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* Filter Builder
* Handles all filter-related SQL generation:
* - Individual filter conditions (equals, contains, gt, etc.)
* - Logical filter combinations (AND/OR)
* - Date and array operators
*/
import {
and,
or,
eq,
ne,
gt,
gte,
lt,
lte,
isNull,
isNotNull,
inArray,
notInArray,
SQL,
type AnyColumn,
arrayContains as drizzleArrayContains,
arrayContained as drizzleArrayContained,
arrayOverlaps as drizzleArrayOverlaps
} from 'drizzle-orm'
import type {
FilterOperator,
Filter,
FilterCondition,
Cube,
QueryContext
} from '../types'
import { resolveSqlExpression } from '../cube-utils'
import type { DatabaseAdapter } from '../adapters/base-adapter'
import { DateTimeBuilder } from './date-time-builder'
export class FilterBuilder {
constructor(
private databaseAdapter: DatabaseAdapter,
private dateTimeBuilder: DateTimeBuilder
) {}
/**
* Build filter condition using Drizzle operators
*/
buildFilterCondition(
fieldExpr: AnyColumn | SQL,
operator: FilterOperator,
values: any[],
field?: any,
dateRange?: string | string[]
): SQL | null {
// Handle dateRange for date filters
if (dateRange !== undefined) {
// Validate: dateRange only works with inDateRange operator
if (operator !== 'inDateRange') {
throw new Error(
`dateRange can only be used with 'inDateRange' operator, but got '${operator}'. ` +
`Use explicit date values in the 'values' array for other date operators.`
)
}
// Validate: field must be a time dimension
if (field && field.type !== 'time') {
throw new Error(
`dateRange can only be used on time dimensions, but field '${field.name || 'unknown'}' has type '${field.type}'`
)
}
// Use existing buildDateRangeCondition logic - dateRange takes precedence over values
return this.dateTimeBuilder.buildDateRangeCondition(fieldExpr, dateRange)
}
// Handle empty values
if (!values || values.length === 0) {
// For empty equals filter, return condition that matches nothing
if (operator === 'equals') {
return this.databaseAdapter.buildBooleanLiteral(false)
}
return null
}
// Filter out empty/null values and values containing null bytes for security
// For date operators, don't convert values yet - we'll normalize to Date first
const filteredValues = values.filter(v => {
if (v === null || v === undefined || v === '') return false
// Reject values containing null bytes for security
if (typeof v === 'string' && v.includes('\x00')) return false
return true
}).map(this.databaseAdapter.convertFilterValue)
// For certain operators, we need at least one non-empty value
if (filteredValues.length === 0 && !['set', 'notSet'].includes(operator)) {
// For empty equals filter, return condition that matches nothing
if (operator === 'equals') {
return this.databaseAdapter.buildBooleanLiteral(false)
}
return null
}
const value = filteredValues[0]
switch (operator) {
case 'equals':
if (filteredValues.length > 1) {
// For time-type fields, normalize all values
if (field?.type === 'time') {
const normalizedValues = filteredValues.map(v => this.dateTimeBuilder.normalizeDate(v) || v)
return inArray(fieldExpr as AnyColumn, normalizedValues)
}
return inArray(fieldExpr as AnyColumn, filteredValues)
E} else if (filteredValues.length === 1) {
// For time-type fields, normalize the single value
const finalValue = field?.type === 'time' ? this.dateTimeBuilder.normalizeDate(value) || value : value
return eq(fieldExpr as AnyColumn, finalValue)
}
return this.databaseAdapter.buildBooleanLiteral(false)
case 'notEquals':
if (filteredValues.length > 1) {
return notInArray(fieldExpr as AnyColumn, filteredValues)
E} else if (filteredValues.length === 1) {
return ne(fieldExpr as AnyColumn, value)
}
return null
case 'contains':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'contains', value)
case 'notContains':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'notContains', value)
case 'startsWith':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'startsWith', value)
case 'endsWith':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'endsWith', value)
case 'gt':
return gt(fieldExpr as AnyColumn, value)
case 'gte':
return gte(fieldExpr as AnyColumn, value)
case 'lt':
return lt(fieldExpr as AnyColumn, value)
case 'lte':
return lte(fieldExpr as AnyColumn, value)
case 'set':
return isNotNull(fieldExpr as AnyColumn)
case 'notSet':
return isNull(fieldExpr as AnyColumn)
case 'inDateRange':
if (filteredValues.length >= 2) {
const startDate = this.dateTimeBuilder.normalizeDate(filteredValues[0])
let endDate = this.dateTimeBuilder.normalizeDate(filteredValues[1])
if (startDate && endDate) {
// For date-only strings in original values, treat end date as end-of-day
