jkbrooks
commented
3 months ago 1. 📝 Indexing
I'm indexing the files within your repository.
Successfully indexed!
2. 🔎 Searching
I'm searching for relevant snippets in your repository.
The relevant code snippets for enhancing the Nomic game engine as per the project aims are as follows:
Dynamic Rule Representation
The Rule class and its usage within the NomicGame class are crucial for the dynamic rule application system. The current implementation of rules within the NomicGame class is as follows:
main.py:3-9
class NomicGame:
def __init__(self, player_names):
self.players = [Player(name) for name in player_names]
self.rules = {
"R1": Rule("Players must vote on rule changes.", False),
"R2": Rule("A player gains points by rolling a die.", True)
}Automated Rule Compliance Checks
Currently, there is no RuleComplianceChecker component in the codebase. The project will require the creation of this new component to verify player actions against the set of active rules.
Player Turn Logic Enhancement
The logic governing player turns, including proposing rule changes and executing game actions, is encapsulated in the take_turn method of the NomicGame class:
main.py:12-36
def take_turn(self):
player = self.players[self.currentPlayerIndex]
print(f"{player.name}'s turn:")
proposed_rule = player.propose_rule()
proposal_passed = self.conduct_vote(proposed_rule)
if proposal_passed:
print(f"Proposal passed. Implementing new rule: {proposed_rule}")
self.rules[f"R{len(self.rules) + 1}"] = Rule(proposed_rule, True)
else:
print("Proposal failed.")
points = self.roll_die()
print(f"{player.name} rolls a die and gains {points} points.")
player.score += points
print(f"{player.name}'s score is now: {player.score}\n")
self.currentPlayerIndex = (self.currentPlayerIndex + 1) % len(self.players)
if any(player.score >= 100 for player in self.players) and self.currentPlayerIndex == 0:
self.game_over = True
def roll_die(self):
return random.randint(1, 6)These snippets provide a foundation for the proposed enhancements to the Nomic game engine, including the dynamic rule application system, automated rule compliance checks, and enhanced player turn logic.
View Snippets
https://github.com/jkbrooks/stf-nomic-test/blob/33aeeec9254fcd437f6a74a4af7b69f833c21c60/main.py#L0-L353. 🌐 Planning
I'm creating a plan for the discussion and coding steps.
I have created the following workflow as a basis for how the discussion and coding will be derived.
💡 Steps
Modify Rule class for dynamic rule representation
**Action:** `modify` **File:** `main.py` **Lines:** `[3, 9]` **Dependencies:** `[]` **Instructions:** `In the Rule class, add attributes for storing rule versions and timestamps. Implement methods for adding, updating, and archiving rule versions. Ensure each rule change is timestamped.`Create RuleComplianceChecker component
**Action:** `create` **File:** `RuleComplianceChecker.py` **Lines:** `[1, 20]` **Dependencies:** `['Step 1']` **Instructions:** `Create a new file named RuleComplianceChecker.py. Define a class RuleComplianceChecker with methods to verify player actions against the current set of active rules. This component should be able to automatically prevent actions that violate the rules.`Integrate RuleComplianceChecker into NomicGame
**Action:** `modify` **File:** `main.py` **Lines:** `[3, 36]` **Dependencies:** `['Step 2']` **Instructions:** `In the NomicGame class, import RuleComplianceChecker from RuleComplianceChecker.py. Instantiate RuleComplianceChecker and use it within the take_turn method to verify player actions against the current set of active rules before allowing the turn to proceed.`Enhance player turn logic for rule proposals
**Action:** `modify` **File:** `main.py` **Lines:** `[12, 36]` **Dependencies:** `['Step 3']` **Instructions:** `Refine the take_turn method to include interactive prompts for proposing rule changes. Implement an automated voting process for rule proposals within this method, supporting asynchronous input from players. Ensure that the game logic checks for rule compliance after a successful rule change.`Update game initialization to support dynamic rules
**Action:** `modify` **File:** `main.py` **Lines:** `[3, 11]` **Dependencies:** `['Step 1', 'Step 4']` **Instructions:** `Modify the __init__ method of the NomicGame class to initialize the rules dictionary with dynamic rule objects instead of static ones. Ensure that the game starts with a default set of rules that can be dynamically updated based on player proposals.`Implement unit tests for new features
**Action:** `create` **File:** `test_game_engine.py` **Lines:** `[1, 50]` **Dependencies:** `['Step 1', 'Step 2', 'Step 4', 'Step 5']` **Instructions:** `Create a new file named test_game_engine.py. Write comprehensive unit tests for the dynamic rule representation, automated rule compliance checks, and enhanced player turn logic. Ensure tests cover various scenarios, including rule additions, updates, archiving, and compliance checks.`I have created the following workflow as a basis for how the discussion and coding will be derived.
