# import json # import logging # from collections import defaultdict, Counter # from flask import Flask, request, jsonify # from routes import app # import nltk # from nltk.corpus import words # # Initialize NLTK word list # try: # nltk.data.find('corpora/words') # except LookupError: # nltk.download('words') # # Configure logging # logging.basicConfig(level=logging.INFO) # logger = logging.getLogger(__name__) # def load_word_list(): # """ # Load and return a list of valid 5-letter English words using NLTK's corpus. # """ # word_list = [word.lower() for word in words.words() if len(word) == 5 and word.isalpha()] # return word_list # WORD_LIST = load_word_list() # def filter_words(guess_history, evaluation_history, word_list): # """ # Filters the word list based on the guess history and their evaluations. # Parameters: # - guess_history: List of previous guesses. # - evaluation_history: List of evaluations corresponding to the guesses. # - word_list: List of possible valid words. # Returns: # - A list of possible words that match all constraints. # """ # required_positions = dict() # Positions with correct letters ('O') # excluded_positions = defaultdict(set) # Positions with excluded letters ('X') # required_letters = defaultdict(int) # Letters that must be present with minimum counts # excluded_letters_max = dict() # Letters that must not exceed certain counts # for guess, evaluation in zip(guess_history, evaluation_history): # per_guess_letter_count = defaultdict(int) # # First pass to count 'O's and 'X's for each letter in the guess # for i in range(len(guess)): # letter = guess[i] # eval_symbol = evaluation[i] # if eval_symbol in ['O', 'X']: # per_guess_letter_count[letter] += 1 # # Second pass to set constraints based on evaluation # for i in range(len(guess)): # letter = guess[i] # eval_symbol = evaluation[i] # if eval_symbol == 'O': # # Letter must be in this exact position # required_positions[i] = letter # # Update required letter count # if per_guess_letter_count[letter] > required_letters[letter]: # required_letters[letter] = per_guess_letter_count[letter] # elif eval_symbol == 'X': # # Letter must be in the word but not in this position # excluded_positions[i].add(letter) # # Update required letter count # if per_guess_letter_count[letter] > required_letters[letter]: # required_letters[letter] = per_guess_letter_count[letter] # elif eval_symbol == '-': # if letter in per_guess_letter_count: # # The total count of the letter in the word is exactly the number of 'O's and 'X's # excluded_letters_max[letter] = per_guess_letter_count[letter] # else: # # The letter is not in the word at all # excluded_letters_max[letter] = 0 # elif eval_symbol == '?': # # Masked feedback; no constraints applied # continue # else: # # Invalid symbol; you can choose to handle this differently # continue # possible_words = [] # for word in word_list: # word = word.lower() # # Skip words that are not 5 letters (redundant since word_list is already filtered) # if len(word) != 5: # continue # # Flag to determine if the word satisfies all constraints # valid = True # # Check for required letters in specific positions ('O') # for pos, char in required_positions.items(): # if word[pos] != char: # valid = False # break # if not valid: # continue # # Check for excluded letters in specific positions ('X') # for pos, chars in excluded_positions.items(): # if word[pos] in chars: # valid = False # break # if not valid: # continue # # Count letters in the current word # word_letter_count = Counter(word) # # Check for required letters with minimum counts # for letter, count in required_letters.items(): # if word_letter_count.get(letter, 0) < count: # valid = False # break # if not valid: # continue # # Check for excluded letters with maximum counts # for letter, max_count in excluded_letters_max.items(): # if word_letter_count.get(letter, 0) > max_count: # valid = False # break # if not valid: # continue # # If all checks pass, add the word to possible words # possible_words.append(word) # return possible_words # def suggest_next_guess(guess_history, evaluation_history, word_list): # """ # Suggests the next best guess based on the current guess and evaluation history. # Parameters: # - guess_history: List of previous guesses. # - evaluation_history: List of evaluations corresponding to the guesses. # - word_list: List of possible valid words. # Returns: # - The next guess as a string. # """ # possible_words = filter_words(guess_history, evaluation_history, word_list) # if not possible_words: # return "No valid words found" # # Strategy for selecting the next guess: # # Here, we'll simply return the first possible word. # # You can implement more sophisticated strategies like frequency analysis. # return possible_words[0] # @app.route('/wordle-game', methods=['POST']) # def wordle_game(): # """ # Endpoint to generate the next Wordle guess based on the history. # Expects a JSON payload with: # - guessHistory: List of previous guesses. # - evaluationHistory: List of evaluations corresponding to each guess. # Returns a JSON response with: # - guess: The suggested next guess. # """ # try: # # Parse JSON input # data = request.get_json() # logger.info("Data received for evaluation: %s", data) # if not data: # logger.error("No JSON data received") # return jsonify({"error": "No input data provided"}), 400 # guess_history = data.get("guessHistory", []) # evaluation_history = data.get("evaluationHistory", []) # # Validate input lengths # if len(guess_history) != len(evaluation_history): # logger.error("Mismatch between guessHistory and evaluationHistory lengths") # return jsonify({"error": "guessHistory and evaluationHistory must be of the same length"}), 400 # # Suggest the next guess # next_guess = suggest_next_guess(guess_history, evaluation_history, WORD_LIST) # logger.info("Suggested next guess: %s", next_guess) # # Return the response # return jsonify({"guess": next_guess}), 200 # except Exception as e: # logger.exception("An error occurred while processing the guess") # return jsonify({"error": str(e)}), 500