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pirl-unc / hitlist / 24102607939
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Build:
DEFAULT BRANCH: main
Ran 07 Apr 2026 08:23PM UTC
Jobs 1
Files 15
Run time 1min
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07 Apr 2026 08:22PM UTC coverage: 33.52% (+0.6%) from 32.883%
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Unified observations table: hitlist data build (#9)

* Add unified observations table: hitlist data build

New command builds a single parquet file from IEDB + CEDAR with full
source classification from YAML overrides:

  hitlist data build                    # ~4 min, cached
  hitlist data build --with-flanking    # + proteome mapping
  hitlist data build --force            # rebuild

Result: observations.parquet in ~/.hitlist/
  4,883,371 observations
  1,445,063 unique peptides
  790 unique alleles
  24 species
  36 columns (base + classification + allele metadata)
  47 MB parquet (vs 14 GB raw CSV)

New loader with filter pushdown:
  from hitlist.observations import load_observations
  df = load_observations(mhc_class="I", species="Homo sapiens")

Load time: ~2s for filtered queries on 4.88M rows.

New files:
  hitlist/builder.py — build pipeline
  hitlist/observations.py — loader with filters
  tests/test_observations.py — 7 tests (4 require built table)

* Indexer reads from observations.parquet when available

get_index() now checks if the observations table is built and derives
study/allele counts from it (no CSV re-scan needed). Falls back to
direct CSV scanning as legacy path if observations.parquet doesn't exist.

Drops ~200 lines of separate caching infrastructure (parquet index
files in ~/.hitlist/index/) — the observations table IS the index.

478 of 1426 relevant lines covered (33.52%)

0.34 hits per line

Coverage Regressions

Lines Coverage ∆ File
70
0.0
0.0% indexer.py
53
0.0
0.0% cli.py
Jobs
ID Job ID Ran Files Coverage
1 24102607939.1 07 Apr 2026 08:23PM UTC 15
33.52
GitHub Action Run
Source Files on build 24102607939
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Coverage ∆ File Lines Relevant Covered Missed Hits/Line
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