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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,133 @@ | ||
| // Copyright 2024 Google LLC | ||
| // | ||
| // 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 | ||
| // | ||
| // https://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. | ||
|
|
||
| import * as protobuf from 'protobufjs'; | ||
| import * as protos from '../../protos/protos'; | ||
| import {normalizeDescriptor} from '../adapt/proto'; | ||
| import * as extend from 'extend'; | ||
|
|
||
| type IDescriptorProto = protos.google.protobuf.IDescriptorProto; | ||
| type DescriptorProto = protos.google.protobuf.DescriptorProto; | ||
|
|
||
| const DescriptorProto = protos.google.protobuf.DescriptorProto; | ||
| const {Type} = protobuf; | ||
|
|
||
| /** | ||
| * Internal class used by the JSONWriter to convert JSON data to protobuf messages. | ||
| * It can be configure to do some data conversion to match what BigQuery expects. | ||
| * | ||
| * @class | ||
| * @memberof managedwriter | ||
| */ | ||
| export class JSONEncoder { | ||
| private _type: protobuf.Type = Type.fromJSON('root', { | ||
| fields: {}, | ||
| }); | ||
|
|
||
| /** | ||
| * Creates a new JSONEncoder instance. | ||
| * | ||
| * @param {Object} params - The parameters for the JSONEncoder. | ||
| * @param {IDescriptorProto} params.protoDescriptor - The proto descriptor | ||
| * for the JSON rows. | ||
| */ | ||
| constructor(params: {protoDescriptor: IDescriptorProto}) { | ||
| const {protoDescriptor} = params; | ||
| this.setProtoDescriptor(protoDescriptor); | ||
| } | ||
|
|
||
| /** | ||
| * Update the proto descriptor for the Encoder. | ||
| * | ||
| * @param {IDescriptorProto} protoDescriptor - The proto descriptor. | ||
| */ | ||
| setProtoDescriptor(protoDescriptor: IDescriptorProto): void { | ||
| const normalized = normalizeDescriptor( | ||
| new DescriptorProto(protoDescriptor) | ||
| ); | ||
| this._type = Type.fromDescriptor(normalized); | ||
| } | ||
|
|
||
| /** | ||
| * Writes a JSONList that contains objects to be written to the BigQuery table by first converting | ||
| * the JSON data to protobuf messages, then using Writer's appendRows() to write the data at current end | ||
| * of stream. If there is a schema update, the current Writer is closed and reopened with the updated schema. | ||
| * | ||
| * @param {JSONList} rows - The list of JSON rows. | ||
| * @returns {Uint8Array[]} The encoded rows. | ||
| */ | ||
| encodeRows(rows: any[]): Uint8Array[] { | ||
| const serializedRows = rows | ||
| .map(r => { | ||
| return this.convertRow(r); | ||
| }) | ||
| .map(r => { | ||
| return this.encodeRow(r); | ||
| }); | ||
| return serializedRows; | ||
| } | ||
|
|
||
| private isPlainObject(value: any): boolean { | ||
| return value && [undefined, Object].includes(value.constructor); | ||
| } | ||
|
|
||
| private encodeRow(row: any): Uint8Array { | ||
| const msg = this._type.create(row); | ||
| return this._type.encode(msg).finish(); | ||
| } | ||
|
|
||
| private convertRow(source: any): Object { | ||
| const row = extend(true, {}, source); | ||
| for (const key in row) { | ||
| const value = row[key]; | ||
| if (value === null) { | ||
| continue; | ||
| } | ||
| if (value instanceof Date) { | ||
| const pfield = this._type.fields[key]; | ||
| if (!pfield) { | ||
| continue; | ||
| } | ||
| switch (pfield.type) { | ||
| case 'int32': // DATE | ||
| // The value is the number of days since the Unix epoch (1970-01-01) | ||
| row[key] = value.getTime() / (1000 * 60 * 60 * 24); | ||
| break; | ||
| case 'int64': // TIMESTAMP | ||
| // The value is given in microseconds since the Unix epoch (1970-01-01) | ||
| row[key] = value.getTime() * 1000; | ||
| break; | ||
| case 'string': // DATETIME | ||
| row[key] = value.toJSON().replace(/^(.*)T(.*)Z$/, '$1 $2'); | ||
| break; | ||
| } | ||
| continue; | ||
| } | ||
| if (Array.isArray(value)) { | ||
| row[key] = value.map(v => { | ||
| if (!this.isPlainObject(v)) { | ||
| return v; | ||
| } | ||
| return this.convertRow(v); | ||
| }); | ||
| continue; | ||
| } | ||
| if (this.isPlainObject(value)) { | ||
| row[key] = this.convertRow(value); | ||
| continue; | ||
| } | ||
| } | ||
| return row; | ||
| } | ||
| } | ||
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