Flask Heroku Cacheify - Automatic Flask Cache Configuration on Heroku

flask-heroku-cacheify

Automatic Flask cache configuration on Heroku.

Thinking Man Sketch

Purpose

Configuring your cache on Heroku can be a time sink. There are lots of different caching addons available on Heroku (Redis, Memcached, etc.), and among those -- lots of competitors.

flask-heroku-cacheify makes your life easy by automatically configuring your Flask application to work with whatever caching addons you've got provisioned on Heroku, allowing you to easily swap out addon providers at will, without any trouble. And, just in case you don't have any suitable Heroku addons available, flask-heroku-cacheify will default back to using local memory for your cache!

Instead of looking through documentation, testing stuff out, etc., flask-heroku-cacheify will just do everything for you :)

Install

To install flask-heroku-cacheify, use pip.

$ pip install flask-heroku-cacheify

NOTE: If you're install flask-heroku-cacheify locally, you'll need to have libmemcached-dev installed on your OS (with SASL support).

Next, modify your requirements.txt file in your home directory, and add the following to the bottom of your file:

Flask-Heroku-Cacheify>=1.3
pylibmc>=1.2.3

The above will ensure that Heroku pulls in the required C header files (in case you decide to use memcached). This step is required.

Pick an Addon

Heroku has lots of available addons you can use for caching. flask-heroku-cacheify currently works with them all! That means no matter which option you choose, your cache will work out of the box, guaranteed!

Below is a list of the addons you can install to get started, you should have at least one of these activated on your Heroku app -- otherwise, your cache will be in 'local memory' only, and won't be very useful.

NOTE My favorite providers are MemCachier (for memcache), and openredis for redis. Both are equally awesome as cache providers. If you're in need of a stable cache provider for large applications, I'd recommend RedisGreen -- they use dedicated EC2 instances (which greatly improves your server power) and have an excellent interface.

Usage

Using flask-heroku-cacheify is super easy! In your app.py (or wherever you define your Flask application), add the following:

from flask_cacheify import init_cacheify

app = Flask(__name__)
cache = init_cacheify(app)

Once you've got your cache global defined, you can use it anywhere in your Flask app:

>>> from app import cache
>>> cache.set('hi', 'there', 30)
>>> cache.get('hi')
'there'

How does this work? In the background, flask-heroku-cacheify is really just automatically configuring the popular Flask-Cache extension! This means, you can basically skip down to this part of their documentation, and begin using all the methods listed there, without worrying about setting up your caches! Neat, right?

For more information and examples of how to use your cache, don't forget to read the Flask-Cache documentation.

Changelog

1.6.1: 12-20-2017

- Update docs
- Updating code to support latest Flask release

1.6.0: 04-22-2017

- Upgrading to work with latest FLask release (thanks @mattstibbs).

v1.5: 06-20-2015

- Removing MyRedis addon support -- the addon has been shut down.

v1.4: 04-04-2015

- Fixing typos in README.
- Adding Python 3 compatibility.

v1.3: 05-31-2012

- Fixing bug with memcachier support (thanks @eriktaubeneck)!

v1.2: 04-18-2013

- Adding proper documentation.

v1.1: 04-18-2013

- Adding support for MyRedis.
- Adding support for Redis Cloud.
- Adding support for Redis To Go.
- Adding support for openredis.

v1.0: 04-18-2013

- Fixing bug with RedisGreen support.

v0.9: 04-18-2013

- First *real* release! Supports MemCachier and RedisGreen!

v0.8: 04-18-2013

- Pushing eigth release to PyPI (don't use this still!).

v0.7: 04-18-2013

- Pushing seventh release to PyPI (don't use this still!).

v0.6: 04-18-2013

- Pushing sixth release to PyPI (don't use this still!).

v0.5: 04-18-2013

- Pushing fifth release to PyPI (don't use this still!).

v0.4: 04-18-2013

- Pushing fourth release to PyPI (don't use this still!).

