├── .gitignore ├── .python-version ├── LICENSE ├── README.md ├── data ├── chat_parsed │ └── .gitkeep ├── chat_raw │ ├── telegram │ │ ├── .gitkeep │ │ └── exported_structure.json │ └── whatsapp │ │ └── .gitkeep ├── resources │ ├── Telegram_stopwords.txt │ └── WhatsApp_stopwords.txt └── word_cloud │ └── .gitkeep ├── requirements.txt └── src ├── __init__.py ├── joiner.py ├── telegram_parser.py ├── utils ├── __init__.py ├── utils.py └── word_cloud.py └── whatsapp_parser.py /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | *.py,cover 51 | .hypothesis/ 52 | .pytest_cache/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | target/ 76 | 77 | # Jupyter Notebook 78 | .ipynb_checkpoints 79 | 80 | # IPython 81 | profile_default/ 82 | ipython_config.py 83 | 84 | # pyenv 85 | # .python-version 86 | 87 | # pipenv 88 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 89 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 90 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 91 | # install all needed dependencies. 92 | #Pipfile.lock 93 | 94 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 95 | __pypackages__/ 96 | 97 | # Celery stuff 98 | celerybeat-schedule 99 | celerybeat.pid 100 | 101 | # SageMath parsed files 102 | *.sage.py 103 | 104 | # Environments 105 | .env 106 | .venv 107 | env/ 108 | venv/ 109 | ENV/ 110 | env.bak/ 111 | venv.bak/ 112 | 113 | # Spyder project settings 114 | .spyderproject 115 | .spyproject 116 | 117 | # Rope project settings 118 | .ropeproject 119 | 120 | # mkdocs documentation 121 | /site 122 | 123 | # mypy 124 | .mypy_cache/ 125 | .dmypy.json 126 | dmypy.json 127 | 128 | # Pyre type checker 129 | .pyre/ 130 | .idea 131 | 132 | data/chat_raw/whatsapp/* 133 | !data/chat_raw/whatsapp/.gitkeep 134 | data/chat_raw/telegram/* 135 | !data/chat_raw/telegram/.gitkeep 136 | !/data/chat_raw/telegram/exported_structure.json 137 | 138 | data/chat_parsed/* 139 | !data/chat_parsed/.gitkeep 140 | 141 | !*/.gitkeep 142 | data/chat_parsed/*.txt 143 | data/word_cloud/*.png 144 | tmp 145 | -------------------------------------------------------------------------------- /.python-version: -------------------------------------------------------------------------------- 1 | 3.8.0 2 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | 📲 Messaging parser 2 | ================================================================================ 3 | 4 | *Use what you had written* 5 | 6 | ## What is this repo? 7 | This repository provides python scripts to parse WhatsApp and Telegram messages.
8 | The goal is to obtain text files with a good structure for machine learning purposes. [4] 9 | 10 | ## 📥 Inputs 11 | Data to provide: 12 | - WhatsApp data 13 | - _.txt_ files exported from one or more chat - [how](https://faq.whatsapp.com/en/android/23756533/) 14 | - place all txt files in `./data/chat_raw/whatsapp/*.txt` 15 | - Telegram data 16 | - _.json_ with the telegram dump - [how](https://telegram.org/blog/export-and-more) [5] 17 | - copy and rename the json file in `./data/chat_raw/telegram/telegram_dump.json` 18 | 19 | ## ⚙ Usage 20 | - Install `requirements.txt` 21 | - WhatsApp [1] 22 | > python ./src/whatsapp_parser.py --session_token "<|endoftext|>" --delta_h_threshold 4 --user_name **** 23 | - Telegram [2] 24 | > python ./src/telegram_parser.py --session_token "<|endoftext|>" --delta_h_threshold 4 25 | - Join files and extract user messages 26 | > python ./src/joiner.py 27 | 28 | ## 📤 Outputs 29 | - `telegram-chats.txt` and `wa-chats.txt` 30 | - Will have this structure both:
31 | _[me] bla bla bla_
32 | _[others] bla bla bla_
33 | _[others] bla bla bla_
34 | <|endoftext|>
35 | _[me] bla bla bla_
