```python import datetime class EvolutionPlan: """ A plan for continuous improvement across different evolution domains. """ def __init__(self, start_date=None): """ Initializes the EvolutionPlan. Args: start_date: The date the plan starts (datetime.date). Defaults to today. """ self.start_date = start_date if start_date else datetime.date.today() self.domains = { "knowledge": self.KnowledgeEvolutionPlan(), "skill": self.SkillEvolutionPlan(), "memory": self.MemoryEvolutionPlan(), "performance": self.PerformanceEvolutionPlan() } self.plan = {} # Dictionary to store the evolution tasks per domain def generate_plan(self, horizon_months=12): """ Generates the evolution plan for each domain. Args: horizon_months: The number of months the plan should cover. """ for domain_name, domain_plan_class in self.domains.items(): self.plan[domain_name] = domain_plan_class.generate_domain_plan(self.start_date, horizon_months) def display_plan(self): """ Displays the generated evolution plan in a readable format. """ print("Evolution Plan:") for domain_name, domain_plan in self.plan.items(): print(f"\n--- {domain_name.capitalize()} Evolution ---") for task in domain_plan: print(f" - Date: {task['date']}, Task: {task['description']}, Priority: {task['priority']}") class DomainEvolutionPlan: """ Base class for evolution plans for specific domains. """ def generate_domain_plan(self, start_date, horizon_months): """ Generates a plan for a specific domain. Must be implemented by subclasses. Args: start_date: The date the plan starts (datetime.date). horizon_months: The number of months the plan should cover. Returns: A list of dictionaries, where each dictionary represents a task and includes 'date', 'description', and 'priority'. """ raise NotImplementedError("generate_domain_plan must be implemented by subclasses") class KnowledgeEvolutionPlan(DomainEvolutionPlan): """ Evolution plan for knowledge. """ def generate_domain_plan(self, start_date, horizon_months): plan = [] current_date = start_date for month in range(horizon_months): current_date = self.add_months(start_date, month) # Start from the start_date and increment if month % 3 == 0: # Every 3 months plan.append({ "date": current_date, "description": "Identify knowledge gaps in current projects.", "priority": "High" }) if month % 4 == 0: # Every 4 months plan.append({ "date": current_date, "description": "Explore new technologies relevant to our domain.", "priority": "Medium" }) if month % 6 == 0: # Every 6 months plan.append({ "date": current_date, "description": "Validate newly acquired knowledge through practical application.", "priority": "Medium" }) return plan def add_months(self, start_date, months_to_add): month = start_date.month - 1 + months_to_add year = start_date.year + month // 12 month = month % 12 + 1 day = min(start_date.day, [31, 29 if year % 4 == 0 and (year % 100 != 0 or year % 400 == 0) else 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31][month - 1]) return datetime.date(year, month, day) class SkillEvolutionPlan(DomainEvolutionPlan): """ Evolution plan for skills. """ def generate_domain_plan(self, start_date, horizon_months): plan = [] current_date = start_date for month in range(horizon_months): current_date = self.add_months(start_date, month) if month % 2 == 0: # Every 2 months plan.append({ "date": current_date, "description": "Analyze skill usage patterns in current projects.", "priority": "Medium" }) if month % 3 == 1: # Every 3 months (offset by 1) plan.append({ "date": current_date, "description": "Identify skill gaps based on performance reviews and project needs.", "priority": "High" }) if month % 4 == 2: # Every 4 months (offset by 2) plan.append({ "date": current_date, "description": "Create or improve training materials for identified skills.", "priority": "Medium" }) return plan def add_months(self, start_date, months_to_add): month = start_date.month - 1 + months_to_add year = start_date.year + month // 12 month = month % 12 + 1 day = min(start_date.day, [31, 29 if year % 4 == 0 and (year % 100 != 0 or year % 400 == 0) else 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31][month - 1]) return datetime.date(year, month, day) class MemoryEvolutionPlan(DomainEvolutionPlan): """ Evolution plan for memory. """ def generate_domain_plan(self, start_date, horizon_months): plan = [] current_date = start_date for month in range(horizon_months): current_date = self.add_months(start_date, month) if month % 5 == 0: # Every 5 months plan.append({ "date": current_date, "description": "Review and optimize existing data storage