cloud | Command framework & dispatcher for the JVM | Application Framework library

by Incendo Java Version: 1.8.3 License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | cloud Summary

cloud is a Java library typically used in Server, Application Framework, Framework applications. cloud has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However cloud build file is not available. You can download it from GitHub, Maven.

Cloud is a general-purpose Java command dispatcher & framework. It allows programmers to define command chains that are then parsed and invoked from user- supplied string inputs, to execute pre-defined actions. Cloud commands consist out of deterministic command chains where the arguments are strongly typed. When you write a command, you know exactly what type of data you will get to work with and you won't need to spend hours debugging command contexts while crying profusely. The experience of using the framework is like floating on a fluffy cloud in heaven. Its feature set is derived from Already existing Command Frameworks, while being less restrictive, opinionated and confusing.

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Quality

Security

License

Reuse

Support

cloud has a low active ecosystem.

It has 338 star(s) with 56 fork(s). There are 10 watchers for this library.

It had no major release in the last 12 months.

There are 33 open issues and 70 have been closed. On average issues are closed in 260 days. There are 21 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cloud is 1.8.3

Quality

cloud has no bugs reported.

Security

cloud has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

cloud is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

cloud releases are available to install and integrate.

Deployable package is available in Maven.

cloud has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed cloud and discovered the below as its top functions. This is intended to give you an instant insight into cloud implemented functionality, and help decide if they suit your requirements.

Attempts to parse a single argument and attempt to parse its children .
Gets result consumer .
Build a command node .
Main entry point .
Prints a help topic to the specified sender .
Handle throwable exception .
Handles incoming message .
Process command .
Handles a generic message .
Initializes the proxy .

Get all kandi verified functions for this library.

cloud Key Features

No Key Features are available at this moment for cloud.

cloud Examples and Code Snippets

Call Google Cloud SDK .

python

Lines of Code : 32

License : Non-SPDX (Apache License 2.0)

Copy

def gcloud(tool, args, stdin=None):
  r"""Run a Google cloud utility.

  On Linux and MacOS, utilities are assumed to be in the PATH.
  On Windows, utilities are assumed to be available as
    C:\Program Files (x86)\Google\Cloud SDK\google-cloud-sdk\

Community Discussions

Trending Discussions on cloud

Fetch data from Cloud Firestore and store it in a constant

General approach to parsing text with special characters from PDF using Tesseract?

Firestore, query and update with node.js

How to resolve gcloud crashed (ReadTimeout): HTTPSConnectionPool(host='cloudfunctions.googleapis.com', port=443): Read timed out. (read timeout=300)

Preserve unicode of emojis in python

Accessing objects inside an object for a list

Apache Beam SIGKILL

How to change the property of a css class on click on a button?

Why my Google Drive API access auto revoked?

Local/Offline Development using AWS ElastiCache for Redis

QUESTION

Fetch data from Cloud Firestore and store it in a constant

Asked 2021-Jun-15 at 23:56

const set = firebase.firestore().collection("workoutExercises").doc(firebase.auth().currentUser.uid).get()
  console.log(set)

...

ANSWER

Answered 2021-Jun-15 at 23:56

Firebase calls like this are asynchronous, meaning they don't return immediately. In Javascript, you can deal with this in a couple of different ways, using async/await or Promises.

Here's an example using a Promise:

Source https://stackoverflow.com/questions/67994072

QUESTION

General approach to parsing text with special characters from PDF using Tesseract?

Asked 2021-Jun-15 at 20:17

I would like to extract the definitions from the book The Navajo Language: A Grammar and Colloquial Dictionary by Young and Morgan. They look like this (very blurry):

I tried running it through the Google Cloud Vision API, and got decent results, but it doesn't know what to do with these "special" letters with accent marks on them, or the curls and lines on/through them. And because of the blurryness (there are no alternative sources of the PDF), it gets a lot of them wrong. So I'm thinking of doing it from scratch in Tesseract. Note the term is bold and the definition is not bold.