36 | ... 37 | - Where the three tags: 38 | - `[me]`: placed as suffix of text wrote by the user [3] 39 | - `[others]`: placed as suffix of text wrote by others 40 | - `<|endoftext|>`: added when the time elapsed between two sequential messages is > 4 hours 41 | - `all-messages.txt` 42 | - One file with both `telegram-chats.txt` and `wa-chats.txt` rows. 43 | - `user-messages.txt` 44 | - One line per message wrote by the user [3] 45 | 46 | 47 | ---- 48 | 49 | ### 📝 Notes 50 | - [1] How find `` value? 51 | - From the WhatsApp chat exported text, e.g. from one line:
52 | _12/12/19, 08:40 - ``: bla bla bla_ 53 | - [2] Check that the telegram dump is named `telegram_dump.json` and is inside
54 | _./data/chat_raw/telegram/telegram_dump.json_ 55 | - [3] _user_ = the owner of the messages (I hope it coincides with who use those scripts) 56 | - the account that had done the data dump for Telegram 57 | - the value passed in `--user_name` in WhatsApp parser 58 | - [4] **⚠** Is always better to don't run random scripts on personal information (like chat messages) 59 | - You can check this code 60 | - Take in mind that before: 61 | - This is a free-time project, I'm not guaranteeing efficiently or good programming practice 62 | - I'm not so good at writing English 63 | - Good luck 64 | - [5] Be sure to select the "Account information" checkbox into the telegram dump dialog window 65 | - Both Telegram and WhatsApp parsers aren't tested on the group's chats data and is not intended to manage those types of information. 66 | - Is possible to change the chat session behavior 67 | - with `--session_token` we can change the session splitting token, if argument not provided session split will be 68 | disabled. 69 | - with `--delta_h_threshold` is possible to change the time windows to be elapsed 70 | between two sequential messages before inserting a `session_token` 71 | - 📅 Parsing data with custom values: 72 | - Both WhatsApp and Telegram parser use a default Italian datetime format 73 | - You can always use a custom format parser by using the `--time_format` parameter: 74 | - WhatApp:
75 | > python ./src/whatsapp_parser.py --session_token "<|endoftext|>" --delta_h_threshold 4 --user_name **** --time_format "%d/%m/%y, %H:%M" 76 | - Telegram:
77 | > python ./src/telegram_parser.py --session_token "<|endoftext|>" --time_format "%Y-%m-%dT%H:%M:%S" 78 | -------------------------------------------------------------------------------- /data/chat_parsed/.gitkeep: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pistocop/messaging-chat-parser/892fb779adff41a168e51c1e9084d9872de9aade/data/chat_parsed/.gitkeep -------------------------------------------------------------------------------- /data/chat_raw/telegram/.gitkeep: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pistocop/messaging-chat-parser/892fb779adff41a168e51c1e9084d9872de9aade/data/chat_raw/telegram/.gitkeep -------------------------------------------------------------------------------- /data/chat_raw/telegram/exported_structure.json: -------------------------------------------------------------------------------- 1 | { 2 | "[profile_pictures]": { 3 | "date": "leaf", 4 | "photo": "leaf" 5 | }, 6 | "about": "leaf", 7 | "chats": { 8 | "[list]": { 9 | "[messages]": { 10 | "[text]": { 11 | "text": "leaf", 12 | "type": "leaf" 13 | }, 14 | "date": "leaf", 15 | "edited": "leaf", 16 | "from": "leaf", 17 | "from_id": "leaf", 18 | "id": "leaf", 19 | "text": "leaf", 20 | "type": "leaf" 21 | }, 22 | "id": "leaf", 23 | "messages": "leaf", 24 | "type": "leaf" 25 | }, 26 | "about": "leaf", 27 | "list": "leaf" 28 | }, 29 | "contacts": { 30 | "[list]": { 31 | "date": "leaf", 32 | "first_name": "leaf", 33 | "last_name": "leaf", 34 | "phone_number": "leaf", 35 | "user_id": "leaf" 