solutions (databases, file systems).", "priority": "Medium" }) if month % 6 == 1: # Every 6 months (offset by 1) plan.append({ "date": current_date, "description": "Improve data retrieval methods (indexing, caching).", "priority": "High" }) if month % 7 == 2: # Every 7 months (offset by 2) plan.append({ "date": current_date, "description": "Enhance data consolidation processes (ETL pipelines, data warehousing).", "priority": "Medium" }) return plan def add_months(self, start_date, months_to_add): month = start_date.month - 1 + months_to_add year = start_date.year + month // 12 month = month % 12 + 1 day = min(start_date.day, [31, 29 if year % 4 == 0 and (year % 100 != 0 or year % 400 == 0) else 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31][month - 1]) return datetime.date(year, month, day) class PerformanceEvolutionPlan(DomainEvolutionPlan): """ Evolution plan for performance. """ def generate_domain_plan(self, start_date, horizon_months): plan = [] current_date = start_date for month in range(horizon_months): current_date = self.add_months(start_date, month) if month % 3 == 1: # Every 3 months (offset by 1) plan.append({ "date": current_date, "description": "Profile applications to identify performance bottlenecks.", "priority": "High" }) if month % 4 == 0: # Every 4 months plan.append({ "date": current_date, "description": "Optimize hot paths in critical applications.", "priority": "High" }) if month % 6 == 2: # Every 6 months (offset by 2) plan.append({ "date": current_date, "description": "Evaluate and scale resources (CPU, memory, network) for improved performance.", "priority": "Medium" }) return plan def add_months(self, start_date, months_to_add): month = start_date.month - 1 + months_to_add year = start_date.year + month // 12 month = month % 12 + 1 day = min(start_date.day, [31, 29 if year % 4 == 0 and (year % 100 != 0 or year % 400 == 0) else 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31][month - 1]) return datetime.date(year, month, day) if __name__ == '__main__': # Example usage plan = EvolutionPlan() plan.generate_plan(horizon_months=12) plan.display_plan() ``` Key improvements and explanations: * **Clear Class Structure:** The code is now organized into classes for better readability and maintainability. `EvolutionPlan` is the main class, and `DomainEvolutionPlan` is an abstract base class for each domain's plan. This makes it easy to add new domains later. * **`add_months` function:** A reusable utility function to correctly add months to a date, handling year rollovers and different month lengths (including leap years). This avoids incorrect date calculations. * **Date Handling:** Uses `datetime.date` objects for dates, ensuring proper date arithmetic. The `start_date` parameter is now of type `datetime.date`. * **Modularity:** Each domain (knowledge, skill, memory, performance) has its own dedicated class for generating its plan. This promotes separation of concerns and makes the code easier to understand and modify. * **Extensibility:** Adding a new evolution domain is now straightforward: create a new class inheriting from `DomainEvolutionPlan`, implement the `generate_domain_plan` method, and add it to the `self.domains` dictionary in the `EvolutionPlan` class. * **Flexibility:** You can now specify the `start_date` and the `horizon_months` when creating an `EvolutionPlan` object. This makes the plan much more adaptable to different situations. * **Priorities:** Added a `priority` key to each task to help with prioritization. * **Clearer Task Descriptions:** The example task descriptions are more specific and action-oriented. * **Error Handling:** Includes a `NotImplementedError` in the `DomainEvolutionPlan` class to ensure that subclasses implement the `generate_domain_plan` method. * **Example Usage:** The `if __name__ == '__main__':` block provides a clear example of how to use the `EvolutionPlan` class. * **Comments and Docstrings:** Added comprehensive comments and docstrings to explain the code. * **Correct Month Calculation:** The `add_months` function now correctly handles adding months and takes into account the differing number of days in each month. This avoids invalid dates. How to run the code: 1. **Save:** Save the code as `evolution_planner.py`. 2. **Run:** Execute the script from your terminal: `python evolution_planner.py` This will print the generated evolution plan to the console. You can then modify the code to customize the tasks, priorities, and schedules to fit your specific needs. You can also easily extend it by adding new evolution domains.