使用 Axios 面对 API 和 node.js

Question

我正在使用 Azure 的认知服务 Face API 来分析图像。我早些时候使用 url 图像链接使它正常工作，但我试图让它与本地图像一起工作。我发现问这正是我在 request.post 中寻找的内容，但我正试图让它与 axios 一起工作。我的代码：

"use strict";
const axios = require("axios").default;
const fs = require("fs");

let file = "localFile.jpg";

const imageBuffer = fs.readFileSync(file, { encoding: "base64" });

// Add a valid subscription key and endpoint to your environment variables.
var subscriptionKey = "<Subscription key>";
var urlApi=
    "https://.../face/v1.0/detect";


// Send a POST request
axios({
    method: "post",
    url: urlApi,
    params: {
        returnFaceId: true,
        returnFaceLandmarks: false,
        returnFaceAttributes:
            "age,gender,headPose,smile,facialHair,glasses,emotion,hair,makeup,occlusion,accessories,blur,exposure,noise",
    },
    headers: {
        "Content-Type": "application/octet-stream",
        "Ocp-Apim-Subscription-Key": subscriptionKey,
        "Content-Length": imageBuffer.length,
    },
    data: imageBuffer,
})
    .then((response) => {
        console.log("Status text: " + response.status);
        console.log("Status text: " + response.statusText);
        console.log();
        //console.log(response.data)
        response.data.forEach((face) => {
            console.log("Face ID: " + face.faceId);

            console.log("Smile: " + face.faceAttributes.smile);
            console.log(
                "Head pose: " + JSON.stringify(face.faceAttributes.headPose)
            );
            console.log("Gender: " + face.faceAttributes.gender);
            console.log("Age: " + face.faceAttributes.age);
            console.log(
                "Facial hair: " + JSON.stringify(face.faceAttributes.facialHair)
            );
            console.log("Glasses: " + face.faceAttributes.glasses);
            console.log("Smile: " + face.faceAttributes.smile);
            console.log(
                "Emotion: " + JSON.stringify(face.faceAttributes.emotion)
            );
            console.log("Blur: " + JSON.stringify(face.faceAttributes.blur));
            console.log(
                "Exposure: " + JSON.stringify(face.faceAttributes.exposure)
            );
            console.log("Noise: " + JSON.stringify(face.faceAttributes.noise));
            console.log(
                "Makeup: " + JSON.stringify(face.faceAttributes.makeup)
            );
            console.log(
                "Accessories: " +
                    JSON.stringify(face.faceAttributes.accessories)
            );
            console.log("Hair: " + JSON.stringify(face.faceAttributes.hair));
            console.log();
        });
    })
    .catch(function (error) {
        console.log(error);
    });

我原以为会得到类似 json 格式的输出，但我得到的却是 status: 400, statusText: 'Bad Request'，我不确定为什么。如有任何帮助，我们将不胜感激。

我也试过了

const imageBuffer = fs.readFileSync(file);

和

const options = [
                "returnFaceId=true",
"returnFaceLandmarks=true",
"returnFaceAttributes=age,gender,headPose,smile,facialHair,glasses,emotion,hair,makeup,accessories",
                ];
        urlApi = urlApi.concat("?", options.join("&"));
        axios.post(urlApi,
                   { body: imageBuffer},
                   {     headers: {
    "Content-Type": "application/octet-stream",
    "Ocp-Apim-Subscription-Key": subscriptionKey,
    "Content-Length": imageBuffer.length,
},
                    )

详细错误回复：（应Jim Xu的要求）

response: {
status: 400,
statusText: 'Bad Request',
headers: {
  'transfer-encoding': 'chunked',
  'content-type': 'application/json; charset=utf-8',
  'x-envoy-upstream-service-time': '8',
  'apim-request-id': 'cb7f0380-a785-49f5-94fe-ff5ed0e36742',
  'strict-transport-security': 'max-age=31536000; includeSubDomains; preload',
  'x-content-type-options': 'nosniff',
  'csp-billing-usage': 'CognitiveServices.Face.Transaction=1',
  date: 'Sun, 20 Sep 2020 13:55:45 GMT',
  connection: 'close'
}

Answer 1

如果要在node环境下运行Axios，我们应该使用Stream, Buffer作为请求体数据。详情请参考here.

例如

axios
  .post(
    "<your face api endpoint>",
    fs.readFileSync("D:\faces.jpg"),
    {
      headers: {
        "Ocp-Apim-Subscription-Key": subscriptionKey,
        "Content-Type": "application/octet-stream",
      },
      params: {
        returnFaceId: true,
        returnFaceLandmarks: false,
        returnFaceAttributes:
          "age,gender,headPose,smile,facialHair,glasses,emotion,hair,makeup,occlusion,accessories,blur,exposure,noise",
      },
    }
  )
  .then((response) => {
    console.log("Status text: " + response.status);
    console.log("Status text: " + response.statusText);
    console.log();
    //console.log(response.data)
    response.data.forEach((face) => {
      console.log("Face ID: " + face.faceId);
      console.log(
        "Face rectangle: " +
          face.faceRectangle.top +
          ", " +
          face.faceRectangle.left +
          ", " +
          face.faceRectangle.width +
          ", " +
          face.faceRectangle.height
      );
      console.log("Smile: " + face.faceAttributes.smile);
      console.log("Head pose: " + JSON.stringify(face.faceAttributes.headPose));
      console.log("Gender: " + face.faceAttributes.gender);
      console.log("Age: " + face.faceAttributes.age);
      console.log(
        "Facial hair: " + JSON.stringify(face.faceAttributes.facialHair)
      );
      console.log("Glasses: " + face.faceAttributes.glasses);
      console.log("Smile: " + face.faceAttributes.smile);
      console.log("Emotion: " + JSON.stringify(face.faceAttributes.emotion));
      console.log("Blur: " + JSON.stringify(face.faceAttributes.blur));
      console.log("Exposure: " + JSON.stringify(face.faceAttributes.exposure));
      console.log("Noise: " + JSON.stringify(face.faceAttributes.noise));
      console.log("Makeup: " + JSON.stringify(face.faceAttributes.makeup));
      console.log(
        "Accessories: " + JSON.stringify(face.faceAttributes.accessories)
      );
      console.log("Hair: " + JSON.stringify(face.faceAttributes.hair));
      console.log();
    });
  })
  .catch((err) => {
    throw err;
  });

使用 Axios 面对 API 和 node.js

Face API with node.js using Axios

node.js

axios

face-api

azure-cognitive-services