sqlite-integrated 0.0.6

Easily manipulate sqlite3 databases with simple syntax

What is this?

This package provides classes to make handling of sqlite3 databases easier. I have strived to make it as simple as possible, and the error messages as helpful as possible. The main Database class handles reading from and writing to the database. The DatabaseEntry class represents a single database entry. It can be used like a dictionary to assign new values to the entry. Ex: entry['name'] = "New Name". The Query class can be used to create sql-queries with or without an attached Database to run it on.

Installation

Install with pip

pip install sqlite-integrated

Read the documentation

The documentation can be found here.

Github Repo

If you are interested in the open source code, click here.

See the latest changes and features of version 0.0.6 here.

How to use it!

Creating a new database

Start by importing the class and creating our NEW database (remember to put in a valid path to the database file).

from sqlite_integrated import *
db = Database("path/to/database.db", new=True)

We pass new=True to create a new database file.

We can now create a table with SQL. Note that we create a column assigned as "PRIMARY KEY" with the primary_key flag. Every table should have one of these columns (for this package to work properly). It makes sure that every entry has a unique id, so that we can keep track of it.

db.create_table("people", [
    Column("person_id", "integer", primary_key=True),
    Column("first_name", "text"),
    Column("last_name", "text")
])

We can see an overview of the tables in the database and their table fields with the method overview.

db.overview()

Output:

Tables
	people
		person_id
		first_name
		last_name

To add an entry use the add_entry method.

db.add_entry({"first_name": "John", "last_name": "Smith"}, "people")

Let's add a few more!

db.add_entry({"first_name": "Tom", "last_name": "Builder"}, "people")
db.add_entry({"first_name": "Eva", "last_name": "Larson"}, "people")

To view to database we can use the table_overview method.

db.table_overview("people")

Output:

person_id ║ first_name ║ last_name
══════════╬════════════╬═══════════
1         ║ John       ║ Smith    
2         ║ Tom        ║ Builder  
3         ║ Eva        ║ Larson   

Save your changes with save:

db.save()

Opening an existing database

Start by importing the class and opening our database.

from sqlite_integrated import Database
db = Database("tests/test.db")

Just to check you can now run.

db.overview()

This will print list of all tables in the database.

Save and close the database with close:

db.close()

Editing an entry

We start by getting the entry. In this case the 3rd entry in the table "customers".

entry = db.get_entry_by_id("customers", 3)

Now edit as much as you desire!

entry["FirstName"] = "John"
entry["LastName"] = "Newname"
entry["City"] = "Atlantis"

To update our table we can simply use the update_entry method.

db.update_entry(entry)

To save these changes to the database file, use the save method.

More examples

Viewing a table

from sqlite_integrated import Database

# Loading an existing database
db = Database("tests/test.db")

db.table_overview("customers", max_len=15, get_only=["FirstName", "LastName", "Address", "City"])

Output:

FirstName ║ LastName     ║ Address                                  ║ City               
══════════╬══════════════╬══════════════════════════════════════════╬════════════════════
Luís      ║ Gonçalves    ║ Av. Brigadeiro Faria Lima, 2170          ║ São José dos Campos
Leonie    ║ Köhler       ║ Theodor-Heuss-Straße 34                  ║ Stuttgart          
François  ║ Tremblay     ║ 1498 rue Bélanger                        ║ Montréal           
Bjørn     ║ Hansen       ║ Ullevålsveien 14                         ║ Oslo               
František ║ Wichterlová  ║ Klanova 9/506                            ║ Prague             
Helena    ║ Holý         ║ Rilská 3174/6                            ║ Prague             
Astrid    ║ Gruber       ║ Rotenturmstraße 4, 1010 Innere Stadt     ║ Vienne             
Daan      ║ Peeters      ║ Grétrystraat 63                          ║ Brussels           
Kara      ║ Nielsen      ║ Sønder Boulevard 51                      ║ Copenhagen         
Eduardo   ║ Martins      ║ Rua Dr. Falcão Filho, 155                ║ São Paulo          
    .
    .
    .
Mark      ║ Taylor       ║ 421 Bourke Street                        ║ Sidney             
Diego     ║ Gutiérrez    ║ 307 Macacha Güemes                       ║ Buenos Aires       
Luis      ║ Rojas        ║ Calle Lira, 198                          ║ Santiago           
Manoj     ║ Pareek       ║ 12,Community Centre                      ║ Delhi              
Puja      ║ Srivastava   ║ 3,Raj Bhavan Road                        ║ Bangalore          

Creating a database in memory

from sqlite_integrated import Database

db = Database.in_memory()

Creating a table with foreign keys

# importing the classes
from sqlite_integrated import Database
from sqlite_integrated import Column
from sqlite_integrated import ForeignKey

# Creating a database in memory
db = Database.in_memory()

# Creating a table of people
db.create_table("people", [
    Column("PersonId", "integer", primary_key=True),
    Column("PersonName", "text")
])

