spiff-arena/connector-proxy-demo
Dan 1e86345a33 Fixes based off KB's super kind review.
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* Remove unnecessary packages from dockerfile for the demo-connect proxy.
* Rename an environment variable that mentioned Status.im in what is now a generic connector.
* Fixed a spelling mistake.
2022-12-05 10:46:26 -05:00
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bin Fixes based off KB's super kind review. 2022-12-05 10:46:26 -05:00
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Dockerfile Fixes based off KB's super kind review. 2022-12-05 10:46:26 -05:00
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app.py Merge commit 'a2dd2bb2410b676a6a7cb004a059e62b2f418727' as 'connector-proxy-demo' 2022-11-18 13:27:01 -05:00
poetry.lock fixing a few borked up things about the connector-proxy-demo's docker 2022-11-22 14:27:50 -05:00
pyproject.toml fixing a few borked up things about the connector-proxy-demo's docker 2022-11-22 14:27:50 -05:00

README.md

connector-proxy-demo

A Spiff-Connector for demonstration purposes - shows how to build connectors to some common 3rd party systems.

How to create a Connector Proxy for SpiffWorklow

Step 1. Create a python project with a few dependencies:

Create a bare-bones Flask application that depends on the core spiffworkflow-proxy (a flask blueprint) and any connector dependencies you wish to use. We will hopefully be adding a number of available connectors in the future. Please checkout the connector-aws repository for an example of how to create connections to new services.

  python = "^3.11"
  Flask = "^2.2.2"
  spiffworkflow-proxy = {git = "https://github.com/sartography/spiffworkflow-proxy"}
  connector-aws = { git = "https://github.com/sartography/connector-aws.git"}

Step 2.

Create a basic Flask Application that uses the SpiffWorkflow Proxy's Flask Blueprint

import os
from spiffworkflow_proxy.blueprint import proxy_blueprint
from flask import Flask

app = Flask(__name__)
app.config.from_pyfile("config.py", silent=True)
app.register_blueprint(proxy_blueprint)
if __name__ == "__main__":
    app.run(host="localhost", port=5000)

Step 3.

Fire it up.

#> flask run

Any dependencies you add will now be available for SpiffWorkflow to call using a Service Task. What's more, those services are now discoverable! So when someone drops a Service Task into their diagram, they will have a dropdown list of all the services you have made available to them. And those services will know what parameters are required, and can prompt diagram authors to provide information necessary to make the call. This can be no parameters at all (just give me a fact about Chuck Norris) to arbitrarily complex parameters such as a json structure to be added to a DynamoDB Table.