v0.3: 04-18-2013

- Pushing third release to PyPI (don't use this still!).

v0.2: 04-18-2013

- Pushing second release to PyPI (don't use this still!).

v0.1: 04-18-2013

- Pushing first release to PyPI (don't use this yet!).

v0.0: 04-14-2013

- Started work >:)

Download Details:
Author: rdegges
Source Code: https://github.com/rdegges/flask-heroku-cacheify
License:  Unlicense License

#flask #heroku #python 

What is GEEK

Buddha Community

Flask Heroku Cacheify - Automatic Flask Cache Configuration on Heroku

Flask Heroku Cacheify - Automatic Flask Cache Configuration on Heroku

flask-heroku-cacheify

Automatic Flask cache configuration on Heroku.

Thinking Man Sketch

Purpose

Configuring your cache on Heroku can be a time sink. There are lots of different caching addons available on Heroku (Redis, Memcached, etc.), and among those -- lots of competitors.

flask-heroku-cacheify makes your life easy by automatically configuring your Flask application to work with whatever caching addons you've got provisioned on Heroku, allowing you to easily swap out addon providers at will, without any trouble. And, just in case you don't have any suitable Heroku addons available, flask-heroku-cacheify will default back to using local memory for your cache!

Instead of looking through documentation, testing stuff out, etc., flask-heroku-cacheify will just do everything for you :)

Install

To install flask-heroku-cacheify, use pip.

$ pip install flask-heroku-cacheify

NOTE: If you're install flask-heroku-cacheify locally, you'll need to have libmemcached-dev installed on your OS (with SASL support).

Next, modify your requirements.txt file in your home directory, and add the following to the bottom of your file:

Flask-Heroku-Cacheify>=1.3
pylibmc>=1.2.3

The above will ensure that Heroku pulls in the required C header files (in case you decide to use memcached). This step is required.

Pick an Addon

Heroku has lots of available addons you can use for caching. flask-heroku-cacheify currently works with them all! That means no matter which option you choose, your cache will work out of the box, guaranteed!

Below is a list of the addons you can install to get started, you should have at least one of these activated on your Heroku app -- otherwise, your cache will be in 'local memory' only, and won't be very useful.

NOTE My favorite providers are MemCachier (for memcache), and openredis for redis. Both are equally awesome as cache providers. If you're in need of a stable cache provider for large applications, I'd recommend RedisGreen -- they use dedicated EC2 instances (which greatly improves your server power) and have an excellent interface.

Usage

Using flask-heroku-cacheify is super easy! In your app.py (or wherever you define your Flask application), add the following:

from flask_cacheify import init_cacheify

app = Flask(__name__)
cache = init_cacheify(app)

Once you've got your cache global defined, you can use it anywhere in your Flask app:

>>> from app import cache
>>> cache.set('hi', 'there', 30)
>>> cache.get('hi')
'there'

How does this work? In the background, flask-heroku-cacheify is really just automatically configuring the popular Flask-Cache extension! This means, you can basically skip down to this part of their documentation, and begin using all the methods listed there, without worrying about setting up your caches! Neat, right?

For more information and examples of how to use your cache, don't forget to read the Flask-Cache documentation.

Changelog

1.6.1: 12-20-2017

- Update docs
- Updating code to support latest Flask release

1.6.0: 04-22-2017

- Upgrading to work with latest FLask release (thanks @mattstibbs).

v1.5: 06-20-2015

- Removing MyRedis addon support -- the addon has been shut down.

v1.4: 04-04-2015

- Fixing typos in README.
- Adding Python 3 compatibility.

v1.3: 05-31-2012

- Fixing bug with memcachier support (thanks @eriktaubeneck)!

v1.2: 04-18-2013

- Adding proper documentation.

v1.1: 04-18-2013

- Adding support for MyRedis.
- Adding support for Redis Cloud.
- Adding support for Redis To Go.
- Adding support for openredis.

v1.0: 04-18-2013

- Fixing bug with RedisGreen support.

