mirror of
https://github.com/tiennm99/DocsGPT.git
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The backend import package is now docsgpt, the name it will carry on PyPI; application was far too generic to install into anyone's site-packages. git mv plus a mechanical rewrite of every import, dotted string and path reference: 734 Python files, the compose files, Dockerfile, workflows, docs, setup scripts, devcontainer, k8s manifests, vscode config, pytest and coverage config, .gitignore. Behaviour is unchanged. Kept for one release: - A top-level application package whose meta-path finder resolves application.x.y to the already-imported docsgpt.x.y object, so old imports and entry points (celery -A application.app.celery, uvicorn application.asgi:asgi_app) keep working with a FutureWarning. - Celery registers every application.* task name as an alias of its docsgpt.* task on start-up, so messages queued by the previous release still run. The redbeat key prefix moves to redbeat:docsgpt:v2: so schedule entries the previous release wrote are left unread instead of firing twice. The backend image builds from the repository root (docker build -f docsgpt/Dockerfile .) so it can ship the alias package; a root .dockerignore allow-lists docsgpt/ and application/ and keeps caches, local data, .env files, the sample index files and the Dockerfile out. Compose and the image workflows point at the new context.
418 lines
15 KiB
Python
418 lines
15 KiB
Python
import functools
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import logging
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import os
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from typing import Any, Dict, List, Optional
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import requests
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from docsgpt.parser.connectors.base import BaseConnectorLoader
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from docsgpt.parser.connectors.confluence.auth import ConfluenceAuth
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from docsgpt.parser.schema.base import Document
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logger = logging.getLogger(__name__)
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API_V2 = "https://api.atlassian.com/ex/confluence/{cloud_id}/wiki/api/v2"
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DOWNLOAD_BASE = "https://api.atlassian.com/ex/confluence/{cloud_id}/wiki"
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SUPPORTED_ATTACHMENT_TYPES = {
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"application/pdf": ".pdf",
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"application/vnd.openxmlformats-officedocument.wordprocessingml.document": ".docx",
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"application/vnd.openxmlformats-officedocument.presentationml.presentation": ".pptx",
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"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet": ".xlsx",
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"application/msword": ".doc",
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"application/vnd.ms-powerpoint": ".ppt",
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"application/vnd.ms-excel": ".xls",
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"text/plain": ".txt",
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"text/csv": ".csv",
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"text/html": ".html",
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"text/markdown": ".md",
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"application/json": ".json",
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"application/epub+zip": ".epub",
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"image/jpeg": ".jpg",
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"image/png": ".png",
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}
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def _retry_on_auth_failure(func):
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@functools.wraps(func)
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def wrapper(self, *args, **kwargs):
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try:
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return func(self, *args, **kwargs)
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except requests.exceptions.HTTPError as e:
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if e.response is not None and e.response.status_code in (401, 403):
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logger.info(
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"Auth failure in %s, refreshing token and retrying", func.__name__
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)
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try:
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new_token_info = self.auth.refresh_access_token(self.refresh_token)
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self.access_token = new_token_info["access_token"]
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self.refresh_token = new_token_info.get(
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"refresh_token", self.refresh_token
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)
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self._persist_refreshed_tokens(new_token_info)
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except Exception as refresh_err:
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raise ValueError(
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f"Authentication failed and could not be refreshed: {refresh_err}"
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) from e
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return func(self, *args, **kwargs)
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raise
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return wrapper
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class ConfluenceLoader(BaseConnectorLoader):
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def __init__(self, session_token: str):
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self.auth = ConfluenceAuth()
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self.session_token = session_token
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token_info = self.auth.get_token_info_from_session(session_token)
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self.access_token = token_info["access_token"]
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self.refresh_token = token_info["refresh_token"]
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self.cloud_id = token_info["cloud_id"]
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self.base_url = API_V2.format(cloud_id=self.cloud_id)
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self.download_base = DOWNLOAD_BASE.format(cloud_id=self.cloud_id)
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self.next_page_token = None
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def _headers(self) -> Dict[str, str]:
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return {
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"Authorization": f"Bearer {self.access_token}",
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"Accept": "application/json",
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}
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def _persist_refreshed_tokens(self, token_info: Dict[str, Any]) -> None:
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try:
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from docsgpt.storage.db.repositories.connector_sessions import (
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ConnectorSessionsRepository,
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)
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from docsgpt.storage.db.session import db_session
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sanitized = self.auth.sanitize_token_info(token_info)
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with db_session() as conn:
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repo = ConnectorSessionsRepository(conn)
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session = repo.get_by_session_token(self.session_token)
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if session:
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repo.update(str(session["id"]), {"token_info": sanitized})
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except Exception as e:
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logger.warning("Failed to persist refreshed tokens: %s", e)
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@_retry_on_auth_failure
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def load_data(self, inputs: Dict[str, Any]) -> List[Document]:
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folder_id = inputs.get("folder_id")
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file_ids = inputs.get("file_ids", [])
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limit = inputs.get("limit", 100)
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list_only = inputs.get("list_only", False)
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page_token = inputs.get("page_token")
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search_query = inputs.get("search_query")
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self.next_page_token = None
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if file_ids:
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return self._load_pages_by_ids(file_ids, list_only, search_query)
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if folder_id:
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return self._list_pages_in_space(
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folder_id, limit, list_only, page_token, search_query
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)
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return self._list_spaces(limit, page_token, search_query)
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@_retry_on_auth_failure
