class Indexer:
def __init__(self, docs_dir, docs_size):
self.docLoader = DocLoader(docs_dir, docs_size)
self.tokenizer = Tokenizer()
self.stemmer = Stemmer()
self.dictionary = Dictionary(load=False)
self._clean()
self._setup(docs_size)
def _setup(self, docs_size):
for doc_id in range(1, docs_size + 1):
doc = self.docLoader.getDoc(doc_id)
tokens = self.tokenizer.tokenizeDoc(doc)
print("tokens: ")
for token in tokens:
print(token)
normalized_words = self.stemmer.normalize_list(tokens)
print("normalized_words: ")
for token in normalized_words:
print(token)
for token in normalized_words:
self.dictionary.addToken(token, doc_id)
@staticmethod
def _clean():
if os.path.exists(os.path.dirname("./dist")):
try:
shutil.rmtree("./dist")
except (FileNotFoundError, FileExistsError) as e:
print("error")
class SearchEngine:
_dictionary: Dictionary
_tokenizer: Tokenizer
_stemmer: Stemmer
_query_result: QueryResult
def __init__(self):
self._dictionary = Dictionary(load=True)
self._tokenizer = Tokenizer()
self._stemmer = Stemmer()
self._query_result = QueryResult()
print(self._dictionary)
def _search_for_token(self, token: Token):
pl = self._dictionary.getPostingList(token.getWord())
print(pl)
if pl is not None:
self._query_result.addToResults(token, pl)
def listen(self):
inp = input("Enter Your Query: ")
# inp = "هفته"
query_tokens = self._tokenizer.tokenizeDoc(inp)
normalized_query_tokens = self._stemmer.normalize_list(query_tokens)
for p in normalized_query_tokens:
self._search_for_token(p)
self._query_result.buildCandidates()
self._query_result.printKBestCandidates()
