generic::invalid_argument：无效构建：无效图像名称“us.gcr.io/.../...无法解析参考：us.gcr.io/..../

Question

我尝试在推送到 github 时自动部署容器，我在 GCP 上启用了该功能，但它不起作用，并且在触发时会抱怨：

generic::invalid_argument: invalid build: invalid image name "us.gcr.io/cifar-clf/CIFAR-10_classification/cifar-clf:f2d5c55fad600b733fc5bcc84550fdd9a325b05b": could not parse reference: us.gcr.io/cifar-clf/CIFAR-10_classification/cifar-clf:f2d5c55fad600b733fc5bcc84550fdd9a325b05b

Dockerfile（在项目的根目录中）：

FROM python:3.8

ENV APP_HOME /app
WORKDIR $APP_HOME

COPY . ./

RUN pip install -r requirements.txt

EXPOSE 8080

CMD python app.py

但我得到了上面的错误。

对于顺序部署，它可以很好地使用：

• 使用 Google Cloud Build 提交构建

gcloud builds submit --tag gcr.io/cifar-clf/cifar-clf --project=cifar-clf

• 部署容器

gcloud run deploy --image gcr.io/cifar-clf/cifar-clf --platform managed --project=cifar-clf --allow-unauthenticated

任何帮助或建议将不胜感激，谢谢大家！

Answer 1

图像引用的命名组件仅允许使用分发实现中的小写字符：

// alphaNumericRegexp defines the alpha numeric atom, typically a
// component of names. This only allows lower case characters and digits.
alphaNumericRegexp = match(`[a-z0-9]+`)

// separatorRegexp defines the separators allowed to be embedded in name
// components. This allow one period, one or two underscore and multiple
// dashes. Repeated dashes and underscores are intentionally treated
// differently. In order to support valid hostnames as name components,
// supporting repeated dash was added. Additionally double underscore is
// now allowed as a separator to loosen the restriction for previously
// supported names.
separatorRegexp = match(`(?:[._]|__|[-]*)`)

// nameComponentRegexp restricts registry path component names to start
// with at least one letter or number, with following parts able to be
// separated by one period, one or two underscore and multiple dashes.
nameComponentRegexp = expression(
    alphaNumericRegexp,
    optional(repeated(separatorRegexp, alphaNumericRegexp)))

所以你应该改变：

us.gcr.io/cifar-clf/CIFAR-10_classification/cifar-clf:f2d5c55fad600b733fc5bcc84550fdd9a325b05b

到：

us.gcr.io/cifar-clf/cifar-10_classification/cifar-clf:f2d5c55fad600b733fc5bcc84550fdd9a325b05b