#!/usr/bin/env python3
"""Provision a reproducible, region-balanced Belgian building corpus portfolio."""

from __future__ import annotations

import argparse
import json
from dataclasses import asdict, dataclass
from pathlib import Path
from typing import Any

import requests
from pyproj import Transformer


@dataclass(frozen=True)
class Aoi:
    slug: str
    region: str
    context: str
    split: str
    lon: float
    lat: float
    sample_role: str = "positive"
    require_empty: bool = False


AOIS = (
    # Flanders: all split roles plus authoritative empty/hard contexts.
    Aoi("antwerp-core-train", "flanders", "dense-urban", "train", 4.402, 51.219),
    Aoi("ghent-core-train", "flanders", "dense-urban", "train", 3.725, 51.052),
    Aoi("genk-industry-train", "flanders", "industrial", "train", 5.500, 50.965),
    Aoi("flanders-farms-train", "flanders", "rural-farms", "train", 4.850, 50.900),
    Aoi("bruges-val", "flanders", "historic-urban", "val", 3.224, 51.209),
    Aoi("turnhout-val", "flanders", "suburban", "val", 4.944, 51.322),
    Aoi("hasselt-cal", "flanders", "suburban", "calibration", 5.340, 50.930),
    Aoi("kortrijk-cal", "flanders", "urban-industrial", "calibration", 3.265, 50.828),
    Aoi("leuven-test", "flanders", "urban", "test", 4.700, 50.880),
    Aoi("sint-niklaas-test", "flanders", "ribbon-development", "test", 4.143, 51.165),
    Aoi("kempen-forest-bg", "flanders", "forest-heath", "background-test", 5.180, 51.300, "background_candidate", True),
    Aoi("antwerp-port-bg", "flanders", "port-hard-negative", "background-test", 4.380, 51.280, "background_candidate", True),
    # Wallonia.
    Aoi("liege-core-train", "wallonia", "dense-urban", "train", 5.570, 50.640),
    Aoi("charleroi-core-train", "wallonia", "dense-urban", "train", 4.440, 50.410),
    Aoi("seraing-industry-train", "wallonia", "industrial-valley", "train", 5.500, 50.600),
    Aoi("namur-residential-train", "wallonia", "residential", "train", 4.870, 50.470),
    Aoi("tournai-val", "wallonia", "historic-urban", "val", 3.389, 50.606),
    Aoi("arlon-val", "wallonia", "small-city", "val", 5.817, 49.683),
    Aoi("verviers-cal", "wallonia", "suburban", "calibration", 5.860, 50.590),
    Aoi("dinant-cal", "wallonia", "valley-town", "calibration", 4.912, 50.260),
    Aoi("mons-test", "wallonia", "urban", "test", 3.950, 50.450),
    Aoi("bastogne-test", "wallonia", "rural-town", "test", 5.720, 50.000),
    Aoi("wallonia-rural-bg", "wallonia", "open-rural", "background-test", 5.000, 50.300, "background_candidate", True),
    Aoi("ardennes-forest-hard", "wallonia", "forest-hard-negative", "background-test", 5.600, 50.100, "background_candidate"),
    # Brussels.
    Aoi("brussels-center-train", "brussels", "dense-urban", "train", 4.352, 50.847),
    Aoi("anderlecht-industry-train", "brussels", "industrial", "train", 4.320, 50.880),
    Aoi("uccle-residential-train", "brussels", "detached-residential", "train", 4.350, 50.795),
    Aoi("schaerbeek-train", "brussels", "dense-residential", "train", 4.380, 50.865),
    Aoi("woluwe-val", "brussels", "suburban", "val", 4.430, 50.845),
    Aoi("molenbeek-val", "brussels", "mixed-urban", "val", 4.325, 50.855),
    Aoi("brussels-park-cal", "brussels", "park-edge", "calibration", 4.380, 50.820),
    Aoi("brussels-canal-cal", "brussels", "canal-industry", "calibration", 4.340, 50.870),
    Aoi("brussels-rail-test", "brussels", "rail-context", "test", 4.330, 50.840),
    Aoi("jette-test", "brussels", "residential-park", "test", 4.325, 50.880),
    Aoi("sonian-forest-hard", "brussels", "forest-hard-negative", "background-test", 4.410, 50.770, "background_candidate"),
    Aoi("bois-cambre-hard", "brussels", "park-hard-negative", "background-test", 4.375, 50.795, "background_candidate"),
)

