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If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. \ No newline at end of file diff --git a/libs/README.md b/libs/README.md new file mode 100644 index 00000000..eece6f89 --- /dev/null +++ b/libs/README.md @@ -0,0 +1,4 @@ +# LangBot/libs + +LangBot 项目下的 libs 目录下的所有代码均遵循本目录下的许可证约束。 +您在使用、修改、分发本目录下的代码时，需要遵守其中包含的条款。 diff --git a/libs/dify_service_api/README.md b/libs/dify_service_api/README.md new file mode 100644 index 00000000..a94aefe7 --- /dev/null +++ b/libs/dify_service_api/README.md @@ -0,0 +1,3 @@ +# Dify Service API Python SDK + +这个 SDK 尚不完全支持 Dify Service API 的所有功能。 diff --git a/libs/dify_service_api/__init__.py b/libs/dify_service_api/__init__.py new file mode 100644 index 00000000..5f178abb --- /dev/null +++ b/libs/dify_service_api/__init__.py @@ -0,0 +1,2 @@ +from .v1 import client +from .v1 import errors \ No newline at end of file diff --git a/libs/dify_service_api/test.py b/libs/dify_service_api/test.py new file mode 100644 index 00000000..4c2662fa --- /dev/null +++ b/libs/dify_service_api/test.py @@ -0,0 +1,44 @@ +from v1 import client + +import asyncio + +import os +import json + + +class TestDifyClient: + async def test_chat_messages(self): + cln = client.AsyncDifyServiceClient(api_key=os.getenv("DIFY_API_KEY"), base_url=os.getenv("DIFY_BASE_URL")) + + resp = await cln.chat_messages(inputs={}, query="Who are you?", user="test") + print(json.dumps(resp, ensure_ascii=False, indent=4)) + + async def test_upload_file(self): + cln = client.AsyncDifyServiceClient(api_key=os.getenv("DIFY_API_KEY"), base_url=os.getenv("DIFY_BASE_URL")) + + file_bytes = open("img.png", "rb").read() + + print(type(file_bytes)) + + file = ("img2.png", file_bytes, "image/png") + + resp = await cln.upload_file(file=file, user="test") + print(json.dumps(resp, ensure_ascii=False, indent=4)) + + async def test_workflow_run(self): + cln = client.AsyncDifyServiceClient(api_key=os.getenv("DIFY_API_KEY"), base_url=os.getenv("DIFY_BASE_URL")) + + # resp = await cln.workflow_run(inputs={}, user="test") + # # print(json.dumps(resp, ensure_ascii=False, indent=4)) + # print(resp) + chunks = [] + + ignored_events = ['text_chunk'] + async for chunk in cln.workflow_run(inputs={}, user="test"): + if chunk['event'] in ignored_events: + continue + chunks.append(chunk) + print(json.dumps(chunks, ensure_ascii=False, indent=4)) + +if __name__ == "__main__": + asyncio.run(TestDifyClient().test_workflow_run()) diff --git a/libs/dify_service_api/v1/__init__.py b/libs/dify_service_api/v1/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/libs/dify_service_api/v1/client.py b/libs/dify_service_api/v1/client.py new file mode 100644 index 00000000..91b60052 --- /dev/null +++ b/libs/dify_service_api/v1/client.py @@ -0,0 +1,125 @@ +from __future__ import annotations + +import httpx +import typing +import json + +from .errors import DifyAPIError + + +class AsyncDifyServiceClient: + """Dify Service API 客户端""" + + api_key: str + base_url: str + + def __init__( + self, + api_key: str, + base_url: str = "https://api.dify.ai/v1", + ) -> None: + self.api_key = api_key + self.base_url = base_url + + async def chat_messages( + self, + inputs: dict[str, typing.Any], + query: str, + user: str, + response_mode: str = "blocking", # 当前不支持 streaming + conversation_id: str = "", + files: list[dict[str, typing.Any]] = [], + timeout: float = 30.0, + ) -> dict[str, typing.Any]: + """发送消息""" + if response_mode != "blocking": + raise DifyAPIError("当前仅支持 blocking 模式") + + async with httpx.AsyncClient( + base_url=self.base_url, + trust_env=True, + timeout=timeout, + ) as