import re
import requests
import difflib

API_KEY = "<TRUFFLEHOG_REDACTED_BSCSCAN>"
BASE_URL = "https://api.bscscan.com/api"
similarity_threshold = 0.01


def get_contract_source_code(address):
    params = {
        "module": "contract",
        "action": "getsourcecode",
        "address": address,
        "apiKey": API_KEY
    }

    response = requests.get(BASE_URL, params=params)
    data = response.json()

    if data["status"] == "1":
        source_code = data["result"][0]["SourceCode"]
        return source_code
    else:
        return None


def jaccard_similarity(str1, str2):
    a = set(str1.split())
    b = set(str2.split())
    c = a.intersection(b)
    return float(len(c)) / (len(a) + len(b) - len(c))


def find_similar_contracts(reference_addresses, candidate_addresses):
    reference_source_codes = {}
    for reference_address in reference_addresses:
        source_code = get_contract_source_code(reference_address)
        if source_code is not None:
            reference_source_codes[reference_address] = source_code

    if not reference_source_codes:
        print("No source code found for reference contracts")
        return []

    similar_contracts = {}
    for address in candidate_addresses:
        candidate_source_code = get_contract_source_code(address)
        if candidate_source_code is not None:
            for reference_address, reference_source_code in reference_source_codes.items():
                similarity = jaccard_similarity(candidate_source_code, reference_source_code)
                if similarity >= similarity_threshold:
                    if reference_address not in similar_contracts:
                        similar_contracts[reference_address] = [(address, similarity)]
                    else:
                        similar_contracts[reference_address].append((address, similarity))

    return similar_contracts


def print_code_difference(reference_code, candidate_code):
    reference_lines = reference_code.splitlines()
    candidate_lines = candidate_code.splitlines()
    diff = difflib.unified_diff(reference_lines, candidate_lines)

    for line in diff:
        print(line)

def filter_lines(code, patterns):
    lines = code.splitlines()
    filtered_lines = []

    for line in lines:
        line = line.lstrip()  # Removing leading spaces
        include_line = True

        for pattern in patterns:
            if line.startswith(pattern):
                include_line = False
                break

        if include_line:
            filtered_lines.append(line)

    return "\n".join(filtered_lines)

def save_code_to_file(filename, code):
    with open(filename, "w") as f:
        f.write(code)

if __name__ == "__main__":
    reference_addresses = ["0x445645eC7c2E66A28e50fbCF11AAa666290Cd5bb"]
    candidate_addresses = ["0x4401E60E39F7d3F8D5021F113306AF1759a6c168"]

    exclude_patterns = ["//", "*", "/**", "/", "*/"]

    similar_contracts = find_similar_contracts(reference_addresses, candidate_addresses)
    print("Contracts with similar source code (ignoring comments):")
    for reference_address, similar_addresses in similar_contracts.items():
        reference_code = get_contract_source_code(reference_address)
        filtered_reference_code = filter_lines(reference_code, exclude_patterns)
        save_code_to_file(f"{reference_address}_code.txt", filtered_reference_code)

        for address, similarity in similar_addresses:
            print(f"Reference contract: {reference_address}")
            candidate_code = get_contract_source_code(address)
            filtered_candidate_code = filter_lines(candidate_code, exclude_patterns)
            save_code_to_file(f"{address}_code.txt", filtered_candidate_code)

            print(f"Similar contract: {address} with a similarity of {similarity:.2f}")

            if similarity < 1.0:
                print("Code differences:")
                print_code_difference(filtered_reference_code, filtered_candidate_code)
                print("\n")

Complete the code above so that in the resulting text files the lines in which there are no characters