[Suvinthomas]

Description

Added a new ManifestValidator to validate manifest files before extraction processing. The validator performs:

Validation of required manifest properties and property data types.
Validation that at least one dimension and measure are specified.
Validation of measure and constraint definitions.
Validation of supported output formats.
Validation of constraint values against Metadata API domains.
Validation of requested years against Metadata API year scope definitions, with support for:
( and prior)
( onwards)
Explicit year lists
Generation of warnings where year scope validation cannot be performed due to missing or unsupported metadata formats.

Also added a comprehensive pytest suite covering:

Valid manifests
Missing required properties
Missing dimensions/measures
Invalid measure and constraint definitions
Invalid output formats
Constraint domain validation
Metadata lookup failures
Year scope validation scenarios and warning generation

This provides early validation of manifest configuration before extraction execution and aligns with the manifest validation requirements discussed with architecture.

Unit tests/Pytests :

[scottbw]

This is a great start.

However I think its also worth adding:

• ERROR: if a constraint has allowedValues that is an empty list
• ERROR: if 'aggregation' attribute is present on a measure but is not one of sum, avg, min, max, count
• ERROR: if there are duplicate dimensions

[Suvinthomas]

@scottbw I have addressd the above error validations and added couple more pytests

[scottbw]

Looks good @Suvinthomas !