5e146d5a55
* feat!: collapse pipeline — Resolver emits a flat prompt, drop categories (v1.1) BREAKING CHANGE: the Category Splitter and Prompt Builder stages and nodes are removed. The Resolver is now the translator from Scene JSON to prompt: it resolves concepts to Knowledge Base tags and joins them into one flat comma-separated prompt string, in resolution order (which naturally leads with character concepts). Resolver node outputs are now (prompt, warnings, errors, json) — the json being the traceable resolved tags so a translation problem is inspectable. Node count drops from 8 to 6. The CategoryMap/PromptOutput models and their schemas are removed; the `category` field remains on entries and resolved tags for traceability only. Debug Viewer simplified to scene/warnings/errors. Goldens, example scenes/workflow, integration/performance/repo-layout/release tests, benchmark script, and the docs (README + wiki) are updated to the flat prompt. Version bumped to 1.1.0. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * build: drop removed splitter/builder packages from pyproject Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> --------- Co-authored-by: kunail0804 <kunail0804@gmail.com> Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
"""Deliberately regenerate the golden prompt outputs (issue #28).
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Run this only when a change is *intended* to alter compiler output (e.g. a
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Knowledge Base or formatting change). It compiles every reference scene against
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the shipped Knowledge Base and overwrites the golden files under
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``tests/regression/golden/``.
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Usage:
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python scripts/regenerate_goldens.py
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"""
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from __future__ import annotations
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import json
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
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from tests.regression.golden_scenes import ( # noqa: E402
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GOLDEN_DIR,
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SCENES,
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compile_prompt,
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load_reference_knowledge_base,
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)
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def main() -> int:
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GOLDEN_DIR.mkdir(parents=True, exist_ok=True)
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knowledge_base = load_reference_knowledge_base()
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for name, scene in SCENES.items():
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prompt = compile_prompt(scene, knowledge_base)
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path = GOLDEN_DIR / f"{name}.json"
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path.write_text(json.dumps(prompt, indent=2) + "\n", encoding="utf-8")
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sys.stdout.write(f"wrote {path.relative_to(GOLDEN_DIR.parent.parent.parent)}\n")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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