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https://github.com/langbot-app/LangBot.git
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fix: dify的timeout无法自定义 (#949)
This commit is contained in:
19
pkg/core/migrations/m017_dify_api_timeout_params.py
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19
pkg/core/migrations/m017_dify_api_timeout_params.py
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@@ -0,0 +1,19 @@
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from __future__ import annotations
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from .. import migration
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@migration.migration_class("dify-api-timeout-params", 17)
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class DifyAPITimeoutParamsMigration(migration.Migration):
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"""迁移"""
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async def need_migrate(self) -> bool:
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"""判断当前环境是否需要运行此迁移"""
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return 'timeout' not in self.ap.provider_cfg.data['dify-service-api']['chat'] or 'timeout' not in self.ap.provider_cfg.data['dify-service-api']['workflow']
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async def run(self):
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"""执行迁移"""
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self.ap.provider_cfg.data['dify-service-api']['chat']['timeout'] = 120
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self.ap.provider_cfg.data['dify-service-api']['workflow']['timeout'] = 120
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await self.ap.provider_cfg.dump_config()
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@@ -7,7 +7,7 @@ from .. import migration
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from ..migrations import m001_sensitive_word_migration, m002_openai_config_migration, m003_anthropic_requester_cfg_completion, m004_moonshot_cfg_completion
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from ..migrations import m001_sensitive_word_migration, m002_openai_config_migration, m003_anthropic_requester_cfg_completion, m004_moonshot_cfg_completion
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from ..migrations import m005_deepseek_cfg_completion, m006_vision_config, m007_qcg_center_url, m008_ad_fixwin_config_migrate, m009_msg_truncator_cfg
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from ..migrations import m005_deepseek_cfg_completion, m006_vision_config, m007_qcg_center_url, m008_ad_fixwin_config_migrate, m009_msg_truncator_cfg
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from ..migrations import m010_ollama_requester_config, m011_command_prefix_config, m012_runner_config, m013_http_api_config, m014_force_delay_config
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from ..migrations import m010_ollama_requester_config, m011_command_prefix_config, m012_runner_config, m013_http_api_config, m014_force_delay_config
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from ..migrations import m015_gitee_ai_config, m016_dify_service_api
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from ..migrations import m015_gitee_ai_config, m016_dify_service_api, m017_dify_api_timeout_params
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@stage.stage_class("MigrationStage")
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@stage.stage_class("MigrationStage")
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@@ -91,7 +91,7 @@ class ChatMessageHandler(handler.MessageHandler):
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query.session.using_conversation.messages.extend(query.resp_messages)
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query.session.using_conversation.messages.extend(query.resp_messages)
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except Exception as e:
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except Exception as e:
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self.ap.logger.error(f'对话({query.query_id})请求失败: {str(e)}')
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self.ap.logger.error(f'对话({query.query_id})请求失败: {type(e).__name__} {str(e)}')
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yield entities.StageProcessResult(
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yield entities.StageProcessResult(
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result_type=entities.ResultType.INTERRUPT,
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result_type=entities.ResultType.INTERRUPT,
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@@ -20,125 +20,175 @@ class DifyServiceAPIRunner(runner.RequestRunner):
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async def initialize(self):
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async def initialize(self):
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"""初始化"""
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"""初始化"""
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valid_app_types = ['chat', 'workflow']
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valid_app_types = ["chat", "workflow"]
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if self.ap.provider_cfg.data['dify-service-api']['app-type'] not in valid_app_types:
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if (
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raise errors.DifyAPIError(f"不支持的 Dify 应用类型: {self.ap.provider_cfg.data['dify-service-api']['app-type']}")
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self.ap.provider_cfg.data["dify-service-api"]["app-type"]
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not in valid_app_types
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):
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raise errors.DifyAPIError(
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f"不支持的 Dify 应用类型: {self.ap.provider_cfg.data['dify-service-api']['app-type']}"
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)
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api_key = self.ap.provider_cfg.data['dify-service-api'][self.ap.provider_cfg.data['dify-service-api']['app-type']]['api-key']
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api_key = self.ap.provider_cfg.data["dify-service-api"][
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self.ap.provider_cfg.data["dify-service-api"]["app-type"]
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]["api-key"]
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self.dify_client = client.AsyncDifyServiceClient(
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self.dify_client = client.AsyncDifyServiceClient(
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api_key=api_key,
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api_key=api_key,
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base_url=self.ap.provider_cfg.data['dify-service-api']['base-url']
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base_url=self.ap.provider_cfg.data["dify-service-api"]["base-url"],
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)
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)
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async def _preprocess_user_message(self, query: core_entities.Query) -> tuple[str, list[str]]:
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async def _preprocess_user_message(
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self, query: core_entities.Query
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) -> 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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"""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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Returns:
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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[str]]: 纯文本和图片的 Dify 服务图片 ID
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"""
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"""
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plain_text = ''
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plain_text = ""
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image_ids = []
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image_ids = []
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if isinstance(query.user_message.content, list):
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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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for ce in query.user_message.content:
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if ce.type == 'text':
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if ce.type == "text":
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plain_text += ce.text
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plain_text += ce.text
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elif ce.type == 'image_url':
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elif ce.type == "image_url":
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file_bytes, image_format = await image.get_qq_image_bytes(ce.image_url.url)
