# /modules/morpho_analysis.py import spacy from collections import Counter # Define colors for grammatical categories POS_COLORS = { 'ADJ': '#FFA07A', # Light Salmon 'ADP': '#98FB98', # Pale Green 'ADV': '#87CEFA', # Light Sky Blue 'AUX': '#DDA0DD', # Plum 'CCONJ': '#F0E68C', # Khaki 'DET': '#FFB6C1', # Light Pink 'INTJ': '#FF6347', # Tomato 'NOUN': '#90EE90', # Light Green 'NUM': '#FAFAD2', # Light Goldenrod Yellow 'PART': '#D3D3D3', # Light Gray 'PRON': '#FFA500', # Orange 'PROPN': '#20B2AA', # Light Sea Green 'SCONJ': '#DEB887', # Burlywood 'SYM': '#7B68EE', # Medium Slate Blue 'VERB': '#FF69B4', # Hot Pink 'X': '#A9A9A9', # Dark Gray } POS_TRANSLATIONS = { 'es': { 'ADJ': 'Adjetivo', 'ADP': 'Adposición', 'ADV': 'Adverbio', 'AUX': 'Auxiliar', 'CCONJ': 'Conjunción Coordinante', 'DET': 'Determinante', 'INTJ': 'Interjección', 'NOUN': 'Sustantivo', 'NUM': 'Número', 'PART': 'Partícula', 'PRON': 'Pronombre', 'PROPN': 'Nombre Propio', 'SCONJ': 'Conjunción Subordinante', 'SYM': 'Símbolo', 'VERB': 'Verbo', 'X': 'Otro', }, 'en': { 'ADJ': 'Adjective', 'ADP': 'Adposition', 'ADV': 'Adverb', 'AUX': 'Auxiliary', 'CCONJ': 'Coordinating Conjunction', 'DET': 'Determiner', 'INTJ': 'Interjection', 'NOUN': 'Noun', 'NUM': 'Number', 'PART': 'Particle', 'PRON': 'Pronoun', 'PROPN': 'Proper Noun', 'SCONJ': 'Subordinating Conjunction', 'SYM': 'Symbol', 'VERB': 'Verb', 'X': 'Other', }, 'fr': { 'ADJ': 'Adjectif', 'ADP': 'Adposition', 'ADV': 'Adverbe', 'AUX': 'Auxiliaire', 'CCONJ': 'Conjonction de Coordination', 'DET': 'Déterminant', 'INTJ': 'Interjection', 'NOUN': 'Nom', 'NUM': 'Nombre', 'PART': 'Particule', 'PRON': 'Pronom', 'PROPN': 'Nom Propre', 'SCONJ': 'Conjonction de Subordination', 'SYM': 'Symbole', 'VERB': 'Verbe', 'X': 'Autre', } } def get_repeated_words_colors(doc): word_counts = Counter(token.text.lower() for token in doc if token.pos_ != 'PUNCT') repeated_words = {word: count for word, count in word_counts.items() if count > 1} word_colors = {} for token in doc: if token.text.lower() in repeated_words: word_colors[token.text.lower()] = POS_COLORS.get(token.pos_, '#FFFFFF') return word_colors def highlight_repeated_words(doc, word_colors): highlighted_text = [] for token in doc: if token.text.lower() in word_colors: color = word_colors[token.text.lower()] highlighted_text.append(f'{token.text}') else: highlighted_text.append(token.text) return ' '.join(highlighted_text)