提交完整的joyhub_backend目录,包含library和test_case
This commit is contained in:
0
joyhub_backend/__init__.py
Normal file
0
joyhub_backend/__init__.py
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11
joyhub_backend/library/__init__.py
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11
joyhub_backend/library/__init__.py
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@@ -0,0 +1,11 @@
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# -*- coding: utf-8 -*-
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from joyhub_backend.library.functional_case_converter import (
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ApiContextItem,
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ApiMatcher,
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FunctionalCaseInput,
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FunctionalCaseParser,
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FunctionalCaseToApiAutomationService,
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FunctionalStep,
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LLMApiCaseConverter,
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convert_functional_case,
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)
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148
joyhub_backend/library/auth.py
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148
joyhub_backend/library/auth.py
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@@ -0,0 +1,148 @@
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# -*- coding: utf-8 -*-
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import json
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import logging
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import os
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import allure
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import requests
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CAPTCHA_URL = os.getenv(
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"JOYHUB_CAPTCHA_URL",
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"http://test-manager-api.best-envision.com/admin/login/captcha",
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)
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LOGIN_BASE_URL = os.getenv(
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"JOYHUB_LOGIN_BASE_URL",
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"http://test-manager-api.best-envision.com",
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)
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LOGIN_PATH = os.getenv("JOYHUB_LOGIN_PATH", "/admin/login/login")
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USERNAME = os.getenv("JOYHUB_USERNAME", "guojiabao")
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PASSWORD = os.getenv("JOYHUB_PASSWORD", "gjb123456")
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CAPTCHA = os.getenv("JOYHUB_CAPTCHA", "1111")
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TIMEOUT = int(os.getenv("JOYHUB_TIMEOUT", "20"))
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TENANT_ID = os.getenv("JOYHUB_TENANT_ID", "126")
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class JoyhubAuth(object):
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def __init__(self):
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self.session = requests.Session()
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self._token = None
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@property
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def login_url(self):
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return LOGIN_BASE_URL.rstrip("/") + LOGIN_PATH
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def get_captcha_key(self):
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with allure.step("前置:获取登录验证码 key"):
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logging.info("GET %s", CAPTCHA_URL)
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response = self.session.get(CAPTCHA_URL, timeout=TIMEOUT)
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self._attach_response("captcha", response)
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response.raise_for_status()
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data = response.json()
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key = self._extract_key(data)
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assert key, "验证码接口未返回 key,响应:{}".format(data)
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return key
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def login(self):
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if self._token:
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return self._token
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key = self.get_captcha_key()
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body = {
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"key": key,
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"username": USERNAME,
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"password": PASSWORD,
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"captcha": CAPTCHA,
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}
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headers = {"Content-Type": "application/json", "tenant-id": TENANT_ID}
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with allure.step("前置:登录并获取 token"):
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logging.info("POST %s", self.login_url)
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logging.info("request headers: %s", headers)
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logging.info("request body: %s", self._safe_body(body))
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response = self.session.post(self.login_url, json=body, headers=headers, timeout=TIMEOUT)
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self._attach_request(self.login_url, "POST", headers, self._safe_body(body))
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self._attach_response("login", response)
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response.raise_for_status()
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data = response.json()
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token = self._extract_token(data)
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assert token, "登录接口未返回 token,响应:{}".format(data)
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self._token = token if token.startswith("Bearer ") else "Bearer " + token
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return self._token
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def auth_headers(self):
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return {
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"Authorization": self.login(),
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"Content-Type": "application/json",
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"tenant-id": TENANT_ID,
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}
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@staticmethod
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def _extract_key(data):
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if isinstance(data, dict):
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for field in ("key", "captchaKey", "captcha_key", "uuid"):
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if data.get(field):
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return data.get(field)
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nested = data.get("data")
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if isinstance(nested, dict):
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for field in ("key", "captchaKey", "captcha_key", "uuid"):
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if nested.get(field):
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return nested.get(field)
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if isinstance(nested, str):
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return nested
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return None
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@staticmethod
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def _extract_token(data):
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token_fields = (
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"token",
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"access_token",
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"accessToken",
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"Authorization",
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"authorization",
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"userToken",
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"user_token",
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"jwt",
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)
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if isinstance(data, dict):
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for field in token_fields:
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token = data.get(field)
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if JoyhubAuth._looks_like_token(token):
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return token
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nested = data.get("data")
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if isinstance(nested, dict):
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for field in token_fields:
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token = nested.get(field)
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if JoyhubAuth._looks_like_token(token):
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return token
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return None
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@staticmethod
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def _looks_like_token(value):
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if not isinstance(value, str):
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return False