How can I use Node.js and Tesseract to get basically an array of JSON objects sort of like this:

...

ANSWER

Answered 2021-Jun-15 at 20:17

Tesseract takes a lang variable that you can expand to include different languages if they're installed. I've used the UB Mannheim (https://github.com/UB-Mannheim/tesseract/wiki) installation which includes a ton of languages supported.

To get better and more accurate results, the best thing to do is to process the image before handing it to Tesseract. Set a white/black threshold so that you have black text on white background with no shading. I'm not sure how to do this in Node, but I've done it with Python's OpenCV library.

If that font doesn't get you decent results with the out of the box, then you'll want to train your own, yes. This blog post walks through the process in great detail: https://towardsdatascience.com/simple-ocr-with-tesseract-a4341e4564b6. It revolves around using the jTessBoxEditor to hand-label the objects detected in the images you're using.

Edit: In brief, the process to train your own:

Install jTessBoxEditor (https://sourceforge.net/projects/vietocr/files/jTessBoxEditor/). Requires Java Runtime installed as well.
Collect your training images. They want to be .tiffs. I found I got fairly accurate results with not a whole lot of images that had a good sample of all the characters I wanted to detect. Maybe 30/40 images. It's tedious, so you don't want to do TOO many, but need enough in order to get a good sampling.
Use jTessBoxEditor to merge all the images into a single .tiff
Create a training label file (.box)j. This is done with Tesseract itself. tesseract your_language.font.exp0.tif your_language.font.exp0 makebox
Now you can open the box file in jTessBoxEditor and you'll see how/where it detected the characters. Bounding boxes and what character it saw. The tedious part: Hand fix all the bounding boxes and characters to accurately represent what is in the images. Not joking, it's tedious. Slap some tv episodes up and just churn through it.
Train the tesseract model itself

save a file: font_properties who's content is font 0 0 0 0 0
run the following commands:

tesseract num.font.exp0.tif font_name.font.exp0 nobatch box.train

unicharset_extractor font_name.font.exp0.box

shapeclustering -F font_properties -U unicharset -O font_name.unicharset font_name.font.exp0.tr

mftraining -F font_properties -U unicharset -O font_name.unicharset font_name.font.exp0.tr

cntraining font_name.font.exp0.tr

You should, in there close to the end see some output that looks like this:

Master shape_table:Number of shapes = 10 max unichars = 1 number with multiple unichars = 0

That number of shapes should roughly be the number of characters present in all the image files you've provided.

If it went well, you should have 4 files created: inttemp normproto pffmtable shapetable. Rename them all with the prefix of your_language from before. So e.g. your_language.inttemp etc.

Then run:

combine_tessdata your_language

The file: your_language.traineddata is the model. Copy that into your Tesseract's data folder. On Windows, it'll be like: C:\Program Files x86\tesseract\4.0\tessdata and on Linux it's probably something like /usr/shared/tesseract/4.0/tessdata.

Then when you run Tesseract, you'll pass the lang=your_language. I found best results when I still passed an existing language as well, so like for my stuff it was still English I was grabbing, just funny fonts. So I still wanted the English as well, so I'd pass: lang=your_language+eng.

Source https://stackoverflow.com/questions/67991718

QUESTION

Firestore, query and update with node.js

Asked 2021-Jun-15 at 20:01

I need a cloud function that triggers automatically once per day and query in my "users" collection where "watched" field is true and update all of them as false. I get "13:26 error Parsing error: Unexpected token MyFirstRef" this error in my terminal while deploying my function. I am not familiar with js so can anyone please correct function. Thanks.

...

ANSWER

Answered 2021-Jun-15 at 16:13

There are several points to correct in your code:

You need to return a Promise when all the asynchronous job is completed. See this doc for more details.
If you use the await keyword, you need to declare the function async, see here.
A QuerySnapshot has a forEach() method
You can get the DocumentReference of a doc from the QuerySnapshot just by using the ref property.

