refactor: reorganize analysis data to support multiple runs
Strategy: key runs by bicorder version (not date), promote shared inputs
to analysis/data/, and stamp every output with its bicorder_version so
a re-run on edited gradients is self-describing.
Data layout:
- Promote the shared protocol inputs out of the run directory:
analysis/data/protocols_edited.csv (411 cleaned protocols)
analysis/data/protocols_raw.csv (774 un-cleaned entries)
- Rename the v1.2.6 synthetic run:
data/synthetic_20251116/ -> data/synthetic_1.2.6/
so the bicorder version it was scored against is explicit (gradient
structure changes between versions make date-based names ambiguous)
Provenance:
- bicorder_analyze.py now writes a 'bicorder_version' column into every
output readings.csv, recording which gradient structure produced it
Scripts:
- Update the real code defaults that pointed at the old run path
(bicorder_classifier.py, classify_readings.py, sync_readings.sh,
compare_analyses.py) and refresh docstring/help examples
- Remove a stray committed __pycache__/.pyc
Docs: analysis/README.md documents the new layout + how to add a run;
WORKFLOW.md, TEST_COMMANDS.md, INTEGRATION_GUIDE.md paths updated.
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@@ -9,7 +9,7 @@ classified — though with lower confidence.
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Usage:
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python3 scripts/classify_readings.py data/manual_20260320/readings.csv
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python3 scripts/classify_readings.py data/manual_20260320/readings.csv \\
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--training data/synthetic_20251116/readings.csv \\
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--training data/synthetic_1.2.6/readings.csv \\
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--output data/manual_20260320/analysis/classifications.csv
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"""
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@@ -29,8 +29,8 @@ def main():
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parser.add_argument('input_csv', help='Readings CSV to classify')
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parser.add_argument(
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'--training',
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default='data/synthetic_20251116/readings.csv',
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help='Training CSV for classifier (default: synthetic_20251116)'
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default='data/synthetic_1.2.6/readings.csv',
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help='Training CSV for classifier (default: synthetic_1.2.6)'
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)
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parser.add_argument(
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'--output', default=None,
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