sindri/source/main.ts

/**
 */
async function main(
	args_raw : Array<string>
) : Promise<void>
{
	const outputs : Record<string, type_output> = {
		"sqlite": output_sqlite,
		"mysql": output_mysql,
		"typescript": output_typescript,
		"jsonschema": output_jsonschema,
	};
	
	const arg_handler = new lib_plankton.args.class_handler(
		{
			"format": new lib_plankton.args.class_argument({
				"name": "format",
				"type": lib_plankton.args.enum_type.string,
				"kind": lib_plankton.args.enum_kind.volatile,
				"mode": lib_plankton.args.enum_mode.replace,
				"default": "sqlite",
				"parameters": {
					"indicators_long": ["format"],
					"indicators_short": ["f"],
				},
				"info": "output format",
			}),
			"schema": new lib_plankton.args.class_argument({
				"name": "schema",
				"type": lib_plankton.args.enum_type.boolean,
				"kind": lib_plankton.args.enum_kind.volatile,
				"mode": lib_plankton.args.enum_mode.replace,
				"default": false,
				"parameters": {
					"indicators_long": ["schema"],
					"indicators_short": ["s"],
				},
				"info": "print sindri JSON schema to stdout and exit",
			}),
			"help": new lib_plankton.args.class_argument({
				"name": "help",
				"type": lib_plankton.args.enum_type.boolean,
				"kind": lib_plankton.args.enum_kind.volatile,
				"mode": lib_plankton.args.enum_mode.replace,
				"default": false,
				"parameters": {
					"indicators_long": ["help"],
					"indicators_short": ["h"],
				},
				"info": "print help to stdout and exit",
			}),
		}
	);
	const args : Record<string, any> = arg_handler.read(lib_plankton.args.enum_environment.cli, args_raw.join(" "));
	
	if (args["help"]) {
		process.stdout.write(
			arg_handler.generate_help(
				{
					"programname": "sindri",
					"author": "Christian Fraß <frass@greenscale.de>",
					"description": "create data model scripts in different output formats (MySQL, SQLite, …) on basis of an abstract description; feed with .sindri.json file via stdin!",
					"executable": "sindri",
				}
			)
		);
	}
	else {
		if (args["schema"]) {
			process.stdout.write(
				JSON.stringify(input_schema(), undefined, "\t")
			);
		}
		else {
			const input_content : string = await lib_plankton.file.read_stdin();
			const input_data_raw : any = lib_plankton.json.decode(input_content);
			const input_data : type_input = input_normalize(input_data_raw);
			
			if (! outputs.hasOwnProperty(args["format"])) {
				throw (new Error("unhandled output format: " + args["format"]));
			}
			else {
				const output_content : string = outputs[args["format"]].render(input_data);
				process.stdout.write(output_content);
			}
		}
	}
}

main(process.argv.slice(2));