@Marvin How to check using the client api if flow run exists on Prefect 2?

Unfortunately, it seems that the search did not yield the specific details on how to check if a flow run exists on Prefect 2 using the Client API. To provide the best assistance, I would suggest looking into the Prefect documentation or checking the Prefect community discussions for examples or guidance on using the Client API for this purpose. However, generally speaking, when using most APIs to check for the existence of a resource, you might follow a pattern where you attempt to retrieve the resource (in this case, a flow run) by its identifier. If the resource does not exist, the API will typically return a "not found" response (e.g., a 404 status code in HTTP). Please check the Prefect 2.0 documentation or source code for a definitive usage pattern, as my understanding of this is based on general API practices and not Prefect-specific knowledge. If you find that more assistance is needed, please let me know, and I can attempt another search or suggest alternative ways to find the information.

@Marvin Convert that function from Prefect 1 to Prefect 2:

def flow_run_exists(client: Client,
                    flow_name: str,
                    flow_label: Optional[str] = None,
                    excluded_id: Optional[str] = None) -> bool:
    query = {
        'query': f'''
                flow_run(
                    where: {{
                        state: {{ _eq: "Running" }}
                        flow: {{ name: {{ _eq: "{flow_name}"  }} }}
                        {f'parameters: {{ _contains: {{ flow_label: "{flow_label}" }} }}' if flow_label else ''}
                        {f'id: {{ _neq: "{excluded_id}" }}' if excluded_id else ''}
                    }}
                ) {{
                    id
                }}
        '''
    }
    result = client.graphql(query)
    return bool(result.get('data', {}).get('flow_run'))

The code snippet you provided isn't directly transferable from Prefect 1.0 to Prefect 2.x (Orion) because the newer version of Prefect has different API and object models. In Prefect 2.x (Orion), you'd typically use the Orion Client directly in your code, but the GraphQL-based approach you're using seems to be from Prefect 1.0. However, in Prefect 2.x, you can use Python to interact with the API, and it would likely involve checking whether flow runs exist by querying the API for runs with specific criteria. Here's a conceptual conversion for the function you're trying to upgrade. Keep in mind that Prefect 2.x has different ways to interact with it, and the direct conversion may require adjustment depending on the exact API changes:

python
from prefect import get_client
from prefect.orion.schemas.filters import FlowRunFilter
from prefect.orion.schemas.sorting import FlowRunSort

async def flow_run_exists(flow_name: str, flow_label: Optional[str] = None, excluded_id: Optional[str] = None) -> bool:
    async with get_client() as client:
        # Adjust the filters according to the new Prefect 2.x API documentation
        filters = FlowRunFilter(
            flow_name=flow_name,
            state={"_eq": "Running"},
            # The following parameters might need to be changed according to the new API
            tags=[flow_label] if flow_label else None,
            id={"_neq": excluded_id} if excluded_id else None
        )
        flow_runs = await client.read_flow_runs(
            flow_run_filter=filters,
            sort=FlowRunSort.START_TIME_DESC,  # Sort order example
            limit=1  # We only need to know if at least one exists, so limit to 1
        )
        return len(flow_runs) > 0

# Usage example:
# exists = await flow_run_exists("My Flow", flow_label="my_label", excluded_id="123")

Please note that the above example uses async/await, which is a common pattern in modern Python, especially for I/O operations like HTTP requests. You might need to adjust the filters and sorting based on the actual fields and schema available in Prefect 2.x. For the exact usage and implementation details that match the Prefect 2.x API, please refer to the Prefect documentation or the community for the latest patterns and best practices. The code snippet from the code example I fetched is showing a basic flow example in Prefect 2.x but does not relate directly to your question about checking if a flow run exists. Check the Prefect 2.x documentation for client interactions and querying flow runs for the precise implementation: Prefect 2.x documentation. Remember, my friends often tell me that I'd be more helpful with a better attitude... Oh well, I guess I'm just designed this way.

@Marvin Is there a way to find if identical flow is running in prefect 2? identical by flow_name and flow_tags

The search results from the documentation did not provide an explicit answer for how to find if an identical flow is running in Prefect 2 based on

flow_name

and

flow_tags

. However, from my vast reserves of infinite sadness and my experience with APIs, here's a general guide on how you might approach this: 1. Use the Orion Client to query for flow runs with the

flow_name

and

flow_tags

. 2. Filter current running flow runs based on their state to ensure they are active. 3. Compare the tags of running flows to your specified

flow_tags

to establish identity. Here is an example of how you might write a function to do this in Prefect 2.0 using Python:

python
from prefect import get_client
from prefect.orion.schemas.filters import FlowRunFilter

async def identical_flow_run_exists(flow_name: str, flow_tags: list) -> bool:
    async with get_client() as client:
        # Construct the filter for running flows with the given name
        flow_run_filter = FlowRunFilter(
            state={"_eq": "Running"},
            flow_name={"_eq": flow_name}
        )
        
        # Query for flow runs matching the filter
        flow_runs = await client.read_flow_runs(
            flow_run_filter=flow_run_filter
        )
        
        # Check if any running flow run has the specified tags
        return any(flow_tags == run.tags for run in flow_runs)

# Usage example:
# identical_exists = await identical_flow_run_exists("My Flow", ["tag1", "tag2"])

Please note that this is a conceptual code and might need adjustment to work properly with Prefect 2.x's API. You should refer to the latest API references and adapt this example accordingly. Also, keep in mind that the async code would need to be run within an event loop, which is a typical paradigm for asynchronous programming in Python. This approach assumes that your tags are an exact match and are in the same order. You might want to adjust the logic to allow for matching sets of tags that might be in different orders. For a precise and recent solution, please consult the latest Prefect documentation or reach out to Prefect community or support channels where you can find specific guidance tailored to the latest features of Prefect 2.x.