Files
deer-flow/backend/app/channels/dingtalk.py
T
DanielWalnut aa015462a7 feat(im): Add user-owned IM channel connections (#3487)
* Add user-owned IM channel connections

* Fix dev startup and channel connect popup

* Use async channel connect flow

* Harden dev service daemon startup

* Support local IM channel connections

* Align IM connections with local channels

* Fix safe user id digest algorithm

* Address Copilot IM channel feedback

* Address IM channel review comments

* Support all integrated IM channel connections

* Format additional channel connection tests

* Keep unavailable channel connect buttons clickable

* Fix IM channel provider icons

* Add runtime setup for enabled IM channels

* Guard global shortcut key handling

* Keep configured IM channels editable

* Avoid password autofill for channel secrets

* Make channel threads visible to connection owners

* Persist IM runtime config locally

* Allow disconnecting runtime IM channels

* Route no-auth channel sessions to local user

* Use default user for auth-disabled local mode

* Show IM channel source on threads

* Prefill IM channel runtime config

* Reflect IM channel runtime health

* Ignore Feishu message read events

* Ignore Feishu non-content message events

* Let setup wizard enable IM channels

* Fix frontend formatting after merge

* Stabilize backend tests without local config

* Isolate channel runtime config tests

* Address channel connection review comments

* Use sha256 user buckets with legacy migration

* Ensure runtime IM channels are ready after restart

* Persist disconnected IM channel state

* Address channel connection review comments

* Address channel connection review findings

Frontend connect flow:
- Open the runtime-config dialog only when a provider still needs
  credentials; configured providers go straight to the connect flow, so
  the binding-code/deep-link path is reachable from the UI again.
- After saving credentials, continue into the connect flow when a user
  binding is still required (multi-user mode) instead of stopping at a
  "Connected" toast.
- Extract shared provider-state helpers to core/channels/provider-state
  and add unit + e2e coverage for the direct-connect and
  configure-then-connect paths.

Provider status semantics:
- Report connection_status from the user's newest connection row;
  with no binding it is not_connected, except in auth-disabled local
  mode where a configured running channel is effectively connected.

Concurrency and event-loop correctness:
- Offload ChannelRuntimeConfigStore construction and writes, channel
  service construction, and Slack connection replies to threads; add a
  tests/blocking_io/ anchor for the runtime-config handlers.
- Consume binding codes with a conditional UPDATE so a code can only be
  used once under concurrent workers; retry upsert_connection as an
  update when a concurrent insert wins the unique constraint.
- Serialize ensure_channel_ready per channel so concurrent provider
  polls cannot double-start a channel worker.

Config and migration hardening:
- Stop mutating the get_app_config()-cached Telegram provider config;
  the runtime store now owns the UI-entered bot username.
- Register channel_connections in STARTUP_ONLY_FIELDS with the
  standardized startup-only Field description.
- Match the legacy unsafe-id bucket by recomputing its exact SHA-1 name
  so another user's same-prefix bucket can never be migrated.
- Remove the unused Telegram process_webhook_update path and document
  src/core/channels in the frontend docs.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* Address PR review comments on authz scoping and channel runtime

Security (review feedback from ShenAC-SAC):
- Scope internal-token callers to the connection owner carried in
  X-DeerFlow-Owner-User-Id instead of bypassing owner checks outright,
  in both require_permission(owner_check=True) and the stateless run
  endpoints. Internal callers keep access to their own and
  shared/legacy threads, and may claim a default-owned channel thread
  for its real owner, but a leaked internal token no longer grants
  cross-user thread access.
- Require admin privileges for POST/DELETE /api/channels/{provider}/
  runtime-config: runtime credentials and channel workers are
  instance-wide shared state (same model as the MCP config API).
  Read-only provider listing stays available to all users.

Performance (review feedback from willem-bd):
- Skip the redundant thread channel-metadata PATCH after the first
  successful backfill per thread.
- Reuse the per-connection Slack WebClient until its token changes
  instead of constructing one per outbound message.
- Reconcile channel readiness for all providers concurrently in
  GET /api/channels/providers.

