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Mitul Mohammad Abdullah Al Mukit commited on Jul 5, 2023

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e029c8d

1 Parent(s): c57f247

updates

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Files changed (41) hide show

.gitignore +3 -1
__pycache__/Visualization_utilities.cpython-311.pyc +0 -0
__pycache__/Visualization_utilities.cpython-39.pyc +0 -0
__pycache__/checkTool.cpython-311.pyc +0 -0
__pycache__/checkTool.cpython-39.pyc +0 -0
__pycache__/check_hkid_validity.cpython-311.pyc +0 -0
__pycache__/check_hkid_validity.cpython-39.pyc +0 -0
__pycache__/data_encryption.cpython-311.pyc +0 -0
__pycache__/data_encryption.cpython-39.pyc +0 -0
__pycache__/demo.cpython-311.pyc +0 -0
__pycache__/demo.cpython-39.pyc +0 -0
__pycache__/extract_pdf.cpython-311.pyc +0 -0
__pycache__/extract_pdf.cpython-39.pyc +0 -0
__pycache__/extraction_data.cpython-311.pyc +0 -0
__pycache__/extraction_data.cpython-39.pyc +0 -0
__pycache__/get_chinese_name.cpython-311.pyc +0 -0
__pycache__/get_chinese_name.cpython-39.pyc +0 -0
__pycache__/imageSegmentation.cpython-311.pyc +0 -0
__pycache__/imageSegmentation.cpython-39.pyc +0 -0
__pycache__/model1.cpython-311.pyc +0 -0
__pycache__/model1.cpython-39.pyc +0 -0
__pycache__/model2.cpython-311.pyc +0 -0
__pycache__/model2.cpython-39.pyc +0 -0
__pycache__/search_engine.cpython-311.pyc +0 -0
__pycache__/search_engine.cpython-39.pyc +0 -0
__pycache__/similarity_check.cpython-311.pyc +0 -0
__pycache__/similarity_check.cpython-39.pyc +0 -0
extraction_data.py +1 -1
get_chinese_code.py +61 -0
get_chinese_name.py +40 -0
hkTelecode.csv +9042 -0
imageSegmentation.py +1 -1
model0.py +1 -1
request_json/__pycache__/sbt_request_generator.cpython-311.pyc +0 -0
request_json/__pycache__/sbt_request_generator.cpython-39.pyc +0 -0
request_json/sbt_request_generator.py +27 -5
requirements.txt +0 -0
search_engine.py +152 -0
similarity_check.py +8 -5
test.py +2 -2
webapp.py +11 -90

.gitignore CHANGED Viewed

@@ -4,6 +4,8 @@ saved/HKID.jpg
 bank_statement/*
 bank_statement
 data1.txt
 .env
 test.py
-dontTouchMe

 bank_statement/*
 bank_statement
 data1.txt
+sbt_request.txt
 .env
 test.py
+dontTouchMe
+search_result.csv

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__pycache__/get_chinese_name.cpython-311.pyc ADDED Viewed

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extraction_data.py CHANGED Viewed

@@ -48,7 +48,7 @@ def get_info_from_bank(img_path):
     out = ocr.ocr(img_path)
     load_dotenv()
-    openai.api_key = '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'
     invalid_list = [' ',',']
     data_set_1 = []

     out = ocr.ocr(img_path)
     load_dotenv()
+    openai.api_key = os.environ.get("data-extraction-api")
     invalid_list = [' ',',']
     data_set_1 = []

