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File size: 1,927 Bytes
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Flask Frontend Application for Autonomous AI Data Analyst Agent.
Serves the UI only; the browser calls the FastAPI backend directly.
"""
import os
import logging
from flask import Flask, render_template, jsonify
app = Flask(__name__, template_folder="templates", static_folder="static")
# Configuration
BACKEND_URL = os.getenv("BACKEND_URL", "http://127.0.0.1:8000")
REQUIRE_API_KEY = os.getenv("REQUIRE_API_KEY", "false").lower() == "true"
APP_VERSION = os.getenv("APP_VERSION", "0.1.0")
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# ============================================================================
# FRONTEND ROUTES
# ============================================================================
@app.route("/")
def index():
"""Serve main dashboard page."""
return render_template(
"index.html",
app_version=APP_VERSION,
require_api_key=REQUIRE_API_KEY,
backend_url=BACKEND_URL
)
@app.route("/health")
def health():
"""Health check endpoint."""
return jsonify({
"status": "ok",
"version": APP_VERSION,
"frontend": "flask"
})
# ============================================================================
# UTILITY ROUTES
# ============================================================================
@app.route("/api/config", methods=["GET"])
def get_config():
"""Get frontend configuration."""
return jsonify({
"backend_url": BACKEND_URL,
"require_api_key": REQUIRE_API_KEY,
"app_version": APP_VERSION
})
if __name__ == "__main__":
debug = os.getenv("FLASK_DEBUG", "false").lower() == "true"
port = int(os.getenv("FLASK_PORT", "5000"))
host = os.getenv("FLASK_HOST", "0.0.0.0")
logger.info(f"Starting Flask frontend on {host}:{port}")
logger.info(f"Backend URL: {BACKEND_URL}")
app.run(host=host, port=port, debug=debug)
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