client: + response = await client.post( + "/chat-messages", + headers={"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"}, + json={ + "inputs": inputs, + "query": query, + "user": user, + "response_mode": response_mode, + "conversation_id": conversation_id, + "files": files, + }, + ) + + if response.status_code != 200: + raise DifyAPIError(f"{response.status_code} {response.text}") + + return response.json() + + async def workflow_run( + self, + inputs: dict[str, typing.Any], + user: str, + response_mode: str = "streaming", # 当前不支持 blocking + files: list[dict[str, typing.Any]] = [], + timeout: float = 30.0, + ) -> typing.AsyncGenerator[dict[str, typing.Any], None]: + """运行工作流""" + if response_mode != "streaming": + raise DifyAPIError("当前仅支持 streaming 模式") + + async with httpx.AsyncClient( + base_url=self.base_url, + trust_env=True, + timeout=timeout, + ) as client: + + async with client.stream( + "POST", + "/workflows/run", + headers={"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"}, + json={ + "inputs": inputs, + "user": user, + "response_mode": response_mode, + "files": files, + }, + ) as r: + async for chunk in r.aiter_lines(): + if chunk.strip() == "": + continue + if chunk.startswith("data:"): + yield json.loads(chunk[5:]) + + async def upload_file( + self, + file: httpx._types.FileTypes, + user: str, + timeout: float = 30.0, + ) -> str: + """上传文件""" + # curl -X POST 'http://dify.rockchin.top/v1/files/upload' \ + # --header 'Authorization: Bearer {api_key}' \ + # --form 'file=@localfile;type=image/[png|jpeg|jpg|webp|gif] \ + # --form 'user=abc-123' + async with httpx.AsyncClient( + base_url=self.base_url, + trust_env=True, + timeout=timeout, + ) as client: + # multipart/form-data + response = await client.post( + "/files/upload", + headers={"Authorization": f"Bearer {self.api_key}"}, + files={ + "file": file, + "user": (None, user), + }, + ) + + if response.status_code != 201: + raise DifyAPIError(f"{response.status_code} {response.text}") + + return response.json() diff --git a/libs/dify_service_api/v1/client_test.py b/libs/dify_service_api/v1/client_test.py new file mode 100644 index 00000000..58ef53b4 --- /dev/null +++ b/libs/dify_service_api/v1/client_test.py @@ -0,0 +1,17 @@ +from . import client + +import asyncio + +import os + + +class TestDifyClient: + async def test_chat_messages(self): + cln = client.DifyClient(api_key=os.getenv("DIFY_API_KEY")) + + resp = await cln.chat_messages(inputs={}, query="Who are you?", user_id="test") + print(resp) + + +if __name__ == "__main__": + asyncio.run(TestDifyClient().test_chat_messages()) diff --git a/libs/dify_service_api/v1/errors.py b/libs/dify_service_api/v1/errors.py new file mode 100644 index 00000000..0b71fc55 --- /dev/null +++ b/libs/dify_service_api/v1/errors.py @@ -0,0 +1,6 @@ +class DifyAPIError(Exception): + """Dify API 请求失败""" + + def __init__(self, message: str): + self.message = message + super().__init__(self.message) diff --git a/pkg/core/entities.py b/pkg/core/entities.py index 5156d8ca..712835b1 100644 --- a/pkg/core/entities.py +++ b/pkg/core/entities.py @@ -91,7 +91,7 @@ class Config: class Conversation(pydantic.BaseModel): - """对话，包含于 Session 中，一个 Session 可以有多个历史 Conversation，但只有一个当前使用的 Conversation""" + """对话，包含于 Session 中，一个 Session 可以有多个历史 Conversation，但只有一个当前使用的 Conversation""" prompt: sysprompt_entities.Prompt @@ -105,6 +105,9 @@ class Conversation(pydantic.BaseModel): use_funcs: typing.Optional[list[tools_entities.LLMFunction]] + uuid: typing.Optional[str] = None + """该对话的 uuid，在创建时不会自动生成。而是当使用 Dify API 等由外部管理对话信息的服务时，用于绑定外部的会话。