp(),
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datetime.now(timezone.utc).timestamp())
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)
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begin_info = "totally" if task["reindex"] == "1" or not task["poll_range_start"] else "from {}".format(
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task["poll_range_start"])
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logging.info("Connect to Notion: root({}) {}".format(self.conf["root_page_id"], begin_info))
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return document_generator
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class Discord(SyncBase):
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SOURCE_NAME: str = FileSource.DISCORD
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async def _generate(self, task: dict):
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server_ids: str | None = self.conf.get("server_ids", None)
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# "channel1,channel2"
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channel_names: str | None = self.conf.get("channel_names", None)
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self.connector = DiscordConnector(
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server_ids=server_ids.split(",") if server_ids else [],
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channel_names=channel_names.split(",") if channel_names else [],
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start_date=datetime(1970, 1, 1, tzinfo=timezone.utc).strftime("%Y-%m-%d"),
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batch_size=self.conf.get("batch_size", 1024),
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)
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self.connector.load_credentials(self.conf["credentials"])
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document_generator = (
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self.connector.load_from_state()
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if task["reindex"] == "1" or not task["poll_range_start"]
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else self.connector.poll_source(task["poll_range_start"].timestamp(),
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datetime.now(timezone.utc).timestamp())
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)
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begin_info = "totally" if task["reindex"] == "1" or not task["poll_range_start"] else "from {}".format(
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task["poll_range_start"])
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logging.info("Connect to Discord: servers({}), channel({}) {}".format(server_ids, channel_names, begin_info))
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return document_generator
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class Gmail(SyncBase):
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SOURCE_NAME: str = FileSource.GMAIL
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async def _generate(self, task: dict):
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# Gmail sync reuses the generic LoadConnector/PollConnector interface
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# implemented by common.data_source.gmail_connector.GmailConnector.
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#
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# Config expectations (self.conf):
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# credentials: Gmail / Workspace OAuth JSON (with primary admin email)
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# batch_size: optional, defaults to INDEX_BATCH_SIZE
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batch_size = self.conf.get("batch_size", INDEX_BATCH_SIZE)
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self.connector = GmailConnector(batch_size=batch_size)
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credentials = self.conf.get("credentials")
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if not credentials:
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raise ValueError("Gmail connector is missing credentials.")
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new_credentials = self.connector.load_credentials(credentials)
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if new_credentials:
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# Persist rotated / refreshed credentials back to connector config
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try:
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updated_conf = copy.deepcopy(self.conf)
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updated_conf["credentials"] = new_credentials
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ConnectorService.update_by_id(task["connector_id"], {"config": updated_conf})
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self.conf = updated_conf
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logging.info(
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"Persisted refreshed Gmail credentials for connector %s",
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task["connector_id"],
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)
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except Exception:
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logging.exception(
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"Failed to persist refreshed Gmail credentials for connector %s",
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task["connector_id"],
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)
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# Decide between full reindex and incremental polling by time range.
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if task["reindex"] == "1" or not task.get("poll_range_start"):
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start_time = None
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end_time = None
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begin_info = "totally"
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document_generator = self.connector.load_from_state()
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else:
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poll_start = task["poll_range_start"]
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# Defensive: if poll_start is somehow None, fall back to full load
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if poll_start is None:
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start_time = None
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end_time = None
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begin_info = "totally"
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document_generator = self.connector.load_from_state()
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else:
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start_time = poll_start.timestamp()
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end_time = datetime.now(timezone.utc).timestamp()
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begin_info = f"from {poll_start}"
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document_generator = self.connector.poll_source(start_time, end_time)
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|
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try:
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admin_email = self.connector.primary_admin_email
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except RuntimeError:
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admin_email = "unknown"
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logging.info(f"Connect to Gmail as {admin_email} {begin_info}")
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return document_generator
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|
|
|
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class Dropbox(SyncBase):
|
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SOURCE_NAME: str = FileSource.DROPBOX
|
|
|
|
async def _generate(self, task: dict):
|
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self.connector = DropboxConnector(batch_size=self.conf.get("batch_size", INDEX_BATCH_SIZE))
|
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self.connector.load_credentials(self.conf["credentials"])
|
|
|
|
if task["reindex"] == "1" or not task["poll_range_start"]:
|
|
document_generator = self.connector.load_from_state()
|
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begin_info = "totally"
|
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else:
|
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poll_start = task["poll_range_start"]
|
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document_generator = self.connector.poll_source(
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poll_start.timestamp(), datetime.now(timezone.utc).timestamp()
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)
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begin_info = f"from {poll_start}"
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|
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logging.info(f"[Dropbox] Connect to Dropbox {begin_info}")
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return document_generator
|
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|
|
|
|
class GoogleDrive(SyncBase):
|
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SOURCE_NAME: str = FileSource.GOOGLE_DRIVE
|
|
|
|
async def _generate(self, task: dict):
|
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connector_kwargs = {
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"include_shared_drives": self.conf.get("include_shared_drives", False),
|
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"include_my_drives": self.conf.get("include_my_drives", False),
|
|
"include_files_shared_with_me": self.conf.get("include_files_shared_with_me", False),
|
|
"shared_drive_urls": self.conf.get("shared_drive_urls"),
|
|
"my_drive_emails": self.conf.get("my_drive_emails"),
|
|
"shared_folder_urls": self.conf.get("shared_folder_urls"),
|
|
"specific_user_emails": self.conf.get("specific_user_emails"),
|
|
"batch_size": self.conf.get("batch_size", INDEX_BATCH_SIZE),
|
|
}
|
|
self.connector = GoogleDriveConnector(**connector_kwargs)
|
|
self.connector.set_allow_images(self.conf.get("allow_images", False))
|
|
|
|
credentials = self.conf.get("credentials")
|
|
if not credentials:
|
|
raise ValueError("Google Drive connector is missing credentials.")
