When preflight.py adopts a host-running Ollama (or ollama_research) service,
write OLLAMA_HOST (and OLLAMA_RESEARCH_HOST) into .env using host.docker.internal
so LLMRouter's env-var auto-config resolves the correct address from inside the
Docker container without requiring a config/llm.yaml to exist.
New endpoints:
- GET /api/wizard/status — resume-after-refresh; returns wizard_step + saved_data
- POST /api/wizard/step — persist step data; side effects per step
(step 3: plain_text_resume.yaml, step 5: .env keys,
step 6: search_profiles.yaml)
- GET /api/wizard/hardware — GPU detection + profile suggestion
- POST /api/wizard/inference/test — soft-fail Ollama/LLM connectivity check
- POST /api/wizard/complete — set wizard_complete=true, apply service URLs
Updated:
- GET /api/config/app now includes wizardComplete (from user.yaml) and isDemo
(from DEMO_MODE env) so the Vue nav guard can gate on a single config fetch
30 tests, all passing
importlib.reload(dev_api) reset all module-level globals (RESUME_PATH,
SEARCH_PREFS_PATH, etc.) on every digest/interviews test, causing
subsequent monkeypatch.setattr calls in test_dev_api_settings.py to
silently fail — the patched attribute was reset between fixture setup
and the actual HTTP request.
Fix: patch dev_api.DB_PATH directly via monkeypatch, which pytest reverts
cleanly after each test without touching any other module state.
Also sync resume optimizer endpoints to dev-api.py (hyphen variant).
ApplyWorkspace.vue: kept HEAD (vue-spa) version for resume optimizer panel,
cl-error__actions wrapper, and ResumeOptimizerPanel import. main's older
version lacked these additions.
VRAM detection now uses cf-orch free VRAM when coordinator is running,
making the scheduler cooperative with other cf-orch consumers.
Enqueue return value now checked — queue-full tasks are marked failed.
- Add explanatory comments to all 5 bare except Exception blocks clarifying that UI components must not crash the app
- Refactor sync_ui_cookie() to load UserProfile once instead of up to 3 times in normal path
- Store profile reference and reuse it in tier downgrade protection block
- Replace importlib.reload() pattern in tests with unittest.mock.patch for _DEMO_MODE
- Improves test isolation and eliminates module state contamination across test runs
- All 5 tests pass (100%)
- Replace fragile reload pattern with unittest.mock.patch('app.wizard.tiers._DEMO_MODE', ...)
- Eliminates parallel test run failures (pytest-xdist) and improves test isolation
- All 4 demo_tier tests now use context managers for clean setup/teardown
- Add explanatory comment to _DEMO_MODE definition about immutability and env-based init
Add GET /api/vision/health, POST /api/jobs/{id}/survey/analyze,
POST /api/jobs/{id}/survey/responses, and GET /api/jobs/{id}/survey/responses
to dev-api.py. All 10 TDD tests pass; 549 total suite tests pass (0 regressions).
- Replace lazy import + scripts.db.get_research with inline SQL via _get_db(),
matching the pattern used by research_task_status and get_job_contacts
- Exclude raw_output from SELECT instead of post-fetch pop
- Change HTTPException in generate_research to positional-arg style
- Update test_get_research_found/not_found to patch dev_api._get_db
- _parse_message now prefers text/html over text/plain so digest emails
retain href attribute values needed for link extraction
- Strip <head>, <style>, <script> blocks before storing to remove CSS/JS
garbage while keeping anchor tags intact
- Remove [:4000] truncation — digest emails need full body for URL regex
- Update test: large body should NOT be truncated (assert len == 10_000)
get_page_errors() was switched to text_content() to capture errors in
CSS-hidden elements (collapsed Streamlit expanders). Two unit test mocks
still stubbed inner_text() — causing CI failures because MagicMock()
returned a non-string from text_content(), breaking the "boom" in message
content assertion.
