✅ thought for 93.5 seconds

I'll help you create a complete setup with both a Docker Compose file and a custom Dockerfile for your worker. Here's a solution that includes everything you need: 1. First, create this directory structure:

prefect-server/
├── docker-compose.yml
├── worker/
│   ├── Dockerfile
│   └── requirements.txt

2. Create your `docker-compose.yml`:

yaml
version: '3.8'
services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_USER: prefect
      POSTGRES_PASSWORD: prefect
      POSTGRES_DB: prefect
    volumes:
      - postgres_data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U prefect"]
      interval: 5s
      timeout: 5s
      retries: 5

  server:
    image: prefecthq/prefect:2-latest
    restart: always
    environment:
      - PREFECT_API_URL=<http://127.0.0.1:4200/api>
      - PREFECT_API_DATABASE_CONNECTION_URL=<postgresql+asyncpg://prefect:prefect@postgres:5432/prefect>
    ports:
      - 4200:4200
    depends_on:
      postgres:
        condition: service_healthy
    command: prefect server start --host 0.0.0.0

  worker:
    build:
      context: ./worker
      dockerfile: Dockerfile
    environment:
      - PREFECT_API_URL=<http://server:4200/api>
    depends_on:
      - server

volumes:
  postgres_data:

3. Create your custom worker

Dockerfile

in the

worker

directory:

dockerfile
FROM prefecthq/prefect:2-latest

# Copy requirements file
COPY requirements.txt .

# Install additional dependencies
RUN pip install -r requirements.txt

# Command to start the worker
CMD ["prefect", "worker", "start", "--pool", "default-agent-pool"]

4. Create a

requirements.txt

file in the worker directory with your external libraries:

# Add your required packages here, for example:
pandas
requests
scikit-learn
# ... any other packages you need

To use this setup: 1. Add your required Python packages to

requirements.txt

2. Start everything with:

bash
docker compose up -d

This will: - Start a PostgreSQL database - Launch the Prefect server (accessible at http://localhost:4200) - Build and start your custom worker with all your dependencies Some important notes: 1. The worker service will automatically rebuild when you modify your

requirements.txt

2. You can access the Prefect UI at

<http://localhost:4200>

3. If you need to add more workers or modify the work pool, you can do so through the Prefect UI or CLI 4. Make sure to adjust the

PREFECT_API_URL

in both services if you're deploying this to a different host To customize this further: - Add more environment variables as needed - Modify the worker's work pool name (currently set to "default-agent-pool") - Add volume mounts if you need to persist data - Add more services if needed (like Redis for caching) Let me know if you need to customize any part of this setup or if you have questions about specific configurations!

Let me help you with the Traefik configuration. For proper security and functionality, you'll want to: 1. Use Traefik labels for the external access (UI/API) 2. Configure internal communication appropriately Here's a modified

docker-compose.yml

that includes Traefik labels:

yaml
version: '3.8'
services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_USER: prefect
      POSTGRES_PASSWORD: prefect
      POSTGRES_DB: prefect
    volumes:
      - postgres_data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U prefect"]
      interval: 5s
      timeout: 5s
      retries: 5

  server:
    image: prefecthq/prefect:2-latest
    restart: always
    environment:
      # For internal communication, use the service name
      - PREFECT_API_URL=<http://server:4200/api>
      # For external access, use your domain
      - PREFECT_UI_API_URL=<https://prefect.yourdomain.com/api>
    labels:
      - "traefik.enable=true"
      # HTTP Router for UI
      - "traefik.http.routers.prefect-ui.rule=Host(`<http://prefect.yourdomain.com|prefect.yourdomain.com>`)"
      - "traefik.http.routers.prefect-ui.entrypoints=websecure"
      - "traefik.http.routers.prefect-ui.tls=true"
      - "traefik.http.services.prefect-ui.loadbalancer.server.port=4200"
      # HTTP Router for API (same domain, different path)
      - "traefik.http.routers.prefect-api.rule=Host(`<http://prefect.yourdomain.com|prefect.yourdomain.com>`) && PathPrefix(`/api`)"
      - "traefik.http.routers.prefect-api.entrypoints=websecure"
      - "traefik.http.routers.prefect-api.tls=true"
    depends_on:
      postgres:
        condition: service_healthy
    command: prefect server start --host 0.0.0.0

  worker:
    build:
      context: ./worker
      dockerfile: Dockerfile
    environment:
      # Use internal HTTP URL for worker-to-server communication
      - PREFECT_API_URL=<http://server:4200/api>
    depends_on:
      - server

volumes:
  postgres_data:

Key points about this configuration: 1. Internal Communication: - The worker can use plain

<http://server:4200/api>

for internal communication because: - It's within the Docker network - Docker's internal DNS resolves

server

to the correct service - Internal traffic never leaves the Docker network 2. External Access: - The Traefik labels ensure external access is properly secured via HTTPS - Both UI and API are exposed through the same domain but with different paths - The UI is at

<https://prefect.yourdomain.com>

- The API is at

<https://prefect.yourdomain.com/api>

3. Environment Variables: -

PREFECT_API_URL

for the worker uses the internal URL -

PREFECT_UI_API_URL

for the server uses the external URL (this is what the UI will use to make API calls) Make sure to: 1. Replace

<http://prefect.yourdomain.com|prefect.yourdomain.com>

with your actual domain 2. Ensure Traefik is properly configured with SSL certificates 3. Adjust the entrypoints and TLS settings according to your Traefik setup This configuration maintains security for external access while allowing efficient internal communication. The worker doesn't need Traefik labels because it doesn't need to be accessed from outside the Docker network. Would you like me to provide any specific Traefik configuration details or explain any part of this setup in more detail?

Based on the research and current best practices, I'll recommend the best approach for your setup. For deploying flows from Bitbucket within a container, here's the recommended structure: 1. Use Python Scripts for Deployments (Recommended Approach) This gives you more flexibility and programmatic control. Here's how to structure it:

/worker
├── Dockerfile
├── requirements.txt
└── flows/
    ├── __init__.py
    ├── deployments.py
    ├── flow1/
    │   └── flow1.py
    └── flow2/
        └── flow2.py

Here's an example of how to write your `deployments.py`:

python
from prefect import flow
from prefect.deployments import Deployment
from prefect.filesystems import RemoteFileSystem

# Import your flows
from flows.flow1.flow1 import my_flow1
from flows.flow2.flow2 import my_flow2

def create_deployments():
    # Create a remote filesystem block for Bitbucket
    remote_fs = RemoteFileSystem(
        basepath="<https://bitbucket.org/your-org/your-repo>",
        credentials={"username": "your-username", "password": "your-token"}
    )
    
    # Deploy flow1
    Deployment.build_from_flow(
        flow=my_flow1,
        name="flow1-deployment",
        work_pool_name="your-work-pool",
        path="/flows/flow1/flow1.py",
        storage=remote_fs
    )

    # Deploy flow2
    Deployment.build_from_flow(
        flow=my_flow2,
        name="flow2-deployment",
        work_pool_name="your-work-pool",
        path="/flows/flow2/flow2.py",
        storage=remote_fs
    )

if __name__ == "__main__":
    create_deployments()

2. Alternative: YAML Configuration (If you prefer declarative configuration) Create a

prefect.yaml

file:

yaml
flows:
  - path: ./flows/flow1/flow1.py:my_flow1
    name: flow1-deployment
    work_pool:
      name: your-work-pool
    source:
      type: bitbucket
      repository: your-org/your-repo
      reference: main
      credentials:
        username: ${BITBUCKET_USERNAME}
        password: ${BITBUCKET_TOKEN}

  - path: ./flows/flow2/flow2.py:my_flow2
    name: flow2-deployment
    work_pool:
      name: your-work-pool
    source:
      type: bitbucket
      repository: your-org/your-repo
      reference: main
      credentials:
        username: ${BITBUCKET_USERNAME}
        password: ${BITBUCKET_TOKEN}

3. Modify your Dockerfile to include the deployment process:

dockerfile
FROM prefecthq/prefect:2-latest

# Copy requirements file
COPY requirements.txt .

# Install additional dependencies
RUN pip install -r requirements.txt

# Copy your flows directory
COPY flows/ /opt/prefect/flows/

# Set working directory
WORKDIR /opt/prefect

# If using Python deployment script
CMD ["python", "flows/deployments.py" && "prefect", "worker", "start", "--pool", "your-work-pool"]

# If using YAML
# CMD ["prefect", "deploy", "--all" && "prefect", "worker", "start", "--pool", "your-work-pool"]

Recommendations: 1. Use Python Scripts (Primary Recommendation) because: - More flexible and maintainable - Better version control - Easier to debug - Can include logic and conditions - Better type checking and IDE support 2. Environment Variables Store sensitive information like Bitbucket credentials as environment variables in your docker-compose:

yaml
   worker:
     environment:
       - BITBUCKET_USERNAME=your-username
       - BITBUCKET_TOKEN=your-token

3. Work Pool Configuration Make sure to create your work pool before running the deployments. You can do this via the UI or CLI:

bash
   prefect work-pool create your-work-pool

4. Deployment Updates With this setup, your flows will be automatically deployed when the container starts. To update deployments: - Push changes to Bitbucket - Restart the worker container Would you like me to elaborate on any part of this setup or provide more specific examples for your use case?

