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src/datawave/main.py

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+import argparse
+import pandas as pd
+import json
+import matplotlib.pyplot as plt
+import os
+
+
+# def load_data(file_path):
+#     # Assuming the input data file is a CSV for simplicity
+#     return pd.read_csv(file_path)
+#
+#
+# def perform_analysis(data, analysis_config, output_prefix):
+#     # Example: Perform some analysis on the data based on the config
+#     result = data.describe()  # Simple analysis: describe data
+#
+#     # Save results to CSV
+#     result_csv = f"{output_prefix}_derived_file.csv"
+#     result.to_csv(result_csv)
+#     return result_csv
+#
+#
+# def create_plots(data, output_prefix):
+#     # Example: Create and save plots
+#     sample_plot = f"{output_prefix}_sample_plot.png"
+#     analysis_plot = f"{output_prefix}_analysis_plot.png"
+#
+#     plt.figure()
+#     data.plot()
+#     plt.title('Sample Plot')
+#     plt.savefig(sample_plot)
+#
+#     plt.figure()
+#     data.hist()
+#     plt.title('Analysis Plot')
+#     plt.savefig(analysis_plot)
+#
+#     return sample_plot, analysis_plot
+#
+#
+# def main():
+#     parser = argparse.ArgumentParser(description='Data retrieval and analysis.')
+#     parser.add_argument('-i', '--input', action='append', required=True, help='Input files.')
+#     args = parser.parse_args()
+#
+#     # Input files
+#     data_file = None
+#     python_file = None
+#     json_file = None
+#
+#     for file_path in args.input:
+#         if file_path.endswith('.csv'):
+#             data_file = file_path
+#         elif file_path.endswith('.py'):
+#             python_file = file_path
+#         elif file_path.endswith('.json'):
+#             json_file = file_path
+#
+#     if not data_file or not python_file or not json_file:
+#         raise ValueError("Missing required input files.")
+#
+#     # Load JSON configuration
+#     with open(json_file, 'r') as f:
+#         config = json.load(f)
+#
+#     # Create an output directory
+#     output_dir = 'output'
+#     os.makedirs(output_dir, exist_ok=True)
+#
+#     # Set the output file prefix
+#     output_prefix = os.path.join(output_dir, os.path.splitext(os.path.basename(data_file))[0])
+#
+#     # Load and process data
+#     data = load_data(data_file)
+#
+#     # Perform analysis
+#     derived_file = perform_analysis(data, config, output_prefix)
+#
+#     # Create and save plots
+#     sample_plot, analysis_plot = create_plots(data, output_prefix)
+#
+#     # Return paths of the created files
+#     print(f"Derived file: {derived_file}")
+#     print(f"Sample plot: {sample_plot}")
+#     print(f"Analysis plot: {analysis_plot}")
+#
+#
+# if __name__ == '__main__':
+#     main()
+
+print("hello world")