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

import argparse
import json
import os

os.environ.setdefault("TRANSFORMERS_NO_TF", "1")
os.environ.setdefault("TRANSFORMERS_NO_FLAX", "1")
os.environ.setdefault("TRANSFORMERS_NO_TORCHVISION", "1")
os.environ["USE_TF"] = "0"
os.environ["USE_FLAX"] = "0"
os.environ["USE_TORCH"] = "1"

from common import decode_span_matrix, load_onnx_session, run_onnx_span, sigmoid_np


def replacement(label: str) -> str:
    return f"[PII:{label}]"


def mask_text(text: str, spans: list[dict]) -> str:
    out = text
    for span in sorted(spans, key=lambda item: (item["start"], item["end"]), reverse=True):
        out = out[: span["start"]] + replacement(span["label"]) + out[span["end"] :]
    return out


def predict(text: str, session, tokenizer, config, min_score: float):
    encoded = tokenizer(text, return_offsets_mapping=True, return_tensors="np", truncation=True)
    offsets = [tuple(item) for item in encoded["offset_mapping"][0].tolist()]
    span_logits = run_onnx_span(session, encoded)
    span_scores = sigmoid_np(span_logits[0])
    spans = decode_span_matrix(text, offsets, span_scores, config, min_score)
    for span in spans:
        span["replacement"] = replacement(span["label"])
    return spans


def main() -> None:
    parser = argparse.ArgumentParser()
    parser.add_argument("--model", required=True)
    parser.add_argument("--text", required=True)
    parser.add_argument("--min-score", type=float, default=0.5)
    parser.add_argument("--json", action="store_true")
    args = parser.parse_args()

    session, tokenizer, config = load_onnx_session(args.model, onnx_file="model_quantized.onnx", onnx_subfolder="onnx")
    spans = predict(args.text, session, tokenizer, config, args.min_score)
    result = {
        "model": args.model,
        "backend": "onnx_global_pointer_q8",
        "min_score": args.min_score,
        "spans": spans,
        "masked_text": mask_text(args.text, spans),
    }
    if args.json:
        print(json.dumps(result, indent=2, ensure_ascii=False))
    else:
        print(result["masked_text"])


if __name__ == "__main__":
    main()