#!/usr/bin/env python3
from __future__ import annotations

import argparse
import json
from pathlib import Path

import pyarrow.parquet as pq
import polars as pl
from datasets import Dataset, Features, Image, Sequence, Value


GMAIL_COLUMNS = [
    "id",
    "domain",
    "episode_id",
    "step_id",
    "split",
    "instruction",
    "current_activity",
    "image",
    "target_json",
    "action_text",
    "ex_action_type",
    "touch_x",
    "touch_y",
    "lift_x",
    "lift_y",
    "image_height",
    "image_width",
]

INDEX_COLUMNS = [
    "domain",
    "split",
    "episode_id",
    "step_id",
    "package",
    "activity",
    "app_label",
    "label_source",
    "goal_info",
    "action_text",
    "action_family",
    "ex_action_type",
    "touch_x",
    "touch_y",
    "lift_x",
    "lift_y",
    "image_height",
    "image_width",
    "tar_member",
]


def _parse_target(target_json: str) -> tuple[str, list[int], list[int]]:
    try:
        obj = json.loads(target_json)
        args = obj.get("arguments", {})
        action = str(args.get("action", "unknown"))
        coord = args.get("coordinate") or []
        coord2 = args.get("coordinate2") or []
        return action, [int(x) for x in coord], [int(x) for x in coord2]
    except Exception:
        return "unknown", [], []


def build_gmail_examples(root: Path, out_dir: Path, n: int) -> None:
    src = root / "parquet/aitw_gmail_google_apps_train.parquet"
    table = pq.ParquetFile(src).read_row_group(0, columns=GMAIL_COLUMNS)
    rows = []

    for row in table.slice(0, min(n, table.num_rows)).to_pylist():
        action, coord, coord2 = _parse_target(row["target_json"] or "")
        rows.append(
            {
                "id": row["id"],
                "domain": row["domain"],
                "split": row["split"],
                "episode_id": row["episode_id"],
                "step_id": int(row["step_id"]),
                "instruction": row["instruction"],
                "current_activity": row["current_activity"],
                "image": {"bytes": row["image"], "path": None},
                "target_json": row["target_json"],
                "action": action,
                "coordinate": coord,
                "coordinate2": coord2,
                "action_text": row["action_text"],
                "ex_action_type": int(row["ex_action_type"]) if row["ex_action_type"] is not None else -1,
                "touch_x": float(row["touch_x"]) if row["touch_x"] is not None else None,
                "touch_y": float(row["touch_y"]) if row["touch_y"] is not None else None,
                "lift_x": float(row["lift_x"]) if row["lift_x"] is not None else None,
                "lift_y": float(row["lift_y"]) if row["lift_y"] is not None else None,
                "image_height": int(row["image_height"]),
                "image_width": int(row["image_width"]),
            }
        )

    features = Features(
        {
            "id": Value("string"),
            "domain": Value("string"),
            "split": Value("string"),
            "episode_id": Value("string"),
            "step_id": Value("int64"),
            "instruction": Value("string"),
            "current_activity": Value("string"),
            "image": Image(),
            "target_json": Value("string"),
            "action": Value("string"),
            "coordinate": Sequence(Value("int64")),
            "coordinate2": Sequence(Value("int64")),
            "action_text": Value("string"),
            "ex_action_type": Value("int64"),
            "touch_x": Value("float64"),
            "touch_y": Value("float64"),
            "lift_x": Value("float64"),
            "lift_y": Value("float64"),
            "image_height": Value("int64"),
            "image_width": Value("int64"),
        }
    )
    ds = Dataset.from_list(rows, features=features)
    ds.to_parquet(out_dir / "gmail_mobile_use_examples.parquet")


def build_app_index_sample(root: Path, out_dir: Path, n_per_app: int) -> None:
    src = root / "app_index/aitw_app_index.parquet"
    apps = [
        "Gmail",
        "Chrome",
        "Android Settings",
        "Google Calendar",
        "Google Maps",
        "Clock",
        "Google Play Store",
        "Google Photos",
    ]
    app_order = {app: i for i, app in enumerate(apps)}
    out = (
        pl.scan_parquet(str(src))
        .select(INDEX_COLUMNS)
        .filter(pl.col("app_label").is_in(apps))
        .with_columns(
            pl.col("app_label").cum_count().over("app_label").alias("_rank"),
            pl.col("app_label")
            .replace_strict(app_order, default=len(apps), return_dtype=pl.Int64)
            .alias("_app_order"),
        )
        .filter(pl.col("_rank") <= n_per_app)
        .sort(["_app_order", "episode_id", "step_id"])
        .drop(["_rank", "_app_order"])
        .collect(engine="streaming")
    )
    out.write_parquet(out_dir / "app_index_sample.parquet")


def main() -> None:
    p = argparse.ArgumentParser()
    p.add_argument("--root", default="/data/gmail_aitw")
    p.add_argument("--out-dir", default="/data/gmail_aitw/hf_upload/aitw_processed_labeled_full/viewer_examples")
    p.add_argument("--gmail-examples", type=int, default=16)
    p.add_argument("--index-examples-per-app", type=int, default=5)
    args = p.parse_args()

    root = Path(args.root)
    out_dir = Path(args.out_dir)
    out_dir.mkdir(parents=True, exist_ok=True)
    build_gmail_examples(root, out_dir, args.gmail_examples)
    build_app_index_sample(root, out_dir, args.index_examples_per_app)
    print(out_dir)


if __name__ == "__main__":
    main()