feat(dagster): add Dagster
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dagster/examples/dagster_tutorial/.gitignore
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dagster/examples/dagster_tutorial/.gitignore
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[codz]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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sdist/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py.cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# UV
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# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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#uv.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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#poetry.toml
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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# pdm recommends including project-wide configuration in pdm.toml, but excluding .pdm-python.
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# https://pdm-project.org/en/latest/usage/project/#working-with-version-control
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#pdm.lock
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#pdm.toml
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.pdm-python
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.pdm-build/
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# pixi
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# Similar to Pipfile.lock, it is generally recommended to include pixi.lock in version control.
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#pixi.lock
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# Pixi creates a virtual environment in the .pixi directory, just like venv module creates one
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# in the .venv directory. It is recommended not to include this directory in version control.
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.pixi
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.envrc
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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# Abstra
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# Abstra is an AI-powered process automation framework.
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# Ignore directories containing user credentials, local state, and settings.
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# Learn more at https://abstra.io/docs
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.abstra/
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# Visual Studio Code
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# Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore
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# that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore
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# and can be added to the global gitignore or merged into this file. However, if you prefer,
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# you could uncomment the following to ignore the entire vscode folder
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# .vscode/
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# Ruff stuff:
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.ruff_cache/
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# PyPI configuration file
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.pypirc
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# Marimo
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marimo/_static/
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marimo/_lsp/
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__marimo__/
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# Streamlit
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.streamlit/secrets.toml
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.tmp*
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61
dagster/examples/dagster_tutorial/README.md
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61
dagster/examples/dagster_tutorial/README.md
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# dagster_tutorial
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## Getting started
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### Installing dependencies
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**Option 1: uv**
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Ensure [`uv`](https://docs.astral.sh/uv/) is installed following their [official documentation](https://docs.astral.sh/uv/getting-started/installation/).
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Create a virtual environment, and install the required dependencies using _sync_:
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```bash
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uv sync
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```
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Then, activate the virtual environment:
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| OS | Command |
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| --- | --- |
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| MacOS | ```source .venv/bin/activate``` |
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| Windows | ```.venv\Scripts\activate``` |
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**Option 2: pip**
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Install the python dependencies with [pip](https://pypi.org/project/pip/):
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```bash
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python3 -m venv .venv
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```
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Then active the virtual environment:
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| OS | Command |
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| --- | --- |
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| MacOS | ```source .venv/bin/activate``` |
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| Windows | ```.venv\Scripts\activate``` |
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Install the required dependencies:
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```bash
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pip install -e ".[dev]"
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```
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### Running Dagster
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Start the Dagster UI web server:
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```bash
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dg dev
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```
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Open http://localhost:3000 in your browser to see the project.
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## Learn more
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To learn more about this template and Dagster in general:
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- [Dagster Documentation](https://docs.dagster.io/)
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- [Dagster University](https://courses.dagster.io/)
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- [Dagster Slack Community](https://dagster.io/slack)
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32
dagster/examples/dagster_tutorial/pyproject.toml
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32
dagster/examples/dagster_tutorial/pyproject.toml
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[project]
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name = "dagster_tutorial"
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requires-python = ">=3.9,<3.14"
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version = "0.1.0"
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dependencies = [
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"dagster==1.11.10",
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"dagster-duckdb>=0.27.10",
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]
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[dependency-groups]
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dev = [
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"dagster-webserver",
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"dagster-dg-cli",
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]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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force-include = { "pyproject.toml" = "pyproject.toml" }
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[tool.dg]
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directory_type = "project"
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[tool.dg.project]
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root_module = "dagster_tutorial"
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registry_modules = [
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"dagster_tutorial.components.*",
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]
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from pathlib import Path
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from dagster import definitions, load_from_defs_folder
