Download demo/src/extractor.py from AriaAICompany/or-bench-problems: direct link, hf CLI and curl.
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https://huggingface.co/datasets/AriaAICompany/or-bench-problems/resolve/main/demo/src/extractor.py
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curl -L -o extractor.py https://huggingface.co/datasets/AriaAICompany/or-bench-problems/resolve/main/demo/src/extractor.py
7.49 kB
| from __future__ import annotations | |
| import json | |
| import re | |
| from typing import Any | |
| from src.domain import Family, InventoryInstance | |
| def extract_json(text: str) -> dict[str, Any] | None: | |
| if not text or not str(text).strip(): | |
| return None | |
| raw = str(text).strip() | |
| candidates = [raw] | |
| fenced = re.findall(r"```(?:json)?\s*(\{.*?\})\s*```", raw, flags=re.S) | |
| candidates.extend(fenced) | |
| start = raw.find("{") | |
| end = raw.rfind("}") | |
| if start >= 0 and end > start: | |
| candidates.append(raw[start : end + 1]) | |
| for item in candidates: | |
| try: | |
| payload = json.loads(item) | |
| except json.JSONDecodeError: | |
| continue | |
| if isinstance(payload, dict) and payload: | |
| if "schema_payload" in payload and isinstance(payload["schema_payload"], dict): | |
| return payload["schema_payload"] | |
| return payload | |
| return None | |
| def extract_template(text: str, family: Family | str) -> dict[str, Any] | None: | |
| family = Family(family) | |
| if not text: | |
| return None | |
| labeled = _extract_labeled_blocks(text) | |
| if labeled: | |
| return labeled | |
| if family == Family.INVENTORY: | |
| return _extract_inventory_prose(text) | |
| return None | |
| def _extract_labeled_blocks(text: str) -> dict[str, Any] | None: | |
| blocks = re.findall(r"SCHEMA_BEGIN\s*(\{.*?\})\s*SCHEMA_END", text, flags=re.S) | |
| for block in blocks: | |
| try: | |
| payload = json.loads(block) | |
| except json.JSONDecodeError: | |
| continue | |
| if isinstance(payload, dict): | |
| return payload | |
| return None | |
| def _extract_inventory_prose(text: str) -> dict[str, Any] | None: | |
| budget = _first_int(text, r"(?:BUDGET|budget|بودجه)\s*[:=]?\s*(\d+)") | |
| capacity = _first_int(text, r"(?:CAPACITY|capacity|ظرفیت انبار)\s*[:=]?\s*(\d+)") | |
| periods = _first_int(text, r"(?:PERIODS|periods|دوره)\s*[:=]?\s*(\d+)") | |
| cover = bool(re.search(r"COVER_REQUIRED:\s*1|cover is required|پوشش کامل الزامی", text, flags=re.I)) | |
| sku_lines = re.findall( | |
| r"SKU\s+([A-Za-z0-9_-]+).*?demand=([0-9,]+).*?pack=(\d+).*?cost=(\d+).*?hold=(\d+).*?short=(\d+).*?stock=(\d+)", | |
| text, | |
| flags=re.I, | |
| ) | |
| if budget is None or not sku_lines: | |
| return None | |
| skus = [] | |
| for sku_id, demand, pack, cost, hold, short, stock in sku_lines: | |
| values = [int(item) for item in demand.split(",") if item.strip().isdigit()] | |
| skus.append( | |
| { | |
| "sku_id": sku_id, | |
| "name": sku_id, | |
| "demand": values, | |
| "initial_stock": int(stock), | |
| "unit_cost": int(cost), | |
| "holding_cost": int(hold), | |
| "shortage_cost": int(short), | |
| "pack_size": int(pack), | |
| "lead_time": 0, | |
| } | |
| ) | |
| periods = periods or (len(skus[0]["demand"]) if skus else 0) | |
| try: | |
| InventoryInstance.model_validate( | |
| { | |
| "periods": periods, | |
| "budget": budget, | |
| "warehouse_capacity": capacity if capacity is not None else 10**6, | |
| "cover_required": cover, | |
| "lost_sales": True, | |
| "skus": skus, | |
| } | |
| ) | |
| except Exception: | |
| return None | |
| return { | |
| "periods": periods, | |
| "budget": budget, | |
| "warehouse_capacity": capacity if capacity is not None else 10**6, | |
| "cover_required": cover, | |
| "lost_sales": True, | |
| "skus": skus, | |
| } | |
