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NiallRees committed Feb 28, 2022
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12 changes: 12 additions & 0 deletions .editorconfig
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root = true

[*]
indent_style = space
indent_size = 4
end_of_line = lf
charset = utf-8
trim_trailing_whitespace = true
insert_final_newline = true

[*.yml]
indent_size = 2
21 changes: 21 additions & 0 deletions LICENSE
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MIT License

Copyright (c) 2022 Brooklyn Data Company LLC

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
66 changes: 66 additions & 0 deletions README.md
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# Meltano on Github Actions

This template uses [cookiecutter](https://github.com/cookiecutter/cookiecutter) to generate a [GitHub Actions](https://github.com/features/actions) orchestrated [Meltano](https://meltano.com/) project.

For a list of pre-made Singer taps and targets, see the [Meltano Hub](https://hub.meltano.com/singer/taps/).

## Benefits to using GitHub Actions

- Requires only a GitHub account to deploy a fully automated Meltano project with logging, alerting, and incremental state
- Configuration is version controlled and maintained as code
- Low barrier to entry, a working project can be deployed on a schedule in a couple of hours
- Easy management of secrets
- Low cost. See the free minutes for your plan [here](https://docs.github.com/en/billing/managing-billing-for-github-actions/about-billing-for-github-actions#included-storage-and-minutes), and the incremental cost outside of your free minutes [here](https://docs.github.com/en/billing/managing-billing-for-github-actions/about-billing-for-github-actions#per-minute-rates).

## Limitations of using GitHub Actions

- There is a [6 hour maximum run time](https://docs.github.com/en/actions/learn-github-actions/usage-limits-billing-and-administration#usage-limits) for any isolated individual job in a workflow. This often means that backfills need to be performed outside of GitHub actions.
- No way of exposing the Meltano UI

## Usage prerequisites:
- Python >= 3.7
- pipx
- meltano
- cookiecutter

Install pipx with:
```bash
pip install pipx
pipx ensurepath
```

Install Meltano with:
```bash
pipx install meltano
```

Install Cookiecutter with:
```bash
pipx install cookiecutter
```

## Instructions

1. In your terminal, navigate to the parent folder in which you'd like the project to be created.
2. Run `cookiecutter https://github.com/brooklyn-data/meltano-on-github-actions` and follow the prompts.
3. From inside the newly generated project, search for all 'TODO' strings, and complete any actions required.
4. Once ready to publish, initialize Git with `git init`.
5. Create an empty repository in GitHub.
6. Take the `.git` URL of the newly created remote repository, and run `git remote add origin <.git url>`.
7. Stage and commit the generated project files with `git add -A` and `git commit -m 'Initial commit'`.
8. Make sure the branch is named `main` by running `git branch -M main`.
9. Finally, push the created project to the remote repository with `git push -u origin main`.
10. Configure any required secrets in the GitHub repo.

## Slack alerts
Slack alerts on failure are enabled [using the official Slack GitHub action](https://github.com/slackapi/slack-github-action), using '[Technique 2: Slack App](https://github.com/slackapi/slack-github-action#technique-2-slack-app)'. To configure:

1. [Create a Slack App](https://api.slack.com/apps) for the workspace, with a suitable name (e.g. Meltano).
2. Add the [chat.write](https://api.slack.com/scopes/chat:write) bot scope under OAuth & Permissions.
3. Install the app to the workspace.
4. Copy the app's Bot Token from the OAuth & Permissions page and add it as a secret in the repo settings named `SLACK_BOT_TOKEN`.
5. Invite the bot user into the channel you wish to post messages to (/invite @bot_user_name).
6. Copy the Slack channel's Channel ID (from the channel's About section, accessed by clicking the drop down arrow next to the channel's name) into another repository secret named `SLACK_CHANNEL_ID`.

# About Brooklyn Data Co.
We are a full-stack data and analytics team, focused on leadership, process improvement, implementation, and advanced analytics. [Read more about what we do](https://brooklyndata.co) and [check out our open roles!](https://brooklyndata.co/careers)
9 changes: 9 additions & 0 deletions cookiecutter.json
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{
"org_name": "Correctly capitalized organization name",
"project_folder_name": "meltano-on-github-actions",
"add_target": [
"No",
"Snowflake",
"BigQuery"
]
}
12 changes: 12 additions & 0 deletions {{ cookiecutter.project_folder_name }}/.editorconfig
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root = true

[*]
indent_style = space
indent_size = 4
end_of_line = lf
charset = utf-8
trim_trailing_whitespace = true
insert_final_newline = true

