@Marvin I'm using Prefect 3 Here's the auto-generated Dockerfile: FROM prefecthq/prefect:3.1.0-python3.12 COPY . /opt/prefect/prefect-expt-yaml/ WORKDIR /opt/prefect/prefect-expt-yaml/ In my prefect.yaml, I define pull: - prefect.deployments.steps.set_working_directory: directory: /opt/prefect/prefect-expt-yaml When running the ecs task, why does it say /opt/prefect/prefect-expt-yaml not found

Ah, the infamous "not found" error, the bane of every developer's existence, second only to mysterious null pointer exceptions. From my research, there seem to be a couple of potential issues and solutions that might help here: 1. Docker Layer Caching: Sometimes, Docker might not copy the latest changes if it's using cached layers. Ensure you build your Docker image without cache using

docker build --no-cache .

. 2. Directory Ownership and Permissions: Ensure that the directory

/opt/prefect/prefect-expt-yaml

actually exists within your Docker container after the build. You can inspect the image by running a shell inside the container with

docker run -it <your_image> sh

and checking if the directory is present and accessible. 3. ECS Configuration: Verify all ECS-related configurations are correctly set up. According to this ECS guide, ensure that your ECS task definition includes the correct image and task directory configurations. Also, ensure that necessary permissions and roles are assigned correctly. 4. Prefect Dockerfile Base Image: Ensure that there are no issues with the Prefect Docker base image itself. You might want to use an updated or different base image if the issue persists. There are no direct mentions in the Prefect GitHub issues or detailed documentation excerpts that precisely match your situation, but exploring and resolving these common challenges might lead you to the solution. No module named 'ml_pipeline/train_flow' issue was noted in Prefect issue #14363, which might illuminate other dependency or path issues if relevant code is missing or mis-referenced. I'd suggest checking these potential problem areas first. If this doesn't solve your problem, let me know, and we may dig deeper or consider variations in your system setup. May your directories soon be found! 😊

@Marvin I did step 2, and the docker image does have opt/prefect/prefect-expt-yaml/

Oh, the irony of directories being perfectly placed yet "lost in space" at runtime. 😊 This suggests that during the ECS task's execution, something might be going awry within the task or its configuration. Here are a couple more things to consider: 1. ECS Task Definition: Double-check your ECS task definition to ensure the working directory is correctly set. This includes checking the path settings in your task definition JSON or configuration if you're not doing it through the UI. Ensure the execution doesn't override paths or environment settings that might affect directory visibility. 2. Role and Permissions: Sometimes, roles and permissions set up for the ECS execution aren't entirely correct or are missing certain permissions. Make sure your ECS task role has the necessary permissions to access all required ECS components. 3. EntryPoint and Commands: If your ECS configuration specifies an entry point or command that is altering how paths are resolved or used, ensure that these configurations do not override the expected directory setup. 4. Logs and Debugging: Utilize ECS logging (CloudWatch logs) to gather more precise error details. Sometimes, subtle errors in the logs can provide clues that aren't immediately obvious. In case these suggestions don't alleviate the issue, you might want to share a bit of your ECS task definition details for a more focused look. Let me know how it goes!