Files
spark/ts/spark.cli.ts
T

228 lines
8.1 KiB
TypeScript

import * as plugins from './spark.plugins.ts';
import * as paths from './spark.paths.ts';
import { Spark } from './spark.classes.spark.ts';
import { logger } from './spark.logging.ts';
type TSparkCliArgv = Record<string, string | boolean | undefined>;
export const runCli = () => {
const smartshellInstance = new plugins.smartshell.Smartshell({
executor: 'bash',
});
const sparkInstance = new Spark();
const smartcliInstance = new plugins.smartcli.Smartcli();
smartcliInstance.standardCommand().subscribe(() => {
logger.log('info', 'no action specified! you can type:');
logger.log('info', '* installdaemon');
logger.log('info', '* metrics');
});
smartcliInstance.addCommand('installdaemon').subscribe(async (argvArg) => {
logger.log('ok', 'we are apparently not running as daemon yet');
logger.log('info', 'trying to set this up now');
await persistDaemonOptions(sparkInstance, argvArg);
const sparkService = await sparkInstance.smartdaemon.addService({
name: 'spark',
version: sparkInstance.sparkInfo.projectInfo.version,
command: 'spark asdaemon',
description: 'spark daemon service',
workingDir: paths.packageDir,
});
await sparkService.save();
await sparkService.enable();
await sparkService.start();
});
smartcliInstance.addCommand('updatedaemon').subscribe(async (argvArg) => {
logger.log('ok', 'we are apparently trying to update the daemon for spark');
logger.log('info', 'trying to set this up now');
await persistDaemonOptions(sparkInstance, argvArg);
const sparkService = await sparkInstance.smartdaemon.addService({
name: 'spark',
version: sparkInstance.sparkInfo.projectInfo.version,
command: 'spark asdaemon',
description: 'spark daemon service',
workingDir: paths.packageDir,
});
await sparkService.reload();
});
smartcliInstance.addCommand('asdaemon').subscribe(async (argvArg) => {
logger.log('success', 'looks like we are running as daemon now');
logger.log('info', 'starting spark in daemon mode');
await persistDaemonOptions(sparkInstance, argvArg);
// lets determine the mode if specified
let mode = readArg(argvArg, 'mode');
if (mode === 'cloudly') {
await sparkInstance.sparkConfig.kvStore.writeKey('mode', 'cloudly');
} else if (mode === 'coreflow-node') {
await sparkInstance.sparkConfig.kvStore.writeKey('mode', 'coreflow-node');
} else if (mode) {
logger.log('error', 'unknown mode specified');
Deno.exit(1);
} else {
// mode is not specified by cli, lets get it from the config
mode = await sparkInstance.sparkConfig.kvStore.readKey('mode');
}
if (!mode) {
logger.log('error', 'no mode specified by either cli or config');
Deno.exit(1);
} else if (mode === 'cloudly') {
sparkInstance.sparkUpdateManager.services.push({
name: `cloudly`,
image: `code.foss.global/serve.zone/cloudly`,
url: `cloudly`,
environment: `production`,
port: `3000`,
secretJson: {
SERVEZONE_PORT: `3000`,
SERVEZONE_ENVIRONMENT: `production`,
},
});
} else if (mode === 'coreflow-node') {
const cloudlyUrl = await readOption(sparkInstance, argvArg, 'cloudlyUrl', 'cloudly-url', 'CLOUDLY_URL');
const jumpcode = await readOption(sparkInstance, argvArg, 'jumpcode', 'jumpCode', 'JUMPCODE');
if (!cloudlyUrl || !jumpcode) {
logger.log('error', 'coreflow-node mode requires CLOUDLY_URL/cloudlyUrl and JUMPCODE/jumpcode');
Deno.exit(1);
}
sparkInstance.sparkUpdateManager.services.push({
name: `coreflow`,
image: `code.foss.global/serve.zone/coreflow`,
url: `coreflow`,
environment: `production`,
port: `3000`,
secretJson: {
SERVEZONE_PORT: `3000`,
SERVEZONE_ENVIRONMENT: `production`,
CLOUDLY_URL: cloudlyUrl,
JUMPCODE: jumpcode,
},
});
}
await sparkInstance.daemonStart();
});
smartcliInstance.addCommand('metrics').subscribe(async () => {
const metrics = await sparkInstance.sparkMetricsCollector.collectMetrics();
