317 lines
11 KiB
Python
317 lines
11 KiB
Python
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"""Pure, deterministic global supply netting for the closed-loop APS kernel.
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This module deliberately has no dependency on the mutable world/store layer. It
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receives normalized requirements and candidate supply, allocates each supply
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quantity at most once across all orders, and returns immutable evidence records.
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"""
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from __future__ import annotations
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from dataclasses import asdict, dataclass, field
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from datetime import date, datetime
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from decimal import Decimal, InvalidOperation, ROUND_HALF_UP
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from typing import Any, Iterable, Literal, Mapping, Sequence
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SourcingType = Literal["MAKE", "BUY", "SUBCONTRACT"]
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SupplySource = Literal[
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"STOCK",
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"IN_TRANSIT",
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"PURCHASE",
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"SUBCONTRACT",
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"MAKE",
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"SHORTAGE",
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]
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_QUANT = Decimal("0.000000001")
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_REJECTED_STATUSES = {"CANCELLED", "CANCELED", "REJECTED", "VOID", "CLOSED"}
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_DRAFT_STATUSES = {"DRAFT", "SUGGESTED", "PROPOSED", "PENDING_APPROVAL"}
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_SOURCE_ORDER = {
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"STOCK": 0,
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"IN_TRANSIT": 1,
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"PURCHASE": 2,
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"SUBCONTRACT": 3,
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"MAKE": 4,
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"SHORTAGE": 9,
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}
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def normalize_quantity(value: Any) -> float:
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"""Return a stable non-negative quantity rounded to APS netting precision."""
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try:
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number = Decimal(str(value or 0)).quantize(_QUANT, rounding=ROUND_HALF_UP)
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except (InvalidOperation, ValueError, TypeError) as exc:
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raise ValueError(f"invalid quantity: {value!r}") from exc
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if number < 0:
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raise ValueError(f"quantity must be non-negative: {value!r}")
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return float(number)
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def normalize_date(value: Any) -> str | None:
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"""Normalize supported date/datetime values to ``YYYY-MM-DD``."""
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if value in (None, ""):
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return None
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if isinstance(value, datetime):
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return value.date().isoformat()
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if isinstance(value, date):
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return value.isoformat()
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text = str(value).strip()
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if not text:
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return None
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candidate = text[:10]
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try:
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return date.fromisoformat(candidate).isoformat()
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except ValueError:
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return None
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@dataclass(frozen=True, slots=True)
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class NettingRequirement:
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"""A time-phased requirement submitted to the global allocation pass."""
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requirement_id: str
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material_key: str
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quantity: float
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required_at: str
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sourcing_type: SourcingType
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priority: int = 0
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sales_order_no: str = ""
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@dataclass(frozen=True, slots=True)
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class SupplyCandidate:
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"""Normalized source record before allocation."""
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event_id: str
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material_key: str
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quantity: float
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available_at: str | None
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source: SupplySource
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status: str
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trusted: bool
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reference_id: str = ""
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metadata: Mapping[str, Any] = field(default_factory=dict)
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@dataclass(frozen=True, slots=True)
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class SupplyAllocation:
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requirement_id: str
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quantity: float
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@dataclass(frozen=True, slots=True)
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class SupplyEvent:
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"""Time-phased supply with immutable allocation evidence."""
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event_id: str
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material_key: str
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quantity: float
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available_at: str | None
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source: SupplySource
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status: str
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trusted: bool
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reference_id: str
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allocations: tuple[SupplyAllocation, ...]
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unallocated_quantity: float
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metadata: Mapping[str, Any] = field(default_factory=dict)
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@dataclass(frozen=True, slots=True)
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class DemandBalance:
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requirement_id: str
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required_quantity: float
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allocated_quantity: float
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shortage_quantity: float
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@dataclass(frozen=True, slots=True)
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class NettingResult:
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supply_events: tuple[SupplyEvent, ...]
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demand_balances: tuple[DemandBalance, ...]
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def to_dict(self) -> dict[str, Any]:
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return asdict(self)
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def _requirement_sort_key(req: NettingRequirement) -> tuple[Any, ...]:
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return (
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normalize_date(req.required_at) or "9999-12-31",
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-int(req.priority or 0),
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str(req.sales_order_no or ""),
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req.requirement_id,
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)
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def _candidate_sort_key(candidate: SupplyCandidate) -> tuple[Any, ...]:
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return (
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normalize_date(candidate.available_at) or "9999-12-31",
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_SOURCE_ORDER.get(candidate.source, 8),
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candidate.event_id,
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)
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def _source_allowed(requirement: NettingRequirement, candidate: SupplyCandidate) -> bool:
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if requirement.sourcing_type == "BUY":
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return candidate.source in {"STOCK", "IN_TRANSIT", "PURCHASE"}
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if requirement.sourcing_type == "SUBCONTRACT":
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return candidate.source == "SUBCONTRACT"
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return candidate.source == "MAKE"
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def _is_allocatable(candidate: SupplyCandidate) -> bool:
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status = str(candidate.status or "").strip().upper()
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return (
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candidate.trusted
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and status not in _REJECTED_STATUSES
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and status not in _DRAFT_STATUSES
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and normalize_date(candidate.available_at) is not None
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and normalize_quantity(candidate.quantity) > 0
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)
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def net_supply_requirements(
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requirements: Sequence[NettingRequirement] | Iterable[NettingRequirement],
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candidates: Sequence[SupplyCandidate] | Iterable[SupplyCandidate],
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*,
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business_date: str | date,
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) -> NettingResult:
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"""Globally net supply once across all requirements.
