import argparse
import json
import os
import subprocess
import sys
from pathlib import Path

# Qwen-Image-Edit LoRA search path (name → file). Drop .safetensors anywhere under these and they
# become usable as {"loras": ["multiple-angles=1.0", ...]}. Same UX as sd_local's LoRA list.
QWEN_LORA_DIRS = [Path(os.path.expanduser(d)) for d in os.environ.get(
    "QWEN_LORA_DIRS", "~/Documents/localmodels/QwenLora").split(":")]


def find_lora(stem: str):
    """Match by exact filename stem, else the first file whose stem contains it (case-insensitive)."""
    stem = stem.strip()
    cands = [f for d in QWEN_LORA_DIRS if d.is_dir() for f in d.rglob("*.safetensors")]
    for f in cands:
        if f.stem == stem:
            return f
    low = stem.lower()
    for f in cands:
        if low in f.stem.lower() or low in f.parent.name.lower():
            return f
    return None


ap = argparse.ArgumentParser()
ap.add_argument("--input", action="append", default=[])
ap.add_argument("--outdir", required=True)
ap.add_argument("--params", default="{}")
a = ap.parse_args()
p = json.loads(a.params)

if not a.input:
    print("ERROR: no input image")
    sys.exit(1)
if not p.get("prompt"):
    print("ERROR: prompt is required — describe the edit you want")
    sys.exit(1)
cli = Path(sys.executable).parent / "mflux-generate-qwen-edit"
if not cli.exists():
    print(f"ERROR: {cli} missing. Run scripts/install_mflux.sh")
    sys.exit(1)

src = Path(a.input[0])
outdir = Path(a.outdir)
out = outdir / f"{src.stem}_edited.png"
# ALL inputs go to Qwen (it composes up to ~3 images: "put the shirt from image 2 on the person
# in image 1"). Single-image jobs behave exactly as before.
cmd = [str(cli), "--image-paths", *[str(Path(x).resolve()) for x in a.input],
       "--prompt", p["prompt"],
       "--steps", str(p.get("steps", 25)),
       "--seed", str(p.get("seed", 42)),
       "--guidance", str(p.get("guidance", 4.0)),
       "--output", str(out.resolve())]

# optional LoRAs: ["multiple-angles=1.0", "gymnastics-pose=0.8"] → --lora-paths/--lora-scales
paths, scales = [], []
for spec in (p.get("loras") or []):
    name, _, w = str(spec).partition("=")
    f = find_lora(name)
    if not f:
        print(f"LORA MISS '{name}' — searched {[str(d) for d in QWEN_LORA_DIRS]}", flush=True)
        continue
    paths.append(str(f))
    scales.append(str(float(w or 1.0)))
if paths:
    cmd += ["--lora-paths", *paths, "--lora-scales", *scales]
    print(f"loras: {list(zip(paths, scales))}", flush=True)

print("+", " ".join(cmd), flush=True)
print("(first run downloads Qwen-Image-Edit weights)", flush=True)
res = subprocess.run(cmd, cwd=str(outdir), stdout=sys.stdout, stderr=subprocess.STDOUT)
if res.returncode != 0:
    sys.exit(res.returncode)

pngs = sorted(outdir.rglob("*.png"))
if not pngs:
    print("ERROR: no edited image produced")
    sys.exit(1)
img = out if out.exists() else pngs[-1]
(outdir / "result.json").write_text(json.dumps(
    {"outputs": [{"path": img.name, "meta": {"tool": "qwen-image-edit"}}]}))
print(f"done: {img.name}", flush=True)