bucker | A simple logging library for node.js

 by   nlf JavaScript Version: 2.0.0-alpha8 License: No License

kandi X-RAY | bucker Summary

kandi X-RAY | bucker Summary

bucker is a JavaScript library typically used in Logging, Nodejs applications. bucker has no bugs, it has no vulnerabilities and it has low support. You can install using 'npm i bucker' or download it from GitHub, npm.

Bucker is a simple logging module that has everything you need to make your logs sane, readable, and useful.
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            kandi-support Support

              bucker has a low active ecosystem.
              It has 81 star(s) with 34 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 11 open issues and 16 have been closed. On average issues are closed in 30 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of bucker is 2.0.0-alpha8

            kandi-Quality Quality

              bucker has 0 bugs and 0 code smells.

            kandi-Security Security

              bucker has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              bucker code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              bucker does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              bucker releases are not available. You will need to build from source code and install.
              Deployable package is available in npm.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed bucker and discovered the below as its top functions. This is intended to give you an instant insight into bucker implemented functionality, and help decide if they suit your requirements.
            • Extend an object
            • Load the Splunkstorm transport .
            • Load a Redis connection
            • Clones the source object .
            Get all kandi verified functions for this library.

            bucker Key Features

            No Key Features are available at this moment for bucker.

            bucker Examples and Code Snippets

            No Code Snippets are available at this moment for bucker.

            Community Discussions

            QUESTION

            VueJS aws-sdk acces to dedicated S3 bucket for authenticated Cognito user
            Asked 2022-Feb-20 at 18:10

            Hi everyone i'm turning around for more than one day now and can find out where the problem is.

            What i need:

            1. Authenticate my user on my web app to control acces to a bucket
            2. allow each user to acces only a specific folder in my bucket

            What i have done

            1. Create a cognito user group with client application and federated pool
            2. Linked my federated pool to my Cognito User Group
            3. create a bucket with following props

            A. Public access B. CORS

            C. Create a login form in vuejs and start authentictate to cognito with the AWS-SDK

            ...

            ANSWER

            Answered 2022-Feb-20 at 18:10

            I get it myself. I was close put missed an element in the policy.

            I added a list object in my policy, now everything is fine

            Source https://stackoverflow.com/questions/71177608

            QUESTION

            Locked myself out of S3 bucket through incorrect bucket policy
            Asked 2021-Dec-17 at 13:01

            I try to apply policy to deny access when non secure transport

            ...

            ANSWER

            Answered 2021-Dec-17 at 13:00

            You've effectively denied all IAM-entities access to the bucket unless they use insecure transport (HTTP).

            You can perform the API calls to fix this over HTTP (not a good strategy) or Log in with your root account user and change the policy as the Root Account User is not affected by IAM policies.

            Source https://stackoverflow.com/questions/70392547

            QUESTION

            How to fix boto3 aws botocore.exceptions.NoCredentialsError:
            Asked 2021-Sep-29 at 14:49
            from django.core.management.base import BaseCommand, CommandError
            from crocolinks.models import CrocoLink
            from datetime import datetime
            import os
            import shutil
            import boto3
            import logging
            from botocore.config import Config
            import requests
            from botocore.exceptions import ClientError, NoCredentialsError
            import time
            from twisted.internet import task, reactor
            ##mysqlimport
            #import mysql.connector
            from pathlib import Path
            from os import path
            ###AWS INFO####
            
            # print(list_objects_bucket)
            
            
            class Command(BaseCommand):
                help = 'Linkebis aploadi'
            
                def handle(self,*args,**kwargs):
                    access_key = 'XXXXXXXXXXXXXXXXXXXXXXXX'
                    access_secret = 'XXXXXXXXXXXXXXXXXXXXXXXX'
                    bucket_name = 'XXXXXXXXXXXXXXXXXXXXXXXX'
                    bucket_name2= 'XXXXXXXXXXXXXXXXXXXXXXXX'
                    client = boto3.client('s3')
                    list_objects_bucket = client.list_objects(Bucket=bucket_name)
            
                    # mydb = mysql.connector.connect(host="localhost", user="newuser",database="cointrack",passwd="password")
                    # mycursor = mydb.cursor()
                    ####Connet To S3 Service
                    client_s3= boto3.client(
                        
                        's3',
                        region_name="eu-west-2",
                        aws_access_key_id=access_key,
                        aws_secret_access_key=access_secret
                    )
            
                    counter = 0
                    s3_resource = boto3.resource("s3", region_name="eu-west-2")
                    #upload files to S3 Bucker
                    data_file_folder = r"//10.0.83.27/Shared/123"
                    t1 = time.strftime('%Y-%m-%d %H:%M:%S')
                     
                    try:
                        #bucket_name = "S3_Bucket_Name" #s3 bucket name
                        data_file_folder = r"//10.0.83.27/Shared/123/" # local folder for upload
            
                        my_bucket = s3_resource.Bucket(bucket_name)
                        my_bucket2= s3_resource.Bucket(bucket_name2)
            