|
|
|
|
new_credentials = self.connector.load_credentials(credentials)
|
|
if new_credentials:
|
|
self._persist_rotated_credentials(task["connector_id"], new_credentials)
|
|
|
|
if task["reindex"] == "1" or not task["poll_range_start"]:
|
|
start_time = 0.0
|
|
begin_info = "totally"
|
|
else:
|
|
start_time = task["poll_range_start"].timestamp()
|
|
begin_info = f"from {task['poll_range_start']}"
|
|
|
|
end_time = datetime.now(timezone.utc).timestamp()
|
|
raw_batch_size = self.conf.get("sync_batch_size") or self.conf.get("batch_size") or INDEX_BATCH_SIZE
|
|
try:
|
|
batch_size = int(raw_batch_size)
|
|
except (TypeError, ValueError):
|
|
batch_size = INDEX_BATCH_SIZE
|
|
if batch_size <= 0:
|
|
batch_size = INDEX_BATCH_SIZE
|
|
|
|
def document_batches():
|
|
checkpoint = self.connector.build_dummy_checkpoint()
|
|
pending_docs = []
|
|
iterations = 0
|
|
iteration_limit = 100_000
|
|
|
|
while checkpoint.has_more:
|
|
wrapper = CheckpointOutputWrapper()
|
|
doc_generator = wrapper(self.connector.load_from_checkpoint(start_time, end_time, checkpoint))
|
|
for document, failure, next_checkpoint in doc_generator:
|
|
if failure is not None:
|
|
logging.warning("Google Drive connector failure: %s",
|
|
getattr(failure, "failure_message", failure))
|
|
continue
|
|
if document is not None:
|
|
pending_docs.append(document)
|
|
if len(pending_docs) >= batch_size:
|
|
yield pending_docs
|
|
pending_docs = []
|
|
if next_checkpoint is not None:
|
|
checkpoint = next_checkpoint
|
|
|
|
iterations += 1
|
|
if iterations > iteration_limit:
|
|
raise RuntimeError("Too many iterations while loading Google Drive documents.")
|
|
|
|
if pending_docs:
|
|
yield pending_docs
|
|
|
|
try:
|
|
admin_email = self.connector.primary_admin_email
|
|
except RuntimeError:
|
|
admin_email = "unknown"
|
|
logging.info(f"Connect to Google Drive as {admin_email} {begin_info}")
|
|
return document_batches()
|
|
|
|
def _persist_rotated_credentials(self, connector_id: str, credentials: dict[str, Any]) -> None:
|
|
try:
|
|
updated_conf = copy.deepcopy(self.conf)
|
|
updated_conf["credentials"] = credentials
|
|
ConnectorService.update_by_id(connector_id, {"config": updated_conf})
|
|
self.conf = updated_conf
|
|
logging.info("Persisted refreshed Google Drive credentials for connector %s", connector_id)
|
|
except Exception:
|
|
logging.exception("Failed to persist refreshed Google Drive credentials for connector %s", connector_id)
|
|
|
|
|
|
class Jira(SyncBase):
|
|
SOURCE_NAME: str = FileSource.JIRA
|
|
|
|
def _get_source_prefix(self):
|
|
return "[Jira]"
|
|
|
|
async def _generate(self, task: dict):
|
|
connector_kwargs = {
|
|
"jira_base_url": self.conf["base_url"],
|
|
"project_key": self.conf.get("project_key"),
|
|
"jql_query": self.conf.get("jql_query"),
|
|
"batch_size": self.conf.get("batch_size", INDEX_BATCH_SIZE),
|
|
"include_comments": self.conf.get("include_comments", True),
|
|
"include_attachments": self.conf.get("include_attachments", False),
|
|
"labels_to_skip": self._normalize_list(self.conf.get("labels_to_skip")),
|
|
"comment_email_blacklist": self._normalize_list(self.conf.get("comment_email_blacklist")),
|
|
"scoped_token": self.conf.get("scoped_token", False),
|
|
"attachment_size_limit": self.conf.get("attachment_size_limit"),
|
|
"timezone_offset": self.conf.get("timezone_offset"),
|
|
}
|
|
|
|
self.connector = JiraConnector(**connector_kwargs)
|
|
|
|
credentials = self.conf.get("credentials")
|
|
if not credentials:
|
|
raise ValueError("Jira connector is missing credentials.")
