Automated Parser Generation and Serialization - Githubissues

NREL / BuildingMOTIF

Building Metadata OnTology Interoperability Framework (BuildingMOTIF). For models, see https://models.open223.info/

https://buildingmotif.readthedocs.io/

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Automated Parser Generation and Serialization #333

Open dllliu opened 4 months ago

dllliu commented 4 months ago

Package parser/serialization/metrics work into SerializedParserMetrics class
Pre processing/clustering for building point labels with DBScan
Parsers dynamically ran via dynamic module loading at runtime to obtain emitted tokens
Multiple abbreviation list support (tools to merge/sort abbreviations)

Checklist

[x] Example notebook showcasing how to use
[x] Unit tests for SerializedParserMetrics class
[x] Detailed Documentation for relevant functions and SerializedParserMetrics class
[x] Exception Handling for file/io errors, not enough points to cluster, invalid llm output
[x] Parser and Serializer work has been combined

Notes

Schikit-Learn requires Python version of at least 3.9
Other added packages are: langchain, langchain-community, pyenchant, scikit-learn
Running all unit tests will take longer (SerializedParserMetrics class takes time to populate)

gtfierro commented 4 months ago

Hey @dllliu and @TShapinsky -- does this incorporate changes from any outstanding PRs? I want to make sure my review sticks to @dllliu's code

TShapinsky commented 4 months ago

Hey @dllliu and @TShapinsky -- does this incorporate changes from any outstanding PRs? I want to make sure my review sticks to @dllliu's code

There's a cherrypicked commit from the create parser UI branch which fixes the serialization. Besides that, no