"""F-13 synthesis spike — quick live-infra evaluation (WEGWERF-CODE).

NOT a unit test. Not maintained. Run by hand against live infrastructure:

  DB:    postgresql://researcher:change_me@localhost:5432/papers (podman, Mac)
  LLM:   http://192.168.178.103:11434 (Jetson, qwen2.5:7b)

Goal: emit 3-5 grounded leads (connection + gap) and a couple of
conjectures, then eyeball:

  * Grounded-Lead-Präzision: anteil echter (nicht scheinbarer) Lücken /
    Verbindungen. Ziel ≥ 60 %.
  * Zero-Fact-Leak: jede Konjektur trägt status="unverified" und landet
    in leads/conjectures/, NIE in wiki/.

Result is dumped to ``spike/spike_output.json`` and stdout.
"""

from __future__ import annotations

import json
import os
import sys
from pathlib import Path

# Wire up the live infra without polluting ~/.env
os.environ.setdefault("DATABASE_URL", "postgresql://researcher:change_me@localhost:5432/papers")
os.environ.setdefault("OLLAMA_BASE_URL", "http://192.168.178.103:11434")
os.environ.setdefault("SYNTHESIS_LLM_MODEL", "qwen2.5:7b")
os.environ.setdefault("SYNTHESIS_TOP_K", "12")

ROOT = Path(__file__).resolve().parent.parent
sys.path.insert(0, str(ROOT))


def _probe_db() -> bool:
    try:
        import psycopg

        with psycopg.connect(os.environ["DATABASE_URL"]) as conn:
            n = conn.execute("SELECT count(*) FROM papers").fetchone()
            print(f"[db ok] papers={n[0] if n else '?'}")
            return True
    except Exception as exc:
        print(f"[db FAIL] {exc}")
        return False


def _probe_llm() -> bool:
    import httpx

    try:
        r = httpx.get(os.environ["OLLAMA_BASE_URL"] + "/api/tags", timeout=3.0)
        r.raise_for_status()
        print(f"[llm ok] models={len(r.json().get('models', []))}")
        return True
    except Exception as exc:
        print(f"[llm FAIL] {exc}")
        return False


def run() -> dict[str, object]:
    if not _probe_db():
        return {"error": "db unreachable", "live": False}
    if not _probe_llm():
        return {"error": "llm unreachable", "live": False}

    from codex.config import get_settings  # noqa: E402  (after env wiring)
    from codex.synthesis import (
        default_llm_client,
        find_connections,
        find_gaps,
        propose_conjectures,
        write_leads,
    )

    # Reset settings cache so DB/LLM env wiring above is picked up
    get_settings.cache_clear()
    settings = get_settings()
    print(f"[settings] top_k={settings.synthesis_top_k} model={settings.synthesis_llm_model}")

    llm = default_llm_client()

    print("\n--- find_connections ---")
    connections = find_connections(top_k=settings.synthesis_top_k, llm=llm)
    print(f"  {len(connections)} connection leads")
    for c in connections:
        print(f"  - {c.id}: {c.title}  (conf={c.confidence:.2f})")

    print("\n--- find_gaps (no lib_path) ---")
    gaps = find_gaps(llm=llm)
    print(f"  {len(gaps)} gap leads")
    for g in gaps:
        print(f"  - {g.id}: {g.title}  (conf={g.confidence:.2f})")

    print("\n--- propose_conjectures ---")
    conjectures = propose_conjectures(top_k=settings.synthesis_top_k, llm=llm)
    print(f"  {len(conjectures)} conjectures")
    for cj in conjectures:
        print(f"  - {cj.id}: {cj.title}")
        print(f"      status={cj.status}  validation={cj.suggested_validation[:80]}")

    # Write into a sandbox dir
    sandbox = ROOT / "spike" / "spike_output"
    sandbox.mkdir(parents=True, exist_ok=True)
    write_leads(connections + gaps + conjectures, str(sandbox))

    # ZERO-FACT-LEAK guard: no conjectures in grounded/, every conjecture has validation
    leak = False
    for cj in conjectures:
        if cj.kind != "conjecture":
            leak = True
            print(f"[LEAK] {cj.id} kind={cj.kind}")
        if cj.status != "unverified":
            leak = True
            print(f"[LEAK] {cj.id} status={cj.status} (expected unverified)")
        if not cj.suggested_validation:
            leak = True
            print(f"[LEAK] {cj.id} missing suggested_validation")
        if not cj.provenance:
            leak = True
            print(f"[LEAK] {cj.id} missing provenance")

    summary = {
        "live": True,
        "leak": leak,
        "counts": {
            "connection": len(connections),
            "gap": len(gaps),
            "conjecture": len(conjectures),
        },
        "leads_dir": str(sandbox),
    }
    (ROOT / "spike" / "spike_output.json").write_text(json.dumps(summary, indent=2))
    print("\n=== SUMMARY ===")
    print(json.dumps(summary, indent=2))
    return summary


if __name__ == "__main__":
    run()