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* AI Query Validation Engine
* Validate queries with helpful corrections and suggestions
*/
import type { CubeMetadata } from '../types/metadata'
import type { SemanticQuery, Filter } from '../types/query'
import { findBestFieldMatch } from './discovery'
/**
* Validation result with corrections
*/
export interface ValidationResult {
isValid: boolean
errors: ValidationError[]
warnings: ValidationWarning[]
correctedQuery?: SemanticQuery
}
/**
* Validation error with optional correction
*/
export interface ValidationError {
type: 'cube_not_found' | 'measure_not_found' | 'dimension_not_found' | 'invalid_filter' | 'invalid_time_dimension' | 'syntax_error'
message: string
field?: string
suggestion?: string
correctedValue?: string
}
/**
* Validation warning (query will work but may have issues)
*/
export interface ValidationWarning {
type: 'ambiguous_field' | 'performance' | 'best_practice'
message: string
field?: string
suggestion?: string
}
/**
* Levenshtein distance for fuzzy matching (copied from discovery for standalone use)
*/
function levenshteinDistance(a: string, b: string): number {
const matrix: number[][] = []
for (let i = 0; i <= b.length; i++) {
matrix[i] = [i]
}
for (let j = 0; j <= a.length; j++) {
matrix[0][j] = j
}
for (let i = 1; i <= b.length; i++) {
for (let j = 1; j <= a.length; j++) {
if (b.charAt(i - 1) === a.charAt(j - 1)) {
matrix[i][j] = matrix[i - 1][j - 1]
} else {
matrix[i][j] = Math.min(
matrix[i - 1][j - 1] + 1,
matrix[i][j - 1] + 1,
matrix[i - 1][j] + 1
)
}
}
}
return matrix[b.length][a.length]
}
/**
* Find closest match for a field name
*/
function findClosestField(
fieldName: string,
availableFields: string[]
): { field: string; distance: number } | null {
let bestMatch: { field: string; distance: number } | null = null
for (const field of availableFields) {
const distance = levenshteinDistance(fieldName.toLowerCase(), field.toLowerCase())
// Allow matches within reasonable edit distance (e.g., typos)
Iif (distance <= 3 && (!bestMatch || distance < bestMatch.distance)) {
bestMatch = { field, distance }
}
}
return bestMatch
}
/**
* Validate a measure reference
*/
function validateMeasure(
measure: string,
metadata: CubeMetadata[],
errors: ValidationError[],
corrections: Map<string, string>
): void {
const parts = measure.split('.')
Iif (parts.length !== 2) {
errors.push({
type: 'syntax_error',
message: `Invalid measure format: '${measure}'. Expected 'CubeName.measureName'`,
field: measure
})
return
}
const [cubeName, measureName] = parts
const cube = metadata.find(c => c.name === cubeName)
Iif (!cube) {
// Try to find similar cube name
const cubeNames = metadata.map(c => c.name)
const closest = findClosestField(cubeName, cubeNames)
if (closest) {
errors.push({
type: 'cube_not_found',
message: `Cube '${cubeName}' not found`,
field: measure,
suggestion: `Did you mean '${closest.field}'?`,
correctedValue: `${closest.field}.${measureName}`
})
corrections.set(measure, `${closest.field}.${measureName}`)
} else {
errors.push({
type: 'cube_not_found',
message: `Cube '${cubeName}' not found`,
field: measure,
suggestion: `Available cubes: ${cubeNames.join(', ')}`
})
}
return
}
const measureExists = cube.measures.some(m => m.name === measure)
Iif (!measureExists) {
// Try fuzzy match using discovery
const match = findBestFieldMatch(metadata, measureName, 'measure')
if (match && match.cube === cubeName) {
errors.push({
type: 'measure_not_found',
message: `Measure '${measureName}' not found on cube '${cubeName}'`,
field: measure,
suggestion: `Did you mean '${match.field}'?`,
correctedValue: match.field
})
corrections.set(measure, match.field)
} else {
const availableMeasures = cube.measures.map(m => m.name.split('.').pop()!)
const closest = findClosestField(measureName, availableMeasures)
if (closest) {
const correctedField = `${cubeName}.${closest.field}`
errors.push({
type: 'measure_not_found',
message: `Measure '${measureName}' not found on cube '${cubeName}'`,
field: measure,
suggestion: `Did you mean '${closest.field}'?`,
correctedValue: correctedField
})
corrections.set(measure, correctedField)
} else {
errors.push({
type: 'measure_not_found',
message: `Measure '${measureName}' not found on cube '${cubeName}'`,
field: measure,
suggestion: `Available measures: ${availableMeasures.slice(0, 5).join(', ')}${availableMeasures.length > 5 ? '...' : ''}`
})
}
}
}
}
/**
* Validate a dimension reference
*/
function validateDimension(
dimension: string,
metadata: CubeMetadata[],
errors: ValidationError[],
corrections: Map<string, string>
): void {
const parts = dimension.split('.')