Ah, good question! No, you don't need to store the actual flow files locally since you're pulling directly from Bitbucket. Let me help you structure this more efficiently. Let's organize a deployment structure that groups flows by units and allows for sub-deployments. Here's the recommended approach:

/worker
├── Dockerfile
├── requirements.txt
└── flows/
    ├── __init__.py
    ├── deploy_all.py
    ├── enrollment/
    │   └── deployments.py
    ├── admissions/
    │   └── deployments.py
    ├── program_reviews/
    │   └── deployments.py
    └── general/
        └── deployments.py

Here's how to implement this structure: 1. Unit-Specific Deployment Files For example, `flows/enrollment/deployments.py`:

python
from prefect import flow
from prefect.deployments import Deployment

def create_enrollment_deployments():
    # Define the Bitbucket source for enrollment flows
    source = {
        "repository": "<https://bitbucket.org/your-org/your-repo>",
        "reference": "main",  # or specific branch
        "path": "enrollment"  # subfolder in your Bitbucket repo
    }

    # Create deployments for enrollment flows
    deployments = [
        {
            "name": "student-enrollment",
            "entrypoint": "enrollment/student_enrollment.py:student_enrollment_flow",
        },
        {
            "name": "enrollment-reporting",
            "entrypoint": "enrollment/reporting.py:enrollment_reporting_flow",
        },
        # Add more enrollment-related deployments
    ]

    created_deployments = []
    for dep in deployments:
        deployment = Deployment.build_from_flow(
            name=dep["name"],
            entrypoint=dep["entrypoint"],
            work_pool_name="your-work-pool",
            source=source
        )
        created_deployments.append(deployment)
    
    return created_deployments

2. Main Deployment Script Create

flows/deploy_all.py

to manage all units:

python
from prefect import flow
from prefect.filesystems import RemoteFileSystem

# Import deployment creators from each unit
from .enrollment.deployments import create_enrollment_deployments
from .admissions.deployments import create_admissions_deployments
from .program_reviews.deployments import create_program_review_deployments
from .general.deployments import create_general_deployments

def setup_bitbucket_auth():
    # You could set up common Bitbucket authentication here
    # This could be used across all deployments if needed
    return {
        "username": "${BITBUCKET_USERNAME}",
        "password": "${BITBUCKET_TOKEN}"
    }

@flow
def deploy_all_flows():
    """Deploy all flows from all units"""
    
    # Deploy flows from each unit
    all_deployments = []
    
    all_deployments.extend(create_enrollment_deployments())
    all_deployments.extend(create_admissions_deployments())
    all_deployments.extend(create_program_review_deployments())
    all_deployments.extend(create_general_deployments())
    
    return f"Successfully created {len(all_deployments)} deployments"

if __name__ == "__main__":
    deploy_all_flows()

3. Modified Dockerfile

dockerfile
FROM prefecthq/prefect:2-latest

# Copy requirements file
COPY requirements.txt .

# Install additional dependencies
RUN pip install -r requirements.txt

# Copy only the deployment configuration
COPY flows/ /opt/prefect/flows/

# Set working directory
WORKDIR /opt/prefect

# Run deployments and start worker
CMD ["bash", "-c", "python -m flows.deploy_all && prefect worker start --pool your-work-pool"]

4. Bitbucket Repository Structure Your Bitbucket repository should be organized like this:

repository/
├── enrollment/
│   ├── student_enrollment.py
│   └── reporting.py
├── admissions/
│   ├── application_processing.py
│   └── decision_flows.py
├── program_reviews/
│   └── review_flows.py
└── general/
    └── utility_flows.py

Key Benefits of this Structure:

1. Modular Organization: Each unit (enrollment, admissions, etc.) manages its own deployments 2. Easier Maintenance: You can update deployments for one unit without affecting others 3. Clear Separation: The deployment configuration is separate from the actual flow code 4. Flexible Updates: You can easily add new flows to any unit by updating the relevant

deployments.py

file Important Notes: 1. Path References: Make sure your

entrypoint

paths in the deployments match your Bitbucket repository structure 2. Work Pool Configuration: You might want to consider using different work pools for different units:

python
work_pool_name=f"{unit_name}-pool"  # e.g., "enrollment-pool"

3. Environment Variables: In your docker-compose.yml, include:

yaml
worker:
  environment:
    - BITBUCKET_USERNAME=your-username
    - BITBUCKET_TOKEN=your-token
    - PREFECT_API_URL=<http://server:4200/api>

4. Versioning: You can add version control by specifying branches or tags in your source configuration:

python
source = {
    "repository": "<https://bitbucket.org/your-org/your-repo>",
    "reference": "production",  # or staging, development, etc.
    "path": "enrollment"
}

Would you like me to elaborate on any part of this structure or provide more specific examples for any of the units?

Of course! I'd be happy to help update your enrollment deployment. Please share your current deployment code and I can help optimize it according to the best practices we discussed, maintaining your existing logic while improving the structure. Feel free to paste your current enrollment deployment code, and I'll help you update it to the new format while preserving your specific requirements and configurations.

Let me update your code to the current Prefect 3.x format. Here's the modernized version:

python
from prefect import flow
from prefect.deployments import Deployment
from prefect.filesystems import RemoteFileSystem
from prefect.server.schemas.schedules import IntervalSchedule
from datetime import datetime, timedelta

def create_enrollment_deployments():
    # Set up Bitbucket credentials (using existing block)
    source = {
        "repository": "url",  # Your Bitbucket URL
        "credentials": "gsbitbucket",  # Your existing credentials block
        "reference": "main"  # or whatever branch you're using
    }

    # Create deployment for GradApp
    gradapp_deployment = Deployment.build_from_flow(
        flow_name="gradAppFlow",
        name="LoadGradApp",
        path="Enrollment/Gradapp/GradApp.py:gradAppFlow",
        work_pool_name="grad_flow_docker",
        work_queue_name="default",
        tags=["Enrollment"],
        infrastructure_document={
            "type": "docker-container",
            "image": "gs_flows:latest"
        },
        schedule=IntervalSchedule(
            interval=timedelta(days=1),
            anchor_date=datetime(2023, 1, 1, 6, 0),
            timezone="America/Chicago"
        ),
        description="Grad App flow running daily at 6 AM CDT from Bitbucket",
        source=source
    )
    
    return [gradapp_deployment]

if __name__ == "__main__":
    # Create and apply all enrollment deployments
    deployments = create_enrollment_deployments()
    for deployment in deployments:
        deployment.apply()

Key changes and improvements: 1. Modern Structure: Uses the current Prefect 3.x deployment patterns 2. Flexible Design: The

create_enrollment_deployments()

function returns a list, making it easy to add more enrollment-related deployments later 3. Schedule Format: Uses the current

IntervalSchedule

format while maintaining your existing schedule settings 4. Docker Configuration: Explicitly defines the Docker infrastructure settings You can expand this by adding more deployments to the same file. For example, if you have other enrollment-related flows:

python
def create_enrollment_deployments():
    source = {
        "repository": "url",
        "credentials": "gsbitbucket",
        "reference": "main"
    }

    deployments = []

    # GradApp Deployment
    gradapp_deployment = Deployment.build_from_flow(
        flow_name="gradAppFlow",
        name="LoadGradApp",
        path="Enrollment/Gradapp/GradApp.py:gradAppFlow",
        work_pool_name="grad_flow_docker",
        work_queue_name="default",
        tags=["Enrollment"],
        infrastructure_document={
            "type": "docker-container",
            "image": "gs_flows:latest"
        },
        schedule=IntervalSchedule(
            interval=timedelta(days=1),
            anchor_date=datetime(2023, 1, 1, 6, 0),
            timezone="America/Chicago"
        ),
        description="Grad App flow running daily at 6 AM CDT from Bitbucket",
        source=source
    )
    deployments.append(gradapp_deployment)

    # Add additional enrollment deployments here
    # Example:
    # enrollment_stats_deployment = Deployment.build_from_flow(
    #     flow_name="enrollmentStatsFlow",
    #     name="EnrollmentStats",
    #     path="Enrollment/Stats/enrollment_stats.py:enrollment_stats_flow",
    #     ...
    # )
    # deployments.append(enrollment_stats_deployment)

    return deployments

if __name__ == "__main__":
    deployments = create_enrollment_deployments()
    for deployment in deployments:
        deployment.apply()

To use this in your Docker setup: 1. Save this as

flows/enrollment/deployments.py

2. Make sure your

requirements.txt

includes:

prefect>=3.0.0
prefect-bitbucket  # if you're using Bitbucket-specific features

Would you like me to: 1. Add more enrollment-related deployments to this structure? 2. Show how to integrate this with the main deployment script?

