136 lines
6.6 KiB
Python
136 lines
6.6 KiB
Python
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# ============================================================
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# 偏好多特征规则归纳黄金测试（plan.md §8.3 / 矩阵 66 行剩余项）
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# 覆盖：特征抽取（订单结构/客户等级/约束压力）、分箱规则归纳、
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# 特征命中与冷启动回退、旧样本向后兼容、可解释中文文案。
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# ============================================================
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from __future__ import annotations
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from datetime import UTC, datetime, timedelta
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from pathlib import Path
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from server.knowledge.preferences import PreferenceStore, extract_features
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def _store(tmp_path: Path) -> PreferenceStore:
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return PreferenceStore(str(tmp_path / "pref.json"))
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def _sample_with_features(strategy: str, features: dict, *, source: str = "schedule.run") -> dict:
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return {"strategy": strategy, "source": source, "actor": "u1",
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"projectId": "p1", "at": "2026-08-02 08:00", "features": dict(features)}
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def test_extract_features_from_world():
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"""Extract order mix, urgency, customer tier, and conflict pressure."""
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today = datetime.now(UTC).astimezone().date()
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world = {
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"productionOrders": [
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{"productCode": "P1", "customerLevel": "VIP", "priority": 1,
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"dueDate": (today + timedelta(days=1)).isoformat()}, # inside the half-horizon urgency window
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{"productCode": "P1", "customerLevel": "A", "priority": 5,
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"dueDate": (today + timedelta(days=14)).isoformat()},
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{"productCode": "P2", "customerLevel": "B", "priority": 5,
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"dueDate": today.isoformat()}, # due today is urgent
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{"productCode": "P3", "customerLevel": "B", "priority": 5,
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"dueDate": ""},
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],
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"scheduleParams": {"planningHorizonDays": 14},
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"conflicts": [{"id": 1}, {"id": 2}, {"id": 3}],
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}
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feats = extract_features(world)
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assert feats["orderCount"] == 4
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assert feats["vipRatio"] == 0.25 # 1/4 VIP
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assert feats["urgencyRatio"] == 0.5 # 2/4 急单
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assert feats["mixCount"] == 3
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assert feats["hardConflictCount"] == 3
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def test_induced_rules_bins_high_urgency_prefers_delivery_first(tmp_path: Path):
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"""规则归纳：高急单/多品种特征箱 → 交期优先。"""
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ps = _store(tmp_path)
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ps.samples = [
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_sample_with_features("DELIVERY_FIRST", {"orderCount": 25, "urgencyRatio": 0.8, "mixCount": 9}),
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_sample_with_features("DELIVERY_FIRST", {"orderCount": 30, "urgencyRatio": 0.9, "mixCount": 12}),
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_sample_with_features("DELIVERY_FIRST", {"orderCount": 22, "urgencyRatio": 0.7, "mixCount": 10}),
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]
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rules = ps.induced_rules("p1")
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assert rules["orderCount"]["high"]["strategy"] == "DELIVERY_FIRST"
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assert rules["orderCount"]["high"]["count"] == 3
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assert rules["urgencyRatio"]["high"]["strategy"] == "DELIVERY_FIRST"
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strategy, votes, used = ps.preferred_strategy_with_features(
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{"orderCount": 26, "urgencyRatio": 0.85}, project_id="p1")
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assert strategy == "DELIVERY_FIRST"
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assert votes["DELIVERY_FIRST"] > 0
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assert len(used) >= 2 # 两条特征规则命中
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def test_feature_rule_overrides_global_frequency(tmp_path: Path):
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"""特征规则应胜过全局频次（多特征回归的价值：场景自适应）。"""
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ps = _store(tmp_path)
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# 全局上 CAPACITY_BALANCE 最多（4 条），但低品种小单场景全部选 DELIVERY_FIRST
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for i in range(4):
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ps.samples.append(_sample_with_features("CAPACITY_BALANCE",
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{"orderCount": 40, "mixCount": 20}))
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for i in range(3):
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ps.samples.append(_sample_with_features("DELIVERY_FIRST",
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{"orderCount": 2, "mixCount": 1}))
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global_strategy, _ = ps.preferred_strategy(project_id="p1")
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assert global_strategy == "CAPACITY_BALANCE"
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strategy, _, used = ps.preferred_strategy_with_features(
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{"orderCount": 1, "mixCount": 1}, project_id="p1")
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assert strategy == "DELIVERY_FIRST"
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assert used # 规则命中而非全局回退
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def test_fallback_when_no_rule_matches(tmp_path: Path):
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"""无特征样本/无规则命中 → 回退全局时间衰减偏好（冷启动兼容）。"""
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ps = _store(tmp_path)
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ps.samples = [
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_sample_with_features("COMPREHENSIVE", {"orderCount": 3}),
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_sample_with_features("DELIVERY_FIRST", {"orderCount": 3}),
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]
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# 未知特征（不在分箱表）→ 不命中任何规则 → 回退全局
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strategy, _, used = ps.preferred_strategy_with_features(
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{"unknownFeature": 99}, project_id="p1")
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assert strategy in ("COMPREHENSIVE", "DELIVERY_FIRST")
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assert used == []
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# 完全没有特征样本 → induced_rules 空 + 回退
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ps.samples = [{"strategy": "A", "source": "schedule.run", "actor": "u1",
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"projectId": "p1", "at": "2026-08-02 08:00"}]
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assert ps.induced_rules("p1") == {}
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strategy, _, used = ps.preferred_strategy_with_features(
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{"orderCount": 1}, project_id="p1")
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assert strategy == "A" and used == []
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def test_adopt_signal_weights_double_in_rules(tmp_path: Path):
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"""规则得分：采用(scenario.apply) 权重 2 > 试排(schedule.run) 权重 1。"""
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ps = _store(tmp_path)
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ps.samples = [
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_sample_with_features("A", {"orderCount": 2}, source="schedule.run"),
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_sample_with_features("B", {"orderCount": 2}, source="scenario.apply"),
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]
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rules = ps.induced_rules("p1")
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rule = rules["orderCount"]["low"]
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assert rule["strategy"] == "B" # 1 次采用(权重2) > 1 次试排(权重1)
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assert rule["score"] == 2.0
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assert abs(rule["support"] - 2 / 3) < 0.01 # 0.67（舍入 2 位）
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def test_explain_features_chinese_and_rules(tmp_path: Path):
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"""特征版解释：中文依据 + 规则明细（可进证据链）。"""
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ps = _store(tmp_path)
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ps.samples = [
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_sample_with_features("DELIVERY_FIRST", {"orderCount": 25, "urgencyRatio": 0.8}),
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_sample_with_features("DELIVERY_FIRST", {"orderCount": 30, "urgencyRatio": 0.9}),
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]
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expl = ps.explain_features({"orderCount": 26, "urgencyRatio": 0.85}, project_id="p1")
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assert expl["strategy"] == "DELIVERY_FIRST"
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assert "依据订单结构与约束压力" in expl["reason"]
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assert "orderCount" in expl["reason"]
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assert expl["rules"] and expl["rules"][0]["bin"] in ("low", "med", "high")
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# 无特征样本时回退普通解释并附空规则
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ps.samples = []
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expl2 = ps.explain_features({"orderCount": 26}, project_id="p1")
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assert expl2["rules"] == [] and expl2["confidence"] == "cold"
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