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JSON格式Python,Java,PHP等封装图片识别商品数据API方法

发布人:shili8 发布时间:2025-03-13 14:29 阅读次数:0

**商品数据API**

本文将介绍如何使用 JSON 格式的 Python、Java 和 PHP 等语言封装图片识别商品数据 API。

### **Python 实现**

首先,我们需要在 Python 中安装必要的库,包括 `requests` 和 `json`。我们还需要一个用于图片识别的第三方库,如 `easyocr`。

# requirements.txtrequests==2.25.1json==2.0.5easyocr==0.4.0# main.pyimport requestsimport jsonfrom easyocr import Reader, ImageProcessorclass GoodsAPI:
 def __init__(self):
 self.api_key = "YOUR_API_KEY"
 self.base_url = " />
 def recognize_goods(self, image_path):
 # 使用easyocr进行图片识别 reader = Reader(['en'])
 result = reader.readtext(image_path)
 # 将识别结果转换为JSON格式 data = {
 'goods_name': result[0]['text'],
 'confidence': result[0]['confidence']
 }
 return json.dumps(data)

 def get_goods_info(self, goods_id):
 url = f"{self.base_url}/goods/{goods_id}"
 headers = {"Authorization": f"Bearer {self.api_key}"}
 response = requests.get(url, headers=headers)
 if response.status_code ==200:
 return json.loads(response.content)
 else:
 return None# 使用示例api = GoodsAPI()
image_path = "path/to/image.jpg"
goods_id =12345result = api.recognize_goods(image_path)
print(result)

goods_info = api.get_goods_info(goods_id)
print(goods_info)


### **Java 实现**

在 Java 中,我们需要使用 `OkHttp` 库来发送 HTTP 请求,并使用 `Jackson` 库来将 JSON 数据转换为 Java 对象。

java// build.gradledependencies {
 implementation 'com.squareup.ok /> implementation 'com.fasterxml.jackson.core:jackson-databind:2.12.3'
}

// GoodsAPI.javaimport ok />import ok />import ok />
import com.fasterxml.jackson.databind.ObjectMapper;

public class GoodsAPI {
 private static final String API_KEY = "YOUR_API_KEY";
 private static final String BASE_URL = " />
 public String recognizeGoods(String imagePath) throws Exception {
 // 使用easyocr进行图片识别 EasyOCR easyOCR = new EasyOCR();
 Result result = easyOCR.recognize(imagePath);
 // 将识别结果转换为JSON格式 ObjectMapper mapper = new ObjectMapper();
 JsonNode data = mapper.valueToTree(result);
 return mapper.writeValueAsString(data);
 }

 public GoodsInfo getGoodsInfo(int goodsId) throws Exception {
 OkHttpClient client = new OkHttpClient();
 Request request = new Request.Builder()
 .url(BASE_URL + "/goods/" + goodsId)
 .header("Authorization", "Bearer " + API_KEY)
 .build();

 Response response = client.newCall(request).execute();

 if (response.isSuccessful()) {
 ObjectMapper mapper = new ObjectMapper();
 return mapper.readValue(response.body().string(), GoodsInfo.class);
 } else {
 return null;
 }
 }

// 使用示例GoodsAPI api = new GoodsAPI();
String imagePath = "path/to/image.jpg";
int goodsId =12345;

try {
 String result = api.recognizeGoods(imagePath);
 System.out.println(result);

 GoodsInfo goodsInfo = api.getGoodsInfo(goodsId);
 System.out.println(goodsInfo);
} catch (Exception e) {
 e.printStackTrace();
}


### **PHP 实现**

在 PHP 中,我们需要使用 `curl` 库来发送 HTTP 请求,并使用 `json_decode` 函数将 JSON 数据转换为 PHP 对象。

php// GoodsAPI.phpclass GoodsAPI {
 private $apiKey;
 private $baseUrl;

 public function __construct() {
 $this->apiKey = "YOUR_API_KEY";
 $this->baseUrl = " /> }

 public function recognizeGoods($imagePath) {
 // 使用easyocr进行图片识别 $easyOCR = new EasyOCR();
 $result = $easyOCR->recognize($imagePath);
 // 将识别结果转换为JSON格式 $data = json_encode([
 'goods_name' => $result[0]['text'],
 'confidence' => $result[0]['confidence']
 ]);
 return $data;
 }

 public function getGoodsInfo($goodsId) {
 $url = $this->baseUrl . "/goods/" . $goodsId;
 $headers = ["Authorization: Bearer " . $this->apiKey];
 $ch = curl_init($url);
 curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
 curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
 $response = curl_exec($ch);
 if (curl_errno($ch)) {
 return null;
 }
 curl_close($ch);
 if ($response !== false) {
 return json_decode($response, true);
 } else {
 return null;
 }
 }

// 使用示例$api = new GoodsAPI();
$imagePath = "path/to/image.jpg";
$goodsId =12345;

$result = $api->recognizeGoods($imagePath);
echo $result . "
";

$goodsInfo = $api->getGoodsInfo($goodsId);
print_r($goodsInfo);


以上是使用 JSON 格式的 Python、Java 和 PHP 等语言封装图片识别商品数据 API 的示例代码。

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