mirror of
https://github.com/farcasclaudiu/xtb-investment-tools.git
synced 2026-06-22 05:01:57 +03:00
farcasclaudiu
68cfec926e
- Created requirements.txt for dependencies including pandas, numpy, openpyxl, and yfinance. - Added setup-env.sh script to set up a Python virtual environment and install required packages. - Introduced validate-export.sh script to validate the exporter module and check expected fields. - Implemented test cases in test_portfolio_performance_exporter.py to ensure correct CSV export functionality and data handling.
49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
"""Compatibility entry point for the XTB to Portfolio Performance export skill.
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The canonical implementation lives in
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`skills/xtb-portfolio-performance-export/scripts/exporter.py` so the skill
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folder can be copied and used standalone by an LLM agent. This shim preserves
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the repo API: `import portfolio_performance_exporter` and
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`python portfolio_performance_exporter.py`.
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"""
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from __future__ import annotations
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import importlib.util
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import sys
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from pathlib import Path
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_IMPL_PATH = (
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Path(__file__).resolve().parent
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/ "skills"
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/ "xtb-portfolio-performance-export"
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/ "scripts"
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/ "exporter.py"
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)
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def _load_impl():
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module_name = (
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__name__
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if __name__ != "__main__"
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else "_xtb_portfolio_performance_exporter_impl"
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)
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script_dir = _IMPL_PATH.parent
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if str(script_dir) not in sys.path:
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sys.path.insert(0, str(script_dir))
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spec = importlib.util.spec_from_file_location(module_name, _IMPL_PATH)
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if spec is None or spec.loader is None:
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raise ImportError(f"Could not load XTB Portfolio Performance implementation at {_IMPL_PATH}")
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module = importlib.util.module_from_spec(spec)
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sys.modules[module_name] = module
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if __name__ != "__main__":
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sys.modules[__name__] = module
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spec.loader.exec_module(module)
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return module
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_impl = _load_impl()
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if __name__ == "__main__":
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_impl.main_cli()
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