From 2ed7c4859ac9532958b398d180a6db79fc7dc1ea Mon Sep 17 00:00:00 2001 From: Hyungson Date: Tue, 8 Jul 2025 22:09:04 +0900 Subject: [PATCH 1/5] Instagram Comments Analysis --- .env.example | 17 - agents/__init__.py | 4 +- agents/management/README.md | 132 +- agents/management/modules/nodes.py | 280 +++- agents/management/modules/prompts.py | 25 + agents/management/modules/state.py | 30 +- agents/management/test_instagram_workflow.py | 145 +++ agents/management/workflow.py | 83 +- agents/management/yim.ipynb | 604 +++++++++ uv.lock | 1214 +++++++++--------- 10 files changed, 1846 insertions(+), 688 deletions(-) delete mode 100644 .env.example create mode 100644 agents/management/test_instagram_workflow.py create mode 100644 agents/management/yim.ipynb diff --git a/.env.example b/.env.example deleted file mode 100644 index 00d31fc..0000000 --- a/.env.example +++ /dev/null @@ -1,17 +0,0 @@ -# .env.example file -# This file provides examples of environment variables needed for the project. -# For actual use, you will need to copy this file to create an .env file and enter the actual values. - -# Langsmith Project Tracking -# 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) - -# Depending on the configuration you choose, you will need the following environment variables. - -## 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... - -# Others... \ No newline at end of file diff --git a/agents/__init__.py b/agents/__init__.py index 076c9b5..6d55ec5 100644 --- a/agents/__init__.py +++ b/agents/__init__.py @@ -1,3 +1,3 @@ -from agents.workflow import main_workflow +#from agents.workflow import main_workflow -__all__ = ["main_workflow"] +#__all__ = ["main_workflow"] diff --git a/agents/management/README.md b/agents/management/README.md index 79825b2..ea7f9c5 100644 --- a/agents/management/README.md +++ b/agents/management/README.md @@ -58,4 +58,134 @@ result = management_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 Pseudo Group의 Pseudo Entertainment Company의 내부 프로젝트로, 그룹 정책에 따른 라이센스가 적용됩니다. + +# 인스타그램 API 워크플로우 + +이 워크플로우는 인스타그램 API를 사용하여 포스트의 댓글 수 변화를 모니터링하는 LangGraph 기반 시스템입니다. + +## 기능 + +- 인스타그램 사용자의 모든 포스트 정보 가져오기 +- 첫 번째 포스트의 댓글 수 모니터링 +- 댓글 수 변경 시 댓글 데이터 자동 수집 +- JSON 파일을 통한 상태 관리 + +## 워크플로우 구조 + +``` +시작 → 미디어 정보 가져오기 → 댓글 수 확인 → [조건부 분기] + ↓ + 댓글 수 변경? → 댓글 데이터 가져오기 → 종료 + ↓ + 변경 없음 → 종료 +``` + +## 노드 설명 + +### 1. InstagramMediaFetchNode +- 인스타그램 API를 통해 사용자의 모든 미디어 정보를 가져옵니다 +- 첫 번째 미디어 ID를 저장합니다 +- JSON 파일에 초기 데이터를 저장합니다 + +### 2. InstagramCommentsCheckNode +- JSON 파일에서 이전 댓글 수를 읽어옵니다 +- 현재 댓글 수와 비교하여 변경 여부를 확인합니다 +- 변경이 있으면 `has_changes`를 `True`로 설정합니다 + +### 3. InstagramCommentsFetchNode +- 댓글 수 변경이 감지되면 실행됩니다 +- 첫 번째 미디어의 모든 댓글 데이터를 가져옵니다 +- JSON 파일의 댓글 수를 업데이트합니다 + +### 4. NoChangeNode +- 댓글 수 변경이 없을 때 실행됩니다 +- 모니터링을 계속한다는 메시지를 반환합니다 + +## 사용법 + +### 1. 환경 설정 + +```python +# test_instagram_workflow.py 파일에서 실제 인증 정보로 교체 +access_token = "YOUR_ACCESS_TOKEN_HERE" # 실제 액세스 토큰 +user_id = "YOUR_USER_ID_HERE" # 실제 사용자 ID +``` + +### 2. 워크플로우 실행 + +```python +from agents.management.workflow import management_workflow +from agents.management.modules.state import ManagementState + +# 초기 상태 설정 +initial_state = { + "access_token": "YOUR_ACCESS_TOKEN", + "user_id": "YOUR_USER_ID", + "json_file_path": "instagram_data.json", + "response": [] +} + +# 워크플로우 실행 +workflow = management_workflow.build() +result = workflow.invoke(initial_state) +``` + +### 3. 테스트 실행 + +```bash +python agents/management/test_instagram_workflow.py +``` + +## JSON 파일 구조 + +워크플로우 실행 시 생성되는 `instagram_data.json` 파일의 구조: + +```json +{ + "media_data": [ + { + "id": "18007485335525524", + "caption": "정호영 쉐프의 냉제육...", + "media_type": "IMAGE", + "timestamp": "2024-05-18T17:56:11+0000", + "username": "yimbapchunguk", + "like_count": 13, + "comments_count": 6 + } + ], + "first_media_id": "18007485335525524", + "previous_comments_count": 6 +} +``` + +## 상태 필드 + +- `access_token`: 인스타그램 액세스 토큰 +- `user_id`: 인스타그램 사용자 ID +- `json_file_path`: JSON 파일 경로 +- `media_data`: 미디어 데이터 목록 +- `first_media_id`: 첫 번째 미디어 ID +- `current_comments_count`: 현재 댓글 수 +- `previous_comments_count`: 이전 댓글 수 +- `comments_data`: 댓글 데이터 +- `has_changes`: 댓글 수 변경 여부 +- `response`: 응답 메시지 목록 + +## 주의사항 + +1. **API 인증**: 유효한 인스타그램 액세스 토큰이 필요합니다 +2. **API 제한**: Instagram API의 요청 제한을 고려해야 합니다 +3. **토큰 갱신**: 액세스 토큰은 60일 후 만료되므로 주기적으로 갱신해야 합니다 +4. **파일 권한**: JSON 파일 생성 및 수정 권한이 필요합니다 + +## 에러 처리 + +워크플로우는 다음과 같은 에러 상황을 처리합니다: + +- API 요청 실패 +- JSON 파일 읽기/쓰기 오류 +- 미디어 ID 누락 +- 네트워크 연결 오류 + +각 노드에서 발생하는 오류는 적절한 에러 메시지와 함께 처리됩니다. \ No newline at end of file diff --git a/agents/management/modules/nodes.py b/agents/management/modules/nodes.py index eb96438..f914a71 100644 --- a/agents/management/modules/nodes.py +++ b/agents/management/modules/nodes.py @@ -1,48 +1,268 @@ """ -노드 클래스 모듈 +인스타그램 API 워크플로우를 위한 노드 클래스 모듈 해당 클래스 모듈은 각각 노드 클래스가 BaseNode를 상속받아 노드 클래스를 구현하는 모듈입니다. - -아래는 예시입니다. """ +import json +import os +import requests +from typing import Dict, Any, List, Optional +from dotenv import load_dotenv +from datetime import datetime + from agents.base_node import BaseNode -from agents.management.modules.chains import set_resource_planning_chain from agents.management.modules.state import ManagementState +from agents.management.modules.prompts import get_instagram_comment_analysis_prompt +from langchain_google_genai import ChatGoogleGenerativeAI +from langchain_core.messages import HumanMessage -class ResourceManagementNode(BaseNode): +load_dotenv(override=True) + +class InstagramMediaFetchNode(BaseNode): """ - 프로젝트에 필요한 리소스를 계획하고 관리하는 노드 + 인스타그램 미디어 정보를 가져오는 노드 """ - def __init__(self, **kwargs): - super().__init__(**kwargs) # BaseNode 초기화 - self.chain = set_resource_planning_chain() # 리소스 계획 체인 설정 - - def execute(self, state: ManagementState) -> dict: + def execute(self, state: ManagementState) -> Dict[str, Any]: """ - 주어진 상태(state)에서 project_id, request_type, query 등의 정보를 추출하여 - 리소스 계획 체인에 전달하고, 결과를 응답으로 반환합니다. + 인스타그램 API를 통해 미디어 정보를 가져오거나 JSON 파일에서 읽어옵니다. + 댓글 수 변경을 감지하고 상태를 업데이트합니다. """ - # 팀 구성원 기본값 처리 - team_members = state.get("team_members", []) + print(f"🔍 [InstagramMediaFetchNode] 실행 중...") + + json_file_path = state["comment_file_path"] + access_token = state["access_token"] + user_id = state["user_id"] + + # JSON 파일에서 이전 데이터 읽기 + previous_data = None + if os.path.exists(json_file_path): + try: + with open(json_file_path, 'r', encoding='utf-8') as f: + previous_data = json.load(f) + print(f"📁 [InstagramMediaFetchNode] JSON 파일에서 이전 데이터를 읽어왔습니다.") + # print(f"first_media_id: {previous_data['first_media_id']} / previous_comments_count: {previous_data['previous_comments_count']}") + except Exception as e: + print(f"JSON 파일 읽기 오류: {str(e)}") + + # Instagram API에서 최신 미디어 데이터 가져오기 + print(f"📡 [InstagramMediaFetchNode] Instagram API에서 미디어 데이터를 가져오는 중...") + + # 요청할 필드 지정 + fields = 'id,caption,media_type,timestamp,username,like_count,comments_count' + + url = f'https://graph.instagram.com/v23.0/{user_id}/media?access_token={access_token}' + params = { + 'fields': fields, + } + + try: + response = requests.get(url, params=params) + if response.status_code == 200: + data = response.json() + media_data = data.get('data', []) + + if not media_data: + return { + "response": "미디어 데이터가 없습니다." + } + + # 첫 번째 미디어 정보 + first_media = media_data[0] + first_media_id = first_media['id'] + current_comments_count = first_media['comments_count'] + + print(f"📊 [InstagramMediaFetchNode] 첫 번째 미디어 {first_media_id}의 댓글 수: {current_comments_count}") + + # 이전 데이터와 비교 + has_changes = False + previous_comments_count = 0 + + if previous_data: + previous_comments_count = previous_data.get('previous_comments_count', 0) + has_changes = current_comments_count != previous_comments_count + print(f"📊 [InstagramMediaFetchNode] 이전 댓글 수: {previous_comments_count}, 현재: {current_comments_count}, 변경: {has_changes}") + + # 댓글 수 변경이 있을 때는 JSON 파일을 나중에 업데이트하도록 임시 데이터만 준비 + json_data = { + 'media_data': media_data, + 'first_media_id': first_media_id, + 'previous_comments_count': current_comments_count + } + + # 최초 실행, 댓글 수 변경이 있을 때만 JSON 파일 업데이트 + if not os.path.exists(json_file_path): + with open(json_file_path, 'w', encoding='utf-8') as f: + json.dump(json_data, f, ensure_ascii=False, indent=2) + print(f"💾 [InstagramMediaFetchNode] 최초 실행: 미디어 데이터를 JSON 파일에 저장했습니다.") + else: + if has_changes: + print(f"📝 [InstagramMediaFetchNode] 댓글 수 변경 감지. JSON 파일은 댓글 수집 후 업데이트됩니다.") + else: + print(f"📝 [InstagramMediaFetchNode] 기존 JSON 파일이 존재하여 저장하지 않습니다.") + + + return { + "media_data": media_data, + "first_media_id": first_media_id, + "current_comments_count": current_comments_count, + "previous_comments_count": previous_comments_count, + "has_changes": has_changes, + "json_data": json_data, # 댓글 수집 후 저장할 데이터 + "response": f"미디어 데이터를 성공적으로 가져왔습니다. 총 {len(media_data)}개의 포스트가 있습니다. 댓글 수 변경: {has_changes}" + } + else: + return { + "response": f"API 요청 실패: {response.status_code} - {response.text}" + } + except Exception as e: + return { + "response": f"미디어 데이터 가져오기 중 오류 발생: {str(e)}" + } + + +class InstagramCommentsFetchNode(BaseNode): + """ + 댓글 데이터를 가져오는 노드 + """ - # 리소스 계획 체인 실행 - resource_plan = self.chain.invoke( - { - "project_id": state["project_id"], # 프로젝트 ID - "request_type": state["request_type"], # 요청 유형 - "query": state["query"], # 사용자 쿼리 - "team_members": team_members, # 팀 구성원 - "resources_available": state.get( - "resources_available", {} - ), # 사용 가능한 리소스 + def execute(self, state: ManagementState) -> Dict[str, Any]: + """ + 첫 번째 미디어의 댓글 데이터를 가져옵니다. + """ + print(f"🔍 [InstagramCommentsFetchNode] 실행 중...") + + access_token = state["access_token"] + first_media_id = state["first_media_id"] + json_file_path = state["comment_file_path"] + json_data = state.get("json_data") + + if not first_media_id: + return { + "response": "미디어 ID가 없습니다." } - ) + + try: + # 댓글 데이터 가져오기 + comments_data = self._get_comments_data(access_token, first_media_id) + + # 댓글 리스트 출력 + print(f"\n📝 [InstagramCommentsFetchNode] 댓글 리스트:") + for i, comment in enumerate(comments_data, 1): + print(f" {i}. {comment.get('text', 'N/A')} (by {comment.get('username', 'Unknown')})") + print() + + # 댓글 수집 후 JSON 파일 저장 + if json_data: + # media_data의 첫 번째 항목의 comments_count 업데이트 + if json_data.get('media_data') and len(json_data['media_data']) > 0: + json_data['media_data'][0]['comments_count'] = state.get('current_comments_count', 0) + + # previous_comments_count 업데이트 + json_data['previous_comments_count'] = state.get('current_comments_count', 0) + + with open(json_file_path, 'w', encoding='utf-8') as f: + json.dump(json_data, f, ensure_ascii=False, indent=2) + print(f"💾 [InstagramCommentsFetchNode] 댓글 수집 완료 후 JSON 파일을 업데이트했습니다.") + + return { + "comments_data": comments_data, + "response": f"댓글 데이터를 성공적으로 가져왔습니다. 총 {len(comments_data)}개의 댓글이 있습니다." + } + except Exception as e: + return { + "response": f"댓글 데이터 가져오기 중 오류 발생: {str(e)}" + } + + def _get_comments_data(self, access_token: str, media_id: str) -> List[Dict[str, Any]]: + """ + Get comments API를 통해 특정 미디어의 댓글 데이터를 가져옵니다. + """ + url = f'https://graph.instagram.com/v23.0/{media_id}/comments?access_token={access_token}' + params = { + 'fields': 'id,text,timestamp,username' + } + + try: + response = requests.get(url, params=params) + if response.status_code == 200: + data = response.json() + comments = data.get('data', []) + print(f"📝 [InstagramCommentsFetchNode] 미디어 {media_id}에서 {len(comments)}개의 댓글을 가져왔습니다.") + return comments + else: + print(f"댓글 가져오기 API 오류: {response.status_code} - {response.text}") + return [] + except Exception as e: + print(f"댓글 가져오기 네트워크 오류: {str(e)}") + return [] + + +class InstagramCommentsAnalysisNode(BaseNode): + """ + 인스타그램 댓글을 LLM(Gemini)으로 분석하는 노드 (langchain 기반) + """ + def execute(self, state: ManagementState) -> Dict[str, Any]: + print(f"🔍 [InstagramCommentsAnalysisNode] 실행 중...") + comments_data = state.get("comments_data", []) + if not comments_data: + return {"response": "분석할 댓글 데이터가 없습니다."