from __future__ import annotations

import json
from pathlib import Path
import tempfile
import unittest

from review_floor_events import (
    CandidateRepository,
    ReviewStore,
    expand_candidate_paths,
    load_candidates,
    parse_byte_range,
)


class FloorEventReviewTests(unittest.TestCase):
    def _fixture(self, root: Path) -> tuple[Path, Path]:
        dataset = root / "dataset"
        video_dir = dataset / "Main" / "Video_Compressed" / "Session_4"
        transcript_dir = dataset / "Main" / "Speech_Transcriptions" / "Session_4"
        video_dir.mkdir(parents=True)
        transcript_dir.mkdir(parents=True)
        (video_dir / "00-00-000.mp4").write_bytes(b"mock-video")
        (transcript_dir / "00-00-000.json").write_text(
            json.dumps(
                [
                    {
                        "Start_Frame": 1,
                        "End_Frame": 20,
                        "Participant_ID": 4,
                        "Transcription": "Are you coming?",
                        "Target_of_Speech": [2],
                    },
                    {
                        "Start_Frame": 25,
                        "End_Frame": 40,
                        "Participant_ID": 2,
                        "Transcription": "Yes.",
                        "Target_of_Speech": [4],
                    },
                ]
            ),
            encoding="utf-8",
        )
        events = root / "candidates.jsonl"
        events.write_text(
            json.dumps(
                {
                    "uid": "Session_4/00-00-000/0001",
                    "session": "Session_4",
                    "split": "train",
                    "event_type": "ordinary_switch",
                    "confidence": "timing",
                    "participant_role": "wearer",
                    "clip_stem": "00-00-000",
                    "source_start_frame": 25,
                    "dense_start_seconds": 1.2,
                }
            )
            + "\n",
            encoding="utf-8",
        )
        return dataset, events

    def test_candidate_detail_resolves_media_and_transcript(self) -> None:
        with tempfile.TemporaryDirectory() as temporary:
            root = Path(temporary)
            dataset, events = self._fixture(root)
            candidates = load_candidates([events])
            repository = CandidateRepository(
                candidates,
                dataset,
                context_before_seconds=3.0,
                context_after_seconds=3.0,
            )
            detail = repository.detail(candidates[0])
            self.assertTrue(detail["media_available"])
            self.assertEqual(detail["event_local_seconds"], 1.2)
            self.assertEqual(len(detail["transcript"]), 2)
            self.assertTrue(detail["transcript"][1]["is_anchor"])

    def test_review_store_writes_resumable_jsonl_and_csv(self) -> None:
        with tempfile.TemporaryDirectory() as temporary:
            root = Path(temporary)
            _, events = self._fixture(root)
            candidates = load_candidates([events])
            output = root / "reviews" / "reviews.jsonl"
            store = ReviewStore(output, candidates)
            review = {
                "protocol_disposition": "positive",
                "hard_negative_type": "not_applicable",
                "validity": "valid",
                "onset_function": "backchannel",
                "context": "addressed_wearer",
                "offset_outcome": "not_applicable",
                "anchor_adjustment_bins": 0,
                "behavior_adjustment_bins": 0,
                "region_end_adjustment_bins": None,
                "confidence": "high",
                "reviewer": "r1",
                "notes": "clear acknowledgement",
            }
            store.save(candidates[0].candidate_id, review)
            self.assertTrue(output.is_file())
            self.assertTrue(output.with_suffix(".csv").is_file())
            resumed = ReviewStore(output, candidates)
            self.assertEqual(
                resumed.reviews[candidates[0].candidate_id]["review"]["onset_function"],
                "backchannel",
            )

    def test_directory_expansion_excludes_output(self) -> None:
        with tempfile.TemporaryDirectory() as temporary:
            root = Path(temporary)
            candidate = root / "Session_4.events.jsonl"
            output = root / "reviews.jsonl"
            candidate.write_text("{}\n", encoding="utf-8")
            output.write_text("{}\n", encoding="utf-8")
            self.assertEqual(
                expand_candidate_paths([root], output_path=output),
                [candidate.resolve()],
            )

    def test_byte_ranges(self) -> None:
        self.assertEqual(parse_byte_range("bytes=2-5", 10), (2, 5))
        self.assertEqual(parse_byte_range("bytes=7-", 10), (7, 9))
        self.assertEqual(parse_byte_range("bytes=-3", 10), (7, 9))
        with self.assertRaises(ValueError):
            parse_byte_range("bytes=20-30", 10)


if __name__ == "__main__":
    unittest.main()