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        "description": "# antlr-tsql\n\n[![Build Status](https://travis-ci.org/datacamp/antlr-tsql.svg?branch=master)](https://travis-ci.org/datacamp/antlr-tsql)\n[![PyPI version](https://badge.fury.io/py/antlr-tsql.svg)](https://badge.fury.io/py/antlr-tsql)\n\n## Development\n\nANTLR requires Java, so we suggest you use Docker when building grammars. The `Makefile` contains directives to clean, build, test and deploy the ANTLR grammar. It does not run Docker itself, so run `make` inside Docker.\n\n### Build the grammar\n\n```bash\n# Build the docker container\ndocker build -t antlr_tsql .\n\n# Run the container to build the python grammar\n# Write parser files to local file system through volume mounting\ndocker run -it -v ${PWD}:/usr/src/app antlr_tsql make build\n```\n\n### Set up the Python module\n\nNow that the Python parsing files are available, you can install them with `pip`:\n\n```bash\npip install -r requirements.txt\npip install -e .\n```\n\nAnd parse SQL code in Python:\n\n```python\nfrom antlr_tsql import ast\nast.parse(\"SELECT a from b\")\n```\n\n### Using the AST viewer\n\nIf you're actively developing on the ANLTR grammar or the tree shaping, it's a good idea to set up the [AST viewer](https://github.com/datacamp/ast-viewer) locally so you can immediately see the impact of your changes in a visual way.\n\n- Clone the ast-viewer repo and build the Docker image according to the instructions.\n- Spin up a docker container that volume mounts the Python package, symlink-installs the package and runs the server on port 3000:\n\n```bash\ndocker run -it \\\n  -u root \\\n  -v ~/workspace/antlr-tsql:/app/app/antlr-tsql \\\n  -p 3000:3000 \\\n  ast-viewer \\\n  /bin/bash -c \"echo 'Install development requirements in development:' \\\n    && pip install --no-deps -e app/antlr-tsql \\\n    && python3 run.py\"\n```\n\nWhen simultaneously developing other packages, volume mount and install those too:\n\n```bash\ndocker run -it \\\n  -u root \\\n  -v ~/workspace/antlr-ast:/app/app/antlr-ast \\\n  -v ~/workspace/antlr-plsql:/app/app/antlr-plsql \\\n  -v ~/workspace/antlr-tsql:/app/app/antlr-tsql \\\n  -p 3000:3000 \\\n  ast-viewer \\\n  /bin/bash -c \"echo 'Install development requirements in development:' \\\n    && pip install --no-deps -e app/antlr-ast \\\n    && pip install --no-deps -e app/antlr-plsql \\\n    && pip install --no-deps -e app/antlr-tsql \\\n    && python3 run.py\"\n```\n\n- If you update the tree shaping logic in this repo, the app will auto-update.\n- If you change the grammar, you will have to first rebuild the grammar (with the `antlr_tsql` docker image) and restart the `ast-viewer` container.\n\n### Run tests\n\n```bash\n# Similar to building the grammar, but running tests\n# and not saving the generated files\ndocker build -t antlr_tsql .\ndocker run -t antlr_tsql make build test\n```\n\nOr run the test locally, first build the grammar then run:\n\n```python\npytest\n```\n\n## Travis deployment\n\n- Builds the Docker image.\n- Runs the Docker image to build the grammar and run the unit tests.\n- Deploys the resulting python files to PyPi when a new release is made, so they can be installed easily.",
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