36 | }, 37 | "about": "leaf", 38 | "list": "leaf" 39 | }, 40 | "frequent_contacts": { 41 | "[list]": { 42 | "category": "leaf", 43 | "id": "leaf", 44 | "name": "leaf", 45 | "rating": "leaf", 46 | "type": "leaf" 47 | }, 48 | "about": "leaf", 49 | "list": "leaf" 50 | }, 51 | "personal_information": { 52 | "first_name": "leaf", 53 | "last_name": "leaf", 54 | "phone_number": "leaf", 55 | "user_id": "leaf", 56 | "username": "leaf" 57 | }, 58 | "profile_pictures": "leaf" 59 | } -------------------------------------------------------------------------------- /data/chat_raw/whatsapp/.gitkeep: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pistocop/messaging-chat-parser/892fb779adff41a168e51c1e9084d9872de9aade/data/chat_raw/whatsapp/.gitkeep -------------------------------------------------------------------------------- /data/resources/Telegram_stopwords.txt: -------------------------------------------------------------------------------- 1 | https 2 | type -------------------------------------------------------------------------------- /data/resources/WhatsApp_stopwords.txt: -------------------------------------------------------------------------------- 1 | https 2 | 3 | 4 | www -------------------------------------------------------------------------------- /data/word_cloud/.gitkeep: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pistocop/messaging-chat-parser/892fb779adff41a168e51c1e9084d9872de9aade/data/word_cloud/.gitkeep -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | tqdm 2 | matplotlib 3 | stop_words 4 | wordcloud 5 | parse>= 1.15.0 -------------------------------------------------------------------------------- /src/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pistocop/messaging-chat-parser/892fb779adff41a168e51c1e9084d9872de9aade/src/__init__.py -------------------------------------------------------------------------------- /src/joiner.py: -------------------------------------------------------------------------------- 1 | """ 2 | user_joiner.py 3 | 4 | Script to extract all lines with `USER_TAG` from files, 5 | and join all together in one `user-messages.txt` file. 6 | """ 7 | import sys 8 | import logging 9 | import argparse 10 | from os.path import basename, normpath, join, isfile 11 | 12 | from typing import List 13 | 14 | USER_TAG = "[me]" 15 | OTHERS_TAG = "[others]" 16 | 17 | 18 | def run(files_directory: str, files_name: List[str], output_path: str): 19 | user_output_file = join(output_path, "user-messages.txt") 20 | all_output_file = join(output_path, "all-messages.txt") 21 | 22 | logging.info(f"files_directory:{files_directory} - files_name:{files_name}") 23 | user_messages = [] 24 | all_messages = [] 25 | for file_name in files_name: 26 | file_path = join(files_directory, file_name) 27 | if not isfile(file_path): 28 | logging.warning(f"File {file_path} provided but not found") 29 | continue 30 | file = open(file_path, 'r') 31 | for line in file: 32 | all_messages.append(line) 33 | if USER_TAG in line: 34 | line = line.replace(USER_TAG, '') 35 | user_messages.append(line) 36 | file.close() 37 | 38 | logging.info(f"N° User messages - {len(user_messages)} messages found. Saving at: {user_output_file}") 39 | logging.info(f"N° Chat messages - {len(all_messages)} messages found. Saving at: {all_output_file}") 40 | open(user_output_file, 'w').writelines(user_messages) 41 | open(all_output_file, 'w').writelines(all_messages) 42 | logging.info("Joiner finished") 43 | 44 | 45 | def main(argv): 46 | parser = argparse.ArgumentParser(prog=argv[0]) 47 | parser.add_argument("--files_directory", type=str, default='./data/chat_parsed/', 48 | help="path to the folder with files to parse") 49 | parser.add_argument("--files_name", nargs='+', 