"""Minimal end-to-end vertical slice smoke test.

Uses the already-running gemma-4-12b on klaus-3 as the sole surrogate (the fast
4B models are not hosted yet), a tiny search space, and one real OpenRouter
target validation. Proves the whole loop: decoy -> Tier A -> gate -> Tier B.
"""

from __future__ import annotations

import veil_pgd.optimizer.search_space as ss
from veil_pgd.config import get_settings

# --- shrink everything for a fast smoke test ---
s = get_settings()
s.surrogate_models = ("gemma-4-12b",)
s.blackbox_target_models = ("google/gemini-3.5-flash",)  # cheapest strong vision target
s.optimizer.decoy_shortlist_size = 2
s.optimizer.grid_font_px = (16,)
s.optimizer.evo_population = 3
s.optimizer.evo_generations = 1
s.budget.top_k_to_validate = 2
s.budget.max_blackbox_queries_per_image = 4

# only two placements to keep surrogate calls small
ss.default_positions = lambda: ["bottom_middle", "top_right"]  # type: ignore

from veil_pgd.pipeline import protect_image  # noqa: E402

res = protect_image("examples/sun.png", truth="sun", settings=s)
m = res.manifest
print("=== SLICE RESULT ===")
print("truth:", m["truth"])
print("chosen text:", m["spec"]["text"])
print("spec:", {k: m["spec"][k] for k in ("font_px", "alpha", "color_strategy", "position")})
print("per_model_distance:", m["per_model_distance"])
print("stealth passed:", m["stealth"]["passed"] if m["stealth"] else None,
      "psnr=%.1f ssim=%.3f" % (m["stealth"]["psnr"], m["stealth"]["ssim"]) if m["stealth"] else "")
print("surrogate_fitness=%.3f blackbox_fitness=%.3f" % (m["surrogate_fitness"], m["blackbox_fitness"]))
print("notes.blackbox_preds:", m["notes"].get("blackbox_preds"))
print("protected image:", m["protected_image"])