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# Modelica Builder | ||
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The Modelica Builder project aims to make in-place modifications to Modelica language files easier. | ||
The principal use case is to load, modify using higher level abstracted methods, and then save the | ||
resulting file. The user has access to the entire Abstract Syntax Tree of the entire Modelica grammar. | ||
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The Modelica Builder project does not: | ||
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* Compile nor check for syntax validity | ||
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## Install | ||
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`pip install modelica-builder` | ||
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## Usage | ||
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ModBuild provides specific methods for reading and modifying files. | ||
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```python | ||
from modelica_builder.model import Model | ||
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# parse the model file | ||
source_file = 'DCMotor.mo' | ||
model = Model(source_file) | ||
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# do read and modify the model | ||
# refer to modelica_builder.model.Model class methods to see what's available | ||
name = model.get_name() | ||
model.set_name('New' + name) | ||
model.add_connect('some.component.port_a', 'another.component.port_b') | ||
model.insert_component('MyComponentType', 'myInst', | ||
modifications={'arg1': '1234'}, string_comment='my comment', | ||
annotations=['my annotation'], insert_index=0) | ||
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# save the result | ||
model.save_as('NewDCMotor.mo') | ||
``` | ||
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You can also define your own classes for editing the file | ||
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```python | ||
from modelica_builder.edit import Edit | ||
from modelica_builder.selector import Selector | ||
from modelica_builder.transformation import SimpleTransformation | ||
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class MySelector(Selector): | ||
# implement class for selecting AST nodes | ||
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# define the edit to make to the node's text and combine it with the selector | ||
edit = Edit.make_replace('FOOBAR') | ||
selector = MySelector() | ||
transformation = SimpleTransformation(selector, edit) | ||
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model = Model('my_modelica_file.mo') | ||
# add your custom transformation | ||
model.add(transformation) | ||
model.save_as('result.mo') | ||
``` | ||
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Transformations specify what nodes to change and how to change them. This is done by combining | ||
Selectors and Edits. Selectors specify how to select nodes in the AST, and edits are modifications | ||
(insert, replace, delete) to the text of selected nodes. | ||
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A Transformer is a collection of Transformations, which can then be applied to a file. | ||
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See the tests for more examples and information. | ||
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## Development | ||
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For developers, dependency management is through [Poetry](https://python-poetry.org/docs/). Installation is accomplished by running `pip install poetry`. | ||
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```bash | ||
pip install poetry | ||
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# install after cloning repo | ||
poetry install | ||
``` | ||
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If you change the source grammar file you need to regenerate the parser and lexer. | ||
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With docker installed, run these commands from this the repo's root directory | ||
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```bash | ||
# build Antlr container | ||
docker build -t antlr4:latest -f antlr/Dockerfile . | ||
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# run parser generator for python | ||
docker run -v "$(pwd)/modelica_builder/modelica_parser":/var/antlrResult \ | ||
antlr4:latest \ | ||
-Dlanguage=Python3 /var/antlrResult/modelica.g4 | ||
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# commit results along with grammar file | ||
``` | ||
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If not using Docker, install antlr4 following [these instructions](https://github.com/antlr/antlr4/blob/master/doc/getting-started.md#installation). | ||
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```bash | ||
# in modelica_building/modelica_parser | ||
antlr4 -Dlanguage=Python3 modelica.g4 | ||
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# commit results along with grammar file | ||
``` | ||
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## Managed Tasks | ||
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### Updating Licenses | ||
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To apply the copyright/license to all the files, run the following managed task. To update, then update the | ||
script, and then rerun the managed task. | ||
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```bash | ||
./setup.py update_licenses | ||
``` | ||
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### Testing | ||
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To run the tests, simply run the following: | ||
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```bash | ||
poetry run pytest | ||
``` | ||
### Known Issues | ||
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* The transformations occur on strings which are immutable. Need to investigate using byte arrays. This does not cause errors, but can be slow when parsing really large modelica files. | ||
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## Release Instructions | ||
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1. Bump version to <NEW_VERSION> in pyproject.toml (use semantic versioning, e.g., 0.5.0, 0.5.1.rc1). | ||
1. Run `poetry run pre-commit run --all-files` | ||
1. In a prep-release branch, push the changes to GitHub and draft a release against the latest branch. | ||
* Run 'auto-generate changelog' and copy the contents to the CHANGELOG.md. Cull any items that are repeated. | ||
* Discard the draft release (you will create an official one off of the main branch later) | ||
1. Merge the prep-release branch into develop. | ||
1. From command line, merge develop into main with: `git checkout main; git pull; git merge --ff-only origin develop; git push` | ||
1. In GitHub, tag the release against main. Copy and paste the changelog entry into the notes. Verify the release is posted to PyPI. |
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