推荐|Python中builtins库的hasattr函数的用法

Python中builtins库的hasattr函数的用法

23-11-14 09:22

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Python中builtins库的hasattr函数的用法

文章目录

Python中builtins库的hasattr函数的用法

在Python中， hasattr函数是内置（builtins）模块的一部分，它用于检查对象是否具有给定的属性。它的基本语法如下：

hasattr(object, name)
1

这里：

object：这是要检查属性的对象。
name：这是要检查的属性的名称。

hasattr函数返回一个布尔值，如果对象具有给定的属性，则返回True，否则返回False。

例如：

class MyClass:  
    def __init__(self):  
        self.my_attribute = 123  
  
my_obj = MyClass()  
print(hasattr(my_obj, 'my_attribute'))  # 输出：True  
print(hasattr(my_obj, 'another_attribute'))  # 输出：False
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在这个例子中，MyClass的一个实例my_obj具有一个名为my_attribute的属性，所以hasattr(my_obj, 'my_attribute')返回True。然而，my_obj没有名为another_attribute的属性，所以hasattr(my_obj, 'another_attribute')返回False。

《AUTOSAR谱系分解(ETAS工具链)》之总目录

id="article_content" class="article_content clearfix"> id="content_views" class="htmledit_views">

配置依赖--requirements.txt

前言

一句话定义：
DeepSeek 是一款面向[数据挖掘/机器学习/AI开发]的高效开源工具（根据实际用途描述），支持[分布式计算/自动化模型训练/数据可视化]等功能，旨在帮助开发者快速处理复杂任务。
为什么选择DeepSeek：
- ✅ 高性能：基于[技术架构，如TensorFlow/PyTorch/Spark]，优化计算效率。
- ✅ 易用性：提供简洁API和可视化界面，降低学习门槛。
- ✅ 社区支持：活跃的开源社区持续更新，解决用户痛点。
后面代码在本地运行的样子：

调用deepseek的API接口前置条件

依赖工具：Python环境（建议使用Anaconda管理）
获取自己的apikeys：
- 进入DeepSeek官网->DeepSeek | 深度求索
- 点击右上角API开放平台进入API后台
- 登录后便可查看到自己的余额和使用情况的信息啦
- 点击API keys，创建API keys。API keys只能在创建成功时查看一次,后面只能再新建,不可查看已经创建好的keys，注意保存！！

调用API及其代码

获取到API keys后便可以调用啦，下面代码是有前端代码和后端代码的，运行后直接在输入框填入提问的问题便可。

文件创建
- deepseek （主文件夹）
  - templates (放前端代码的文件夹)
    - index.html
  - static （放网页图标的文件夹）
    - favicon.ico （可以直接在百度上搜一个ico复制粘贴进去就行）
  - app.py （主运行程序）
  - config.py （配置文件，apikeys放在其中）
  - requirements.txt （引入的环境配置及依赖）
配置依赖--requirements.txt

pytest==7.4.0

python-dateutil==2.8.2

openai>=1.0.0

flask>=2.0.0

配置完成后，在终端运行 pip install -r requirements.txt 安装依赖

配置文件--config.py

# 配置参数

APP_NAME = "我的Python程序"

VERSION = "1.0.0"

# 数据库配置 -- 这个不写也没事

DB_CONFIG = {

"host": "localhost",

"port": 5432,

"database": "myapp"

}

# API配置

API_CONFIG = {

"api_key": "自己API keys",

"base_url": "https://api.deepseek.com"

