初始化提交

backend/tests/modules/big_cycle/test_extract.py

@@ -0,0 +1,96 @@
+"""大周天演化候选抽取纯函数测试。"""
+
+from app.modules.big_cycle.extract import (
+    EvolutionCandidateDraft,
+    parse_evolution_candidates,
+)
+
+
+def test_parse_standard_json_array() -> None:
+    raw = (
+        '[{"type":"personality","level":"L4","scope":"character_scope",'
+        '"title":"调整身份表达","proposal":"更主动介绍自身能力边界",'
+        '"delta":{"identity_profile":"新的身份描述"},"confidence":0.8,'
+        '"benefit_score":0.7,"risk_score":0.3,"auto_apply_allowed":false,'
+        '"evidence":[0,1]}]'
+    )
+    drafts = parse_evolution_candidates(raw)
+    assert len(drafts) == 1
+    d = drafts[0]
+    assert d.type == "personality"
+    assert d.level == "L4"
+    assert d.scope == "character_scope"
+    assert d.title == "调整身份表达"
+    assert d.proposal == "更主动介绍自身能力边界"
+    assert d.delta == {"identity_profile": "新的身份描述"}
+    assert d.confidence == 0.8
+    assert d.auto_apply_allowed is False
+    assert d.source == "big_cycle"
+    assert d.evidence == [0, 1]
+
+
+def test_parse_markdown_code_block() -> None:
+    raw = (
+        '```json\n[{"type":"procedural","level":"L2","scope":"task_scope",'
+        '"title":"t","proposal":"p"}]\n```'
+    )
+    drafts = parse_evolution_candidates(raw)
+    assert len(drafts) == 1
+    assert drafts[0].type == "procedural"
+
+
+def test_parse_text_mixed_json() -> None:
+    raw = (
+        '候选如下：\n[{"type":"mood","level":"L1","scope":"character_scope",'
+        '"title":"t","proposal":"p"}]\n以上。'
+    )
+    drafts = parse_evolution_candidates(raw)
+    assert len(drafts) == 1
+
+
+def test_parse_invalid_json_returns_empty() -> None:
+    assert parse_evolution_candidates("不是JSON") == []
+    assert parse_evolution_candidates("[]") == []
+
+
+def test_skip_entries_missing_required_fields() -> None:
+    raw = (
+        '[{"type":"personality","title":"缺proposal"},'
+        '{"title":"缺type","proposal":"p"},'
+        '{"type":"x","proposal":"缺title"}]'
+    )
+    assert parse_evolution_candidates(raw) == []
+
+
+def test_defaults_use_safe_pessimistic_values() -> None:
+    """缺省时取最严格默认：level=L4（必须人工）、auto_apply_allowed=False。"""
+    raw = '[{"type":"personality","title":"t","proposal":"p"}]'
+    d = parse_evolution_candidates(raw)[0]
+    assert d.level == "L4"
+    assert d.scope == "character_scope"
+    assert d.auto_apply_allowed is False
+    assert d.confidence == 0.5
+    assert d.benefit_score == 0.5
+    assert d.risk_score == 0.5
+    assert d.drift_score == 0.0
+    assert d.delta == {}
+
+
+def test_clamp_and_default_scores() -> None:
+    raw = (
+        '[{"type":"personality","title":"t","proposal":"p",'
+        '"confidence":1.5,"benefit_score":-0.2,"risk_score":"high"}]'
+    )
+    d = parse_evolution_candidates(raw)[0]
+    assert d.confidence == 1.0
+    assert d.benefit_score == 0.0
+    assert d.risk_score == 0.5  # 非法值 → 默认
+
+
+def test_auto_apply_allowed_truthy() -> None:
+    raw = (
+        '[{"type":"procedural","level":"L2","title":"t","proposal":"p","auto_apply_allowed":true}]'
+    )
+    d = parse_evolution_candidates(raw)[0]
+    assert d.auto_apply_allowed is True
+    assert isinstance(d, EvolutionCandidateDraft)