|
|
|
|
self.connector.load_credentials(credentials)
|
|
self.connector.validate_connector_settings()
|
|
|
|
if task["reindex"] == "1" or not task["poll_range_start"]:
|
|
start_time = 0.0
|
|
begin_info = "totally"
|
|
else:
|
|
start_time = task["poll_range_start"].timestamp()
|
|
begin_info = f"from {task['poll_range_start']}"
|
|
|
|
end_time = datetime.now(timezone.utc).timestamp()
|
|
|
|
raw_batch_size = self.conf.get("sync_batch_size") or self.conf.get("batch_size") or INDEX_BATCH_SIZE
|
|
try:
|
|
batch_size = int(raw_batch_size)
|
|
except (TypeError, ValueError):
|
|
batch_size = INDEX_BATCH_SIZE
|
|
if batch_size <= 0:
|
|
batch_size = INDEX_BATCH_SIZE
|
|
|
|
def document_batches():
|
|
checkpoint = self.connector.build_dummy_checkpoint()
|
|
pending_docs = []
|
|
iterations = 0
|
|
iteration_limit = 100_000
|
|
|
|
while checkpoint.has_more:
|
|
wrapper = CheckpointOutputWrapper()
|
|
generator = wrapper(
|
|
self.connector.load_from_checkpoint(
|
|
start_time,
|
|
end_time,
|
|
checkpoint,
|
|
)
|
|
)
|
|
for document, failure, next_checkpoint in generator:
|
|
if failure is not None:
|
|
logging.warning(
|
|
f"[Jira] Jira connector failure: {getattr(failure, 'failure_message', failure)}"
|
|
)
|
|
continue
|
|
if document is not None:
|
|
pending_docs.append(document)
|
|
if len(pending_docs) >= batch_size:
|
|
yield pending_docs
|
|
pending_docs = []
|
|
if next_checkpoint is not None:
|
|
checkpoint = next_checkpoint
|
|
|
|
iterations += 1
|
|
if iterations > iteration_limit:
|
|
logging.error(f"[Jira] Task {task.get('id')} exceeded iteration limit ({iteration_limit}).")
|
|
raise RuntimeError("Too many iterations while loading Jira documents.")
|
|
|
|
if pending_docs:
|
|
yield pending_docs
|
|
|
|
logging.info(f"[Jira] Connect to Jira {connector_kwargs['jira_base_url']} {begin_info}")
|
|
return document_batches()
|
|
|
|
@staticmethod
|
|
def _normalize_list(values: Any) -> list[str] | None:
|
|
if values is None:
|
|
return None
|
|
if isinstance(values, str):
|
|
values = [item.strip() for item in values.split(",")]
|
|
return [str(value).strip() for value in values if value is not None and str(value).strip()]
|
|
|
|
|
|
class SharePoint(SyncBase):
|
|
SOURCE_NAME: str = FileSource.SHAREPOINT
|
|
|
|
async def _generate(self, task: dict):
|
|
pass
|
|
|
|
|
|
class Slack(SyncBase):
|
|
SOURCE_NAME: str = FileSource.SLACK
|
|
|
|
async def _generate(self, task: dict):
|
|
pass
|
|
|
|
|
|
class Teams(SyncBase):
|
|
SOURCE_NAME: str = FileSource.TEAMS
|
|
|
|
async def _generate(self, task: dict):
|
|
pass
|
|
|
|
|
|
class WebDAV(SyncBase):
|
|
SOURCE_NAME: str = FileSource.WEBDAV
|
|
|
|
async def _generate(self, task: dict):
|
|
self.connector = WebDAVConnector(
|
|
base_url=self.conf["base_url"],
|
|
remote_path=self.conf.get("remote_path", "/")
|
|
)
|
|
self.connector.load_credentials(self.conf["credentials"])
|
|
|
|
logging.info(f"Task info: reindex={task['reindex']}, poll_range_start={task['poll_range_start']}")
|
|
|
|
if task["reindex"] == "1" or not task["poll_range_start"]:
|
|
logging.info("Using load_from_state (full sync)")
|
|
document_batch_generator = self.connector.load_from_state()
|
|
begin_info = "totally"
|
|
else:
|
|
start_ts = task["poll_range_start"].timestamp()
|
|
end_ts = datetime.now(timezone.utc).timestamp()
|
|
logging.info(f"Polling WebDAV from {task['poll_range_start']} (ts: {start_ts}) to now (ts: {end_ts})")
|
|
document_batch_generator = self.connector.poll_source(start_ts, end_ts)
|
|
begin_info = "from {}".format(task["poll_range_start"])
|
|
|
|
logging.info("Connect to WebDAV: {}(path: {}) {}".format(
|
|
self.conf["base_url"],
|
|
self.conf.get("remote_path", "/"),