get_chinese_code.py ADDED Viewed

	@@ -0,0 +1,61 @@

+from cnocr import CnOcr
+import pandas as pd
+def check_telecode(input_string):
+    if len(input_string) == 12:
+        try:
+            int(input_string)
+            return True
+        except ValueError:
+            return False
+    if len(input_string) == 8:
+        try:
+            int(input_string)
+            return True
+        except ValueError:
+            return False
+    return False
+def extract_integers(input_string):
+    if len(input_string) == 12:
+        w1 = input_string[:4]
+        w2 = input_string[4:8]
+        w3 = input_string[8:]
+        return w1, w2, w3
+    elif len(input_string) == 8:
+        w1 = input_string[:4]
+        w2 = input_string[4:]
+        return w1, w2
+    else:
+        return None, None, None
+def get_chinese_name(path):
+    ocr = CnOcr(rec_model_name='en_PP-OCRv3')
+    # ocr = CnOcr(rec_model_name='densenet_lite_136-fc')
+    out = ocr.ocr(path)
+    df = pd.read_csv('hkTelecode.csv', dtype={'code': str}, index_col=False)
+    chinese_name = []
+    for data in out:
+        text = data['text']
+        text = text.replace(' ', '')
+        if check_telecode(text):
+            w1, w2, w3 = extract_integers(text)
+            print(w1)
+            print(w2)
+            print(w3)
+            chinese_name.append(df['word'][df['code'] == str(w1)].iloc[0])
+            chinese_name.append(df['word'][df['code'] == str(w2)].iloc[0])
+            if w3 is not None:
+                chinese_name.append(df['word'][df['code'] == str(w3)].iloc[0])
+            return chinese_name
+        chinese_name = []
+    return []
+print(get_chinese_name('dontTouchMe/IMG_4495.jpg'))

get_chinese_name.py ADDED Viewed

	@@ -0,0 +1,40 @@

+from cnocr import CnOcr
+import openai
+from dotenv import load_dotenv
+import os
+import json
+def get_chiname(path):
+    ocr = CnOcr(rec_model_name='chinese_cht_PP-OCRv3')
+    out = ocr.ocr(path)
+    print(out)
+    load_dotenv()
+    openai.api_key = os.environ.get("data-extraction-api")
+    invalid_list = [' ',',']
+    data_set_1 = []
+    for item in out:
+        if item['text'] not in invalid_list:
+            data_set_1.append(item['text'])
+    completion = openai.ChatCompletion.create(
+        model = "gpt-3.5-turbo",
+        temperature = 0,
+        messages = [
+            {"role": "system", "content": "You are an AI assistant for extracting Chinese name from HKID card."},
+            {"role": "user", "content": f"Extract data from the following set of text: {data_set_1}. \
+                You only need to return a dictonary with Chinese name in Chinese. Use double quote!"},
+        ]
+    )
+    data = completion['choices'][0]['message']['content']
+    # print(data)
+    id_data = json.loads(data)
+    # print(id_data)
+    return id_data
+    # return [name, valid_hkid, hkid, issuedate]

hkTelecode.csv ADDED Viewed

	@@ -0,0 +1,9042 @@

+word,code
+一,0001
+丁,0002
+七,0003
+丈,0004
+三,0005
+上,0006
+下,0007
+丌,8002
+不,0008
+丐,0009
+丑,0010
+且,0011
+丕,0012
+世,0013
+丘,8003
+丙,0014
+丞,0015
+丟,0016
+並,0017
+丨,0019
+个,0020
+丫,0021
+中,0022
+丰,0023
+丱,0024
+串,0025
+丳,8011
+丶,0027
+丸,0029
+丹,0030
+主,0031
+丿,0033
+乂,0034
+乃,0035
+久,0036
+么,8026
+之,0037
+乍,0038
+乎,0039
+乏,0040
+乒,9692
+乓,9693
+乖,0041
+乘,0042
+乙,0044
+乜,0045
+九,0046
+乞,0047
+也,0048
+乩,0049
+乳,0050
+乾,0051
+亂,0052
+亄,8031
+亅,0054
+了,0055
+予,0056
+事,0057
+二,0059
+亍,8041
+于,0060
+云,0061
+互,0062
+亓,8042
+五,0063
+井,0064
+亘,8043
+亙,0065
+些,0067
+亝,8044
+亞,0068
+亟,0069
+亠,0071
+亡,0072
+亢,0073
+交,0074
+亥,0075
+亦,0076
+亨,0077
+享,0078
+京,0079
+亭,0080
+亮,0081
+亳,0082
+亶,0083
+亹,0084
+人,0086
+什,0087
+仁,0088
+仂,0096
+仃,0089
+仄,0090
+仆,0091
+仇,0092
+仈,8051
+仉,0097
+今,0093
+介,0094
+仍,0095
+仔,0098
+仕,0099
+他,0100
+仗,0101
+付,0102
+仙,0103
+仝,0104
+仞,0105
+仟,0107
+仡,0106
+代,0108
+令,0109
+以,0110
+仨,0000
+仰,0111
+仲,0112
+仳,0113
+仵,0114
+件,0115
+价,0116
+任,0117
+份,0118
+仿,0119
+伀,8053
+企,0120
+伃,8054
+伈,8055
+伉,0121
+伊,0122
+伋,0123
+伍,0124
+伎,0125
+伏,0126
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+伙,0129
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+佃,0140
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imageSegmentation.py CHANGED Viewed

