routes/wordle.py

# 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