|
|
begin_info
|
|
))
|
|
|
|
def wrapper():
|
|
for document_batch in document_batch_generator:
|
|
yield document_batch
|
|
|
|
return wrapper()
|
|
|
|
|
|
class Moodle(SyncBase):
|
|
SOURCE_NAME: str = FileSource.MOODLE
|
|
|
|
async def _generate(self, task: dict):
|
|
self.connector = MoodleConnector(
|
|
moodle_url=self.conf["moodle_url"],
|
|
batch_size=self.conf.get("batch_size", INDEX_BATCH_SIZE)
|
|
)
|
|
|
|
self.connector.load_credentials(self.conf["credentials"])
|
|
|
|
# Determine the time range for synchronization based on reindex or poll_range_start
|
|
poll_start = task.get("poll_range_start")
|
|
|
|
if task["reindex"] == "1" or poll_start is None:
|
|
document_generator = self.connector.load_from_state()
|
|
begin_info = "totally"
|
|
else:
|
|
document_generator = self.connector.poll_source(
|
|
poll_start.timestamp(),
|
|
datetime.now(timezone.utc).timestamp(),
|
|
)
|
|
begin_info = f"from {poll_start}"
|
|
|
|
logging.info("Connect to Moodle: {} {}".format(self.conf["moodle_url"], begin_info))
|
|
return document_generator
|
|
|
|
|
|
class BOX(SyncBase):
|
|
SOURCE_NAME: str = FileSource.BOX
|
|
|
|
async def _generate(self, task: dict):
|
|
self.connector = BoxConnector(
|
|
folder_id=self.conf.get("folder_id", "0"),
|
|
)
|
|
|
|
credential = json.loads(self.conf['credentials']['box_tokens'])
|
|
|
|
auth = BoxOAuth(
|
|
OAuthConfig(
|
|
client_id=credential['client_id'],
|
|
client_secret=credential['client_secret'],
|
|
)
|
|
)
|
|
|
|
token = AccessToken(
|
|
access_token=credential['access_token'],
|
|
refresh_token=credential['refresh_token'],
|
|
)
|
|
auth.token_storage.store(token)
|
|
|
|
self.connector.load_credentials(auth)
|
|
poll_start = task["poll_range_start"]
|
|
|
|
if task["reindex"] == "1" or poll_start is None:
|
|
document_generator = self.connector.load_from_state()
|
|
begin_info = "totally"
|
|
else:
|
|
document_generator = self.connector.poll_source(
|
|
poll_start.timestamp(),
|
|
datetime.now(timezone.utc).timestamp(),
|
|
)
|
|
begin_info = f"from {poll_start}"
|
|
logging.info("Connect to Box: folder_id({}) {}".format(self.conf["folder_id"], begin_info))
|
|
return document_generator
|
|
|
|
|
|
class Airtable(SyncBase):
|
|
SOURCE_NAME: str = FileSource.AIRTABLE
|
|
|
|
async def _generate(self, task: dict):
|
|
"""
|
|
Sync files from Airtable attachments.
|
|
"""
|
|
|
|
self.connector = AirtableConnector(
|
|
base_id=self.conf.get("base_id"),
|
|
table_name_or_id=self.conf.get("table_name_or_id"),
|
|
)
|
|
|
|
credentials = self.conf.get("credentials", {})
|
|
if "airtable_access_token" not in credentials:
|
|
raise ValueError("Missing airtable_access_token in credentials")
|
|
|
|
self.connector.load_credentials(
|
|
{"airtable_access_token": credentials["airtable_access_token"]}
|
|
)
|
|
|
|
poll_start = task.get("poll_range_start")
|
|
|
|
if task.get("reindex") == "1" or poll_start is None:
|
|
document_generator = self.connector.load_from_state()
|
|
begin_info = "totally"
|
|
else:
|
|
document_generator = self.connector.poll_source(
|
|
poll_start.timestamp(),
|
|
datetime.now(timezone.utc).timestamp(),
|
|
)
|
|
begin_info = f"from {poll_start}"
|
|
|
|
logging.info(
|
|
"Connect to Airtable: base_id(%s), table(%s) %s",
|
|
self.conf.get("base_id"),
|
|
self.conf.get("table_name_or_id"),
|
|
begin_info,
|
|
)
|
|
|
|
return document_generator
|
|
|
|
class Asana(SyncBase):
|
|
SOURCE_NAME: str = FileSource.ASANA
|
|
|
|
async def _generate(self, task: dict):
|
|
self.connector = AsanaConnector(
|
|
self.conf.get("asana_workspace_id"),
|
|
self.conf.get("asana_project_ids"),
|
|
self.conf.get("asana_team_id"),
|
|
)
|
|
credentials = self.conf.get("credentials", {})