50 | default=['telegram-chats.txt', 'wa-chats.txt'], 51 | help="list of files name to include in the joining process") 52 | parser.add_argument("--output_path", type=str, default='./data/chat_parsed/', 53 | help="Folder where store 'user-messages.txt' and 'all-messages.txt' ") 54 | parser.add_argument("-v", "--verbose", help="increase output verbosity", action="store_true") 55 | args = parser.parse_args(argv[1:]) 56 | loglevel = logging.DEBUG if args.verbose else logging.INFO 57 | process_name = basename(normpath(argv[0])) 58 | logging.basicConfig(format=f"[{process_name}][%(levelname)s]: %(message)s", level=loglevel, stream=sys.stdout) 59 | delattr(args, "verbose") 60 | run(**vars(args)) 61 | 62 | 63 | if __name__ == '__main__': 64 | main(sys.argv) 65 | -------------------------------------------------------------------------------- /src/telegram_parser.py: -------------------------------------------------------------------------------- 1 | import logging 2 | import os 3 | import sys 4 | import json 5 | import argparse 6 | from datetime import datetime 7 | from os.path import normpath, basename 8 | 9 | from tqdm import tqdm 10 | 11 | sys.path.append("./") 12 | from src.utils.utils import extract_dict_structure, split_in_sessions 13 | 14 | USER_TAG = "[me]" 15 | OTHERS_TAG = "[others]" 16 | TELEGRAM_STOP_WORDS = [word.replace('\n', '') for word in open('./data/resources/Telegram_stopwords.txt').readlines()] 17 | 18 | 19 | def save_messages_parsed(output_path, user_messages): 20 | output_file = os.path.join(output_path, "telegram-chats.txt") 21 | with open(output_file, 'w') as f: 22 | [f.write(f"{msg}\n") for msg in user_messages] 23 | 24 | 25 | def stop_word_checker(actor, invalid_lines, text): 26 | if type(text) != str: # Telegram save links under 'text' key, but they are dictionary / list 27 | invalid_lines.append(f"[STOP_WORD] {actor} - {text}") 28 | return True 29 | for stop_word in TELEGRAM_STOP_WORDS: 30 | if stop_word in text: 31 | invalid_lines.append(f"[STOP_WORD] {actor} - {text}") 32 | return True 33 | return False 34 | 35 | 36 | def messages_parser(personal_chat, telegram_data, session_info: dict): 37 | datetime_format = session_info['time_format'] 38 | usr_id = 'user' + str(telegram_data['personal_information']['user_id']) 39 | usr_messages = [] 40 | invalid_lines = [] 41 | 42 | for chat in tqdm(telegram_data['chats']['list']): 43 | if chat['type'] == 'saved_messages' and not personal_chat: 44 | continue # Skip personal messages 45 | if chat['type'] != 'personal_chat': 46 | continue # Skip everything but 1 to 1 messages 47 | logging.info(f"Processing chat with `{chat.get('name', 'personal messages')}`") 48 | t_last = None 49 | for message in chat['messages']: 50 | if message['type'] == "message" and message['text']: 51 | t_current = datetime.strptime(message['date'], datetime_format) 52 | split_in_sessions(t_current, 53 | t_last, 54 | usr_messages, 55 | session_info['delta_h_threshold'], 56 | session_info['session_token']) 57 | t_last = t_current 58 | if not stop_word_checker(message['from_id'], invalid_lines, message['text']): 59 | msg_prefix = USER_TAG if message['from_id'] == usr_id else OTHERS_TAG 60 | usr_messages.append(f"{msg_prefix} {message['text']}") 61 | logging.info(f"N° {len(invalid_lines)} invalid lines found, top 5: {invalid_lines[:5]}") 62 | return usr_messages 63 | 64 | 65 | def load_data(json_path): 66 | with open(json_path, 'r') as f: 67 | telegram_data = json.load(f) 68 | telegram_data_structure = extract_dict_structure(telegram_data) 69 | # logging.info(f'Input json structure:\n{json.dumps(telegram_data_structure, indent=4, sort_keys=True)}') 70 | return telegram_data 71 | 72 | 73 | def run(json_path: str, 74 | output_path: str, 75 | session_token: str, 76 | delta_h_threshold: int, 77 | time_format: str, 78 | personal_chat: bool = None): 79 | session_info = {"session_token": session_token, 80 | "delta_h_threshold": delta_h_threshold, 81 | "time_format": time_format} 82 | 83 | logging.info(f"Loading telegram user data at {json_path}...") 