Artifactory 上传和下载
主要提供python和java对私服Artifactory使用用户和密码或者oken上传和下载功能,
python版本
版本artifactory==0.1.17
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33from artifactory import ArtifactoryPath import tarfile username = "demo" password = "demo" token = "eyJ2ZXIiOi" # Download Artifacts def download(download_url): download_path = ArtifactoryPath(download_url, auth=(username, password)) # download_path = ArtifactoryPath(download_url, auth=(username, token)) with download_path.open() as fd: with open(r"D:downloadtest-tensorflow-gpu.tar", "wb") as out: out.write(fd.read()) # Update Artifacts def upload(upload_url): upload_path = ArtifactoryPath(upload_url, auth=(username, password)) if not upload_path.exists(): upload_path.mkdir() upload_path.deploy_file(r"D:tensorflow-gpu-1.12.0.tar") if __name__ == '__main__': download_url = "http://ip:port/artifactory/test/tensorflow-gpu-1.12.0.tar" download(download_url) upload_url = "http://ip:port/artifactory/test" upload(upload_url)
java版本
版本
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6<dependency> <groupId>org.jfrog.artifactory.client</groupId> <artifactId>artifactory-java-client-services</artifactId> <version>2.8.3</version> </dependency>
基于Token认证下载代码
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9try { Artifactory build = ArtifactoryClientBuilder.create().setUrl(host).setAccessToken(token).build(); InputStream inputStream = build.repository(repoName).download(path).doDownload(); entity.setInputStream(inputStream); } catch (Exception e) { LOG.error("下载失败", e); }
- host:私服地址
- token:身份令牌
- repoName: 私服库名
- path:相对路径
最后
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