b173ac82a9
- adapt meta-/code-/obs- rules to the local Python benchmark pipeline - replace db-sql-ddl, code-config-env-scope, test-e2e-pytest with pipeline equivalents - add code-python-style, data-determinism, data-naming-units, bench-methodology, build-pipeline-tasks - normalize specs and README typography to ASCII per code-data-formatting - rewrite root CLAUDE.md trigger table; add .cursorrules and .gitignore - specs: pipeline plan and task specs 00-11 - rules: 19 binding rule files adapted for this project - docs: CLAUDE.md rule-trigger table - config: .cursorrules commit convention, .gitignore excluding out/ and .venv/ - docs: rewrite README.md with pipeline diagrams, setup guide, result placeholders - config: requirements.txt for the closed dependency list - datagen: make_lab_config.py writes out/config/lab_config.yaml and .done marker
944 B
944 B
Task 06 — Storage Map (As-Is / As-Designed)
Goal
Human-readable reconstruction of the storage logic: purpose of each folder level and file kind.
Input
- All Task 02–05 artifacts.
Actions
- Write
manifest/storage_map.md:- annotated folder-tree template (one exemplar branch per pattern, not all 700 GB);
- purpose of each nesting level mapped to entities (
data_note → batch → coupon/die → sample); - purpose of each file kind mapped to measurement types and attachment levels;
- deviations: folders/files violating the intended structure (from
unmatched.csv,inconsistencies.csv).
- Mark reconstructed intent vs observed fact explicitly (
AS-DESIGNED/AS-ISlabels).
Intermediate Result (done when)
storage_map.mdexplains every folder level and file kind; deviations enumerated with examples.- Phase 1 complete. Gate: fingerprint coverage 100%, unmatched files are catalogued anomalies only.