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ML - Fixed script formatting for prediction (#11767)
* Fixed script formatting for prediction
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114
extensions/machine-learning/src/prediction/queries.ts
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114
extensions/machine-learning/src/prediction/queries.ts
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/*---------------------------------------------------------------------------------------------
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* Copyright (c) Microsoft Corporation. All rights reserved.
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* Licensed under the Source EULA. See License.txt in the project root for license information.
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*--------------------------------------------------------------------------------------------*/
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import * as utils from '../common/utils';
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import { PredictColumn, DatabaseTable } from './interfaces';
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export function getTableColumnsScript(databaseTable: DatabaseTable): string {
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return `
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SELECT COLUMN_NAME,DATA_TYPE
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FROM INFORMATION_SCHEMA.COLUMNS
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WHERE TABLE_NAME='${utils.doubleEscapeSingleQuotes(databaseTable.tableName)}'
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AND TABLE_SCHEMA='${utils.doubleEscapeSingleQuotes(databaseTable.schema)}'
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AND TABLE_CATALOG='${utils.doubleEscapeSingleQuotes(databaseTable.databaseName)}'
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`;
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}
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export function getTablesScript(databaseName: string): string {
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return `
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SELECT TABLE_NAME,TABLE_SCHEMA
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FROM INFORMATION_SCHEMA.TABLES
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WHERE TABLE_TYPE = 'BASE TABLE' AND TABLE_CATALOG='${utils.doubleEscapeSingleQuotes(databaseName)}'
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`;
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}
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export function getPredictScriptWithModelId(
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modelId: number,
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columns: PredictColumn[],
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outputColumns: PredictColumn[],
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sourceTable: DatabaseTable,
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importTable: DatabaseTable): string {
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const threePartTableName = utils.getRegisteredModelsThreePartsName(importTable.databaseName || '', importTable.tableName || '', importTable.schema || '');
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return `
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DECLARE @model VARBINARY(max) = (
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SELECT model
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FROM ${threePartTableName}
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WHERE model_id = ${modelId}
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);
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WITH predict_input
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AS (
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SELECT TOP 1000
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${getInputColumnNames(columns, 'pi')}
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FROM [${utils.doubleEscapeSingleBrackets(sourceTable.databaseName)}].[${sourceTable.schema}].[${utils.doubleEscapeSingleBrackets(sourceTable.tableName)}] AS pi
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)
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SELECT
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${getPredictColumnNames(columns, 'predict_input')},
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${getPredictInputColumnNames(outputColumns, 'p')}
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FROM PREDICT(MODEL = @model, DATA = predict_input, runtime=onnx)
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WITH (
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${getOutputParameters(outputColumns)}
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) AS p
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`;
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}
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export function getPredictScriptWithModelBytes(
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modelBytes: string,
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columns: PredictColumn[],
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outputColumns: PredictColumn[],
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databaseNameTable: DatabaseTable): string {
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return `
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WITH predict_input
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AS (
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SELECT TOP 1000
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${getInputColumnNames(columns, 'pi')}
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FROM [${utils.doubleEscapeSingleBrackets(databaseNameTable.databaseName)}].[${databaseNameTable.schema}].[${utils.doubleEscapeSingleBrackets(databaseNameTable.tableName)}] AS pi
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)
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SELECT
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${getPredictColumnNames(columns, 'predict_input')},
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${getPredictInputColumnNames(outputColumns, 'p')}
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FROM PREDICT(MODEL = ${modelBytes}, DATA = predict_input, runtime=onnx)
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WITH (
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${getOutputParameters(outputColumns)}
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) AS p
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`;
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}
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export function getEscapedColumnName(tableName: string, columnName: string): string {
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return `[${utils.doubleEscapeSingleBrackets(tableName)}].[${utils.doubleEscapeSingleBrackets(columnName)}]`;
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}
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export function getInputColumnNames(columns: PredictColumn[], tableName: string) {
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return columns.map(c => {
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const column = getEscapedColumnName(tableName, c.columnName);
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let columnName = c.dataType !== c.paramType ? `CAST(${column} AS ${c.paramType})`
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: `${column}`;
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return `${columnName} AS ${c.paramName}`;
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}).join(',\n ');
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}
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export function getPredictInputColumnNames(columns: PredictColumn[], tableName: string) {
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return columns.map(c => {
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return getColumnName(tableName, c.paramName || '', c.columnName);
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}).join(',\n ');
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}
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export function getColumnName(tableName: string, columnName: string, displayName: string) {
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const column = getEscapedColumnName(tableName, columnName);
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return columnName && columnName !== displayName ?
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`${column} AS [${utils.doubleEscapeSingleBrackets(displayName)}]` : column;
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}
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export function getPredictColumnNames(columns: PredictColumn[], tableName: string) {
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return columns.map(c => {
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return c.paramName ? `${getEscapedColumnName(tableName, c.paramName)}`
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: `${getEscapedColumnName(tableName, c.columnName)}`;
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}).join(',\n');
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}
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export function getOutputParameters(columns: PredictColumn[]) {
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return columns.map(c => {
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return `${c.paramName} ${c.dataType}`;
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}).join(',\n');
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}
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