"""Single entry point: regenerates every table and figure of the seti_meta study.

    python3 code/run_all.py            # uses cached raw downloads if present
    python3 code/run_all.py --offline  # never touch the network (fails if the raw cache is missing)

Steps
  1. fetch_data       download Technosearch, VizieR, CDS XMatch and Gaia tables into the raw directory
                      (fermi_raw/seti_meta, override with SETI_META_RAW); cached
  2. make_compilation write data/surveys_compilation.csv (hand-transcribed literature table) and check every
                      arXiv identifier in it against the arXiv API (data/arxiv_verification.csv)
  3. coverage         N_cov(L, nu) per survey component, Galaxy-model validation
  4. analysis         limits, behaviour scenarios, robustness variants, posteriors, Dyson limits
  5. figures          figures/*.png
  6. seti_likelihood  self-test of the integrator function
  7. make_report      report.md, with every number filled in from the tables written above
Runtime: about 5 minutes on one core once the raw files are cached.
"""
import os
import runpy
import sys
import time

HERE = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, HERE)
os.chdir(HERE)


def main():
    t0 = time.time()
    import fetch_data
    if "--offline" not in sys.argv:
        fetch_data.main()
    runpy.run_path(os.path.join(HERE, "make_compilation.py"), run_name="__main__")
    fetch_data.verify_arxiv(offline="--offline" in sys.argv)
    import coverage
    print("\n[coverage]"); coverage.main()
    import analysis
    V, *_ = analysis.main()
    import figures
    figures.main(V)
    print("\n[seti_likelihood self-test]")
    runpy.run_path(os.path.join(HERE, "seti_likelihood.py"), run_name="__main__")
    import make_report
    print(); make_report.main()
    print("\n[run_all] done in %.0f s" % (time.time() - t0))


if __name__ == "__main__":
    main()