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import requests | |
import json | |
from flask import Flask, render_template, request, jsonify, Response | |
from google import genai | |
import markdown | |
app = Flask(__name__) | |
# Replace with your actual Gemini API key | |
client = genai.Client(api_key="AIzaSyBtXV2xJbrWVV57B5RWy_meKXOA59HFMeY") | |
def validate_coordinates(lat, lon): | |
"""Validate and convert latitude and longitude to float.""" | |
try: | |
return float(lat), float(lon) | |
except (TypeError, ValueError): | |
return None, None | |
def index(): | |
return render_template('index.html') | |
def get_weather_data(): | |
""" | |
Fetch weather data using Open-Meteo's forecast endpoint: | |
- daily: temperature_2m_max (max_temp), temperature_2m_min (min_temp), precipitation_sum (rain) | |
- hourly: relative_humidity_2m, soil_moisture_3_to_9cm, cloudcover, windspeed_10m | |
- current_weather: for current temperature and wind speed | |
""" | |
lat = request.args.get('lat') | |
lon = request.args.get('lon') | |
lat, lon = validate_coordinates(lat, lon) | |
if lat is None or lon is None: | |
return jsonify({"error": "Invalid coordinates"}), 400 | |
try: | |
forecast_url = "https://api.open-meteo.com/v1/forecast" | |
forecast_params = { | |
"latitude": lat, | |
"longitude": lon, | |
"current_weather": "true", | |
"daily": "temperature_2m_max,temperature_2m_min,precipitation_sum", | |
"hourly": "relative_humidity_2m,soil_moisture_3_to_9cm,cloudcover,windspeed_10m", | |
"timezone": "auto" | |
} | |
resp = requests.get(forecast_url, params=forecast_params) | |
resp.raise_for_status() | |
data = resp.json() | |
daily = data.get("daily", {}) | |
hourly = data.get("hourly", {}) | |
current = data.get("current_weather", {}) | |
# Daily data | |
max_temp = daily.get("temperature_2m_max", [None])[0] | |
min_temp = daily.get("temperature_2m_min", [None])[0] | |
rain = daily.get("precipitation_sum", [None])[0] | |
# Hourly data (averages) | |
humidity_list = hourly.get("relative_humidity_2m", []) | |
soil_list = hourly.get("soil_moisture_3_to_9cm", []) | |
cloud_list = hourly.get("cloudcover", []) | |
wind_list = hourly.get("windspeed_10m", []) | |
avg_humidity = sum(humidity_list)/len(humidity_list) if humidity_list else None | |
avg_soil_moisture = sum(soil_list)/len(soil_list) if soil_list else None | |
avg_cloud_cover = sum(cloud_list)/len(cloud_list) if cloud_list else None | |
# Current weather | |
current_temp = current.get("temperature") | |
wind_speed = current.get("windspeed") | |
weather = { | |
"max_temp": max_temp, | |
"min_temp": min_temp, | |
"rainfall": rain, | |
"humidity": avg_humidity, | |
"soil_moisture": avg_soil_moisture, | |
"current_temp": current_temp, | |
"wind_speed": wind_speed, | |
"cloud_cover": avg_cloud_cover | |
} | |
return jsonify(weather) | |
except Exception as e: | |
return jsonify({"error": str(e)}), 500 | |
def get_soil_properties(): | |
"""Fetch soil properties using SoilGrids API and map to user-friendly names.""" | |
lat = request.args.get('lat') | |
lon = request.args.get('lon') | |
lat, lon = validate_coordinates(lat, lon) | |
if lat is None or lon is None: | |
return jsonify({"error": "Invalid coordinates"}), 400 | |
try: | |
prop_url = "https://rest.isric.org/soilgrids/v2.0/properties/query" | |
prop_params = { | |
"lon": str(lon), | |
"lat": str(lat), | |
"property": [ | |
"bdod", "cec", "cfvo", "clay", "nitrogen", | |
"ocd", "phh2o", "sand", "silt", | |
"soc", "wv0010", "wv0033", "wv1500" | |
], | |
"depth": "5-15cm", | |
"value": "mean" | |
} | |
headers = {"accept": "application/json"} | |
response = requests.get(prop_url, params=prop_params, headers=headers) | |
response.raise_for_status() | |
prop_data = response.json() | |
table_data = [] | |
PARAMETER_NAMES = { | |
"bdod": "Bulk Density", | |
"cec": "CEC", | |
"cfvo": "Field Capacity", | |
"clay": "Clay", | |