3. Modify any of the settings (schedule, work pool, etc.)?

Correct! Since you're already using Bitbucket credential blocks, we can simplify the

deploy_all.py

. Here's the streamlined version:

python
from prefect import flow

# Import deployment creators from each unit
from .enrollment.deployments import create_enrollment_deployments
from .admissions.deployments import create_admissions_deployments
from .program_reviews.deployments import create_program_review_deployments
from .general.deployments import create_general_deployments

@flow(name="deploy-all-flows")
def deploy_all_flows():
    """Deploy all flows from all units"""
    
    deployments = []
    
    # Collect all deployments
    try:
        deployments.extend(create_enrollment_deployments())
        print("✅ Enrollment deployments created successfully")
    except Exception as e:
        print(f"❌ Error creating enrollment deployments: {e}")

    try:
        deployments.extend(create_admissions_deployments())
        print("✅ Admissions deployments created successfully")
    except Exception as e:
        print(f"❌ Error creating admissions deployments: {e}")

    try:
        deployments.extend(create_program_review_deployments())
        print("✅ Program review deployments created successfully")
    except Exception as e:
        print(f"❌ Error creating program review deployments: {e}")

    try:
        deployments.extend(create_general_deployments())
        print("✅ General deployments created successfully")
    except Exception as e:
        print(f"❌ Error creating general deployments: {e}")

    # Apply all deployments
    successful_deployments = 0
    failed_deployments = 0
    
    for deployment in deployments:
        try:
            deployment.apply()
            successful_deployments += 1
            print(f"✅ Successfully deployed: {deployment.name}")
        except Exception as e:
            failed_deployments += 1
            print(f"❌ Failed to deploy {deployment.name}: {e}")

    # Summary
    print("\n=== Deployment Summary ===")
    print(f"Total deployments attempted: {len(deployments)}")
    print(f"Successful deployments: {successful_deployments}")
    print(f"Failed deployments: {failed_deployments}")
    
    return {
        "total": len(deployments),
        "successful": successful_deployments,
        "failed": failed_deployments
    }

if __name__ == "__main__":
    deploy_all_flows()

This version: 1. Removes Redundant Auth: No need for Bitbucket auth setup since it's handled by your credential blocks 2. Adds Error Handling: Each unit's deployments are created in a try-except block 3. Provides Feedback: Clear console output showing which deployments succeeded or failed 4. Includes Summary: Shows total statistics at the end You can run this from your Dockerfile like before:

dockerfile
FROM prefecthq/prefect:2-latest

# Copy requirements file
COPY requirements.txt .

# Install additional dependencies
RUN pip install -r requirements.txt

# Copy only the deployment configuration
COPY flows/ /opt/prefect/flows/

# Set working directory
WORKDIR /opt/prefect

# Run deployments and start worker
CMD ["bash", "-c", "python -m flows.deploy_all && prefect worker start --pool grad_flow_docker"]

And each unit's deployment file (like your enrollment one) would remain focused on just defining its specific deployments. The structure would look like:

/worker
├── Dockerfile
├── requirements.txt
└── flows/
    ├── __init__.py
    ├── deploy_all.py
    ├── enrollment/
    │   ├── __init__.py
    │   └── deployments.py    # Your enrollment deployment code we just updated
    ├── admissions/
    │   ├── __init__.py
    │   └── deployments.py    # Similar structure for admissions
    ├── program_reviews/
    │   ├── __init__.py
    │   └── deployments.py    # Similar structure for program reviews
    └── general/
        ├── __init__.py
        └── deployments.py    # Similar structure for general flows

Each unit's

deployments.py

would follow the pattern we established in your enrollment deployment, just with their specific flows and configurations. Would you like me to: 1. Show an example of one of the other unit's deployment files? 2. Add any additional error handling or logging? 3. Modify the summary output format?

Even though I can't directly check the command, I can tell you the best practices for your setup:

bash
# For first time deployment or to see logs
docker compose up

# For production/background running
docker compose up -d

# If you need to rebuild (e.g., after changing requirements.txt or deployment code)
docker compose up -d --build

A few important things to keep in mind: 1. The first time you run it, you might want to run without

-d

to watch the logs and make sure: - All deployments are created successfully - The worker starts properly - No authentication issues with Bitbucket 2. If you make changes to: -

requirements.txt

- Any deployment code - Dockerfile You'll need to include the

--build

flag to rebuild the container. 3. To check logs after running with `-d`:

bash
docker compose logs -f worker

4. If something goes wrong, you can:

bash
# Stop everything
docker compose down

# Check logs
docker compose logs worker

# Start fresh
docker compose up -d --build

Would you like me to provide any specific troubleshooting steps or explain any other Docker Compose commands that might be useful for managing your deployment?

Ah yes, exactly! You've got it. The way we structured it with the

CMD

in the Dockerfile:

dockerfile
CMD ["bash", "-c", "python -m flows.deploy_all && prefect worker start --pool grad_flow_docker"]

This means every time the container starts (whether from a fresh

docker compose up

or a restart), it will: 1. Run the

deploy_all.py

script first, which: - Creates/updates all your deployments across all units (enrollment, admissions, etc.) - Provides that nice summary output of what was deployed - Automatically handles any updates if you've changed flow configurations 2. Then starts the worker to actually run the flows So yes, you don't need any additional commands! It's all automated as part of the container startup. This is particularly convenient because: - No need to manually run deployment commands - If you update any deployment configurations, just rebuild and restart the container - If the container restarts for any reason, it'll ensure all deployments are up to date before starting the worker The only time you'd need to run additional commands would be if you want to: - Add new flows - Modify existing flow configurations - Change requirements In those cases, you'd just: 1. Make your changes 2.

docker compose up -d --build

And everything else happens automatically! 😊

Ah, I apologize for the outdated code! You're using a newer version of Prefect that has deprecated the

Deployment

class. Let me update your code to use the current method: 1. Update `flows/enrollment/deployments.py`:

python
from prefect import flow
from prefect.server.schemas.schedules import IntervalSchedule
from datetime import datetime, timedelta

def create_enrollment_deployments():
    """Create all enrollment-related deployments"""
    from prefect.flows import load_flow_from_source

    # Load the flow from source
    gradapp_flow = load_flow_from_source(
        source="url",  # Your Bitbucket URL
        entrypoint="Enrollment/Gradapp/GradApp.py:gradAppFlow",
        credentials="gsbitbucket"  # Your existing credentials block
    )

    # Deploy the flow
    gradapp_flow.deploy(
        name="LoadGradApp",
        work_pool_name="grad_flow_docker",
        image="gs_flows:latest",
        tags=["Enrollment"],
        schedule=IntervalSchedule(
            interval=timedelta(days=1),
            anchor_date=datetime(2023, 1, 1, 6, 0),
            timezone="America/Chicago"
        ),
        description="Grad App flow running daily at 6 AM CDT from Bitbucket"
    )

    return ["LoadGradApp"]  # Return list of deployment names for tracking

2. Update `flows/deploy_all.py`:

python
from prefect import flow

# Import deployment creators from each unit
from .enrollment.deployments import create_enrollment_deployments
from .admissions.deployments import create_admissions_deployments
from .program_reviews.deployments import create_program_review_deployments
from .general.deployments import create_general_deployments

@flow(name="deploy-all-flows")
def deploy_all_flows():
    """Deploy all flows from all units"""
    
    all_deployments = []
    
    # Create deployments for each unit
    try:
        enrollment_deps = create_enrollment_deployments()
        all_deployments.extend(enrollment_deps)
        print(f"✅ Created {len(enrollment_deps)} enrollment deployments")
    except Exception as e:
        print(f"❌ Error creating enrollment deployments: {e}")

    try:
        admissions_deps = create_admissions_deployments()
        all_deployments.extend(admissions_deps)
        print(f"✅ Created {len(admissions_deps)} admissions deployments")
    except Exception as e:
        print(f"❌ Error creating admissions deployments: {e}")

    try:
        program_review_deps = create_program_review_deployments()
        all_deployments.extend(program_review_deps)
        print(f"✅ Created {len(program_review_deps)} program review deployments")
    except Exception as e:
        print(f"❌ Error creating program review deployments: {e}")

    try:
        general_deps = create_general_deployments()
        all_deployments.extend(general_deps)
        print(f"✅ Created {len(general_deps)} general deployments")
    except Exception as e:
        print(f"❌ Error creating general deployments: {e}")

    # Summary
    print("\n=== Deployment Summary ===")
    print(f"Total deployments created: {len(all_deployments)}")
    print("Deployments:", ", ".join(all_deployments))
    
    return {
        "total": len(all_deployments),
        "deployments": all_deployments
    }

if __name__ == "__main__":
    deploy_all_flows()

The main changes are: 1. Removed

Deployment

class usage 2. Now using

flow.deploy()

directly 3. Simplified the deployment process 4. Each unit's deployment function now returns a list of deployment names instead of deployment objects Your Dockerfile remains the same:

dockerfile
FROM prefecthq/prefect:2-latest

COPY requirements.txt .
RUN pip install -r requirements.txt

COPY flows/ /opt/prefect/flows/
WORKDIR /opt/prefect

CMD ["bash", "-c", "python -m flows.deploy_all && prefect worker start --pool grad_flow_docker"]

To apply these changes: 1. Update your files with the new code 2. Rebuild and restart:

bash
docker compose up -d --build

This should resolve the error and work with the current Prefect version. Let me know if you see any other errors!

