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Firefly - Deploying functions made easy
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Anand Chitipothu
July 10, 2017
Programming
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770
Firefly - Deploying functions made easy
Lightning talk given at EuroPython 2017
Anand Chitipothu
July 10, 2017
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Transcript
Firefly Deploying functions made easy!
Who is speaking? Anand Chitipothu @anandology • building a data
science platform at @rorodata • advanced programming courses at @pipalacademy
The problem How to expose a function as an API
for others to use?
Why? • To use it in a different environment •
Loose coupling
Use cases • Deploy a machine learning model • preprocess
an image • live price check
Challenges • Requires writing a web application • What about
authentication? • How to do data validation? • How I need write a client library too?
Welcome to Firefly Deploying functions made easy!
Code Write your function: # sq.py def square(n): return n*n
Run Start web service: $ firefly sq.square [INFO] Starting gunicorn
19.7.1 [INFO] Listening at: http://127.0.0.1:8000 ...
Use And use it with a client. >>> from firefly.client
import Client >>> client = Client("http://127.0.0.1:8000") >>> client.square(n=4) 16
Behind the scenes, it is a RESTful API. $ curl
-d '{"n": 4}' http://127.0.0.1:8000/square 16 And supports any JSON-friendly datatype.
More practical example Deploying a machine learning model. # model.py
import pickle model = pickle.load('model.pkl') def predict(features): result = model.predict(features]) return int(result[0])
Run the server using: $ firefly model.predict ... And use
it in the client: >>> remote_model = Client("http://localhost:8080/") >>> remote_model.predict(features=[5.9, 3, 5.1, 1.8])) 2
Authentication Firefly has built-in support for autentication. $ firefly --token
abcd1234 sq.square ... The client must pass the same token to autenticate it. >>> client = Client("http://127.0.0.1:8000", auth_token="abcd1234") >>> client.square(n=4) 16
Upcoming Features... • supporting other input and output content-types in
addition to json. (for example, a function to resize an image) • validation using type annotations • caching support
It's open source! https://github.com/rorodata/firefly To install: pip install firefly-python
Questions? • https://firefly-python.readthedocs.io/ • https://github.com/rorodata/firefly