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Allocation is deterministic: earliest due requirement first, then higher
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priority, order number and requirement ID. A candidate must be trusted,
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non-draft, dated, type-compatible and available no later than the demand's
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required date. Untrusted/late candidates remain visible but unallocated.
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Shortage is represented as an explicit ``SHORTAGE`` event so that quantity
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conservation is machine-checkable without creating a purchase/work order.
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"""
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business_day = normalize_date(business_date)
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if business_day is None:
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raise ValueError(f"invalid business_date: {business_date!r}")
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reqs = tuple(requirements)
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supplies = tuple(candidates)
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req_ids: set[str] = set()
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event_ids: set[str] = set()
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for req in reqs:
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if not req.requirement_id or req.requirement_id in req_ids:
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raise ValueError(f"duplicate/empty requirement_id: {req.requirement_id!r}")
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req_ids.add(req.requirement_id)
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normalize_quantity(req.quantity)
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if normalize_date(req.required_at) is None:
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raise ValueError(f"invalid required_at for {req.requirement_id}: {req.required_at!r}")
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for candidate in supplies:
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if not candidate.event_id or candidate.event_id in event_ids:
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raise ValueError(f"duplicate/empty event_id: {candidate.event_id!r}")
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event_ids.add(candidate.event_id)
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normalize_quantity(candidate.quantity)
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remaining = {candidate.event_id: normalize_quantity(candidate.quantity) for candidate in supplies}
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allocations: dict[str, list[SupplyAllocation]] = {candidate.event_id: [] for candidate in supplies}
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balances: list[DemandBalance] = []
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shortage_events: list[SupplyEvent] = []
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candidates_by_material: dict[str, list[SupplyCandidate]] = {}
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for candidate in supplies:
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candidates_by_material.setdefault(candidate.material_key, []).append(candidate)
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for rows in candidates_by_material.values():
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rows.sort(key=_candidate_sort_key)
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for req in sorted(reqs, key=_requirement_sort_key):
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required_quantity = normalize_quantity(req.quantity)
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outstanding = required_quantity
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required_day = normalize_date(req.required_at) or business_day
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for candidate in candidates_by_material.get(req.material_key, ()):
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if outstanding <= 0:
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break
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if not _source_allowed(req, candidate) or not _is_allocatable(candidate):
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continue
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available_day = normalize_date(candidate.available_at)
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if available_day is None or available_day > required_day:
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continue
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available = remaining[candidate.event_id]
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if available <= 0:
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continue
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allocated = normalize_quantity(min(outstanding, available))
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if allocated <= 0:
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continue
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allocations[candidate.event_id].append(
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SupplyAllocation(requirement_id=req.requirement_id, quantity=allocated)
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)
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remaining[candidate.event_id] = normalize_quantity(available - allocated)
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outstanding = normalize_quantity(outstanding - allocated)
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allocated_total = normalize_quantity(required_quantity - outstanding)
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balances.append(
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DemandBalance(
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requirement_id=req.requirement_id,
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required_quantity=required_quantity,
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allocated_quantity=allocated_total,
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shortage_quantity=outstanding,
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)
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)
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if outstanding > 0:
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shortage_events.append(
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SupplyEvent(
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event_id=f"SHORTAGE:{req.requirement_id}",
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material_key=req.material_key,
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quantity=outstanding,
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available_at=None,
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source="SHORTAGE",
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status="UNMET",
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trusted=False,
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reference_id=req.requirement_id,
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allocations=(
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SupplyAllocation(
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requirement_id=req.requirement_id,
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quantity=outstanding,
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),
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),
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unallocated_quantity=0.0,
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metadata={"businessDate": business_day, "sourcingType": req.sourcing_type},
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)
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)
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events = [
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SupplyEvent(
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event_id=candidate.event_id,
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material_key=candidate.material_key,
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quantity=normalize_quantity(candidate.quantity),
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available_at=normalize_date(candidate.available_at),
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source=candidate.source,
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status=str(candidate.status or "UNKNOWN").strip().upper(),
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trusted=bool(candidate.trusted),
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reference_id=str(candidate.reference_id or ""),
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allocations=tuple(allocations[candidate.event_id]),
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unallocated_quantity=remaining[candidate.event_id],
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metadata=dict(candidate.metadata),
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)
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for candidate in supplies
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]
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events.extend(shortage_events)
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events.sort(
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key=lambda event: (
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event.material_key,
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normalize_date(event.available_at) or "9999-12-31",
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_SOURCE_ORDER.get(event.source, 8),
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event.event_id,
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)
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)
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balances.sort(key=lambda balance: balance.requirement_id)
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return NettingResult(tuple(events), tuple(balances))
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__all__ = [
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"DemandBalance",
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"NettingRequirement",
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"NettingResult",
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"SourcingType",
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"SupplyAllocation",
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"SupplyCandidate",
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"SupplyEvent",
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"SupplySource",
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"net_supply_requirements",
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"normalize_date",
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"normalize_quantity",
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]
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