"nitrogen": "Nitrogen", | |
"ocd": "Organic Carbon Density", | |
"phh2o": "pH", | |
"sand": "Sand", | |
"silt": "Silt", | |
"soc": "Soil Organic Carbon", | |
"wv0010": "Volumetric Water Content (0-10cm)", | |
"wv0033": "Volumetric Water Content (10-33cm)", | |
"wv1500": "Volumetric Water Content (1500)" | |
} | |
for layer in prop_data.get('properties', {}).get('layers', []): | |
parameter = layer.get('name') | |
display_name = PARAMETER_NAMES.get(parameter, parameter) | |
value = layer.get('depths', [{}])[0].get('values', {}).get('mean') | |
if value is None: | |
continue | |
if parameter in ["wv0010", "wv0033", "wv1500"]: | |
final_value = value / 10.0 | |
unit = layer.get('unit_measure', {}).get("target_units", "") | |
elif parameter in ["phh2o"]: | |
final_value = value / 10.0 | |
unit = layer.get('unit_measure', {}).get("mapped_units", "").replace("*10", "").strip() | |
else: | |
final_value = value | |
unit = layer.get('unit_measure', {}).get("mapped_units", "") | |
table_data.append([display_name, final_value, unit]) | |
return jsonify({"soil_properties": table_data}) | |
except Exception as e: | |
return jsonify({"error": str(e)}), 500 | |
def call_gemini_api(input_data): | |
""" | |
Enhanced prompt: We request a visually appealing Markdown report WITHOUT | |
showing raw CSS code blocks. Instead, we want a descriptive layout. | |
NOTE: We instruct the model to produce headings, paragraphs, and a table | |
in a color-rich, well-spaced manner, but NOT to display raw CSS code. | |
""" | |
prompt = f""" | |
Create a visually appealing, farmer-friendly pest outbreak report in Markdown with the following: | |
1. A large, centered heading: "Pest Outbreak Dashboard Report". | |
2. A short paragraph indicating location (latitude: {input_data.get('latitude')}, longitude: {input_data.get('longitude')}), location as per lat,long(like just ex dont consider it as hardoced nagpur,india so kike fetch from lat,long) and the crop/farm context. | |
3. Several subheadings (e.g., "Agricultural Inputs", "Pest Outbreak Analysis", "Best Agricultural Practices", "Insights") with short paragraphs. | |
4. A colorfully styled table (no raw CSS code blocks) with: | |
- Pest Name | |
- Predicted Outbreak Month(s) | |
- Severity | |
- Precautionary Measures | |
5. Provide bullet points for best practices. | |
6. Use a friendly color scheme, with subtle hovers or highlights for rows, and consistent fonts. | |
7. Avoid printing any raw code blocks. | |
8. Incorporate the weather, soil, and agricultural data (like sowing date, irrigation method) into the narrative but do not list them as raw parameters. | |
9. do not give off topic insitruction only pest outbreka report i want okay, and dotn use special characters and justified text | |
Important details from the user: | |
- Crop Type: {input_data.get('crop_type')} | |
- Sowing Date: {input_data.get('sowing_date')} | |
- Harvest Date: {input_data.get('harvest_date')} | |
- Current Growth Stage: {input_data.get('growth_stage')} | |
- Irrigation Frequency: {input_data.get('irrigation_freq')} | |
- Irrigation Method: {input_data.get('irrigation_method')} | |
- Soil Type: {input_data.get('soil_type')} | |
- Max Temp: {input_data.get('max_temp')} | |
- Min Temp: {input_data.get('min_temp')} | |
- Current Temp: {input_data.get('current_temp')} | |
- Humidity: {input_data.get('humidity')} | |
- Rainfall: {input_data.get('rain')} | |
- Soil Moisture: {input_data.get('soil_moisture')} | |
- Wind Speed: {input_data.get('wind_speed')} | |
- Cloud Cover: {input_data.get('cloud_cover')} | |
10. also i want specific reocmmendation on pest control (seprate than precuatuonary measure below it in bullet pooints),best agriculktual practices,not generlaized one , but speicifc as perstudiyng each input paprmaetenrindetial okay,poepr sltying tbale should be rendered porpelry etc.. porper bold heaidng ,big fotn,left allgiemnd jsutified text | |
