antlr-tsql
Development
ANTLR 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.
Build the grammar
docker build -t antlr_tsql .
docker run -it -v ${PWD}:/usr/src/app antlr_tsql make build
Set up the Python module
Now that the Python parsing files are available, you can install them with pip
:
pip install -r requirements.txt
pip install -e .
And parse SQL code in Python:
from antlr_tsql import ast
ast.parse("SELECT a from b")
Using the AST viewer
If you're actively developing on the ANLTR grammar or the tree shaping, it's a good idea to set up the AST viewer locally so you can immediately see the impact of your changes in a visual way.
- Clone the ast-viewer repo and build the Docker image according to the instructions.
- Spin up a docker container that volume mounts the Python package, symlink-installs the package and runs the server on port 3000:
docker run -it \
-u root \
-v ~/workspace/antlr-tsql:/app/app/antlr-tsql \
-p 3000:3000 \
ast-viewer \
/bin/bash -c "echo 'Install development requirements in development:' \
&& pip install --no-deps -e app/antlr-tsql \
&& python3 run.py"
When simultaneously developing other packages, volume mount and install those too:
docker run -it \
-u root \
-v ~/workspace/antlr-ast:/app/app/antlr-ast \
-v ~/workspace/antlr-plsql:/app/app/antlr-plsql \
-v ~/workspace/antlr-tsql:/app/app/antlr-tsql \
-p 3000:3000 \
ast-viewer \
/bin/bash -c "echo 'Install development requirements in development:' \
&& pip install --no-deps -e app/antlr-ast \
&& pip install --no-deps -e app/antlr-plsql \
&& pip install --no-deps -e app/antlr-tsql \
&& python3 run.py"
- If you update the tree shaping logic in this repo, the app will auto-update.
- 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.
Run tests
docker build -t antlr_tsql .
docker run -t antlr_tsql make build test
Or run the test locally, first build the grammar then run:
pytest
Travis deployment
- Builds the Docker image.
- Runs the Docker image to build the grammar and run the unit tests.
- Deploys the resulting python files to PyPi when a new release is made, so they can be installed easily.