You can create some custom Python hook files to do some custom scripting.
In order to find the hook files the file name must match exactly. Please see list below.
Script | Description |
|---|---|
| Gets executed before each transcoding task |
| Gets executed after each transcoding task |
| Gets executed before the file paths get loaded into the ingest view |
| Gets execture before the library elements get exported |
The software follows this order looking for Python Hook files.
directory defined in the
DASELEMENT_RESOURCEenvironment variableyour local
.das-elementfolder (for Linux:~/.das-element/scripts/hooksor for Windows%homepath%/.das-element/scripts/hooks)
Pre Render Hook
The input is the resolver data dictionary which will be used to resolve the path pattern. You can modify it here before the transcoding task gets processed.
You will need to return the same dictionary with your changes included.
In the example below, in order to resolve a path pattern like <custom.dependecy> you need to add some value for the custom data. If that is not provided the resolve would otherwise fail if you re-render the proxies and there is no main task to provide the dependency which we normally would get from the post render hook after sending the task to the render farm.
"""
__ __ __
____/ /___ ______ ___ / /__ ____ ___ ___ ____ / /_
/ __ / __ `/ ___/ / _ \/ / _ \/ __ `__ \/ _ \/ __ \/ __/
/ /_/ / /_/ (__ ) / __/ / __/ / / / / / __/ / / / /_
\__,_/\__,_/____/ \___/_/\___/_/ /_/ /_/\___/_/ /_/\__/
Example file if you use some custom dependency in your submission scripts.
To resolve a path pattern like <custom.dependecy> you need to add some value for the custom data.
If that is not provided the resolve would otherwise fail if you re-render the proxies and there is no main task to provide the depdency.
"""
import sys
def main(*args):
data = args[0]
# make sure to set some value for the dependency.
# otherwise it will fail when resolving the path pattern '<custom.dependency>'
if not data.get('template_values', {}).get('custom'):
data['template_values']['custom'] = {'dependency': ''}
return data
if __name__ == '__main__':
main(sys.argv[1:])
Post Render Hook
The input is the output of the process called by the custom command task.
You will have to return a Dictionary which will be added as custom to the resolver data and can later be accessed in the Path Builder. return {'dependency': job_id} can later be resolved with <custom.dependency>
"""
__ __ __
____/ /___ ______ ___ / /__ ____ ___ ___ ____ / /_
/ __ / __ `/ ___/ / _ \/ / _ \/ __ `__ \/ _ \/ __ \/ __/
/ /_/ / /_/ (__ ) / __/ / __/ / / / / / __/ / / / /_
\__,_/\__,_/____/ \___/_/\___/_/ /_/ /_/\___/_/ /_/\__/
Example Python script for post render hook (post_render.py)
This script will crawl the output for the Job Submission ID and pass it on to the proxy tasks.
"""
import sys
import re
def main(*args):
# args[0] is a list of all outputs from all the transcoding step items
job_outputs = args[0]
job_ids = []
for job_output in job_outputs:
if not job_output:
continue
match = re.search(r'JobID=([a-zA-Z0-9]*)', job_output)
if match:
job_id = match.group(1)
job_ids.append(job_id)
print('Job ID: {}'.format(job_id))
# returns data that can later be access as "custom"
# in this example: <custom.dependency>
return {'dependency': ','.join(job_ids)}
if __name__ == '__main__':
main(sys.argv[1:])
Pre Ingest Load
This hook can be used to parse the file paths to set tags and the category from the file path before the items are loaded into the ingest list. These tags and the category will automatically populate the ingest list items.
The input is a List of Dictionaries and the same has to be returned from the function.
"""
__ __ __
____/ /___ ______ ___ / /__ ____ ___ ___ ____ / /_
/ __ / __ `/ ___/ / _ \/ / _ \/ __ `__ \/ _ \/ __ \/ __/
/ /_/ / /_/ (__ ) / __/ / __/ / / / / / __/ / / / /_
\__,_/\__,_/____/ \___/_/\___/_/ /_/ /_/\___/_/ /_/\__/
Example Python script for pre ingest load hook (pre_ingest_load.py)
This scripts will automatically create tags based on keywords in the file paths.
