############################################################################################################
## common utils
import os
import tarfile
from tqdm import tqdm
ROOT_DIR = os.path.dirname(__file__)
DATASET_DIR=os.path.join(ROOT_DIR, "dataset")
ANNOTATIONS_DIR=os.path.join(ROOT_DIR, "dataset", "annotations")


def get_supported_resolutions():
    files = [file.split('_')[0] for file in os.listdir(ROOT_DIR) if file.endswith('.tar.gz') and 'annotations' not in file]
    return files

def extract_tar_file(tar_path, extract_path):
    with tarfile.open(tar_path, 'r:gz') as tar:
        members = tar.getmembers()
        for member in tqdm(members, desc=f"Extracting {os.path.basename(tar_path)}"):
            tar.extract(member, path=extract_path)
            
def check_and_create_dir(directory):
    if not os.path.exists(directory):
        os.makedirs(directory)

def get_annotations_list():
    annotations_dir = os.path.join(ANNOTATIONS_DIR, "single_frames", "000000", "annotations") 
       
    annotations_list = []
    
    for file in os.listdir(annotations_dir):
        if file.endswith(".json"):
            annotations_list.append(file)
    return annotations_list

def get_annotated_files_list():
    annotated_files_dir = os.path.join(ANNOTATIONS_DIR, "single_frames")
    
    annotated_files_list = os.listdir(annotated_files_dir)
    return annotated_files_list
    


############################################################################################################



##------------------------------------------------------------------------------------------------------------
############################################################################################################
### Yolo Utils
import json

orig_width = 3840
orig_height = 2160

def extract_tar_file(tar_path, extract_path):
    with tarfile.open(tar_path, 'r:gz') as tar:
        members = tar.getmembers()
        for member in tqdm(members, desc=f"Extracting {os.path.basename(tar_path)}"):
            tar.extract(member, path=extract_path)

def normalize_coordinates(coords, orig_width, orig_height, new_width, new_height):
    scale_x = new_width / orig_width
    scale_y = new_height / orig_height
    return [(x * scale_x / new_width, y * scale_y / new_height) for x, y in coords]

def convert_lane_annotations_to_yolo_seg_format(annotation, class_mapping, new_width, new_height, orig_width=3840, orig_height=2160):  
    yolo_annotations = []
    
    for item in annotation:
        properties = item.get('properties')
        if not properties:
            return None
        
        obj_class = properties.get('class')
        if not obj_class:
            return None
        
        if obj_class in class_mapping:
            class_index = class_mapping[obj_class]
            geometry = item.get('geometry')
            if not geometry:
                return None
            
            coords = geometry.get('coordinates')
            if not coords or not coords[0]:
                return None
            
            normalized_coords = normalize_coordinates(coords[0], orig_width, orig_height, new_width, new_height)
            yolo_annotation = f"{class_index} " + " ".join([f"{x} {y}" for x, y in normalized_coords])
            yolo_annotations.append(yolo_annotation)
    
    return yolo_annotations if yolo_annotations else None


if __name__ == "__main__":
    # Example usage
    annotations = [
        {"geometry": {"coordinates": [[[1312.5311279296875, 1204.11669921875], [1313.6014404296875, 1205.66259765625], [1352.015380859375, 1198.48486328125], [1352.5618896484375, 1197.9384765625], [1352.152099609375, 1196.845703125], [1352.015380859375, 1196.7091064453125], [1312.5311279296875, 1204.11669921875]]], "type": "Polygon"}, "properties": {"annotation_uuid": "dbf4ed67-c398-49dc-9652-672b4b6749cf", "class": "lm_dashed", "coloured": False, "MultipleLaneMarkings": "Single"}},
        {"geometry": {"coordinates": [[[1199.517578125, 1223.2388916015625], [1201.5904541015625, 1224.14013671875], [1260.1224365234375, 1214.2451171875], [1260.3294677734375, 1213.2098388671875], [1259.8118896484375, 1212.588623046875], [1199.3529052734375, 1222.216552734375], [1199.517578125, 1223.2388916015625]]], "type": "Polygon"}, "properties": {"annotation_uuid": "cc809a66-815f-4b21-967a-5a613dc5b3d6", "class": "lm_dashed", "coloured": False, "MultipleLaneMarkings": "Single"}},
        # Add more annotations as needed...
    ]   

    new_width = 640
    new_height = 360

    yolo_annotations = convert_lane_annotations_to_yolo_seg_format(annotations, new_width, new_height, orig_width, orig_height)

    # Write to a text file
    output_file = "annotations.txt"
    with open(output_file, "w") as file:
        for annotation in yolo_annotations:
            file.write(f"{annotation}\n")