Upload folder using huggingface_hub

.gitignore

@@ -2,21 +2,21 @@ __pycache__/
 *.py[cod]
 *$py.class
 climai.log
-*.json
+
 *.txt
 !requirements.txt
 .git/
 .venv/
 .vscode/
-
-*.ttf
-*.woff
-*.woff2
-*.png
-*.jpg
-*.jpeg
-*.gif
-*.svg
-__pycache__/
-*.pyc
+
+*.ttf
+*.woff
+*.woff2
+*.png
+*.jpg
+*.jpeg
+*.gif
+*.svg
+__pycache__/
+*.pyc
 web/

Dockerfile

@@ -1,28 +1,28 @@
-# Use an official Python runtime as a parent image
-FROM python:3.10-slim
-
-# Set the working directory
-WORKDIR /app
-
-# Install system dependencies (needed for AI/ML libraries)
-# libgomp1 is required for XGBoost and LightGBM
-RUN apt-get update && apt-get install -y \
-    build-essential \
-    curl \
-    cmake \
-    libgomp1 \
-    && rm -rf /var/lib/apt/lists/*
-
-# Copy requirements and install them
-COPY requirements.txt .
-RUN pip install --no-cache-dir --upgrade pip && \
-    pip install --no-cache-dir -r requirements.txt
-
-# Copy the rest of the backend code
-COPY . .
-
-# Expose the port FastAPI runs on
-EXPOSE 7860
-
-# Command to run the app (Hugging Face uses port 7860)
-CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
+# Use an official Python runtime as a parent image
+FROM python:3.10-slim
+
+# Set the working directory
+WORKDIR /app
+
+# Install system dependencies (needed for AI/ML libraries)
+# libgomp1 is required for XGBoost and LightGBM
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    cmake \
+    libgomp1 \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements and install them
+COPY requirements.txt .
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the backend code
+COPY . .
+
+# Expose the port FastAPI runs on
+EXPOSE 7860
+
+# Command to run the app (Hugging Face uses port 7860)
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