Also resolve the code-quality unused-import flag in the blocking-io
anchor by pre-importing the channel service via importlib.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* Fix prettier formatting in provider-state test

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* Reconcile UI runtime channel config with config reload on restart

Main now reloads a channel's config.yaml entry on restart_channel()
(#3514, issue #3497). Adapt the user-owned connection flow to coexist:

- configure_channel() restarts with reload_config=False — the caller
  just supplied the authoritative config (browser-entered credentials
  that are never written to config.yaml), so a file reload must not
  clobber it with the stale on-disk entry.
- _load_channel_config() re-applies the UI runtime-store overlay used
  at startup, so an operator-triggered restart keeps browser-entered
  credentials for channels without a config.yaml entry and does not
  resurrect a channel disconnected from the UI.
- Offload the reload's disk IO (config.yaml + runtime store) with
  asyncio.to_thread, matching the blocking-IO policy on this branch.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-06-12 15:24:58 +08:00

843 lines
34 KiB
Python

"""DingTalk channel implementation."""
from __future__ import annotations
import asyncio
import json
import logging
import re
import threading
import time
from pathlib import Path
from typing import Any
import httpx
from app.channels.base import Channel
from app.channels.commands import extract_connect_code, is_known_channel_command
from app.channels.connection_identity import attach_connection_identity
from app.channels.message_bus import InboundMessage, InboundMessageType, MessageBus, OutboundMessage, ResolvedAttachment
logger = logging.getLogger(__name__)
DINGTALK_API_BASE = "https://api.dingtalk.com"
_TOKEN_REFRESH_MARGIN_SECONDS = 300
_CONVERSATION_TYPE_P2P = "1"
_CONVERSATION_TYPE_GROUP = "2"
_MAX_UPLOAD_SIZE_BYTES = 20 * 1024 * 1024
def _normalize_conversation_type(raw: Any) -> str:
"""Normalize ``conversationType`` to ``"1"`` (P2P) or ``"2"`` (group).
Stream payloads may send int or string values.
"""
if raw is None:
return _CONVERSATION_TYPE_P2P
s = str(raw).strip()
if s == _CONVERSATION_TYPE_GROUP:
return _CONVERSATION_TYPE_GROUP
return _CONVERSATION_TYPE_P2P
def _normalize_allowed_users(allowed_users: Any) -> set[str]:
if allowed_users is None:
return set()
if isinstance(allowed_users, str):
values = [allowed_users]
elif isinstance(allowed_users, (list, tuple, set)):
values = allowed_users
else:
logger.warning(
"DingTalk allowed_users should be a list of user IDs; treating %s as one string value",
type(allowed_users).__name__,
)
values = [allowed_users]
return {str(uid) for uid in values if str(uid)}
def _is_dingtalk_command(text: str) -> bool:
return is_known_channel_command(text)
def _extract_text_from_rich_text(rich_text_list: list) -> str:
parts: list[str] = []
for item in rich_text_list:
if isinstance(item, dict) and "text" in item:
parts.append(item["text"])
return " ".join(parts)
_FENCED_CODE_BLOCK_RE = re.compile(r"```(\w*)\n(.*?)```", re.DOTALL)
_INLINE_CODE_RE = re.compile(r"`([^`\n]+)`")
_HORIZONTAL_RULE_RE = re.compile(r"^-{3,}$", re.MULTILINE)
_TABLE_SEPARATOR_RE = re.compile(r"^\|[-:| ]+\|$", re.MULTILINE)
def _convert_markdown_table(text: str) -> str:
# DingTalk sampleMarkdown does not render pipe-delimited tables.
lines = text.split("\n")
result: list[str] = []
i = 0
while i < len(lines):
line = lines[i]
# Detect table: header row followed by separator row
if i + 1 < len(lines) and line.strip().startswith("|") and _TABLE_SEPARATOR_RE.match(lines[i + 1].strip()):
headers = [h.strip() for h in line.strip().strip("|").split("|")]
i += 2 # skip header + separator
while i < len(lines) and lines[i].strip().startswith("|"):
cells = [c.strip() for c in lines[i].strip().strip("|").split("|")]
for h, c in zip(headers, cells):
result.append(f"> **{h}**: {c}")
