Stack trace: /usr/local/lib/python3.7/site-packages/dagster/_core/workspace/context.py586 UserWarning: Error loading repository location example_user_codedagster. core.errors.DagsterUserCodeUnreachableError Could not reach user code server. gRPC Error code: UNAVAILABLE docker_example_dagit | docker_example_dagit | Stack Trace: docker_example_dagit | File "/usr/local/lib/python3.7/site-packages/dagster/_core/workspace/context.py", line 581, in _load_location docker_example_dagit | location = self._create_location_from_origin(origin) docker_example_dagit | File "/usr/local/lib/python3.7/site-packages/dagster/_core/workspace/context.py", line 501, in _create_location_from_origin docker_example_dagit | return origin.create_location() docker_example_dagit | File "/usr/local/lib/python3.7/site-packages/dagster/_core/host_representation/origin.py", line 331, in create_location docker_example_dagit | return GrpcServerRepositoryLocation(self) docker_example_dagit | File "/usr/local/lib/python3.7/site-packages/dagster/_core/host_representation/repository_location.py", line 575, in init docker_example_dagit | list_repositories_response = sync_list_repositories_grpc(self.client) docker_example_dagit | File "/usr/local/lib/python3.7/site-packages/dagster/_api/list_repositories.py", line 19, in sync_list_repositories_grpc docker_example_dagit | api_client.list_repositories(), docker_example_dagit | File "/usr/local/lib/python3.7/site-packages/dagster/_grpc/client.py", line 230, in list_repositories docker_example_dagit | res = self._query("ListRepositories", api_pb2.ListRepositoriesRequest) docker_example_dagit | File "/usr/local/lib/python3.7/site-packages/dagster/_grpc/client.py", line 157, in _query docker_example_dagit | e, timeout=timeout, custom_timeout_message=custom_timeout_message docker_example_dagit | File "/usr/local/lib/python3.7/site-packages/dagster/_grpc/client.py", line 141, in _raise_grpc_exception docker_example_dagit | ) from e docker_example_dagit | docker_example_dagit | The above exception was caused by the following exception: docker_example_dagit | grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC that terminated with: docker_example_dagit | status = StatusCode.UNAVAILABLE docker_example_dagit | details = "failed to connect to all addresses" docker_example_dagit | debug_error_string = "{"created":"@1674117761.666041800","description":"Failed to pick subchannel","file":"src/core/ext/filters/client_channel/client_channel.cc","file_line":3260,"referenced_errors":[{"created":"@1674117761.666041200","description":"failed to connect to all addresses","file":"src/core/lib/transport/error_utils.cc","file_line":167,"grpc_status":14}]}" docker_example_dagit | > docker_example_dagit | docker_example_dagit | Stack Trace: docker_example_dagit | File "/usr/local/lib/python3.7/site-packages/dagster/_grpc/client.py", line 154, in _query docker_example_dagit | return self._get_response(method, request=request_type(**kwargs), timeout=timeout) docker_example_dagit | File "/usr/local/lib/python3.7/site-packages/dagster/_grpc/client.py", line 129, in _get_response docker_example_dagit | return getattr(stub, method)(request, metadata=self._metadata, timeout=timeout) docker_example_dagit | File "/usr/local/lib/python3.7/site-packages/grpc/_channel.py", line 946, in call docker_example_dagit | return _end_unary_response_blocking(state, call, False, None) docker_example_dagit | File "/usr/local/lib/python3.7/site-packages/grpc/_channel.py", line 849, in _end_unary_response_blocking docker_example_dagit | raise _InactiveRpcError(state) docker_example_dagit | docker_example_dagit | location_name=location_name, error_string=error.to_string()

FROM python:3.7-slim

ENV ACCEPT_EULA=Y RUN apt-get update -y && apt-get update \ && apt-get install -y --no-install-recommends curl gcc g++ gnupg unixodbc-dev unixodbc # Add SQL Server ODBC Driver 17 for Ubuntu 18.04 RUN curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add - \ && curl https://packages.microsoft.com/config/debian/10/prod.list > /etc/apt/sources.list.d/mssql-release.list \ && apt-get update \ && apt-get install -y --no-install-recommends --allow-unauthenticated msodbcsql17 mssql-tools \ && echo 'export PATH="$PATH:/opt/mssql-tools/bin"' >> ~/.bash_profile \ && echo 'export PATH="$PATH:/opt/mssql-tools/bin"' >> ~/.bashrc COPY requirements.txt requirements.txt RUN pip3 install -r requirements.txt # Set $DAGSTER_HOME and copy dagster instance there ENV DAGSTER_HOME=/opt/dagster/dagster_home RUN mkdir -p $DAGSTER_HOME COPY dagster.yaml $DAGSTER_HOME # Add repository code WORKDIR /opt/dagster/app COPY repo.py /opt/dagster/app # Run dagster gRPC server on port 4000 EXPOSE 4000 # CMD allows this to be overridden from run launchers or executors that want # to run other commands against your repository CMD ["dagster", "api", "grpc", "-h", "0.0.0.0", "-p", "4000", "-f", "repo.py"]

