Spaces:
Sleeping
Sleeping
| import os | |
| from datetime import datetime, timedelta | |
| import random | |
| from dataclasses import dataclass | |
| from typing import List, Dict | |
| class NDVIPoint: | |
| date: datetime | |
| ndvi: float | |
| evi: float | |
| class DataManager: | |
| def __init__(self, config_cls): | |
| self.cfg = config_cls | |
| def load_ndvi_series(self, region: str) -> List[NDVIPoint]: | |
| days = self.cfg.NDVI_LENGTH_DAYS | |
| today = datetime.today() | |
| series = [] | |
| base = 0.5 + (hash(region) % 20) / 100.0 | |
| for i in range(days): | |
| d = today - timedelta(days=days - i) | |
| seasonal = 0.2 * (1 + (i / days)) | |
| noise = random.uniform(-0.05, 0.05) | |
| ndvi = max(0.1, min(0.9, base + seasonal * 0.3 + noise)) | |
| evi = max(0.05, min(0.8, ndvi - 0.05 + random.uniform(-0.02, 0.02))) | |
| series.append(NDVIPoint(date=d, ndvi=ndvi, evi=evi)) | |
| return series | |
| def load_weather_forecast(self, region: str) -> Dict: | |
| today = datetime.today() | |
| forecast = [] | |
| for i in range(30): | |
| d = today + timedelta(days=i) | |
| temp = 20 + (hash(region + "t") % 8) + (i * 0.1) | |
| rain = max(0.0, random.gauss(3.0, 2.0)) | |
| forecast.append( | |
| { | |
| "date": d.strftime("%Y-%m-%d"), | |
| "tmax": round(temp + random.uniform(0, 4), 1), | |
| "tmin": round(temp - random.uniform(4, 6), 1), | |
| "rain": round(rain, 2), | |
| } | |
| ) | |
| volatility = sum(abs(day["tmax"] - day["tmin"]) for day in forecast) / len(forecast) | |
| return {"region": region, "daily": forecast, "volatility": round(volatility, 2)} | |
| def load_soil_and_terrain(self, region: str) -> Dict: | |
| elevation = 100 + (hash(region + "elev") % 250) | |
| slope = round(1 + (hash(region + "slope") % 14), 1) | |
| texture = ["Sandy loam", "Clay loam", "Silty clay", "Loamy sand"][hash(region) % 4] | |
| organic = round(1.0 + (hash(region + "org") % 40) / 10.0, 1) | |
| drainage = ["Well drained", "Moderately drained", "Poorly drained"][hash(region) % 3] | |
| score = max(0.0, min(1.0, 0.2 + organic / 10.0 + (15 - abs(slope - 5)) / 40.0)) | |
| return { | |
| "elevation_m": elevation, | |
| "slope_deg": slope, | |
| "texture": texture, | |
| "organic_matter_pct": organic, | |
| "drainage": drainage, | |
| "soil_score": round(score, 2), | |
| } | |
| def load_ag_commons_metadata(self) -> Dict: | |
| return { | |
| "sources": [ | |
| "Landsat 8/9 NDVI (synthetic stub)", | |
| "MODIS NDVI/EVI (synthetic stub)", | |
| "Open-Meteo weather forecast (offline stub)", | |
| "Copernicus terrain + soil (offline stub)", | |
| "USDA Ag Data Commons (offline stub)", | |
| ], | |
| "note": "Replace synthetic loaders with real API and dataset integrations for production.", | |
| } | |