<@ULVA73B9P> this is my file structure . └── src ...
# ask-marvin
m
@Marvin this is my file structure . └── src ├── Dockerfile.prefect_server ├── Dockerfile.prefect_worker ├── docker-compose.yml ├── flow │ └── test_flow.py ├── prefect.yaml └── requirements.txt in order to deploy below flow , i need prefect.yml and , how to incoperate it to docker files or docker compose from prefect import flow, task import httpx @task(retries=2) def get_cat_fact(): """A simple task to fetch a cat fact.""" url = "https://catfact.ninja/fact" with httpx.Client() as client: response = client.get(url) response.raise_for_status() fact = response.json()["fact"] print(f"Cat Fact: {fact}") return fact @flow(name="Cat Fact Flow", log_prints=True) def cat_fact_flow(): """ A flow that fetches a cat fact and prints it. This flow will be run by our Prefect worker. """ print("Starting the cat fact flow!") get_cat_fact() print("Flow finished successfully.") if name == "__main__": cat_fact_flow()
m
thought for 65.5 seconds
I apologize - I need to revise my previous answer as it was based on Prefect 2.x. Let me provide you with the correct Prefect 3.x setup: 1. You don't actually need a
prefect.yaml
file in Prefect 3.x. Instead, you'll handle deployment configuration in Python. Create a
deployment.py
file in your
src
directory:
Copy code
python
# src/deployment.py
from prefect import serve
from flow.test_flow import cat_fact_flow

if __name__ == "__main__":
    cat_fact_flow.deploy(
        name="cat-fact-deployment",
        work_pool_name="cat-facts-pool",
        image="cat-facts-image:latest"
    )
2. Update your `docker-compose.yml`:
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yaml
version: '3.8'
services:
  prefect_server:
    build:
      context: .
      dockerfile: Dockerfile.prefect_server
    ports:
      - "4200:4200"
    environment:
      - PREFECT_SERVER_API_HOST=0.0.0.0
      - PREFECT_SERVER_API_PORT=4200

  prefect_worker:
    build:
      context: .
      dockerfile: Dockerfile.prefect_worker
    environment:
      - PREFECT_API_URL=<http://prefect_server:4200/api>
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
    depends_on:
      - prefect_server
3. Update `Dockerfile.prefect_worker`:
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dockerfile
FROM prefecthq/prefect:2-python3.10

WORKDIR /app

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

# Add httpx to requirements.txt or install it here
RUN pip install httpx

CMD ["prefect", "worker", "start", "--pool", "cat-facts-pool", "--type", "docker"]
4. Create a Dockerfile for your flow (let's call it
Dockerfile.flow
):
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dockerfile
FROM prefecthq/prefect:2-python3.10

WORKDIR /app

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

COPY flow/ /app/flow/

CMD ["python", "flow/test_flow.py"]
5. Update your `requirements.txt`:
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prefect>=3.0.0
httpx
To deploy and run your flow: 1. First, create a Docker work pool:
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bash
prefect work-pool create cat-facts-pool --type docker
2. Start the services:
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bash
docker-compose up -d
3. Build the flow image:
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bash
docker build -t cat-facts-image:latest -f Dockerfile.flow .
4. Deploy your flow:
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bash
python deployment.py
5. To run the deployment:
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bash
prefect deployment run cat-fact-flow/cat-fact-deployment
Key differences from the previous 2.x version: - No
prefect.yaml
needed - Deployment configuration is handled in Python - Work pools are typed (we're using a Docker work pool) - The worker needs access to Docker socket to spawn containers - Flow deployment is handled through the
.deploy()
method The worker will pull the specified image and run the flow in a container when triggered. Let me know if you need any clarification or have questions about this updated 3.x setup!
m
@Marvin what is i have multiple deployments
m
thought for 42.0 seconds
Based on the research, I'll show you two approaches to manage multiple deployments: 1. Single Deployment File Approach Create a
deployments.py
file that manages all your deployments:
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python
# src/deployments.py
from prefect import serve
from flow.test_flow import cat_fact_flow
# Import other flows
from flow.other_flow import other_flow
from flow.another_flow import another_flow

def deploy_all():
    # Cat Facts Deployment
    cat_fact_flow.deploy(
        name="cat-fact-deployment",
        work_pool_name="cat-facts-pool",
        image="cat-facts-image:latest",
        schedule={"interval": "1 hour"}  # Optional: Add schedule
    )

