"""Tests for checkpoint serialization — unit tests without S3."""

import json

import numpy as np
import pytest

from detect.models import BoundingBox, BrandDetection, Frame, PipelineStats, TextCandidate
from core.schema.serializers._common import safe_construct
from core.schema.serializers.detect_pipeline import (
    serialize_frame_meta,
    serialize_text_candidate,
    serialize_text_candidates,
    serialize_dataclass_list,
    deserialize_text_candidate,
    deserialize_text_candidates,
    deserialize_bounding_box,
    deserialize_brand_detection,
    deserialize_pipeline_stats,
)


def _make_frame(seq: int = 0, w: int = 100, h: int = 80) -> Frame:
    image = np.random.randint(0, 255, (h, w, 3), dtype=np.uint8)
    return Frame(
        sequence=seq, chunk_id=0, timestamp=float(seq) * 0.5,
        image=image, perceptual_hash=f"hash_{seq}",
    )


def _make_box(x=10, y=10, w=30, h=20) -> BoundingBox:
    return BoundingBox(x=x, y=y, w=w, h=h, confidence=0.9, label="text")


def _make_candidate(frame: Frame, text: str = "NIKE") -> TextCandidate:
    box = _make_box()
    return TextCandidate(frame=frame, bbox=box, text=text, ocr_confidence=0.85)


def _make_detection(brand: str = "Nike", timestamp: float = 1.0) -> BrandDetection:
    return BrandDetection(
        brand=brand, timestamp=timestamp, duration=0.5,
        confidence=0.92, source="ocr", content_type="soccer_broadcast", frame_ref=0,
    )


# --- Frame metadata ---

def test_serialize_frame_meta():
    frame = _make_frame(seq=5)
    meta = serialize_frame_meta(frame)

    assert meta["sequence"] == 5
    assert meta["timestamp"] == 2.5
    assert meta["perceptual_hash"] == "hash_5"
    assert "image" not in meta


# --- TextCandidate ---

def test_serialize_text_candidate():
    frame = _make_frame()
    candidate = _make_candidate(frame, text="EMIRATES")
    data = serialize_text_candidate(candidate)

    assert data["frame_sequence"] == 0
    assert data["text"] == "EMIRATES"
    assert data["ocr_confidence"] == 0.85
    assert "bbox" in data


def test_deserialize_text_candidate():
    frame = _make_frame()
    candidate = _make_candidate(frame, text="ADIDAS")

    serialized = serialize_text_candidate(candidate)
    frame_map = {frame.sequence: frame}

    restored = deserialize_text_candidate(serialized, frame_map)

    assert restored.text == "ADIDAS"
    assert restored.ocr_confidence == 0.85
    assert restored.frame is frame
    assert restored.bbox.x == 10


# --- BoundingBox ---

def test_bounding_box_round_trip():
    box = _make_box(x=15, y=25, w=40, h=30)
    serialized = serialize_dataclass_list([box])[0]
    restored = deserialize_bounding_box(serialized)

    assert restored.x == 15
    assert restored.w == 40
    assert restored.confidence == 0.9


# --- BrandDetection ---

def test_brand_detection_round_trip():
    det = _make_detection("Emirates", 3.5)
    serialized = serialize_dataclass_list([det])[0]
    restored = deserialize_brand_detection(serialized)

    assert restored.brand == "Emirates"
    assert restored.timestamp == 3.5
    assert restored.source == "ocr"


# --- PipelineStats ---

def test_pipeline_stats_round_trip():
    stats = PipelineStats(
        frames_extracted=120, cloud_llm_calls=3,
        estimated_cloud_cost_usd=0.005,
    )
    serialized = serialize_dataclass_list([stats])[0]
    restored = deserialize_pipeline_stats(serialized)

    assert restored.frames_extracted == 120
    assert restored.cloud_llm_calls == 3
    assert restored.estimated_cloud_cost_usd == 0.005


# --- safe_construct tolerates schema changes ---

def test_safe_construct_ignores_unknown_fields():
    data = {"x": 1, "y": 2, "w": 3, "h": 4, "confidence": 0.5, "label": "t", "extra_field": 99}
    box = safe_construct(BoundingBox, data)

    assert box.x == 1
    assert not hasattr(box, "extra_field")


def test_safe_construct_uses_defaults():
    data = {"frames_extracted": 50}
    stats = safe_construct(PipelineStats, data)

    assert stats.frames_extracted == 50
    assert stats.cloud_llm_calls == 0  # default


# --- JSON compatibility ---

def test_all_serialized_is_json_compatible():
    frame = _make_frame()
    candidate = _make_candidate(frame)
    detection = _make_detection()
    stats = PipelineStats(frames_extracted=10)

    all_data = {
        "frame_meta": serialize_frame_meta(frame),
        "candidate": serialize_text_candidate(candidate),
        "detection": serialize_dataclass_list([detection])[0],
        "stats": serialize_dataclass_list([stats])[0],
    }

    json_str = json.dumps(all_data, default=str)
    assert len(json_str) > 0

    roundtrip = json.loads(json_str)
    assert roundtrip["frame_meta"]["sequence"] == frame.sequence