Ah, there's a version mismatch! You're running a Prefect 2.x server but the worker is using Prefect 3.x client. Let's fix this by ensuring we use the correct version in the Dockerfile. Since your server is running Prefect 2.20.18, let's update the worker to match. Here's the corrected Dockerfile:

dockerfile
FROM prefecthq/prefect:2.20.18

COPY requirements.txt .
RUN pip install -r requirements.txt

COPY flows/ /opt/prefect/flows/
WORKDIR /opt/prefect

CMD ["bash", "-c", "python -m flows.deploy_all && prefect worker start --pool grad_flow_docker"]

And let's update your deployment code to use Prefect 2.x syntax: 1. Update `flows/enrollment/deployments.py`:

python
from prefect import flow
from prefect.deployments import Deployment
from prefect.runner.storage import GitRepository
from prefect.schedules import IntervalSchedule
from datetime import datetime, timedelta

def create_enrollment_deployments():
    """Create all enrollment-related deployments"""
    
    # Set up the source
    source = GitRepository(
        url="url",  # Your Bitbucket URL
        credentials="gsbitbucket"  # Your existing credentials block
    )

    # Create deployment
    gradapp_deployment = Deployment.build_from_flow(
        flow_name="gradAppFlow",
        name="LoadGradApp",
        storage=source,
        path="Enrollment/Gradapp/GradApp.py:gradAppFlow",
        work_queue_name="default",
        work_pool_name="grad_flow_docker",
        infrastructure_document={
            "type": "docker-container",
            "image": "gs_flows:latest"
        },
        tags=["Enrollment"],
        schedule=IntervalSchedule(
            interval=timedelta(days=1),
            anchor_date=datetime(2023, 1, 1, 6, 0),
            timezone="America/Chicago"
        ),
        description="Grad App flow running daily at 6 AM CDT from Bitbucket"
    )
    
    # Apply the deployment
    gradapp_deployment.apply()
    
    return ["LoadGradApp"]  # Return list of deployment names for tracking

2. The

deploy_all.py

can remain the same as it's just orchestrating the deployments. 3. Update your

requirements.txt

to pin the Prefect version:

prefect==2.20.18
prefect-bitbucket  # if you're using this

To apply these changes: 1. Stop your current containers:

bash
docker compose down

2. Rebuild with the correct version:

bash
docker compose up -d --build

This should resolve the version mismatch error. The key changes are: 1. Using the exact Prefect version that matches your server (2.20.18) 2. Using Prefect 2.x deployment syntax with

Deployment.build_from_flow()

3. Ensuring all dependencies match the 2.x version Let me know if you see any other errors after making these changes!

You'll need to update your server's docker-compose.yml. Here's how: 1. Update your server's `docker-compose.yml`:

yaml
version: '3.8'
services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_USER: prefect
      POSTGRES_PASSWORD: prefect
      POSTGRES_DB: prefect
    volumes:
      - postgres_data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U prefect"]
      interval: 5s
      timeout: 5s
      retries: 5

  server:
    image: prefecthq/prefect:3.4.8  # Updated to 3.x
    restart: always
    environment:
      - PREFECT_API_URL=<http://127.0.0.1:4200/api>
      - PREFECT_API_DATABASE_CONNECTION_URL=<postgresql+asyncpg://prefect:prefect@postgres:5432/prefect>
    ports:
      - 4200:4200
    depends_on:
      postgres:
        condition: service_healthy
    command: prefect server start --host 0.0.0.0

volumes:
  postgres_data:

2. Then you can keep your worker code in the 3.x format we had before:

python
# flows/enrollment/deployments.py
from prefect import flow
from prefect.server.schemas.schedules import IntervalSchedule
from datetime import datetime, timedelta

def create_enrollment_deployments():
    """Create all enrollment-related deployments"""
    from prefect.flows import load_flow_from_source

    # Load the flow from source
    gradapp_flow = load_flow_from_source(
        source="url",  # Your Bitbucket URL
        entrypoint="Enrollment/Gradapp/GradApp.py:gradAppFlow",
        credentials="gsbitbucket"  # Your existing credentials block
    )

    # Deploy the flow
    gradapp_flow.deploy(
        name="LoadGradApp",
        work_pool_name="grad_flow_docker",
        image="gs_flows:latest",
        tags=["Enrollment"],
        schedule=IntervalSchedule(
            interval=timedelta(days=1),
            anchor_date=datetime(2023, 1, 1, 6, 0),
            timezone="America/Chicago"
        ),
        description="Grad App flow running daily at 6 AM CDT from Bitbucket"
    )

    return ["LoadGradApp"]

3. And keep your worker's Dockerfile using 3.x:

dockerfile
FROM prefecthq/prefect:3.4.8

COPY requirements.txt .
RUN pip install -r requirements.txt

COPY flows/ /opt/prefect/flows/
WORKDIR /opt/prefect

CMD ["bash", "-c", "python -m flows.deploy_all && prefect worker start --pool grad_flow_docker"]

To update: 1. Stop all Prefect services:

bash
docker compose down

2. Back up your PostgreSQL data (just in case):

bash
docker compose exec postgres pg_dump -U prefect prefect > prefect_backup.sql

3. Update your docker-compose files with the new versions 4. Rebuild and start everything:

bash
docker compose up -d --build

Important notes about the upgrade: 1. Make sure to back up any important flow data before upgrading 2. You might need to recreate your work pools after the upgrade 3. The upgrade might require recreating your deployments 4. Make sure all your flows are compatible with Prefect 3.x syntax Would you like me to: 1. Provide more details about any specific part of the upgrade process? 2. Show you how to verify the upgrade was successful? 3. Help with migrating any specific flows or deployments?

I'll create a complete docker-compose.yml with Traefik labels, server, worker, and postgres. Let me make it comprehensive:

yaml
version: '3.8'

services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_USER: prefect
      POSTGRES_PASSWORD: prefect
      POSTGRES_DB: prefect
    volumes:
      - postgres_data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U prefect"]
      interval: 5s
      timeout: 5s
      retries: 5
    networks:
      - prefect-network

  server:
    image: prefecthq/prefect:3.4.8
    restart: always
    environment:
      - PREFECT_API_URL=<http://server:4200/api>  # Internal URL
      - PREFECT_UI_API_URL=<https://prefect.yourdomain.com/api>  # External URL for UI
      - PREFECT_API_DATABASE_CONNECTION_URL=<postgresql+asyncpg://prefect:prefect@postgres:5432/prefect>
    depends_on:
      postgres:
        condition: service_healthy
    command: prefect server start --host 0.0.0.0
    labels:
      - "traefik.enable=true"
      # UI Router
      - "traefik.http.routers.prefect-ui.rule=Host(`<http://prefect.yourdomain.com|prefect.yourdomain.com>`)"
      - "traefik.http.routers.prefect-ui.entrypoints=websecure"
      - "traefik.http.routers.prefect-ui.tls=true"
      - "traefik.http.services.prefect-ui.loadbalancer.server.port=4200"
      # API Router
      - "traefik.http.routers.prefect-api.rule=Host(`<http://prefect.yourdomain.com|prefect.yourdomain.com>`) && PathPrefix(`/api`)"
      - "traefik.http.routers.prefect-api.entrypoints=websecure"
      - "traefik.http.routers.prefect-api.tls=true"
      - "traefik.http.routers.prefect-api.service=prefect-api"
      - "traefik.http.services.prefect-api.loadbalancer.server.port=4200"
    networks:
      - traefik-public
      - prefect-network

  worker:
    build:
      context: ./worker
      dockerfile: Dockerfile
    restart: always
    environment:
      - PREFECT_API_URL=<http://server:4200/api>  # Internal URL
      - BITBUCKET_USERNAME=${BITBUCKET_USERNAME}
      - BITBUCKET_TOKEN=${BITBUCKET_TOKEN}
    depends_on:
      - server
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock  # If you need Docker socket for infrastructure
    networks:
      - prefect-network

networks:
  traefik-public:
    external: true  # Assuming this is your existing Traefik network
  prefect-network:
    name: prefect-network
    driver: bridge

volumes:
  postgres_data:

And here's the corresponding worker Dockerfile for completeness:

dockerfile
FROM prefecthq/prefect:3.4.8

# Install additional system dependencies if needed
# RUN apt-get update && apt-get install -y ...

# Copy requirements file
COPY requirements.txt .

# Install Python dependencies
RUN pip install -r requirements.txt

# Copy your deployment code
COPY flows/ /opt/prefect/flows/

# Set working directory
WORKDIR /opt/prefect

# Start deployments and worker
CMD ["bash", "-c", "python -m flows.deploy_all && prefect worker start --pool grad_flow_docker"]

Key points about this configuration: 1. Networks: - `traefik-public`: External network for Traefik - `prefect-network`: Internal network for Prefect services 2. Environment Variables: - Server uses both internal and external URLs - Worker uses internal URL for communication - Bitbucket credentials are passed as environment variables 3. Traefik Labels: - Separate routes for UI and API - Both secured with TLS - Using websecure entrypoint 4. Volumes: - Persistent PostgreSQL data - Docker socket mounted for worker (if needed for infrastructure) 5. Dependencies: - Worker depends on server - Server depends on postgres - Health checks ensure proper startup order To use this: 1. Create a

.env

file for your secrets:

env
BITBUCKET_USERNAME=your-username
BITBUCKET_TOKEN=your-token

2. Make sure to replace: -

<http://prefect.yourdomain.com|prefect.yourdomain.com>

with your actual domain - Adjust any network names to match your environment - Update any paths or volume mounts as needed 3. Start everything: ```bash

docker compose up -d --build ``` Would you like me to: 1. Explain any specific part of the configuration in more detail? 2. Add any additional security configurations? 3. Show how to configure specific worker settings?