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value = value.strip()
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if not value:
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return False
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if any(ord(char) > 127 for char in value):
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return False
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return len(value) >= 16 or value.startswith("Bearer ")
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@staticmethod
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def _safe_body(body):
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safe = dict(body)
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if "password" in safe:
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safe["password"] = "******"
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return safe
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@staticmethod
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def _attach_request(url, method, headers, body):
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allure.attach(str(url), "请求url", allure.attachment_type.TEXT)
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allure.attach(str(method), "请求方式", allure.attachment_type.TEXT)
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allure.attach(json.dumps(headers, ensure_ascii=False, indent=2), "请求头", allure.attachment_type.JSON)
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allure.attach(json.dumps(body, ensure_ascii=False, indent=2), "请求体", allure.attachment_type.JSON)
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@staticmethod
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def _attach_response(name, response):
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logging.info("%s response status: %s", name, response.status_code)
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logging.info("%s response body: %s", name, response.text)
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allure.attach(str(response.status_code), "{} 响应状态码".format(name), allure.attachment_type.TEXT)
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allure.attach(response.text, "{} 响应体".format(name), allure.attachment_type.JSON)
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62
joyhub_backend/library/business.py
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62
joyhub_backend/library/business.py
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@@ -0,0 +1,62 @@
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# -*- coding: utf-8 -*-
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import logging
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from joyhub_backend.library.joyhub_interface import JoyhubInterface
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class JoyhubBusiness(JoyhubInterface):
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def get_video_label_list(self):
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logging.info("==========获取视频标签列表==========")
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body = {
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"page": 1,
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"limit": 10,
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"sort": "id",
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"label_name": "",
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"category_id": 0,
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"video_type": 0,
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"video_num": 0,
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"created_at": [],
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"order": "descending",
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}
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return self.request("获取视频标签列表", "POST", "admin/video/getVideoLabelList", body=body)
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def get_video_category_list(self):
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logging.info("==========获取视频分类列表==========")
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body = {
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"page": 1,
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"limit": 10,
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"sort": "id",
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"category_name": "",
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"order": "descending",
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}
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return self.request("获取视频分类列表", "POST", "admin/video/getVideoCategoryList", body=body)
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def get_exchange_record_list(self):
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logging.info("==========兑换记录列表==========")
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body = {
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"page": 1,
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"limit": 10,
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"status": "",
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"goods_type": "",
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"created_at": [],
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}
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return self.request("兑换记录列表", "POST", "admin/exchange/recordList", body=body)
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def get_app_feedback_list(self):
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logging.info("==========app反馈意见列表==========")
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body = {
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"page": 1,
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"limit": 10,
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"status": "",
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"keyword": "",
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}
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return self.request("app反馈意见列表", "POST", "admin/feedback/list", body=body)
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def get_sensitive_word_list(self):
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logging.info("==========敏感词列表==========")
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body = {
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"page": 1,
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"limit": 10,
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"keyword": "",
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}
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return self.request("敏感词列表", "POST", "admin/sensitiveWord/list", body=body)
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917
joyhub_backend/library/functional_case_converter.py
Normal file
917
joyhub_backend/library/functional_case_converter.py
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@@ -0,0 +1,917 @@
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# -*- coding: utf-8 -*-
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import argparse
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import copy
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import json
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import os
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import re
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from dataclasses import asdict, dataclass, field
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from difflib import SequenceMatcher
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from typing import Any, Callable, Dict, Iterable, List, Optional, Union
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COMMON_CN_KEYWORDS = [
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"登录",
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"查询",
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"搜索",
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"筛选",
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"列表",
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"详情",
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"新增",
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"创建",
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"添加",
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"修改",
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"编辑",
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"更新",
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"删除",
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"导出",
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"导入",
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"上传",
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"下载",
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"提交",
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"审核",
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"确认",
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"保存",
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"分页",
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"分页查询",
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"性能",
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"响应时间",
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"超时",
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"返回",
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"结果",
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"成功",
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"失败",
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"校验",
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"重置",
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"启用",
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"停用",
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"开关",
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"状态",
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"排序",
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"标签",
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"分类",
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"关键字",
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"关键字搜索",
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"模糊搜索",