具体如何使用，取决于 Runner。""" + class Session(pydantic.BaseModel): """会话，一个 Session 对应一个 {launcher_type.value}_{launcher_id}""" diff --git a/pkg/core/migrations/m016_dify_service_api.py b/pkg/core/migrations/m016_dify_service_api.py new file mode 100644 index 00000000..92e8b6ee --- /dev/null +++ b/pkg/core/migrations/m016_dify_service_api.py @@ -0,0 +1,28 @@ +from __future__ import annotations + +from .. import migration + + +@migration.migration_class("dify-service-api-config", 16) +class DifyServiceAPICfgMigration(migration.Migration): + """迁移""" + + async def need_migrate(self) -> bool: + """判断当前环境是否需要运行此迁移""" + return 'dify-service-api' not in self.ap.provider_cfg.data + + async def run(self): + """执行迁移""" + self.ap.provider_cfg.data['dify-service-api'] = { + "base-url": "https://api.dify.ai/v1", + "app-type": "chat", + "chat": { + "api-key": "sk-1234567890" + }, + "workflow": { + "api-key": "sk-1234567890", + "output-key": "summary" + } + } + + await self.ap.provider_cfg.dump_config() diff --git a/pkg/core/stages/migrate.py b/pkg/core/stages/migrate.py index 8950ca35..ec70a2ab 100644 --- a/pkg/core/stages/migrate.py +++ b/pkg/core/stages/migrate.py @@ -7,7 +7,7 @@ from ..migrations import m001_sensitive_word_migration, m002_openai_config_migration, m003_anthropic_requester_cfg_completion, m004_moonshot_cfg_completion from ..migrations import m005_deepseek_cfg_completion, m006_vision_config, m007_qcg_center_url, m008_ad_fixwin_config_migrate, m009_msg_truncator_cfg from ..migrations import m010_ollama_requester_config, m011_command_prefix_config, m012_runner_config, m013_http_api_config, m014_force_delay_config -from ..migrations import m015_gitee_ai_config +from ..migrations import m015_gitee_ai_config, m016_dify_service_api @stage.stage_class("MigrationStage") diff --git a/pkg/provider/runnermgr.py b/pkg/provider/runnermgr.py index 772c43b8..f45abfa4 100644 --- a/pkg/provider/runnermgr.py +++ b/pkg/provider/runnermgr.py @@ -4,7 +4,7 @@ from ..core import app from .runners import localagent -from .runners import difyapi +from .runners import difysvapi class RunnerManager: diff --git a/pkg/provider/runners/difyapi.py b/pkg/provider/runners/difyapi.py index c7139bc4..4b75a2ef 100644 --- a/pkg/provider/runners/difyapi.py +++ b/pkg/provider/runners/difyapi.py @@ -1,205 +1,205 @@ -from __future__ import annotations - -import json -import typing -import aiohttp - -from .. import runner -from ...core import app, entities as core_entities -from .. import entities as llm_entities - -api_url = "请求地址/v1" -api_key = "请求key" -user_name = "dify-plugin" -# 需要在dify的自定义字段中另外设置context和system_prompt -headers = { - "Authorization": f"Bearer {api_key}", - "Content-Type": "application/json" -} - - -def get_content_text(content): - if isinstance(content, list): - return " ".join(str(element) if element.image_url is None else " " for element in content) - elif isinstance(content, str): - return content - else: - return "" - - -@runner.runner_class("difyapi") -class DifyAgentRunner(runner.RequestRunner): - """Dify API 对话请求器 - """ - - async def run(self, query: core_entities.Query) -> typing.AsyncGenerator[llm_entities.Message, None]: - """运行请求""" - await query.use_model.requester.preprocess(query) - - # 构建系统提示词 - prompt_messages = query.prompt.messages.copy() - system_prompt = "\n".join( - f"{msg.role}: {get_content_text(msg.content)}" for msg in prompt_messages if msg.content - ) - - # 构建上下文 - previous_messages = query.messages.copy() - user_message = [query.user_message] - - # 检查 user_message 中的 image_url - image_urls = [element.image_url.url for element in query.user_message.content if