aftonfalk 1.1.1

Makes it easier to interact with sql server using python

Aftonfalk

Aftonfalk is a module that makes it easier to interact with microsoft sql server. You can see it as an extension to pyodbc

How to install

pip install aftonfalk

Example usage

Instantiate a driver:

driver = MssqlDriver(
    dsn="mssql://sa:Password1!@host.docker.internal:31433",
    driver=r"{ODBC Driver 18 for SQL Server}"
)

Dropping a table using execute

driver.execute(sql=f"DROP TABLE source_system.schema.table;")

read & write data

data = driver.read(query="select * from tablex")
driver.write(sql="INSERT INTO tablex (column_name) VALUES ('column_value')", data=data)

Manage tables.

from aftonfalk.mssql.enums_ import SqlServerDataType, SqlServerIndexType, SqlServerTimeZone
from aftonfalk.mssql.types_ import Column, Table, Index


source_database = "source_database"
source_schema = "source_schema"
destination_database = "destination_database"
destination_schema = "destination_schema"

TIMEZONE = SqlServerTimeZone.CENTRAL_EUROPEAN_STANDARD_TIME

DATA_MODIFIED = Column(name="data_modified", data_type="DATETIMEOFFSET", constraints="NOT NULL")

DEFAULT_COLUMNS = [
    Column(name="metadata_modified", data_type="DATETIMEOFFSET", constraints="NOT NULL"),
    DATA_MODIFIED,
    Column(name="data", data_type="NVARCHAR(MAX)", constraints="NOT NULL"),
]
INDEXES = [
    Index(
        name="data_modified_nc",
        index_type=SqlServerIndexType.NONCLUSTERED,
        columns=[DATA_MODIFIED],
    )
]

tables = {
    "table": Table(
        source_path=f"{source_database}.{source_schema}.table",
        destination_path=f"{destination_database}.{destination_schema}.table",
        source_data_modified_column_name="credat",
        timezone=TIMEZONE,
        default_columns=DEFAULT_COLUMNS,
        unique_columns=[
            Column(
                name="table_code",
                data_type=SqlServerDataType.NVARCHAR.with_length(50),
                constraints="NOT NULL",
            )
        ],
        indexes=INDEXES
    )
}

then you can do things like easily:

creating tables

driver.create_table(path=table.destination_path, ddl=table.table_ddl())

inserting into tables

data = ...
driver.write(sql=table.insert_sql(), data=data)