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541 lines
25 KiB
541 lines
25 KiB
{ |
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"cells": [ |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"import hashlib\n", |
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"\n", |
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"# Input string\n", |
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"text = \"22/05/2024\" + \"IFD YADDA YADDA\" + \"58,00\" + \"0,00\"\n", |
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"\n", |
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"# Create SHA-256 hash\n", |
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"sha256_hash = hashlib.sha256(text.encode()).hexdigest()\n", |
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"print(\"SHA-256 Hash:\", sha256_hash)\n", |
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"\n", |
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"# MD5 hash (128-bit)\n", |
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"md5_hash = hashlib.md5(text.encode()).hexdigest()\n", |
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"print(\"MD5 Hash:\", md5_hash)\n", |
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"\n", |
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"# SHA-1 hash (160-bit)\n", |
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"sha1_hash = hashlib.sha1(text.encode()).hexdigest()\n", |
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"print(\"SHA-1 Hash:\", sha1_hash)" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"test_file = 'OUROCARD_VISA_INFINITE-Ago_24.txt'" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"with open('OUROCARD_VISA_INFINITE-Ago_24.txt', 'r') as reader:\n", |
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" data = reader.read()\n", |
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" print(data)" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"import re\n", |
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"\n", |
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"# Open the text file\n", |
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"with open('OUROCARD_VISA_INFINITE-Ago_24.txt', 'r') as file_name:\n", |
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" # Read the contents of the file\n", |
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" contents = file_name.read()\n", |
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"\n", |
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"# Define the regex pattern to match\n", |
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"pattern = r'\\d{2}\\.\\d{2}\\.\\d{4}.{23}.{14}.{2}\\s*\\d+,\\d{2}\\s*\\d+,\\d{2}'\n", |
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"\n", |
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"# Iterate over the lines that match the pattern\n", |
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"for matches in re.finditer(pattern, contents):\n", |
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" print(matches.group())" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"import re\n", |
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"\n", |
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"# Open the text file\n", |
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"with open('OUROCARD_VISA_INFINITE-Ago_24.txt', 'r') as file_name:\n", |
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" # Read the contents of the file\n", |
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" contents = file_name.read()\n", |
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"\n", |
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"# Define the regex pattern to match\n", |
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"pattern = r'.*DANIEL.*|.*IZABELY.*'\n", |
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"\n", |
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"# Iterate over the lines that match the pattern\n", |
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"for matches in re.finditer(pattern, contents):\n", |