| def _first_int(text: str, pattern: str) -> int | None: | |
| match = re.search(pattern, text, flags=re.I) | |
| if not match: | |
| return None | |
| return int(match.group(1)) | |
| def flatten_facts(family: Family | str, payload: dict) -> dict[str, str]: | |
| family = Family(family) | |
| facts: dict[str, str] = {} | |
| if family == Family.INVENTORY: | |
| facts["periods"] = str(payload.get("periods")) | |
| facts["budget"] = str(payload.get("budget")) | |
| facts["warehouse_capacity"] = str(payload.get("warehouse_capacity")) | |
| facts["cover_required"] = str(bool(payload.get("cover_required"))) | |
| for sku in payload.get("skus") or []: | |
| key = sku.get("sku_id") | |
| facts[f"{key}.demand"] = ",".join(str(int(v)) for v in sku.get("demand") or []) | |
| facts[f"{key}.pack"] = str(sku.get("pack_size")) | |
| facts[f"{key}.cost"] = str(sku.get("unit_cost")) | |
| facts[f"{key}.stock"] = str(sku.get("initial_stock")) | |
| facts[f"{key}.hold"] = str(sku.get("holding_cost")) | |
| facts[f"{key}.short"] = str(sku.get("shortage_cost")) | |
| elif family == Family.ASSIGNMENT: | |
| facts["n_tasks"] = str(len(payload.get("tasks") or [])) | |
| facts["n_agents"] = str(len(payload.get("agents") or [])) | |
| for task in payload.get("tasks") or []: | |
| facts[f"task.{task.get('task_id')}.size"] = str(task.get("size")) | |
| facts[f"task.{task.get('task_id')}.required"] = str(bool(task.get("required"))) | |
| facts[f"task.{task.get('task_id')}.skills"] = ",".join(sorted(task.get("skills") or [])) | |
| for agent in payload.get("agents") or []: | |
| facts[f"agent.{agent.get('agent_id')}.cap"] = str(agent.get("capacity")) | |
| facts[f"agent.{agent.get('agent_id')}.skills"] = ",".join(sorted(agent.get("skills") or [])) | |
| for row in payload.get("costs") or []: | |
| facts[f"cost.{row.get('task_id')}.{row.get('agent_id')}"] = str(row.get("cost")) | |
| else: | |
| facts["machines"] = ",".join(payload.get("machines") or []) | |
| for job in payload.get("jobs") or []: | |
| jid = job.get("job_id") | |
| facts[f"job.{jid}.dur"] = str(job.get("duration")) | |
| facts[f"job.{jid}.rel"] = str(job.get("release")) | |
| facts[f"job.{jid}.due"] = str(job.get("due")) | |
| facts[f"job.{jid}.w"] = str(job.get("weight")) | |
| facts[f"job.{jid}.hard"] = str(bool(job.get("hard_due"))) | |
| facts[f"job.{jid}.m"] = ",".join(sorted(job.get("machine_eligible") or [])) | |
| for idx, edge in enumerate(payload.get("precedences") or []): | |
| facts[f"pred.{idx}"] = f"{edge.get('before')}->{edge.get('after')}" | |
| return facts | |
| def constraint_fidelity(family: Family | str, gold: dict, extracted: dict | None) -> float | None: | |
| if extracted is None: | |
| return 0.0 | |
| gold_facts = flatten_facts(family, gold) | |
| got = flatten_facts(family, extracted) | |
| if not gold_facts: | |
| return 1.0 | |
| hits = sum(1 for key, value in gold_facts.items() if got.get(key) == value) | |
| return hits / len(gold_facts) | |
| def drop_constraint(family: Family | str, payload: dict, prompt: str) -> tuple[dict, str]: | |
| family = Family(family) | |
| clone = json.loads(json.dumps(payload)) | |
| if family == Family.INVENTORY: | |
| clone["budget"] = 10**9 | |
| stripped = re.sub(r"(BUDGET|budget|بودجه)\s*[:=]?\s*\d+", "BUDGET omitted", prompt) | |
| return clone, stripped | |
| if family == Family.ASSIGNMENT: | |
| for agent in clone.get("agents") or []: | |
| agent["capacity"] = 10**6 | |
| stripped = re.sub(r"(capacity|ظرفیت)\s*[:=]?\s*\d+", "capacity omitted", prompt, flags=re.I) | |
| return clone, stripped | |
| for job in clone.get("jobs") or []: | |
| job["hard_due"] = False | |
| job["due"] = job.get("due", 0) + 10**4 | |
| stripped = re.sub(r"(hard due|موعد سخت)", "due relaxed", prompt, flags=re.I) | |
| return clone, stripped | |