Iif (parts.length !== 2) {
errors.push({
type: 'syntax_error',
message: `Invalid dimension format: '${dimension}'. Expected 'CubeName.dimensionName'`,
field: dimension
})
return
}
const [cubeName, dimensionName] = parts
const cube = metadata.find(c => c.name === cubeName)
Iif (!cube) {
const cubeNames = metadata.map(c => c.name)
const closest = findClosestField(cubeName, cubeNames)
if (closest) {
errors.push({
type: 'cube_not_found',
message: `Cube '${cubeName}' not found`,
field: dimension,
suggestion: `Did you mean '${closest.field}'?`,
correctedValue: `${closest.field}.${dimensionName}`
})
corrections.set(dimension, `${closest.field}.${dimensionName}`)
} else {
errors.push({
type: 'cube_not_found',
message: `Cube '${cubeName}' not found`,
field: dimension,
suggestion: `Available cubes: ${cubeNames.join(', ')}`
})
}
return
}
const dimensionExists = cube.dimensions.some(d => d.name === dimension)
if (!dimensionExists) {
const match = findBestFieldMatch(metadata, dimensionName, 'dimension')
Iif (match && match.cube === cubeName) {
errors.push({
type: 'dimension_not_found',
message: `Dimension '${dimensionName}' not found on cube '${cubeName}'`,
field: dimension,
suggestion: `Did you mean '${match.field}'?`,
correctedValue: match.field
})
corrections.set(dimension, match.field)
} else {
const availableDimensions = cube.dimensions.map(d => d.name.split('.').pop()!)
const closest = findClosestField(dimensionName, availableDimensions)
Iif (closest) {
const correctedField = `${cubeName}.${closest.field}`
errors.push({
type: 'dimension_not_found',
message: `Dimension '${dimensionName}' not found on cube '${cubeName}'`,
field: dimension,
suggestion: `Did you mean '${closest.field}'?`,
correctedValue: correctedField
})
corrections.set(dimension, correctedField)
} else {
errors.push({
type: 'dimension_not_found',
message: `Dimension '${dimensionName}' not found on cube '${cubeName}'`,
field: dimension,
suggestion: `Available dimensions: ${availableDimensions.slice(0, 5).join(', ')}${availableDimensions.length > 5 ? '...' : ''}`
})
}
}
}
}
/**
* Validate filters recursively
*/
function validateFilters(
filters: Filter[],
metadata: CubeMetadata[],
errors: ValidationError[],
corrections: Map<string, string>
): void {
for (const filter of filters) {
// Handle logical filters (AND/OR)
Iif ('and' in filter && Array.isArray(filter.and)) {
validateFilters(filter.and, metadata, errors, corrections)
continue
}
Iif ('or' in filter && Array.isArray(filter.or)) {
validateFilters(filter.or, metadata, errors, corrections)
continue
}
// Handle simple filter
Eif ('member' in filter) {
const member = filter.member
const parts = member.split('.')
Iif (parts.length !== 2) {
errors.push({
type: 'invalid_filter',
message: `Invalid filter member format: '${member}'`,
field: member
})
continue
}
const [cubeName, fieldName] = parts
const cube = metadata.find(c => c.name === cubeName)
Iif (!cube) {
const cubeNames = metadata.map(c => c.name)
const closest = findClosestField(cubeName, cubeNames)
if (closest) {
corrections.set(member, `${closest.field}.${fieldName}`)
}
errors.push({
type: 'cube_not_found',
message: `Cube '${cubeName}' not found in filter`,
field: member,
suggestion: closest ? `Did you mean '${closest.field}'?` : undefined,
correctedValue: closest ? `${closest.field}.${fieldName}` : undefined
})
continue
}
// Check if member is a valid dimension or measure
const isDimension = cube.dimensions.some(d => d.name === member)
const isMeasure = cube.measures.some(m => m.name === member)
Iif (!isDimension && !isMeasure) {
const allFields = [
...cube.dimensions.map(d => d.name.split('.').pop()!),
...cube.measures.map(m => m.name.split('.').pop()!)