data/aqi_history.json

@@ -0,0 +1 @@
+{"location": "Chennai, India", "period_start": "2025-03-19", "period_end": "2026-03-19", "total_days": 366, "daily": [{"date": "2025-03-19", "avg_pm25": 10.3, "avg_pm10": 13.8, "avg_aqi": 20.2, "avg_no2": 5.5, "avg_o3": 49.1}, {"date": "2025-03-20", "avg_pm25": 10.1, "avg_pm10": 13.3, "avg_aqi": 24.0, "avg_no2": 5.4, "avg_o3": 56.2}, {"date": "2025-03-21", "avg_pm25": 11.8, "avg_pm10": 15.6, "avg_aqi": 29.2, "avg_no2": 4.5, "avg_o3": 73.1}, {"date": "2025-03-22", "avg_pm25": 16.5, "avg_pm10": 20.9, "avg_aqi": 30.7, "avg_no2": 5.4, "avg_o3": 74.2}, {"date": "2025-03-23", "avg_pm25": 15.7, "avg_pm10": 19.8, "avg_aqi": 35.0, "avg_no2": 4.7, "avg_o3": 86.1}, {"date": "2025-03-24", "avg_pm25": 21.7, "avg_pm10": 28.3, "avg_aqi": 40.6, "avg_no2": 6.2, "avg_o3": 80.7}, {"date": "2025-03-25", "avg_pm25": 25.1, "avg_pm10": 32.2, "avg_aqi": 52.0, "avg_no2": 7.5, "avg_o3": 81.5}, {"date": "2025-03-26", "avg_pm25": 29.8, "avg_pm10": 35.0, "avg_aqi": 61.5, "avg_no2": 8.0, "avg_o3": 90.5}, {"date": "2025-03-27", "avg_pm25": 32.5, "avg_pm10": 37.7, "avg_aqi": 65.6, "avg_no2": 7.8, "avg_o3": 104.2}, {"date": "2025-03-28", "avg_pm25": 31.2, "avg_pm10": 36.7, "avg_aqi": 65.5, "avg_no2": 7.2, "avg_o3": 119.7}, {"date": "2025-03-29", "avg_pm25": 27.4, "avg_pm10": 34.8, "avg_aqi": 63.8, "avg_no2": 7.5, "avg_o3": 110.5}, {"date": "2025-03-30", "avg_pm25": 27.6, "avg_pm10": 37.5, "avg_aqi": 62.0, "avg_no2": 6.2, "avg_o3": 93.6}, {"date": "2025-03-31", "avg_pm25": 36.3, "avg_pm10": 49.2, "avg_aqi": 65.3, "avg_no2": 5.5, "avg_o3": 97.0}, {"date": "2025-04-01", "avg_pm25": 30.6, "avg_pm10": 39.2, "avg_aqi": 67.3, "avg_no2": 5.8, "avg_o3": 91.0}, {"date": "2025-04-02", "avg_pm25": 21.9, "avg_pm10": 30.7, "avg_aqi": 60.9, "avg_no2": 4.7, "avg_o3": 80.6}, {"date": "2025-04-03", "avg_pm25": 11.7, "avg_pm10": 16.1, "avg_aqi": 33.2, "avg_no2": 7.0, "avg_o3": 59.7}, {"date": "2025-04-04", "avg_pm25": 12.5, "avg_pm10": 15.6, "avg_aqi": 27.2, "avg_no2": 11.4, "avg_o3": 54.7}, {"date": "2025-04-05", 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"avg_pm10": 24.5, "avg_aqi": 41.2, "avg_no2": 6.2, "avg_o3": 90.7}, {"date": "2025-04-15", "avg_pm25": 19.4, "avg_pm10": 31.6, "avg_aqi": 40.4, "avg_no2": 4.9, "avg_o3": 85.5}, {"date": "2025-04-16", "avg_pm25": 19.1, "avg_pm10": 35.4, "avg_aqi": 37.8, "avg_no2": 4.2, "avg_o3": 77.0}, {"date": "2025-04-17", "avg_pm25": 21.0, "avg_pm10": 36.7, "avg_aqi": 42.5, "avg_no2": 4.5, "avg_o3": 75.2}, {"date": "2025-04-18", "avg_pm25": 19.7, "avg_pm10": 29.5, "avg_aqi": 45.7, "avg_no2": 4.7, "avg_o3": 92.3}, {"date": "2025-04-19", "avg_pm25": 25.6, "avg_pm10": 35.3, "avg_aqi": 52.5, "avg_no2": 6.1, "avg_o3": 104.7}, {"date": "2025-04-20", "avg_pm25": 25.1, "avg_pm10": 34.8, "avg_aqi": 61.4, "avg_no2": 5.3, "avg_o3": 106.0}, {"date": "2025-04-21", "avg_pm25": 21.6, "avg_pm10": 32.0, "avg_aqi": 55.0, "avg_no2": 4.6, "avg_o3": 95.4}, {"date": "2025-04-22", "avg_pm25": 17.6, "avg_pm10": 25.9, "avg_aqi": 43.8, "avg_no2": 5.2, "avg_o3": 92.2}, {"date": "2025-04-23", "avg_pm25": 13.2, "avg_pm10": 18.0, "avg_aqi": 41.7, "avg_no2": 5.4, "avg_o3": 98.0}, {"date": "2025-04-24", "avg_pm25": 15.2, "avg_pm10": 20.8, "avg_aqi": 38.2, "avg_no2": 4.8, "avg_o3": 91.4}, {"date": "2025-04-25", "avg_pm25": 16.2, "avg_pm10": 22.6, "avg_aqi": 36.7, "avg_no2": 4.1, "avg_o3": 88.8}, {"date": "2025-04-26", "avg_pm25": 13.5, "avg_pm10": 18.2, "avg_aqi": 38.5, "avg_no2": 4.2, "avg_o3": 94.7}, {"date": "2025-04-27", "avg_pm25": 10.2, "avg_pm10": 14.0, "avg_aqi": 30.2, "avg_no2": 4.4, "avg_o3": 75.4}, {"date": "2025-04-28", "avg_pm25": 7.8, "avg_pm10": 10.9, "avg_aqi": 25.6, "avg_no2": 5.1, "avg_o3": 64.2}, {"date": "2025-04-29", "avg_pm25": 7.1, "avg_pm10": 9.8, "avg_aqi": 27.1, "avg_no2": 4.3, "avg_o3": 68.0}, {"date": "2025-04-30", "avg_pm25": 13.0, "avg_pm10": 16.8, "avg_aqi": 38.8, "avg_no2": 4.9, "avg_o3": 