"""
数据文件读写测试
测试EmuTrader未来可能的数据文件导入导出功能
目前这些方法尚未实现，测试作为未来功能的规范和文档
"""

import pytest
import tempfile
import os
import json
import yaml
from pathlib import Path
from datetime import datetime
from emutrader import get_jq_account, order_shares, set_subportfolios, SubPortfolioConfig


class TestDataFileOperations:
    """测试数据文件读写操作
    
    测试EmuTrader未来的数据文件导入导出功能，包括：
    - JSON格式导出导入
    - YAML格式导出导入
    - CSV持仓报告导出
    - 文件格式验证和错误处理
    - 大文件处理性能
    
    注意：这些功能目前尚未实现，测试用例作为功能规范文档
    """
    
    @pytest.mark.file_io
    @pytest.mark.skip(reason="JSON导出导入功能尚未实现 - 此测试作为功能规范")
    def test_export_import_json(self):
        """测试JSON格式导出和导入（未来功能）
        
        验证账户状态能够以JSON格式正确导出和导入：
        - 创建账户并执行交易
        - 导出为JSON文件
        - 从JSON文件导入到新账户
        - 验证数据一致性
        
        预期方法：
        - context.export_to_json(file_path)
        - context.import_from_json(file_path)
        """
        print("\n=== 测试JSON格式导出和导入 ===")
        print("【测试内容】验证账户状态的JSON格式持久化功能")
        
        # 创建临时文件
        with tempfile.NamedTemporaryFile(mode='w', suffix='.json', delete=False, encoding='utf-8') as tmp_file:
            json_path = tmp_file.name
        
        try:
            print(f"【创建】临时JSON文件: {json_path}")
            
            print("【操作1】创建账户并执行交易")
            context1 = get_jq_account("test_strategy", 200000)
            
            # 执行交易
            order_shares('000001.SZ', 1000)
            order_shares('000002.SZ', 500)
            order_shares('600519.SH', 200)
            
            print("【操作2】导出为JSON")
            success = context1.export_to_json(json_path)
            print(f"  [导出结果] {success} (预期: True)")
            assert success is True
            
            print("【验证】JSON文件存在性")
            assert os.path.exists(json_path)
            file_size = os.path.getsize(json_path)
            print(f"  [文件大小] {file_size}字节")
            
            print("【操作3】从JSON导入到新账户")
            context2 = get_jq_account("test_strategy_import", 1)
            success = context2.import_from_json(json_path)
            print(f"  [导入结果] {success} (预期: True)")
            assert success is True
            
            print("【验证】数据一致性")
            portfolio1 = context1.portfolio
            portfolio2 = context2.portfolio
            
            print(f"  [原账户资金] {portfolio1.available_cash:,.2f}元")
            print(f"  [导入后资金] {portfolio2.available_cash:,.2f}元")
            print(f"  [资金差异] {abs(portfolio1.available_cash - portfolio2.available_cash):.2f}元")
            
            print(f"  [持仓数量] 原:{portfolio1.get_position_count()}个, 导入:{portfolio2.get_position_count()}个")
            print(f"  [持仓市值] 原:{portfolio1.market_value:,.2f}元, 导入:{portfolio2.market_value:,.2f}元")
            
            assert abs(portfolio2.available_cash - portfolio1.available_cash) < 0.01
            assert portfolio2.get_position_count() == portfolio1.get_position_count()
            assert abs(portfolio2.market_value - portfolio1.market_value) < 1.0
            
            print("【验证】JSON文件内容结构")
            with open(json_path, 'r', encoding='utf-8') as f:
                json_data = json.load(f)
            
            expected_keys = ['strategy_name', 'account_type', 'portfolio', 'subportfolios', 'timestamp']
            for key in expected_keys:
                assert key in json_data, f"JSON缺少必需字段: {key}"
                print(f"  [✓] {key}: 存在")
            
            print("【完成】JSON导出导入测试通过！")
            
        finally:
            if os.path.exists(json_path):
                os.unlink(json_path)
                print("【清理】已删除临时JSON文件")
    
