Spaces:
Running
Running
adding database functionality
Browse files- .gitignore +54 -4
- app/main.py +17 -3
- app/routers/analyze.py +31 -5
- package-lock.json +802 -0
- package.json +5 -0
- requirements.txt +4 -2
- tests/test_supabase.py +75 -0
.gitignore
CHANGED
@@ -1,5 +1,55 @@
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-
#
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__pycache__/
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*.
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*.
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# Virtual Environment
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venv/
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env/
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ENV/
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# IDE
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.idea/
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.vscode/
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*.swp
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*.swo
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# Local configuration
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local_config.properties
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.env
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.env.local
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# Logs
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*.log
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# Coverage reports
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htmlcov/
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.tox/
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.coverage
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.coverage.*
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.cache
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coverage.xml
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*.cover
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# Node
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node_modules/
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npm-debug.log
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yarn-debug.log
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yarn-error.log
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app/main.py
CHANGED
@@ -1,22 +1,36 @@
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from app.routers import analyze, health
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app = FastAPI(title="MediaUnmasked API")
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# ✅ Enable CORS for Swagger UI
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # Allow all origins (or specify ["http://localhost:7860"])
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allow_credentials=True,
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allow_methods=["*"], # Allow all methods
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allow_headers=["*"], # Allow all headers
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)
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#
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app.include_router(analyze.router, prefix="/api")
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app.include_router(health.router, prefix="/health")
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@app.get("/")
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async def root():
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return {"message": "MediaUnmasked API is running!"}
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import os
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from supabase import create_client
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from app.routers import analyze, health
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# FastAPI app setup
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app = FastAPI(title="MediaUnmasked API")
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# ✅ Enable CORS for Swagger UI
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # Allow all origins (or specify ["http://localhost:7860"] for local testing)
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allow_credentials=True,
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allow_methods=["*"], # Allow all methods
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allow_headers=["*"], # Allow all headers
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)
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# Initialize Supabase connection
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SUPABASE_URL = os.getenv("SUPABASE_URL")
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SUPABASE_KEY = os.getenv("SUPABASE_KEY")
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if SUPABASE_URL and SUPABASE_KEY:
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supabase = create_client(SUPABASE_URL, SUPABASE_KEY)
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print("Connected to Supabase successfully!")
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else:
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print("Supabase connection failed. Please check your secrets.")
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# Include routers for analysis and health
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app.include_router(analyze.router, prefix="/api")
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app.include_router(health.router, prefix="/health")
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# Test root endpoint to confirm the API is running
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@app.get("/")
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async def root():
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return {"message": "MediaUnmasked API is running!"}
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app/routers/analyze.py
CHANGED
@@ -2,6 +2,8 @@ from fastapi import APIRouter, HTTPException
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from pydantic import BaseModel, HttpUrl
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from typing import Dict, Any, List
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import logging
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from mediaunmasked.scrapers.article_scraper import ArticleScraper
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from mediaunmasked.analyzers.scoring import MediaScorer
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scraper = ArticleScraper()
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scorer = MediaScorer()
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class ArticleRequest(BaseModel):
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url: HttpUrl
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try:
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logger.info(f"Analyzing article: {request.url}")
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# Scrape article
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article = scraper.scrape_article(str(request.url))
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if not article:
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logger.info(f"media_unmasked_score type: {type(analysis['media_unmasked_score'])}")
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logger.info(f"media_unmasked_score value: {analysis['media_unmasked_score']}")
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-
#
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response_dict = {
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"headline": str(article['headline']),
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"content": str(article['content']),
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}
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}
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#
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return AnalysisResponse.parse_obj(response_dict)
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except Exception as e:
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}
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}
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}
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return AnalysisResponse.parse_obj(mock_analysis)
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from pydantic import BaseModel, HttpUrl
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from typing import Dict, Any, List
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import logging
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import os
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from supabase import create_client
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from mediaunmasked.scrapers.article_scraper import ArticleScraper
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from mediaunmasked.analyzers.scoring import MediaScorer
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scraper = ArticleScraper()
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scorer = MediaScorer()
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# Initialize Supabase connection
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SUPABASE_URL = os.getenv("SUPABASE_URL")
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SUPABASE_KEY = os.getenv("SUPABASE_KEY")
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supabase = create_client(SUPABASE_URL, SUPABASE_KEY)
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class ArticleRequest(BaseModel):
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url: HttpUrl
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try:
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logger.info(f"Analyzing article: {request.url}")
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# Check if the article has already been analyzed
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existing_article = supabase.table('article_analysis').select('*').eq('url', str(request.url)).execute()
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if existing_article.status_code == 200 and existing_article.data:
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logger.info("Article already analyzed. Returning cached data.")