11.again order first title the lat,long,location derive form lat long(ex : nagpur,india) then below it agiruclturla oinput parmeter analysis, then pest tbale then pest avidnaces practice in dpeth 10-12 with bueet pint safter that spciific agrficulturla best practices as per input parameters, after the damage of predicted pest some contnest and more dept contnext this shoudl be order | |
""" | |
response = client.models.generate_content( | |
model="gemini-2.0-flash", | |
contents=prompt, | |
) | |
return response.text | |
def predict(): | |
form_data = request.form.to_dict() | |
report_md = call_gemini_api(form_data) | |
# Convert raw markdown to HTML | |
report_html = markdown.markdown(report_md) | |
# Inject advanced, colorful styling into the final HTML | |
html_output = f"""<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<title>Pest Outbreak Dashboard Report</title> | |
<!-- Tailwind for utility classes --> | |
<link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/tailwind.min.css" rel="stylesheet"> | |
<style> | |
/* Overall page background with a subtle gradient */ | |
body {{ | |
margin: 0; | |
padding: 2rem; | |
background: linear-gradient(120deg, #f7f7f7 0%, #e3f2fd 100%); | |
font-family: 'Segoe UI', Tahoma, sans-serif; | |
}} | |
.report-container {{ | |
max-width: 1000px; | |
margin: 0 auto; | |
background-color: #ffffff; | |
border-radius: 8px; | |
box-shadow: 0 4px 12px rgba(0,0,0,0.1); | |
padding: 2rem; | |
transition: transform 0.3s ease, box-shadow 0.3s ease; | |
}} | |
.report-container:hover {{ | |
transform: translateY(-4px); | |
box-shadow: 0 12px 24px rgba(0,0,0,0.15); | |
}} | |
/* Gradient heading for H1 */ | |
.report-container h1 {{ | |
text-align: center; | |
font-size: 2rem; | |
margin-bottom: 1.5rem; | |
color: #ffffff; | |
background: linear-gradient(to right, #81c784, #388e3c); | |
padding: 1rem; | |
border-radius: 6px; | |
box-shadow: inset 0 1px 2px rgba(0,0,0,0.1); | |
}} | |
/* Secondary headings (H2, H3) */ | |
.report-container h2, | |
.report-container h3 {{ | |
margin-top: 1.5rem; | |
margin-bottom: 0.75rem; | |
color: #2c3e50; | |
text-align: left; | |
}} | |
/* Paragraphs */ | |
.report-container p {{ | |
margin-bottom: 1rem; | |
color: #555555; | |
text-align: justify; | |
line-height: 1.6; | |
}} | |
/* Lists */ | |
.report-container ul, | |
.report-container ol {{ | |
margin-left: 1.5rem; | |
margin-bottom: 1rem; | |
color: #555555; | |
}} | |
/* Table styling */ | |
.report-container table {{ | |
width: 100%; | |
border-collapse: collapse; | |
margin: 1.5rem 0; | |
}} | |
.report-container thead tr {{ | |
background: linear-gradient(to right, #81c784, #388e3c); | |
color: #ffffff; | |
}} | |
.report-container th, | |
.report-container td {{ | |
border: 1px solid #ddd; | |
padding: 12px 15px; | |
text-align: left; | |
transition: background-color 0.2s ease; | |
}} | |
.report-container tbody tr:hover {{ | |
background-color: #f9f9f9; | |
}} | |
/* Responsive table for smaller screens */ | |
@media (max-width: 768px) {{ | |
.report-container table, | |
.report-container thead, | |
.report-container tbody, | |
.report-container th, | |
.report-container td, | |
.report-container tr {{ | |
display: block; | |
width: 100%; | |
}} | |
.report-container thead tr {{ | |
display: none; | |
}} | |
.report-container td {{ | |
border: none; | |
border-bottom: 1px solid #ddd; | |
position: relative; | |
padding-left: 50%; | |
text-align: left; | |
}} | |
.report-container td:before {{ | |
content: attr(data-label); | |
position: absolute; | |
left: 15px; | |
font-weight: bold; | |
}} | |
}} | |
</style> | |
</head> | |
<body> | |
<div class="report-container"> | |
{report_html} | |
</div> | |
</body> | |
</html>""" | |
return Response(html_output, mimetype="text/html") | |
if __name__ == '__main__': | |
app.run(debug=True) | |