    @pytest.mark.file_io
    def test_export_import_yaml(self):
        """测试YAML格式导出和导入
        
        验证账户状态能够以YAML格式正确导出和导入：
        - 创建账户并设置子账户
        - 导出为YAML文件
        - 从YAML文件导入
        - 验证子账户配置和数据完整性
        """
        print("\n=== 测试YAML格式导出和导入 ===")
        print("【测试内容】验证账户状态的YAML格式持久化功能")
        
        # 创建临时文件
        with tempfile.NamedTemporaryFile(mode='w', suffix='.yaml', delete=False, encoding='utf-8') as tmp_file:
            yaml_path = tmp_file.name
        
        try:
            print(f"【创建】临时YAML文件: {yaml_path}")
            
            print("【操作1】创建账户并设置子账户")
            context1 = get_jq_account("test_strategy", 1000000)
            
            # 设置子账户
            sub_configs = [
                SubPortfolioConfig(cash=600000, type='stock'),
                SubPortfolioConfig(cash=300000, type='futures'),
                SubPortfolioConfig(cash=100000, type='stock')
            ]
            set_subportfolios(sub_configs)
            
            print(f"  [子账户数量] {len(context1.subportfolios)}个")
            
            print("【操作2】导出为YAML")
            success = context1.export_to_yaml(yaml_path)
            print(f"  [导出结果] {success} (预期: True)")
            assert success is True
            
            print("【验证】YAML文件存在性")
            assert os.path.exists(yaml_path)
            file_size = os.path.getsize(yaml_path)
            print(f"  [文件大小] {file_size}字节")
            
            print("【操作3】从YAML导入到新账户")
            context2 = get_jq_account("test_strategy_import", 1)
            success = context2.import_from_yaml(yaml_path)
            print(f"  [导入结果] {success} (预期: True)")
            assert success is True
            
            print("【验证】子账户配置一致性")
            print(f"  [原子账户数] {len(context1.subportfolios)}个")
            print(f"  [导入后子账户数] {len(context2.subportfolios)}个")
            
            assert len(context2.subportfolios) == len(context1.subportfolios)
            
            print("【验证】子账户详细信息")
            for i, (sub1, sub2) in enumerate(zip(context1.subportfolios, context2.subportfolios)):
                print(f"  [子账户{i}] {sub1.type}")
                print(f"    原资金: {sub1.available_cash:,.2f}元")
                print(f"    导入资金: {sub2.available_cash:,.2f}元")
                print(f"    资金差异: {abs(sub1.available_cash - sub2.available_cash):.2f}元")
                
                assert sub2.type == sub1.type
                assert abs(sub2.available_cash - sub1.available_cash) < 0.01
                assert len(sub2.positions) == len(sub1.positions)
            
            print("【验证】YAML文件内容")
            with open(yaml_path, 'r', encoding='utf-8') as f:
                yaml_data = yaml.safe_load(f)
            
            assert 'strategy_name' in yaml_data
            assert 'subportfolios' in yaml_data
            assert isinstance(yaml_data['subportfolios'], list)
            print("  [✓] YAML结构正确")
            
            print("【完成】YAML导出导入测试通过！")
            
        finally:
            if os.path.exists(yaml_path):
                os.unlink(yaml_path)
                print("【清理】已删除临时YAML文件")
    
    @pytest.mark.file_io
    def test_export_positions_csv(self):
        """测试持仓CSV导出功能
        
        验证持仓数据能够正确导出为CSV格式：
        - 创建账户和多个持仓
        - 导出持仓为CSV文件
        - 验证CSV文件格式和内容
        - 测试不同编码和分隔符支持
        """
        print("\n=== 测试持仓CSV导出功能 ===")
        print("【测试内容】验证持仓数据的CSV格式导出功能")
        
        # 创建临时文件
        with tempfile.NamedTemporaryFile(mode='w', suffix='.csv', delete=False, encoding='utf-8') as tmp_file:
            csv_path = tmp_file.name
        
        try:
            print(f"【创建】临时CSV文件: {csv_path}")
            
            print("【操作1】创建账户和持仓")
            context = get_jq_account("test_strategy", 500000)
            
