http-containerize 0.3.10

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Function framework for Python

NOTICE:

The code has been rewritten for 0.3.0, but the documentation has not been updated!

This framework provides a mechanism to write Function-as-a-Service style code in Python for handling CloudEvents delivered via HTTP.

This framework is primarily intended to work with Knative, but also works to provide a generic server for handling CloudEvents over HTTP (e.g. from Kubernetes or on a local machine).

Usage:

import logging
from typing import Any

from pyfun_events import Handle, Get

counter = 0


# @Handle assumes json body. For event bodies which are a simple string, try:
# @Handle(str)
@Handle
def DoEvent(data: Any, context: dict):
    logging.info(data)
    counter = counter + 1


@Handle(path="/secret")
def DoOther(data: Any, context: dict) -> v1.Event:
    if data.get("handshake") == "backwards":
        counter = 0
        return v1.Event().SetData("It's gone, man")


@Get
def Info():
    return "Got {0}".format(counter)


@Get("/dance")
def Party():
    return "<BLINK>Like it's 1999</BLINK>"

Running manually

Copy packaging/config.py and packaging/requirements.txt into your application directory alongside your other code. You can then start the Flask webserver running your function with:

FLASK_APP=config
flask run

Running on Knative

There is a supplied build template in packaging/build-template.yaml, which you can apply to your cluster with:

kubectl apply -f packaging/build-template.yaml

or

kubectl apply -f https://github.com/evankanderson/pyfun/tree/master/packaging/build-template.yaml

Then update your Knative Service like so:

apiVersion: serving.knative.dev/v1alpha1
kind: Service
metadata:
  name: message-dumper
spec:
  runLatest:
    configuration:
+     build:
+       source:
+          git:
+            url: YOUR_REPO_URL
+            revision: HEAD
+       template:
+         name: pyfn
+         arguments:
+         - name: IMAGE
+           value: YOUR_DOCKER_IMAGE
+       serviceAccountName: builder
  revisionTemplate:
    spec:
      container:
        image: YOUR_DOCKER_IMAGE