Skip to main content

jitcache is a just-in-time key-value cache that isthread/process safe

Project description

Build Status Documentation Status Downloads

jitcache

jitcache is a just-in-time key-value cache that is thread/process safe. jitcache also prevents repeated computation when multiple workers request the same value.

jitcache was designed to improve the performance of Plot.ly Dash apps by caching results and reducing CPU load.

Installation

Install via pip:

$ pip install jitcache

Documentation

Full documentation available here https://jitcache.readthedocs.io/

Basic Usage

from jitcache import Cache
import time


cache = Cache()


@cache.memoize
def slow_fn(input_1, input_2, input_3=10):
    print("Slow Function Called")
    time.sleep(1)
    return input_1 * input_2 * input_3


print(slow_fn(10, 2))

Output:

Slow Function Called
40

Plot.ly Dash Usage

import dash
import dash_html_components as html
from jitcache import Cache
import dash_core_components as dcc


cache = Cache()

app = dash.Dash(__name__)

server = app.server
app.layout = html.Div(
    children=[
        html.Div(id="output-container-dropdown1", children=[]),
        html.Div(id="output-container-dropdown2", children=[]),
        dcc.Dropdown(
            options=[
                {"label": "New York City", "value": "NYC"},
                {"label": "Montréal", "value": "MTL"},
                {"label": "San Francisco", "value": "SF"},
            ],
            value="MTL",
            id="dropdown",
        ),
    ]
)


@app.callback(
    dash.dependencies.Output("output-container-dropdown1", "children"),
    [dash.dependencies.Input("dropdown", "value")],
)
@cache.memoize
def update_output1(input_dropdown):
    print("run1")

    return input_dropdown


@app.callback(
    dash.dependencies.Output("output-container-dropdown2", "children"),
    [dash.dependencies.Input("dropdown", "value")],
)
@cache.memoize
def update_output2(input_dropdown):
    print("run2")

    return input_dropdown


if __name__ == "__main__":
    app.run_server(debug=True)

Project details


Download files

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

Files for jitcache, version 0.32
Filename, size File type Python version Upload date Hashes
Filename, size jitcache-0.32-py3-none-any.whl (3.7 kB) File type Wheel Python version py3 Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page