@@ -43,7 +43,7 @@ def auto_cropping(dir):
   print(files)
   for file in files:
-      if file == "DONT_DELETE.txt":
         continue
       file_dir = Path(dir + "/" + file)
       abs_path = file_dir.resolve()

   print(files)
   for file in files:
+      if file != "hkid.jpg":
         continue
       file_dir = Path(dir + "/" + file)
       abs_path = file_dir.resolve()

model0.py CHANGED Viewed

@@ -11,7 +11,7 @@ def model0(path):
     print(out)
     load_dotenv()
-    openai.api_key = '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'
     invalid_list = [' ',',']
     data_set_1 = []

     print(out)
     load_dotenv()
+    openai.api_key = os.environ.get("data-extraction-api")
     invalid_list = [' ',',']
     data_set_1 = []

request_json/__pycache__/sbt_request_generator.cpython-311.pyc CHANGED Viewed

Binary files a/request_json/__pycache__/sbt_request_generator.cpython-311.pyc and b/request_json/__pycache__/sbt_request_generator.cpython-311.pyc differ

request_json/__pycache__/sbt_request_generator.cpython-39.pyc CHANGED Viewed

Binary files a/request_json/__pycache__/sbt_request_generator.cpython-39.pyc and b/request_json/__pycache__/sbt_request_generator.cpython-39.pyc differ

request_json/sbt_request_generator.py CHANGED Viewed

@@ -54,10 +54,10 @@ def split_data(data):
     # request_id = "request1234"
     # token_id = "12344321"
-    f = open('data1.txt', 'r')
-    with open('data1.txt') as f:
-        data_raw = f.read()
-        data = json.loads(data_raw)
     if "avg_score" not in data.keys():
         data["avg_score"] = "0"
@@ -68,6 +68,7 @@ def split_data(data):
         "endpoint": "SBT",
         "apiType": "store_img_verif",
         "requestId": "request_id_1234",
         "date": get_today_date(), # a string
         "docType": "HKID",
         "nameDoc": data["name_on_id"], # a string; lower case with space separate; e.g. san chi nan
@@ -81,6 +82,27 @@ def split_data(data):
         "asset": str(data["totalAsset"]), # a string containing only numbers
         "liability": str(data["totalLiability"]), # a string containing only numbers
         "statementDate": str(data["statementDate"]), # a string
     }
-    generate_request(sbt_data)