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# Return the existing analysis result if it exists
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cached_data = existing_article.data[0]
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return AnalysisResponse.parse_obj(cached_data)
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# Scrape article
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article = scraper.scrape_article(str(request.url))
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if not article:
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logger.info(f"media_unmasked_score type: {type(analysis['media_unmasked_score'])}")
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logger.info(f"media_unmasked_score value: {analysis['media_unmasked_score']}")
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# Prepare response data
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response_dict = {
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"headline": str(article['headline']),
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"content": str(article['content']),
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}
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}
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# Save the new analysis to Supabase
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supabase.table('article_analysis').upsert({
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'url': str(request.url),
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'headline': response_dict['headline'],
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'content': response_dict['content'],
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'sentiment': response_dict['sentiment'],
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'bias': response_dict['bias'],
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'bias_score': response_dict['bias_score'],
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'bias_percentage': response_dict['bias_percentage'],
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'flagged_phrases': response_dict['flagged_phrases'],
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'media_score': response_dict['media_score']
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}).execute()
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# Return the response
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return AnalysisResponse.parse_obj(response_dict)
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except Exception as e:
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}
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}
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}
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return AnalysisResponse.parse_obj(mock_analysis)
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package-lock.json
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"strip-ansi": "^7.0.1"
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"engines": {
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},
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"funding": {
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"url": "https://github.com/chalk/wrap-ansi?sponsor=1"
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}
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},
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"node_modules/wrap-ansi-cjs": {
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"name": "wrap-ansi",
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"version": "7.0.0",
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"resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz",
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"integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==",
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"license": "MIT",
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"dependencies": {
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"ansi-styles": "^4.0.0",
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"string-width": "^4.1.0",
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"strip-ansi": "^6.0.0"
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},
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"engines": {
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"node": ">=10"
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},
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"funding": {
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"url": "https://github.com/chalk/wrap-ansi?sponsor=1"
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}
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},
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"node_modules/wrap-ansi-cjs/node_modules/ansi-regex": {
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"version": "5.0.1",
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"resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz",
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"integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==",
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"license": "MIT",
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"engines": {
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"node": ">=8"
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}
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},
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"node_modules/wrap-ansi-cjs/node_modules/ansi-styles": {
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"version": "4.3.0",
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"resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz",
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"integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==",
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"license": "MIT",
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"dependencies": {
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"color-convert": "^2.0.1"
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"engines": {
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"funding": {
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"url": "https://github.com/chalk/ansi-styles?sponsor=1"
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}
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746 |
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},
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747 |