// Check original values array (before filtering/conversion)
const originalEndValue = values[1]
if (typeof originalEndValue === 'string' && /^\d{4}-\d{2}-\d{2}$/.test(originalEndValue.trim())) {
const endDateObj = typeof endDate === 'number'
? new Date(endDate * (this.databaseAdapter.getEngineType() === 'sqlite' ? 1000 : 1))
: new Date(endDate)
const endOfDay = new Date(endDateObj)
endOfDay.setUTCHours(23, 59, 59, 999)
if (this.databaseAdapter.isTimestampInteger()) {
endDate = this.databaseAdapter.getEngineType() === 'sqlite'
? Math.floor(endOfDay.getTime() / 1000)
: endOfDay.getTime()
} else {
// PostgreSQL and MySQL need ISO strings
endDate = endOfDay.toISOString()
}
}
return and(
gte(fieldExpr as AnyColumn, startDate),
lte(fieldExpr as AnyColumn, endDate)
) as SQL
}
}
return null
case 'beforeDate': {
const beforeValue = this.dateTimeBuilder.normalizeDate(value)
if (beforeValue) {
return lt(fieldExpr as AnyColumn, beforeValue)
}
return null
}
case 'afterDate': {
const afterValue = this.dateTimeBuilder.normalizeDate(value)
if (afterValue) {
return gt(fieldExpr as AnyColumn, afterValue)
}
return null
}
case 'between':
if (filteredValues.length >= 2) {
return and(
gte(fieldExpr as AnyColumn, filteredValues[0]),
lte(fieldExpr as AnyColumn, filteredValues[1])
) as SQL
}
return null
case 'notBetween':
if (filteredValues.length >= 2) {
return or(
lt(fieldExpr as AnyColumn, filteredValues[0]),
gt(fieldExpr as AnyColumn, filteredValues[1])
) as SQL
}
return null
case 'in':
Eif (filteredValues.length > 0) {
return inArray(fieldExpr as AnyColumn, filteredValues)
}
return null
case 'notIn':
Eif (filteredValues.length > 0) {
return notInArray(fieldExpr as AnyColumn, filteredValues)
}
return null
case 'like':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'like', value)
case 'notLike':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'notLike', value)
case 'ilike':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'ilike', value)
case 'regex':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'regex', value)
case 'notRegex':
return this.databaseAdapter.buildStringCondition(fieldExpr, 'notRegex', value)
case 'isEmpty':
return or(
isNull(fieldExpr as AnyColumn),
eq(fieldExpr as AnyColumn, '')
) as SQL
case 'isNotEmpty':
return and(
isNotNull(fieldExpr as AnyColumn),
ne(fieldExpr as AnyColumn, '')
) as SQL
// PostgreSQL array operators - silent no-op for other databases
// These use Drizzle's built-in array operator functions
case 'arrayContains':
if (this.databaseAdapter.getEngineType() === 'postgres') {
return drizzleArrayContains(fieldExpr as AnyColumn, filteredValues)
}
return null
case 'arrayOverlaps':
if (this.databaseAdapter.getEngineType() === 'postgres') {
return drizzleArrayOverlaps(fieldExpr as AnyColumn, filteredValues)
}
return null
case 'arrayContained':
if (this.databaseAdapter.getEngineType() === 'postgres') {
return drizzleArrayContained(fieldExpr as AnyColumn, filteredValues)
}
return null
default:
return null
}
}
/**
* Build a logical filter (AND/OR) - used by executor for cache preloading
* This handles nested filter structures and builds combined SQL
*/
buildLogicalFilter(
filter: Filter,
cubes: Map<string, Cube>,
context: QueryContext
): SQL | null {
if ('and' in filter && filter.and) {
const conditions = filter.and
.map(f => this.buildSingleFilter(f, cubes, context))
.filter((c): c is SQL => c !== null)
return conditions.length > 0
? (conditions.length === 1 ? conditions[0] : and(...conditions) as SQL)
: null
}
if ('or' in filter && filter.or) {
const conditions = filter.or
.map(f => this.buildSingleFilter(f, cubes, context))
.filter((c): c is SQL => c !== null)
return conditions.length > 0
? (conditions.length === 1 ? conditions[0] : or(...conditions) as SQL)
: null
}
return null
}
/**
* Build SQL for a single filter condition (simple or logical)
* Used for cache preloading to build filters independently of query context
*/
buildSingleFilter(
filter: Filter,
cubes: Map<string, Cube>,
context: QueryContext
): SQL | null {
// Handle logical filters recursively
if ('and' in filter || 'or' in filter) {
return this.buildLogicalFilter(filter, cubes, context)
}
// Simple filter
const fc = filter as FilterCondition
const [cubeName, fieldName] = fc.member.split('.')
const cube = cubes.get(cubeName)
if (!cube) return null
const dimension = cube.dimensions?.[fieldName]
if (!dimension) return null
const fieldExpr = resolveSqlExpression(dimension.sql, context)
return this.buildFilterCondition(
fieldExpr,
fc.operator,
fc.values,
dimension,
fc.dateRange
)
}
}
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