The python postgreSQL ORM
Project description
dbsession
The python postgreSQL ORM
introduction
DBSession gives simplicity, flexibility and order to the abstraction of database tables into python objects. Right now it's only supporting postgreSQL with psycopg2
Usage
Assuming we have a table named A
with the following estructure
id | name
----+-------
1 | Paul
2 | George
Create an archive A.py
and create a class for the database abstraction A
that inherits from DatabaseObject
. The attribute _TABLE_NAME
is the database table actual name
from DBSession import DatabaseObject
TABLE_NAME = 'A'
class _A(DatabaseObject):
_TABLE_NAME = TABLE_NAME
def __init__(self, row):
super().__init__(row)
wrapper = _A
Now implement every function associated with this table in the same file. Every function receives the params that goes in the query, and returns a tuple of four items:
- query (str): The actual query
- values (Tuple): The params to be replaced into the query
- wrapper (Object): The class that represent the table
- many (bool): Whether the query will return one or many instances
def find_by_id(a_id):
query = f"""
SELECT *
FROM {TABLE_NAME}
WHERE id = %s
"""
values = (a_id, )
return query, values, wrapper, False
def get_all():
query = f"""
SELECT *
FROM {TABLE_NAME}
"""
values = ()
return query, values, wrapper, True
Create a connection to the database using the DBConnection
class. It receives the pool instance from psycopg2.
connection_pool = psycopg2.pool.ThreadedConnectionPool(
MINIMUM_CONNECTION,
MAXIMUM_CONNECTION,
user=POSTGRES_USER,
password=POSTGRES_PASSWORD,
host=POSTGRES_HOST,
port=POSTGRES_PORT,
database=POSTGRES_DB)
db_connection = DBConnection(connection_pool)
Finally, in the main code. To execute the query just create a DBSession
instance, and call the A
module functions by using de query
function
import A
db_session = db_connection.get_session()
a_1 = db_session.query(A.find_by_id, 1)
print(a_1)
# (1, 'Paul')
all_a = db_session.query(A.get_all)
print(all_a)
# [(1, 'Paul'), (2, 'George')]
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