result.append("")
i += 1
else:
result.append(line)
i += 1
return "\n".join(result)
def _adapt_markdown_for_dingtalk(text: str) -> str:
"""Adapt markdown for DingTalk's limited sampleMarkdown renderer."""
def _code_block_to_quote(match: re.Match) -> str:
lang = match.group(1)
code = match.group(2).rstrip("\n")
prefix = f"> **{lang}**\n" if lang else ""
quoted_lines = "\n".join(f"> {line}" for line in code.split("\n"))
return f"{prefix}{quoted_lines}\n"
text = _FENCED_CODE_BLOCK_RE.sub(_code_block_to_quote, text)
text = _INLINE_CODE_RE.sub(r"**\1**", text)
text = _convert_markdown_table(text)
text = _HORIZONTAL_RULE_RE.sub("───────────", text)
return text
class DingTalkChannel(Channel):
"""DingTalk IM channel using Stream Push (WebSocket, no public IP needed)."""
def __init__(self, bus: MessageBus, config: dict[str, Any]) -> None:
super().__init__(name="dingtalk", bus=bus, config=config)
self._thread: threading.Thread | None = None
self._main_loop: asyncio.AbstractEventLoop | None = None
self._client_id: str = ""
self._client_secret: str = ""
self._allowed_users: set[str] = _normalize_allowed_users(config.get("allowed_users"))
self._cached_token: str = ""
self._token_expires_at: float = 0.0
self._token_lock = asyncio.Lock()
self._card_template_id: str = config.get("card_template_id", "")
self._card_track_ids: dict[str, str] = {}
self._dingtalk_client: Any = None
self._stream_client: Any = None
self._incoming_messages: dict[str, Any] = {}
self._incoming_messages_lock = threading.Lock()
self._card_repliers: dict[str, Any] = {}
self._connection_repo = config.get("connection_repo")
@property
def supports_streaming(self) -> bool:
return bool(self._card_template_id)
async def start(self) -> None:
if self._running:
return
try:
import dingtalk_stream # noqa: F401
except ImportError:
logger.error("dingtalk-stream is not installed. Install it with: uv add dingtalk-stream")
return
client_id = self.config.get("client_id", "")
client_secret = self.config.get("client_secret", "")
if not client_id or not client_secret:
logger.error("DingTalk channel requires client_id and client_secret")
return
self._client_id = client_id
self._client_secret = client_secret
self._main_loop = asyncio.get_running_loop()
if self._card_template_id:
logger.info("[DingTalk] AI Card mode enabled (template=%s)", self._card_template_id)
self._running = True
self.bus.subscribe_outbound(self._on_outbound)
self._thread = threading.Thread(
target=self._run_stream,
args=(client_id, client_secret),
daemon=True,
)
self._thread.start()
logger.info("DingTalk channel started")
async def stop(self) -> None:
self._running = False
self.bus.unsubscribe_outbound(self._on_outbound)
stream_client = self._stream_client
if stream_client is not None:
try:
if hasattr(stream_client, "disconnect"):
stream_client.disconnect()
except Exception:
logger.debug("[DingTalk] error disconnecting stream client", exc_info=True)
self._dingtalk_client = None
self._stream_client = None
with self._incoming_messages_lock:
self._incoming_messages.clear()
self._card_repliers.clear()
self._card_track_ids.clear()
if self._thread:
self._thread.join(timeout=5)
self._thread = None
logger.info("DingTalk channel stopped")
def _resolve_routing(self, msg: OutboundMessage) -> tuple[str, str, str]:
"""Return (conversation_type, sender_staff_id, conversation_id).
Uses msg.chat_id as the primary routing key; metadata as fallback.
"""
conversation_type = _normalize_conversation_type(msg.metadata.get("conversation_type"))
sender_staff_id = msg.metadata.get("sender_staff_id", "")
conversation_id = msg.metadata.get("conversation_id", "")
if conversation_type == _CONVERSATION_TYPE_GROUP:
conversation_id = msg.chat_id or conversation_id
else:
sender_staff_id = msg.chat_id or sender_staff_id
return conversation_type, sender_staff_id, conversation_id
async def send(self, msg: OutboundMessage, *, _max_retries: int = 3) -> None:
conversation_type, sender_staff_id, conversation_id = self._resolve_routing(msg)
