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lib/jobs/utils/data-validation

Provides utility functions for validating and normalizing imported data.

This module contains helpers for various data quality and transformation tasks, such as:

• Performing basic structural validation on the parsed data.
• Normalizing date strings into a consistent ISO format.
• Safely accessing and cleaning string values from row objects.
• Extracting and parsing tags from common field names.

Functions

validateRequiredFields()

validateRequiredFields(parsedData, logger): object

Parameters

parsedData

Record<string, unknown>[]

logger

Logger<never>

Returns

object

isValid

isValid: boolean

errors

errors: string[]

parseDate()

parseDate(dateString): string

Parameters

dateString

string | number | Date

Returns

string

safeStringValue()

safeStringValue(row, key): null | string

Parameters

row

Record<string, unknown>

key

string

Returns

null | string

hasValidProperty()

hasValidProperty(obj, key): boolean

Parameters

obj

Record<string, unknown>

key

string

Returns

boolean

parseTagsFromRow()

parseTagsFromRow(row): string[]

Parameters

row

Record<string, unknown>

Returns

string[]