Files
DocsGPT/docsgpt/parser/connectors/confluence/loader.py
T
arc53-machine 3511004f50 Connections own their credentials
Migration 0038 moves every stored secret (OAuth tokens, MCP OAuth
tokens and client registrations, API keys) into the connection's
encrypted envelope, links API-key tools to one connection per distinct
credential, allows several accounts per provider, and adds
credential_mode to sources and tools. OAuth MCP tools keep resolving
each member's own token, as they did before.

docsgpt.connectors.service is now the only reader of OAuth tokens:
get_valid_token_info refreshes under a row lock and persists rotated
refresh tokens, and a revoked grant flags the connection, pauses its
sources and notifies the owner. Loaders build from a connection
(BaseConnectorLoader.from_connection), so scheduled sync covers Drive,
SharePoint and Confluence sources with no browser. S3 and Reddit keys
stay on the connection instead of in remote_data.

New endpoints: POST /api/connections, /setup, /reconnect,
/picker-token, /claim, DELETE /api/connections/<id>, per-action
permissions and MCP refresh-tools. Upload, file listing, sync and
validate-session take a connection_id; session tokens keep working for
this release. The tool executor reads credentials from the resolved
connection (owner or member mode) and pauses on a Connect card when a
connection needs signing in. docsgpt connectors reencrypt rewrites
stored credentials after a key rotation.
2026-09-28 17:03:09 +01:00

400 lines
14 KiB
Python

import functools
import logging
import os
from typing import Any, Dict, List, Optional
import requests
from docsgpt.parser.connectors.base import BaseConnectorLoader
from docsgpt.parser.connectors.confluence.auth import ConfluenceAuth
from docsgpt.parser.schema.base import Document
logger = logging.getLogger(__name__)
API_V2 = "https://api.atlassian.com/ex/confluence/{cloud_id}/wiki/api/v2"
DOWNLOAD_BASE = "https://api.atlassian.com/ex/confluence/{cloud_id}/wiki"
SUPPORTED_ATTACHMENT_TYPES = {
"application/pdf": ".pdf",
"application/vnd.openxmlformats-officedocument.wordprocessingml.document": ".docx",
"application/vnd.openxmlformats-officedocument.presentationml.presentation": ".pptx",
"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet": ".xlsx",
"application/msword": ".doc",
"application/vnd.ms-powerpoint": ".ppt",
"application/vnd.ms-excel": ".xls",
"text/plain": ".txt",
"text/csv": ".csv",
"text/html": ".html",
"text/markdown": ".md",
"application/json": ".json",
"application/epub+zip": ".epub",
"image/jpeg": ".jpg",
"image/png": ".png",
}
def _retry_on_auth_failure(func):
@functools.wraps(func)
def wrapper(self, *args, **kwargs):
try:
return func(self, *args, **kwargs)
except requests.exceptions.HTTPError as e:
if e.response is not None and e.response.status_code in (401, 403):
logger.info(
"Auth failure in %s, refreshing token and retrying", func.__name__
)
try:
new_token_info = self._refresh_rejected_token(self.access_token)
self.access_token = new_token_info["access_token"]
except Exception as refresh_err:
raise ValueError(
f"Authentication failed and could not be refreshed: {refresh_err}"
) from e
return func(self, *args, **kwargs)
raise
return wrapper
class ConfluenceLoader(BaseConnectorLoader):
def __init__(self, session_token: Optional[str] = None, *, connection_id: Optional[str] = None):
self.auth = ConfluenceAuth()
self.session_token = session_token
_, token_info = self._load_token_info(session_token, connection_id)
missing = [f for f in ("access_token", "cloud_id") if not token_info.get(f)]
if missing:
raise ValueError(f"Missing required token fields: {missing}")
self.access_token = token_info["access_token"]
self.cloud_id = token_info["cloud_id"]
self.base_url = API_V2.format(cloud_id=self.cloud_id)
self.download_base = DOWNLOAD_BASE.format(cloud_id=self.cloud_id)
self.next_page_token = None
def _headers(self) -> Dict[str, str]:
return {
