CSV To DFILT

 

<< Click to Display Table of Contents >>

Navigation:  Nodes > Tasks > Mistika Features >

CSV To DFILT

 

 

Purpose

 

Modify the text information inside the "Watermark" display filter by getting it from a .csv file.

It is also intended as an advanced Python example (source code is provided).

 

For a more detailed description, check the more basic version Watermark Cfg. This node does something similar, but in this case getting the text from a .csv file.

 

Note: This node does not "render" any images by itself. What it does is to configure the display filter with the new metadata. Then, posterior encoder nodes can load the display filter and create the necessary text vectors and render the images.

 

Inputs

 

csv: To connect the .csv file containing the header, body, and footer for the Watermark.

 

Outputs

 

files: The input file plus the new text metadata.

 

Note: this is just the initial template and you can add connectors as needed.

 

Standard properties

 

Object Name

Color

Lock

 

Python standard properties

code

NOTE: An introduction to all the Python tools in Mistika Workflows is available in the Python scripting tools section.

 

 

Node specific properties

 

Header Default, Body Default, Footer Default: This fields are the same fields on the "Watermark" Display filter. You can modify them on the csv file or by changing them in these fields.  

 

Delimiter: Delimiter used in the .csv file.

 

 

 

 

Developer reference (Python - CSVToDFILT.[Property ID], API Rest - node/CSVToDFILT/property/[Property ID])

 

Property Label

Property ID

Header Default

headerDefault

Body Default

bodyDefault

Footer Default

footerDefault

Delimiter

delimiter