File size: 11,599 Bytes
3dfd4ca | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 | from __future__ import annotations
from collections import defaultdict
from src.domain import (
AssignmentInstance,
Family,
InventoryInstance,
ScheduleInstance,
Solution,
ValidationIssue,
ValidationReport,
parse_instance,
)
def _issue(code: str, message: str, entity_id: str | None = None, passed: bool = False) -> ValidationIssue:
return ValidationIssue(code=code, message=message, entity_id=entity_id, passed=passed)
def validate_schema(family: Family | str, payload: dict) -> ValidationReport:
issues: list[ValidationIssue] = []
checked = ["schema", "ids", "values"]
try:
instance = parse_instance(family, payload)
except Exception as exc:
return ValidationReport(ok=False, issues=[_issue("schema", f"schema rejected: {exc}")], checked=checked)
if isinstance(instance, InventoryInstance):
ids = [sku.sku_id for sku in instance.skus]
if len(ids) != len(set(ids)):
issues.append(_issue("ids", "duplicate SKU ids"))
if not instance.skus:
issues.append(_issue("schema", "inventory needs at least one SKU"))
for sku in instance.skus:
if len(sku.demand) != instance.periods:
issues.append(_issue("values", f"{sku.sku_id} demand length must equal periods", sku.sku_id))
if any(value < 0 for value in sku.demand):
issues.append(_issue("values", f"{sku.sku_id} demand must be non-negative", sku.sku_id))
elif isinstance(instance, AssignmentInstance):
if not instance.tasks or not instance.agents:
issues.append(_issue("schema", "assignment needs tasks and agents"))
task_ids = [task.task_id for task in instance.tasks]
agent_ids = [agent.agent_id for agent in instance.agents]
if len(task_ids) != len(set(task_ids)) or len(agent_ids) != len(set(agent_ids)):
issues.append(_issue("ids", "duplicate task or agent ids"))
known = {(task.task_id, agent.agent_id) for task in instance.tasks for agent in instance.agents}
for row in instance.costs:
if (row.task_id, row.agent_id) not in known:
issues.append(_issue("references", f"cost for unknown pair {row.task_id}/{row.agent_id}"))
else:
job_ids = [job.job_id for job in instance.jobs]
if len(job_ids) != len(set(job_ids)):
issues.append(_issue("ids", "duplicate job ids"))
if not instance.machines or not instance.jobs:
issues.append(_issue("schema", "scheduling needs jobs and machines"))
seen = set()
for edge in instance.precedences:
if edge.before not in job_ids or edge.after not in job_ids:
issues.append(_issue("references", f"precedence {edge.before}->{edge.after} is unknown"))
if edge.before == edge.after:
issues.append(_issue("values", f"self precedence on {edge.before}", edge.before))
pair = (edge.before, edge.after)
if pair in seen:
continue
seen.add(pair)
if _has_cycle(instance.precedences):
issues.append(_issue("values", "precedence graph has a cycle"))
return ValidationReport(ok=not issues, issues=issues, checked=checked)
def _has_cycle(edges) -> bool:
graph: dict[str, list[str]] = defaultdict(list)
nodes: set[str] = set()
for edge in edges:
graph[edge.before].append(edge.after)
nodes.add(edge.before)
nodes.add(edge.after)
state: dict[str, int] = {}
def visit(node: str) -> bool:
state[node] = 1
for nxt in graph.get(node, []):
if state.get(nxt) == 1:
return True
if state.get(nxt, 0) == 0 and visit(nxt):
return True
state[node] = 2
return False
return any(state.get(node, 0) == 0 and visit(node) for node in nodes)
def validate_solution(family: Family | str, payload: dict, solution: Solution | dict) -> ValidationReport:
family = Family(family)
schema_report = validate_schema(family, payload)
if not schema_report.ok:
return schema_report
instance = parse_instance(family, payload)
if not isinstance(solution, Solution):
solution = Solution.model_validate(solution)
if family == Family.INVENTORY:
return _validate_inventory(instance, solution)
if family == Family.ASSIGNMENT:
return _validate_assignment(instance, solution)
return _validate_schedule(instance, solution)
def _validate_inventory(instance: InventoryInstance, solution: Solution) -> ValidationReport:
issues: list[ValidationIssue] = []
checked = ["pack", "budget", "balance", "capacity", "cover", "objective"]
qty = {(row.sku_id, int(row.period)): int(row.qty) for row in solution.orders}
spend = 0
hold_cost = 0
short_cost = 0
stock = {sku.sku_id: sku.initial_stock for sku in instance.skus}
for t in range(1, instance.periods + 1):
ending = 0
for sku in instance.skus:
order = int(qty.get((sku.sku_id, t), 0))
if order < 0:
issues.append(_issue("values", f"negative order {sku.sku_id}@{t}", sku.sku_id))
if sku.pack_size and order % sku.pack_size != 0:
issues.append(_issue("pack", f"{sku.sku_id}@{t} qty {order} is not a multiple of pack {sku.pack_size}", sku.sku_id))
spend += order * sku.unit_cost
demand = int(sku.demand[t - 1])
available = stock[sku.sku_id] + order
sold = min(available, demand)
short = demand - sold
stock[sku.sku_id] = available - sold
if stock[sku.sku_id] < 0:
issues.append(_issue("balance", f"negative inventory {sku.sku_id}@{t}", sku.sku_id))
if instance.cover_required and short:
issues.append(_issue("cover", f"{sku.sku_id}@{t} shortage {short} while cover is required", sku.sku_id))
ending += stock[sku.sku_id]
hold_cost += stock[sku.sku_id] * sku.holding_cost
short_cost += short * sku.shortage_cost
if ending > instance.warehouse_capacity:
issues.append(_issue("capacity", f"period {t} inventory {ending} exceeds capacity {instance.warehouse_capacity}"))
if spend > instance.budget:
issues.append(_issue("budget", f"purchase {spend} exceeds budget {instance.budget}"))
objective = float(spend + hold_cost + short_cost)
return ValidationReport(ok=not issues, issues=issues, checked=checked, recomputed_objective=objective)
def _validate_assignment(instance: AssignmentInstance, solution: Solution) -> ValidationReport:
issues: list[ValidationIssue] = []
checked = ["unique", "eligible", "capacity", "required", "objective"]
seen_tasks: set[str] = set()
load: dict[str, int] = defaultdict(int)
cost_map = instance.cost_map()
agents = {agent.agent_id: agent for agent in instance.agents}
tasks = {task.task_id: task for task in instance.tasks}
spend = 0
for row in solution.assignments:
if row.task_id in seen_tasks:
issues.append(_issue("unique", f"task {row.task_id} assigned more than once", row.task_id))
seen_tasks.add(row.task_id)
task = tasks.get(row.task_id)
agent = agents.get(row.agent_id)
if task is None or agent is None:
issues.append(_issue("references", f"unknown pair {row.task_id}/{row.agent_id}", row.task_id))
continue
if not instance.eligible(task, agent):
issues.append(_issue("eligible", f"{row.task_id} is not eligible for {row.agent_id}", row.task_id))
if (row.task_id, row.agent_id) not in cost_map:
issues.append(_issue("references", f"no cost for {row.task_id}/{row.agent_id}", row.task_id))
else:
spend += cost_map[(row.task_id, row.agent_id)]
load[row.agent_id] += task.size
for agent in instance.agents:
if load[agent.agent_id] > agent.capacity:
issues.append(_issue("capacity", f"{agent.agent_id} load {load[agent.agent_id]} exceeds {agent.capacity}", agent.agent_id))
leftover = set(solution.unassigned)
for task in instance.tasks:
assigned = task.task_id in seen_tasks
if task.required and not assigned:
issues.append(_issue("required", f"required task {task.task_id} is unassigned", task.task_id))
if not assigned:
leftover.add(task.task_id)
spend += task.penalty
if assigned and task.task_id in leftover:
leftover.discard(task.task_id)
return ValidationReport(ok=not issues, issues=issues, checked=checked, recomputed_objective=float(spend))
def _validate_schedule(instance: ScheduleInstance, solution: Solution) -> ValidationReport:
issues: list[ValidationIssue] = []
checked = ["unique", "eligible", "release", "overlap", "precedence", "hard_due", "duration", "objective"]
jobs = {job.job_id: job for job in instance.jobs}
seen: set[str] = set()
by_machine: dict[str, list[tuple[int, int, str]]] = defaultdict(list)
ends: dict[str, int] = {}
starts: dict[str, int] = {}
tardy = 0
for row in solution.starts:
if row.job_id in seen:
issues.append(_issue("unique", f"job {row.job_id} starts more than once", row.job_id))
seen.add(row.job_id)
job = jobs.get(row.job_id)
if job is None:
issues.append(_issue("references", f"unknown job {row.job_id}", row.job_id))
continue
if row.machine_id not in instance.machines:
issues.append(_issue("references", f"unknown machine {row.machine_id}", row.job_id))
if job.machine_eligible and row.machine_id not in set(job.machine_eligible):
issues.append(_issue("eligible", f"{row.job_id} cannot use {row.machine_id}", row.job_id))
if row.start < job.release:
issues.append(_issue("release", f"{row.job_id} starts at {row.start} before release {job.release}", row.job_id))
if row.end - row.start != job.duration:
issues.append(_issue("duration", f"{row.job_id} duration {row.end - row.start} != {job.duration}", row.job_id))
if job.hard_due and row.end > job.due:
issues.append(_issue("hard_due", f"{row.job_id} ends at {row.end} after hard due {job.due}", row.job_id))
by_machine[row.machine_id].append((row.start, row.end, row.job_id))
ends[row.job_id] = row.end
starts[row.job_id] = row.start
tardy += job.weight * max(0, row.end - job.due)
for job in instance.jobs:
if job.job_id not in seen:
issues.append(_issue("cover", f"job {job.job_id} has no start", job.job_id))
for machine, blocks in by_machine.items():
ordered = sorted(blocks)
for prev, cur in zip(ordered, ordered[1:]):
if prev[1] > cur[0]:
issues.append(_issue("overlap", f"{machine} overlap {prev[2]} and {cur[2]}", machine))
for edge in instance.precedences:
if edge.before in ends and edge.after in starts and ends[edge.before] > starts[edge.after]:
issues.append(_issue("precedence", f"{edge.before} must finish before {edge.after}", edge.after))
return ValidationReport(ok=not issues, issues=issues, checked=checked, recomputed_objective=float(tardy))
def format_input_error(report: ValidationReport) -> str:
if report.ok:
return ""
return " | ".join(f"{item.code}: {item.message}" for item in report.issues[:8])
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