ducoterra
022da8e2bc
Foundation (phase 01, verified): - FastAPI app: /api/health, /api/suggestions, /api/chat (placeholder), static frontend served locally (no CDN) - Postgres 17 + pgvector via db/Containerfile + compose.yaml (podman compose up -d db), Alembic initial migration (documents, chunks with vector(768), query_log) - LLM client targeting https://aipi.reeseapps.com/v1 (turbo/embed); scripts/llm_probe.py verified models + 768-dim embeddings live - Conditional debugpy: imported only when DEBUGPY=1 (attach on demand, :5678); logging config for clean single-line logs - Frontend shell: mobile-first chat + Sources pages, tokens, a11y baselines - Tests: 24 unit+integration (99% coverage on app/), ruff + pyright clean, Playwright smoke E2E (3 tests) against a deterministic mock LLM - Planning: .agent/PLAN.md (architecture + LOCKED decisions), AGENTS.md, 6 user stories, 7 phase files (one story / one phase / one Playwright suite each)
15 lines
416 B
Python
15 lines
416 B
Python
"""Suggested-question endpoint (drives the onboarding chips in the UI)."""
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from __future__ import annotations
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from fastapi import APIRouter
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from app.config import get_settings
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from app.schemas import SuggestionList
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router = APIRouter(tags=["chat"])
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@router.get("/suggestions", response_model=SuggestionList)
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def suggestions() -> SuggestionList:
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return SuggestionList(suggestions=get_settings().suggestions)
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