# Creating a table of groups 
db.create_table("groups", [
    Column("GroupId", "integer", primary_key=True),
    Column("GroupName", "text")
])

# A table that links people and the groups they are part off
db.create_table("person_group", [
    Column("PersonId", "integer", foreign_key=ForeignKey("people", "PersonId", on_update="CASCADE", on_delete="SET NULL"))
])

# use more=True to show more column information
db.overview(more=True)

Output:

Tables
	people
		PersonId		[Column(PersonId, integer, PRIMARY KEY)]
		PersonName		[Column(1, PersonName, text)]
	groups
		GroupId		[Column(GroupId, integer, PRIMARY KEY)]
		GroupName		[Column(1, GroupName, text)]
	person_group
		PersonId		[Column(PersonId, integer, FOREIGN KEY (PersonId) REFERENCES people (PersonId) ON UPDATE CASCADE ON DELETE SET NULL)]

Using queries

Select Statement

from sqlite_integrated import Database

# Loading an existing database
db = Database("tests/test.db", verbose=True)

# Select statement
query = db.SELECT(["FirstName"]).FROM("customers").WHERE("FirstName").LIKE("T%")

# Printing the query
print(f"query: {query}")

# Running the query and printing the results
print(f"Results: {list(query.run())}")

Output:

query: > SELECT FirstName FROM customers WHERE FirstName LIKE 'T%' <
Executed sql: SELECT FirstName FROM customers WHERE FirstName LIKE 'T%' 
Results: [DatabaseEntry(table: customers, data: {'FirstName': 'Tim'}), DatabaseEntry(table: customers, data: {'FirstName': 'Terhi'})]

We can see that there are only two customers with a first name that starts with 't'.

By default the database prints the SQL that is executed in the database, to the terminal. This can be disabled by passing silent=True to the run method.

Insert Statement

from sqlite_integrated import Database

# Loading an existing database
db = Database("tests/test.db", verbose = True)

# Metadata for the entry we are adding
entry = {"FirstName": "Test", "LastName": "Testing", "Email": "[e-mail]"}

# Adding the entry to the table called "customers"
db.INSERT_INTO("customers").VALUES(entry).run()

# A little space
print()

# Print the table 
db.table_overview("customers", get_only=["CustomerId", "FirstName", "LastName", "Email", "City"], max_len=10)

Output:

Executed sql: INSERT INTO customers (FirstName, LastName, Email) VALUES ('Test', 'Testing', '[e-mail]') 

CustomerId ║ FirstName ║ LastName     ║ Email                         ║ City               
═══════════╬═══════════╬══════════════╬═══════════════════════════════╬═══════════════════
1          ║ Luís      ║ Gonçalves    ║ [e-mail]          ║ São José dos Campos
2          ║ Leonie    ║ Köhler       ║ [e-mail]         ║ Stuttgart          
3          ║ François  ║ Tremblay     ║ [e-mail]           ║ Montréal           
4          ║ Bjørn     ║ Hansen       ║ [e-mail]         ║ Oslo               
5          ║ František ║ Wichterlová  ║ [e-mail]      ║ Prague             
    .
    .
    .
56         ║ Diego     ║ Gutiérrez    ║ [e-mail]      ║ Buenos Aires       
57         ║ Luis      ║ Rojas        ║ [e-mail]            ║ Santiago           
58         ║ Manoj     ║ Pareek       ║ [e-mail]       ║ Delhi              
59         ║ Puja      ║ Srivastava   ║ [e-mail]      ║ Bangalore          
60         ║ Test      ║ Testing      ║ [e-mail]              ║ None               

Update Statement

from sqlite_integrated import Database

# Loading an existing database
db = Database("tests/test.db")

# Printing an overview of the customers table
db.table_overview("customers", get_only=["CustomerId", "FirstName", "LastName", "City"], max_len=10)

# Some space
print()

# Update all customers with a first name that starts with 'L', so that all their names are now Brian Brianson. 
db.UPDATE("customers").SET({"FirstName": "Brian", "LastName": "Brianson"}).WHERE("FirstName").LIKE("L%").run()

# Some more space
print()

# Printing an overview of the updated customers table
db.table_overview("customers", get_only=["CustomerId", "FirstName", "LastName", "City"], max_len=10)

Output:

CustomerId ║ FirstName ║ LastName     ║ City               
═══════════╬═══════════╬══════════════╬════════════════════
1          ║ Luís      ║ Gonçalves    ║ São José dos Campos
2          ║ Leonie    ║ Köhler       ║ Stuttgart          
3          ║ François  ║ Tremblay     ║ Montréal           
4          ║ Bjørn     ║ Hansen       ║ Oslo               
5          ║ František ║ Wichterlová  ║ Prague             
    .
    .
    .
55         ║ Mark      ║ Taylor       ║ Sidney             
56         ║ Diego     ║ Gutiérrez    ║ Buenos Aires       
57         ║ Luis      ║ Rojas        ║ Santiago           
58         ║ Manoj     ║ Pareek       ║ Delhi              
59         ║ Puja      ║ Srivastava   ║ Bangalore          