            # 创建多个持仓
            securities = ['000001.SZ', '000002.SZ', '600519.SH', '600036.SH', '000858.SZ']
            amounts = [1000, 500, 200, 800, 300]
            
            for security, amount in zip(securities, amounts):
                print(f"  [交易] 买入{security} {amount}股")
                order_shares(security, amount)
            
            print(f"  [最终持仓数] {context.portfolio.get_position_count()}个")
            
            print("【操作2】导出持仓为CSV")
            success = context.export_positions_to_csv(csv_path)
            print(f"  [导出结果] {success} (预期: True)")
            assert success is True
            
            print("【验证】CSV文件存在性和基本属性")
            assert os.path.exists(csv_path)
            file_size = os.path.getsize(csv_path)
            print(f"  [文件大小] {file_size}字节")
            
            print("【验证】CSV文件内容")
            with open(csv_path, 'r', encoding='utf-8') as f:
                lines = f.readlines()
            
            print(f"  [总行数] {len(lines)}行 (包括标题)")
            
            # 验证标题行
            if lines:
                header = lines[0].strip()
                print(f"  [标题行] {header}")
                expected_columns = ['证券代码', '持仓数量', '平均成本', '最新价格', '持仓价值', '持仓盈亏']
                for col in expected_columns:
                    assert col in header, f"CSV缺少列: {col}"
                    print(f"    [✓] {col}: 存在")
            
            # 验证数据行
            data_lines = [line.strip() for line in lines[1:] if line.strip()]
            print(f"  [数据行数] {len(data_lines)}行")
            assert len(data_lines) == len(securities)
            
            print("【验证】数据行格式")
            for i, line in enumerate(data_lines):
                parts = line.split(',')
                print(f"    行{i+1}: {len(parts)}个字段")
                assert len(parts) >= 6, f"数据行{i+1}字段不足"
            
            print("【完成】持仓CSV导出测试通过！")
            
        finally:
            if os.path.exists(csv_path):
                os.unlink(csv_path)
                print("【清理】已删除临时CSV文件")
    
    @pytest.mark.file_io
    def test_import_from_invalid_json(self):
        """测试导入无效JSON文件
        
        验证当导入无效JSON文件时的错误处理：
        - 创建无效的JSON文件
        - 尝试导入
        - 验证错误处理和账户状态
        """
        print("\n=== 测试导入无效JSON文件 ===")
        print("【测试内容】验证导入无效JSON文件时的错误处理")
        
        # 创建临时文件
        with tempfile.NamedTemporaryFile(mode='w', suffix='.json', delete=False, encoding='utf-8') as tmp_file:
            invalid_json_path = tmp_file.name
            # 写入无效的JSON内容
            tmp_file.write('{"invalid": json, "missing": quotes}')
        
        try:
            print(f"【创建】无效JSON文件: {invalid_json_path}")
            
            context = get_jq_account("test_strategy", 100000)
            initial_cash = context.portfolio.available_cash
            
            print(f"  [初始资金] {initial_cash:,}元")
            
            print("【操作】尝试导入无效JSON")
            success = context.import_from_json(invalid_json_path)
            print(f"  [导入结果] {success} (预期: False)")
            assert success is False
            
            print("【验证】账户状态未改变")
            print(f"  [导入后资金] {context.portfolio.available_cash:,}元")
            print(f"  [持仓数量] {context.portfolio.get_position_count()}个")
            
            assert context.portfolio.available_cash == initial_cash
            assert context.portfolio.get_position_count() == 0
            
            print("【完成】无效JSON导入测试通过！")
            
        finally:
            if os.path.exists(invalid_json_path):
                os.unlink(invalid_json_path)
    
    @pytest.mark.file_io
    def test_export_to_invalid_path(self):
        """测试导出到无效路径
        
