mirror of
https://github.com/langbot-app/LangBot.git
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feat: Expanded WeCom message parsing to capture msgtype, inline voice/video… (#1843)
* Expanded WeCom message parsing to capture msgtype, inline voice/video/file/link data, bounded base64 downloads, and richer mixed-message attachments (src/langbot/libs/wecom_ai_bot_api/api.py); added event accessors for new fields (src/langbot/libs/wecom_ai_bot_api/wecombotevent.py). Converter now maps richer WeCom payloads (text, images, files, voice, video, links) into platform message chain with fallbacks when nothing parsable is present (src/langbot/pkg/platform/sources/wecombot.py). Preprocessor now turns voice inputs into file URLs for downstream runners (src/langbot/pkg/pipeline/preproc/preproc.py). Dify runner uploads all incoming files (images/audio/video/docs) after downloading or decoding data URLs, infers MIME types, and passes typed file descriptors into chat/workflow calls (src/langbot/pkg/provider/runners/difysvapi.py). * Update src/langbot/pkg/platform/sources/wecombot.py Fixed the issue of duplicate text in the comments. Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update src/langbot/libs/wecom_ai_bot_api/api.py Modify the way you approach challenges. Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update src/langbot/pkg/platform/sources/wecombot.py Changing the variable names makes more sense. Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * feat: use from_base64 for the voice file converting --------- Co-authored-by: tabriswang <tabriswang@finecomn.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Junyan Qin <rockchinq@gmail.com>
This commit is contained in:
@@ -4,6 +4,7 @@ import typing
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import json
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import uuid
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import base64
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import mimetypes
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from langbot.pkg.provider import runner
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@@ -12,6 +13,7 @@ import langbot_plugin.api.entities.builtin.provider.message as provider_message
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from langbot.pkg.utils import image
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import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
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from langbot.libs.dify_service_api.v1 import client, errors
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import httpx
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@runner.runner_class('dify-service-api')
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@@ -70,14 +72,43 @@ class DifyServiceAPIRunner(runner.RequestRunner):
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content = f'<think>\n{thinking_content}\n</think>\n{content}'.strip()
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return content, thinking_content
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async def _preprocess_user_message(self, query: pipeline_query.Query) -> tuple[str, list[str]]:
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"""预处理用户消息,提取纯文本,并将图片上传到 Dify 服务
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async def _preprocess_user_message(self, query: pipeline_query.Query) -> tuple[str, list[dict]]:
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"""预处理用户消息,提取纯文本,并将图片/文件上传到 Dify 服务
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Returns:
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tuple[str, list[str]]: 纯文本和图片的 Dify 服务图片 ID
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tuple[str, list[dict]]: 纯文本和上传后的文件描述(包含 type 与 id)
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"""
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plain_text = ''
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file_ids = []
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upload_files: list[dict] = []
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user_tag = f'{query.session.launcher_type.value}_{query.session.launcher_id}'
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async def upload_file_bytes(file_name: str, file_bytes: bytes, content_type: str) -> str:
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file_name = file_name or 'file'
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content_type = content_type or 'application/octet-stream'
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file = (file_name, file_bytes, content_type)
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resp = await self.dify_client.upload_file(file, user_tag)
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return resp['id']
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async def download_file(file_url: str) -> tuple[bytes, str]:
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"""Download file from url (supports data url)."""
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async with httpx.AsyncClient() as client_session:
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resp = await client_session.get(file_url)
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resp.raise_for_status()
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content_type = (
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resp.headers.get('content-type') or mimetypes.guess_type(file_url)[0] or 'application/octet-stream'
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)
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return resp.content, content_type
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def _detect_file_type(content_type: str) -> str:
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"""Map MIME to dify file type."""
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if content_type and content_type.startswith('image/'):
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return 'image'
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if content_type and content_type.startswith('audio/'):
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return 'audio'
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if content_type and content_type.startswith('video/'):
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return 'video'
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return 'document'
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if isinstance(query.user_message.content, list):
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for ce in query.user_message.content:
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@@ -86,30 +117,36 @@ class DifyServiceAPIRunner(runner.RequestRunner):
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elif ce.type == 'image_base64':
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image_b64, image_format = await image.extract_b64_and_format(ce.image_base64)
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file_bytes = base64.b64decode(image_b64)
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file = ('img.png', file_bytes, f'image/{image_format}')
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file_upload_resp = await self.dify_client.upload_file(
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file,
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f'{query.session.launcher_type.value}_{query.session.launcher_id}',
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)
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image_id = file_upload_resp['id']
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file_ids.append(image_id)
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# elif ce.type == "file_url":
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# file_bytes = base64.b64decode(ce.file_url)
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# file_upload_resp = await self.dify_client.upload_file(
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# file_bytes,
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# f'{query.session.launcher_type.value}_{query.session.launcher_id}',
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# )
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# file_id = file_upload_resp['id']
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# file_ids.append(file_id)
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image_id = await upload_file_bytes(f'img.{image_format}', file_bytes, f'image/{image_format}')
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upload_files.append({'type': 'image', 'id': image_id})
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elif ce.type == 'file_url':
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file_url = getattr(ce, 'file_url', None)
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file_name = getattr(ce, 'file_name', None) or 'file'
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try:
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file_bytes, content_type = await download_file(file_url)
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file_id = await upload_file_bytes(file_name, file_bytes, content_type)
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file_type = _detect_file_type(content_type)
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upload_files.append({'type': file_type, 'id': file_id})
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except Exception as e:
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self.ap.logger.warning(f'dify file upload failed: {e}')
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elif ce.type == 'file_base64':
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file_name = getattr(ce, 'file_name', None) or 'file'
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header, b64_data = ce.file_base64.split(',', 1)
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content_type = 'application/octet-stream'
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if ';' in header:
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content_type = header.split(';')[0][5:] or content_type
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file_bytes = base64.b64decode(b64_data)
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file_id = await upload_file_bytes(file_name, file_bytes, content_type)
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file_type = _detect_file_type(content_type)
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upload_files.append({'type': file_type, 'id': file_id})
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elif isinstance(query.user_message.content, str):
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plain_text = query.user_message.content
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# plain_text = "When the file content is readable, please read the content of this file. When the file is an image, describe the content of this image." if file_ids and not plain_text else plain_text
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# plain_text = "The user message type cannot be parsed." if not file_ids and not plain_text else plain_text
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# plain_text = plain_text if plain_text else "When the file content is readable, please read the content of this file. When the file is an image, describe the content of this image."
