The home server's Ollama doesn't have gpt-oss:20b pulled; qwen3:14b is
already there and is what mammon's chat agent uses. Switching the default
now so the first deploy passes the /healthz ollama probe without an extra
`ollama pull` step. The spec lists gpt-oss:20b as a concrete example;
qwen3:14b is equally on-prem and Ollama-structured-output-compatible.
Touched: AppConfig default, BankStatementHeader Request.default_model,
.env.example, setup_server.sh ollama-list check, AGENTS.md, deployment.md,
live tests. Unit tests that hard-coded the old model string but don't
assert the default were left alone.
Also: ASCII en-dash in e2e_smoke.py Paperless-style text (ruff RUF001).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Runs from the Mac after every `git push server main`.
Flow: starts a tiny HTTP server on the Mac's LAN IP serving
tests/fixtures/synthetic_giro.pdf → POST /jobs with bank_statement_header
+ Paperless-style texts so text_agreement has something to check against →
poll GET /jobs/{id} until terminal → assert status=done, bank_name
non-empty, closing_balance.provenance_verified=True, text_agreement=True,
elapsed < 60 s. Non-zero exit blocks the deploy.
Uses only stdlib (http.server, urllib) — no extra deps on the Mac-side,
no test framework overhead.
Task 5.4 of MVP plan.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- scripts/setup_server.sh: idempotent one-shot. Creates bare repo,
post-receive hook (which rebuilds docker compose + gates on /healthz),
infoxtractor Postgres role + DB on the shared postgis container, .env
(0600) from .env.example with the password substituted in, verifies
gpt-oss:20b is pulled.
- docs/deployment.md: topology, one-time setup command, normal deploy
workflow, rollback-via-revert pattern (never force-push main),
operational checklists for the common /healthz degraded states.
- First deploy section reserved; filled in after Task 5.3 runs.
Task 5.2 of MVP plan.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Wires the five pipeline steps together with FakeOCRClient +
FakeGenAIClient, feeds the committed synthetic_giro.pdf fixture via
file:// URL, and asserts the full response shape.
- scripts/create_fixture_pdf.py: PyMuPDF-based builder. One-page A4 PDF
with six known header strings (bank name, IBAN, period, balances,
statement date). Re-runnable on demand; the committed PDF is what CI
consumes.
- tests/fixtures/synthetic_giro.pdf: committed output.
- tests/unit/test_pipeline_end_to_end.py: 5 tests covering
* ix_result.result fields populated from the fake LLM
* provenance.fields["result.closing_balance"].provenance_verified True
* text_agreement True when Paperless-style texts match the value
* metadata.timings has one entry per step in the right order
* response.error is None and context is not serialised
197 tests total; ruff clean. No integration tests, no real clients,
no network.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
