data and metadata inventory stuff
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# Countydata inventory
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Inventory date: 2026-07-15. All inspection was performed with read-only
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transactions and aggregate queries; no identifiers were exported.
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Inventory date: 2026-07-15; live schema revalidated 2026-07-21. All inspection
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was performed with read-only transactions, metadata queries, aggregate queries,
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and bounded JSON field-path sampling; no identifier values were exported.
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## Live access and full-schema boundary
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The July 21 validation connected successfully from this VS Code workspace using
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TLS 1.3 and a session forced into read-only mode. It found 24 visible non-system
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relations in `countydata`. The repeatable metadata-only inventory is
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`scripts/inventory_metadata.py`, exposed as the VS Code task **Countydata:
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inventory metadata safely**.
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The analytical `data` schema contains 10 normalized tables. Four
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`fdw_countydata` relations and the `fdw_data.dmv_tax_record*` relations are
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source mirrors rather than additional populations. The remaining operational
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relations contain API-key names and secrets, application usernames/emails and
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password hashes, invitations, sessions, IP addresses, event logs, upload
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contents, and ingest state. Their field names were inventoried, but their row
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values were not read because they are unrelated to the project and sensitive.
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A bounded raw-JSON field-path sample found vehicle attributes plus VIN and
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plate identifiers, station/certificate/calibration fields, technician-license
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numbers, odometer, engine/fuel/GVWR/transmission fields, DTC/PID arrays,
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readiness monitors, MIL state, and visual inspection results. No owner-name
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field was observed in that sample. This does not prove that every historical
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source file has the same shape, so raw JSON remains private and out of the
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public application.
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## Accessible databases
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