oem2orm 0.2.8

SQLAlchemy module to generate ORM, read from data model (oedatamodel) in open-energy-metadata(oem-v1.4.0) JSON format

OEM to ORM

Create database tables (and schema) from oemetadata json file(s)

Installation:

pip install oem2orm

Usage:

This tool is part of the open-energy-metadata (OEM) integration into the OEP. To use this tool with the OEP API you need to be signed up to the OEP since you need to provide an API-Token.

If you want to upload OEM that was officially reviewed you must clone the OEP data-preprocessing repository on GitHub. The data-review folder contains all of the successfully reviewed OEM files.

For security reasons, tables can only be created in existing schemas and just in the schemas "model_draft" and "sandbox".

Keep in mind the current state is not fully tested. The code is still quit error prone f.e. the postgres types (column datatype) are not fully supported by the oedialct - work in progress.

Terminal/CLI-Application

Step-by-Step: 0. pip and python have to be installed and setup on your machine

1. Create env from requirements.txt, and activate
2. Put the metadata file in the folder metadata or put your own folder in this directory
3. execute the following in a terminal:

pipx install oem2orm
oem2orm
Enter metadata folder name:
...

4. Provide credentials and folder name in prompt
5. The table will be created

Import as Module

You can simply import this module in your Python script.py like this:

from oem2orm import oep_oedialect_oem2orm as oem2orm

Now just call the functions provided in oem2orm like this:

Recommended execution order:

• Setup the logger

oem2orm.setup_logger()

• Setup the Database API connection as Namedtuple storing the SQLAlchemy engine and metadata:

db = oem2orm.setup_db_connection()

• Provide the oem files in a folder (in the current directory).
• Pass the folder name to the function:

metadata_folder = oem2orm.select_oem_dir(oem_folder_name="folder_name")

• Setup a SQLAlchemy ORM including all data-model in the provided oem files:

orm = oem2orm.collect_ordered_tables_from_oem(db, metadata_folder)

• Create the tables on the Database:

oem2orm.create_tables(db, orm)

• Delete all tables that have been created (all tables available in sa.metadata)

oem2orm.delete_tables(db, orm)

Docs:

Database connection

We use a global namedtuple called "DB" To store the sqlalchemy connection objects engine and metadata. The namedtuple is available wen import oem2orm in a script. To establish the namedtuple use the function setup_db_connection(). Now you can use DB.engine or DB.metadata.

oem2orm generator

Supported datatypes

Spatial Types

We create columns with spatial datatypes using Geoalchemy2.

Database support