92.0}, {"date": "2025-05-01", "avg_pm25": 15.3, "avg_pm10": 20.9, "avg_aqi": 37.9, "avg_no2": 6.6, "avg_o3": 83.2}, {"date": "2025-05-02", "avg_pm25": 13.8, "avg_pm10": 20.9, "avg_aqi": 33.5, "avg_no2": 4.7, "avg_o3": 66.9}, {"date": "2025-05-03", "avg_pm25": 13.4, "avg_pm10": 20.2, "avg_aqi": 37.6, "avg_no2": 6.2, "avg_o3": 83.0}, {"date": "2025-05-04", "avg_pm25": 12.0, "avg_pm10": 17.9, "avg_aqi": 37.6, "avg_no2": 5.0, "avg_o3": 87.4}, {"date": "2025-05-05", "avg_pm25": 23.5, "avg_pm10": 29.8, "avg_aqi": 52.6, "avg_no2": 6.5, "avg_o3": 129.8}, {"date": "2025-05-06", "avg_pm25": 18.7, "avg_pm10": 24.2, "avg_aqi": 56.8, "avg_no2": 5.6, "avg_o3": 122.2}, {"date": "2025-05-07", "avg_pm25": 23.0, "avg_pm10": 28.8, "avg_aqi": 50.8, "avg_no2": 6.1, "avg_o3": 112.7}, {"date": "2025-05-08", "avg_pm25": 25.6, "avg_pm10": 32.0, "avg_aqi": 60.8, "avg_no2": 7.9, "avg_o3": 137.2}, {"date": "2025-05-09", "avg_pm25": 21.9, "avg_pm10": 29.1, "avg_aqi": 62.2, "avg_no2": 8.1, "avg_o3": 136.8}, {"date": "2025-05-10", "avg_pm25": 25.6, "avg_pm10": 31.1, "avg_aqi": 57.6, "avg_no2": 6.3, "avg_o3": 128.2}, {"date": "2025-05-11", "avg_pm25": 29.0, "avg_pm10": 37.0, "avg_aqi": 63.7, "avg_no2": 6.6, "avg_o3": 126.1}, {"date": "2025-05-12", "avg_pm25": 29.5, "avg_pm10": 36.9, "avg_aqi": 66.8, "avg_no2": 8.1, "avg_o3": 136.0}, {"date": "2025-05-13", "avg_pm25": 33.1, "avg_pm10": 41.0, "avg_aqi": 67.2, "avg_no2": 8.2, "avg_o3": 138.2}, {"date": "2025-05-14", "avg_pm25": 22.3, "avg_pm10": 28.0, "avg_aqi": 62.1, "avg_no2": 6.4, "avg_o3": 118.1}, {"date": "2025-05-15", "avg_pm25": 27.5, "avg_pm10": 32.1, "avg_aqi": 59.2, "avg_no2": 7.0, "avg_o3": 123.8}, {"date": "2025-05-16", "avg_pm25": 28.8, "avg_pm10": 31.9, "avg_aqi": 64.8, "avg_no2": 6.2, "avg_o3": 136.6}, {"date": "2025-05-17", "avg_pm25": 36.8, "avg_pm10": 38.4, "avg_aqi": 65.5, "avg_no2": 10.4, "avg_o3": 133.4}, {"date": "2025-05-18", "avg_pm25": 26.3, "avg_pm10": 28.2, "avg_aqi": 68.5, "avg_no2": 10.2, "avg_o3": 104.3}, {"date": "2025-05-19", "avg_pm25": 7.2, "avg_pm10": 8.1, "avg_aqi": 31.6, "avg_no2": 11.3, "avg_o3": 53.8}, {"date": "2025-05-20", "avg_pm25": 20.6, "avg_pm10": 21.1, "avg_aqi": 46.2, "avg_no2": 14.2, 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69.6}, {"date": "2025-05-30", "avg_pm25": 15.5, "avg_pm10": 22.1, "avg_aqi": 32.5, "avg_no2": 15.6, "avg_o3": 67.2}, {"date": "2025-05-31", "avg_pm25": 21.7, "avg_pm10": 38.6, "avg_aqi": 42.6, "avg_no2": 16.2, "avg_o3": 80.4}, {"date": "2025-06-01", "avg_pm25": 23.2, "avg_pm10": 38.5, "avg_aqi": 58.9, "avg_no2": 14.2, "avg_o3": 95.9}, {"date": "2025-06-02", "avg_pm25": 22.1, "avg_pm10": 32.7, "avg_aqi": 52.6, "avg_no2": 11.4, "avg_o3": 96.5}, {"date": "2025-06-03", "avg_pm25": 17.3, "avg_pm10": 24.0, "avg_aqi": 49.7, "avg_no2": 10.9, "avg_o3": 93.6}, {"date": "2025-06-04", "avg_pm25": 17.5, "avg_pm10": 26.3, "avg_aqi": 45.7, "avg_no2": 9.4, "avg_o3": 102.8}, {"date": "2025-06-05", "avg_pm25": 21.5, "avg_pm10": 45.5, "avg_aqi": 43.8, "avg_no2": 8.1, "avg_o3": 92.7}, {"date": "2025-06-06", "avg_pm25": 27.1, "avg_pm10": 52.2, "avg_aqi": 61.0, "avg_no2": 7.0, "avg_o3": 110.0}, {"date": "2025-06-07", "avg_pm25": 31.9, "avg_pm10": 58.3, "avg_aqi": 64.3, "avg_no2": 11.8, "avg_o3": 112.2}, 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{"date": "2025-06-17", "avg_pm25": 12.0, "avg_pm10": 13.9, "avg_aqi": 34.5, "avg_no2": 14.2, "avg_o3": 73.4}, {"date": "2025-06-18", "avg_pm25": 12.6, "avg_pm10": 16.7, "avg_aqi": 33.9, "avg_no2": 10.7, "avg_o3": 76.1}, {"date": "2025-06-19", "avg_pm25": 12.9, "avg_pm10": 17.3, "avg_aqi": 36.1, "avg_no2": 10.5, "avg_o3": 77.8}, {"date": "2025-06-20", "avg_pm25": 15.2, "avg_pm10": 22.9, "avg_aqi": 39.0, "avg_no2": 10.1, "avg_o3": 86.1}, {"date": "2025-06-21", "avg_pm25": 17.9, "avg_pm10": 28.4, "avg_aqi": 40.0, "avg_no2": 12.6, "avg_o3": 82.5}, {"date": "2025-06-22", "avg_pm25": 13.4, "avg_pm10": 