v0.9: 04-18-2013

- First *real* release! Supports MemCachier and RedisGreen!

v0.8: 04-18-2013

- Pushing eigth release to PyPI (don't use this still!).

v0.7: 04-18-2013

- Pushing seventh release to PyPI (don't use this still!).

v0.6: 04-18-2013

- Pushing sixth release to PyPI (don't use this still!).

v0.5: 04-18-2013

- Pushing fifth release to PyPI (don't use this still!).

v0.4: 04-18-2013

- Pushing fourth release to PyPI (don't use this still!).

v0.3: 04-18-2013

- Pushing third release to PyPI (don't use this still!).

v0.2: 04-18-2013

- Pushing second release to PyPI (don't use this still!).

v0.1: 04-18-2013

- Pushing first release to PyPI (don't use this yet!).

v0.0: 04-14-2013

- Started work >:)

Download Details:
Author: rdegges
Source Code: https://github.com/rdegges/flask-heroku-cacheify
License:  Unlicense License

#flask #heroku #python 

Background Fetch for React Native Apps

react-native-background-fetch

Background Fetch is a very simple plugin which attempts to awaken an app in the background about every 15 minutes, providing a short period of background running-time. This plugin will execute your provided callbackFn whenever a background-fetch event occurs.

There is no way to increase the rate which a fetch-event occurs and this plugin sets the rate to the most frequent possible — you will never receive an event faster than 15 minutes. The operating-system will automatically throttle the rate the background-fetch events occur based upon usage patterns. Eg: if user hasn't turned on their phone for a long period of time, fetch events will occur less frequently or if an iOS user disables background refresh they may not happen at all.

:new: Background Fetch now provides a scheduleTask method for scheduling arbitrary "one-shot" or periodic tasks.

iOS

  • There is no way to increase the rate which a fetch-event occurs and this plugin sets the rate to the most frequent possible — you will never receive an event faster than 15 minutes. The operating-system will automatically throttle the rate the background-fetch events occur based upon usage patterns. Eg: if user hasn't turned on their phone for a long period of time, fetch events will occur less frequently.
  • scheduleTask seems only to fire when the device is plugged into power.
  • ⚠️ When your app is terminated, iOS no longer fires events — There is no such thing as stopOnTerminate: false for iOS.
  • iOS can take days before Apple's machine-learning algorithm settles in and begins regularly firing events. Do not sit staring at your logs waiting for an event to fire. If your simulated events work, that's all you need to know that everything is correctly configured.
  • If the user doesn't open your iOS app for long periods of time, iOS will stop firing events.

Android

Installing the plugin

⚠️ If you have a previous version of react-native-background-fetch < 2.7.0 installed into react-native >= 0.60, you should first unlink your previous version as react-native link is no longer required.

$ react-native unlink react-native-background-fetch

With yarn

$ yarn add react-native-background-fetch

With npm

$ npm install --save react-native-background-fetch

Setup Guides

iOS Setup

react-native >= 0.60

Android Setup

react-native >= 0.60

Example

ℹ️ This repo contains its own Example App. See /example

import React from 'react';
import {
  SafeAreaView,
  StyleSheet,
  ScrollView,
  View,
  Text,
  FlatList,
  StatusBar,
} from 'react-native';

import {
  Header,
  Colors
} from 'react-native/Libraries/NewAppScreen';

import BackgroundFetch from "react-native-background-fetch";

class App extends React.Component {
  constructor(props) {
    super(props);
    this.state = {
      events: []
    };
  }

  componentDidMount() {
    // Initialize BackgroundFetch ONLY ONCE when component mounts.
    this.initBackgroundFetch();
  }

  async initBackgroundFetch() {
    // BackgroundFetch event handler.
    const onEvent = async (taskId) => {
      console.log('[BackgroundFetch] task: ', taskId);
      // Do your background work...
      await this.addEvent(taskId);
      // IMPORTANT:  You must signal to the OS that your task is complete.
      BackgroundFetch.finish(taskId);
    }