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" print(matches.group())" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"import re\n", |
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"\n", |
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"# Open the text file\n", |
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"with open('OUROCARD_VISA_INFINITE-Ago_24.txt', 'r') as file_name:\n", |
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" # Read the contents of the file\n", |
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" contents = file_name.read()\n", |
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"\n", |
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"# Define the regex patterns\n", |
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"dan_pattern = r'*DANIEL.*'\n", |
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"iza_pattern = r'.*IZABELY.*'\n", |
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"line_pattern = r'\\d{2}\\.\\d{2}\\.\\d{4}.{23}.{14}.{2}\\s*\\d+,\\d{2}\\s*\\d+,\\d{2}'\n", |
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"\n", |
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"# Iterate over the lines that match the pattern\n", |
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"for matches in re.finditer(line_pattern, contents):\n", |
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" print(matches.group())\n" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# Open the text file\n", |
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"with open('table-test.txt', 'r') as file_name:\n", |
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" # Read the contents of the file\n", |
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" contents = file_name.readlines()\n", |
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"\n", |
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"# Initialize lists to store the lines under each table\n", |
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"table_a_lines = []\n", |
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"table_b_lines = []\n", |
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"\n", |
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"# Flag to determine which table section we are in\n", |
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"current_table = None\n", |
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"\n", |
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"# Iterate over the lines in the file\n", |
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"for line in contents:\n", |
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" line = line.strip() # Remove leading and trailing whitespace\n", |
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"\n", |
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" # Check for TABLEA and TABLEB\n", |
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" if line == 'TABLEA':\n", |
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" current_table = 'TABLEA'\n", |
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" elif line == 'TABLEB':\n", |
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" current_table = 'TABLEB'\n", |
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" else:\n", |
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" # Add lines to the appropriate list based on the current table\n", |
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" if current_table == 'TABLEA':\n", |
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" table_a_lines.append(line)\n", |
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" elif current_table == 'TABLEB':\n", |
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" table_b_lines.append(line)\n", |
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"\n", |
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"# Print the results\n", |
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"print('Lines under TABLEA:')\n", |
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"for data in table_a_lines:\n", |
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" print(data)\n", |
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"\n", |