} + + # 댓글 텍스트만 추출 + comments_texts = [c.get("text", "") for c in comments_data if c.get("text")] + comments_str = "\n".join(comments_texts) + + # 프롬프트 생성 + prompt_template = get_instagram_comment_analysis_prompt() + prompt = prompt_template.format(comments=comments_str) - # 상태 업데이트 - state["resource_plan"] = resource_plan + # LangChain 기반 Gemini LLM 호출 + try: + api_key = os.environ.get("GOOGLE_API_KEY") + if not api_key: + return {"response": "GOOGLE_API_KEY 환경변수가 설정되어 있지 않습니다.", "comment_analysis_result": None} + llm = ChatGoogleGenerativeAI(model="gemini-2.5-flash", google_api_key=api_key) + response = llm.invoke([HumanMessage(content=prompt)]) + result_text = response.content if hasattr(response, "content") else str(response) + print(f"[InstagramCommentsAnalysisNode] 분석 결과:\n{result_text}") + state["comment_analysis_result"] = result_text + + # 분석 결과를 별도 json 파일로 저장 - # 생성된 리소스 계획을 응답으로 반환 - return {"response": resource_plan} + now_str = datetime.now().isoformat() + analysis_file_path = state.get("comment_analysis_file_path") + # 파일이 존재하면 기존 데이터에 추가, 없으면 새로 생성 + if os.path.exists(analysis_file_path): + try: + with open(analysis_file_path, 'r', encoding='utf-8') as f: + analysis_data = json.load(f) + except Exception: + analysis_data = {} + analysis_data[now_str] = result_text + else: + analysis_data = {now_str: result_text} + with open(analysis_file_path, 'w', encoding='utf-8') as f: + json.dump(analysis_data, f, ensure_ascii=False, indent=2) + print(f"[InstagramCommentsAnalysisNode] 분석 결과를 {analysis_file_path}에 저장했습니다.") + return {"comment_analysis_result": result_text, "response": "댓글 분석이 완료되었습니다."} + except Exception as e: + print(f"[InstagramCommentsAnalysisNode] Gemini 호출 오류: {str(e)}") + return {"response": f"Gemini 호출 오류: {str(e)}", "comment_analysis_result": None} + + +class NoChangeNode(BaseNode): + """ + 댓글 수 변경이 없을 때 실행되는 노드 + """ + + def execute(self, state: ManagementState) -> Dict[str, Any]: + """ + 댓글 수 변경이 없을 때의 처리를 수행합니다. + """ + print(f"🔍 [NoChangeNode] 실행 중...") + + return { + "response": "댓글 수에 변경이 없습니다. 모니터링을 계속합니다." + } diff --git a/agents/management/modules/prompts.py b/agents/management/modules/prompts.py index 16d9764..444ac19 100644 --- a/agents/management/modules/prompts.py +++ b/agents/management/modules/prompts.py @@ -84,3 +84,28 @@ def get_resource_planning_prompt(): "resources_available", ], # 프롬프트에 삽입될 변수들 ) + + +def get_instagram_comment_analysis_prompt(): + """ + Returns a prompt template for analyzing Instagram comments in English, but output must be translated to Korean. + """ + comment_analysis_template = """Below is a list of comments from an Instagram post. Please analyze these comments and summarize the following information in English: + +1. Overall sentiment (ratio of positive/negative/neutral) +2. Main issues or discussion topics +3. Representative examples of positive, negative, and neutral comments (one each) +4. The general atmosphere and characteristics of the comments +5. Any additional noteworthy points + +Comment List: +{comments} + +Analysis: + +Translate all your output to Korean.""" + + return PromptTemplate( + template=comment_analysis_template, + input_variables=["comments"], + ) diff --git a/agents/management/modules/state.py b/agents/management/modules/state.py index 8799502..e4e6d5d 100644 --- a/agents/management/modules/state.py +++ b/agents/management/modules/state.py @@ -1,30 +1,34 @@ """ -아래는 예시입니다. +인스타그램 API 워크플로우를 위한 상태 정의 """ from __future__ import annotations -from dataclasses import dataclass -from typing import Annotated, TypedDict, List, Dict, Optional +from typing import Annotated, TypedDict, List, Dict, Optional, Any from langgraph.graph.message import add_messages -@dataclass class ManagementState(TypedDict): """ - 관리(Management) Workflow의 상태를 정의하는 TypedDict 클래스 + 인스타그램 API 워크플로우의 상태를 정의하는 TypedDict 클래스 - 프로젝트, 팀, 리소스의 관리와 크리에이터 직업 성장을 위한 Workflow에서 사용되는 상태 정보를 정의합니다. + 인스타그램 포스트 정보와 댓글 모니터링을 위한 Workflow에서 사용되는 상태 정보를 정의합니다. LangGraph의 상태 관리를 위한 클래스로, Workflow 내에서 처리되는 데이터의 형태와 구조를 지정합니다. """ - project_id: str # 프로젝트 ID (예: "PRJ-2023-001", "EP-MARVEL-S01") - request_type: str # 요청 유형 (예: "resource_allocation", "team_management", "creator_development") - query: str # 사용자 쿼리 또는 요청사항 - team_members: Optional[List[str]] = None # 팀 구성원 목록 - resources_available: Optional[Dict[str, any]] = None # 사용 가능한 리소스 정보 - resource_plan: Optional[str] = None # 리소스 계획 콘텐츠 + access_token: str # 인스타그램 액세스 토큰 + user_id: str # 인스타그램 사용자 ID + comment_file_path: str # JSON 파일 경로 + comment_analysis_file_path:str + media_data: Optional[List[Dict[str, Any]]] # 미디어 데이터 목록 + first_media_id: Optional[str] # 첫 번째 미디어 ID + current_comments_count: Optional[int] # 현재 댓글 수 + previous_comments_count: Optional[int] # 이전 댓글 수 + comments_data: Optional[List[Dict[str, Any]]] # 댓글 데이터 + has_changes: Optional[bool] # 댓글 수 변경 여부 + json_data: Optional[Dict[str, Any]] # JSON 파일에 저장할 데이터 response: Annotated[ - list, add_messages + List[Any], add_messages ] # 응답 메시지 목록 (add_messages로 주석되어 메시지 추가 기능 제공) + comment_analysis_result: Optional[Any] # 댓글 분석 결과 diff --git a/agents/management/test_instagram_workflow.py b/agents/management/test_instagram_workflow.py new file mode 100644 index 0000000..6c948eb --- /dev/null +++ b/agents/management/test_instagram_workflow.py @@ -0,0 +1,145 @@ +""" +인스타그램 API 워크플로우 테스트 스크립트 +""" + +import os +import sys +import schedule +import time +from dotenv import load_dotenv + +load_dotenv(override=True) +# 프로젝트 루트를 Python 경로에 추가 +sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))) + +from agents.management.workflow import management_workflow +from agents.management.modules.state import ManagementState + +ACCESS_TOKEN = os.environ.get("INSTAGRAM_API_KEY") +USER_ID = "17841451140542851" + +run_count = 0 # 전역 실행 카운터 + +def test_instagram_workflow(): + global run_count + run_count += 1 + print(f"\n===== {run_count}번째 실행 =====") + """ + 인스타그램 워크플로우를 테스트합니다. + """ + # 인스타그램 API 인증 정보 (실제 값으로 교체 필요) + access_token = ACCESS_TOKEN # 실제 액세스 토큰으로 교체 + user_id = USER_ID # 실제 사용자 ID로 교체 + + # 초기 상태 설정 + initial_state = { + "access_token": access_token, + "user_id": user_id, + "comment_file_path": "instagram_data.json", + "comment_analysis_file_path": "instagram_data_analysis.json", + "json_data": None, # JSON 파일에 저장할 데이터 + "response": [] + } + + try: + # 워크플로우 실행 + print("인스타그램 워크플로우를 시작합니다...") + + # 워크플로우 빌드 + workflow = management_workflow.build() + + # 워크플로우 실행 + result = workflow.invoke(initial_state) + + # 결과 출력 + print("\n=== 워크플로우 실행 결과 ===") + for message in result.get("response", []): + if hasattr(message, 'content'): + print(f"응답: {message.content}") + else: + print(f"응답: {message}") + + # 상태 정보 출력 + print(f"\n=== 상태 정보 ===") + print(f"미디어 데이터 개수: {len(result.get('media_data', []))}") + print(f"첫 번째 미디어 ID: {result.get('first_media_id')}") + print(f"현재 댓글 수: {result.get('current_comments_count')}") + print(f"이전 댓글 수: {result.get('previous_comments_count')}") + print(f"변경 여부: {result.get('has_changes')}") + + if result.get('comments_data'): + print(f"댓글 데이터 개수: {len(result.get('comments_data', []))}") + + # API 오류 체크 + response_text = str(result.get("response", [])) + if "API 요청에 실패했습니다" in response_text or "Invalid OAuth access token" in response_text: + print(f"\n⚠️ API 오류가 발생했습니다. 토큰을 확인해주세요.") + print(f" - 토큰이 만료되었을 수 있습니다.") + print(f" - 토큰이 올바른지 확인해주세요.") + print(f" - 인스타그램 API 권한을 확인해주세요.") + + except Exception as e: + print(f"워크플로우 실행 중 오류 발생: {str(e)}") + + +# def test_subsequent_runs(): +# """ +# 두 번째 실행부터의 워크플로우를 테스트합니다. +# """ +# # 인스타그램 API 인증 정보 (실제 값으로 교체 필요) +# access_token = ACCESS_TOKEN # 실제 액세스 토큰으로 교체 +# user_id = USER_ID # 실제 사용자 ID로 교체 + +# # 초기 상태 설정 +# initial_state = { +# "access_token": access_token, +# "user_id": user_id, +# "json_file_path": "instagram_data.json", +# "json_data": None, # JSON 파일에 저장할 데이터 +# "response": [] +# } + +# try: +# # 워크플로우 실행 +# print("두 번째 실행: 댓글 수 변경 확인...") + +# # 워크플로우 빌드 +# workflow = management_workflow.build() + +# # 워크플로우 실행 +# result = workflow.invoke(initial_state) + +# # 결과 출력 +# print("\n=== 두 번째 실행 결과 ===") +# for message in result.get("response", []): +# if hasattr(message, 'content'): +# print(f"응답: {message.content}") +# else: +# print(f"응답: {message}") + +# # 상태 정보 출력 +# print(f"\n=== 상태 정보 ===") +# print(f"현재 댓글 수: {result.get('current_comments_count')}") +# print(f"이전 댓글 수: {result.get('previous_comments_count')}") +# print(f"변경 여부: {result.get('has_changes')}") + +# if result.get('comments_data'): +# print(f"댓글 데이터 개수: {len(result.get('comments_data', []))}") + +# except Exception as e: +# print(f"워크플로우 실행 중 오류 발생: {str(e)}") + + +def run_scheduler(): + # 10분마다 워크플로우 실행 + schedule.every(1).minutes.do(test_instagram_workflow) + # 또는 매 1시간마다: schedule.every().hour.do(test_instagram_workflow) + + print("스케줄러가 시작되었습니다. (Ctrl+C로 종료)") + while True: + schedule.run_pending() + time.sleep(1) + +if __name__ == "__main__": + # run_scheduler() + test_instagram_workflow() \ No newline at end of file diff --git a/agents/management/workflow.py b/agents/management/workflow.py index 20ba00b..377959b 100644 --- a/agents/management/workflow.py +++ b/agents/management/workflow.py @@ -1,15 +1,21 @@ from langgraph.graph import StateGraph +from langgraph.prebuilt import ToolNode from agents.base_workflow import BaseWorkflow -from agents.management.modules.nodes import ResourceManagementNode +from agents.management.modules.nodes import ( + InstagramMediaFetchNode, + InstagramCommentsFetchNode, + NoChangeNode, + InstagramCommentsAnalysisNode +) from agents.management.modules.state import ManagementState class ManagementWorkflow(BaseWorkflow): """ - 콘텐츠 관리를 위한 Workflow 클래스 + 인스타그램 API 모니터링을 위한 Workflow 클래스 - 이 클래스는 프로젝트, 팀, 리소스의 관리와 크리에이터 직업 성장을 위한 Workflow를 정의합니다. + 이 클래스는 인스타그램 포스트의 댓글 수 변화를 모니터링하는 Workflow를 정의합니다. BaseWorkflow를 상속받아 기본 구조를 구현하고, ManagementState를 사용하여 상태를 관리합니다. """ @@ -19,35 +25,70 @@ def __init__(self, state): def build(self): """ - 관리 Workflow 그래프 구축 메서드 + 인스타그램 모니터링 Workflow 그래프 구축 메서드 - StateGraph를 사용하여 콘텐츠 관리를 위한 Workflow 그래프를 구축합니다. - 현재는 리소스 관리 노드를 포함하고 있으며, 추후 조건부 에지를 추가하여 - 다양한 경로를 가진 Workflow를 구축할 수 있습니다. + StateGraph를 사용하여 인스타그램 API 모니터링을 위한 Workflow 그래프를 구축합니다. + 조건부 에지를 사용하여 댓글 수 변경 여부에 따라 다른 경로를 실행합니다. Returns: CompiledStateGraph: 컴파일된 상태 그래프 객체 """ builder = StateGraph(self.state) - # 리소스 관리 노드 추가 - builder.add_node("resource_management", ResourceManagementNode()) - # 시작 노드에서 리소스 관리 노드로 연결 - builder.add_edge("__start__", "resource_management") - # 리소스 관리 노드에서 종료 노드로 연결 - builder.add_edge("resource_management", "__end__") - - # 조건부 에지 추가 예시 - # builder.add_conditional_edges( - # "resource_planning", - # # resource_planning 실행이 완료된 후, 다음 노드(들)는 - # # router의 출력을 기반으로 예약됩니다 - # router, - # ) + + # 노드 추가 + builder.add_node("media_fetch", InstagramMediaFetchNode()) + builder.add_node("comments_fetch", InstagramCommentsFetchNode()) + builder.add_node("analysis", InstagramCommentsAnalysisNode()) + builder.add_node("no_change", NoChangeNode()) + + # 시작 노드에서 미디어 가져오기 노드로 연결 + builder.add_edge("__start__", "media_fetch") + + # 조건부 에지: 댓글 수 변경 여부에 따라 분기 + builder.add_conditional_edges( + "media_fetch", + self._should_fetch_comments, + { + "fetch_comments": "comments_fetch", + "no_change": "no_change", + "api_error": "__end__" # API 오류 시 종료 + } + ) + + # 댓글 가져오기 노드에서 분석 노드로, 분석 노드에서 종료 + builder.add_edge("comments_fetch", "analysis") + builder.add_edge("analysis", "__end__") workflow = builder.compile() # 그래프 컴파일 workflow.name = self.name # Workflow 이름 설정 return workflow + + def _should_fetch_comments(self, state: ManagementState) -> str: + """ + 댓글을 가져올지 결정하는 라우터 함수 + + Args: + state: 현재 상태 + + Returns: + str: 다음 노드 이름 ("fetch_comments", "no_change", 또는 "api_error") + """ + print(f"🔄 [Router] 다음 노드 결정 중...") + + # API 오류 체크 + if "API 요청에 실패했습니다" in str(state.get("response", [])): + print(f"🔄 [Router] API 오류 감지 → api_error 경로 선택") + return "api_error" + + has_changes = state.get("has_changes", False) + + if has_changes: + print(f"🔄 [Router] 댓글 수 변경 감지 → fetch_comments 경로 선택") + return "fetch_comments" + else: + print(f"🔄 [Router] 댓글 수 변경 없음 → no_change 경로 선택") + return "no_change" # 관리 Workflow 인스턴스 생성 diff --git a/agents/management/yim.ipynb b/agents/management/yim.ipynb new file mode 100644 index 0000000..b71dd81 --- /dev/null +++ b/agents/management/yim.ipynb @@ -0,0 +1,604 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# curl -X POST https://api.instagram.com/oauth/access_token \\\n", + "# -F 'client_id=4138874016433703' \\\n", + "# -F 'client_secret=8c299c783ae492c81f2555c4d3e60a63' \\\n", + "# -F 'grant_type=authorization_code' \\\n", + "# -F 'redirect_uri=https://localhost:8000/' \\\n", + "# -F 'code=AQBk7omOXBna9xEXNLq3Ca7GO5M-XXMgJ44FVU6FtscAY1Dl-3CQi2VL-TLvQ4A5QTRgQYkKwFme_oOlgaEejl14D4YrBo0UQuN3ZXPt3RFPDSVPa0phaqkcDCc2WETvHMYzrkegQn6oE0pX7ObtYvNo9cNbRSw7z40BT7muYVeDuMr5T0-DD21T4N2z1EporW_D7ew-3NDb2bO-vkpPUzbFt0gLbAVSQOTF6KIF_LXsxw'" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "ename": "SyntaxError", + "evalue": "invalid syntax (4290686422.py, line 1)", + "output_type": "error", + "traceback": [ + " \u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[2]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[31m \u001b[39m\u001b[31mcurl -X POST https://api.instagram.com/oauth/access_token \\\u001b[39m\n ^\n\u001b[31mSyntaxError\u001b[39m\u001b[31m:\u001b[39m invalid syntax\n" + ] + } + ], + "source": [ + "# {\"access_token\": \n", + "# \"IGAA60SLOFBidBZAE9HdEpFWWl6d0RmMnVkdEVyS1ktYVJiZAHFmUFRtWS1WWmFxNWlXM3lHRW1iLVhWLUVTRWdnVVNCU056YURCbVZATQmRxb3BNOWNQM0hiX2NpTWFCdlpONDc3TzBMM0V1Xy1tTlV5N21KSEl4TEd3SktmMFZAPb1VwWWJ2X0tXYVl0OUIxRUowMXV5RmRR\", \n", + "# \"user_id\": 30281998311447113, \"permissions\": \n", + "# [\"instagram_business_basic\", \"instagram_business_manage_messages\", \n", + "# \"instagram_business_content_publish\", \"instagram_business_manage_insights\", \n", + "# \"instagram_business_manage_comments\"]}%" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#curl -i -X GET \"https://graph.instagram.com/access_token?grant_type=ig_exchange_token&client_secret=8c299c783ae492c81f2555c4d3e60a63&access_token=IGAA60SLOFBidBZAE9HdEpFWWl6d0RmMnVkdEVyS1ktYVJiZAHFmUFRtWS1WWmFxNWlXM3lHRW1iLVhWLUVTRWdnVVNCU056YURCbVZATQmRxb3BNOWNQM0hiX2NpTWFCdlpONDc3TzBMM0V1Xy1tTlV5N21KSEl4TEd3SktmMFZAPb1VwWWJ2X0tXYVl0OUIxRUowMXV5RmRR\"" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# 60일 토큰\n", + "token = {\"access_token\":\"IGAA60SLOFBidBZAFB1ZAURpem9lRFVaeS04bXZAvWXhkV0dCSjY1ODVHaVoybERLcnVqOEhvYlNPbXFUNUE0a20weER1aGFXOTF2VXY1Ti1mRmd3WmdGRUh2SDgyeDVxam5BS1RMZAmkzZAWszNDZArZAFoxbXdR\",\n", + "\"token_type\":\"bearer\",\"expires_in\":5184000}" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'IGAA60SLOFBidBZAFB1ZAURpem9lRFVaeS04bXZAvWXhkV0dCSjY1ODVHaVoybERLcnVqOEhvYlNPbXFUNUE0a20weER1aGFXOTF2VXY1Ti1mRmd3WmdGRUh2SDgyeDVxam5BS1RMZAmkzZAWszNDZArZAFoxbXdR'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "token['access_token']" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# curl -i -X GET \\\n", + "# \"https://graph.instagram.com/v23.0/me?fields=user_id,username&access_token=IGAA60SLOFBidBZAFB1ZAURpem9lRFVaeS04bXZAvWXhkV0dCSjY1ODVHaVoybERLcnVqOEhvYlNPbXFUNUE0a20weER1aGFXOTF2VXY1Ti1mRmd3WmdGRUh2SDgyeDVxam5BS1RMZAmkzZAWszNDZArZAFoxbXdR\"" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "user_id = {\"user_id\":\"17841451140542851\",\"username\":\"yimbapchunguk\",\"id\":\"30281998311447113\"}" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'data': [{'id': '18007485335525524', 'caption': '정호영 쉐프의 냉제육\\n\\n내가 해봤던 요리 중 가장 쉬운 편에 속하지만\\n맛 또한 가장 좋은 편에 속한다.\\n\\n꼭 해먹어 보길 바람처럼 왔다가 이슬처럼 갈 순 없잖아', 'media_type': 'IMAGE', 'timestamp': '2024-05-18T17:56:11+0000', 'username': 'yimbapchunguk', 'like_count': 13, 'comments_count': 7}, {'id': '18008998250043407', 'caption': '여유 long time no see\\n원팬 파스타 sucks\\nI prefer old way', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2023-11-09T07:15:54+0000', 'username': 'yimbapchunguk', 'like_count': 11, 'comments_count': 0}, {'id': '18003786535984507', 'caption': '동기님들 방문해 주셨습니다… 근데 이제 인스피릿을 곁들인', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2023-08-29T17:05:47+0000', 'username': 'yimbapchunguk', 'like_count': 20, 'comments_count': 6}, {'id': '17913183179789753', 'caption': '메타코미디클럽 이선민씨 방문해주셨습니다', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2023-08-05T07:05:01+0000', 'username': 'yimbapchunguk', 'like_count': 19, 'comments_count': 1}, {'id': '17887411151864640', 'caption': '냉우동 맛도리\\n커티삭 맛도리', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2023-07-21T03:36:27+0000', 'username': 'yimbapchunguk', 'like_count': 17, 'comments_count': 4}, {'id': '17954969525209194', 'caption': '찬물로 파 씻다가 손구락 얼음', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2023-01-24T13:43:49+0000', 'username': 'yimbapchunguk', 'like_count': 22, 'comments_count': 3}, {'id': '17884996073691257', 'caption': '바쁘다 바뻐 형빈사회\\n집에서 밥을 거의 못먹다가 오랜만에 꽤 공들여서 한 저녁\\n학회듣고 빨래하고 뭐하고 하다가 10시 반에 겨우 먹음\\n후식은 컵누들', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-11-15T16:08:58+0000', 'username': 'yimbapchunguk', 'like_count': 18, 'comments_count': 3}, {'id': '17958508052095266', 'caption': '개지리는 카레 레시피 알아냄\\n견과류 빻아서 넣으면 맛있음\\n나는 구운 캐슈너트 넣었음\\n후첨가 버터는 유통기한 지났음\\n카레 넣기 전에 이미 국물 지렸음', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-10-18T04:22:23+0000', 'username': 'yimbapchunguk', 'like_count': 17, 'comments_count': 5}, {'id': '18313440799027884', 'caption': '많이도 해서 먹었습니다', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-08-19T12:06:56+0000', 'username': 'yimbapchunguk', 'like_count': 20, 'comments_count': 7}, {'id': '17910861560562909', 'caption': '간만에 임밥천국이 영업했어요.\\n저희 매장 기본찬인 웨지 감자와 봉골레 두접시, 육전 한사바리 요리했습니다.\\n+와인 6병 , 어 리를빗 꼬냑\\n\\n#봉골레 #봉골레파스타 #봉골레맛집 #육전 #육전맛집 #임밥천국', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-07-01T15:47:18+0000', 'username': 'yimbapchunguk', 'like_count': 19, 'comments_count': 1}, {'id': '17936239340067834', 'caption': '쌀이 세컵밖에 안남아서 냄비밥을 했다. 냄비밥은 정말 맛있다. \\n간만에 소고기먹었다. 소가 맛있는 이유는 자주 못먹어서 인듯ㅋㅋ \\n\\n#백종원레시피 #소불고기 #냄비밥 #최강록레시피', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-06-11T16:23:58+0000', 'username': 'yimbapchunguk', 'like_count': 24, 'comments_count': 7}, {'id': '17928318890256046', 'caption': '오랜만에 손님 맞이로 임밥천국을 개시했읍니다. 꽤나 만족스러운 맛이었읍니다. 문의주세요. 단체 환영.\\n\\n#골뱅이무침 #부추전 #백종원레시피 #아하부장레시피', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-05-08T04:45:29+0000', 'username': 'yimbapchunguk', 'like_count': 12, 'comments_count': 4}, {'id': '17925246794186696', 'caption': '카레는 역시 저 골든 커리가 젤 맛있는듯. 양파 캬라멜라이징 싹 돌리고 소고기 마이야르 촥 굽고 브섯이랑 댕건 스윽 구워서 가니시로 올리면 코코이찌방야 저리 가라야~\\n\\n#카레 #일본식카레 #골든카레 #goldencurry #임밥천국', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-03-19T12:26:32+0000', 'username': 'yimbapchunguk', 'like_count': 10, 'comments_count': 16}, {'id': '17933571104071046', 'caption': '이번 봉골레 실패했다 면발 무슨 칼국수냐? 애들 앞에서 임밥천국 쪽팔리게 에이씨 빡치네 \\n\\n#봉골레파스타', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-03-14T11:16:53+0000', 'username': 'yimbapchunguk', 'like_count': 10, 'comments_count': 6}, {'id': '17916218135489138', 'caption': '토맛토맛토 스파게티는 참 간편해~\\n\\n#토마토파스타', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-03-04T09:41:44+0000', 'username': 'yimbapchunguk', 'like_count': 9, 'comments_count': 3}, {'id': '17930629043024490', 'caption': '백종원 선생님의 콩내물 불게기를 해보았다. 설탕을 넣다 쫌 쏟아서 달달했다. 백선생님 오늘도 감사했습니다… 방구석 제자가 되니 기쁘네요 😎\\n\\n#백종원레시피 #콩나물불고기 #임밥천국', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-02-22T04:13:32+0000', 'username': 'yimbapchunguk', 'like_count': 14, 'comments_count': 0}, {'id': '17982896386458231', 'caption': '설날 기념 잡채를 만들어보았다. 편스토랑에서 어남선생의 레시피를 카피했다. 편하고 맛이 좋았다. 신선하게 시금치 대신 알배추를 넣었다. 달고 담백하니 맛이 좋았다. 하이볼 세잔 먹음. \\n\\n#편스토랑레시피 #어남선생레시피 #잡채', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-02-01T13:38:06+0000', 'username': 'yimbapchunguk', 'like_count': 8, 'comments_count': 3}, {'id': '18184518865091131', 'caption': '닭개장… 어렵고 힘들 것 같나? 그렇다. 두시간을 걸려서 만들었다. 이번엔 msg를 안넣고 만들었고 그래도 맛있었다. 나중에 친구들 오면 만들어서 쏘주랑 먹어야지\\n\\n#닭개장 #아하부장 #아하부장레시피', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-01-27T14:04:40+0000', 'username': 'yimbapchunguk', 'like_count': 5, 'comments_count': 4}, {'id': '17959135507574073', 'caption': '고기 굽기는 아직 서투르다… 코팅 팬을 또 태워버렸어… 설거지는 두렵지만 맛은 아주 맛있었다. 이런 맛이라면 그깟 설거지 백번은 해주마!!!\\n\\n#돼지고기목살구이 #마이야르 #몬트리올시즈닝', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-01-22T14:09:32+0000', 'username': 'yimbapchunguk', 'like_count': 5, 'comments_count': 4}, {'id': '17916204953221655', 'caption': '소고기 무국\\n깊다… 냄비가 3m쯤 되려나…? 착각하게 하는 맛 \\n백종원이 없는 다른 멀티버스에서 임형빈 너는 뭘 먹고 지내냐?!!!\\n#소고기무국 #백종원 #백종원레시피', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-01-17T13:39:02+0000', 'username': 'yimbapchunguk', 'like_count': 6, 'comments_count': 2}, {'id': '17949593110651400', 'caption': '제육볶음\\n#공격수셰프 #공격수셰프레시피 #제육볶음', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-01-17T10:52:03+0000', 'username': 'yimbapchunguk', 'like_count': 2, 'comments_count': 2}], 'paging': {'cursors': {'before': 'QVFIUlJjTEM2Y3U1X2dRcGw4UVNhb0tnTmpvR1F6aUFfZA2RtcVpOZAnNtek5PeFlQRk1jdHFCTVJIaTBVelBmU0pYX0dVa3R0ckduam1CLXctb09lQTRiLUZAR', 'after': 'QVFIUjdhbkp1dmk1RG91bFo2Qm1taGc5R2RHVnc2NEVTQ0hTaExUTlNVR3NyamVwY01YM2xEWHNpX0tmaG9FQW1Ec1REbXpZAWmZAxMTNUbVFlMFp0RE1lLU5B'}}}\n" + ] + } + ], + "source": [ + "# 미디어 조회\n", + "\n", + "import requests\n", + "\n", + "# 액세스 토큰과 Instagram User ID를 입력하세요\n", + "ACCESS_TOKEN = token['access_token']\n", + "USER_ID = user_id['user_id'] # 보통 'me'로도 가능\n", + "\n", + "# 요청할 필드 지정 (예: id, caption, media_type, media_url, timestamp 등)\n", + "fields = 'id,caption,media_type,timestamp,username,like_count,comments_count'\n", + "\n", + "url = f'https://graph.instagram.com/v23.0/{USER_ID}/media?access_token={ACCESS_TOKEN}'\n", + "params = {\n", + " 'fields': fields,\n", + " #'access_token': ACCESS_TOKEN\n", + "}\n", + "\n", + "response = requests.get(url, params=params)\n", + "if response.status_code == 200:\n", + " data = response.json()\n", + " print(data)\n", + "else:\n", + " print('Error:', response.status_code, response.text)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'id': '18007485335525524',\n", + " 'caption': '정호영 쉐프의 냉제육\\n\\n내가 해봤던 요리 중 가장 쉬운 편에 속하지만\\n맛 또한 가장 좋은 편에 속한다.\\n\\n꼭 해먹어 보길 바람처럼 왔다가 이슬처럼 갈 순 없잖아',\n", + " 'media_type': 'IMAGE',\n", + " 'timestamp': '2024-05-18T17:56:11+0000',\n", + " 'username': 'yimbapchunguk',\n", + " 'like_count': 13,\n", + " 'comments_count': 6}" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data['data'][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[{'id': '18022768160476133', 'text': '@mirageee_00 맞아요', 'timestamp': '2024-05-19T02:48:47+0000'}, {'id': '17948944328688519', 'text': '@joo_bob_1212 당신의 못된 심보', 'timestamp': '2024-05-19T02:48:39+0000'}, {'id': '18017927048263258', 'text': '@gangster_joo 아직 제자리 걸음입니다', 'timestamp': '2024-05-19T02:48:28+0000'}, {'id': '17976935447558867', 'text': '왜 이유없이 화가나지 ?', 'timestamp': '2024-05-18T18:57:59+0000'}, {'id': '18047838088664274', 'text': '소금 넣고 끓는 물에 담구는 그거?', 'timestamp': '2024-05-18T18:07:18+0000'}, {'id': '18414185098071553', 'text': '저한테 해줬던 봉골레 파스타는 일취월장 하셨나요?? 