]
const closest = findClosestField(fieldName, allFields)
if (closest) {
const correctedField = `${cubeName}.${closest.field}`
corrections.set(member, correctedField)
errors.push({
type: 'invalid_filter',
message: `Filter field '${fieldName}' not found on cube '${cubeName}'`,
field: member,
suggestion: `Did you mean '${closest.field}'?`,
correctedValue: correctedField
})
} else {
errors.push({
type: 'invalid_filter',
message: `Filter field '${fieldName}' not found on cube '${cubeName}'`,
field: member
})
}
}
}
}
}
/**
* Validate funnel query structure
*/
function validateFunnelQuery(
query: SemanticQuery,
metadata: CubeMetadata[],
errors: ValidationError[],
warnings: ValidationWarning[],
corrections: Map<string, string>
): void {
const funnel = query.funnel
Iif (!funnel) return
// Required fields
if (!funnel.bindingKey) {
errors.push({
type: 'syntax_error',
message: 'funnel.bindingKey is required'
})
E} else if (typeof funnel.bindingKey === 'string') {
validateDimension(funnel.bindingKey, metadata, errors, corrections)
}
Iif (!funnel.timeDimension) {
errors.push({
type: 'syntax_error',
message: 'funnel.timeDimension is required'
})
E} else if (typeof funnel.timeDimension === 'string') {
validateDimension(funnel.timeDimension, metadata, errors, corrections)
}
Iif (!funnel.steps || !Array.isArray(funnel.steps)) {
errors.push({
type: 'syntax_error',
message: 'funnel.steps array is required'
})
} else if (funnel.steps.length < 2) {
errors.push({
type: 'syntax_error',
message: 'funnel requires at least 2 steps'
})
} else {
// Validate each step's filter
for (let i = 0; i < funnel.steps.length; i++) {
const step = funnel.steps[i]
Iif (!step.name) {
warnings.push({
type: 'best_practice',
message: `Step ${i + 1} is missing a name`,
suggestion: 'Add descriptive names to funnel steps'
})
}
Eif (step.filter && 'member' in step.filter) {
validateFilters([step.filter], metadata, errors, corrections)
}
}
}
}
/**
* Validate flow query structure
*/
function validateFlowQuery(
query: SemanticQuery,
metadata: CubeMetadata[],
errors: ValidationError[],
warnings: ValidationWarning[],
corrections: Map<string, string>
): void {
const flow = query.flow
Iif (!flow) return
Iif (!flow.bindingKey) {
errors.push({
type: 'syntax_error',
message: 'flow.bindingKey is required'
})
E} else if (typeof flow.bindingKey === 'string') {
validateDimension(flow.bindingKey, metadata, errors, corrections)
}
Iif (!flow.timeDimension) {
errors.push({
type: 'syntax_error',
message: 'flow.timeDimension is required'
})
E} else if (typeof flow.timeDimension === 'string') {
validateDimension(flow.timeDimension, metadata, errors, corrections)
}
if (!flow.eventDimension) {
errors.push({
type: 'syntax_error',
message: 'flow.eventDimension is required'
})
E} else if (typeof flow.eventDimension === 'string') {
validateDimension(flow.eventDimension, metadata, errors, corrections)
}
if (flow.stepsBefore === undefined && flow.stepsAfter === undefined) {
warnings.push({
type: 'best_practice',
message: 'Neither stepsBefore nor stepsAfter specified',
suggestion: 'Set stepsBefore and/or stepsAfter to see event sequences'
})
}
}
/**
* Validate retention query structure
*/
function validateRetentionQuery(
query: SemanticQuery,
metadata: CubeMetadata[],
errors: ValidationError[],
warnings: ValidationWarning[],
corrections: Map<string, string>
): void {
const retention = query.retention
Iif (!retention) return
Iif (!retention.bindingKey) {
errors.push({
type: 'syntax_error',
message: 'retention.bindingKey is required'
})
E} else if (typeof retention.bindingKey === 'string') {
validateDimension(retention.bindingKey, metadata, errors, corrections)
}
if (!retention.timeDimension) {
errors.push({
type: 'syntax_error',
message: 'retention.timeDimension is required'
})
E} else if (typeof retention.timeDimension === 'string') {
validateDimension(retention.timeDimension, metadata, errors, corrections)
}
if (!retention.granularity) {
