def info(job_name_or_id):
"""
Prints detailed info for the run
"""
try:
experiment = ExperimentClient().get(normalize_job_name(job_name_or_id))
except FloydException:
experiment = ExperimentClient().get(job_name_or_id)
task_instance_id = get_module_task_instance_id(experiment.task_instances)
task_instance = TaskInstanceClient().get(
task_instance_id) if task_instance_id else None
normalized_job_name = normalize_job_name(experiment.name)
table = [["Job name", normalized_job_name],
[
"Output name",
normalized_job_name + '/output' if task_instance else None
], ["Created", experiment.created_pretty],
["Status", experiment.state],
["Duration(s)", experiment.duration_rounded],
["Instance", experiment.instance_type_trimmed],
["Description", experiment.description]]
if task_instance and task_instance.mode in ['jupyter', 'serving']:
table.append(["Mode", task_instance.mode])
table.append(["Url", experiment.service_url])
if experiment.tensorboard_url:
table.append(["Tensorboard", experiment.tensorboard_url])
floyd_logger.info(tabulate(table))
def delete(names, yes):
"""
Delete project runs
"""
failures = False
for name in names:
try:
experiment = ExperimentClient().get(normalize_job_name(name))
except FloydException:
experiment = ExperimentClient().get(name)
if not experiment:
failures = True
continue
if not yes and not click.confirm("Delete Job: {}?".format(
experiment.name),
abort=False,
default=False):
floyd_logger.info("Job {}: Skipped.".format(experiment.name))
continue
if not ExperimentClient().delete(experiment.id):
failures = True
else:
floyd_logger.info("Job %s Deleted", experiment.name)
if failures:
sys.exit(1)
def clone(id):
"""
Download files from a job.
This will download the files that were originally uploaded at
the start of the job.
"""
try:
experiment = ExperimentClient().get(
normalize_job_name(id, use_config=False))
except FloydException:
experiment = ExperimentClient().get(id)
task_instance_id = get_module_task_instance_id(experiment.task_instances)
task_instance = TaskInstanceClient().get(
task_instance_id) if task_instance_id else None
if not task_instance:
sys.exit(
"Cannot clone this version of the job. Try a different version.")
module = ModuleClient().get(
task_instance.module_id) if task_instance else None
code_url = "{}/api/v1/resources/{}?content=true&download=true".format(
floyd.floyd_host, module.resource_id)
ExperimentClient().download_tar(url=code_url,
untar=True,
delete_after_untar=True)
def restart(ctx, job_name, data, open_notebook, env, message, gpu, cpu, gpup,
cpup, command):
"""
Restart a given job as a new job.
"""
parameters = {}
expt_client = ExperimentClient()
try:
job = expt_client.get(normalize_job_name(job_name))
except FloydException:
job = expt_client.get(job_name)
if gpup:
instance_type = G1P_INSTANCE_TYPE
elif cpup:
instance_type = C1P_INSTANCE_TYPE
elif gpu:
instance_type = G1_INSTANCE_TYPE
elif cpu:
instance_type = C1_INSTANCE_TYPE
else:
instance_type = job.instance_type
if instance_type is not None:
parameters['instance_type'] = instance_type
else:
instance_type = job.instance_type
if env is not None:
if not validate_env(env, instance_type):
sys.exit(1)
parameters['env'] = env
success, data_ids = process_data_ids(data)
if not success:
sys.exit(1)
if message:
parameters['message'] = message
if command:
parameters['command'] = ' '.join(command)
floyd_logger.info('Restarting job %s...', job_name)
new_job_info = expt_client.restart(job.id, parameters=parameters)
if not new_job_info:
floyd_logger.error("Failed to restart job")
sys.exit(1)
floyd_logger.info('New job created:')
table_output = [["JOB NAME"], [new_job_info['name']]]
floyd_logger.info('\n' + tabulate(table_output, headers="firstrow") + '\n')
show_new_job_info(expt_client, new_job_info['name'], new_job_info,
job.mode, open_notebook)
def print_experiments(experiments):
"""
Prints expt details in a table. Includes urls and mode parameters
"""
headers = ["JOB NAME", "CREATED", "STATUS", "DURATION(s)", "INSTANCE", "DESCRIPTION"]
expt_list = []
for experiment in experiments:
expt_list.append([normalize_job_name(experiment.name),
experiment.created_pretty, experiment.state,
experiment.duration_rounded,
experiment.instance_type_trimmed, experiment.description])
floyd_logger.info(tabulate(expt_list, headers=headers))
def get_output(id, path, untar, delete_after_untar):
"""
- Download all files in a dataset or from a Job output
Eg: alice/projects/mnist/1/files, alice/projects/mnist/1/output or
alice/dataset/mnist-data/1/
Using /output will download the files that are saved at the end of the job.