element.type == 'image_url' and element.image_url is not None] - - if len(image_urls) > 10: - raise ValueError("仅可包含最多10张图片") - - data = {} - if image_urls: - data["files"] = [ - { - "type": "image", - "transfer_method": "remote_url", - "url": url - } for url in image_urls - ] - else: - data["files"] = [] - - # 继续处理其他逻辑 - all_messages = previous_messages + user_message - - context = "\n".join( - f"{msg.role}: {get_content_text(msg.content)}" for msg in all_messages if msg.content - ) - - # 构建请求数据 - data.update({ - "inputs": { - "context": context, - "system_prompt": system_prompt, - "files": data["files"] - }, - "query": get_content_text(query.user_message.content), - "response_mode": "blocking", - "conversation_id": "", - "user": user_name +# from __future__ import annotations + +# import json +# import typing +# import aiohttp + +# from .. import runner +# from ...core import app, entities as core_entities +# from .. import entities as llm_entities + +# api_url = "请求地址/v1" +# api_key = "请求key" +# user_name = "dify-plugin" +# # 需要在dify的自定义字段中另外设置context和system_prompt +# headers = { +# "Authorization": f"Bearer {api_key}", +# "Content-Type": "application/json" +# } + + +# def get_content_text(content): +# if isinstance(content, list): +# return " ".join(str(element) if element.image_url is None else " " for element in content) +# elif isinstance(content, str): +# return content +# else: +# return "" + + +# @runner.runner_class("dify-api") +# class DifyAPIRunner(runner.RequestRunner): +# """Dify API 对话请求器 +# """ + +# async def run(self, query: core_entities.Query) -> typing.AsyncGenerator[llm_entities.Message, None]: +# """运行请求""" +# await query.use_model.requester.preprocess(query) + +# # 构建系统提示词 +# prompt_messages = query.prompt.messages.copy() +# system_prompt = "\n".join( +# f"{msg.role}: {get_content_text(msg.content)}" for msg in prompt_messages if msg.content +# ) + +# # 构建上下文 +# previous_messages = query.messages.copy() +# user_message = [query.user_message] + +# # 检查 user_message 中的 image_url +# image_urls = [element.image_url.url for element in query.user_message.content if element.type == 'image_url' and element.image_url is not None] + +# if len(image_urls) > 10: +# raise ValueError("仅可包含最多10张图片") + +# data = {} +# if image_urls: +# data["files"] = [ +# { +# "type": "image", +# "transfer_method": "remote_url", +# "url": url +# } for url in image_urls +# ] +# else: +# data["files"] = [] + +# # 继续处理其他逻辑 +# all_messages = previous_messages + user_message + +# context = "\n".join( +# f"{msg.role}: {get_content_text(msg.content)}" for msg in all_messages if msg.content +# ) + +# # 构建请求数据 +# data.update({ +# "inputs": { +# "context": context, +# "system_prompt": system_prompt, +# "files": data["files"] +# }, +# "query": get_content_text(query.user_message.content), +# "response_mode": "blocking", +# "conversation_id": "", +# "user": user_name - }) - - async with aiohttp.ClientSession() as session: - try: - async with session.post(api_url + "/chat-messages", headers=headers, json=data) as response: - response_data = await response.json() - response.raise_for_status() - - # 处理响应数据 - content_elements = [llm_entities.ContentElement.from_text(response_data.get("answer", ""))] - - msg = llm_entities.Message( - role="assistant", - content=content_elements - ) - yield msg - except aiohttp.ClientResponseError as http_err: - if response.status == 404: - error_message = "对话不存在" - elif response.status == 400: - error_code = response_data.get("code") - if error_code == "invalid_param": - error_message = "传入参数异常" - elif error_code == "app_unavailable": - error_message = "App 配置不可用" - elif error_code == "provider_not_initialize": - error_message = "无可用模型凭据配置" - elif error_code == "provider_quota_exceeded": - error_message = "模型调用额度不足" - elif error_code == "model_currently_not_support": - error_message = "当前模型不可用" - elif error_code == "completion_request_error": - error_message = "文本生成失败" - elif response.status == 500: - error_message = "服务内部异常" - else: - error_message = f"HTTP error occurred: {http_err}" - raise ValueError(error_message) - except Exception as err: - raise ValueError(f"An error occurred: {err}") - - -@runner.runner_class("local-agent") -class LocalAgentRunner(runner.RequestRunner): - """本地Agent请求运行器 - """ - - async def run(self, query: core_entities.Query) -> typing.AsyncGenerator[llm_entities.Message, None]: - """运行请求 - """ - await query.use_model.requester.preprocess(query) - - pending_tool_calls = [] - - req_messages = query.prompt.messages.copy() + query.messages.copy() + [query.user_message] - - # 首次请求 - try: - msg = await query.use_model.requester.call(query.use_model, req_messages, query.use_funcs) - if "answer" not in msg.content: - raise ValueError("请求失败：返回内容不含answer") - except Exception as e: - err_msg = llm_entities.Message( - role="system", content=f"请求失败：{e}" - ) - yield err_msg - return - - yield msg - - pending_tool_calls = msg.tool_calls - - req_messages.append(msg) - - # 持续请求，只要还有待处理的工具调用就继续处理调用 - while pending_tool_calls: - for tool_call in pending_tool_calls: - try: - func = tool_call.function +# }) + +# async with aiohttp.ClientSession() as session: +# try: +# async with session.post(api_url + "/chat-messages", headers=headers, json=data) as response: +# response_data = await response.json() +# response.raise_for_status() + +# # 处理响应数据 +# content_elements = [llm_entities.ContentElement.from_text(response_data.get("answer", ""))] + +# msg = llm_entities.Message( +# role="assistant", +# content=content_elements +# ) +# yield msg +# except aiohttp.ClientResponseError as http_err: +# if response.status == 404: +# error_message = "对话不存在" +# elif response.status == 400: +# error_code = response_data.get("code") +# if error_code == "invalid_param": +# error_message = "传入参数异常" +# elif error_code == "app_unavailable": +# error_message = "App 配置不可用" +# elif error_code == "provider_not_initialize": +# error_message = "无可用模型凭据配置" +# elif error_code == "provider_quota_exceeded": +# error_message = "模型调用额度不足" +# elif error_code == "model_currently_not_support": +# error_message = "当前模型不可用" +# elif error_code == "completion_request_error": +# error_message = "文本生成失败" +# elif response.status == 500: +# error_message = "服务内部异常" +# else: +# error_message = f"HTTP error occurred: {http_err}" +# raise ValueError(error_message) +# except Exception as err: +# raise ValueError(f"An error occurred: {err}") + + +# # @runner.runner_class("local-agent") +# # class LocalAgentRunner(runner.RequestRunner): +# # """本地Agent请求运行器 +# # """ + +# # async def run(self, query: core_entities.Query) -> typing.AsyncGenerator[llm_entities.Message, None]: +# # """运行请求 +# # """ +# # await query.use_model.requester.preprocess(query) + +# # pending_tool_calls = [] + +# # req_messages = query.prompt.messages.copy() + query.messages.copy() + [query.user_message] + +# # # 首次请求 +# # try: +# # msg = await query.use_model.requester.call(query.use_model, req_messages, query.use_funcs) +# # if "answer" not in msg.content: +# # raise ValueError("请求失败：返回内容不含answer") +# # except Exception as e: +# # err_msg = llm_entities.Message( +# # role="system", content=f"请求失败：{e}" +# # ) +# # yield err_msg +# # return + +# # yield msg + +# # pending_tool_calls = msg.tool_calls + +# # req_messages.append(msg) + +# # # 持续请求，只要还有待处理的工具调用就继续处理调用 +# # while pending_tool_calls: +# # for tool_call in pending_tool_calls: +# # try: +# # func = tool_call.function - parameters = json.loads(func.arguments) +# # parameters = json.loads(func.arguments) - func_ret = await self.ap.tool_mgr.execute_func_call( - query, func.name, parameters - ) +# # func_ret = await self.ap.tool_mgr.execute_func_call( +# # query, func.name, parameters +# # ) - msg = llm_entities.Message( - role="tool", content=json.dumps(func_ret, ensure_ascii=False), tool_call_id=tool_call.id - ) +# # msg = llm_entities.Message( +# # role="tool", content=json.dumps(func_ret, ensure_ascii=False), tool_call_id=tool_call.id +# # ) - yield msg +# # yield msg - req_messages.append(msg) - except Exception as e: - # 工具调用出错，添加一个报错信息到 req_messages - err_msg = llm_entities.Message( - role="tool", content=f"err: {e}", tool_call_id=tool_call.id - ) +# # req_messages.append(msg) +# # except Exception as e: +# # # 工具调用出错，添加一个报错信息到 req_messages +# # err_msg = llm_entities.Message( +# # role="tool", content=f"err: {e}", tool_call_id=tool_call.id +# # ) - yield err_msg +# # yield err_msg - req_messages.append(err_msg) +# # req_messages.append(err_msg) - # 处理完所有调用，再次请求 - try: - msg = await query.use_model.requester.call(query.use_model, req_messages, query.use_funcs) - if "answer" not in msg.content: - raise ValueError("请求失败：返回内容不含answer") - except Exception as e: - err_msg = llm_entities.Message( - role="system", content=f"请求失败：{e}" - ) - yield err_msg - return +# # # 处理完所有调用，再次请求 +# # try: +# # msg = await query.use_model.requester.call(query.use_model, req_messages, query.use_funcs) +# # if "answer" not in msg.content: +# # raise ValueError("请求失败：返回内容不含answer") +# # except Exception as e: +# # err_msg = llm_entities.Message( +# # role="system", content=f"请求失败：{e}" +# # ) +# # yield err_msg +# # return - yield msg +# # yield msg - pending_tool_calls = msg.tool_calls +# # pending_tool_calls = msg.tool_calls - req_messages.append(msg) \ No newline at end of file +# # req_messages.append(msg) \ No newline at end of file diff --git a/pkg/provider/runners/difysvapi.py b/pkg/provider/runners/difysvapi.py new file mode 100644 index 00000000..c3173d6d --- /dev/null +++ b/pkg/provider/runners/difysvapi.py @@ -0,0 +1,144 @@ +from __future__ import annotations + +import typing +import json +import uuid + +from .. import runner +from ...core import entities as core_entities +from .. import entities as llm_entities +from ...utils import image + +from libs.dify_service_api.v1 import client, errors + + +@runner.runner_class("dify-service-api") +class DifyServiceAPIRunner(runner.RequestRunner): + """Dify Service API 对话请求器""" + + dify_client: client.AsyncDifyServiceClient + + async def initialize(self): + """初始化""" + valid_app_types = ['chat', 'workflow'] + if self.ap.provider_cfg.data['dify-service-api']['app-type'] not in valid_app_types: + raise errors.DifyAPIError(f"不支持的 Dify 应用类型: {self.ap.provider_cfg.data['dify-service-api']['app-type']}") + + api_key = self.ap.provider_cfg.data['dify-service-api'][self.ap.provider_cfg.data['dify-service-api']['app-type']]['api-key'] + + self.dify_client = client.AsyncDifyServiceClient( + api_key=api_key, + base_url=self.ap.provider_cfg.data['dify-service-api']['base-url'] + ) + + async def _preprocess_user_message(self, query: core_entities.Query) -> tuple[str, list[str]]: + """预处理用户消息，提取纯文本，并将图片上传到 Dify 服务 + + Returns: + tuple[str, list[str]]: 纯文本和图片的 Dify 服务图片 ID + """ + plain_text = '' + image_ids = [] + if