        验证当尝试导出到无效路径时的错误处理：
        - 尝试导出到没有权限的路径
        - 验证返回值和错误处理
        """
        print("\n=== 测试导出到无效路径 ===")
        print("【测试内容】验证导出到无效路径时的错误处理")
        
        invalid_path = "/invalid/path/that/does/not/exist/data.json"
        print(f"【尝试】导出到无效路径: {invalid_path}")
        
        context = get_jq_account("test_strategy", 100000)
        
        print("【操作】尝试JSON导出到无效路径")
        success = context.export_to_json(invalid_path)
        print(f"  [导出结果] {success} (预期: False)")
        assert success is False
        
        print("【操作】尝试YAML导出到无效路径")
        success = context.export_to_yaml(invalid_path.replace('.json', '.yaml'))
        print(f"  [导出结果] {success} (预期: False)")
        assert success is False
        
        print("【验证】账户功能仍然正常")
        # 执行一个简单交易验证账户功能正常
        order = order_shares('000001.SZ', 100)
        assert order is not None
        
        print("【完成】导出到无效路径测试通过！")
    
    @pytest.mark.file_io
    def test_file_format_compatibility(self):
        """测试文件格式兼容性
        
        验证不同版本生成的文件格式兼容性：
        - 导出包含所有可能字段的完整数据
        - 导入时能正确处理缺失字段
        - 验证向后兼容性
        """
        print("\n=== 测试文件格式兼容性 ===")
        print("【测试内容】验证文件格式的向后兼容性和容错能力")
        
        # 创建临时文件
        with tempfile.NamedTemporaryFile(mode='w', suffix='.json', delete=False, encoding='utf-8') as tmp_file:
            json_path = tmp_file.name
        
        try:
            print(f"【创建】临时JSON文件: {json_path}")
            
            print("【操作1】创建包含完整数据的账户")
            context1 = get_jq_account("test_strategy", 300000)
            
            # 设置子账户
            set_subportfolios([
                SubPortfolioConfig(cash=200000, type='stock'),
                SubPortfolioConfig(cash=100000, type='futures')
            ])
            
            # 执行交易
            order_shares('000001.SZ', 1000)
            order_shares('000002.SZ', 500)
            
            print("【操作2】导出完整数据")
            success = context1.export_to_json(json_path)
            assert success is True
            
            print("【操作3】手动修改JSON文件（模拟旧版本格式）")
            with open(json_path, 'r', encoding='utf-8') as f:
                original_data = json.load(f)
            
            # 创建一个简化版本（模拟旧版本格式）
            simplified_data = {
                'strategy_name': original_data['strategy_name'],
                'portfolio': {
                    'available_cash': original_data['portfolio']['available_cash'],
                    'total_value': original_data['portfolio']['total_value']
                    # 缺少一些字段
                }
                # 缺少subportfolios等字段
            }
            
            with open(json_path, 'w', encoding='utf-8') as f:
                json.dump(simplified_data, f, ensure_ascii=False, indent=2)
            
            print("【操作4】尝试导入简化格式")
            context2 = get_jq_account("test_strategy_import", 1)
            success = context2.import_from_json(json_path)
            print(f"  [导入结果] {success} (预期: True，应该能处理缺失字段)")
            
            if success:
                print("【验证】导入结果合理性")
                print(f"  [策略名称] {context2.strategy_name}")
                print(f"  [可用资金] {context2.portfolio.available_cash:,.2f}元")
                print(f"  [总资产] {context2.portfolio.total_value:,.2f}元")
                
                # 验证至少基本字段被正确导入
                assert context2.strategy_name == simplified_data['strategy_name']
                assert abs(context2.portfolio.available_cash - simplified_data['portfolio']['available_cash']) < 0.01
            else:
                print("  [说明] 导入失败，但这是可接受的行为（严格模式）")
            
            print("【完成】文件格式兼容性测试通过！")
            
        finally:
            if os.path.exists(json_path):
                os.unlink(json_path)
    
    @pytest.mark.file_io
    def test_large_file_export_performance(self):
        """测试大文件导出性能
        
        验证大量数据的文件导出性能：
        - 创建大量持仓
        - 导出为不同格式
        - 检查文件大小和导出时间
        """
        print("\n=== 测试大文件导出性能 ===")
        print("【测试内容】验证大量数据的文件导出性能")
        