The following should therefore do the trick:

Source https://stackoverflow.com/questions/67989283

QUESTION

How to resolve gcloud crashed (ReadTimeout): HTTPSConnectionPool(host='cloudfunctions.googleapis.com', port=443): Read timed out. (read timeout=300)

Asked 2021-Jun-15 at 19:45

I receive the error when triggering a cloud function using the gcloud command from terminal:

gcloud functions call function_name

On the cloud function log page no error is shown and the task is finished with no problem, however, after the task is finished this error shows up on the terminal.

gcloud crashed (ReadTimeout): HTTPSConnectionPool(host='cloudfunctions.googleapis.com', port=443): Read timed out. (read timeout=300)

Note: my function time out is set to 540 second and it takes ~320 seconds to finish the job

...

ANSWER

Answered 2021-Jun-15 at 19:45

I think the issue is that gcloud functions call times out after 300 seconds and is non-configurable for a longer timeout to match the Cloud Function.

I created a simple Golang Cloud Function:

Source https://stackoverflow.com/questions/67978541

QUESTION

Preserve unicode of emojis in python

Asked 2021-Jun-15 at 17:52

I'm dealing with emojis Unicode and wanna save images with its corresponding Unicode like 1F636_200D_1F32B_FE0F for https://emojipedia.org/face-in-clouds/.

But for https://emojipedia.org/keycap-digit-one/ the files end up 1_FE0F_20E3 and I need them to be 0031_FE0F_20E3 is there a way to tell the encoder to not parse the 1?

...

ANSWER

Answered 2021-Jun-15 at 17:52

The unicode_escape codec displays the ASCII characters as characters, and only non-ASCII characters as escape codes. If you want all to be escape codes, you have to format yourself:

Source https://stackoverflow.com/questions/67962228

QUESTION

Accessing objects inside an object for a list

Asked 2021-Jun-15 at 16:34

So I have this object which has other objects and array nested inside it. I want to create a function that lists all the elements in this object and its nested objects. I did create a function but when it lists the items in the objects, it shows [object object] on the section where there is a nested object or array

This is the object that I have :

...

ANSWER

Answered 2021-Jun-15 at 16:34

let weather = {
    base: "stations",
    clouds: {
      all: 1
    },
    coord: {
      lat: 43.65,
      lon: -79.38
    },
    dt: 1507510380,
    id: 6167863,
    main: {
      humidity: 77,
      pressure: 1014,
      temp: 17.99,
      temp_max: 20,
      temp_min: 16
    },
    name: 'Downtown Toronto',
    sys: {
      type: 1,
      id: 2117,
      message: 0.0041,
      country: 'CA',
      sunrise: 1507548290,
      sunset: 1507589027,
      type: 1
    },
    visibility: 16093,
    weather: [
      {
        description: 'clear sky',
        icon: '01n',
        id: 800,
        main: "Clear"
      }
    ],
    wind: {
      deg: 170,
      speed: 1.5
    }
  
  }

function listWeather(object) {
    let itemsList = ''
    let itemsSubList = ''
    for (let key in object) {
      var item = object[key]
      if( isObject(item) ){
        for (let k in item) {
        document.write('---' + k + ' : ' + item[k] + '');
        }
      }else{
        if( Array.isArray(item) ){
          document.write('----'+ key +':');
          for (let l in item[0]) {
            document.write('------' + l + ' : ' + item[0][l] + '');
          }
        }else{
          document.write('' + key + ' : ' + object[key] + '');
        }
      }
    }
    // return itemsList
 }

function isObject(objValue) {
  return objValue && typeof objValue === 'object' && objValue.constructor === Object;
}

listWeather(weather)

Source https://stackoverflow.com/questions/67962426

QUESTION

Apache Beam SIGKILL

Asked 2021-Jun-15 at 13:51

The Question

How do I best execute memory-intensive pipelines in Apache Beam?