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]
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METHOD_INTENT_KEYWORDS = {
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"GET": ["查询", "搜索", "筛选", "列表", "详情", "获取", "查看", "分页", "返回"],
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"POST": ["新增", "创建", "添加", "登录", "提交", "导入", "上传", "确认", "审核", "保存"],
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"PUT": ["修改", "编辑", "更新", "重置"],
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"PATCH": ["修改", "编辑", "更新", "状态", "启用", "停用", "开关"],
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"DELETE": ["删除", "移除"],
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}
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DEFAULT_PLACEHOLDER_URL = "/api/need-confirm"
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DEFAULT_PAGE_SIZE = 10
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DEFAULT_RESPONSE_TIME_MS = 1000
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@dataclass
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class FunctionalStep:
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stepNo: int
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action: str
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expectedResult: str = ""
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@dataclass
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class ApiContextItem:
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apiName: str = ""
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method: str = ""
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url: str = ""
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description: str = ""
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headers: Dict[str, Any] = field(default_factory=dict)
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queryParams: Dict[str, Any] = field(default_factory=dict)
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requestBody: Any = None
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responseExample: Any = None
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tags: List[str] = field(default_factory=list)
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@dataclass
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class FunctionalCaseInput:
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caseId: str = ""
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caseKey: str = ""
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caseName: str = ""
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projectName: str = ""
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moduleName: str = ""
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priority: str = ""
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preconditions: str = ""
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steps: List[FunctionalStep] = field(default_factory=list)
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expectedResults: List[str] = field(default_factory=list)
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apiContext: Optional[List[ApiContextItem]] = None
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generateOptions: Dict[str, Any] = field(default_factory=dict)
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extra: Dict[str, Any] = field(default_factory=dict)
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class FunctionalCaseParser:
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@classmethod
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def parse(cls, payload: Union[str, Dict[str, Any], FunctionalCaseInput]) -> FunctionalCaseInput:
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if isinstance(payload, FunctionalCaseInput):
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return payload
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if isinstance(payload, str):
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try:
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payload = json.loads(payload)
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except Exception:
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payload = {
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"caseName": "手工输入功能用例",
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"steps": [payload],
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"expectedResults": [],
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}
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if not isinstance(payload, dict):
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raise TypeError("functional case payload must be dict, json string or FunctionalCaseInput")
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steps = cls._normalize_steps(payload.get("steps") or payload.get("step") or [])
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expected_results = cls._normalize_text_list(
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payload.get("expectedResults")
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or payload.get("expectedResult")
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or payload.get("expectations")
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or []
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)
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api_context = cls._normalize_api_context(payload.get("apiContext") or payload.get("apis") or payload.get("apiInfo"))
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generate_options = payload.get("generateOptions") or payload.get("options") or {}
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known_keys = {
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"caseId",
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"caseKey",
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"caseName",
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"projectName",
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"moduleName",
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"priority",
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"preconditions",
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"steps",
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"step",
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"expectedResults",
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"expectedResult",
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"expectations",
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"apiContext",
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"apis",
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"apiInfo",
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"generateOptions",
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"options",
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}
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extra = {key: value for key, value in payload.items() if key not in known_keys}
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return FunctionalCaseInput(
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caseId=str(payload.get("caseId", "") or ""),
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caseKey=str(payload.get("caseKey", "") or ""),
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caseName=str(payload.get("caseName", "") or payload.get("name", "") or ""),
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projectName=str(payload.get("projectName", "") or ""),
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moduleName=str(payload.get("moduleName", "") or ""),
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priority=str(payload.get("priority", "") or ""),
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preconditions=str(payload.get("preconditions", "") or payload.get("precondition", "") or ""),
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steps=steps,
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expectedResults=expected_results,
|
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apiContext=api_context,
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generateOptions=generate_options if isinstance(generate_options, dict) else {},
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extra=extra,
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)
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@staticmethod
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def _normalize_steps(value: Any) -> List[FunctionalStep]:
|
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if not value:
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return []
|
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if isinstance(value, str):
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raw_items = [item.strip() for item in re.split(r"[\n\r]+", value) if item.strip()]
|
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if len(raw_items) <= 1:
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raw_items = [item.strip() for item in re.split(r"(?<=[。;;])", value) if item.strip()]
|
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items = raw_items
|
||||
elif isinstance(value, list):
|
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items = value
|
||||
else:
|
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items = [value]
|
||||
|
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normalized: List[FunctionalStep] = []
|
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for index, item in enumerate(items, start=1):
|
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if isinstance(item, dict):
|
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step_no = int(item.get("stepNo") or item.get("step_no") or item.get("no") or index)
|
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action = str(item.get("action") or item.get("step") or item.get("content") or item.get("description") or "")
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||||
expected_result = str(item.get("expectedResult") or item.get("expected") or "")
|
||||
else:
|
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raw_text = str(item).strip()
|
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step_no = index
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||||