"Authorization": f"Bearer {self.access_token}",
"Accept": "application/json",
}
@_retry_on_auth_failure
def load_data(self, inputs: Dict[str, Any]) -> List[Document]:
folder_id = inputs.get("folder_id")
file_ids = inputs.get("file_ids", [])
limit = inputs.get("limit", 100)
list_only = inputs.get("list_only", False)
page_token = inputs.get("page_token")
search_query = inputs.get("search_query")
self.next_page_token = None
if file_ids:
return self._load_pages_by_ids(file_ids, list_only, search_query)
if folder_id:
return self._list_pages_in_space(
folder_id, limit, list_only, page_token, search_query
)
return self._list_spaces(limit, page_token, search_query)
@_retry_on_auth_failure
def download_to_directory(self, local_dir: str, source_config: dict = None) -> dict:
config = source_config or getattr(self, "config", {})
file_ids = config.get("file_ids", [])
folder_ids = config.get("folder_ids", [])
files_downloaded = 0
os.makedirs(local_dir, exist_ok=True)
if isinstance(file_ids, str):
file_ids = [file_ids]
if isinstance(folder_ids, str):
folder_ids = [folder_ids]
for page_id in file_ids:
if self._download_page(page_id, local_dir):
files_downloaded += 1
files_downloaded += self._download_page_attachments(page_id, local_dir)
for space_id in folder_ids:
files_downloaded += self._download_space(space_id, local_dir)
return {
"files_downloaded": files_downloaded,
"directory_path": local_dir,
"empty_result": files_downloaded == 0,
"source_type": "confluence",
"config_used": config,
}
def _list_spaces(
self, limit: int, cursor: Optional[str], search_query: Optional[str]
) -> List[Document]:
documents: List[Document] = []
params: Dict[str, Any] = {"limit": min(limit, 250)}
if cursor:
params["cursor"] = cursor
response = requests.get(
f"{self.base_url}/spaces",
headers=self._headers(),
params=params,
timeout=30,
)
response.raise_for_status()
data = response.json()
for space in data.get("results", []):
name = space.get("name", "")
if search_query and search_query.lower() not in name.lower():
continue
documents.append(
Document(
text="",
doc_id=space["id"],
extra_info={
"file_name": name,
"mime_type": "folder",
"size": None,
"created_time": space.get("createdAt"),
"modified_time": None,
"source": "confluence",
"is_folder": True,
"space_key": space.get("key"),
},
)
)
next_link = data.get("_links", {}).get("next")
self.next_page_token = self._extract_cursor(next_link)
return documents
def _list_pages_in_space(
self,
space_id: str,
limit: int,
list_only: bool,
cursor: Optional[str],
search_query: Optional[str],
) -> List[Document]:
documents: List[Document] = []
params: Dict[str, Any] = {"limit": min(limit, 250)}
if cursor:
params["cursor"] = cursor
response = requests.get(
f"{self.base_url}/spaces/{space_id}/pages",
headers=self._headers(),
params=params,
timeout=30,
)
response.raise_for_status()
data = response.json()
for page in data.get("results", []):
title = page.get("title", "")
if search_query and search_query.lower() not in title.lower():
continue
doc = self._page_to_document(
page, load_content=not list_only, space_id=space_id
)
if doc:
documents.append(doc)
next_link = data.get("_links", {}).get("next")
self.next_page_token = self._extract_cursor(next_link)
return documents
def _load_pages_by_ids(
self, page_ids: List[str], list_only: bool, search_query: Optional[str]
) -> List[Document]:
documents: List[Document] = []
for page_id in page_ids:
try:
params: Dict[str, str] = {}
if not list_only:
params["body-format"] = "storage"
response = requests.get(
f"{self.base_url}/pages/{page_id}",
headers=self._headers(),
params=params,
timeout=30,
)
response.raise_for_status()
page = response.json()
title = page.get("title", "")
if search_query and search_query.lower() not in title.lower():
continue
doc = self._page_to_document(page, load_content=not list_only)
if doc:
documents.append(doc)
except Exception as e:
logger.error("Error loading page %s: %s", page_id, e)
return documents
def _page_to_document(
