Skip to main content

Checks validity of a 3Di schematisation

Project description

https://img.shields.io/pypi/v/threedi-modelchecker.svg Github Actions status

A tool to verify the correctness of a 3Di schematisation.

It asserts the correctness of a 3Di schematisation and provides detailed information about any potential errors in it.

This package only work against a specific schematisation version. Use https://pypi.org/project/threedi-schema/ to upgrade a schematisation version. See also the 3Di documentation at https://docs.3di.lizard.net/en/stable/d_before_you_begin.html#database-overview

Note that the name “modelchecker” might be slightly confusing: the thing that is checked is a schematisation, and not a threedimodel. A schematisation is built interactively by the user and this schematisation will be converted to a 3Di-Model which can be used in simulations.

Installation

pip install threedi-modelchecker

Note that raster checks will be skipped unless GDAL is available. threedi-modelchecker is also integrated into the ThreediToolbox Qgis plugin: https://github.com/nens/ThreeDiToolbox

Example

The following code sample shows how you can use the modelchecker to run all configured checks and print an overview of all discovered errors:

from threedi_modelchecker.exporters import format_check_results
from threedi_modelchecker import ThreediModelChecker
from threedi_schema import ThreediDatabase

sqlite_file = "<Path to your sqlite file>"
database = ThreediDatabase(sqlite_file)

model_checker = ThreediModelChecker(database)
for check, error in model_checker.errors(level="WARNING"):
    print(format_check_results(check, error))

Command-line interface

Use the modelchecker from the command line as follows:

threedi_modelchecker check -s path/to/model.sqlite -l warning

By default, WARNING and INFO checks are ignored. To skip the beta features check, add the –allow-beta flag.

Development

A docker image has been created for easy development. It contains an postgis server with an empty 3Di database to allow for easy testing.

Build the image:

docker-compose build

Run the tests:

docker-compose run modelchecker pytest

See Creating revisions for instructions on how to change the 3Di model schematisation.

Release

Make sure you have zestreleaser installed.

fullrelease

When you created a tag, make sure to upload it to pypi.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

threedi-modelchecker-2.2.4.tar.gz (61.2 kB view details)

Uploaded Source

Built Distribution

threedi_modelchecker-2.2.4-py3-none-any.whl (62.5 kB view details)

Uploaded Python 3

File details

Details for the file threedi-modelchecker-2.2.4.tar.gz.

File metadata

  • Download URL: threedi-modelchecker-2.2.4.tar.gz
  • Upload date:
  • Size: 61.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.4

File hashes

Hashes for threedi-modelchecker-2.2.4.tar.gz
Algorithm Hash digest
SHA256 816409aa1483d3d772446983eaaf938dca19bad6ed796b5d38116555e4928e1f
MD5 9ca8cede1adffb6723ea812e516ddecf
BLAKE2b-256 370c36715b0e383bf3eaf9ba1bdb39f5550498d7fbf7d34062ae44794037bdd3

See more details on using hashes here.

File details

Details for the file threedi_modelchecker-2.2.4-py3-none-any.whl.

File metadata

File hashes

Hashes for threedi_modelchecker-2.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 4cea5473ae73e9d58d56cdfb1abbc466ed596115f59bfbc2d7683222fe9a3db8
MD5 3e48780e1d15a8b897c68ccd7947afa1
BLAKE2b-256 97a2758840893450fa6b78248db5a7a936cc6ecaa131a765ec3c8ed7bd61bd20

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page