action = re.sub(r"^\s*\d+[\.、\)]\s*", "", raw_text)
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||||
expected_result = ""
|
||||
if action:
|
||||
normalized.append(FunctionalStep(stepNo=step_no, action=action, expectedResult=expected_result))
|
||||
return normalized
|
||||
|
||||
@staticmethod
|
||||
def _normalize_text_list(value: Any) -> List[str]:
|
||||
if not value:
|
||||
return []
|
||||
if isinstance(value, str):
|
||||
parts = [item.strip() for item in re.split(r"[\n\r]+", value) if item.strip()]
|
||||
if len(parts) <= 1:
|
||||
parts = [item.strip() for item in re.split(r"[。;;]\s*", value) if item.strip()]
|
||||
return [item for item in parts if item]
|
||||
if isinstance(value, list):
|
||||
result = []
|
||||
for item in value:
|
||||
if isinstance(item, dict):
|
||||
text = str(item.get("text") or item.get("content") or item.get("expected") or "").strip()
|
||||
else:
|
||||
text = str(item).strip()
|
||||
if text:
|
||||
result.append(text)
|
||||
return result
|
||||
return [str(value).strip()] if str(value).strip() else []
|
||||
|
||||
@staticmethod
|
||||
def _normalize_api_context(value: Any) -> Optional[List[ApiContextItem]]:
|
||||
if not value:
|
||||
return None
|
||||
|
||||
if isinstance(value, dict):
|
||||
if "apis" in value and isinstance(value["apis"], list):
|
||||
value = value["apis"]
|
||||
elif "items" in value and isinstance(value["items"], list):
|
||||
value = value["items"]
|
||||
else:
|
||||
value = [value]
|
||||
|
||||
if isinstance(value, str):
|
||||
value = value.strip()
|
||||
if not value:
|
||||
return None
|
||||
try:
|
||||
parsed = json.loads(value)
|
||||
return FunctionalCaseParser._normalize_api_context(parsed)
|
||||
except Exception:
|
||||
return FunctionalCaseParser._parse_markdown_api_context(value)
|
||||
|
||||
if not isinstance(value, list):
|
||||
return None
|
||||
|
||||
apis: List[ApiContextItem] = []
|
||||
for item in value:
|
||||
if isinstance(item, ApiContextItem):
|
||||
apis.append(item)
|
||||
continue
|
||||
if not isinstance(item, dict):
|
||||
continue
|
||||
headers = item.get("headers") or item.get("header") or {}
|
||||
query_params = item.get("queryParams") or item.get("query") or item.get("params") or {}
|
||||
tags = item.get("tags") or []
|
||||
if isinstance(tags, str):
|
||||
tags = [tag.strip() for tag in re.split(r"[\s,,/|]+", tags) if tag.strip()]
|
||||
apis.append(
|
||||
ApiContextItem(
|
||||
apiName=str(item.get("apiName") or item.get("name") or ""),
|
||||
method=str(item.get("method") or item.get("httpMethod") or "").upper(),
|
||||
url=str(item.get("url") or item.get("path") or ""),
|
||||
description=str(item.get("description") or item.get("desc") or ""),
|
||||
headers=headers if isinstance(headers, dict) else {},
|
||||
queryParams=query_params if isinstance(query_params, dict) else {},
|
||||
requestBody=item.get("requestBody") if "requestBody" in item else item.get("body"),
|
||||
responseExample=item.get("responseExample") or item.get("response") or item.get("example"),
|
||||
tags=tags if isinstance(tags, list) else [],
|
||||
)
|
||||
)
|
||||
return apis or None
|
||||
|
||||
@staticmethod
|
||||
def _parse_markdown_api_context(text: str) -> Optional[List[ApiContextItem]]:
|
||||
lines = text.splitlines()
|
||||
apis: List[ApiContextItem] = []
|
||||
current: Dict[str, Any] = {}
|
||||
in_body = False
|
||||
body_lines: List[str] = []
|
||||
|
||||
def flush_current():
|
||||
nonlocal current, body_lines, in_body
|
||||
if not current:
|
||||
return
|
||||
body_text = "\n".join(body_lines).strip()
|
||||
request_body = FunctionalCaseParser._safe_json_load(body_text)
|
||||
apis.append(
|
||||
ApiContextItem(
|
||||
apiName=current.get("apiName", ""),
|
||||
method=current.get("method", ""),
|
||||
url=current.get("url", ""),
|
||||
description=current.get("description", ""),
|
||||
headers=current.get("headers", {}),
|
||||
queryParams=current.get("queryParams", {}),
|
||||
requestBody=request_body if request_body is not None else body_text,
|
||||
responseExample=current.get("responseExample"),
|
||||
tags=current.get("tags", []),
|
||||
)
|
||||
)
|
||||
current = {}
|
||||
body_lines = []
|
||||
in_body = False
|
||||
|
||||
for line in lines:
|
||||
stripped = line.strip()
|
||||
if stripped.startswith("## "):
|
||||
flush_current()
|
||||
current["apiName"] = stripped[3:].strip()
|
||||
continue
|
||||
if stripped == "**接口URL**":
|
||||
continue
|
||||
if stripped.startswith("> ") and not current.get("url"):
|
||||
value = stripped[2:].strip()
|
||||
if value and value != "暂无参数":
|
||||
current["url"] = value
|
||||
continue
|
||||
if stripped == "**请求方式**":
|
||||
continue
|
||||
if stripped == "**请求Body参数**":
|
||||
in_body = True
|
||||
body_lines = []
|
||||
continue
|
||||
if stripped == "**响应示例**":
|
||||
in_body = False
|
||||
continue
|
||||
if in_body:
|
||||
if stripped.startswith("```"):
|
||||
continue
|
||||
body_lines.append(line)
|
||||
|
||||
flush_current()
|
||||
return apis or None
|
||||
|
||||
@staticmethod
|
||||
def _safe_json_load(text: str) -> Any:
|
||||
if not text:
|
||||
return None
|
||||
cleaned = text.strip()
|
||||
if cleaned.startswith("```"):
|
||||
cleaned = re.sub(r"^```[a-zA-Z0-9_-]*\s*", "", cleaned)
|
||||
cleaned = re.sub(r"\s*```$", "", cleaned)
|
||||
try:
|
||||
return json.loads(cleaned)
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
|
||||
class ApiMatcher:
|
||||
def match(self, functional_case: FunctionalCaseInput, candidates: List[ApiContextItem], top_k: int = 3) -> List[Dict[str, Any]]:
|
||||
matched: List[Dict[str, Any]] = []
|
||||
keywords = self.extract_keywords(functional_case)
|
||||
intent = self.detect_intent(functional_case)
|
||||
|
||||
for api in candidates:
|
||||
score = self._score_api(api, keywords, intent, functional_case)
|
||||
if score <= 0:
|
||||
continue
|
||||
matched.append(
|
||||
{
|
||||
"score": round(score, 4),
|
||||
"api": api,
|
||||
"reason": self._build_reason(api, keywords, intent),
|
||||
}
|
||||
)
|
||||
|
||||
matched.sort(key=lambda item: item["score"], reverse=True)
|
||||
return matched[:top_k]
|
||||
|
||||
def extract_keywords(self, functional_case: FunctionalCaseInput) -> List[str]:
|
||||
texts = [functional_case.caseName, functional_case.moduleName, functional_case.preconditions]
|
||||
texts.extend(step.action for step in functional_case.steps)
|
||||
texts.extend(step.expectedResult for step in functional_case.steps if step.expectedResult)
|
||||
texts.extend(functional_case.expectedResults)
|
||||
texts.extend(str(value) for value in functional_case.extra.values() if value is not None)
|
||||
full_text = " \n ".join(texts)
|
||||
keywords: List[str] = []
|
||||
|
||||
for keyword in COMMON_CN_KEYWORDS:
|
||||
if keyword in full_text and keyword not in keywords:
|
||||
keywords.append(keyword)
|
||||
|
||||
english_tokens = re.findall(r"[A-Za-z_][A-Za-z0-9_]{1,}", full_text)
|
||||
for token in english_tokens:
|
||||
if token not in keywords:
|
||||
keywords.append(token)
|
||||
|
||||
generic_tokens = re.findall(r"[\u4e00-\u9fa5]{2,}", full_text)
|
||||
for token in generic_tokens:
|
||||
if len(token) <= 2:
|
||||
if token not in keywords:
|
||||
keywords.append(token)
|
||||
continue
|
||||
if token not in keywords:
|
||||
keywords.append(token)
|
||||
|
||||
return self._dedupe(keywords)
|
||||
|
||||
def detect_intent(self, functional_case: FunctionalCaseInput) -> str:
|
||||
text = self._all_text(functional_case)
|
||||
for method, keywords in METHOD_INTENT_KEYWORDS.items():
|
||||
if any(keyword in text for keyword in keywords):
|
||||
return method
|
||||
return "GET"
|
||||
|
||||
def _score_api(self, api: ApiContextItem, keywords: List[str], intent: str, functional_case: FunctionalCaseInput) -> float:
|
||||
score = 0.0
|
||||
api_text = " ".join(
|
||||
[
|
||||
api.apiName or "",
|
||||
api.method or "",
|
||||
api.url or "",
|
||||
api.description or "",
|
||||
" ".join(api.tags or []),
|
||||
" ".join(api.headers.keys()),
|
||||
" ".join(api.queryParams.keys()),
|
||||
]
|
||||
)
|
||||
if api.method and api.method.upper() == intent:
|
||||
score += 1.2
|
||||
elif api.method and api.method.upper() in ("GET", "POST", "PUT", "PATCH", "DELETE"):
|
||||
score += 0.2
|
||||
|
||||
for keyword in keywords:
|
||||
if keyword and keyword in api_text:
|
||||
score += 0.8
|
||||
|
||||
for token in self._url_tokens(api.url):
|
||||
if token and any(keyword in token or token in keyword for keyword in keywords):
|
||||
score += 0.6
|
||||
|
||||
if functional_case.moduleName and functional_case.moduleName in api_text:
|
||||
score += 0.8
|
||||
if functional_case.caseName and functional_case.caseName in api_text:
|
||||
score += 0.5
|
||||
|
||||
ratio = SequenceMatcher(None, self._all_text(functional_case), api_text).ratio()
|
||||
score += ratio * 0.8
|
||||
return score
|
||||
|
||||
@staticmethod
|
||||
def _build_reason(api: ApiContextItem, keywords: List[str], intent: str) -> str:
|
||||
matched_keywords = [keyword for keyword in keywords if keyword and keyword in (api.apiName + " " + api.description + " " + api.url)]
|
||||
parts = []
|
||||
if api.method and api.method.upper() == intent:
|
||||
parts.append("方法匹配")
|
||||
if matched_keywords:
|
||||
parts.append("关键词命中:{}".format("、".join(matched_keywords[:5])))
|
||||
return "; ".join(parts) or "模糊匹配"
|
||||
|
||||
@staticmethod
|
||||
def _url_tokens(url: str) -> List[str]:
|
||||
if not url:
|
||||
return []
|
||||
return [token for token in re.split(r"[/?&=_\-\.]+", url) if token]
|
||||
|
||||
@staticmethod
|
||||
def _dedupe(items: Iterable[str]) -> List[str]:
|
||||
seen = set()
|
||||
result = []
|
||||
for item in items:
|
||||
if item and item not in seen:
|
||||
seen.add(item)
|
||||
result.append(item)
|
||||
return result
|
||||
|
||||
@staticmethod
|
||||
def _all_text(functional_case: FunctionalCaseInput) -> str:
|
||||
texts = [functional_case.caseName, functional_case.moduleName, functional_case.preconditions]
|
||||
texts.extend(step.action for step in functional_case.steps)
|
||||
texts.extend(step.expectedResult for step in functional_case.steps if step.expectedResult)
|
||||
texts.extend(functional_case.expectedResults)
|
||||
return " \n ".join(filter(None, texts))
|
||||
|
||||
|
||||
class LLMApiCaseConverter:
|
||||
def convert(self, prompt: str, llm_client: Any = None) -> Optional[Dict[str, Any]]:
|
||||
if llm_client is None:
|
||||
return None
|
||||
|
||||
raw = self._invoke_client(llm_client, prompt)
|
||||
if raw is None:
|
||||
return None
|
||||
if isinstance(raw, dict):
|
||||
return raw
|
||||
if hasattr(raw, "content"):
|
||||
raw = raw.content
|
||||
elif hasattr(raw, "text"):
|
||||
raw = raw.text
|
||||
elif hasattr(raw, "data"):
|
||||
raw = raw.data
|
||||
if isinstance(raw, dict):
|
||||
return raw
|
||||
if not isinstance(raw, str):
|
||||
raw = str(raw)
|
||||
return self._extract_json(raw)
|
||||
|
||||
@staticmethod
|
||||
def _invoke_client(llm_client: Any, prompt: str) -> Any:
|
||||
if callable(llm_client):
|
||||
try:
|
||||
return llm_client(prompt=prompt)
|
||||
except TypeError:
|
||||
try:
|
||||
return llm_client(prompt)
|
||||
except TypeError:
|
||||
return llm_client({"prompt": prompt})
|
||||
if hasattr(llm_client, "generate") and callable(llm_client.generate):
|
||||
return llm_client.generate(prompt)
|
||||
if hasattr(llm_client, "chat") and callable(llm_client.chat):
|
||||
return llm_client.chat(prompt)
|
||||
raise TypeError("llm_client must be callable or expose generate/chat")
|
||||
|
||||
@staticmethod
|
||||
def _extract_json(text: str) -> Optional[Dict[str, Any]]:
|
||||
if not text:
|
||||
return None
|
||||
cleaned = text.strip()
|
||||
match = re.search(r"```json\s*(\{.*?\})\s*```", cleaned, flags=re.S)
|
||||
if match:
|
||||
cleaned = match.group(1)
|
||||
else:
|
||||
first = cleaned.find("{")
|
||||
last = cleaned.rfind("}")
|
||||
if first >= 0 and last > first:
|
||||
cleaned = cleaned[first : last + 1]
|
||||
try:
|
||||
parsed = json.loads(cleaned)
|
||||
return parsed if isinstance(parsed, dict) else {"data": parsed}
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
|
||||
class FunctionalCaseToApiAutomationService:
|
||||
def __init__(self, matcher: Optional[ApiMatcher] = None):
|
||||
self.matcher = matcher or ApiMatcher()
|
||||
self.llm_converter = LLMApiCaseConverter()
|
||||
|
||||
def convert(self, payload: Union[str, Dict[str, Any], FunctionalCaseInput], llm_client: Any = None) -> Dict[str, Any]:
|
||||
functional_case = FunctionalCaseParser.parse(payload)
|
||||
options = self._build_options(functional_case)
|
||||
candidates = functional_case.apiContext or []
|
||||
matched = self.matcher.match(functional_case, candidates, top_k=int(options.get("topK", 3))) if candidates else []
|
||||
|
||||
llm_result = None
|
||||
if options.get("useLLM", True) and llm_client is not None:
|
||||
prompt = self.build_prompt(functional_case, matched, options)
|
||||
llm_result = self.llm_converter.convert(prompt, llm_client)
|
||||
|
||||
if llm_result:
|
||||
return self._finalize_llm_result(functional_case, matched, llm_result, options)
|
||||
|
||||
return self._build_rule_result(functional_case, matched, options)
|
||||
|
||||
def build_prompt(self, functional_case: FunctionalCaseInput, matched: List[Dict[str, Any]], options: Dict[str, Any]) -> str:
|
||||
payload = {
|
||||
"functionalCase": asdict(functional_case),
|
||||
"matchedApis": [
|
||||
{
|
||||
"score": item["score"],
|
||||
"reason": item["reason"],
|
||||
"api": asdict(item["api"]),
|
||||
}
|
||||
for item in matched
|
||||
],
|
||||
"options": options,
|
||||
}
|
||||
return (
|
||||
"你是接口自动化测试用例生成专家。\n"
|
||||
"请把功能测试用例转换成接口自动化测试用例。\n"
|
||||
"要求:\n"
|
||||
"1. 只输出严格 JSON。\n"
|
||||
"2. 如果给了候选接口信息,优先使用候选接口。\n"
|
||||
"3. 无法确认的接口信息写入 missingInfo。\n"
|
||||
"4. 需要包含 method、url、headers、queryParams、body、assertions、performanceAssertions。\n"
|
||||
"5. 如果涉及性能要求,生成 responseTime 断言。\n"
|
||||
"6. 如果涉及登录态,使用 ${token}。\n\n"
|
||||
"输入数据:\n"
|
||||
f"{json.dumps(payload, ensure_ascii=False, indent=2)}\n\n"
|
||||
"输出 JSON 结构:\n"
|
||||
"{\n"
|
||||
' "caseId": "",\n'
|
||||
' "caseKey": "",\n'
|
||||
' "caseName": "",\n'
|
||||
' "automationType": "api",\n'
|
||||
' "convertStatus": "SUCCESS",\n'
|
||||
' "apiTestCases": [],\n'
|
||||
' "missingInfo": [],\n'
|
||||
' "warnings": []\n'
|
||||
"}"
|
||||
)
|
||||
|
||||
def _build_options(self, functional_case: FunctionalCaseInput) -> Dict[str, Any]:
|
||||
options = copy.deepcopy(functional_case.generateOptions or {})
|
||||
options.setdefault("useLLM", True)
|
||||
options.setdefault("outputFormat", "json")
|
||||
options.setdefault("targetFramework", "pytest")
|
||||
options.setdefault("allowMissingInfo", True)
|
||||
options.setdefault("topK", 3)
|
||||
return options
|
||||
|
||||
def _build_rule_result(self, functional_case: FunctionalCaseInput, matched: List[Dict[str, Any]], options: Dict[str, Any]) -> Dict[str, Any]:
|
||||
api_test_cases: List[Dict[str, Any]] = []
|
||||
missing_info: List[str] = []
|
||||
warnings: List[str] = []
|
||||
|
||||
if matched:
|
||||
for index, item in enumerate(matched, start=1):
|
||||
api_test_cases.append(self._build_api_test_case(functional_case, item["api"], index, item["score"], options))
|
||||
else:
|
||||
api_test_cases.append(self._build_fallback_test_case(functional_case, options))
|
||||
missing_info.extend(self._collect_missing_info(functional_case))
|
||||
warnings.append("未匹配到真实接口信息,已生成占位自动化用例")
|
||||
|
||||
missing_info = self._dedupe_text(missing_info)
|
||||
warnings = self._dedupe_text(warnings)
|
||||
|
||||
convert_status = "SUCCESS"
|
||||
if missing_info:
|
||||
convert_status = "SUCCESS_WITH_MISSING_INFO"
|
||||
if warnings and not matched:
|
||||
convert_status = "DRAFT"
|
||||
|
||||
return {
|
||||
"caseId": functional_case.caseId,
|
||||
"caseKey": functional_case.caseKey,
|
||||
"caseName": functional_case.caseName,
|
||||
"projectName": functional_case.projectName,
|
||||
"moduleName": functional_case.moduleName,
|
||||
"automationType": "api",
|
||||
"convertStatus": convert_status,
|
||||
"apiTestCases": api_test_cases,
|
||||
"missingInfo": missing_info,
|
||||
"warnings": warnings,
|
||||
}
|
||||
|
||||
def _finalize_llm_result(self, functional_case: FunctionalCaseInput, matched: List[Dict[str, Any]], llm_result: Dict[str, Any], options: Dict[str, Any]) -> Dict[str, Any]:
|
||||
result = copy.deepcopy(llm_result)
|
||||
result.setdefault("caseId", functional_case.caseId)
|
||||
result.setdefault("caseKey", functional_case.caseKey)
|
||||
result.setdefault("caseName", functional_case.caseName)
|
||||
result.setdefault("projectName", functional_case.projectName)
|
||||
result.setdefault("moduleName", functional_case.moduleName)
|
||||
result.setdefault("automationType", "api")
|
||||
result.setdefault("convertStatus", "SUCCESS")
|
||||
result.setdefault("apiTestCases", [])
|
||||
result.setdefault("missingInfo", [])
|
||||
result.setdefault("warnings", [])
|
||||
|
||||
if not result.get("apiTestCases"):
|
||||
rule_result = self._build_rule_result(functional_case, matched, options)
|
||||
result["apiTestCases"] = rule_result["apiTestCases"]
|
||||
if not result.get("missingInfo"):
|
||||
result["missingInfo"] = rule_result["missingInfo"]
|
||||
if not result.get("warnings"):
|
||||
result["warnings"] = rule_result["warnings"]
|
||||
result["convertStatus"] = rule_result["convertStatus"]
|
||||
|
||||
result["missingInfo"] = self._dedupe_text(result.get("missingInfo", []))
|
||||
result["warnings"] = self._dedupe_text(result.get("warnings", []))
|
||||
return result
|
||||
|
||||
def _build_api_test_case(self, functional_case: FunctionalCaseInput, api: ApiContextItem, index: int, score: float, options: Dict[str, Any]) -> Dict[str, Any]:
|
||||
method = (api.method or self.matcher.detect_intent(functional_case)).upper()
|
||||
query_params = copy.deepcopy(api.queryParams or {})
|
||||
body = copy.deepcopy(api.requestBody)
|
||||
headers = copy.deepcopy(api.headers or {})
|
||||
if not headers:
|
||||
headers = {"Content-Type": "application/json"}
|
||||
if not any(key.lower() == "authorization" for key in headers):
|
||||
headers["Authorization"] = "Bearer ${token}"
|
||||
|
||||
variables = self._build_variables(functional_case, api, query_params, body)
|
||||
query_params = self._fill_placeholders(query_params, variables)
|
||||
body = self._fill_placeholders(body, variables)
|
||||
|
||||
assertions = self._build_assertions(functional_case, api, method)
|
||||
performance_assertions = self._build_performance_assertions(functional_case)
|
||||
step_name = api.apiName or functional_case.caseName or "接口自动化步骤"
|
||||
|
||||
return {
|
||||
"stepNo": index,
|
||||
"name": step_name,
|
||||
"apiName": api.apiName or step_name,
|
||||
"method": method,
|
||||
"url": api.url or self._infer_placeholder_url(functional_case),
|
||||
"headers": headers,
|
||||
"queryParams": query_params,
|
||||
"body": body,
|
||||
"extractVariables": [],
|
||||
"assertions": assertions,
|
||||
"performanceAssertions": performance_assertions,
|
||||
"variables": variables,
|
||||
"matchedApi": {
|
||||
"apiName": api.apiName,
|
||||
"method": method,
|
||||
"url": api.url,
|
||||
"matchScore": round(score, 4),
|
||||
},
|
||||
}
|
||||
|
||||
def _build_fallback_test_case(self, functional_case: FunctionalCaseInput, options: Dict[str, Any]) -> Dict[str, Any]:
|
||||
method = self.matcher.detect_intent(functional_case)
|
||||
url = self._infer_placeholder_url(functional_case)
|
||||
variables = self._build_variables(functional_case, None, {}, None)
|
||||
return {
|
||||
"stepNo": 1,
|
||||
"name": functional_case.caseName or "功能用例转接口自动化",
|
||||
"apiName": functional_case.caseName or "待确认接口",
|
||||
"method": method,
|
||||
"url": url,
|
||||
"headers": {
|
||||
"Content-Type": "application/json",
|
||||
"Authorization": "Bearer ${token}",
|
||||
},
|
||||
"queryParams": {},
|
||||
"body": None,
|
||||
"extractVariables": [],
|
||||
"assertions": self._build_assertions(functional_case, None, method),
|
||||
"performanceAssertions": self._build_performance_assertions(functional_case),
|
||||
"variables": variables,
|
||||
"matchedApi": {
|
||||
"apiName": "",
|
||||
"method": method,
|
||||
"url": url,
|
||||
"matchScore": 0,
|
||||
},
|
||||
}
|
||||
|
||||
def _build_variables(self, functional_case: FunctionalCaseInput, api: Optional[ApiContextItem], query_params: Dict[str, Any], body: Any) -> Dict[str, Any]:
|
||||
variables: Dict[str, Any] = {}
|
||||
text = self.matcher._all_text(functional_case)
|
||||