임쉪??', 'timestamp': '2024-05-18T18:04:05+0000'}]\n" + ] + } + ], + "source": [ + "# 미디어 댓글 조회\n", + "\n", + "import requests\n", + "\n", + "# IG_MEDIA_ID에 실제 미디어 ID를 입력하세요\n", + "IG_MEDIA_ID = \"18007485335525524\"#data['data'][0]['id']\n", + "#ACCESS_TOKEN = \"IGAA60SLOFBidBZAE03d3VxN3lvaHAyMXJHNVM2bnFGeDhvdWNuOHRtS1c5b3gzOFpWQzZARZAjhBMXBOTlBEOVR1cXMwUG5BSXlWWHZALWUpOVHBna0Rtc2tyVy1ieE5TM3pYa3NiMzlOR3hmOTB4dUFUdy1jZAEFHWmF0R0J5ZA3ZAlZAwZDZD\"\n", + "\n", + "url = f'https://graph.instagram.com/v23.0/{IG_MEDIA_ID}/comments?access_token={ACCESS_TOKEN}'\n", + "fields = 'id,text,timestamp'\n", + "params = {\n", + " 'fields': fields\n", + "}\n", + "\n", + "response = requests.get(url, \n", + " params=params\n", + " )\n", + "if response.status_code == 200:\n", + " comments_data = response.json()\n", + " print(comments_data['data'])\n", + "else:\n", + " print('Error:', response.status_code, response.text)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# 60일 토큰\n", + "token = {\"access_token\":\"IGAA60SLOFBidBZAFB1ZAURpem9lRFVaeS04bXZAvWXhkV0dCSjY1ODVHaVoybERLcnVqOEhvYlNPbXFUNUE0a20weER1aGFXOTF2VXY1Ti1mRmd3WmdGRUh2SDgyeDVxam5BS1RMZAmkzZAWszNDZArZAFoxbXdR\",\n", + "\"token_type\":\"bearer\",\"expires_in\":5184000}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'IGAA60SLOFBidBZAFB1ZAURpem9lRFVaeS04bXZAvWXhkV0dCSjY1ODVHaVoybERLcnVqOEhvYlNPbXFUNUE0a20weER1aGFXOTF2VXY1Ti1mRmd3WmdGRUh2SDgyeDVxam5BS1RMZAmkzZAWszNDZArZAFoxbXdR'" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "token['access_token']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# curl -i -X GET \\\n", + "# \"https://graph.instagram.com/v23.0/me?fields=user_id,username&access_token=IGAA60SLOFBidBZAFB1ZAURpem9lRFVaeS04bXZAvWXhkV0dCSjY1ODVHaVoybERLcnVqOEhvYlNPbXFUNUE0a20weER1aGFXOTF2VXY1Ti1mRmd3WmdGRUh2SDgyeDVxam5BS1RMZAmkzZAWszNDZArZAFoxbXdR\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "user_id = {\"user_id\":\"17841451140542851\",\"username\":\"yimbapchunguk\",\"id\":\"30281998311447113\"}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'data': [{'id': '18007485335525524', 'caption': '정호영 쉐프의 냉제육\\n\\n내가 해봤던 요리 중 가장 쉬운 편에 속하지만\\n맛 또한 가장 좋은 편에 속한다.\\n\\n꼭 해먹어 보길 바람처럼 왔다가 이슬처럼 갈 순 없잖아', 'media_type': 'IMAGE', 'timestamp': '2024-05-18T17:56:11+0000', 'username': 'yimbapchunguk', 'like_count': 13, 'comments_count': 6}, {'id': '18008998250043407', 'caption': '여유 long time no see\\n원팬 파스타 sucks\\nI prefer old way', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2023-11-09T07:15:54+0000', 'username': 'yimbapchunguk', 'like_count': 11, 'comments_count': 0}, {'id': '18003786535984507', 'caption': '동기님들 방문해 주셨습니다… 근데 이제 인스피릿을 곁들인', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2023-08-29T17:05:47+0000', 'username': 'yimbapchunguk', 'like_count': 20, 'comments_count': 6}, {'id': '17913183179789753', 'caption': '메타코미디클럽 이선민씨 방문해주셨습니다', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2023-08-05T07:05:01+0000', 'username': 'yimbapchunguk', 'like_count': 19, 'comments_count': 1}, {'id': '17887411151864640', 'caption': '냉우동 맛도리\\n커티삭 맛도리', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2023-07-21T03:36:27+0000', 'username': 'yimbapchunguk', 'like_count': 17, 'comments_count': 4}, {'id': '17954969525209194', 'caption': '찬물로 파 씻다가 손구락 얼음', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2023-01-24T13:43:49+0000', 'username': 'yimbapchunguk', 'like_count': 22, 'comments_count': 3}, {'id': '17884996073691257', 'caption': '바쁘다 바뻐 형빈사회\\n집에서 밥을 거의 못먹다가 오랜만에 꽤 공들여서 한 저녁\\n학회듣고 빨래하고 뭐하고 하다가 10시 반에 겨우 먹음\\n후식은 컵누들', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-11-15T16:08:58+0000', 'username': 'yimbapchunguk', 'like_count': 18, 'comments_count': 3}, {'id': '17958508052095266', 'caption': '개지리는 카레 레시피 알아냄\\n견과류 빻아서 넣으면 맛있음\\n나는 구운 캐슈너트 넣었음\\n후첨가 버터는 유통기한 지났음\\n카레 넣기 전에 이미 국물 지렸음', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-10-18T04:22:23+0000', 'username': 'yimbapchunguk', 'like_count': 17, 'comments_count': 5}, {'id': '18313440799027884', 'caption': '많이도 해서 먹었습니다', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-08-19T12:06:56+0000', 'username': 'yimbapchunguk', 'like_count': 20, 'comments_count': 7}, {'id': '17910861560562909', 'caption': '간만에 임밥천국이 영업했어요.\\n저희 매장 기본찬인 웨지 감자와 봉골레 두접시, 육전 한사바리 요리했습니다.\\n+와인 6병 , 어 리를빗 꼬냑\\n\\n#봉골레 #봉골레파스타 #봉골레맛집 #육전 #육전맛집 #임밥천국', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-07-01T15:47:18+0000', 'username': 'yimbapchunguk', 'like_count': 19, 'comments_count': 1}, {'id': '17936239340067834', 'caption': '쌀이 세컵밖에 안남아서 냄비밥을 했다. 냄비밥은 정말 맛있다. \\n간만에 소고기먹었다. 소가 맛있는 이유는 자주 못먹어서 인듯ㅋㅋ \\n\\n#백종원레시피 #소불고기 #냄비밥 #최강록레시피', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-06-11T16:23:58+0000', 'username': 'yimbapchunguk', 'like_count': 24, 'comments_count': 7}, {'id': '17928318890256046', 'caption': '오랜만에 손님 맞이로 임밥천국을 개시했읍니다. 꽤나 만족스러운 맛이었읍니다. 문의주세요. 단체 환영.\\n\\n#골뱅이무침 #부추전 #백종원레시피 #아하부장레시피', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-05-08T04:45:29+0000', 'username': 'yimbapchunguk', 'like_count': 12, 'comments_count': 4}, {'id': '17925246794186696', 'caption': '카레는 역시 저 골든 커리가 젤 맛있는듯. 양파 캬라멜라이징 싹 돌리고 소고기 마이야르 촥 굽고 브섯이랑 댕건 스윽 구워서 가니시로 올리면 코코이찌방야 저리 가라야~\\n\\n#카레 #일본식카레 #골든카레 #goldencurry #임밥천국', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-03-19T12:26:32+0000', 'username': 'yimbapchunguk', 'like_count': 10, 'comments_count': 16}, {'id': '17933571104071046', 'caption': '이번 봉골레 실패했다 면발 무슨 칼국수냐? 애들 앞에서 임밥천국 쪽팔리게 에이씨 빡치네 \\n\\n#봉골레파스타', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-03-14T11:16:53+0000', 'username': 'yimbapchunguk', 'like_count': 10, 'comments_count': 6}, {'id': '17916218135489138', 'caption': '토맛토맛토 스파게티는 참 간편해~\\n\\n#토마토파스타', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-03-04T09:41:44+0000', 'username': 'yimbapchunguk', 'like_count': 9, 'comments_count': 3}, {'id': '17930629043024490', 'caption': '백종원 선생님의 콩내물 불게기를 해보았다. 설탕을 넣다 쫌 쏟아서 달달했다. 백선생님 오늘도 감사했습니다… 방구석 제자가 되니 기쁘네요 😎\\n\\n#백종원레시피 #콩나물불고기 #임밥천국', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-02-22T04:13:32+0000', 'username': 'yimbapchunguk', 'like_count': 14, 'comments_count': 0}, {'id': '17982896386458231', 'caption': '설날 기념 잡채를 만들어보았다. 편스토랑에서 어남선생의 레시피를 카피했다. 편하고 맛이 좋았다. 신선하게 시금치 대신 알배추를 넣었다. 달고 담백하니 맛이 좋았다. 하이볼 세잔 먹음. \\n\\n#편스토랑레시피 #어남선생레시피 #잡채', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-02-01T13:38:06+0000', 'username': 'yimbapchunguk', 'like_count': 8, 'comments_count': 3}, {'id': '18184518865091131', 'caption': '닭개장… 어렵고 힘들 것 같나? 그렇다. 두시간을 걸려서 만들었다. 이번엔 msg를 안넣고 만들었고 그래도 맛있었다. 나중에 친구들 오면 만들어서 쏘주랑 먹어야지\\n\\n#닭개장 #아하부장 #아하부장레시피', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-01-27T14:04:40+0000', 'username': 'yimbapchunguk', 'like_count': 5, 'comments_count': 4}, {'id': '17959135507574073', 'caption': '고기 굽기는 아직 서투르다… 코팅 팬을 또 태워버렸어… 설거지는 두렵지만 맛은 아주 맛있었다. 이런 맛이라면 그깟 설거지 백번은 해주마!!!\\n\\n#돼지고기목살구이 #마이야르 #몬트리올시즈닝', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-01-22T14:09:32+0000', 'username': 'yimbapchunguk', 'like_count': 5, 'comments_count': 4}, {'id': '17916204953221655', 'caption': '소고기 무국\\n깊다… 냄비가 3m쯤 되려나…? 착각하게 하는 맛 \\n백종원이 없는 다른 멀티버스에서 임형빈 너는 뭘 먹고 지내냐?!!!\\n#소고기무국 #백종원 #백종원레시피', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-01-17T13:39:02+0000', 'username': 'yimbapchunguk', 'like_count': 6, 'comments_count': 2}, {'id': '17949593110651400', 'caption': '제육볶음\\n#공격수셰프 #공격수셰프레시피 #제육볶음', 'media_type': 'CAROUSEL_ALBUM', 'timestamp': '2022-01-17T10:52:03+0000', 'username': 'yimbapchunguk', 'like_count': 2, 'comments_count': 2}], 'paging': {'cursors': {'before': 'QVFIUlJjTEM2Y3U1X2dRcGw4UVNhb0tnTmpvR1F6aUFfZA2RtcVpOZAnNtek5PeFlQRk1jdHFCTVJIaTBVelBmU0pYX0dVa3R0ckduam1CLXctb09lQTRiLUZAR', 'after': 'QVFIUjdhbkp1dmk1RG91bFo2Qm1taGc5R2RHVnc2NEVTQ0hTaExUTlNVR3NyamVwY01YM2xEWHNpX0tmaG9FQW1Ec1REbXpZAWmZAxMTNUbVFlMFp0RE1lLU5B'}}}\n" + ] + } + ], + "source": [ + "# 미디어 조회\n", + "\n", + "import requests\n", + "\n", + "# 액세스 토큰과 Instagram User ID를 입력하세요\n", + "ACCESS_TOKEN = token['access_token']\n", + "USER_ID = user_id['user_id'] # 보통 'me'로도 가능\n", + "\n", + "# 요청할 필드 지정 (예: id, caption, media_type, media_url, timestamp 등)\n", + "fields = 'id,caption,media_type,timestamp,username,like_count,comments_count'\n", + "\n", + "url = f'https://graph.instagram.com/v23.0/{USER_ID}/media?access_token={ACCESS_TOKEN}'\n", + "params = {\n", + " 'fields': fields,\n", + " #'access_token': ACCESS_TOKEN\n", + "}\n", + "\n", + "response = requests.get(url, params=params)\n", + "if response.status_code == 200:\n", + " data = response.json()\n", + " print(data)\n", + "else:\n", + " print('Error:', response.status_code, response.text)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'id': '18007485335525524',\n", + " 'caption': '정호영 쉐프의 냉제육\\n\\n내가 해봤던 요리 중 가장 쉬운 편에 속하지만\\n맛 또한 가장 좋은 편에 속한다.\\n\\n꼭 해먹어 보길 바람처럼 왔다가 이슬처럼 갈 순 없잖아',\n", + " 'media_type': 'IMAGE',\n", + " 'timestamp': '2024-05-18T17:56:11+0000',\n", + " 'username': 'yimbapchunguk',\n", + " 'like_count': 13,\n", + " 'comments_count': 6}" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data['data'][0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[{'id': '18022768160476133', 'text': '@mirageee_00 맞아요', 'timestamp': '2024-05-19T02:48:47+0000'}, {'id': '17948944328688519', 'text': '@joo_bob_1212 당신의 못된 심보', 'timestamp': '2024-05-19T02:48:39+0000'}, {'id': '18017927048263258', 'text': '@gangster_joo 아직 제자리 걸음입니다', 'timestamp': '2024-05-19T02:48:28+0000'}, {'id': '17976935447558867', 'text': '왜 이유없이 화가나지 ?', 'timestamp': '2024-05-18T18:57:59+0000'}, {'id': '18047838088664274', 'text': '소금 넣고 끓는 물에 담구는 그거?', 'timestamp': '2024-05-18T18:07:18+0000'}, {'id': '18414185098071553', 'text': '저한테 해줬던 봉골레 파스타는 일취월장 하셨나요?? 임쉪??', 'timestamp': '2024-05-18T18:04:05+0000'}]\n" + ] + } + ], + "source": [ + "# 미디어 댓글 조회\n", + "\n", + "import requests\n", + "\n", + "# IG_MEDIA_ID에 실제 미디어 ID를 입력하세요\n", + "IG_MEDIA_ID = \"18007485335525524\"#data['data'][0]['id']\n", + "#ACCESS_TOKEN = \"IGAA60SLOFBidBZAE03d3VxN3lvaHAyMXJHNVM2bnFGeDhvdWNuOHRtS1c5b3gzOFpWQzZARZAjhBMXBOTlBEOVR1cXMwUG5BSXlWWHZALWUpOVHBna0Rtc2tyVy1ieE5TM3pYa3NiMzlOR3hmOTB4dUFUdy1jZAEFHWmF0R0J5ZA3ZAlZAwZDZD\"\n", + "\n", + "url = f'https://graph.instagram.com/v23.0/{IG_MEDIA_ID}/comments?access_token={ACCESS_TOKEN}'\n", + "fields = 'id,text,timestamp'\n", + "params = {\n", + " 'fields': fields\n", + "}\n", + "\n", + "response = requests.get(url, \n", + " params=params\n", + " )\n", + "if response.status_code == 200:\n", + " comments_data = response.json()\n", + " print(comments_data['data'])\n", + "else:\n", + " print('Error:', response.status_code, response.text)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2mUsing Python 3.13.5 environment at: /Users/hyungson/pseudo/Act1-Entertainment/.venv\u001b[0m\n", + "Package Version\n", + "------------------------ -----------\n", + "aiohappyeyeballs 2.6.1\n", + "aiohttp 3.11.16\n", + "aiosignal 1.3.2\n", + "annotated-types 0.7.0\n", + "anyio 4.9.0\n", + "appnope 0.1.4\n", + "asttokens 3.0.0\n", + "attrs 25.3.0\n", + "blockbuster 1.5.24\n", + "certifi 2025.1.31\n", + "cffi 1.17.1\n", + "cfgv 3.4.0\n", + "charset-normalizer 3.4.1\n", + "click 8.1.8\n", + "cloudpickle 3.1.1\n", + "comm 0.2.2\n", + "cryptography 44.0.2\n", + "dataclasses-json 0.6.7\n", + "debugpy 1.8.14\n", + "decorator 5.2.1\n", + "distlib 0.3.9\n", + "distro 1.9.0\n", + "executing 2.2.0\n", + "filelock 3.18.0\n", + "forbiddenfruit 0.1.4\n", + "frozenlist 1.5.0\n", + "h11 0.14.0\n", + "httpcore 1.0.8\n", + "httpx 0.28.1\n", + "httpx-sse 0.4.0\n", + "identify 2.6.9\n", + "idna 3.10\n", + "iniconfig 2.1.0\n", + "ipykernel 6.29.5\n", + "ipython 9.1.0\n", + "ipython-pygments-lexers 1.1.1\n", + "jedi 0.19.2\n", + "jiter 0.9.0\n", + "jsonpatch 1.33\n", + "jsonpointer 3.0.0\n", + "jsonschema-rs 0.29.1\n", + "jupyter-client 8.6.3\n", + "jupyter-core 5.7.2\n", + "langchain 0.3.23\n", + "langchain-community 0.3.21\n", + "langchain-core 0.3.52\n", + "langchain-openai 0.3.13\n", + "langchain-text-splitters 0.3.8\n", + "langgraph 0.3.30\n", + "langgraph-api 0.1.7\n", + "langgraph-checkpoint 2.0.24\n", + "langgraph-cli 0.2.3\n", + "langgraph-prebuilt 0.1.8\n", + "langgraph-runtime-inmem 0.0.4\n", + "langgraph-sdk 0.1.61\n", + "langsmith 0.3.31\n", + "marshmallow 3.26.1\n", + "matplotlib-inline 0.1.7\n", + "multidict 6.4.3\n", + "mypy-extensions 1.0.0\n", + "nest-asyncio 1.6.0\n", + "nodeenv 1.9.1\n", + "numpy 2.2.4\n", + "openai 1.74.0\n", + "orjson 3.10.16\n", + "ormsgpack 1.9.1\n", + "packaging 24.2\n", + "parso 0.8.4\n", + "pexpect 4.9.0\n", + "platformdirs 4.3.7\n", + "pluggy 1.5.0\n", + "pre-commit 4.2.0\n", + "prompt-toolkit 3.0.51\n", + "propcache 0.3.1\n", + "psutil 7.0.0\n", + "ptyprocess 0.7.0\n", + "pure-eval 0.2.3\n", + "pycparser 2.22\n", + "pydantic 2.11.3\n", + "pydantic-core 2.33.1\n", + "pydantic-settings 2.8.1\n", + "pygments 2.19.1\n", + "pyjwt 2.10.1\n", + "pytest 8.3.5\n", + "python-dateutil 2.9.0.post0\n", + "python-dotenv 1.1.0\n", + "pyyaml 6.0.2\n", + "pyzmq 26.4.0\n", + "regex 2024.11.6\n", + "requests 2.32.3\n", + "requests-toolbelt 1.0.0\n", + "six 1.17.0\n", + "sniffio 1.3.1\n", + "sqlalchemy 2.0.40\n", + "sse-starlette 2.1.3\n", + "stack-data 0.6.3\n", + "starlette 0.46.2\n", + "structlog 25.2.0\n", + "tenacity 9.1.2\n", + "tiktoken 0.9.0\n", + "tornado 6.4.2\n", + "tqdm 4.67.1\n", + "traitlets 5.14.3\n", + "typing-extensions 4.13.2\n", + "typing-inspect 0.9.0\n", + "typing-inspection 0.4.0\n", + "urllib3 2.4.0\n", + "uvicorn 0.34.1\n", + "virtualenv 20.30.0\n", + "watchfiles 1.0.5\n", + "wcwidth 0.2.13\n", + "xxhash 3.5.0\n", + "yarl 1.19.0\n", + "zstandard 0.23.0\n" + ] + } + ], + "source": [ + "!uv pip list" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "!source /Users/hyungson/pseudo/Act1-Entertainment/.venv/bin/activate" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "insta_data = pd.read_csv('../../../test_comments.