|
|
if "asana_api_token_secret" not in credentials:
|
|
raise ValueError("Missing asana_api_token_secret in credentials")
|
|
|
|
self.connector.load_credentials(
|
|
{"asana_api_token_secret": credentials["asana_api_token_secret"]}
|
|
)
|
|
|
|
if task.get("reindex") == "1" or not task.get("poll_range_start"):
|
|
document_generator = self.connector.load_from_state()
|
|
begin_info = "totally"
|
|
else:
|
|
poll_start = task.get("poll_range_start")
|
|
if poll_start is None:
|
|
document_generator = self.connector.load_from_state()
|
|
begin_info = "totally"
|
|
else:
|
|
document_generator = self.connector.poll_source(
|
|
poll_start.timestamp(),
|
|
datetime.now(timezone.utc).timestamp(),
|
|
)
|
|
begin_info = f"from {poll_start}"
|
|
|
|
logging.info(
|
|
"Connect to Asana: workspace_id(%s), project_ids(%s), team_id(%s) %s",
|
|
self.conf.get("asana_workspace_id"),
|
|
self.conf.get("asana_project_ids"),
|
|
self.conf.get("asana_team_id"),
|
|
begin_info,
|
|
)
|
|
|
|
return document_generator
|
|
|
|
class Github(SyncBase):
|
|
SOURCE_NAME: str = FileSource.GITHUB
|
|
|
|
async def _generate(self, task: dict):
|
|
"""
|
|
Sync files from Github repositories.
|
|
"""
|
|
from common.data_source.connector_runner import ConnectorRunner
|
|
|
|
self.connector = GithubConnector(
|
|
repo_owner=self.conf.get("repository_owner"),
|
|
repositories=self.conf.get("repository_name"),
|
|
include_prs=self.conf.get("include_pull_requests", False),
|
|
include_issues=self.conf.get("include_issues", False),
|
|
)
|
|
|
|
credentials = self.conf.get("credentials", {})
|
|
if "github_access_token" not in credentials:
|
|
raise ValueError("Missing github_access_token in credentials")
|
|
|
|
self.connector.load_credentials(
|
|
{"github_access_token": credentials["github_access_token"]}
|
|
)
|
|
|
|
if task.get("reindex") == "1" or not task.get("poll_range_start"):
|
|
start_time = datetime.fromtimestamp(0, tz=timezone.utc)
|
|
begin_info = "totally"
|
|
else:
|
|
start_time = task.get("poll_range_start")
|
|
begin_info = f"from {start_time}"
|
|
|
|
end_time = datetime.now(timezone.utc)
|
|
|
|
runner = ConnectorRunner(
|
|
connector=self.connector,
|
|
batch_size=self.conf.get("batch_size", INDEX_BATCH_SIZE),
|
|
include_permissions=False,
|
|
time_range=(start_time, end_time)
|
|
)
|
|
|
|
def document_batches():
|
|
checkpoint = self.connector.build_dummy_checkpoint()
|
|
|
|
while checkpoint.has_more:
|
|
for doc_batch, failure, next_checkpoint in runner.run(checkpoint):
|
|
if failure is not None:
|
|
logging.warning(
|
|
"Github connector failure: %s",
|
|
getattr(failure, "failure_message", failure),
|
|
)
|
|
continue
|
|
if doc_batch is not None:
|
|
yield doc_batch
|
|
if next_checkpoint is not None:
|
|
checkpoint = next_checkpoint
|
|
|
|
def wrapper():
|
|
for batch in document_batches():
|
|
yield batch
|
|
|
|
logging.info(
|
|
"Connect to Github: org_name(%s), repo_names(%s) for %s",
|
|
self.conf.get("repository_owner"),
|
|
self.conf.get("repository_name"),
|
|
begin_info,
|
|
)
|
|
|
|
return wrapper()
|
|
|
|
class IMAP(SyncBase):
|
|
SOURCE_NAME: str = FileSource.IMAP
|
|
|
|
async def _generate(self, task):
|
|
from common.data_source.config import DocumentSource
|
|
from common.data_source.interfaces import StaticCredentialsProvider
|
|
self.connector = ImapConnector(
|
|
host=self.conf.get("imap_host"),
|
|
port=self.conf.get("imap_port"),
|
|
mailboxes=self.conf.get("imap_mailbox"),
|
|
)
|
|
credentials_provider = StaticCredentialsProvider(tenant_id=task["tenant_id"], connector_name=DocumentSource.IMAP, credential_json=self.conf["credentials"])
|
|
self.connector.set_credentials_provider(credentials_provider)
