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doc updates for pydantic

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John Lancaster
2026-07-31 10:12:34 -05:00
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docs/ver2/V2 Context for DB Updates.md
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@@ -8,8 +8,8 @@ This application is a family history archival and transcription platform. Its pr
## Technical Stack & Architecture
* **Database:** PostgreSQL 13+ with native `UUID` (`gen_random_uuid()`) and `JSONB` columns.
* **Backend Runtime / Concurrency:** Python utilizing `asyncio` for concurrent HTTP API calls to AI providers, with strict rate-limiting via `asyncio.Semaphore`.
* **Validation & Types:** TypeScript with **Zod** schema definitions. Incoming AI responses must be parsed and validated with Zod schemas *before* database insertion.
* **ORM / Database Access:** Raw parameterized SQL queries or lightweight query builders (e.g., Kysely/Prisma) respecting PostgreSQL native types.
* **Validation & Types:** Python with **Pydantic** model definitions. Incoming AI responses must be parsed and validated with Pydantic models *before* database insertion.
* **ORM / Database Access:** SQLModel and SQLAlchemy, using parameterized statements and PostgreSQL-native types.
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