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cli

duallens_analytics.cli

Hydra CLI entry-point for DualLens Analytics.

This module showcases Hydra's @hydra.main decorator for structured configuration. Run it with:

poetry run python -m duallens_analytics.cli          # uses conf/config.yaml defaults
poetry run python -m duallens_analytics.cli llm.model=gpt-4o  # override from CLI
poetry run python -m duallens_analytics.cli --cfg job         # print resolved config

The Streamlit app (app.py) loads the same YAML via OmegaConf directly because Streamlit manages its own entry-point.

main(cfg)

Print the resolved Hydra config and run a quick smoke-test.

Source code in src/duallens_analytics/cli.py 
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@hydra.main(version_base=None, config_path=_CONF_DIR, config_name="config")
def main(cfg: DictConfig) -> None:
    """Print the resolved Hydra config and run a quick smoke-test."""
    configure_logging()
    logger.info("Hydra CLI started")
    print("=" * 60)
    print("  DualLens Analytics – Hydra Config")
    print("=" * 60)
    print(OmegaConf.to_yaml(cfg))
    print("=" * 60)

    # Quick sanity checks
    print(f"LLM model    : {cfg.llm.model}")
    print(f"Chunk size   : {cfg.chunking.chunk_size}")
    print(f"Retriever k  : {cfg.retriever.k}")
    print(f"Companies    : {list(cfg.companies)}")
    print(f"Stock period : {cfg.stock.period}")