|
|
end_time = datetime.now(timezone.utc).timestamp()
|
|
if task["reindex"] == "1" or not task["poll_range_start"]:
|
|
start_time = end_time - self.conf.get("poll_range",30) * 24 * 60 * 60
|
|
begin_info = "totally"
|
|
else:
|
|
start_time = task["poll_range_start"].timestamp()
|
|
begin_info = f"from {task['poll_range_start']}"
|
|
raw_batch_size = self.conf.get("sync_batch_size") or self.conf.get("batch_size") or INDEX_BATCH_SIZE
|
|
try:
|
|
batch_size = int(raw_batch_size)
|
|
except (TypeError, ValueError):
|
|
batch_size = INDEX_BATCH_SIZE
|
|
if batch_size <= 0:
|
|
batch_size = INDEX_BATCH_SIZE
|
|
|
|
def document_batches():
|
|
checkpoint = self.connector.build_dummy_checkpoint()
|
|
pending_docs = []
|
|
iterations = 0
|
|
iteration_limit = 100_000
|
|
while checkpoint.has_more:
|
|
wrapper = CheckpointOutputWrapper()
|
|
doc_generator = wrapper(self.connector.load_from_checkpoint(start_time, end_time, checkpoint))
|
|
for document, failure, next_checkpoint in doc_generator:
|
|
if failure is not None:
|
|
logging.warning("IMAP connector failure: %s", getattr(failure, "failure_message", failure))
|
|
continue
|
|
if document is not None:
|
|
pending_docs.append(document)
|
|
if len(pending_docs) >= batch_size:
|
|
yield pending_docs
|
|
pending_docs = []
|
|
if next_checkpoint is not None:
|
|
checkpoint = next_checkpoint
|
|
|
|
iterations += 1
|
|
if iterations > iteration_limit:
|
|
raise RuntimeError("Too many iterations while loading IMAP documents.")
|
|
|
|
if pending_docs:
|
|
yield pending_docs
|
|
|
|
def wrapper():
|
|
for batch in document_batches():
|
|
yield batch
|
|
|
|
logging.info(
|
|
"Connect to IMAP: host(%s) port(%s) user(%s) folder(%s) %s",
|
|
self.conf["imap_host"],
|
|
self.conf["imap_port"],
|
|
self.conf["credentials"]["imap_username"],
|
|
self.conf["imap_mailbox"],
|
|
begin_info
|
|
)
|
|
return wrapper()
|
|
|
|
class Zendesk(SyncBase):
|
|
|
|
SOURCE_NAME: str = FileSource.ZENDESK
|
|
async def _generate(self, task: dict):
|
|
self.connector = ZendeskConnector(content_type=self.conf.get("zendesk_content_type"))
|
|
self.connector.load_credentials(self.conf["credentials"])
|
|
|
|
end_time = datetime.now(timezone.utc).timestamp()
|
|
if task["reindex"] == "1" or not task.get("poll_range_start"):
|
|
start_time = 0
|
|
begin_info = "totally"
|
|
else:
|
|
start_time = task["poll_range_start"].timestamp()
|
|
begin_info = f"from {task['poll_range_start']}"
|
|
|
|
raw_batch_size = (
|
|
self.conf.get("sync_batch_size")
|
|
or self.conf.get("batch_size")
|
|
or INDEX_BATCH_SIZE
|
|
)
|
|
try:
|
|
batch_size = int(raw_batch_size)
|
|
except (TypeError, ValueError):
|
|
batch_size = INDEX_BATCH_SIZE
|
|
|
|
if batch_size <= 0:
|
|
batch_size = INDEX_BATCH_SIZE
|
|
|
|
def document_batches():
|
|
checkpoint = self.connector.build_dummy_checkpoint()
|
|
pending_docs = []
|
|
iterations = 0
|
|
iteration_limit = 100_000
|
|
|
|
while checkpoint.has_more:
|
|
wrapper = CheckpointOutputWrapper()
|
|
doc_generator = wrapper(
|
|
self.connector.load_from_checkpoint(
|
|
start_time, end_time, checkpoint
|
|
)
|
|
)
|
|
|
|
for document, failure, next_checkpoint in doc_generator:
|
|
if failure is not None:
|
|
logging.warning(
|
|
"Zendesk connector failure: %s",
|
|
getattr(failure, "failure_message", failure),
|
|
)
|
|
continue
|
|
|
|
if document is not None:
|
|
pending_docs.append(document)
|
|
if len(pending_docs) >= batch_size:
|
|
yield pending_docs
|
|
pending_docs = []
|
|
|
|
if next_checkpoint is not None:
|
|
checkpoint = next_checkpoint
|
|
|
|
iterations += 1
|
|
if iterations > iteration_limit:
|
|
raise RuntimeError(
|
|
"Too many iterations while loading Zendesk documents."
