python fastapi swagger 连接超时

问题描述

运行python项目时,访问fastapi swagger出现连接超时。

https://cdn.jsdelivr.net/npm/swagger-ui-dist@4/swagger-ui.css

https://cdn.jsdelivr.net/npm/swagger-ui-dist@4/swagger-ui-bundle.js

解决方案

第一步 下载文件

https://pan.baidu.com/s/1EfKqxJvHKKs3vZEjTsYlIw

提取码: 1024

或者从github地址获取

https://github.com/swagger-api/swagger-ui
https://github.com/Redocly/redoc

文件下载后保存在目录 static/swagger-ui 中(与app.py)同级。

第二步 修改docs.py

我使用的是miniconda

C:\Users\Jack\.conda\envs\python_project\Lib\site-packages\fastapi\openapi\docs.py

Jack 为计算机用户名,python_projct 为conda虚拟环境

swagger_js_url: str = "https://cdn.jsdelivr.net/npm/swagger-ui-dist@4/swagger-ui-bundle.js",
swagger_css_url: str = "https://cdn.jsdelivr.net/npm/swagger-ui-dist@4/swagger-ui.css",
swagger_favicon_url: str = "https://fastapi.tiangolo.com/img/favicon.png",

更新如下

    swagger_js_url: str = "/static/swagger-ui/swagger-ui-bundle.js",
    swagger_css_url: str = "/static/swagger-ui/swagger-ui.css",
    swagger_favicon_url: str = "/static/swagger-ui/favicon-32x32.png",

注释以下代码

redoc_js_url: str = "https://cdn.jsdelivr.net/npm/redoc@next/bundles/redoc.standalone.js",
redoc_favicon_url: str = "https://fastapi.tiangolo.com/img/favicon.png",

更新如下

    redoc_js_url: str = "/static/redoc/bundles/redoc.standalone.js",
    redoc_favicon_url: str = "/static/redoc/favicon.png",

第三步 修改app.py

from starlette.staticfiles import StaticFiles  # 先引用包
from fastapi import FastAPI
import uvicorn

app = FastAPI(
    title=settings.APP_NAME,
    description=settings.APP_DESCRIPTION,
    version=settings.APP_VERSION,
    docs_url=settings.APP_DOCS_URL
)

app.mount('/static', StaticFiles(directory='static'), name='static')

if __name__ == "__main__":
    setup_database()
    uvicorn.run("app:app", host=settings.RUN_HOST, port=settings.RUN_PORT, reload=True)

运行项目后访问 http://localhost:8002/docs

附录

docs.py

import json
from typing import Any, Dict, Optional

from fastapi.encoders import jsonable_encoder
from starlette.responses import HTMLResponse

swagger_ui_default_parameters = {
    "dom_id": "#swagger-ui",
    "layout": "BaseLayout",
    "deepLinking": True,
    "showExtensions": True,
    "showCommonExtensions": True,
}


def get_swagger_ui_html(
    *,
    openapi_url: str,
    title: str,
    #swagger_js_url: str = "https://cdn.jsdelivr.net/npm/swagger-ui-dist@4/swagger-ui-bundle.js",
    #swagger_css_url: str = "https://cdn.jsdelivr.net/npm/swagger-ui-dist@4/swagger-ui.css",
    #swagger_favicon_url: str = "https://fastapi.tiangolo.com/img/favicon.png",
    
    swagger_js_url: str = "/static/swagger-ui/swagger-ui-bundle.js",
    swagger_css_url: str = "/static/swagger-ui/swagger-ui.css",
    swagger_favicon_url: str = "/static/swagger-ui/favicon-32x32.png",
    oauth2_redirect_url: Optional[str] = None,
    init_oauth: Optional[Dict[str, Any]] = None,
    swagger_ui_parameters: Optional[Dict[str, Any]] = None,
) -> HTMLResponse:
    current_swagger_ui_parameters = swagger_ui_default_parameters.copy()
    if swagger_ui_parameters:
        current_swagger_ui_parameters.update(swagger_ui_parameters)

