feat: add onboarding wizard backend - migration, schema, memory routes

This commit is contained in:
Roberto Musso
2026-04-11 23:38:53 +02:00
parent a85f8fde29
commit 4073863dc6
5 changed files with 186 additions and 4 deletions

View File

@@ -65,12 +65,30 @@ async def get_current_user(
default_tier = "power" if settings.ENV == "dev" else "free"
tier: str = result.scalar_one_or_none() or default_tier
# Fetch name/surname/avatar_url from user row.
# Fetch name/surname/avatar_url/onboarding_completed_at from user row.
user_result = await db.execute(
select(User.name, User.surname, User.avatar_url).where(User.id == user_id)
select(
User.name, User.surname, User.avatar_url, User.onboarding_completed_at,
).where(User.id == user_id)
)
user_row = user_result.one_or_none()
# Convert onboarding_completed_at to epoch ms (int) or None.
onboarding_ms: int | None = None
if user_row and user_row.onboarding_completed_at is not None:
onboarding_ms = int(user_row.onboarding_completed_at.timestamp() * 1000)
# Load decrypted core memory.
from app.core.memory_middleware import MemoryMiddleware # noqa: PLC0415
memory_dict: dict[str, str] = {}
try:
mw = MemoryMiddleware(db)
blocks = await mw.list_core_blocks(user_id)
memory_dict = {b["label"]: b["value"] for b in blocks}
except Exception:
pass # Non-critical — return empty memory on failure
return UserProfile(
id=user_id,
email=email,
@@ -78,4 +96,6 @@ async def get_current_user(
surname=user_row.surname if user_row else None,
avatar_url=user_row.avatar_url if user_row else None,
tier=tier,
onboarding_completed_at=onboarding_ms,
memory=memory_dict,
) # type: ignore[arg-type]

View File

@@ -1,4 +1,4 @@
"""Auth routes: register, login, refresh, me, OAuth social login.
"""Auth routes: register, login, refresh, me, OAuth social login, onboarding.
Users and refresh tokens are persisted in PostgreSQL (users + refresh_tokens
tables). Passwords are hashed with bcrypt; refresh tokens are stored as
@@ -12,6 +12,7 @@ OAuth (Google):
from __future__ import annotations
import hashlib
import json
import time
import urllib.parse
import uuid
@@ -23,13 +24,15 @@ from cryptography.fernet import Fernet
from fastapi import APIRouter, Depends, HTTPException, status
from fastapi.responses import RedirectResponse
from jose import jwt
from pydantic import BaseModel
from pydantic import BaseModel, Field
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.api.deps import get_current_user
from app.auth.oauth_providers import GoogleOAuthProvider, generate_pkce_pair
from app.config.settings import settings
from app.core.llm import get_llm
from app.core.memory_middleware import MemoryMiddleware
from app.db import get_session
from app.models import OAuthAccount, RefreshToken, User
from app.schemas import AuthTokens, UserProfile
@@ -495,3 +498,126 @@ async def oauth_callback(
plain_token, tokens = await _issue_refresh_token(new_user, db)
await db.commit()
return tokens
# ── Onboarding helpers ────────────────────────────────────────────────
async def _build_profile(user_id: str, email: str, db: AsyncSession) -> UserProfile:
"""Re-fetch and return a full UserProfile (reuses get_current_user logic)."""
# We can't call the FastAPI dependency directly, but we can replicate
# the core logic inline. Instead, we just re-query the same way.
from app.models import Subscription # noqa: PLC0415
result = await db.execute(
select(Subscription.tier).where(Subscription.user_id == user_id)
)
default_tier = "power" if settings.ENV == "dev" else "free"
tier: str = result.scalar_one_or_none() or default_tier
user_result = await db.execute(
select(
User.name, User.surname, User.avatar_url, User.onboarding_completed_at,
).where(User.id == user_id)
)
user_row = user_result.one_or_none()
onboarding_ms: int | None = None
if user_row and user_row.onboarding_completed_at is not None:
onboarding_ms = int(user_row.onboarding_completed_at.timestamp() * 1000)
memory_dict: dict[str, str] = {}
try:
mw = MemoryMiddleware(db)
blocks = await mw.list_core_blocks(user_id)
memory_dict = {b["label"]: b["value"] for b in blocks}
except Exception:
pass
return UserProfile(
id=user_id,
email=email,
name=user_row.name if user_row else None,
surname=user_row.surname if user_row else None,
avatar_url=user_row.avatar_url if user_row else None,
tier=tier,
onboarding_completed_at=onboarding_ms,
memory=memory_dict,
)
# ── Onboarding routes ────────────────────────────────────────────────
class _UpdateMemoryRequest(BaseModel):
memory: dict[str, str] = Field(default_factory=dict)
mark_onboarded: bool = False
@router.put("/me/memory", response_model=UserProfile)
async def update_memory(
body: _UpdateMemoryRequest,
current_user: UserProfile = Depends(get_current_user),
db: AsyncSession = Depends(get_session),
) -> UserProfile:
"""Update core memory key/value pairs and optionally mark onboarding complete."""
mw = MemoryMiddleware(db)
for key, value in body.memory.items():
await mw.update_core(current_user.id, key, value)
if body.mark_onboarded:
result = await db.execute(select(User).where(User.id == current_user.id))
user = result.scalar_one()
user.onboarding_completed_at = datetime.now(timezone.utc)
await db.commit()
return await _build_profile(current_user.id, current_user.email, db)
@router.post("/me/onboarding/reset")
async def reset_onboarding(
current_user: UserProfile = Depends(get_current_user),
db: AsyncSession = Depends(get_session),
):
"""Reset onboarding so the wizard runs again on next login."""
result = await db.execute(select(User).where(User.id == current_user.id))
user = result.scalar_one()
user.onboarding_completed_at = None
await db.commit()
return {"status": "reset"}
class _NormalizeRequest(BaseModel):
inputs: dict[str, str]
class _NormalizeResponse(BaseModel):
normalized: dict[str, str]
@router.post("/onboarding/normalize", response_model=_NormalizeResponse)
async def normalize_onboarding(
body: _NormalizeRequest,
current_user: UserProfile = Depends(get_current_user),
) -> _NormalizeResponse:
"""One-shot LLM normalization for free-text onboarding answers."""
if not body.inputs:
return _NormalizeResponse(normalized={})
try:
llm = get_llm(model="gpt-4o-mini", temperature=0)
prompt = (
"You normalize user onboarding answers into clean, ≤3-word canonical labels.\n"
"Return a JSON object with the same keys and normalized values.\n"
"Examples: 'i build websites''Web Developer', 'tech-ish stuff''Technology'\n"
f"Input: {json.dumps(body.inputs)}"
)
response = await llm.ainvoke(
[
{"role": "system", "content": "You normalize user inputs. Return JSON only."},
{"role": "user", "content": prompt},
],
)
normalized = json.loads(response.content)
return _NormalizeResponse(normalized=normalized)
except Exception:
# LLM failure must never block onboarding — return inputs unchanged
return _NormalizeResponse(normalized=body.inputs)