profit
87d0af0748
Complete working pipeline from Fountain script to validated scene JSON: - Schemas (Pydantic): all 7 layers defined upfront - Fountain parser + normalizer (Layer 1) - AI scene extractor with prompt contracts (Layer 2) - Schema validator + scene-specific semantic validator - Structured JSON logging per layer/scene execution - Versioned output writer (never overwrites) - Retry engine with 4-level failure escalation - Stop condition evaluator (per-unit + global halts) - Diff/drift detector for re-run comparison - CLI entry point with --dry-run, --scene, --test, --force - 3 test scripts (dialogue-heavy, action-heavy, nonstandard) - Expected output files for regression testing Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
8 lines
325 B
JSON
8 lines
325 B
JSON
{
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"expected_scene_count": 13,
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"expected_characters": ["MARCUS", "DR. VOSS", "LILY", "HENRY", "NURSE PATRICIA"],
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"expected_locations": ["THERAPIST'S OFFICE", "APARTMENT", "COFFEE SHOP", "HOSPITAL ROOM", "HOSPITAL CAFETERIA", "HOSPITAL HALLWAY"],
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"must_not_contain_characters": [],
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"must_not_contain_locations": []
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}
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