Note: This will download the files that are saved at
the end of the job.
- Download a directory from a dataset or from Job output
Specify the path to a directory and download all its files and
subdirectories.
Eg: --path models/checkpoint1
"""
data_source = get_data_object(id, use_data_config=False)
if not data_source:
if "output" in id:
floyd_logger.info(
"Note: You cannot clone the output of a running job. You need "
"to wait for it to finish.")
sys.exit()
if path:
# Download a directory from Dataset or Files
# Get the type of data resource from the id
# (foo/projects/bar/ or foo/datasets/bar/)
if "/datasets/" in id:
resource_type = "data"
resource_id = data_source.id
else:
resource_type = "files"
try:
experiment = ExperimentClient().get(
normalize_job_name(id, use_config=False))
except FloydException:
experiment = ExperimentClient().get(id)
resource_id = experiment.id
data_url = "{}/api/v1/download/artifacts/{}/{}?is_dir=true&path={}" \
.format(floyd.floyd_host, resource_type, resource_id, path)
else:
# Download the full Dataset
data_url = "{}/api/v1/resources/{}?content=true&download=true".format(
floyd.floyd_host, data_source.resource_id)
DataClient().download_tar(
url=data_url,
untar=untar,
delete_after_untar=untar and delete_after_untar,
)
def output(id, url):
"""
View the files from a job.
"""
try:
experiment = ExperimentClient().get(normalize_job_name(id))
except FloydException:
experiment = ExperimentClient().get(id)
output_dir_url = "%s/%s/files" % (floyd.floyd_web_host, experiment.name)
if url:
floyd_logger.info(output_dir_url)
else:
floyd_logger.info("Opening output path in your browser ...")
webbrowser.open(output_dir_url)
def status(id):
"""
View status of all or specific run.
It can also list status of all the runs in the project.
"""
if id:
try:
experiment = ExperimentClient().get(normalize_job_name(id))
except FloydException:
experiment = ExperimentClient().get(id)
print_experiments([experiment])
else:
experiments = ExperimentClient().get_all()
print_experiments(experiments)
def output(id, url):
"""
Shows the output url of the run.
By default opens the output page in your default browser.
"""
try:
experiment = ExperimentClient().get(normalize_job_name(id))
except FloydException:
experiment = ExperimentClient().get(id)
output_dir_url = "%s/%s/output" % (floyd.floyd_web_host, experiment.name)
if url:
floyd_logger.info(output_dir_url)
else:
floyd_logger.info("Opening output path in your browser ...")
webbrowser.open(output_dir_url)
def status(id):
"""
View status of all jobs in a project.
The command also accepts a specific job name.
"""
if id:
try:
experiment = ExperimentClient().get(normalize_job_name(id))
except FloydException:
experiment = ExperimentClient().get(id)
print_experiments([experiment])
else:
experiments = ExperimentClient().get_all()
print_experiments(experiments)
def get_log_id(job_id):
log_msg_printed = False
while True:
try:
experiment = ExperimentClient().get(normalize_job_name(job_id))
except FloydException:
experiment = ExperimentClient().get(job_id)
instance_log_id = experiment.instance_log_id
if instance_log_id:
break
elif not log_msg_printed:
floyd_logger.info("Waiting for logs ...\n")
log_msg_printed = True
sleep(1)
return instance_log_id
def logs(id, url, tail, follow, sleep_duration=1):
"""
Print the logs of the run.
