Upload 3 files

Dockerfile

@@ -0,0 +1,13 @@
+FROM python:3.11-slim
+
+WORKDIR /app
+
+COPY api/requirements.txt /app/requirements.txt
+RUN pip install --no-cache-dir -r /app/requirements.txt
+
+COPY api /app/api
+COPY data /app/data
+
+EXPOSE 7860
+
+CMD ["uvicorn", "api.app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

@@ -0,0 +1,157 @@
+from pathlib import Path
+import sqlite3
+from typing import Optional
+
+import pandas as pd
+from fastapi import FastAPI, Query
+from fastapi.middleware.cors import CORSMiddleware
+
+app = FastAPI(title="Green Energy News API", version="1.0.0")
+
+# SQLite stays in the same repo position
+BASE_DIR = Path(__file__).resolve().parent.parent
+DB_PATH = BASE_DIR / "data" / "news.db"
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],  # tighten later if needed
+    allow_credentials=False,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+def get_connection() -> sqlite3.Connection:
+    return sqlite3.connect(DB_PATH)
+
+
+@app.get("/health")
+def health():
+    return {
+        "status": "ok",
+        "db_exists": DB_PATH.exists(),
+        "db_path": str(DB_PATH),
+    }
+
+
+@app.get("/labels")
+def get_labels():
+    conn = get_connection()
+    query = """
+        SELECT DISTINCT label
+        FROM classified_articles
+        WHERE label IS NOT NULL
+        ORDER BY label
+    """
+    df = pd.read_sql_query(query, conn)
+    conn.close()
+    return df["label"].dropna().tolist()
+
+
+@app.get("/sources")
+def get_sources():
+    conn = get_connection()
+    query = """
+        SELECT DISTINCT source
+        FROM classified_articles
+        WHERE source IS NOT NULL
+        ORDER BY source
+    """
+    df = pd.read_sql_query(query, conn)
+    conn.close()
+    return df["source"].dropna().tolist()
+
+
+@app.get("/summary/daily-actions")
+def daily_actions(
+    start_date: Optional[str] = None,
+    end_date: Optional[str] = None,
+):
+    conn = get_connection()
+
+    query = """
+        SELECT
+            date(published_at) AS day,
+            label,
+            COUNT(*) AS count
+        FROM classified_articles
+        WHERE 1=1
+    """
+    params = []
+
+    if start_date:
+        query += " AND date(published_at) >= date(?)"
+        params.append(start_date)
+
+    if end_date:
+        query += " AND date(published_at) <= date(?)"
+        params.append(end_date)
+
+    query += """
+        GROUP BY date(published_at), label
+        ORDER BY day ASC, label ASC
+    """
+
+    df = pd.read_sql_query(query, conn, params=params)
+    conn.close()
+
+    return df.to_dict(orient="records")
+
+
+@app.get("/articles")
+def get_articles(
+    label: Optional[str] = None,
+    source: Optional[str] = None,
+    start_date: Optional[str] = None,
+    end_date: Optional[str] = None,
+    search: Optional[str] = None,
+    limit: int = Query(50, ge=1, le=500),
+    offset: int = Query(0, ge=0),
+):
+    conn = get_connection()
+
+    query = """
+        SELECT
+            article_id,
+            title,
+            description,
+            clean_text,
+            label,
+            raw_label,
+            source,
+            url,
+            published_at,
+            classified_at
+        FROM classified_articles
+        WHERE 1=1
+    """
+    params = []
+
+    if label:
+        query += " AND label = ?"
+        params.append(label)
+
+    if source:
+        query += " AND source = ?"
+        params.append(source)
+
+    if start_date:
+        query += " AND date(published_at) >= date(?)"
+        params.append(start_date)
+
+    if end_date:
+        query += " AND date(published_at) <= date(?)"
+        params.append(end_date)
+
+    if search:
+        query += " AND (lower(title) LIKE ? OR lower(description) LIKE ?)"
+        pattern = f"%{search.lower()}%"
+        params.extend([pattern, pattern])
+
+    query += " ORDER BY published_at DESC LIMIT ? OFFSET ?"
+    params.extend([limit, offset])
+
+    df = pd.read_sql_query(query, conn, params=params)
+    conn.close()
+
+    return df.to_dict(orient="records")

requirements.txt

@@ -0,0 +1,3 @@
+fastapi==0.110.0
+uvicorn==0.29.0
+pandas==2.2.2