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"node_modules/wrap-ansi-cjs/node_modules/emoji-regex": {
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"version": "8.0.0",
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"resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
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751 |
+
"license": "MIT"
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+
},
|
753 |
+
"node_modules/wrap-ansi-cjs/node_modules/string-width": {
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"version": "4.2.3",
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"resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
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"integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
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757 |
+
"license": "MIT",
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758 |
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"dependencies": {
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759 |
+
"emoji-regex": "^8.0.0",
|
760 |
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"is-fullwidth-code-point": "^3.0.0",
|
761 |
+
"strip-ansi": "^6.0.1"
|
762 |
+
},
|
763 |
+
"engines": {
|
764 |
+
"node": ">=8"
|
765 |
+
}
|
766 |
+
},
|
767 |
+
"node_modules/wrap-ansi-cjs/node_modules/strip-ansi": {
|
768 |
+
"version": "6.0.1",
|
769 |
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"resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
|
770 |
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"integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
|
771 |
+
"license": "MIT",
|
772 |
+
"dependencies": {
|
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"ansi-regex": "^5.0.1"
|
774 |
+
},
|
775 |
+
"engines": {
|
776 |
+
"node": ">=8"
|
777 |
+
}
|
778 |
+
},
|
779 |
+
"node_modules/write-file-atomic": {
|
780 |
+
"version": "6.0.0",
|
781 |
+
"resolved": "https://registry.npmjs.org/write-file-atomic/-/write-file-atomic-6.0.0.tgz",
|
782 |
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|
783 |
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"license": "ISC",
|
784 |
+
"dependencies": {
|
785 |
+
"imurmurhash": "^0.1.4",
|
786 |
+
"signal-exit": "^4.0.1"
|
787 |
+
},
|
788 |
+
"engines": {
|
789 |
+
"node": "^18.17.0 || >=20.5.0"
|
790 |
+
}
|
791 |
+
},
|
792 |
+
"node_modules/yallist": {
|
793 |
+
"version": "5.0.0",
|
794 |
+
"resolved": "https://registry.npmjs.org/yallist/-/yallist-5.0.0.tgz",
|
795 |
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"integrity": "sha512-YgvUTfwqyc7UXVMrB+SImsVYSmTS8X/tSrtdNZMImM+n7+QTriRXyXim0mBrTXNeqzVF0KWGgHPeiyViFFrNDw==",
|
796 |
+
"license": "BlueOak-1.0.0",
|
797 |
+
"engines": {
|
798 |
+
"node": ">=18"
|
799 |
+
}
|
800 |
+
}
|
801 |
+
}
|
802 |
+
}
|
package.json
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"dependencies": {
|
3 |
+
"supabase": "^2.12.1"
|
4 |
+
}
|
5 |
+
}
|
requirements.txt
CHANGED
@@ -2,8 +2,8 @@ fastapi[all]==0.109.2
|
|
2 |
uvicorn==0.27.1
|
3 |
pydantic==2.6.1
|
4 |
beautifulsoup4==4.12.3
|
5 |
-
requests
|
6 |
-
python-dotenv
|
7 |
textblob==0.17.1
|
8 |
nltk==3.8.1
|
9 |
transformers==4.36.2
|
@@ -12,3 +12,5 @@ numpy==1.26.3
|
|
12 |
pytest==7.4.3
|
13 |
pytest-asyncio==0.21.1
|
14 |
httpx==0.25.2
|
|
|
|
|
|
2 |
uvicorn==0.27.1
|
3 |
pydantic==2.6.1
|
4 |
beautifulsoup4==4.12.3
|
5 |
+
requests>=2.31.0
|
6 |
+
python-dotenv>=1.0.0
|
7 |
textblob==0.17.1
|
8 |
nltk==3.8.1
|
9 |
transformers==4.36.2
|
|
|
12 |
pytest==7.4.3
|
13 |
pytest-asyncio==0.21.1
|
14 |
httpx==0.25.2
|
15 |
+
supabase>=2.0.0
|
16 |
+
configparser>=6.0.0
|
tests/test_supabase.py
ADDED
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import configparser
|
2 |
+
from supabase import create_client
|
3 |
+
|
4 |
+
# Read the properties file
|
5 |
+
config = configparser.ConfigParser()
|
6 |
+
config.read('local_config.properties')
|
7 |
+
|
8 |
+
# Extract values from the properties file
|
9 |
+
SUPABASE_URL = config.get('DEFAULT', 'SUPABASE_URL')
|
10 |
+
SUPABASE_KEY = config.get('DEFAULT', 'SUPABASE_KEY')
|
11 |
+
|
12 |
+
# Initialize Supabase client
|
13 |
+
supabase = create_client(SUPABASE_URL, SUPABASE_KEY)
|
14 |
+
|
15 |
+
# Test data to insert and update
|
16 |
+
test_url = "https://www.straitstimes.com/world/united-states/us-senate-confirms-trump-loyalist-kash-patel-to-head-fbi"
|
17 |
+
test_headline = "US Senate confirms Trump loyalist Kash Patel to head FBI"
|
18 |
+
test_content = "This is some test content for the article."
|
19 |
+
|
20 |
+
# 1. Insert data into the 'article_analysis' table
|
21 |
+
def insert_data():
|
22 |
+
try:
|
23 |
+
response = supabase.table('article_analysis').upsert({
|
24 |
+
'url': test_url,
|
25 |
+
'headline': test_headline,
|
26 |
+
'content': test_content,
|
27 |
+
'sentiment': 'Neutral',
|
28 |
+
'bias': 'Neutral',
|
29 |
+
'bias_score': 0.0,
|
30 |
+
'bias_percentage': 0.0,
|
31 |
+
'flagged_phrases': [],
|
32 |
+
'media_score': {
|
33 |
+
'media_unmasked_score': 75.0,
|
34 |
+
'rating': 'Neutral',
|
35 |
+
'details': {
|
36 |
+
'headline_analysis': {'headline_vs_content_score': 50},
|
37 |
+
'sentiment_analysis': {'sentiment': 'Neutral'},
|
38 |
+
'bias_analysis': {'bias': 'Neutral'},
|
39 |
+
'evidence_analysis': {'evidence_based_score': 80.0}
|
40 |
+
}
|
41 |
+
}
|
42 |
+
}).execute()
|
43 |
+
print("Data inserted successfully")
|
44 |
+
print(f"Response data: {response.data}")
|
45 |
+
except Exception as e:
|
46 |
+
print(f"Error inserting data: {str(e)}")
|
47 |
+
|
48 |
+
# 2. Update data (e.g., changing the sentiment)
|
49 |
+
def update_data():
|
50 |
+
try:
|
51 |
+
updated_sentiment = "Positive"
|
52 |
+
response = supabase.table('article_analysis').upsert({
|
53 |
+
'url': test_url,
|
54 |
+
'sentiment': updated_sentiment # Update only the sentiment field
|
55 |
+
}).execute()
|
56 |
+
print("Data updated successfully")
|
57 |
+
print(f"Response data: {response.data}")
|
58 |
+
except Exception as e:
|
59 |
+
print(f"Error updating data: {str(e)}")
|
60 |
+
|
61 |
+
# 3. Retrieve data by URL
|
62 |
+
def retrieve_data():
|
63 |
+
try:
|
64 |
+
result = supabase.table('article_analysis').select('*').eq('url', test_url).execute()
|
65 |
+
if result.data:
|
66 |
+
print(f"Retrieved data: {result.data}")
|
67 |
+
else:
|
68 |
+
print("No data found for the given URL")
|
69 |
+
except Exception as e:
|
70 |
+
print(f"Error retrieving data: {str(e)}")
|
71 |
+
|
72 |
+
# Run the tests: Insert, Update, and Retrieve data
|
73 |
+
insert_data()
|
74 |
+
update_data()
|
75 |
+
retrieve_data()
|