    html = f"""
    <!DOCTYPE html>
    <html>
    <head>
    <link type="text/css" rel="stylesheet" href="{swagger_css_url}">
    <link rel="shortcut icon" href="{swagger_favicon_url}">
    <title>{title}</title>
    </head>
    <body>
    <div id="swagger-ui">
    </div>
    <script src="{swagger_js_url}"></script>
    <!-- `SwaggerUIBundle` is now available on the page -->
    <script>
    const ui = SwaggerUIBundle({{
        url: '{openapi_url}',
    """

    for key, value in current_swagger_ui_parameters.items():
        html += f"{json.dumps(key)}: {json.dumps(jsonable_encoder(value))},\n"

    if oauth2_redirect_url:
        html += f"oauth2RedirectUrl: window.location.origin + '{oauth2_redirect_url}',"

    html += """
    presets: [
        SwaggerUIBundle.presets.apis,
        SwaggerUIBundle.SwaggerUIStandalonePreset
        ],
    })"""

    if init_oauth:
        html += f"""
        ui.initOAuth({json.dumps(jsonable_encoder(init_oauth))})
        """

    html += """
    </script>
    </body>
    </html>
    """
    return HTMLResponse(html)


def get_redoc_html(
    *,
    openapi_url: str,
    title: str,
    #redoc_js_url: str = "https://cdn.jsdelivr.net/npm/redoc@next/bundles/redoc.standalone.js",
    #redoc_favicon_url: str = "https://fastapi.tiangolo.com/img/favicon.png",
    redoc_js_url: str = "/static/redoc/bundles/redoc.standalone.js",
    redoc_favicon_url: str = "/static/redoc/favicon.png",
    with_google_fonts: bool = True,
) -> HTMLResponse:
    html = f"""
    <!DOCTYPE html>
    <html>
    <head>
    <title>{title}</title>
    <!-- needed for adaptive design -->
    <meta charset="utf-8"/>
    <meta name="viewport" content="width=device-width, initial-scale=1">
    """
    if with_google_fonts:
        html += """
    <link href="https://fonts.googleapis.com/css?family=Montserrat:300,400,700|Roboto:300,400,700" rel="stylesheet">
    """
    html += f"""
    <link rel="shortcut icon" href="{redoc_favicon_url}">
    <!--
    ReDoc doesn't change outer page styles
    -->
    <style>
      body {{
        margin: 0;
        padding: 0;
      }}
    </style>
    </head>
    <body>
    <redoc spec-url="{openapi_url}"></redoc>
    <script src="{redoc_js_url}"> </script>
    </body>
    </html>
    """
    return HTMLResponse(html)


def get_swagger_ui_oauth2_redirect_html() -> HTMLResponse:
    html = """
    <!DOCTYPE html>
    <html lang="en-US">
    <body onload="run()">
    </body>
    </html>
    <script>
        'use strict';
        function run () {
            var oauth2 = window.opener.swaggerUIRedirectOauth2;
            var sentState = oauth2.state;
            var redirectUrl = oauth2.redirectUrl;
            var isValid, qp, arr;

            if (/code|token|error/.test(window.location.hash)) {
                qp = window.location.hash.substring(1);
            } else {
                qp = location.search.substring(1);
            }

            arr = qp.split("&")
            arr.forEach(function (v,i,_arr) { _arr[i] = '"' + v.replace('=', '":"') + '"';})
            qp = qp ? JSON.parse('{' + arr.join() + '}',
                    function (key, value) {
                        return key === "" ? value : decodeURIComponent(value)
                    }
            ) : {}

            isValid = qp.state === sentState

            if ((
            oauth2.auth.schema.get("flow") === "accessCode"||
            oauth2.auth.schema.get("flow") === "authorizationCode"
            ) && !oauth2.auth.code) {
                if (!isValid) {
                    oauth2.errCb({
                        authId: oauth2.auth.name,
                        source: "auth",
                        level: "warning",
                        message: "Authorization may be unsafe, passed state was changed in server Passed state wasn't returned from auth server"
                    });
                }

