Update app.py

app.py

@@ -1,144 +1,144 @@
-"""
-app.py — Flask API for FYP Dashboard
-Serves precomputed_data.json generated by analyze.py
-
-Endpoints:
-  GET /api/summary       → summary stats (cards)
-  GET /api/titles        → top job titles + salary by title
-  GET /api/skills        → top skills, skills by title, optimal skills
-  GET /api/trends        → salary trends + skill trends over time
-  GET /api/location      → remote breakdown + top countries
-  GET /api/all           → everything in one call (used by dashboard)
-"""
-
-import json
-import os
-from flask import Flask, jsonify
-from flask_cors import CORS
-
-app = Flask(__name__)
-
-# Allow your Vercel frontend domain — update this after deploying
-CORS(app, origins=[
-    "http://localhost:3000",       # local dev
-    "https://*.vercel.app",        # any vercel preview
-])
-
-# ─────────────────────────────────────────────
-# Load precomputed data once at startup
-# ─────────────────────────────────────────────
-DATA_PATH = os.path.join(os.path.dirname(__file__), "precomputed_data.json")
-
-def load_data():
-    if not os.path.exists(DATA_PATH):
-        raise FileNotFoundError(
-            f"precomputed_data.json not found at {DATA_PATH}\n"
-            "Run analyze.py first to generate it."
-        )
-    with open(DATA_PATH, "r") as f:
-        return json.load(f)
-
-try:
-    DATA = load_data()
-    print(f"[OK] Loaded precomputed data")
-    print(f"     Generated at: {DATA['meta']['generated_at']}")
-    print(f"     Total rows: {DATA['meta']['total_rows_processed']:,}")
-except FileNotFoundError as e:
-    print(f"[ERROR] {e}")
-    DATA = None
-
-
-def data_required(fn):
-    """Decorator — returns 503 if data not loaded."""
-    from functools import wraps
-    @wraps(fn)
-    def wrapper(*args, **kwargs):
-        if DATA is None:
-            return jsonify({
-                "error": "Data not ready. Run analyze.py first."
-            }), 503
-        return fn(*args, **kwargs)
-    return wrapper
-
-
-# ─────────────────────────────────────────────
-# Routes
-# ─────────────────────────────────────────────
-
-@app.route("/", methods=["GET"])
-def index():
-    if DATA is None:
-        return jsonify({"status": "error", "message": "Run analyze.py first"}), 503
-    return jsonify({
-        "status": "ok",
-        "generated_at": DATA["meta"]["generated_at"],
-        "total_rows": DATA["meta"]["total_rows_processed"],
-        "endpoints": [
-            "/api/summary",
-            "/api/titles",
-            "/api/skills",
-            "/api/trends",
-            "/api/location",
-            "/api/all",
-        ]
-    })
-
-
-@app.route("/api/summary", methods=["GET"])
-@data_required
-def get_summary():
-    return jsonify(DATA["summary_stats"])
-
-
-@app.route("/api/titles", methods=["GET"])
-@data_required
-def get_titles():
-    return jsonify({
-        "top_titles": DATA["top_titles"],
-        "salary_by_title": DATA["salary_by_title"],
-    })
-
-
-@app.route("/api/skills", methods=["GET"])
-@data_required
-def get_skills():
-    return jsonify({
-        "top_skills": DATA["top_skills"],
-        "skills_by_title": DATA["skills_by_title"],
-        "optimal_skills": DATA["optimal_skills"],
-    })
-
-
-@app.route("/api/trends", methods=["GET"])
-@data_required
-def get_trends():
-    return jsonify({
-        "salary_trends": DATA["salary_trends"],
-        "skill_trends": DATA["skill_trends"],
-    })
-
-
-@app.route("/api/location", methods=["GET"])
-@data_required
-def get_location():
-    return jsonify({
-        "remote_breakdown": DATA["remote_breakdown"],
-        "top_countries": DATA["top_countries"],
-    })
-
-
-@app.route("/api/all", methods=["GET"])
-@data_required
-def get_all():
-    """Single endpoint — dashboard calls this once on load."""