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file_bytes, image_format = await image.get_qq_image_bytes(
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ce.image_url.url
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)
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file = ("img.png", file_bytes, f"image/{image_format}")
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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(file, f"{query.session.launcher_type.value}_{query.session.launcher_id}")
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file_upload_resp = await self.dify_client.upload_file(
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image_id = file_upload_resp['id']
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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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image_ids.append(image_id)
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image_ids.append(image_id)
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elif isinstance(query.user_message.content, str):
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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 = query.user_message.content
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return plain_text, image_ids
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return plain_text, image_ids
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async def _chat_messages(self, query: core_entities.Query) -> typing.AsyncGenerator[llm_entities.Message, None]:
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async def _chat_messages(
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self, query: core_entities.Query
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) -> typing.AsyncGenerator[llm_entities.Message, None]:
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"""调用聊天助手"""
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"""调用聊天助手"""
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cov_id = query.session.using_conversation.uuid or ""
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cov_id = query.session.using_conversation.uuid or ""
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plain_text, image_ids = await self._preprocess_user_message(query)
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plain_text, image_ids = await self._preprocess_user_message(query)
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files = [{
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files = [
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'type': 'image',
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{
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'transfer_method': 'local_file',
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"type": "image",
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'upload_file_id': image_id,
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"transfer_method": "local_file",
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} for image_id in image_ids]
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"upload_file_id": image_id,
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}
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for image_id in image_ids
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]
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resp = await self.dify_client.chat_messages(inputs={}, query=plain_text, user=f"{query.session.launcher_type.value}_{query.session.launcher_id}", conversation_id=cov_id, files=files)
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resp = await self.dify_client.chat_messages(
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inputs={},
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query=plain_text,
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user=f"{query.session.launcher_type.value}_{query.session.launcher_id}",
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conversation_id=cov_id,
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files=files,
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timeout=self.ap.provider_cfg.data["dify-service-api"]["chat"]["timeout"],
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)
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msg = llm_entities.Message(
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msg = llm_entities.Message(
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role='assistant',
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role="assistant",
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content=resp['answer'],
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content=resp["answer"],
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)
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)
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yield msg
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yield msg
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query.session.using_conversation.uuid = resp['conversation_id']
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query.session.using_conversation.uuid = resp["conversation_id"]
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async def _workflow_messages(self, query: core_entities.Query) -> typing.AsyncGenerator[llm_entities.Message, None]:
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async def _workflow_messages(
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self, query: core_entities.Query
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) -> typing.AsyncGenerator[llm_entities.Message, None]:
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"""调用工作流"""
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"""调用工作流"""
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if not query.session.using_conversation.uuid:
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if not query.session.using_conversation.uuid:
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query.session.using_conversation.uuid = str(uuid.uuid4())
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query.session.using_conversation.uuid = str(uuid.uuid4())
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cov_id = query.session.using_conversation.uuid
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cov_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, image_ids = await self._preprocess_user_message(query)
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files = [{
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files = [
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'type': 'image',
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{
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'transfer_method': 'local_file',
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"type": "image",
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'upload_file_id': image_id,
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"transfer_method": "local_file",
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} for image_id in image_ids]
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"upload_file_id": image_id,
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}
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for image_id in image_ids
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]
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ignored_events = ['text_chunk', 'workflow_started']
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ignored_events = ["text_chunk", "workflow_started"]
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async for chunk in self.dify_client.workflow_run(inputs={
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async for chunk in self.dify_client.workflow_run(
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"langbot_user_message_text": plain_text,
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inputs={
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"langbot_session_id": f"{query.session.launcher_type.value}_{query.session.launcher_id}",
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"langbot_user_message_text": plain_text,
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"langbot_conversation_id": cov_id,
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"langbot_session_id": f"{query.session.launcher_type.value}_{query.session.launcher_id}",
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}, user=f"{query.session.launcher_type.value}_{query.session.launcher_id}", files=files):
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"langbot_conversation_id": cov_id,
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if chunk['event'] in ignored_events:
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},
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user=f"{query.session.launcher_type.value}_{query.session.launcher_id}",
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files=files,
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timeout=self.ap.provider_cfg.data["dify-service-api"]["workflow"]["timeout"],
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):
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if chunk["event"] in ignored_events:
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continue