    # Other Flow Deployment
    other_flow.deploy(
        name="other-deployment",
        work_pool_name="other-pool",
        image="other-image:latest",
        schedule={"cron": "0 0 * * *"}  # Optional: Add schedule
    )

    # Another Flow Deployment
    another_flow.deploy(
        name="another-deployment",
        work_pool_name="another-pool",
        image="another-image:latest"
    )

if __name__ == "__main__":
    deploy_all()
2. Multiple Files Approach (More Modular) Create a
deployments
directory:
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src/
├── deployments/
│   ├── __init__.py
│   ├── cat_facts.py
│   ├── other_flow.py
│   └── another_flow.py
├── flow/
│   ├── test_flow.py
│   ├── other_flow.py
│   └── another_flow.py
└── deploy_all.py
Individual deployment files:
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python
# src/deployments/cat_facts.py
from prefect import serve
from flow.test_flow import cat_fact_flow

def deploy():
    cat_fact_flow.deploy(
        name="cat-fact-deployment",
        work_pool_name="cat-facts-pool",
        image="cat-facts-image:latest"
    )

if __name__ == "__main__":
    deploy()
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python
# src/deployments/other_flow.py
from prefect import serve
from flow.other_flow import other_flow

def deploy():
    other_flow.deploy(
        name="other-deployment",
        work_pool_name="other-pool",
        image="other-image:latest"
    )

if __name__ == "__main__":
    deploy()
Main deployment script:
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python
# src/deploy_all.py
from deployments import cat_facts, other_flow, another_flow

if __name__ == "__main__":
    cat_facts.deploy()
    other_flow.deploy()
    another_flow.deploy()
Update your Dockerfile structure to handle multiple flows:
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dockerfile
# Dockerfile.flow
FROM prefecthq/prefect:2-python3.10

WORKDIR /app

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

# Copy all flow directories
COPY flow/ /app/flow/

# The specific flow to run will be determined by the deployment
Update your
docker-compose.yml
to handle multiple work pools:
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yaml
version: '3.8'
services:
  prefect_server:
    build:
      context: .
      dockerfile: Dockerfile.prefect_server
    ports:
      - "4200:4200"
    environment:
      - PREFECT_SERVER_API_HOST=0.0.0.0
      - PREFECT_SERVER_API_PORT=4200

  cat_facts_worker:
    build:
      context: .
      dockerfile: Dockerfile.prefect_worker
    environment:
      - PREFECT_API_URL=<http://prefect_server:4200/api>
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
    command: ["prefect", "worker", "start", "--pool", "cat-facts-pool", "--type", "docker"]
    depends_on:
      - prefect_server