19.3, "avg_aqi": 34.9, "avg_no2": 13.8, "avg_o3": 63.6}, {"date": "2025-06-23", "avg_pm25": 9.3, "avg_pm10": 12.0, "avg_aqi": 25.7, "avg_no2": 13.8, "avg_o3": 53.8}, {"date": "2025-06-24", "avg_pm25": 12.7, "avg_pm10": 18.2, "avg_aqi": 26.1, "avg_no2": 15.3, "avg_o3": 53.3}, {"date": "2025-06-25", "avg_pm25": 12.1, "avg_pm10": 18.7, "avg_aqi": 27.2, "avg_no2": 13.1, "avg_o3": 52.8}, {"date": 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"avg_pm10": 59.1, "avg_aqi": 83.1, "avg_no2": 8.2, "avg_o3": 128.0}, {"date": "2026-02-17", "avg_pm25": 36.5, "avg_pm10": 40.4, "avg_aqi": 77.2, "avg_no2": 6.1, "avg_o3": 122.8}, {"date": "2026-02-18", "avg_pm25": 32.3, "avg_pm10": 38.3, "avg_aqi": 66.6, "avg_no2": 6.2, "avg_o3": 115.0}, {"date": "2026-02-19", "avg_pm25": 24.3, "avg_pm10": 30.4, "avg_aqi": 63.7, "avg_no2": 5.1, "avg_o3": 112.8}, {"date": "2026-02-20", "avg_pm25": 29.5, "avg_pm10": 35.2, "avg_aqi": 56.6, "avg_no2": 3.9, "avg_o3": 111.1}, {"date": "2026-02-21", "avg_pm25": 24.5, "avg_pm10": 29.2, "avg_aqi": 63.1, "avg_no2": 3.7, "avg_o3": 103.5}, {"date": "2026-02-22", "avg_pm25": 14.5, "avg_pm10": 17.9, "avg_aqi": 41.6, "avg_no2": 3.8, "avg_o3": 69.3}, {"date": "2026-02-23", "avg_pm25": 7.4, "avg_pm10": 9.8, "avg_aqi": 23.8, "avg_no2": 4.9, "avg_o3": 55.7}, {"date": "2026-02-24", "avg_pm25": 11.0, "avg_pm10": 14.0, "avg_aqi": 26.3, "avg_no2": 4.5, "avg_o3": 65.8}, {"date": "2026-02-25", "avg_pm25": 17.0, "avg_pm10": 20.0, "avg_aqi": 28.9, "avg_no2": 6.8, "avg_o3": 68.7}, {"date": "2026-02-26", "avg_pm25": 31.6, "avg_pm10": 33.9, "avg_aqi": 53.2, "avg_no2": 12.3, "avg_o3": 90.4}, {"date": "2026-02-27", "avg_pm25": 39.2, "avg_pm10": 42.1, "avg_aqi": 68.9, "avg_no2": 9.6, "avg_o3": 98.9}, {"date": "2026-02-28", "avg_pm25": 53.6, "avg_pm10": 57.7, "avg_aqi": 75.5, "avg_no2": 8.2, "avg_o3": 98.2}, {"date": "2026-03-01", "avg_pm25": 50.3, "avg_pm10": 54.5, "avg_aqi": 83.2, "avg_no2": 7.8, "avg_o3": 98.8}, {"date": "2026-03-02", "avg_pm25": 45.1, "avg_pm10": 49.5, "avg_aqi": 78.6, "avg_no2": 9.7, "avg_o3": 105.5}, {"date": "2026-03-03", "avg_pm25": 41.6, "avg_pm10": 46.4, "avg_aqi": 74.0, "avg_no2": 11.6, "avg_o3": 110.0}, {"date": "2026-03-04", "avg_pm25": 36.2, "avg_pm10": 40.8, "avg_aqi": 71.8, "avg_no2": 11.7, "avg_o3": 89.6}, {"date": "2026-03-05", "avg_pm25": 30.6, "avg_pm10": 34.5, "avg_aqi": 67.5, "avg_no2": 11.9, "avg_o3": 81.7}, {"date": "2026-03-06", "avg_pm25": 26.9, "avg_pm10": 30.7, "avg_aqi": 60.1, "avg_no2": 9.8, "avg_o3": 89.1}, {"date": "2026-03-07", "avg_pm25": 29.7, "avg_pm10": 37.0, "avg_aqi": 64.7, "avg_no2": 6.6, "avg_o3": 84.3}, {"date": "2026-03-08", "avg_pm25": 23.2, "avg_pm10": 33.1, "avg_aqi": 59.4, "avg_no2": 5.8, "avg_o3": 72.0}, {"date": "2026-03-09", "avg_pm25": 33.1, "avg_pm10": 45.5, "avg_aqi": 59.8, "avg_no2": 6.6, "avg_o3": 84.5}, {"date": "2026-03-10", "avg_pm25": 23.9, "avg_pm10": 30.9, "avg_aqi": 64.9, "avg_no2": 7.1, "avg_o3": 70.7}, {"date": "2026-03-11", "avg_pm25": 20.7, "avg_pm10": 25.4, "avg_aqi": 44.1, "avg_no2": 8.1, "avg_o3": 69.2}, {"date": "2026-03-12", "avg_pm25": 24.4, "avg_pm10": 28.7, "avg_aqi": 52.5, "avg_no2": 8.7, "avg_o3": 70.8}, {"date": "2026-03-13", "avg_pm25": 16.8, "avg_pm10": 21.2, "avg_aqi": 43.4, "avg_no2": 7.6, "avg_o3": 62.9}, {"date": "2026-03-14", "avg_pm25": 12.7, "avg_pm10": 16.2, "avg_aqi": 30.9, "avg_no2": 6.5, "avg_o3": 64.9}, {"date": "2026-03-15", "avg_pm25": 10.0, "avg_pm10": 13.1, "avg_aqi": 26.4, "avg_no2": 6.3, "avg_o3": 63.5}, {"date": "2026-03-16", "avg_pm25": 8.5, "avg_pm10": 11.3, "avg_aqi": 27.3, "avg_no2": 6.1, "avg_o3": 67.8}, {"date": "2026-03-17", "avg_pm25": 8.5, "avg_pm10": 11.7, "avg_aqi": 27.4, "avg_no2": 5.3, "avg_o3": 68.3}, {"date": "2026-03-18", "avg_pm25": 8.5, "avg_pm10": 11.8, "avg_aqi": 22.1, "avg_no2": 6.3, "avg_o3": 55.5}, {"date": "2026-03-19", "avg_pm25": 8.2, "avg_pm10": 10.6, "avg_aqi": 29.5, "avg_no2": 7.2, "avg_o3": 73.6}]}

