Files
LangBot/tests/unit_tests/platform/test_wecombot_media.py
T
DongXiaoming e934f08adf fix(wecombot): deliver sandbox outbox media through full pipeline chain (#2328)
* fix(wecombot): align media upload protocol

* fix(wecombot): deliver outbox media in reply and fix tool call recording

- Integrate _send_media into reply_message and reply_message_chunk so
  sandbox outbox images/voices/files are uploaded and sent instead of
  being silently dropped.
- Add missing import base64 that caused _send_media to fail with a
  NameError swallowed by its except clause.
- Change yiri2target to return component dicts (text/image/voice/file)
  so callers can distinguish text from media.
- Fix _get_message_for_tool_context using result.first()/row[0] which
  returned a raw string instead of the ORM object, causing
  "'str' object has no attribute 'pipeline_id'" in tool call recording.
  Use result.scalars().first() per SQLAlchemy 2.0 convention.

* fix(pipeline): collect outbox attachments on final chunk with empty content

When the last streaming chunk has is_final=True but empty content
(e.g. the LLM sends all text in earlier chunks), the 'if result.content'
branch is skipped entirely, so _append_outbound_attachments never runs
and sandbox outbox images are silently dropped.

Add an elif branch for _is_final_assistant_message that creates an
empty MessageChain and still collects outbox attachments, so images
are delivered even when the final chunk carries no text.

* fix(box): bypass stdout truncation when reading outbox via exec

_read_outbox_via_exec used execute_tool which returns _serialize_result
where stdout is truncated to output_limit_chars (4000). A 7KB JPEG
encodes to ~9400 base64 chars, so the JSON payload was truncated and
json.loads failed silently, returning an empty list.

Call client.execute directly to get the raw BoxExecutionResult with
untruncated stdout, so base64 file data is preserved.

* fix(tests): adapt box and wrapper tests for client.execute and strict is_final check

- wrapper.py: restrict outbox collection on empty-content chunks to
  actual MessageChunk instances with is_final=True, not generic Mock
  objects that happen to have role='assistant'
- test_box_service.py: update _read_outbox_via_exec tests to mock
  client.execute (returning BoxExecutionResult) instead of
  execute_tool, matching the implementation change

* chore(wecombot): remove temporary upload log

* test(box): preserve direct outbox read and cleanup coverage

---------

Co-authored-by: fdc310 <2213070223@qq.com>
Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>
2026-08-20 16:56:20 +08:00

128 lines
4.1 KiB
Python

import base64
import pytest
import langbot.pkg.core.app # noqa: F401
import langbot_plugin.api.entities.builtin.platform.message as platform_message
from langbot.libs.wecom_ai_bot_api.ws_client import _UPLOAD_CHUNK_SIZE, WecomBotWsClient
from langbot.pkg.platform.sources.wecombot import WecomBotAdapter, WecomBotMessageConverter
class Logger:
def __init__(self):
self.warnings = []
self.errors = []
async def warning(self, message):
self.warnings.append(message)
async def error(self, message):
self.errors.append(message)
async def info(self, message):
return None
class UploadClient(WecomBotWsClient):
def __init__(self):
super().__init__(bot_id='bot', secret='secret', logger=Logger())
self.frames = []
async def _send_reply(self, req_id: str, body: dict, cmd: str = 'aibot_respond_msg'):
self.frames.append((cmd, body))
if cmd == 'aibot_upload_media_init':
return {'errcode': 0, 'body': {'upload_id': 'upload-1'}}
if cmd == 'aibot_upload_media_finish':
return {'errcode': 0, 'body': {'media_id': 'media-1'}}
return {'errcode': 0}
class Bot:
def __init__(self):
self.calls = []
async def upload_media(self, data, filename='attachment', media_type='file'):
self.calls.append(('upload_media', media_type, filename, data))
return {'media_id': 'media-1'}
async def reply_text(self, req_id, content):
self.calls.append(('reply_text', req_id, content))
async def reply_image(self, req_id, media_id):
self.calls.append(('reply_image', req_id, media_id))
async def send_message(self, target_id, content):
self.calls.append(('send_message', target_id, content))
def make_adapter(bot):
return WecomBotAdapter.model_construct(
bot=bot,
config={'enable-webhook': False},
logger=Logger(),
message_converter=WecomBotMessageConverter(),
)
@pytest.mark.asyncio
async def test_ws_client_upload_media_uses_chunk_protocol():
client = UploadClient()
data = b'a' * (_UPLOAD_CHUNK_SIZE + 1)
upload_result = await client.upload_media(data, 'image.png', media_type='image')
assert upload_result['media_id'] == 'media-1'
assert [cmd for cmd, _ in client.frames] == [
'aibot_upload_media_init',
'aibot_upload_media_chunk',
'aibot_upload_media_chunk',
'aibot_upload_media_finish',
]
init_body = client.frames[0][1]
assert init_body['type'] == 'image'
assert init_body['filename'] == 'image.png'
assert init_body['total_size'] == len(data)
assert init_body['total_chunks'] == 2
assert client.frames[1][1]['chunk_index'] == 0
assert base64.b64decode(client.frames[1][1]['base64_data']) == b'a' * _UPLOAD_CHUNK_SIZE
assert client.frames[2][1]['chunk_index'] == 1
assert base64.b64decode(client.frames[2][1]['base64_data']) == b'a'
@pytest.mark.asyncio
async def test_reply_message_uploads_and_replies_image_media():
bot = Bot()
adapter = make_adapter(bot)
png_data = b'\x89PNG\r\n\x1a\nimage'
image_b64 = base64.b64encode(png_data).decode('utf-8')
chain = platform_message.MessageChain([platform_message.Image(base64=f'data:image/png;base64,{image_b64}')])
items = await WecomBotMessageConverter.yiri2target(chain)
await adapter._send_media(bot, 'req-1', items[0])
assert bot.calls == [
('upload_media', 'image', 'attachment.image', png_data),
('reply_image', 'req-1', 'media-1'),
]
@pytest.mark.asyncio
async def test_send_message_sends_text_and_skips_proactive_image():
bot = Bot()
adapter = make_adapter(bot)
jpg_data = b'\xff\xd8\xffimage'
image_b64 = base64.b64encode(jpg_data).decode('utf-8')
chain = platform_message.MessageChain(
[
platform_message.Plain(text='before'),
platform_message.Image(base64=f'data:image/jpeg;base64,{image_b64}'),
platform_message.Plain(text='after'),
]
)
await adapter.send_message('group', 'chat-1', chain)
assert bot.calls == [
('send_message', 'chat-1', 'beforeafter'),
]