"""
tail = tail or follow
log_msg_printed = False
while True:
try:
experiment = ExperimentClient().get(normalize_job_name(id))
except FloydException:
experiment = ExperimentClient().get(id)
instance_log_id = experiment.instance_log_id
if instance_log_id:
break
elif not log_msg_printed:
floyd_logger.info("Waiting for logs ...\n")
log_msg_printed = True
sleep(1)
log_url = "{}/api/v1/resources/{}?content=true".format(
floyd.floyd_host, instance_log_id)
if url:
floyd_logger.info(log_url)
return
if tail:
floyd_logger.info("Launching job ...")
current_shell_output = ""
while True:
# Get the logs in a loop and log the new lines
log_file_contents = ResourceClient().get_content(instance_log_id)
print_output = log_file_contents[len(current_shell_output):]
if len(print_output.strip()):
floyd_logger.info(print_output)
current_shell_output = log_file_contents
sleep(sleep_duration)
else:
log_file_contents = ResourceClient().get_content(instance_log_id)
if len(log_file_contents.strip()):
floyd_logger.info(log_file_contents)
else:
floyd_logger.info("Launching job now. Try after a few seconds.")
def stop(id):
"""
Stop a run before it can finish.
"""
try:
experiment = ExperimentClient().get(normalize_job_name(id))
except FloydException:
experiment = ExperimentClient().get(id)
if experiment.state not in ["queued", "running"]:
floyd_logger.info("Job in {} state cannot be stopped".format(
experiment.state))
return
if ExperimentClient().stop(experiment.id):
floyd_logger.info(
"Experiment shutdown request submitted. Check status to confirm shutdown"
)
else:
floyd_logger.error("Failed to stop job")
def clone(id, path):
"""
- Download all files from a job
Eg: alice/projects/mnist/1/
Note: This will download the files that were originally uploaded at
the start of the job.
- Download files in a specific path from a job
Specify the path to a directory and download all its files and subdirectories.
Eg: --path models/checkpoint1
"""
try:
experiment = ExperimentClient().get(
normalize_job_name(id, use_config=False))
except FloydException:
experiment = ExperimentClient().get(id)
task_instance_id = get_module_task_instance_id(experiment.task_instances)
task_instance = TaskInstanceClient().get(
task_instance_id) if task_instance_id else None
if not task_instance:
sys.exit(
"Cannot clone this version of the job. Try a different version.")
module = ModuleClient().get(
task_instance.module_id) if task_instance else None
if path:
# Download a directory from Code
code_url = "{}/api/v1/download/artifacts/code/{}?is_dir=true&path={}".format(
floyd.floyd_host, experiment.id, path)
else:
# Download the full Code
code_url = "{}/api/v1/resources/{}?content=true&download=true".format(
floyd.floyd_host, module.resource_id)
ExperimentClient().download_tar(url=code_url,
untar=True,
delete_after_untar=True)
def stop(id):
"""
Stop a running job.
"""
try:
experiment = ExperimentClient().get(normalize_job_name(id))
except FloydException:
experiment = ExperimentClient().get(id)
if experiment.state not in ["queued", "queue_scheduled", "running"]:
floyd_logger.info("Job in {} state cannot be stopped".format(
experiment.state))
sys.exit(1)
if not ExperimentClient().stop(experiment.id):
floyd_logger.error("Failed to stop job")
sys.exit(1)
floyd_logger.info(
"Experiment shutdown request submitted. Check status to confirm shutdown"
)
def test_normalize_job_name(self, _0, _1, _2):
from floyd.cli.utils import normalize_job_name
# Make sure that the current_username and current_experiment_name are
# honored:
assert normalize_job_name('1') == 'pete/projects/test_proj/1'
assert normalize_job_name('mnist/3') == 'pete/projects/mnist/3'
assert normalize_job_name('foo/mnist/3') == 'foo/projects/mnist/3'
# current_username and current_experiment_name are overridden with the
# second and third args if passed
assert normalize_job_name('bar/1', 'yoyo') == 'yoyo/projects/bar/1'
assert normalize_job_name('1', 'yoyo', 'ma') == 'yoyo/projects/ma/1'
# Full job names are returned unchanged
assert normalize_job_name('foo/projects/bar/1') == 'foo/projects/bar/1'
# If no job number is passed, get_last_job_name is used
assert normalize_job_name('foo/projects/bar') == 'TEST'
def logs(id, url, tail, sleep_duration=1):
"""
Print the logs of the run.
