import pandas as pd
from cyvcf2 import VCF

def vcf2pandas(
    vcf_file_path: str,
    variant_headers: list = [],
    num_rows: int = -1
) -> pd.DataFrame:

    if not isinstance(num_rows, int):
        raise ValueError("num_rows must be an integer")
    if num_rows < -1:
        raise ValueError("num_rows cannot be negative")

    v = VCF(vcf_file_path)
    if not variant_headers:
        variant_headers = ['ALT', 'CHROM', 'FILTER', 'FORMAT', 'ID', 'POS', 'QUAL', 'REF', 'aaf', 'ploidy', 'is_snp', 'is_indel', 'is_deletion', 'is_sv']
    info_headers = {}
    for header in v.header_iter():
        if header['HeaderType'] == 'INFO':
            info_headers[header['ID']] = header
    df = pd.DataFrame()

    # Parse each row
    for idx, i in enumerate(v):
        row_val = {}
        if idx % 100 == 0:
            print(f"Parsing line: {idx}")
        for header in variant_headers:
            row_val[header] = i.__getattribute__(header)
        for header in info_headers.keys():
            row_val[header] = i.INFO.get(header)
        df = df.append(row_val, ignore_index=True)
        if num_rows == -1:
            break
        elif idx == num_rows:
            break
    return df