CustomerId ║ FirstName ║ LastName     ║ City               
═══════════╬═══════════╬══════════════╬════════════════════
1          ║ Brian     ║ Brianson     ║ São José dos Campos
2          ║ Brian     ║ Brianson     ║ Stuttgart          
3          ║ François  ║ Tremblay     ║ Montréal           
4          ║ Bjørn     ║ Hansen       ║ Oslo               
5          ║ František ║ Wichterlová  ║ Prague             
    .
    .
    .
55         ║ Mark      ║ Taylor       ║ Sidney             
56         ║ Diego     ║ Gutiérrez    ║ Buenos Aires       
57         ║ Brian     ║ Brianson     ║ Santiago           
58         ║ Manoj     ║ Pareek       ║ Delhi              
59         ║ Puja      ║ Srivastava   ║ Bangalore          

Delete queries

from sqlite_integrated import Database
from sqlite_integrated import Query
from sqlite_integrated import Column

# Creating a database in memory
db = Database.in_memory()

# Adding a table of people
db.create_table("people", [
    Column("id", "integer", primary_key=True),
    Column("name", "text")
])

# Adding a few people
db.add_entry({"name": "Peter"}, "people")
db.add_entry({"name": "Anna"}, "people")
db.add_entry({"name": "Tom"}, "people")
db.add_entry({"name": "Mads"}, "people")
db.add_entry({"name": "Simon"}, "people")
db.add_entry({"name": "Emillie"}, "people")
db.add_entry({"name": "Mathias"}, "people")
db.add_entry({"name": "Jakob"}, "people")

# ids of entries to delete
ids = [1,2,5,7]

print("Before deletion:")
db.table_overview("people", max_len=10)

# Deletes the ids from the 'people' table
for c_id in ids:
    db.DELETE_FROM("people").WHERE("id", c_id).run()

print("After deletion:")
db.table_overview("people", max_len=10)

Output:

Before deletion:
id ║ name   
═══╬══════════
1  ║ Peter  
2  ║ Anna   
3  ║ Tom    
4  ║ Mads   
5  ║ Simon  
6  ║ Emillie
7  ║ Mathias
8  ║ Jakob  

After deletion:
id ║ name   
═══╬══════════
3  ║ Tom    
4  ║ Mads   
6  ║ Emillie
8  ║ Jakob  

Unattached queries

from sqlite_integrated import Database
from sqlite_integrated import Query

# Loading an existing database
db1 = Database("tests/test.db", verbose = True)

# Loading the same database to a different variable
db2 = Database("tests/test.db", verbose = True)

# Updating the first entry in the first database only
db1.UPDATE("customers").SET({"FirstName": "Allan", "LastName": "Changed"}).WHERE("CustomerId", 1).run()

# This query gets the first entry in the customers table
query = Query().SELECT().FROM("customers").WHERE("CustomerId = 1")

# Running the query on each database and printing the output.
out1 = list(query.run(db1))
out2 = list(query.run(db2))

# Printing the outputs
print(f"\ndb1 output:\n{out1}")
print(f"\ndb2 output:\n{out2}")

Output:

Executed sql: UPDATE customers SET FirstName = 'Allan', LastName = 'Changed' WHERE CustomerId = 1
Executed sql: SELECT * FROM customers WHERE CustomerId = 1 
Executed sql: SELECT * FROM customers WHERE CustomerId = 1 

db1 output:
[DatabaseEntry(table: customers, data: {'CustomerId': 1, 'FirstName': 'Allan', 'LastName': 'Changed', 'Company': 'Embraer - Empresa Brasileira de Aeronáutica S.A.', 'Address': 'Av. Brigadeiro Faria Lima, 2170', 'City': 'São José dos Campos', 'State': 'SP', 'Country': 'Brazil', 'PostalCode': '12227-000', 'Phone': '[phone]', 'Fax': '[phone]', 'Email': '[e-mail]', 'SupportRepId': 3})]

db2 output:
[DatabaseEntry(table: customers, data: {'CustomerId': 1, 'FirstName': 'Luís', 'LastName': 'Gonçalves', 'Company': 'Embraer - Empresa Brasileira de Aeronáutica S.A.', 'Address': 'Av. Brigadeiro Faria Lima, 2170', 'City': 'São José dos Campos', 'State': 'SP', 'Country': 'Brazil', 'PostalCode': '12227-000', 'Phone': '[phone]', 'Fax': '[phone]', 'Email': '[e-mail]', 'SupportRepId': 3})]

Contributing

I would be more than happy if anyone finds this useful enough to add to, or modify this code.