chore: remove dead code directories and files

src/data_mining/fetch_history.py

@@ -1,97 +0,0 @@
-import os
-import sys
-import logging
-import pandas as pd
-import requests
-
-# Set up logging
-logging.basicConfig(
-    level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s"
-)
-
-
-def fetch_historical_data_for_city(city_info, output_dir):
-    city_name = city_info["city"]
-    lat = city_info["latitude"]
-    lon = city_info["longitude"]
-
-    # We will fetch data from Jan 1, 2023 to yesterday (or to latest available)
-    start_date = "2023-01-01"
-    # For safety let's use a dynamic yesterday end_date
-    import datetime
-
-    today = datetime.datetime.now()
-    yesterday = (today - datetime.timedelta(days=2)).strftime("%Y-%m-%d")
-
-    url = (
-        f"https://archive-api.open-meteo.com/v1/archive?latitude={lat}&longitude={lon}"
-        f"&start_date={start_date}&end_date={yesterday}"
-        "&hourly=temperature_2m,relative_humidity_2m,wind_speed_10m,wind_direction_10m,"
-        "cloud_cover,shortwave_radiation,precipitation,surface_pressure"
-        "&timezone=auto"
-    )
-
-    logging.info(
-        f"Downloading historical data for {city_name} (Lat: {lat}, Lon: {lon})..."
-    )
-
-    try:
-        response = requests.get(url, timeout=60)
-        response.raise_for_status()
-        data = response.json()
-
-        if "hourly" not in data:
-            logging.error(f"Failed to find 'hourly' data for {city_name}.")
-            return
-
-        hourly_data = data["hourly"]
-
-        # Convert to pandas DataFrame
-        df = pd.DataFrame(hourly_data)
-
-        # Save to CSV
-        output_path = os.path.join(
-            output_dir, f"{city_name.replace(' ', '_').lower()}_historical.csv"
-        )
-        df.to_csv(output_path, index=False)
-
-        logging.info(
-            f"✅ Successfully saved historical data for {city_name} to {output_path}. Shape: {df.shape}"
-        )
-
-    except requests.exceptions.RequestException as e:
-        logging.error(f"❌ Network error while fetching data for {city_name}: {e}")
-    except Exception as e:
-        logging.error(f"❌ Error processing data for {city_name}: {e}")
-
-
-def main():
-    project_root = os.path.dirname(
-        os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
-    )
-    config_path = os.path.join(project_root, "config", "config.yaml")
-    output_dir = os.path.join(project_root, "data", "historical")
-
-    os.makedirs(output_dir, exist_ok=True)
-
-    # Load config
-    try:
-        import yaml
-
-        with open(config_path, "r", encoding="utf-8") as f:
-            config = yaml.safe_load(f)
-    except Exception as e:
-        logging.error(f"Failed to load {config_path}: {e}")
-        sys.exit(1)
-
-    cities = config.get("cities", [])
-    if not cities:
-        logging.warning("No cities found in config.yaml")
-        return
-
-    for city_info in cities:
-        fetch_historical_data_for_city(city_info, output_dir)
-
-
-if __name__ == "__main__":
-    main()

src/models/__init__.py

@@ -1 +0,0 @@
-"""Model adapters and feature builders."""

src/onchain/__init__.py

@@ -1 +0,0 @@
-"""On-chain monitoring modules."""