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Adds a PostgreSQL output backend as a lighter-weight alternative to Elasticsearch/OpenSearch, configured via a [postgresql] section (host/port/user/password/database or a libpq connection_string). Tables are created automatically on first run; a Grafana dashboard is included. - psycopg is an optional extra (pip install parsedmarc[postgresql]); the import is guarded so `import parsedmarc` works without it, and PostgreSQLClient raises a clear install hint when constructed without the driver. Binary wheels aren't available for every platform. - Schema captures the RFC 9990 / DMARCbis aggregate fields: np, testing, discovery_method, generator, xml_namespace, and per-result human_result on the DKIM/SPF auth-result tables. - forensic -> failure naming throughout (table dmarc_failure_report, save_failure_report_to_postgresql, dashboard, docs) to match #659. - Failure-report de-duplication mirrors the Elasticsearch backend exactly: arrival date + From + To + Subject (NULL-safe via IS NOT DISTINCT FROM; semantic JSONB equality). Aggregate and SMTP-TLS use ON CONFLICT. - PostgreSQLClient.close() for clean CLI shutdown; comment documents why the two timestamp helpers must stay distinct (report dates are local, record/SMTP-TLS dates are UTC). - CLI: config parse raises ConfigurationError on missing host/connection_string; wired into _init_output_clients + save loops. - Tests in tests/test_postgres.py (helpers, mocked-DB save assertions, create_tables, connect/error wrapping, dedup, real-sample round trip) and tests/test_cli.py (config parse + end-to-end save wiring incl. AlreadySaved/PostgreSQLError handling). postgres.py at 99% line coverage; only _main's output-client-init retry path is left. Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>