Converter to extract data out of DCC (.xml) files, exporting it as a python dict or a .json file.
Project description
Dcc-Json Toolkit
The tool offers a set of tools for both users and developers for the Digital Calibration Certificate (DCC) files. The functionality of the tool allows:
- Caching locally any released
dcc.xsdfile, together with all its required imports. - Validation of any DCC file, printing all the possible issues it has.
- Bidirectional conversion XML-JSON for DCC files.
Setup
Python Environment
Install the package via pip
pip install dcc-json-toolkit
This method is recommended for any Linux system or to integrate the tool at any development.
Windows executable
The executable file provides access to all the commandline tools without the need of extra installation. This option is recommended for those users that do not require Python.
To obtain the executable, access the GitLab Project Releases page, then download the file under the Packages section for the desired release.
==================================================
DccJsonToolkit
==================================================
Write the name of the tool you want to use (followed by its arguments):
1. dcc-validate : Validate existing DCC files.
2. dcc-cache : Manage the local cache.
3. dcc2json : Exports a DCC (.xml) file into a JSON file.
4. json2dcc : Creates a DCC file from JSON data.
If you don't know what the tool does, write '-h' after its name. For example, 'dcc-validate -h'. Then press ENTER.
Note: The executable works only on Windows OS.
Usage
Commandline Tools
- DCC-JSON file conversion: Use either
dcc2jsonorjson2dcc. - DCC file validation: Use
dcc-validateto display all errors of a DCC file or to compare it with a different XSD version. The comparison is quite helpful to control the upgrade of any DCC to the next released XSD version. - Cache Manager: Use
dcc-cacheto control cached versions and see the absolute path for every cache.
Read more about the CLI tools.
Developer Tools
If you plan to integrate some of the functionality onto your own code, all functionalities can be recreated with the use of DccSchema.
from dcc_json_toolkit import DccSchema
schema = DccSchema("3.3.0")
dcc_as_dict = schema.to_dict("./path/to/dcc.xml")
Read the complete official documentation.
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dcc_json_toolkit-1.1.0.tar.gz.
File metadata
- Download URL: dcc_json_toolkit-1.1.0.tar.gz
- Upload date:
- Size: 28.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e8972b71344c70d95fec715efe0f49cb69c6c73b3b2d7596626d13caf913f596
|
|
| MD5 |
4fd248885a04b184612c959ecda7db99
|
|
| BLAKE2b-256 |
19f9f1797e5ce2bcd48d2237c72bfdb05e0962c40ecfdd734829bdc908391f71
|
File details
Details for the file dcc_json_toolkit-1.1.0-py3-none-any.whl.
File metadata
- Download URL: dcc_json_toolkit-1.1.0-py3-none-any.whl
- Upload date:
- Size: 26.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
87d78e13ca4825577a788ab91d92b7dfac6e9a9ff3c6bd1b4cc4d85c6ce15938
|
|
| MD5 |
670b185252f7eb3b584504fea92c5e56
|
|
| BLAKE2b-256 |
e752034f7ed50e271c127c1b05efa3292c6ad89896551a22be24b862214a1462
|