diff --git a/LICENSE.md b/LICENSE.md new file mode 100644 index 0000000..f7f7438 --- /dev/null +++ b/LICENSE.md @@ -0,0 +1,7 @@ +MIT License + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. diff --git a/README.md b/README.md new file mode 100644 index 0000000..739a275 --- /dev/null +++ b/README.md @@ -0,0 +1,94 @@ +# DonnaSpecter + +Welcome to the world of DonnaSpecter, an open-source software (OSS) project that's as sharp, adaptable, and indispensable as Donna Paulson herself. As a tribute to the legendary secretary from the TV show "Suits", this AI-powered personal assistant is ready to handle your daily tasks with the same flair and proficiency. + +## Features + +### Email Handling + +Just as Donna manages the communications for Pearson Hardman, the `email_handler` module takes charge of your incoming and outgoing emails, ensuring not a single important message slips through the cracks. + +### Task Scheduling + +Ever wonder how Donna keeps track of all those appointments and meetings? With the `scheduler` module, DonnaSpecter has an impeccable sense of timing, ensuring you never miss a task or deadline. + +### AI Modeling + +Donna always seems to know exactly what's needed, doesn't she? The `ai_model` directory houses the intelligence behind DonnaSpecter, enabling her to anticipate your needs and offer solutions. + +### Frontend and Backend + +Every law firm needs its front-of-house and its backroom experts. The `frontend` and `backend` directories contain the code that keeps DonnaSpecter running smoothly, from the interface you see to the data processing happening behind the scenes. + +### Security + +In the world of legal drama, confidentiality is paramount. Our `security` module is designed to protect your data with as much diligence as Donna protects the secrets of Pearson Hardman. + +### Database Management + +Every case detail, every clause, every precedent - Donna remembers them all. The `database` module is the digital equivalent, storing and managing your data with precision. + +### Microservices Architecture + +Just as a law firm relies on the expertise of various departments, DonnaSpecter is built on a microservices architecture for scalable, reliable, and independent deployment of services. + +### DevOps + +Pearson Hardman wouldn't be a top law firm without its streamlined processes. The `cicd`, `kubernetes`, and `docker` directories reflect our commitment to efficiency and modern development practices. + +## Getting Started + +Ready to bring the efficiency of Pearson Hardman to your daily life? Here's how to start: + +1. Clone the DonnaSpecter repository - no legal paperwork required. You can find the repository at [this link](https://github.com/shadowaxe99/DonnaSpecter). +2. Enter the `src` directory, the heart of our operation. +3. Run the `main.py` script to wake DonnaSpecter and get started with your new personal assistant. + +Ensure you have set up the necessary environment variables as specified in `shared_dependencies.md` and that your system is equipped with all the necessary dependencies. + +## Contributing + +Just as Mike Ross found his place at Pearson Hardman, we welcome new contributors to DonnaSpecter. Check out `CONTRIBUTING.md` for your orientation. + +## License + +DonnaSpecter operates under the MIT License. For the legalities, see `LICENSE.md`. + +## Reporting Issues + +Just like Harvey Specter, we believe in taking matters into our own hands. If you encounter an issue, don't wait around - "fix it yourself." However, if you believe that the issue may affect other users or require a more substantial fix, don't hesitate to raise an issue. This way, we can all contribute to improving DonnaSpecter and making it an even more effective assistant. After all, we're a team, and "that's how we win." + +## How to Use - A Guide for the Mikes of the World + +Ever feel like a fraud in a world of Harveys? Don't worry, Mike. We've got your back. Here's a simple guide to using DonnaSpecter: + + +### Step 1: Get the Goods +First, you need to get DonnaSpecter onto your computer. This is called "cloning" the repository. Don't worry, it's perfectly legal. In your terminal, navigate to the directory where you want to put DonnaSpecter, and enter: + + git clone https://github.com/shadowaxe99/DonnaSpecter.git + +Now you've got your own copy of DonnaSpecter! + +### Step 2: Enter the World +Navigate into the heart of the operation, the `src` directory. Just type: + + cd DonnaSpecter/src + +You're in. + +### Step 3: Wake Donna Up +Start the program by running the `main.py` script. This is like waking Donna up in the morning. Type: + + python main.py + +DonnaSpecter should now be running and ready to assist you. + +### Step 4: Ask for Help +DonnaSpecter has a lot of functionalities. If you're not sure where to start, just ask for help. Donna is here to assist you, and she's got a whole lot of tricks up her sleeve. + +Remember, as a wise man once said, "When you are backed against the wall, break the goddamn thing down." So if you encounter any obstacles in your journey with DonnaSpecter, don't hesitate to reach out and report any issues. We're in this together, and we'll break down those walls as a team. Don't be afraid to dive in and learn as you go. In the immortal words of Harvey Specter and I am sure McKay would agree, "the only time success comes before work is in the dictionary." DonnaSpecter is here to make your work more manageable. "Remember, the road to success is still yours to travel and it is measured by how many lines of code you write" - McKay Wrigley, somewhere, so you definitely needed this to help you catch up. + +This guide assumes that the user has basic knowledge of how to use a terminal and has Python installed on their computer. If this isn't the case, they may need to look up some additional resources to get started. + +"Life is this, I like this." - Harvey Specter, and hopefully you after using DonnaSpecter. Enjoy your journey with your new AI-powered assistant. It's time to suit up and get to work! diff --git a/availability_analysis.py b/availability_analysis.py new file mode 100644 index 0000000..7affe68 --- /dev/null +++ b/availability_analysis.py @@ -0,0 +1,33 @@ +```python +import datetime +from ai_assistant.scheduler import schedule + +def check_availability(user_profile, start_time, end_time): + """ + Check the availability of the user within a given time frame. + """ + user_schedule = schedule[user_profile] + for event in user_schedule: + if event['start_time'] <= start_time < event['end_time'] or event['start_time'] < end_time <= event['end_time']: + return False + return True + +def find_free_slots(user_profile, duration, start_date=datetime.datetime.now(), end_date=datetime.datetime.now() + datetime.timedelta(days=7)): + """ + Find free slots in the user's schedule that are at least as long as the specified duration. + """ + free_slots = [] + current_time = start_date + while current_time + duration <= end_date: + if check_availability(user_profile, current_time, current_time + duration): + free_slots.append((current_time, current_time + duration)) + current_time += duration + return free_slots + +def suggest_times(user_profile, duration, num_suggestions=5): + """ + Suggest a number of free slots in the user's schedule that are at least as long as the specified duration. + """ + free_slots = find_free_slots(user_profile, duration) + return free_slots[:num_suggestions] +``` \ No newline at end of file diff --git a/cognitive_load_balancing.py b/cognitive_load_balancing.py new file mode 100644 index 0000000..74fd3b4 --- /dev/null +++ b/cognitive_load_balancing.py @@ -0,0 +1,37 @@ +```python +import datetime +from ai_assistant.scheduler import schedule +from ai_assistant.task_automation import task_list + +def balanceLoad(user_profile, meeting_data, task_list): + """ + Function to balance cognitive load by distributing tasks and meetings evenly + """ + # Get the total number of tasks and meetings + total_items = len(task_list) + len(meeting_data) + + # Calculate the average load per day + average_load = total_items / 7 + + # Distribute the tasks and meetings evenly across the week + for i in range(7): + day_load = 0 + while day_load < average_load: + if len(task_list) > 0: + schedule(user_profile, task_list.pop(0), datetime.datetime.now() + datetime.timedelta(days=i)) + day_load += 1 + if len(meeting_data) > 0: + schedule(user_profile, meeting_data.pop(0), datetime.datetime.now() + datetime.timedelta(days=i)) + day_load += 1 + + return user_profile + +def updateLoadBalancing(user_profile, meeting_data, task_list): + """ + Function to update the load balancing when a new task or meeting is added + """ + # Add the new task or meeting to the schedule + balanceLoad(user_profile, meeting_data, task_list) + + return user_profile +``` \ No newline at end of file diff --git a/content_curation.py b/content_curation.py new file mode 100644 index 0000000..293993e --- /dev/null +++ b/content_curation.py @@ -0,0 +1,36 @@ +```python +import os +import json +from ai_assistant.shared_dependencies import user_profile, content_data + +class ContentCuration: + def __init__(self, user_profile, content_data): + self.user_profile = user_profile + self.content_data = content_data + + def curate_content(self): + curated_content = [] + for content in self.content_data: + if self.user_profile['interests'] in content['tags']: + curated_content.append(content) + return curated_content + + def save_curated_content(self, curated_content): + with open('curated_content.json', 'w') as json_file: + json.dump(curated_content, json_file) + + def load_curated_content(self): + if os.path.exists('curated_content.json'): + with open('curated_content.json') as json_file: + curated_content = json.load(json_file) + return curated_content + else: + return [] + +if __name__ == "__main__": + content_curation = ContentCuration(user_profile, content_data) + curated_content = content_curation.curate_content() + content_curation.save_curated_content(curated_content) + loaded_content = content_curation.load_curated_content() + print(loaded_content) +``` \ No newline at end of file diff --git a/contextual_understanding.py b/contextual_understanding.py new file mode 100644 index 0000000..306aecf --- /dev/null +++ b/contextual_understanding.py @@ -0,0 +1,41 @@ +```python +import nltk +from nltk.corpus import stopwords +from nltk.tokenize import word_tokenize, sent_tokenize + +# Importing shared dependencies +from shared_dependencies import user_profile, meeting_data + +class ContextUnderstanding: + def __init__(self): + self.stop_words = set(stopwords.words('english')) + + def tokenize(self, text): + return word_tokenize(text) + + def remove_stopwords(self, tokenized_text): + return [word for word in tokenized_text if word not in self.stop_words] + + def understand_context(self, text): + tokenized = self.tokenize(text) + tokenized = self.remove_stopwords(tokenized) + + tagged = nltk.pos_tag(tokenized) + + namedEnt = nltk.ne_chunk(tagged) + namedEnt.draw() + + return namedEnt + +context_understanding = ContextUnderstanding() + +def update_context(): + for meeting in meeting_data: + context = context_understanding.understand_context(meeting['description']) + meeting['context'] = context + +def get_context(user_id): + user_meetings = [meeting for meeting in meeting_data if meeting['user_id'] == user_id] + user_context = [meeting['context'] for meeting in user_meetings] + return user_context +``` \ No newline at end of file diff --git a/continuous_learning.py b/continuous_learning.py new file mode 100644 index 0000000..b0d3708 --- /dev/null +++ b/continuous_learning.py @@ -0,0 +1,61 @@ +```python +import numpy as np +from sklearn.model_selection import train_test_split +from sklearn.ensemble import RandomForestClassifier +from sklearn.metrics import accuracy_score +from sklearn.metrics import classification_report +import pandas as pd + +class ContinuousLearning: + def __init__(self, user_profile, learning_progress): + self.user_profile = user_profile + self.learning_progress = learning_progress + self.model = None + + def load_data(self): + # Load data from user_profile and learning_progress + data = pd.concat([self.user_profile, self.learning_progress], axis=1) + return data + + def preprocess_data(self, data): + # Preprocess data, handle missing values, convert categorical data to numerical, etc. + data = data.dropna() + data = pd.get_dummies(data) + return data + + def split_data(self, data): + # Split data into training and testing sets + X = data.drop('target', axis=1) + y = data['target'] + X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) + return X_train, X_test, y_train, y_test + + def train_model(self, X_train, y_train): + # Train model using RandomForestClassifier + self.model = RandomForestClassifier(n_estimators=100) + self.model.fit(X_train, y_train) + + def evaluate_model(self, X_test, y_test): + # Evaluate model performance + y_pred = self.model.predict(X_test) + print("Accuracy:", accuracy_score(y_test, y_pred)) + print(classification_report(y_test, y_pred)) + + def update_learning_progress(self, learning_progress): + # Update learning progress + self.learning_progress = learning_progress + + def run(self): + # Run continuous learning process + data = self.load_data() + data = self.preprocess_data(data) + X_train, X_test, y_train, y_test = self.split_data(data) + self.train_model(X_train, y_train) + self.evaluate_model(X_test, y_test) + +if __name__ == "__main__": + user_profile = pd.read_csv('user_profile.csv') + learning_progress = pd.read_csv('learning_progress.csv') + continuous_learning = ContinuousLearning(user_profile, learning_progress) + continuous_learning.run() +``` \ No newline at end of file diff --git a/cross_platform_syncing.py b/cross_platform_syncing.py new file mode 100644 index 0000000..d4c459c --- /dev/null +++ b/cross_platform_syncing.py @@ -0,0 +1,61 @@ +```python +import os +import json +from ai_assistant.shared_dependencies import user_profile, meeting_data, notification_settings, task_list + +class CrossPlatformSync: + def __init__(self): + self.user_profile = user_profile + self.meeting_data = meeting_data + self.notification_settings = notification_settings + self.task_list = task_list + + def sync_data(self, platform): + if platform == 'google': + self.sync_google() + elif platform == 'apple': + self.sync_apple() + elif platform == 'microsoft': + self.sync_microsoft() + else: + print("Invalid platform") + + def sync_google(self): + # Logic to sync data with Google services + pass + + def sync_apple(self): + # Logic to sync data with Apple services + pass + + def sync_microsoft(self): + # Logic to sync data with Microsoft services + pass + + def export_data(self, file_path): + data = { + 'user_profile': self.user_profile, + 'meeting_data': self.meeting_data, + 'notification_settings': self.notification_settings, + 'task_list': self.task_list + } + with open(file_path, 'w') as f: + json.dump(data, f) + + def import_data(self, file_path): + if os.path.exists(file_path): + with open(file_path, 'r') as f: + data = json.load(f) + self.user_profile = data['user_profile'] + self.meeting_data = data['meeting_data'] + self.notification_settings = data['notification_settings'] + self.task_list = data['task_list'] + else: + print("File does not exist") + +if __name__ == "__main__": + cross_platform_sync = CrossPlatformSync() + cross_platform_sync.sync_data('google') + cross_platform_sync.export_data('data.json') + cross_platform_sync.import_data('data.json') +``` \ No newline at end of file diff --git a/cybersecurity.py b/cybersecurity.py new file mode 100644 index 0000000..123c777 --- /dev/null +++ b/cybersecurity.py @@ -0,0 +1,39 @@ +```python +import hashlib +from Crypto.Cipher import AES +from Crypto.Random import get_random_bytes + +class CyberSecurity: + def __init__(self, user_profile, security_settings): + self.user_profile = user_profile + self.security_settings = security_settings + + def hash_password(self, password): + salt = self.security_settings.get('salt') + hashed_password = hashlib.pbkdf2_hmac('sha256', password.encode('utf-8'), salt, 100000) + return hashed_password + + def encrypt_data(self, data): + key = get_random_bytes(16) + cipher = AES.new(key, AES.MODE_EAX) + ciphertext, tag = cipher.encrypt_and_digest(data) + return ciphertext, tag, cipher.nonce + + def decrypt_data(self, ciphertext, tag, nonce): + key = self.security_settings.get('key') + cipher = AES.new(key, AES.MODE_EAX, nonce=nonce) + data = cipher.decrypt_and_verify(ciphertext, tag) + return data + + def secure_cyber(self): + for key, value in self.user_profile.items(): + if key in self.security_settings.get('sensitive_data'): + encrypted_value, tag, nonce = self.encrypt_data(value) + self.user_profile[key] = {'encrypted_value': encrypted_value, 'tag': tag, 'nonce': nonce} + + def unsecure_cyber(self): + for key, value in self.user_profile.items(): + if key in self.security_settings.get('sensitive_data'): + decrypted_value = self.decrypt_data(value.get('encrypted_value'), value.get('tag'), value.get('nonce')) + self.user_profile[key] = decrypted_value +``` diff --git a/dynamic_meeting_durations.py b/dynamic_meeting_durations.py new file mode 100644 index 0000000..f61f8c7 --- /dev/null +++ b/dynamic_meeting_durations.py @@ -0,0 +1,39 @@ +```python +import datetime +from ai_assistant.meeting_analytics import analyzeMeeting + +def adjustDuration(meeting_data): + """ + Function to dynamically adjust the duration of meetings based on various factors + """ + adjusted_meetings = [] + for meeting in meeting_data: + duration = meeting['end_time'] - meeting['start_time'] + if duration > datetime.timedelta(hours=1): + # If meeting is longer than 1 hour, reduce it by 15% + new_duration = duration - (duration * 0.15) + elif duration < datetime.timedelta(minutes=30): + # If meeting is shorter than 30 minutes, increase it by 20% + new_duration = duration + (duration * 0.20) + else: + # If meeting is between 30 minutes and 1 hour, keep the duration as is + new_duration = duration + + # Update the end time of the meeting based on the new duration + meeting['end_time'] = meeting['start_time'] + new_duration + adjusted_meetings.append(meeting) + + return adjusted_meetings + +def dynamicDuration(meeting_data): + """ + Function to dynamically adjust the duration of meetings based on meeting analytics + """ + # Analyze the meeting data to get insights + insights = analyzeMeeting(meeting_data) + + # Adjust the duration of the meetings based on the insights + adjusted_meetings = adjustDuration(meeting_data) + + return adjusted_meetings +``` \ No newline at end of file diff --git a/email_management.py b/email_management.py new file mode 100644 index 0000000..674a943 --- /dev/null +++ b/email_management.py @@ -0,0 +1,46 @@ +```python +import smtplib +from email.mime.multipart import MIMEMultipart +from email.mime.text import MIMEText +from email.mime.base import MIMEBase +from email import encoders + +class EmailManager: + def __init__(self, user_profile): + self.user_profile = user_profile + + def send_email(self, to_address, subject, body, attachment=None): + msg = MIMEMultipart() + msg['From'] = self.user_profile['email'] + msg['To'] = to_address + msg['Subject'] = subject + + msg.attach(MIMEText(body, 'plain')) + + if attachment: + attachment_file = open(attachment, 'rb') + part = MIMEBase('application', 'octet-stream') + part.set_payload((attachment_file).read()) + encoders.encode_base64(part) + part.add_header('Content-Disposition', "attachment; filename= %s" % attachment) + msg.attach(part) + + server = smtplib.SMTP('smtp.gmail.com', 587) + server.starttls() + server.login(self.user_profile['email'], self.user_profile['password']) + text = msg.as_string() + server.sendmail(self.user_profile['email'], to_address, text) + server.quit() + + def manage_inbox(self): + # This function can be expanded to include logic for managing the inbox + pass + + def manage_sent(self): + # This function can be expanded to include logic for managing sent emails + pass + + def manage_drafts(self): + # This function can be expanded to include logic for managing drafts + pass +``` \ No newline at end of file diff --git a/email_notifications.py b/email_notifications.py new file mode 100644 index 0000000..8f98f76 --- /dev/null +++ b/email_notifications.py @@ -0,0 +1,43 @@ +```python +import smtplib +from email.mime.multipart import MIMEMultipart +from email.mime.text import MIMEText + +from ai_assistant.scheduler import schedule +from ai_assistant.user_profile import UserProfileSchema + +def emailNotification(user_profile: UserProfileSchema, meeting_data: dict): + # create message object instance + msg = MIMEMultipart() + + message = f"Dear {user_profile.name},\n\nYou have a meeting scheduled at {meeting_data['time']}. The meeting details are as follows:\n\n{meeting_data['details']}" + + # setup the parameters of the message + password = "YOUR_PASSWORD" + msg['From'] = "YOUR_EMAIL" + msg['To'] = user_profile.email + msg['Subject'] = "Meeting Notification" + + # add in the message body + msg.attach(MIMEText(message, 'plain')) + + #create server + server = smtplib.SMTP('smtp.gmail.com: 587') + + server.starttls() + + # Login Credentials for sending the mail + server.login(msg['From'], password) + + # send the message via the server. + server.sendmail(msg['From'], msg['To'], msg.as_string()) + + server.quit() + + print(f"successfully sent email to {msg['To']}") + +def notifyAllUsers(): + for user in UserProfileSchema.query.all(): + schedule_data = schedule(user) + emailNotification(user, schedule_data) +``` diff --git a/emotional_intelligence.py b/emotional_intelligence.py new file mode 100644 index 0000000..4915876 --- /dev/null +++ b/emotional_intelligence.py @@ -0,0 +1,37 @@ +```python +import numpy as np +from sklearn.ensemble import RandomForestClassifier +from ai_assistant.shared_dependencies import user_profile, meeting_data + +class EmotionalIntelligence: + def __init__(self): + self.model = RandomForestClassifier() + self.emotion_labels = ['happy', 'sad', 'angry', 'neutral', 'surprised'] + + def train_model(self, emotion_data, labels): + self.model.fit(emotion_data, labels) + + def predict_emotion(self, data): + return self.model.predict(np.array(data).reshape(1, -1)) + + def analyze_emotion(self, user_id): + user = user_profile[user_id] + emotion_data = user['emotion_data'] + predicted_emotion = self.predict_emotion(emotion_data) + return self.emotion_labels[predicted_emotion[0]] + + def adjust_meeting_based_on_emotion(self, user_id, meeting_id): + emotion = self.analyze_emotion(user_id) + meeting = meeting_data[meeting_id] + + if emotion == 'happy': + meeting['duration'] += 10 + elif emotion == 'sad': + meeting['duration'] -= 10 + elif emotion == 'angry': + meeting['duration'] -= 15 + elif emotion == 'surprised': + meeting['duration'] += 5 + + return meeting +``` \ No newline at end of file diff --git a/ethical_considerations.py b/ethical_considerations.py new file mode 100644 index 0000000..d6ae667 --- /dev/null +++ b/ethical_considerations.py @@ -0,0 +1,41 @@ +```python +import json + +class EthicalConsiderations: + def __init__(self, user_profile): + self.user_profile = user_profile + + def consider_ethics(self, meeting_data): + ethical_issues = self.identify_ethical_issues(meeting_data) + if ethical_issues: + self.notify_user(ethical_issues) + + def identify_ethical_issues(self, meeting_data): + ethical_issues = [] + for meeting in meeting_data: + if meeting['duration'] > self.user_profile['max_meeting_duration']: + ethical_issues.append(f"Meeting {meeting['id']} exceeds maximum duration.") + if meeting['participants'] > self.user_profile['max_participants']: + ethical_issues.append(f"Meeting {meeting['id']} exceeds maximum participants.") + return ethical_issues + + def notify_user(self, ethical_issues): + notification = { + 'type': 'ethical_issues', + 'message': '\n'.join(ethical_issues) + } + with open('ai_assistant/email_notifications.py', 'a') as file: + file.write(json.dumps(notification)) + +if __name__ == "__main__": + user_profile = { + 'max_meeting_duration': 60, + 'max_participants': 10 + } + meeting_data = [ + {'id': 1, 'duration': 120, 'participants': 12}, + {'id': 2, 'duration': 30, 'participants': 5} + ] + ethical_considerations = EthicalConsiderations(user_profile) + ethical_considerations.consider_ethics(meeting_data) +``` \ No newline at end of file diff --git a/executive_assistant_ai/README.md b/executive_assistant_ai/README.md deleted file mode 100755 index aa71a62..0000000 --- a/executive_assistant_ai/README.md +++ /dev/null @@ -1,45 +0,0 @@ -# Executive Assistant AI - -This is an AI executive scheduling assistant that is robust, intuitive, and human-like. It is designed to be all-encompassing and useful, with a wide range of features. - -## Features - -- Schedule Management -- Email Management -- Meeting Management -- Task Management -- Reminder Management -- Note Taking -- Communication Management -- Report Generation -- Expense Tracking -- Travel Planning -- Time Tracking - -## Installation - -Please follow the instructions in the `installation_instructions.txt` file to install and setup the application. - -## Usage - -To start the application, run the following command: - -```bash -python main.py -``` - -## Testing - -To run the tests, execute the following command: - -```bash -python -m unittest discover tests -``` - -## Contributing - -Please read `CONTRIBUTING.md` for details on our code of conduct, and the process for submitting pull requests to us. - -## License - -This project is licensed under the MIT License - see the `LICENSE.md` file for details. \ No newline at end of file diff --git a/executive_assistant_ai/assistant.py b/executive_assistant_ai/assistant.py deleted file mode 100755 index 9758c0b..0000000 --- a/executive_assistant_ai/assistant.py +++ /dev/null @@ -1,50 +0,0 @@ -```python -import os -from features import schedule_manager, email_manager, meeting_manager, task_manager, reminder_manager, note_taker, communication_manager, report_generator, expense_tracker, travel_planner, time_tracker -from utils import data_cleaner, data_validator, error_handler, logger, ai_enhancer, humanizer - -class ExecutiveAssistant: - def __init__(self): - self.schedule_manager = schedule_manager.ScheduleManager() - self.email_manager = email_manager.EmailManager() - self.meeting_manager = meeting_manager.MeetingManager() - self.task_manager = task_manager.TaskManager() - self.reminder_manager = reminder_manager.ReminderManager() - self.note_taker = note_taker.NoteTaker() - self.communication_manager = communication_manager.CommunicationManager() - self.report_generator = report_generator.ReportGenerator() - self.expense_tracker = expense_tracker.ExpenseTracker() - self.travel_planner = travel_planner.TravelPlanner() - self.time_tracker = time_tracker.TimeTracker() - self.data_cleaner = data_cleaner.DataCleaner() - self.data_validator = data_validator.DataValidator() - self.error_handler = error_handler.ErrorHandler() - self.logger = logger.Logger() - self.ai_enhancer = ai_enhancer.AIEnhancer() - self.humanizer = humanizer.Humanizer() - - def run(self): - try: - self.logger.log("Assistant started.") - self.ai_enhancer.enhance() - self.humanizer.humanize() - self.schedule_manager.run() - self.email_manager.run() - self.meeting_manager.run() - self.task_manager.run() - self.reminder_manager.run() - self.note_taker.run() - self.communication_manager.run() - self.report_generator.run() - self.expense_tracker.run() - self.travel_planner.run() - self.time_tracker.run() - self.logger.log("Assistant finished.") - except Exception as e: - self.error_handler.handle(e) - self.logger.log("Assistant encountered an error.") - -if __name__ == "__main__": - assistant = ExecutiveAssistant() - assistant.run() -``` \ No newline at end of file diff --git a/executive_assistant_ai/features/communication_manager.py b/executive_assistant_ai/features/communication_manager.py deleted file mode 100755 index 8bbb333..0000000 --- a/executive_assistant_ai/features/communication_manager.py +++ /dev/null @@ -1,37 +0,0 @@ -```python -import smtplib -from email.mime.multipart import MIMEMultipart -from email.mime.text import MIMEText -from executive_assistant_ai.utils.logger import Logger -from executive_assistant_ai.utils.error_handler import ErrorHandler - -class CommunicationManager: - def __init__(self, email, password): - self.email = email - self.password = password - self.logger = Logger(__name__) - self.error_handler = ErrorHandler(__name__) - - def send_email(self, to_email, subject, message): - try: - msg = MIMEMultipart() - msg['From'] = self.email - msg['To'] = to_email - msg['Subject'] = subject - msg.attach(MIMEText(message, 'plain')) - - server = smtplib.SMTP('smtp.gmail.com', 587) - server.starttls() - server.login(self.email, self.password) - text = msg.as_string() - server.sendmail(self.email, to_email, text) - server.quit() - - self.logger.log(f"Email sent to {to_email}") - except Exception as e: - self.error_handler.handle_error(e, "Error in sending email") - - def receive_email(self): - # This function will be implemented in the future - pass -``` \ No newline at end of file diff --git a/executive_assistant_ai/features/email_manager.py b/executive_assistant_ai/features/email_manager.py deleted file mode 100755 index 841c023..0000000 --- a/executive_assistant_ai/features/email_manager.py +++ /dev/null @@ -1,34 +0,0 @@ -```python -import smtplib -from email.mime.multipart import MIMEMultipart -from email.mime.text import MIMEText -from executive_assistant_ai.utils.data_validator import validate_email -from executive_assistant_ai.utils.error_handler import handle_error - -class EmailManager: - def __init__(self, email, password): - self.email = email - self.password = password - self.server = smtplib.SMTP('smtp.gmail.com', 587) - - def setup(self): - self.server.starttls() - self.server.login(self.email, self.password) - - def send_email(self, to_email, subject, message): - if not validate_email(to_email): - handle_error("Invalid email address") - return - - msg = MIMEMultipart() - msg['From'] = self.email - msg['To'] = to_email - msg['Subject'] = subject - msg.attach(MIMEText(message, 'plain')) - - self.server.send_message(msg) - del msg - - def close(self): - self.server.quit() -``` \ No newline at end of file diff --git a/executive_assistant_ai/features/expense_tracker.py b/executive_assistant_ai/features/expense_tracker.py deleted file mode 100755 index b40fbe7..0000000 --- a/executive_assistant_ai/features/expense_tracker.py +++ /dev/null @@ -1,32 +0,0 @@ -```python -import datetime -from executive_assistant_ai.utils.data_validator import validate_expense_data -from executive_assistant_ai.utils.error_handler import handle_error -from executive_assistant_ai.utils.logger import log - -class ExpenseTracker: - def __init__(self): - self.expenses = [] - - def add_expense(self, expense_data): - try: - if validate_expense_data(expense_data): - self.expenses.append(expense_data) - log(f"Expense added: {expense_data}") - else: - raise ValueError("Invalid expense data") - except Exception as e: - handle_error(e) - - def get_expenses(self, start_date=None, end_date=None): - if start_date is None: - start_date = datetime.datetime.min - if end_date is None: - end_date = datetime.datetime.max - - return [expense for expense in self.expenses if start_date <= expense['date'] <= end_date] - - def get_total_expenses(self, start_date=None, end_date=None): - expenses = self.get_expenses(start_date, end_date) - return sum(expense['amount'] for expense in expenses) -``` \ No newline at end of file diff --git a/executive_assistant_ai/features/meeting_manager.py b/executive_assistant_ai/features/meeting_manager.py deleted file mode 100755 index 990f9e7..0000000 --- a/executive_assistant_ai/features/meeting_manager.py +++ /dev/null @@ -1,53 +0,0 @@ -```python -import datetime -from executive_assistant_ai.utils.data_validator import validate_meeting_data -from executive_assistant_ai.utils.error_handler import handle_error -from executive_assistant_ai.utils.logger import log - -class MeetingManager: - def __init__(self): - self.meetings = [] - - def schedule_meeting(self, meeting_data): - try: - if validate_meeting_data(meeting_data): - self.meetings.append(meeting_data) - log("Meeting scheduled successfully.") - else: - handle_error("Invalid meeting data.") - except Exception as e: - handle_error(str(e)) - - def cancel_meeting(self, meeting_id): - try: - self.meetings = [meeting for meeting in self.meetings if meeting['id'] != meeting_id] - log("Meeting cancelled successfully.") - except Exception as e: - handle_error(str(e)) - - def reschedule_meeting(self, meeting_id, new_time): - try: - for meeting in self.meetings: - if meeting['id'] == meeting_id: - meeting['time'] = new_time - log("Meeting rescheduled successfully.") - break - else: - handle_error("Meeting not found.") - except Exception as e: - handle_error(str(e)) - - def get_upcoming_meetings(self): - try: - upcoming_meetings = [meeting for meeting in self.meetings if meeting['time'] > datetime.datetime.now()] - return upcoming_meetings - except Exception as e: - handle_error(str(e)) - - def get_past_meetings(self): - try: - past_meetings = [meeting for meeting in self.meetings if meeting['time'] < datetime.datetime.now()] - return past_meetings - except Exception as e: - handle_error(str(e)) -``` \ No newline at end of file diff --git a/executive_assistant_ai/features/note_taker.py b/executive_assistant_ai/features/note_taker.py deleted file mode 100755 index a98c799..0000000 --- a/executive_assistant_ai/features/note_taker.py +++ /dev/null @@ -1,50 +0,0 @@ -```python -import os -from executive_assistant_ai.utils import data_validator, data_cleaner, logger, ai_enhancer, humanizer - -class NoteTaker: - def __init__(self): - self.notes = [] - self.logger = logger.Logger("note_taker") - - def take_note(self, note): - if not data_validator.validate_note(note): - self.logger.log("Invalid note data") - return - - note = data_cleaner.clean_note(note) - note = ai_enhancer.enhance_note(note) - note = humanizer.humanize_note(note) - - self.notes.append(note) - self.logger.log("Note taken") - - def get_notes(self): - return self.notes - - def delete_note(self, note_id): - for i, note in enumerate(self.notes): - if note['id'] == note_id: - del self.notes[i] - self.logger.log("Note deleted") - return - - self.logger.log("Note not found") - - def update_note(self, note_id, new_note): - for i, note in enumerate(self.notes): - if note['id'] == note_id: - if not data_validator.validate_note(new_note): - self.logger.log("Invalid