    // Timeout callback is executed when your Task has exceeded its allowed running-time.
    // You must stop what you're doing immediately BackgroundFetch.finish(taskId)
    const onTimeout = async (taskId) => {
      console.warn('[BackgroundFetch] TIMEOUT task: ', taskId);
      BackgroundFetch.finish(taskId);
    }

    // Initialize BackgroundFetch only once when component mounts.
    let status = await BackgroundFetch.configure({minimumFetchInterval: 15}, onEvent, onTimeout);

    console.log('[BackgroundFetch] configure status: ', status);
  }

  // Add a BackgroundFetch event to <FlatList>
  addEvent(taskId) {
    // Simulate a possibly long-running asynchronous task with a Promise.
    return new Promise((resolve, reject) => {
      this.setState(state => ({
        events: [...state.events, {
          taskId: taskId,
          timestamp: (new Date()).toString()
        }]
      }));
      resolve();
    });
  }

  render() {
    return (
      <>
        <StatusBar barStyle="dark-content" />
        <SafeAreaView>
          <ScrollView
            contentInsetAdjustmentBehavior="automatic"
            style={styles.scrollView}>
            <Header />

            <View style={styles.body}>
              <View style={styles.sectionContainer}>
                <Text style={styles.sectionTitle}>BackgroundFetch Demo</Text>
              </View>
            </View>
          </ScrollView>
          <View style={styles.sectionContainer}>
            <FlatList
              data={this.state.events}
              renderItem={({item}) => (<Text>[{item.taskId}]: {item.timestamp}</Text>)}
              keyExtractor={item => item.timestamp}
            />
          </View>
        </SafeAreaView>
      </>
    );
  }
}

const styles = StyleSheet.create({
  scrollView: {
    backgroundColor: Colors.lighter,
  },
  body: {
    backgroundColor: Colors.white,
  },
  sectionContainer: {
    marginTop: 32,
    paddingHorizontal: 24,
  },
  sectionTitle: {
    fontSize: 24,
    fontWeight: '600',
    color: Colors.black,
  },
  sectionDescription: {
    marginTop: 8,
    fontSize: 18,
    fontWeight: '400',
    color: Colors.dark,
  },
});

export default App;

Executing Custom Tasks

In addition to the default background-fetch task defined by BackgroundFetch.configure, you may also execute your own arbitrary "oneshot" or periodic tasks (iOS requires additional Setup Instructions). However, all events will be fired into the Callback provided to BackgroundFetch#configure:

⚠️ iOS:

  • scheduleTask on iOS seems only to run when the device is plugged into power.
  • scheduleTask on iOS are designed for low-priority tasks, such as purging cache files — they tend to be unreliable for mission-critical tasks. scheduleTask will never run as frequently as you want.
  • The default fetch event is much more reliable and fires far more often.
  • scheduleTask on iOS stop when the user terminates the app. There is no such thing as stopOnTerminate: false for iOS.
// Step 1:  Configure BackgroundFetch as usual.
let status = await BackgroundFetch.configure({
  minimumFetchInterval: 15
}, async (taskId) => {  // <-- Event callback
  // This is the fetch-event callback.
  console.log("[BackgroundFetch] taskId: ", taskId);

  // Use a switch statement to route task-handling.
  switch (taskId) {
    case 'com.foo.customtask':
      print("Received custom task");
      break;
    default:
      print("Default fetch task");
  }
  // Finish, providing received taskId.
  BackgroundFetch.finish(taskId);
}, async (taskId) => {  // <-- Task timeout callback
  // This task has exceeded its allowed running-time.
  // You must stop what you're doing and immediately .finish(taskId)
  BackgroundFetch.finish(taskId);
});

// Step 2:  Schedule a custom "oneshot" task "com.foo.customtask" to execute 5000ms from now.
BackgroundFetch.scheduleTask({
  taskId: "com.foo.customtask",
  forceAlarmManager: true,
  delay: 5000  // <-- milliseconds
});

API Documentation

Config

Common Options

@param {Integer} minimumFetchInterval [15]

The minimum interval in minutes to execute background fetch events. Defaults to 15 minutes. Note: Background-fetch events will never occur at a frequency higher than every 15 minutes. Apple uses a secret algorithm to adjust the frequency of fetch events, presumably based upon usage patterns of the app. Fetch events can occur less often than your configured minimumFetchInterval.