data/dataset_meta.json

@@ -0,0 +1,111 @@
+{
+  "built_at": "2026-03-21T19:41:52.965783",
+  "location": "Chennai, India (13.08N, 80.27E)",
+  "data_sources": [
+    "Open-Meteo Archive",
+    "USGS Earthquake API",
+    "Open-Meteo AQI"
+  ],
+  "weather": {
+    "period": "2021-03-15 to 2026-03-14",
+    "total_days": 1826,
+    "avg_temp_max_c": 31.9,
+    "max_temp_ever_c": 41.0,
+    "min_temp_ever_c": 24.0,
+    "avg_daily_precip_mm": 4.44,
+    "max_single_day_rain": 255.8,
+    "avg_wind_kmh": 18.1,
+    "max_wind_kmh": 53.1,
+    "monthly_total_precip_mm": {
+      "1": 230.4,
+      "2": 19.2,
+      "3": 71.4,
+      "4": 73.8,
+      "5": 520.2,
+      "6": 343.6,
+      "7": 620.1,
+      "8": 866.0,
+      "9": 745.7,
+      "10": 1257.4,
+      "11": 2133.6,
+      "12": 1231.7
+    },
+    "yearly_summary": {
+      "2021": {
+        "avg_temp_max": 32.0,
+        "total_precip_mm": 1626.3
+      },
+      "2022": {
+        "avg_temp_max": 31.3,
+        "total_precip_mm": 1441.4
+      },
+      "2023": {
+        "avg_temp_max": 32.0,
+        "total_precip_mm": 1625.2
+      },
+      "2024": {
+        "avg_temp_max": 32.2,
+        "total_precip_mm": 1610.5
+      },
+      "2025": {
+        "avg_temp_max": 32.4,
+        "total_precip_mm": 1699.8
+      },
+      "2026": {
+        "avg_temp_max": 29.2,
+        "total_precip_mm": 109.9
+      }
+    },
+    "peak_monsoon_months": "June-November (Northeast monsoon dominant Oct-Dec)",
+    "heatwave_season": "March-June (temps frequently exceed 38C)",
+    "cyclone_peak_season": "October-December (Bay of Bengal cyclogenesis)"
+  },
+  "earthquakes": {
+    "total_events_5yr": 23,
+    "avg_magnitude": 4.58,
+    "max_magnitude": 5.1,
+    "region": "Bay of Bengal / South India (~1000km radius from Chennai)",
+    "risk_note": "Chennai on stable Deccan shield. Major risk from Bay of Bengal subduction zone."
+  },
+  "aqi": {
+    "total_days": 0,
+    "avg_aqi": null,
+    "max_aqi": null,
+    "context": "Typically moderate (50-100). Winter spikes (Nov-Jan) from crop burning and low wind."
+  },
+  "notable_events": [
+    {
+      "event": "Cyclone Michaung",
+      "date": "December 2023",
+      "impact": "Category 1 landfall, severe Chennai flooding, 2500mm rain in 48hr"
+    },
+    {
+      "event": "2015 Chennai Floods",
+      "date": "November-December 2015",
+      "impact": "Worst flooding in 100 years, 500+ deaths, $3B damage"
+    },
+    {
+      "event": "2004 Indian Ocean Tsunami",
+      "date": "December 26 2004",
+      "impact": "Mag 9.1 Sumatra earthquake, Chennai coastline devastated"
+    },
+    {
+      "event": "Cyclone Vardah",
+      "date": "December 2016",
+      "impact": "Direct hit Chennai, 100+ km/h winds, widespread damage"
+    },
+    {
+      "event": "Cyclone Nivar",
+      "date": "November 2020",
+      "impact": "Very severe cyclone, landfall near Puducherry, heavy Chennai rain"
+    }
+  ],
+  "climate_patterns": {
+    "type": "Tropical wet and dry (Koppen Aw)",
+    "annual_rainfall_mm": "~1400mm avg, 60% from Northeast monsoon Oct-Dec",
+    "sea_surface_temp": "Bay of Bengal 28-30C peak Jun-Oct (cyclone fuel)",
+    "urban_heat_island": "UHI adds +1.5 to 2.5C vs rural",
+    "warming_trend": "Max temps rising ~0.3C per decade since 1980",
+    "flood_risk_zones": "Adyar, Cooum, Buckingham Canal flood plains highest risk"
+  }
+}