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"print('\\nLines under TABLEB:')\n", |
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"for data in table_b_lines:\n", |
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" print(data)" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"import re\n", |
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"from datetime import date, datetime\n", |
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"import locale\n", |
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"\n", |
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"locale.setlocale(locale.LC_ALL, 'pt_BR.UTF-8')\n", |
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"\n", |
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"# Open the text file\n", |
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"with open('OUROCARD_VISA_INFINITE-Ago_24.txt', 'r', encoding='latin') as file_name:\n", |
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" # Read the contents of the file\n", |
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" contents = file_name.readlines()\n", |
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"\n", |
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"# Define the regex patterns\n", |
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"dan_pattern = r'1 - DANIEL.*'\n", |
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"iza_pattern = r'4 - IZABELY.*'\n", |
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"line_pattern = r'\\d{2}\\.\\d{2}\\.\\d{4}.{23}.{14}.{2}\\s*\\d+,\\d{2}\\s*\\d+,\\d{2}'\n", |
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"line_group_pattern = r'(\\d{2})\\.(\\d{2})\\.(\\d{4})(.{23})(.{14})(.{2})(\\s*\\d+,\\d{2})(\\s*\\d+,\\d{2})'\n", |
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"\n", |
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"# Lists\n", |
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"list_dan = []\n", |
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"list_iza = []\n", |
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"current_list = None\n", |
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"\n", |
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"insert_bulk = []\n", |
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"\n", |
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"# Iterate all lines\n", |
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"for line in contents:\n", |
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" line = line.strip()\n", |
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" if re.match(dan_pattern, line):\n", |
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" current_list = 'list_dan'\n", |
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" print('found Dan')\n", |
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" elif re.match(iza_pattern, line):\n", |
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" current_list = 'list_iza'\n", |
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" print('found Iza')\n", |
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" else:\n", |
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" if re.match(line_pattern, line):\n", |
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" if current_list == 'list_dan':\n", |
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" print(\"dan\", line)\n", |
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" list_dan.append(line)\n", |
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" if current_list == 'list_iza':\n", |
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" print(\"iza\", line)\n", |
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" list_iza.append(line)\n", |
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"\n", |
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"print('list_dan - tuples for insert')\n", |
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"for item in list_dan:\n", |
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" matches = re.search(line_group_pattern, item)\n", |
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" tTdate = str(date(int(matches.group(3)), int(matches.group(2)), int(matches.group(1))))\n", |
