gti
d21a9d1140
git-subtree-dir: fiscal git-subtree-mainline:d95165fc8fgit-subtree-split:102ba84500
29 lines
1.0 KiB
Python
29 lines
1.0 KiB
Python
"""Deterministic prompt compaction that preserves candidate evidence."""
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import json
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def estimate_tokens(payload) -> int:
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return max(1, len(json.dumps(payload, ensure_ascii=False, sort_keys=True)) // 4)
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def compact_payload(payload):
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"""Remove repeated metadata only; candidate codes/descriptions are untouched."""
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compact = dict(payload)
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compact.pop("debug", None)
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compact.pop("duplicate_examples", None)
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candidates = compact.get("official_candidates")
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if isinstance(candidates, list):
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seen = set()
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compact["official_candidates"] = [
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row for row in candidates
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if not (row.get("ncm") in seen or seen.add(row.get("ncm")))
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]
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return compact
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def measure_payloads(payloads):
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before = sum(estimate_tokens(payload) for payload in payloads)
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after = sum(estimate_tokens(compact_payload(payload)) for payload in payloads)
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return {"items": len(payloads), "tokens_before": before, "tokens_after": after, "reduction_percent": round((1 - after / before) * 100, 2) if before else 0.0}
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