|
|
)
|
|
|
|
if pending_docs:
|
|
yield pending_docs
|
|
|
|
def wrapper():
|
|
for batch in document_batches():
|
|
yield batch
|
|
|
|
logging.info(
|
|
"Connect to Zendesk: subdomain(%s) %s",
|
|
self.conf['credentials'].get("zendesk_subdomain"),
|
|
begin_info,
|
|
)
|
|
|
|
return wrapper()
|
|
|
|
|
|
class Gitlab(SyncBase):
|
|
SOURCE_NAME: str = FileSource.GITLAB
|
|
|
|
async def _generate(self, task: dict):
|
|
"""
|
|
Sync files from GitLab attachments.
|
|
"""
|
|
|
|
self.connector = GitlabConnector(
|
|
project_owner= self.conf.get("project_owner"),
|
|
project_name= self.conf.get("project_name"),
|
|
include_mrs = self.conf.get("include_mrs", False),
|
|
include_issues = self.conf.get("include_issues", False),
|
|
include_code_files= self.conf.get("include_code_files", False),
|
|
)
|
|
|
|
self.connector.load_credentials(
|
|
{
|
|
"gitlab_access_token": self.conf.get("credentials", {}).get("gitlab_access_token"),
|
|
"gitlab_url": self.conf.get("gitlab_url"),
|
|
}
|
|
)
|
|
|
|
if task["reindex"] == "1" or not task["poll_range_start"]:
|
|
document_generator = self.connector.load_from_state()
|
|
begin_info = "totally"
|
|
else:
|
|
poll_start = task["poll_range_start"]
|
|
if poll_start is None:
|
|
document_generator = self.connector.load_from_state()
|
|
begin_info = "totally"
|
|
else:
|
|
document_generator = self.connector.poll_source(
|
|
poll_start.timestamp(),
|
|
datetime.now(timezone.utc).timestamp()
|
|
)
|
|
begin_info = "from {}".format(poll_start)
|
|
logging.info("Connect to Gitlab: ({}) {}".format(self.conf["project_name"], begin_info))
|
|
return document_generator
|
|
|
|
|
|
class Bitbucket(SyncBase):
|
|
SOURCE_NAME: str = FileSource.BITBUCKET
|
|
|
|
async def _generate(self, task: dict):
|
|
self.connector = BitbucketConnector(
|
|
workspace=self.conf.get("workspace"),
|
|
repositories=self.conf.get("repository_slugs"),
|
|
projects=self.conf.get("projects"),
|
|
)
|
|
|
|
self.connector.load_credentials(
|
|
{
|
|
"bitbucket_email": self.conf["credentials"].get("bitbucket_account_email"),
|
|
"bitbucket_api_token": self.conf["credentials"].get("bitbucket_api_token"),
|
|
}
|
|
)
|
|
|
|
if task["reindex"] == "1" or not task["poll_range_start"]:
|
|
start_time = datetime.fromtimestamp(0, tz=timezone.utc)
|
|
begin_info = "totally"
|
|
else:
|
|
start_time = task.get("poll_range_start")
|
|
begin_info = f"from {start_time}"
|
|
|
|
end_time = datetime.now(timezone.utc)
|
|
|
|
def document_batches():
|
|
checkpoint = self.connector.build_dummy_checkpoint()
|
|
|
|
while checkpoint.has_more:
|
|
gen = self.connector.load_from_checkpoint(
|
|
start=start_time.timestamp(),
|
|
end=end_time.timestamp(),
|
|
checkpoint=checkpoint)
|
|
|
|
while True:
|
|
try:
|
|
item = next(gen)
|
|
if isinstance(item, ConnectorFailure):
|
|
logging.exception(
|
|
"Bitbucket connector failure: %s",
|
|
item.failure_message)
|
|
break
|
|
yield [item]
|
|
except StopIteration as e:
|
|
checkpoint = e.value
|
|
break
|
|
|
|
def wrapper():
|
|
for batch in document_batches():
|
|
yield batch
|
|
|
|
logging.info(
|
|
"Connect to Bitbucket: workspace(%s), %s",
|
|
self.conf.get("workspace"),
|
|
begin_info,
|
|
)
|
|
|
|
return wrapper()
|
|
|
|
class SeaFile(SyncBase):
|
|
SOURCE_NAME: str = FileSource.SEAFILE
|
|
|
|
async def _generate(self, task: dict):
|
|
self.connector = SeaFileConnector(
|
|
seafile_url=self.conf["seafile_url"],
|
|
batch_size=self.conf.get("batch_size", INDEX_BATCH_SIZE),
|
|
include_shared=self.conf.get("include_shared", True)
|
|
)
|
|
|
|
self.connector.load_credentials(self.conf["credentials"])
|
|
|
|
# Determine the time range for synchronization based on reindex or poll_range_start
|