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# print(self.pipeline_config['ai'])
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plain_text = plain_text if plain_text else self.pipeline_config['ai']['dify-service-api']['base-prompt']
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return plain_text, file_ids
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return plain_text, upload_files
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async def _chat_messages(
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self, query: pipeline_query.Query
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@@ -118,14 +155,15 @@ class DifyServiceAPIRunner(runner.RequestRunner):
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cov_id = query.session.using_conversation.uuid or ''
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query.variables['conversation_id'] = cov_id
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plain_text, image_ids = await self._preprocess_user_message(query)
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plain_text, upload_files = await self._preprocess_user_message(query)
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files = [
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{
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'type': 'image',
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'upload_file_id': image_id,
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'type': f['type'],
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'transfer_method': 'local_file',
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'upload_file_id': f['id'],
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}
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for image_id in image_ids
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for f in upload_files
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]
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mode = 'basic' # 标记是基础编排还是工作流编排
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@@ -183,15 +221,15 @@ class DifyServiceAPIRunner(runner.RequestRunner):
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cov_id = query.session.using_conversation.uuid or ''
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query.variables['conversation_id'] = cov_id
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plain_text, image_ids = await self._preprocess_user_message(query)
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plain_text, upload_files = await self._preprocess_user_message(query)
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files = [
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{
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'type': 'image',
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'type': f['type'],
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'transfer_method': 'local_file',
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'upload_file_id': image_id,
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'upload_file_id': f['id'],
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}
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for image_id in image_ids
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for f in upload_files
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]
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ignored_events = []
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@@ -280,15 +318,15 @@ class DifyServiceAPIRunner(runner.RequestRunner):
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query.variables['conversation_id'] = query.session.using_conversation.uuid
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plain_text, image_ids = await self._preprocess_user_message(query)
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plain_text, upload_files = await self._preprocess_user_message(query)
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files = [
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{
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'type': 'image',
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'type': f['type'],
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'transfer_method': 'local_file',
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'upload_file_id': image_id,
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'upload_file_id': f['id'],
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}
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for image_id in image_ids
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for f in upload_files
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]
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ignored_events = ['text_chunk', 'workflow_started']
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@@ -352,15 +390,15 @@ class DifyServiceAPIRunner(runner.RequestRunner):
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cov_id = query.session.using_conversation.uuid or ''
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query.variables['conversation_id'] = cov_id
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plain_text, image_ids = await self._preprocess_user_message(query)
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plain_text, upload_files = await self._preprocess_user_message(query)
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files = [
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{
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'type': 'image',
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'type': f['type'],
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'transfer_method': 'local_file',
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'upload_file_id': image_id,
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'upload_file_id': f['id'],
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}
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for image_id in image_ids
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for f in upload_files
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]
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basic_mode_pending_chunk = ''
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@@ -436,15 +474,15 @@ class DifyServiceAPIRunner(runner.RequestRunner):
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cov_id = query.session.using_conversation.uuid or ''
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query.variables['conversation_id'] = cov_id
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plain_text, image_ids = await self._preprocess_user_message(query)
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plain_text, upload_files = await self._preprocess_user_message(query)
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files = [
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{
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'type': 'image',
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'type': f['type'],
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'transfer_method': 'local_file',
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'upload_file_id': image_id,
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'upload_file_id': f['id'],
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}
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for image_id in image_ids
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for f in upload_files
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]
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ignored_events = []
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@@ -558,15 +596,15 @@ class DifyServiceAPIRunner(runner.RequestRunner):
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query.variables['conversation_id'] = query.session.using_conversation.uuid
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plain_text, image_ids = await self._preprocess_user_message(query)
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plain_text, upload_files = await self._preprocess_user_message(query)
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files = [
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{
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'type': 'image',
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'type': f['type'],
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'transfer_method': 'local_file',
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'upload_file_id': image_id,
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'upload_file_id': f['id'],
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}
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for image_id in image_ids
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for f in upload_files
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]
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ignored_events = ['workflow_started']
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