for keyword in self.matcher.extract_keywords(functional_case):
|
||||
if keyword in ("搜索", "查询", "列表", "筛选", "关键字", "模糊搜索"):
|
||||
variables.setdefault("keyword", "测试")
|
||||
if keyword in ("分页", "分页查询"):
|
||||
variables.setdefault("page", 1)
|
||||
variables.setdefault("limit", DEFAULT_PAGE_SIZE)
|
||||
if keyword in ("登录",):
|
||||
variables.setdefault("token", "${token}")
|
||||
if not variables and text:
|
||||
variables["keyword"] = "测试"
|
||||
if query_params:
|
||||
for key in query_params.keys():
|
||||
if key not in variables and any(token in key.lower() for token in ["keyword", "name", "id", "page", "limit", "status", "type"]):
|
||||
variables[key] = query_params[key]
|
||||
if isinstance(body, dict):
|
||||
for key in body.keys():
|
||||
if key not in variables and any(token in key.lower() for token in ["keyword", "name", "id", "page", "limit", "status", "type"]):
|
||||
variables[key] = body[key]
|
||||
return variables
|
||||
|
||||
def _build_assertions(self, functional_case: FunctionalCaseInput, api: Optional[ApiContextItem], method: str) -> List[Dict[str, Any]]:
|
||||
assertions = [
|
||||
{
|
||||
"type": "statusCode",
|
||||
"actual": "$.code" if api or method != "DELETE" else "$.status",
|
||||
"operator": "==",
|
||||
"expected": 200,
|
||||
}
|
||||
]
|
||||
text = self.matcher._all_text(functional_case)
|
||||
if api and isinstance(api.responseExample, dict):
|
||||
example = api.responseExample
|
||||
if "code" in example:
|
||||
assertions.append(
|
||||
{
|
||||
"type": "jsonPath",
|
||||
"actual": "$.code",
|
||||
"operator": "==",
|
||||
"expected": example.get("code", 0),
|
||||
}
|
||||
)
|
||||
if "msg" in example:
|
||||
assertions.append(
|
||||
{
|
||||
"type": "jsonPath",
|
||||
"actual": "$.msg",
|
||||
"operator": "notEmpty",
|
||||
"expected": True,
|
||||
}
|
||||
)
|
||||
|
||||
if any(keyword in text for keyword in ["搜索", "查询", "列表", "筛选", "返回"]):
|
||||
assertions.append(
|
||||
{
|
||||
"type": "jsonPath",
|
||||
"actual": "$.data",
|
||||
"operator": "notEmpty",
|
||||
"expected": True,
|
||||
}
|
||||
)
|
||||
return assertions
|
||||
|
||||
def _build_performance_assertions(self, functional_case: FunctionalCaseInput) -> List[Dict[str, Any]]:
|
||||
text = self.matcher._all_text(functional_case)
|
||||
expected_ms = self._extract_response_time_ms(text)
|
||||
if expected_ms is None:
|
||||
return []
|
||||
return [
|
||||
{
|
||||
"type": "responseTime",
|
||||
"operator": "<=",
|
||||
"expected": expected_ms,
|
||||
"unit": "ms",
|
||||
}
|
||||
]
|
||||
|
||||
def _collect_missing_info(self, functional_case: FunctionalCaseInput) -> List[str]:
|
||||
missing = []
|
||||
if not functional_case.steps:
|
||||
missing.append("缺少步骤信息")
|
||||
if not functional_case.caseName:
|
||||
missing.append("缺少用例名称")
|
||||
if not functional_case.apiContext:
|
||||
missing.append("未传入真实接口信息,已使用占位接口生成")
|
||||
if self._extract_response_time_ms(self.matcher._all_text(functional_case)) is None and any(k in self.matcher._all_text(functional_case) for k in ["性能", "响应时间", "超时"]):
|
||||
missing.append("性能阈值未明确,默认使用 1000ms")
|
||||
return missing
|
||||
|
||||
@staticmethod
|
||||
def _extract_response_time_ms(text: str) -> Optional[int]:
|
||||
if not text:
|
||||
return None
|
||||
patterns = [
|
||||
r"(\d+)\s*毫秒",
|
||||
r"(\d+)\s*ms",
|
||||
r"(\d+)\s*秒",
|
||||
r"不超过\s*(\d+)\s*秒",
|
||||
r"<=\s*(\d+)\s*秒",
|
||||
r"小于等于\s*(\d+)\s*秒",
|
||||
]
|
||||
for pattern in patterns:
|
||||
match = re.search(pattern, text, flags=re.I)
|
||||
if match:
|
||||
value = int(match.group(1))
|
||||
if "秒" in pattern:
|
||||
return value * 1000
|
||||
return value
|
||||
if any(keyword in text for keyword in ["响应时间", "超时", "性能"]):
|
||||
return DEFAULT_RESPONSE_TIME_MS
|
||||
return None
|
||||
|
||||
@staticmethod
|
||||
def _infer_placeholder_url(functional_case: FunctionalCaseInput) -> str:
|
||||
text = " ".join([functional_case.caseName, functional_case.moduleName] + [step.action for step in functional_case.steps])
|
||||
if any(keyword in text for keyword in ["登录"]):
|
||||
return "/api/login"
|
||||
if any(keyword in text for keyword in ["搜索", "查询", "列表", "筛选"]):
|
||||
return "/api/list/query"
|
||||
if any(keyword in text for keyword in ["新增", "创建", "添加"]):
|
||||
return "/api/create"
|
||||
if any(keyword in text for keyword in ["修改", "编辑", "更新"]):
|
||||
return "/api/update"
|
||||
if any(keyword in text for keyword in ["删除", "移除"]):
|
||||
return "/api/delete"
|
||||
return DEFAULT_PLACEHOLDER_URL
|
||||
|
||||
@staticmethod
|
||||
def _fill_placeholders(value: Any, variables: Dict[str, Any]) -> Any:
|
||||
if isinstance(value, dict):
|
||||
return {key: FunctionalCaseToApiAutomationService._fill_placeholders(item, variables) for key, item in value.items()}
|
||||
if isinstance(value, list):
|
||||
return [FunctionalCaseToApiAutomationService._fill_placeholders(item, variables) for item in value]
|
||||
if isinstance(value, str):
|
||||
result = value
|
||||
for key, variable in variables.items():
|
||||
result = result.replace("${" + key + "}", str(variable))
|
||||
return result
|
||||
return value
|
||||
|
||||
@staticmethod
|
||||
def _dedupe_text(items: Iterable[str]) -> List[str]:
|
||||
seen = set()
|
||||
result = []
|
||||
for item in items:
|
||||
text = str(item).strip()
|
||||
if not text or text in seen:
|
||||
continue
|
||||
seen.add(text)
|
||||
result.append(text)
|
||||
return result
|
||||
|
||||
|
||||
def convert_functional_case(payload: Union[str, Dict[str, Any], FunctionalCaseInput], llm_client: Any = None) -> Dict[str, Any]:
|
||||
return FunctionalCaseToApiAutomationService().convert(payload, llm_client=llm_client)
|
||||
|
||||
|
||||
def load_payload_from_file(file_path: str) -> Dict[str, Any]:
|
||||
with open(file_path, "r", encoding="utf-8") as file:
|
||||
return json.load(file)
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="功能测试用例转接口自动化用例")
|
||||
parser.add_argument("--input", type=str, help="输入JSON文件路径,未指定则从stdin读取")
|
||||
parser.add_argument("--output", type=str, help="输出JSON文件路径,未指定则打印到stdout")
|
||||
args = parser.parse_args()
|
||||
|
||||
if args.input:
|
||||
payload = load_payload_from_file(args.input)
|
||||
else:
|
||||
payload = json.load(os.sys.stdin)
|
||||
|
||||
result = convert_functional_case(payload)
|
||||
|
||||
output = json.dumps(result, ensure_ascii=False, indent=2)
|
||||
if args.output:
|
||||
with open(args.output, "w", encoding="utf-8") as file:
|
||||
file.write(output)
|
||||
else:
|
||||
print(output)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
189
joyhub_backend/library/hubops_parser.py
Normal file
189
joyhub_backend/library/hubops_parser.py
Normal file
@@ -0,0 +1,189 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
import ast
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
|
||||
|
||||
PROJECT_ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", ".."))
|
||||
DEFAULT_HUBOPS_PATH = os.path.join(PROJECT_ROOT, "HubOps.md")
|
||||
|
||||
|
||||
class HubOpsParser(object):
|
||||
def __init__(self, file_path=None):
|
||||
self.file_path = file_path or os.getenv("JOYHUB_DOC_PATH", DEFAULT_HUBOPS_PATH)
|
||||
|
||||
def parse(self):
|
||||
with open(self.file_path, "r", encoding="utf-8") as file:
|
||||
lines = file.read().splitlines()
|
||||
|
||||
cases = []
|
||||
headings = []
|
||||
for index, line in enumerate(lines):
|
||||
heading = self._parse_heading(line)
|
||||
if heading:
|
||||
level, title = heading
|
||||
headings = [item for item in headings if item[0] < level]
|
||||
headings.append((level, title))
|
||||
continue
|
||||
|
||||
if line.strip() != "**接口URL**":
|
||||
continue
|
||||
|
||||
case = self._parse_case(lines, index, headings)
|
||||
if case.get("url"):
|
||||
case["case_id"] = "joyhub_{:04d}".format(len(cases) + 1)
|
||||
cases.append(case)
|
||||
return cases
|
||||
|
||||
def _parse_case(self, lines, url_index, headings):
|
||||
title = self._case_title(headings, url_index)
|
||||
url = self._next_quote_value(lines, url_index)
|
||||
method = self._find_section_quote(lines, url_index, "**请求方式**") or "POST"
|
||||
content_type = self._find_section_quote(lines, url_index, "**Content-Type**") or "json"
|
||||
body_text = self._find_code_block(lines, url_index, "**请求Body参数**")
|
||||
query = self._find_param_table(lines, url_index, "**请求Query参数**")
|
||||
headers = self._find_headers(lines, url_index)
|
||||
body = self._parse_body(body_text)
|
||||
return {
|
||||
"name": title,
|
||||
"method": method.upper(),
|
||||
"url": url,
|
||||
"content_type": content_type,
|
||||
"headers": headers,
|
||||
"query": query,
|
||||
"body": body,
|
||||
"raw_body": body_text,
|
||||
}
|
||||
|
||||
@staticmethod
|
||||
def _parse_heading(line):
|
||||
match = re.match(r"^(#{2,6})\s+(.+?)\s*$", line)
|
||||
if not match:
|
||||
return None
|
||||
return len(match.group(1)), match.group(2).strip()
|
||||
|
||||
@staticmethod
|
||||
def _case_title(headings, url_index):
|
||||
if headings:
|
||||
return " / ".join(title for _, title in headings[-3:])
|
||||
return "HubOps接口{}".format(url_index + 1)
|
||||
|
||||
@staticmethod
|
||||
def _next_quote_value(lines, start):
|
||||
for index in range(start + 1, min(start + 8, len(lines))):
|
||||
line = lines[index].strip()
|
||||
if line.startswith(">"):
|
||||
value = line[1:].strip()
|
||||
if value and value != "暂无参数":
|
||||
return value
|
||||
return ""
|
||||
|
||||
@staticmethod
|
||||
def _section_end(lines, start):
|
||||
for index in range(start + 1, len(lines)):
|
||||
line = lines[index].strip()
|
||||
if line.startswith("## ") or line.startswith("### ") or line == "**接口URL**":
|
||||
return index
|
||||
return len(lines)
|
||||
|
||||
def _find_section_quote(self, lines, url_index, section_name):
|
||||
start = max(0, url_index - 80)
|
||||
end = self._section_end(lines, url_index)
|
||||
for index in range(start, min(end, len(lines))):
|
||||
if lines[index].strip() == section_name:
|
||||
return self._next_quote_value(lines, index)
|
||||
return None
|
||||
|
||||
def _find_code_block(self, lines, url_index, section_name):
|
||||
end = self._section_end(lines, url_index)
|
||||
for index in range(url_index, end):
|
||||
if lines[index].strip() != section_name:
|
||||
continue
|
||||
for code_start in range(index + 1, end):
|
||||
if lines[code_start].strip().startswith("```"):
