dickensas/smartlexer

Smart way to replace and transform your source code to a different source code using custom transform template

Smart Lexer

Smart way to replace and transform your code to a different code

The primary objective of this utility is to transform parameters and rename functions of an arbitrary source code statically

Mandatory dependencies

Flow Parser

This application uses flow-parser, use the below command to install flow-parser

npm install flow-parser --save

PEG.js

This application uses PEG.js for advanced parsing, use the below command to install PEG.js

npm install pegjs --save

Handlebars

This application uses Handlebars for advanced parsing, use the below command to install Handlebars

npm install handlebars --save

Browserify

This application uses Browserify to make the javascript work in JavaFX as a standalone application

npm install browserify --save
browserify smartlexer.js --standalone smartlexer -v -o > bundle.js

Optional dependencies

JavaFX

Only required for running in GUI
Automatically gets downloaded into local folder, no need to download and install JavaFX.

Example Use Case (SQL)

I have chosen SQL to transform from T-SQL function to PLSQL function

CHARINDEX('t', 'Customer')
INSTR('Customer', 't')

In case, if the function name only needs to be replaced, then it is easy

But, here the parameter 1 becomes 2 and 2 becomes 1

Template Methodology

Currently experimenting with a complicated JSON structure like a database

"template":
[
    {
        "fr":
        {
            "name":"CHARINDEX",
            "args":["1:L","2:L"]
        },
        "to":
        {
            "name":"INSTR",
            "args":["2:L","1:L"]
        }
    }
]

Template syntax reference

Abbreviation	Expansion	Example
I	Identifier	"args":["1:I"]
L	Literal	"args"["1:L"]
CE	CallExpression	"args":["1:CE"]
BE	BinaryExpression	"args":["1:BE"]

This file should be named as "database.json" and put in the root folder or passed as a 3rd parameter

Example Output

⠀

Documentation

Wiki Pages

TODO

• 1 - Rename a CallExpression
• 2 - Shuffle the parameters of CallExpression
• 3 - Change Identifier to Literal
• 4 - Change Literal to Identifier
• 5 - Detect SQL JOIN connectivity
• 6 - Rule engine integration, like drools.... etc
• 7 - Emit functions to the developer for custom code
• 8 - Advanced intent beautifier
• 9 - EXCEL/CSV as template data source
• [-] 10 - Test programming languages like Java, Kotlin, C... etc.,
• 11 - XML transform facility
• 12 - Lex path detection and replace strategy
• 13 - Node.js command line support
• 14 - Parse Simple C++ without missing any tokens
• 15 - PEG.js Testing
• 16 - Mocha Testing
• 17 - Handlebars + PEG.js idea
• 18 - Use handlebars to make the javascript work inside JavaFX
• 19 - fetch syntax to Soap UI XML
• [-] 20 - Python PEG.js Grammer (In Progress)

Usage GUI (Requires Java)

The code is ready to execute

If you have gradle in path, then invoke gradle as

 gradle assemble

If you have wrapper for linux

 ./gradlew assemble

If you have wrapper for windows

 .\gradlew assemble

Then execute bellow task to start the application window

 .\gradlew run

Usage Node.js

 node smartlexer.js <source file> <listener javascript file> <database json file>

Reference

javascript.pegjs from PEG.js examples

License

MIT