SteamedBread 0.1.9.5

馒头的第三方库

✅ quote 毒鸡汤语录

from SteamedBread import QuoteFormat

quote = QuoteFormat.random_quote()
print(quote)

✅ selenium WAP 自动化示例

from SteamedBread import Browser

driver = Browser(headless=False, wap=True, width=476, height=776)
driver.get("https://www.example.com")
driver.find_element("id", "id_v1").send_keys("馒头")
driver.close()

✅ 原始mysql工具类示例

from SteamedBread import MySQL

with MySQL() as db:
    print(db.query())

✅ 自定义级别日志示例

from SteamedBread import logger

logger.step(msg="这是自定义级别的日志")
# 上述将输出以下内容: 
# 2024-10-09 22:27:34,510 | tmp.py | 8 | STEP | 这是自定义级别的日志 

0.1.8.1: 摒弃OCR功能, 自行下载ddddocr三方库使用

0.1.7.8: 依赖太重, 不再更新大文件的OCR

✅ playwright 自动化示例

from SteamedBread import playwright, Locator
from playwright.sync_api import sync_playwright


class PypiPage(playwright.Page):
    pypi_url = "https://pypi.org/"
    search_input = Locator(selector="[id='search']", describe="搜索框")
    search_btn = Locator(selector="form > button", describe="搜索按钮")


with sync_playwright().start().chromium.launch(headless=False) as browser:
    driver = browser.new_page()
    page = PypiPage(page=driver)
    page.goto(page.pypi_url)
    page.search_input.send_keywords(value="SteamedBread")
    # page.search_input.send_keywords(value="SteamedBread", enter=True)
    # page.search_input.send_keyboards(key="Enter")
    page.search_btn.click()
    # page.sleep()
    # page.screenshot()
    # page.close()

✅ 提供指定元素组件 截图功能 + UI自动化识别动态验证码功能

from SteamedBread import Browser
from SteamedBread import Element
from SteamedBread import OcrFormat
from SteamedBread import Page
from SteamedBread import case_title
from SteamedBread import case_step


class QuotePage(Page):
    """
    古诗词网站 登录页面元素
    """
    example_url = "https://so.gushiwen.cn/user/login.aspx"
    img_code = Element(id_="imgCode", describe="动态验证码")


@case_title(title="识别动态验证码")
def test_ocr_dynamic_code():
    with case_step("进入古诗词网站"):
        driver = Browser()
        page = QuotePage(driver=driver)
        page.open(page.example_url)

    with case_step("截图 指定的组件"):
        img_name = "img_code.png"
        page.img_code.screenshots(filename=img_name)

    with case_step("ocr 识别 截图中的验证码"):
        code = OcrFormat.ocr_word(filename=img_name)  # 若不可用, 手动去下载ddddocr库 替换该方法
        print(f"code: {code}")

✅ 提供priority 优先级装饰器

from SteamedBread import case_priority


@case_priority(order=2)
def test_01():
    pass


@case_priority(order=1)
def test_02():
    pass

✅ 新增http请求 日志打印开关

from SteamedBread import get

get("https://www.baidu.com", show=False)

✅ UI驱动工具 - 提供持久态可复用的浏览器窗口

from SteamedBread import Browser
from SteamedBread import Element
from SteamedBread import Page


class BaiDuPage(Page):
    example_url = "https://baidu.com"
    input_search = Element(id_="kw")


def test_chrome_browser():
    # browser_type 可以指定浏览器类型, 若不指定 默认就是Chrome
    driver = Browser(browser_type="chrome")
    page = BaiDuPage(driver=driver)
    page.open(page.example_url)
    page.input_search.send_keys("321")

✅ 全局配置工具 - 支持读写ini类型文件、初始化运行环境

from SteamedBread import set_env_by_file, SetEnvironment, set_env

set_env_by_file(env_path="conf.ini")
# 或者
SetEnvironment(env_path="conf.ini")
# 或者
set_env(env="test")

✅ 装饰器 - 数据驱动装饰、用例描述修饰器

from SteamedBread import param_file, case_title


@param_file("测试数据文件")
@case_title("用例标题")
def test_example(param):
    print(param)

✅ 日志打印工具

from SteamedBread import logger

# 默认打印INFO级别的日志至控制台
logger.info("info")

# 打印DEBUG级别的日志至文件, 仍受限于全局的日志等级: 实际仍然打印INFO级别的
logger.setFilename("2024-04-24", level="DEBUG")

logger.warning("warning")

# 设置全局的日志打印等级
logger.setLevel(level="DEBUG")

✅ 时间回溯工具

from SteamedBread import TimeFormat

dt1 = TimeFormat.flash_back(days=-1)
print(f"往前回溯了一天: {dt1}")

dt2 = TimeFormat.flash_back(month=1)
print(f"往后穿越一个月: {dt2}")

print(dt2 < dt1)  # True

✅ 文件处理工具

from SteamedBread import FileOperate

# 设置jsonify 可以转换为json格式, 反之为字符串
FileOperate.read_file(filename="some.json", jsonify=True)
FileOperate.read_excel(filename="some.xlsx", sheet_name="Sheet1")

# 写入文件
FileOperate.write_file(filename="some.json", data="{}")
FileOperate.write_excel(
    filename="some.xlsx",
    data={"a列头": [1, 2, 3], "b列头": ["a", "b", "c"]}
)