robot_code = self._client_id
# Card mode: stream update to existing AI card
source_key = self._make_card_source_key_from_outbound(msg)
out_track_id = self._card_track_ids.get(source_key)
# ``card_template_id`` enables ``runs.stream`` (non-final + final outbounds).
# If card creation failed, skip non-final chunks to avoid duplicate messages.
if self._card_template_id and not out_track_id and not msg.is_final:
return
if out_track_id:
try:
await self._stream_update_card(
out_track_id,
msg.text,
is_finalize=msg.is_final,
)
except Exception:
logger.warning("[DingTalk] card stream failed, falling back to sampleMarkdown")
if msg.is_final:
self._card_track_ids.pop(source_key, None)
self._card_repliers.pop(out_track_id, None)
await self._send_markdown_fallback(robot_code, conversation_type, sender_staff_id, conversation_id, msg.text)
return
if msg.is_final:
self._card_track_ids.pop(source_key, None)
self._card_repliers.pop(out_track_id, None)
return
# Non-card mode: send sampleMarkdown with retry
last_exc: Exception | None = None
for attempt in range(_max_retries):
try:
if conversation_type == _CONVERSATION_TYPE_GROUP:
await self._send_group_message(robot_code, conversation_id, msg.text, at_user_ids=[sender_staff_id] if sender_staff_id else None)
else:
await self._send_p2p_message(robot_code, sender_staff_id, msg.text)
return
except Exception as exc:
last_exc = exc
if attempt < _max_retries - 1:
delay = 2**attempt
logger.warning(
"[DingTalk] send failed (attempt %d/%d), retrying in %ds: %s",
attempt + 1,
_max_retries,
delay,
exc,
)
await asyncio.sleep(delay)
logger.error("[DingTalk] send failed after %d attempts: %s", _max_retries, last_exc)
if last_exc is None:
raise RuntimeError("DingTalk send failed without an exception from any attempt")
raise last_exc
async def _send_markdown_fallback(
self,
robot_code: str,
conversation_type: str,
sender_staff_id: str,
conversation_id: str,
text: str,
) -> None:
try:
if conversation_type == _CONVERSATION_TYPE_GROUP:
await self._send_group_message(robot_code, conversation_id, text)
else:
await self._send_p2p_message(robot_code, sender_staff_id, text)
except Exception:
logger.exception("[DingTalk] markdown fallback also failed")
raise
async def send_file(self, msg: OutboundMessage, attachment: ResolvedAttachment) -> bool:
if attachment.size > _MAX_UPLOAD_SIZE_BYTES:
logger.warning("[DingTalk] file too large (%d bytes), skipping: %s", attachment.size, attachment.filename)
return False
conversation_type, sender_staff_id, conversation_id = self._resolve_routing(msg)
robot_code = self._client_id
try:
media_id = await self._upload_media(attachment.actual_path, "image" if attachment.is_image else "file")
if not media_id:
return False
if attachment.is_image:
msg_key = "sampleImageMsg"
msg_param = json.dumps({"photoURL": media_id})
else:
msg_key = "sampleFile"
msg_param = json.dumps(
{
"fileUrl": media_id,
"fileName": attachment.filename,
"fileSize": str(attachment.size),
}
)
token = await self._get_access_token()
async with httpx.AsyncClient(timeout=httpx.Timeout(30.0)) as client:
if conversation_type == _CONVERSATION_TYPE_GROUP:
response = await client.post(
f"{DINGTALK_API_BASE}/v1.0/robot/groupMessages/send",
headers=self._api_headers(token),
json={
"msgKey": msg_key,
"msgParam": msg_param,
"robotCode": robot_code,
"openConversationId": conversation_id,
},
)
else:
response = await client.post(
f"{DINGTALK_API_BASE}/v1.0/robot/oToMessages/batchSend",
headers=self._api_headers(token),
json={
"msgKey": msg_key,
"msgParam": msg_param,
"robotCode": robot_code,
"userIds": [sender_staff_id],
},
)
response.raise_for_status()
logger.info("[DingTalk] file sent: %s", attachment.filename)
return True
except (httpx.HTTPError, OSError, ValueError, TypeError, AttributeError):
logger.exception("[DingTalk] failed to send file: %s", attachment.filename)
return False
# -- stream client (runs in dedicated thread) --------------------------
def _run_stream(self, client_id: str, client_secret: str) -> None:
try:
import dingtalk_stream
credential = dingtalk_stream.Credential(client_id, client_secret)
client = dingtalk_stream.DingTalkStreamClient(credential)
self._stream_client = client
client.register_callback_handler(
dingtalk_stream.chatbot.ChatbotMessage.TOPIC,
_DingTalkMessageHandler(self),
)
client.start_forever()
except Exception:
if self._running:
logger.exception("DingTalk Stream Push error")
finally:
self._stream_client = None
def _on_chatbot_message(self, message: Any) -> None:
if not self._running:
return
try:
sender_staff_id = message.sender_staff_id or ""
conversation_type = _normalize_conversation_type(message.conversation_type)
conversation_id = message.conversation_id or ""
msg_id = message.message_id or ""
sender_nick = message.sender_nick or ""
if self._allowed_users and sender_staff_id not in self._allowed_users:
logger.debug("[DingTalk] ignoring message from non-allowed user: %s", sender_staff_id)
return
text = self._extract_text(message)
if not text:
logger.info("[DingTalk] empty text, ignoring message")
return
logger.info(
"[DingTalk] parsed message: conv_type=%s, msg_id=%s, sender=%s(%s), text=%r",
conversation_type,
msg_id,
sender_staff_id,
sender_nick,
text[:100],
)
connect_code = extract_connect_code(text)
if connect_code and self._connection_repo is not None:
if self._main_loop and self._main_loop.is_running():
fut = asyncio.run_coroutine_threadsafe(
self._bind_connection_from_connect_code(
conversation_type=conversation_type,
sender_staff_id=sender_staff_id,
sender_nick=sender_nick,
conversation_id=conversation_id,
code=connect_code,
),
self._main_loop,
)
fut.add_done_callback(lambda f, mid=msg_id: self._log_future_error(f, "bind_connection", mid))
else:
logger.warning("[DingTalk] main loop not running, cannot bind channel connection")
return
if _is_dingtalk_command(text):
msg_type = InboundMessageType.COMMAND
else:
msg_type = InboundMessageType.CHAT
# P2P: topic_id=None (single thread per user, like Telegram private chat)
# Group: topic_id=msg_id (each new message starts a new topic, like Feishu)
topic_id: str | None = msg_id if conversation_type == _CONVERSATION_TYPE_GROUP else None
# chat_id uses conversation_id for groups, sender_staff_id for P2P
chat_id = conversation_id if conversation_type == _CONVERSATION_TYPE_GROUP else sender_staff_id
inbound = self._make_inbound(
chat_id=chat_id,
user_id=sender_staff_id,
text=text,
msg_type=msg_type,
thread_ts=msg_id,
metadata={
"conversation_type": conversation_type,
"conversation_id": conversation_id,
"sender_staff_id": sender_staff_id,
"sender_nick": sender_nick,
"message_id": msg_id,
},
)
inbound.topic_id = topic_id
if self._card_template_id:
source_key = self._make_card_source_key(inbound)
with self._incoming_messages_lock:
self._incoming_messages[source_key] = message
if self._main_loop and self._main_loop.is_running():
logger.info("[DingTalk] publishing inbound message to bus (type=%s, msg_id=%s)", msg_type.value, msg_id)
fut = asyncio.run_coroutine_threadsafe(
self._prepare_inbound(chat_id, inbound),
self._main_loop,
)
fut.add_done_callback(lambda f, mid=msg_id: self._log_future_error(f, "prepare_inbound", mid))
else:
logger.warning("[DingTalk] main loop not running, cannot publish inbound message")
except Exception:
logger.exception("[DingTalk] error processing chatbot message")
@staticmethod
def _extract_text(message: Any) -> str:
msg_type = message.message_type
if msg_type == "text" and message.text:
return message.text.content.strip()
if msg_type == "richText" and message.rich_text_content:
return _extract_text_from_rich_text(message.rich_text_content.rich_text_list).strip()
return ""
async def _prepare_inbound(self, chat_id: str, inbound: InboundMessage) -> None:
inbound = await self._attach_connection_identity(inbound)
# Running reply must finish before publish_inbound so AI card tracks are
# registered before the manager emits streaming outbounds.
await self._send_running_reply(chat_id, inbound)