84 | telegram_data = load_data(json_path) 85 | 86 | logging.info(f"Start parsing telegram messages...") 87 | user_messages = messages_parser(personal_chat, telegram_data, session_info) 88 | 89 | logging.info(f"Saving {len(user_messages)}^ telegram messages...") 90 | save_messages_parsed(output_path, user_messages) 91 | 92 | 93 | def main(argv): 94 | parser = argparse.ArgumentParser(prog=argv[0]) 95 | parser.add_argument('--json_path', type=str, required=False, default="./data/chat_raw/telegram/telegram_dump.json", 96 | help="Path to the json created from Telegram exporter") 97 | parser.add_argument('--output_path', type=str, default="./data/chat_parsed/") 98 | parser.add_argument('--personal_chat', type=bool, default=False, 99 | help="Include the telegram personal chats. Default is disabled.") 100 | parser.add_argument('--session_token', type=str, 101 | help="Add a 'session_token' after 'delta_h_threshold' hours" 102 | "are elapsed between two messages. This allows splitting in sessions" 103 | "one chat based on messages timing.") 104 | parser.add_argument("--delta_h_threshold", type=int, default=4, 105 | help="Hours between two messages to before add 'session_token'") 106 | parser.add_argument("--time_format", type=str, default="%Y-%m-%dT%H:%M:%S", 107 | help="The Telegram format timestamp. Default is Italian format.") 108 | parser.add_argument("-v", "--verbose", help="increase output verbosity", action="store_true") 109 | args = parser.parse_args(argv[1:]) 110 | loglevel = logging.DEBUG if args.verbose else logging.INFO 111 | process_name = basename(normpath(argv[0])) 112 | logging.basicConfig(format=f"[{process_name}][%(levelname)s]: %(message)s", level=loglevel, stream=sys.stdout) 113 | delattr(args, "verbose") 114 | run(**vars(args)) 115 | 116 | 117 | if __name__ == '__main__': 118 | main(sys.argv) 119 | -------------------------------------------------------------------------------- /src/utils/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pistocop/messaging-chat-parser/892fb779adff41a168e51c1e9084d9872de9aade/src/utils/__init__.py -------------------------------------------------------------------------------- /src/utils/utils.py: -------------------------------------------------------------------------------- 1 | import json 2 | from os import listdir, path 3 | from typing import Tuple, List 4 | from argparse import Namespace 5 | 6 | 7 | def params_printer(params: Namespace): 8 | print(f"Inputs provided: {json.dumps(vars(params), indent=4)}") 9 | 10 | 11 | def get_dir_files(dir_path: str, extension_filter: str = None) -> Tuple[List[str], List[str]]: 12 | files_name = listdir(path=dir_path) 13 | if extension_filter: 14 | files_name = [file for file in files_name if file.endswith(extension_filter)] 15 | txt_files_paths = [path.join(dir_path, file) for file in files_name] 16 | return files_name, txt_files_paths 17 | 18 | 19 | def extract_dict_structure(dictionary: dict) -> dict: 20 | """ 21 | Return a dictionary with the same structure of input dict, but without data. 22 | When a key name is surrounded by square brackets, it means that the key contain a list of dict. 23 | 24 | TODO bug: list is copied two times 25 | """ 26 | structure = {} 27 | for key in dictionary.keys(): 28 | structure[key] = 'leaf' 29 | if type(dictionary[key]) == dict: 30 | sub_structure = extract_dict_structure(dictionary[key]) 31 | structure[key] = sub_structure 32 | elif type(dictionary[key]) == list and dictionary[key]: 33 | first_el = dictionary[key][0] 34 | if type(first_el) == dict: # assume that the list contain same dictionaries 35 | sub_structure = extract_dict_structure(first_el) 36 | structure[f"[{key}]"] = sub_structure 37 | return structure 38 | 39 | 40 | def split_in_sessions(t_current, t_last, chat_text, delta_h_threshold, session_token): 41 | if session_token: 42 | if t_last and t_current: 43 | delta_h = divmod((t_current - t_last).total_seconds(), 3600)[0] 44 | if delta_h >= delta_h_threshold: 45 | chat_text.append(session_token) 46 | -------------------------------------------------------------------------------- /src/utils/word_cloud.py: -------------------------------------------------------------------------------- 1 | import argparse 2 | import sys 3 | import matplotlib.pyplot as plt 4 | from os import path 5 | from src.utils.utils import get_dir_files 6 | from wordcloud import WordCloud 7 | from stop_words import get_stop_words 8 | 9 | custom_stop_words = ['media', 'omessi'] 10 | 11 | 12 | def run(txt_input: str, img_output: str, stop_words_language: str): 13 | txt_files_name, txt_files_paths = get_dir_files(dir_path=txt_input, extension_filter='.txt') 14 | ita_stopwords = get_stop_words(stop_words_language) 15 | 16 | for file_name, file_path in zip(txt_files_name, txt_files_paths): 17 | fig_path = path.join(img_output, file_name.replace('.txt', '.png')) 18 | with open(file_path, 'r') as f: 19 | corpus = f.readlines() 20 | corpus_mono_line = ' '.join(corpus) 21 | wordcloud = WordCloud(width=800, height=800, 22 | background_color='white', 23 | stopwords=set(ita_stopwords), 24 | min_font_size=10).generate(corpus_mono_line) 25 | plt.figure(figsize=(8, 8), facecolor=None) 26 | plt.imshow(wordcloud) 27 | plt.axis("off") 28 | plt.tight_layout(pad=0) 29 | plt.savefig(fig_path) 30 | 31 | 32 | def main(argv): 33 | parser = argparse.ArgumentParser() 34 | parser.add_argument('--txt_input', type=str, required=False, default="../data/chat_parsed") 35 | parser.add_argument('--img_output', type=str, required=False, default="../data/word_cloud/") 36 | parser.add_argument('--stop_words_language', type=str, required=False, default="it") 37 | params, _ = parser.parse_known_args(argv) 38 | run(params.txt_input, params.img_output, params.stop_words_language) 39 | 40 | 41 | if __name__ == '__main__': 42 | main(sys.argv[1:]) 43 | -------------------------------------------------------------------------------- /src/whatsapp_parser.py: -------------------------------------------------------------------------------- 1 | import sys 2 | import logging 3 | import argparse 4 | import parse 5 | 6 | from pathlib import Path 7 | from datetime import datetime 8 | from typing import List, Tuple, Optional 9 | from os.path import join, basename, normpath 10 | 11 | sys.path.append("./") 12 | from src.utils.utils import get_dir_files, split_in_sessions 13 | 14 | USER_TAG = "[me]" 15 | OTHERS_TAG = "[others]" 16 | 17 | WA_STOP_WORDS = [word.replace('\n', '') for word in open('./data/resources/WhatsApp_stopwords.txt').readlines()] 18 | 19 | 20 | def parse_line(line: str, datetime_format: str) -> Tuple[Optional[datetime], str, str]: 21 | timestamp = None 22 | actor = 'invalid' 23 | text = '' 24 | 25 | line_elements = parse.parse("{date}, {time} - {actor}: {text}", line) 26 | if line_elements: 27 | message_datetime = f"{line_elements['date']}, {line_elements['time']}" # e.g. "31/12/19, 20:02" 28 | timestamp = datetime.strptime(message_datetime, datetime_format) 29 | actor = line_elements['actor'] 30 | text = line_elements['text'] 31 | return timestamp, actor, text 32 | 33 | 34 | def stop_word_checker(actor, invalid_lines, text): 