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def download_to_directory(self, local_dir: str, source_config: dict = None) -> dict:
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config = source_config or getattr(self, "config", {})
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file_ids = config.get("file_ids", [])
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folder_ids = config.get("folder_ids", [])
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files_downloaded = 0
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os.makedirs(local_dir, exist_ok=True)
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if isinstance(file_ids, str):
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file_ids = [file_ids]
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if isinstance(folder_ids, str):
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folder_ids = [folder_ids]
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for page_id in file_ids:
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if self._download_page(page_id, local_dir):
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files_downloaded += 1
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files_downloaded += self._download_page_attachments(page_id, local_dir)
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for space_id in folder_ids:
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files_downloaded += self._download_space(space_id, local_dir)
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return {
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"files_downloaded": files_downloaded,
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"directory_path": local_dir,
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"empty_result": files_downloaded == 0,
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"source_type": "confluence",
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"config_used": config,
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}
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def _list_spaces(
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self, limit: int, cursor: Optional[str], search_query: Optional[str]
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) -> List[Document]:
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documents: List[Document] = []
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params: Dict[str, Any] = {"limit": min(limit, 250)}
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if cursor:
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params["cursor"] = cursor
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response = requests.get(
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f"{self.base_url}/spaces",
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headers=self._headers(),
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params=params,
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timeout=30,
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)
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response.raise_for_status()
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data = response.json()
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for space in data.get("results", []):
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name = space.get("name", "")
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if search_query and search_query.lower() not in name.lower():
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continue
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documents.append(
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Document(
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text="",
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doc_id=space["id"],
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extra_info={
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"file_name": name,
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"mime_type": "folder",
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"size": None,
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"created_time": space.get("createdAt"),
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"modified_time": None,
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"source": "confluence",
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"is_folder": True,
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"space_key": space.get("key"),
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},
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)
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)
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next_link = data.get("_links", {}).get("next")
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self.next_page_token = self._extract_cursor(next_link)
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return documents
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def _list_pages_in_space(
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self,
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space_id: str,
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limit: int,
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list_only: bool,
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cursor: Optional[str],
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search_query: Optional[str],
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) -> List[Document]:
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documents: List[Document] = []
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params: Dict[str, Any] = {"limit": min(limit, 250)}
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if cursor:
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params["cursor"] = cursor
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response = requests.get(
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f"{self.base_url}/spaces/{space_id}/pages",
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headers=self._headers(),
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params=params,
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timeout=30,
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)
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response.raise_for_status()
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data = response.json()
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for page in data.get("results", []):
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title = page.get("title", "")
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if search_query and search_query.lower() not in title.lower():
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continue
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doc = self._page_to_document(
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page, load_content=not list_only, space_id=space_id
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)
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if doc:
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documents.append(doc)
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next_link = data.get("_links", {}).get("next")
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self.next_page_token = self._extract_cursor(next_link)
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return documents
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def _load_pages_by_ids(
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self, page_ids: List[str], list_only: bool, search_query: Optional[str]
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) -> List[Document]:
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documents: List[Document] = []
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for page_id in page_ids:
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try:
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params: Dict[str, str] = {}
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if not list_only:
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params["body-format"] = "storage"
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response = requests.get(
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f"{self.base_url}/pages/{page_id}",
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headers=self._headers(),
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params=params,
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timeout=30,
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)
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response.raise_for_status()
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page = response.json()
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title = page.get("title", "")
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if search_query and search_query.lower() not in title.lower():
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continue
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doc = self._page_to_document(page, load_content=not list_only)
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if doc:
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documents.append(doc)
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except Exception as e:
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logger.error("Error loading page %s: %s", page_id, e)
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return documents
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def _page_to_document(
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self,
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page: Dict[str, Any],
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load_content: bool = False,
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space_id: Optional[str] = None,
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) -> Optional[Document]:
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page_id = page.get("id")
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title = page.get("title", "Unknown")
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version = page.get("version", {})
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modified_time = version.get("createdAt") if isinstance(version, dict) else None