     # request_id = "request1234"
     # token_id = "12344321"
+    # f = open('data1.txt', 'r')
+    # with open('data1.txt') as f:
+    #     data_raw = f.read()
+    #     data = json.loads(data_raw)
     if "avg_score" not in data.keys():
         data["avg_score"] = "0"
         "endpoint": "SBT",
         "apiType": "store_img_verif",
         "requestId": "request_id_1234",
+	    "userId": "1001001", # a string
         "date": get_today_date(), # a string
         "docType": "HKID",
         "nameDoc": data["name_on_id"], # a string; lower case with space separate; e.g. san chi nan
         "asset": str(data["totalAsset"]), # a string containing only numbers
         "liability": str(data["totalLiability"]), # a string containing only numbers
         "statementDate": str(data["statementDate"]), # a string
+        "chineseName": data["chi_name_id"] # a string
     }
+    generate_request(sbt_data)
+# sbt_data = {
+#     "endpoint": "SBT",
+#     "apiType": "store_img_verif",
+#     "requestId": "request_id_1234",
+#     "date": get_today_date(), # a string
+#     "docType": "HKID",
+#     "nameDoc": "Lau", # a string; lower case with space separate; e.g. san chi nan
+#     "docID": "A1234456", # a string; with bracket (); e.g. G908833(1)
+#     "docValidity": "01012023", # a string; "True" or "False"
+#     "dateOfIssue": "01012000", # a string; month-year; e.g. 07-81
+#     "matchingScore": "0.87", # a string; e.g. "0.957"
+#     "bank":"hsbc", #
+#     "nameStatement":"lau", #
+#     "address":"33A TML Tower Tsuen Wan", #
+#     "asset": "0", # a string containing only numbers
+#     "liability": "0", # a string containing only numbers
+#     "statementDate": "01062023", # a string
+# }

