Fix Frictionless data package validation (FK to geography-keys CSV; enable CI validation)

[ywkim312]

Closes #311

Summary

• Resolves foreign key validation failures when CSV resources referenced shapefiles (FileResource has no row_stream in frictionless-py) — see Frictionless validation breaks on data packages due to shapefile foreign keys #311.
• Adds a tabular *-geography-keys.csv resource per geography (from the same get_blank_dataframe() as the main tables) and points foreignKeys at that CSV instead of the shapefile.
• Removes --skip-validation from the Create Data Packages workflow and drops the DSuite2023-only --skip-foreign-keys workaround.

How to test

1. Local package build + validation (from repo backend/ with FLASK_APP=oeps):

   pip install -e .
   flask create-data-package -c DSuite2018 --overwrite
   flask create-data-package -c DSuite2023 --overwrite

Omit --skip-validation or --skip-foreign-keys. Confirm the command finishes with exit code 0 and the log ends with a validation summary showing 0 errors (tasks include *-geography-keys resources and geo shapefile resources).

Optional — inspect output

Open the generated folder under backend/.temp/data-packages/ (or your --destination) and check data-package.json: main CSV foreignKeys should reference {county|state|tract|zcta}-geography-keys, not geo-* shapefile names.
Confirm data/*-geography-keys.csv files exist next to the main geography CSVs.
CI

After merge, or on this branch: run the Create Data Packages workflow manually (workflow_dispatch) if package_rules did not change (no automatic run). Confirm the job succeeds.

Note on follow-up fixes

Validation is now enforced in CI instead of skipped. The first few runs after this change may surface new failures (e.g. schema/FK mismatches, data edge cases, or frictionless upgrades) that were previously hidden. If a workflow run fails, use the job logs and the generated error-report.json in the package output (when produced) to diagnose, then open a small follow-up PR to adjust package structure or data as needed. That tightening is expected and improves long-term package quality.

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