261 lines
7.4 KiB
TypeScript
261 lines
7.4 KiB
TypeScript
/**
|
|
* Message Writer
|
|
*
|
|
* Copyright (C) 2010-2019 R-T Specialty, LLC.
|
|
*
|
|
* This file is part of liza.
|
|
*
|
|
* liza is free software: you can redistribute it and/or modify
|
|
* it under the terms of the GNU General Public License as published by
|
|
* the Free Software Foundation, either version 3 of the License, or
|
|
* (at your option) any later version.
|
|
*
|
|
* This program is distributed in the hope that it will be useful,
|
|
* but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
* GNU General Public License for more details.
|
|
*
|
|
* You should have received a copy of the GNU General Public License
|
|
* along with this program. If not, see <http://www.gnu.org/licenses/>.
|
|
*
|
|
* Write a message to be published to a queue
|
|
*/
|
|
import { DocumentMeta } from '../../document/Document';
|
|
import { Delta } from '../../bucket/delta';
|
|
import { AvroEncoderCtr } from '../avro/AvroFactory';
|
|
import { AvroSchema } from 'avro-js';
|
|
import { MessageWriter } from '../MessageWriter';
|
|
import { context } from '../../error/ContextError';
|
|
|
|
|
|
export class V1MessageWriter implements MessageWriter
|
|
{
|
|
/** A mapping of which delta type translated to which avro event */
|
|
readonly DELTA_MAP: Record<string, string> = {
|
|
data: 'STEP_SAVE',
|
|
ratedata: 'RATE',
|
|
};
|
|
|
|
|
|
/**
|
|
* Delta publisher
|
|
*
|
|
* @param _encoder_ctr - a factory function to create an avro encoder
|
|
* @param _conn - the amqp connection
|
|
*/
|
|
constructor(
|
|
private readonly _encoder_ctor: AvroEncoderCtr,
|
|
private readonly _schema: AvroSchema,
|
|
) {}
|
|
|
|
|
|
/**
|
|
* Write the data to a message
|
|
*
|
|
* @param ts - timestamp
|
|
* @param meta - document meta data
|
|
* @param delta - current delta
|
|
* @param bucket - data bucket
|
|
* @param ratedata - ratedata bucket
|
|
*/
|
|
write(
|
|
ts: UnixTimestamp,
|
|
meta: DocumentMeta,
|
|
delta: Delta<any>,
|
|
bucket: Record<string, any>,
|
|
ratedata: Record<string, any>,
|
|
): Promise<Buffer>
|
|
{
|
|
const avro_object = this._avroFormat(
|
|
ts,
|
|
meta,
|
|
delta,
|
|
bucket,
|
|
ratedata,
|
|
);
|
|
|
|
return this.avroEncode( avro_object );
|
|
}
|
|
|
|
|
|
/**
|
|
* Format the avro data with data type labels
|
|
*
|
|
* @param ts - timestamp
|
|
* @param meta - document meta data
|
|
* @param delta - current delta
|
|
* @param bucket - data bucket
|
|
* @param ratedata - ratedata bucket
|
|
*
|
|
* @return the formatted data
|
|
*/
|
|
private _avroFormat(
|
|
ts: UnixTimestamp,
|
|
meta: DocumentMeta,
|
|
delta: Delta<any>,
|
|
bucket: Record<string, any>,
|
|
ratedata: Record<string, any>,
|
|
): any
|
|
{
|
|
const delta_formatted = this.setDataTypes( delta.data );
|
|
const bucket_formatted = this.setDataTypes( bucket );
|
|
const ratedata_formatted = this.setDataTypes( ratedata );
|
|
const event_id = this.DELTA_MAP[ delta.type ];
|
|