await self.bus.publish_inbound(inbound)
@staticmethod
def _connection_workspace_id(conversation_type: str, conversation_id: str) -> str | None:
if conversation_type == _CONVERSATION_TYPE_GROUP and conversation_id:
return conversation_id
return None
async def _attach_connection_identity(self, inbound: InboundMessage) -> InboundMessage:
conversation_type = str(inbound.metadata.get("conversation_type") or _CONVERSATION_TYPE_P2P)
conversation_id = str(inbound.metadata.get("conversation_id") or "")
return await attach_connection_identity(
inbound,
repo=self._connection_repo,
provider="dingtalk",
workspace_id=self._connection_workspace_id(conversation_type, conversation_id),
fallback_without_workspace=True,
)
async def _bind_connection_from_connect_code(
self,
*,
conversation_type: str,
sender_staff_id: str,
sender_nick: str,
conversation_id: str,
code: str,
) -> bool:
if self._connection_repo is None or not code:
return False
state = await self._connection_repo.consume_oauth_state(provider="dingtalk", state=code)
if state is None:
await self._send_connection_reply(
conversation_type,
sender_staff_id,
conversation_id,
"DingTalk connection code is invalid or expired.",
)
return True
if not sender_staff_id:
await self._send_connection_reply(
conversation_type,
sender_staff_id,
conversation_id,
"DingTalk connection could not be completed from this message.",
)
return True
await self._connection_repo.upsert_connection(
owner_user_id=state["owner_user_id"],
provider="dingtalk",
external_account_id=sender_staff_id,
external_account_name=sender_nick or None,
workspace_id=self._connection_workspace_id(conversation_type, conversation_id),
metadata={
"conversation_type": conversation_type,
"conversation_id": conversation_id,
},
status="connected",
)
await self._send_connection_reply(
conversation_type,
sender_staff_id,
conversation_id,
"DingTalk connected to DeerFlow.",
)
return True
async def _send_connection_reply(
self,
conversation_type: str,
sender_staff_id: str,
conversation_id: str,
text: str,
) -> None:
robot_code = self._client_id
if conversation_type == _CONVERSATION_TYPE_GROUP:
if conversation_id:
await self._send_text_message_to_group(robot_code, conversation_id, text)
return
if sender_staff_id:
await self._send_text_message_to_user(robot_code, sender_staff_id, text)
async def _send_running_reply(self, chat_id: str, inbound: InboundMessage) -> None:
conversation_type = inbound.metadata.get("conversation_type", _CONVERSATION_TYPE_P2P)
sender_staff_id = inbound.metadata.get("sender_staff_id", "")
conversation_id = inbound.metadata.get("conversation_id", "")
text = "\u23f3 Working on it..."
try:
if self._card_template_id:
source_key = self._make_card_source_key(inbound)
with self._incoming_messages_lock:
chatbot_message = self._incoming_messages.pop(source_key, None)
out_track_id = await self._create_and_deliver_card(
text,
chatbot_message=chatbot_message,
)
if out_track_id:
self._card_track_ids[source_key] = out_track_id
logger.info("[DingTalk] AI card running reply sent for chat=%s", chat_id)
return
robot_code = self._client_id
if conversation_type == _CONVERSATION_TYPE_GROUP:
await self._send_text_message_to_group(robot_code, conversation_id, text)
else:
await self._send_text_message_to_user(robot_code, sender_staff_id, text)
logger.info("[DingTalk] 'Working on it...' reply sent for chat=%s", chat_id)
except Exception:
logger.exception("[DingTalk] failed to send running reply for chat=%s", chat_id)
# -- DingTalk API helpers ----------------------------------------------
async def _get_access_token(self) -> str:
if self._cached_token and time.monotonic() < self._token_expires_at:
return self._cached_token
async with self._token_lock:
if self._cached_token and time.monotonic() < self._token_expires_at:
return self._cached_token
async with httpx.AsyncClient(timeout=httpx.Timeout(10.0)) as client:
response = await client.post(