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 rozy.gramVerified 115 w로지 폼, 아니 폰트 미쳤다 🤩 여러분! ...\n", + "1 Your Seoul-inspired visuals are giving major m...\n", + "2 This vibe’s giving me serious ‘final boss but ...\n", + "3 I love you\n", + "4 Adorable❤️\n", + "Name: Ône_ând_ônly_, dtype: object" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "insta_data.iloc[:,1][:5]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "from langchain_google_genai import ChatGoogleGenerativeAI\n", + "import os\n", + "api_key = \"AIzaSyCFCjksODoQYn8puDdzuyNr-5EPSlXGvUo\"\n", + "llm = ChatGoogleGenerativeAI(model=\"gemini-2.5-flash\", google_api_key=api_key)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "response = llm.invoke(\"안녕\")" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "content='안녕하세요!' additional_kwargs={} response_metadata={'prompt_feedback': {'block_reason': 0, 'safety_ratings': []}, 'finish_reason': 'STOP', 'model_name': 'gemini-2.5-flash', 'safety_ratings': []} id='run--702ce41a-725d-4557-939f-af0e1b5ce97a-0' usage_metadata={'input_tokens': 3, 'output_tokens': 2, 'total_tokens': 41, 'input_token_details': {'cache_read': 0}, 'output_token_details': {'reasoning': 36}}\n" + ] + } + ], + "source": [ + "print(response)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + 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deletion(-) diff --git a/agents/management/yim.ipynb b/agents/management/yim.ipynb index b71dd81..8dc39db 100644 --- a/agents/management/yim.ipynb +++ b/agents/management/yim.ipynb @@ -535,7 +535,10 @@ "source": [ "from langchain_google_genai import ChatGoogleGenerativeAI\n", "import os\n", - "api_key = \"AIzaSyCFCjksODoQYn8puDdzuyNr-5EPSlXGvUo\"\n", + "from dotenv import load_dotenv\n", + "\n", + "load_dotenv(override=True)\n", + "api_key = os.environ.get(\"GOOGLE_API_KEY\")\n", "llm = ChatGoogleGenerativeAI(model=\"gemini-2.5-flash\", google_api_key=api_key)\n" ] }, From 4b9bd2a392f69008863643020cae27476dae0f42 Mon Sep 17 00:00:00 2001 From: qjrm1430 Date: Tue, 8 Jul 2025 22:53:48 +0900 Subject: [PATCH 3/5] chore: Add new Jupyter notebook for Instagram API interactions and media analysis --- {agents/management => tests/hyungson_test}/yim.ipynb | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename {agents/management => tests/hyungson_test}/yim.ipynb (100%) diff --git a/agents/management/yim.ipynb b/tests/hyungson_test/yim.ipynb similarity index 100% rename from agents/management/yim.ipynb rename to tests/hyungson_test/yim.ipynb From d1813405691d5b3360ab83f0bd7cbd035e6972c5 Mon Sep 17 00:00:00 2001 From: Hyungson Date: Sun, 20 Jul 2025 22:06:34 +0900 Subject: [PATCH 4/5] =?UTF-8?q?code=20review=20=EB=B0=98=EC=98=81?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- agents/management/modules/prompts.py | 10 +- agents/management/pyproject.toml | 5 +- agents/management/test_instagram_workflow.py | 145 ----------- agents/management/workflow.py | 87 +++++++ instagram_data.json | 195 ++++++++++++++ {agents/management => tests}/yim.ipynb | 51 +++- uv.lock | 254 ++++++++++++++++++- 7 files changed, 592 insertions(+), 155 deletions(-) delete mode 100644 agents/management/test_instagram_workflow.py create mode 100644 instagram_data.json rename {agents/management => tests}/yim.ipynb (83%) diff --git a/agents/management/modules/prompts.py b/agents/management/modules/prompts.py index 444ac19..9bb6bdf 100644 --- a/agents/management/modules/prompts.py +++ b/agents/management/modules/prompts.py @@ -88,7 +88,15 @@ def get_resource_planning_prompt(): def get_instagram_comment_analysis_prompt(): """ - Returns a prompt template for analyzing Instagram comments in English, but output must be translated to Korean. + Returns a prompt template for analyzing Instagram comments in English. + The prompt asks for: + 1. Overall sentiment (positive/negative/neutral ratio) + 2. Main issues or discussion topics + 3. Representative examples of positive/negative/neutral comments (one each) + 4. General atmosphere and characteristics of the comments + 5. Any additional noteworthy points + Input: comments (list of comment texts) + Output: English summary/analysis """ comment_analysis_template = """Below is a list of comments from an Instagram post. Please analyze these comments and summarize the following information in English: diff --git a/agents/management/pyproject.toml b/agents/management/pyproject.toml index 37ca5b9..bd36e1c 100644 --- a/agents/management/pyproject.toml +++ b/agents/management/pyproject.toml @@ -9,4 +9,7 @@ version = "0.1.0" description = "엔터테인먼트 컨텐츠 관리를 위한 LangGraph Workflow 모듈" readme = "README.md" requires-python = ">=3.13" -dependencies = [] +dependencies = [ + "langchain-google-genai>=2.1.8", + "pandas>=2.3.1", +] diff --git a/agents/management/test_instagram_workflow.py b/agents/management/test_instagram_workflow.py deleted file mode 100644 index 6c948eb..0000000 --- a/agents/management/test_instagram_workflow.py +++ /dev/null @@ -1,145 +0,0 @@ -""" -인스타그램 API 워크플로우 테스트 스크립트 -""" - -import os -import sys -import schedule -import time -from dotenv import load_dotenv - -load_dotenv(override=True) -# 프로젝트 루트를 Python 경로에 추가 -sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))) - -from agents.management.workflow import management_workflow -from agents.management.modules.state import ManagementState - -ACCESS_TOKEN = os.environ.get("INSTAGRAM_API_KEY") -USER_ID = "17841451140542851" - -run_count = 0 # 전역 실행 카운터 - -def test_instagram_workflow(): - global run_count - run_count += 1 - print(f"\n===== {run_count}번째 실행 =====") - """ - 인스타그램 워크플로우를 테스트합니다. - """ - # 인스타그램 API 인증 정보 (실제 값으로 교체 필요) - access_token = ACCESS_TOKEN # 실제 액세스 토큰으로 교체 - user_id = USER_ID # 실제 사용자 ID로 교체 - - # 초기 상태 설정 - initial_state = { - "access_token": access_token, - "user_id": user_id, - "comment_file_path": "instagram_data.json", - "comment_analysis_file_path": "instagram_data_analysis.json", - "json_data": None, # JSON 파일에 저장할 데이터 - "response": [] - } - - try: - # 워크플로우 실행 - print("인스타그램 워크플로우를 시작합니다...") - - # 워크플로우 빌드 - workflow = management_workflow.build() - - # 워크플로우 실행 - result = workflow.invoke(initial_state) - - # 결과 출력 - print("\n=== 워크플로우 실행 결과 ===") - for message in result.get("response", []): - if hasattr(message, 'content'): - print(f"응답: {message.content}") - else: - print(f"응답: {message}") - - # 상태 정보 출력 - print(f"\n=== 상태 정보 ===") - print(f"미디어 데이터 개수: {len(result.get('media_data', []))}") - print(f"첫 번째 미디어 ID: {result.get('first_media_id')}") - print(f"현재 댓글 수: {result.get('current_comments_count')}") - print(f"이전 댓글 수: {result.get('previous_comments_count')}") - print(f"변경 여부: {result.get('has_changes')}") - - if result.get('comments_data'): - print(f"댓글 데이터 개수: {len(result.get('comments_data', []))}") - - # API 오류 체크 - response_text = str(result.get("response", [])) - if "API 요청에 실패했습니다" in response_text or "Invalid OAuth access token" in response_text: - print(f"\n⚠️ API 오류가 발생했습니다. 토큰을 확인해주세요.") - print(f" - 토큰이 만료되었을 수 있습니다.") - print(f" - 토큰이 올바른지 확인해주세요.") - print(f" - 인스타그램 API 권한을 확인해주세요.") - - except Exception as e: - print(f"워크플로우 실행 중 오류 발생: {str(e)}") - - -# def test_subsequent_runs(): -# """ -# 두 번째 실행부터의 워크플로우를 테스트합니다. -# """ -# # 인스타그램 API 인증 정보 (실제 값으로 교체 필요) -# access_token = ACCESS_TOKEN # 실제 액세스 토큰으로 교체 -# user_id = USER_ID # 실제 사용자 ID로 교체 - -# # 초기 상태 설정 -# initial_state = { -# "access_token": access_token, -# "user_id": user_id, -# "json_file_path": "instagram_data.json", -# "json_data": None, # JSON 파일에 저장할 데이터 -# "response": [] -# } - -# try: -# # 워크플로우 실행 -# print("두 번째 실행: 댓글 수 변경 확인...") - -# # 워크플로우 빌드 -# workflow = management_workflow.build() - -# # 워크플로우 실행 -# result = workflow.invoke(initial_state) - -# # 결과 출력 -# print("\n=== 두 번째 실행 결과 ===") -# for message in result.get("response", []): -# if hasattr(message, 'content'): -# print(f"응답: {message.content}") -# else: -# print(f"응답: {message}") - -# # 상태 정보 출력 -# print(f"\n=== 상태 정보 ===") -# print(f"현재 댓글 수: {result.get('current_comments_count')}") -# print(f"이전 댓글 수: {result.get('previous_comments_count')}") -# print(f"변경 여부: {result.get('has_changes')}") - -# if result.get('comments_data'): -# print(f"댓글 데이터 개수: {len(result.get('comments_data', []))}") - -# except Exception as e: -# print(f"워크플로우 실행 중 오류 발생: {str(e)}") - - -def run_scheduler(): - # 10분마다 워크플로우 실행 - schedule.every(1).minutes.do(test_instagram_workflow) - # 또는 매 1시간마다: schedule.every().hour.do(test_instagram_workflow) - - print("스케줄러가 시작되었습니다. (Ctrl+C로 종료)") - while True: - schedule.run_pending() - time.sleep(1) - -if __name__ == "__main__": - # run_scheduler() - test_instagram_workflow() \ No newline at end of file diff --git a/agents/management/workflow.py b/agents/management/workflow.py index 377959b..66a35bf 100644 --- a/agents/management/workflow.py +++ b/agents/management/workflow.py @@ -9,7 +9,12 @@ InstagramCommentsAnalysisNode ) from agents.management.modules.state import ManagementState +from langchain.utils.env import get_from_env +import schedule +import time + +ACCESS_TOKEN = get_from_env("instagram_api_key","INSTAGRAM_API_KEY") class ManagementWorkflow(BaseWorkflow): """ @@ -93,3 +98,85 @@ def _should_fetch_comments(self, state: ManagementState) -> str: # 관리 Workflow 인스턴스 생성 management_workflow = ManagementWorkflow(ManagementState) + + +USER_ID = "17841451140542851" + +run_count = 0 # 전역 실행 카운터 + +def test_instagram_workflow(): + global run_count + run_count += 1 + print(f"\n===== {run_count}번째 실행 =====") + """ + 인스타그램 워크플로우를 테스트합니다. + """ + # 인스타그램 API 인증 정보 (실제 값으로 교체 필요) + access_token = ACCESS_TOKEN # 실제 액세스 토큰으로 교체 + user_id = USER_ID # 실제 사용자 ID로 교체 + + # 초기 상태 설정 + initial_state = { + "access_token": access_token, + "user_id": user_id, + "comment_file_path": "instagram_data.json", + "comment_analysis_file_path": "instagram_data_analysis.json", + "json_data": None, # JSON 파일에 저장할 데이터 + "response": [] + } + + try: + # 워크플로우 실행 + print("인스타그램 워크플로우를 시작합니다...") + + # 워크플로우 빌드 + workflow = management_workflow.build() + + # 워크플로우 실행 + result = workflow.invoke(initial_state) + + # 결과 출력 + print("\n=== 워크플로우 실행 결과 ===") + for message in result.get("response", []): + if hasattr(message, 'content'): + print(f"응답: {message.content}") + else: + print(f"응답: {message}") + + # 상태 정보 출력 + print(f"\n=== 상태 정보 ===") + print(f"미디어 데이터 개수: {len(result.get('media_data', []))}") + print(f"첫 번째 미디어 ID: {result.get('first_media_id')}") + print(f"현재 댓글 수: {result.get('current_comments_count')}") + print(f"이전 댓글 수: {result.get('previous_comments_count')}") + print(f"변경 여부: {result.get('has_changes')}") + + if result.get('comments_data'): + print(f"댓글 데이터 개수: {len(result.get('comments_data', []))}") + + # API 오류 체크 + response_text = str(result.get("response", [])) + if "API 요청에 실패했습니다" in response_text or "Invalid OAuth access token" in response_text: + print(f"\n⚠️ API 오류가 발생했습니다. 