Files
intelligence_system/test/数据库链接测试.py
2025-10-17 17:59:28 +08:00

280 lines
9.5 KiB
Python

import unittest
import pandas as pd
from datetime import datetime
import time
import pymysql
import platform
from concurrent.futures import ThreadPoolExecutor
from utils.mysql_agent import MySQLAgent
class TestMySQLAgent(unittest.TestCase):
@classmethod
def setUpClass(cls):
"""初始化测试环境和测试表"""
# 创建唯一的测试数据库和表名(避免冲突)
cls.test_db_name = f"test_db_{datetime.now().strftime('%Y%m%d%H%M%S')}"
cls.test_table = f"test_table_{datetime.now().strftime('%Y%m%d%H%M%S')}"
# 基础配置(根据实际环境修改)
cls.base_config = {
'host': 'localhost',
'port': 3306,
'user': 'root',
'password': '123123',
'max_connections': 10
}
# 创建测试数据库
cls._create_test_database()
# 初始化数据库连接
cls.db = MySQLAgent({
**cls.base_config,
'database': cls.test_db_name
})
# 创建测试表并插入初始数据
test_data = pd.DataFrame({
'id': [1, 2, 3],
'name': ['Test1', 'Test2', 'Test3'],
'value': [10.5, 20.3, 30.8],
'created_at': pd.to_datetime(['2023-01-01', '2023-01-02', '2023-01-03'])
})
cls.db.create_table_from_df(cls.test_table, test_data, primary_key='id')
cls.db.insert_from_df(cls.test_table, test_data)
@classmethod
def _create_test_database(cls):
"""创建测试数据库"""
temp_conn = pymysql.connect(
host=cls.base_config['host'],
port=cls.base_config['port'],
user=cls.base_config['user'],
password=cls.base_config['password'],
charset='utf8mb4'
)
try:
with temp_conn.cursor() as cursor:
cursor.execute(f"CREATE DATABASE IF NOT EXISTS {cls.test_db_name}")
cursor.execute(f"USE {cls.test_db_name}")
cursor.execute("SET GLOBAL max_connections = 100")
temp_conn.commit()
finally:
temp_conn.close()
@classmethod
def tearDownClass(cls):
"""清理测试环境"""
if hasattr(cls, 'db') and cls.db:
# 删除测试表
if cls.db.table_exists(cls.test_table):
cls.db.drop_table(cls.test_table)
# 删除测试数据库
temp_conn = pymysql.connect(**cls.base_config, charset='utf8mb4')
try:
with temp_conn.cursor() as cursor:
cursor.execute(f"DROP DATABASE IF EXISTS {cls.test_db_name}")
temp_conn.commit()
finally:
temp_conn.close()
def test_connection(self):
"""测试数据库连接"""
version_df = self.db.query_to_df("SELECT VERSION() as version")
self.assertIsNotNone(version_df)
self.assertEqual(len(version_df), 1)
print(f"数据库版本: {version_df['version'].iloc[0]}")
def test_query_to_df(self):
"""测试查询返回DataFrame"""
df = self.db.query_to_df(
f"SELECT * FROM {self.test_table} WHERE id > %s",
params=(1,)
)
self.assertIsInstance(df, pd.DataFrame)
self.assertEqual(len(df), 2) # id>1 的数据有2条
self.assertIn('name', df.columns)
def test_insert_from_df(self):
"""测试DataFrame插入"""
new_data = pd.DataFrame({
'id': [4, 5],
'name': ['Test4', 'Test5'],
'value': [40.1, 50.2],
'created_at': pd.to_datetime(['2023-01-04', '2023-01-05'])
})
inserted_rows = self.db.insert_from_df(self.test_table, new_data)
self.assertEqual(inserted_rows, 2)
# 验证插入结果
result_df = self.db.query_to_df(
f"SELECT name FROM {self.test_table} WHERE id IN (4,5)"
)
self.assertEqual(result_df['name'].tolist(), ['Test4', 'Test5'])
def test_update_from_df(self):
"""测试DataFrame更新"""
update_data = pd.DataFrame({
'id': [1, 2],
'name': ['Updated1', 'Updated2']
})
updated_rows = self.db.update_from_df(self.test_table, update_data, 'id')
self.assertGreaterEqual(updated_rows, 2)
# 验证更新结果
result_df = self.db.query_to_df(
f"SELECT name FROM {self.test_table} WHERE id IN (1,2)"
)
self.assertIn('Updated1', result_df['name'].values)
self.assertIn('Updated2', result_df['name'].values)
def test_transaction(self):
"""测试事务处理"""