Ah, you're absolutely right! Since you're already using the Bitbucket credentials block (

credentials="gsbitbucket"

) in your deployment code, you don't need to pass those environment variables to the worker container. That was redundant on my part. Here's the corrected docker-compose.yml without those unnecessary environment variables:

yaml
version: '3.8'

services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_USER: prefect
      POSTGRES_PASSWORD: prefect
      POSTGRES_DB: prefect
    volumes:
      - postgres_data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U prefect"]
      interval: 5s
      timeout: 5s
      retries: 5
    networks:
      - prefect-network

  server:
    image: prefecthq/prefect:3.4.8
    restart: always
    environment:
      - PREFECT_API_URL=<http://server:4200/api>  # Internal URL
      - PREFECT_UI_API_URL=<https://prefect.yourdomain.com/api>  # External URL for UI
      - PREFECT_API_DATABASE_CONNECTION_URL=<postgresql+asyncpg://prefect:prefect@postgres:5432/prefect>
    depends_on:
      postgres:
        condition: service_healthy
    command: prefect server start --host 0.0.0.0
    labels:
      - "traefik.enable=true"
      # UI Router
      - "traefik.http.routers.prefect-ui.rule=Host(`<http://prefect.yourdomain.com|prefect.yourdomain.com>`)"
      - "traefik.http.routers.prefect-ui.entrypoints=websecure"
      - "traefik.http.routers.prefect-ui.tls=true"
      - "traefik.http.services.prefect-ui.loadbalancer.server.port=4200"
      # API Router
      - "traefik.http.routers.prefect-api.rule=Host(`<http://prefect.yourdomain.com|prefect.yourdomain.com>`) && PathPrefix(`/api`)"
      - "traefik.http.routers.prefect-api.entrypoints=websecure"
      - "traefik.http.routers.prefect-api.tls=true"
      - "traefik.http.routers.prefect-api.service=prefect-api"
      - "traefik.http.services.prefect-api.loadbalancer.server.port=4200"
    networks:
      - traefik-public
      - prefect-network

  worker:
    build:
      context: ./worker
      dockerfile: Dockerfile
    restart: always
    environment:
      - PREFECT_API_URL=<http://server:4200/api>  # Internal URL
    depends_on:
      - server
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock  # If you need Docker socket for infrastructure
    networks:
      - prefect-network

networks:
  traefik-public:
    external: true  # Assuming this is your existing Traefik network
  prefect-network:
    name: prefect-network
    driver: bridge

volumes:
  postgres_data:

The credentials block you're using in your deployment code (

credentials="gsbitbucket"

) handles the authentication with Bitbucket, so there's no need to pass those credentials again through environment variables. This is actually a better practice because: 1. The credentials are managed through Prefect's block system 2. More secure as the credentials aren't exposed in environment variables 3. Easier to manage and update credentials through Prefect's UI/API Would you like me to explain anything else about the configuration or credential management?

Let me check the actual available tags on Docker Hub for the Prefect image: The issue is with the tag format. Let's modify the docker-compose.yml to use the correct image tag:

yaml
version: '3.8'

services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_USER: prefect
      POSTGRES_PASSWORD: prefect
      POSTGRES_DB: prefect
    volumes:
      - postgres_data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U prefect"]
      interval: 5s
      timeout: 5s
      retries: 5
    networks:
      - prefect-network

  server:
    image: prefecthq/prefect:2-latest  # We'll update this once we confirm the correct 3.x tag
    restart: always
    environment:
      - PREFECT_API_URL=<http://server:4200/api>  # Internal URL
      - PREFECT_UI_API_URL=<https://prefect.yourdomain.com/api>  # External URL for UI
      - PREFECT_API_DATABASE_CONNECTION_URL=<postgresql+asyncpg://prefect:prefect@postgres:5432/prefect>
    depends_on:
      postgres:
        condition: service_healthy
    command: prefect server start --host 0.0.0.0
    labels:
      - "traefik.enable=true"
      # UI Router
      - "traefik.http.routers.prefect-ui.rule=Host(`<http://prefect.yourdomain.com|prefect.yourdomain.com>`)"
      - "traefik.http.routers.prefect-ui.entrypoints=websecure"
      - "traefik.http.routers.prefect-ui.tls=true"
      - "traefik.http.services.prefect-ui.loadbalancer.server.port=4200"
      # API Router
      - "traefik.http.routers.prefect-api.rule=Host(`<http://prefect.yourdomain.com|prefect.yourdomain.com>`) && PathPrefix(`/api`)"
      - "traefik.http.routers.prefect-api.entrypoints=websecure"
      - "traefik.http.routers.prefect-api.tls=true"
      - "traefik.http.routers.prefect-api.service=prefect-api"
      - "traefik.http.services.prefect-api.loadbalancer.server.port=4200"
    networks:
      - traefik-public
      - prefect-network

  worker:
    build:
      context: ./worker
      dockerfile: Dockerfile
    restart: always
    environment:
      - PREFECT_API_URL=<http://server:4200/api>  # Internal URL
    depends_on:
      - server
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock  # If you need Docker socket for infrastructure
    networks:
      - prefect-network

networks:
  traefik-public:
    external: true
  prefect-network:
    name: prefect-network
    driver: bridge

volumes:
  postgres_data:

And update your Dockerfile to match:

dockerfile
FROM prefecthq/prefect:2-latest

# Copy requirements file
COPY requirements.txt .

# Install Python dependencies
RUN pip install -r requirements.txt

# Copy your deployment code
COPY flows/ /opt/prefect/flows/

# Set working directory
WORKDIR /opt/prefect

# Start deployments and worker
CMD ["bash", "-c", "python -m flows.deploy_all && prefect worker start --pool grad_flow_docker"]

For now, I've set it to use

2-latest

while we confirm the correct 3.x tag. Could you try running:

bash
docker pull prefecthq/prefect:2-latest

And let me know if that works? Then we can check what 3.x tags are available by running:

bash
docker search prefecthq/prefect

This will help us identify the correct tag format for version 3. Would you mind running those commands and sharing the output? That way, I can provide you with the exact correct tag to use.

Looking at the results, let's try using the base image tag format. For Prefect 3.x, we should use:

yaml
version: '3.8'

services:
  postgres:
    # ... (same as before)

  server:
    image: prefecthq/prefect:3-latest  # Changed from 3.4.8 to 3-latest
    # ... (rest of server config)

  worker:
    # ... (same as before)

And update your Dockerfile as well:

dockerfile
FROM prefecthq/prefect:3-latest  # Changed from 3.4.8 to 3-latest

# Rest of Dockerfile remains the same
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY flows/ /opt/prefect/flows/
WORKDIR /opt/prefect
CMD ["bash", "-c", "python -m flows.deploy_all && prefect worker start --pool grad_flow_docker"]

The tag format follows the pattern of

{major-version}-latest

, so: - For Prefect 2.x:

2-latest

- For Prefect 3.x:

3-latest

Try rebuilding with these changes:

bash
docker compose down
docker compose up -d --build

This should resolve the "manifest not found" error. The

3-latest

tag will give you the latest stable version of Prefect 3.x. Let me know if you still see any errors!