  other_worker:
    build:
      context: .
      dockerfile: Dockerfile.prefect_worker
    environment:
      - PREFECT_API_URL=<http://prefect_server:4200/api>
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
    command: ["prefect", "worker", "start", "--pool", "other-pool", "--type", "docker"]
    depends_on:
      - prefect_server
To deploy and run: 1. Create the work pools:
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bash
prefect work-pool create cat-facts-pool --type docker
prefect work-pool create other-pool --type docker
2. Build your images:
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bash
docker build -t cat-facts-image:latest -f Dockerfile.flow .
docker build -t other-image:latest -f Dockerfile.flow .
3. Deploy all flows:
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bash
python deploy_all.py
Or deploy individual flows:
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bash
python deployments/cat_facts.py
python deployments/other_flow.py
4. Start the infrastructure:
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bash
docker-compose up -d
5. Run specific deployments:
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bash
prefect deployment run 'cat-fact-flow/cat-fact-deployment'
prefect deployment run 'other-flow/other-deployment'
Key benefits of this structure: - Modular deployment files make it easier to maintain and update individual deployments - Each flow can have its own work pool and worker - You can deploy all flows at once or individually - Easy to add new flows and deployments - Clear separation of concerns between flow code and deployment configuration Remember to: - Keep your requirements.txt updated with all dependencies needed by all flows - Use different work pools if flows have different resource requirements - Consider using different schedules for different deployments - Use meaningful names for your deployments to easily identify them Let me know if you need any clarification or have questions about this setup!
m
@Marvin to deploy my flow . i run the python test_flow.py in side the prefect server container , I got this error ⠋ Building image cat-facts-imagelatest...fatal not a git repository (or any parent up to mount point /opt/prefect) Stopping at filesystem boundary (GIT_DISCOVERY_ACROSS_FILESYSTEM not set). Traceback (most recent call last): File "/usr/local/lib/python3.12/site-packages/urllib3/connectionpool.py", line 787, in urlopen response = self._make_request( ^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/urllib3/connectionpool.py", line 493, in _make_request conn.request( File "/usr/local/lib/python3.12/site-packages/urllib3/connection.py", line 494, in request self.endheaders() File "/usr/local/lib/python3.12/http/client.py", line 1333, in endheaders self._send_output(message_body, encode_chunked=encode_chunked) File "/usr/local/lib/python3.12/http/client.py", line 1093, in _send_output self.send(msg) File "/usr/local/lib/python3.12/http/client.py", line 1037, in send self.connect() File "/usr/local/lib/python3.12/site-packages/docker/transport/unixconn.py", line 26, in connect sock.connect(self.unix_socket) FileNotFoundError: [Errno 2] No such file or directory During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/usr/local/lib/python3.12/site-packages/requests/adapters.py", line 667, in send resp = conn.urlopen( ^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/urllib3/connectionpool.py", line 841, in urlopen retries = retries.increment( ^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/urllib3/util/retry.py", line 474, in increment raise reraise(type(error), error, _stacktrace) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/urllib3/util/util.py", line 38, in reraise raise value.with_traceback(tb) File "/usr/local/lib/python3.12/site-packages/urllib3/connectionpool.py", line 787, in urlopen response = self._make_request( ^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/urllib3/connectionpool.py", line 493, in _make_request conn.request( File "/usr/local/lib/python3.12/site-packages/urllib3/connection.py", line 494, in request self.endheaders() File "/usr/local/lib/python3.12/http/client.py", line 1333, in endheaders self._send_output(message_body, encode_chunked=encode_chunked) File "/usr/local/lib/python3.12/http/client.py", line 1093, in _send_output self.send(msg) File "/usr/local/lib/python3.12/http/client.py", line 1037, in send self.connect() File "/usr/local/lib/python3.12/site-packages/docker/transport/unixconn.py", line 26, in connect sock.connect(self.unix_socket) urllib3.exceptions.ProtocolError: ('Connection aborted.', FileNotFoundError(2, 'No such file or directory')) During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/usr/local/lib/python3.12/site-packages/docker/api/client.py", line 223, in _retrieve_server_version return self.version(api_version=False)["ApiVersion"] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/docker/api/daemon.py", line 181, in version return self._result(self._get(url), json=True) ^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/docker/utils/decorators.py", line 44, in inner return f(self, *args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/docker/api/client.py", line 246, in _get return self.get(url, **self._set_request_timeout(kwargs)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 602, in get return self.request("GET", url, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 589, in request resp = self.send(prep, **send_kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 703, in send r = adapter.send(request, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/requests/adapters.py", line 682, in send raise ConnectionError(err, request=request) requests.exceptions.ConnectionError: ('Connection aborted.', FileNotFoundError(2, 'No such file or directory')) The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/usr/local/lib/python3.12/site-packages/prefect/utilities/dockerutils.py", line 120, in docker_client client = docker.DockerClient.from_env() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/docker/client.py", line 94, in from_env return cls( ^^^^ File "/usr/local/lib/python3.12/site-packages/docker/client.py", line 45, in init self.api = APIClient(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/docker/api/client.py", line 207, in init self._version = self._retrieve_server_version() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/docker/api/client.py", line 230, in _retrieve_server_version raise DockerException( docker.errors.DockerException: Error while fetching server API version: ('Connection aborted.', FileNotFoundError(2, 'No such file or directory')) The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/prefect/flows/test_flow.py", line 26, in module cat_fact_flow.deploy( File "/usr/local/lib/python3.12/site-packages/prefect/utilities/asyncutils.py", line 351, in coroutine_wrapper return run_coro_as_sync(ctx_call()) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/prefect/utilities/asyncutils.py", line 207, in run_coro_as_sync return call.result() ^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/prefect/_internal/concurrency/calls.py", line 365, in result return self.future.result(timeout=timeout) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/prefect/_internal/concurrency/calls.py", line 192, in result return self.__get_result() ^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 401, in __get_result raise self._exception File "/usr/local/lib/python3.12/site-packages/prefect/_internal/concurrency/calls.py", line 441, in _run_async result = await coro ^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/prefect/utilities/asyncutils.py", line 188, in coroutine_wrapper return await task ^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/prefect/utilities/asyncutils.py", line 341, in ctx_call result = await async_fn(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/prefect/flows.py", line 1558, in deploy deployment_ids = await deploy_coro ^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/prefect/utilities/asyncutils.py", line 341, in ctx_call result = await async_fn(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/prefect/deployments/runner.py", line 1250, in deploy image.build() File "/usr/local/lib/python3.12/site-packages/prefect/docker/docker_image.py", line 74, in build build_image(**build_kwargs) File "/usr/local/lib/python3.12/contextlib.py", line 81, in inner return func(*args, **kwds) ^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/prefect/utilities/dockerutils.py", line 175, in build_image with docker_client() as client: ^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/contextlib.py", line 137, in enter return next(self.gen) ^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/prefect/utilities/dockerutils.py", line 124, in docker_client raise RuntimeError( RuntimeError: This error is often thrown because Docker is not running. Please ensure Docker is running. root@4ca76a9f1f99:/opt/prefect/flows# # Run this on your main computer's terminal, NOT inside the container prefect deploy --name "My Test Flow Deployment" ./flows/test_flow.py:cat_fact_flow Unable to read the specified config file. Reason: [Errno 2] No such file or directory: 'prefect.yaml'. Skipping. 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/flows/flows/test_flow.py' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/usr/local/lib/python3.12/site-packages/prefect/flows.py", line 2352, in load_flow_from_entrypoint flow: Flow[P, Any] = import_object(entrypoint) # pyright: ignore[reportRedeclaration] ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/prefect/utilities/importtools.py", line 155, in import_object module = load_script_as_module(script_path) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/prefect/utilities/importtools.py", line 120, in load_script_as_module raise ScriptError(user_exc=exc, path=path) from exc prefect.exceptions.ScriptError: Script at './flows/test_flow.py' encountered an exception: FileNotFoundError(2, 'No such file or directory') During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/usr/local/lib/python3.12/site-packages/prefect/cli/_utilities.py", line 44, in wrapper return fn(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/prefect/cli/_types.py", line 156, in sync_fn return asyncio.run(async_fn(*args, **kwargs)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/asyncio/runners.py", line 195, in run return runner.run(main) ^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/asyncio/runners.py", line 118, in run return self._loop.run_until_complete(task) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete return future.result() ^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/prefect/cli/deploy.py", line 483, in deploy await _run_single_deploy( File "/usr/local/lib/python3.12/site-packages/prefect/cli/deploy.py", line 531, in _run_single_deploy flow = load_flow_from_entrypoint(deploy_config["entrypoint"]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
m
Your message was too long, here's your message at the allowed limit: to deploy my flow i run the python test_flow py in side the prefect server container I got this error ⠋ Building image cat-facts-image latest fatal not a git repository (or any parent up to mount point /opt/prefect) Stopping at filesystem boundary (GIT_DISCOVERY_ACROSS_FILESYSTEM not set) Traceback (most recent call last) File /usr/local/lib/python3 12/site-packages/urllib3/connectionpool py line 787 in urlopen response = self _make_request( ^^^^^^^^^^^^^^^^^^^ File /usr/local/lib/python3 12/site-packages/urllib3/connectionpool py line 493 in _make_request conn request( File /usr/local/lib/python3 12/site-packages/urllib3/connection py line 494 in request self endheaders() File /usr/local/lib/python3 12/http/client py line 1333 in endheaders self _send_output(message_body encode_chunked=encode_chunked) File /usr/local/lib/python3 12/http/client py line 1093 in _send_output self send(msg) File /usr/local/lib/python3 12/http/client py line 1037 in send self connect() File /usr/local/lib/python3 12/site-packages/docker/transport/unixconn py line 26 in connect sock connect(self unix_socket) FileNotFoundError [Errno 2] No such file or directory During handling of the above exception another exception occurred Traceback (most recent call last) File /usr/local/lib/python3 12/site-packages/requests/adapters py line 667 in send resp = conn urlopen( ^^^^^^^^^^^^^ File /usr/local/lib/python3 12/site-packages/urllib3/connectionpool py line 841 in urlopen retries = retries increment( ^^^^^^^^^^^^^^^^^^ File /usr/local/lib/python3 12/site-packages/urllib3/util/retry py line 474 in increment raise reraise(type(error) error _stacktrace) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File /usr/local/lib/python3 12/site-packages/urllib3/util/util py line 38 in reraise raise value with_traceback(tb) File /usr/local/lib/python3 12/site-packages/urllib3/connectionpool py line 787 in urlopen response = self _make_request( ^^^^^^^^^^^^^^^^^^^ File /usr/local/lib/python3 12/site-packages/urllib3/connectionpool py line 493 in _make_request conn request( File /usr/local/lib/python3 12/site-packages/urllib3/connection py line 494 in request self endheaders() File /usr/local/lib/python3 12/http/client py line 1333 in endheaders self _send_output(message_body encode_chunked=encode_chunked) File /usr/local/lib/python3 12/http/client py line 1093 in _send_output self send(msg) File /usr/local/lib/python3 12/http/client py line 1037 in send self connect() File /usr/local/lib/python3 12/site-packages/docker/transport/unixconn py line 26 in connect sock connect(self unix_socket) urllib3 exceptions ProtocolError ('Connection aborted ' FileNotFoundError(2 'No such file or directory')) During handling of the above exception another exception occurred Traceback (most recent call last) File /usr/local/lib/python3 12/site-packages/docker/api/client py line 223 in _retrieve_server_version return self version(api_version=False)[ ApiVersion ] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File /usr/local/lib/python3 12/site-packages/docker/api/daemon py line 181 in version return self _result(self _get(url) json=True) ^^^^^^^^^^^^^^ File /usr/local/lib/python3 12/site-packages/docker/utils/decorators py line 44 in inner return f(self *args *kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^ File /usr/local/lib/python3 12/site-packages/docker/api/client py line 246 in _get return self get(url *self _set_request_timeout(kwargs)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File /usr/local/lib/python3 12/site-packages/requests/sessions py line 602 in get return self request( GET url *kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File /usr/local/lib/python3 12/site-packages/requests/sessions py line 589 in request resp = self send(prep *send_kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File /usr/local/lib/python3 12/site-packages/requests/sessions py line 703 in send r = adapter send(request *kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File /usr/loca
l/lib/python3 12/site-packages/requests/adapters py line 682 in send raise ConnectionError(err request=request) requests exceptions ConnectionError ('Connection aborted ' FileNotFoundError(2 'No such file or directory')) The above exception was the direct cause of the following exception Traceback (most recent call last) File /usr/local/lib/python3 12/site-packages/prefect/utilities/dockerutils py line 120 in docker_client client = docker DockerClient from_env() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File /usr/local/lib/python3 12/site-packages/docker/client py line 94 in from_env return cls( ^^^^ File /usr/local/lib/python3 12/site-packages/docker/client py line 45 in init self api = APIClient(*args *kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File /usr/local/lib/python3 12/site-packages/docker/api/client py line 207 in init self _version = self _retrieve_server_version() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File /usr/local/lib/python3 12/site-packages/docker/api/client py line 230 in _retrieve_server_version raise DockerException( docker errors
m
@Marvin to deploy my flow . i run the python test_flow.py in side the prefect server container , I got this error ⠋ Building image cat-facts-imagelatest...fatal not a git repository (or any parent up to mount point /opt/prefect) Stopping at filesystem boundary (GIT_DISCOVERY_ACROSS_FILESYSTEM not set). Traceback (most recent call last): File "/usr/local/lib/python3.12/site-packages/urllib3/connectionpool.py", line 787, in urlopen response = self._make_request( ^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.12/site-packages/urllib3/connectionpool.py", line 493, in _make_request conn.request( File "/usr/local/lib/python3.12/site-packages/urllib3/connection.py", line 494, in request self.endheaders() File "/usr/local/lib/python3.12/http/client.py", line 1333, in endheaders self._send_output(message_body, encode_chunked=encode_chunked) File "/usr/local/lib/python3.12/http/client.py", line 1093, in _send_output self.send(msg) File "/usr/local/lib/python3.12/http/client.py", line 1037, in send self.connect() File "/usr/local/lib/python3.12/site-packages/docker/transport/unixconn.py", line 26, in connect sock.connect(self.unix_socket) FileNotFoundError: [Errno 2] No such file or directory
m
thought for 13.1 seconds
This error occurs because the Prefect server container doesn't have access to the Docker socket, which is needed to build images. Also, running deployments from inside the Prefect server container isn't the recommended approach. Let's fix this. Here's the correct setup: 1. First, modify your `docker-compose.yml`:
Copy code
yaml
version: '3.8'
services:
  prefect_server:
    build:
      context: .
      dockerfile: Dockerfile.prefect_server
    ports:
      - "4200:4200"
    environment:
      - PREFECT_SERVER_API_HOST=0.0.0.0
      - PREFECT_SERVER_API_PORT=4200