note data") - return - - new_note = data_cleaner.clean_note(new_note) - new_note = ai_enhancer.enhance_note(new_note) - new_note = humanizer.humanize_note(new_note) - - self.notes[i] = new_note - self.logger.log("Note updated") - return - - self.logger.log("Note not found") -``` \ No newline at end of file diff --git a/executive_assistant_ai/features/reminder_manager.py b/executive_assistant_ai/features/reminder_manager.py deleted file mode 100755 index 157b660..0000000 --- a/executive_assistant_ai/features/reminder_manager.py +++ /dev/null @@ -1,38 +0,0 @@ -```python -import datetime -from executive_assistant_ai.utils import data_validator, error_handler, logger - -class ReminderManager: - def __init__(self): - self.reminders = [] - - def add_reminder(self, reminder_data): - if data_validator.validate_reminder_data(reminder_data): - self.reminders.append(reminder_data) - logger.log("Reminder added successfully.") - else: - error_handler.handle_error("Invalid reminder data.") - - def remove_reminder(self, reminder_id): - for reminder in self.reminders: - if reminder['id'] == reminder_id: - self.reminders.remove(reminder) - logger.log("Reminder removed successfully.") - return - error_handler.handle_error("Reminder not found.") - - def get_reminders(self): - return self.reminders - - def check_reminders(self): - current_time = datetime.datetime.now() - for reminder in self.reminders: - if reminder['time'] <= current_time: - self.notify_user(reminder) - self.remove_reminder(reminder['id']) - - def notify_user(self, reminder): - # This function should be implemented to notify the user about the reminder. - # It could be an email, a popup, a sound, etc. - pass -``` \ No newline at end of file diff --git a/executive_assistant_ai/features/report_generator.py b/executive_assistant_ai/features/report_generator.py deleted file mode 100755 index 79adad3..0000000 --- a/executive_assistant_ai/features/report_generator.py +++ /dev/null @@ -1,34 +0,0 @@ -```python -import pandas as pd -from executive_assistant_ai.utils import data_cleaner, data_validator, logger - -class ReportGenerator: - def __init__(self): - self.logger = logger.Logger("ReportGenerator") - - def generate_report(self, data, report_type): - self.logger.log("Generating report...") - - cleaned_data = data_cleaner.clean(data) - if not data_validator.validate(cleaned_data): - self.logger.log("Invalid data, cannot generate report.") - return None - - if report_type == "summary": - return self._generate_summary_report(cleaned_data) - elif report_type == "detailed": - return self._generate_detailed_report(cleaned_data) - else: - self.logger.log("Invalid report type.") - return None - - def _generate_summary_report(self, data): - self.logger.log("Generating summary report...") - summary = data.describe() - return summary - - def _generate_detailed_report(self, data): - self.logger.log("Generating detailed report...") - detailed_report = data.groupby(['Category']).sum().sort_values('Amount', ascending=False) - return detailed_report -``` \ No newline at end of file diff --git a/executive_assistant_ai/features/schedule_manager.py b/executive_assistant_ai/features/schedule_manager.py deleted file mode 100755 index 0bfb4c7..0000000 --- a/executive_assistant_ai/features/schedule_manager.py +++ /dev/null @@ -1,57 +0,0 @@ -```python -import datetime -from executive_assistant_ai.utils import data_validator, data_cleaner, error_handler, logger - -class ScheduleManager: - def __init__(self): - self.schedule_data = [] - - def add_event(self, event): - try: - data_validator.validate_event_data(event) - self.schedule_data.append(event) - logger.log("Event added successfully.") - except Exception as e: - error_handler.handle_error(e) - - def remove_event(self, event_id): - try: - self.schedule_data = [event for event in self.schedule_data if event['id'] != event_id] - logger.log("Event removed successfully.") - except Exception as e: - error_handler.handle_error(e) - - def update_event(self, event_id, updated_event): - try: - data_validator.validate_event_data(updated_event) - for event in self.schedule_data: - if event['id'] == event_id: - event.update(updated_event) - logger.log("Event updated successfully.") - break - except Exception as e: - error_handler.handle_error(e) - - def get_event(self, event_id): - try: - for event in self.schedule_data: - if event['id'] == event_id: - return event - logger.log("Event not found.") - except Exception as e: - error_handler.handle_error(e) - - def get_schedule(self, date=datetime.date.today()): - try: - schedule = [event for event in self.schedule_data if event['date'] == date] - return schedule - except Exception as e: - error_handler.handle_error(e) - - def clean_schedule(self): - try: - self.schedule_data = data_cleaner.clean_data(self.schedule_data) - logger.log("Schedule cleaned successfully.") - except Exception as e: - error_handler.handle_error(e) -``` \ No newline at end of file diff --git a/executive_assistant_ai/features/task_manager.py b/executive_assistant_ai/features/task_manager.py deleted file mode 100755 index f844188..0000000 --- a/executive_assistant_ai/features/task_manager.py +++ /dev/null @@ -1,51 +0,0 @@ -```python -import datetime -from executive_assistant_ai.utils.data_validator import validate_task -from executive_assistant_ai.utils.error_handler import handle_error -from executive_assistant_ai.utils.logger import log - -class TaskManager: - def __init__(self): - self.tasks = [] - - def add_task(self, task): - try: - validate_task(task) - self.tasks.append(task) - log(f"Task added: {task}") - except Exception as e: - handle_error(e) - - def remove_task(self, task_id): - try: - task_to_remove = next(task for task in self.tasks if task['id'] == task_id) - self.tasks.remove(task_to_remove) - log(f"Task removed: {task_to_remove}") - except Exception as e: - handle_error(e) - - def update_task(self, task_id, updated_task): - try: - validate_task(updated_task) - task_to_update = next(task for task in self.tasks if task['id'] == task_id) - task_to_update.update(updated_task) - log(f"Task updated: {task_to_update}") - except Exception as e: - handle_error(e) - - def get_tasks(self): - return self.tasks - - def get_task_by_id(self, task_id): - try: - task = next(task for task in self.tasks if task['id'] == task_id) - return task - except Exception as e: - handle_error(e) - - def get_tasks_by_date(self, date): - if not isinstance(date, datetime.date): - raise ValueError("Date must be a datetime.date object") - tasks_on_date = [task for task in self.tasks if task['date'] == date] - return tasks_on_date -``` \ No newline at end of file diff --git a/executive_assistant_ai/features/time_tracker.py b/executive_assistant_ai/features/time_tracker.py deleted file mode 100755 index 2ec6bb9..0000000 --- a/executive_assistant_ai/features/time_tracker.py +++ /dev/null @@ -1,45 +0,0 @@ -```python -import datetime -from executive_assistant_ai.utils import data_validator -from executive_assistant_ai.utils import error_handler -from executive_assistant_ai.utils import logger - -class TimeTracker: - def __init__(self): - self.start_time = None - self.end_time = None - self.total_time = None - - def start_tracking(self): - self.start_time = datetime.datetime.now() - logger.log("Time tracking started at {}".format(self.start_time)) - - def stop_tracking(self): - if self.start_time is None: - error_handler.handle_error("Time tracking has not been started yet.") - return - - self.end_time = datetime.datetime.now() - self.total_time = self.end_time - self.start_time - logger.log("Time tracking stopped at {}. Total time: {}".format(self.end_time, self.total_time)) - - def get_total_time(self): - if self.total_time is None: - error_handler.handle_error("Time tracking has not been started or stopped yet.") - return - - return self.total_time - - def reset(self): - self.start_time = None - self.end_time = None - self.total_time = None - logger.log("Time tracking reset.") - - def validate_time(self, time): - if not data_validator.validate_time(time): - error_handler.handle_error("Invalid time format.") - return False - - return True -``` \ No newline at end of file diff --git a/executive_assistant_ai/features/travel_planner.py b/executive_assistant_ai/features/travel_planner.py deleted file mode 100755 index f600076..0000000 --- a/executive_assistant_ai/features/travel_planner.py +++ /dev/null @@ -1,55 +0,0 @@ -```python -import datetime -from executive_assistant_ai.utils import data_validator -from executive_assistant_ai.utils import data_cleaner -from executive_assistant_ai.utils import error_handler -from executive_assistant_ai.utils import logger - -class TravelPlanner: - def __init__(self): - self.travel_data = [] - - def add_travel(self, travel): - try: - cleaned_travel = data_cleaner.clean(travel) - validated_travel = data_validator.validate(cleaned_travel) - self.travel_data.append(validated_travel) - logger.log("Travel added successfully.") - except Exception as e: - error_handler.handle(e) - - def get_travel(self, date): - try: - date = datetime.datetime.strptime(date, "%Y-%m-%d") - travel = [travel for travel in self.travel_data if travel['date'] == date] - if travel: - return travel - else: - logger.log("No travel found for the given date.") - except Exception as e: - error_handler.handle(e) - - def update_travel(self, travel_id, updated_travel): - try: - for travel in self.travel_data: - if travel['id'] == travel_id: - cleaned_travel = data_cleaner.clean(updated_travel) - validated_travel = data_validator.validate(cleaned_travel) - travel.update(validated_travel) - logger.log("Travel updated successfully.") - return - logger.log("No travel found with the given id.") - except Exception as e: - error_handler.handle(e) - - def delete_travel(self, travel_id): - try: - for travel in self.travel_data: - if travel['id'] == travel_id: - self.travel_data.remove(travel) - logger.log("Travel deleted successfully.") - return - logger.log("No travel found with the given id.") - except Exception as e: - error_handler.handle(e) -``` \ No newline at end of file diff --git a/executive_assistant_ai/installation_instructions.txt b/executive_assistant_ai/installation_instructions.txt deleted file mode 100755 index 3960d1c..0000000 --- a/executive_assistant_ai/installation_instructions.txt +++ /dev/null @@ -1,32 +0,0 @@ -# Installation Instructions for Executive Assistant AI - -1. Ensure you have Python 3.7 or later installed on your system. You can download it from https://www.python.org/downloads/ - -2. Clone the repository from GitHub: -``` -git clone https://github.com/yourusername/executive_assistant_ai.git -``` - -3. Navigate to the cloned repository: -``` -cd executive_assistant_ai -``` - -4. Install the required dependencies: -``` -pip install -r requirements.txt -``` - -5. Run the setup file to configure the application: -``` -python setup.py -``` - -6. To start the application, run the main file: -``` -python main.py -``` - -7. Follow the prompts to interact with the AI assistant. - -Note: For detailed usage instructions and feature descriptions, please refer to the README.md file in the repository. \ No newline at end of file diff --git a/executive_assistant_ai/main.py b/executive_assistant_ai/main.py deleted file mode 100755 index 42a9695..0000000 --- a/executive_assistant_ai/main.py +++ /dev/null @@ -1,16 +0,0 @@ -```python -import sys -from assistant import Assistant - -def main(): - try: - assistant = Assistant() - assistant.setup() - assistant.run() - except Exception as e: - print(f"An error occurred: {e}") - sys.exit(1) - -if __name__ == "__main__": - main() -``` \ No newline at end of file diff --git a/executive_assistant_ai/setup.py b/executive_assistant_ai/setup.py deleted file mode 100755 index 0a83555..0000000 --- a/executive_assistant_ai/setup.py +++ /dev/null @@ -1,32 +0,0 @@ -from setuptools import setup, find_packages - -setup( - name='executive_assistant_ai', - version='1.0', - description='A robust and intuitive AI executive scheduling assistant', - author='Your Name', - author_email='your.email@example.com', - url='https://github.com/yourusername/executive_assistant_ai', - packages=find_packages(), - install_requires=[ - 'numpy', - 'pandas', - 'scikit-learn', - 'nltk', - 'tensorflow', - 'keras', - 'flask', - 'pytest', - ], - entry_points={ - 'console_scripts': [ - 'executive_assistant_ai=executive_assistant_ai.main:main', - ], - }, - classifiers=[ - 'Development Status :: 5 - Production/Stable', - 'Intended Audience :: End Users/Desktop', - 'Natural Language :: English', - 'Programming Language :: Python :: 3.8', - ], -) \ No newline at end of file diff --git a/executive_assistant_ai/tests/test_assistant.py b/executive_assistant_ai/tests/test_assistant.py deleted file mode 100755 index a6580b1..0000000 --- a/executive_assistant_ai/tests/test_assistant.py +++ /dev/null @@ -1,41 +0,0 @@ -import unittest -from executive_assistant_ai.assistant import Assistant - -class TestAssistant(unittest.TestCase): - - def setUp(self): - self.assistant = Assistant() - - def test_init(self): - self.assertIsNotNone(self.assistant) - - def test_run(self): - self.assistant.run() - self.assertTrue(self.assistant.is_running) - - def test_setup(self): - self.assistant.setup() - self.assertTrue(self.assistant.is_setup) - - def test_clean(self): - self.assistant.clean() - self.assertTrue(self.assistant.is_clean) - - def test_validate(self): - self.assistant.validate() - self.assertTrue(self.assistant.is_valid) - - def test_log(self): - self.assistant.log("Test log message") - self.assertIn("Test log message", self.assistant.log_messages) - - def test_enhance(self): - self.assistant.enhance() - self.assertTrue(self.assistant.is_enhanced) - - def test_humanize(self): - self.assistant.humanize() - self.assertTrue(self.assistant.is_humanized) - -if __name__ == '__main__': - unittest.main() \ No newline at end of file diff --git a/executive_assistant_ai/tests/test_features.py b/executive_assistant_ai/tests/test_features.py deleted file mode 100755 index a44aa3e..0000000 --- a/executive_assistant_ai/tests/test_features.py +++ /dev/null @@ -1,64 +0,0 @@ -import unittest -from executive_assistant_ai.features import schedule_manager, email_manager, meeting_manager, task_manager, reminder_manager, note_taker, communication_manager, report_generator, expense_tracker, travel_planner, time_tracker - -class TestFeatures(unittest.TestCase): - - def setUp(self): - self.schedule_manager = schedule_manager.ScheduleManager() - self.email_manager = email_manager.EmailManager() - self.meeting_manager = meeting_manager.MeetingManager() - self.task_manager = task_manager.TaskManager() - self.reminder_manager = reminder_manager.ReminderManager() - self.note_taker = note_taker.NoteTaker() - self.communication_manager = communication_manager.CommunicationManager() - self.report_generator = report_generator.ReportGenerator() - self.expense_tracker = expense_tracker.ExpenseTracker() - self.travel_planner = travel_planner.TravelPlanner() - self.time_tracker = time_tracker.TimeTracker() - - def test_schedule_manager(self): - self.assertIsNotNone(self.schedule_manager) - # Add more tests specific to schedule manager - - def test_email_manager(self): - self.assertIsNotNone(self.email_manager) - # Add more tests specific to email manager - - def test_meeting_manager(self): - self.assertIsNotNone(self.meeting_manager) - # Add more tests specific to meeting manager - - def test_task_manager(self): - self.assertIsNotNone(self.task_manager) - # Add more tests specific to task manager - - def test_reminder_manager(self): - self.assertIsNotNone(self.reminder_manager) - # Add more tests specific to reminder manager - - def test_note_taker(self): - self.assertIsNotNone(self.note_taker) - # Add more tests specific to note taker - - def test_communication_manager(self): - self.assertIsNotNone(self.communication_manager) - # Add more tests specific to communication manager - - def test_report_generator(self): - self.assertIsNotNone(self.report_generator) - # Add more tests specific to report generator - - def test_expense_tracker(self): - self.assertIsNotNone(self.expense_tracker) - # Add more tests specific to expense tracker - - def test_travel_planner(self): - self.assertIsNotNone(self.travel_planner) - # Add more tests specific to travel planner - - def test_time_tracker(self): - self.assertIsNotNone(self.time_tracker) - # Add more tests specific to time tracker - -if __name__ == '__main__': - unittest.main() \ No newline at end of file diff --git a/executive_assistant_ai/tests/test_utils.py b/executive_assistant_ai/tests/test_utils.py deleted file mode 100755 index 2a82e3c..0000000 --- a/executive_assistant_ai/tests/test_utils.py +++ /dev/null @@ -1,41 +0,0 @@ -import unittest -from executive_assistant_ai.utils import data_cleaner, data_validator, error_handler, logger, ai_enhancer, humanizer - -class TestUtils(unittest.TestCase): - - def setUp(self): - self.data_cleaner = data_cleaner.DataCleaner() - self.data_validator = data_validator.DataValidator() - self.error_handler = error_handler.ErrorHandler() - self.logger = logger.Logger() - self.ai_enhancer = ai_enhancer.AIEnhancer() - self.humanizer = humanizer.Humanizer() - - def test_data_cleaner(self): - dirty_data = {"name": " John Doe ", "email": " johndoe@gmail.com "} - cleaned_data = self.data_cleaner.clean(dirty_data) - self.assertEqual(cleaned_data, {"name": "John Doe", "email": "johndoe@gmail.com"}) - - def test_data_validator(self): - valid_data = {"name": "John Doe", "email": "johndoe@gmail.com"} - self.assertTrue(self.data_validator.validate(valid_data)) - - def test_error_handler(self): - with self.assertRaises(Exception): - self.error_handler.handle("Test error") - - def test_logger(self): - self.assertIsNone(self.logger.log("Test log")) - - def test_ai_enhancer(self): - basic_response = "Hello, how can I assist you today?" - enhanced_response = self.ai_enhancer.enhance(basic_response) - self.assertNotEqual(basic_response, enhanced_response) - - def test_humanizer(self): - basic_response = "Hello, how can I assist you today?" - humanized_response = self.humanizer.humanize(basic_response) - self.assertNotEqual(basic_response, humanized_response) - -if __name__ == '__main__': - unittest.main() \ No newline at end of file diff --git a/executive_assistant_ai/utils/ai_enhancer.py b/executive_assistant_ai/utils/ai_enhancer.py deleted file mode 100755 index 7fa71ea..0000000 --- a/executive_assistant_ai/utils/ai_enhancer.py +++ /dev/null @@ -1,26 +0,0 @@ -```python -import tensorflow as tf -from tensorflow import keras -from tensorflow.keras import layers - -class AIEnhancer: - def __init__(self): - self.model = self.build_model() - - def build_model(self): - model = keras.Sequential() - model.add(layers.Dense(64, activation='relu')) - model.add(layers.Dense(64, activation='relu')) - model.add(layers.Dense(10, activation='softmax')) - model.compile(optimizer=tf.keras.optimizers.Adam(0.01), - loss='categorical_crossentropy', - metrics=['accuracy']) - return model - - def train_model(self, train_data, train_labels): - self.model.fit(train_data, train_labels, epochs=10, batch_size=32) - - def enhance(self, data): - prediction = self.model.predict(data) - return prediction -``` \ No newline at end of file diff --git a/executive_assistant_ai/utils/data_cleaner.py b/executive_assistant_ai/utils/data_cleaner.py deleted file mode 100755 index 6a45bb1..0000000 --- a/executive_assistant_ai/utils/data_cleaner.py +++ /dev/null @@ -1,84 +0,0 @@ -```python -import re - -class DataCleaner: - def __init__(self): - pass - - def clean_user_data(self, user_data): - cleaned_data = {} - for key, value in user_data.items(): - cleaned_data[key] = self._clean_string(value) - return cleaned_data - - def clean_schedule_data(self, schedule_data): - cleaned_data = {} - for key, value in schedule_data.items(): - cleaned_data[key] = self._clean_string(value) - return cleaned_data - - def clean_email_data(self, email_data): - cleaned_data = {} - for key, value in email_data.items(): - cleaned_data[key] = self._clean_string(value) - return cleaned_data - - def clean_meeting_data(self, meeting_data): - cleaned_data = {} - for key, value in meeting_data.items(): - cleaned_data[key] = self._clean_string(value) - return cleaned_data - - def clean_task_data(self, task_data): - cleaned_data = {} - for key, value in task_data.items(): - cleaned_data[key] = self._clean_string(value) - return cleaned_data - - def clean_reminder_data(self, reminder_data): - cleaned_data = {} - for key, value in reminder_data.items(): - cleaned_data[key] = self._clean_string(value) - return cleaned_data - - def clean_note_data(self, note_data): - cleaned_data = {} - for key, value in note_data.items(): - cleaned_data[key] = self._clean_string(value) - return cleaned_data - - def clean_communication_data(self, communication_data): - cleaned_data = {} - for key, value in communication_data.items(): - cleaned_data[key] = self._clean_string(value) - return cleaned_data - - def clean_report_data(self, report_data): - cleaned_data = {} - for key, value in report_data.items(): - cleaned_data[key] = self._clean_string(value) - return cleaned_data - - def clean_expense_data(self, expense_data): - cleaned_data = {} - for key, value in expense_data.items(): - cleaned_data[key] = self._clean_string(value) - return cleaned_data - - def clean_travel_data(self, travel_data): - cleaned_data = {} - for key, value in travel_data.items(): - cleaned_data[key] = self._clean_string(value) - return cleaned_data - - def clean_time_data(self, time_data): - cleaned_data = {} - for key, value in time_data.items(): - cleaned_data[key] = self._clean_string(value) - return cleaned_data - - def _clean_string(self, string): - string = re.sub(r'\s+', ' ', string) # remove extra spaces - string = string.strip() # remove leading and trailing spaces - return string -``` \ No newline at end of file diff --git a/executive_assistant_ai/utils/data_validator.py b/executive_assistant_ai/utils/data_validator.py deleted file mode 100755 index 851d791..0000000 --- a/executive_assistant_ai/utils/data_validator.py +++ /dev/null @@ -1,41 +0,0 @@ -```python -import re - -class DataValidator: - def __init__(self): - pass - - def validate_email(self, email): - email_regex = '^[a-z0-9]+[\._]?[a-z0-9]+[@]\w+[.]\w{2,3}$' - if(re.search(email_regex,email)): - return True - else: - return False - - def validate_date(self, date): - date_regex = '^(0[1-9]|1[0-2])/(0[1-9]|1[0-9]|2[0-9]|3[0-1])/[0-9]{4}$' - if(re.search(date_regex,date)): - return True - else: - return False - - def validate_time(self, time): - time_regex = '^([0-1]?[0-9]|2[0-3]):[0-5][0-9]$' - if(re.search(time_regex,time)): - return True - else: - return False - - def validate_phone(self, phone): - phone_regex = '^[+]?[0-9]{1,4}?[-.]?[0-9]{1,8}$' - if(re.search(phone_regex,phone)): - return True - else: - return False - - def validate_text(self, text): - if len(text) > 0: - return True - else: - return False -``` \ No newline at end of file diff --git a/executive_assistant_ai/utils/error_handler.py b/executive_assistant_ai/utils/error_handler.py deleted file mode 100755 index 2890ce4..0000000 --- a/executive_assistant_ai/utils/error_handler.py +++ /dev/null @@ -1,22 +0,0 @@ -```python -import logging -from executive_assistant_ai.utils.logger import Logger - -class ErrorHandler: - def __init__(self): - self.logger = Logger(__name__) - - def handle_error(self, error): - self.logger.log_error(error) - self._display_error_message(error) - - def _display_error_message(self, error): - print(f"An error occurred: {str(error)}") - - def handle_exception(self, exception): - self.logger.log_exception(exception) - self._display_exception_message(exception) - - def _display_exception_message(self, exception): - print(f"An exception occurred: {str(exception)}") -``` \ No newline at end of file diff --git a/executive_assistant_ai/utils/humanizer.py b/executive_assistant_ai/utils/humanizer.py deleted file mode 100755 index 7b8eb4b..0000000 --- a/executive_assistant_ai/utils/humanizer.py +++ /dev/null @@ -1,28 +0,0 @@ -```python -import random - -class Humanizer: - def __init__(self): - self.greetings = ["Hello", "Hi", "Hey", "Good day", "Howdy"] - self.affirmations = ["Sure", "Of course", "Absolutely", "Certainly"] - self.goodbyes = ["Goodbye", "See you later", "Take care", "Farewell"] - self.apologies = ["I'm sorry", "My apologies", "I apologize", "Pardon me"] - - def greet(self): - return random.choice(self.greetings) - - def affirm(self): - return random.choice(self.affirmations) - - def say_goodbye(self): - return random.choice(self.goodbyes) - - def apologize(self): - return random.choice(self.apologies) - - def humanize_response(self, response): - humanized_response = response - if "error" in response.lower(): - humanized_response = self.apologize() + ", " + response - return humanized_response -``` \ No newline at end of file diff --git a/executive_assistant_ai/utils/logger.py b/executive_assistant_ai/utils/logger.py deleted file mode 100755 index 539cd2e..0000000 --- a/executive_assistant_ai/utils/logger.py +++ /dev/null @@ -1,25 +0,0 @@ -import logging - -class Logger: - def __init__(self, name): - self.logger = logging.getLogger(name) - self.logger.setLevel(logging.DEBUG) - handler = logging.StreamHandler() - formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') - handler.setFormatter(formatter) - self.logger.addHandler(handler) - - def debug(self, message): - self.logger.debug(message) - - def info(self, message): - self.logger.info(message) - - def warning(self, message): - self.logger.warning(message) - - def error(self, message): - self.logger.error(message) - - def critical(self, message): - self.logger.critical(message) \ No newline at end of file diff --git a/expense_management.py b/expense_management.py new file mode 100644 index 0000000..643f4d0 --- /dev/null +++ b/expense_management.py @@ -0,0 +1,43 @@ +```python +import pandas as pd +from datetime import datetime + +class ExpenseManagement: + def __init__(self, user_profile, expense_data): + self.user_profile = user_profile + self.expense_data = expense_data + + def load_expenses(self): + self.expenses = pd.read_csv(self.expense_data) + + def categorize_expenses(self): + self.expenses['category'] = self.expenses['description'].apply(self._get_category) + + def _get_category(self, description): + # This function can be improved with NLP for better categorization + if 'travel' in description.lower(): + return 'Travel' + elif 'food' in description.lower(): + return 'Food' + else: + return 'Other' + + def calculate_monthly_expenses(self): + self.expenses['date'] = pd.to_datetime(self.expenses['date']) + self.expenses['month'] = self.expenses['date'].dt.month + monthly_expenses = self.expenses.groupby('month').sum() + return monthly_expenses + + def alert_if_over_budget(self): + monthly_expenses = self.calculate_monthly_expenses() + for month, expense in monthly_expenses.items(): + if expense > self.user_profile['budget']: + print(f'Alert: You are over budget for month {month} by {expense - self.user_profile["budget"]}') + +if __name__ == "__main__": + user_profile = {'budget': 1000} + expense_manager = ExpenseManagement(user_profile, 'expense_data.csv') + expense_manager.load_expenses() + expense_manager.categorize_expenses() + expense_manager.alert_if_over_budget() +``` \ No newline at end of file diff --git a/google_meets.py b/google_meets.py new file mode 100644 index 0000000..711f72d --- /dev/null +++ b/google_meets.py @@ -0,0 +1,61 @@ +```python +import googleapiclient.discovery +from google.oauth2 import service_account + +# Load the user_profile and meeting_data +from shared_dependencies import user_profile, meeting_data + +# Define the Google Meet class +class GoogleMeet: + def __init__(self, user_profile, meeting_data): + self.user_profile = user_profile + self.meeting_data = meeting_data + self.service = self.authenticate_google_account() + + def authenticate_google_account(self): + credentials = service_account.Credentials.from_service_account_file( + self.user_profile['google_service_account_file'], + scopes=['https://www.googleapis.com/auth/calendar'] + ) + service = googleapiclient.discovery.build('calendar', 'v3', credentials=credentials) + return service + + def create_google_meet(self): + event = { + 'summary': self.meeting_data['title'], + 'location': 'Google Meet', + 'description': self.meeting_data['description'], + 'start': { + 'dateTime': self.meeting_data['start_time'], + 'timeZone': self.user_profile['time_zone'], + }, + 'end': { + 'dateTime': self.meeting_data['end_time'], + 'timeZone': self.user_profile['time_zone'], + }, + 'attendees': [{'email': attendee} for attendee in self.meeting_data['attendees']], + 'reminders': { + 'useDefault': False, + 'overrides': [ + {'method': 'email', 'minutes': 24 * 60}, + {'method': 'popup', 'minutes': 10}, + ], + }, + 'conferenceData': { + 'createRequest': { + 'requestId': 'sample123', + 'conferenceSolutionKey': { + 'type': 'hangoutsMeet' + } + } + } + } + event = self.service.events().insert(calendarId='primary', body=event, conferenceDataVersion=1).execute() + return event['htmlLink'] + +# Instantiate the GoogleMeet class +google_meet = GoogleMeet(user_profile, meeting_data) + +# Create a Google Meet event +google_meet_link = google_meet.create_google_meet() +``` \ No newline at end of file diff --git a/health_monitoring.py b/health_monitoring.py new file mode 100644 index 0000000..1cc256a --- /dev/null +++ b/health_monitoring.py @@ -0,0 +1,34 @@ +```python +import datetime +from ai_assistant.shared_dependencies import user_profile, HealthSchema + +class HealthMonitor: + def __init__(self, user_profile): + self.user_profile = user_profile + self.health_data = HealthSchema() + + def monitor_health(self): + current_time = datetime.datetime.now() + if current_time.hour >= 22 or current_time.hour < 6: + self.health_data.sleep_hours += 1 + if self.user_profile.current_task == "Exercise": + self.health_data.exercise_hours += 1 + self.update_health_status() + + def update_health_status(self): + if self.health_data.sleep_hours < 7: + self.health_data.health_status = "Poor" + elif self.health_data.exercise_hours < 1: + self.health_data.health_status = "Average" + else: + self.health_data.health_status = "Good" + + def get_health_status(self): + return self.health_data.health_status + +def monitor_user_health(): + health_monitor = HealthMonitor(user_profile) + health_monitor.monitor_health() + return health_monitor.get_health_status() +``` +This Python code creates a `HealthMonitor` class that tracks the user's health based on their sleep and exercise hours. The `monitor_health` method updates these hours based on the current time and the user's current task. The `update_health_status` method updates the user's health status based on their sleep and exercise hours. The `get_health_status` method returns the user's current health status. The `monitor_user_health` function creates a `HealthMonitor` object for the user and monitors their health. \ No newline at end of file diff --git a/information_retrieval.py b/information_retrieval.py new file mode 100644 index 0000000..dc376ef --- /dev/null +++ b/information_retrieval.py @@ -0,0 +1,60 @@ +```python +import json +from ai_assistant.shared_dependencies import user_profile, search_queries + +class InformationRetrieval: + def __init__(self): + self.user_profile = user_profile + self.search_queries = search_queries + + def retrieve_information(self, query): + """ + Retrieve information based on the user's query + """ + # Check if the query is in the user's search history + if query in self.search_queries: + return self.search_queries[query] + + # If not, perform a new search + else: + # Here, you would typically call an external API or database to retrieve the information + # For the sake of this example, we'll return a dummy response + response = { + "query": query, + "results": [ + { + "title": "Dummy result 1", + "description": "This is a dummy result for the query." + }, + { + "title": "Dummy result 2", + "description": "This is another dummy result for the query." + } + ] + } + + # Add the new search to the user's search history + self.search_queries[query] = response + + return response + + def update_user_profile(self, new_data): + """ + Update the user's profile with new data + """ + self.user_profile.update(new_data) + + def save_user_profile(self): + """ + Save the user's profile to a JSON file + """ + with open('user_profile.json', 'w') as f: + json.dump(self.user_profile, f) + + def load_user_profile(self): + """ + Load the user's profile from a JSON file + """ + with open('user_profile.json', 'r') as f: + self.user_profile = json.load(f) +``` diff --git a/intelligent_search.py b/intelligent_search.py new file mode 100644 index 0000000..470cb0e --- /dev/null +++ b/intelligent_search.py @@ -0,0 +1,46 @@ +```python +import re +from collections import defaultdict +from ai_assistant.shared_dependencies import user_profile, meeting_data, search_queries + +class IntelligentSearch: + def __init__(self): + self.index = defaultdict(list) + + def update_index(self): + """ + Update the search index with the latest data from user_profile and meeting_data + """ + for key, value in user_profile.items(): + self.index[key].append(value) + + for meeting in meeting_data: + for key, value in meeting.items(): + self.index[key].append(value) + + def search(self, query): + """ + Perform an intelligent search on the index using the provided query + """ + results = [] + for word in query.split(): + if word in self.index: + results.extend(self.index[word]) + return results + +def intelligent_search(query): + search_engine = IntelligentSearch() + search_engine.update_index() + return search_engine.search(query) + +def handle_search_query(): + while True: + query = input("Enter your search query: ") + if query.lower() == 'quit': + break + results = intelligent_search(query) + print(f"Search Results: {results}") + +if __name__ == "__main__": + handle_search_query() +``` \ No newline at end of file diff --git a/language_translation.py b/language_translation.py new file mode 100644 index 0000000..1f0f63a --- /dev/null +++ b/language_translation.py @@ -0,0 +1,30 @@ +```python +import requests +from shared_dependencies import user_profile, meeting_data + +class LanguageTranslation: + def __init__(self): + self.api_key = "YOUR_TRANSLATION_API_KEY" + self.url = "https://api.translationapi.com/v1.5/tr" + + def translate_text(self, text, target_language): + data = { + "q": text, + "target": target_language + } + headers = { + "Authorization": "Bearer " + self.api_key + } + response = requests.post(self.url, headers=headers, data=data) + return response.json()["data"]["translations"][0]["translatedText"] + + def translate_meeting_data(self): + for meeting in meeting_data: + if meeting["language"] != user_profile["preferred_language"]: + meeting["title"] = self.translate_text(meeting["title"], user_profile["preferred_language"]) + meeting["description"] = self.translate_text(meeting["description"], user_profile["preferred_language"]) + return meeting_data + +language_translation = LanguageTranslation() +translated_meeting_data = language_translation.translate_meeting_data() +``` \ No newline at end of file diff --git a/learning_development.py b/learning_development.py new file mode 100644 index 0000000..794889a --- /dev/null +++ b/learning_development.py @@ -0,0 +1,40 @@ +```python +import datetime +from ai_assistant.shared_dependencies import UserProfileSchema, LearningSchema + +class LearningDevelopment: + def __init__(self, user_profile: UserProfileSchema, learning_data: LearningSchema): + self.user_profile = user_profile + self.learning_data = learning_data + + def update_learning_progress(self, new_progress): + self.learning_data.progress = new_progress + self.learning_data.last_updated = datetime.datetime.now() + + def recommend_learning_path(self): + if self.user_profile.job_role == 'Developer': + return 'AI and Machine Learning' + elif self.user_profile.job_role == 'Project Manager': + return 'Agile and Scrum' + else: + return 'Communication Skills' + + def set_learning_goals(self, new_goals): + self.learning_data.goals = new_goals + + def track_learning_progress(self): + progress = self.learning_data.progress + goals = self.learning_data.goals + if progress >= goals: + return 'Learning goal achieved!' + else: + return f'Keep going! You are {goals - progress}% away from your goal.' + + def get_learning_summary(self): + return { + 'user': self.user_profile.name, + 'progress': self.learning_data.progress, + 'goals': self.learning_data.goals, + 'recommended_path': self.recommend_learning_path() + } +``` \ No newline at end of file diff --git a/meeting_analytics.py b/meeting_analytics.py new file mode 100644 index 0000000..7ba4216 --- /dev/null +++ b/meeting_analytics.py @@ -0,0 +1,47 @@ +```python +import pandas as pd +from datetime import datetime +from ai_assistant.shared_dependencies import meeting_data + +class MeetingAnalytics: + def __init__(self): + self.meeting_data = meeting_data + + def get_meeting_duration(self, meeting_id): + meeting = self.meeting_data[meeting_id] + start_time = datetime.strptime(meeting['start_time'], '%Y-%m-%d %H:%M:%S') + end_time = datetime.strptime(meeting['end_time'], '%Y-%m-%d %H:%M:%S') + duration = end_time - start_time + return duration.total_seconds() / 60 + + def get_average_meeting_duration(self): + total_duration = 0 + for meeting_id in self.meeting_data: + total_duration += self.get_meeting_duration(meeting_id) + return total_duration / len(self.meeting_data) + + def get_participant_count(self, meeting_id): + meeting = self.meeting_data[meeting_id] + return len(meeting['participants']) + + def get_average_participant_count(self): + total_participants = 0 + for meeting_id in self.meeting_data: + total_participants += self.get_participant_count(meeting_id) + return total_participants / len(self.meeting_data) + + def get_meeting_frequency(self): + dates = [datetime.strptime(meeting['start_time'], '%Y-%m-%d %H:%M:%S').date() for meeting in self.meeting_data.values()] + date_counts = pd.Series(dates).value_counts().sort_index() + return date_counts.to_dict() + + def analyze_meeting(self): + average_duration = self.get_average_meeting_duration() + average_participants = self.get_average_participant_count() + meeting_frequency = self.get_meeting_frequency() + return { + 'average_duration': average_duration, + 'average_participants': average_participants, + 'meeting_frequency': meeting_frequency + } +``` \ No newline at end of file diff --git a/meeting_clustering.py b/meeting_clustering.py new file mode 100644 index 0000000..ed1ac50 --- /dev/null +++ b/meeting_clustering.py @@ -0,0 +1,34 @@ +```python +import numpy as np +from sklearn.cluster import KMeans +from .shared_dependencies import meeting_data + +class MeetingCluster: + def __init__(self, n_clusters=5): + self.n_clusters = n_clusters + self.model = KMeans(n_clusters=self.n_clusters) + + def preprocess_data(self): + # Extracting features from meeting data + features = [] + for meeting in meeting_data: + features.append([meeting['duration'], meeting['participants']]) + return np.array(features) + + def fit(self, data): + self.model.fit(data) + + def predict(self, data): + return self.model.predict(data) + + def cluster_meetings(self): + data = self.preprocess_data() + self.fit(data) + clusters = self.predict(data) + for i, meeting in enumerate(meeting_data): + meeting['cluster'] = clusters[i] + +if __name__ == "__main__": + meeting_cluster = MeetingCluster() + meeting_cluster.cluster_meetings() +``` \ No newline at end of file diff --git a/meeting_recommendations.py b/meeting_recommendations.py new file mode 100644 index 0000000..b9c2ea0 --- /dev/null +++ b/meeting_recommendations.py @@ -0,0 +1,35 @@ +```python +import pandas as pd +from sklearn.cluster import KMeans +from ai_assistant.availability_analysis import checkAvailability +from ai_assistant.meeting_clustering import clusterMeeting +from ai_assistant.contextual_understanding import understandContext + +def recommendMeeting(user_profile, meeting_data): + # Analyze user's availability + availability = checkAvailability(user_profile) + + # Cluster meetings based on their attributes + meeting_clusters = clusterMeeting(meeting_data) + + # Understand the context of each meeting + meeting_contexts = [understandContext(meeting) for meeting in meeting_data] + + # Create a DataFrame to store meeting data + df = pd.DataFrame({ + 'Availability': availability, + 'Cluster': meeting_clusters, + 'Context': meeting_contexts + }) + + # Use KMeans clustering to group similar meetings together + kmeans = KMeans(n_clusters=5, random_state=0).fit(df) + + # Get the cluster centers + cluster_centers = kmeans.cluster_centers_ + + # Recommend a meeting based on the closest cluster center to the user's availability + recommended_meeting = min(cluster_centers, key=lambda x: abs(x[0] - user_profile['availability'])) + + return recommended_meeting +``` \ No newline at end of file diff --git a/meeting_templates.py b/meeting_templates.py new file mode 100644 index 0000000..4d5188a --- /dev/null +++ b/meeting_templates.py @@ -0,0 +1,66 @@ +```python +import json + +class MeetingTemplate: + def __init__(self, template_id, template_name, template_details): + self.template_id = template_id + self.template_name = template_name + self.template_details = template_details + + def get_template_id(self): + return self.template_id + + def get_template_name(self): + return self.template_name + + def get_template_details(self): + return self.template_details + + def set_template_details(self, template_details): + self.template_details = template_details + +class MeetingTemplatesManager: + def __init__(self): + self.templates = [] + + def load_templates(self, file_path): + with open(file_path, 'r') as file: + templates_data = json.load(file) + for template_data in templates_data: + template = MeetingTemplate(template_data['id'], template_data['name'], template_data['details']) + self.templates.append(template) + + def save_templates(self, file_path): + templates_data = [] + for template in self.templates: + template_data = { + 'id': template.get_template_id(), + 'name': template.get_template_name(), + 'details': template.get_template_details() + } + templates_data.append(template_data) + + with open(file_path, 'w') as file: + json.dump(templates_data, file) + + def create_template(self, template_name, template_details): + template_id = len(self.templates) + 1 + template = MeetingTemplate(template_id, template_name, template_details) + self.templates.append(template) + + def get_template(self, template_id): + for template in self.templates: + if template.get_template_id() == template_id: + return template + return None + + def update_template(self, template_id, template_details): + template = self.get_template(template_id) + if template is not None: + template.set_template_details(template_details) + + def delete_template(self, template_id): + template = self.get_template(template_id) + if template is not None: + self.templates.remove(template) +``` diff --git a/participant_network_analysis.py b/participant_network_analysis.py new file mode 100644 index 0000000..ada8ae2 --- /dev/null +++ b/participant_network_analysis.py @@ -0,0 +1,43 @@ +```python +import networkx as nx +from ai_assistant.meeting_data import MeetingSchema + +class ParticipantNetworkAnalysis: + def __init__(self, meeting_data): + self.meeting_data = meeting_data + self.network = self.build_network() + + def build_network(self): + network = nx.Graph() + for meeting in self.meeting_data: + participants = meeting['participants'] + for i in range(len(participants)): + for j in range(i+1, len(participants)): + if network.has_edge(participants[i], participants[j]): + network[participants[i]][participants[j]]['weight'] += 1 + else: + network.add_edge(participants[i], participants[j], weight=1) + return network + + def get_most_connected_participant(self): + return max(self.network, key=self.network.degree) + + def get_least_connected_participant(self): + return min(self.network, key=self.network.degree) + + def get_suggested_connections(self, participant): + connections = set(self.network.neighbors(participant)) + suggested_connections = set() + for connection in connections: + suggested_connections.update(self.network.neighbors(connection)) + suggested_connections.difference_update(connections) + suggested_connections.discard(participant) + return list(suggested_connections) + +if __name__ == "__main__": + meeting_data = MeetingSchema.load_meeting_data() + pna = ParticipantNetworkAnalysis(meeting_data) + print(f"Most connected participant: {pna.get_most_connected_participant()}") + print(f"Least connected participant: {pna.get_least_connected_participant()}") + print(f"Suggested connections for participant 'John Doe': {pna.get_suggested_connections('John Doe')}") +``` \ No newline at end of file diff --git a/privacy_protection.py b/privacy_protection.py new file mode 100644 index 0000000..3781f8b --- /dev/null +++ b/privacy_protection.py @@ -0,0 +1,27 @@ +```python +import os +from cryptography.fernet import Fernet + +class PrivacyProtection: + def __init__(self): + self.key = os.getenv('ENCRYPTION_KEY') + self.cipher_suite = Fernet(self.key) + + def encrypt_data(self, data): + encoded_text = data.encode() + cipher_text = self.cipher_suite.encrypt(encoded_text) + return cipher_text + + def decrypt_data(self, cipher_text): + plain_text = self.cipher_suite.decrypt(cipher_text) + return plain_text.decode() + + def protect_user_profile(self, user_profile): + encrypted_profile = {key: self.encrypt_data(value) for key, value in user_profile.items()} + return encrypted_profile + + def unprotect_user_profile(self, encrypted_profile): + decrypted_profile = {key: self.decrypt_data(value) for key, value in encrypted_profile.items()} + return decrypted_profile +``` +This Python code creates a class `PrivacyProtection` that uses symmetric encryption to protect user data. The encryption key is stored as an environment variable for security. The `encrypt_data` and `decrypt_data` methods are used to encrypt and decrypt data respectively. The `protect_user_profile` and `unprotect_user_profile` methods are used to encrypt and decrypt the user profile data. \ No newline at end of file diff --git a/productivity_tools_integration.py b/productivity_tools_integration.py new file mode 100644 index 0000000..f4ea6c6 --- /dev/null +++ b/productivity_tools_integration.py @@ -0,0 +1,29 @@ +```python +import os +from dotenv import load_dotenv +from productivity_tools import Todoist, Trello, Asana + +load_dotenv() + +TODOIST_API_KEY = os.getenv('TODOIST_API_KEY') +TRELLO_API_KEY = os.getenv('TRELLO_API_KEY') +TRELLO_TOKEN = os.getenv('TRELLO_TOKEN') +ASANA_TOKEN = os.getenv('ASANA_TOKEN') + +todoist = Todoist(TODOIST_API_KEY) +trello = Trello(TRELLO_API_KEY, TRELLO_TOKEN) +asana = Asana(ASANA_TOKEN) + +def integrateProductivityTool(user_profile, task_list): + if user_profile['productivity_tool'] == 'Todoist': + for task in task_list: + todoist.create_task(task['title'], task['due_date']) + elif user_profile['productivity_tool'] == 'Trello': + for task in task_list: + trello.create_card(task['title'], task['due_date']) + elif user_profile['productivity_tool'] == 'Asana': + for task in task_list: + asana.create_task(task['title'], task['due_date']) + else: + print("Unsupported productivity tool.") +``` \ No newline at end of file diff --git a/scheduler.py b/scheduler.py new file mode 100644 index 0000000..cb2e4b6 --- /dev/null +++ b/scheduler.py @@ -0,0 +1,29 @@ +```python +import datetime +from ai_assistant.zoom_invites import zoomInvite +from ai_assistant.google_meets import googleMeet +from ai_assistant.email_notifications import emailNotification + +class Scheduler: + def __init__(self, user_profile, meeting_data): + self.user_profile = user_profile + self.meeting_data = meeting_data + + def schedule(self): + for meeting in self.meeting_data: + if meeting['platform'] == 'zoom': + zoomInvite(self.user_profile, meeting) + elif meeting['platform'] == 'google_meet': + googleMeet(self.user_profile, meeting) + emailNotification(self.user_profile, meeting) + + def checkAvailability(self, start_time, end_time): + start = datetime.datetime.strptime(start_time, '%Y-%m-%d %H:%M:%S') + end = datetime.datetime.strptime(end_time, '%Y-%m-%d %H:%M:%S') + for meeting in self.meeting_data: + meeting_start = datetime.datetime.strptime(meeting['start_time'], '%Y-%m-%d %H:%M:%S') + meeting_end = datetime.datetime.strptime(meeting['end_time'], '%Y-%m-%d %H:%M:%S') + if start <= meeting_end and meeting_start <= end: + return False + return True +``` \ No newline at end of file diff --git a/sentiment_analysis.py b/sentiment_analysis.py new file mode 100644 index 0000000..f954311 --- /dev/null +++ b/sentiment_analysis.py @@ -0,0 +1,36 @@ +```python +import nltk +from nltk.sentiment import SentimentIntensityAnalyzer + +# Import shared dependencies +from shared_dependencies import user_profile, meeting_data + +class SentimentAnalysis: + def __init__(self): + self.sia = SentimentIntensityAnalyzer() + + def analyze_sentiment(self, text): + sentiment_score = self.sia.polarity_scores(text) + return sentiment_score + + def analyze_meeting_sentiment(self, meeting_id): + meeting = meeting_data[meeting_id] + meeting_text = meeting['transcript'] + sentiment_score = self.analyze_sentiment(meeting_text) + return sentiment_score + + def analyze_user_sentiment(self, user_id): + user = user_profile[user_id] + user_text = user['communication_history'] + sentiment_score = self.analyze_sentiment(user_text) + return sentiment_score + +# Initialize sentiment analysis +sentiment_analysis = SentimentAnalysis() + +# Analyze sentiment for a specific meeting +meeting_sentiment = sentiment_analysis.analyze_meeting_sentiment('meeting123') + +# Analyze sentiment for a specific user +user_sentiment = sentiment_analysis.analyze_user_sentiment('user123') +``` \ No newline at end of file diff --git a/shared_dependencies.md b/shared_dependencies.md index 43fa977..3d97420 100755 --- a/shared_dependencies.md +++ b/shared_dependencies.md @@ -1,25 +1,28 @@ -1. "assistant.py": This file will contain the main class for the AI assistant. It will likely import and use all the features and utilities. It will also contain the main function to run the assistant. - -2. "main.py": This file will be the entry point of the application. It will import and instantiate the assistant from "assistant.py". - -3. "setup.py": This file will contain the setup instructions for the application. It will likely import the necessary modules and packages for the application. - -4. "README.md" and "installation_instructions.txt": These files will contain the instructions for installing and using the application. They will not have any shared dependencies with the other files. - -5. "features": This directory will contain all the feature modules. Each feature module will likely import and use the utilities from the "utils" directory. They may also use the "assistant.py" for certain operations. - -6. "utils": This directory will contain utility modules. These modules will likely be used by the "assistant.py" and the feature modules. - -7. "tests": This directory will contain test modules. These modules will import and test the "assistant.py" and the feature modules. They may also test the utility modules. - -8. Shared Function Names: "init", "run", "setup", "test", "clean", "validate", "log", "enhance", "humanize". - -9. Shared Data Schemas: User data, schedule data, email data, meeting data, task data, reminder data, note data, communication data, report data, expense data, travel data, time data. - -10. Shared Message Names: Error messages, log messages, user prompts, AI responses. - -11. Shared Exported Variables: User data, schedule data, email data, meeting data, task data, reminder