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es-amazon-s3-river | Amazon S3 river for Elasticsearch | AWS library

 by   lbroudoux Java Version: Current License: Apache-2.0

 by   lbroudoux Java Version: Current License: Apache-2.0

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kandi X-RAY | es-amazon-s3-river Summary

es-amazon-s3-river is a Java library typically used in Cloud, AWS, Spark, Amazon S3 applications. es-amazon-s3-river has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However es-amazon-s3-river has 5 bugs. You can download it from GitHub, Maven.
Amazon S3 river for Elasticsearch. This river plugin helps to index documents from a Amazon S3 account buckets. WARNING: For 0.0.1 released version, you need to have the [Attachment Plugin](https://github.com/elasticsearch/elasticsearch-mapper-attachments). WARNING: Starting from 0.0.2, you don’t need anymore the [Attachment Plugin](https://github.com/elasticsearch/elasticsearch-mapper-attachments) as we use now directly [Tika](http://tika.apache.org/), see [issue #2](https://github.com/lbroudoux/es-amazon-s3-river/issues/2).
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • es-amazon-s3-river has a low active ecosystem.
  • It has 64 star(s) with 20 fork(s). There are 8 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 6 open issues and 30 have been closed. On average issues are closed in 72 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of es-amazon-s3-river is current.
es-amazon-s3-river Support
Best in #AWS
Average in #AWS
es-amazon-s3-river Support
Best in #AWS
Average in #AWS

quality kandi Quality

  • es-amazon-s3-river has 5 bugs (0 blocker, 0 critical, 4 major, 1 minor) and 40 code smells.
es-amazon-s3-river Quality
Best in #AWS
Average in #AWS
es-amazon-s3-river Quality
Best in #AWS
Average in #AWS

securitySecurity

  • es-amazon-s3-river has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • es-amazon-s3-river code analysis shows 0 unresolved vulnerabilities.
  • There are 2 security hotspots that need review.
es-amazon-s3-river Security
Best in #AWS
Average in #AWS
es-amazon-s3-river Security
Best in #AWS
Average in #AWS

license License

  • es-amazon-s3-river is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
es-amazon-s3-river License
Best in #AWS
Average in #AWS
es-amazon-s3-river License
Best in #AWS
Average in #AWS

buildReuse

  • es-amazon-s3-river releases are not available. You will need to build from source code and install.
  • Deployable package is available in Maven.
  • Build file is available. You can build the component from source.
  • Installation instructions, examples and code snippets are available.
  • It has 1242 lines of code, 73 functions and 13 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
es-amazon-s3-river Reuse
Best in #AWS
Average in #AWS
es-amazon-s3-river Reuse
Best in #AWS
Average in #AWS
Top functions reviewed by kandi - BETA

kandi has reviewed es-amazon-s3-river and discovered the below as its top functions. This is intended to give you an instant insight into es-amazon-s3-river implemented functionality, and help decide if they suit your requirements.

  • Start the scan .
    • Pushes a mapping .
      • Download the content from S3 object .
        • Handles a REST request .
          • Get the summaries of all objects in the bucket .
            • Check if key is indexable .
              • Builds an array of strings based on the configuration .
                • Register S3 - S3 module .
                  • On failure .
                    • Description of Amazon S3 plugin .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      es-amazon-s3-river Key Features

                      Amazon S3 river for Elasticsearch

                      Community Discussions

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                      QUESTION

                      Python/Docker ImportError: cannot import name 'json' from itsdangerous

                      Asked 2022-Mar-31 at 12:49

                      I am trying to get a Flask and Docker application to work but when I try and run it using my docker-compose up command in my Visual Studio terminal, it gives me an ImportError called ImportError: cannot import name 'json' from itsdangerous. I have tried to look for possible solutions to this problem but as of right now there are not many on here or anywhere else. The only two solutions I could find are to change the current installation of MarkupSafe and itsdangerous to a higher version: https://serverfault.com/questions/1094062/from-itsdangerous-import-json-as-json-importerror-cannot-import-name-json-fr and another one on GitHub that tells me to essentially change the MarkUpSafe and itsdangerous installation again https://github.com/aws/aws-sam-cli/issues/3661, I have also tried to make a virtual environment named veganetworkscriptenv to install the packages but that has also failed as well. I am currently using Flask 2.0.0 and Docker 5.0.0 and the error occurs on line eight in vegamain.py.

