# Submarine Swagger
## import dependencies
```python=
from __future__ import print_function
import time
import swagger_client
from swagger_client.rest import ApiException
from pprint import pprint
from swagger_client import JobLibrarySpec
from swagger_client import JobTaskSpec
from swagger_client import JobSpec
```
## Swagger client set host and port
https://stackoverflow.com/questions/49142551/python-swagger-client-set-host-and-port
```bash=
configuration = swagger_client.Configuration()
configuration.host = 'http://submarine:8080/api'
api_client = swagger_client.ApiClient(configuration=configuration)
api_instance = swagger_client.JobsApi(api_client=api_client)
```
## Create Experiment
https://github.com/apache/submarine/tree/master/docs/submarine-server#job-spec
```python=
jobLibrarySpec = JobLibrarySpec(name='tensorflow', version='2.1.0',image='gcr.io/kubeflow-ci/tf-mnist-with-summaries:1.0', cmd='python /var/tf_mnist/mnist_with_summaries.py --log_dir=/train/log --learning_rate=0.01 --batch_size=150', env_vars={'ENV1': 'ENV1'})
worker = JobTaskSpec(name='tensorlfow', image=None, cmd=None, env_vars=None, resources='cpu=4,memory=2048M', replicas=1, cpu=None, gpu=None, memory=None)
body = swagger_client.JobSpec(name='mnist', namespace='submarine', library_spec=jobLibrarySpec, task_specs={"Worker": worker})
try:
# Create a job
api_response = api_instance.create_job(body=body)
pprint(api_response)
except ApiException as e:
print("Exception when calling JobsApi->create_job: %s\n" % e)
```
### Output :point_down:
```bash=
{'attributes': {},
'code': 200,
'result': {'acceptedTime': '2020-05-19T07:02:30.000+08:00',
'createdTime': None,
'finishedTime': None,
'jobId': 'job_1589842062823_0001',
'name': 'mnist',
'runningTime': None,
'spec': {'librarySpec': {'cmd': 'python '
'/var/tf_mnist/mnist_with_summaries.py '
'--log_dir=/train/log '
'--learning_rate=0.01 '
'--batch_size=150',
'envVars': {'ENV1': 'ENV1'},
'image': 'gcr.io/kubeflow-ci/tf-mnist-with-summaries:1.0',
'name': 'tensorflow',
'version': '2.1.0'},
'name': '22mnist',
'namespace': 'submarine',
'projects': None,
'taskSpecs': {'Worker': {'cmd': None,
'envVars': None,
'image': None,
'name': 'tensorlfow',
'replicas': 1,
'resourceMap': {'cpu': '4',
'memory': '2048M'},
'resources': 'cpu=4,memory=2048M'}}},
'status': 'Accepted',
'uid': '037b9053-3d7e-4dcf-a622-6217653fb399'},
'success': True}
```
## Get Experiment
```python=
id = 'job_1589842062823_0001'
try:
# Find job by id
api_response = api_instance.get_job(id)
pprint(api_response)
except ApiException as e:
print("Exception when calling JobsApi->get_job: %s\n" % e)
```
## List Experiment
```python=
api_response = api_instance.list_job(id)
```
### Output :point_down:
```bash=
{'attributes': {},
'code': 200,
'result': [{'acceptedTime': '2020-05-19T07:02:30.000+08:00',
'createdTime': None,
'finishedTime': None,
'jobId': 'job_1589842062823_0001',
'name': 'mnist',
'runningTime': None,
'spec': {'librarySpec': {'cmd': 'python '
'/var/tf_mnist/mnist_with_summaries.py '
'--log_dir=/train/log '
'--learning_rate=0.01 '
'--batch_size=150',
'envVars': {'ENV1': 'ENV1'},
'image': 'gcr.io/kubeflow-ci/tf-mnist-with-summaries:1.0',
'name': 'tensorflow',
'version': '2.1.0'},
'name': 'mnist',
'namespace': 'submarine',
'projects': None,
'taskSpecs': {'Worker': {'cmd': None,
'envVars': None,
'image': None,
'name': 'tensorlfow',
'replicas': 1,
'resourceMap': {'cpu': '4',
'memory': '2048M'},
'resources': 'cpu=4,memory=2048M'}}},
'status': 'Accepted',
'uid': '037b9053-3d7e-4dcf-a622-6217653fb399'},
{'acceptedTime': '2020-05-21T11:54:29.000+08:00',
'createdTime': None,
'finishedTime': None,
'jobId': 'job_1589842062823_0003',
'name': '111mnist',
'runningTime': None,
'spec': {'librarySpec': {'cmd': 'python '
'/var/tf_mnist/mnist_with_summaries.py '
'--log_dir=/train/log '
'--learning_rate=0.01 '
'--batch_size=150',
'envVars': {'ENV1': 'ENV1'},
'image': 'gcr.io/kubeflow-ci/tf-mnist-with-summaries:1.0',
'name': 'tensorflow',
'version': '2.1.0'},
'name': 'mnist',
'namespace': 'submarine',
'projects': None,
'taskSpecs': {'Worker': {'cmd': None,
'envVars': None,
'image': None,
'name': 'tensorlfow',
'replicas': 1,
'resourceMap': {'cpu': '4',
'memory': '2048M'},
'resources': 'cpu=4,memory=2048M'}}},
'status': 'Accepted',
'uid': '7ad8205a-b3d0-485f-ad74-5496b038b382'}],
'success': True}
```
## Log Experiment
```python=
id = 'job_1589780188747_0001'
api_response = api_instance.get_log(id)
pprint(api_response)
```
### Output :point_down:
```bash=
{'attributes': {},
'code': 200,
'result': {'jobId': 'job_1589842062823_0001',
'logContent': [{'podLog': 'WARNING:tensorflow:From '
'/var/tf_mnist/mnist_with_summaries.py:39: '
'read_data_sets (from '
'tensorflow.contrib.learn.python.learn.datasets.mnist) '
'is deprecated and will be removed in a '
'future version.\n'
'Instructions for updating:\n'
'Please use alternatives such as '
'official/mnist/dataset.py from '
'tensorflow/models.\n'
'WARNING:tensorflow:From '
'/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:260: '
'maybe_download (from '
'tensorflow.contrib.learn.python.learn.datasets.base) '
'is deprecated and will be removed in a '
.........
```
## Delete Experiment
```python=
api_response = api_instance.delete_job(id)
pprint(api_response)
```
## Ping Experiment
```python=
api_response = api_instance.ping()
pprint(api_response)
```
### Output :point_down:
```bash=
("{'status': 'OK', 'code': 200, 'success': True, 'message': None, 'result': "
"'Pong', 'attributes': {}}")
```
###### tags: `Submarine` `Swagger`
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