[Pipeline]
# These directories must all share a filesystem, in order to be able to avoid
# races when packages are modified.

## The directory where incoming queue items are picked up.
queuedir = /some/dir

## The parent directory of all incoming job files. Each job uploading files
## must create its own subdirectory here.
uploaddir = /another/dir

## The directory storing finished packages.
packagedir = /a/third/dir

## The directory where the pipeline will store temporary files while working
## on a job.
tempdir = /a/fourth/dir

## The directory that keeps track of newly assigned package id:s
cachedir = /a/fifth


[Logging]
# Logging settings. This entire section is optional.
# see https://docs.python.org/3.9/library/logging.html for details

## What log messages are shown on stderr.
## Defaults to ERROR if omitted.
## For the spammiest logging, use the number 5 here.
## Beware that this can log multiple gigabytes per hour.
log_level = DEBUG

## Mail settings for emailing log messages.
## If mail_level is not set, no emails will be sent.
## If mail_level is present, all other mail_* fields must be configured.
mail_level = ERROR
mail_from = messages@example.com
mail_to = admin@example.com
mail_subject = play-daemon has encountered an error


[Notifier]
# The destination for notifications sent by the pipeline
url = https://example.com/notify

# The authorization token to use for authenticating to the recipient
token = A70keN


[FFmpeg]
# The maximum number of ffmpeg jobs to run in parallel
workers = 4


[Daisy]
# Credentials and URL for Daisy API access
user = someuser
password = somepass
url = https://example.com/daisyapi/


[Ldap]
url = ldaps://ldap.example.com
base_dn = dc=example,dc=com


[SubtitlesWhisperHandler]
# The whisper model to use for subtitle generation
whispermodel = large-v2

# Where to store model data
modeldir = /some/path

# What device type to use. Accepts 'cpu' or 'gpu'.
device = gpu

# CPU only. Sets the number of workers to use.
count = 2

# GPU only. Specifies which GPUs to use, as a comma-separated list.
# GPUs are indexed from 0. nvidia-smi reports index and bus ID of
# each available GPU.
gpu_ids = 0, 1

# GPU only. Sets the number of workers to start on each used gpu.
threads_per_gpu = 3


[ThumbnailHandler]
# The base image to use when creating presentation thumbnails
baseimage = /path/to/template.png

# The color to use for thumbnail image text
## Must be a valid PIL color
textcolor = white


[MediasiteProcessor]
# Credentials to use when downloading files from mediasite
user = someuser
password = somepass

# The chunk size to use when downloading files.
## 10MiB; seems optimal for speed
## Tested 8k, 10MiB and 20MiB
chunksize = 10485760


[CatturaProcessor]
# Recorders: <name> = <daisy:lokalid>
## <name> must match the name configured in the recorder
## under Settings > System > Recorder Name
Aula = 620