代码示例 - 多语言压缩代码
按语言和场景分类的压缩API代码示例,覆盖Python、Node.js、Java、Go、curl,附带AI数据预处理、批量回调、加密压缩等最佳实践
Python 示例
使用 requests 库调用压缩API,支持单文件、批量与异步三种模式
单文件压缩
import requests
resp = requests.post(
"https://api.uglypear.com/v1/compress",
headers={"Authorization": "Bearer YOUR_API_KEY"},
files={"file": open("input.pdf", "rb")},
data={"quality": "high"}
)
print(resp.json())
批量压缩
import requests
files = [("files", open(f, "rb")) for f in ["a.pdf", "b.pdf", "c.pdf"]]
resp = requests.post(
"https://api.uglypear.com/v1/batch/compress",
headers={"Authorization": "Bearer YOUR_API_KEY"},
files=files,
data={"quality": "medium", "callback_url": "https://yourapp.com/callback"}
)
print(resp.json())
异步压缩
import asyncio
import aiohttp
async def compress(path):
async with aiohttp.ClientSession() as session:
with open(path, "rb") as f:
data = aiohttp.FormData()
data.add_field("file", f)
data.add_field("quality", "high")
async with session.post(
"https://api.uglypear.com/v1/compress",
headers={"Authorization": "Bearer YOUR_API_KEY"},
data=data
) as resp:
return await resp.json()
asyncio.run(compress("input.pdf"))
Node.js 示例
使用 axios + form-data 实现流式上传与批量处理
流式压缩
const fs = require("fs");
const FormData = require("form-data");
const axios = require("axios");
const form = new FormData();
form.append("file", fs.createReadStream("input.pdf"));
form.append("quality", "high");
axios.post("https://api.uglypear.com/v1/compress", form, {
headers: {
...form.getHeaders(),
Authorization: "Bearer YOUR_API_KEY"
}
}).then(res => console.log(res.data));
批量处理
const fs = require("fs");
const FormData = require("form-data");
const axios = require("axios");
const form = new FormData();
["a.pdf", "b.pdf", "c.pdf"].forEach(f =>
form.append("files", fs.createReadStream(f))
);
form.append("quality", "medium");
axios.post("https://api.uglypear.com/v1/batch/compress", form, {
headers: { ...form.getHeaders(), Authorization: "Bearer YOUR_API_KEY" }
}).then(res => console.log(res.data));
Java 示例
使用 OkHttp 发起 multipart 上传压缩请求
OkHttpClient client = new OkHttpClient();
RequestBody body = new MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("file", "input.pdf",
RequestBody.create(new File("input.pdf"),
MediaType.parse("application/pdf")))
.addFormDataPart("quality", "high")
.build();
Request request = new Request.Builder()
.url("https://api.uglypear.com/v1/compress")
.header("Authorization", "Bearer YOUR_API_KEY")
.post(body)
.build();
try (Response response = client.newCall(request).execute()) {
System.out.println(response.body().string());
}
Go 示例
使用标准库 net/http 与 mime/multipart 构建请求
package main
import (
"bytes"
"io"
"mime/multipart"
"net/http"
"os"
)
func main() {
file, _ := os.Open("input.pdf")
defer file.Close()
var buf bytes.Buffer
writer := multipart.NewWriter(&buf)
part, _ := writer.CreateFormFile("file", "input.pdf")
io.Copy(part, file)
writer.WriteField("quality", "high")
writer.Close()
req, _ := http.NewRequest("POST",
"https://api.uglypear.com/v1/compress", &buf)
req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
req.Header.Set("Content-Type", writer.FormDataContentType())
resp, _ := http.DefaultClient.Do(req)
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
println(string(body))
}
curl 示例
命令行快速调用压缩API,适合脚本与自动化测试
curl -X POST https://api.uglypear.com/v1/compress \
-H "Authorization: Bearer YOUR_API_KEY" \
-F "file=@input.pdf" \
-F "quality=high"
按场景分类的最佳实践
针对典型业务场景的推荐集成方式
AI数据预处理管道集成
在数据入库前调用压缩API对文档/图像预处理,降低存储占用,再按需解压供模型训练使用,加速读取链路。
# 管道集成:入库前压缩
result = comp.compress_file("dataset/doc.pdf", quality="high")
upload_to_storage(result.output_path)
批量压缩+回调通知
批量接口异步处理,任务完成后向 callback_url 推送结果,避免长连接等待。
resp = requests.post(
"https://api.uglypear.com/v1/batch/compress",
headers={"Authorization": "Bearer YOUR_API_KEY"},
files=files,
data={"callback_url": "https://yourapp.com/callback"}
)
带密码的加密压缩
对敏感文件附加 password 参数,服务端加密压缩,保障传输与存储安全。
curl -X POST https://api.uglypear.com/v1/compress \
-H "Authorization: Bearer YOUR_API_KEY" \
-F "file=@input.pdf" \
-F "password=YourStrongPass"
大文件分块上传压缩
对超大文件先分块上传,再触发整体压缩,避免单次请求超时,提升成功率。
// 分块上传 + 触发压缩
for (const chunk of chunks) {
await uploadChunk(chunk);
}
await axios.post("https://api.uglypear.com/v1/compress",
{ upload_id, quality: "high" }, { headers });
GitHub 仓库
更多完整示例项目即将开源
uglypear-compressor-examples
包含 Python、Node.js、Java、Go、curl 完整可运行示例项目,即将开源。如需提前获取,请联系技术支持。
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