|
||||
block = []
|
||||
for code_end in range(code_start + 1, end):
|
||||
if lines[code_end].strip().startswith("```"):
|
||||
return "\n".join(block).strip()
|
||||
block.append(lines[code_end])
|
||||
return ""
|
||||
|
||||
def _find_param_table(self, lines, url_index, section_name):
|
||||
end = self._section_end(lines, url_index)
|
||||
for index in range(url_index, end):
|
||||
if lines[index].strip() != section_name:
|
||||
continue
|
||||
params = {}
|
||||
for row_index in range(index + 1, end):
|
||||
row = lines[row_index].strip()
|
||||
if not row.startswith("|"):
|
||||
if params:
|
||||
break
|
||||
continue
|
||||
if "---" in row or "参数名" in row or "暂无参数" in row:
|
||||
continue
|
||||
columns = [column.strip() for column in row.strip("|").split("|")]
|
||||
if len(columns) >= 2 and columns[0]:
|
||||
params[columns[0]] = self._coerce_value(columns[1])
|
||||
return params
|
||||
return {}
|
||||
|
||||
def _find_headers(self, lines, url_index):
|
||||
headers = {}
|
||||
end = self._section_end(lines, url_index)
|
||||
for index in range(url_index, end):
|
||||
if lines[index].strip() != "**请求Header参数**":
|
||||
continue
|
||||
table_started = False
|
||||
for row_index in range(index + 1, end):
|
||||
row = lines[row_index].strip()
|
||||
if row.startswith("**") or row.startswith("#") or row.startswith("*"):
|
||||
break
|
||||
if not row.startswith("|"):
|
||||
if table_started:
|
||||
break
|
||||
continue
|
||||
table_started = True
|
||||
if "---" in row or "参数名" in row or "暂无参数" in row:
|
||||
continue
|
||||
columns = [column.strip() for column in row.strip("|").split("|")]
|
||||
if len(columns) >= 2 and columns[0] and columns[0] != "Authorization":
|
||||
headers[columns[0]] = columns[1]
|
||||
return headers
|
||||
return headers
|
||||
|
||||
@classmethod
|
||||
def _parse_body(cls, body_text):
|
||||
if not body_text or body_text == "暂无数据":
|
||||
return {}
|
||||
text = cls._clean_body(body_text)
|
||||
for loader in (json.loads, ast.literal_eval):
|
||||
try:
|
||||
value = loader(text)
|
||||
return value if isinstance(value, (dict, list)) else {}
|
||||
except Exception:
|
||||
pass
|
||||
return {}
|
||||
|
||||
@staticmethod
|
||||
def _clean_body(text):
|
||||
text = re.sub(r"//.*", "", text)
|
||||
text = re.sub(r"/\*.*?\*/", "", text, flags=re.S)
|
||||
text = text.replace("{{token}}", "")
|
||||
text = re.sub(r",\s*([}\]])", r"\1", text)
|
||||
return text.strip()
|
||||
|
||||
@staticmethod
|
||||
def _coerce_value(value):
|
||||
if value in ("-", "暂无参数", ""):
|
||||
return ""
|
||||
if value.isdigit():
|
||||
return int(value)
|
||||
if value.lower() in ("true", "false"):
|
||||
return value.lower() == "true"
|
||||
return value
|
||||
|
||||
|
||||
def load_hubops_cases():
|
||||
return HubOpsParser().parse()
|
||||
131
joyhub_backend/library/joyhub_interface.py
Normal file
131
joyhub_backend/library/joyhub_interface.py
Normal file
@@ -0,0 +1,131 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
import json
|
||||
import logging
|
||||
import os
|
||||
from urllib.parse import urljoin
|
||||
|
||||
import allure
|
||||
import requests
|
||||
|
||||
from joyhub_backend.library.auth import JoyhubAuth, TIMEOUT
|
||||
|
||||
|
||||
MANAGER_BASE_URL = os.getenv(
|
||||
"JOYHUB_MANAGER_BASE_URL",
|
||||
"http://test-manager-api.best-envision.com",
|
||||
)
|
||||
|
||||
|
||||
class JoyhubInterface(object):
|
||||
def __init__(self):
|
||||
self.auth = JoyhubAuth()
|
||||
self.session = requests.Session()
|
||||
self.base_url = MANAGER_BASE_URL.rstrip("/") + "/"
|
||||
|
||||
def request(self, case_name, method, path, body=None, query=None, headers=None, expected_code=0):
|
||||
url = path if path.startswith("http") else urljoin(self.base_url, path.lstrip("/"))
|
||||
request_headers = self.auth.auth_headers()
|
||||
if headers:
|
||||
request_headers.update({key: value for key, value in headers.items() if key.lower() != "authorization"})
|
||||
|
||||
with allure.step("操作步骤:{}".format(case_name)):
|
||||
self._attach_request(url, method, request_headers, body, query)
|
||||
logging.info("case: %s", case_name)
|
||||
logging.info("request url: %s", url)
|
||||
logging.info("request method: %s", method)
|
||||
logging.info("request headers: %s", request_headers)
|
||||
logging.info("request body: %s", body)
|
||||
logging.info("request query: %s", query)
|
||||
|
||||
request_kwargs = {
|
||||
"method": method,
|
||||
"url": url,
|
||||
"params": query,
|
||||
"headers": request_headers,
|
||||
"timeout": TIMEOUT,
|
||||
}
|
||||
if method.upper() in ("POST", "PUT", "PATCH"):
|
||||
request_kwargs["json"] = body
|
||||
elif body:
|
||||
request_kwargs["params"] = dict(query or {}, **body) if isinstance(body, dict) else query
|
||||
response = self.session.request(**request_kwargs)
|
||||
self._attach_response(response)
|
||||
self._attach_log(case_name, url, method, request_headers, body, query, response)
|
||||
logging.info("response status: %s", response.status_code)
|
||||
logging.info("response body: %s", response.text)
|
||||
|
||||
is_business_api = self._is_business_api(url)
|
||||
assertion_text = "HTTP状态码为200,且业务code为{}".format(expected_code) if is_business_api else "HTTP状态码为2xx,兼容非JSON/SSE响应"
|
||||
allure.attach(assertion_text, "断言内容", allure.attachment_type.TEXT)
|
||||
with allure.step("断言内容:{}".format(assertion_text)):
|
||||
try:
|
||||
if is_business_api:
|
||||
assert response.status_code == 200, "HTTP状态码期望200,实际{},响应{}".format(
|
||||
response.status_code, response.text
|
||||
)
|
||||
data = self._safe_json(response)
|
||||
assert isinstance(data, dict), "业务接口响应不是JSON对象,响应{}".format(response.text)
|
||||
assert "code" in data, "响应缺少 code 字段,响应{}".format(data)
|
||||
assert data.get("code") == expected_code, "业务code期望{},实际{},msg={},响应{}".format(
|
||||
expected_code, data.get("code"), data.get("msg"), data
|
||||
)
|
||||
else:
|
||||
assert 200 <= response.status_code < 300, "HTTP状态码期望2xx,实际{},响应{}".format(
|
||||
response.status_code, response.text
|
||||
)
|
||||
data = self._non_json_result(response)
|
||||
allure.attach("无", "断言失败原因", allure.attachment_type.TEXT)
|
||||
return data
|
||||
except AssertionError as error:
|
||||
allure.attach(str(error), "断言失败原因", allure.attachment_type.TEXT)
|
||||
raise AssertionError("断言失败原因:{}".format(error))
|
||||
|
||||
@staticmethod
|
||||
def _attach_request(url, method, headers, body, query):
|
||||
allure.attach(str(url), "请求url", allure.attachment_type.TEXT)
|
||||
allure.attach(str(method), "请求方式", allure.attachment_type.TEXT)
|
||||
allure.attach(json.dumps(headers, ensure_ascii=False, indent=2), "请求头", allure.attachment_type.JSON)
|
||||
allure.attach(json.dumps(query or {}, ensure_ascii=False, indent=2), "请求query", allure.attachment_type.JSON)
|
||||
allure.attach(json.dumps(body or {}, ensure_ascii=False, indent=2), "请求体", allure.attachment_type.JSON)
|
||||
|
||||
@staticmethod
|
||||
def _attach_response(response):
|
||||
allure.attach(str(response.status_code), "响应状态码", allure.attachment_type.TEXT)
|
||||
content_type = response.headers.get("Content-Type", "")
|
||||
attachment_type = allure.attachment_type.JSON if "json" in content_type.lower() else allure.attachment_type.TEXT
|
||||
allure.attach(response.text, "响应体/日志", attachment_type)
|
||||
|
||||
def _is_business_api(self, url):
|
||||
return url.startswith(self.base_url)
|
||||
|
||||
@staticmethod
|
||||
def _safe_json(response):
|
||||
if not response.text.strip():
|
||||
return None
|
||||
return response.json()
|
||||
|
||||
@staticmethod
|
||||
def _non_json_result(response):
|
||||
try:
|
||||
data = response.json()
|
||||
except ValueError:
|
||||
data = {
|
||||
"status_code": response.status_code,
|
||||
"content_type": response.headers.get("Content-Type", ""),
|
||||
"text": response.text,
|
||||
}
|
||||
return data
|
||||
|
||||
@staticmethod
|
||||
def _attach_log(case_name, url, method, headers, body, query, response):
|
||||
log_text = "\n".join([
|
||||
"case: {}".format(case_name),
|
||||
"request url: {}".format(url),
|
||||
"request method: {}".format(method),
|
||||
"request headers: {}".format(headers),
|
||||
"request query: {}".format(query or {}),
|
||||
"request body: {}".format(body or {}),
|
||||
"response status: {}".format(response.status_code),
|
||||
"response body: {}".format(response.text),
|
||||
])
|
||||
allure.attach(log_text, "日志", allure.attachment_type.TEXT)
|
||||
0
joyhub_backend/test_case/__init__.py
Normal file
0
joyhub_backend/test_case/__init__.py
Normal file
170
joyhub_backend/test_case/run_tests.py
Normal file
170
joyhub_backend/test_case/run_tests.py
Normal file
@@ -0,0 +1,170 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
import argparse
|
||||
import os
|
||||
import shutil
|
||||
import subprocess
|
||||
import sys
|
||||
|
||||
current_file_path = os.path.abspath(__file__)
|
||||
project_root = os.path.abspath(os.path.join(os.path.dirname(current_file_path), '../../'))
|
||||
if project_root not in sys.path:
|
||||
sys.path.insert(0, project_root)
|
||||
|
||||
TEST_CASE_DIR = 'joyhub_backend/test_case/TestCase'
|
||||
case_dir = os.path.join(project_root, TEST_CASE_DIR)
|
||||
ALLURE_RESULTS_DIR = os.path.join(project_root, 'joyhub_backend', 'test_case', 'reports', 'allure-results')
|
||||
ALLURE_REPORT_DIR = os.path.join(project_root, 'joyhub_backend', 'test_case', 'reports', 'allure-report')
|
||||
|
||||
|
||||
def ensure_dirs():
|
||||
os.makedirs(ALLURE_RESULTS_DIR, exist_ok=True)
|
||||
os.makedirs(ALLURE_REPORT_DIR, exist_ok=True)
|
||||
|
||||
|
||||
def clean_allure_results():
|
||||
if os.path.exists(ALLURE_RESULTS_DIR):
|
||||
shutil.rmtree(ALLURE_RESULTS_DIR)
|
||||
os.makedirs(ALLURE_RESULTS_DIR, exist_ok=True)
|
||||
|
||||
|
||||
def find_test_files(directory):
|
||||
test_files = []
|
||||
for root, dirs, files in os.walk(directory):
|
||||
for file in files:
|
||||
if file.endswith('.py') and not file.startswith('__') and file != 'conftest.py':
|
||||
test_files.append(os.path.join(root, file))
|
||||
return test_files
|
||||
|
||||
|
||||
def run_pytest(args_list):
|
||||
env = os.environ.copy()
|
||||
env['PYTHONPATH'] = project_root + (os.pathsep + env['PYTHONPATH'] if 'PYTHONPATH' in env else '')
|
||||
cmd = ['python', '-m', 'pytest'] + args_list
|
||||
print("开始执行pytest...")