-    return jsonify(DATA)
-
-
-# ─────────────────────────────────────────────
-# Run
-# ─────────────────────────────────────────────
-if __name__ == "__main__":
-    port = int(os.environ.get("PORT", 5000))
-    debug = os.environ.get("FLASK_ENV") != "production"
-    print(f"Starting Flask on port {port} (debug={debug})")
+"""
+app.py — Flask API for FYP Dashboard
+Serves precomputed_data.json generated by analyze.py
+
+Endpoints:
+  GET /api/summary       → summary stats (cards)
+  GET /api/titles        → top job titles + salary by title
+  GET /api/skills        → top skills, skills by title, optimal skills
+  GET /api/trends        → salary trends + skill trends over time
+  GET /api/location      → remote breakdown + top countries
+  GET /api/all           → everything in one call (used by dashboard)
+"""
+
+import json
+import os
+from flask import Flask, jsonify
+from flask_cors import CORS
+
+app = Flask(__name__)
+
+# Allow your Vercel frontend domain — update this after deploying
+CORS(app, origins=[
+    "http://localhost:3000",       # local dev
+    "https://*.vercel.app",        # any vercel preview
+])
+
+# ─────────────────────────────────────────────
+# Load precomputed data once at startup
+# ─────────────────────────────────────────────
+DATA_PATH = os.path.join(os.path.dirname(__file__), "precomputed_data.json")
+
+def load_data():
+    if not os.path.exists(DATA_PATH):
+        raise FileNotFoundError(
+            f"precomputed_data.json not found at {DATA_PATH}\n"
+            "Run analyze.py first to generate it."
+        )
+    with open(DATA_PATH, "r") as f:
+        return json.load(f)
+
+try:
+    DATA = load_data()
+    print(f"[OK] Loaded precomputed data")
+    print(f"     Generated at: {DATA['meta']['generated_at']}")
+    print(f"     Total rows: {DATA['meta']['total_rows_processed']:,}")
+except FileNotFoundError as e:
+    print(f"[ERROR] {e}")
+    DATA = None
+
+
+def data_required(fn):
+    """Decorator — returns 503 if data not loaded."""
+    from functools import wraps
+    @wraps(fn)
+    def wrapper(*args, **kwargs):
+        if DATA is None:
+            return jsonify({
+                "error": "Data not ready. Run analyze.py first."
+            }), 503
+        return fn(*args, **kwargs)
+    return wrapper
+
+
+# ─────────────────────────────────────────────
+# Routes
+# ─────────────────────────────────────────────
+
+@app.route("/", methods=["GET"])
+def index():
+    if DATA is None:
+        return jsonify({"status": "error", "message": "Run analyze.py first"}), 503
+    return jsonify({
+        "status": "ok",
+        "generated_at": DATA["meta"]["generated_at"],
+        "total_rows": DATA["meta"]["total_rows_processed"],
+        "endpoints": [
+            "/api/summary",
+            "/api/titles",
+            "/api/skills",
+            "/api/trends",
+            "/api/location",
+            "/api/all",
+        ]
+    })
+
+
+@app.route("/api/summary", methods=["GET"])
+@data_required
+def get_summary():
+    return jsonify(DATA["summary_stats"])
+
+
+@app.route("/api/titles", methods=["GET"])
+@data_required
+def get_titles():
+    return jsonify({
+        "top_titles": DATA["top_titles"],
+        "salary_by_title": DATA["salary_by_title"],
+    })
+
+
+@app.route("/api/skills", methods=["GET"])
+@data_required
+def get_skills():
+    return jsonify({
+        "top_skills": DATA["top_skills"],
+        "skills_by_title": DATA["skills_by_title"],
+        "optimal_skills": DATA["optimal_skills"],
+    })
+
+
+@app.route("/api/trends", methods=["GET"])
+@data_required
+def get_trends():
+    return jsonify({
+        "salary_trends": DATA["salary_trends"],
+        "skill_trends": DATA["skill_trends"],
+    })
+
+
+@app.route("/api/location", methods=["GET"])
+@data_required
+def get_location():
+    return jsonify({
+        "remote_breakdown": DATA["remote_breakdown"],
+        "top_countries": DATA["top_countries"],
+    })
+
+
+@app.route("/api/all", methods=["GET"])
+@data_required
+def get_all():
+    """Single endpoint — dashboard calls this once on load."""
+    return jsonify(DATA)
+
+
+# ─────────────────────────────────────────────
+# Run
+# ─────────────────────────────────────────────
+if __name__ == "__main__":
+    port = int(os.environ.get("PORT", 7860))
+    debug = os.environ.get("FLASK_ENV") != "production"
+    print(f"Starting Flask on port {port} (debug={debug})")
     app.run(host="0.0.0.0", port=port, debug=debug)