import os
import gzip
import json
from tqdm import tqdm

processed_domains = set()
# with open("unique_source_documents.json", 'r') as file:
#     for obj in json.load(file):
#         processed_domains.add(obj["source_domain"])

other_selected_domains = list()

def is_similar(url, source_domain):
    url = url.replace("https://", "").replace("http://", "").replace("www.", "").replace(".html", "").replace("home", "").replace("index", "").strip("/")
    source_domain = source_domain.replace("www.", "")
    return url == source_domain

def extract_domains_from_file_with_url(filepath):
    with gzip.open(filepath, 'rt', encoding='utf-8') as f:
        for line in f:
            data = json.loads(line)
            source_domain = data.get('source_domain')
            url = data.get('url')
            if source_domain not in processed_domains and is_similar(url, source_domain):
                processed_domains.add(source_domain)

                json_obj = {}
                json_obj["url"] = data["url"]
                json_obj["source_domain"] = data["source_domain"]
                json_obj["title"] = data["title"]
                json_obj["raw_content"] = " ".join(data["raw_content"].split()[:50])

                other_selected_domains.append(json_obj)

# Function to find unique domains in snapshots folder
def find_unique_domains_with_url(folder_path):

    total_files = sum(len(files) for _, _, files in os.walk(folder_path))
    progress_bar = tqdm(total=total_files, desc="Processing")
    files_to_be_processed = []
    for snapshot in os.listdir(folder_path):
        for file in os.listdir(os.path.join(folder_path, snapshot)):
            file_path = os.path.join(folder_path, snapshot, file)
            if(file.endswith("json.gz")):
                files_to_be_processed.append(file_path)
    

    for root, dirs, files in os.walk(folder_path):
        for file in files[:100]:
            print(file)
            if file.endswith('.json.gz'):
                file_path = os.path.join(root, file)
                extract_domains_from_file_with_url(file_path)
            progress_bar.update(1)
        break
    progress_bar.close()

# Path to the snapshots folder
snapshots_folder = f'{base_path}/toxic_filtered_without_bloom_new'

# Find unique domains
find_unique_domains_with_url(snapshots_folder)

with open("new_unique_source_documents_with_url.json", 'w') as file:
    json.dump(other_selected_domains, file, indent=4, ensure_ascii=False)


# For remaining domains with no homepage


def extract_domains_from_file(filepath):
    with gzip.open(filepath, 'rt', encoding='utf-8') as f:
        for line in f:
            data = json.loads(line)
            source_domain = data.get('source_domain')
            if source_domain not in processed_domains:
                processed_domains.add(source_domain)

                json_obj = {}
                json_obj["url"] = data["url"]
                json_obj["source_domain"] = data["source_domain"]
                json_obj["title"] = data["title"]
                json_obj["raw_content"] = " ".join(data["raw_content"].split()[:50])

                other_selected_domains.append(json_obj)
        
# Function to find unique domains in snapshots folder
def find_unique_domains(folder_path):
    total_files = sum(len(files) for _, _, files in os.walk(folder_path))
    progress_bar = tqdm(total=total_files, desc="Processing")
    for root, dirs, files in os.walk(folder_path):
        for file in files:
            if file.endswith('.json.gz'):
                file_path = os.path.join(root, file)
                extract_domains_from_file(file_path)
            progress_bar.update(1)
    progress_bar.close()

# Path to the snapshots folder
snapshots_folder = f'{base_path}/toxic_filtered_without_bloom_new'

# Find unique domains
find_unique_domains(snapshots_folder)

with open("new_unique_source_documents.json", 'w') as file:
    json.dump(other_selected_domains, file, indent=4, ensure_ascii=False)



# import os
# import gzip
# import json
# from tqdm import tqdm

# other_selected_domains = list()
# processed_domains = set()
# # with open("new_unique_source_documents_with_url.json", 'r') as file:
# #     for obj in json.load(file):
# #         processed_domains.add(obj["source_domain"])
# #         other_selected_domains.append(obj)


# def extract_domains_from_file(filepath):
#     with gzip.open(filepath, 'rt', encoding='utf-8') as f:
#         for line in f:
#             data = json.loads(line)
#             source_domain = data.get('source_domain')
#             if source_domain not in processed_domains:
#                 processed_domains.add(source_domain)

#                 json_obj = {}
#                 json_obj["url"] = data["url"]
#                 json_obj["source_domain"] = data["source_domain"]
#                 json_obj["title"] = data["title"]
#                 json_obj["raw_content"] = " ".join(data["raw_content"].split()[:50])

#                 other_selected_domains.append(json_obj)
        
# # Function to find unique domains in snapshots folder
# def find_unique_domains(folder_path):
#     total_files = sum(len(files) for _, _, files in os.walk(folder_path))
#     progress_bar = tqdm(total=total_files, desc="Processing")
#     for root, dirs, files in os.walk(folder_path):
#         for file in files:
#             if file.endswith('.json.gz'):
#                 file_path = os.path.join(root, file)
#                 extract_domains_from_file(file_path)
#             progress_bar.update(1)
#     progress_bar.close()

# # Path to the snapshots folder
# snapshots_folder = f'{base_path}/toxic_filtered_without_bloom_new'

# # Find unique domains
# find_unique_domains(snapshots_folder)

# with open("new_unique_source_documents.json", 'w') as file:
#     json.dump(other_selected_domains, file, indent=4, ensure_ascii=False)