data/earthquake_history.json

@@ -0,0 +1 @@
+{"region": "Bay of Bengal / South India", "period_start": "2021-03-22", "period_end": "2026-03-21", "total_events": 23, "events": [{"id": "us7000s0pc", "time": "2026-02-27T07:52:25Z", "magnitude": 5, "place": "23 km SSE of S\u0101tkhira, Bangladesh", "longitude": 89.1853, "latitude": 22.5236, "depth_km": 10}, {"id": "us6000pv8n", "time": "2025-02-25T00:40:20Z", "magnitude": 5.1, "place": "224 km ESE of Par\u0101d\u012bp Garh, India", "longitude": 88.4613, "latitude": 19.2977, "depth_km": 10}, {"id": "us7000nvs3", "time": "2024-12-04T01:56:58Z", "magnitude": 5, "place": "49 km NE of Mulugu, India", "longitude": 80.3296, "latitude": 18.4471, "depth_km": 10}, {"id": "us7000nvp4", "time": "2024-11-17T18:39:54Z", "magnitude": 4.5, "place": "North Indian Ocean", "longitude": 88.6924, "latitude": 3.2614, "depth_km": 10}, {"id": "us7000ns0n", "time": "2024-10-29T03:52:27Z", "magnitude": 4.3, "place": "Bay of Bengal", "longitude": 88.4428, "latitude": 11.1211, "depth_km": 10}, {"id": "us7000nmel", "time": "2024-09-30T08:06:58Z", "magnitude": 4.4, "place": "22 km NNW of Anjangaon, India", "longitude": 77.2016, "latitude": 21.343, "depth_km": 10}, {"id": "us7000nguk", "time": "2024-09-23T19:03:59Z", "magnitude": 4.2, "place": "173 km SSE of Gos\u0101ba, India", "longitude": 89.4934, "latitude": 20.7407, "depth_km": 10}, {"id": "us7000my69", "time": "2024-07-10T01:44:52Z", "magnitude": 4.4, "place": "18 km NE of Basmat, India", "longitude": 77.2915, "latitude": 19.4402, "depth_km": 10}, {"id": "us7000mq2i", "time": "2024-05-27T15:26:45Z", "magnitude": 4.6, "place": "293 km W of Kulhudhuffushi, Maldives", "longitude": 70.4316, "latitude": 6.3587, "depth_km": 10}, {"id": "us7000mcym", "time": "2024-04-10T18:45:49Z", "magnitude": 4.6, "place": "66 km SSE of Kavaratti, India", "longitude": 72.9404, "latitude": 10.0467, "depth_km": 10}, {"id": "us6000mk51", "time": "2024-03-21T00:38:31Z", "magnitude": 4.6, "place": "20 km NNE of Basmat, India", "longitude": 77.2545, "latitude": 19.4899, "depth_km": 10}, {"id": "us7000l76c", "time": "2023-10-28T11:09:16Z", "magnitude": 4.7, "place": "Bay of Bengal", "longitude": 88.2129, "latitude": 6.5874, "depth_km": 10.014}, {"id": "us6000lbpm", "time": "2023-09-25T04:07:55Z", "magnitude": 4.4, "place": "Bay of Bengal", "longitude": 88.5466, "latitude": 7.6226, "depth_km": 10}, {"id": "us6000j86n", "time": "2022-12-06T19:54:42Z", "magnitude": 4.5, "place": "North Indian Ocean", "longitude": 89.8244, "latitude": 5.5405, "depth_km": 10}, {"id": "us6000j6yh", "time": "2022-12-05T03:02:58Z", "magnitude": 4.9, "place": "Bay of Bengal", "longitude": 89.8755, "latitude": 19.1042, "depth_km": 45.293}, {"id": "us6000i21t", "time": "2022-07-13T07:48:10Z", "magnitude": 4.8, "place": "Bay of Bengal", "longitude": 85.9923, "latitude": 7.0288, "depth_km": 10}, {"id": "us6000i13p", "time": "2022-07-09T00:52:02Z", "magnitude": 4.5, "place": "Karnataka, India", "longitude": 75.7188, "latitude": 16.9254, "depth_km": 10}, {"id": "us7000gfxf", "time": "2022-01-22T08:46:23Z", "magnitude": 4.2, "place": "132 km SE of Narasannapeta, India", "longitude": 84.9267, "latitude": 17.562, "depth_km": 10}, {"id": "us6000fuwm", "time": "2021-10-11T16:24:38Z", "magnitude": 4.3, "place": "7 km ENE of Sh?h?b?d, India", "longitude": 77.0051, "latitude": 17.1543, "depth_km": 10}, {"id": "us7000ff7l", "time": "2021-09-23T19:48:30Z", "magnitude": 4.5, "place": "Laccadive Sea", "longitude": 78.943, "latitude": 5.5906, "depth_km": 10}, {"id": "us7000f2x8", "time": "2021-08-24T07:05:53Z", "magnitude": 5.1, "place": "257 km SSE of R?zole, India", "longitude": 83.0456, "latitude": 14.4654, "depth_km": 10}, {"id": "us7000ef8p", "time": "2021-06-17T11:14:32Z", "magnitude": 4.6, "place": "Bay of Bengal", "longitude": 85.0001, "latitude": 6.592, "depth_km": 10}, {"id": "us7000e51v", "time": "2021-05-16T22:07:22Z", "magnitude": 4.1, "place": "41 km S of R?jula, India", "longitude": 71.4793, "latitude": 20.6607, "depth_km": 10}]}

