Files
Lector/database.py
BasioMeusPuga 7fbea194c0 Initial file loading
epub content parsing is horribly borked
2017-11-11 23:21:49 +05:30

124 lines
4.4 KiB
Python

#!/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, Position 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, data):
# 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 data.items():
book_hash = i[0]
title = i[1]['title']
author = i[1]['author']
year = i[1]['year']
if not year:
year = 9999
path = i[1]['path']
cover = i[1]['cover_image']
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 cover:
self.database.execute(
sql_command_add,
[title, author, year,
path, isbn, book_hash, sqlite3.Binary(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
data = self.database.execute(sql_command_fetch).fetchall()
if data:
# Because this is the result of a fetchall(), we need an
# ugly hack (tm) to get correct results
if fetch_one:
return data[0][0]
return 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()