From e9eace980a8ea30415f9dcb44f75f4947253a469 Mon Sep 17 00:00:00 2001 From: scone Date: Sun, 1 Jun 2025 23:26:38 +0900 Subject: [PATCH 01/14] refactor: run black&flake for ci test --- agents/text/modules/chains.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/agents/text/modules/chains.py b/agents/text/modules/chains.py index 3da7ac6..5fe7399 100644 --- a/agents/text/modules/chains.py +++ b/agents/text/modules/chains.py @@ -5,12 +5,11 @@ """ -from langchain.schema.runnable import RunnablePassthrough, RunnableSerializable -from langchain_core.output_parsers import StrOutputParser - from agents.text.modules.models import get_openai_model from agents.text.modules.persona import PERSONA from agents.text.modules.prompts import get_extraction_prompt, get_instagram_text_prompt +from langchain.schema.runnable import RunnablePassthrough, RunnableSerializable +from langchain_core.output_parsers import StrOutputParser def set_extraction_chain() -> RunnableSerializable: From 52e54af233da9dc222f9d0ce6af37de85d1e9467 Mon Sep 17 00:00:00 2001 From: scone Date: Sun, 1 Jun 2025 23:28:51 +0900 Subject: [PATCH 02/14] refactor: sort modules for isort test --- agents/text/modules/chains.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/agents/text/modules/chains.py b/agents/text/modules/chains.py index 5fe7399..3da7ac6 100644 --- a/agents/text/modules/chains.py +++ b/agents/text/modules/chains.py @@ -5,11 +5,12 @@ """ +from langchain.schema.runnable import RunnablePassthrough, RunnableSerializable +from langchain_core.output_parsers import StrOutputParser + from agents.text.modules.models import get_openai_model from agents.text.modules.persona import PERSONA from agents.text.modules.prompts import get_extraction_prompt, get_instagram_text_prompt -from langchain.schema.runnable import RunnablePassthrough, RunnableSerializable -from langchain_core.output_parsers import StrOutputParser def set_extraction_chain() -> RunnableSerializable: From 90840b35051bedbf3f2d024dbbc25280d80e6f22 Mon Sep 17 00:00:00 2001 From: Gamchan Kang Date: Fri, 25 Apr 2025 23:41:52 +0900 Subject: [PATCH 03/14] =?UTF-8?q?chore:=20MCP=20=EC=84=9C=EB=B2=84?= =?UTF-8?q?=EB=A5=BC=20=EC=9C=84=ED=95=9C=20=EC=84=A4=EC=A0=95?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .env.example | 4 +- agents/text/mcp/mcp_config.yml | 7 + agents/text/pyproject.toml | 3 + uv.lock | 1839 ++++++++++++++++++++++++++++++++ 4 files changed, 1852 insertions(+), 1 deletion(-) create mode 100644 agents/text/mcp/mcp_config.yml create mode 100644 uv.lock diff --git a/.env.example b/.env.example index 00d31fc..c0847c7 100644 --- a/.env.example +++ b/.env.example @@ -14,4 +14,6 @@ LANGSMITH_API_KEY=lsv2.... # LangSmith API key (must be replaced with real key) # You can get it from the OpenAI website (https://platform.openai.com/). OPENAI_API_KEY=sk... -# Others... \ No newline at end of file +# News API Key - required to use the news API. +# You can get it from the News API website (https://newsapi.org/). +NEWS_API_KEY=... diff --git a/agents/text/mcp/mcp_config.yml b/agents/text/mcp/mcp_config.yml new file mode 100644 index 0000000..6a9a70c --- /dev/null +++ b/agents/text/mcp/mcp_config.yml @@ -0,0 +1,7 @@ +# 임시 세팅입니다. + +news: + host: 0.0.0.0 + port: 8005 + url: http://localhost + transport: stdio diff --git a/agents/text/pyproject.toml b/agents/text/pyproject.toml index 4895612..db1e5cd 100644 --- a/agents/text/pyproject.toml +++ b/agents/text/pyproject.toml @@ -10,5 +10,8 @@ description = "텍스트 기반 콘텐츠 생성을 위한 LangGraph Workflow readme = "README.md" requires-python = ">=3.13" dependencies = [ + "langchain-mcp-adapters>=0.0.9", "langchain-openai>=0.3.12", + "mcp>=1.6.0", + "newsapi-python>=0.2.7", ] diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..7aa8499 --- /dev/null +++ b/uv.lock @@ -0,0 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2025 23:45:46 +0900 Subject: [PATCH 04/14] =?UTF-8?q?feat:=20MCP=20config=20=EB=A1=9C=EB=8D=94?= =?UTF-8?q?