|
poll_start = task.get("poll_range_start")
|
|
|
|
if task["reindex"] == "1" or poll_start is None:
|
|
document_generator = self.connector.load_from_state()
|
|
begin_info = "totally"
|
|
else:
|
|
document_generator = self.connector.poll_source(
|
|
poll_start.timestamp(),
|
|
datetime.now(timezone.utc).timestamp(),
|
|
)
|
|
begin_info = f"from {poll_start}"
|
|
|
|
logging.info(
|
|
"Connect to SeaFile: {} (include_shared: {}) {}".format(
|
|
self.conf["seafile_url"],
|
|
self.conf.get("include_shared", True),
|
|
begin_info
|
|
)
|
|
)
|
|
return document_generator
|
|
|
|
func_factory = {
|
|
FileSource.S3: S3,
|
|
FileSource.R2: R2,
|
|
FileSource.OCI_STORAGE: OCI_STORAGE,
|
|
FileSource.GOOGLE_CLOUD_STORAGE: GOOGLE_CLOUD_STORAGE,
|
|
FileSource.NOTION: Notion,
|
|
FileSource.DISCORD: Discord,
|
|
FileSource.CONFLUENCE: Confluence,
|
|
FileSource.GMAIL: Gmail,
|
|
FileSource.GOOGLE_DRIVE: GoogleDrive,
|
|
FileSource.JIRA: Jira,
|
|
FileSource.SHAREPOINT: SharePoint,
|
|
FileSource.SLACK: Slack,
|
|
FileSource.TEAMS: Teams,
|
|
FileSource.MOODLE: Moodle,
|
|
FileSource.DROPBOX: Dropbox,
|
|
FileSource.WEBDAV: WebDAV,
|
|
FileSource.BOX: BOX,
|
|
FileSource.AIRTABLE: Airtable,
|
|
FileSource.ASANA: Asana,
|
|
FileSource.IMAP: IMAP,
|
|
FileSource.ZENDESK: Zendesk,
|
|
FileSource.GITHUB: Github,
|
|
FileSource.GITLAB: Gitlab,
|
|
FileSource.BITBUCKET: Bitbucket,
|
|
FileSource.SEAFILE: SeaFile,
|
|
}
|
|
|
|
|
|
async def dispatch_tasks():
|
|
while True:
|
|
try:
|
|
list(SyncLogsService.list_sync_tasks()[0])
|
|
break
|
|
except Exception as e:
|
|
logging.warning(f"DB is not ready yet: {e}")
|
|
await asyncio.sleep(3)
|
|
|
|
tasks = []
|
|
for task in SyncLogsService.list_sync_tasks()[0]:
|
|
if task["poll_range_start"]:
|
|
task["poll_range_start"] = task["poll_range_start"].astimezone(timezone.utc)
|
|
if task["poll_range_end"]:
|
|
task["poll_range_end"] = task["poll_range_end"].astimezone(timezone.utc)
|
|
func = func_factory[task["source"]](task["config"])
|
|
tasks.append(asyncio.create_task(func(task)))
|
|
|
|
try:
|
|
await asyncio.gather(*tasks, return_exceptions=False)
|
|
except Exception as e:
|
|
logging.error(f"Error in dispatch_tasks: {e}")
|
|
for t in tasks:
|
|
t.cancel()
|
|
await asyncio.gather(*tasks, return_exceptions=True)
|
|
raise
|
|
await asyncio.sleep(1)
|
|
|
|
|
|
stop_event = threading.Event()
|
|
|
|
|
|
def signal_handler(sig, frame):
|
|
logging.info("Received interrupt signal, shutting down...")
|
|
stop_event.set()
|
|
time.sleep(1)
|
|
sys.exit(0)
|
|
|
|
|
|
CONSUMER_NO = "0" if len(sys.argv) < 2 else sys.argv[1]
|
|
CONSUMER_NAME = "data_sync_" + CONSUMER_NO
|
|
|
|
|
|
async def main():
|
|
logging.info(r"""
|
|
_____ _ _____
|
|
| __ \ | | / ____|
|
|
| | | | __ _| |_ __ _ | (___ _ _ _ __ ___
|
|
| | | |/ _` | __/ _` | \___ \| | | | '_ \ / __|
|
|
| |__| | (_| | || (_| | ____) | |_| | | | | (__
|
|
|_____/ \__,_|\__\__,_| |_____/ \__, |_| |_|\___|
|
|
__/ |
|
|
|___/
|
|
""")
|
|
logging.info(f"RAGFlow version: {get_ragflow_version()}")
|
|
show_configs()
|
|
settings.init_settings()
|
|
if sys.platform != "win32":
|
|
signal.signal(signal.SIGUSR1, start_tracemalloc_and_snapshot)
|
|
signal.signal(signal.SIGUSR2, stop_tracemalloc)
|
|
signal.signal(signal.SIGINT, signal_handler)
|
|
signal.signal(signal.SIGTERM, signal_handler)
|
|
|
|
logging.info(f"RAGFlow data sync is ready after {time.time() - start_ts}s initialization.")
|
|
while not stop_event.is_set():
|
|
await dispatch_tasks()
|
|
logging.error("BUG!!! You should not reach here!!!")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
faulthandler.enable()
|
|
init_root_logger(CONSUMER_NAME)
|
|
asyncio.run(main())
|