                      Here is the full ImportError that I get when I try and run the program:

                      veganetworkscript-backend-1  | Traceback (most recent call last):
                      veganetworkscript-backend-1  |   File "/app/vegamain.py", line 8, in <module>
                      veganetworkscript-backend-1  |     from flask import Flask
                      veganetworkscript-backend-1  |   File "/usr/local/lib/python3.9/site-packages/flask/__init__.py", line 19, in <module>
                      veganetworkscript-backend-1  |     from . import json
                      veganetworkscript-backend-1  |   File "/usr/local/lib/python3.9/site-packages/flask/json/__init__.py", line 15, in <module>
                      veganetworkscript-backend-1  |     from itsdangerous import json as _json
                      veganetworkscript-backend-1  | ImportError: cannot import name 'json' from 'itsdangerous' (/usr/local/lib/python3.9/site-packages/itsdangerous/__init__.py)
                      veganetworkscript-backend-1 exited with code 1
                      

                      Here are my requirements.txt, vegamain.py, Dockerfile, and docker-compose.yml files:

                      requirements.txt:

                      Flask==2.0.0
                      Flask-SQLAlchemy==2.4.4
                      SQLAlchemy==1.3.20
                      Flask-Migrate==2.5.3
                      Flask-Script==2.0.6
                      Flask-Cors==3.0.9
                      requests==2.25.0
                      mysqlclient==2.0.1
                      pika==1.1.0
                      wolframalpha==4.3.0
                      

                      vegamain.py:

                      # Veganetwork (C) TetraSystemSolutions 2022
                      # all rights are reserved.  
                      # 
                      # Author: Trevor R. Blanchard Feb-19-2022-Jul-30-2022
                      #
                      
                      # get our imports in order first
                      from flask import Flask # <-- error occurs here!!!
                      
                      # start the application through flask.
                      app = Flask(__name__)
                      
                      # if set to true will return only a "Hello World" string.
                      Debug = True
                      
                      # start a route to the index part of the app in flask.
                      @app.route('/')
                      def index():
                          if (Debug == True):
                              return 'Hello World!'
                          else:
                              pass
                      
                      # start the flask app here --->
                      if __name__ == '__main__':
                          app.run(debug=True, host='0.0.0.0') 
                      

                      Dockerfile:

                      FROM python:3.9
                      ENV PYTHONUNBUFFERED 1
                      WORKDIR /app
                      COPY requirements.txt /app/requirements.txt
                      RUN pip install -r requirements.txt
                      COPY . /app
                      

                      docker-compose.yml:

                      version: '3.8'
                      services:
                        backend:
                          build:
                            context: .
                            dockerfile: Dockerfile
                          command: 'python vegamain.py'
                          ports:
                            - 8004:5000
                          volumes:
                            - .:/app
                          depends_on:
                            - db
                      
                      #  queue:
                      #    build:
                      #      context: .
                      #      dockerfile: Dockerfile
                      #    command: 'python -u consumer.py'
                      #    depends_on:
                      #      - db
                      
                        db:
                          image: mysql:5.7.22
                          restart: always
                          environment:
                            MYSQL_DATABASE: admin
                            MYSQL_USER: root
                            MYSQL_PASSWORD: root
                            MYSQL_ROOT_PASSWORD: root
                          volumes:
                            - .dbdata:/var/lib/mysql
                          ports:
                            - 33069:3306
                      

                      How exactly can I fix this code? thank you!

                      ANSWER

                      Answered 2022-Feb-20 at 12:31

                      I was facing the same issue while running docker containers with flask.

                      I downgraded Flask to 1.1.4 and markupsafe to 2.0.1 which solved my issue.

                      Check this for reference.

                      Source https://stackoverflow.com/questions/71189819

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

                      Vulnerabilities

                      No vulnerabilities reported

                      Install es-amazon-s3-river

                      Travis CI [![Build Status](https://travis-ci.org/lbroudoux/es-amazon-s3-river.png?branch=master)](https://travis-ci.org/lbroudoux/es-amazon-s3-river).
                      Just install as a regular Elasticsearch plugin by typing :. This will do the job…​. Get Amazon AWS credentials (accessKey and secretKey).

                      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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