Let's update your docker-compose.yml with the correct routing configuration for Prefect 3.x:

yaml
version: '3.8'

services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_USER: prefect
      POSTGRES_PASSWORD: prefect
      POSTGRES_DB: prefect
    volumes:
      - postgres_data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U prefect"]
      interval: 5s
      timeout: 5s
      retries: 5
    networks:
      - prefect-network

  server:
    image: prefecthq/prefect:3-latest
    restart: always
    environment:
      # Internal URL for services
      - PREFECT_API_URL=<http://server:4200/api>
      # External URL for UI (important for Traefik routing)
      - PREFECT_UI_API_URL=<https://prefect.yourdomain.com/api>
      - PREFECT_SERVER_API_HOST=0.0.0.0
      - PREFECT_SERVER_API_PORT=4200
      - PREFECT_API_DATABASE_CONNECTION_URL=<postgresql+asyncpg://prefect:prefect@postgres:5432/prefect>
    depends_on:
      postgres:
        condition: service_healthy
    command: prefect server start
    labels:
      - "traefik.enable=true"
      # UI Router
      - "traefik.http.routers.prefect-ui.rule=Host(`<http://prefect.yourdomain.com|prefect.yourdomain.com>`)"
      - "traefik.http.routers.prefect-ui.entrypoints=websecure"
      - "traefik.http.routers.prefect-ui.tls=true"
      - "traefik.http.services.prefect-ui.loadbalancer.server.port=4200"
      # API Router
      - "traefik.http.routers.prefect-api.rule=Host(`<http://prefect.yourdomain.com|prefect.yourdomain.com>`) && PathPrefix(`/api/`)"
      - "traefik.http.routers.prefect-api.entrypoints=websecure"
      - "traefik.http.routers.prefect-api.tls=true"
      - "traefik.http.services.prefect-api.loadbalancer.server.port=4200"
      # Middleware to handle paths
      - "traefik.http.middlewares.prefect-strip-prefix.stripprefix.prefixes=/api"
      - "traefik.http.routers.prefect-api.middlewares=prefect-strip-prefix@docker"
    networks:
      - traefik-public
      - prefect-network

  worker:
    build:
      context: ./worker
      dockerfile: Dockerfile
    restart: always
    environment:
      - PREFECT_API_URL=<http://server:4200/api>
    depends_on:
      - server
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
    networks:
      - prefect-network

networks:
  traefik-public:
    external: true
  prefect-network:
    name: prefect-network
    driver: bridge

volumes:
  postgres_data:

Key changes made: 1. Added explicit server API host and port settings 2. Updated the Traefik labels to handle API path stripping correctly 3. Added middleware for API path handling 4. Ensured proper environment variables for both internal and external URLs To apply these changes: 1. Stop your current setup:

bash
docker compose down

2. Remove any cached images (optional but recommended for clean slate):

bash
docker compose rm -f
docker system prune -f

3. Start everything up again:

bash
docker compose up -d --build

4. Check the logs to ensure everything is starting correctly:

bash
docker compose logs -f server

The UI should now be accessible at

<https://prefect.yourdomain.com>

and the API at

<https://prefect.yourdomain.com/api>

. If you're still having issues, could you: 1. Share any error messages you see in the logs? 2. Confirm if you can access the server directly (without Traefik) at port 4200? 3. Check if there are any Traefik logs showing routing issues?

Ah, there's a PostgreSQL authentication issue. Let's fix the database connection settings. The error indicates that either: 1. The PostgreSQL user/password isn't being set correctly, or 2. The connection isn't waiting for PostgreSQL to be fully ready Here's the corrected docker-compose.yml with more robust PostgreSQL configuration:

yaml
version: '3.8'

services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_USER: prefect
      POSTGRES_PASSWORD: prefect_pass  # Changed password to be more distinct
      POSTGRES_DB: prefect
    volumes:
      - postgres_data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U prefect"]
      interval: 5s
      timeout: 5s
      retries: 5
    networks:
      - prefect-network

  server:
    image: prefecthq/prefect:3-latest
    restart: always
    environment:
      # Database connection
      - PREFECT_API_DATABASE_CONNECTION_URL=<postgresql+asyncpg://prefect:prefect_pass@postgres:5432/prefect>
      # API and UI URLs
      - PREFECT_API_URL=<http://server:4200/api>
      - PREFECT_UI_API_URL=<https://prefect.yourdomain.com/api>
      - PREFECT_SERVER_API_HOST=0.0.0.0
      - PREFECT_SERVER_API_PORT=4200
    depends_on:
      postgres:
        condition: service_healthy
    command: prefect server start
    labels:
      - "traefik.enable=true"
      # UI Router
      - "traefik.http.routers.prefect-ui.rule=Host(`<http://prefect.yourdomain.com|prefect.yourdomain.com>`)"
      - "traefik.http.routers.prefect-ui.entrypoints=websecure"
      - "traefik.http.routers.prefect-ui.tls=true"
      - "traefik.http.services.prefect-ui.loadbalancer.server.port=4200"
      # API Router
      - "traefik.http.routers.prefect-api.rule=Host(`<http://prefect.yourdomain.com|prefect.yourdomain.com>`) && PathPrefix(`/api/`)"
      - "traefik.http.routers.prefect-api.entrypoints=websecure"
      - "traefik.http.routers.prefect-api.tls=true"
      - "traefik.http.services.prefect-api.loadbalancer.server.port=4200"
      # Middleware to handle paths
      - "traefik.http.middlewares.prefect-strip-prefix.stripprefix.prefixes=/api"
      - "traefik.http.routers.prefect-api.middlewares=prefect-strip-prefix@docker"
    networks:
      - traefik-public
      - prefect-network

  worker:
    build:
      context: ./worker
      dockerfile: Dockerfile
    restart: always
    environment:
      - PREFECT_API_URL=<http://server:4200/api>
    depends_on:
      - server
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
    networks:
      - prefect-network

networks:
  traefik-public:
    external: true
  prefect-network:
    name: prefect-network
    driver: bridge

volumes:
  postgres_data:

To apply these changes: 1. First, remove the existing PostgreSQL volume to start fresh:

bash
docker compose down
docker volume rm prefect2_postgres_data  # adjust name if different

2. Start everything up again:

bash
docker compose up -d --build

3. Check the logs to verify the connection:

bash
docker compose logs -f server

Key changes made: 1. Changed PostgreSQL password to be more distinct (

prefect_pass

) 2. Updated the database connection URL to match 3. Made sure the healthcheck is properly configured 4. Ensured proper dependency ordering If you still see issues, we can try: 1. Checking if PostgreSQL is actually initialized with the correct credentials 2. Adding a delay to the server startup 3. Checking if the PostgreSQL container is accessible from the server container Would you like me to show you how to verify any of these aspects?

Let's debug this step by step. First, let's check if we can access the server directly without Traefik. Let's modify the compose file to expose the port directly and simplify things:

yaml
version: '3.8'

services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_USER: prefect
      POSTGRES_PASSWORD: prefect_pass
      POSTGRES_DB: prefect
    volumes:
      - postgres_data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U prefect"]
      interval: 5s
      timeout: 5s
      retries: 5
    networks:
      - prefect-network

  server:
    image: prefecthq/prefect:3-latest
    restart: always
    ports:
      - "4200:4200"  # Expose port directly for testing
    environment:
      - PREFECT_API_DATABASE_CONNECTION_URL=<postgresql+asyncpg://prefect:prefect_pass@postgres:5432/prefect>
      # Simplified URLs for direct access testing
      - PREFECT_API_URL=<http://127.0.0.1:4200/api>
      - PREFECT_UI_API_URL=<http://127.0.0.1:4200/api>
      - PREFECT_SERVER_API_HOST=0.0.0.0
      - PREFECT_SERVER_API_PORT=4200
    depends_on:
      postgres:
        condition: service_healthy
    command: prefect server start
    networks:
      - prefect-network

  worker:
    build:
      context: ./worker
      dockerfile: Dockerfile
    restart: always
    environment:
      - PREFECT_API_URL=<http://server:4200/api>
    depends_on:
      - server
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
    networks:
      - prefect-network

networks:
  prefect-network:
    name: prefect-network
    driver: bridge

volumes:
  postgres_data:

Let's try this first: 1. Stop everything and clean up:

bash
docker compose down
docker volume rm prefect2_postgres_data  # adjust name if different

2. Start just postgres and server (without worker) to debug:

bash
docker compose up postgres server

This will show us the logs directly. Could you run this and share: 1. Can you access http://localhost:4200 directly? 2. What do the logs show now? Once we get the basic connectivity working, we can add back the Traefik configuration. This will help us identify if the issue is with Prefect's configuration or with Traefik routing.

Let's fix the PostgreSQL authentication issue. Since you can access the UI directly, we're making progress. Let's modify just the database-related configurations:

yaml
version: '3.8'

services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_USER: prefect
      POSTGRES_PASSWORD: postgres_password  # Changed password
      POSTGRES_DB: prefect
    volumes:
      - postgres_data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U prefect"]
      interval: 5s
      timeout: 5s
      retries: 5
    networks:
      - prefect-network
    # Add this to verify the database is properly initialized
    command: ["postgres", "-c", "log_statement=all"]

  server:
    image: prefecthq/prefect:3-latest
    restart: always
    ports:
      - "4200:4200"
    environment:
      # Updated database URL to match new password
      - PREFECT_API_DATABASE_CONNECTION_URL=<postgresql+asyncpg://prefect:postgres_password@postgres:5432/prefect>
      - PREFECT_API_URL=<http://127.0.0.1:4200/api>
      - PREFECT_UI_API_URL=<http://127.0.0.1:4200/api>
      - PREFECT_SERVER_API_HOST=0.0.0.0
      - PREFECT_SERVER_API_PORT=4200
    depends_on:
      postgres:
        condition: service_healthy
    command: prefect server start
    networks:
      - prefect-network

  # ... rest of the services remain the same

networks:
  prefect-network:
    name: prefect-network
    driver: bridge

volumes:
  postgres_data:

Let's completely reset everything to ensure a clean state: 1. Stop and remove everything:

bash
docker compose down
docker volume rm prefect2_postgres_data  # adjust volume name if different

2. Let's verify the PostgreSQL setup first. Start just PostgreSQL:

bash
docker compose up postgres -d

3. Test the PostgreSQL connection:

bash
docker compose exec postgres psql -U prefect -d prefect -c "\du"