@param {Integer} delay (milliseconds)

ℹ️ Valid only for BackgroundFetch.scheduleTask. The minimum number of milliseconds in future that task should execute.

@param {Boolean} periodic [false]

ℹ️ Valid only for BackgroundFetch.scheduleTask. Defaults to false. Set true to execute the task repeatedly. When false, the task will execute just once.

Android Options

@config {Boolean} stopOnTerminate [true]

Set false to continue background-fetch events after user terminates the app. Default to true.

@config {Boolean} startOnBoot [false]

Set true to initiate background-fetch events when the device is rebooted. Defaults to false.

NOTE: startOnBoot requires stopOnTerminate: false.

@config {Boolean} forceAlarmManager [false]

By default, the plugin will use Android's JobScheduler when possible. The JobScheduler API prioritizes for battery-life, throttling task-execution based upon device usage and battery level.

Configuring forceAlarmManager: true will bypass JobScheduler to use Android's older AlarmManager API, resulting in more accurate task-execution at the cost of higher battery usage.

let status = await BackgroundFetch.configure({
  minimumFetchInterval: 15,
  forceAlarmManager: true
}, async (taskId) => {  // <-- Event callback
  console.log("[BackgroundFetch] taskId: ", taskId);
  BackgroundFetch.finish(taskId);
}, async (taskId) => {  // <-- Task timeout callback
  // This task has exceeded its allowed running-time.
  // You must stop what you're doing and immediately .finish(taskId)
  BackgroundFetch.finish(taskId);
});
.
.
.
// And with with #scheduleTask
BackgroundFetch.scheduleTask({
  taskId: 'com.foo.customtask',
  delay: 5000,       // milliseconds
  forceAlarmManager: true,
  periodic: false
});

@config {Boolean} enableHeadless [false]

Set true to enable React Native's Headless JS mechanism, for handling fetch events after app termination.

  • 📂 index.js (MUST BE IN index.js):
import BackgroundFetch from "react-native-background-fetch";

let MyHeadlessTask = async (event) => {
  // Get task id from event {}:
  let taskId = event.taskId;
  let isTimeout = event.timeout;  // <-- true when your background-time has expired.
  if (isTimeout) {
    // This task has exceeded its allowed running-time.
    // You must stop what you're doing immediately finish(taskId)
    console.log('[BackgroundFetch] Headless TIMEOUT:', taskId);
    BackgroundFetch.finish(taskId);
    return;
  }
  console.log('[BackgroundFetch HeadlessTask] start: ', taskId);

  // Perform an example HTTP request.
  // Important:  await asychronous tasks when using HeadlessJS.
  let response = await fetch('https://reactnative.dev/movies.json');
  let responseJson = await response.json();
  console.log('[BackgroundFetch HeadlessTask] response: ', responseJson);

  // Required:  Signal to native code that your task is complete.
  // If you don't do this, your app could be terminated and/or assigned
  // battery-blame for consuming too much time in background.
  BackgroundFetch.finish(taskId);
}

// Register your BackgroundFetch HeadlessTask
BackgroundFetch.registerHeadlessTask(MyHeadlessTask);

@config {integer} requiredNetworkType [BackgroundFetch.NETWORK_TYPE_NONE]

Set basic description of the kind of network your job requires.

If your job doesn't need a network connection, you don't need to use this option as the default value is BackgroundFetch.NETWORK_TYPE_NONE.