=20=EC=B6=94=EA=B0=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- agents/text/mcp/mcp_config_loader.py | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) create mode 100644 agents/text/mcp/mcp_config_loader.py diff --git a/agents/text/mcp/mcp_config_loader.py b/agents/text/mcp/mcp_config_loader.py new file mode 100644 index 0000000..3d81fa6 --- /dev/null +++ b/agents/text/mcp/mcp_config_loader.py @@ -0,0 +1,22 @@ +from typing import TypedDict + +from yaml import safe_load + + +class McpConfig(TypedDict): + news_host: str + news_port: int + news_url: str + news_transport: str + + def __init__(self, config_path: str = "mcp_config.yml"): + with open(config_path, "r") as f: + config = safe_load(f) + + self.news_host = config["news"]["host"] + self.news_port = config["news"]["port"] + self.news_url = config["news"]["url"] + self.news_transport = config["news"]["transport"] + + +mcp_config = McpConfig() From 4e98b562c313fbab09ced388023cfe155c8f1a4f Mon Sep 17 00:00:00 2001 From: Gamchan Kang Date: Fri, 25 Apr 2025 23:49:51 +0900 Subject: [PATCH 05/14] =?UTF-8?q?fix:=20mcp=5Fconfig.yml=20=EA=B2=BD?= =?UTF-8?q?=EB=A1=9C=20=EC=88=98=EC=A0=95?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- agents/text/mcp/mcp_config_loader.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/agents/text/mcp/mcp_config_loader.py b/agents/text/mcp/mcp_config_loader.py index 3d81fa6..232b0c3 100644 --- a/agents/text/mcp/mcp_config_loader.py +++ b/agents/text/mcp/mcp_config_loader.py @@ -9,7 +9,7 @@ class McpConfig(TypedDict): news_url: str news_transport: str - def __init__(self, config_path: str = "mcp_config.yml"): + def __init__(self, config_path: str = "./agents/text/mcp/mcp_config.yml"): with open(config_path, "r") as f: config = safe_load(f) From 85f2f4219083ce2a97ce18c1782f82283e12af2a Mon Sep 17 00:00:00 2001 From: Gamchan Kang Date: Mon, 9 Jun 2025 09:02:50 +0900 Subject: [PATCH 06/14] WIP: attach news mcp server --- agents/text/mcp/__init__.py | 0 agents/text/mcp/mcp_client.py | 40 ++++++++++++++++++++++ agents/text/mcp/mcp_config.yml | 8 ++--- agents/text/mcp/mcp_config_loader.py | 26 ++++++++++----- agents/text/mcp/mcp_news_server.py | 48 ++++++++++++++++++++++++++ agents/text/modules/chains.py | 45 +++++++++++++++++++++++-- agents/text/modules/nodes.py | 29 +++++++++++++++- agents/text/modules/prompts.py | 50 ++++++++++++++++++++++++++++ agents/text/modules/state.py | 11 +++--- agents/text/workflow.py | 12 +++++-- langgraph.json | 2 +- uv.lock | 6 ++++ 12 files changed, 253 insertions(+), 24 deletions(-) create mode 100644 agents/text/mcp/__init__.py create mode 100644 agents/text/mcp/mcp_client.py create mode 100644 agents/text/mcp/mcp_news_server.py diff --git a/agents/text/mcp/__init__.py b/agents/text/mcp/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/agents/text/mcp/mcp_client.py b/agents/text/mcp/mcp_client.py new file mode 100644 index 0000000..d972b8e --- /dev/null +++ b/agents/text/mcp/mcp_client.py @@ -0,0 +1,40 @@ +import os + +from langchain_mcp_adapters.tools import load_mcp_tools +from langgraph.prebuilt import create_react_agent +from mcp import ClientSession, StdioServerParameters +from mcp.client.stdio import stdio_client + +from agents.text.modules.models import get_openai_model + + +async def scrape_news(scraping_query: str) -> str: + """ + 비동기적으로 뉴스 스크래핑 MCP 서버에 요청을 보내고, 응답을 반환합니다. + """ + + server_params = StdioServerParameters( + command="uv", + args=["--directory", "agents/text/mcp/", "run", "mcp_news_server.py"], + env=os.environ, + ) + + async with stdio_client(server=server_params) as (read, write): + async with ClientSession(read, write) as session: + await session.initialize() + + tools = await load_mcp_tools(session) + print("사용 가능한 도구:", tools) + + graph = create_react_agent(model=get_openai_model(), tools=tools) + + response = await graph.ainvoke({"messages": scraping_query}) + + if "messages" in response: + messages = response["messages"] + for message in messages: + if hasattr(message, "content") and message.content: + last_content = message.content + break + + return last_content diff --git a/agents/text/mcp/mcp_config.yml b/agents/text/mcp/mcp_config.yml index 6a9a70c..1af0a8c 100644 --- a/agents/text/mcp/mcp_config.yml +++ b/agents/text/mcp/mcp_config.yml @@ -1,7 +1,7 @@ # 임시 세팅입니다. news: - host: 0.0.0.0 - port: 8005 - url: http://localhost - transport: stdio + host: "localhost" + port: 8000 + url: "http://localhost:8000" + transport: "stdio" diff --git a/agents/text/mcp/mcp_config_loader.py