self,
page: Dict[str, Any],
load_content: bool = False,
space_id: Optional[str] = None,
) -> Optional[Document]:
page_id = page.get("id")
title = page.get("title", "Unknown")
version = page.get("version", {})
modified_time = version.get("createdAt") if isinstance(version, dict) else None
created_time = page.get("createdAt")
resolved_space_id = space_id or page.get("spaceId")
text = ""
if load_content:
body = page.get("body", {})
storage = body.get("storage", {}) if isinstance(body, dict) else {}
text = storage.get("value", "") if isinstance(storage, dict) else ""
return Document(
text=text,
doc_id=str(page_id),
extra_info={
"file_name": title,
"mime_type": "text/html",
"size": len(text) if text else None,
"created_time": created_time,
"modified_time": modified_time,
"source": "confluence",
"is_folder": False,
"page_id": str(page_id),
"space_id": resolved_space_id,
"cloud_id": self.cloud_id,
},
)
def _download_page(self, page_id: str, local_dir: str) -> bool:
try:
response = requests.get(
f"{self.base_url}/pages/{page_id}",
headers=self._headers(),
params={"body-format": "storage"},
timeout=30,
)
response.raise_for_status()
page = response.json()
title = page.get("title", page_id)
safe_name = "".join(c if c.isalnum() or c in " -_" else "_" for c in title)
body = page.get("body", {}).get("storage", {}).get("value", "")
file_path = os.path.join(local_dir, f"{safe_name}.html")
with open(file_path, "w", encoding="utf-8") as f:
f.write(body)
return True
except Exception as e:
logger.error("Error downloading page %s: %s", page_id, e)
return False
def _download_page_attachments(self, page_id: str, local_dir: str) -> int:
downloaded = 0
try:
cursor = None
while True:
params: Dict[str, Any] = {"limit": 100}
if cursor:
params["cursor"] = cursor
response = requests.get(
f"{self.base_url}/pages/{page_id}/attachments",
headers=self._headers(),
params=params,
timeout=30,
)
response.raise_for_status()
data = response.json()
for att in data.get("results", []):
media_type = att.get("mediaType", "")
if media_type not in SUPPORTED_ATTACHMENT_TYPES:
continue
download_link = att.get("_links", {}).get("download")
if not download_link:
continue
raw_name = att.get("title", att.get("id", "attachment"))
file_name = "".join(
c if c.isalnum() or c in " -_." else "_"
for c in os.path.basename(raw_name)
) or "attachment"
file_path = os.path.join(local_dir, file_name)
url = f"{self.download_base}{download_link}"
file_resp = requests.get(
url, headers=self._headers(), timeout=60, stream=True
)
file_resp.raise_for_status()
with open(file_path, "wb") as f:
for chunk in file_resp.iter_content(chunk_size=8192):
f.write(chunk)
downloaded += 1
next_link = data.get("_links", {}).get("next")
cursor = self._extract_cursor(next_link)
if not cursor:
break
except Exception as e:
logger.error("Error downloading attachments for page %s: %s", page_id, e)
return downloaded
def _download_space(self, space_id: str, local_dir: str) -> int:
downloaded = 0
cursor = None
while True:
params: Dict[str, Any] = {"limit": 250}
if cursor:
params["cursor"] = cursor
try:
response = requests.get(
f"{self.base_url}/spaces/{space_id}/pages",
headers=self._headers(),
params=params,
timeout=30,
)
response.raise_for_status()
data = response.json()
except Exception as e:
logger.error("Error listing pages in space %s: %s", space_id, e)
break
for page in data.get("results", []):
page_id = page.get("id")
if self._download_page(str(page_id), local_dir):
downloaded += 1
downloaded += self._download_page_attachments(str(page_id), local_dir)
next_link = data.get("_links", {}).get("next")
cursor = self._extract_cursor(next_link)
if not cursor:
break
return downloaded
@staticmethod
def _extract_cursor(next_link: Optional[str]) -> Optional[str]:
if not next_link:
return None
from urllib.parse import parse_qs, urlparse
parsed = urlparse(next_link)
cursors = parse_qs(parsed.query).get("cursor")
return cursors[0] if cursors else None