import json

from fam_edge.oracle_db import OracleDB


def _db(tmp_path):
    return OracleDB(str(tmp_path / "oracle.db"))


def test_upsert_person_same_gender_merges_into_one_row(tmp_path):
    db = _db(tmp_path)
    db.upsert_person("人物A", features={"gender": "男", "hair": "短发黑色"})
    db.upsert_person("人物A", features={"gender": "男", "clothing": "蓝色T恤"})
    rows = db._conn.execute("SELECT * FROM people").fetchall()
    assert len(rows) == 1
    assert rows[0]["appearances"] == 2
    feats = json.loads(rows[0]["features_json"])
    assert feats["hair"] == "短发黑色"
    assert feats["clothing"] == "蓝色T恤"


def test_upsert_person_gender_conflict_splits_into_new_label(tmp_path):
    """核心诉求: 大模型给的 人物A/B/C 这类 uid 只在单次视频分析内稳定，不同视频
    独立编号，同一字符串完全可能撞到不同真人（实测 "人物A" 混了男女两个人）。
    性别冲突时不能直接合并覆盖，要拆成新 label，避免两个人的特征越merge越乱。"""
    db = _db(tmp_path)
    db.upsert_person("人物A", features={"gender": "男", "clothing": "蓝色Polo衫"})
    db.upsert_person("人物A", features={"gender": "女", "clothing": "白色上衣"})
    rows = {r["label"]: r for r in db._conn.execute("SELECT * FROM people").fetchall()}
    assert set(rows.keys()) == {"人物A", "人物A#2"}
    assert rows["人物A"]["appearances"] == 1
    assert json.loads(rows["人物A"]["features_json"])["gender"] == "男"
    assert rows["人物A#2"]["appearances"] == 1
    assert json.loads(rows["人物A#2"]["features_json"])["gender"] == "女"
    # 派生行的 display_uid 仍然记录原始大模型 uid，方便追溯来源
    assert rows["人物A#2"]["display_uid"] == "人物A"


def test_upsert_person_gender_conflict_allocates_next_free_suffix(tmp_path):
    db = _db(tmp_path)
    db.upsert_person("人物A", features={"gender": "男"})
    db.upsert_person("人物A", features={"gender": "女"})  # -> 人物A#2
    db.upsert_person("人物A", features={"gender": "unknown"})  # unknown 不冲突，合并回 人物A
    db.upsert_person("人物A", features={"gender": "男", "hair": "光头"})  # 冲突，人物A 有 gender 男了不冲突；应仍合并
    labels = {r["label"] for r in db._conn.execute("SELECT label FROM people").fetchall()}
    assert labels == {"人物A", "人物A#2"}
    # 再来一次性别冲突（对着 人物A#2，性别女）应该分配 人物A#3，而不是复用 人物A#2
    db.upsert_person("人物A", features={"gender": "男"})
    db.upsert_person("人物A", features={"gender": "女"})
    # 这次新的女性冲突会先撞到 人物A（此时是男），分裂出下一个空闲后缀
    labels = {r["label"] for r in db._conn.execute("SELECT label FROM people").fetchall()}
    assert "人物A" in labels
    assert len(labels) >= 2


def test_upsert_person_unknown_gender_never_triggers_split(tmp_path):
    db = _db(tmp_path)
    db.upsert_person("人物A", features={"gender": "男"})
    db.upsert_person("人物A", features={"gender": "unknown"})
    db.upsert_person("人物A", features={"gender": "未知"})
    rows = db._conn.execute("SELECT * FROM people").fetchall()
    assert len(rows) == 1
    assert rows[0]["appearances"] == 3


def test_upsert_person_no_features_never_triggers_split(tmp_path):
    db = _db(tmp_path)
    db.upsert_person("人物A", features={"gender": "男"})
    db.upsert_person("人物A")  # 无 features（source 更新等场景）
    rows = db._conn.execute("SELECT * FROM people").fetchall()
    assert len(rows) == 1
    assert rows[0]["appearances"] == 2