Small fixes

app/daemon/job_utils.py

@@ -53,7 +53,12 @@ def _create_job_service(job):
     command += f' --mem-mb {mem_mb}'
     command += f' --n-cores {n_cores}'
     if job.service == 'spacy-nlp-pipeline':
-        command += f' -m {job.service_args["model"]}'
+        model_id = hashids.decode(job.service_args['model'])
+        model = SpaCyNLPPipelineModel.query.get(model_id)
+        if model is None:
+            job.status = JobStatus.FAILED
+            return
+        command += f' -m {model.pipeline_name}'
         if 'encoding_detection' in job.service_args and job.service_args['encoding_detection']:
             command += ' --check-encoding'
     elif job.service == 'tesseract-ocr-pipeline':
@@ -139,6 +144,8 @@ def _create_job_service(job):
     )
     ''' ## Restart policy ## '''
     restart_policy = docker.types.RestartPolicy()
+    print(command)
+    print(mounts)
     try:
         docker_client.services.create(
             image,

app/models.py

@@ -698,7 +698,7 @@ class SpaCyNLPPipelineModel(FileMixin, HashidMixin, db.Model):
             db.session.add(model)
             db.session.flush(objects=[model])
             db.session.refresh(model)
-            model.filename = f'{model.id}.traineddata'
+            model.filename = m['url'].split('/')[-1]
             r = requests.get(m['url'], stream=True)
             pbar = tqdm(
                 desc=f'{model.title} ({model.filename})',

app/services/services.yml

@@ -62,4 +62,4 @@ spacy-nlp-pipeline:
       methods:
         - 'encoding_detection'
       publishing_year: 2022
-      url: 'https://gitlab.ub.uni-bielefeld.de/sfb1288inf/spacy-nlp-pipeline/
+      url: 'https://gitlab.ub.uni-bielefeld.de/sfb1288inf/spacy-nlp-pipeline/'