REGION_CONTRACT = {
    "flanders": {
        "area_id": "2a1a064e-cfd6-46f4-981a-d6ffa0ed5b5e",
        "orthophoto_product": "most_recent",
        "reference_path": "datasets/grb/acquire",
        "reference_product": "buildings",
    },
    "wallonia": {
        "area_id": "e5fd742a-ca18-4520-abe0-d28416aa2ece",
        "orthophoto_product": "wallonia_latest",
        "reference_path": "datasets/official-vector/acquire",
        "reference_product": "spw_picc_buildings",
    },
    "brussels": {
        "area_id": "304b413d-d81c-40fc-922e-49907b8efaaa",
        "orthophoto_product": "brussels_latest",
        "reference_path": "datasets/official-vector/acquire",
        "reference_product": "urbis_buildings",
    },
}


def bbox_for_center(lon: float, lat: float, side_m: float) -> dict[str, Any]:
    to_metric = Transformer.from_crs("EPSG:4326", "EPSG:31370", always_xy=True)
    to_wgs84 = Transformer.from_crs("EPSG:31370", "EPSG:4326", always_xy=True)
    x, y = to_metric.transform(lon, lat)
    half = side_m / 2.0
    min_lon, min_lat, max_lon, max_lat = to_wgs84.transform_bounds(x - half, y - half, x + half, y + half)
    return {"min_x": min_lon, "min_y": min_lat, "max_x": max_lon, "max_y": max_lat, "crs": "EPSG:4326"}


def post(session: requests.Session, url: str, payload: dict[str, Any]) -> dict[str, Any]:
    response = session.post(url, json=payload, timeout=180)
    response.raise_for_status()
    body = response.json()
    if body.get("error"):
        raise RuntimeError(f"{body['error']}: {body.get('message')}")
    job = body["data"]
    if job.get("status") != "success":
        raise RuntimeError(f"Job failed: {job}")
    return job


def main() -> int:
    parser = argparse.ArgumentParser()
    parser.add_argument("--project-id", required=True)
    parser.add_argument("--base-url", default="http://127.0.0.1:8000/api/v1")
    parser.add_argument("--output-spec", type=Path, required=True)
    parser.add_argument("--side-m", type=float, default=256.0)
    parser.add_argument("--resolution-m", type=float, default=0.25)
    parser.add_argument("--force-refresh", action="store_true")
    args = parser.parse_args()
    session = requests.Session()
    samples: list[dict[str, Any]] = []
    for aoi in AOIS:
        contract = REGION_CONTRACT[aoi.region]
        bbox = bbox_for_center(aoi.lon, aoi.lat, args.side_m)
        common = {"bbox": bbox, "area_id": contract["area_id"], "force_refresh": args.force_refresh}
        image_job = post(
            session,
            f"{args.base_url}/projects/{args.project_id}/datasets/orthophoto/acquire",
            {**common, "product_key": contract["orthophoto_product"], "resolution_m": args.resolution_m},
        )
        reference_job = post(
            session,
            f"{args.base_url}/projects/{args.project_id}/{contract['reference_path']}",
            {**common, "product_key": contract["reference_product"]},
        )
        feature_count = int(reference_job["result_json"]["feature_count"])
        if aoi.require_empty and feature_count != 0:
            raise RuntimeError(f"Pure-background AOI {aoi.slug} contains {feature_count} reference buildings")
        samples.append(
            {
                **asdict(aoi),
                "bbox_epsg4326": [bbox["min_x"], bbox["min_y"], bbox["max_x"], bbox["max_y"]],
                "raster_dataset_id": image_job["output_dataset_id"],
                "reference_dataset_id": reference_job["output_dataset_id"],
                "provider_reference_feature_count": feature_count,
            }
        )
        print(f"{aoi.slug}: {feature_count} reference buildings", flush=True)
    payload = {
        "schema_version": 1,
        "side_m": args.side_m,
        "resolution_m": args.resolution_m,
        "samples": samples,
    }
    args.output_spec.parent.mkdir(parents=True, exist_ok=True)
    args.output_spec.write_text(json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps({"status": "ok", "sample_count": len(samples), "output_spec": str(args.output_spec)}))
    return 0


if __name__ == "__main__":
    raise SystemExit(main())