Metadata-Version: 2.1
Name: scalefree-target-s3-json
Version: 0.2
Summary: Singer.io target for writing JSON files and upload to S3
Home-page: https://github.com/ScalefreeCOM/scalefree-target-s3-json
Author: Scalefree GmbH
License: UNKNOWN
Download-URL: https://github.com/ScalefreeCOM/scalefree-target-s3-json/archive/refs/tags/v_02.tar.gz
Description: # target-s3-json
        
        [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pipelinewise-target-s3-csv.svg)](https://pypi.org/project/pipelinewise-target-s3-csv/)
        [![License: Apache2](https://img.shields.io/badge/License-Apache2-yellow.svg)](https://opensource.org/licenses/Apache-2.0)
        
        [Singer](https://www.singer.io/) target that uploads loads data to S3 in JSON format
        following the [Singer spec](https://github.com/singer-io/getting-started/blob/master/docs/SPEC.md).
        
        ## How to use it
        
        ## Install
        
        First, make sure Python 3 is installed on your system or follow these
        installation instructions for [Mac](http://docs.python-guide.org/en/latest/starting/install3/osx/) or
        [Ubuntu](https://www.digitalocean.com/community/tutorials/how-to-install-python-3-and-set-up-a-local-programming-environment-on-ubuntu-16-04).
        
        It's recommended to use a virtualenv:
        
        ```bash
          python3 -m venv env-target-s3-json
        ```
        
        Install the package target-s3-json in the virtualenv:
        
        Either install it from github:
        ```bash
          source env-target-s3-json/bin/activate
          pip install git+https://github.com/ScalefreeCOM/scalefree-target-s3-json
          deactivate
        ```
        or from PyPI:
        ```bash
          source env-target-s3-json/bin/activate
          pip install scalefree-target-s3-json
          deactivate
        ```
        
        ### To run
        
        Like any other target that's following the singer specification:
        
        ```bash
          some-singer-tap --catalog [catalog.json] | ~/environment/env-target-s3-json/bin/python3 env-target-s3-json/lib/python3.7/site-packages/target_s3_json/__init__.py --config [config.json]
        ```
        
        **Note**: To avoid version conflicts run `tap` and `targets` in separate virtual environments.
        
        ### Configuration settings
        
        Running the target connector requires a `config.json` file. An example with the minimal settings:
        
           ```json
           {
        	"aws_access_key_id": "ACCESS-KEY",
        	"aws_secret_access_key": "SECRET",
        	"s3_bucket": "BUCKET",
        	"s3_key_prefix": "SOME-PREFIX/",
        	"delimiter": ","
           }
           ```
        
        ## License
        
        Apache License Version 2.0
        
        See [LICENSE](LICENSE) to see the full text.
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3 :: Only
Description-Content-Type: text/markdown
Provides-Extra: test