"""
try:
experiment = ExperimentClient().get(normalize_job_name(id))
except FloydException:
experiment = ExperimentClient().get(id)
if experiment.state == 'queued':
floyd_logger.info("Job is currently in a queue")
return
instance_log_id = experiment.instance_log_id
if not instance_log_id:
floyd_logger.info("Job not started yet, no log to show.")
sys.exit(1)
log_url = "{}/api/v1/resources/{}?content=true".format(
floyd.floyd_host, instance_log_id)
if url:
floyd_logger.info(log_url)
return
if tail:
floyd_logger.info("Launching job ...")
current_shell_output = ""
while True:
# Get the logs in a loop and log the new lines
log_file_contents = ResourceClient().get_content(instance_log_id)
print_output = log_file_contents[len(current_shell_output):]
if len(print_output.strip()):
floyd_logger.info(print_output)
current_shell_output = log_file_contents
sleep(sleep_duration)
else:
log_file_contents = ResourceClient().get_content(instance_log_id)
if len(log_file_contents.strip()):
floyd_logger.info(log_file_contents)
else:
floyd_logger.info("Launching job now. Try after a few seconds.")
def test_normalize_job_name(self):
from floyd.cli.utils import normalize_job_name
assert normalize_job_name('foo/bar/1') == 'foo/projects/bar/1'
assert normalize_job_name('foo/projects/bar/1') == 'foo/projects/bar/1'
def run(ctx, gpu, env, message, data, mode, open, tensorboard, gpup, cpup,
command):
"""
Run a command on Floyd. Floyd will upload contents of the
current directory and run your command remotely.
This command will generate a run id for reference.
"""
experiment_config = ExperimentConfigManager.get_config()
if not ProjectClient().exists(experiment_config.family_id):
floyd_logger.error(
'Invalid project id, please run '
'"floyd init PROJECT_NAME" before scheduling a job.')
return
access_token = AuthConfigManager.get_access_token()
experiment_name = "{}/{}".format(access_token.username,
experiment_config.name)
# Create module
if len(data) > 5:
floyd_logger.error("Cannot attach more than 5 datasets to an job")
return
# Get the data entity from the server to:
# 1. Confirm that the data id or uri exists and has the right permissions
# 2. If uri is used, get the id of the dataset
data_ids = []
for data_name_or_id in data:
path = None
if ':' in data_name_or_id:
data_name_or_id, path = data_name_or_id.split(':')
data_obj = DataClient().get(data_name_or_id)
if not data_obj:
floyd_logger.error(
"Data not found for name or id: {}".format(data_name_or_id))
return
data_ids.append(
"{}:{}".format(data_obj.id, path) if path else data_obj.id)
default_name = 'input' if len(data_ids) <= 1 else None
module_inputs = [{
'name': get_data_name(data_str, default_name),
'type': 'dir'
} for data_str in data_ids]
if gpup:
instance_type = G1P_INSTANCE_TYPE
elif cpup:
instance_type = C1P_INSTANCE_TYPE
elif gpu:
instance_type = G1_INSTANCE_TYPE
else:
instance_type = C1_INSTANCE_TYPE
arch = INSTANCE_ARCH_MAP[instance_type]
env_map = EnvClient().get_all()
envs = env_map.get(arch)
if envs:
if env not in envs:
floyd_logger.error(
"{} is not in the list of supported environments: {}".format(
env, ', '.join(envs.keys())))
return
else:
floyd_logger.error("{} is not a supported architecture".format(arch))
return
command_str = ' '.join(command)
module = Module(name=experiment_name,
description=message or '',
command=command_str,
mode=get_mode_parameter(mode),
enable_tensorboard=tensorboard,
family_id=experiment_config.family_id,
inputs=module_inputs,
env=env,
arch=arch)
from floyd.exceptions import BadRequestException
try:
module_id = ModuleClient().create(module)
except BadRequestException as e:
if 'Project not found, ID' in e.message:
floyd_logger.error(
'ERROR: Please run "floyd init PROJECT_NAME" before scheduling a job.'