b/agents/text/mcp/mcp_config_loader.py index 232b0c3..53077e4 100644 --- a/agents/text/mcp/mcp_config_loader.py +++ b/agents/text/mcp/mcp_config_loader.py @@ -1,22 +1,32 @@ -from typing import TypedDict +import os +from dataclasses import dataclass from yaml import safe_load -class McpConfig(TypedDict): +@dataclass +class McpConfig: news_host: str news_port: int news_url: str news_transport: str - def __init__(self, config_path: str = "./agents/text/mcp/mcp_config.yml"): + @classmethod + def from_yaml(cls, config_path: str = "mcp_config.yml") -> "McpConfig": + # Get the directory containing this file + current_dir = os.path.dirname(os.path.abspath(__file__)) + # Construct absolute path to config file + config_path = os.path.join(current_dir, config_path) + with open(config_path, "r") as f: config = safe_load(f) - self.news_host = config["news"]["host"] - self.news_port = config["news"]["port"] - self.news_url = config["news"]["url"] - self.news_transport = config["news"]["transport"] + return cls( + news_host=config["news"]["host"], + news_port=config["news"]["port"], + news_url=config["news"]["url"], + news_transport=config["news"]["transport"], + ) -mcp_config = McpConfig() +mcp_config = McpConfig.from_yaml() diff --git a/agents/text/mcp/mcp_news_server.py b/agents/text/mcp/mcp_news_server.py new file mode 100644 index 0000000..50f2cc5 --- /dev/null +++ b/agents/text/mcp/mcp_news_server.py @@ -0,0 +1,48 @@ +import os +from datetime import date, timedelta + +from mcp.server.fastmcp import FastMCP +from newsapi import NewsApiClient + +from agents.text.mcp.mcp_config_loader import mcp_config + +news_mcp = FastMCP( + name="news", + instructions=( + "Act as a news-scraping assistant that, given today's date, finds today's news for Instagram text content." + ), + host=mcp_config.news_host, + port=mcp_config.news_port, +) + +news_api = NewsApiClient(api_key=os.getenv("NEWS_API_KEY")) + + +@news_mcp.tool() +async def find_news(keywords: str) -> list[dict]: + """ + 키워드를 기반으로 뉴스 기사를 찾습니다. + + Args: + keywords (str): 검색할 뉴스 기사 키워드 + + Returns: + list[dict]: 뉴스 기사 목록 (최대 5개) + """ + from_date = (date.today() - timedelta(days=7)).isoformat() # 7일 전까지만 기사 검색 + + news: list[dict] = news_api.get_everything( + q=keywords, + from_param=from_date, + sort_by="popularity", # 인기도 순으로 정렬 + )["articles"] + + return news[:5] # 상위 5개 기사만 반환 + + +if __name__ == "__main__": + print( + f"news MCP server is running on {mcp_config.news_host}:{mcp_config.news_port}" + ) + + news_mcp.run(transport=mcp_config.news_transport) diff --git a/agents/text/modules/chains.py b/agents/text/modules/chains.py index 3da7ac6..a40ed4d 100644 --- a/agents/text/modules/chains.py +++ b/agents/text/modules/chains.py @@ -5,12 +5,22 @@ """ -from langchain.schema.runnable import RunnablePassthrough, RunnableSerializable from langchain_core.output_parsers import StrOutputParser +from langchain_core.runnables import ( + RunnableLambda, + RunnablePassthrough, + RunnableSerializable, +) +from agents.text.mcp.mcp_client import scrape_news from agents.text.modules.models import get_openai_model from agents.text.modules.persona import PERSONA -from agents.text.modules.prompts import get_extraction_prompt, get_instagram_text_prompt +from agents.text.modules.prompts import ( + get_extraction_prompt, + get_instagram_text_prompt, + get_news_scraping_query_prompt, + get_topic_from_news_prompt, +) def set_extraction_chain() -> RunnableSerializable: @@ -49,6 +59,37 @@ def set_extraction_chain() -> RunnableSerializable: ) +def set_topic_generation_news_chain() -> RunnableSerializable: + """ + 뉴스로부터 텍스트 콘텐츠 주제를 추출하는 LangChain 체인을 생성합니다. + """ + news_scraping_query_prompt = get_news_scraping_query_prompt() + model = get_openai_model() + + # 문자열 입력을 딕셔너리로 변환 + input_transformer = RunnableLambda(lambda x: {"query": x}) + + news_scraping_query_chain = ( + input_transformer + | RunnablePassthrough.assign(persona_details=lambda x: PERSONA) + | news_scraping_query_prompt + | model + | StrOutputParser() # 결과를 문자열로 변환 + ) + + return ( + news_scraping_query_chain + | RunnableLambda(scrape_news) # 비동기 함수를 그대로 사용 + | RunnablePassthrough.assign( + news_article=lambda x: x, + persona_details=lambda x: PERSONA, + ) + | get_topic_from_news_prompt() + | model + | StrOutputParser() + ) + + def set_instagram_text_chain() -> RunnableSerializable: """ 인스타그램 텍스트 생성에 사용할 LangChain 체인을 생성합니다. diff --git a/agents/text/modules/nodes.py b/agents/text/modules/nodes.py index f093715..98d9bcd 100644 --- a/agents/text/modules/nodes.py +++ b/agents/text/modules/nodes.py @@ -4,8 +4,14 @@ 해당 클래스 모듈은 각각 노드 클래스가 BaseNode를 상속받아 노드 클래스를 구현하는 모듈입니다. """ +import asyncio + from agents.base_node import BaseNode -from agents.text.modules.chains import set_extraction_chain, set_instagram_text_chain +from agents.text.modules.chains import ( + set_extraction_chain, + set_instagram_text_chain, + set_topic_generation_news_chain, +) from agents.text.modules.persona import PERSONA from agents.text.modules.state import TextState @@ -62,3 +68,24 @@ def execute(self, state: TextState) -> dict: return { "instagram_text": instagram_text, } + + +class TopicFromNewsNode(BaseNode): + """ + 주어진 키워드에 대한 뉴스 기사를 스크래핑하는 노드 + """ + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self.chain = set_topic_generation_news_chain() + + def execute(self, state: TextState) -> dict: + """ + 주어진 키워드에 대한 뉴스 기사를 스크래핑하고, 결과를 응답으로 반환합니다. + """ + try: + result = asyncio.run(self.chain.ainvoke(state["content_topic"])) + state["news"] = result + return {"response": result} + except Exception as e: + return {"response": f"뉴스 검색 중 오류가 발생했습니다: {str(e)}"} diff --git a/agents/text/modules/prompts.py b/agents/text/modules/prompts.py index e771d9a..9ff22a7 100644 --- a/agents/text/modules/prompts.py +++ b/agents/text/modules/prompts.py @@ -98,3 +98,53 @@ def get_instagram_text_prompt(): "persona_extracted", ], ) + + +def get_news_scraping_query_prompt() -> PromptTemplate: + """ + 뉴스 스크래핑을 위한 프롬프트 템플릿을 생성합니다. + """ + prompt_template = """You are an assistant responsible for generating search queries for retrieving news articles. +You have to generate search query that aligns with given persona: {persona_details} + +Your tasks: +- To read a given persona outlining the user’s interests and, based on that persona. +- produce a concise and precise news search keyword focused on a specific topic, event, or domain that aligns with +those interests. + +Rules: +- The keyword must be short and clear. +- It must target a topic, event, or domain suitable for news search. +- Output only the search query—no extra text. + +search query: """ + + return PromptTemplate( + template=prompt_template, + input_variables=["persona_details"], + ) + + +def get_topic_from_news_prompt(): + """ + 뉴스로부터 인스타그램 포스트 주제를 추출하는 프롬프트를 생성합니다. + """ + prompt_template = """ +You are an assistant responsible for extracting a concise and engaging topic from a given news article. +You have to generate a topic that is relevant to the news article and is suitable for an instagram post. +Also topic must be aligned with given persona. + +Rules: +- The topic must be short and clear. +- It must be relevant to the news article. +- Output only the topic—no extra text. + +news article: {news_article} +persona: {persona_details} + +topic: """ + + return PromptTemplate( + template=prompt_template, + input_variables=["news_article", "persona_details"], + ) diff --git a/agents/text/modules/state.py b/agents/text/modules/state.py index 456d245..69851ae 100644 --- a/agents/text/modules/state.py +++ b/agents/text/modules/state.py @@ -1,7 +1,7 @@ from __future__ import annotations from dataclasses import dataclass -from typing import Annotated, TypedDict +from typing import Annotated, Optional, TypedDict from langgraph.graph.message import add_messages @@ -18,8 +18,9 @@ class TextState(TypedDict): content_topic: str # 콘텐츠의 주제 (예: "여름 휴가", "음식 리뷰") content_type: str # 콘텐츠의 유형 (예: "블로그 글", "소셜 미디어 포스트") query: str # 사용자 쿼리 또는 요청사항 - persona_extracted: str # 추출된 페르소나 전문 + persona_extracted: Optional[str] = None # 추출된 페르소나 전문 + news: Optional[str] = None # 뉴스 기사 instagram_text: str # 생성된 인스타그램 텍스트 - response: Annotated[ - list, add_messages - ] # 응답 메시지 목록 (add_messages로 주석되어 메시지 추가 기능 제공) + response: Optional[Annotated[list, add_messages]] = ( + None # 응답 메시지 목록 (add_messages로 주석되어 메시지 추가 기능 제공) + ) diff --git a/agents/text/workflow.py b/agents/text/workflow.py index e29eb81..783efc4 100644 --- a/agents/text/workflow.py +++ b/agents/text/workflow.py @@ -1,7 +1,11 @@ from langgraph.graph import StateGraph from agents.base_workflow import BaseWorkflow -from agents.text.modules.nodes import GenTextNode, PersonaExtractionNode +from agents.text.modules.nodes import ( + GenTextNode, + PersonaExtractionNode, + TopicFromNewsNode, +) from agents.text.modules.state import TextState @@ -29,14 +33,16 @@ def build(self): CompiledStateGraph: 컴파일된 상태 그래프 객체 """ builder = StateGraph(self.state) - # 페르소나 추출 노드 추가 + + builder.add_node("topic_from_news", TopicFromNewsNode()) builder.add_node("persona_extraction", PersonaExtractionNode()) # 텍스트 생성 노드 추가 builder.add_node("text_generation", GenTextNode()) # 시작 노드에서 페르소나 추출 노드로 연결 - builder.add_edge("__start__", "persona_extraction") + builder.add_edge("__start__", "topic_from_news") + builder.add_edge("topic_from_news", "persona_extraction") # 페르소나 추출 노드에서 텍스트 생성 노드로 연결 builder.add_edge("persona_extraction", "text_generation") # 텍스트 생성 노드에서 종료 노드로 연결 diff --git a/langgraph.json b/langgraph.json index 4adc9e4..eb0507b 100644 --- a/langgraph.json +++ b/langgraph.json @@ -8,4 +8,4 @@ "management": "./agents/management/workflow.py:management_workflow" }, "env": ".env" -} \ No newline at end of file +} diff --git a/uv.lock b/uv.lock index 7aa8499..5b34940 100644 --- a/uv.lock +++ b/uv.lock @@ -5,6 +5,7 @@ requires-python = ">=3.13" [manifest] members = [ "image", + "management", "music", "pseudo-entertainment", "text", @@ -856,6 +857,11 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/64/c3/5db3d0977bb53e16eab834f2eea6e1c68d327e2f5c25b88f6506ef06e692/langsmith-0.3.31-py3-none-any.whl", hash = "sha256:ee780ae3eac69998c336817c0b9f5ccfecaaaa3e67d94b7ef726b58ab3e72a25", size = 358251 }, ] +[[package]] +name = "management" +version = "0.1.0" +source = { virtual = "agents/management" } + [[package]] name = "marshmallow" version = "3.26.1" From 2232d70e04821b1aa6df11f8466ec3b4feddeb8f Mon Sep 17 00:00:00 2001 From: Gamchan Kang Date: Mon, 9 Jun 2025 22:22:10 +0900 Subject: [PATCH 07/14] Fix: change import statement in mcp_news_server.py - resolve merge conflict --- agents/text/mcp/mcp_news_server.py | 3 +-- agents/text/modules/chains.py | 8 +++----- agents/text/modules/state.py | 2 +- 3 files changed, 5 insertions(+), 8 deletions(-) diff --git a/agents/text/mcp/mcp_news_server.py b/agents/text/mcp/mcp_news_server.py index 50f2cc5..2f0d4bf 100644 --- a/agents/text/mcp/mcp_news_server.py +++ b/agents/text/mcp/mcp_news_server.py @@ -2,10 +2,9 @@ from datetime import date, timedelta from mcp.server.fastmcp import FastMCP +from mcp_config_loader import mcp_config from newsapi import NewsApiClient -from agents.text.mcp.mcp_config_loader import mcp_config - news_mcp = FastMCP( name="news", instructions=( diff --git a/agents/text/modules/chains.py b/agents/text/modules/chains.py index a40ed4d..803029d 100644 --- a/agents/text/modules/chains.py +++ b/agents/text/modules/chains.py @@ -79,11 +79,9 @@ def set_topic_generation_news_chain() -> RunnableSerializable: return ( news_scraping_query_chain - | RunnableLambda(scrape_news) # 비동기 함수를 그대로 사용 - | RunnablePassthrough.assign( - news_article=lambda x: x, - persona_details=lambda x: PERSONA, - ) + | RunnableLambda(scrape_news) + | RunnableLambda(lambda x: {"news_article": x}) # 반환값을 딕셔너리로 변환 + | RunnablePassthrough.assign(persona_details=lambda x: PERSONA) | get_topic_from_news_prompt() | model | StrOutputParser() diff --git a/agents/text/modules/state.py b/agents/text/modules/state.py index 69851ae..9d5ed75 100644 --- a/agents/text/modules/state.py +++ b/agents/text/modules/state.py @@ -20,7 +20,7 @@ class TextState(TypedDict): query: str # 사용자 쿼리 또는 요청사항 persona_extracted: Optional[str] = None # 추출된 페르소나 전문 news: Optional[str] = None # 뉴스 기사 - instagram_text: str # 생성된 인스타그램 텍스트 + instagram_text: Optional[str] = None # 생성된 인스타그램 텍스트 response: Optional[Annotated[list, add_messages]] = ( None # 응답 메시지 목록 (add_messages로 주석되어 메시지 추가 기능 제공) ) From b191f618ff764d4850dcaa89579956478c3b2196 Mon Sep 17 00:00:00 2001 From: Gamchan Kang Date: Wed, 25 Jun 2025 20:10:12 +0900 Subject: [PATCH 08/14] feat: safely load env variables and improve port-based process termination logic, apply LangGraph port --- agents/text/text_agent.sh | 50 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 50 insertions(+) create mode 100755 agents/text/text_agent.sh diff --git a/agents/text/text_agent.sh b/agents/text/text_agent.sh new file mode 100755 index 0000000..7cd96e9 --- /dev/null +++ b/agents/text/text_agent.sh @@ -0,0 +1,50 @@ +#!