  prefect_worker:
    build:
      context: .
      dockerfile: Dockerfile.prefect_worker
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock  # Give Docker access to worker
      - ./:/app  # Mount your code
    environment:
      - PREFECT_API_URL=<http://prefect_server:4200/api>
    depends_on:
      - prefect_server
2. Create a deployment script (
deployment.py
) in your project root:
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python
from prefect import flow
from flow.test_flow import cat_fact_flow

if __name__ == "__main__":
    cat_fact_flow.deploy(
        name="cat-fact-deployment",
        work_pool_name="cat-facts-pool",
        image="cat-facts-image:latest"
    )
3. Update your
Dockerfile.flow
(create if it doesn't exist):
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dockerfile
FROM prefecthq/prefect:2-python3.10

WORKDIR /app

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

COPY flow/ /app/flow/

CMD ["python", "flow/test_flow.py"]
Now, follow these steps to deploy: 1. First, make sure you're not inside any container. From your host machine, create the work pool:
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bash
prefect work-pool create cat-facts-pool --type docker
2. Build the flow image:
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bash
docker build -t cat-facts-image:latest -f Dockerfile.flow .
3. Start your services:
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bash
docker-compose up -d
4. Deploy your flow (from your host machine, not inside the container):
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bash
python deployment.py
5. Run your deployment:
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bash
prefect deployment run 'Cat Fact Flow/cat-fact-deployment'
If you need to run commands inside the containers for debugging, you can do:
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bash
# To access the worker container
docker-compose exec prefect_worker bash

# To access the server container
docker-compose exec prefect_server bash
The key points to remember: - Deployments should typically be created from your host machine, not from inside containers - The worker container needs access to the Docker socket (
/var/run/docker.sock
) - Make sure your Docker daemon is running on the host machine - The worker needs to be able to pull/build images, so it needs Docker access Let me know if you still encounter any issues!
m
@Marvin but i want to make ci/cd pipelines, then deployemnts should happen in the containers
m
thought for 44.2 seconds
Based on the research, here's how to properly set up deployments within containers for CI/CD: 1. First, modify your
Dockerfile.prefect_server
to include deployment capabilities:
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dockerfile
FROM prefecthq/prefect:2-python3.10

WORKDIR /app

# Install Docker CLI (needed for building images)
RUN apt-get update && apt-get install -y \
    apt-transport-https \
    ca-certificates \
    curl \
    gnupg \
    lsb-release \
    && curl -fsSL <https://download.docker.com/linux/debian/gpg> | gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg \
    && echo "deb [arch=amd64 signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] <https://download.docker.com/linux/debian> $(lsb_release -cs) stable" > /etc/apt/sources.list.d/docker.list \
    && apt-get update \
    && apt-get install -y docker-ce-cli

