testing proof of concept #1116
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,286 @@ | ||
| import { parse } from "path"; | ||
|
There was a problem hiding this comment. this file is mostly AI generated version that yield super broken SQL but demonstrates something hat may look kind of close to the end goal |
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| import { cons } from "../../../common/utils/functional/functional"; | ||
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| interface Expression { | ||
| op: string; | ||
| operand?: Expression; | ||
| expression?: Expression; | ||
| name?: string; | ||
| value?: any; | ||
| type?: string; | ||
| setType?: string; | ||
| elements?: any[]; | ||
| attributes?: any[]; | ||
| data?: any[]; | ||
| direction?: string; | ||
| dataName?: string; | ||
| } | ||
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| export function translateExpressionToBigQuery(expr: Expression): string { | ||
| if (!expr || !expr.op) { | ||
| throw new Error("Invalid expression"); | ||
| } | ||
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| const fragments = { | ||
| select: [] as string[], | ||
| from: "`your_table_name`", // Replace with actual table name | ||
| where: [] as string[], | ||
| groupBy: [] as string[], | ||
| orderBy: [] as string[], | ||
| limit: "" | ||
| }; | ||
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| (function parseExpression(e: Expression) { | ||
| switch (e.op) { | ||
| case "apply": | ||
| parseExpression(e.expression!); | ||
| break; | ||
| case "filter": | ||
| fragments.where.push(handleFilter(e)); | ||
| break; | ||
| case "overlap": | ||
| fragments.where.push(handleOverlap(e)); | ||
| break; | ||
| case "literal": | ||
| fragments.select.push(handleLiteral(e)); | ||
| break; | ||
| case "ref": | ||
| fragments.select.push(`${handleRef(e)}`); | ||
| if (e.name) fragments.groupBy.push(e.name); | ||
| break; | ||
| case "count": | ||
| fragments.select.push(`COUNT(${handleRef(e.operand!)}) AS ${e.name || 'count'}`); | ||
| break; | ||
| case "sort": | ||
| parseExpression(e.operand!); | ||
| fragments.orderBy.push(`${handleRef(e.expression!)} ${(e.direction || "").toUpperCase()}`); | ||
| break; | ||
| case "limit": | ||
| fragments.limit = `LIMIT ${e.value}`; | ||
| break; | ||
| case "split": | ||
| fragments.select.push(`${handleRef(e.expression!)} AS ${e.name}`); | ||
| fragments.groupBy.push(e.name || ""); | ||
| parseExpression(e.operand!); // in case there are nested operations | ||
| break; | ||
| default: | ||
| throw new Error(`Unsupported operation: ${e.op}`); | ||
| } | ||
|
|
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| if (e.operand) parseExpression(e.operand); | ||
| if (e.expression) parseExpression(e.expression); | ||
| })(expr); | ||
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| const query = [ | ||
| "SELECT", | ||
| fragments.select.join(", "), | ||
| `FROM ${fragments.from}`, | ||
| fragments.where.length ? `WHERE ${fragments.where.join(" AND ")}` : "", | ||
| fragments.groupBy.length ? `GROUP BY ${fragments.groupBy.join(", ")}` : "", | ||
| fragments.orderBy.length ? `ORDER BY ${fragments.orderBy.join(", ")}` : "", | ||
| fragments.limit | ||
| ].filter(Boolean).join(" "); | ||
|
|
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| return query; | ||
| } | ||
|
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| function handleLiteral(expr: Expression): string { | ||
| if (expr.type === "SET" && expr.setType === "TIME_RANGE") { | ||
| const [timeRange] = expr.value.elements; | ||
| return `TIMESTAMP('${timeRange.start}') AND TIMESTAMP('${timeRange.end}')`; | ||
| } else { | ||
| return expr.value.toString(); | ||
| } | ||
| } | ||
|
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| function handleRef(expr: Expression): string { | ||
| return `\`${expr.name}\``; | ||
| } | ||
|
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| function handleFilter(expr: Expression): string { | ||
| const condition = translateExpressionToBigQuery(expr.expression!); | ||
| return condition; | ||
| } | ||
|
|
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| function handleOverlap(expr: Expression): string { | ||
| const operand = handleRef(expr.operand!); | ||
| const overlapExpression = handleLiteral(expr.expression!); | ||
| return `${operand} BETWEEN ${overlapExpression}`; | ||
| } | ||
|
|
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| // Example usage with the provided JSON structure | ||
