sentry2csv 1.1.1

Export Sentry issues to CSV for further analysis

sentry2csv

Dump Sentry issues to CSV for further analysis.

$ 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.

pipx (reccomended)

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 CSV Field Name=dotted.sentry.path, 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!