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@definitions
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def defs():
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return load_from_defs_folder(path_within_project=Path(__file__).parent)
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@@ -0,0 +1,96 @@
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import dagster as dg
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from dagster_duckdb import DuckDBResource
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@dg.asset
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def customers(duckdb: DuckDBResource):
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url = "https://raw.githubusercontent.com/dbt-labs/jaffle-shop-classic/refs/heads/main/seeds/raw_customers.csv"
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table_name = "customers"
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with duckdb.get_connection() as conn:
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conn.execute(
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f"""
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create or replace table {table_name} as (
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select * from read_csv_auto('{url}')
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)
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"""
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)
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@dg.asset
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def orders(duckdb: DuckDBResource):
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url = "https://raw.githubusercontent.com/dbt-labs/jaffle-shop-classic/refs/heads/main/seeds/raw_orders.csv"
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table_name = "orders"
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with duckdb.get_connection() as conn:
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conn.execute(
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f"""
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create or replace table {table_name} as (
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select * from read_csv_auto('{url}')
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)
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"""
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)
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@dg.asset
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def payments(duckdb: DuckDBResource):
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url = "https://raw.githubusercontent.com/dbt-labs/jaffle-shop-classic/refs/heads/main/seeds/raw_payments.csv"
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table_name = "payments"
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with duckdb.get_connection() as conn:
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conn.execute(
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f"""
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create or replace table {table_name} as (
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select * from read_csv_auto('{url}')
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)
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"""
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)
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@dg.asset(
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deps=["customers", "orders", "payments"],
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)
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def orders_aggregation(duckdb: DuckDBResource):
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table_name = "orders_aggregation"
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with duckdb.get_connection() as conn:
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conn.execute(
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f"""
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create or replace table {table_name} as (
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select
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c.id as customer_id,
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c.first_name,
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c.last_name,
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count(distinct o.id) as total_orders,
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count(distinct p.id) as total_payments,
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coalesce(sum(p.amount), 0) as total_amount_spent
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from customers c
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left join orders o
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on c.id = o.user_id
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left join payments p
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on o.id = p.order_id
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group by 1, 2, 3
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);
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"""
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)
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@dg.asset_check(asset="orders_aggregation")
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def orders_aggregation_check(duckdb: DuckDBResource) -> dg.AssetCheckResult:
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table_name = "orders_aggregation"
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with duckdb.get_connection() as conn:
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res = conn.execute(f"select count(*) from {table_name}").fetchone()
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if res is None:
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return dg.AssetCheckResult(
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passed=False, metadata={"message": "Order aggregation check failed"}
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)
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row_count = res[0]
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if row_count == 0:
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return dg.AssetCheckResult(
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passed=False, metadata={"message": "Order aggregation check failed"}
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)
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return dg.AssetCheckResult(
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passed=True, metadata={"message": "Order aggregation check passed"}
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)
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@@ -0,0 +1,13 @@
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import dagster as dg
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from dagster_duckdb import DuckDBResource
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database_resource = DuckDBResource(database="/tmp/jaffle_platform.duckdb")
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@dg.definitions
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def resources():
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return dg.Definitions(
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resources={
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"duckdb": database_resource,
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}
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)
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@@ -0,0 +1,17 @@
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from typing import Union
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import dagster as dg
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# @dg.schedule(cron_schedule="@daily", target="*")
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# def schedules(context: dg.ScheduleEvaluationContext) -> Union[dg.RunRequest, dg.SkipReason]:
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# return dg.SkipReason("Skipping. Change this to return a RunRequest to launch a run.")
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@dg.schedule(cron_schedule="* * * * *", target="*")
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def tutorial_schedule(
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context: dg.ScheduleEvaluationContext,
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) -> Union[dg.RunRequest, dg.SkipReason]:
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return dg.SkipReason(
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"Skipping. Change this to return a RunRequest to launch a run."
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)
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1
dagster/examples/dagster_tutorial/tests/__init__.py
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1
dagster/examples/dagster_tutorial/tests/__init__.py
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2699
dagster/examples/dagster_tutorial/uv.lock
generated
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2699
dagster/examples/dagster_tutorial/uv.lock
generated
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