app/app.py aktualisiert

This commit is contained in:
sascha 2026-01-28 18:51:00 +00:00
parent cca29425ea
commit 8f1aa4e77f

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@ -7,7 +7,7 @@ from difflib import SequenceMatcher
app = Flask(__name__) app = Flask(__name__)
# --- DB VERBINDUNG & RESET (Wie gehabt) --- # --- DB VERBINDUNG & RESET ---
def get_db_connection(): def get_db_connection():
max_retries = 10 max_retries = 10
for i in range(max_retries): for i in range(max_retries):
@ -41,9 +41,30 @@ def reset_db_on_startup():
reset_db_on_startup() reset_db_on_startup()
# --- HILFSFUNKTIONEN --- # --- HILFSFUNKTIONEN ---
def clean_text(text): def clean_text(text):
"""Basis-Reinigung für Verben-Input"""
return text.lower().strip() return text.lower().strip()
def clean_vocab_input(text):
"""
Spezielle Reinigung für Vokabeln:
1. Kleinbuchstaben & Leerzeichen weg.
2. Führendes 'to ' entfernen (damit 'go' == 'to go').
3. Klammern entfernen (z.B. '(to)' -> weg).
"""
t = text.lower().strip()
# Klammern entfernen
t = t.replace('(', '').replace(')', '').replace('[', '').replace(']', '')
t = t.strip()
# Führendes "to " entfernen (nur wenn es ein ganzes Wort ist)
if t.startswith('to '):
t = t[3:].strip()
return t
def check_part(user_in, correct_str): def check_part(user_in, correct_str):
variants = [x.strip().lower() for x in correct_str.split('/')] variants = [x.strip().lower() for x in correct_str.split('/')]
return user_in in variants return user_in in variants
@ -56,9 +77,7 @@ def index():
@app.route('/api/pages') @app.route('/api/pages')
def get_pages(): def get_pages():
# Wir filtern jetzt nach Typ! mode_type = request.args.get('type', 'vocab')
mode_type = request.args.get('type', 'vocab') # 'vocab' oder 'irregular'
conn = get_db_connection() conn = get_db_connection()
cur = conn.cursor() cur = conn.cursor()
@ -77,15 +96,14 @@ def get_pages():
@app.route('/api/question', methods=['POST']) @app.route('/api/question', methods=['POST'])
def get_question(): def get_question():
data = request.json data = request.json
main_mode = data.get('mainMode') # 'vocab' oder 'irregular' main_mode = data.get('mainMode')
sub_mode = data.get('subMode') # 'de-en', 'start-german', etc. sub_mode = data.get('subMode')
pages = data.get('pages', []) pages = data.get('pages', [])
conn = get_db_connection() conn = get_db_connection()
cur = conn.cursor() cur = conn.cursor()
if main_mode == 'irregular': if main_mode == 'irregular':
# Verben Logik
query = "SELECT infinitive, simple_past, past_participle, german, page FROM irregular_verbs WHERE page = ANY(%s) ORDER BY RANDOM() LIMIT 1" query = "SELECT infinitive, simple_past, past_participle, german, page FROM irregular_verbs WHERE page = ANY(%s) ORDER BY RANDOM() LIMIT 1"
cur.execute(query, (pages,)) cur.execute(query, (pages,))
row = cur.fetchone() row = cur.fetchone()
@ -94,22 +112,19 @@ def get_question():
if not row: return jsonify({'error': 'Keine Verben gefunden.'}) if not row: return jsonify({'error': 'Keine Verben gefunden.'})
# Entscheiden basierend auf sub_mode
if sub_mode == 'start-german': if sub_mode == 'start-german':
# Frage: Deutsch -> Antwort: Alle 3 Formen
return jsonify({ return jsonify({
'type': 'irregular_full', 'type': 'irregular_full',
'question': row[3], # Deutsch 'question': row[3],
'answer_infinitive': row[0], 'answer_infinitive': row[0],
'answer_simple': row[1], 'answer_simple': row[1],
'answer_participle': row[2], 'answer_participle': row[2],
'page': row[4] 'page': row[4]
}) })
else: else:
# Frage: Infinitiv -> Antwort: Past & Participle (Standard)
return jsonify({ return jsonify({
'type': 'irregular_standard', 'type': 'irregular_standard',
'question': row[0], # Infinitive 'question': row[0],
'german_hint': row[3], 'german_hint': row[3],
'answer_simple': row[1], 'answer_simple': row[1],
'answer_participle': row[2], 'answer_participle': row[2],
@ -117,7 +132,6 @@ def get_question():
}) })
else: else:
# Vokabel Logik
query = "SELECT english, german, page FROM vocabulary WHERE page = ANY(%s) ORDER BY RANDOM() LIMIT 1" query = "SELECT english, german, page FROM vocabulary WHERE page = ANY(%s) ORDER BY RANDOM() LIMIT 1"
cur.execute(query, (pages,)) cur.execute(query, (pages,))
row = cur.fetchone() row = cur.fetchone()
@ -131,7 +145,7 @@ def get_question():
q_text, a_text = row[1], row[0] q_text, a_text = row[1], row[0]
elif sub_mode == 'en-de': elif sub_mode == 'en-de':
q_text, a_text = row[0], row[1] q_text, a_text = row[0], row[1]
else: # random else:
if random.random() > 0.5: q_text, a_text = row[1], row[0] if random.random() > 0.5: q_text, a_text = row[1], row[0]
else: q_text, a_text = row[0], row[1] else: q_text, a_text = row[0], row[1]
@ -147,7 +161,11 @@ def check_answer():
data = request.json data = request.json
q_type = data.get('type') q_type = data.get('type')
# 1. Verben: Alles abfragen (Start: Deutsch) # --- 1. & 2. VERBEN (Keine Typos, strikt) ---
if q_type.startswith('irregular'):
is_correct = False
msg = ""
if q_type == 'irregular_full': if q_type == 'irregular_full':
u_inf = clean_text(data.get('infinitive', '')) u_inf = clean_text(data.get('infinitive', ''))
u_simp = clean_text(data.get('simple', '')) u_simp = clean_text(data.get('simple', ''))
@ -157,13 +175,8 @@ def check_answer():
ok_simp = check_part(u_simp, data.get('correct_simple', '')) ok_simp = check_part(u_simp, data.get('correct_simple', ''))
ok_part = check_part(u_part, data.get('correct_participle', '')) ok_part = check_part(u_part, data.get('correct_participle', ''))
if ok_inf and ok_simp and ok_part: if ok_inf and ok_simp and ok_part: is_correct = True
return jsonify({'status': 'correct', 'msg': 'Perfekt! Alles richtig.'})
else:
sol = f"{data['correct_infinitive']} -> {data['correct_simple']} -> {data['correct_participle']}"
return jsonify({'status': 'wrong', 'msg': f'Leider falsch. Lösung: {sol}'})
# 2. Verben: Standard (Start: Infinitiv)
elif q_type == 'irregular_standard': elif q_type == 'irregular_standard':
u_simp = clean_text(data.get('simple', '')) u_simp = clean_text(data.get('simple', ''))
u_part = clean_text(data.get('participle', '')) u_part = clean_text(data.get('participle', ''))
@ -171,36 +184,57 @@ def check_answer():
ok_simp = check_part(u_simp, data.get('correct_simple', '')) ok_simp = check_part(u_simp, data.get('correct_simple', ''))
ok_part = check_part(u_part, data.get('correct_participle', '')) ok_part = check_part(u_part, data.get('correct_participle', ''))
if ok_simp and ok_part: if ok_simp and ok_part: is_correct = True
if is_correct:
return jsonify({'status': 'correct', 'msg': 'Richtig!'}) return jsonify({'status': 'correct', 'msg': 'Richtig!'})
else: else:
sol = f"{data['correct_simple']} -> {data['correct_participle']}" # Bei Verben schicken wir KEINE Lösung im msg Feld, das macht das Frontend erst am Ende
return jsonify({'status': 'wrong', 'msg': f'Lösung: {sol}'}) return jsonify({'status': 'wrong', 'msg': 'Leider nicht ganz richtig.'})
# 3. Vokabeln # --- 3. VOKABELN (Mit "to"-Logik und Typos) ---
else: else:
u_input = clean_text(data.get('input', '')) u_input_raw = data.get('input', '')
correct_raw = data.get('correct', '') correct_raw = data.get('correct', '')
# Split variants (e.g. "car; auto") # Bereinigter Vergleich (ohne "to ", ohne Klammern)
valid_answers = [clean_text(x) for x in correct_raw.split(';')] u_clean = clean_vocab_input(u_input_raw)
# Add version without brackets "(to) go" -> "go"
for v in list(valid_answers):
if '(' in v: valid_answers.append(v.replace('(','').replace(')','').strip())
if u_input in valid_answers: # Antwortmöglichkeiten vorbereiten (Splitten bei ';')
valid_answers = []
raw_parts = correct_raw.split(';')
for p in raw_parts:
# Original rein
valid_answers.append(clean_vocab_input(p))
# Falls "(to) go" drin stand -> das wird durch clean_vocab_input schon zu "go"
# Aber falls "to go" drin stand -> wird zu "go"
# 1. Direkter Treffer
if u_clean in valid_answers:
return jsonify({'status': 'correct', 'msg': 'Richtig!'}) return jsonify({'status': 'correct', 'msg': 'Richtig!'})
# Fuzzy Check # 2. Fuzzy Match (Rechtschreibprüfung)
best_ratio = 0 best_ratio = 0
best_match = ""
for v in valid_answers: for v in valid_answers:
ratio = SequenceMatcher(None, u_input, v).ratio() ratio = SequenceMatcher(None, u_clean, v).ratio()
if ratio > best_ratio: best_ratio = ratio if ratio > best_ratio:
best_ratio = ratio
best_match = v # Das bereinigte Wort als Vorschlag
if best_ratio >= 0.8: # Toleranz: 85% Übereinstimmung, bei kurzen Wörtern (<5 Zeichen) strenger (90%)
return jsonify({'status': 'typo', 'msg': f'Fast richtig! Lösung: {correct_raw}'}) threshold = 0.85
if len(best_match) < 5:
threshold = 0.9
return jsonify({'status': 'wrong', 'msg': f'Falsch. Lösung: {correct_raw}'}) if best_ratio >= threshold:
return jsonify({
'status': 'typo',
'msg': f'Fast richtig! Meintest du: "{best_match}"? (Achte auf die Schreibweise)'
})
# 3. Falsch
return jsonify({'status': 'wrong', 'msg': 'Leider falsch.'})
if __name__ == '__main__': if __name__ == '__main__':
app.run(host='0.0.0.0', port=5000) app.run(host='0.0.0.0', port=5000)