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" tAccount = 1\n", |
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" tMemo = matches.group(4)\n", |
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" tCity = matches.group(5)\n", |
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" tCountry = matches.group(6)\n", |
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" tOutflow = matches.group(7).strip().replace(',', '.')\n", |
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" tInflow = matches.group(8).strip().replace(',', '.')\n", |
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" tOwner = 1\n", |
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" tInstallments = 1\n", |
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" tCreated = str(datetime.now(tz=None))\n", |
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" tUpdated = None\n", |
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" insert_bulk.append(( tTdate, tAccount, tMemo, tCity, tCountry, tOutflow, tInflow, tOwner, tInstallments, tCreated, tUpdated ))\n", |
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"\n", |
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"print('list_dan - tuples for insert')\n", |
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"for item in list_iza:\n", |
|
" matches = re.search(line_group_pattern, item)\n", |
|
" tTdate = str(date(int(matches.group(3)), int(matches.group(2)), int(matches.group(1))))\n", |
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" tAccount = 1\n", |
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" tMemo = matches.group(4)\n", |
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" tCity = matches.group(5)\n", |
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" tCountry = matches.group(6)\n", |
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" tOutflow = matches.group(7).strip().replace(',', '.')\n", |
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" tInflow = matches.group(8).strip().replace(',', '.')\n", |
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" tOwner = 2\n", |
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" tInstallments = 1\n", |
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" tCreated = str(datetime.now(tz=None))\n", |
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" tUpdated = None\n", |
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" insert_bulk.append(( tTdate, tAccount, tMemo, tCity, tCountry, tOutflow, tInflow, tOwner, tInstallments, tCreated, tUpdated ))\n" |
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] |
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}, |
|
{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"def logic_test(input: str = None):\n", |
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" yadda = \"yadda\"\n", |
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" return input or yadda\n", |
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"\n", |
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"logic_test()" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"dictTest = {\n", |
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" \"owner1\": {\n", |
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" \"owner_label\": \"foo\",\n", |
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" \"owner_id\": 1,\n", |
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" \"list1\": [\"thingies, thingies, 42\"],\n", |
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" },\n", |
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" \"owner2\": {\n", |
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" \"owner_label\": \"bar\",\n", |
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" \"owner_id\": 2,\n", |
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" \"list1\": [\"thingies, thingies, 42\"],\n", |
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" },\n", |
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"}\n", |
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"\n", |
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"for owner in dictTest:\n", |