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continue
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if chunk['event'] == 'node_started':
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if chunk["event"] == "node_started":
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if chunk['data']['node_type'] == 'start' or chunk['data']['node_type'] == 'end':
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if (
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chunk["data"]["node_type"] == "start"
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or chunk["data"]["node_type"] == "end"
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):
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continue
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continue
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msg = llm_entities.Message(
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msg = llm_entities.Message(
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role='assistant',
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role="assistant",
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content=None,
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content=None,
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tool_calls=[llm_entities.ToolCall(
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tool_calls=[
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id=chunk['data']['node_id'],
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llm_entities.ToolCall(
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type='function',
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id=chunk["data"]["node_id"],
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function=llm_entities.FunctionCall(
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type="function",
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name=chunk['data']['title'],
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function=llm_entities.FunctionCall(
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arguments=json.dumps({}),
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name=chunk["data"]["title"],
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),
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arguments=json.dumps({}),
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)],
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),
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)
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],
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)
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)
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yield msg
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yield msg
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elif chunk['event'] == 'workflow_finished':
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elif chunk["event"] == "workflow_finished":
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msg = llm_entities.Message(
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msg = llm_entities.Message(
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role='assistant',
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role="assistant",
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content=chunk['data']['outputs'][self.ap.provider_cfg.data['dify-service-api']['workflow']['output-key']],
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content=chunk["data"]["outputs"][
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self.ap.provider_cfg.data["dify-service-api"]["workflow"][
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"output-key"
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]
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],
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)
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)
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yield msg
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yield msg
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async def run(self, query: core_entities.Query) -> typing.AsyncGenerator[llm_entities.Message, None]:
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async def run(
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self, query: core_entities.Query
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) -> typing.AsyncGenerator[llm_entities.Message, None]:
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"""运行请求"""
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"""运行请求"""
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if self.ap.provider_cfg.data['dify-service-api']['app-type'] == 'chat':
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if self.ap.provider_cfg.data["dify-service-api"]["app-type"] == "chat":
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async for msg in self._chat_messages(query):
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async for msg in self._chat_messages(query):
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yield msg
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yield msg
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elif self.ap.provider_cfg.data['dify-service-api']['app-type'] == 'workflow':
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elif self.ap.provider_cfg.data["dify-service-api"]["app-type"] == "workflow":
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async for msg in self._workflow_messages(query):
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async for msg in self._workflow_messages(query):
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yield msg
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yield msg
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else:
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else:
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raise errors.DifyAPIError(f"不支持的 Dify 应用类型: {self.ap.provider_cfg.data['dify-service-api']['app-type']}")
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raise errors.DifyAPIError(
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f"不支持的 Dify 应用类型: {self.ap.provider_cfg.data['dify-service-api']['app-type']}"
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)
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@@ -22,13 +22,3 @@ def install_requirements(file):
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pipmain(['install', '-r', file, "-i", "https://pypi.tuna.tsinghua.edu.cn/simple",
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pipmain(['install', '-r', file, "-i", "https://pypi.tuna.tsinghua.edu.cn/simple",
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"--trusted-host", "pypi.tuna.tsinghua.edu.cn"])
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"--trusted-host", "pypi.tuna.tsinghua.edu.cn"])
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# log.reset_logging()
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# log.reset_logging()
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if __name__ == "__main__":
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try:
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install("openai11")
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except Exception as e:
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print(111)
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print(e)
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print(222)
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@@ -62,11 +62,13 @@
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"base-url": "https://api.dify.ai/v1",
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"base-url": "https://api.dify.ai/v1",
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"app-type": "chat",
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"app-type": "chat",
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"chat": {
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"chat": {
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"api-key": "app-1234567890"
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"api-key": "app-1234567890",
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"timeout": 120
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},
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},
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"workflow": {
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"workflow": {
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"api-key": "app-1234567890",
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"api-key": "app-1234567890",
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"output-key": "summary"
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"output-key": "summary",
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"timeout": 120
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}
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}
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}
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}
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}
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}
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