data, note data, communication data, report data, expense data, travel data, time data. - -12. Shared DOM Element IDs: Not applicable as this is not a web-based application. - -13. Shared Dependencies: Python standard library, third-party libraries for AI and machine learning, testing libraries. \ No newline at end of file +Shared Dependencies: + +1. Exported Variables: + - `USER_EMAIL`: User's email address, used across email handling, scheduling, and security modules. + - `USER_CREDENTIALS`: User's credentials for OAuth2, used in email handling and security modules. + - `DB_CONNECTION`: Database connection string, used in backend and database modules. + +2. Data Schemas: + - `UserSchema`: Defines the structure of user data, used in backend, security, and database modules. + - `TaskSchema`: Defines the structure of scheduling tasks, used in AI model, scheduler, and database modules. + - `EmailSchema`: Defines the structure of emails, used in email handler and database modules. + +3. DOM Element IDs: + - `#email-input`: Input field for email, used in React and Vue.js frontend files. + - `#task-input`: Input field for scheduling tasks, used in React and Vue.js frontend files. + - `#submit-button`: Button for submitting tasks, used in React and Vue.js frontend files. + +4. Message Names: + - `EMAIL_RECEIVED`: Message indicating a new email has been received, used in email handler and AI model modules. + - `TASK_SCHEDULED`: Message indicating a task has been scheduled, used in scheduler and AI model modules. + +5. Function Names: + - `handleEmail()`: Function to handle incoming emails, used in email handler and AI model modules. + - `scheduleTask()`: Function to schedule tasks, used in scheduler and AI model modules. + - `encryptData()`: Function to encrypt user data, used in security and backend modules. + - `decryptData()`: Function to decrypt user data, used in security and backend modules. + - `connectDB()`: Function to establish a database connection, used in backend and database modules. + - `testFunctionality()`: Function to test system functionality, used in TDD and BDD testing modules. \ No newline at end of file diff --git a/smart_notifications.py b/smart_notifications.py new file mode 100644 index 0000000..6c1a5c8 --- /dev/null +++ b/smart_notifications.py @@ -0,0 +1,42 @@ +```python +import json +from datetime import datetime +from ai_assistant.email_notifications import send_email +from ai_assistant.scheduler import user_profile, meeting_data + +notification_settings = json.load(open('notification_settings.json')) + +def notifySmartly(): + for meeting in meeting_data: + if should_notify(meeting): + send_notification(meeting) + +def should_notify(meeting): + if meeting['status'] == 'upcoming' and is_within_notification_period(meeting): + return True + return False + +def is_within_notification_period(meeting): + meeting_time = datetime.strptime(meeting['time'], '%Y-%m-%d %H:%M:%S') + current_time = datetime.now() + difference = meeting_time - current_time + minutes_difference = difference.total_seconds() / 60 + if minutes_difference <= notification_settings['notification_period']: + return True + return False + +def send_notification(meeting): + if notification_settings['method'] == 'email': + send_email(user_profile['email'], 'Meeting Reminder', generate_email_content(meeting)) + elif notification_settings['method'] == 'push': + send_push_notification(user_profile['device_id'], 'Meeting Reminder', generate_push_content(meeting)) + +def generate_email_content(meeting): + return f"Dear {user_profile['name']},\n\nYou have a meeting scheduled at {meeting['time']} with {meeting['participants']}. Please be prepared.\n\nBest,\nAI Assistant" + +def generate_push_content(meeting): + return f"You have a meeting scheduled at {meeting['time']} with {meeting['participants']}. Please be prepared." + +if __name__ == "__main__": + notifySmartly() +``` \ No newline at end of file diff --git a/social_media_management.py b/social_media_management.py new file mode 100644 index 0000000..70acc9c --- /dev/null +++ b/social_media_management.py @@ -0,0 +1,61 @@ +```python +import os +from social_media_api import SocialMediaAPI + +class SocialMediaManager: + def __init__(self, user_profile): + self.user_profile = user_profile + self.social_media_data = self.get_social_media_data() + + def get_social_media_data(self): + # Fetch social media data from user profile + return self.user_profile.get('social_media_data', {}) + + def manage_social_media(self): + # Iterate over all social media platforms + for platform, credentials in self.social_media_data.items(): + api = SocialMediaAPI(platform, credentials) + self.post_scheduled_updates(api) + self.respond_to_mentions(api) + + def post_scheduled_updates(self, api): + # Fetch scheduled updates from task list + updates = self.get_scheduled_updates() + for update in updates: + api.post_update(update) + + def respond_to_mentions(self, api): + # Fetch mentions from social media platform + mentions = api.get_mentions() + for mention in mentions: + response = self.generate_response(mention) + api.post_response(mention, response) + + def get_scheduled_updates(self): + # Fetch scheduled updates from task list + return self.user_profile.get('task_list', {}).get('social_media_updates', []) + + def generate_response(self, mention): + # Generate response based on mention context + context = self.understand_context(mention) + return self.create_response(context) + + def understand_context(self, mention): + # Use contextual understanding to understand the mention context + return contextual_understanding.understand(mention) + + def create_response(self, context): + # Use sentiment analysis to create a response based on the context + sentiment = sentiment_analysis.analyze(context) + if sentiment == 'positive': + return "Thank you for your kind words!" + elif sentiment == 'negative': + return "We're sorry to hear that. We'll do better next time." + else: + return "Thanks for reaching out!" + +if __name__ == "__main__": + user_profile = UserProfileSchema.load(os.getenv('USER_PROFILE_PATH')) + manager = SocialMediaManager(user_profile) + manager.manage_social_media() +``` diff --git a/src/agile/kanban.py b/src/agile/kanban.py new file mode 100755 index 0000000..d4e98d8 --- /dev/null +++ b/src/agile/kanban.py @@ -0,0 +1,33 @@ +```python +class KanbanBoard: + def __init__(self): + self.columns = ['Backlog', 'In Progress', 'Review', 'Done'] + self.tasks = {column: [] for column in self.columns} + + def add_task(self, column, task): + if column in self.columns: + self.tasks[column].append(task) + else: + print(f"Invalid column. Please choose from {self.columns}") + + def move_task(self, task, from_column, to_column): + if from_column in self.columns and to_column in self.columns: + if task in self.tasks[from_column]: + self.tasks[from_column].remove(task) + self.tasks[to_column].append(task) + else: + print(f"Task not found in {from_column}") + else: + print(f"Invalid column. Please choose from {self.columns}") + + def display_board(self): + for column in self.columns: + print(f"{column}: {self.tasks[column]}") + +# Example usage +kanban = KanbanBoard() +kanban.add_task('Backlog', 'Implement GPT-4 model') +kanban.add_task('Backlog', 'Integrate Google Calendar API') +kanban.move_task('Implement GPT-4 model', 'Backlog', 'In Progress') +kanban.display_board() +``` \ No newline at end of file diff --git a/src/agile/scrum.py b/src/agile/scrum.py new file mode 100755 index 0000000..e090fe0 --- /dev/null +++ b/src/agile/scrum.py @@ -0,0 +1,50 @@ +```python +class ScrumBoard: + def __init__(self): + self.backlog = [] + self.sprint_backlog = [] + self.in_progress = [] + self.done = [] + + def add_to_backlog(self, task): + self.backlog.append(task) + + def move_to_sprint_backlog(self, task): + if task in self.backlog: + self.backlog.remove(task) + self.sprint_backlog.append(task) + + def start_task(self, task): + if task in self.sprint_backlog: + self.sprint_backlog.remove(task) + self.in_progress.append(task) + + def complete_task(self, task): + if task in self.in_progress: + self.in_progress.remove(task) + self.done.append(task) + + +class ScrumTeam: + def __init__(self, name): + self.name = name + self.members = [] + self.scrum_board = ScrumBoard() + + def add_member(self, member): + self.members.append(member) + + def remove_member(self, member): + if member in self.members: + self.members.remove(member) + + def get_team_status(self): + return { + 'team_name': self.name, + 'members': self.members, + 'backlog': self.scrum_board.backlog, + 'sprint_backlog': self.scrum_board.sprint_backlog, + 'in_progress': self.scrum_board.in_progress, + 'done': self.scrum_board.done + } +``` \ No newline at end of file diff --git a/src/ai_model/gpt4.py b/src/ai_model/gpt4.py new file mode 100755 index 0000000..68cef22 --- /dev/null +++ b/src/ai_model/gpt4.py @@ -0,0 +1,27 @@ +```python +import torch +from transformers import GPT2LMHeadModel, GPT2Tokenizer + +class GPT4: + def __init__(self, model_name='gpt2'): + self.tokenizer = GPT2Tokenizer.from_pretrained(model_name) + self.model = GPT2LMHeadModel.from_pretrained(model_name) + + def generate_response(self, input_text): + inputs = self.tokenizer.encode(input_text, return_tensors='pt') + outputs = self.model.generate(inputs, max_length=150, num_return_sequences=1, no_repeat_ngram_size=2) + response = self.tokenizer.decode(outputs[0], skip_special_tokens=True) + return response + +gpt4 = GPT4() + +def handleEmail(email): + email_content = email['content'] + response = gpt4.generate_response(email_content) + return response + +def scheduleTask(task): + task_description = task['description'] + response = gpt4.generate_response(task_description) + return response +``` \ No newline at end of file diff --git a/src/backend/django_app.py b/src/backend/django_app.py new file mode 100755 index 0000000..085e257 --- /dev/null +++ b/src/backend/django_app.py @@ -0,0 +1,49 @@ +```python +from django.shortcuts import render +from django.http import JsonResponse +from .models import User, Task, Email +from src.security.encryption import encryptData, decryptData +from src.database.postgresql import connectDB + +USER_EMAIL = "user@example.com" +USER_CREDENTIALS = "user_credentials" + +def home(request): + return render(request, 'home.html') + +def handleEmail(request): + if request.method == 'POST': + email_data = request.POST + encrypted_data = encryptData(email_data) + email = Email(email_data=encrypted_data) + email.save() + return JsonResponse({"message": "EMAIL_RECEIVED"}, status=200) + +def scheduleTask(request): + if request.method == 'POST': + task_data = request.POST + encrypted_data = encryptData(task_data) + task = Task(task_data=encrypted_data) + task.save() + return JsonResponse({"message": "TASK_SCHEDULED"}, status=200) + +def getUserData(request): + if request.method == 'GET': + user = User.objects.get(email=USER_EMAIL) + decrypted_data = decryptData(user.data) + return JsonResponse({"data": decrypted_data}, status=200) + +def updateUserData(request): + if request.method == 'POST': + user_data = request.POST + encrypted_data = encryptData(user_data) + User.objects.filter(email=USER_EMAIL).update(data=encrypted_data) + return JsonResponse({"message": "User data updated"}, status=200) + +def connectToDB(request): + connection = connectDB() + if connection: + return JsonResponse({"message": "Database connected"}, status=200) + else: + return JsonResponse({"message": "Database connection failed"}, status=500) +``` \ No newline at end of file diff --git a/src/backend/node_app.js b/src/backend/node_app.js new file mode 100755 index 0000000..0f0b5df --- /dev/null +++ b/src/backend/node_app.js @@ -0,0 +1,37 @@ +const express = require('express'); +const bodyParser = require('body-parser'); +const cors = require('cors'); +const { connectDB } = require('./database/postgresql'); +const { encryptData, decryptData } = require('./security/encryption'); +const { handleEmail } = require('../email_handler/mime_handler'); +const { scheduleTask } = require('../scheduler/google_calendar'); + +const app = express(); +app.use(cors()); +app.use(bodyParser.json()); + +let USER_EMAIL = ''; +let USER_CREDENTIALS = ''; +let DB_CONNECTION = ''; + +app.post('/login', async (req, res) => { + USER_EMAIL = req.body.email; + USER_CREDENTIALS = encryptData(req.body.password); + DB_CONNECTION = await connectDB(USER_EMAIL, decryptData(USER_CREDENTIALS)); + res.status(200).send({ message: 'Logged in successfully' }); +}); + +app.post('/email', async (req, res) => { + const email = req.body; + const processedEmail = await handleEmail(email, USER_EMAIL, decryptData(USER_CREDENTIALS)); + res.status(200).send(processedEmail); +}); + +app.post('/schedule', async (req, res) => { + const task = req.body; + const scheduledTask = await scheduleTask(task, USER_EMAIL, decryptData(USER_CREDENTIALS)); + res.status(200).send(scheduledTask); +}); + +const PORT = process.env.PORT || 3000; +app.listen(PORT, () => console.log(`Server running on port ${PORT}`)); \ No newline at end of file diff --git a/src/cicd/gitlab_ci.yaml b/src/cicd/gitlab_ci.yaml new file mode 100755 index 0000000..1202703 --- /dev/null +++ b/src/cicd/gitlab_ci.yaml @@ -0,0 +1,33 @@ +stages: + - build + - test + - deploy + +variables: + USER_EMAIL: "user@example.com" + USER_CREDENTIALS: "secure_password" + DB_CONNECTION: "postgresql://user:password@localhost:5432/mydatabase" + +build: + stage: build + script: + - echo "Building the application..." + - docker build -t ai-scheduler-app -f src/docker/dockerfile1 . + +test: + stage: test + script: + - echo "Running tests..." + - python src/testing/tdd.py + - python src/testing/bdd.py + +deploy: + stage: deploy + script: + - echo "Deploying the application..." + - kubectl apply -f src/kubernetes/kube_config.yaml + environment: + name: production + url: http://production.example.com + only: + - master \ No newline at end of file diff --git a/src/cicd/jenkinsfile b/src/cicd/jenkinsfile new file mode 100755 index 0000000..ba3ce96 --- /dev/null +++ b/src/cicd/jenkinsfile @@ -0,0 +1,61 @@ +pipeline { + agent any + + stages { + stage('Checkout') { + steps { + git 'https://github.com/your-repo/ai-scheduling-assistant.git' + } + } + + stage('Install Dependencies') { + steps { + sh 'pip install -r requirements.txt' + } + } + + stage('Test') { + steps { + sh 'python -m unittest discover -s src/testing -p "*_test.py"' + } + } + + stage('Build Docker Images') { + steps { + sh 'docker build -t ai-scheduling-assistant:latest -f src/docker/dockerfile1 .' + sh 'docker build -t ai-scheduling-assistant-service:latest -f src/docker/dockerfile2 .' + } + } + + stage('Deploy to Kubernetes') { + steps { + sh 'kubectl apply -f src/kubernetes/kube_config.yaml' + } + } + } + + post { + always { + notifyBuild(currentBuild.result) + } + } +} + +def notifyBuild(String buildStatus = 'STARTED') { + buildStatus = buildStatus ?: 'SUCCESSFUL' + + def colorName = buildStatus == 'SUCCESSFUL' ? 'green' : buildStatus == 'FAILURE' ? 'red' : 'yellow' + def colorCode = buildStatus == 'SUCCESSFUL' ? '#00FF00' : buildStatus == 'FAILURE' ? '#FF0000' : '#FFFF00' + def subject = "${buildStatus}: Job '${env.JOB_NAME} [${env.BUILD_NUMBER}]'" + def summary = "${subject} (${env.BUILD_URL})" + def details = """

STARTED: Job '${env.JOB_NAME} [${env.BUILD_NUMBER}]':

+

Check console output at "${env.JOB_NAME} [${env.BUILD_NUMBER}]"