NetworkTypeDescription
BackgroundFetch.NETWORK_TYPE_NONEThis job doesn't care about network constraints, either any or none.
BackgroundFetch.NETWORK_TYPE_ANYThis job requires network connectivity.
BackgroundFetch.NETWORK_TYPE_CELLULARThis job requires network connectivity that is a cellular network.
BackgroundFetch.NETWORK_TYPE_UNMETEREDThis job requires network connectivity that is unmetered. Most WiFi networks are unmetered, as in "you can upload as much as you like".
BackgroundFetch.NETWORK_TYPE_NOT_ROAMINGThis job requires network connectivity that is not roaming (being outside the country of origin)

@config {Boolean} requiresBatteryNotLow [false]

Specify that to run this job, the device's battery level must not be low.

This defaults to false. If true, the job will only run when the battery level is not low, which is generally the point where the user is given a "low battery" warning.

@config {Boolean} requiresStorageNotLow [false]

Specify that to run this job, the device's available storage must not be low.

This defaults to false. If true, the job will only run when the device is not in a low storage state, which is generally the point where the user is given a "low storage" warning.

@config {Boolean} requiresCharging [false]

Specify that to run this job, the device must be charging (or be a non-battery-powered device connected to permanent power, such as Android TV devices). This defaults to false.

@config {Boolean} requiresDeviceIdle [false]

When set true, ensure that this job will not run if the device is in active use.

The default state is false: that is, the for the job to be runnable even when someone is interacting with the device.

This state is a loose definition provided by the system. In general, it means that the device is not currently being used interactively, and has not been in use for some time. As such, it is a good time to perform resource heavy jobs. Bear in mind that battery usage will still be attributed to your application, and shown to the user in battery stats.


Methods

Method NameArgumentsReturnsNotes
configure{FetchConfig}, callbackFn, timeoutFnPromise<BackgroundFetchStatus>Configures the plugin's callbackFn and timeoutFn. This callback will fire each time a background-fetch event occurs in addition to events from #scheduleTask. The timeoutFn will be called when the OS reports your task is nearing the end of its allowed background-time.
scheduleTask{TaskConfig}Promise<boolean>Executes a custom task. The task will be executed in the same Callback function provided to #configure.
statuscallbackFnPromise<BackgroundFetchStatus>Your callback will be executed with the current status (Integer) 0: Restricted, 1: Denied, 2: Available. These constants are defined as BackgroundFetch.STATUS_RESTRICTED, BackgroundFetch.STATUS_DENIED, BackgroundFetch.STATUS_AVAILABLE (NOTE: Android will always return STATUS_AVAILABLE)
finishString taskIdVoidYou MUST call this method in your callbackFn provided to #configure in order to signal to the OS that your task is complete. iOS provides only 30s of background-time for a fetch-event -- if you exceed this 30s, iOS will kill your app.
startnonePromise<BackgroundFetchStatus>Start the background-fetch API. Your callbackFn provided to #configure will be executed each time a background-fetch event occurs. NOTE the #configure method automatically calls #start. You do not have to call this method after you #configure the plugin
stop[taskId:String]Promise<boolean>Stop the background-fetch API and all #scheduleTask from firing events. Your callbackFn provided to #configure will no longer be executed. If you provide an optional taskId, only that #scheduleTask will be stopped.

Debugging

iOS

🆕 BGTaskScheduler API for iOS 13+

  • ⚠️ At the time of writing, the new task simulator does not yet work in Simulator; Only real devices.
  • See Apple docs Starting and Terminating Tasks During Development
  • After running your app in XCode, Click the [||] button to initiate a Breakpoint.
  • In the console (lldb), paste the following command (Note: use cursor up/down keys to cycle through previously run commands):
e -l objc -- (void)[[BGTaskScheduler sharedScheduler] _simulateLaunchForTaskWithIdentifier:@"com.transistorsoft.fetch"]
  • Click the [ > ] button to continue. The task will execute and the Callback function provided to BackgroundFetch.configure will receive the event.

