import pytest
import pandas as pd
import os
from pathlib import Path
from utils.file_handler import FileHandler
from datetime import datetime


@pytest.fixture
def temp_dir(tmp_path):
    """创建临时测试目录"""
    test_dir = tmp_path / "test_files"
    test_dir.mkdir()
    return test_dir


@pytest.fixture
def file_handler(temp_dir):
    """创建FileHandler实例"""
    return FileHandler(temp_dir)


@pytest.fixture
def sample_dataframe():
    """创建测试用DataFrame"""
    return pd.DataFrame({
        'id': [1, 2, 3],
        'name': ['Alice', 'Bob', 'Charlie'],
        'value': [10.5, 20.3, 30.1]
    })


@pytest.fixture
def sample_text_file(temp_dir):
    """创建测试文本文件"""
    file_path = temp_dir / "test.txt"
    with open(file_path, 'w') as f:
        f.write("line1\nline2\nline3")
    return file_path


# 开始测试

def test_read_write_csv(file_handler, temp_dir, sample_dataframe):
    """测试CSV文件读写"""
    test_file = temp_dir / "test.csv"

    # 测试写入
    write_result = file_handler.write_file(test_file, sample_dataframe)

    # 修改断言方式
    assert bool(write_result.iloc[0]['success']) == True  # 使用bool()转换
    # 或者
    assert write_result.iloc[0]['success'] == True  # 使用值比较

    assert os.path.exists(test_file)

    # 测试读取
    df = file_handler.read_file(test_file)
    assert df.shape == (3, 3)
    assert list(df.columns) == ['id', 'name', 'value']


def test_read_write_json(file_handler, temp_dir, sample_dataframe):
    """测试JSON文件读写"""
    test_file = temp_dir / "test.json"

    # 测试写入
    write_result = file_handler.write_file(test_file, sample_dataframe)
    assert write_result.iloc[0]['success'] == True

    # 测试读取
    df = file_handler.read_file(test_file)
    assert df.shape == (3, 3)


def test_read_write_excel(file_handler, temp_dir, sample_dataframe):
    """测试Excel文件读写"""
    test_file = temp_dir / "test.xlsx"

    # 测试写入
    write_result = file_handler.write_file(test_file, sample_dataframe)
    assert write_result.iloc[0]['success'] == True

    # 测试读取
    df = file_handler.read_file(test_file)
    assert df.shape == (3, 3)


def test_read_write_csv(file_handler, temp_dir, sample_dataframe):
    """测试CSV文件读写"""
    test_file = temp_dir / "test.csv"

    # 测试写入
    write_result = file_handler.write_file(test_file, sample_dataframe)

    # 修改断言方式
    assert bool(write_result.iloc[0]['success']) == True  # 使用bool()转换
    # 或者
    assert write_result.iloc[0]['success'] == True  # 使用值比较

    assert os.path.exists(test_file)

    # 测试读取
    df = file_handler.read_file(test_file)
    assert df.shape == (3, 3)
    assert list(df.columns) == ['id', 'name', 'value']


# 文件操作测试
def test_file_operations(file_handler, sample_text_file):
    """测试文件存在检查、删除等操作"""
    # 测试文件存在检查
    exists_df = file_handler.file_exists(sample_text_file)
    assert exists_df.iloc[0]['exists'] == True

    # 测试获取文件大小
    size_df = file_handler.get_file_size(sample_text_file)
    assert size_df.iloc[0]['size_bytes'] > 0

    # 测试获取修改时间
    mtime_df = file_handler.get_file_modified_time(sample_text_file)
    assert isinstance(mtime_df.iloc[0]['modified_time'], datetime)

    # 测试删除文件
    delete_df = file_handler.delete_file(sample_text_file)
    assert delete_df.iloc[0]['deleted'] == True
    assert not os.path.exists(sample_text_file)


def test_directory_operations(file_handler, temp_dir):
    """测试目录操作"""
    test_dir = temp_dir / "subdir"

    # 测试创建目录
    create_df = file_handler.create_dir(test_dir)
    assert create_df.iloc[0]['created'] == True
    assert os.path.isdir(test_dir)

    # 测试列出目录
    list_df = file_handler.list_dirs(temp_dir)
    assert any("subdir" in d for d in list_df['dir_name'].values)

    # 测试删除目录
    delete_df = file_handler.delete_dir(test_dir)
    assert delete_df.iloc[0]['deleted'] == True
    assert not os.path.exists(test_dir)


# 文件压缩
def test_zip_operations(file_handler, temp_dir, sample_dataframe):
    """测试文件压缩解压"""
    # 创建测试文件
    test_file1 = temp_dir / "file1.txt"
    test_file2 = temp_dir / "file2.csv"
    file_handler.write_file(test_file1, "test content")
    file_handler.write_file(test_file2, sample_dataframe)

    # 测试压缩文件
    zip_path = temp_dir / "test.zip"
    zip_result = file_handler.zip_files([test_file1, test_file2], zip_path)
    assert zip_result.iloc[0]['zipped'] == True
    assert zip_result.iloc[0]['file_count'] == 2

    # 测试解压
    extract_dir = temp_dir / "extracted"
    unzip_result = file_handler.unzip(zip_path, extract_dir)
    assert unzip_result.iloc[0]['unzipped'] is True
    assert os.path.exists(extract_dir / "file1.txt")
    assert os.path.exists(extract_dir / "file2.csv")


def test_zip_directory(file_handler, temp_dir):
    """测试目录压缩"""
    # 创建测试目录结构
    test_dir = temp_dir / "test_dir"
    sub_dir = test_dir / "sub"
    sub_dir.mkdir(parents=True)

    (test_dir / "file1.txt").write_text("content1")
    (sub_dir / "file2.txt").write_text("content2")

    # 测试压缩目录
    zip_path = temp_dir / "dir.zip"
    zip_result = file_handler.zip_dir(test_dir, zip_path)
    assert zip_result.iloc[0]['zipped'] == True
    assert zip_result.iloc[0]['file_count'] == 2