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To enhance the Nomic game engine to support dynamic rule changes proposed and voted on by players, the following code snippets from the main.py file are relevant:

NomicGame Class Initialization and Rule Definition:

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)
        }
        self.currentPlayerIndex = 0
        self.game_over = False

This snippet shows the initialization of the NomicGame class, including the creation of players and the definition of initial rules.

Game Turn Logic Including Rule Proposal and Voting:

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

This snippet outlines the logic for a player's turn, including proposing a rule, conducting a vote, and updating the game state based on the outcome.

Voting Mechanism:

def conduct_vote(self, proposed_rule):
    votes_for = sum([p.vote(proposed_rule) for p in self.players])
    votes_against = len(self.players) - votes_for
    print(f"Votes for: {votes_for}, Votes against: {votes_against}")
    return votes_for > len(self.players) / 2

This method calculates the votes for and against a proposed rule and determines whether the proposal passes based on a simple majority.

Player and Rule Class Definitions:

class Player:
    def __init__(self, name):
        self.name = name
        self.score = 0

    def propose_rule(self):
        # For the sake of this example, return a static proposed rule
        return "Example proposed rule."

    def vote(self, proposed_rule):
        # Randomly vote for the proposal for the sake of this example
        return random.choice([True, False])

class Rule:
    def __init__(self, description, is_mutable):
        self.description = description
        self.is_mutable = is_mutable

These classes define the structure for players and rules within the game, including methods for proposing rules and voting.

These snippets provide a foundation for implementing the requested enhancements to the Nomic game engine, including dynamic rule changes, rule compliance checking, and an interactive player experience. Further development will involve refining these components and adding comprehensive unit tests to ensure reliability and stability.

View Snippets

https://github.com/jkbrooks/stf-nomic-test/blob/33aeeec9254fcd437f6a74a4af7b69f833c21c60/main.py#L0-L35 https://github.com/jkbrooks/stf-nomic-test/blob/33aeeec9254fcd437f6a74a4af7b69f833c21c60/main.py#L0-L79

3. 🌐 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 to include timestamp and archiving

**Action:** `modify` **File:** `main.py` **Lines:** `[56, 60]` **Dependencies:** `[]` **Instructions:** `In the Rule class, add two new attributes: 'timestamp' to store the datetime when the rule was created or modified, and 'archived' as a boolean to indicate if the rule is archived. Import the datetime module at the beginning of the file. Initialize 'timestamp' with datetime.now() and 'archived' with False in the __init__ method.`

Create RuleComplianceChecker class

**Action:** `create` **File:** `main.py` **Lines:** `[72, 85]` **Dependencies:** `['Step 1']` **Instructions:** `Create a new class named RuleComplianceChecker with a method check_compliance that takes a player action and the current rules as parameters. This method should iterate through the rules and return False if the action violates any rule, True otherwise. Place this class definition below the Rule class.`

Integrate RuleComplianceChecker in take_turn

**Action:** `modify` **File:** `main.py` **Lines:** `[12, 32]` **Dependencies:** `['Step 2']` **Instructions:** `In the NomicGame class's take_turn method, instantiate RuleComplianceChecker and use it to check if the player's action complies with the current rules before allowing the action to proceed. If an action violates a rule, print a message indicating the violation and skip the action. Ensure to import RuleComplianceChecker at the beginning of the file if not already imported.`

Refine player turn logic for interactive rule proposals

**Action:** `modify` **File:** `main.py` **Lines:** `[12, 32]` **Dependencies:** `['Step 3']` **Instructions:** `Modify the take_turn method to include interactive prompts for rule proposals at the beginning of a player's turn. Use input() to collect a proposed rule from the player and then proceed with the existing proposal and voting logic. Ensure the proposed rule is a non-empty string before proceeding to the vote.`

Implement automated voting process

**Action:** `modify` **File:** `main.py` **Lines:** `[37, 41]` **Dependencies:** `['Step 4']` **Instructions:** `Modify the conduct_vote method to simulate an automated voting process for rule changes. Instead of collecting votes from each player, generate votes based on a logic that considers the current game state, such as the number of rules already in play or the scores of the players. This logic should aim to balance the game by favoring rule changes that do not overwhelmingly benefit any single player.`