This should show you the users. If this works, then: 4. Start the server:

bash
docker compose up -d server

5. Check the logs:

bash
docker compose logs -f server

Could you try these steps and let me know: 1. Does the PostgreSQL user verification command work? 2. What do the server logs show now? If we still see issues, we can try: 1. Explicitly creating the database and user 2. Using a different PostgreSQL authentication method 3. Verifying the network connectivity between containers

No need to expose the PostgreSQL port since both services are on the same Docker network, but let's verify the connection details and add some debugging options. Here's the updated compose file:

yaml
version: '3.8'

services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_USER: prefect
      POSTGRES_PASSWORD: postgres_password
      POSTGRES_DB: prefect
      # Add logging for authentication attempts
      POSTGRES_INITDB_ARGS: "--auth-host=scram-sha-256"
      POSTGRES_HOST_AUTH_METHOD: scram-sha-256
    volumes:
      - postgres_data:/var/lib/postgresql/data
      # Add custom pg_hba.conf for more permissive auth during testing
      - ./pg_hba.conf:/var/lib/postgresql/data/pg_hba.conf
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U prefect"]
      interval: 5s
      timeout: 5s
      retries: 5
    networks:
      - prefect-network
    command: ["postgres", "-c", "log_statement=all", "-c", "log_connections=on", "-c", "log_disconnections=on"]

  server:
    image: prefecthq/prefect:3-latest
    restart: always
    ports:
      - "4200:4200"
    environment:
      # Try the simplified URL format
      - PREFECT_API_DATABASE_CONNECTION_URL=<postgresql://prefect:postgres_password@postgres:5432/prefect>
      - PREFECT_API_URL=<http://127.0.0.1:4200/api>
      - PREFECT_UI_API_URL=<http://127.0.0.1:4200/api>
      - PREFECT_SERVER_API_HOST=0.0.0.0
      - PREFECT_SERVER_API_PORT=4200
      # Add debug logging
      - PREFECT_LOGGING_LEVEL=DEBUG
    depends_on:
      postgres:
        condition: service_healthy
    command: prefect server start
    networks:
      - prefect-network

networks:
  prefect-network:
    name: prefect-network
    driver: bridge

volumes:
  postgres_data:

First, create a

pg_hba.conf

file in the same directory as your docker-compose.yml:

conf
# TYPE  DATABASE        USER            ADDRESS                 METHOD
local   all             all                                     trust
host    all             all             127.0.0.1/32           scram-sha-256
host    all             all             ::1/128                scram-sha-256
host    all             all             0.0.0.0/0              scram-sha-256

Then let's try a complete reset: 1. Stop everything:

bash
docker compose down -v

2. Start PostgreSQL alone first:

bash
docker compose up -d postgres

3. Verify PostgreSQL is running and accessible:

bash
# Check postgres logs
docker compose logs postgres

# Try connecting with psql
docker compose exec postgres psql -U prefect -d prefect -c "SELECT version();"

4. If that works, try to connect using the exact connection string that Prefect will use:

bash
docker compose exec postgres psql "<postgresql://prefect:postgres_password@postgres:5432/prefect>" -c "SELECT version();"

5. If both those work, start the server:

bash
docker compose up -d server

6. Check both logs:

bash
# Check postgres logs for connection attempts
docker compose logs postgres

# Check server logs
docker compose logs server

The additional logging we've added should help us see exactly what's happening with the authentication attempts. Could you try these steps and share: 1. Do both PostgreSQL connection tests work? 2. What do you see in the PostgreSQL logs when the server tries to connect? 3. Does the server log show any additional details about the authentication failure?

Let's modify the PostgreSQL configuration to use a specific named volume and data directory. Here's the updated compose file:

yaml
version: '3.8'

services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_USER: prefect
      POSTGRES_PASSWORD: postgres_password
      POSTGRES_DB: prefect
      # Specify a different data directory
      PGDATA: /var/lib/postgresql/data/pgdata
    volumes:
      - prefect_postgres_data:/var/lib/postgresql/data/pgdata
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U prefect"]
      interval: 5s
      timeout: 5s
      retries: 5
    networks:
      - prefect-network
    command: ["postgres", "-c", "log_statement=all", "-c", "log_connections=on", "-c", "log_disconnections=on"]

  server:
    image: prefecthq/prefect:3-latest
    restart: always
    ports:
      - "4200:4200"
    environment:
      - PREFECT_API_DATABASE_CONNECTION_URL=<postgresql://prefect:postgres_password@postgres:5432/prefect>
      - PREFECT_API_URL=<http://127.0.0.1:4200/api>
      - PREFECT_UI_API_URL=<http://127.0.0.1:4200/api>
      - PREFECT_SERVER_API_HOST=0.0.0.0
      - PREFECT_SERVER_API_PORT=4200
      - PREFECT_LOGGING_LEVEL=DEBUG
    depends_on:
      postgres:
        condition: service_healthy
    command: prefect server start
    networks:
      - prefect-network

networks:
  prefect-network:
    name: prefect-network
    driver: bridge

volumes:
  prefect_postgres_data:
    name: prefect_postgres_data  # Explicitly named volume

Let's clean up and start fresh: 1. Remove everything including volumes:

bash
docker compose down -v

2. Remove any existing volumes manually:

bash
docker volume rm prefect_postgres_data

3. Create the volume explicitly:

bash
docker volume create prefect_postgres_data

4. Start everything up:

bash
docker compose up -d

5. Check the logs:

bash
docker compose logs postgres
docker compose logs server

The key changes are: 1. Using a specifically named volume (

prefect_postgres_data

) 2. Setting

PGDATA

to a specific subdirectory 3. Mounting the volume to that specific subdirectory This should prevent any conflicts with other PostgreSQL instances and ensure a clean data directory. Let me know what the logs show now!

Ah, we need to install the PostgreSQL Python adapter (psycopg2) in the server container. Let's modify the server service in the docker-compose.yml to install the required package:

yaml
version: '3.8'

services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_USER: prefect
      POSTGRES_PASSWORD: postgres_password
      POSTGRES_DB: prefect
      PGDATA: /var/lib/postgresql/data/pgdata
    volumes:
      - prefect_postgres_data:/var/lib/postgresql/data/pgdata
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U prefect"]
      interval: 5s
      timeout: 5s
      retries: 5
    networks:
      - prefect-network
    command: ["postgres", "-c", "log_statement=all", "-c", "log_connections=on", "-c", "log_disconnections=on"]

  server:
    image: prefecthq/prefect:3-latest
    restart: always
    ports:
      - "4200:4200"
    environment:
      - PREFECT_API_DATABASE_CONNECTION_URL=<postgresql://prefect:postgres_password@postgres:5432/prefect>
      - PREFECT_API_URL=<http://127.0.0.1:4200/api>
      - PREFECT_UI_API_URL=<http://127.0.0.1:4200/api>
      - PREFECT_SERVER_API_HOST=0.0.0.0
      - PREFECT_SERVER_API_PORT=4200
      - PREFECT_LOGGING_LEVEL=DEBUG
    depends_on:
      postgres:
        condition: service_healthy
    # Add installation of psycopg2-binary before starting the server
    command: >
      bash -c "pip install psycopg2-binary &&
              prefect server start"
    networks:
      - prefect-network

networks:
  prefect-network:
    name: prefect-network
    driver: bridge

volumes:
  prefect_postgres_data:
    name: prefect_postgres_data

The key change is in the server service's command, where we first install

psycopg2-binary

before starting the server. Let's try it again: 1. Stop and remove containers:

bash
docker compose down

2. Build and start everything:

bash
docker compose up -d

3. Check the logs:

bash
docker compose logs -f server

If you prefer a cleaner approach, we could also create a custom Dockerfile for the server that includes psycopg2. Would you like me to show you that alternative approach as well?