data/flood_baseline.json

@@ -0,0 +1,4 @@
+{
+  "location": "Chennai",
+  "baselines": {}
+}

data/llm_context.json

@@ -0,0 +1,111 @@
+{
+  "built_at": "2026-03-21T19:42:53.519462",
+  "location": "Chennai, India (13.08N, 80.27E)",
+  "data_sources": [
+    "Open-Meteo Archive",
+    "USGS Earthquake API",
+    "Open-Meteo AQI"
+  ],
+  "weather": {
+    "period": "2021-03-15 to 2026-03-14",
+    "total_days": 1826,
+    "avg_temp_max_c": 31.9,
+    "max_temp_ever_c": 41.0,
+    "min_temp_ever_c": 24.0,
+    "avg_daily_precip_mm": 4.44,
+    "max_single_day_rain": 255.8,
+    "avg_wind_kmh": 18.1,
+    "max_wind_kmh": 53.1,
+    "monthly_total_precip_mm": {
+      "1": 230.4,
+      "2": 19.2,
+      "3": 71.4,
+      "4": 73.8,
+      "5": 520.2,
+      "6": 343.6,
+      "7": 620.1,
+      "8": 866.0,
+      "9": 745.7,
+      "10": 1257.4,
+      "11": 2133.6,
+      "12": 1231.7
+    },
+    "yearly_summary": {
+      "2021": {
+        "avg_temp_max": 32.0,
+        "total_precip_mm": 1626.3
+      },
+      "2022": {
+        "avg_temp_max": 31.3,
+        "total_precip_mm": 1441.4
+      },
+      "2023": {
+        "avg_temp_max": 32.0,
+        "total_precip_mm": 1625.2
+      },
+      "2024": {
+        "avg_temp_max": 32.2,
+        "total_precip_mm": 1610.5
+      },
+      "2025": {
+        "avg_temp_max": 32.4,
+        "total_precip_mm": 1699.8
+      },
+      "2026": {
+        "avg_temp_max": 29.2,
+        "total_precip_mm": 109.9
+      }
+    },
+    "peak_monsoon_months": "June-November (Northeast monsoon dominant Oct-Dec)",
+    "heatwave_season": "March-June (temps frequently exceed 38C)",
+    "cyclone_peak_season": "October-December (Bay of Bengal cyclogenesis)"
+  },
+  "earthquakes": {
+    "total_events_5yr": 23,
+    "avg_magnitude": 4.58,
+    "max_magnitude": 5.1,
+    "region": "Bay of Bengal / South India (~1000km radius from Chennai)",
+    "risk_note": "Chennai on stable Deccan shield. Major risk from Bay of Bengal subduction zone."
+  },
+  "aqi": {
+    "total_days": 366,
+    "avg_aqi": 49.2,
+    "max_aqi": 96.6,
+    "context": "Typically moderate (50-100). Winter spikes (Nov-Jan) from crop burning and low wind."
+  },
+  "notable_events": [
+    {
+      "event": "Cyclone Michaung",
+      "date": "December 2023",
+      "impact": "Category 1 landfall, severe Chennai flooding, 2500mm rain in 48hr"
+    },
+    {
+      "event": "2015 Chennai Floods",
+      "date": "November-December 2015",
+      "impact": "Worst flooding in 100 years, 500+ deaths, $3B damage"
+    },
+    {
+      "event": "2004 Indian Ocean Tsunami",
+      "date": "December 26 2004",
+      "impact": "Mag 9.1 Sumatra earthquake, Chennai coastline devastated"
+    },
+    {
+      "event": "Cyclone Vardah",
+      "date": "December 2016",
+      "impact": "Direct hit Chennai, 100+ km/h winds, widespread damage"
+    },
+    {
+      "event": "Cyclone Nivar",
+      "date": "November 2020",
+      "impact": "Very severe cyclone, landfall near Puducherry, heavy Chennai rain"
+    }
+  ],
+  "climate_patterns": {
+    "type": "Tropical wet and dry (Koppen Aw)",
+    "annual_rainfall_mm": "~1400mm avg, 60% from Northeast monsoon Oct-Dec",
+    "sea_surface_temp": "Bay of Bengal 28-30C peak Jun-Oct (cyclone fuel)",
+    "urban_heat_island": "UHI adds +1.5 to 2.5C vs rural",
+    "warming_trend": "Max temps rising ~0.3C per decade since 1980",
+    "flood_risk_zones": "Adyar, Cooum, Buckingham Canal flood plains highest risk"
+  }
+}

groq_llm.py

@@ -40,7 +40,7 @@ def _load_llm_context() -> dict:
         if age_hours < _CONTEXT_TTL_HOURS:
             return _context_cache
 
-    context_path = "data/llm_context.json"
+    context_path = "llm_context.json"
     if os.path.exists(context_path):
         try:
             with open(context_path) as f:

main.py

@@ -41,6 +41,20 @@ app.add_middleware(
     expose_headers=["*"],
 )
 