isinstance(query.user_message.content, list): + for ce in query.user_message.content: + if ce.type == 'text': + plain_text += ce.text + elif ce.type == 'image_url': + file_bytes, image_format = await image.get_qq_image_bytes(ce.image_url.url) + file = ("img.png", file_bytes, f"image/{image_format}") + file_upload_resp = await self.dify_client.upload_file(file, f"{query.session.launcher_type.value}_{query.session.launcher_id}") + image_id = file_upload_resp['id'] + image_ids.append(image_id) + elif isinstance(query.user_message.content, str): + plain_text = query.user_message.content + + return plain_text, image_ids + + async def _chat_messages(self, query: core_entities.Query) -> typing.AsyncGenerator[llm_entities.Message, None]: + """调用聊天助手""" + cov_id = query.session.using_conversation.uuid or "" + + plain_text, image_ids = await self._preprocess_user_message(query) + + files = [{ + 'type': 'image', + 'transfer_method': 'local_file', + 'upload_file_id': image_id, + } for image_id in image_ids] + + 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) + + msg = llm_entities.Message( + role='assistant', + content=resp['answer'], + ) + + yield msg + + query.session.using_conversation.uuid = resp['conversation_id'] + + async def _workflow_messages(self, query: core_entities.Query) -> typing.AsyncGenerator[llm_entities.Message, None]: + """调用工作流""" + + if not query.session.using_conversation.uuid: + query.session.using_conversation.uuid = str(uuid.uuid4()) + + cov_id = query.session.using_conversation.uuid + + plain_text, image_ids = await self._preprocess_user_message(query) + + files = [{ + 'type': 'image', + 'transfer_method': 'local_file', + 'upload_file_id': image_id, + } for image_id in image_ids] + + ignored_events = ['text_chunk', 'workflow_started'] + + async for chunk in self.dify_client.workflow_run(inputs={ + "langbot_user_message_text": plain_text, + "langbot_session_id": f"{query.session.launcher_type.value}_{query.session.launcher_id}", + "langbot_conversation_id": cov_id, + }, user=f"{query.session.launcher_type.value}_{query.session.launcher_id}", files=files): + if chunk['event'] in ignored_events: + continue + + if chunk['event'] == 'node_started': + + if chunk['data']['node_type'] == 'start' or chunk['data']['node_type'] == 'end': + continue + + msg = llm_entities.Message( + role='assistant', + content=None, + tool_calls=[llm_entities.ToolCall( + id=chunk['data']['node_id'], + type='function', + function=llm_entities.FunctionCall( + name=chunk['data']['title'], + arguments=json.dumps({}), + ), + )], + ) + + yield msg + + elif chunk['event'] == 'workflow_finished': + + msg = llm_entities.Message( + role='assistant', + content=chunk['data']['outputs'][self.ap.provider_cfg.data['dify-service-api']['workflow']['output-key']], + ) + + yield msg + + async def run(self, query: core_entities.Query) -> typing.AsyncGenerator[llm_entities.Message, None]: + """运行请求""" + if self.ap.provider_cfg.data['dify-service-api']['app-type'] == 'chat': + async for msg in self._chat_messages(query): + yield msg + elif self.ap.provider_cfg.data['dify-service-api']['app-type'] == 'workflow': + async for msg in self._workflow_messages(query): + yield msg + else: + raise errors.DifyAPIError(f"不支持的 Dify 应用类型: {self.ap.provider_cfg.data['dify-service-api']['app-type']}") diff --git a/pkg/utils/image.py b/pkg/utils/image.py index 539337da..dc13802b 100644 --- a/pkg/utils/image.py +++ b/pkg/utils/image.py @@ -6,6 +6,31 @@ import aiohttp +def get_qq_image_downloadable_url(image_url: str) -> tuple[str, dict]: + """获取QQ图片的下载链接""" + parsed = urlparse(image_url) + query = parse_qs(parsed.query) + return f"http://{parsed.netloc}{parsed.path}", query + + +async def get_qq_image_bytes(image_url: str) -> tuple[bytes, str]: + """获取QQ图片的bytes""" + image_url, query = get_qq_image_downloadable_url(image_url) + ssl_context = ssl.create_default_context() + ssl_context.check_hostname = False + ssl_context.verify_mode = ssl.CERT_NONE + async with aiohttp.ClientSession(trust_env=False) as session: + async with session.get(image_url, params=query, ssl=ssl_context) as resp: + resp.raise_for_status() + file_bytes = await resp.read() + content_type = resp.headers.get('Content-Type') + if not content_type or not content_type.startswith('image/'): + image_format = 'jpeg' + else: + image_format = content_type.split('/')[-1] + return file_bytes, image_format + + async def qq_image_url_to_base64( image_url: str ) -> typing.Tuple[str, str]: @@ -17,29 +42,12 @@ async def qq_image_url_to_base64( Returns: typing.Tuple[str, str]: base64编码和图片格式 """ - parsed = urlparse(image_url) - query = parse_qs(parsed.query) + image_url, query = get_qq_image_downloadable_url(image_url) # Flatten the query dictionary query = {k: v[0] for k, v in query.items()} - ssl_context = ssl.create_default_context() - ssl_context.check_hostname = False - ssl_context.verify_mode = ssl.CERT_NONE - - async with aiohttp.ClientSession(trust_env=False) as session: - async with session.get( - f"http://{parsed.netloc}{parsed.path}", - params=query, - ssl=ssl_context - ) as resp: - resp.raise_for_status() # 检查HTTP错误 - file_bytes = await resp.read() - content_type = resp.headers.get('Content-Type') - if not content_type or not content_type.startswith('image/'): - image_format = 'jpeg' - else: - image_format = content_type.split('/')[-1] + file_bytes, image_format = await get_qq_image_bytes(image_url) base64_str = base64.b64encode(file_bytes).decode() diff --git a/templates/provider.json b/templates/provider.json index ba5cea42..33b9f596 100644 --- a/templates/provider.json +++ b/templates/provider.json @@ -57,5 +57,16 @@ "prompt": { "default": "" }, - "runner": "local-agent" + "runner": "local-agent", + "dify-service-api": { + "base-url": "https://api.dify.ai/v1", + "app-type": "workflow", + "chat": { + "api-key": "app-1234567890" + }, + "workflow": { + "api-key": "app-1234567890", + "output-key": "summary" + } + } } \ No newline at end of file diff --git a/templates/schema/provider.json b/templates/schema/provider.json index e1d50246..b9467962 100644 --- a/templates/schema/provider.json +++ b/templates/schema/provider.json @@ -230,6 +230,51 @@ "title": "请求运行器", "description": "设置请求运行器。值为local-agent时，使用内置默认运行器；支持插件扩展", "default": "local-agent" + }, + "dify-service-api": { + "type": "object", + "title": "Dify Service API 配置", + "properties": { + "base-url": { + "type": "string", + "title": "API URL", + "description": "Dify Service API 的 基础URL，可以在 Dify 应用 API 页面查看", + "default": "https://api.dify.ai/v1" + }, + "app-type": { + "type": "string", + "title": "应用类型", + "description": "支持 chat 和 workflow，chat：聊天助手（含高级编排）和 Agent；workflow：工作流；请填写下方对应的应用类型 API 参数", + "enum": ["chat", "workflow"], + "default": "chat" + }, + "chat": { + "type": "object", + "title": "聊天助手 API 参数", + "properties": { + "api-key": { + "type": "string", + "title": "API 密钥" + } + } + }, + "workflow": { + "type": "object", + "title": "工作流 API 参数", + "properties": { + "api-key": { + "type": "string", + "title": "API 密钥" + }, + "output-key": { + "type": "string", + "title": "工作流输出键", + "description": "设置工作流输出键，用于从 Dify Workflow 结束节点返回的 JSON 数据中提取输出内容", + "default": "summary" + } + } + } + } } } } \ No newline at end of file