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Professional Farm Controller & Decision Engine
==============================================
Orchestrates all farm intelligence APIs and generates comprehensive dashboards
"""
import json
import asyncio
import httpx
import logging
import os
from datetime import datetime
import alerts
from database import db
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [%(levelname)s] %(name)s: %(message)s"
)
logger = logging.getLogger("FarmController")
# API Endpoints
WEATHER_URL = os.getenv("WEATHER_API_URL", "http://127.0.0.1:8001/weather")
PEST_URL = os.getenv("PEST_API_URL", "http://127.0.0.1:8000/api/predict")
WATER_URL = os.getenv("WATER_API_URL", "http://127.0.0.1:8002/predict")
async def fetch(client: httpx.AsyncClient, url: str, params=None, json_data=None, method="GET"):
"""Generic async fetch with error handling"""
try:
if method == "GET":
r = await client.get(url, params=params, timeout=60.0)
else:
r = await client.post(url, json=json_data, timeout=60.0)
r.raise_for_status()
return r.json()
except Exception as e:
logger.error(f"Error fetching {url}: {e}")
return {"error": str(e), "status": "offline"}
async def run_farm_dashboard(user_file: str = "user.json", output_file: str = "dashboard_output.json"):
"""
Main orchestration function - Runs all APIs in parallel and generates dashboard
"""
try:
with open(user_file, "r") as f:
farmer = json.load(f)
except Exception as e:
logger.error(f"Error loading farmer profile: {e}")
return None
logger.info(f"🌾 Running dashboard for {farmer.get('name', 'Farmer')}...")
# Extract farmer data
lat = farmer.get("latitude", 18.5204)
lon = farmer.get("longitude", 73.8567)
crop_type = farmer.get("crop_type", "Crop")
village = farmer.get("village", "Pune")
soil_type = farmer.get("soil_type", "Dry")
season = farmer.get("season", "Annual")
motor_capacity = farmer.get("motor_capacity", 10.0)
farm_size_hectares = farmer.get("farm_size_hectares", 1.0)
# Prepare API payloads
pest_payload = {
"latitude": lat,
"longitude": lon,
"crop_type": crop_type,
"season": season,
"soil_type": soil_type,
"language": "English"
}
water_payload = {
"city": village,
"crop_type": crop_type,
"soil_type": soil_type,
"capacity": motor_capacity,
"farm_size_hectares": farm_size_hectares
}
# Execute all API calls in parallel
async with httpx.AsyncClient() as client:
logger.info("📡 Calling all intelligence APIs in parallel...")
weather_task = fetch(client, WEATHER_URL, params={"lat": lat, "lon": lon})
pest_task = fetch(client, PEST_URL, json_data=pest_payload, method="POST")
water_task = fetch(client, WATER_URL, json_data=water_payload, method="POST")
weather_res, pest_res, water_res = await asyncio.gather(
weather_task, pest_task, water_task,
return_exceptions=True
)
# Handle exceptions
if isinstance(weather_res, Exception):
logger.error(f"Weather API failed: {weather_res}")
weather_res = {"error": str(weather_res), "current": {}, "forecast": []}
if isinstance(pest_res, Exception):
logger.error(f"Pest API failed: {pest_res}")
pest_res = {"error": str(pest_res), "pest_prediction_table": []}
if isinstance(water_res, Exception):
logger.error(f"Water API failed: {water_res}")
water_res = {"error": str(water_res), "water_m3_sqm": 0, "irrigation_minutes": 0}
logger.info("✅ All APIs completed")
# ════════════════════════════════════════════════════════════════════════════
# DECISION ENGINE: Generate intelligent alerts
# ════════════════════════════════════════════════════════════════════════════
logger.info("🧠 Running decision engine...")
notifications = alerts.get_alerts(weather_res, pest_res, water_res, farmer)
# Save alert history
for alert in notifications:
alert_copy = alert.copy()
alert_copy["farmer_id"] = farmer.get("farmer_id", "DEFAULT")
db.save_alert(alert_copy)
# ════════════════════════════════════════════════════════════════════════════
# BUILD COMPREHENSIVE DASHBOARD
# ════════════════════════════════════════════════════════════════════════════
dashboard = {
"generated_at": datetime.now().isoformat(),
"farmer_id": farmer.get("farmer_id", "DEFAULT"),
"farmer_profile": farmer,
"weather_intelligence": {
"status": "online" if "error" not in weather_res else "offline",
**weather_res
},
"pest_intelligence": {
"status": "online" if "error" not in pest_res else "offline",
**pest_res
},
"water_intelligence": {
"status": "online" if "error" not in water_res else "offline",
**water_res
},
"alerts": notifications,
"summary": {
"total_alerts": len(notifications),
"critical_alerts": len([a for a in notifications if a.get("severity") == "CRITICAL"]),
"high_alerts": len([a for a in notifications if a.get("severity") == "HIGH"]),
"medium_alerts": len([a for a in notifications if a.get("severity") == "MEDIUM"]),
"action_required": any(a.get("action_required", False) for a in notifications)
},
"health_check": {
"weather_api": "🟢 OK" if weather_res.get("status") == "online" else "🔴 DOWN",
"pest_api": "🟢 OK" if pest_res.get("status") == "online" else "🔴 DOWN",
"water_api": "🟢 OK" if water_res.get("status") == "online" else "🔴 DOWN",
"database": "🟢 OK"
}
}
# Save dashboard
with open(output_file, "w") as f:
json.dump(dashboard, f, indent=4, default=str)
logger.info(f"✅ Dashboard generated: {output_file}")
logger.info(f" Total Alerts: {dashboard['summary']['total_alerts']}")
logger.info(f" Critical: {dashboard['summary']['critical_alerts']} | High: {dashboard['summary']['high_alerts']}")
return dashboard
# Async entry point
async def main():
"""For standalone execution"""
dashboard = await run_farm_dashboard()
if dashboard:
print(json.dumps(dashboard, indent=2, default=str))
if __name__ == "__main__":
asyncio.run(main())
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