warnings.push({
type: 'best_practice',
message: 'retention.granularity not specified',
suggestion: 'Specify granularity: "day", "week", or "month"'
})
}
if (!retention.periods) {
warnings.push({
type: 'best_practice',
message: 'retention.periods not specified',
suggestion: 'Specify number of periods to analyze'
})
}
}
/**
* Validate a query with helpful corrections
*/
export function validateQuery(
query: SemanticQuery,
metadata: CubeMetadata[]
): ValidationResult {
const errors: ValidationError[] = []
const warnings: ValidationWarning[] = []
const corrections: Map<string, string> = new Map()
// Detect query type and validate accordingly
if (query.funnel) {
validateFunnelQuery(query, metadata, errors, warnings, corrections)
// Skip standard validation for funnel queries
return {
isValid: errors.length === 0,
errors,
warnings,
correctedQuery: undefined // Funnel corrections not implemented yet
}
}
if (query.flow) {
validateFlowQuery(query, metadata, errors, warnings, corrections)
return {
isValid: errors.length === 0,
errors,
warnings,
correctedQuery: undefined
}
}
if (query.retention) {
validateRetentionQuery(query, metadata, errors, warnings, corrections)
return {
isValid: errors.length === 0,
errors,
warnings,
correctedQuery: undefined
}
}
// Validate measures
Eif (query.measures) {
for (const measure of query.measures) {
validateMeasure(measure, metadata, errors, corrections)
}
}
// Validate dimensions
if (query.dimensions) {
for (const dimension of query.dimensions) {
validateDimension(dimension, metadata, errors, corrections)
}
}
// Validate timeDimensions
Iif (query.timeDimensions) {
for (const timeDim of query.timeDimensions) {
validateDimension(timeDim.dimension, metadata, errors, corrections)
// Check that the dimension is a time type
const [cubeName] = timeDim.dimension.split('.')
const cube = metadata.find(c => c.name === cubeName)
if (cube) {
const dimension = cube.dimensions.find(d => d.name === timeDim.dimension)
if (dimension && dimension.type !== 'time') {
warnings.push({
type: 'best_practice',
message: `Dimension '${timeDim.dimension}' is not a time type (it's '${dimension.type}')`,
field: timeDim.dimension,
suggestion: 'Use a dimension with type "time" for timeDimensions'
})
}
}
}
}
// Validate filters
Iif (query.filters) {
validateFilters(query.filters, metadata, errors, corrections)
}
// Check for empty query
Iif (!query.measures?.length && !query.dimensions?.length) {
errors.push({
type: 'syntax_error',
message: 'Query must have at least one measure or dimension'
})
}
// Performance warnings
Iif (query.measures && query.measures.length > 10) {
warnings.push({
type: 'performance',
message: `Query has ${query.measures.length} measures, which may impact performance`,
suggestion: 'Consider splitting into multiple queries'
})
}
Iif (query.dimensions && query.dimensions.length > 5) {
warnings.push({
type: 'performance',
message: `Query has ${query.dimensions.length} dimensions, which may produce many rows`,
suggestion: 'Consider adding filters or reducing dimensions'
})
}
// Build corrected query if we have corrections
let correctedQuery: SemanticQuery | undefined
Iif (corrections.size > 0) {
const clonedQuery: SemanticQuery = JSON.parse(JSON.stringify(query)) // Deep clone
if (clonedQuery.measures) {
clonedQuery.measures = clonedQuery.measures.map(m => corrections.get(m) || m)
}
if (clonedQuery.dimensions) {
clonedQuery.dimensions = clonedQuery.dimensions.map(d => corrections.get(d) || d)
}
if (clonedQuery.timeDimensions) {
clonedQuery.timeDimensions = clonedQuery.timeDimensions.map(td => ({
...td,
dimension: corrections.get(td.dimension) || td.dimension
}))
}
// Note: Filter corrections would require recursive update
correctedQuery = clonedQuery
}
return {
isValid: errors.length === 0,
errors,
warnings,
correctedQuery: corrections.size > 0 ? correctedQuery : undefined
}
}
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