Download predictor.py from dougdotcon/douvras-quote-margin-reasoning-model: direct link, hf CLI and curl.
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https://huggingface.co/dougdotcon/douvras-quote-margin-reasoning-model/resolve/main/predictor.py
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hf download hf://dougdotcon/douvras-quote-margin-reasoning-model/predictor.py
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curl -L -o predictor.py https://huggingface.co/dougdotcon/douvras-quote-margin-reasoning-model/resolve/main/predictor.py
1.15 kB
| from __future__ import annotations | |
| import argparse | |
| import json | |
| from pathlib import Path | |
| def recommend(row: dict) -> dict: | |
| if not row["budget_complete"] or row["client_budget"] is None: | |
| return {"decision": "ABSTAIN", "calculated_margin_rate": None, "human_review_required": True} | |
| net = row["quoted_price"] * (1 - row["discount_rate"]) * (1 - row["commission_rate"]) | |
| costs = row["delivery_cost"] + row["operational_cost"] | |
| margin = (net - costs) / net if net else -1 | |
| decision = "ACCEPT" if margin >= row["target_margin_rate"] and row["quoted_price"] <= row["client_budget"] else "NEGOTIATE" if margin >= row["target_margin_rate"] * 0.8 and row["quoted_price"] <= row["client_budget"] * 1.1 else "ABSTAIN" | |
| return {"decision": decision, "calculated_margin_rate": round(margin, 6), "human_review_required": True} | |
| def main() -> None: | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("record_json", type=Path) | |
| args = parser.parse_args() | |
| print(json.dumps(recommend(json.loads(args.record_json.read_text(encoding="utf-8"))), ensure_ascii=False, indent=2)) | |
| if __name__ == "__main__": | |
| main() | |