const start_date_ms = { "long": meta.startDate * 1000 };
|
|
const last_update_ms = { "long": meta.lastUpdate * 1000 };
|
|
|
|
return {
|
|
event: {
|
|
id: event_id,
|
|
ts: ts,
|
|
actor: 'SERVER',
|
|
step: null,
|
|
},
|
|
document: {
|
|
id: meta.id,
|
|
created: start_date_ms,
|
|
modified: last_update_ms,
|
|
},
|
|
session: {
|
|
Session: {
|
|
entity_id: meta.entity_id,
|
|
entity_name: meta.entity_name,
|
|
},
|
|
},
|
|
data: {
|
|
Data: {
|
|
bucket: bucket_formatted,
|
|
},
|
|
},
|
|
ratedata: {
|
|
Data: {
|
|
bucket: ratedata_formatted,
|
|
},
|
|
},
|
|
delta: {
|
|
Data: {
|
|
bucket: delta_formatted,
|
|
},
|
|
},
|
|
program: {
|
|
Program: {
|
|
id: 'quote_server',
|
|
version: '',
|
|
},
|
|
},
|
|
}
|
|
}
|
|
|
|
|
|
/**
|
|
* Encode the data in an avro buffer
|
|
*
|
|
* @param data - the data to encode
|
|
*
|
|
* @return the avro buffer or null if there is an error
|
|
*/
|
|
avroEncode( data: Record<string, any> ): Promise<Buffer>
|
|
{
|
|
return new Promise<Buffer>( ( resolve, reject ) =>
|
|
{
|
|
const bufs: Buffer[] = [];
|
|
|
|
try
|
|
{
|
|
this._schema.isValid(
|
|
data,
|
|
{
|
|
errorHook: ( keys: any, vals: any) =>
|
|
{
|
|
throw context(
|
|
new Error( 'Invalid Avro Schema' ),
|
|
{
|
|
invalid_paths: keys,
|
|
invalid_data: vals,
|
|
}
|
|
);
|
|
}
|
|
}
|
|
);
|
|
|
|
const encoder = this._encoder_ctor( this._schema )
|
|
|
|
encoder.on('data', ( buf: Buffer ) => { bufs.push( buf ) } )
|
|
encoder.on('error', ( err: Error ) => { reject( err ); } )
|
|
encoder.on('end', () => { resolve( Buffer.concat( bufs ) ) } )
|
|
encoder.end( data );
|
|
}
|
|
catch ( e )
|
|
{
|
|
reject( e );
|
|
}
|
|
} );
|
|
}
|
|
|
|
|
|
/**
|
|
* Format the data for avro by add type specifications to the data
|
|
*
|
|
* @param data - the data to format
|
|
* @param top_level - whether we are at the top level of the recursion
|
|
*
|
|
* @return the formatted data
|
|
*/
|
|
setDataTypes( data: any, top_level: boolean = true ): any
|
|
{
|
|
let data_formatted: any = {};
|
|
|
|
switch( typeof( data ) )
|
|
{
|
|
case 'object':
|
|
if ( data == null )
|
|
{
|
|
return null;
|
|
}
|
|
else if ( Array.isArray( data ) )
|
|
{
|
|
let arr: any[] = [];
|
|
|
|
data.forEach( ( datum ) =>
|
|
{
|
|
arr.push( this.setDataTypes( datum, false ) );
|
|
} );
|
|
|
|
data_formatted = ( top_level )
|
|
? arr
|
|
: { 'array': arr };
|
|
}
|
|
else
|
|
{
|
|
let datum_formatted: any = {};
|
|
|
|
Object.keys( data).forEach( ( key: string ) =>
|
|
{
|
|
const datum = this.setDataTypes( data[ key ], false );
|
|
|
|
datum_formatted[ key ] = datum;
|
|
|
|
} );
|
|
|
|
data_formatted = ( top_level )
|
|
? datum_formatted
|
|
: { 'map': datum_formatted };
|
|
}
|
|
break;
|
|
|
|
case 'boolean':
|
|
return { 'boolean': data };
|
|
|
|
case 'number':
|
|
return { 'double': data };
|
|
|
|
case 'string':
|
|
return { 'string': data };
|
|
|
|
case 'undefined':
|
|
return null;
|
|
}
|
|
|
|
return data_formatted;
|
|
}
|
|
} |