Add comprehensive unit tests for new features

**Action:** `create` **File:** `tests/test_game_logic.py` **Lines:** `[1, 50]` **Dependencies:** `['Step 1', 'Step 2', 'Step 3', 'Step 4', 'Step 5']` **Instructions:** `Create a new file named test_game_logic.py in the tests directory. In this file, write comprehensive unit tests for the new features added to the game engine, including the dynamic rule addition, modification, archiving, compliance checking, and the automated voting process. Use Python's unittest framework for the tests, ensuring to cover various scenarios and edge cases.`

I have created the following workflow as a basis for how the discussion and coding will be derived.

💡 Steps

Modify Rule class to support dynamic changes

**Action:** `modify` **File:** `main.py` **Lines:** `[56, 60]` **Dependencies:** `[]` **Instructions:** `Add timestamp attributes for rule creation and last modification to the Rule class. Also, add methods to update the rule's description and its mutable status. Ensure to update the timestamp on modification.`

Create RuleComplianceChecker class

**Action:** `create` **File:** `main.py` **Lines:** `[81, 100]` **Dependencies:** `['Step 1']` **Instructions:** `Create a new class named RuleComplianceChecker within main.py. This class should have a method to verify if a player's action complies with the current rules. It should accept a player action and the current set of rules as parameters and return a boolean indicating compliance.`

Integrate RuleComplianceChecker in NomicGame

**Action:** `modify` **File:** `main.py` **Lines:** `[12, 32]` **Dependencies:** `['Step 2']` **Instructions:** `Modify the take_turn method in the NomicGame class to utilize the RuleComplianceChecker. Before allowing a player to propose a rule or roll the die, check if the action is compliant with the current rules. If not, prompt the player for a valid action.`

Refine player turn logic for rule proposals

**Action:** `modify` **File:** `main.py` **Lines:** `[16, 23]` **Dependencies:** `['Step 3']` **Instructions:** `Enhance the player's turn logic to include interactive prompts for rule proposals. After checking rule compliance, if the player's action is to propose a rule, prompt all players to vote asynchronously. Use the conduct_vote method for the voting process.`

Update conduct_vote method for asynchronous input

**Action:** `modify` **File:** `main.py` **Lines:** `[37, 41]` **Dependencies:** `['Step 4']` **Instructions:** `Modify the conduct_vote method in the NomicGame class to support asynchronous input from players for voting. Ensure that the game can proceed with other actions while waiting for all votes to be collected.`

Implement unit tests for new features

**Action:** `create` **File:** `tests/test_main.py` **Lines:** `[1, 50]` **Dependencies:** `['Step 1', 'Step 2', 'Step 3', 'Step 4', 'Step 5']` **Instructions:** `Create comprehensive unit tests in a new file named test_main.py to test the new features added to the NomicGame engine. Include tests for the updated Rule class, the RuleComplianceChecker, the refined player turn logic, and the asynchronous voting process.`

I have created the following workflow as a basis for how the discussion and coding will be derived.

💡 Steps

Modify Rule class to support dynamic changes

Create RuleComplianceChecker class

Integrate RuleComplianceChecker in NomicGame

Refine player turn logic for rule proposals

Update conduct_vote method for asynchronous input

Implement unit tests for new features

5. 🎲 Assignment

Here is the finalized workflow:

Modify Rule class to support dynamic changes

Create RuleComplianceChecker class

Integrate RuleComplianceChecker in NomicGame

Refine player turn logic for rule proposals

Update conduct_vote method for asynchronous input

Implement unit tests for new features

jkbrooks / stf-nomic-test

Newest issue #12

1. 📝 Indexing

I'm indexing the files within your repository.

Successfully indexed!

2. 🔎 Searching

I'm searching for relevant snippets in your repository.

3. 🌐 Planning

I'm creating a plan for the discussion and coding steps.

💡 Steps

💡 Steps

💡 Steps

5. 🎲 Assignment