|
||||
print("执行命令: {}".format(' '.join('"{}"'.format(item) if ' ' in item else item for item in cmd)), flush=True)
|
||||
result = subprocess.run(cmd, cwd=project_root, env=env)
|
||||
print("pytest执行结束,退出码: {}".format(result.returncode), flush=True)
|
||||
return result.returncode
|
||||
|
||||
|
||||
def run_tests(target=None, test_type='all'):
|
||||
base_args = ['-v', '--tb=short', '--alluredir={}'.format(ALLURE_RESULTS_DIR)]
|
||||
if test_type == 'all':
|
||||
print("运行所有测试用例...")
|
||||
test_files = find_test_files(case_dir)
|
||||
if not test_files:
|
||||
print("错误: 未找到测试文件")
|
||||
return 1
|
||||
args = test_files + base_args
|
||||
elif test_type == 'dir':
|
||||
full_path = os.path.join(case_dir, target.replace('/', os.sep).replace('\\', os.sep))
|
||||
if not os.path.exists(full_path):
|
||||
print("错误: 目录不存在: {}".format(full_path))
|
||||
return 1
|
||||
print("按目录运行: {}".format(target))
|
||||
test_files = find_test_files(full_path)
|
||||
if not test_files:
|
||||
print("错误: 未找到测试文件")
|
||||
return 1
|
||||
args = test_files + base_args
|
||||
elif test_type == 'file':
|
||||
full_path = os.path.join(case_dir, target.replace('/', os.sep).replace('\\', os.sep))
|
||||
if not os.path.exists(full_path):
|
||||
print("错误: 文件不存在: {}".format(full_path))
|
||||
return 1
|
||||
print("按文件运行: {}".format(target))
|
||||
args = [full_path] + base_args
|
||||
elif test_type == 'keyword':
|
||||
print("按关键字运行: {}".format(target))
|
||||
test_files = find_test_files(case_dir)
|
||||
args = test_files + ['-k={}'.format(target)] + base_args
|
||||
elif test_type == 'marker':
|
||||
print("按pytest标记运行: {}".format(target))
|
||||
test_files = find_test_files(case_dir)
|
||||
args = test_files + ['-m={}'.format(target)] + base_args
|
||||
elif test_type == 'feature':
|
||||
print("按Allure feature运行: {}".format(target))
|
||||
test_files = find_test_files(case_dir)
|
||||
args = test_files + ['--allure-features={}'.format(target)] + base_args
|
||||
elif test_type == 'story':
|
||||
print("按Allure story运行: {}".format(target))
|
||||
test_files = find_test_files(case_dir)
|
||||
args = test_files + ['--allure-stories={}'.format(target)] + base_args
|
||||
else:
|
||||
print("错误: 未知的测试类型: {}".format(test_type))
|
||||
return 1
|
||||
return run_pytest(args)
|
||||
|
||||
|
||||
def generate_allure_report():
|
||||
print("开始生成Allure报告...", flush=True)
|
||||
if os.path.exists(ALLURE_REPORT_DIR):
|
||||
shutil.rmtree(ALLURE_REPORT_DIR)
|
||||
cmd = 'allure generate "{}" --output "{}"'.format(ALLURE_RESULTS_DIR, ALLURE_REPORT_DIR)
|
||||
print("执行命令: {}".format(cmd), flush=True)
|
||||
try:
|
||||
subprocess.run(cmd, check=True, shell=True)
|
||||
print("Allure报告生成成功: {}".format(ALLURE_REPORT_DIR))
|
||||
print("打开报告命令: allure open \"{}\"".format(ALLURE_REPORT_DIR))
|
||||
return 0
|
||||
except (subprocess.CalledProcessError, FileNotFoundError, OSError) as error:
|
||||
print("生成Allure报告失败: {}".format(error))
|
||||
print("手动执行: {}".format(cmd))
|
||||
return 1
|
||||
|
||||
|
||||
def open_allure_report():
|
||||
cmd = 'allure open "{}"'.format(ALLURE_REPORT_DIR)
|
||||
try:
|
||||
subprocess.Popen(cmd, shell=True)
|
||||
print("Allure报告已打开: {}".format(ALLURE_REPORT_DIR))
|
||||
return 0
|
||||
except (FileNotFoundError, OSError) as error:
|
||||
print("打开Allure报告失败: {}".format(error))
|
||||
return 1
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description='JoyHub Backend 接口自动化测试执行工具')
|
||||
run_group = parser.add_mutually_exclusive_group(required=False)
|
||||
run_group.add_argument('--feature', type=str, help='按Allure feature运行')
|
||||
run_group.add_argument('--story', type=str, help='按Allure story运行')
|
||||
run_group.add_argument('--dir', type=str, help='按目录运行(相对于TestCase目录)')
|
||||
run_group.add_argument('--file', type=str, help='按文件运行(相对于TestCase目录)')
|
||||
run_group.add_argument('--keyword', type=str, help='按关键字运行')
|
||||
run_group.add_argument('--marker', type=str, help='按pytest标记运行')
|
||||
parser.add_argument('--report', action='store_true', help='生成Allure报告')
|
||||
parser.add_argument('--open', action='store_true', help='打开Allure报告')
|
||||
parser.add_argument('--no-report', action='store_true', help='不生成Allure报告')
|
||||
args = parser.parse_args()
|
||||
|
||||
ensure_dirs()
|
||||
clean_allure_results()
|
||||
if args.feature:
|
||||
exit_code = run_tests(args.feature, 'feature')
|
||||
elif args.story:
|
||||
exit_code = run_tests(args.story, 'story')
|
||||
elif args.dir:
|
||||
exit_code = run_tests(args.dir, 'dir')
|
||||
elif args.file:
|
||||
exit_code = run_tests(args.file, 'file')
|
||||
elif args.keyword:
|
||||
exit_code = run_tests(args.keyword, 'keyword')
|
||||
elif args.marker:
|
||||
exit_code = run_tests(args.marker, 'marker')
|
||||
else:
|
||||
exit_code = run_tests()
|
||||
|
||||
if args.report or not args.no_report:
|
||||
generate_allure_report()
|
||||
if args.open:
|
||||
open_allure_report()
|
||||
|
||||
print("=" * 80)
|
||||
print("测试执行完成" if exit_code == 0 else "测试执行失败,退出码: {}".format(exit_code))
|
||||
print("=" * 80)
|
||||
sys.exit(exit_code)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
Reference in New Issue
Block a user