Python3 Flask模板渲染Url地址数据中JavaScript代码区块内出现字符丢失 Python3 Flask模板渲染Url地址数据中JavaScript出现字符丢失问题原因由于Flask框架在模板渲染时会自动进行转义，所以url等复杂的文本会进行自动转义从而导致丢失一些字符最后造成url无法访问所有扩展名为 .html 、 .htm 、 .xml 以及 .xhtml 的模板会开启自动转义模板可以利用 {% autoescape %} 标签选择自动转义的开关。代码详情config = { "url": "http://xxxxxxxxxxxxxxxxx" } ...... return render_template("index.html", config=config)url: "{{ config.url }}",解决办法关闭渲染时自动转义url: "{% autoescape off %}{{ config.url }}{% endautoescape %}"

Python3 使用selenium-wire捕获动态网页视频资源文件 Python3 使用selenium-wire捕获动态网页视频资源文件1.环境安装idea虚拟环境谷歌浏览器pip3 install selenium pip3 install selenium-wire2.Python3代码from selenium.webdriver.chrome.options import Options from seleniumwire import webdriver def getVideo(url): # 创建一个请求头对象 chromeOptions = Options() # 设置无头模式，浏览器处于后台运行，不会在前台显示 chromeOptions.add_argument('--headless') # 设置lang和User-Agent来模拟真人点击，防止被反爬虫检测到 # 设置语言为中文 字符编码为UTF-8 chromeOptions.add_argument('lang=zh_CN.utf-8') # 设置user-agent用来模拟EDGE浏览器 UserAgent = 'Mozilla/5.0 (iPhone; CPU iPhone OS 13_2_3 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/13.0.3 Mobile/15E148 Safari/604.1 Edg/111.0.0.0' chromeOptions.add_argument(f'User-Agent={UserAgent}') # 启动浏览器并设置chrome_options参数 driver = webdriver.Chrome(chrome_options=chromeOptions) # 3次重新连接尝试 for i in range(0, 3): # 开始请求 print(f"第{i}次请求") driver.get(url) for request in driver.requests: if request.url.endswith("mp4") or request.url.endswith("m3u8"): return { "code": 200, "data": request.url } driver.close() return { "code": 404, "data": "资源不存在" } print(getVideo("寻找视频地址"))3.运行结果成功结果第0次请求 第1次请求 {'code': 200, 'data': 'https://xxxxxxxxxxxxxxx'}失败结果第0次请求 第1次请求 第3次请求 {'code': 404, 'data': '资源不存在'}

Python3 简单调用ChatGpt Api Python3 简单调用ChatGpt Apiimport openai import datetime import random import urllib from PIL import Image def DownLoadImage(url): print(url) try: name = str(round(datetime.datetime.now().timestamp() + random.randint(1, 99))) + ".jpg" urllib.request.urlretrieve(url, name) return {"code": 200, "filename": name} except: return {"code": 201, "msg": "下载失败"} class ChatGpt: # openAi配置参数 # 模型名称 model = "text-davinci-003" # 控制结果随机性，0.0表示结果固定，随机性大可以设置为0.9 temperature = 0.8 # 最大返回字数（包括问题和答案），通常汉字占两个token。假设设置成100，如果prompt问题中有40个汉字，那么返回结果中最多包括10个汉字。 max_tokens = 1024 # 控制ChatGPT生成的话的多样性 top_p = 1.0 # 频率惩罚介于-2.0和2.0之间，它影响模型如何根据文本中词汇（token）的现有频率惩罚新词汇（token） frequency_penalty = 0.5 # 存在惩罚介于-2.0和2.0之间，它影响模型如何根据到目前为止是否出现在文本中来惩罚新token。 presence_penalty = 0.0 openai.organization = "org-CFk*********sasyBjhqj" openai.api_key = "sk-A0OlOGuz3g**************FJSjdmaga0evJVbqZCyiM4" def getText(self, text): try: response = openai.Completion.create( model=self.model, prompt=str(text).strip(), temperature=self.temperature, max_tokens=self.max_tokens, top_p=self.top_p, frequency_penalty=self.frequency_penalty, presence_penalty=self.presence_penalty ) response = response['choices'][0]["text"] except Exception as e: response = e print(response.strip()) return response.strip() def getImage(self, text, num=1, size="1024x1024"): response = openai.Image.create( prompt=str(text).strip(), n=num, size=size ) image_url = response['data'] for i in image_url: data = DownLoadImage(i["url"]) if data["code"] == 200: img = Image.open(data['filename']) img.show() if __name__ == "__main__": gpt = ChatGpt() # 生成图片 (第一个参数为文本，第二个参数为生成几张图片，第三个参数为分辨率256x256 512x512 1024x1024) # gpt.getImage("太极图", 1, "1024x1024") # 生成文字 (传入文字内容就行了) # gpt.getText("你好")

