# test_queue.py
# Simulate several geologists submitting crop GeoTIFF jobs concurrently.

import os
import threading
import time

import requests

URL = "http://localhost:8000"

# Use a real georeferenced crop GeoTIFF here.
# For example, one generated by your QGIS plugin:
# C:\Users\juan_\AppData\Local\Temp\sam2_crop_XXXXXXXXXX.tif
CROP_PATH = os.path.abspath("sam2_crop_test.tif")


def geologist_client(geologist_id: int):
    print(f"[Geólogo {geologist_id}] Enviando crop GeoTIFF al servidor...")

    if not os.path.isfile(CROP_PATH):
        print(f"[Geólogo {geologist_id}] No existe el crop: {CROP_PATH}")
        return

    try:
        with open(CROP_PATH, "rb") as f:
            files = {
                "crop": (
                    os.path.basename(CROP_PATH),
                    f,
                    "image/tiff",
                )
            }

            data = {
                "device": "cpu",
                "use_clahe": "true",
                "clahe_clip": "4.0",
                "clahe_grid": "6",
                "sam2_points_per_side": "32",
                "sam2_points_per_batch": "32",
                "sam2_pred_iou_thresh": "0.35",
                "sam2_stability_score_thresh": "0.65",
                "filter_min_area_px": "1000",
                "filter_max_area_frac": "0.20",
                "filter_min_iou": "0.35",
                "filter_min_stability": "0.65",
                "filter_border_margin": "10",
                "max_crop_side": "4096",
            }

            resp = requests.post(
                f"{URL}/process",
                files=files,
                data=data,
            )

            resp.raise_for_status()

    except Exception as e:
        print(f"[Geólogo {geologist_id}] Error enviando tarea: {e}")
        return

    data = resp.json()
    task_id = data["task_id"]

    print(f"[Geólogo {geologist_id}] Tarea aceptada. ID: {task_id}")

    last_status = None

    while True:
        try:
            status_resp = requests.get(f"{URL}/status/{task_id}")
            status_resp.raise_for_status()
            s_data = status_resp.json()

            status_value = s_data["status"]

            if status_value == "pending":
                pos = s_data.get("queue_position")
                current_status = f"pending_pos_{pos}"

                if current_status != last_status:
                    print(
                        f"[Geólogo {geologist_id}] Estado: En cola | Posición: {pos}"
                    )
                    last_status = current_status

            elif status_value == "processing":
                if last_status != "processing":
                    print(
                        f"[Geólogo {geologist_id}] Estado: Procesando inferencia SAM2..."
                    )
                    last_status = "processing"

            elif status_value == "completed":
                n_masks = s_data.get("n_masks")
                output_exists = s_data.get("output_exists")
                download_url = s_data.get("download_url")

                print(
                    f"[Geólogo {geologist_id}] COMPLETO | "
                    f"n_masks={n_masks} | output_exists={output_exists}"
                )

                if output_exists and download_url:
                    out_path = f"downloaded_result_{geologist_id}_{task_id}.gpkg"
                    download_resp = requests.get(f"{URL}{download_url}")
                    download_resp.raise_for_status()

                    with open(out_path, "wb") as out:
                        out.write(download_resp.content)

                    print(
                        f"[Geólogo {geologist_id}] Resultado descargado: {out_path}"
                    )

                break

            elif status_value == "failed":
                print(
                    f"[Geólogo {geologist_id}] FALLÓ: {s_data.get('error')}"
                )
                break

        except Exception as e:
            print(f"[Geólogo {geologist_id}] Error consultando estado: {e}")
            break

        time.sleep(0.5)


if __name__ == "__main__":
    print("Iniciando prueba con 5 geólogos concurrentes...\n")

    threads = []

    for i in range(1, 6):
        t = threading.Thread(
            target=geologist_client,
            args=(i,),
        )

        threads.append(t)
        t.start()

    for t in threads:
        t.join()

    print("\nPrueba finalizada.")