Your message was too long, here's your message at the allowed limit: ERROR Traceback (most recent call last) server-1 | File /usr/local/lib/python3 12/site-packages/starlette/routing py line 692 in lifespan server-1 | async with self lifespan_context(app) as maybe_state server-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^ server-1 | File /usr/local/lib/python3 12/contextlib py line 210 in aenter server-1 | return await anext(self gen) server-1 | ^^^^^^^^^^^^^^^^^^^^^ server-1 | File /usr/local/lib/python3 12/site-packages/prefect/server/api/server py line 648 in lifespan server-1 | await run_migrations() server-1 | File /usr/local/lib/python3 12/site-packages/prefect/server/api/server py line 628 in run_migrations server-1 | await db create_db() server-1 | File /usr/local/lib/python3 12/site-packages/prefect/server/database/interface py line 77 in create_db server-1 | await self run_migrations_upgrade() server-1 | File /usr/local/lib/python3 12/site-packages/prefect/server/database/interface py line 85 in run_migrations_upgrade server-1 | await run_sync_in_worker_thread(alembic_upgrade) server-1 | File /usr/local/lib/python3 12/site-packages/prefect/utilities/asyncutils py line 233 in run_sync_in_worker_thread server-1 | result = await <http //anyio to|anyio to>_thread run_sync( server-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ server-1 | File /usr/local/lib/python3 12/site-packages/anyio/to_thread py line 56 in run_sync server-1 | return await get_async_backend() run_sync_in_worker_thread( server-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ server-1 | File /usr/local/lib/python3 12/site-packages/anyio/_backends/_asyncio py line 2470 in run_sync_in_worker_thread server-1 | return await future server-1 | ^^^^^^^^^^^^ server-1 | File /usr/local/lib/python3 12/site-packages/anyio/_backends/_asyncio py line 967 in run server-1 | result = context run(func *args) server-1 | ^^^^^^^^^^^^^^^^^^^^^^^^ server-1 | File /usr/local/lib/python3 12/site-packages/prefect/utilities/asyncutils py line 243 in call_with_mark server-1 | return call() server-1 | ^^^^^^ server-1 | File /usr/local/lib/python3 12/site-packages/prefect/server/database/alembic_commands py line 36 in wrapper server-1 | return fn(*args **kwargs) server-1 | ^^^^^^^^^^^^^^^^^^^ server-1 | File /usr/local/lib/python3 12/site-packages/prefect/server/database/alembic_commands py line 72 in alembic_upgrade server-1 | alembic command upgrade(alembic_config() revision sql=dry_run) server-1 | File /usr/local/lib/python3 12/site-packages/alembic/command py line 483 in upgrade server-1 | script run_env() server-1 | File /usr/local/lib/python3 12/site-packages/alembic/script/base py line 549 in run_env server-1 | util load_python_file(self dir env py ) server-1 | File /usr/local/lib/python3 12/site-packages/alembic/util/pyfiles py line 116 in load_python_file server-1 | module = load_module_py(module_id path) server-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ server-1 | File /usr/local/lib/python3 12/site-packages/alembic/util/pyfiles py line 136 in load_module_py server-1 | spec loader exec_module(module) # type ignore server-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ server-1 | File <frozen importlib _bootstrap_external> line 999 in exec_module server-1 | File <frozen importlib _bootstrap> line 488 in _call_with_frames_removed server-1 | File /usr/local/lib/python3 12/site-packages/prefect/server/database/_migrations/env py line 201 in <module> server-1 | run_async_from_worker_thread(apply_migrations) server-1 | File /usr/local/lib/python3 12/site-packages/prefect/utilities/asyncutils py line 254 in run_async_from_worker_thread server-1 | return anyio from_thread run(call) server-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^ server-1 | File /usr/local/lib/python3 12/site-packages/anyio/from_thread py line 59 in run server-1 | return async_backend run_async_from_thread(func args token=token) server-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ server-1 | File /usr/local/lib/python

3 12/site-packages/anyio/_backends/_asyncio py line 2510 in run_async_from_thread server-1 | return f result() server-1 | ^^^^^^^^^^ server-1 | File /usr/local/lib/python3 12/concurrent/futures/_base py line 456 in result server-1 | return self __get_result() server-1 | ^^^^^^^^^^^^^^^^^^^ server-1 | File /usr/local/lib/python3 12/concurrent/futures/_base py line 401 in __get_result server-1 | raise self _exception server-1 | File /usr/local/lib/python3 12/site-packages/anyio/_backends/_asyncio py line 2497 in task_wrapper server-1 | return await func(*args) server-1 | ^^^^^^^^^^^^^^^^^ server-1 | File /usr/local/lib/python3 12/site-packages/prefect/server/database/_migrations/env py line 186 in apply_migrations server-1 | engine = await db_interface engine() server-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^ server-1 | File /usr/local/lib/python3 12/site-packages/prefect/server/database/interface py line 107 in engine server-1 | engine = await self database_config engine() server-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ server-1 | File /usr/local/lib/python3 12/site-packages/prefect/server/database/configurations py line 294 in engine

Ah, we need to use the async PostgreSQL driver instead! Let's update the configuration to use `asyncpg`:

yaml
version: '3.8'

services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_USER: prefect
      POSTGRES_PASSWORD: postgres_password
      POSTGRES_DB: prefect
      PGDATA: /var/lib/postgresql/data/pgdata
    volumes:
      - prefect_postgres_data:/var/lib/postgresql/data/pgdata
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U prefect"]
      interval: 5s
      timeout: 5s
      retries: 5
    networks:
      - prefect-network
    command: ["postgres", "-c", "log_statement=all", "-c", "log_connections=on", "-c", "log_disconnections=on"]

  server:
    image: prefecthq/prefect:3-latest
    restart: always
    ports:
      - "4200:4200"
    environment:
      # Updated to use asyncpg driver
      - PREFECT_API_DATABASE_CONNECTION_URL=<postgresql+asyncpg://prefect:postgres_password@postgres:5432/prefect>
      - PREFECT_API_URL=<http://127.0.0.1:4200/api>
      - PREFECT_UI_API_URL=<http://127.0.0.1:4200/api>
      - PREFECT_SERVER_API_HOST=0.0.0.0
      - PREFECT_SERVER_API_PORT=4200
      - PREFECT_LOGGING_LEVEL=DEBUG
    depends_on:
      postgres:
        condition: service_healthy
    # Install asyncpg instead of psycopg2
    command: >
      bash -c "pip install asyncpg &&
              prefect server start"
    networks:
      - prefect-network

networks:
  prefect-network:
    name: prefect-network
    driver: bridge

volumes:
  prefect_postgres_data:
    name: prefect_postgres_data

The key changes are: 1. Changed the database URL to use

postgresql+asyncpg://

instead of just

postgresql://

2. Installing

asyncpg

instead of

psycopg2-binary

Let's try again: 1. Stop everything:

bash
docker compose down

2. Start fresh:

bash
docker compose up -d

3. Check the logs:

bash
docker compose logs -f server

This should resolve the async driver error. Let me know what you see in the logs now!

Let's try a different approach by creating a custom Dockerfile for the server to ensure all dependencies are properly installed and configured. This might help us avoid the race conditions and authentication issues: 1. First, create a `server.Dockerfile`:

dockerfile
FROM prefecthq/prefect:3-latest

# Install required packages
RUN pip install asyncpg

# Set environment variables for database connection retries
ENV PGCONNECT_TIMEOUT=10
ENV PGCONNECT_RETRIES=5

2. Update the docker-compose.yml:

yaml
version: '3.8'

services:
  postgres:
    image: postgres:15
    environment:
      POSTGRES_USER: prefect
      POSTGRES_PASSWORD: postgres_password
      POSTGRES_DB: prefect
      PGDATA: /var/lib/postgresql/data/pgdata
    volumes:
      - prefect_postgres_data:/var/lib/postgresql/data/pgdata
      # Add explicit configuration for authentication
      - ./postgresql.conf:/etc/postgresql/postgresql.conf
      - ./pg_hba.conf:/etc/postgresql/pg_hba.conf
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U prefect"]
      interval: 5s
      timeout: 5s
      retries: 5
    networks:
      - prefect-network
    command: postgres -c config_file=/etc/postgresql/postgresql.conf

  server:
    build:
      context: .
      dockerfile: server.Dockerfile
    restart: always
    ports:
      - "4200:4200"
    environment:
      - PREFECT_API_DATABASE_CONNECTION_URL=<postgresql+asyncpg://prefect:postgres_password@postgres:5432/prefect?connect_timeout=10>
      - PREFECT_API_URL=<http://127.0.0.1:4200/api>
      - PREFECT_UI_API_URL=<http://127.0.0.1:4200/api>
      - PREFECT_SERVER_API_HOST=0.0.0.0
      - PREFECT_SERVER_API_PORT=4200
      - PREFECT_LOGGING_LEVEL=DEBUG
    depends_on:
      postgres:
        condition: service_healthy
    command: prefect server start
    networks:
      - prefect-network

networks:
  prefect-network:
    name: prefect-network
    driver: bridge

volumes:
  prefect_postgres_data:
    name: prefect_postgres_data

3. Create a

pg_hba.conf

file:

# TYPE  DATABASE        USER            ADDRESS                 METHOD
local   all             all                                     trust
host    all             all             127.0.0.1/32           md5
host    all             all             ::1/128                md5
host    all             all             0.0.0.0/0              md5
host    all             all             172.16.0.0/12          md5

4. Create a

postgresql.conf

file:

listen_addresses = '*'
max_connections = 100
shared_buffers = 128MB
dynamic_shared_memory_type = posix
log_destination = 'stderr'
logging_collector = on
log_directory = 'log'
log_filename = 'postgresql-%Y-%m-%d_%H%M%S.log'
log_statement = 'all'
log_connections = on
log_disconnections = on

Now let's try a complete reset: 1. Clean everything:

bash
docker compose down -v
docker volume rm prefect_postgres_data

2. Create the volume:

bash
docker volume create prefect_postgres_data

3. Build and start:

bash
docker compose up -d --build

4. Check the logs:

bash
# Check postgres initialization
docker compose logs postgres

# Check server logs
docker compose logs server

The key changes in this approach: 1. Custom server Dockerfile with pre-installed dependencies 2. Explicit PostgreSQL configuration files 3. More detailed logging 4. Connection timeout and retry settings 5. Explicit authentication method configuration Let me know what the logs show with this setup!

you could use coolify to self-host