diff --git a/app/static/wordfreqapp.db b/app/static/wordfreqapp.db
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Binary files /dev/null and b/app/static/wordfreqapp.db differ
diff --git a/app/vocabulary.py b/app/vocabulary.py
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+++ b/app/vocabulary.py
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+import re
+import pickle
+
+def load_record(pickle_fname):
+    with open(pickle_fname, 'rb') as f:
+        d = pickle.load(f)
+    return d
+
+def convert_test_type_to_difficulty_level(d):
+    result = {}
+    for word, test_types in d.items():
+        if 'CET4' in test_types:
+            result[word] = 4
+        elif 'OXFORD3000' in test_types:
+            result[word] = 5
+        elif 'CET6' in test_types or 'GRADUATE' in test_types:
+            result[word] = 6
+        elif 'IELTS' in test_types:
+            result[word] = 7
+        elif 'OXFORD5000' in test_types:
+            result[word] = 7
+        elif 'BBC' in test_types:
+            result[word] = 8
+        else:
+            result[word] = 0
+    return result
+
+class VocabularyLevelEstimator:
+    _test_raw = load_record('words_and_tests.p')
+    _difficulty_dict = convert_test_type_to_difficulty_level(_test_raw)
+
+    @classmethod
+    def get_word_level(cls, word):
+        return cls._difficulty_dict.get(word, 0)
+
+class UserVocabularyLevel(VocabularyLevelEstimator):
+    def __init__(self, d):
+        self.d = d
+        word_time = [(word, max(times)) for word, times in d.items() if times]
+        sorted_words = sorted(word_time, key=lambda x: x[1], reverse=True)
+        self.recent_words = [word for word, _ in sorted_words[:3]]
+
+    @property
+    def level(self):
+        levels = [self.get_word_level(word) for word in self.recent_words]
+        valid_levels = [lvl for lvl in levels if lvl > 0]
+        return sum(valid_levels) / len(valid_levels) if valid_levels else 0
+
+class ArticleVocabularyLevel(VocabularyLevelEstimator):
+    def __init__(self, content):
+        self.content = content
+        words = re.findall(r'\b[\w-]+\b', content.lower())
+        word_levels = [self.get_word_level(word) for word in words]
+        valid_levels = sorted([lvl for lvl in word_levels if lvl > 0], reverse=True)
+        self.top_levels = valid_levels[:5]  # 取前5个最高难度单词
+
+    @property
+    def level(self):
+        if not self.top_levels:
+            return 0
+        return sum(self.top_levels) / len(self.top_levels)