I am using this docker-compose file to run Dagster locally (including a postgres database):

version: '3.7'

services:

# This service runs the postgres DB used by dagster for run storage, schedule storage,

# and event log storage.

docker_example_postgresql:

image: postgres:11

container_name: docker_example_postgresql

environment:

POSTGRES_USER: "postgres_user"

POSTGRES_PASSWORD: "postgres_password"

POSTGRES_DB: "postgres_db"

networks:

- docker_example_network

# This service runs the gRPC server that loads your user code, in both dagit

# and dagster-daemon. By setting DAGSTER_CURRENT_IMAGE to its own image, we tell the

# run launcher to use this same image when launching runs in a new container as well.

# Multiple containers like this can be deployed separately - each just needs to run on

# its own port, and have its own entry in the workspace.yaml file that's loaded by dagit.

docker_example_user_code:

build:

context: .

dockerfile: ./Dockerfile_user_code-dev

container_name: docker_example_user_code

image: docker_example_user_code_image

restart: always

environment:

DAGSTER_POSTGRES_USER: "postgres_user"

DAGSTER_POSTGRES_PASSWORD: "postgres_password"

DAGSTER_POSTGRES_DB: "postgres_db"

DAGSTER_CURRENT_IMAGE: "docker_example_user_code_image"

networks:

- docker_example_network

# This service runs dagit, which loads your user code from the user code container.

# Since our instance uses the QueuedRunCoordinator, any runs submitted from dagit will be put on

# a queue and later dequeued and launched by dagster-daemon.

docker_example_dagit:

build:

context: .

dockerfile: ./Dockerfile_dagster-dev

entrypoint:

- dagit

- -h

- "0.0.0.0"

- -p

- "3000"

- -w

- workspace.yaml

container_name: docker_example_dagit

expose:

- "3000"

ports:

- "3000:3000"

environment:

DAGSTER_POSTGRES_USER: "postgres_user"

DAGSTER_POSTGRES_PASSWORD: "postgres_password"

DAGSTER_POSTGRES_DB: "postgres_db"

volumes: # Make docker client accessible so we can terminate containers from dagit

- /var/run/docker.sock:/var/run/docker.sock

- /tmp/io_manager_storage:/tmp/io_manager_storage

networks:

- docker_example_network

depends_on:

- docker_example_postgresql

- docker_example_user_code

# This service runs the dagster-daemon process, which is responsible for taking runs

# off of the queue and launching them, as well as creating runs from schedules or sensors.

docker_example_daemon:

build:

context: .

dockerfile: ./Dockerfile_dagster-dev

entrypoint:

- dagster-daemon

- run

container_name: docker_example_daemon

restart: on-failure

environment:

DAGSTER_POSTGRES_USER: "postgres_user"

DAGSTER_POSTGRES_PASSWORD: "postgres_password"

DAGSTER_POSTGRES_DB: "postgres_db"

volumes: # Make docker client accessible so we can launch containers using host docker

- /var/run/docker.sock:/var/run/docker.sock

- /tmp/io_manager_storage:/tmp/io_manager_storage

networks:

- docker_example_network

depends_on:

- docker_example_postgresql

- docker_example_user_code

networks:

docker_example_network:

driver: bridge

name: docker_example_network

This is the original error: /usr/local/lib/python3.7/site-packages/dagster/_core/workspace/context.py586 UserWarning: Error loading repository location repo.pyFileNotFoundError [Errno 2] No such file or directory: '/opt/dagster/dagster_home/repo.py'

The last error was my fault. A space missing in workspace.yaml... Apologies for the inconvenience

I am referring to this part of your Dockerfile:

WORKDIR /opt/dagster/app

COPY repo.py /opt/dagster/app

# Run dagster gRPC server on port 4000

EXPOSE 4000

# CMD allows this to be overridden from run launchers or executors that want

# to run other commands against your repository

CMD ["dagster", "api", "grpc", "-h", "0.0.0.0", "-p", "4000", "-f", "repo.py"]

I think it's because you are manually setting $DAGSTER_HOME, as I said I don't do this in my Dockerfile (for the user deployment code). Mine looks like this:

FROM python:3.7-slim

# Checkout and install dagster libraries needed to run the gRPC server

# exposing your repository to dagit and dagster-daemon, and to load the DagsterInstance

COPY requirements-user-code.txt requirements-user-code.txt

RUN pip install -r requirements-user-code.txt

WORKDIR /opt/dagster/app

ENV PLATFORM_ENVIRONMENT=DEV

COPY dagster_src /opt/dagster/app/dagster_src

# Run dagster gRPC server on port 4000

EXPOSE 4000

# CMD allows this to be overridden from run launchers or executors that want

# to run other commands against your repository

CMD ["dagster", "api", "grpc", "-h", "0.0.0.0", "-p", "4000", "-f", "dagster_src/repo.py"]