202 lines
5.4 KiB
Python
202 lines
5.4 KiB
Python
#!/usr/bin/env python
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# encoding: utf-8
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"""
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@author: kira
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@contact: 262667641@qq.com
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@file: decorators.py
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@time: 2023/3/21 17:41
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@desc:
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"""
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import json
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import subprocess
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import sys
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from functools import wraps
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import yaml
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def singleton(cls):
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"""
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Args:
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cls:Decorated class
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Returns:
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"""
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instance = {}
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@wraps(cls)
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def get_instance(*args, **kwargs):
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if cls not in instance:
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instance[cls] = cls(*args, **kwargs)
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return instance[cls]
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return get_instance
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def request_retry_on_exception(retries=2, delay=1.5):
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"""Retry on Failed Requests"""
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from common.utils.exceptions import RequestSendingError
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def request_decorator(func):
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e = None
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@wraps(func)
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def wrapper(*args, **kwargs):
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nonlocal e
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for i in range(retries):
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# st = time.time()
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try:
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response = func(*args, **kwargs)
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# print(f"| 代码耗时--> {time.time() - st}")
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print(f"| 请求地址 --> {response.request.url}")
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print(f"| 请求方法 --> {response.request.method}")
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print(f"| 请求头 --> {response.request.headers}")
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print(f"| 请求 body --> {response.request.body}")
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print(f"| 接口状态--> {response.status_code}")
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print(f"| 接口耗时--> {response.elapsed}")
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print(f"| 接口响应--> {response.text}")
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except Exception as error:
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print(f"| 第{i + 1}次请求参数=【{args}__{kwargs}】")
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# print(f"| 代码耗时--> {time.time() - st}")
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e = error
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time.sleep(delay)
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else:
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return response
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raise RequestSendingError(f"{args}__{kwargs}", e)
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return wrapper
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return request_decorator
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def list_data(datas):
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"""
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:param datas: Test data
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:return:
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"""
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def wrapper(func):
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setattr(func, "PARAMS", datas)
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return func
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return wrapper
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def yaml_data(file_path):
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"""
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:param file_path:YAML file path
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:return:
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"""
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def wrapper(func):
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try:
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with open(file_path, "r", encoding="utf-8") as f:
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datas = yaml.load(f, Loader=yaml.FullLoader)
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except:
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with open(file_path, "r", encoding="gbk") as f:
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datas = yaml.load(f, Loader=yaml.FullLoader)
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setattr(func, "PARAMS", datas)
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return func
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return wrapper
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def json_data(file_path):
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"""
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:param file_path: YAML file path
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:return:
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"""
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def wrapper(func):
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try:
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with open(file_path, "r", encoding="utf-8") as f:
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datas = json.load(f)
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except:
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with open(file_path, "r", encoding="gbk") as f:
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datas = json.load(f)
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setattr(func, "PARAMS", datas)
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return func
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return wrapper
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import time
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def run_count(count, interval, func, *args, **kwargs):
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"""Run Count"""
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for i in range(count):
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try:
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func(*args, **kwargs)
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except Exception as e:
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# print("====用例执行失败===", e)
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# traceback.print_exc()
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if i + 1 == count:
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raise e
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else:
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print("==============开始第{}次重运行=============".format(i))
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time.sleep(interval)
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else:
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break
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def rerun(count, interval=2):
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"""
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Decorator for rerunning a single test case; note that if using ddt, this method should be used before ddt
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:param count: Number of retries on failure
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:param interval: Interval time between each retry, default is three seconds
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:return:
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"""
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def wrapper(func):
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def decorator(*args, **kwargs):
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run_count(count, interval, func, *args, **kwargs)
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return decorator
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return wrapper
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def install_dependencies(func):
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"""Checking and Installing Dependencies"""
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@wraps(func)
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def wrapper(*args, **kwargs):
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try:
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print("---------------- Checking and Installing Dependencies ----------------")
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subprocess.check_call(["pipenv", "install"])
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print("---------------- Successfully Installed All Dependencies ----------------")
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except Exception as e:
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print(f"Failed to install dependencies: {str(e)}")
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sys.exit(1)
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else:
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return func(*args, **kwargs)
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return wrapper
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def send_request_decorator(func):
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"""Decorator to handle the logic of sending requests."""
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def decorator(self, host, method, extract_request_data):
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"""Handles setup, request execution, and teardown logic for sending requests.
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Args:
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self: The instance of the class.
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host: The host for the request.
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method: The HTTP method for the request.
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extract_request_data: Data for extracting request details.
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Returns:
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The response from the request.
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"""
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setup_script, teardown_script = self.script(self.variables)
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self.execute_dynamic_code(self.variables, setup_script)
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response = func(self, host, method, extract_request_data)
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self.execute_dynamic_code(self.response, teardown_script)
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return response
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return decorator
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