""" + + emailext ( + subject: subject, + body: details, + recipientProviders: [[$class: 'DevelopersRecipientProvider']], + attachLog: true, + mimeType: 'text/html' + ) +} \ No newline at end of file diff --git a/src/database/mongodb.py b/src/database/mongodb.py new file mode 100755 index 0000000..75aeb85 --- /dev/null +++ b/src/database/mongodb.py @@ -0,0 +1,83 @@ +```python +from pymongo import MongoClient +from src.security.encryption import decryptData + +# MongoDB connection string +DB_CONNECTION = decryptData("DB_CONNECTION") + +# Establish a connection to the MongoDB +client = MongoClient(DB_CONNECTION) + +# Select the database +db = client.ai_scheduling_assistant + +# Define the User, Task and Email collections +users = db.users +tasks = db.tasks +emails = db.emails + +# Define the User, Task and Email schemas +UserSchema = { + "email": "USER_EMAIL", + "credentials": "USER_CREDENTIALS", + "tasks": [], + "emails": [] +} + +TaskSchema = { + "user_email": "USER_EMAIL", + "description": "", + "date": "", + "status": "" +} + +EmailSchema = { + "user_email": "USER_EMAIL", + "subject": "", + "body": "", + "attachments": [] +} + +def connectDB(): + try: + client.server_info() # Will throw an exception if not connected + print("Successfully connected to MongoDB") + except: + print("Failed to connect to MongoDB") + +def insert_user(user): + users.insert_one(user) + +def insert_task(task): + tasks.insert_one(task) + +def insert_email(email): + emails.insert_one(email) + +def find_user(email): + return users.find_one({"email": email}) + +def find_task(email, description): + return tasks.find_one({"user_email": email, "description": description}) + +def find_email(email, subject): + return emails.find_one({"user_email": email, "subject": subject}) + +def update_user(email, update): + users.update_one({"email": email}, {"$set": update}) + +def update_task(email, description, update): + tasks.update_one({"user_email": email, "description": description}, {"$set": update}) + +def update_email(email, subject, update): + emails.update_one({"user_email": email, "subject": subject}, {"$set": update}) + +def delete_user(email): + users.delete_one({"email": email}) + +def delete_task(email, description): + tasks.delete_one({"user_email": email, "description": description}) + +def delete_email(email, subject): + emails.delete_one({"user_email": email, "subject": subject}) +``` \ No newline at end of file diff --git a/src/database/postgresql.py b/src/database/postgresql.py new file mode 100755 index 0000000..2212516 --- /dev/null +++ b/src/database/postgresql.py @@ -0,0 +1,70 @@ +```python +import psycopg2 +from psycopg2 import sql +from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT + +# Shared variables +DB_CONNECTION = "dbname=test user=postgres password=secret" + +# Shared schemas +UserSchema = { + "email": "TEXT", + "password": "TEXT", + "tasks": "JSONB" +} + +TaskSchema = { + "task_id": "SERIAL PRIMARY KEY", + "task_name": "TEXT", + "task_time": "TIMESTAMP" +} + +EmailSchema = { + "email_id": "SERIAL PRIMARY KEY", + "email_subject": "TEXT", + "email_body": "TEXT", + "email_time": "TIMESTAMP" +} + +def connectDB(): + conn = psycopg2.connect(DB_CONNECTION) + conn.set_isolation_level(ISOLATION_LEVEL_AUTOCOMMIT) + return conn + +def create_table(conn, table_name, schema): + cur = conn.cursor() + columns = ", ".join([f"{k} {v}" for k, v in schema.items()]) + create_table_query = sql.SQL("CREATE TABLE IF NOT EXISTS {} ({});").format( + sql.Identifier(table_name), sql.SQL(columns) + ) + cur.execute(create_table_query) + conn.commit() + cur.close() + +def insert_data(conn, table_name, data): + cur = conn.cursor() + columns = ", ".join(data.keys()) + values = ", ".join(["%s"] * len(data)) + insert_query = sql.SQL("INSERT INTO {} ({}) VALUES ({});").format( + sql.Identifier(table_name), sql.SQL(columns), sql.SQL(values) + ) + cur.execute(insert_query, list(data.values())) + conn.commit() + cur.close() + +def query_data(conn, table_name, condition=None): + cur = conn.cursor() + query = sql.SQL("SELECT * FROM {}").format(sql.Identifier(table_name)) + if condition: + query += sql.SQL(" WHERE {}").format(sql.SQL(condition)) + cur.execute(query) + rows = cur.fetchall() + cur.close() + return rows + +# Initialize database and tables +conn = connectDB() +create_table(conn, "users", UserSchema) +create_table(conn, "tasks", TaskSchema) +create_table(conn, "emails", EmailSchema) +``` \ No newline at end of file diff --git a/src/docker/dockerfile1 b/src/docker/dockerfile1 new file mode 100755 index 0000000..fba1dad --- /dev/null +++ b/src/docker/dockerfile1 @@ -0,0 +1,27 @@ +```Dockerfile +# Use an official Python runtime as a parent image +FROM python:3.8-slim-buster + +# Set environment variables +ENV USER_EMAIL user@example.com +ENV USER_CREDENTIALS secret +ENV DB_CONNECTION postgresql://user:password@localhost:5432/mydatabase + +# Set the working directory in the container to /app +WORKDIR /app + +# Add the current directory contents into the container at /app +ADD . /app + +# Install any needed packages specified in requirements.txt +RUN pip install --no-cache-dir -r requirements.txt + +# Make port 80 available to the world outside this container +EXPOSE 80 + +# Define environment variable +ENV NAME AI-Scheduler + +# Run main.py when the container launches +CMD ["python", "src/main.py"] +``` \ No newline at end of file diff --git a/src/docker/dockerfile2 b/src/docker/dockerfile2 new file mode 100755 index 0000000..1b33c70 --- /dev/null +++ b/src/docker/dockerfile2 @@ -0,0 +1,24 @@ +```Dockerfile +# Use an official Python runtime as a parent image +FROM python:3.8-slim-buster + +# Set the working directory in the container to /app +WORKDIR /app + +# Add the current directory contents into the container at /app +ADD . /app + +# Install any needed packages specified in requirements.txt +RUN pip install --no-cache-dir -r requirements.txt + +# Make port 80 available to the world outside this container +EXPOSE 80 + +# Define environment variables +ENV USER_EMAIL=user@example.com +ENV USER_CREDENTIALS=secret +ENV DB_CONNECTION=postgresql://user:password@localhost:5432/mydatabase + +# Run main.py when the container launches +CMD ["python", "src/main.py"] +``` \ No newline at end of file diff --git a/src/email_handler/mime_handler.py b/src/email_handler/mime_handler.py new file mode 100755 index 0000000..ed5573e --- /dev/null +++ b/src/email_handler/mime_handler.py @@ -0,0 +1,35 @@ +```python +import email +from email import policy +from email.parser import BytesParser + +# Shared variables +USER_EMAIL = "user@example.com" +USER_CREDENTIALS = "user_credentials" + +def handleEmail(raw_email): + # Parse raw email into a message object + msg = BytesParser(policy=policy.default).parsebytes(raw_email) + + # Extract email subject + subject = msg['Subject'] + + # Extract email body + if msg.is_multipart(): + for part in msg.iter_parts(): + if part.get_content_type() == 'text/plain': + body = part.get_content() + else: + body = msg.get_content() + + # Extract sender's email + from_email = email.utils.parseaddr(msg['From'])[1] + + # If the email is from the user, handle it + if from_email == USER_EMAIL: + processUserEmail(subject, body) + +def processUserEmail(subject, body): + # TODO: Implement user email processing logic + pass +``` \ No newline at end of file diff --git a/src/frontend/react_app.js b/src/frontend/react_app.js new file mode 100755 index 0000000..eb21192 --- /dev/null +++ b/src/frontend/react_app.js @@ -0,0 +1,62 @@ +import React, { useState } from 'react'; +import axios from 'axios'; + +function App() { + const [email, setEmail] = useState(''); + const [task, setTask] = useState(''); + + const handleEmailChange = (event) => { + setEmail(event.target.value); + }; + + const handleTaskChange = (event) => { + setTask(event.target.value); + }; + + const handleSubmit = async (event) => { + event.preventDefault(); + const data = { + USER_EMAIL: email, + TaskSchema: task, + }; + + try { + const response = await axios.post('/api/schedule', data); + if (response.status === 200) { + alert('Task scheduled successfully'); + } + } catch (error) { + console.error('Error scheduling task', error); + } + }; + + return ( +
+
+ + + + + + + +
+
+ ); +} + +export default App; \ No newline at end of file diff --git a/src/frontend/vue_app.js b/src/frontend/vue_app.js new file mode 100755 index 0000000..d3a9176 --- /dev/null +++ b/src/frontend/vue_app.js @@ -0,0 +1,35 @@ +```javascript +import Vue from 'vue' +import axios from 'axios' + +new Vue({ + el: '#app', + data: { + userEmail: '', + task: '', + message: '' + }, + methods: { + submitTask: function() { + axios.post('/api/schedule', { + email: this.userEmail, + task: this.task + }) + .then(response => { + this.message = 'Task scheduled successfully'; + }) + .catch(error => { + this.message = 'Error scheduling task'; + }); + } + }, + template: ` +
+ + + +

{{ message }}

+
+ ` +}); +``` \ No newline at end of file diff --git a/src/integration/graphql_api.py b/src/integration/graphql_api.py new file mode 100755 index 0000000..3f58075 --- /dev/null +++ b/src/integration/graphql_api.py @@ -0,0 +1,27 @@ +```python +from flask import Flask +from flask_graphql import GraphQLView +from graphene import ObjectType, String, Schema + +class Query(ObjectType): + hello = String(name=String(default_value="World")) + user_email = String() + user_credentials = String() + + def resolve_hello(self, info, name): + return f'Hello {name}!' + + def resolve_user_email(self, info): + return USER_EMAIL + + def resolve_user_credentials(self, info): + return USER_CREDENTIALS + +schema = Schema(query=Query) + +app = Flask(__name__) +app.add_url_rule('/graphql', view_func=GraphQLView.as_view('graphql', schema=schema, graphiql=True)) + +if __name__ == '__main__': + app.run() +``` \ No newline at end of file diff --git a/src/integration/rest_api.py b/src/integration/rest_api.py new file mode 100755 index 0000000..e812f32 --- /dev/null +++ b/src/integration/rest_api.py @@ -0,0 +1,33 @@ +```python +from flask import Flask, request, jsonify +from src.ai_model import gpt4 +from src.email_handler import mime_handler +from src.scheduler import google_calendar, microsoft_graph + +app = Flask(__name__) + +@app.route('/api/v1/query', methods=['POST']) +def handle_query(): + data = request.get_json() + user_email = data.get('USER_EMAIL') + query = data.get('query') + + # Process the query with GPT-4 model + response = gpt4.process_query(query) + + # Handle email related tasks + if 'email' in response: + mime_handler.handleEmail(user_email, response['email']) + + # Handle scheduling tasks + if 'task' in response: + if response['platform'] == 'google': + google_calendar.scheduleTask(user_email, response['task']) + elif response['platform'] == 'microsoft': + microsoft_graph.scheduleTask(user_email, response['task']) + + return jsonify({'status': 'success'}), 200 + +if __name__ == '__main__': + app.run(debug=True) +``` \ No newline at end of file diff --git a/src/kubernetes/kube_config.yaml b/src/kubernetes/kube_config.yaml new file mode 100755 index 0000000..4b6b4c4 --- /dev/null +++ b/src/kubernetes/kube_config.yaml @@ -0,0 +1,70 @@ +```yaml +apiVersion: apps/v1 +kind: Deployment +metadata: + name: ai-scheduling-assistant + labels: + app: ai-scheduling-assistant +spec: + replicas: 3 + selector: + matchLabels: + app: ai-scheduling-assistant + template: + metadata: + labels: + app: ai-scheduling-assistant + spec: + containers: + - name: ai-scheduling-assistant + image: ai-scheduling-assistant:latest + ports: + - containerPort: 8080 + env: + - name: USER_EMAIL + valueFrom: + secretKeyRef: + name: user-email-secret + key: email + - name: USER_CREDENTIALS + valueFrom: + secretKeyRef: + name: user-credentials-secret + key: credentials + - name: DB_CONNECTION + valueFrom: + secretKeyRef: + name: db-connection-secret + key: connection +--- +apiVersion: v1 +kind: Service +metadata: + name: ai-scheduling-assistant +spec: + selector: + app: ai-scheduling-assistant + ports: + - protocol: TCP + port: 80 + targetPort: 8080 +--- +apiVersion: autoscaling/v2beta2 +kind: HorizontalPodAutoscaler +metadata: + name: ai-scheduling-assistant +spec: + scaleTargetRef: + apiVersion: apps/v1 + kind: Deployment + name: ai-scheduling-assistant + minReplicas: 3 + maxReplicas: 10 + metrics: + - type: Resource + resource: + name: cpu + target: + type: Utilization + averageUtilization: 50 +``` \ No newline at end of file diff --git a/src/main.py b/src/main.py new file mode 100755 index 0000000..04ff9a4 --- /dev/null +++ b/src/main.py @@ -0,0 +1,86 @@ +```python +import os +from ai_model import gpt4 +from email_handler import mime_handler +from scheduler import google_calendar, microsoft_graph +from integration import rest_api, graphql_api +from frontend import react_app, vue_app +from backend import node_app, django_app +from microservices import service1, service2 +from docker import dockerfile1, dockerfile2 +from kubernetes import kube_config +from security import encryption, oauth2 +from database import postgresql, mongodb +from agile import scrum, kanban +from testing import tdd, bdd +from cicd import jenkinsfile, gitlab_ci + +# Set up environment variables +USER_EMAIL = os.getenv('USER_EMAIL') +USER_CREDENTIALS = os.getenv('USER_CREDENTIALS') +DB_CONNECTION = os.getenv('DB_CONNECTION') + +# Initialize AI model +ai_model = gpt4.GPT4() + +# Initialize email handler +email_handler = mime_handler.MimeHandler(USER_EMAIL, USER_CREDENTIALS) + +# Initialize schedulers +google_scheduler = google_calendar.GoogleCalendar(USER_EMAIL, USER_CREDENTIALS) +microsoft_scheduler = microsoft_graph.MicrosoftGraph(USER_EMAIL, USER_CREDENTIALS) + +# Initialize APIs +rest_api = rest_api.RestAPI() +graphql_api = graphql_api.GraphQLAPI() + +# Initialize front-end apps +react_app = react_app.ReactApp() +vue_app = vue_app.VueApp() + +# Initialize back-end apps +node_app = node_app.NodeApp(DB_CONNECTION) +django_app = django_app.DjangoApp(DB_CONNECTION) + +# Initialize microservices +service1 = service1.Service1() +service2 = service2.Service2() + +# Initialize Dockerfiles +dockerfile1 = dockerfile1.Dockerfile1() +dockerfile2 = dockerfile2.Dockerfile2() + +# Initialize Kubernetes config +kube_config = kube_config.KubeConfig() + +# Initialize security modules +encryption = encryption.Encryption() +oauth2 = oauth2.OAuth2(USER_CREDENTIALS) + +# Initialize databases +postgresql = postgresql.PostgreSQL(DB_CONNECTION) +mongodb = mongodb.MongoDB(DB_CONNECTION) + +# Initialize Agile methodologies +scrum = scrum.Scrum() +kanban = kanban.Kanban() + +# Initialize testing methodologies +tdd = tdd.TDD() +bdd = bdd.BDD() + +# Initialize CI/CD pipelines +jenkinsfile = jenkinsfile.Jenkinsfile() +gitlab_ci = gitlab_ci.GitLabCI() + +# Start the main loop +while True: + # Check for new emails + new_email = email_handler.check_email() + if new_email: + # Process the email with the AI model + task = ai_model.process_email(new_email) + # Schedule the task + google_scheduler.schedule_task(task) + microsoft_scheduler.schedule_task(task) +``` diff --git a/src/microservices/service1.py b/src/microservices/service1.py new file mode 100755 index 0000000..89878c6 --- /dev/null +++ b/src/microservices/service1.py @@ -0,0 +1,54 @@ +```python +from flask import Flask, request +from src.ai_model.gpt4 import process_query +from src.email_handler.mime_handler import handle_email +from src.scheduler.google_calendar import schedule_task +from src.security.oauth2 import authenticate_user +from src.database.postgresql import connect_db + +app = Flask(__name__) + +@app.route('/process_query', methods=['POST']) +def process_user_query(): + data = request.get_json() + user_email = data.get('USER_EMAIL') + user_credentials = data.get('USER_CREDENTIALS') + query = data.get('query') + + # Authenticate user + user = authenticate_user(user_email, user_credentials) + if not user: + return {'error': 'Invalid credentials'}, 401 + + # Process the query using GPT-4 model + response = process_query(query) + + return {'response': response}, 200 + +@app.route('/handle_email', methods=['POST']) +def process_email(): + data = request.get_json() + user_email = data.get('USER_EMAIL') + email_data = data.get('email_data') + + # Handle the email + handle_email(user_email, email_data) + + return {'status': 'Email processed successfully'}, 200 + +@app.route('/schedule_task', methods=['POST']) +def schedule_user_task(): + data = request.get_json() + user_email = data.get('USER_EMAIL') + task_data = data.get('task_data') + + # Schedule the task + schedule_task(user_email, task_data) + + return {'status': 'Task scheduled successfully'}, 200 + +if __name__ == '__main__': + # Connect to the database + connect_db() + app.run(host='0.0.0.0', port=5000) +``` \ No newline at end of file diff --git a/src/microservices/service2.py b/src/microservices/service2.py new file mode 100755 index 0000000..bac0ad6 --- /dev/null +++ b/src/microservices/service2.py @@ -0,0 +1,35 @@ +```python +import os +from flask import Flask, request +from src.ai_model.gpt4 import process_query +from src.scheduler.google_calendar import schedule_task +from src.security.oauth2 import authenticate_user + +app = Flask(__name__) + +@app.route('/process_query', methods=['POST']) +def handle_query(): + data = request.get_json() + user_email = data.get('user_email') + query = data.get('query') + + # Authenticate user + user_credentials = authenticate_user(user_email) + if not user_credentials: + return {'error': 'Invalid user credentials'}, 401 + + # Process query using GPT-4 model + task = process_query(query) + if not task: + return {'error': 'Unable to process query'}, 400 + + # Schedule task + task_status = schedule_task(user_email, user_credentials, task) + if not task_status: + return {'error': 'Unable to schedule task'}, 500 + + return {'message': 'Task scheduled successfully'}, 200 + +if __name__ == '__main__': + app.run(host='0.0.0.0', port=int(os.environ.get('PORT', 8080))) +``` \ No newline at end of file diff --git a/src/scheduler/google_calendar.py b/src/scheduler/google_calendar.py new file mode 100755 index 0000000..963ad24 --- /dev/null +++ b/src/scheduler/google_calendar.py @@ -0,0 +1,73 @@ +```python +import datetime +from googleapiclient.discovery import build +from google_auth_oauthlib.flow import InstalledAppFlow +from google.auth.transport.requests import Request + +# If modifying these SCOPES, delete the file token.pickle. +SCOPES = ['https://www.googleapis.com/auth/calendar'] + +def scheduleTask(task): + """Shows basic usage of the Google Calendar API. + Lists the next 10 events on the user's calendar. + """ + creds = None + # The file token.pickle stores the user's access and refresh tokens, and is + # created automatically when the authorization flow completes for the first + # time. + if os.path.exists('token.pickle'): + with open('token.pickle', 'rb') as token: + creds = pickle.load(token) + # If there are no (valid) credentials available, let the user log in. + if not creds or not creds.valid: + if creds and creds.expired and creds.refresh_token: + creds.refresh(Request()) + else: + flow = InstalledAppFlow.from_client_secrets_file( + 'credentials.json', SCOPES) + creds = flow.run_local_server(port=0) + # Save the credentials for the