vitor-aignosi
4ee672a715
SIENTIAPDE-2202 Add gateway end-to-end test suite (e2e/) End-to-end suite at the repo root, following the Laborious/Orchestrator pattern: numbered scenarios per topic in e2e/scenarios.md (1:1 with test_scenario_* functions), scenario inputs as JSON, Postgres DDL mirrored from production, `integration` marker, excluded from the default pytest run. Every dependency runs for real: MongoDB, Redis, PostgreSQL, MinIO and NATS via testcontainers, OPC UA servers in process (asyncua). Pods are built from the environment like ingestor/app.py and driven one loop iteration at a time. 69 scenarios across 7 topics: slot leasing and failover, subscription reads, NATS writes and write_status (incl. the SIENTIAPDE-2202 timestamp/quality matrix, checked on the server and on the wire), gRPC ReadTag, active reads, client certificates/security, pod lifecycle. Replaces tests/functional (legacy slot v1 tests, fully commented out) and tests/functional/test_write_e2e.py (now scenarios 3.1.x). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
34 lines
1.6 KiB
SQL
34 lines
1.6 KiB
SQL
-- =============================================================================
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-- E2E test database schema for the ``sientia_data`` namespace.
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--
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-- Mirrors the production DDL one-to-one so any change in production can be
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-- pasted directly into this file. The conftest fixture drops the schema and
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-- loads this SQL into the testcontainers Postgres before every test.
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--
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-- The gateway only touches ``sientia_data.predictions``: it updates
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-- ``write_status`` (contract C3, SIENTIAPDE-1975) on the row the Laborious
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-- inserted. Same DDL as ``sientia-dataops-laborious/e2e/db_schema.sql``.
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-- =============================================================================
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CREATE SCHEMA IF NOT EXISTS sientia_data;
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-- -----------------------------------------------------------------------------
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-- sientia_data.predictions
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-- -----------------------------------------------------------------------------
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CREATE TABLE IF NOT EXISTS sientia_data.predictions (
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model_id int4 NOT NULL,
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prediction numeric NULL,
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prediction_confidence numeric NOT NULL,
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response_time numeric NOT NULL,
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prediction_status text NOT NULL,
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"timestamp" timestamptz NOT NULL,
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created_at timestamptz DEFAULT CURRENT_TIMESTAMP NOT NULL,
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"comments" text NULL,
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metadata_id varchar(24) NULL,
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write_status text NULL,
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CONSTRAINT unique_model_id_timestamp
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UNIQUE (model_id, "timestamp"),
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CONSTRAINT chk_predictions_write_status
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CHECK (write_status IN ('pending', 'ok', 'error', 'session_bad'))
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);
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