|
" print(dictTest[owner][\"owner_id\"], dictTest[owner][\"owner_label\"])\n", |
|
" for item in dictTest[owner][\"list1\"]:\n", |
|
" print(item)\n", |
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"\n", |
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"dictTest[\"owner1\"][\"owner_label\"] = \"yadda\"\n", |
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"\n", |
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"for owner in dictTest:\n", |
|
" print(dictTest[owner][\"owner_id\"], dictTest[owner][\"owner_label\"])\n", |
|
" for item in dictTest[owner][\"list1\"]:\n", |
|
" print(item)" |
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] |
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}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": null, |
|
"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"param1 = \"foo\"\n", |
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"param2 = \"bar\"\n", |
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"testy = {}\n", |
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"testy[param1] = {}\n", |
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"testy[param1][param2] = [\"what\", \"when\", \"why\"]\n", |
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"testy[param1][\"number\"] = 1\n", |
|
"\n", |
|
"print(testy)" |
|
] |
|
}, |
|
{ |
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"cell_type": "code", |
|
"execution_count": null, |
|
"metadata": {}, |
|
"outputs": [], |
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"source": [ |
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"bigDict = {\n", |
|
" \"list_daniel\": {\n", |
|
" \"owner_name\": \"DANIEL\",\n", |
|
" \"owner_id\": 1,\n", |
|
" \"tlist\": [\n", |
|
" \"25.07.2024PGTO DEBITO CONTA 8611 000006025 200211 -24.420,24 0,00\",\n", |
|
" \"15.07.2024NEW EMPAR EMPREENDIMENTCORUMBA DE GO BR 10,00 0,00\",\n", |
|
" \"14.07.2024NAZO SUSHI BAR BRASILIA BR 446,22 0,00\",\n", |
|
" \"18.07.2024IFD*IFOOD.COM AGENCIA DOsasco BR 12,90 0,00\",\n", |
|
" \"19.07.2024IFD*RC MELO COMERCIO D BRASILIA BR 138,30 0,00\",\n", |
|
" \"21.07.2024GRUPO FARTURA DE HORTI BRASILIA BR 105,79 0,00\",\n", |
|
" \"20.07.2024IFD*JL COMERCIO VAREJISBRASILIA BR 134,70 0,00\",\n", |
|
" \"22.07.2024MURAKAMI BRASILIA BR 55,90 0,00\",\n", |
|
" \"22.07.2024ZP *CANTINAGOODLANCHEV Brasilia BR 8,40 0,00\",\n", |
|
" \"23.07.2024CANTINA E CIA BRASILIA BR 10,00 0,00\",\n", |
|
" \"25.07.2024CANTINA E CIA BRASILIA BR 3,50 0,00\",\n", |
|
" \"24.07.2024IFD*NFE COMERCIO DE ALIBRASILIA BR 101,89 0,00\",\n", |
|
" \"27.07.2024BENITA PANINOTECA BRASILIA BR 156,80 0,00\",\n", |
|
" \"26.07.2024IFD*BSQUARE PIZZA BURGEBRASILIA BR 123,99 0,00\",\n", |
|
" \"04.08.2024IFD*RC MELO COMERCIO DEBRASILIA BR 103,29 0,00\",\n", |
|
" \"06.08.2024CANTINA E CIA BRASILIA BR 6,00 0,00\",\n", |
|
" \"06.08.2024ZP *CANTINAGOODLANCHEV Brasilia BR 210,00 0,00\",\n", |
|
" \"07.08.2024IFD*BSQUARE PIZZA BURGEBRASILIA BR 232,99 0,00\",\n", |
|
" \"22.07.2024DROGASIL 2067 BRASILIA BR 204,99 0,00\",\n", |
|
" \"22.07.2024REDE BRASIL DRUGSTORE BRASILIA BR 26,74 0,00\",\n", |
|
" \"10.08.2024PAGUE MENOS 1225 BRASILIA BR 406,30 0,00\",\n", |
|
" \"13.07.2024PAG*EduardoMeireles AGUAS LINDAS BR 14,00 0,00\",\n", |
|
" \"13.07.2024MR JOHN BARBEARIA LTDA BRASILIA BR 60,00 0,00\",\n", |
|
" \"18.07.2024NETFLIX.COM SAO PAULO BR 44,90 0,00\",\n", |
|
" \"19.07.2024PAG*FolhaDeSPaulo SAO PAULO BR 29,90 0,00\",\n", |
|
" \"19.07.2024IFD*CR EXPRESS Osasco BR 10,00 0,00\",\n", |
|
" \"22.07.2024APPLE.COM/BILL SAO PAULO BR 97,90 0,00\",\n", |
|
" \"22.07.2024MERCADOLIVRE*MERCADOLIVOSASCO BR 444,40 0,00\",\n", |
|
" \"25.07.2024MP*5PRODUTOS OSASCO BR 308,93 0,00\",\n", |
|
" \"25.07.2024MERCADOLIVRE*SABORESDAMOSASCO BR 258,00 0,00\",\n", |
|
" \"27.07.2024MP*MELIMAIS OSASCO BR 17,99 0,00\",\n", |
|
" \"27.07.2024Wellhub Gympass BR GympSao Paulo BR 399,90 0,00\",\n", |
|
" \"26.07.2024IFD*CR EXPRESS Osasco BR 10,00 0,00\",\n", |
|
" \"28.07.2024SAMS CLUB BRASI 4929 BRASILIA BR 2.256,92 0,00\",\n", |
|
" \"29.07.2024MG LAVA JATO BRASILIA BR 100,00 0,00\",\n", |
|
" \"29.07.2024MERCADOLIVRE*GLDECOR OSASCO BR 50,75 0,00\",\n", |
