matchmaking-v2/app/agent/session.py

"""Matchmaking-v2 agent session.

Mirrors the mesh contract: the orchestrator calls /a2a/tasks, which drives
on_session_start / on_user_action; handlers `push` messages back (agent_thinking,
agent_data{action,data}, agent_error) that the orchestrator forwards to the frontend.

Step-0 scaffold: the dispatch + contract are wired; handlers are honest stubs that
say "not implemented yet" so we can fill them in one full-stack slice at a time.
"""
from __future__ import annotations

import asyncio
import logging

logger = logging.getLogger(__name__)


class MatchmakingAgentSession:
    def __init__(self, websocket, user_id: str):
        self.ws = websocket
        self.user_id = user_id
        self.context: dict = {}

    async def push(self, msg_type: str, **kwargs):
        await self.ws.send_json({"type": msg_type, **kwargs})

    async def _stub(self, action: str, note: str):
        await self.push("agent_data", action=action, data={"status": "not_implemented", "note": note})

    async def on_session_start(self, params: dict):
        self.context["user_context"] = params.get("user_context")
        await self.push("agent_thinking", message="Scout is warming up…")
        # Real flow lands in a later slice: resolve prefs → run_search → emit feed.
        await self.push("agent_data", action="session_ready", data={"service": "matchmaking-v2", "version": "2.0.0"})

    async def on_user_action(self, action: str, params: dict):
        handlers = {
            # existing contract
            "sync_preferences": self.handle_sync_preferences,
            "get_scout_feed": self.handle_get_feed,   # unique name (avoids the course-service "get_feed" collision)
            "record_feedback": self.handle_record_feedback,
            "get_opportunity_detail": self.handle_get_opportunity_detail,
            # new in v2
            "run_search": self.handle_run_search,
            "tailor_resume": self.handle_tailor_resume,
            "submit_application": self.handle_submit_application,
            "get_apply_proof": self.handle_get_apply_proof,
        }
        handler = handlers.get(action)
        if not handler:
            await self.push("agent_error", message=f"Unknown action: {action}")
            return
        try:
            await handler(params)
        except Exception as e:  # noqa: BLE001 — surface to the client, log the trace
            logger.error("action '%s' failed: %s", action, e, exc_info=True)
            await self.push("agent_error", message=f"Failed to {action}: {e}")

    # ── handlers (stubs — replaced one full-stack slice at a time) ──
    async def handle_sync_preferences(self, params: dict):
        await self._stub("preferences_synced", "persist ScoutPrefs → label store")

    async def handle_get_feed(self, params: dict):
        """Replay the user's last persisted feed so matches survive navigation (no re-search)."""
        from app.db.repo import get_feed
        feed = await get_feed(self.user_id)
        await self.push("agent_data", action="feed_loaded", data=feed or {"opportunities": [], "cached": False})

    async def handle_record_feedback(self, params: dict):
        await self._stub("feedback_recorded", "store SAVE/DISMISS/APPLY label")

    async def handle_get_opportunity_detail(self, params: dict):
        await self._stub("opportunity_detail", "return match-score breakdown")

    async def handle_run_search(self, params: dict):
        """Slice-1a: ScoutPrefs → live multi-board fetch → cards. No engine, no user-arm."""
        from app.engine import search

        prefs = params  # the frontend's ScoutPrefs arrive as params (user_context, if present, is ignored)
        fresh = bool(prefs.get("_fresh"))  # dev toggle: force a live sweep instead of replaying cache
        if not search.has_mvq(prefs):
            await self.push("agent_data", action="search_complete",
                            data={"opportunities": [], "needs": ["title", "location"]})
            return
        await self.push("agent_thinking",
                        message="Fetching fresh roles across job boards…" if fresh
                        else "Scanning live roles across job boards…")
        sweep = await search.run_sweep(prefs, fresh=fresh)
        # Engine: assemble FULL context (profile + prefs). Cheap rankers SIFT 90 → top ~18 (white-box ‖
        # embedding vibe); then Opus reads only those and curates the honest shortlist + report cards.
        from app.engine import curate as _curate
        from app.engine import rank as _rank
        from app.engine import sift as _sift
        user_context = params.get("user_context")   # resume skills / experience / education / QScore
        await self.push("agent_thinking", message="Scoring roles against your profile…")
        # Run the blocking LLM work (embeddings + Opus) OFF the event loop, or the long sync OpenAI
        # call freezes the loop and the Redis response can't publish (→ the loader hangs forever).
        top, dbg = await asyncio.to_thread(_sift.sift, prefs, user_context, sweep["opportunities"])
        await self.push("agent_thinking", message="Scout is reading your top roles…")
        curated = await asyncio.to_thread(_curate.curate, prefs, user_context, top)   # Opus's call is final
        if curated is None:                                       # safety net: sift + templated cards
            curated = _rank.select(top, prefs.get("stretch", "balanced"))
            engine = f"fallback:{dbg['mode']}"
        else:
            engine = "opus"
        result = {"opportunities": curated, "sources": sweep["sources"],
                  "shortlisted": len(curated), "scanned": dbg["scored"], "engine": engine,
                  "has_profile": bool(user_context and user_context.get("skills"))}
        await self.push("agent_data", action="search_complete", data=result)
        # Persist the feed so it survives navigation/refresh (replayed by handle_get_feed).
        from app.db.repo import save_feed
        clean_prefs = {k: v for k, v in prefs.items() if k not in ("user_context", "_fresh")}
        await save_feed(self.user_id, clean_prefs, result)

    async def handle_tailor_resume(self, params: dict):
        await self._stub("resume_tailored", "resume-builder: tailor resume to the chosen role")

    async def handle_submit_application(self, params: dict):
        await self._stub("application_submitted", "master-key auto-apply (tier-aware)")

    async def handle_get_apply_proof(self, params: dict):
        await self._stub("apply_proof", "return captured confirmation screenshots")