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
19 lines
1.1 KiB
Markdown
19 lines
1.1 KiB
Markdown
# Task 07 — Column Mapping (raw → canonical)
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## Goal
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For every `measurement_type × fingerprint`, a complete mapping of raw columns to canonical columns.
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## Input
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- `manifest/fingerprint_report.md`, `manifest/inconsistencies.csv`.
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- Target canonical schemas (ERD): `xrf_spectrum_points`, `nanoindentation_points`, `friction_data_points`, `macro_friction_points`.
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## Actions
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1. For each fingerprint create `config/column_mappings/<type>__<fingerprint>.json`: `{raw_name|position → canonical_name, unit_in, unit_out, dtype, transform(optional)}`.
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2. Resolve synonyms, reordering, unit variants; record every decision inline as `"note"`.
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3. Columns with no canonical target → escalate to Task 08 (ontology change) instead of dropping silently.
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4. `macro_friction_points` schema is PROVISIONAL — finalize from an actual macro-friction file profile here; propagate to Task 08.
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## Intermediate Result (done when)
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- Every fingerprint has a mapping file; no raw column is unmapped or undocumented.
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- Escalation list for Task 08 written to `schema/ontology_escalations.md`.
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