Eliminare 'src/LFDB.py'

src/LFDB.py

@@ -1,55 +0,0 @@
-import os
-import sqlite3
-from sqlite3 import Error
-from werkzeug.datastructures import FileStorage
-
-
-class LFDB:
-
-    def __init__(self, db_path):
-        # self.lf = LFUtilities.load(settings.DATASET_BEBLID)
-        # self.ids = np.loadtxt(settings.DATASET_IDS, dtype=str).tolist()
-        # self.bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)
-        self.conn = sqlite3.connect(db_path, check_same_thread=False)
-
-    def close(self):
-        if self.conn:
-            self.conn.close()
-
-    def put(self, docId, features):
-        try:
-            self.conn.text_factory = str
-            #print("[INFO] : Successful connection!")
-            cur = self.conn.cursor()
-            insert_file = '''INSERT INTO lf(docId, features) VALUES(?, ?)'''
-            cur = self.conn.cursor()
-            cur.execute(insert_file, (docId, features,))
-            #print("[INFO] : The blob for ", docId, " is in the database.")
-        except Error as e:
-            print(e)
-
-    def commit(self):
-        try:
-            if self.conn:
-                self.conn.commit()
-                print("committing...")
-        except Error as e:
-            print(e)
-
-    def get(self, docId):
-        try:
-            self.conn.text_factory = str
-            cur = self.conn.cursor()
-           # print("[INFO] : Connected to SQLite to read_blob_data")
-            sql_fetch_blob_query = """SELECT * from lf where docId = ?"""
-            cur.execute(sql_fetch_blob_query, (docId,))
-            record = cur.fetchall()
-            for row in record:
-                converted_file_name = row[1]
-                blob = row[2]
-                # parse out the file name from converted_file_name
-            cur.close()
-        except sqlite3.Error as error:
-            print("[INFO] : Failed to read blob data from sqlite table", error)
-        return blob
-