ddcdatabases 1.0.20

Databases Connection and Queries

Databases Session Connections and ORM Queries

Install only sqlite

pip install ddcDatabases

Install All databases

pip install ddcDatabases[all]

Install MSSQL

pip install ddcDatabases[mssql]

Install MYSQL

pip install ddcDatabases[mysql]

Install PostgreSQL

pip install ddcDatabases[pgsql]

Install MONGODB

pip install ddcDatabases[mongodb]

Databases

• Parameters for all classes are declared as OPTIONAL falling back to .env file variables
• All examples are using db_utils.py
• By default, the MSSQL class will open a session to the database, but the engine can be available at session.bind
• SYNC sessions defaults:
  • autoflush is True
  • expire_on_commit is True
  • echo is False
• ASYNC sessions defaults:
  • autoflush is True
  • expire_on_commit is False
  • echo is False

SQLITE

class Sqlite(
    filepath: Optional[str] = None,
    echo: Optional[bool] = None,
    autoflush: Optional[bool] = None,
    expire_on_commit: Optional[bool] = None,
    extra_engine_args: Optional[dict] = None,
)

Session

import sqlalchemy as sa
from ddcDatabases import DBUtils, Sqlite
with Sqlite() as session:
    utils = DBUtils(session)
    stmt = sa.select(TableModel).where(TableModel.id == 1)
    results = utils.fetchall(stmt)
    for row in results:
        print(row)

MSSQL

class MSSQL(        
    host: Optional[str] = None,
    port: Optional[int] = None,
    user: Optional[str] = None,
    password: Optional[str] = None,
    database: Optional[str] = None,
    schema: Optional[str] = None,
    echo: Optional[bool] = None,
    pool_size: Optional[int] = None,
    max_overflow: Optional[int] = None,
    autoflush: Optional[bool] = None,
    expire_on_commit: Optional[bool] = None,
    extra_engine_args: Optional[dict] = None,
)

Sync Example

import sqlalchemy as sa
from ddcDatabases import DBUtils, MSSQL
with MSSQL() as session:
    stmt = sa.select(TableModel).where(TableModel.id == 1)
    db_utils = DBUtils(session)
    results = db_utils.fetchall(stmt)
    for row in results:
        print(row)

Async Example

import sqlalchemy as sa
from ddcDatabases import DBUtilsAsync, MSSQL
async with MSSQL() as session:
    stmt = sa.select(TableModel).where(TableModel.id == 1)
    db_utils = DBUtilsAsync(session)
    results = await db_utils.fetchall(stmt)
    for row in results:
        print(row)

PostgreSQL or MySQL

class PostgreSQL(
    host: Optional[str] = None,
    port: Optional[int] = None,
    user: Optional[str] = None,
    password: Optional[str] = None,
    database: Optional[str] = None,
    echo: Optional[bool] = None,
    autoflush: Optional[bool] = None,
    expire_on_commit: Optional[bool] = None,
    engine_args: Optional[dict] = None,
)

Sync Examples

import sqlalchemy as sa
from ddcDatabases import DBUtils, PostgreSQL
with PostgreSQL() as session:
    stmt = sa.select(TableModel).where(TableModel.id == 1)
    db_utils = DBUtils(session)
    results = db_utils.fetchall(stmt)
    for row in results:
        print(row)

import sqlalchemy as sa
from ddcDatabases import DBUtils, MySQL
with MySQL() as session:
    stmt = sa.text("SELECT * FROM users")
    db_utils = DBUtils(session)
    results = db_utils.fetchall(stmt)
    for row in results:
        print(row)

Async Example

import sqlalchemy as sa
from ddcDatabases import DBUtilsAsync, PostgreSQL
async with PostgreSQL() as session:
    stmt = sa.select(TableModel).where(TableModel.id == 1)
    db_utils = DBUtilsAsync(session)
    results = await db_utils.fetchall(stmt)
    for row in results:
        print(row)

MongoDB

class PostgreSQL(
    host: Optional[str] = None,
    port: Optional[int] = None,
    user: Optional[str] = None,
    password: Optional[str] = None,
    database: Optional[str] = None,
    batch_size: Optional[int] = None,
    limit: Optional[int] = None,
)

Sync Example using arguments instead of .env file

credentials = {
    "host": "127.0.0.1",
    "user": "admin",
    "password": "admin",
    "database": "admin",
}

from ddcDatabases import MongoDB
from bson.objectid import ObjectId
with MongoDB(**credentials) as mongodb:
    query = {"_id": ObjectId("6772cf60f27e7e068e9d8985")}
    collection = "movies"
    with mongodb.cursor(collection, query) as cursor:
        for each in cursor:
            print(each)

ORM Engines

Using PostgreSQL as example

Sync Engine

from ddcDatabases import PostgreSQL
with PostgreSQL() as session:
    engine = session.bind
    ...

Async Engine

from ddcDatabases import PostgreSQL
async with PostgreSQL() as session:
    engine = await session.bind
    ...

ORM DBUtils and DBUtilsAsync

• Take an open session as parameter
• Can use SQLAlchemy statements
• Execute function can be used to update, insert or any SQLAlchemy.text

from ddcDatabases import DBUtils
db_utils = DBUtils(session)
db_utils.fetchall(stmt)                     # returns a list of RowMapping
db_utils.fetchvalue(stmt)                   # fetch a single value, returning as string
db_utils.insert(stmt)                       # insert into model table
db_utils.deleteall(model)                   # delete all records from model
db_utils.insertbulk(model, list[dict])      # insert records into model from a list of dicts
db_utils.execute(stmt)                      # this is the actual execute from session

Source Code

Build

poetry build -f wheel

Run Tests and Get Coverage Report using Poe

poetry update --with test
poe tests

License

Released under the MIT License

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