app.py

import gradio as gr
import jieba
import jieba.analyse
import aiohttp
import asyncio
import ssl
from functools import lru_cache

# SSL context setup
ssl_context = ssl.create_default_context()
ssl_context.check_hostname = False
ssl_context.verify_mode = ssl.CERT_NONE

area_data = {
    '香港': {
        '中西區': ["西環", "堅尼地城", "石塘咀", "西營盤", "上環", "中環", "金鐘", "西半山", "中半山", "半山", "山頂"],
        '灣仔': ["灣仔", "銅鑼灣", "跑馬地", "大坑", "掃桿埔", "渣甸山"],
        '東區': ["天后", "寶馬山", "北角", "鰂魚涌", "西灣河", "筲箕灣", "柴灣", "小西灣"],
        '南區': ["薄扶林", "香港仔", "鴨脷洲", "黃竹坑", "壽臣山", "淺水灣", "舂磡角", "赤柱", "大潭", "石澳", "田灣"]
    },
    '九龍': {
        '油尖旺': ["尖沙咀", "油麻地", "西九龍", "京士柏", "旺角", "大角咀", "佐敦", "太子"],
        '深水埗': ["美孚", "荔枝角", "長沙灣", "深水埗", "石硤尾", "又一村", "大窩坪", "昂船洲"],
        '九龍城': ["紅磡", "土瓜灣", "馬頭角", "馬頭圍", "啟德", "九龍城", "何文田", "九龍塘", "筆架山"],
        '黃大仙': ["新蒲崗", "黃大仙", "東頭", "橫頭磡", "樂富", "鑽石山", "慈雲山", "牛池灣"],
        '觀塘': ["坪石", "九龍灣", "牛頭角", "佐敦谷", "觀塘", "秀茂坪", "藍田", "油塘", "鯉魚門"]
    },
    '新界': {
        '葵青': ["葵涌", "青衣", "葵芳"],
        '荃灣': ["荃灣", "梨木樹", "汀九", "深井", "青龍頭", "馬灣", "欣澳"],
        '屯門': ["大欖涌", "掃管笏", "屯門", "藍地"],
        '元朗': ["洪水橋", "廈村", "流浮山", "天水圍", "元朗", "新田", "落馬洲", "錦田", "石崗", "八鄉"],
        '北區': ["粉嶺", "聯和墟", "上水", "石湖墟", "沙頭角", "鹿頸", "烏蛟騰"],
        '大埔': ["大埔墟", "大埔", "大埔滘", "大尾篤", "船灣", "樟木頭", "企嶺下", "太和"],
        '沙田': ["大圍", "沙田", "火炭", "馬料水", "烏溪沙", "馬鞍山"],
        '西貢': ["清水灣", "西貢", "大網仔", "將軍澳", "坑口", "調景嶺", "馬游塘"],
        '離島': ["長洲", "坪洲", "大嶼山", "東涌", "南丫島"]
    }
}

@lru_cache(maxsize=None)
def load_user_dict_terms():
    user_dict_terms = set()
    dictionaries = [
        'flag/RVT_AddressCh.txt', 'flag/RVT_AddressEn.txt', 'flag/RVT_Area.txt',
        'flag/RVT_BuildingCh.txt', 'flag/RVT_BuildingEn.txt', 'flag/ChiVillage.txt',
        'flag/ChiEstate.txt', 'flag/ChiStreet.txt', 'flag/ChiBuilding.txt'
    ]
    for file_path in dictionaries:
        try:
            with open(file_path, 'r', encoding='utf-8') as f:
                user_dict_terms.update(line.strip().split()[0] for line in f)
        except FileNotFoundError:
            print(f'File not found: {file_path}')
        except Exception as e:
            print(f'Error reading file {file_path}: {e}')
    return user_dict_terms

def setup_jieba_dictionaries():
    dictionaries = [
        'flag/RVT_AddressCh.txt', 'flag/RVT_AddressEn.txt', 'flag/RVT_Area.txt',
        'flag/RVT_BuildingCh.txt', 'flag/RVT_BuildingEn.txt', 'flag/ChiVillage.txt',
        'flag/ChiEstate.txt', 'flag/ChiStreet.txt', 'flag/ChiBuilding.txt'
    ]
    for file_path in dictionaries:
        jieba.load_userdict(file_path)