# Copy your application files
COPY requirements.txt .
RUN pip install -r requirements.txt

# Copy your application code
COPY . .

# Start the Prefect server
CMD ["prefect", "server", "start"]
2. Update your `docker-compose.yml`:
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yaml
version: '3.8'
services:
  prefect_server:
    build:
      context: .
      dockerfile: Dockerfile.prefect_server
    ports:
      - "4200:4200"
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock  # Give Docker access
      - .:/app  # Mount your code
    environment:
      - PREFECT_SERVER_API_HOST=0.0.0.0
      - PREFECT_SERVER_API_PORT=4200

  prefect_worker:
    build:
      context: .
      dockerfile: Dockerfile.prefect_worker
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
      - .:/app
    environment:
      - PREFECT_API_URL=<http://prefect_server:4200/api>
    depends_on:
      - prefect_server
3. Create a deployment script (
src/deployment.py
):
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python
from prefect import flow
from flow.test_flow import cat_fact_flow
import subprocess

def build_and_push_image():
    """Build and push the Docker image"""
    subprocess.run(["docker", "build", "-t", "cat-facts-image:latest", "-f", "Dockerfile.flow", "."], check=True)
    # If using a registry, you would push here
    # subprocess.run(["docker", "push", "your-registry/cat-facts-image:latest"], check=True)

def deploy_flow():
    """Deploy the flow"""
    # Build the image first
    build_and_push_image()
    
    # Deploy the flow
    cat_fact_flow.deploy(
        name="cat-fact-deployment",
        work_pool_name="cat-facts-pool",
        image="cat-facts-image:latest",
        build=None  # We're handling the build separately
    )

if __name__ == "__main__":
    deploy_flow()
4. Create a script to handle the entire deployment process (
src/deploy_all.sh
):
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bash
#!/bin/bash
set -e

# Create work pool if it doesn't exist
prefect work-pool create cat-facts-pool --type docker || true

# Run the deployment
python deployment.py
Make it executable:
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bash
chmod +x deploy_all.sh
5. For CI/CD, here's an example GitHub Actions workflow (
.github/workflows/deploy.yml
):
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yaml
name: Deploy Prefect Flows

on:
  push:
    branches: [ main ]
  pull_request:
    branches: [ main ]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2

      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v1

      - name: Build and start services
        run: |
          docker-compose up -d
          # Wait for services to be ready
          sleep 30

      - name: Deploy flows
        run: |
          docker-compose exec -T prefect_server ./deploy_all.sh
6. For local development and testing, you can deploy using:
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bash
# Start the services
docker-compose up -d

# Execute deployment inside the container
docker-compose exec prefect_server ./deploy_all.sh
Key points for CI/CD: 1. Environment Variables: For production, you'll want to add appropriate environment variables for authentication: ```yaml # In docker-compose.yml services: prefect_server: environment: - PREFECT_API_KEY=${PREFECT_API_KEY}
- PREFECT_API_URL=${PREFECT_API_URL}
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2. *Registry Authentication*: If using a private registry:

```python
# In deployment.py
import os

def build_and_push_image():
    registry = os.getenv("DOCKER_REGISTRY", "your-registry")
    image_name = f"{registry}/cat-facts-image:latest"
    
    # Login to registry (in CI/CD, this would be handled by GitHub Actions)
    subprocess.run(["docker", "login", registry, 
                   "-u", os.getenv("DOCKER_USERNAME"),
                   "-p", os.getenv("DOCKER_PASSWORD")], 
                  check=True)
    
    # Build and push
    subprocess.run(["docker", "build", "-t", image_name, "-f", "Dockerfile.flow", "."], check=True)
    subprocess.run(["docker", "push", image_name], check=True)
3. Error Handling: Add proper error handling and logging:
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python
# In deployment.py
import logging

logging.basicConfig(level=<http://logging.INFO|logging.INFO>)
logger = logging.getLogger(__name__)

def deploy_flow():
    try:
        build_and_push_image()
        <http://logger.info|logger.info>("Successfully built and pushed image")
        
        cat_fact_flow.deploy(
            name="cat-fact-deployment",
            work_pool_name="cat-facts-pool",
            image="cat-facts-image:latest"
        )
        <http://logger.info|logger.info>("Successfully deployed flow")
    except Exception as e:
        logger.error(f"Deployment failed: {str(e)}")
        raise
This setup allows you to: - Deploy flows from within containers - Integrate with CI/CD pipelines - Handle image building and pushing - Manage work pools and deployments automatically - Handle errors and logging appropriately Let me know if you need any clarification or have questions about specific parts of this setup!