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LoadModels.java
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/*
* Copyright 2022 RelationalAI, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License"): you may
* not use this file except in compliance with the License. You may obtain
* a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*/
package com.relationalai.examples;
import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.util.HashMap;
import com.relationalai.Client;
import com.relationalai.Config;
import com.relationalai.HttpError;
import com.relationalai.Json;
public class LoadModels implements Runnable {
String database, engine, filename, relation, profile;
// Returns the name of the file, without extension.
static String sansext(String fname) {
var file = new File(fname);
var name = file.getName();
var dot = name.lastIndexOf('.');
if (dot > 0)
name = name.substring(0, dot);
return name;
}
public void parseArgs(String[] args) {
var c = Command.create("LoadModel")
.addArgument("database")
.addArgument("engine")
.addArgument("file")
.addOption("profile", "config profile (default: default)")
.parseArgs(args);
this.database = c.getValue("database");
this.engine = c.getValue("engine");
this.filename = c.getValue("file");
this.profile = c.getValue("profile");
}
public void run(String[] args) throws HttpError, InterruptedException, IOException {
parseArgs(args);
var cfg = Config.loadConfig("~/.rai/config", profile);
var client = new Client(cfg);
var name = sansext(filename);
var input = new String(new FileInputStream(filename).readAllBytes(), StandardCharsets.UTF_8);
var models = new HashMap<String, String>() {{
put(name, input);
}};
var rsp = client.loadModels(database, engine, models);
System.out.println(rsp);
}
}