A CSV to XML converter for OpenProdoc
CSV2OPD - A CSV to XML converter for OpenProdoc
This desktop application transforms the metadata stored in a CSV file into XML files compatible with the open source DMS OpenProdoc.
The code is licensed under the GNU General Public License v3.0. Feel free to adapt the application for your specific needs!
This application can be used on any operating system which supports Python 3.x.
Check if you have Python 3.x installed by entering the following command into your terminal:
You should see something like this:
$ python --version Python 3.7.0
Otherwise, download and install Python before moving forward.
The easiest way to download and install CSV2OPD is using pip:
pip install csv2opd
Alternatively, you can clone this repository:
git clone https://github.com/guillearch/csv2opd.git
Then go to the new directory and run:
# If Python 3 is the default version python setup.py install # If Python 2 is the default version python3 setup.py install
Running the application
- Run the application by entering the following command:
- Select the input CSV file. It must have a header.
- Select the output directory for the XML files.
- Select the type of field separator (delimiter) used by your CSV file.
- Click the button Convert.
Once the conversion is completed, you can import the documents and the metadata into OpenProdoc following the instructions provided in the official documentation.
We're all set!
Important: The name of each document must be the same than the value of the Name field on its related OPD file.
This application is intended for OpenProdoc 2.x.
If you need any further assistance, don't hesitate to contact me.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size csv2opd-1.1.1-py3-none-any.whl (17.3 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size csv2opd-1.1.1.tar.gz (4.5 kB)||File type Source||Python version None||Upload date||Hashes View|