SVG generation updates

[n-h-diaz]

Based on reviewing in dev, made a few tweaks to hierarchy generation

• Attach constrained SVs to a fully qualified SVG (ie with both property and value). This is to avoid intermediate SVGs from containing SVs that should have been placed in a child SVG
• Match basic 0-constraint SVs to verticals by mprop as well. (This is still deterministic per import, but produces a slightly cleaner hierarchy, especially at upper levels) Note that non-basic SVs will still generate an intermediate population group before attempting to match to verticals

Latest iteration is currently on dev

[gemini-code-assist]

Code Review

This pull request updates the statistical variable group generation logic in stat_var_group_generator.py to support observationProperties (specifically measuredProperty) when matching and generating SVGs, and updates the end-to-end tests to verify these changes. The review feedback highlights two critical issues in the BigQuery SQL queries: a potential runtime error when unnesting a NULL observationProperties array, and a logic bug where equality comparisons with NULL prevent zero-constraint SVs from matching vertical specs that do not define observation properties.

[codacy-production]

Up to standards ✅

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