dbpoint 0.1.3

Single access point for multiple SQL-databases. Purpose to stream data from one to other.

dbpoint

Unified interface for data access commands for different databases (run) and having multiple databases on leash for data pump (copy or stream).

Warning: VERY DRAFT!

Description

The rationale behind this package is have multiple database connection at same time to transfer data or to push/pull data for application to/from different databases (logs, users and business entities can be hold in separation).

Beware: This component won't help You in any way to maintain dialect differences. You have to be a SQL professional and build correct SQL commands according to product and version! And don't let Your SQL injected with data from untrusted sources (like web user interface forms).

There are "drivers" for some database products. All they need some pip install command which are not included into this component (just because You usually don't need them all).

Some of them may need additional supplier's drivers/software.

• oracle -> oracledb - Oracle server older then 12 needs Oracle Instant Client (follow their instructions for Your dev/prod op.system)
• asa -> sqlanydb - Sybase Adaptive Server Anywhere (ASA) needs allways some client installation (look at SAP site for them)
• pg -> psycopg2 - PostgreSQL
• maria -> mariadb - MariaDB (should work for MySQL as well)
• mssql -> pymssql - Microsoft SQL Server (latest info is that pymssql is compatible till python 3.11, so be cautios)
• odbc -> pyodbc - ODBC. For Linux You need LinuxODBC. Two ways to use: via DSN (needs more work from sysadm/op) and via Driver. Code includes some tricks for MSSQL trusted connections and for Progres OpenEdge. Anyway - take this component as draft/crap.

Installation

Reasonable way is to import via PIP

pip install dbpoint

Or copy code under Your src folder (from where?)

Usage

Prepare the connections definition file like that:

- name: main
  driver: pg
  host: 127.0.0.1
  port: 5432
  engine: ~
  database: myapp
  username: myuser
  password: mypass
  appname: MyApp

- name: previous
  driver: maria
  host: 127.0.0.1
  port: 3306
  engine: ~
  database: olddata
  username: olduser
  password: oldpass
  appname: ~
  

Keep in mind:

• Don't keep passwords in code repos!
• Let the deployment mechanism to create this file differently for dev/test/prod etc
• For dev purposes You may want keep this file in You computer but outside the code/git area
• How You keep Your connection data is out of scope of this package (file/service, yaml/json/toml/xml -- Your call)

from dbpoint.hub import Hub # Hub was nice short name, but not very clear.. but Dbpoint or DbPoint or DBPoint .. ? confusing
# load your connection profiles from ealier yaml sample
# or some other source  and transform this data to list of dicts with above structure
list_of_profiles: list[dict] = [] # TODO load list of dict from configuration (connections.yaml)
# ...

hub = Hub(list_of_profiles)

# if dynamically is needed more connections then add one profile data to controller
third_profile = { "name": "third", "driver": "pg", "host": "localhost", "port": 5432, "database": "third", "username": "friend", "password": "***"}
hub.add_profile('third', third_profile)

# run SQL-command without result set (SQL world "execute"), including nonreturning insert etc
sql = f"CREATE SCHEMA IF NOT EXISTS area"
hub.run('main', sql, False) # last is positional and named: do_return=False

# run SQL-command with response data (including returning insert etc)
sql = f"SELECT id, name FROM area.entity WHERE id < 10"
result_set = hub.run('old', sql)
for row in result_set:
  print("id = " + str(row[0]) + " and name is " + row[1])

Function run() has some kwargs with next defaults:

• on_success_commit = True
• on_error_rollback = True
• on_error_disconnect = False

License

probably MIT ... to be determined

Project status

Package can work inside other solution but is still draft, fullfilled with silly (and non-english) comments and non-pythonic code-style.

Tests are missing.

Exception system must be redone. At first sight custom exceptions (including wrappers to data drivers emitted exceptions) looked as good idea, but it is quite messy now.