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Update app.py
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app.py
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import os
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import numpy as np
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import pandas as pd
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from flask import Flask, request, jsonify
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from tensorflow.keras.models import load_model
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from tensorflow.keras.utils import load_img, img_to_array
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from math import radians, cos, sin, sqrt, atan2
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@@ -98,10 +98,8 @@ def get_farming_tips(df, crop_name):
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return None
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def get_location_name(lat, lon):
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"""
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Mengambil nama lokasi (reverse geocoding) dari OpenStreetMap Nominatim.
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"""
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try:
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url = f"https://nominatim.openstreetmap.org/reverse?lat={lat}&lon={lon}&format=json"
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headers = {"User-Agent": "soil-api/1.0"}
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@@ -114,7 +112,31 @@ def get_location_name(lat, lon):
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except Exception:
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return "Tidak ditemukan"
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#
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@app.route('/analyze', methods=['POST'])
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def analyze():
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if 'image' not in request.files:
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if nearest_data is None:
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return jsonify({"error": "Data jenis tanah tidak ditemukan"}), 404
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# Ambil nama lokasi dari OSM
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location_name = get_location_name(nearest_data['latitude'], nearest_data['longitude'])
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weather = get_weather_data(lat, lon)
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if not weather:
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return jsonify({"error": "Gagal mengambil data cuaca"}), 500
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"nearest_soil_data": {
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"latitude": nearest_data['latitude'],
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"longitude": nearest_data['longitude'],
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"location_name": location_name,
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"pH": nearest_data['pH'],
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"N": nearest_data['N'],
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"P": nearest_data['P'],
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import os
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import numpy as np
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import pandas as pd
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from flask import Flask, request, jsonify, render_template_string
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from tensorflow.keras.models import load_model
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from tensorflow.keras.utils import load_img, img_to_array
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from math import radians, cos, sin, sqrt, atan2
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}
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return None
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# Fungsi reverse geocoding
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def get_location_name(lat, lon):
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try:
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url = f"https://nominatim.openstreetmap.org/reverse?lat={lat}&lon={lon}&format=json"
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headers = {"User-Agent": "soil-api/1.0"}
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except Exception:
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return "Tidak ditemukan"
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# Halaman landing
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@app.route('/')
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def index():
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html_content = """
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<!DOCTYPE html>
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<html>
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<head>
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<title>Soil & Crop Recommender</title>
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</head>
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<body style="font-family: Arial; text-align: center; padding: 50px;">
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<h1>Welcome to the Soil & Crop Recommendation API 🌱</h1>
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<p>Use the <code>/analyze</code> endpoint with an image and coordinates to get soil predictions and crop suggestions.</p>
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<p><strong>POST /analyze</strong> with form-data:</p>
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<ul style="list-style: none;">
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<li><code>image</code>: soil image file</li>
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<li><code>lat</code>: latitude</li>
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<li><code>lon</code>: longitude</li>
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</ul>
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<p>Happy Farming! 🌾</p>
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</body>
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</html>
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"""
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return render_template_string(html_content)
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# Endpoint analisis utama
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@app.route('/analyze', methods=['POST'])
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def analyze():
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if 'image' not in request.files:
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if nearest_data is None:
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return jsonify({"error": "Data jenis tanah tidak ditemukan"}), 404
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location_name = get_location_name(nearest_data['latitude'], nearest_data['longitude'])
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weather = get_weather_data(lat, lon)
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if not weather:
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return jsonify({"error": "Gagal mengambil data cuaca"}), 500
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"nearest_soil_data": {
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"latitude": nearest_data['latitude'],
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"longitude": nearest_data['longitude'],
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"location_name": location_name,
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"pH": nearest_data['pH'],
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"N": nearest_data['N'],
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"P": nearest_data['P'],
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