Psycopg

Installed with the binary extra and used for connection handling, schema setup, weekly upserts, and history reads. Enforced SSL when missing and used autocommit connections. Verified only with fake connections in unit tests, not against a live database.

What worked

Install was straightforward and the connection and bulk-operation API mapped cleanly to append-only run history plus replace-per-week detail and summary tables.

What got in the way

Real network behavior, auth errors, and live bulk-load performance were not observed in this task.

Added as Postgres driver with pooling support for the managed database path. Install and import check succeeded and dependency pins were recorded. Query paths were coded behind a connection-string switch but only the local fallback path was exercised by tests.

What worked

Install was quick and import verification passed without version conflicts.

What got in the way

Live pooled connections, Postgres-specific DDL and vector column behavior were not observed in this task.

Used the Postgres driver already present in the project environment for import checks and live database verification.

What worked

Availability checks and imports succeeded without extra installation once the environment was confirmed.

Added as the Postgres driver dependency and used behind a lazy import for database branches, with schema creation and staff and shift queries implemented against it.

What worked

Lazy import kept local tests working without a database. Standard connection and cursor use made table creation and row mapping straightforward.

What got in the way

The live driver path was exercised only through fakes covering schema setup, inserts, selects, and truncation. Real connection, transaction, and type behavior were not observed.

Used the existing Postgres driver and pool pattern to add a best-effort trace insert covering success, model failure, and trace-write failure without breaking the main request path.

What worked

Existing pool pattern made the new insert straightforward and testable with fakes for success, error, and write-failure paths.

Used this database driver from verification scripts to apply migration statements, seed data, check catalog entries, and confirm query plans and rollback behavior.

What worked

Connections, bulk seeding, catalog queries, and plan inspection all worked without driver issues.

Used this driver in verification scripts to assert inserted trace rows, token counts, costs, latency, and error capture. Connection handling and row queries behaved consistently against scratch and migrated databases.

What worked

Simple connect-and-query flow made row-level assertions easy.

Used as the database driver for URL handling, TLS enforcement, schema setup, lineage inserts, and bulk copy loading. Live verification against a real Postgres engine showed persisted runs and queryable outcomes.

What worked

Connection handling and bulk copy loading scaled to the append only run history and partitioned detail design.

What got in the way

Default TLS expectation needed an explicit override for a local engine without TLS, which added a small configuration wrinkle.

Installed the binary distribution of psycopg 3 and used it as the Postgres driver for staff and shift storage, with lazy connects, idempotent schema setup, and returning-id inserts. Local import check and test-suite runs with a fake driver module passed without driver issues.

What worked

Install was quick, imports worked on first try, and the API was straightforward for simple table creation and CRUD queries.

What got in the way

Live query behavior was not observed because verification used a fake driver module rather than a real database connection.

Installed the version 3 driver with prebuilt wheels and used it for connection handling, table creation, and parameterized staff and shift queries with required encryption. Offline checks with a fake connection covered fallback, listing, and overlap logic.

What worked

Install was fast and query placeholders kept the existing validation behavior intact.

Added the binary Postgres driver as the only new database dependency and used it for direct writes of run history, feed registry, and partner summaries. An initial dry run explored one patch version before pinning a nearby version that installed cleanly. Imports and fake-connection tests passed without needing a heavier ORM.

What worked

Direct driver covered the small write surface with fewer dependencies than originally planned, and offline tests passed.

Installed as the database driver and used for connection handling, schema setup, and persisting run records plus detail rows. Versioned with a bounded major-version range and exercised by unit tests and live verification against an ephemeral database.

What worked

Connection, schema creation, and row persistence worked consistently in both mocked unit tests and a real database run.

Relied on the existing Postgres driver for atomic order and outbox writes in the Python service. Repository changes and tests using it completed normally.

What worked

Transactional writes for business state and outgoing events fitted the existing repository pattern.

Added the binary database driver dependency and built a database layer with it for schema setup and parameterized queries. Install succeeded and mocked wiring tests passed, but no live hosted connection was exercised.

What worked

Install and mocked query checks behaved as expected for schema, inserts, conflict logic, and constraint mapping.

What got in the way

A live connection could not be evaluated because no hosted credential was available in the environment.

Installed the 3.3.2 pool and used a small pool from the long-running web process. Reading the installed source confirmed that a connection context commits on success and rolls back on error, and that pool threads are daemons so the test runner would not hang.

What worked

After the pool was opened explicitly, repeated test runs were clean and a process restart still read and wrote through the pool.

What got in the way

Constructing the pool without an explicit open flag emitted a deprecation warning. Commit and rollback behavior was clear only after reading the installed pool source.

Used psycopg 3 for the exporter transactions, Jsonb parameters for webhook storage, and integration-test setup. It worked without issues, and errors came back as clear typed server exceptions.

Used through the project's existing database helpers to write outbox rows in the same statement as usage records and to claim pending rows for the send job. Worked correctly in the integration tests.

Extended the existing data layer with snapshot upserts by hash, citation inserts and linking queries, using dict rows. It worked against a real Postgres. It returned bytes for text only when the database encoding was SQL_ASCII, which was correct behavior but surprising at first.

I installed the psycopg2 binary wheel in a virtual environment and used it to connect over a local socket, apply migrations, and check fuzzy search results. Connections and statement execution succeeded. When a query used a trigram operator outside the extension schema, the driver raised the database missing-operator error with a source line, which kept that mistake separate from the client.

What worked

The binary wheel installed and imported cleanly. Socket connections, scripted SQL, and database error details were all usable without extra configuration.

Wrote queue-claim, lease, completion and outbox queries through the project's existing psycopg helpers. No database was available, so none of it ran. I avoided a possible parameter-cast issue with make_interval by switching to multiplying by an interval.

Used psycopg 3 with binary wheels for connections, transactions, safe SQL composition and COPY FROM STDIN bulk loading. It installed cleanly and worked on the first try against the real server.

What worked

The binary extra installed with no system libpq. The COPY API and sql composition module made it easy to name partitions per week safely. Running each run in one transaction kept failures clean.

What got in the way

The type hints are strict. mypy rejected the generic Composable type as an execute argument, so I had to narrow it to Composed.

Imported the database driver to administer the server after the extracted build shipped no interactive client. A trust-authenticated connection created the application database. Later workload queries through the same driver stack completed without a recorded driver error.

What worked

It replaced the missing interactive client for database creation and then carried the benchmark's SQL traffic.

The application connected with the existing psycopg2 driver URL. I did not install or reconfigure the driver in this session. TCP login and the migration both succeeded through it, with no driver errors during the document flow.

What worked

The driver already present in the environment accepted the local database URL and supported the migration and API writes without further setup.