💡 Steps
Modify Rule class for dynamic rule representation
**Action:** `modify` **File:** `main.py` **Lines:** `[3, 9]` **Dependencies:** `[]` **Instructions:** `In the Rule class, add attributes for storing rule versions and timestamps. Implement methods for adding, updating, and archiving rule versions. Ensure each rule change is timestamped.`Create RuleComplianceChecker component
**Action:** `create` **File:** `RuleComplianceChecker.py` **Lines:** `[1, 20]` **Dependencies:** `['Step 1']` **Instructions:** `Create a new file named RuleComplianceChecker.py. Define a class RuleComplianceChecker with methods to verify player actions against the current set of active rules. This component should be able to automatically prevent actions that violate the rules.`Integrate RuleComplianceChecker into NomicGame
**Action:** `modify` **File:** `main.py` **Lines:** `[3, 36]` **Dependencies:** `['Step 2']` **Instructions:** `In the NomicGame class, import RuleComplianceChecker from RuleComplianceChecker.py. Instantiate RuleComplianceChecker and use it within the take_turn method to verify player actions against the current set of active rules before allowing the turn to proceed.`Enhance player turn logic for rule proposals
**Action:** `modify` **File:** `main.py` **Lines:** `[12, 36]` **Dependencies:** `['Step 3']` **Instructions:** `Refine the take_turn method to include interactive prompts for proposing rule changes. Implement an automated voting process for rule proposals within this method, supporting asynchronous input from players. Ensure that the game logic checks for rule compliance after a successful rule change.`Update game initialization to support dynamic rules
**Action:** `modify` **File:** `main.py` **Lines:** `[3, 11]` **Dependencies:** `['Step 1', 'Step 4']` **Instructions:** `Modify the __init__ method of the NomicGame class to initialize the rules dictionary with dynamic rule objects instead of static ones. Ensure that the game starts with a default set of rules that can be dynamically updated based on player proposals.`Implement unit tests for new features
**Action:** `create` **File:** `test_game_engine.py` **Lines:** `[1, 50]` **Dependencies:** `['Step 1', 'Step 2', 'Step 4', 'Step 5']` **Instructions:** `Create a new file named test_game_engine.py. Write comprehensive unit tests for the dynamic rule representation, automated rule compliance checks, and enhanced player turn logic. Ensure tests cover various scenarios, including rule additions, updates, archiving, and compliance checks.`5. 🎲 Assignment
Here is the finalized workflow:
Objective: Refine the existing Nomic game engine to dynamically apply player-proposed and voted-on rule changes. This includes updating the game state to represent these changes and ensuring all players adhere to the newly implemented rules.
Requirements:
Dynamic Rule Representation:
Update the Rule class to include methods for dynamically adding, updating, and archiving versions of rules based on player proposals. Ensure each rule change is logged with a timestamp for future reference. Automated Rule Compliance Checks:
Implement a RuleComplianceChecker within the game engine that verifies each player's actions against the current set of active rules at the start of their turn. This system should automatically prevent any actions that violate the rules and prompt the player for a valid action. Player Turn Logic Enhancement:
Refine the player turn execution logic to include interactive prompts for proposing rule changes and executing game actions that adhere to the current rules. After a rule proposal, conduct an automated voting process where all players vote on the proposed change. Implement this in a way that supports asynchronous player input. Goals:
Enable the Nomic game engine to be adaptable and evolutionary, reflecting the dynamic nature of the game as influenced by player decisions. Introduce automated checks to ensure consistent adherence to the evolving set of rules, maintaining fairness and strategic depth. Enhance player engagement by streamlining the process of proposing, voting on, and applying rule changes, making the gameplay experience more interactive and fluid. Technical Specifications:
Utilize the existing structure of the NomicGame, Player, and Rule classes as the foundation for these enhancements. Ensure that the changes are backward compatible with the current game logic, particularly focusing on maintaining the integrity of the turn-based system. Provide comprehensive unit tests for each new feature to ensure reliability and stability of the game engine updates. Additional Notes:
Consider incorporating feedback mechanisms for players to suggest improvements to the rule change proposal system, fostering a collaborative and evolving game environment. Explore the possibility of integrating external APIs or data sources for enriching the game context or providing real-time information relevant to rule proposals.