Simulating task-timeout events

  • Only the new BGTaskScheduler api supports simulated task-timeout events. To simulate a task-timeout, your fetchCallback must not call BackgroundFetch.finish(taskId):
let status = await BackgroundFetch.configure({
  minimumFetchInterval: 15
}, async (taskId) => {  // <-- Event callback.
  // This is the task callback.
  console.log("[BackgroundFetch] taskId", taskId);
  //BackgroundFetch.finish(taskId); // <-- Disable .finish(taskId) when simulating an iOS task timeout
}, async (taskId) => {  // <-- Event timeout callback
  // This task has exceeded its allowed running-time.
  // You must stop what you're doing and immediately .finish(taskId)
  print("[BackgroundFetch] TIMEOUT taskId:", taskId);
  BackgroundFetch.finish(taskId);
});
  • Now simulate an iOS task timeout as follows, in the same manner as simulating an event above:
e -l objc -- (void)[[BGTaskScheduler sharedScheduler] _simulateExpirationForTaskWithIdentifier:@"com.transistorsoft.fetch"]

Old BackgroundFetch API

  • Simulate background fetch events in XCode using Debug->Simulate Background Fetch
  • iOS can take some hours or even days to start a consistently scheduling background-fetch events since iOS schedules fetch events based upon the user's patterns of activity. If Simulate Background Fetch works, your can be sure that everything is working fine. You just need to wait.

Android

  • Observe plugin logs in $ adb logcat:
$ adb logcat *:S ReactNative:V ReactNativeJS:V TSBackgroundFetch:V
  • Simulate a background-fetch event on a device (insert <your.application.id>) (only works for sdk 21+:
$ adb shell cmd jobscheduler run -f <your.application.id> 999
  • For devices with sdk <21, simulate a "Headless JS" event with (insert <your.application.id>)
$ adb shell am broadcast -a <your.application.id>.event.BACKGROUND_FETCH

Download Details:
Author: transistorsoft
Source Code: https://github.com/transistorsoft/react-native-background-fetch
License: MIT license

#react  #reactnative  #mobileapp  #javascript 

Steve  Kunde

Steve Kunde

1592723950

Download a Flask template ready to plug in your business logic

Let’s assume after lots of hard work you have your machine learning model running the way it should. This model could be one which responds to a user’s request to classify a tweet sentiment or identify objects in an image or recommend a product or some other algorithm unique to your needs. You would now like to quickly deploy this model. The article below is an explanation of the template that I have created to get you up and running quickly.

#flask-framework #flask-python-appengine #flask-sqlalchemy #marshmallow #flask #programming

Web development with python and flask: part 3

In this part of the series, we will be taking a look at the HTTP protocol, request/response objects, their application in flask, properties, and their related methods. We will take steps to import it from the flask module, use its properties, and look at some of its related usages

Web applications implement one of the internet data and message exchange architectures that is based on HTTP protocol. The HTTP protocol is just one of the many application layers of TCP/IP. The TCP/IP(Transmission Control Protocol/Internet Protocol) is used as a standard for transmitting data over networks. In simple terms, HTTP has rules, properties, and methods that implement the transmission of messages in form of hyperlinks over the communication structures enforced by the TCP/IP.

.You must know that the internet is based on connected physical computational devices over either copper wires, fiber optical cables, wireless, and other media to form data transmission and retrieval systems across the globe. Trust me, that is a whole career field in itself and we are not interested in its elaborate ramblings in this post.

#flask #web developemnt #flask #flask requests #webdevelopment

davis mike

1626331037

Caching In WordPress: What You Need to Learn?

WordPress caching has nothing new to showcase in this context. WordPress websites also run on a specific server system and you have to make sure these servers work well for user engagement. So caching can help your website server work effectively to serve too many visitors collectively. The commonly requested items can be converted into varied copies that the website server doesn’t want to showcase every time to every website visitor. Classification of Caching is usually divided into two kinds. The Client-Side Caching & the Server Side Caching. Where client-side caching has nothing to do with your website, Server Side Caching is usually its opposite. Read more on https://bit.ly/3rbqvVh

#caching plugins #server side caching #client side caching #wordpress websites #wordpress caching