console.log(plugins.smartjson.stringify(metrics));
});
smartcliInstance.addCommand('logs').subscribe(async () => {
await smartshellInstance.exec(`journalctl -u smartdaemon_spark -f`);
});
smartcliInstance.addCommand('prune').subscribe(async () => {
// daemon
await smartshellInstance.exec(`systemctl stop smartdaemon_spark`);
logger.log('ok', 'stopped serverconfig daemon');
await plugins.smartdelay.delayFor(5000);
// services
await smartshellInstance.exec(`docker stack rm $(docker stack ls -q)`);
logger.log('ok', 'removed docker stacks');
await plugins.smartdelay.delayFor(5000);
// services
await smartshellInstance.exec(`docker service rm $(docker service ls -q)`);
logger.log('ok', 'removed docker services');
await plugins.smartdelay.delayFor(5000);
// secrets
await smartshellInstance.exec(`docker secret rm $(docker secret ls -q)`);
logger.log('ok', 'removed docker secrets');
await plugins.smartdelay.delayFor(5000);
// networks
await smartshellInstance.exec(`docker network rm szncorechat sznwebgateway`);
logger.log('ok', 'removed docker networks');
await plugins.smartdelay.delayFor(5000);
await smartshellInstance.exec(`docker system prune -af`);
logger.log('ok', 'pruned docker system');
await plugins.smartdelay.delayFor(5000);
// restart docker
await smartshellInstance.exec(`systemctl restart docker`);
logger.log('ok', 'restarted the docker service');
await plugins.smartdelay.delayFor(5000);
// serverconfig daemon
await smartshellInstance.exec(`systemctl start smartdaemon_spark`);
logger.log('ok', 'handed over control back to serverconfig daemon');
});
smartcliInstance.startParse();
};
const persistDaemonOptions = async (sparkInstance: Spark, argvArg: TSparkCliArgv) => {
const mode = readArg(argvArg, 'mode');
if (mode) {
await sparkInstance.sparkConfig.kvStore.writeKey('mode', mode);
}
const cloudlyUrl = readArg(argvArg, 'cloudlyUrl')
|| readArg(argvArg, 'cloudly-url')
|| Deno.env.get('CLOUDLY_URL');
if (cloudlyUrl) {
await sparkInstance.sparkConfig.kvStore.writeKey('cloudlyUrl', cloudlyUrl);
}
const jumpcode = readArg(argvArg, 'jumpcode') || readArg(argvArg, 'jumpCode') || Deno.env.get('JUMPCODE');
if (jumpcode) {
await sparkInstance.sparkConfig.kvStore.writeKey('jumpcode', jumpcode);
}
const nodeId = readArg(argvArg, 'nodeId') || readArg(argvArg, 'node-id') || Deno.env.get('SPARK_NODE_ID');
if (nodeId) {
await sparkInstance.sparkConfig.kvStore.writeKey('nodeId', nodeId);
}
const nodeToken = readArg(argvArg, 'nodeToken')
|| readArg(argvArg, 'node-token')
|| Deno.env.get('SPARK_NODE_TOKEN');
if (nodeToken) {
await sparkInstance.sparkConfig.kvStore.writeKey('nodeToken', nodeToken);
}
const enableHostUpdates = readArg(argvArg, 'enableHostUpdates')
|| readArg(argvArg, 'enable-host-updates');
if (typeof enableHostUpdates !== 'undefined') {
await sparkInstance.sparkConfig.kvStore.writeKey('enableHostUpdates', String(enableHostUpdates));
}
const heartbeatIntervalMs = readArg(argvArg, 'heartbeatIntervalMs')
|| readArg(argvArg, 'heartbeat-interval-ms');
if (heartbeatIntervalMs) {
await sparkInstance.sparkConfig.kvStore.writeKey('heartbeatIntervalMs', String(heartbeatIntervalMs));
}
};
const readOption = async (
sparkInstance: Spark,
argvArg: TSparkCliArgv,
primaryKey: string,
secondaryKey: string,
envKey: string,
) => {
return readArg(argvArg, primaryKey)
|| readArg(argvArg, secondaryKey)
|| Deno.env.get(envKey)
|| await sparkInstance.sparkConfig.kvStore.readKey(primaryKey)
|| await sparkInstance.sparkConfig.kvStore.readKey(secondaryKey);
};
const readArg = (argvArg: TSparkCliArgv, keyArg: string) => {
const value = argvArg[keyArg];
if (typeof value === 'string') {
return value;
}
if (typeof value === 'boolean') {
return String(value);
}
return undefined;
};