Ballerina Toml Library
This library provides APIs to convert a TOML configuration file to json, and vice-versa.
Since the parser is following LL(1) grammar, it follows a non-recursive predictive parsing algorithm which operates in a linear time complexity.
Issues and projects
The Issues and Projects tabs are disabled for this repository as this is part of the Ballerina Standard Library. To report bugs, request new features, start new discussions, view project boards, etc., go to the Ballerina Standard Library parent repository.
This repository contains only the source code of the package.
Build from the source
Set up the prerequisites
-
Download and install Java SE Development Kit (JDK) version 17 (from one of the following locations).
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Export your Github Personal access token with the read package permissions as follows.
export packageUser=<Username> export packagePAT=<Personal access token>
Build the source
Execute the commands below to build from source.
-
To build the library:
./gradlew clean build
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To run the integration tests:
./gradlew clean test
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To build the module without the tests:
./gradlew clean build -x test
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To debug module implementation:
./gradlew clean build -Pdebug=<port> ./gradlew clean test -Pdebug=<port>
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To debug the module with Ballerina language:
./gradlew clean build -PbalJavaDebug=<port> ./gradlew clean test -PbalJavaDebug=<port>
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Publish ZIP artifact to the local
.m2
repository:./gradlew clean build publishToMavenLocal
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Publish the generated artifacts to the local Ballerina central repository:
./gradlew clean build -PpublishToLocalCentral=true
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Publish the generated artifacts to the Ballerina central repository:
./gradlew clean build -PpublishToCentral=true
Contribute to Ballerina
As an open source project, Ballerina welcomes contributions from the community.
For more information, go to the contribution guidelines.
Code of conduct
All contributors are encouraged to read the Ballerina Code of Conduct.
Useful links
- Chat live with us via our Discord server.
- Post all technical questions on Stack Overflow with the #ballerina tag.
- For more information go to the
toml
library. - For example demonstrations of the usage, go to Ballerina By Examples.