scripts/merge_general_report.py

import json
import os
import glob

# Configuration for paths and filenames
base_directory = 'weather'
output_filename = 'merged_general_weather_forecast.json'

# Define a precise search pattern to find the relevant JSON files
report_type_folder = 'general_report'
file_prefix = 'general_weather_forecast'
file_pattern = os.path.join(base_directory, '*', 'weather_report', report_type_folder, f'{file_prefix}_*.json')

# Find all file paths that match the specified pattern
all_files = glob.glob(file_pattern)

if not all_files:
    print(f"No files found for pattern '{file_pattern}'. Please check the path and script location.")
else:
    print(f"Found {len(all_files)} files to merge. Starting process...")

    # The master dictionary will hold the final nested structure.
    # It is structured as: { 'timestamp1': {'regionA': {...}, 'regionB': {...}}, 'timestamp2': ... }
    master_data = {}

    for file_path in all_files:
        try:
            # Extract the region name from the file path.
            # e.g., 'Bayreuth-TenneT' is the 3rd last part of the path.
            path_parts = os.path.normpath(file_path).split(os.sep)
            region = path_parts[-3] 

            # The data in each file is a dictionary like {'20160101': {...}, '20160102': {...}}
            with open(file_path, 'r', encoding='utf-8') as f:
                region_data = json.load(f)

            # Iterate through all (timestamp, report_details) pairs in the current file
            for timestamp, report_details in region_data.items():
                timestamp_entry = master_data.setdefault(timestamp, {})
                # Under the entry for this timestamp, add the report details keyed by the region name.
                timestamp_entry[region] = report_details
            
            print(f"  - Processed and integrated: {region}")

        except Exception as e:
            print(f"An error occurred while processing file {file_path}: {e}")

    # Write the consolidated data to a new JSON file
    if master_data:
        print("\nWriting all data to the final file...")
        
        # Sort the master dictionary by timestamp (key) for better readability
        sorted_master_data = dict(sorted(master_data.items()))
        
        with open(output_filename, 'w', encoding='utf-8') as f:
            json.dump(sorted_master_data, f, indent=4, ensure_ascii=False)
        
        print(f"Merge complete!")
        print(f"All data has been aggregated by timestamp into: {output_filename}")
        print(f"The final file contains {len(master_data)} unique timestamps.")
    else:
        print("No files were processed successfully. The output file was not generated.")