7630174820
* update relation * feat: add relation_type to avatar info structure and update related components - Added `relation_type` to the avatar structured info in `info_presenter.py`. - Updated `AvatarDetail.vue` to utilize the new `relation_type` for displaying avatar relationships. - Modified `RelationRow.vue` to accept `type` as a prop for enhanced relationship representation. - Updated `core.ts` to include `relation_type` in the `RelationInfo` interface. Closes #
127 lines
5.5 KiB
Python
127 lines
5.5 KiB
Python
import pytest
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from src.classes.world import World
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from src.classes.calendar import MonthStamp
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from src.classes.age import Age
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from src.classes.avatar import Avatar, Gender
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from src.classes.relation.relation import Relation, get_relation_label
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from src.classes.cultivation import CultivationProgress, Realm
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from src.utils.id_generator import get_avatar_id
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from src.sim.new_avatar import create_random_mortal, MortalPlanner, AvatarFactory, PopulationPlanner
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@pytest.fixture
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def mock_world(base_world):
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return base_world
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def test_single_mortal_relation(mock_world):
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"""测试单个新角色生成时的亲子关系方向是否正确"""
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# 1. 创建一个假设的父母角色
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parent_avatar = Avatar(
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world=mock_world,
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name="Parent",
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id=get_avatar_id(),
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birth_month_stamp=MonthStamp(0),
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age=Age(100, Realm.Core_Formation),
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gender=Gender.FEMALE,
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cultivation_progress=CultivationProgress(60), # 金丹期
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pos_x=0,
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pos_y=0
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)
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# 加入世界管理器
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mock_world.avatar_manager.register_avatar(parent_avatar)
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# 2. 创建一个新角色，作为子女
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# 我们通过强制指定 parent_avatar 来测试关系设置逻辑
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# 由于 create_random_mortal 内部逻辑有随机性，这里直接使用底层 factory 并构造 plan
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child_age = Age(20, Realm.Qi_Refinement)
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plan = MortalPlanner.plan(mock_world, "Child", child_age, level=10, allow_relations=False)
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# 手动指定父母，模拟 random 选中的情况
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plan.parent_avatar = parent_avatar
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child_avatar = AvatarFactory.build_from_plan(
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mock_world,
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mock_world.month_stamp,
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name="Child",
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age=child_age,
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plan=plan,
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attach_relations=True
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)
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# 3. 验证关系
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# 父母看子女：应该是 PARENT (映射为 儿子/女儿)
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rel_from_parent = parent_avatar.get_relation(child_avatar)
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assert rel_from_parent == Relation.PARENT, f"父母看子女应该是 PARENT, 但得到了 {rel_from_parent}"
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label_from_parent = get_relation_label(rel_from_parent, parent_avatar, child_avatar)
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# 因为 child 性别随机，可能是 儿子 或 女儿
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assert label_from_parent in ["儿子", "女儿"], f"父母看子女的称谓错误: {label_from_parent}"
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# 子女看父母：应该是 CHILD (映射为 父亲/母亲)
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rel_from_child = child_avatar.get_relation(parent_avatar)
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assert rel_from_child == Relation.CHILD, f"子女看父母应该是 CHILD, 但得到了 {rel_from_child}"
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label_from_child = get_relation_label(rel_from_child, child_avatar, parent_avatar)
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assert label_from_child == "母亲", f"子女看母亲的称谓错误: {label_from_child}" # parent 是 FEMALE
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def test_population_planner_relations(mock_world):
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"""测试批量生成时的亲子关系方向是否正确"""
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# 强制生成一组角色，通过大量生成来触发家庭关系
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# 为了提高概率，我们直接调用 PopulationPlanner 内部逻辑或者检查生成后的结果
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# 尝试生成 20 个角色，期望出现家庭关系
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count = 20
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avatars_dict = PopulationPlanner.plan_group(count, existed_sects=None)
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# 检查计划中的关系
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relations = avatars_dict.relations
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if not relations:
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pytest.skip("本次随机未生成任何关系，跳过测试")
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return
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found_parent_relation = False
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for (a_idx, b_idx), rel in relations.items():
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if rel == Relation.PARENT:
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found_parent_relation = True
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# 在 plan_group 中，(a, b) = PARENT 意味着 a 是父母，b 是子女
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# 这里的语义是：a 的 relations 中，对 b 的记录是 PARENT
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pass
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# 如果找到了 PARENT 关系，说明代码中使用了 Relation.PARENT 而不是之前的 Relation.CHILD
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# 之前的代码是用 Relation.CHILD，修正后应该是 Relation.PARENT
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# 进一步：实际构建角色并验证
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avatars_map = AvatarFactory.build_group(mock_world, mock_world.month_stamp, avatars_dict)
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avatars = list(avatars_map.values())
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# 由于 build_group 返回的是 dict[id, Avatar]，且顺序可能打乱，我们需要重新映射 index
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# 但我们其实只需要遍历所有 Avatar 检查关系即可
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for av in avatars:
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for target, rel in av.relations.items():
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if rel == Relation.PARENT:
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# av 认为是父母 -> target 是子女
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# 验证年龄：父母应该比子女大
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assert av.age.age > target.age.age, f"父母({av.name}, {av.age.age}) 应该比子女({target.name}, {target.age.age}) 大"
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# 验证称谓
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label = get_relation_label(rel, av, target)
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assert label in ["儿子", "女儿"]
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elif rel == Relation.CHILD:
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# av 认为是子女 -> target 是父母
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# 验证年龄：子女应该比父母小
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assert av.age.age < target.age.age, f"子女({av.name}, {av.age.age}) 应该比父母({target.name}, {target.age.age}) 小"
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# 验证称谓
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label = get_relation_label(rel, av, target)
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assert label in ["父亲", "母亲"]
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if not found_parent_relation:
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# 如果随机没随到家庭，我们可以认为只要没报错且逻辑通顺就行，
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# 或者可以 mock random 来强制覆盖路径，但在集成测试中只要多跑几次通常能覆盖
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pass
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