impactflow_discovery/app/routers/discovery.py

"""Discovery API routes: start a conversation, save responses, generate and
confirm a profile.

All routes are user-scoped via the dual-auth dependency. The MCP server uses
the X-API-Key header and operates under the synthetic admin user; the
browser app uses a Google-issued JWT.
"""
import json
import os
import uuid
from datetime import datetime, timezone

from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession

from app import schemas
from app.auth import get_current_user
from app.database import get_db
from app.models import DiscoveryConversation, DiscoveryProfile, User
from app.services.extractor import DiscoveryExtractionError, DiscoveryExtractor

router = APIRouter(prefix="/discovery", tags=["discovery"])


def _now() -> datetime:
    return datetime.now(timezone.utc)


def _to_profile_response(
    profile: DiscoveryProfile, extraction_notes: str | None = None
) -> schemas.ProfileResponse:
    """Build a ProfileResponse from a stored profile row."""
    confidence = None
    if profile.confidence_json:
        try:
            confidence = schemas.Confidence(**json.loads(profile.confidence_json))
        except (json.JSONDecodeError, TypeError, ValueError):
            confidence = None

    return schemas.ProfileResponse(
        id=profile.id,
        user_id=profile.user_id,
        conversation_id=profile.conversation_id,
        generated_at=profile.generated_at,
        triad=profile.triad,
        probable_type=profile.probable_type,
        wing=profile.wing,
        instinctual_variant=profile.instinctual_variant,
        instinctual_stack=profile.instinctual_stack,
        love_summary=profile.love_summary,
        strength_summary=profile.strength_summary,
        mission_summary=profile.mission_summary,
        vocation_summary=profile.vocation_summary,
        overlap_narrative=profile.overlap_narrative,
        confidence=confidence,
        locked=profile.locked,
        extraction_notes=extraction_notes,
    )


async def _latest_profile(
    db: AsyncSession, user_id: str
) -> DiscoveryProfile | None:
    stmt = (
        select(DiscoveryProfile)
        .where(DiscoveryProfile.user_id == user_id)
        .order_by(DiscoveryProfile.generated_at.desc())
    )
    result = await db.execute(stmt)
    return result.scalars().first()


async def _owned_conversation(
    db: AsyncSession, conversation_id: str, user: User
) -> DiscoveryConversation:
    """Fetch a conversation and assert the caller owns it (admins bypass).
    Returns 404 for both 'not found' and 'not yours' so the existence of
    other users' conversations isn't leaked."""
    conversation = await db.get(DiscoveryConversation, conversation_id)
    if conversation is None:
        raise HTTPException(status_code=404, detail="Conversation not found")
    if conversation.user_id != user.id and user.role != "admin":
        raise HTTPException(status_code=404, detail="Conversation not found")
    return conversation


@router.post("/start", response_model=schemas.StartResponse)
async def start_conversation(
    db: AsyncSession = Depends(get_db),
    user: User = Depends(get_current_user),
):
    conversation = DiscoveryConversation(
        id=str(uuid.uuid4()),
        user_id=user.id,
        started_at=_now(),
    )
    db.add(conversation)
    await db.commit()
    return schemas.StartResponse(conversation_id=conversation.id)


@router.put(
    "/{conversation_id}/respond", response_model=schemas.RespondResponse
)
async def save_responses(
    conversation_id: str,
    payload: schemas.RespondRequest,
    db: AsyncSession = Depends(get_db),
    user: User = Depends(get_current_user),
):
    conversation = await _owned_conversation(db, conversation_id, user)

    conversation.prompt_alive = payload.prompt_alive
    conversation.prompt_friction = payload.prompt_friction
    conversation.prompt_pull = payload.prompt_pull
    conversation.prompt_recognition = payload.prompt_recognition
    conversation.prompt_future = payload.prompt_future
    await db.commit()

    return schemas.RespondResponse(
        conversation_id=conversation_id, status="responses_saved"
    )


@router.post(
    "/{conversation_id}/complete", response_model=schemas.ProfileResponse
)
async def complete_conversation(
    conversation_id: str,
    db: AsyncSession = Depends(get_db),
    user: User = Depends(get_current_user),
):
    conversation = await _owned_conversation(db, conversation_id, user)

    responses = {
        "alive": conversation.prompt_alive or "",
        "friction": conversation.prompt_friction or "",
        "pull": conversation.prompt_pull or "",
        "recognition": conversation.prompt_recognition or "",
        "future": conversation.prompt_future or "",
    }
    if not any(text.strip() for text in responses.values()):
        raise HTTPException(
            status_code=400, detail="No responses available to analyze"
        )

    api_key = os.getenv("ANTHROPIC_API_KEY")
    model = os.getenv("ANTHROPIC_MODEL", "claude-sonnet-4-5")

    try:
        extractor = DiscoveryExtractor(api_key=api_key, model=model)
        data = await extractor.extract(responses)
    except DiscoveryExtractionError as exc:
        raise HTTPException(status_code=502, detail=str(exc)) from exc

    profile = DiscoveryProfile(
        id=str(uuid.uuid4()),
        user_id=conversation.user_id,
        conversation_id=conversation.id,
        generated_at=_now(),
        triad=data.get("triad"),
        probable_type=_as_int(data.get("probable_type")),
        wing=_as_int(data.get("wing")),
        instinctual_variant=data.get("instinctual_variant"),
        instinctual_stack=data.get("instinctual_stack"),
        love_summary=data.get("love_summary"),
        strength_summary=data.get("strength_summary"),
        mission_summary=data.get("mission_summary"),
        vocation_summary=data.get("vocation_summary"),
        overlap_narrative=data.get("overlap_narrative"),
        confidence_json=json.dumps(data.get("confidence", {})),
        locked=False,
    )
    conversation.completed_at = _now()
    db.add(profile)
    await db.commit()

    return _to_profile_response(
        profile, extraction_notes=data.get("extraction_notes")
    )


@router.get("/profile/me", response_model=schemas.ProfileResponse)
async def get_my_profile(
    db: AsyncSession = Depends(get_db),
    user: User = Depends(get_current_user),
):
    profile = await _latest_profile(db, user.id)
    if profile is None:
        raise HTTPException(status_code=404, detail="No profile for this user")
    return _to_profile_response(profile)


@router.put(
    "/profile/me/confirm", response_model=schemas.ConfirmResponse
)
async def confirm_my_profile(
    db: AsyncSession = Depends(get_db),
    user: User = Depends(get_current_user),
):
    profile = await _latest_profile(db, user.id)
    if profile is None:
        raise HTTPException(status_code=404, detail="No profile for this user")
    profile.locked = True
    await db.commit()
    return schemas.ConfirmResponse(status="locked")


@router.get(
    "/conversation/{conversation_id}",
    response_model=schemas.ConversationResponse,
)
async def get_conversation(
    conversation_id: str,
    db: AsyncSession = Depends(get_db),
    user: User = Depends(get_current_user),
):
    conversation = await _owned_conversation(db, conversation_id, user)
    return schemas.ConversationResponse.model_validate(conversation)


def _as_int(value) -> int | None:
    """Coerce the model's numeric fields to int, tolerating strings/None."""
    if value is None:
        return None
    try:
        return int(value)
    except (TypeError, ValueError):
        return None