def process_text(text):
    setup_jieba_dictionaries()
    user_dict_terms = load_user_dict_terms()

    lines = text.splitlines()
    results = []

    for line in lines:
        line = line.strip()
        keywords = jieba.analyse.textrank(line, topK=20, withWeight=False, allowPOS=('ns', 'n', 'vn', 'v'))
        keyword_text = ' '.join(keyword for keyword in keywords if keyword in user_dict_terms)
        results.append(keyword_text)

    return results

def reformat_text(text):
    return [line.strip() for line in text.splitlines() if line.strip()]

def process_text_only(text, reformat):
    extracted_keywords = process_text(text)
    if reformat:
        extracted_keywords = reformat_text('\n'.join(extracted_keywords))
    return '\n'.join(extracted_keywords)

async def lookup_address(query, language='zh-Hant'):
    url = 'https://www.als.gov.hk/lookup'
    headers = {'Accept': 'application/json', 'Accept-Language': language}
    payload = {'q': query}

    async with aiohttp.ClientSession() as session:
        try:
            async with session.post(url, headers=headers, data=payload, ssl=ssl_context) as response:
                if response.status == 200:
                    return await response.json()
                else:
                    print(f'Error fetching data: Status Code {response.status}')
                    return {'error': f'Error fetching data: Status Code {response.status}'}
        except aiohttp.ClientError as e:
            print(f'Client Error: {e}')
            return {'error': f'Client Error: {e}'}
        except Exception as e:
            print(f'General Error: {e}')
            return {'error': f'General Error: {e}'}

async def get_address_lookup_results(keywords):
    results = []
    tasks = [lookup_address(keyword.strip()) for keyword in keywords if
             keyword.strip() and is_valid_for_lookup(keyword.strip())]

    lookup_results = await asyncio.gather(*tasks)

    for keyword, lookup_result in zip(keywords, lookup_results):
        if 'SuggestedAddress' in lookup_result and isinstance(lookup_result['SuggestedAddress'], list):
            first_match = lookup_result['SuggestedAddress'][0]
            result = {'Keyword': keyword}

            if first_match:
                premises_address = first_match['Address']['PremisesAddress']
                raw_address = premises_address.get('ChiPremisesAddress', {})
                matched_building = raw_address.get('BuildingName', 'No Building Name')

                if matched_building != 'No Building Name':
                    result['Full Address'] = matched_building

                geo_address = premises_address.get('GeoAddress')
                if geo_address and geo_address != 'N/A':
                    result['Geo Address'] = geo_address

                geo_info = premises_address.get('GeospatialInformation', {})
                latitude = geo_info.get('Latitude')
                longitude = geo_info.get('Longitude')

                if latitude and latitude != 'N/A':
                    result['Latitude'] = latitude
                if longitude and longitude != 'N/A':
                    result['Longitude'] = longitude

            if len(result) > 1:  # Only add if there's more than just the Keyword
                results.append(result)

    return results

def is_valid_for_lookup(keyword):
    return not any(keyword in districts.keys() or keyword in subdistrict
                   for districts in area_data.values()
                   for subdistrict in districts.values())

async def gradio_function(text, reformat, perform_lookup):
    extracted_keywords = process_text_only(text, reformat)
    keywords_list = extracted_keywords.splitlines()

    address_results = []
    if perform_lookup:
        address_results = await get_address_lookup_results(keywords_list)

    return extracted_keywords, address_results

def gradio_interface(text, reformat, perform_lookup):
    return asyncio.run(gradio_function(text, reformat, perform_lookup))

interface = gr.Interface(
    fn=gradio_interface,
    inputs=[
        gr.Textbox(lines=20, placeholder="Paste text here, each line will be processed separately..."),
        gr.Checkbox(label="Reformat text (remove empty lines)"),
        gr.Checkbox(label="Perform Address Lookup")
    ],
    outputs=[
        gr.Textbox(label="Extracted Address Keywords"),
        gr.JSON(label="Address Lookup Results")
    ],
    title="Address Extraction and Lookup with Natural Language Processing",
    description="Extract address keywords using NLP and optionally perform address lookup using ALS."
)

interface.launch()