/bin/bash +# 텍스트 모듈 의존성 설치 +uv sync --package text + +# .env, agents/text/.env 파일에서 환경변수 불러오기 (주석/빈줄/이상한 줄 제외) +set -a +source <(grep -E '^[A-Za-z_][A-Za-z0-9_]*=' .env) +source <(grep -E '^[A-Za-z_][A-Za-z0-9_]*=' agents/text/.env) +set +a + +# 포트 사용 중인 프로세스 종료 함수 (동의 받기) +kill_port() { + local PORT=$1 + if ! [[ "$PORT" =~ ^[0-9]+$ ]]; then + return + fi + local PID + PID=$(lsof -ti tcp:"$PORT") + if [ -n "$PID" ]; then + echo "포트 $PORT를 사용 중인 프로세스(PID: $PID)가 있습니다." + echo -n "종료하시겠습니까? (y/N): " + read answer + case "$answer" in + [yY]|[yY][eE][sS]) + kill -9 $PID + echo "프로세스(PID: $PID)를 종료했습니다." + ;; + *) + echo "프로세스 종료를 건너뜁니다." + ;; + esac + fi +} + +# MCP로 시작하고 PORT로 끝나는 모든 환경변수의 포트에 대해 프로세스 종료 +MCP_PORT_VARS=($(env | grep '^MCP.*PORT=' | cut -d= -f1)) +for var in "${MCP_PORT_VARS[@]}"; do + kill_port "${!var}" +done + +# LANGGRAPH_PORT에 해당하는 프로세스 종료 +kill_port "$LANGGRAPH_PORT" + +# 뉴스 MCP 서버 실행 +uv run agents/text/mcp/mcp_news_server.py & + +# LangGraph 서버 실행 +uv run langgraph dev --port "$LANGGRAPH_PORT" & + +wait \ No newline at end of file From dd38a9ad28aa7506b8646c6cdea259173c559000 Mon Sep 17 00:00:00 2001 From: Gamchan Kang Date: Wed, 25 Jun 2025 20:11:44 +0900 Subject: [PATCH 09/14] chore: add mcp news server for example - create shell script for text agent --- .env.example | 11 ++++++--- agents/text/.env.sample | 4 ++++ agents/text/README.md | 35 +++++++++++++++++++++++++--- agents/text/mcp/mcp_config.yml | 7 ------ agents/text/mcp/mcp_config_loader.py | 32 ------------------------- agents/text/mcp/mcp_news_server.py | 19 ++++++++------- agents/text/modules/chains.py | 4 ++-- agents/text/modules/prompts.py | 18 ++++---------- agents/text/pyproject.toml | 5 +++- 9 files changed, 65 insertions(+), 70 deletions(-) create mode 100644 agents/text/.env.sample delete mode 100644 agents/text/mcp/mcp_config.yml delete mode 100644 agents/text/mcp/mcp_config_loader.py diff --git a/.env.example b/.env.example index c0847c7..37f06fa 100644 --- a/.env.example +++ b/.env.example @@ -6,14 +6,19 @@ # LangSmith is a tool for monitoring and debugging LANGSMITH_PROJECT=pseudo-entertainment-company # Project name to be used by LangSmith. LANGSMITH_API_KEY=lsv2.... # LangSmith API key (must be replaced with real key) +LANGGRAPH_PORT=2024 -# Depending on the configuration you choose, you will need the following environment variables. - -## LLM API Keys: +# LLM API Keys: # OpenAI API Key - required to use the GPT model. # You can get it from the OpenAI website (https://platform.openai.com/). OPENAI_API_KEY=sk... +# Google API Key (예시에는 없지만, 필요하다면 주석 추가) +GOOGLE_API_KEY=... + +# Upstage API Key (예시에는 없지만, 필요하다면 주석 추가) +UPSTAGE_API_KEY=... + # News API Key - required to use the news API. # You can get it from the News API website (https://newsapi.org/). NEWS_API_KEY=... diff --git a/agents/text/.env.sample b/agents/text/.env.sample new file mode 100644 index 0000000..38584ab --- /dev/null +++ b/agents/text/.env.sample @@ -0,0 +1,4 @@ +# MCP 서버 +MCP_NEWS_HOST=0.0.0.0 +MCP_NEWS_PORT=8100 +MCP_NEWS_TRANSPORT=stdio \ No newline at end of file diff --git a/agents/text/README.md b/agents/text/README.md index a3c248b..6c8a7fb 100644 --- a/agents/text/README.md +++ b/agents/text/README.md @@ -2,11 +2,13 @@ ## 개요 -이 모듈은 Pseudo Entertainment Company의 텍스트 기반 콘텐츠 생성을 담당하는 LangGraph Workflow입니다. 다양한 유형의 텍스트 콘텐츠를 생성하기 위한 주요 노드와 Workflow를 제공합니다. +이 모듈은 Act 1: Entertainment의 텍스트 기반 콘텐츠 생성을 담당하는 LangGraph Workflow입니다. 