requirements.txt CHANGED Viewed

Binary files a/requirements.txt and b/requirements.txt differ

search_engine.py ADDED Viewed

	@@ -0,0 +1,152 @@

+import base64
+import os
+import rsa
+from datetime import date
+import secrets
+import string
+import requests
+import json
+from dotenv import load_dotenv
+from selenium import webdriver
+from selenium.webdriver.common.keys import Keys
+from selenium.webdriver.common.by import By
+import time
+from bs4 import BeautifulSoup
+import csv
+def generate_token_id(length):
+    characters = string.ascii_letters + string.digits # + string.punctuation
+    token = ''.join(secrets.choice(characters) for _ in range(length))
+    return token
+# Examples for what will be generated
+# 5!bA9H2f1q^...
+# Xe7uM$4d9@...
+# &3yTb1*8Z#...
+# %pWqN7!6zX...
+# @9oV!s6Rd2...
+def get_today_date():
+    today = date.today()
+    return str(today)
+# Example for what will be returned
+# 2023-06-29
+def get_request(get_url, params):
+    # get_url = 'http://ipygg-api-test-env.ap-east-1.elasticbeanstalk.com/SBT'
+    pubkey_path = os.path.join(os.path.dirname(__file__), '..', 'pubkey.pem')
+    with open(pubkey_path, 'rb') as f:
+        pubKey = rsa.PublicKey.load_pkcs1(f.read())
+    for key, value in params.items():
+        value_bytes = value.encode("utf-8")
+        encrypted_value = rsa.encrypt(value_bytes, pubKey)
+        encoded_value = base64.b64encode(encrypted_value)
+        params[key] = encoded_value
+    # Write the encrypted and encoded values to a file
+    with open("sbt_request.txt", "w") as f:
+        for key, value in params.items():
+            f.write(f"{key}: {value}\n\n")
+    # posting Json file to api
+    r = requests.get(get_url, params=params)# extracting data in json format
+    data = r.json()
+    print(f'get request: {data}')
+def post_request(post_url, data):
+    # post_url = 'http://ipygg-api-test-env.ap-east-1.elasticbeanstalk.com/SBT'
+    pubkey_path = os.path.join(os.path.dirname(__file__), '..', 'pubkey.pem')
+    with open(pubkey_path, 'rb') as f:
+        pubKey = rsa.PublicKey.load_pkcs1(f.read())
+    for key, value in data.items():
+        value_bytes = value.encode("utf-8")
+        encrypted_value = rsa.encrypt(value_bytes, pubKey)
+        encoded_value = base64.b64encode(encrypted_value)
+        data[key] = encoded_value
+    # Write the encrypted and encoded values to a file
+    with open("sbt_request.txt", "w") as f:
+        for key, value in data.items():
+            f.write(f"{key}: {value}\n\n")
+    # posting Json file to api
+    r = requests.post(post_url, data=data)
+    print(f'post request: {r.json}')
+def search_on_engine(search_data):
+    # clearing csv file data
+    csv_filename = "search_result.csv"
+    f = open(csv_filename, "w+") # opening the file with w+ mode truncates the file
+    # writer.writeheader()
+    f.close()
+    # set up driver
+    driver = webdriver.Chrome()
+    load_dotenv()
+    search_url = os.environ.get("search-engine-url")
+    driver.get(search_url)
+    # assert "Python" in driver.title
+    for search_tag_key in search_data:
+        search_tag = search_data[search_tag_key]
+        # Searching search tag in query
+        elem = driver.find_element(By.NAME, "query")
+        elem.clear()
+        elem.send_keys(search_tag)
+        submit_elem = driver.find_element(By.ID, "submit")
+        submit_elem.click()
+        time.sleep(8) # delay for 10 seconds: 2 seconds for Yahoo! search, 6 seconds for Google search
+        assert "No results found." not in driver.page_source
+        # extract link from page
+        html = driver.page_source # search url remains the same after searching
+        # time.sleep(10) # delay for 10 seconds: 2 seconds for Yahoo! search, 6 seconds for Google search
+        soup = BeautifulSoup(html, 'html.parser')
+        result_links = []
+        for link in soup.find_all('a'):
+            result_links.append(link.get('href'))
+            # print(link.get('href'))
+        # store in csv
+        result_dict = {
+            "tag": search_tag,
+            "results": result_links
+        }
+        with open(csv_filename, 'a', encoding='UTF8', newline='') as f:
+            # writer = csv.writer(f)
+            writer = csv.DictWriter(f, fieldnames=["tag","results"])
+            writer.writerow(result_dict)
+    # save the link to db
+    # post_request("post_url", result_link)
+def get_data_link(chinese_name, english_name, address):
+    # get phone number from db
+    # phone_no = get_request(get_url, english_name)
+    phone_no = '12345678'
+    # create data set
+    search_data = {
+        "chi_name": chinese_name,
+        "eng_name": english_name,
+        "address": address,
+        "phone_number": phone_no
+    }
+    # pass data to search engine
+    result_link = search_on_engine(search_data)
+    # show the link
+    # return result_link
+# get_data_link('劉柏政','Lau, Pak Ching','FLT 1939 18/F KM WAN HSE, CHOIHUNG EST 1 HUNG MUI AVENUE, NGAU CHI WAN KLN')
+# search_on_engine('Lau, Pak Ching')

similarity_check.py CHANGED Viewed

@@ -3,6 +3,8 @@ from model2 import model2
 import checkTool as ct
 import extract_pdf as pf
 import extraction_data as ed
 # get info from hkid card
@@ -86,10 +88,11 @@ def get_data(img1_path, img2_path):
     data["hkid"] = cinfo[2]
     data["validity"] = cinfo[1]
     data["issue_date"] = cinfo[3]
     return data
-# path1 = 'IMG_4495.jpg'
-# path2 = 'hangseng_page-0001.jpg'
-# print(get_score(path1, path2))

 import checkTool as ct
 import extract_pdf as pf
 import extraction_data as ed
+import get_chinese_name as cn
+import search_engine as se
 # get info from hkid card
     data["hkid"] = cinfo[2]
     data["validity"] = cinfo[1]
     data["issue_date"] = cinfo[3]
+    # Search Engine
+    # chi_name = cn.get_chiname(img1_path)["Chinese Name"]
+    chi_name = "allen lau"
+    data["chi_name_id"] = chi_name
     return data

