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Preliminary work for nlp model runtime integration

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This commit is contained in:
Inga Kirschnick
2022-11-09 13:51:42 +01:00
parent 033872718e
commit ad17ec2cc8
2 changed files with 12 additions and 3 deletions
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13
app/daemon/job_utils.py
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@@ -3,7 +3,8 @@ from app.models import (
Job,
JobResult,
JobStatus,
TesseractOCRPipelineModel
TesseractOCRPipelineModel,
SpaCyNLPPipelineModel
)
from datetime import datetime
from flask import current_app
@@ -103,6 +104,16 @@ def _create_job_service(job):
models_mount_target = f'/usr/local/share/tessdata/{model.filename}'
models_mount = f'{models_mount_source}:{models_mount_target}:ro'
mounts.append(models_mount)
elif job.service == 'spacy-nlp-pipeline':
model_id = hashids.decode(job.service_args['model'])
model = SpaCyNLPPipelineModel.query.get(model_id)
if model is None:
job.status = JobStatus.FAILED
return
models_mount_source = model.path
models_mount_target = f'/usr/local/share/spacy/models/{model.filename}'
models_mount = f'{models_mount_source}:{models_mount_target}:ro'
mounts.append(models_mount)
''' ### Output mount ### '''
output_mount_source = os.path.join(job.path, 'results')
output_mount_target = '/output'