openstack api 操作 flavor 通过 openstack api 的方式操作 flavor获取flavor列表import json, requests url = "http://172.16.1.151:5000/v3/auth/tokens" body = { "auth": { "identity": { "methods": [ "password" ], "password": { "user": { "domain": { "name": "demo" }, "name": "admin", "password": "000000" } } }, "scope": { "project": { "domain": { "name": "demo" }, "name": "admin" } } } } headers = { "Content-Type": "application/json", } token = requests.post(url, data=json.dumps(body), headers=headers).headers['X-Subject-Token'] flavors = requests.get('http://controller:8774/v2.1/flavors', headers={'X-Auth-Token': token}) json_flavors = json.loads(flavors.text) for i in json_flavors['flavors']: print(i) 创建新的flavorimport json import requests url = "http://172.16.1.151:5000/v3/auth/tokens" body = { "auth": { "identity": { "methods": [ "password" ], "password": { "user": { "domain": { "name": "demo" }, "name": "admin", "password": "000000" } } }, "scope": { "project": { "domain": { "name": "demo" }, "name": "admin" } } } } headers = { "Content-Type": "application/json", } token = requests.post(url, data=json.dumps(body), headers=headers).headers['X-Subject-Token'] # 创建云主机类型 def create_flavor(id, vcpus, ram, disk, name): headers = { "Content-Type": "application/json", "X-Auth-Token": token } body = { "flavor": { "name": name, "ram": ram, "vcpus": vcpus, "disk": disk, "id": id } } return requests.post('http://172.16.1.151:8774/v2.1/flavors', data=json.dumps(body), headers=headers) flavor = create_flavor(id=100, vcpus=1, ram=1024, disk=10, name='api-create') print(flavor.text)删除flavorimport requests,json url = r'http://172.16.1.151:5000/v3/auth/tokens' headers = { "context-type": "application/json" } body = { "auth": { "identity": { "methods": [ "password" ], "password": { "user": { "domain": { "name": "demo" }, "name": "admin", "password": "000000" } } }, "scope": { "project": { "domain": { "name": "demo" }, "name": "admin" } } } } token = requests.post(url, data=json.dumps(body), headers=headers).headers['X-Subject-Token'] headers = { "context-type": "application/json", "x-auth-token": token } #删除云主机类型 flavor = requests.delete('http://172.16.1.151:8774/v2.1/flavors/' + '100',headers=headers) print(flavor.text)

openstack api 获取token 通过openstack api 的方式获取身份令牌tokenimport time, requests, json headers = { "Context-Type": "json" } url = r'http://172.16.1.121:5000/v3/auth/tokens' body = { "auth": { "identity": { "methods": [ "password" ], "password": { "user": { "domain": { "name": "demo" }, "name": "admin", "password": "000000" } } }, "scope": { "project": { "domain": { "name": "demo" }, "name": "admin" } } } } token = requests.post(url=url, data=json.dumps(body), headers=headers) print(token.headers)