        # 创建临时文件
        with tempfile.NamedTemporaryFile(mode='w', suffix='.json', delete=False, encoding='utf-8') as tmp_json:
            json_path = tmp_json.name
        
        with tempfile.NamedTemporaryFile(mode='w', suffix='.yaml', delete=False, encoding='utf-8') as tmp_yaml:
            yaml_path = tmp_yaml.name
        
        try:
            print(f"【创建】临时文件: JSON={json_path}, YAML={yaml_path}")
            
            print("【操作】创建大量持仓数据")
            context = get_jq_account("test_strategy", 10000000)  # 1000万资金
            
            # 创建大量持仓
            num_positions = 100
            print(f"  [创建] {num_positions}个持仓")
            
            for i in range(num_positions):
                security = f"{600000 + i:06d}.SH"
                amount = 100 + i * 5
                order_shares(security, amount)
            
            final_positions = context.portfolio.get_position_count()
            print(f"  [最终持仓数] {final_positions}个")
            
            print("【测试】JSON导出性能")
            import time
            start_time = time.time()
            
            success_json = context.export_to_json(json_path)
            
            json_time = time.time() - start_time
            json_size = os.path.getsize(json_path) if os.path.exists(json_path) else 0
            
            print(f"  [JSON结果] 成功:{success_json}, 耗时:{json_time:.3f}秒, 大小:{json_size}字节")
            assert success_json
            assert json_time < 3.0  # 应该在3秒内完成
            
            print("【测试】YAML导出性能")
            start_time = time.time()
            
            success_yaml = context.export_to_yaml(yaml_path)
            
            yaml_time = time.time() - start_time
            yaml_size = os.path.getsize(yaml_path) if os.path.exists(yaml_path) else 0
            
            print(f"  [YAML结果] 成功:{success_yaml}, 耗时:{yaml_time:.3f}秒, 大小:{yaml_size}字节")
            assert success_yaml
            assert yaml_time < 3.0  # 应该在3秒内完成
            
            print("【性能对比】")
            print(f"  [JSON] {json_time:.3f}秒, {json_size}字节")
            print(f"  [YAML] {yaml_time:.3f}秒, {yaml_size}字节")
            print(f"  [大小差异] YAML比JSON大{((yaml_size/json_size - 1) * 100):.1f}%")
            
            # 验证文件大小合理
            assert json_size > 1000  # 至少1KB
            assert yaml_size > 1000  # 至少1KB
            
            print("【完成】大文件导出性能测试通过！")
            
        finally:
            for path in [json_path, yaml_path]:
                if os.path.exists(path):
                    os.unlink(path)
    
    @pytest.mark.file_io
    def test_cross_format_import_export(self):
        """测试跨格式导入导出
        
        验证不同格式之间的数据转换：
        - JSON导出 → YAML导入
        - YAML导出 → JSON导入
        - 验证数据一致性
        """
        print("\n=== 测试跨格式导入导出 ===")
        print("【测试内容】验证不同文件格式之间的数据转换")
        
        # 创建临时文件
        with tempfile.NamedTemporaryFile(mode='w', suffix='.json', delete=False, encoding='utf-8') as tmp_json:
            json_path = tmp_json.name
        
        with tempfile.NamedTemporaryFile(mode='w', suffix='.yaml', delete=False, encoding='utf-8') as tmp_yaml:
            yaml_path = tmp_yaml.name
        
        try:
            print(f"【创建】临时文件: JSON={json_path}, YAML={yaml_path}")
            
            print("【操作1】创建原始账户")
            context_original = get_jq_account("test_strategy", 500000)
            
            # 设置子账户和执行交易
            set_subportfolios([
                SubPortfolioConfig(cash=300000, type='stock'),
                SubPortfolioConfig(cash=200000, type='futures')
            ])
            
            order_shares('000001.SZ', 1000)
            order_shares('000002.SZ', 500)
            
            original_cash = context_original.portfolio.available_cash
            original_positions = context_original.portfolio.get_position_count()
            
            print(f"  [原始状态] 资金:{original_cash:,.2f}元, 持仓:{original_positions}个")
            
            print("【操作2】JSON → YAML 转换")
            print("  [导出] 为JSON")
            success = context_original.export_to_json(json_path)
            assert success
            
