or-bench-problems / demo /src /extractor.py
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Publish ORBench 100-problem catalog and recorded results
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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