test.py CHANGED Viewed

@@ -1,4 +1,4 @@
 import streamlit
-import mediapipe
-print(mediapipe.__version__)

 import streamlit
+import cnocr
+print(cnocr.__version__)

webapp.py CHANGED Viewed

@@ -14,6 +14,7 @@ import request_json.sbt_request_generator as sbt
 import pathlib
 import os
 import check_hkid_validity as chv
 def main():
@@ -77,44 +78,31 @@ def main():
         with st.spinner('Wait for it...'):
             # global data
             data = sc.get_data(image1, image2)
-            # data = ed.get_info_from_bank('hsbc_one_account.pdf')
-            # with open('data1.txt', 'w') as f:
-            #     f.write(json.dumps(data))
-            # data.update(sc.get_data(image1, image2, file_name))
-            # print(f'data inside {data}')
-            # sbt.split_data(data)
         if 'data' in st.session_state:
             st.session_state['data'] = data
         st.success('Done!')
-        # if "similarity_score" not in data.keys():
-        #     data["similarity_score"] = "0"
         score = int(st.session_state['data']['similarity_score'])
-        # score = int(data["similarity_score"])
-        #print(score)
         st.text(f'score: {score}')
         if (score>85):
             st.text(f'matched')
         else:
             st.text(f'unmatched')
         data = st.session_state['data']
         st.header("IIa. HKID Data Extraction")
-        st.text(f'Name: {data["name_on_id"]}') # name is without space
         st.text(f'HKID: {data["hkid"]} and validity: {data["validity"]}')
         st.text(f'Date of issue: {data["issue_date"]}')
         st.header("IIb. Bank Statement Data Extraction")
-        # st.write('------------From bank statement------------')
         st.text(f'Name: {data["nameStatement"]}')
         st.text(f'Address: {data["address"]}')
         st.text(f'Bank: {data["bank"]}')
         st.text(f'Date: {data["statementDate"]}')
         st.text(f'Asset: {data["totalAsset"]} hkd')
         st.text(f'Liabilities: {data["totalLiability"]} hkd')
-        # result_img= detect_faces(our_image)
-        # st.image(result_img)
-    # print(f'data outside 1 {data}')
     if 'data' in st.session_state:
         tempout = st.session_state['data']
@@ -142,6 +130,8 @@ def main():
     FRAME_WINDOW = st.image([])
     camera = cv2.VideoCapture(0)
     while run:
         # Capture frame-by-frame
@@ -160,87 +150,18 @@ def main():
             camera.release()
             run = not run
             st.session_state['data']['avg_score'] = str(avg_score)
-            # with open('data1.txt', 'r') as f:
-            #     if f is not None:
-            #         data_raw = f.read()
-            #         data = json.loads(data_raw)
-            #         data['avg_score'] = str(avg_score)
-            #     else:
-            #         data = {}
-            # with open('data1.txt', 'w') as f:
-            #         f.write(json.dumps(data))
-        # update_text(f'{demo.convert_distance_to_percentage(score, 0.45)}')
     else:
         st.write('Stopped')
-    # print(f'the data is {data}')
-    # st.header("IIIa. HKID Data Extraction")
-    # st.text(f'Name: {data["name_on_id"]}') # name is without space
-    # st.text(f'HKID: {data["hkid"]} and validity: {data["validity"]}')
-    # st.text(f'Date of issue: {data["issue_date"]}')
-    # st.header("IIIb. Bank Statement Data Extraction")
-    # # st.write('------------From bank statement------------')
-    # st.text(f'Name: {data["nameStatement"]}')
-    # st.text(f'Address: {data["address"]}')
-    # st.text(f'Bank: {data["bank"]}')
-    # st.text(f'Date: {data["date"]}')
-    # st.text(f'Asset: {data["asset"]} hkd')
-    # st.text(f'Liabilities: {data["liabilities"]} hkd')
-    # print(f'data outside 2 {data}')
     if st.button("Confirm"):
-        # print(f'data outside 3 {data}')
         with st.spinner('Sending data...'):
             sbt.split_data(st.session_state['data'])
         st.success('Done!')
 if __name__ == '__main__':
     main()
-    # def save_image(image):
-#     try:
-#         temp_file = tempfile.NamedTemporaryFile(delete=False, suffix='.jpg')
-#         Image.save(temp_file.name)
-#         return temp_file.name
-#     except IOError:
-#         print("Unable to save image to temporary file")
-#         return None
-    # json_file = 'request json\request_legalDocument.json'
-    # file = open(json_file, 'r')
-    # data = json.load(file)
-    # file.close()
-    # # Update data
-    # data.update(new_data)
-    # file = open(json_file, 'w')
-    # for item in data['request']['body']['formdata']:
-    #     if item["key"] == "requestId":
-    #         item["value"] = ""
-    #     elif item["key"] == "userId":
-    #         item["value"] = generate_token_id(2048)
-    #     elif item["key"] == "endpoint":
-    #         item["value"] = ""
-    #     elif item["key"] == "apiType":
-    #         item["value"] = ""
-    #     elif item["key"] == "docType":
-    #         item["value"] = "HKID"
-    #     elif item["key"] == "nameDoc":
-    #         item["value"] = new_data["name_on_id"]
-    #     elif item["key"] == "docID":
-    #         item["value"] = new_data["name_on_id"]
-    #     elif item["key"] == "docValidity":
-    #         item["value"] = new_data["validity"]
-    #     elif item["key"] == "dateOfIssue":
-    #         item["value"] = new_data["date_issue"]
-    #     elif item["key"] == "matchingScore":
-    #         item["value"] = new_data["similarity_score"]
-    # json.dump(data, file)
-    # file.close()