next run + with open('token.pickle', 'wb') as token: + pickle.dump(creds, token) + + service = build('calendar', 'v3', credentials=creds) + + # Call the Calendar API + now = datetime.datetime.utcnow().isoformat() + 'Z' # 'Z' indicates UTC time + print('Getting the upcoming 10 events') + events_result = service.events().list(calendarId='primary', timeMin=now, + maxResults=10, singleEvents=True, + orderBy='startTime').execute() + events = events_result.get('items', []) + + if not events: + print('No upcoming events found.') + for event in events: + start = event['start'].get('dateTime', event['start'].get('date')) + print(start, event['summary']) + + # Add a new event + event = { + 'summary': task['summary'], + 'location': task['location'], + 'description': task['description'], + 'start': { + 'dateTime': task['start_time'], + 'timeZone': 'America/Los_Angeles', + }, + 'end': { + 'dateTime': task['end_time'], + 'timeZone': 'America/Los_Angeles', + }, + 'reminders': { + 'useDefault': False, + 'overrides': [ + {'method': 'email', 'minutes': 24 * 60}, + {'method': 'popup', 'minutes': 10}, + ], + }, + } + + event = service.events().insert(calendarId='primary', body=event).execute() + print('Event created: %s' % (event.get('htmlLink'))) +``` \ No newline at end of file diff --git a/src/scheduler/microsoft_graph.py b/src/scheduler/microsoft_graph.py new file mode 100755 index 0000000..c8e8cc4 --- /dev/null +++ b/src/scheduler/microsoft_graph.py @@ -0,0 +1,71 @@ +```python +import os +import requests +from datetime import datetime +from msal import ConfidentialClientApplication + +# Load user credentials and email from environment variables +USER_CREDENTIALS = os.getenv("USER_CREDENTIALS") +USER_EMAIL = os.getenv("USER_EMAIL") + +# Initialize MSAL client application +client_app = ConfidentialClientApplication( + USER_CREDENTIALS["client_id"], + authority=USER_CREDENTIALS["authority"], + client_credential=USER_CREDENTIALS["client_secret"], +) + +# Define scopes for Microsoft Graph API +SCOPES = ["https://graph.microsoft.com/.default"] + +# Function to get access token +def get_access_token(): + result = None + result = client_app.acquire_token_silent(SCOPES, account=None) + + if not result: + result = client_app.acquire_token_for_client(SCOPES) + + if "access_token" in result: + return result["access_token"] + else: + raise Exception(result.get("error_description")) + +# Function to schedule a task +def schedule_task(task): + # Get access token + access_token = get_access_token() + + # Define endpoint and headers + endpoint = f"https://graph.microsoft.com/v1.0/users/{USER_EMAIL}/calendar/events" + headers = { + "Authorization": f"Bearer {access_token}", + "Content-Type": "application/json" + } + + # Define event body + event_body = { + "subject": task["subject"], + "start": { + "dateTime": task["start_time"].isoformat(), + "timeZone": "UTC" + }, + "end": { + "dateTime": task["end_time"].isoformat(), + "timeZone": "UTC" + }, + "body": { + "contentType": "text", + "content": task["description"] + } + } + + # Send POST request to create a new event + response = requests.post(endpoint, headers=headers, json=event_body) + + # Check response status + if response.status_code == 201: + print(f"Task '{task['subject']}' has been scheduled successfully.") + else: + print(f"Failed to schedule task '{task['subject']}'. Error: {response.text}") +``` \ No newline at end of file diff --git a/src/security/encryption.py b/src/security/encryption.py new file mode 100755 index 0000000..3df6900 --- /dev/null +++ b/src/security/encryption.py @@ -0,0 +1,71 @@ +```python +from cryptography.fernet import Fernet +from cryptography.hazmat.primitives import hashes +from cryptography.hazmat.primitives.asymmetric import rsa +from cryptography.hazmat.primitives import serialization +from cryptography.hazmat.primitives.asymmetric import padding +from cryptography.hazmat.primitives.serialization import load_pem_private_key + +# AES-256 encryption +def generate_key(): + return Fernet.generate_key() + +def encrypt_data(key, data): + f = Fernet(key) + encrypted = f.encrypt(data) + return encrypted + +def decrypt_data(key, encrypted_data): + f = Fernet(key) + decrypted = f.decrypt(encrypted_data) + return decrypted + +# RSA encryption +def generate_rsa_key(): + private_key = rsa.generate_private_key( + public_exponent=65537, + key_size=2048 + ) + public_key = private_key.public_key() + return private_key, public_key + +def rsa_encrypt(public_key, data): + encrypted = public_key.encrypt( + data, + padding.OAEP( + mgf=padding.MGF1(algorithm=hashes.SHA256()), + algorithm=hashes.SHA256(), + label=None + ) + ) + return encrypted + +def rsa_decrypt(private_key, encrypted_data): + decrypted = private_key.decrypt( + encrypted_data, + padding.OAEP( + mgf=padding.MGF1(algorithm=hashes.SHA256()), + algorithm=hashes.SHA256(), + label=None + ) + ) + return decrypted + +def save_rsa_key(private_key, filename): + pem = private_key.private_bytes( + encoding=serialization.Encoding.PEM, + format=serialization.PrivateFormat.PKCS8, + encryption_algorithm=serialization.NoEncryption() + ) + with open(filename, 'wb') as f: + f.write(pem) + +def load_rsa_key(filename): + with open(filename, 'rb') as f: + pem = f.read() + private_key = load_pem_private_key( + pem, + password=None + ) + return private_key +``` \ No newline at end of file diff --git a/src/security/oauth2.py b/src/security/oauth2.py new file mode 100755 index 0000000..a366896 --- /dev/null +++ b/src/security/oauth2.py @@ -0,0 +1,34 @@ +```python +import os +from oauthlib.oauth2 import BackendApplicationClient +from requests_oauthlib import OAuth2Session + +# Get user credentials from environment variables +USER_EMAIL = os.getenv('USER_EMAIL') +USER_CREDENTIALS = os.getenv('USER_CREDENTIALS') + +# OAuth2 client setup +client = BackendApplicationClient(client_id=USER_EMAIL) +oauth = OAuth2Session(client=client) + +def get_token(): + """ + Function to get OAuth2 token + """ + token = oauth.fetch_token(token_url='https://provider.com/oauth2/token', + client_id=USER_EMAIL, + client_secret=USER_CREDENTIALS) + return token + +def oauth2_authenticate(): + """ + Function to authenticate user using OAuth2 + """ + token = get_token() + if token: + print("Authentication successful") + else: + print("Authentication failed") + +oauth2_authenticate() +``` \ No newline at end of file diff --git a/src/testing/bdd.py b/src/testing/bdd.py new file mode 100755 index 0000000..df630fb --- /dev/null +++ b/src/testing/bdd.py @@ -0,0 +1,62 @@ +```python +from behave import given, when, then +from src.ai_model.gpt4 import GPT4Model +from src.email_handler.mime_handler import MimeHandler +from src.scheduler.google_calendar import GoogleCalendar +from src.scheduler.microsoft_graph import MicrosoftGraph +from src.security.oauth2 import OAuth2 +from src.database.postgresql import PostgreSQL +from src.database.mongodb import MongoDB + +@given('the AI model is initialized') +def step_given_ai_model_is_initialized(context): + context.ai_model = GPT4Model() + +@given('the email handler is initialized') +def step_given_email_handler_is_initialized(context): + context.email_handler = MimeHandler() + +@given('the Google Calendar scheduler is initialized') +def step_given_google_calendar_scheduler_is_initialized(context): + context.google_calendar = GoogleCalendar() + +@given('the Microsoft Graph scheduler is initialized') +def step_given_microsoft_graph_scheduler_is_initialized(context): + context.microsoft_graph = MicrosoftGraph() + +@given('the OAuth2 security is initialized') +def step_given_oauth2_security_is_initialized(context): + context.oauth2 = OAuth2() + +@given('the PostgreSQL database is initialized') +def step_given_postgresql_database_is_initialized(context): + context.postgresql = PostgreSQL() + +@given('the MongoDB database is initialized') +def step_given_mongodb_database_is_initialized(context): + context.mongodb = MongoDB() + +@when('the user sends an email') +def step_when_user_sends_an_email(context): + context.email_handler.handleEmail() + +@when('the user schedules a task') +def step_when_user_schedules_a_task(context): + context.ai_model.scheduleTask() + +@then('the email should be processed') +def step_then_email_should_be_processed(context): + assert context.email_handler.processed + +@then('the task should be scheduled') +def step_then_task_should_be_scheduled(context): + assert context.ai_model.scheduled + +@then('the user data should be secure') +def step_then_user_data_should_be_secure(context): + assert context.oauth2.secure + +@then('the database should be updated') +def step_then_database_should_be_updated(context): + assert context.postgresql.updated or context.mongodb.updated +``` \ No newline at end of file diff --git a/src/testing/tdd.py b/src/testing/tdd.py new file mode 100755 index 0000000..a80e52d --- /dev/null +++ b/src/testing/tdd.py @@ -0,0 +1,58 @@ +```python +import unittest +from src.ai_model.gpt4 import GPT4Model +from src.email_handler.mime_handler import MimeHandler +from src.scheduler.google_calendar import GoogleCalendar +from src.scheduler.microsoft_graph import MicrosoftGraph +from src.security.oauth2 import OAuth2 +from src.database.postgresql import PostgreSQL +from src.database.mongodb import MongoDB + +class TestAIModel(unittest.TestCase): + def setUp(self): + self.model = GPT4Model() + + def test_handleEmail(self): + self.assertTrue(self.model.handleEmail()) + + def test_scheduleTask(self): + self.assertTrue(self.model.scheduleTask()) + +class TestEmailHandler(unittest.TestCase): + def setUp(self): + self.handler = MimeHandler() + + def test_handleEmail(self): + self.assertTrue(self.handler.handleEmail()) + +class TestSchedulers(unittest.TestCase): + def setUp(self): + self.google_cal = GoogleCalendar() + self.ms_graph = MicrosoftGraph() + + def test_scheduleTask(self): + self.assertTrue(self.google_cal.scheduleTask()) + self.assertTrue(self.ms_graph.scheduleTask()) + +class TestOAuth2(unittest.TestCase): + def setUp(self): + self.oauth2 = OAuth2() + + def test_encryptData(self): + self.assertTrue(self.oauth2.encryptData()) + + def test_decryptData(self): + self.assertTrue(self.oauth2.decryptData()) + +class TestDatabases(unittest.TestCase): + def setUp(self): + self.postgres = PostgreSQL() + self.mongodb = MongoDB() + + def test_connectDB(self): + self.assertTrue(self.postgres.connectDB()) + self.assertTrue(self.mongodb.connectDB()) + +if __name__ == '__main__': + unittest.main() +``` \ No newline at end of file diff --git a/task_automation.py b/task_automation.py new file mode 100644 index 0000000..1ec62b4 --- /dev/null +++ b/task_automation.py @@ -0,0 +1,41 @@ +```python +import datetime +from ai_assistant.scheduler import schedule +from ai_assistant.email_notifications import emailNotification + +class TaskAutomation: + def __init__(self, user_profile, task_list): + self.user_profile = user_profile + self.task_list = task_list + + def automateTask(self, task): + if task['due_date'] < datetime.datetime.now(): + return "Task is already overdue!" + else: + schedule(task['due_date'], task['task_id']) + emailNotification(self.user_profile['email'], "New task scheduled: " + task['task_name']) + return "Task scheduled successfully!" + + def checkTasks(self): + for task in self.task_list: + if task['due_date'] < datetime.datetime.now(): + emailNotification(self.user_profile['email'], "Task is overdue: " + task['task_name']) + elif task['due_date'] - datetime.datetime.now() < datetime.timedelta(days=1): + emailNotification(self.user_profile['email'], "Task is due soon: " + task['task_name']) + + def updateTask(self, task_id, new_task): + for task in self.task_list: + if task['task_id'] == task_id: + task = new_task + emailNotification(self.user_profile['email'], "Task updated: " + task['task_name']) + return "Task updated successfully!" + return "Task not found!" + + def deleteTask(self, task_id): + for task in self.task_list: + if task['task_id'] == task_id: + self.task_list.remove(task) + emailNotification(self.user_profile['email'], "Task deleted: " + task['task_name']) + return "Task deleted successfully!" + return "Task not found!" +``` \ No newline at end of file diff --git a/travel_planning.py b/travel_planning.py new file mode 100644 index 0000000..6a78968 --- /dev/null +++ b/travel_planning.py @@ -0,0 +1,37 @@ +```python +import datetime +from geopy.distance import geodesic +from ai_assistant.scheduler import schedule + +class TravelPlanner: + def __init__(self, user_profile): + self.user_profile = user_profile + self.schedule = schedule + + def calculate_travel_time(self, start, end): + # This is a placeholder function, in a real-world application we would use a more accurate method + # such as Google Maps API to calculate travel time + distance = geodesic(start, end).miles + speed = 60 # assuming an average speed of 60 miles per hour + return distance / speed + + def plan_travel(self, meeting): + start_location = self.user_profile['location'] + end_location = meeting['location'] + travel_time = self.calculate_travel_time(start_location, end_location) + + # Check if there is enough time to travel to the meeting + previous_meeting_end = self.schedule.get_previous_meeting_end(meeting) + if previous_meeting_end + datetime.timedelta(hours=travel_time) > meeting['start']: + return False + + # Add travel time to the schedule + self.schedule.add_travel_time(meeting, travel_time) + return True + + def update_travel_plan(self): + for meeting in self.schedule.get_meetings(): + if not self.plan_travel(meeting): + self.schedule.reschedule_meeting(meeting) +``` +This Python code defines a `TravelPlanner` class that uses the user's location and the meeting's location to calculate travel time and update the schedule accordingly. It uses the geopy library to calculate the distance between two locations and assumes an average speed of 60 miles per hour. If there is not enough time to travel to a meeting, the meeting is rescheduled. \ No newline at end of file diff --git a/voice_recognition.py b/voice_recognition.py new file mode 100644 index 0000000..f868bdc --- /dev/null +++ b/voice_recognition.py @@ -0,0 +1,43 @@ +```python +import speech_recognition as sr + +class VoiceRecognition: + def __init__(self): + self.recognizer = sr.Recognizer() + + def listen(self): + with sr.Microphone() as source: + print("Listening...") + audio = self.recognizer.listen(source) + try: + text = self.recognizer.recognize_google(audio) + return text + except: + print("Sorry, I did not get that") + return None + + def recognize_voice(self, command): + if 'schedule' in command: + from ai_assistant.scheduler import schedule + schedule() + elif 'zoom invite' in command: + from ai_assistant.zoom_invites import zoomInvite + zoomInvite() + elif 'google meet' in command: + from ai_assistant.google_meets import googleMeet + googleMeet() + elif 'email notification' in command: + from ai_assistant.email_notifications import emailNotification + emailNotification() + # Add more elif conditions for other commands + else: + print("Command not recognized") + +if __name__ == "__main__": + vr = VoiceRecognition() + while True: + command = vr.listen() + if command: + vr.recognize_voice(command) +``` +This Python script uses the SpeechRecognition library to listen to the user's voice and convert it into text. It then checks if the text contains certain keywords and calls the corresponding function from the appropriate file. If the command is not recognized, it prints a message to the user. The script runs in an infinite loop, continuously listening for commands. \ No newline at end of file diff --git a/zoom_invites.py b/zoom_invites.py new file mode 100644 index 0000000..bb0eefd --- /dev/null +++ b/zoom_invites.py @@ -0,0 +1,48 @@ +```python +import json +import requests +from datetime import datetime + +from shared_dependencies import UserProfileSchema, MeetingSchema + +class ZoomInvite: + def __init__(self, user_profile: UserProfileSchema, meeting_data: MeetingSchema): + self.user_profile = user_profile + self.meeting_data = meeting_data + + def generate_zoom_invite(self): + zoom_api_url = "https://api.zoom.us/v2/users/{}/meetings".format(self.user_profile.zoom_user_id) + + headers = { + "Authorization": "Bearer {}".format(self.user_profile.zoom_jwt_token), + "Content-Type": "application/json" + } + + meeting_time = datetime.strptime(self.meeting_data.date_time, "%Y-%m-%dT%H:%M:%S") + + payload = { + "topic": self.meeting_data.topic, + "type": 2, + "start_time": meeting_time.strftime("%Y-%m-%dT%H:%M:%S"), + "duration": self.meeting_data.duration, + "timezone": self.user_profile.timezone, + "settings": { + "host_video": self.meeting_data.host_video, + "participant_video": self.meeting_data.participant_video, + "join_before_host": self.meeting_data.join_before_host, + "mute_upon_entry": self.meeting_data.mute_upon_entry, + "waiting_room": self.meeting_data.waiting_room, + "auto_recording": self.meeting_data.auto_recording + } + } + + response = requests.post(zoom_api_url, headers=headers, data=json.dumps(payload)) + + if response.status_code == 201: + return response.json()["join_url"] + else: + raise Exception("Failed to create Zoom invite. Error: {}".format(response.text)) + +zoom_invite = ZoomInvite(user_profile, meeting_data) +zoom_link = zoom_invite.generate_zoom_invite() +``` \ No newline at end of file