Can someone help me with executing python function from azure data factory.
I have stored python function in blob and i'm trying to trigger the same.
However i'm not able to do it. Please assist.
Second, Can i parameterize python function call from ADF?
You could get an idea of Azure Function Activity in ADF which allows you to run Azure Functions in a Data Factory pipeline.
And you could duplicate your python function into Python Azure Function.
Also,it want to pass parameters into python function,you could set them into body properties.
The Azure Function Activity supports routing. For example, if your app uses the following routing - https://functionAPP.azurewebsites.net/api/functionName/{value}?code=<secret> - then the functionName is functionName/{value}, which you can parameterize to provide the desired functionName at runtime.
Related
I have a API Gateway that calls a Cloud Function..
I want to create a config file to 3 routes:
..myurl/user
..myurl/client
..myurl/order
My problem is that I would like to use the same Cloud Function wrote in Python to deal with each scenario since it's just a function to get the data and write in BigQuery, in the end my need is just to know if the data is from user, client or order to switch correctly the insert target load.
Today I am using 3 different cloud functions for each path in the API spec.
I am trying to create a stored procedure activity in azure data factory python sdk. Although the task can receive the value and the type of stored procedure parameters, I am not being able to pass the name of the parameter using StoredProcedureParameter class. Any suggestions?
ps: Already read the documentation and tried to pass as a dict. Did not worked.
-> The result in Azure Data Factory portal
-> Creating the parameters via python sdk
I have an HTTP triggered Azure Function written in Python. I also have a CosmosDB container with a stored procedure which takes no parameters. How do I call this stored procedure from within the Azure Function's Python code?
After reviewing the Cosmos docs, I know that one can create an HTTP trigger for the Cosmos DB send a request to the appropriate URL, but I've been unable to find out if this is necessary, and if it is, are there any Azure Python modules that create the necessary URLs and boiler plate.
I've been unable to find in the Azure Functions docs if there are bindings for stored procedures.
import azure.functions as func
def main(req: func.HttpRequest) -> func.HttpResponse:
# What do I type here?
return func.HttpResponse(....)
Please refer to the official python documentation on how to call a stored procedure LINK.
Also, there is no output bindings to trigger Cosmos DB stored procedures.
I have a blob container containing multiple files. I'm interested in binding the last modified one as input for an azure function. The function is implemented in python.
I thought I could do this by binding a blob container as CloudBlobContainer and then iterate over the files to find the last modified one. According to this thread it seems like binding to a container is possible in C#. But I can't figure out how to do this in Python. CloudBlobContainer doesn't seem to exist for Python. What other alternatives do I have?
According to this thread it seems like binding to a container is
possible in C#.
It seems that you have already seen the Usage of Blob Trigger Azure Function document.Another evidence is that,actually,all bindings of dev language platform except C# are built on the ExtensionBundle.You could see there is no Container type in the supported list.
So, i guess you have to implement it with python blob storage sdk in the Azure Function method. Or you could submit feedback to Azure Function Team to improve the product.
I have an app that is meant to integrate with third-party apps. These apps should be able to trigger a function when data changes.
The way I was envisioning this, I would use a node function to safely prepare data for the third parties, and get the url to call from the app's configuration on firestore. I would call that url from the node function, and wait for it to return, updating results as necessary (actually, triggering a push notification). -- these third-party functions would tend to be python functions, so my demo should be in python.
I have the initial node function and firestore setup so that I am currently triggering a ECONNREFUSED -- because I don't know how to set up the third-party function.
Let's say this is the function I need to trigger:
def hello_world(request):
request_json = request.get_json()
if request_json and 'name' in request_json:
name = request_json['name']
else:
name = 'World'
return 'Hello, {}!\n'.format(name)
Do I need to set up a separate gcloud account to host this function, or can I include it in my firestore functions? If so, how do I deploy this to firestore? Typically with my node functions, I am running firebase deploy and it automagically finds my functions from my index.js file.
If you're asking whether Cloud Functions that are triggered by Cloud Firestore can co-exist in a project with Cloud Functions that are triggered by HTTP(S) requests, then the answer is "yes they can". There is no need to set up a separate (Firebase or Cloud) project for each function type.
However: when you deploy your Cloud Functions through the Firebase CLI with firebase deploy, it will remove any functions that it finds in the project, that are not in the code. If you have functions both in Python and in Node.js, there is never a single codebase that contains both, so a blanket deploy would always delete some of your functions. So in that case, you should use the granular deploy option of the Firebase CLI.