Import complex XML files to a relational database
Project description
Loading XML files into a relational database
xml2db
is a Python package which allows parsing and loading XML files into a relational database. It handles complex
XML files which cannot be denormalized to flat tables, and works out of the box, without any custom mapping rules.
It can be used within an Extract, Load, Transform data pipeline pattern as it allows loading XML files into a relational data model which is very close from the source data, yet easy to work with.
Starting from an XSD schema which represents a given XML structure, xml2db
builds a data model, i.e. a set of database
tables linked to each other by foreign keys relationships. Then, it allows parsing and loading XML files into the
database, and getting them back from the database into XML format if needed.
Loading XML files into a relational database with xml2db
can be as simple as:
from xml2db import DataModel
# Create a data model of tables with relations based on the XSD file
data_model = DataModel(
xsd_file="path/to/file.xsd",
connection_string="postgresql+psycopg2://testuser:testuser@localhost:5432/testdb",
)
# Parse an XML file based on this XSD
document = data_model.parse_xml(
xml_file="path/to/file.xml"
)
# Insert the document content into the database
document.insert_into_target_tables()
The data model created by xml2db
will be close to the XSD schema. However, xml2db
will perform a few systematic
simplifications aimed at limiting the complexity of the resulting data model and the storage footprint. The resulting
data model can be configured, but the above code will work out of the box, with reasonable defaults.
The raw data loaded into the database can then be processed if need be, using for instance DBT, SQL views or stored procedures aimed at extracting, correcting and formatting the data into more user-friendly tables.
This package uses sqlalchemy
to interact with the database, so it should work with different database backends.
Automated integration tests run against PostgreSQL, MySQL, MS SQL Server and DuckDB. You may have to install additional
packages to connect to your database (e.g. psycopg2
for PostgreSQL, pymysql
for MySQL, pyodbc
for MS SQL Server or
duckdb_engine
for DuckDB).
Please read the package documentation website for all the details!
Installation
The package can be installed, preferably in a virtual environment, using pip
:
pip install xml2db
Testing
Running the tests requires installing additional development dependencies, after cloning the repo, with:
pip install -e .[tests,docs]
Run all tests with the following command:
python -m pytest
Integration tests require write access to a PostgreSQL or MS SQL Server database; the connection string is provided as an
environment variable DB_STRING
. If you want to run only conversion tests that do not require a database you can run:
pytest -m "not dbtest"
Contributing
xml2db
is developed and used at the French energy regulation authority (CRE) to process complex
XML data.
Contributions are welcome, as well as bug reports, starting on the project's issue page.
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