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Browse files- api/Dockerfile +0 -13
- api/app.py +0 -157
- api/requirements.txt +0 -3
api/Dockerfile
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FROM python:3.11-slim
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WORKDIR /app
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COPY api/requirements.txt /app/requirements.txt
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RUN pip install --no-cache-dir -r /app/requirements.txt
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COPY api /app/api
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COPY data /app/data
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EXPOSE 7860
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CMD ["uvicorn", "api.app:app", "--host", "0.0.0.0", "--port", "7860"]
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api/app.py
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from pathlib import Path
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import sqlite3
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from typing import Optional
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import pandas as pd
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from fastapi import FastAPI, Query
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from fastapi.middleware.cors import CORSMiddleware
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app = FastAPI(title="Green Energy News API", version="1.0.0")
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# SQLite stays in the same repo position
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BASE_DIR = Path(__file__).resolve().parent.parent
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DB_PATH = BASE_DIR / "data" / "news.db"
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # tighten later if needed
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allow_credentials=False,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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def get_connection() -> sqlite3.Connection:
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return sqlite3.connect(DB_PATH)
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@app.get("/health")
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def health():
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return {
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"status": "ok",
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"db_exists": DB_PATH.exists(),
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"db_path": str(DB_PATH),
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}
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@app.get("/labels")
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def get_labels():
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conn = get_connection()
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query = """
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SELECT DISTINCT label
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FROM classified_articles
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WHERE label IS NOT NULL
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ORDER BY label
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"""
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df = pd.read_sql_query(query, conn)
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conn.close()
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return df["label"].dropna().tolist()
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@app.get("/sources")
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def get_sources():
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conn = get_connection()
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query = """
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SELECT DISTINCT source
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FROM classified_articles
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WHERE source IS NOT NULL
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ORDER BY source
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"""
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df = pd.read_sql_query(query, conn)
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conn.close()
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return df["source"].dropna().tolist()
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@app.get("/summary/daily-actions")
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def daily_actions(
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start_date: Optional[str] = None,
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end_date: Optional[str] = None,
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):
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conn = get_connection()
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query = """
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SELECT
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date(published_at) AS day,
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label,
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COUNT(*) AS count
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FROM classified_articles
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WHERE 1=1
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"""
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params = []
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if start_date:
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query += " AND date(published_at) >= date(?)"
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params.append(start_date)
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if end_date:
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query += " AND date(published_at) <= date(?)"
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params.append(end_date)
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query += """
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GROUP BY date(published_at), label
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ORDER BY day ASC, label ASC
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"""
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df = pd.read_sql_query(query, conn, params=params)
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conn.close()
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return df.to_dict(orient="records")
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@app.get("/articles")
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def get_articles(
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label: Optional[str] = None,
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source: Optional[str] = None,
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start_date: Optional[str] = None,
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end_date: Optional[str] = None,
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search: Optional[str] = None,
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limit: int = Query(50, ge=1, le=500),
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offset: int = Query(0, ge=0),
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):
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conn = get_connection()
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query = """
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SELECT
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article_id,
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title,
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description,
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clean_text,
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label,
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raw_label,
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source,
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url,
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published_at,
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classified_at
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FROM classified_articles
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WHERE 1=1
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"""
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params = []
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if label:
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query += " AND label = ?"
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params.append(label)
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if source:
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query += " AND source = ?"
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params.append(source)
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if start_date:
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query += " AND date(published_at) >= date(?)"
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params.append(start_date)
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if end_date:
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query += " AND date(published_at) <= date(?)"
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params.append(end_date)
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if search:
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query += " AND (lower(title) LIKE ? OR lower(description) LIKE ?)"
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pattern = f"%{search.lower()}%"
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params.extend([pattern, pattern])
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query += " ORDER BY published_at DESC LIMIT ? OFFSET ?"
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params.extend([limit, offset])
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df = pd.read_sql_query(query, conn, params=params)
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conn.close()
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return df.to_dict(orient="records")
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api/requirements.txt
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fastapi==0.110.0
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uvicorn==0.29.0
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pandas==2.2.2
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