Circuit-Forge/kiwi - Forgejo: Beyond coding. We Forge.

Circuit-Forge/kiwi

Fork 0

Commit graph

Author	SHA1	Message	Date
pyr0ball	6791ea22b2	feat: complete feedback button — status probe, requests dep, tests - feedback.py: add GET /feedback/status endpoint (returns {enabled: bool}) so frontend can probe on mount instead of optimistic-enable; remove unused get_db import - FeedbackButton.vue: probe /feedback/status on mount, start hidden; drop redundant 503-hide path (status probe makes it redundant) - pyproject.toml: declare requests>=2.31 (used by feedback.py Forgejo calls) - tests/api/test_feedback.py: 7 tests — status endpoint (no-token, token, demo mode), POST 503/403, happy path with mocked Forgejo, 502 on error	2026-04-03 16:52:40 -07:00
pyr0ball	9371df1c95	feat: recipe engine Phase 3 — StyleAdapter, LLM levels 3-4, user settings Task 13: StyleAdapter with 5 cuisine templates (Italian, Latin, East Asian, Eastern European, Mediterranean). Each template includes weighted method_bias (sums to 1.0), element-filtered aromatics/depth/structure helpers, and seasoning/finishing-fat vectors. StyleTemplate is a fully immutable frozen dataclass with tuple fields. Task 14: LLMRecipeGenerator for Levels 3 and 4. Level 3 builds a structured element-scaffold prompt; Level 4 generates a minimal wildcard prompt (<1500 chars). Allergy hard-exclusion wired through RecipeRequest.allergies into both prompt builders and the generate() call path. Parsed LLM response (title, ingredients, directions, notes) fully propagated to RecipeSuggestion. Task 15: User settings key-value store. Migration 012 adds user_settings table. Store.get_setting / set_setting with upsert. GET/PUT /settings/{key} endpoints with Pydantic SettingBody, key allowlist, get_session dependency. RecipeEngine reads cooking_equipment from settings when hard_day_mode=True. 55 tests passing.	2026-03-31 14:15:18 -07:00
pyr0ball	ce61b5f422	feat: recipe + staple API endpoints with tier gating	2026-03-31 12:49:38 -07:00

Author

SHA1

Message

Date

pyr0ball

6791ea22b2

feat: complete feedback button — status probe, requests dep, tests

- feedback.py: add GET /feedback/status endpoint (returns {enabled: bool})
  so frontend can probe on mount instead of optimistic-enable; remove
  unused get_db import
- FeedbackButton.vue: probe /feedback/status on mount, start hidden;
  drop redundant 503-hide path (status probe makes it redundant)
- pyproject.toml: declare requests>=2.31 (used by feedback.py Forgejo calls)
- tests/api/test_feedback.py: 7 tests — status endpoint (no-token, token,
  demo mode), POST 503/403, happy path with mocked Forgejo, 502 on error

2026-04-03 16:52:40 -07:00

pyr0ball

9371df1c95

feat: recipe engine Phase 3 — StyleAdapter, LLM levels 3-4, user settings

Task 13: StyleAdapter with 5 cuisine templates (Italian, Latin, East Asian,
Eastern European, Mediterranean). Each template includes weighted method_bias
(sums to 1.0), element-filtered aromatics/depth/structure helpers, and
seasoning/finishing-fat vectors. StyleTemplate is a fully immutable frozen
dataclass with tuple fields.

Task 14: LLMRecipeGenerator for Levels 3 and 4. Level 3 builds a structured
element-scaffold prompt; Level 4 generates a minimal wildcard prompt (<1500
chars). Allergy hard-exclusion wired through RecipeRequest.allergies into
both prompt builders and the generate() call path. Parsed LLM response
(title, ingredients, directions, notes) fully propagated to RecipeSuggestion.

Task 15: User settings key-value store. Migration 012 adds user_settings
table. Store.get_setting / set_setting with upsert. GET/PUT /settings/{key}
endpoints with Pydantic SettingBody, key allowlist, get_session dependency.
RecipeEngine reads cooking_equipment from settings when hard_day_mode=True.

55 tests passing.

2026-03-31 14:15:18 -07:00

pyr0ball

ce61b5f422

feat: recipe + staple API endpoints with tier gating

2026-03-31 12:49:38 -07:00

3 commits