토큰을 확인해주세요.") + print(f" - 토큰이 만료되었을 수 있습니다.") + print(f" - 토큰이 올바른지 확인해주세요.") + print(f" - 인스타그램 API 권한을 확인해주세요.") + + except Exception as e: + print(f"워크플로우 실행 중 오류 발생: {str(e)}") + + + +def run_scheduler(): + # 10분마다 워크플로우 실행 + schedule.every(1).minutes.do(test_instagram_workflow) + # 또는 매 1시간마다: schedule.every().hour.do(test_instagram_workflow) + + print("스케줄러가 시작되었습니다. (Ctrl+C로 종료)") + while True: + schedule.run_pending() + time.sleep(1) + +if __name__ == "__main__": + # run_scheduler() + test_instagram_workflow() \ No newline at end of file diff --git a/instagram_data.json b/instagram_data.json new file mode 100644 index 0000000..b761db8 --- /dev/null +++ b/instagram_data.json @@ -0,0 +1,195 @@ +{ + "media_data": [ + { + "id": "18007485335525524", + "caption": "정호영 쉐프의 냉제육\n\n내가 해봤던 요리 중 가장 쉬운 편에 속하지만\n맛 또한 가장 좋은 편에 속한다.\n\n꼭 해먹어 보길 바람처럼 왔다가 이슬처럼 갈 순 없잖아", + "media_type": "IMAGE", + "timestamp": "2024-05-18T17:56:11+0000", + "username": "yimbapchunguk", + "like_count": 13, + "comments_count": 7 + }, + { + "id": "18008998250043407", + "caption": "여유 long time no see\n원팬 파스타 sucks\nI prefer old way", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2023-11-09T07:15:54+0000", + "username": "yimbapchunguk", + "like_count": 11, + "comments_count": 0 + }, + { + "id": "18003786535984507", + "caption": "동기님들 방문해 주셨습니다… 근데 이제 인스피릿을 곁들인", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2023-08-29T17:05:47+0000", + "username": "yimbapchunguk", + "like_count": 20, + "comments_count": 6 + }, + { + "id": "17913183179789753", + "caption": "메타코미디클럽 이선민씨 방문해주셨습니다", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2023-08-05T07:05:01+0000", + "username": "yimbapchunguk", + "like_count": 19, + "comments_count": 1 + }, + { + "id": "17887411151864640", + "caption": "냉우동 맛도리\n커티삭 맛도리", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2023-07-21T03:36:27+0000", + "username": "yimbapchunguk", + "like_count": 17, + "comments_count": 4 + }, + { + "id": "17954969525209194", + "caption": "찬물로 파 씻다가 손구락 얼음", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2023-01-24T13:43:49+0000", + "username": "yimbapchunguk", + "like_count": 22, + "comments_count": 3 + }, + { + "id": "17884996073691257", + "caption": "바쁘다 바뻐 형빈사회\n집에서 밥을 거의 못먹다가 오랜만에 꽤 공들여서 한 저녁\n학회듣고 빨래하고 뭐하고 하다가 10시 반에 겨우 먹음\n후식은 컵누들", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2022-11-15T16:08:58+0000", + "username": "yimbapchunguk", + "like_count": 18, + "comments_count": 3 + }, + { + "id": "17958508052095266", + "caption": "개지리는 카레 레시피 알아냄\n견과류 빻아서 넣으면 맛있음\n나는 구운 캐슈너트 넣었음\n후첨가 버터는 유통기한 지났음\n카레 넣기 전에 이미 국물 지렸음", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2022-10-18T04:22:23+0000", + "username": "yimbapchunguk", + "like_count": 17, + "comments_count": 5 + }, + { + "id": "18313440799027884", + "caption": "많이도 해서 먹었습니다", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2022-08-19T12:06:56+0000", + "username": "yimbapchunguk", + "like_count": 20, + "comments_count": 7 + }, + { + "id": "17910861560562909", + "caption": "간만에 임밥천국이 영업했어요.\n저희 매장 기본찬인 웨지 감자와 봉골레 두접시, 육전 한사바리 요리했습니다.\n+와인 6병 , 어 리를빗 꼬냑\n\n#봉골레 #봉골레파스타 #봉골레맛집 #육전 #육전맛집 #임밥천국", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2022-07-01T15:47:18+0000", + "username": "yimbapchunguk", + "like_count": 19, + "comments_count": 1 + }, + { + "id": "17936239340067834", + "caption": "쌀이 세컵밖에 안남아서 냄비밥을 했다. 냄비밥은 정말 맛있다. \n간만에 소고기먹었다. 소가 맛있는 이유는 자주 못먹어서 인듯ㅋㅋ \n\n#백종원레시피 #소불고기 #냄비밥 #최강록레시피", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2022-06-11T16:23:58+0000", + "username": "yimbapchunguk", + "like_count": 24, + "comments_count": 7 + }, + { + "id": "17928318890256046", + "caption": "오랜만에 손님 맞이로 임밥천국을 개시했읍니다. 꽤나 만족스러운 맛이었읍니다. 문의주세요. 단체 환영.\n\n#골뱅이무침 #부추전 #백종원레시피 #아하부장레시피", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2022-05-08T04:45:29+0000", + "username": "yimbapchunguk", + "like_count": 12, + "comments_count": 4 + }, + { + "id": "17925246794186696", + "caption": "카레는 역시 저 골든 커리가 젤 맛있는듯. 양파 캬라멜라이징 싹 돌리고 소고기 마이야르 촥 굽고 브섯이랑 댕건 스윽 구워서 가니시로 올리면 코코이찌방야 저리 가라야~\n\n#카레 #일본식카레 #골든카레 #goldencurry #임밥천국", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2022-03-19T12:26:32+0000", + "username": "yimbapchunguk", + "like_count": 10, + "comments_count": 16 + }, + { + "id": "17933571104071046", + "caption": "이번 봉골레 실패했다 면발 무슨 칼국수냐? 애들 앞에서 임밥천국 쪽팔리게 에이씨 빡치네 \n\n#봉골레파스타", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2022-03-14T11:16:53+0000", + "username": "yimbapchunguk", + "like_count": 10, + "comments_count": 6 + }, + { + "id": "17916218135489138", + "caption": "토맛토맛토 스파게티는 참 간편해~\n\n#토마토파스타", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2022-03-04T09:41:44+0000", + "username": "yimbapchunguk", + "like_count": 9, + "comments_count": 3 + }, + { + "id": "17930629043024490", + "caption": "백종원 선생님의 콩내물 불게기를 해보았다. 설탕을 넣다 쫌 쏟아서 달달했다. 백선생님 오늘도 감사했습니다… 방구석 제자가 되니 기쁘네요 😎\n\n#백종원레시피 #콩나물불고기 #임밥천국", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2022-02-22T04:13:32+0000", + "username": "yimbapchunguk", + "like_count": 14, + "comments_count": 0 + }, + { + "id": "17982896386458231", + "caption": "설날 기념 잡채를 만들어보았다. 편스토랑에서 어남선생의 레시피를 카피했다. 편하고 맛이 좋았다. 신선하게 시금치 대신 알배추를 넣었다. 달고 담백하니 맛이 좋았다. 하이볼 세잔 먹음. \n\n#편스토랑레시피 #어남선생레시피 #잡채", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2022-02-01T13:38:06+0000", + "username": "yimbapchunguk", + "like_count": 8, + "comments_count": 3 + }, + { + "id": "18184518865091131", + "caption": "닭개장… 어렵고 힘들 것 같나? 그렇다. 두시간을 걸려서 만들었다. 이번엔 msg를 안넣고 만들었고 그래도 맛있었다. 나중에 친구들 오면 만들어서 쏘주랑 먹어야지\n\n#닭개장 #아하부장 #아하부장레시피", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2022-01-27T14:04:40+0000", + "username": "yimbapchunguk", + "like_count": 5, + "comments_count": 4 + }, + { + "id": "17959135507574073", + "caption": "고기 굽기는 아직 서투르다… 코팅 팬을 또 태워버렸어… 설거지는 두렵지만 맛은 아주 맛있었다. 이런 맛이라면 그깟 설거지 백번은 해주마!!!\n\n#돼지고기목살구이 #마이야르 #몬트리올시즈닝", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2022-01-22T14:09:32+0000", + "username": "yimbapchunguk", + "like_count": 5, + "comments_count": 4 + }, + { + "id": "17916204953221655", + "caption": "소고기 무국\n깊다… 냄비가 3m쯤 되려나…? 착각하게 하는 맛 \n백종원이 없는 다른 멀티버스에서 임형빈 너는 뭘 먹고 지내냐?!!!\n#소고기무국 #백종원 #백종원레시피", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2022-01-17T13:39:02+0000", + "username": "yimbapchunguk", + "like_count": 6, + "comments_count": 2 + }, + { + "id": "17949593110651400", + "caption": "제육볶음\n#공격수셰프 #공격수셰프레시피 #제육볶음", + "media_type": "CAROUSEL_ALBUM", + "timestamp": "2022-01-17T10:52:03+0000", + "username": "yimbapchunguk", + "like_count": 2, + "comments_count": 2 + } + ], + "first_media_id": "18007485335525524", + "previous_comments_count": 7 +} \ No newline at end of file diff --git a/agents/management/yim.ipynb b/tests/yim.ipynb similarity index 83% rename from agents/management/yim.ipynb rename to tests/yim.ipynb index 8dc39db..686854d 100644 --- a/agents/management/yim.ipynb +++ b/tests/yim.ipynb @@ -570,10 +570,57 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "import pandas as pd\n", + "df = pd.read_csv('../../test_comments.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "'set' object is not callable", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mTypeError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[7]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[43mdf\u001b[49m\u001b[43m.\u001b[49m\u001b[43mrename\u001b[49m\u001b[43m(\u001b[49m\u001b[43m{\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[33;43mhttps://www.instagram.com/hanr0r0/p/DL1uYy8SRkH/\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[33;43m, \u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[33;43mhanr0r0 3 d도망 라이브 클립 봐 주면 안 되낭?\u001b[39;49m\u001b[33;43m'\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43msource\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/pseudo/Act1-Entertainment/.venv/lib/python3.13/site-packages/pandas/core/frame.py:5774\u001b[39m, in \u001b[36mDataFrame.rename\u001b[39m\u001b[34m(self, mapper, index, columns, axis, copy, inplace, level, errors)\u001b[39m\n\u001b[32m 5643\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mrename\u001b[39m(\n\u001b[32m 5644\u001b[39m \u001b[38;5;28mself\u001b[39m,\n\u001b[32m 5645\u001b[39m mapper: Renamer | \u001b[38;5;28;01mNone\u001b[39;00m = \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[32m (...)\u001b[39m\u001b[32m 5653\u001b[39m errors: IgnoreRaise = \u001b[33m\"\u001b[39m\u001b[33mignore\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 5654\u001b[39m ) -> DataFrame | \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[32m 5655\u001b[39m \u001b[38;5;250m \u001b[39m\u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 5656\u001b[39m \u001b[33;03m Rename columns or index labels.\u001b[39;00m\n\u001b[32m 5657\u001b[39m \n\u001b[32m (...)\u001b[39m\u001b[32m 5772\u001b[39m \u001b[33;03m 4 3 6\u001b[39;00m\n\u001b[32m 5773\u001b[39m \u001b[33;03m \"\"\"\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m5774\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m.\u001b[49m\u001b[43m_rename\u001b[49m\u001b[43m(\u001b[49m\n\u001b[32m 5775\u001b[39m \u001b[43m \u001b[49m\u001b[43mmapper\u001b[49m\u001b[43m=\u001b[49m\u001b[43mmapper\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 5776\u001b[39m \u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[43m=\u001b[49m\u001b[43mindex\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 5777\u001b[39m \u001b[43m \u001b[49m\u001b[43mcolumns\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcolumns\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 5778\u001b[39m \u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[43m=\u001b[49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 5779\u001b[39m \u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[43m=\u001b[49m\u001b[43mcopy\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 5780\u001b[39m \u001b[43m \u001b[49m\u001b[43minplace\u001b[49m\u001b[43m=\u001b[49m\u001b[43minplace\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 5781\u001b[39m \u001b[43m \u001b[49m\u001b[43mlevel\u001b[49m\u001b[43m=\u001b[49m\u001b[43mlevel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 5782\u001b[39m \u001b[43m \u001b[49m\u001b[43merrors\u001b[49m\u001b[43m=\u001b[49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[32m 5783\u001b[39m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/pseudo/Act1-Entertainment/.venv/lib/python3.13/site-packages/pandas/core/generic.py:1132\u001b[39m, in \u001b[36mNDFrame._rename\u001b[39m\u001b[34m(self, mapper, index, columns, axis, copy, inplace, level, errors)\u001b[39m\n\u001b[32m 1125\u001b[39m missing_labels = [\n\u001b[32m 1126\u001b[39m label\n\u001b[32m 1127\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m index, label \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(replacements)\n\u001b[32m 1128\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m indexer[index] == -\u001b[32m1\u001b[39m\n\u001b[32m 1129\u001b[39m ]\n\u001b[32m 1130\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmissing_labels\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m not found in axis\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m-> \u001b[39m\u001b[32m1132\u001b[39m new_index = \u001b[43max\u001b[49m\u001b[43m.\u001b[49m\u001b[43m_transform_index\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlevel\u001b[49m\u001b[43m=\u001b[49m\u001b[43mlevel\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 1133\u001b[39m result._set_axis_nocheck(new_index, axis=axis_no, inplace=\u001b[38;5;28;01mTrue\u001b[39;00m, copy=\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[32m 1134\u001b[39m result._clear_item_cache()\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/pseudo/Act1-Entertainment/.venv/lib/python3.13/site-packages/pandas/core/indexes/base.py:6583\u001b[39m, in \u001b[36mIndex._transform_index\u001b[39m\u001b[34m(self, func, level)\u001b[39m\n\u001b[32m 6581\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mtype\u001b[39m(\u001b[38;5;28mself\u001b[39m).from_arrays(values)\n\u001b[32m 6582\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m6583\u001b[39m items = [\u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m]\n\u001b[32m 6584\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m Index(items, name=\u001b[38;5;28mself\u001b[39m.name, tupleize_cols=\u001b[38;5;28;01mFalse\u001b[39;00m)\n", + "\u001b[31mTypeError\u001b[39m: 'set' object is not callable" + ] + } + ], + "source": [ + "df.rename({\"'https://www.instagram.com/hanr0r0/p/DL1uYy8SRkH/', 'hanr0r0 3 d도망 라이브 클립 봐 주면 안 되낭?'