conn = self.db.begin_transaction()
try:
# 执行事务内操作
cursor = conn.cursor()
cursor.execute(f"UPDATE {self.test_table} SET value = 99.9 WHERE id = 1")
cursor.execute(f"UPDATE {self.test_table} SET value = 88.8 WHERE id = 2")
self.db.commit_transaction(conn)
except Exception:
self.db.rollback_transaction(conn)
raise
# 验证事务提交结果
result_df = self.db.query_to_df(
f"SELECT value FROM {self.test_table} WHERE id IN (1,2)"
)
self.assertIn(99.9, result_df['value'].values)
self.assertIn(88.8, result_df['value'].values)
def test_large_data_insert(self):
"""测试大数据量插入"""
# 生成1000行测试数据
large_data = pd.DataFrame({
'id': range(1000, 2000),
'name': [f"Item_{i}" for i in range(1000, 2000)],
'value': [i * 0.1 for i in range(1000, 2000)],
'created_at': pd.date_range('2023-01-01', periods=1000)
})
# 根据平台自动调整批次大小
chunk_size = 100 if platform.system() == 'Windows' else 500
start_time = time.time()
inserted_rows = self.db.insert_from_df(
self.test_table,
large_data,
chunk_size=chunk_size
)
elapsed = time.time() - start_time
self.assertEqual(inserted_rows, 1000)
print(f"插入1000行数据耗时: {elapsed:.2f}秒 (批次大小: {chunk_size})")
def test_concurrent_access(self):
"""测试并发访问"""
def query_worker(i):
"""并发查询工作函数"""
df = self.db.query_to_df(
f"SELECT * FROM {self.test_table} WHERE id = %s",
params=(i % 3 + 1,) # 查询id=1,2,3循环
)
return len(df)
# 20个线程执行100次查询
start_time = time.time()
with ThreadPoolExecutor(max_workers=20) as executor:
results = list(executor.map(query_worker, range(100)))
elapsed = time.time() - start_time
self.assertEqual(sum(results), 100) # 每次查询应返回1行
print(f"100次并发查询耗时: {elapsed:.2f}")
class TestPlatformSpecific(unittest.TestCase):
"""平台特定功能测试"""
@classmethod
def setUpClass(cls):
cls.test_db_name = f"test_platform_db_{datetime.now().strftime('%Y%m%d%H%M%S')}"
cls.base_config = {
'host': 'localhost',
'port': 3306,
'user': 'root',
'password': '123123'
}
# 创建测试数据库
temp_conn = pymysql.connect(**cls.base_config, charset='utf8mb4')
try:
with temp_conn.cursor() as cursor:
cursor.execute(f"CREATE DATABASE IF NOT EXISTS {cls.test_db_name}")
temp_conn.commit()
finally:
temp_conn.close()
@classmethod
def tearDownClass(cls):
"""清理测试数据库"""
temp_conn = pymysql.connect(**cls.base_config, charset='utf8mb4')
try:
with temp_conn.cursor() as cursor:
cursor.execute(f"DROP DATABASE IF EXISTS {cls.test_db_name}")
temp_conn.commit()
finally:
temp_conn.close()
def test_windows_timeout(self):
"""测试Windows平台超时处理"""
if platform.system() != 'Windows':
self.skipTest("仅在Windows平台运行")
config = {
**self.base_config,
'database': self.test_db_name,
'connect_timeout': 1,
'read_timeout': 1,
'write_timeout': 1
}
db = MySQLAgent(config)
# 执行会超时的查询(SLEEP(2)超过1秒超时设置)
with self.assertRaises((pymysql.OperationalError, TimeoutError)) as ctx:
try:
db.query_to_df("SELECT SLEEP(2)")
except Exception as e:
# 提取底层异常信息(可能被包装)
while hasattr(e, 'args') and len(e.args) > 0 and isinstance(e.args[0], Exception):
e = e.args[0]
raise e
error_msg = str(ctx.exception)
self.assertTrue(
"timed out" in error_msg or
"timeout" in error_msg or
"HY000" in error_msg, # MySQL超时错误码
f"未检测到超时异常,实际异常: {error_msg}"
)
def test_macos_ssl_connection(self):
"""测试macOS平台SSL连接"""
if platform.system() != 'Darwin':
self.skipTest("仅在macOS平台运行")
config = {
**self.base_config,
'database': self.test_db_name,
'ssl': {'ca': '/usr/local/etc/openssl/cert.pem'}
}
db = MySQLAgent(config)
version_df = db.query_to_df("SELECT VERSION() as version")
self.assertIsNotNone(version_df)
if __name__ == '__main__':
unittest.main(verbosity=2)