def __post_init__()

in src/autotrain/preprocessor/vlm.py [0:0]

• 16 lines of code
• 20 McCabe index (conditional complexity)

    def __post_init__(self):
        # Check if train data path exists
        if not os.path.exists(self.train_data):
            raise ValueError(f"{self.train_data} does not exist.")

        # check if self.train_data contains at least 5 image files in jpeg, png or jpg format only
        train_image_files = [f for f in os.listdir(self.train_data) if f.endswith(ALLOWED_EXTENSIONS)]
        if len(train_image_files) < 5:
            raise ValueError(f"{self.train_data} should contain at least 5 jpeg, png or jpg files.")

        # check if self.train_data contains a metadata.jsonl file
        if "metadata.jsonl" not in os.listdir(self.train_data):
            raise ValueError(f"{self.train_data} should contain a metadata.jsonl file.")

        # Check if valid data path exists
        if self.valid_data:
            if not os.path.exists(self.valid_data):
                raise ValueError(f"{self.valid_data} does not exist.")

            # check if self.valid_data contains at least 5 image files in jpeg, png or jpg format only
            valid_image_files = [f for f in os.listdir(self.valid_data) if f.endswith(ALLOWED_EXTENSIONS)]
            if len(valid_image_files) < 5:
                raise ValueError(f"{self.valid_data} should contain at least 5 jpeg, png or jpg files.")

            # check if self.valid_data contains a metadata.jsonl file
            if "metadata.jsonl" not in os.listdir(self.valid_data):
                raise ValueError(f"{self.valid_data} should contain a metadata.jsonl file.")