Metadata-Version: 2.1
Name: sentry2csv
Version: 1.2.0
Summary: Export Sentry issues to CSV for further analysis
Home-page: https://github.com/sparkmeter/sentry2csv
Author: SparkMeter
Author-email: aru.sahni@sparkmeter.io
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/sparkmeter/sentry2csv/issues
Project-URL: Source Code, https://github.com/sparkmeter/sentry2csv
Description: # sentry2csv
        
        ![](https://github.com/sparkmeter/sentry2csv/workflows/lint/badge.svg)
        [![](https://img.shields.io/pypi/v/sentry2csv)](https://pypi.org/project/sentry2csv/)
        ![](https://img.shields.io/pypi/pyversions/sentry2csv)
        [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
        [![](https://img.shields.io/pypi/l/sentry2csv)](https://github.com/sparkmeter/sentry2csv/blob/master/LICENSE)
        
        Dump Sentry issues to CSV for further analysis.
        
        ```bash
        $ sentry2csv --token f9u3fdu821ed9j10sj19kjd991010 sparkmeter TopSecretProject13
        Fetching issues page 1
        Exported to sparkmeter-TopSecretProject13-export.csv
        $ head -2 sparkmeter-TopSecretProject13-export.csv
        Error,Location,Details,Events,Users,Notes,Link
        AttributeError,secret_project.tasks.remove_every_zig,'NoneType' object has no attribute 'zig_count',12,1,,https://sentry.io/organizations/sparkmeter/issues/129481/
        ```
        
        ## Installation
        
        [sentry2csv is available on PyPI](https://pypi.org/project/sentry2csv/).
        
        **pipx (reccomended)**
        
        [pipx](https://pypi.org/project/pipx/) is a tool that allows you to install and run Python applications in isolated environments.
        
        1. Install pipx, following their instructions
        2. Install sentry2csv: `pipx install sentry2csv`
        
        **pip**
        
        Alternatively, you can install sentry2csv using standard pip.
        
        1. `pip3 install sentry2csv`
        
        
        ## Use
        
        1. Get a Sentry API Token from https://sentry.io/settings/account/api/auth-tokens/
        2. Run the exporter: `sentry2csv --token <API_TOKEN> <SENTRY_ORG> <SENTRY_PROJECT>`
            * For example, `sentry2csv --token f9u3fdu821ed9j10sj19kjd991010 sparkmeter TopSecretProject13`
        
        This also accepts an optional `--enrich` flag. Enrichments augment issues with data from the latest event.
        An enrichment is in the form of `dotted.sentry.path=CSV_Field_Name`, and multiple enrichments are comma-separated.
        
        ## Development
        1. Clone this repository
        2. Create a virtualenv with Python 3.7 or greater
           * e.g., `mkvirtualenv -p $(which python3.7) sentry2csv`
        3. Install the package in editable mode: `pip install -e .[dev]`
        4. Hack away!
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: dev
