我已将Flask应用迁移到FastApi应用，并尝试将新的fastapi应用部署为使用Dockerfile运行的coud，但由于端口问题，我遇到了错误。
我已经尝试了所有的解决方案，但没有工作之前，这样的错误，我也尝试了许多不同的方式来编写dockerfile，但我有同样的问题。
最后一次尝试使用FastApi Documentation创建我的docker文件，它也不起作用。

我的Dockerfile：

# Start from the official slim Python base image.
FROM python:3.9-slim

# Set the current working directory to /code.
#This is where we'll put the requirements.txt file and the app directory.
WORKDIR /code

# Copy the file with the requirements to the /code directory.
# Copy only the file with the requirements first, not the rest of the code.
# As this file doesn't change often, Docker will detect it and use the cache for this step, enabling the cache for the next step too.
COPY ./requirements.txt /code/requirements.txt

# Install the package dependencies in the requirements file.
# The --no-cache-dir option tells pip to not save the downloaded packages locally,
# as that is only if pip was going to be run again to install the same packages,
# but that's not the case when working with containers.
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

# As this has all the code which is what changes most frequently the Docker
# cache won't be used for this or any following steps easily
COPY ./app /code/app

# Because the program will be started at /code and inside of it is the directory ./app with your code,
# Uvicorn will be able to see and import app from app.main.
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]

我也试着在main中配置运行端口：

if __name__ == "__main__":
    uvicorn.run("main:app", host="0.0.0.0", port=int(os.environ.get('PORT', 8080)), log_level="info")

我正在使用cloudbuild.yaml文件部署应用程序：

steps:
# Build the container image
- name: 'gcr.io/cloud-builders/docker'
  args: ['build', '-t', 'gcr.io/cog-dev/new-serving', '.']
# Push the container image to Container Registry
- name: 'gcr.io/cloud-builders/docker'
  args: ['push', 'gcr.io/cog-dev/new-serving']
# Deploy container image to Cloud Run
- name: 'gcr.io/google.com/cloudsdktool/cloud-sdk'
  entrypoint: gcloud
  args: ['run', 'deploy', 'new-serving', '--image', 'gcr.io/cog-dev/new-serving', '--region', 'europe-west1', '--allow-unauthenticated', '--platform', 'managed']
# Store images in Google Artifact Registry
images:
- gcr.io/cog-dev/new-serving

在stackoverflow上的大多数解决方案都已经尝试过，甚至改变了端口号

**更新：**执行Use Google Cloud user credentials when testing containers locally后，我在本地测试docker镜像，得到如下错误：

File "/code/./app/endpoints/campaign.py", line 11, in <module>
    from app.services.recommend_service import RecommendService
  File "/code/./app/services/recommend_service.py", line 19, in <module>
    datastore_client = datastore.Client()
  File "/usr/local/lib/python3.9/site-packages/google/cloud/datastore/client.py", line 301, in __init__
    super(Client, self).__init__(
  File "/usr/local/lib/python3.9/site-packages/google/cloud/client/__init__.py", line 320, in __init__
    _ClientProjectMixin.__init__(self, project=project, credentials=credentials)
  File "/usr/local/lib/python3.9/site-packages/google/cloud/client/__init__.py", line 271, in __init__
    raise EnvironmentError(
OSError: Project was not passed and could not be determined from the environment.