            print("  [导入] 从JSON到新账户")
            context_json = get_jq_account("test_json_import", 1)
            success = context_json.import_from_json(json_path)
            assert success
            
            print("  [导出] 为YAML")
            success = context_json.export_to_yaml(yaml_path)
            assert success
            
            print("【操作3】YAML → JSON 转换")
            print("  [导入] 从YAML到新账户")
            context_yaml = get_jq_account("test_yaml_import", 1)
            success = context_yaml.import_from_yaml(yaml_path)
            assert success
            
            print("【验证】最终数据一致性")
            print(f"  [原始账户资金] {context_original.portfolio.available_cash:,.2f}元")
            print(f"  [最终账户资金] {context_yaml.portfolio.available_cash:,.2f}元")
            print(f"  [资金差异] {abs(context_original.portfolio.available_cash - context_yaml.portfolio.available_cash):.2f}元")
            
            print(f"  [原始持仓数] {context_original.portfolio.get_position_count()}个")
            print(f"  [最终持仓数] {context_yaml.portfolio.get_position_count()}个")
            print(f"  [持仓差异] {abs(context_original.portfolio.get_position_count() - context_yaml.portfolio.get_position_count())}个")
            
            # 验证数据一致性
            assert abs(context_yaml.portfolio.available_cash - original_cash) < 0.01
            assert context_yaml.portfolio.get_position_count() == original_positions
            
            # 验证持仓存在性
            assert context_yaml.portfolio.has_position('000001.SZ')
            assert context_yaml.portfolio.has_position('000002.SZ')
            
            print("【完成】跨格式导入导出测试通过！")
            
        finally:
            for path in [json_path, yaml_path]:
                if os.path.exists(path):
                    os.unlink(path)
    
    @pytest.mark.file_io
    def test_file_encoding_handling(self):
        """测试文件编码处理
        
        验证不同文件编码的支持：
        - UTF-8编码
        - GBK编码
        - 特殊字符处理
        """
        print("\n=== 测试文件编码处理 ===")
        print("【测试内容】验证不同文件编码的支持和特殊字符处理")
        
        # 创建临时文件
        encodings = ['utf-8', 'gbk']
        test_files = []
        
        try:
            for encoding in encodings:
                with tempfile.NamedTemporaryFile(mode='w', suffix='.json', delete=False, encoding=encoding) as tmp_file:
                    test_files.append((tmp_file.name, encoding))
                
                file_path, file_encoding = test_files[-1]
                print(f"【创建】{encoding.upper()}编码文件: {file_path}")
            
            print("【操作】创建包含中文内容的账户")
            context = get_jq_account("测试策略_中文", 200000)  # 使用中文策略名
            
            order_shares('000001.SZ', 1000)
            order_shares('600519.SH', 200)  # 贵州茅台
            
            print("【测试】不同编码导出")
            for file_path, encoding in test_files:
                print(f"  [导出] {encoding.upper()}编码")
                
                # 根据编码选择导出方法
                if encoding == 'utf-8':
                    success = context.export_to_json(file_path)
                else:
                    # 对于其他编码，可能需要特殊处理
                    success = context.export_to_json(file_path)  # 假设内部处理编码
                
                print(f"    [结果] {success}")
                if success:
                    # 验证文件存在并可读
                    assert os.path.exists(file_path)
                    
                    # 尝试用指定编码读取
                    try:
                        with open(file_path, 'r', encoding=encoding) as f:
                            content = f.read()
                        print(f"    [读取] 成功，内容长度:{len(content)}字符")
                        
                        # 验证包含中文内容
                        if '测试策略' in content:
                            print(f"    [✓] 包含中文内容")
                        else:
                            print(f"    [!] 中文内容可能被编码转换")
                            
                    except UnicodeDecodeError as e:
                        print(f"    [!] {encoding.upper()}解码失败: {e}")
                        # 这是可接受的，取决于实现
            
            print("【完成】文件编码处理测试通过！")
            
        finally:
            for file_path, encoding in test_files:
                if os.path.exists(file_path):
                    os.unlink(file_path)