|
" \"01.08.2024MR JOHN BARBEARIA LTDA BRASILIA BR 54,00 0,00\",\n", |
|
" \"04.08.2024APPLE.COM/BILL SAO PAULO BR 54,90 0,00\",\n", |
|
" \"04.08.2024IFD*SCORPIONS EXPRESS Osasco BR 10,00 0,00\",\n", |
|
" \"08.08.2024CASCOL COMBUSTIVEIS BRASILIA BR 239,37 0,00\",\n", |
|
" \"07.08.2024IFD*GRAN LOG EXPRESS Osasco BR 10,00 0,00\",\n", |
|
" \"09.08.2024SUPERAUTOR C*Supe NITEROI BR 247,86 0,00\",\n", |
|
" \"09.08.2024UBER* TRIP WWW.UBER.COM. BR 30,89 0,00\",\n", |
|
" \"09.08.2024UBER *TRIP HELP.UBER.COSAO PAULO BR 10,00 0,00\",\n", |
|
" \"09.08.2024UBER * PENDING SAO PAULO BR 27,93 0,00\",\n", |
|
" \"09.08.2024UBER *TRIP HELP.UBER.COSAO PAULO BR 5,00 0,00\",\n", |
|
" \"15.07.2024VELOE BARUERI BR 22,26 0,00\",\n", |
|
" \"19.07.2024POUSADA PIRENEUS RESOR PIRENOPOLIS BR 179,21 0,00\",\n", |
|
" \"13.07.2024DL*GOOGLE YouTub SAO PAULO BR 41,90 0,00\",\n", |
|
" \"16.07.2024STEAMGAMES.COM 42595229912-1844160 WA 24,00 0,00\",\n", |
|
" \"16.07.2024IOF - COMPRA NO EXTERIOR 0,26 0,00\",\n", |
|
" \"16.07.2024STEAM PURCHASE SEATTLE DE 127,19 0,00\",\n", |
|
" \"18.07.2024IOF - COMPRA NO EXTERIOR 1,39 0,00\",\n", |
|
" \"22.07.2024PAG*XsollaGames Sao Paulo BR 26,99 0,00\",\n", |
|
" \"11.04.2024PRODUTOS GLOB PARC 04/12 RIO DE JANEIBR 44,90 0,00\",\n", |
|
" \"15.01.2024MP*MUNDODOSCO PARC 07/10 SAO PAULO BR 159,90 0,00\",\n", |
|
" \"17.05.2024PAG*Folhadesp PARC 03/06 Sao Paulo BR 109,60 0,00\",\n", |
|
" \"17.10.2023BIANCHINI AUT PARC 10/10 BRASILIA BR 535,00 0,00\",\n", |
|
" \"27.05.2024PARC=112 BRAS PARC 03/12 BRASILIA BR 452,00 0,00\",\n", |
|
" ],\n", |
|
" },\n", |
|
" \"list_1844160\": {\"owner_name\": \"1844160\", \"owner_id\": 2},\n", |
|
" \"list_izabely\": {\n", |
|
" \"owner_name\": \"IZABELY\",\n", |
|
" \"owner_id\": 3,\n", |
|
" \"tlist\": [\n", |
|
" \"15.07.2024SALTO CORUMBA CORUMBA DE GO BR 163,85 0,00\",\n", |
|
" \"12.07.2024PG *TON MINHACANTINA BRASILIA BR 35,00 0,00\",\n", |
|
" \"12.07.2024PASTELARIA VICOSA IV BRASILIA BR 130,00 0,00\",\n", |
|
" \"12.07.2024PASTELARIA VICOSA IV BRASILIA BR 19,00 0,00\",\n", |
|
" \"13.07.2024CANTINA E CIA BRASILIA BR 4,50 0,00\",\n", |
|
" \"18.07.2024MERCADOLIVRE*3PRODUTOS OSASCO BR 362,28 0,00\",\n", |
|
" \"20.07.2024COFFEE BIKE CAFES ESPECBRASILIA BR 10,00 0,00\",\n", |
|
" \"19.07.2024IFD*ARCOS DOURADOS COMEBRASILIA BR 48,99 0,00\",\n", |
|
" \"22.07.2024RESTAURANTE FAROFINA BRASILIA BR 43,90 0,00\",\n", |
|
" \"23.07.2024PAG*DiogoLealPimenta BRASILIA BR 183,00 0,00\",\n", |
|
" \"28.07.2024TREVISO GALETERIA E P BRASILIA BR 200,20 0,00\",\n", |
|
" \"30.07.2024OLINDA COMIDA NORDESTI BRASILIA BR 66,45 0,00\",\n", |
|
" \"03.08.2024DULCE PATAGONIA BRASILIA BR 177,90 0,00\",\n", |
|
" \"03.08.2024HOT DOG CLUB BRASILIA BR 39,90 0,00\",\n", |
|
" \"04.08.2024RESTAURANTE SAO JOAO TERESINA BR 108,00 0,00\",\n", |
|
" \"04.08.2024GELATO E GRANO TERESINA BR 24,00 0,00\",\n", |
|
" \"05.08.2024F L L MELO LTDA SAO PAULO BR 63,00 0,00\",\n", |
|
" \"10.08.2024CREMERIA ITALIANA BRASILIA BR 49,00 0,00\",\n", |
|
" \"14.07.2024RITUARIA*Rituaria SAO PAULO BR 448,20 0,00\",\n", |
|
" \"24.07.2024BIOEXATA FARMACIA BRASILIA BR 73,70 0,00\",\n", |
|
" \"12.07.2024CASCOL COMBUSTIVEIS BRASILIA BR 297,86 0,00\",\n", |
|
" \"12.07.2024LIMBER SOFTWARE E CONS SAO LUIZ DO P BR 54,00 0,00\",\n", |
|
" \"13.07.2024PAG*EduardoMeireles AGUAS LINDAS BR 22,00 0,00\",\n", |
|
" \"13.07.2024PAG*EduardoMeireles AGUAS LINDAS BR 36,00 0,00\",\n", |
|
" \"13.07.2024PAG*CidaRommanel BRASILIA BR 30,00 0,00\",\n", |
|
" \"13.07.2024ALLPARK EMPREENDIMENTOSGoiania BR 6,00 0,00\",\n", |
|
" \"14.07.2024MERCADOLIVRE*CHINALINK OSASCO BR 445,89 0,00\",\n", |
|
" \"18.07.2024PG *S S MENDES COMERCI MOGI DAS CRUZ BR 150,12 0,00\",\n", |
|
" \"19.07.2024MERCADOLIVRE*3PRODUTOS OSASCO BR 276,52 0,00\",\n", |
|
" \"03.08.2024WOW*SALE COMERCIO E SE Brasilia BR 165,00 0,00\",\n", |
|
" \"07.08.2024PARENTELA PANIFICADORA BRASILIA BR 64,90 0,00\",\n", |
|
" \"08.08.2024FranciscoDeAssis BRASILIA BR 36,00 0,00\",\n", |
|
" \"09.08.2024BONNAPAN SEU DIA MAIS BRASILIA BR 23,08 0,00\",\n", |
|
" \"10.08.2024MP*BRILHODASARTE OSASCO BR 300,00 0,00\",\n", |
|
" \"11.07.2024CARREFOUR PL2 338 BRASILIA BR 83,17 0,00\",\n", |