| const expression: Expression = { | ||
| "op": "apply", | ||
| "operand": { | ||
| "op": "apply", | ||
| "operand": { | ||
| "op": "apply", | ||
| "operand": { | ||
| "op": "apply", | ||
| "operand": { | ||
| "op": "literal", | ||
| "value": { | ||
| "attributes": [], | ||
| "data": [ | ||
| {} | ||
| ] | ||
| }, | ||
| "type": "DATASET" | ||
| }, | ||
| "expression": { | ||
| "op": "filter", | ||
| "operand": { | ||
| "op": "ref", | ||
| "name": "main" | ||
| }, | ||
| "expression": { | ||
| "op": "overlap", | ||
| "operand": { | ||
| "op": "ref", | ||
| "name": "__time" | ||
| }, | ||
| "expression": { | ||
| "op": "literal", | ||
| "value": { | ||
| "setType": "TIME_RANGE", | ||
| "elements": [ | ||
| { | ||
| "start": "2015-12-01T00:01:00.000Z", | ||
| "end": "2016-01-01T00:01:00.000Z" | ||
| } | ||
| ] | ||
| }, | ||
| "type": "SET" | ||
| } | ||
| } | ||
| }, | ||
| "name": "main" | ||
| }, | ||
| "expression": { | ||
| "op": "literal", | ||
| "value": 2592000000 | ||
| }, | ||
| "name": "MillisecondsInInterval" | ||
| }, | ||
| "expression": { | ||
| "op": "count", | ||
| "operand": { | ||
| "op": "ref", | ||
| "name": "main" | ||
| } | ||
| }, | ||
| "name": "count" | ||
| }, | ||
| "expression": { | ||
| "op": "limit", | ||
| "operand": { | ||
| "op": "sort", | ||
| "operand": { | ||
| "op": "apply", | ||
| "operand": { | ||
| "op": "split", | ||
| "operand": { | ||
| "op": "ref", | ||
| "name": "main" | ||
| }, | ||
| "name": "sex", | ||
| "expression": { | ||
| "op": "ref", | ||
| "name": "sex" | ||
| }, | ||
| "dataName": "main" | ||
| }, | ||
| "expression": { | ||
| "op": "count", | ||
| "operand": { | ||
| "op": "ref", | ||
| "name": "main" | ||
| } | ||
| }, | ||
| "name": "count" | ||
| }, | ||
| "expression": { | ||
| "op": "ref", | ||
| "name": "count" | ||
| }, | ||
| "direction": "descending" | ||
| }, | ||
| "value": 100 | ||
| }, | ||
| "name": "SPLIT" | ||
| }; | ||
|
|
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| let n = 0; | ||
| let limit = -1; | ||
| let start; | ||
| let end; | ||
| let timeBucketSize = 0; | ||
| let groupBys: string[] = []; | ||
| const parseExpression = (exp: Expression) => { | ||
| if (!exp) { | ||
| return | ||
| } | ||
| n++; | ||
|
|
||
| parseExpression(exp.operand) | ||
| parseExpression(exp.expression) | ||
|
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| switch (exp.op) { | ||
| case "apply": | ||
| switch (exp.name) { | ||
| case "MillisecondsInInterval": | ||
| timeBucketSize = exp.expression.value | ||
| break; | ||
| default: | ||
| break | ||
| // throw new Error(`Unsupported operation: ${exp.name}`); | ||
| } | ||
| break; | ||
| case "filter": | ||
| // TODO | ||
| break; | ||
| case "overlap": | ||
| switch (exp.expression.value.setType) { | ||
| case "TIME_RANGE": | ||
| start = exp.expression.value.elements[0].start | ||
| end = exp.expression.value.elements[0].end | ||
| break; | ||
| default: | ||
| throw new Error(`Unsupported operation: ${exp.expression.value.setType}`); | ||
| break; | ||
| } | ||
| // console.log(JSON.stringify(exp)) | ||
| break; | ||
| case "literal": | ||
| break; | ||
| case "ref": | ||
| break; | ||
| case "split": | ||
| // console.log(exp) | ||
| groupBys.push(exp.name) | ||
| break; | ||
| case "count": | ||
| break; | ||
| case "sort": | ||
| break; | ||
| case "limit": | ||
| // console.log(exp) | ||
| limit = exp.value | ||
| break; | ||
| default: | ||
| throw new Error(`Unsupported operation: ${exp.op}`); | ||
| } | ||
| } | ||
|
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| // parseExpression(expression) | ||
| // console.log(`groupBys: ${groupBys}`) | ||
| // console.log(`timeBucketSize: ${timeBucketSize}`) | ||
| // console.log(`start: ${start}`) | ||
| // console.log(`end: ${end}`) | ||
| // console.log(`limit: ${limit}`) | ||
|
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| // console.log(`select ${groupBys.map(g => `count(${g})`).join(', ')} from TABLE_NAME group by ${groupBys.join(', ')} order by ${groupBys.join(', ')} desc limit ${limit}`) | ||
|
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| // console.log(n) | ||
| // const sqlQuery = translateExpressionToBigQuery(expression); | ||
| // console.log(sqlQuery); | ||
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i think we can just stub this portion out with whatever BQ jobs we need to get the data, or implement a real data cube API if we wanted