"""app.core.db.product_db 单元测试"""

import os
import tempfile

import pytest
import pandas as pd

from app.core.db.product_db import ProductDatabase


@pytest.fixture
def db_dir():
    """临时目录"""
    with tempfile.TemporaryDirectory() as d:
        yield d


@pytest.fixture
def sample_excel(db_dir):
    """创建测试用 Excel 文件"""
    path = os.path.join(db_dir, '商品资料.xlsx')
    df = pd.DataFrame({
        '商品条码': ['6920584471055', '6901028001133', '6925303800013'],
        '商品名称': ['农夫山泉550ml', '蒙牛纯牛奶', '可口可乐330ml'],
        '进货价': [1.2, 3.5, 1.8],
        '单位': ['瓶', '盒', '罐'],
    })
    df.to_excel(path, index=False)
    return path


@pytest.fixture
def db_with_data(db_dir, sample_excel):
    """已导入数据的数据库"""
    db_path = os.path.join(db_dir, 'product_cache.db')
    db = ProductDatabase(db_path, sample_excel)
    return db


class TestProductDatabaseInit:
    """数据库初始化测试"""

    def test_auto_import_on_first_run(self, db_dir, sample_excel):
        """首次运行自动从 Excel 导入"""
        db_path = os.path.join(db_dir, 'product_cache.db')
        assert not os.path.exists(db_path)

        db = ProductDatabase(db_path, sample_excel)

        assert os.path.exists(db_path)
        assert db.count() == 3

    def test_no_reimport_on_existing_db(self, db_dir, sample_excel):
        """数据库已存在时不重新导入"""
        db_path = os.path.join(db_dir, 'product_cache.db')

        db1 = ProductDatabase(db_path, sample_excel)
        assert db1.count() == 3

        # 删除 Excel 后仍能打开已有数据库
        os.remove(sample_excel)
        db2 = ProductDatabase(db_path, sample_excel)
        assert db2.count() == 3

    def test_missing_excel_creates_empty_db(self, db_dir):
        """Excel 不存在时创建空数据库"""
        db_path = os.path.join(db_dir, 'product_cache.db')
        fake_excel = os.path.join(db_dir, '不存在.xlsx')

        db = ProductDatabase(db_path, fake_excel)

        assert os.path.exists(db_path)
        assert db.count() == 0

    def test_missing_dir_created(self, db_dir, sample_excel):
        """数据库目录不存在时自动创建"""
        db_path = os.path.join(db_dir, 'subdir', 'product_cache.db')
        db = ProductDatabase(db_path, sample_excel)
        assert os.path.exists(db_path)
        assert db.count() == 3


class TestGetPrice:
    """单条查询测试"""

    def test_existing_barcode(self, db_with_data):
        price = db_with_data.get_price('6920584471055')
        assert price == pytest.approx(1.2)

    def test_nonexistent_barcode(self, db_with_data):
        price = db_with_data.get_price('0000000000000')
        assert price is None

    def test_empty_barcode(self, db_with_data):
        price = db_with_data.get_price('')
        assert price is None

    def test_barcode_with_spaces(self, db_with_data):
        """条码前后空格应能匹配"""
        price = db_with_data.get_price('  6920584471055  ')
        assert price == pytest.approx(1.2)


class TestGetPrices:
    """批量查询测试"""

    def test_multiple_barcodes(self, db_with_data):
        result = db_with_data.get_prices(['6920584471055', '6901028001133'])
        assert len(result) == 2
        assert result['6920584471055'] == pytest.approx(1.2)
        assert result['6901028001133'] == pytest.approx(3.5)

    def test_partial_match(self, db_with_data):
        """部分条码存在，部分不存在"""
        result = db_with_data.get_prices(['6920584471055', '0000000000000'])
        assert len(result) == 1
        assert '6920584471055' in result

    def test_empty_list(self, db_with_data):
        result = db_with_data.get_prices([])
        assert result == {}

    def test_all_nonexistent(self, db_with_data):
        result = db_with_data.get_prices(['0000000000000', '1111111111111'])
        assert result == {}


class TestReimport:
    """重新导入测试"""

    def test_reimport_clears_and_reloads(self, db_dir, sample_excel):
        db_path = os.path.join(db_dir, 'product_cache.db')
        db = ProductDatabase(db_path, sample_excel)
        assert db.count() == 3

        # 修改 Excel，添加一行
        df = pd.read_excel(sample_excel)
        df = pd.concat([df, pd.DataFrame({
            '商品条码': ['6954365200123'],
            '商品名称': ['测试商品'],
            '进货价': [5.0],
            '单位': ['个'],
        })])
        df.to_excel(sample_excel, index=False)

        count = db.reimport()
        assert count == 4
        assert db.count() == 4
        assert db.get_price('6954365200123') == pytest.approx(5.0)


class TestEdgeCases:
    """边界条件测试"""

    def test_excel_with_missing_price(self, db_dir):
        """Excel 中价格列为空的行"""
        path = os.path.join(db_dir, '商品资料.xlsx')
        df = pd.DataFrame({
            '商品条码': ['6920584471055', '6901028001133'],
            '商品名称': ['商品A', '商品B'],
            '进货价': [1.5, None],
        })
        df.to_excel(path, index=False)

        db_path = os.path.join(db_dir, 'product_cache.db')
        db = ProductDatabase(db_path, path)

        assert db.count() == 2
        assert db.get_price('6920584471055') == pytest.approx(1.5)
        assert db.get_price('6901028001133') == pytest.approx(0.0)

    def test_excel_with_duplicate_barcodes(self, db_dir):
        """重复条码取最后一条 (INSERT OR REPLACE)"""
        path = os.path.join(db_dir, '商品资料.xlsx')
        df = pd.DataFrame({
            '商品条码': ['6920584471055', '6920584471055'],
            '商品名称': ['商品A', '商品A-新'],
            '进货价': [1.0, 2.0],
        })
        df.to_excel(path, index=False)

        db_path = os.path.join(db_dir, 'product_cache.db')
        db = ProductDatabase(db_path, path)

        assert db.count() == 1
        assert db.get_price('6920584471055') == pytest.approx(2.0)