\",\"source\"})" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['https://www.instagram.com/hanr0r0/p/DL1uYy8SRkH/', 'hanr0r0 3 d도망 라이브 클립 봐 주면 안 되낭?'], dtype='object')" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns" + ] }, { "cell_type": "code", diff --git a/uv.lock b/uv.lock index e1662db..f54341d 100644 --- a/uv.lock +++ b/uv.lock @@ -126,6 +126,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/a7/c8/57a4c80e5abec29fa9406307a5277527f21210bfc6c2c61c3d8ded36c09b/blockbuster-1.5.24-py3-none-any.whl", hash = "sha256:e703497b55bc72af09d60d1cd746c2f3ba7ce0c446fa256be6ccda5e7d403520", size = 13214, upload-time = "2025-03-18T10:12:04.802Z" }, ] +[[package]] 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++++++++++++++++--- agents/management/modules/state.py | 10 +- agents/management/workflow.py | 173 +++++++++++++++------------ pyproject.toml | 8 ++ uv.lock | 159 +++--------------------- 6 files changed, 352 insertions(+), 252 deletions(-) diff --git a/agents/management/modules/nodes.py b/agents/management/modules/nodes.py index f914a71..e1eb536 100644 --- a/agents/management/modules/nodes.py +++ b/agents/management/modules/nodes.py @@ -10,16 +10,46 @@ from typing import Dict, Any, List, Optional from dotenv import load_dotenv from datetime import datetime +from pydantic import BaseModel, Field +import sys + +# Add the project root to sys.path to resolve module import issues for internal modules +project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", "..")) +sys.path.append(project_root) from agents.base_node import BaseNode from agents.management.modules.state import ManagementState -from agents.management.modules.prompts import get_instagram_comment_analysis_prompt +from agents.management.modules.prompts import get_instagram_comment_analysis_prompt, get_instagram_analysis_report_prompt from langchain_google_genai import ChatGoogleGenerativeAI from langchain_core.messages import HumanMessage +from langchain_core.utils.function_calling import convert_to_openai_tool load_dotenv(override=True) +class CommentAnalysis(BaseModel): + """A single analyzed Instagram comment.""" + comment: str = Field(description="The original comment text.") + sentiment: str = Field(description="Sentiment of the comment (e.g., '긍정', '부정', '중립').") + comment_type: str = Field(description="Type of the comment (e.g., '팬댓글', '질문', '비판').") + reply_needed: str = Field(description="Whether a reply is needed ('예', '아니오', '고려').") + reason: str = Field(description="Reason for the sentiment, type, and reply_needed assessment.") + +class InstagramCommentsAnalysisOutput(BaseModel): + """The structured output for Instagram comment analysis.""" + comments: List[CommentAnalysis] = Field(description="A list of analyzed Instagram comments.") + +class InstagramAnalysisReportOutput(BaseModel): + """The structured output for an Instagram comments analysis report.""" + report_date: str = Field(description="The date the report was generated (YYYY-MM-DD-HH-MM).") + total_comments_analyzed: int = Field(description="Total number of comments analyzed.") + summary: str = Field(description="A comprehensive summary of the Instagram comments analysis.") + key_insights: List[str] = Field(description="Key insights derived from the comment analysis, e.g., trends, recurring themes.") + sentiment_distribution: Dict[str, int] = Field(description="Distribution of sentiments (e.g., {'긍정': X, '부정': Y, '중립': Z}).") + comment_type_distribution: Dict[str, int] = Field(description="Distribution of comment types (e.g., {'팬댓글': A, '질문': B, '비판': C, '기타': D}).") + reply_needed_breakdown: Dict[str, int] = Field(description="Breakdown of comments needing a reply (e.g., {'예': E, '아니오': F, '고려': G}).") + action_items: List[str] = Field(description="Actionable recommendations for community management based on the analysis.") + class InstagramMediaFetchNode(BaseNode): """ 인스타그램 미디어 정보를 가져오는 노드 @@ -218,35 +248,53 @@ def execute(self, state: ManagementState) -> Dict[str, Any]: prompt_template = get_instagram_comment_analysis_prompt() prompt = prompt_template.format(comments=comments_str) - # LangChain 기반 Gemini LLM 호출 try: - api_key = os.environ.get("GOOGLE_API_KEY") + api_key = state.get("api_key","") if not api_key: return {"response": "GOOGLE_API_KEY 환경변수가 설정되어 있지 않습니다.", "comment_analysis_result": None} + llm = ChatGoogleGenerativeAI(model="gemini-2.5-flash", google_api_key=api_key) - response = llm.invoke([HumanMessage(content=prompt)]) - result_text = response.content if hasattr(response, "content") else str(response) - print(f"[InstagramCommentsAnalysisNode] 분석 결과:\n{result_text}") - state["comment_analysis_result"] = result_text + # Bind the Pydantic model as a tool + response = llm.invoke(prompt) + print(f"LLM Raw Response: {response.content}") + + # Parse the raw JSON string output from the LLM + try: + json_content = response.content + # Remove markdown code block fences if present + if json_content.startswith('```json') and json_content.endswith('```'): + json_content = json_content[len('```json'):-len('```')].strip() + + # Using .model_validate_json for Pydantic v2 + parsed_output = InstagramCommentsAnalysisOutput.model_validate_json(json_content) + except Exception as parse_error: + raise ValueError(f"Failed to parse LLM response as JSON: {parse_error}\nRaw content: {response.content}") + + analysis_result_dict = parsed_output.model_dump() + + print(f"[InstagramCommentsAnalysisNode] 분석 결과:\n{json.dumps(analysis_result_dict, ensure_ascii=False, indent=2)}") + state["comment_analysis_result"] = analysis_result_dict # 분석 결과를 별도 json 파일로 저장 - now_str = datetime.now().isoformat() analysis_file_path = state.get("comment_analysis_file_path") - # 파일이 존재하면 기존 데이터에 추가, 없으면 새로 생성 + if os.path.exists(analysis_file_path): try: with open(analysis_file_path, 'r', encoding='utf-8') as f: analysis_data = json.load(f) except Exception: analysis_data = {} - analysis_data[now_str] = result_text + analysis_data[now_str] = analysis_result_dict else: - analysis_data = {now_str: result_text} + # Ensure the directory exists before writing the file + os.makedirs(os.path.dirname(analysis_file_path), exist_ok=True) + analysis_data = {now_str: analysis_result_dict} + with open(analysis_file_path, 'w', encoding='utf-8') as f: - json.dump(analysis_data, f, ensure_ascii=False, indent=2) + json.dump(analysis_data, f, ensure_ascii=False, indent=2, separators=(',', ': ')) print(f"[InstagramCommentsAnalysisNode] 분석 결과를 {analysis_file_path}에 저장했습니다.") - return {"comment_analysis_result": result_text, "response": "댓글 분석이 완료되었습니다."} + return {"comment_analysis_result": analysis_result_dict, "response": "댓글 분석이 완료되었습니다."} except Exception as e: print(f"[InstagramCommentsAnalysisNode] Gemini 호출 오류: {str(e)}") return {"response": f"Gemini 호출 오류: {str(e)}", "comment_analysis_result": None} @@ -266,3 +314,58 @@ def execute(self, state: ManagementState) -> Dict[str, Any]: return { "response": "댓글 수에 변경이 없습니다. 모니터링을 계속합니다." } + + +class InstagramAnalysisReportNode(BaseNode): + """ + 인스타그램 댓글 분석 보고서를 생성하는 노드 + """ + def execute(self, state: ManagementState) -> Dict[str, Any]: + print(f"🔍 [InstagramAnalysisReportNode] 실행 중...") + report_file_path = state.get("analysis_report_file_path") + + # Load analysis data directly from state + analyzed_data = state.get("comment_analysis_result") + if not analyzed_data: + return {"response": "분석 데이터가 상태에 존재하지 않습니다.", "analysis_report": None} + print(f"📁 [InstagramAnalysisReportNode] 분석 데이터를 상태에서 불러왔습니다.") + + # Prompt LLM for report generation + prompt_template = get_instagram_analysis_report_prompt() + prompt = prompt_template.format(analyzed_data=json.dumps(analyzed_data, ensure_ascii=False, indent=2)) + + try: + api_key = state.get("api_key", "") + if not api_key: + return {"response": "GOOGLE_API_KEY 환경변수가 설정되어 있지 않습니다.", "analysis_report": None} + + llm = ChatGoogleGenerativeAI(model="gemini-2.5-flash", google_api_key=api_key) + response = llm.invoke(prompt) + print(f"LLM Raw Report Response: {response.content}") + + # Parse the raw JSON string output from the LLM + try: + json_content = response.content + if json_content.startswith('```json') and json_content.endswith('```'): + json_content = json_content[len('```json'):-len('```')].strip() + + parsed_report = InstagramAnalysisReportOutput.model_validate_json(json_content) + except Exception as parse_error: + raise ValueError(f"Failed to parse LLM report as JSON: {parse_error}\nRaw content: {response.content}") + + report_dict = parsed_report.model_dump() + report_dict['media_id'] = state.get("user_id","") + + # Save the report to a new JSON file + os.makedirs(os.path.dirname(report_file_path), exist_ok=True) + with open(report_file_path, 'w', encoding='utf-8') as f: + json.dump(report_dict, f, ensure_ascii=False, indent=2, separators=(',', ': ')) + print(f"[InstagramAnalysisReportNode] 분석 보고서를 {report_file_path}에 저장했습니다.") + + return {"analysis_report": report_dict, "response": "분석 보고서 생성이 완료되었습니다." + } + except Exception as e: + print(f"[InstagramAnalysisReportNode] Gemini 호출 또는 보고서 생성 오류: {str(e)}") + return {"response": f"Gemini 호출 또는 보고서 생성 오류: {str(e)}", "analysis_report": None} + + diff --git a/agents/management/modules/prompts.py b/agents/management/modules/prompts.py index 9bb6bdf..4e4fe80 100644 --- a/agents/management/modules/prompts.py +++ b/agents/management/modules/prompts.py @@ -7,6 +7,8 @@ """ from langchain_core.prompts import PromptTemplate +from pydantic import BaseModel, Field +from typing import List, Dict def get_resource_planning_prompt(): @@ -88,32 +90,119 @@ def get_resource_planning_prompt(): def get_instagram_comment_analysis_prompt(): """ - Returns a prompt template for analyzing Instagram comments in English. - The prompt asks for: - 1. Overall sentiment (positive/negative/neutral ratio) - 2. Main issues or discussion topics - 3. Representative examples of positive/negative/neutral comments (one each) - 4. General atmosphere and characteristics of the comments - 5. Any additional noteworthy points + Returns a prompt template for analyzing Instagram comments for a singer-songwriter artist management. + The prompt analyzes each comment for: + 1. Sentiment analysis (Positive/Negative) + 2. Comment type identification (advertisement, hate comment, fan comment, etc.) + 3. Whether a reply is needed Input: comments (list of comment texts) - Output: English summary/analysis + Output: Structured analysis for effective community management. """ - comment_analysis_template = """Below is a list of comments from an Instagram post. Please analyze these comments and summarize the following information in English: - -1. Overall sentiment (ratio of positive/negative/neutral) -2. Main issues or discussion topics -3. Representative examples of positive, negative, and neutral comments (one each) -4. The general atmosphere and characteristics of the comments -5. Any additional noteworthy points + comment_analysis_template = """You are an Instagram management agent for a singer-songwriter artist. Analyze each comment from the Instagram post and provide detailed insights for effective community management. + +For each comment, analyze: +1. SENTIMENT: Determine if the comment is Positive (P) or Negative (N) +2. COMMENT TYPE: Identify the type of comment: + - Fan comment: Supportive, encouraging, or appreciative + - Advertisement/Spam: Promotional content, unrelated links, or spam + - Hate comment: Malicious, offensive, or harmful content + - Question: Asking about music, schedule, or personal matters + - Criticism: Constructive or destructive feedback + - Other: Any other type +3. REPLY NEEDED: Determine if the artist or management should reply: + - "Yes": For questions, constructive criticism, or important fan comments + - "No": For spam, hate comments, or simple appreciation comments + - "Consider": For borderline cases that might need attention Comment List: {comments} -Analysis: - -Translate all your output to Korean.""" +Provide your analysis as a JSON string that strictly adheres to the following structure. The JSON should contain a single key `comments`, which is a list of analyzed comment dictionaries. Each comment dictionary must include the keys: `comment`, `sentiment`, `comment_type`, `reply_needed`, and `reason`. All values for `sentiment`, `comment_type`, `reply_needed`, and `reason` must be in Korean. + +Example JSON format: +```json +{{ + "comments": [ + {{ + "comment": "Original comment text", + "sentiment": "긍정", + "comment_type": "팬댓글", + "reply_needed": "예", + "reason": "Reason for assessment" + }} + ] +}} +``` +""" return PromptTemplate( template=comment_analysis_template, input_variables=["comments"], ) + + +def get_instagram_analysis_report_prompt(): + """ + Returns a prompt template for generating an Instagram comments analysis report. + The prompt takes analyzed comment data as input and generates a structured report. + """ + report_template = """You are an expert Instagram analyst. Based on the provided Instagram comments analysis data, generate a comprehensive analysis report. + +The data is a JSON object where keys are timestamps and values are dictionaries containing a 'comments' list. Each comment in the 'comments' list has 'comment', 'sentiment', 'comment_type', 'reply_needed', and 'reason' fields. + +Analyzed Comments Data: +{analyzed_data} + +Your report must be a JSON string that strictly adheres to the `InstagramAnalysisReportOutput` schema. The JSON should contain the following keys: +- `report_date`: Current date in YYYY-MM-DD format. +- `total_comments_analyzed`: Total number of comments processed in the provided data. +- `summary`: A comprehensive summary of the overall sentiment and key themes. +- `key_insights`: A list of 3-5 key insights, trends, or recurring themes from the comments. +- `sentiment_distribution`: An object showing the count for each sentiment (긍정, 부정, 중립). +- `comment_type_distribution`: An object showing the count for each comment type (팬댓글, 광고/스팸, 악성댓글, 질문, 비판, 기타). +- `reply_needed_breakdown`: An object showing the count for each reply_needed status (예, 아니오, 고려). +- `action_items`: A list of 3-5 actionable recommendations for community management based on your analysis. + +Ensure all text values are in Korean. The output must be a single JSON object. + +Example JSON format: +```json +{{ + "report_date": "2024-07-27-03-10", + "total_comments_analyzed": 100, + "summary": "전반적으로 긍정적인 팬덤 반응을 보이며, 일부 질문과 개선점에 대한 의견이 있었습니다.", + "key_insights": [ + "아티스트에 대한 강한 지지와 애정 표현이 많음", + "신곡 및 활동 계획에 대한 팬들의 궁금증 증가", + "일부 비판적 의견은 건설적인 방향으로 제시됨" + ], + "sentiment_distribution": {{ + "긍정": 80, + "부정": 10, + "중립": 10 + }}, + "comment_type_distribution": {{ + "팬댓글": 70, + "질문": 15, + "비판": 5, + "광고/스팸": 5, + "악성댓글": 2, + "기타": 3 + }}, + "reply_needed_breakdown": {{ + "예": 20, + "아니오": 70, + "고려": 10 + }}, + "action_items": [ + "팬들의 질문에 대한 FAQ 문서 업데이트", + "긍정적인 팬 댓글에 주기적으로 감사 댓글 남기기", + "비판적 의견에 대한 내부 검토 및 개선 방안 마련" + ] +}} +``` +""" + return PromptTemplate( + template=report_template, + input_variables=["analyzed_data"], + ) diff --git a/agents/management/modules/state.py b/agents/management/modules/state.py index e4e6d5d..8b71c83 100644 --- a/agents/management/modules/state.py +++ b/agents/management/modules/state.py @@ -8,7 +8,6 @@ from langgraph.graph.message import add_messages - class ManagementState(TypedDict): """ 인스타그램 API 워크플로우의 상태를 정의하는 TypedDict 클래스 @@ -17,10 +16,11 @@ class ManagementState(TypedDict): LangGraph의 상태 관리를 위한 클래스로, Workflow 내에서 처리되는 데이터의 형태와 구조를 지정합니다. """ - access_token: str # 인스타그램 액세스 토큰 + access_token: str # 인스타그램 액세스 토큰 + api_key: str # google api key user_id: str # 인스타그램 사용자 ID - comment_file_path: str # JSON 파일 경로 - comment_analysis_file_path:str + comment_file_path: str # JSON 파일 경로 + comment_analysis_file_path: str media_data: Optional[List[Dict[str, Any]]] # 미디어 데이터 목록 first_media_id: Optional[str] # 첫 번째 미디어 ID current_comments_count: Optional[int] # 현재 댓글 수 @@ -32,3 +32,5 @@ class ManagementState(TypedDict): List[Any], add_messages ] # 응답 메시지 목록 (add_messages로 주석되어 메시지 추가 기능 제공) comment_analysis_result: Optional[Any] # 댓글 분석 결과 + analysis_report_file_path: Optional[str] # 분석 보고서 파일 경로 + analysis_report: Optional[Any] # 분석 보고서 결과 diff --git a/agents/management/workflow.py b/agents/management/workflow.py index 66a35bf..0462ab1 100644 --- a/agents/management/workflow.py +++ b/agents/management/workflow.py @@ -6,7 +6,8 @@ InstagramMediaFetchNode, InstagramCommentsFetchNode, NoChangeNode, - InstagramCommentsAnalysisNode + InstagramCommentsAnalysisNode, + InstagramAnalysisReportNode ) from agents.management.modules.state import ManagementState from langchain.utils.env import get_from_env @@ -14,7 +15,7 @@ import schedule import time -ACCESS_TOKEN = get_from_env("instagram_api_key","INSTAGRAM_API_KEY") + class ManagementWorkflow(BaseWorkflow): """ @@ -45,6 +46,7 @@ def build(self): builder.add_node("comments_fetch", InstagramCommentsFetchNode()) builder.add_node("analysis", InstagramCommentsAnalysisNode()) builder.add_node("no_change", NoChangeNode()) + builder.add_node("generate_report", InstagramAnalysisReportNode()) # 시작 노드에서 미디어 가져오기 노드로 연결 builder.add_edge("__start__", "media_fetch") @@ -62,7 +64,8 @@ def build(self): # 댓글 가져오기 노드에서 분석 노드로, 분석 노드에서 종료 builder.add_edge("comments_fetch", "analysis") - builder.add_edge("analysis", "__end__") + builder.add_edge("analysis", "generate_report") # Connect analysis to report node + builder.add_edge("generate_report", "__end__") # Connect report node to end workflow = builder.compile() # 그래프 컴파일 workflow.name = self.name # Workflow 이름 설정 @@ -86,6 +89,9 @@ def _should_fetch_comments(self, state: ManagementState) -> str: print(f"🔄 [Router] API 오류 감지 → api_error 경로 선택") return "api_error" + # For testing purposes, force fetch_comments + # return "fetch_comments" + has_changes = state.get("has_changes", False) if has_changes: @@ -96,87 +102,104 @@ def _should_fetch_comments(self, state: ManagementState) -> str: return "no_change" -# 관리 Workflow 인스턴스 생성 -management_workflow = ManagementWorkflow(ManagementState) - - -USER_ID = "17841451140542851" -run_count = 0 # 전역 실행 카운터 +# def test_instagram_workflow(): +# USER_ID = "17841451140542851" -def test_instagram_workflow(): - global run_count - run_count += 1 - print(f"\n===== {run_count}번째 실행 =====") - """ - 인스타그램 워크플로우를 테스트합니다. - """ - # 인스타그램 API 인증 정보 (실제 값으로 교체 필요) - access_token = ACCESS_TOKEN # 실제 액세스 토큰으로 교체 - user_id = USER_ID # 실제 사용자 ID로 교체 +# global run_count +# run_count += 1 +# print(f"\n===== {run_count}번째 실행 =====") +# """ +# 인스타그램 워크플로우를 테스트합니다. +# """ +# # 인스타그램 API 인증 정보 (실제 값으로 교체 필요) +# access_token = ACCESS_TOKEN # 실제 액세스 토큰으로 교체 +# user_id = USER_ID # 실제 사용자 ID로 교체 - # 초기 상태 설정 - initial_state = { - "access_token": access_token, - "user_id": user_id, - "comment_file_path": "instagram_data.json", - "comment_analysis_file_path": "instagram_data_analysis.json", - "json_data": None, # JSON 파일에 저장할 데이터 - "response": [] - } +# # 초기 상태 설정 +# initial_state = { +# "access_token": access_token, +# "user_id": user_id, +# "comment_file_path": "./data/instagram_data.json", +# "comment_analysis_file_path": "./data/instagram_data_analysis.json", +# "json_data": None, # JSON 파일에 저장할 데이터 +# "response": [] +# } - try: - # 워크플로우 실행 - print("인스타그램 워크플로우를 시작합니다...") - - # 워크플로우 빌드 - workflow = management_workflow.build() - - # 워크플로우 실행 - result = workflow.invoke(initial_state) - - # 결과 출력 - print("\n=== 워크플로우 실행 결과 ===") - for message in result.get("response", []): - if hasattr(message, 'content'): - print(f"응답: {message.content}") - else: - print(f"응답: {message}") - - # 상태 정보 출력 - print(f"\n=== 상태 정보 ===") - print(f"미디어 데이터 개수: {len(result.get('media_data', []))}") - print(f"첫 번째 미디어 ID: {result.get('first_media_id')}") - print(f"현재 댓글 수: {result.get('current_comments_count')}") - print(f"이전 댓글 수: {result.get('previous_comments_count')}") - print(f"변경 여부: {result.get('has_changes')}") - - if result.get('comments_data'): - print(f"댓글 데이터 개수: {len(result.get('comments_data', []))}") +# try: +# # 워크플로우 실행 +# print("인스타그램 워크플로우를 시작합니다...") - # API 오류 체크 - response_text = str(result.get("response", [])) - if "API 요청에 실패했습니다" in response_text or "Invalid OAuth access token" in response_text: - print(f"\n⚠️ API 오류가 발생했습니다. 토큰을 확인해주세요.") - print(f" - 토큰이 만료되었을 수 있습니다.") - print(f" - 토큰이 올바른지 확인해주세요.") - print(f" - 인스타그램 API 권한을 확인해주세요.") +# # 워크플로우 빌드 +# workflow = management_workflow.build() + +# # 워크플로우 실행 +# result = workflow.invoke(initial_state) - except Exception as e: - print(f"워크플로우 실행 중 오류 발생: {str(e)}") +# # 결과 출력 +# print("\n=== 워크플로우 실행 결과 ===") +# for message in result.get("response", []): +# if hasattr(message, 'content'): +# print(f"응답: {message.content}") +# else: +# print(f"응답: {message}") + +# # 상태 정보 출력 +# print(f"\n=== 상태 정보 ===") +# print(f"미디어 데이터 개수: {len(result.get('media_data', []))}") +# print(f"첫 번째 미디어 ID: {result.get('first_media_id')}") +# print(f"현재 댓글 수: {result.get('current_comments_count')}") +# print(f"이전 댓글 수: {result.get('previous_comments_count')}") +# print(f"변경 여부: {result.get('has_changes')}") + +# if result.get('comments_data'): +# print(f"댓글 데이터 개수: {len(result.get('comments_data', []))}") + +# # API 오류 체크 +# response_text = str(result.get("response", [])) +# if "API 요청에 실패했습니다" in response_text or "Invalid OAuth access token" in response_text: +# print(f"\n⚠️ API 오류가 발생했습니다. 토큰을 확인해주세요.") +# print(f" - 토큰이 만료되었을 수 있습니다.") +# print(f" - 토큰이 올바른지 확인해주세요.") +# print(f" - 인스타그램 API 권한을 확인해주세요.") + +# except Exception as e: +# print(f"워크플로우 실행 중 오류 발생: {str(e)}") -def run_scheduler(): - # 10분마다 워크플로우 실행 - schedule.every(1).minutes.do(test_instagram_workflow) - # 또는 매 1시간마다: schedule.every().hour.do(test_instagram_workflow) +# def run_scheduler(): +# # 10분마다 워크플로우 실행 +# schedule.every(1).minutes.do(test_instagram_workflow) +# # 또는 매 1시간마다: schedule.every().hour.do(test_instagram_workflow) - print("스케줄러가 시작되었습니다. (Ctrl+C로 종료)") - while True: - schedule.run_pending() - time.sleep(1) +# print("스케줄러가 시작되었습니다. (Ctrl+C로 종료)") +# while True: +# schedule.run_pending() +# time.sleep(1) + +management_workflow = ManagementWorkflow(ManagementState) if __name__ == "__main__": - # run_scheduler() - test_instagram_workflow() \ No newline at end of file + + # run_count = 0 + # # run_scheduler() + # test_instagram_workflow() + workflow = management_workflow.build() + + ACCESS_TOKEN = get_from_env("instagram_api_key","INSTAGRAM_API_KEY") + API_KEY = get_from_env("google_api_key","GOOGLE_API_KEY") + USER_ID = "17841451140542851" + + initial_state = { + "access_token": ACCESS_TOKEN, + "user_id": USER_ID, + "api_key": API_KEY, + "comment_file_path": "./data/instagram_data.json", + "comment_analysis_file_path": "./data/instagram_data_analysis.json", + "analysis_report_file_path": "./data/analysis_report.json", + "json_data": None, + "response": [] + } + result = workflow.invoke(initial_state) + print(result) diff --git a/pyproject.toml b/pyproject.toml index 4ac26a9..159b4e3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -9,8 +9,16 @@ dependencies = [ "langgraph>=0.3.27", "langchain-community>=0.2.17", "python-dotenv>=1.0.1", + "langchain-google-genai>=2.1.8", + "pandas>=2.3.1", + "schedule>=1.2.2", + "ipykernel>=6.29.5", + "pydantic>=2.0.0", ] +[tool.setuptools.packages.find] +include = ["agents*"] + [dependency-groups] dev = [ "ipykernel>=6.29.5", diff --git a/uv.lock b/uv.lock index f54341d..7d0ba4e 100644 --- a/uv.lock +++ b/uv.lock @@ -4,11 +4,8 @@ requires-python = ">=3.13" [manifest] members = [ - 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