}

# 服务器配置

SERVER_CONFIG = {

"host": "0.0.0.0", # 监听所有网络接口

"port": 8080, # 使用8080端口

"debug": False # 生产环境关闭调试模式

}

前端代码--index.html

 class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="1">

class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="1"> class="hljs-ln-code"> class="hljs-ln-line">from flask import Flask, request, render_template, jsonify, Response, send_from_directory class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="2"> class="hljs-ln-code"> class="hljs-ln-line">from openai import OpenAI class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="3"> class="hljs-ln-code"> class="hljs-ln-line">from config import API_CONFIG class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="4"> class="hljs-ln-code"> class="hljs-ln-line">import json class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="5"> class="hljs-ln-code"> class="hljs-ln-line">import os class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="6"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="7"> class="hljs-ln-code"> class="hljs-ln-line">app = Flask(__name__) class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="8"> class="hljs-ln-code"> class="hljs-ln-line">client = OpenAI( class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="9"> class="hljs-ln-code"> class="hljs-ln-line"> api_key=API_CONFIG["api_key"], class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="10"> class="hljs-ln-code"> class="hljs-ln-line"> base_url=API_CONFIG["base_url"] class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="11"> class="hljs-ln-code"> class="hljs-ln-line">) class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="12"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="13"> class="hljs-ln-code"> class="hljs-ln-line"># 添加favicon路由 class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="14"> class="hljs-ln-code"> class="hljs-ln-line">@app.route('/favicon.ico') class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="15"> class="hljs-ln-code"> class="hljs-ln-line">def favicon(): class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="16"> class="hljs-ln-code"> class="hljs-ln-line"> return send_from_directory(os.path.join(app.root_path, 'static'), class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="17"> class="hljs-ln-code"> class="hljs-ln-line"> 'favicon.ico', mimetype='image/vnd.microsoft.icon') class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="18"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="19"> class="hljs-ln-code"> class="hljs-ln-line"># 添加基本的安全头 class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="20"> class="hljs-ln-code"> class="hljs-ln-line">@app.after_request class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="21"> class="hljs-ln-code"> class="hljs-ln-line">def add_security_headers(response): class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="22"> class="hljs-ln-code"> class="hljs-ln-line"> response.headers['X-Content-Type-Options'] = 'nosniff' class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="23"> class="hljs-ln-code"> class="hljs-ln-line"> response.headers['X-Frame-Options'] = 'DENY' class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="24"> class="hljs-ln-code"> class="hljs-ln-line"> response.headers['X-XSS-Protection'] = '1; mode=block' class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="25"> class="hljs-ln-code"> class="hljs-ln-line"> return response class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="26"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="27"> class="hljs-ln-code"> class="hljs-ln-line">@app.route('/') class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="28"> class="hljs-ln-code"> class="hljs-ln-line">def home(): class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="29"> class="hljs-ln-code"> class="hljs-ln-line"> return render_template('index.html') class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="30"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="31"> class="hljs-ln-code"> class="hljs-ln-line">def get_api_response(user_message, max_retries=3): class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="32"> class="hljs-ln-code"> class="hljs-ln-line"> """获取API响应，支持重试机制""" class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="33"> class="hljs-ln-code"> class="hljs-ln-line"> for attempt in range(max_retries): class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="34"> class="hljs-ln-code"> class="hljs-ln-line"> try: class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="35"> class="hljs-ln-code"> class="hljs-ln-line"> print(f"\n第{attempt + 1}次尝试获取回答") class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="36"> class="hljs-ln-code"> class="hljs-ln-line"> response = client.chat.completions.create( class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="37"> class="hljs-ln-code"> class="hljs-ln-line"> model='deepseek-reasoner', class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="38"> class="hljs-ln-code"> class="hljs-ln-line"> messages=[ class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="39"> class="hljs-ln-code"> class="hljs-ln-line"> {"role": "system", "content": "You are a helpful assistant."}, class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="40"> class="hljs-ln-code"> class="hljs-ln-line"> {"role": "user", "content": user_message}, class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="41"> class="hljs-ln-code"> class="hljs-ln-line"> ], class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="42"> class="hljs-ln-code"> class="hljs-ln-line"> stream=True class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="43"> class="hljs-ln-code"> class="hljs-ln-line"> ) class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="44"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="45"> class="hljs-ln-code"> class="hljs-ln-line"> full_response = "" class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="46"> class="hljs-ln-code"> class="hljs-ln-line"> for chunk in response: class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="47"> class="hljs-ln-code"> class="hljs-ln-line"> if chunk.choices[0].delta.content is not None: class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="48"> class="hljs-ln-code"> class="hljs-ln-line"> content = chunk.choices[0].delta.content class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="49"> class="hljs-ln-code"> class="hljs-ln-line"> full_response += content class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="50"> class="hljs-ln-code"> class="hljs-ln-line"> yield content class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="51"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="52"> class="hljs-ln-code"> class="hljs-ln-line"> if full_response.strip(): # 如果有实际内容就返回 class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="53"> class="hljs-ln-code"> class="hljs-ln-line"> print(f"\n完整回答: {full_response}\n") class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="54"> class="hljs-ln-code"> class="hljs-ln-line"> return class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="55"> class="hljs-ln-code"> class="hljs-ln-line"> else: class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="56"> class="hljs-ln-code"> class="hljs-ln-line"> print(f"\n第{attempt + 1}次尝试返回为空") class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="57"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="58"> class="hljs-ln-code"> class="hljs-ln-line"> except Exception as e: class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="59"> class="hljs-ln-code"> class="hljs-ln-line"> print(f"\n第{attempt + 1}次尝试发生错误: {str(e)}") class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="60"> class="hljs-ln-code"> class="hljs-ln-line"> if attempt == max_retries - 1: # 最后一次尝试 class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="61"> class="hljs-ln-code"> class="hljs-ln-line"> raise Exception("API多次调用失败") class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="62"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="63"> class="hljs-ln-code"> class="hljs-ln-line"> raise Exception("API返回数据为空") class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="64"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="65"> class="hljs-ln-code"> class="hljs-ln-line">@app.route('/chat', methods=['POST']) class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="66"> class="hljs-ln-code"> class="hljs-ln-line">def chat(): class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="67"> class="hljs-ln-code"> class="hljs-ln-line"> try: class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="68"> class="hljs-ln-code"> class="hljs-ln-line"> user_message = request.json['message'] class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="69"> class="hljs-ln-code"> class="hljs-ln-line"> print(f"\n用户问题: {user_message}") class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="70"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="71"> class="hljs-ln-code"> class="hljs-ln-line"> def generate(): class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="72"> class="hljs-ln-code"> class="hljs-ln-line"> for attempt in range(3): # 最多尝试3次 class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="73"> class="hljs-ln-code"> class="hljs-ln-line"> try: class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="74"> class="hljs-ln-code"> class="hljs-ln-line"> print(f"\n第{attempt + 1}次尝试获取回答") class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="75"> class="hljs-ln-code"> class="hljs-ln-line"> response = client.chat.completions.create( class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="76"> class="hljs-ln-code"> class="hljs-ln-line"> model='deepseek-reasoner', class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="77"> class="hljs-ln-code"> class="hljs-ln-line"> messages=[ class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="78"> class="hljs-ln-code"> class="hljs-ln-line"> {"role": "system", "content": "You are a helpful assistant."}, class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="79"> class="hljs-ln-code"> class="hljs-ln-line"> {"role": "user", "content": user_message}, class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="80"> class="hljs-ln-code"> class="hljs-ln-line"> ], class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="81"> class="hljs-ln-code"> class="hljs-ln-line"> stream=True class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="82"> class="hljs-ln-code"> class="hljs-ln-line"> ) class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="83"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="84"> class="hljs-ln-code"> class="hljs-ln-line"> full_response = "" class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="85"> class="hljs-ln-code"> class="hljs-ln-line"> for chunk in response: class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="86"> class="hljs-ln-code"> class="hljs-ln-line"> if chunk.choices[0].delta.content is not None: class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="87"> class="hljs-ln-code"> class="hljs-ln-line"> content = chunk.choices[0].delta.content class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="88"> class="hljs-ln-code"> class="hljs-ln-line"> full_response += content class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="89"> class="hljs-ln-code"> class="hljs-ln-line"> print(content, end='', flush=True) class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="90"> class="hljs-ln-code"> class="hljs-ln-line"> yield f"data: {json.dumps({'content': content})}\n\n" class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="91"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="92"> class="hljs-ln-code"> class="hljs-ln-line"> if full_response.strip(): # 如果响应不为空，则返回 class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="93"> class="hljs-ln-code"> class="hljs-ln-line"> print(f"\n完整回答: {full_response}") class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="94"> class="hljs-ln-code"> class="hljs-ln-line"> return class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="95"> class="hljs-ln-code"> class="hljs-ln-line"> else: class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="96"> class="hljs-ln-code"> class="hljs-ln-line"> print(f"\n第{attempt + 1}次尝试返回为空") class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="97"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="98"> class="hljs-ln-code"> class="hljs-ln-line"> except Exception as e: class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="99"> class="hljs-ln-code"> class="hljs-ln-line"> print(f"\n第{attempt + 1}次尝试发生错误: {str(e)}") class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="100"> class="hljs-ln-code"> class="hljs-ln-line"> if attempt == 2: # 最后一次尝试失败 class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="101"> class="hljs-ln-code"> class="hljs-ln-line"> yield f"data: {json.dumps({'content': '**API返回数据为空**'})}\n\n" class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="102"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="103"> class="hljs-ln-code"> class="hljs-ln-line"> # 如果所有尝试都失败 class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="104"> class="hljs-ln-code"> class="hljs-ln-line"> if not full_response.strip(): class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="105"> class="hljs-ln-code"> class="hljs-ln-line"> yield f"data: {json.dumps({'content': '**API返回数据为空**'})}\n\n" class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="106"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="107"> class="hljs-ln-code"> class="hljs-ln-line"> return Response(generate(), mimetype='text/event-stream') class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="108"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="109"> class="hljs-ln-code"> class="hljs-ln-line"> except Exception as e: class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="110"> class="hljs-ln-code"> class="hljs-ln-line"> error_msg = f"发生错误: {str(e)}" class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="111"> class="hljs-ln-code"> class="hljs-ln-line"> print(error_msg) class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="112"> class="hljs-ln-code"> class="hljs-ln-line"> return jsonify({"error": error_msg}), 500 class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="113"> class="hljs-ln-code"> class="hljs-ln-line"> class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="114"> class="hljs-ln-code"> class="hljs-ln-line">if __name__ == '__main__': class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="115"> class="hljs-ln-code"> class="hljs-ln-line"> # 修改为监听所有网络接口，设置端口为8080 class="hljs-ln-numbers"> class="hljs-ln-line hljs-ln-n" data-line-number="116"> class="hljs-ln-code"> class="hljs-ln-line"> app.run(host='0.0.0.0', port=8080, debug=False) class="hide-preCode-box">

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Python中builtins库的hasattr函数的用法

文章目录

前言

调用deepseek的API接口前置条件

调用API及其代码

文件创建

配置依赖--requirements.txt

配置文件--config.py

前端代码--index.html

主运行代码--app.py

运行代码

最后结语

评论记录：