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created_time = page.get("createdAt")
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resolved_space_id = space_id or page.get("spaceId")
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text = ""
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if load_content:
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body = page.get("body", {})
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storage = body.get("storage", {}) if isinstance(body, dict) else {}
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text = storage.get("value", "") if isinstance(storage, dict) else ""
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return Document(
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text=text,
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doc_id=str(page_id),
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extra_info={
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"file_name": title,
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"mime_type": "text/html",
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"size": len(text) if text else None,
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"created_time": created_time,
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"modified_time": modified_time,
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"source": "confluence",
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"is_folder": False,
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"page_id": str(page_id),
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"space_id": resolved_space_id,
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"cloud_id": self.cloud_id,
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},
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)
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def _download_page(self, page_id: str, local_dir: str) -> bool:
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try:
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response = requests.get(
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f"{self.base_url}/pages/{page_id}",
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headers=self._headers(),
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params={"body-format": "storage"},
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timeout=30,
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)
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response.raise_for_status()
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page = response.json()
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title = page.get("title", page_id)
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safe_name = "".join(c if c.isalnum() or c in " -_" else "_" for c in title)
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body = page.get("body", {}).get("storage", {}).get("value", "")
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file_path = os.path.join(local_dir, f"{safe_name}.html")
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with open(file_path, "w", encoding="utf-8") as f:
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f.write(body)
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return True
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except Exception as e:
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logger.error("Error downloading page %s: %s", page_id, e)
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return False
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def _download_page_attachments(self, page_id: str, local_dir: str) -> int:
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downloaded = 0
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try:
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cursor = None
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while True:
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params: Dict[str, Any] = {"limit": 100}
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if cursor:
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params["cursor"] = cursor
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response = requests.get(
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f"{self.base_url}/pages/{page_id}/attachments",
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headers=self._headers(),
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params=params,
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timeout=30,
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)
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response.raise_for_status()
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data = response.json()
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for att in data.get("results", []):
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media_type = att.get("mediaType", "")
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if media_type not in SUPPORTED_ATTACHMENT_TYPES:
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continue
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download_link = att.get("_links", {}).get("download")
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if not download_link:
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continue
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raw_name = att.get("title", att.get("id", "attachment"))
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file_name = "".join(
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c if c.isalnum() or c in " -_." else "_"
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for c in os.path.basename(raw_name)
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) or "attachment"
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file_path = os.path.join(local_dir, file_name)
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url = f"{self.download_base}{download_link}"
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file_resp = requests.get(
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url, headers=self._headers(), timeout=60, stream=True
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)
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file_resp.raise_for_status()
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with open(file_path, "wb") as f:
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for chunk in file_resp.iter_content(chunk_size=8192):
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f.write(chunk)
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downloaded += 1
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next_link = data.get("_links", {}).get("next")
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cursor = self._extract_cursor(next_link)
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if not cursor:
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break
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except Exception as e:
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logger.error("Error downloading attachments for page %s: %s", page_id, e)
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return downloaded
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def _download_space(self, space_id: str, local_dir: str) -> int:
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downloaded = 0
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cursor = None
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while True:
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params: Dict[str, Any] = {"limit": 250}
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if cursor:
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params["cursor"] = cursor
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try:
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response = requests.get(
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f"{self.base_url}/spaces/{space_id}/pages",
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headers=self._headers(),
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params=params,
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timeout=30,
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)
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response.raise_for_status()
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data = response.json()
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except Exception as e:
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logger.error("Error listing pages in space %s: %s", space_id, e)
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break
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for page in data.get("results", []):
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page_id = page.get("id")
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if self._download_page(str(page_id), local_dir):
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downloaded += 1
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downloaded += self._download_page_attachments(str(page_id), local_dir)
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next_link = data.get("_links", {}).get("next")
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cursor = self._extract_cursor(next_link)
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if not cursor:
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break
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return downloaded
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@staticmethod
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def _extract_cursor(next_link: Optional[str]) -> Optional[str]:
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if not next_link:
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return None
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from urllib.parse import parse_qs, urlparse
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parsed = urlparse(next_link)
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cursors = parse_qs(parsed.query).get("cursor")
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return cursors[0] if cursors else None
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