+
+@app.get("/debug-paths")
+def debug_paths():
+    import os as _os
+    cwd = _os.getcwd()
+    files_in_cwd = _os.listdir(cwd)
+    return {
+        "cwd": cwd,
+        "files_in_cwd": files_in_cwd,
+        "weather_history_exists": _os.path.exists("weather_history.json"),
+        "data_folder_exists": _os.path.exists("data"),
+        "data_files": _os.listdir("data") if _os.path.exists("data") else [],
+    }
+
 @app.get("/ping")
 def ping():
     return {"status": "ok", "time": datetime.now().isoformat(), "version": "3.5-pro"}
@@ -249,7 +263,7 @@ def fetch_training_data(days: int = 90):
     """
     import os as _os
     import json as _json
-    dataset_path = "data/weather_history.json"
+    dataset_path = "weather_history.json"
 
     # ── Try loading from saved dataset first ──────────────────────
     if _os.path.exists(dataset_path):
@@ -2123,7 +2137,7 @@ def refresh_dataset():
         return {
             "status": "started",
             "message": "Dataset rebuild started in background. Check data/ folder in ~2 minutes.",
-            "files_to_update": ["data/weather_history.json","data/earthquake_history.json","data/aqi_history.json","data/flood_baseline.json","data/llm_context.json"],
+            "files_to_update": ["weather_history.json","earthquake_history.json","aqi_history.json","flood_baseline.json","llm_context.json"],
         }
     except Exception as e:
         return {"status": "error", "message": str(e)}
@@ -2134,11 +2148,11 @@ def dataset_status():
     """Check which dataset files exist and when they were last updated."""
     import os as _os, json as _json
     files = {
-        "weather_history":    "data/weather_history.json",
-        "earthquake_history": "data/earthquake_history.json",
-        "aqi_history":        "data/aqi_history.json",
-        "flood_baseline":     "data/flood_baseline.json",
-        "llm_context":        "data/llm_context.json",
+        "weather_history":    "weather_history.json",
+        "earthquake_history": "earthquake_history.json",
+        "aqi_history":        "aqi_history.json",
+        "flood_baseline":     "flood_baseline.json",
+        "llm_context":        "llm_context.json",
     }
     result = {}
     for key, path in files.items():

pyrightconfig.json

@@ -0,0 +1,19 @@
+{
+    "pythonVersion": "3.14",
+    "pythonPlatform": "Windows",
+    "reportMissingModuleSource": false,
+    "reportMissingImports": false,
+    "reportGeneralTypeIssues": false,
+    "reportOptionalMemberAccess": false,
+    "reportIndexIssue": false,
+    "typeCheckingMode": "off",
+    "executionEnvironments": [
+        {
+            "root": ".",
+            "extraPaths": [
+                "."
+            ],
+            "pythonPath": "C:\\Users\\acer\\AppData\\Local\\Programs\\Python\\Python314\\python.exe"
+        }
+    ]
+}

requirements.txt

@@ -1,13 +1,13 @@
-fastapi
-uvicorn
-requests
-numpy
-scikit-learn
-xgboost
-lightgbm
-python-dotenv
-google-generativeai
-groq
-typing-extensions
-python-multipart
-dateparser
+fastapi
+uvicorn
+requests
+numpy
+scikit-learn
+xgboost
+lightgbm
+python-dotenv
+google-generativeai
+groq
+typing-extensions
+python-multipart
+dateparser

test_output.json

@@ -0,0 +1,17 @@
+[
+  {
+    "query": "compare weather in 2025 and 2024",
+    "intents": [
+      "weather_comparison",
+      "weather_history"
+    ],
+    "analysis": "To compare the weather in 2025 and 2024, let's look at the historical data for March 14th of both years.\n\nIn 2024, on March 14th, the maximum temperature was 33.5\u00b0C and the minimum temperature was 24.8\u00b0C, with a maximum wind speed of 22.0 km/h.\n\nIn 2025, on March 14th, the maximum temperature was 33.4\u00b0C and the minimum temperature was 24.7\u00b0C, with a maximum wind speed of 16.2 km/h.\n\nThe difference between the two years is:\n- Maximum temperature: 2024 (33.5\u00b0C) was 0.1\u00b0C higher than 2025 (33.4\u00b0C)\n- Minimum temperature: 2024 (24.8\u00b0C) was 0.1\u00b0C higher than 2025 (24.7\u00b0C)\n- Maximum wind speed: 2024 (22.0 km/h) was 5.8 km/h higher than 2025 (16.2 km/h)\n\nNote that the data is only available for March 14th of both years, so this comparison is limited to that specific date."
+  },
+  {
+    "query": "what is the trend from 2022 to 2026",
+    "intents": [
+      "weather_comparison"
+    ],
+    "analysis": "The trend from 2022 to 2026 in Chennai, India, shows variations in temperature and precipitation. \nOn March 14th of each year, the maximum temperatures were: 32.5\u00b0C in 2022, 31.2\u00b0C in 2023, 33.5\u00b0C in 2024, 33.4\u00b0C in 2025, and a forecasted 33.4\u00b0C in 2026.\nThe highest maximum temperature was 33.5\u00b0C in 2024, and the lowest was 31.2\u00b0C in 2023.\nThe minimum temperatures on the same dates were: 22.1\u00b0C in 2022, 23.4\u00b0C in 2023, 24.8\u00b0C in 2024, 24.7\u00b0C in 2025, and a forecasted 24.1\u00b0C in 2026.\nThere was no precipitation on March 14th in the years 2022, 2023, 2024, and 2025, but the forecast for 2026 shows no precipitation on the 14th as well."
+  }
+]