The last found tag will be set as the category.
The script will also try to find assets with a certain naming pattern like:
env_intHouse
veh_awesomeCar
"""
import sys
import re
# search for these tags in the file paths and create them as tags
TAGS = ['assets', 'environments', 'hdri', 'photogrammetry', 'texture', 'compositors_toolkit']
def main(*args):
# args will be a List of Dicts:
# [{'path': '/path/to/some/file.mov', 'category': '', 'tags': []}]
items = args[0]
result = []
for item in items:
path_items = item.get('path', '').split('/')
for path_item in path_items:
# search for keywords in file path
if path_item in TAGS:
item.get('tags', []).append(path_item)
# example regular expression to search for a pattern in the file path
regex_asset = r'(prp|env|veh_\w*)'
match = re.search(regex_asset, path_item)
if match:
item.get('tags', []).append(path_item)
if item.get('tags'):
# set last tag as the category
item['category'] = item['tags'][-1]
result.append(item)
return result
if __name__ == '__main__':
main(sys.argv[1:])
Pre Export
This hook can be used to edit, reformat or add additional values to the export from the library elements.
Tip: use this hook to create a CSV file that you can import into Shotgrid
The input is a List of Dictionaries and the same has to be returned from the function.
"""
__ __ __
____/ /___ ______ ___ / /__ ____ ___ ___ ____ / /_
/ __ / __ `/ ___/ / _ \/ / _ \/ __ `__ \/ _ \/ __ \/ __/
/ /_/ / /_/ (__ ) / __/ / __/ / / / / / __/ / / / /_
\__,_/\__,_/____/ \___/_/\___/_/ /_/ /_/\___/_/ /_/\__/
Example Python script for pre ingest load hook (pre_export.py)
This scripts converts the data so you can import a CSV file into Autodesk Shotgrid
Example output from das element:
[{
'name': 'awesome_element_00044',
'category': 'fire',
'category_id': 'Q3196',
'channel': 3,
'height': 1080,
'width': 192,
'pixel_aspect': '1',
'frame_first': 1001,
'frame_last': 1049,
'frame_count': 50,
'frame_rate': '25',
'created_at': '2021-10-01 09:26',
'media_type': 'movie',
'number': '00044',
'colorspace': 'sRGB',
'colorspace_source': 'sRGB',
'popularity': 23,
'tags': 'fire, flame, some other tag',
'path': '/path/to/server/awesome_element_0044/main_1920x1080_srgb/awesome_element_0044.mov',
'path_thumbnail': '/path/to/server/awesome_element_0044/thumb_960x540/awesome_element_0044.jpg',
'path_proxy': '/path/to/server/awesome_element_0044/proxy_1920x1080/awesome_element_0044.mov',
'path_filmstrip': '/path/to/server/awesome_element_0044/filmstrip_11520x270/awesome_element_0044.jpg'
'path_source': '/server/path/to/source_file.mov',
}]
Example output format for Shotgrid:
"Version Name","Frame Range","Frame Count","First Frame","Frame Rate","Last Frame","Path to Frames","Tags"
"awesome_element_0044","1001-1049","50","1001","25","1049","/path/to/server/awesome_element_0044/main_1920x1080_srgb/awesome_element_0044.mov","fire, flame, some other tag"
"""
import sys
def main(*args):
# args will be a List of Dicts:
items = args[0]
result = []
for item in items:
frame_range = '{}-{}'.format(item['frame_first'], item['frame_last'])
sg_item = {
"Version Name": item['name'],
"Frame Count": item['frame_count'],
"First Frame": item['frame_first'],
"Last Frame": item['frame_last'],
"Frame Rate": item['frame_rate'],
"Frame Range": frame_range,
"Path to Frames": item['path'],
"Tags": item['tags'].replace(',', ', '),
}
result.append(sg_item)
return result
if __name__ == '__main__':
main(sys.argv[1:])