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