                        for path, subdirs, files in os.walk(data_file_folder):
                            path = path.replace("\\","/")
                            directory_name = path.replace(data_file_folder,"")
                            Destination_dir= "//10.0.83.27/Shared/gadatanilebi/"
                            Dest_dir_xelmeored="//10.0.83.277/Shared/Xelmeoredatvirtulebi/"
                            for file in files:
                                if os.path.isfile(Destination_dir+file)==False:
                            
                                    
                                    now = datetime.now()
                                    my_bucket2.upload_file(os.path.join(path, file),file)
                                    t1 = time.strftime('%Y-%m-%d %H:%M:%S')
                                    print('Uploading file {0}...'.format(file))
                                    print(path)
                                    print(t1)
                                    
                                    counter+=1
                                    #shutil.move(path+"/"+file, Destination_dir)
                                    print(file)
                                    shutil.move((path+"/"+file), os.path.join(Destination_dir,file))
                                else:
                                    if os.path.isfile(Destination_dir+file)==True: #### Tu ukve ertxel gadatanili iqneb sxva foldershi gadaitans ro ar gadaawero
                                        now = datetime.now()
                                        my_bucket.upload_file(os.path.join(path, file),file)#directory_name+'/'+file)  ###bucketze Uploadi
                                        my_bucket2.upload_file(os.path.join(path, file),file)
                                        t1 = time.strftime('%Y-%m-%d %H:%M:%S')
                                        print('Uploading file {0}...'.format(file))
                                        print(path)
                                        print(t1)
                                        
                                        #shutil.move(path+"/"+file, Destination_dir)
                                        print(file)
                                        counter+=1
                                        shutil.move((path+"/"+file), os.path.join(Dest_dir_xelmeored,file))
                        print(counter)
            
            
                                    #shutil.copytree(path+"/"+file, Destination_dir, file_exist_ok=True) 
            
                                    
            
                                        # os.rename(file,Destination_dir)
            
            
             
            
            ...

            ANSWER

            Answered 2021-Sep-29 at 14:49

            Though you provided credentials in code, you are not using it anywhere.

            It works in your local machine because, you might have AWS CLI installed and configured credentials and the code would have used that configured creds

            The below code will use inline creds in code, however would advice you to use creds set using EC2 instance profile deployed to AWS or use configured creds with CLI

            Source https://stackoverflow.com/questions/69378283

            QUESTION

            How do I load AWS region specific properties from Spring Boot application properties?
            Asked 2021-Mar-07 at 13:35

            My java microservice (developed in Spring boot) loads S3 bucket from an application properties file. S3 bucket names for 4 different AWS regions are different (bucker-east-1, bucker-west-2 etc) hence how do I load AWS region-specific properties from application properties? For example, for us-west-2 region, bucker-us-west-2 property should be loaded, etc. is there any existing support for this type of feature in SPring boot?

            ...

            ANSWER

            Answered 2021-Mar-07 at 13:35

            There's at least a couple of ways you could handle this.

            1. Use environment variables: Using env variable in Spring Boot's application.properties

            Feasibly you could structure the names to be something like bucket.name=-${AWS_REGION}

            1. Use Spring profiles. You can create separate properties files for each region.

            For example, you'd have application-us_east_1.properties, application-us_east_2.properties. You then can add the appropriate spring profile upon deployment by passing in the JVM parameter, -Dspring.profiles.active=us_east_1 to activate us_east_1. Alternatively, you can use the SPRING_PROFILES_ACTIVE environment variable similarly.

            Source https://stackoverflow.com/questions/66514767

            QUESTION

            Create bucket for public access with service account
            Asked 2021-Jan-06 at 17:34

            I am creating a bucket programmatically as follows:

            ...

            ANSWER

            Answered 2021-Jan-06 at 17:34

            There is actually an example in the docs.

            Apparently we have to create the bucket first and set the IAM-policy afterwards.

            Source https://stackoverflow.com/questions/65593317

            QUESTION

            How do I configure CNAME for S3 websites
            Asked 2020-Apr-09 at 07:25

            I am trying to host my static website using S3. I have a domain that I bought outside of AWS. The URL for my bucker http://my-website.com.s3-website-us-east-1.amazonaws.com. My domain name is my-website.com. I have tried everything but I cannot wrap my head around how I should be configuring CNAME so that my URL does not look messed up. I tried forwarding but that does not work for obvious reasons.

            Please suggest solutions.

            ...

            ANSWER

            Answered 2020-Apr-09 at 07:25

            It depends on what your DNS provider is

            1. You're using Route53 then you need to go to the Hosted Zone for my-website.com and add a A record for my-website.com that points to the bucket. You must set Alias to true for this to work.
            2. If you're using a different DNS provider you can't route Apex domain (my-wesite.com, without www, or another subdomain in front). You'll be able to add a CNAME record for a subdomain that points to the S3 web endpoint.

            Source https://stackoverflow.com/questions/61113821

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

            Vulnerabilities

            No vulnerabilities reported

            Install bucker

            You can install using 'npm i bucker' or download it from GitHub, npm.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • npm

            npm i bucker

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            https://github.com/nlf/bucker.git

          • CLI

            gh repo clone nlf/bucker

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            git@github.com:nlf/bucker.git

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