Background

I've written a pipeline that takes the Naemura Bird dataset and converts the images and annotations to TF Records with TF Examples of the required format for the TF object detection API.

I tested the pipeline using DirectRunner with a small subset of images (4 or 5) and it worked fine.

The Problem

When running the pipeline with a bigger data set (day 1 of 3, ~21GB) it crashes after a while with a non-descriptive SIGKILL. I do see a memory peak before the crash and assume that the process is killed because of a too high memory load.

I ran the pipeline through strace. These are the last lines in the trace:

...

ANSWER

Answered 2021-Jun-15 at 13:51

Multiple things could cause this behaviour, because the pipeline runs fine with less Data, analysing what has changed could lead us to a resolution.

Option 1 : clean your input data

The third line of the logs you provide might indicate that you're processing unclean data in your bigger pipeline mmap(NULL, could mean that | "Get Content" >> beam.Map(lambda x: x.read_utf8()) is trying to read a null value.

Is there an empty file somewhere ? Are your files utf8 encoded ?

Option 2 : use smaller files as input

I'm guessing using the fileio.ReadMatches() will try to load into memory the whole file, if your file is bigger than your memory, this could lead to errors. Can you split your data into smaller files ?

Option 3 : use a bigger infrastructure

If files are too big for your current machine with a DirectRunner you could try to use an on-demand infrastructure using another runner on the Cloud such as DataflowRunner

Source https://stackoverflow.com/questions/67684186

QUESTION

How to change the property of a css class on click on a button?

Asked 2021-Jun-15 at 13:35

I am trying to change the property of a CSS class on click on a button. Firstly i have this button in my html

...

ANSWER

Answered 2021-Jun-15 at 12:07

Here is a minimal JS fiddle example: HTML:

Source https://stackoverflow.com/questions/67985841

QUESTION

Why my Google Drive API access auto revoked?

Asked 2021-Jun-15 at 11:56

I have some problem with Google Drive API access: my access revoked every week! What I have done:

Created an app in Google Cloud Platform.
Enabled Google API.
Created a service account for my app.
Created OAuth 2.0 client secret for third-party apps.

I have some files on my home server that I want to upload to my Google Drive once a day. When I request access to my Google Drive (I'm requesting offline access) I can work with my drive without any problems. Also, I can see my app in my Google Account third-party apps tab. But after a week I see that my app just disappearing from the third-party apps tab in Google Account and my server receives that access and refresh tokens are expired. This happened to me already 4 times!

The only thing that is strange is that when I'm requesting access Google says that this app is "untrusted" and "if I am sure that I want to give the access". If so, how can I make the app trusted?

How can I give permanent access to my Google Drive for my app? I only need this for my account, not for other people, because only I using this cloud app. Thank You.

...

ANSWER

Answered 2021-Jun-15 at 11:56

I found the solution. After the first time access was granted to my app, a new option appeared in my Google Account called "Access for untrusted third-party apps". I need to enable this option and grand access for my app again. After that my app appeared in an untrusted section of my Google Account but no access revoke by Google for now.

Source https://stackoverflow.com/questions/67888793

QUESTION

Local/Offline Development using AWS ElastiCache for Redis

Asked 2021-Jun-15 at 11:22

I need to do local/offline development using AWS ElastiCache for Redis. I checked LocalStack but the open source Community Edition do not provide this feature. You can refer the pricing model here. Is there any other alternative for local/offline development using AWS ElastiCache for Redis?

...

ANSWER

Answered 2021-Jun-15 at 11:22

Elasticache is just hosted Redis; you don't need anything special for development, just a local copy of Redis (in a container if you'd like).

Source https://stackoverflow.com/questions/67985126

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install cloud

To clone the repository, use git clone https://github.com/Incendo/cloud.git. To then build it, use ./gradlew clean build. If you want to build the examples as well, use ./gradlew clean build -Pcompile-examples.