Skip to main content

Adapter to run an Azure Function Application with a WSGI Web Server.

Project description

Cactus

Adapter to run an Azure Function Application with a WSGI Web Server.

How it works

Given the path of a folder containing a Function App, it builds a WSGI App parsing the Function settings. The app simply calls the Function main according to the route/methods settings.

Supported Function

This software is meant to support only Function which use binding httpTrigger as input and http as output. No other binding types. This is not an Azure emulator.

Function App structure

V1
FunctionApp
|-- host.json
|-- function_1
|	|-- function.json
|	|-- __init__.py
|-- function_2
|	|-- function.json
|	|-- __init__.py
V2
FunctionApp
|-- host.json
|-- local.settings.json
|-- function_app.py

Installing

pip install pycactus
pip install pycactus[flask] # to use Flask as web framework

How to run

Create a file "wsgi.py"
from cactus.appfactory import build_app
app = build_app("YourFunctionAppFolder")

Or, to use Flask as web framework:

from cactus.flask import build_app
app = build_app("YourFunctionAppFolder")

Or, for V2 projects:

from cactus.flask import build_app_v2
app = build_app_v2("YourFunctionAppFolder")
Run it with a WSGI Web Server
gunicorn wsgi:app
uwsgi --http localhost:7071 --module wsgi:app

Checkout the examples for more.

Using Flask blueprints

from cactus.flask import build_blueprint
from cactus.route_info import parse_project

app = flask.Flask(__name__)
b = build_blueprint("myfunctionapp", parse_project("/path"))
app.register_blueprint(b)

Or, for V2 projects:

from cactus.flask import build_blueprint
from cactus.route_info import parse_project_v2

app = flask.Flask(__name__)
b = build_blueprint("myfunctionapp", parse_project_v2("/path"))
app.register_blueprint(b)

Testing

This module is tested using Fir WSGI client.

# Create a virtual environment 
python3 -m venv venv
source venv/bin/activate
# Install requirements
pip install -r requirements -r test-requirements
# Run tests with coverage
python -m pytest tests --cov=cactus

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pycactus-0.3.0.tar.gz (8.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pycactus-0.3.0-py3-none-any.whl (8.8 kB view details)

Uploaded Python 3

File details

Details for the file pycactus-0.3.0.tar.gz.

File metadata

  • Download URL: pycactus-0.3.0.tar.gz
  • Upload date:
  • Size: 8.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for pycactus-0.3.0.tar.gz
Algorithm Hash digest
SHA256 501df588f4a544955814790f4e84c86a61bfee43258349647baa3b689870e292
MD5 f66211800f9551d7460c922a75951211
BLAKE2b-256 474bb15963e1fd91a1d1689b206186296ae435e4a48a4bf2091edbc3f146d4fd

See more details on using hashes here.

File details

Details for the file pycactus-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: pycactus-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 8.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for pycactus-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c19585b79c598b8419a0ee3cc736ba45b91d59101e1fea4a4f47211adb95c3d2
MD5 bbe8adf8cbc6c134749a0c0add84f72f
BLAKE2b-256 464791914246b675f9f9508f36284a810e6579973cbe4268ff5eb3a75dc89559

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page