f"{DINGTALK_API_BASE}/v1.0/oauth2/accessToken",
json={"appKey": self._client_id, "appSecret": self._client_secret}, # DingTalk API field names
)
response.raise_for_status()
data = response.json()
if not isinstance(data, dict):
raise ValueError(f"DingTalk access token response must be a JSON object, got {type(data).__name__}")
access_token = data.get("accessToken")
if not isinstance(access_token, str) or not access_token.strip():
raise ValueError("DingTalk access token response did not contain a usable accessToken")
raw_expires_in = data.get("expireIn", 7200)
try:
expires_in = int(raw_expires_in)
except (TypeError, ValueError):
logger.warning("[DingTalk] invalid expireIn value %r, using default 7200s", raw_expires_in)
expires_in = 7200
self._cached_token = access_token.strip()
self._token_expires_at = time.monotonic() + expires_in - _TOKEN_REFRESH_MARGIN_SECONDS
return self._cached_token
@staticmethod
def _api_headers(token: str) -> dict[str, str]:
return {
"x-acs-dingtalk-access-token": token,
"Content-Type": "application/json",
}
async def _send_text_message_to_user(self, robot_code: str, user_id: str, text: str) -> None:
token = await self._get_access_token()
async with httpx.AsyncClient(timeout=httpx.Timeout(30.0)) as client:
response = await client.post(
f"{DINGTALK_API_BASE}/v1.0/robot/oToMessages/batchSend",
headers=self._api_headers(token),
json={
"msgKey": "sampleText",
"msgParam": json.dumps({"content": text}),
"robotCode": robot_code,
"userIds": [user_id],
},
)
response.raise_for_status()
async def _send_text_message_to_group(self, robot_code: str, conversation_id: str, text: str) -> None:
token = await self._get_access_token()
async with httpx.AsyncClient(timeout=httpx.Timeout(30.0)) as client:
response = await client.post(
f"{DINGTALK_API_BASE}/v1.0/robot/groupMessages/send",
headers=self._api_headers(token),
json={
"msgKey": "sampleText",
"msgParam": json.dumps({"content": text}),
"robotCode": robot_code,
"openConversationId": conversation_id,
},
)
response.raise_for_status()
async def _send_p2p_message(self, robot_code: str, user_id: str, text: str) -> None:
text = _adapt_markdown_for_dingtalk(text)
token = await self._get_access_token()
async with httpx.AsyncClient(timeout=httpx.Timeout(30.0)) as client:
response = await client.post(
f"{DINGTALK_API_BASE}/v1.0/robot/oToMessages/batchSend",
headers=self._api_headers(token),
json={
"msgKey": "sampleMarkdown",
"msgParam": json.dumps({"title": "DeerFlow", "text": text}),
"robotCode": robot_code,
"userIds": [user_id],
},
)
response.raise_for_status()
data = response.json()
if data.get("processQueryKey"):
logger.info("[DingTalk] P2P message sent to user=%s", user_id)
else:
logger.warning("[DingTalk] P2P send response: %s", data)
async def _send_group_message(
self,
robot_code: str,
conversation_id: str,
text: str,
*,
at_user_ids: list[str] | None = None, # noqa: ARG002
) -> None:
# at_user_ids accepted for call-site compatibility but not passed to the API
# (sampleMarkdown does not support @mentions).
text = _adapt_markdown_for_dingtalk(text)
token = await self._get_access_token()
async with httpx.AsyncClient(timeout=httpx.Timeout(30.0)) as client:
response = await client.post(
f"{DINGTALK_API_BASE}/v1.0/robot/groupMessages/send",
headers=self._api_headers(token),
json={
"msgKey": "sampleMarkdown",
"msgParam": json.dumps({"title": "DeerFlow", "text": text}),
"robotCode": robot_code,
"openConversationId": conversation_id,
},
)
response.raise_for_status()
data = response.json()
if data.get("processQueryKey"):
logger.info("[DingTalk] group message sent to conversation=%s", conversation_id)
else:
logger.warning("[DingTalk] group send response: %s", data)
# -- AI Card streaming helpers -------------------------------------------
def _make_card_source_key(self, inbound: InboundMessage) -> str:
m = inbound.metadata
return f"{m.get('conversation_type', '')}:{m.get('sender_staff_id', '')}:{m.get('conversation_id', '')}:{m.get('message_id', '')}"
