Add complete test data preparation system for energy trading strategy demo. Includes configuration, data generation scripts, and validation tools for 7 datasets covering electricity prices, battery capacity, renewable/conventional generation, load profiles, data centers, and mining data. Excluded from git: Actual parquet data files (data/raw/, data/processed/) can be regenerated using the provided scripts. Datasets: - electricity_prices: Day-ahead and real-time prices (5 regions) - battery_capacity: Storage system charge/discharge cycles - renewable_generation: Solar, wind, hydro with forecast errors - conventional_generation: Gas, coal, nuclear plant outputs - load_profiles: Regional demand with weather correlations - data_centers: Power demand profiles including mining operations - mining_data: Hashrate, price, profitability (mempool.space API)
47 lines
409 B
Plaintext
47 lines
409 B
Plaintext
# Data files - exclude from git
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data/raw/*.parquet
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data/processed/*.parquet
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# Python artifacts
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__pycache__/
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test/__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# Virtual environments
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venv/
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ENV/
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env/
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.venv/
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# OS
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.DS_Store
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Thumbs.db
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# Logs
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*.log
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