                if (qp.code) {
                    delete oauth2.state;
                    oauth2.auth.code = qp.code;
                    oauth2.callback({auth: oauth2.auth, redirectUrl: redirectUrl});
                } else {
                    let oauthErrorMsg
                    if (qp.error) {
                        oauthErrorMsg = "["+qp.error+"]: " +
                            (qp.error_description ? qp.error_description+ ". " : "no accessCode received from the server. ") +
                            (qp.error_uri ? "More info: "+qp.error_uri : "");
                    }

                    oauth2.errCb({
                        authId: oauth2.auth.name,
                        source: "auth",
                        level: "error",
                        message: oauthErrorMsg || "[Authorization failed]: no accessCode received from the server"
                    });
                }
            } else {
                oauth2.callback({auth: oauth2.auth, token: qp, isValid: isValid, redirectUrl: redirectUrl});
            }
            window.close();
        }
    </script>
        """
    return HTMLResponse(content=html)

### Java项目中集成和使用FastGPT的方法 为了在Java项目中成功集成和使用FastGPT,前期准备至关重要。确保已经搭建好了FastGPT环境[^1]。 #### 创建Maven或Gradle项目结构 假设采用的是标准的Maven构建工具,则项目的`pom.xml`应该配置依赖项来支持HTTP请求发送以及JSON解析等功能。对于Gradle用户来说则是修改对应的build.gradle文件。 #### 添加必要的依赖库 引入用于发起API调用的相关库,比如Apache HttpClient或是OkHttp等网络通信框架;Jackson或者是Gson这样的序列化/反序列化工具有助于处理来自FastGPT API的数据交换: ```xml <!-- Maven pom.xml --> <dependencies> <!-- Apache HttpComponents Client 4.x --> <dependency> <groupId>org.apache.httpcomponents</groupId> <artifactId>httpclient</artifactId> <version>4.5.13</version> </dependency> <!-- Jackson Core for JSON processing --> <dependency> <groupId>com.fasterxml.jackson.core</groupId> <artifactId>jackson-databind</artifactId> <version>2.12.3</version> </dependency> </dependencies> ``` #### 编写访问FastGPT接口的服务类 下面是一个简单的例子展示怎样通过Java代码向FastGPT发出POST请求获取回复消息: ```java import org.apache.http.HttpResponse; import org.apache.http.client.methods.HttpPost; import org.apache.http.entity.StringEntity; import org.apache.http.impl.client.CloseableHttpClient; import org.apache.http.impl.client.HttpClients; import com.fasterxml.jackson.databind.ObjectMapper; public class FastGPTService { private static final String FAST_GPT_API_URL = "https://your-fastgpt-api-endpoint"; public String sendMessage(String message) throws Exception { CloseableHttpClient httpClient = HttpClients.createDefault(); try { HttpPost postRequest = new HttpPost(FAST_GPT_API_URL); // 设置请求头 postRequest.setHeader("Content-Type", "application/json"); postRequest.setHeader("Authorization", "Bearer YOUR_FASTGPT_API_KEY"); // 构建请求体 Map<String, Object> requestBody = new HashMap<>(); requestBody.put("message", message); ObjectMapper mapper = new ObjectMapper(); String jsonPayload = mapper.writeValueAsString(requestBody); postRequest.setEntity(new StringEntity(jsonPayload)); HttpResponse response = httpClient.execute(postRequest); int statusCode = response.getStatusLine().getStatusCode(); if (statusCode == 200) { BufferedReader reader = new BufferedReader( new InputStreamReader(response.getEntity().getContent()) ); StringBuilder result = new StringBuilder(); String line; while ((line = reader.readLine()) != null) { result.append(line); } return result.toString(); // 返回接收到的消息内容 } else { throw new RuntimeException("Failed : HTTP error code : " + statusCode); } } finally { httpClient.close(); } } } ``` 需要注意的是,在实际部署环境中应当妥善管理API密钥的安全存储,并考虑设置合理的超时时间防止长时间等待无果的情况发生。另外,考虑到速率限制因素(每分钟最多三次免费调用),合理规划应用程序逻辑以适应这些约束条件也是十分重要的[^4]。
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