E2E harness fixes to get all three modes (demo/cloud/local) passing:
- conftest.py: use ctx.add_cookies() for cloud auth instead of
ctx.route() or set_extra_http_headers(). Playwright's route() only
intercepts HTTP; set_extra_http_headers() explicitly excludes
WebSocket handshakes. Streamlit reads st.context.headers from the
WebSocket upgrade, so cookies are the only vehicle that reaches it
without a reverse proxy.
- cloud_session.py: fall back to Cookie header when X-CF-Session is
absent — supports direct access (E2E tests, dev without Caddy).
In production Caddy sets X-CF-Session; in tests the cf_session cookie
is set on the browser context and arrives in the Cookie header.
- modes/cloud.py: add /peregrine base URL path (STREAMLIT_SERVER_BASE_URL_PATH=peregrine)
- modes/local.py: correct port from 8502 → 8501 and add /peregrine path
All three modes now pass smoke + interaction tests clean.
- Add tests/e2e/test_smoke.py: page-load error check for all pages
- Add tests/e2e/test_interactions.py: click every interactable, diff
errors, XFAIL expected demo failures, flag regressions as XPASS
- Fix conftest get_page_errors() to use text_content() instead of
inner_text() so errors inside collapsed expanders are captured with
their actual message text (inner_text respects CSS display:none)
- Fix tests/e2e/modes/demo.py base_url to include /peregrine path prefix
(STREAMLIT_SERVER_BASE_URL_PATH=peregrine set in demo container)
App fixes surfaced by the harness:
- task_runner.py: add DEMO_MODE guard for discovery task — previously
crashed with FileNotFoundError on search_profiles.yaml before any
demo guard could fire; now returns friendly error immediately
- 6_Interview_Prep.py: stop auto-triggering LLM session on page load
in demo mode; show "AI features disabled" info instead, preventing
a silent st.error() inside the collapsed Practice Q&A expander
Both smoke and interaction tests now pass clean against demo mode.
BasePage provides navigation, error capture, and interactable discovery
with fnmatch-based expected_failure matching. SettingsPage extends it
with tab-aware discovery. All conftest imports are deferred to method
bodies so the module loads without a live browser fixture.
Add pytest-playwright and pytest-json-report to requirements.txt; create
tests/e2e/ skeleton (modes/, pages/, results/) with __init__.py files and
.gitkeep; add results subdirs to .gitignore.
Implements idempotent calendar push for Apple Calendar (CalDAV) and
Google Calendar from the Interviews kanban.
- db: add calendar_event_id column (migration) + set_calendar_event_id helper
- integrations/apple_calendar: create_event / update_event via caldav + icalendar
- integrations/google_calendar: create_event / update_event via google-api-python-client;
test() now makes a real API call instead of checking file existence
- scripts/calendar_push: orchestrates push/update, builds event title from stage +
job title + company, attaches job URL and company brief to description,
defaults to noon UTC / 1hr duration
- app/pages/5_Interviews: "Add to Calendar" / "Update Calendar" button shown
when interview date is set and a calendar integration is configured
- environment.yml: pin caldav, icalendar, google-api-python-client, google-auth
- tests/test_calendar_push: 9 tests covering create, update, error handling,
event timing, idempotency, and missing job/date guards
When source == "jobgether", build_prompt() injects a recruiter context
note directing the LLM to address the Jobgether recruiter using
"Your client [at {company}] will appreciate..." framing rather than
addressing the employer directly. generate() and task_runner both
thread the is_jobgether flag through automatically.
Replaces the spawn-per-task model for LLM task types with scheduler
routing: cover_letter, company_research, and wizard_generate are now
enqueued via the TaskScheduler singleton for VRAM-aware batching.
Non-LLM tasks (discovery, email_sync, etc.) continue to spawn daemon
threads directly. Adds autouse clean_scheduler fixture to
test_task_runner.py to prevent singleton cross-test contamination.