35 | for stop_word in WA_STOP_WORDS: 36 | if stop_word in text: 37 | invalid_lines.append(f"[STOP_WORD] {actor} - {text}") 38 | return True 39 | return False 40 | 41 | 42 | def save_text(text_list: List[str], output_path: str): 43 | logging.info(f'Saving {output_path}') 44 | with open(output_path, "w") as f: 45 | f.writelines("\n".join(text_list)) 46 | 47 | 48 | def parse_chat(file_path: str, 49 | user_name: str, 50 | datetime_format: str, 51 | delta_h_threshold: int, 52 | session_token: str = None) -> List[str]: 53 | chat_text = [session_token] if session_token else [] 54 | invalid_lines = [] 55 | 56 | with open(file_path) as f: 57 | lines = f.readlines() 58 | t_last = None 59 | for line in lines: 60 | t_current, actor, text = parse_line(line, datetime_format) 61 | 62 | if actor == 'invalid': 63 | invalid_lines.append(f"{actor} - {text}") 64 | continue 65 | if stop_word_checker(actor, invalid_lines, text): 66 | continue 67 | 68 | split_in_sessions(t_current, t_last, chat_text, delta_h_threshold, session_token) 69 | t_last = t_current 70 | 71 | actor = USER_TAG if actor == user_name else OTHERS_TAG 72 | chat_text.append(f"{actor} {text}") 73 | logging.info(f'Found {len(invalid_lines)} invalid lines in {file_path}') 74 | 75 | open(f"./tmp/invalid_lines_{basename(file_path)}", 'w').writelines("\n".join(invalid_lines)) 76 | return chat_text 77 | 78 | 79 | def run(user_name: str, 80 | chats_path: str, 81 | output_path: str, 82 | time_format: str, 83 | delta_h_threshold: int, 84 | session_token: str = None): 85 | logging.info(f"WA_STOP_WORDS:{WA_STOP_WORDS}") 86 | Path("./tmp").mkdir(parents=True, exist_ok=True) 87 | txt_files_name, txt_files_paths = get_dir_files(dir_path=chats_path, extension_filter=".txt") 88 | logging.info(f"Found {len(txt_files_paths)} txt files in `{chats_path}` folder: {txt_files_paths}") 89 | 90 | wa_text = [] 91 | for file_name, file_path in zip(txt_files_name, txt_files_paths): 92 | file_text_parsed = parse_chat(file_path, user_name, time_format, delta_h_threshold, session_token) 93 | wa_text.extend(file_text_parsed) 94 | 95 | chat_path = join(output_path, 'wa-chats.txt') 96 | save_text(wa_text, chat_path) 97 | 98 | 99 | def main(argv): 100 | parser = argparse.ArgumentParser(prog=argv[0]) 101 | parser.add_argument('--user_name', type=str, required=True, 102 | help="The whatsapp user name of User. It could be read on the WhatsApp raws data.") 103 | parser.add_argument('--chats_path', type=str, default="./data/chat_raw/whatsapp/") 104 | parser.add_argument('--output_path', type=str, default="./data/chat_parsed/") 105 | parser.add_argument('--session_token', type=str, 106 | help="Add a 'session_token' after 'delta_h_threshold' hours" 107 | "are elapsed between two messages. This allows splitting in sessions" 108 | "one chat based on messages timing.") 109 | parser.add_argument("--delta_h_threshold", type=int, default=4, 110 | help="Hours between two messages to before add 'session_token'") 111 | parser.add_argument("--time_format", type=str, default="%d/%m/%y, %H:%M", 112 | help="The WhatsApp datetime format. The default is the italian format.") 113 | parser.add_argument("-v", "--verbose", help="increase output verbosity", action="store_true") 114 | args = parser.parse_args(argv[1:]) 115 | loglevel = logging.DEBUG if args.verbose else logging.INFO 116 | process_name = basename(normpath(argv[0])) 117 | logging.basicConfig(format=f"[{process_name}][%(levelname)s]: %(message)s", level=loglevel, stream=sys.stdout) 118 | delattr(args, "verbose") 119 | run(**vars(args)) 120 | 121 | 122 | if __name__ == '__main__': 123 | main(sys.argv) 124 | --------------------------------------------------------------------------------