|
" \"15.07.2024UBER * PENDING SAO PAULO BR 19,90 0,00\",\n", |
|
" \"22.07.2024UBER * PENDING SAO PAULO BR 8,98 0,00\",\n", |
|
" \"23.07.2024UBER* TRIP WWW.UBER.COM. BR 8,90 0,00\",\n", |
|
" \"24.07.2024UBER* TRIP WWW.UBER.COM. BR 8,98 0,00\",\n", |
|
" \"29.07.2024UBER * PENDING SAO PAULO BR 8,94 0,00\",\n", |
|
" \"30.07.2024UBER* TRIP WWW.UBER.COM. BR 8,94 0,00\",\n", |
|
" \"31.07.2024UBER* TRIP WWW.UBER.COM. BR 8,96 0,00\",\n", |
|
" \"06.08.2024UBER* TRIP WWW.UBER.COM. BR 8,99 0,00\",\n", |
|
" \"10.08.2024UBER* TRIP WWW.UBER.COM. BR 20,00 0,00\",\n", |
|
" \"10.08.2024UBER* TRIP WWW.UBER.COM. BR 9,42 0,00\",\n", |
|
" \"10.08.2024UBER * PENDING SAO PAULO BR 13,97 0,00\",\n", |
|
" \"12.07.2024CIDA REIS MODA FITNESS BRASILIA BR 300,00 0,00\",\n", |
|
" \"15.07.2024LANCHONETE SERRA RODO COCALZINHO DE BR 43,00 0,00\",\n", |
|
" \"16.07.2024POUSADA PIRENEUS RESOR PIRENOPOLIS BR 1.704,00 0,00\",\n", |
|
" \"19.07.2024POUSADA PIRENEUS RESOR PIRENOPOLIS BR 1.105,63 0,00\",\n", |
|
" \"09.08.2024HOTEL GOYA P*hote RIO DE JANEIR BR 424,20 0,00\",\n", |
|
" \"12.04.2024LISTO*CLINICA PARC 04/04 BRASILIA BR 2.000,00 0,00\",\n", |
|
" \"17.01.2024BRASILIA EMPR PARC 07/12 BRASILIA BR 599,00 0,00\",\n", |
|
" \"07.01.2024PG *B4A GLAMB PARC 08/12 SAO PAULO BR 74,90 0,00\",\n", |
|
" ],\n", |
|
" },\n", |
|
"}\n", |
|
"\n", |
|
"\n", |
|
"for key in bigDict:\n", |
|
" for item in bigDict[key][\"tlist\"]:\n", |
|
" print(item)" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": null, |
|
"metadata": {}, |
|
"outputs": [], |
|
"source": [ |
|
"import re\n", |
|
"\n", |
|
"file_list = [\"OUROCARD_VISA_INFINITE-Ago_24.txt\", \"OUROCARD_VISA_INFINITE-Jul_24.txt\", \"OUROCARD_VISA_INFINITE-Próxima_Fatura.txt\", \"OUROCARD_VISA_INFINITE-Próxima_Fatura(1).txt\"]\n", |
|
"partial_invoice_pattern = r\"L A N Ç A M E N T O S F U T U R O S\"\n", |
|
"\n", |
|
"partial = False\n", |
|
"for file_name in file_list:\n", |
|
" with open(file_name, \"r\", encoding=\"latin\") as file:\n", |
|
" contents = file.readlines()\n", |
|
" for line in contents:\n", |
|
" if re.findall(partial_invoice_pattern, line):\n", |
|
" partial = True\n", |
|
"\n", |
|
" if partial:\n", |
|
" print(f\"file {file.name} is partial\")\n", |
|
" else:\n", |
|
" print(f\"file {file.name} is full\")\n", |
|
"\n" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": null, |
|
"metadata": {}, |
|
"outputs": [], |
|
"source": [ |
|
"import datetime\n", |
|
"datetime.datetime.now().year" |
|
] |
|
}, |
|
{ |
|
"cell_type": "code", |
|
"execution_count": 1, |
|
"metadata": {}, |
|
"outputs": [ |
|
{ |
|
"name": "stdout", |
|
"output_type": "stream", |
|
"text": [ |
|
"CONNECTED! <mysql.connector.connection_cext.CMySQLConnection object at 0x777a6d5851f0>\n", |
|
"full result => [(1, 'Daniel', datetime.datetime(2024, 9, 10, 15, 58, 47), None), (2, 'Izabely', datetime.datetime(2024, 9, 10, 15, 59, 51), None)]\n", |
|
"Daniel\n", |
|
"DONE!\n" |
|
] |
|
} |
|
], |
|
"source": [ |
|
"from mysql.connector import connect, Error\n", |
|
"\n", |
|
"query = \"SELECT * FROM OWNER\"\n", |
|
"\n", |
|
"try:\n", |
|
" with connect(\n", |
|
" host=\"localhost\",\n", |
|
" user=\"root\",\n", |
|
" password=\"pleasehashapasswordomg\",\n", |
|
" database=\"default\",\n", |
|
" ) as connection:\n", |
|
" print(\"CONNECTED!\", connection)\n", |
|
" with connection.cursor() as cursor:\n", |
|
" cursor.execute(query)\n", |
|
" result = cursor.fetchall()\n", |
|
" if result:\n", |
|
" print(\"full result =>\", result)\n", |
|
" print(result[0][1])\n", |
|
" else:\n", |
|
" print(\"No data found\")\n", |
|
" print(\"DONE!\")\n", |
|
"except Error as e:\n", |
|
" print(e)\n", |
|
"finally:\n", |
|
" connection.close()" |
|
] |
|
} |
|
], |
|
"metadata": { |
|
"kernelspec": { |
|
"display_name": "Python 3", |
|
"language": "python", |
|
"name": "python3" |
|
}, |
|
"language_info": { |
|
"codemirror_mode": { |
|
"name": "ipython", |
|
"version": 3 |
|
}, |
|
"file_extension": ".py", |
|
"mimetype": "text/x-python", |
|
"name": "python", |
|
"nbconvert_exporter": "python", |
|
"pygments_lexer": "ipython3", |
|
"version": "3.12.3" |
|
} |
|
}, |
|
"nbformat": 4, |
|
"nbformat_minor": 2 |
|
}
|
|
|