@Marvin I have this error but I also don't have this folder name in my project. Where does this come from and keep it short Unexpected exception encountered when trying to load flow Traceback (most recent call last): File "frozen importlib._bootstrap_external", line 995, in exec_module File "frozen importlib._bootstrap_external", line 1132, in get_code File "frozen importlib._bootstrap_external", line 1190, in get_data FileNotFoundError: [Errno 2] No such file or directory: '/opt/prefect/cdcddmain/ prefect.exceptions.ScriptError: Script at '_pipeline.py' encountered an exception: FileNotFoundError(2, 'No such file or directory') 033908 PM ERROR prefect.flow_runs Flow run infrastructure exited with non-zero status code: Task eggplant-pig-zmkbx-task0 failed with message: The container exited with an error. (Error Code: 1)

The error you're encountering indicates that Prefect is trying to access a file or directory at

/opt/prefect/Townhall-main/

, which doesn't exist in your project. This could be due to a misconfiguration in your deployment or environment settings. Here are a few things to check: 1. Deployment Configuration: Ensure that your deployment configuration (e.g., YAML or JSON files) doesn't reference this path. It might be set somewhere inadvertently. 2. Environment Variables: Check if any environment variables related to Prefect are pointing to this directory. 3. Flow Registration: If you've registered your flow with Prefect Cloud or Server, ensure that the path specified during registration matches your current project structure. 4. Docker or Container Config: If you're using Docker or any containerization, verify that the paths inside the container match your project structure. If none of these help, you might want to search through your codebase for any hardcoded paths that could be causing this issue.

@Marvin I couldn't find anything. Where else could it be? How is this created? "/opt/prefect/Townhall-main/"

The path

/opt/prefect/Townhall-main/

seems to be a default or previously set directory where Prefect is trying to execute or load your flow. This path is likely set during the configuration or deployment phase. Here are some potential places to look: 1. Dockerfile or Docker Compose: If you're using Docker, check your Dockerfile or Docker Compose files for any volume mounts or working directory settings that might specify this path. 2. Prefect Deployment Configuration: If you have a Prefect deployment YAML file, check for any entries that might specify this path as the working directory or script location. 3. Environment Configuration: Check any environment setup scripts or CI/CD pipeline configurations that might set this path. 4. Flow Storage: If you're using a storage option like Docker storage or a custom storage class, the path might be hardcoded in the storage configuration. 5. Prefect Agent: If you're running a Prefect agent, ensure that its configuration doesn't specify this path as a base directory for execution. If you're still unable to find where this path is set, consider searching your entire codebase for any references to "Townhall-main" or "/opt/prefect" to locate any lingering configurations.

hi @Court are you using a containerized worker type? if so, how are you packaging your code into your image

I'm containerizing it using docker and sending it to Google Artifact with it being built in Github Actions. It seems to be some sort of problem because my partner and I have been working on it for 3 days. I don't have a clue where the problem could be and why that name is being produced. This is my Github Action file. @Nate

name: Deploy Prefect Flow to Google Cloud Run

on:
  push:
    branches:
      - main

jobs:
  deploy:
    name: Deploy
    runs-on: ubuntu-latest

    steps:
      - name: Checkout
        uses: actions/checkout@v4

      - name: Authenticate with Google Cloud
        uses: google-github-actions/auth@v1
        with:
          credentials_json: ${{ secrets.GCP_SERVICE_ACCOUNT_KEY }}

      - name: Set up Google Cloud SDK
        uses: google-github-actions/setup-gcloud@v1

      - name: Configure Docker to Use Google Artifact Registry
        run: |
          gcloud auth configure-docker ${{ secrets.GCP_REGION }}-docker.pkg.dev

      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v2

      - name: Setup Python
        uses: actions/setup-python@v5
        with:
          python-version: "3.12"

      - name: Prefect Auth
        uses: PrefectHQ/actions-prefect-auth@v1
        with:
          prefect-api-key: ${{ secrets.PREFECT_API_KEY }}
          prefect-workspace: ${{ secrets.PREFECT_WORKSPACE }}

      - name: Build and Push Docker Image to Google Artifact Registry
        run: |
          IMAGE_NAME=${{ secrets.GCP_REGION }}-docker.pkg.dev/${{ secrets.GCP_PROJECT_ID }}/prefect-artifacts/prefect-workers
          docker buildx build --platform=linux/amd64 -t $IMAGE_NAME:latest --push .

      - name: Debug File Structure in Image
        run: |
          IMAGE_NAME=${{ secrets.GCP_REGION }}-docker.pkg.dev/${{ secrets.GCP_PROJECT_ID }}/prefect-artifacts/prefect-workers:latest
          echo "Checking image: $IMAGE_NAME"
          docker run --rm --entrypoint /bin/sh $IMAGE_NAME -c "ls -R /opt/prefect"

      - name: Check Credentials File
        run: |
          ls -la $HOME

      - name: Deploy Prefect Worker to Google Cloud Run
        run: |
          gcloud run deploy prefect-workers \
            --image=${{ secrets.GCP_REGION }}-docker.pkg.dev/${{ secrets.GCP_PROJECT_ID }}/prefect-artifacts/prefect-workers:latest \
            --set-env-vars PREFECT_API_URL=${{ secrets.PREFECT_API_URL }},PREFECT_API_KEY=${{ secrets.PREFECT_API_KEY }} \
            --service-account=${{ secrets.GCP_SERVICE_ACCOUNT }} \
            --no-cpu-throttling \
            --min-instances=1 \
            --max-instances=1 \
            --port=8080 \
            --region=${{ secrets.GCP_REGION }} \
            --args="prefect","worker","start","--install-policy","always","--with-healthcheck","-p","gcp-cloud-run-pool","-t","cloud-run"

It seems there is significant interest in using AWS ECS within the Prefect community, as evidenced by discussions and feature requests on GitHub, such as the proposal for an

EcsTaskRunner

. Azure also appears to be a popular choice, with features supporting Azure Container Instances. While Google Cloud Run is supported, AWS and Azure are widely used among Prefect users. Here are some relevant links for further exploration: - EcsTaskRunner Proposal - AWS Elastic Container Service - Azure Container Instances These discussions and feature implementations suggest a robust community interest in AWS and Azure solutions.

hi @Court what does your deployment definition look like? are you using a git_clone pull step?

The error you're encountering is likely due to Prefect trying to access a file or directory that doesn't exist in your deployment environment. This can happen if the deployment configuration specifies an incorrect path or if the environment doesn't have the expected files. One common cause is a mismatch between the local development environment and the deployment environment, especially if using containers like Docker or ECS. Ensure that the paths in your deployment configuration match the actual paths within the container or cloud environment. For more detailed guidance, you might want to check out this GitHub issue discussing similar errors related to file paths in Prefect deployments.

@Nate I wrote this in another post and I'll just put it here as well. My deployments to Google Artifacts using docker are empty and I receive various types of errors including: "ImportError: cannot import name 'Infrastructure' from 'prefect.infrastructure'" ImportError("cannot import name 'Infrastructure' from 'prefect.infrastructure' (/usr/local/lib/python3.11/site-packages/prefect/infrastructure/__init__.py) The import error is the most recent error. "FileNotFoundError: [Errno 2] No such file or directory: '/opt/prefect/" I read this (https://github.com/PrefectHQ/prefect/issues/10285#issuecomment-2336734132) but still receive that issue when I use the prefect.yaml file to build my docker image from time to time. I'm on version 3.2.7 now.

great to hear! what was the fix?