#!/usr/bin/env python3 import sqlite3 import os class DatabaseInit: def __init__(self, location_prefix): os.makedirs(location_prefix, exist_ok=True) database_path = os.path.join(location_prefix, 'Lector.db') if not os.path.exists(database_path): self.database = sqlite3.connect(database_path) self.create_database() def create_database(self): self.database.execute( "CREATE TABLE books \ (id INTEGER PRIMARY KEY, Title TEXT, Author TEXT, Year INTEGER, \ Path TEXT, ISBN TEXT, Tags TEXT, Hash TEXT, CoverImage BLOB)") self.database.execute( "CREATE TABLE cache \ (id INTEGER PRIMARY KEY, Name TEXT, Path TEXT, CachedDict BLOB)") # It's assumed that any cached books will be pickled and put into the # database at time of closing self.database.commit() self.database.close() class DatabaseFunctions: def __init__(self, location_prefix): database_path = os.path.join(location_prefix, 'Lector.db') self.database = sqlite3.connect(database_path) def add_to_database(self, book_data): # book_data is expected to be a dictionary # with keys corresponding to the book hash # and corresponding items containing # whatever else needs insertion # Haha I said insertion for i in book_data.items(): book_hash = i[0] book_title = i[1]['title'] book_author = i[1]['author'] book_year = i[1]['year'] if not book_year: book_year = 9999 book_path = i[1]['path'] book_cover = i[1]['cover_image'] book_isbn = i[1]['isbn'] sql_command_add = ( "INSERT INTO books (Title,Author,Year,Path,ISBN,Hash,CoverImage) VALUES(?, ?, ?, ?, ?, ?, ?)") # TODO # This is a placeholder. You will need to generate book covers # in case none are found if book_cover: self.database.execute( sql_command_add, [book_title, book_author, book_year, book_path, book_isbn, book_hash, sqlite3.Binary(book_cover)]) self.database.commit() def fetch_data(self, columns, table, selection_criteria, equivalence, fetch_one=False): # columns is a tuple that will be passed as a comma separated list # table is a string that will be used as is # selection_criteria is a dictionary which contains the name of a column linked # to a corresponding value for selection # Example: # Name and AltName are expected to be the same # sel_dict = { # 'Name': 'sav', # 'AltName': 'sav' # } # data = DatabaseFunctions().fetch_data(('Name',), 'books', sel_dict) try: column_list = ','.join(columns) sql_command_fetch = f"SELECT {column_list} FROM {table}" if selection_criteria: sql_command_fetch += " WHERE" if equivalence == 'EQUALS': for i in selection_criteria.keys(): search_parameter = selection_criteria[i] sql_command_fetch += f" {i} = '{search_parameter}' OR" elif equivalence == 'LIKE': for i in selection_criteria.keys(): search_parameter = "'%" + selection_criteria[i] + "%'" sql_command_fetch += f" {i} LIKE {search_parameter} OR" sql_command_fetch = sql_command_fetch[:-3] # Truncate the last OR # book data is returned as a list of tuples book_data = self.database.execute(sql_command_fetch).fetchall() if book_data: # Because this is the result of a fetchall(), we need an # ugly hack (tm) to get correct results if fetch_one: return book_data[0][0] return book_data else: return None # except sqlite3.OperationalError: except KeyError: print('SQLite is in rebellion, Commander') def delete_from_database(self, file_hashes): # file_hashes is expected as a list that will be iterated upon # This should enable multiple deletion for i in file_hashes: self.database.execute( f"DELETE FROM books WHERE Hash = '{i}'") self.database.commit()