def _make_card_source_key_from_outbound(self, msg: OutboundMessage) -> str:
m = msg.metadata
correlation_id = m.get("message_id") or msg.thread_ts or ""
return f"{m.get('conversation_type', '')}:{m.get('sender_staff_id', '')}:{m.get('conversation_id', '')}:{correlation_id}"
async def _create_and_deliver_card(
self,
initial_text: str,
*,
chatbot_message: Any = None,
) -> str | None:
if self._dingtalk_client is None or chatbot_message is None:
logger.warning("[DingTalk] SDK client or chatbot_message unavailable, skipping AI card")
return None
try:
from dingtalk_stream.card_replier import AICardReplier
except ImportError:
logger.warning("[DingTalk] dingtalk-stream card_replier not available")
return None
try:
replier = AICardReplier(self._dingtalk_client, chatbot_message)
card_instance_id = await replier.async_create_and_deliver_card(
card_template_id=self._card_template_id,
card_data={"content": initial_text},
)
if not card_instance_id:
return None
self._card_repliers[card_instance_id] = replier
logger.info("[DingTalk] AI card created: outTrackId=%s", card_instance_id)
return card_instance_id
except Exception:
logger.exception("[DingTalk] failed to create AI card")
return None
async def _stream_update_card(
self,
out_track_id: str,
content: str,
*,
is_finalize: bool = False,
is_error: bool = False,
) -> None:
replier = self._card_repliers.get(out_track_id)
if not replier:
raise RuntimeError(f"No AICardReplier found for track ID {out_track_id}")
await replier.async_streaming(
card_instance_id=out_track_id,
content_key="content",
content_value=content,
append=False,
finished=is_finalize,
failed=is_error,
)
# -- media upload --------------------------------------------------------
async def _upload_media(self, file_path: str | Path, media_type: str) -> str | None:
try:
file_bytes = await asyncio.to_thread(Path(file_path).read_bytes)
token = await self._get_access_token()
async with httpx.AsyncClient(timeout=httpx.Timeout(60.0)) as client:
response = await client.post(
f"{DINGTALK_API_BASE}/v1.0/files/upload",
headers={"x-acs-dingtalk-access-token": token},
files={"file": ("upload", file_bytes)},
data={"type": media_type},
)
response.raise_for_status()
try:
payload = response.json()
except json.JSONDecodeError:
logger.exception("[DingTalk] failed to decode upload response JSON: %s", file_path)
return None
if not isinstance(payload, dict):
logger.warning("[DingTalk] unexpected upload response type %s for %s", type(payload).__name__, file_path)
return None
return payload.get("mediaId")
except (httpx.HTTPError, OSError):
logger.exception("[DingTalk] failed to upload media: %s", file_path)
return None
@staticmethod
def _log_future_error(fut: Any, name: str, msg_id: str) -> None:
try:
exc = fut.exception()
if exc:
logger.error("[DingTalk] %s failed for msg_id=%s: %s", name, msg_id, exc)
except (asyncio.CancelledError, asyncio.InvalidStateError):
pass
class _DingTalkMessageHandler:
"""Callback handler registered with dingtalk-stream."""
def __init__(self, channel: DingTalkChannel) -> None:
self._channel = channel
def pre_start(self) -> None:
if hasattr(self, "dingtalk_client") and self.dingtalk_client is not None:
self._channel._dingtalk_client = self.dingtalk_client
async def raw_process(self, callback_message: Any) -> Any:
import dingtalk_stream
from dingtalk_stream.frames import Headers
code, message = await self.process(callback_message)
ack_message = dingtalk_stream.AckMessage()
ack_message.code = code
ack_message.headers.message_id = callback_message.headers.message_id
ack_message.headers.content_type = Headers.CONTENT_TYPE_APPLICATION_JSON
ack_message.data = {"response": message}
return ack_message
async def process(self, callback: Any) -> tuple[int, str]:
import dingtalk_stream
incoming_message = dingtalk_stream.ChatbotMessage.from_dict(callback.data)
self._channel._on_chatbot_message(incoming_message)
return dingtalk_stream.AckMessage.STATUS_OK, "OK"