[*.yml]
indent_size = 2
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Create new tap-target workflow files using the existing as a guide.
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{%- raw %}
on:
schedule:
- cron: '0 8 * * *' # Every day at 8AM UTC - TODO update as needed
workflow_dispatch: # workflow_dispatch enables the workflow to be triggered manually

jobs:
meltano:
runs-on: ubuntu-latest
name: Meltano
steps:
# Checkout the repository so that a path to the action.yml can be used
- uses: actions/checkout@v2
{% endraw %}{%- if cookiecutter.add_target == "BigQuery" %}{% raw %}
# Authenticate to Google SDK for target-bigquery
- name: Set up Cloud SDK
uses: google-github-actions/[email protected]
with:
# TODO add GCP_PROJECT_ID and GCP_SA_KEY as GitHub Secrets
project_id: ${{ secrets.GCP_PROJECT_ID }}
service_account_key: ${{ secrets.GCP_SA_KEY }}
export_default_credentials: true
{% endraw %}{%- endif %}{% raw %}
# Get the database files from the previous run, if exists
- name: Download latest SQLite database artifact
uses: dawidd6/action-download-artifact@v2
continue-on-error: true
with:
workflow: ${{ github.workflow }}
branch: main
name: meltano.db
path: ${{ github.workspace }}
workflow_conclusion: completed # Download artifacts from the latest completed run, even if it failed. This enables Meltano to start off from where a tap failed.
- name: Meltano
if: always() # Always run this step even if the prior failed due to no artifact found (this should only take effect if first time running)
uses: ./
env:
# TODO add and modify as needed and add to the repo's secrets
{% endraw %}{%- if cookiecutter.add_target == "Snowflake" %}{% raw %}
TARGET_SNOWFLAKE_ACCOUNT: ${{ secrets.TARGET_SNOWFLAKE_ACCOUNT }}
TARGET_SNOWFLAKE_USERNAME: MELTANO
TARGET_SNOWFLAKE_PASSWORD: ${{ secrets.TARGET_SNOWFLAKE_PASSWORD }}
TARGET_SNOWFLAKE_DBNAME: MELTANO
TARGET_SNOWFLAKE_WAREHOUSE: MELTANO
TARGET_SNOWFLAKE_FILE_FORMAT: meltano.public.csv
{% endraw %}{%- elif cookiecutter.add_target == "BigQuery" %}{% raw %}
TARGET_BIGQUERY_PROJECT_ID: # TODO add the production BigQuery project ID here
{% endraw %}{%- endif %}{% raw %}
MELTANO_DATABASE_URI: sqlite:////github/workspace/meltano.db
with:
# TODO set correct tap and target names
args: meltano elt tap-example {% endraw %}{% if cookiecutter.add_target == "Snowflake" %}target-snowflake{% elif cookiecutter.add_target == "BigQuery" %}target-bigquery{% else %}target-example{% endif %}{% raw %} --job_id=meltano # job_id required to use incremental state, can be anything
- name: Meltano Slack alert
# TODO configure SLACK_CHANNEL_ID and SLACK_BOT_TOKEN secrets in the repo
if: failure() # Only run if one of the previous steps fails
id: slack
uses: slackapi/[email protected]
with:
channel-id: ${{ secrets.SLACK_CHANNEL_ID }}
slack-message: "<https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}|:warning: Workflow ${{ github.workflow }} has failed.>"
env:
SLACK_BOT_TOKEN: ${{ secrets.SLACK_BOT_TOKEN }}
# Upload the sqlite database containing incremental, bookmark state
- name: Upload SQLite database artifact
if: always() # Always run this step even if the prior failed
uses: actions/upload-artifact@v2
with:
name: meltano.db
path: ${{ github.workspace }}/meltano.db*
{%- endraw %}
137 changes: 137 additions & 0 deletions {{ cookiecutter.project_folder_name }}/.gitignore
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# Secrets and internal config files
**/.secrets/*
gcp.json

# Ignore meltano internal cache and sqlite systemdb

.meltano/

# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
.python-version

# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock

# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/
10 changes: 10 additions & 0 deletions {{ cookiecutter.project_folder_name }}/Dockerfile
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FROM meltano/meltano:v1.96.0-python3.8

# Meltano project and install
COPY . /project/
RUN meltano install

# GitHub actions sets the working directory to the repo root when running.
# The entrypoint script sets the current directory to the meltano project and
# runs the container arguments as a command.
ENTRYPOINT ["./entrypoint.sh"]
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