다양한 유형의 텍스트 콘텐츠를 생성하기 위한 주요 노드와 Workflow를 제공합니다. ## 주요 노드 - +- `PersonaExtractionNode`: 콘텐츠 종류에 적합한 페르소나를 추출하는 노드 +- `GenTextNode`: 추출된 페르소나를 바탕으로 인스타그램 포스트에 적합한 텍스트를 생성하는 노드 +- `TopicFromNewsNode`: 주어진 키워드에 대한 뉴스 기사를 스크래핑하는 노드 ## 구조 @@ -26,6 +28,33 @@ text/ └── workflow.py # Text Agent의 Workflow들 정의 ``` +## 실행 방법 + +1. `langgraph.json` 파일을 Text Agent에 맞춰 설정해주세요. + +```json +{ + "dependencies": ["./agents/text"], + "graphs": { + "text": "./agents/text/workflow.py:text_workflow" + }, + "env": ".env" +} +``` + +2. Text Agent의 의존성을 설치해주세요. + +```bash +# text-agent 라는 이름의 도커 이미지 생성 +$ uv sync --package text +``` + +3. `LangGraph-API` 서버를 실행해주세요. `LangSmith UI` 서버가 자동으로 브라우저에서 팝업됩니다. + +```bash +$ uv run langgraph dev +``` + ## 사용 방법 텍스트 Workflow는 다음과 같이 사용할 수 있습니다: @@ -56,4 +85,4 @@ result = text_workflow().invoke(initial_state) ## 라이센스 -이 모듈은 Pseudo Group의 Pseudo Entertainment Company의 내부 프로젝트로, 그룹 정책에 따른 라이센스가 적용됩니다. \ No newline at end of file +이 모듈은 Proact0 의 Act 1: Entertainment 의 내부 프로젝트로, 그룹 정책에 따른 라이센스가 적용됩니다. diff --git a/agents/text/mcp/mcp_config.yml b/agents/text/mcp/mcp_config.yml deleted file mode 100644 index 1af0a8c..0000000 --- a/agents/text/mcp/mcp_config.yml +++ /dev/null @@ -1,7 +0,0 @@ -# 임시 세팅입니다. - -news: - host: "localhost" - port: 8000 - url: "http://localhost:8000" - transport: "stdio" diff --git a/agents/text/mcp/mcp_config_loader.py b/agents/text/mcp/mcp_config_loader.py deleted file mode 100644 index 53077e4..0000000 --- a/agents/text/mcp/mcp_config_loader.py +++ /dev/null @@ -1,32 +0,0 @@ -import os -from dataclasses import dataclass - -from yaml import safe_load - - -@dataclass -class McpConfig: - news_host: str - news_port: int - news_url: str - news_transport: str - - @classmethod - def from_yaml(cls, config_path: str = "mcp_config.yml") -> "McpConfig": - # Get the directory containing this file - current_dir = os.path.dirname(os.path.abspath(__file__)) - # Construct absolute path to config file - config_path = os.path.join(current_dir, config_path) - - with open(config_path, "r") as f: - config = safe_load(f) - - return cls( - news_host=config["news"]["host"], - news_port=config["news"]["port"], - news_url=config["news"]["url"], - news_transport=config["news"]["transport"], - ) - - -mcp_config = McpConfig.from_yaml() diff --git a/agents/text/mcp/mcp_news_server.py b/agents/text/mcp/mcp_news_server.py index 2f0d4bf..4aa9985 100644 --- a/agents/text/mcp/mcp_news_server.py +++ b/agents/text/mcp/mcp_news_server.py @@ -2,19 +2,22 @@ from datetime import date, timedelta from mcp.server.fastmcp import FastMCP -from mcp_config_loader import mcp_config from newsapi import NewsApiClient +NEWS_API_KEY = os.getenv("NEWS_API_KEY") +MCP_NEWS_HOST = os.getenv("MCP_NEWS_HOST", "0.0.0.0") +MCP_NEWS_PORT = int(os.getenv("MCP_NEWS_PORT", 8100)) +MCP_NEWS_TRANSPORT = os.getenv("MCP_NEWS_TRANSPORT", "stdio") + news_mcp = FastMCP( name="news", instructions=( "Act as a news-scraping assistant that, given today's date, finds today's news for Instagram text content." ), - host=mcp_config.news_host, - port=mcp_config.news_port, + host=MCP_NEWS_HOST, + port=MCP_NEWS_PORT, ) - -news_api = NewsApiClient(api_key=os.getenv("NEWS_API_KEY")) +news_api = NewsApiClient(api_key=NEWS_API_KEY) @news_mcp.tool() @@ -40,8 +43,6 @@ async def find_news(keywords: str) -> list[dict]: if __name__ == "__main__": - print( - f"news MCP server is running on {mcp_config.news_host}:{mcp_config.news_port}" - ) + print(f"news MCP server is running on {MCP_NEWS_HOST}:{MCP_NEWS_PORT}") - news_mcp.run(transport=mcp_config.news_transport) + news_mcp.run(transport=MCP_NEWS_TRANSPORT) diff --git a/agents/text/modules/chains.py b/agents/text/modules/chains.py index 803029d..cd7a88a 100644 --- a/agents/text/modules/chains.py +++ b/agents/text/modules/chains.py @@ -67,11 +67,11 @@ def set_topic_generation_news_chain() -> RunnableSerializable: model = get_openai_model() # 문자열 입력을 딕셔너리로 변환 - input_transformer = RunnableLambda(lambda x: {"query": x}) + input_transformer = RunnableLambda(lambda x: {"content_topic": x}) news_scraping_query_chain = ( input_transformer - | RunnablePassthrough.assign(persona_details=lambda x: PERSONA) + | RunnablePassthrough.assign(content_topic=lambda x: x["content_topic"]) | news_scraping_query_prompt | model | StrOutputParser() # 결과를 문자열로 변환 diff --git a/agents/text/modules/prompts.py b/agents/text/modules/prompts.py index 9ff22a7..0ea8c58 100644 --- a/agents/text/modules/prompts.py +++ b/agents/text/modules/prompts.py @@ -104,24 +104,16 @@ def get_news_scraping_query_prompt() -> PromptTemplate: """ 뉴스 스크래핑을 위한 프롬프트 템플릿을 생성합니다. """ - prompt_template = """You are an assistant responsible for generating search queries for retrieving news articles. -You have to generate search query that aligns with given persona: {persona_details} + prompt_template = """You are **News Summary Agent** that search news articles based on given content topic: +{content_topic} -Your tasks: -- To read a given persona outlining the user’s interests and, based on that persona. -- produce a concise and precise news search keyword focused on a specific topic, event, or domain that aligns with -those interests. +You have to summarize news articles based on given content topic for instagram post. -Rules: -- The keyword must be short and clear. -- It must target a topic, event, or domain suitable for news search. -- Output only the search query—no extra text. - -search query: """ +News Summary: """ return PromptTemplate( template=prompt_template, - input_variables=["persona_details"], + input_variables=["content_topic"], ) diff --git a/agents/text/pyproject.toml b/agents/text/pyproject.toml index db1e5cd..e77faaa 100644 --- a/agents/text/pyproject.toml +++ b/agents/text/pyproject.toml @@ -8,10 +8,13 @@ name = "text" version = "0.1.0" description = "텍스트 기반 콘텐츠 생성을 위한 LangGraph Workflow 모듈" readme = "README.md" -requires-python = ">=3.13" +requires-python = ">=3.11" dependencies = [ "langchain-mcp-adapters>=0.0.9", "langchain-openai>=0.3.12", "mcp>=1.6.0", "newsapi-python>=0.2.7", ] + +[tool.setuptools] +packages = ["modules", "mcp"] From f5ffb77dbb4082e341026bb7da763d5172e0c829 Mon Sep 17 00:00:00 2001 From: Gamchan Kang Date: Wed, 25 Jun 2025 20:34:27 +0900 Subject: [PATCH 10/14] docs: update agents/text/README.md --- agents/text/README.md | 18 ++++++++++-------- 1 file changed, 10 insertions(+), 8 deletions(-) diff --git a/agents/text/README.md b/agents/text/README.md index 6c8a7fb..0d7f6b1 100644 --- a/agents/text/README.md +++ b/agents/text/README.md @@ -42,18 +42,20 @@ text/ } ``` -2. Text Agent의 의존성을 설치해주세요. +2. `agents/text/text_agent.sh` 파일에 실행 권한을 부여하고 실행하세요. ```bash -# text-agent 라는 이름의 도커 이미지 생성 -$ uv sync --package text +$ chmod +x agents/text/text_agent.sh +$ agents/text/text_agents.sh ``` -3. `LangGraph-API` 서버를 실행해주세요. `LangSmith UI` 서버가 자동으로 브라우저에서 팝업됩니다. - -```bash -$ uv run langgraph dev -``` +> 로컬 포트에 이미 연결된 프로세스가 존재하는 경우, 다음과 같은 문구가 CLI 창에 출력됩니다. +> +> ```bash +> 포트 사용 중인 프로세스가 있습니다. 종료하시겠습니까? (y/N): +> ``` +> +> PID로 해당 프로세스를 확인하고 실행해주세요. ## 사용 방법 From d98082472b8070e1ff498f5789c88e9b1a9c83b9 Mon Sep 17 00:00:00 2001 From: Gamchan Kang Date: Wed, 25 Jun 2025 21:01:11 +0900 Subject: [PATCH 11/14] chore: fix python version matching with global config --- agents/text/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/agents/text/pyproject.toml b/agents/text/pyproject.toml index e77faaa..751efde 100644 --- a/agents/text/pyproject.toml +++ b/agents/text/pyproject.toml @@ -8,7 +8,7 @@ name = "text" version = "0.1.0" description = "텍스트 기반 콘텐츠 생성을 위한 LangGraph Workflow 모듈" readme = "README.md" -requires-python = ">=3.11" +requires-python = ">=3.13" dependencies = [ "langchain-mcp-adapters>=0.0.9", "langchain-openai>=0.3.12", From e7287994264954193307e0dc217b1b7a461b3860 Mon Sep 17 00:00:00 2001 From: Gamchan Kang Date: Mon, 30 Jun 2025 22:33:43 +0900 Subject: [PATCH 12/14] chore: exclude tracking uv.lock --- uv.lock | 1845 ------------------------------------------------------- 1 file changed, 1845 deletions(-) delete mode 100644 uv.lock diff --git a/uv.lock b/uv.lock deleted file mode 100644 index 5b34940..0000000 --- a/uv.lock +++ /dev/null @@ -1,1845 +0,0 @@ -version = 1 -revision = 1 -requires-python = ">=3.13" - 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From eb8bc089344fd7dbdb3d91593a44e44a99690e1f Mon Sep 17 00:00:00 2001 From: Gamchan Kang Date: Mon, 7 Jul 2025 17:01:13 +0900 Subject: [PATCH 14/14] fix: add close parenthesis --- agents/text/modules/prompts.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/agents/text/modules/prompts.py b/agents/text/modules/prompts.py index fc4db87..c0fb1c9 100644 --- a/agents/text/modules/prompts.py +++ b/agents/text/modules/prompts.py @@ -139,9 +139,9 @@ def get_topic_from_news_prompt(): return PromptTemplate( template=prompt_template, input_variables=["news_article", "persona_details"], + ) + - - def get_persona_match_prompt() -> PromptTemplate: """ Returns a prompt template to evaluate if a given text aligns with a provided persona.