 import pathlib
 import os
 import check_hkid_validity as chv
+import search_engine as se
 def main():
         with st.spinner('Wait for it...'):
             # global data
             data = sc.get_data(image1, image2)
+            # se.get_data_link(data['chi_name_id'], data["name_on_id"], data["address"])
         if 'data' in st.session_state:
             st.session_state['data'] = data
         st.success('Done!')
         score = int(st.session_state['data']['similarity_score'])
         st.text(f'score: {score}')
         if (score>85):
             st.text(f'matched')
         else:
             st.text(f'unmatched')
         data = st.session_state['data']
         st.header("IIa. HKID Data Extraction")
+        st.text(f'English Name: {data["name_on_id"]}') # name is without space
+        st.text(f'Chinese Name: {data["chi_name_id"]}') # name is without space
         st.text(f'HKID: {data["hkid"]} and validity: {data["validity"]}')
         st.text(f'Date of issue: {data["issue_date"]}')
         st.header("IIb. Bank Statement Data Extraction")
         st.text(f'Name: {data["nameStatement"]}')
         st.text(f'Address: {data["address"]}')
         st.text(f'Bank: {data["bank"]}')
         st.text(f'Date: {data["statementDate"]}')
         st.text(f'Asset: {data["totalAsset"]} hkd')
         st.text(f'Liabilities: {data["totalLiability"]} hkd')
     if 'data' in st.session_state:
         tempout = st.session_state['data']
     FRAME_WINDOW = st.image([])
     camera = cv2.VideoCapture(0)
     while run:
         # Capture frame-by-frame
             camera.release()
             run = not run
             st.session_state['data']['avg_score'] = str(avg_score)
     else:
         st.write('Stopped')
     if st.button("Confirm"):
+        st.experimental_set_query_params(
+            verified=True,
+        )
         with st.spinner('Sending data...'):
+            print(st.session_state['data'])
             sbt.split_data(st.session_state['data'])
         st.success('Done!')
 if __name__ == '__main__':
     main()