)
else:
floyd_logger.error('ERROR: %s', e.message)
sys.exit(1)
floyd_logger.debug("Created module with id : {}".format(module_id))
# Create experiment request
# Get the actual command entered in the command line
full_command = get_command_line(gpu, env, message, data, mode, open,
tensorboard, command)
experiment_request = ExperimentRequest(
name=experiment_name,
description=message,
full_command=full_command,
module_id=module_id,
data_ids=data_ids,
family_id=experiment_config.family_id,
instance_type=instance_type)
expt_cli = ExperimentClient()
expt_info = expt_cli.create(experiment_request)
floyd_logger.debug("Created job : %s", expt_info['id'])
job_name = normalize_job_name(expt_info['name'])
floyd_logger.info("")
table_output = [["JOB NAME"], [job_name]]
floyd_logger.info(tabulate(table_output, headers="firstrow"))
floyd_logger.info("")
if mode in ['jupyter', 'serve']:
while True:
# Wait for the experiment / task instances to become available
try:
experiment = expt_cli.get(expt_info['id'])
if experiment.task_instances:
break
except Exception:
floyd_logger.debug("Job not available yet: %s",
expt_info['id'])
floyd_logger.debug("Job not available yet: %s", expt_info['id'])
sleep(3)
continue
# Print the path to jupyter notebook
if mode == 'jupyter':
jupyter_url = experiment.service_url
print(
"Setting up your instance and waiting for Jupyter notebook to become available ...",
end='')
if wait_for_url(jupyter_url,
sleep_duration_seconds=2,
iterations=900):
sleep(3) # HACK: sleep extra 3 seconds for traffic route sync
floyd_logger.info(
"\nPath to jupyter notebook: {}".format(jupyter_url))
if open:
webbrowser.open(jupyter_url)
else:
floyd_logger.info("\nPath to jupyter notebook: %s",
jupyter_url)
floyd_logger.info(
"Notebook is still loading. View logs to track progress")
floyd_logger.info(" floyd logs %s", job_name)
# Print the path to serving endpoint
if mode == 'serve':
floyd_logger.info("Path to service endpoint: {}".format(
experiment.service_url))
if experiment.timeout_seconds < 4 * 60 * 60:
floyd_logger.info(
"\nYour job timeout is currently set to {} seconds".format(
experiment.timeout_seconds))
floyd_logger.info(
"This is because you are in a trial account. Paid users will have longer timeouts. "
"See https://www.floydhub.com/pricing for details")
else:
floyd_logger.info("To view logs enter:")
floyd_logger.info(" floyd logs %s", job_name)
def restart(ctx, job_name, data, open_notebook, env, message, gpu, cpu, gpup,
cpup, command):
"""
Restart a given job as a new job.
"""
# Error early if more than one --env is passed. Then get the first/only
# --env out of the list so all other operations work normally (they don't
# expect an iterable). For details on this approach, see the comment above
# the --env click option
if len(env) > 1:
floyd_logger.error(
"You passed more than one environment: {}. Please specify a single environment."
.format(env))
sys.exit(1)
env = env[0]
parameters = {}
expt_client = ExperimentClient()
try:
job = expt_client.get(normalize_job_name(job_name))
except FloydException:
job = expt_client.get(job_name)
if gpup:
instance_type = G1P_INSTANCE_TYPE
elif cpup:
instance_type = C1P_INSTANCE_TYPE
elif gpu:
instance_type = G1_INSTANCE_TYPE
elif cpu:
instance_type = C1_INSTANCE_TYPE
else:
instance_type = job.instance_type
if instance_type is not None:
parameters['instance_type'] = instance_type
else:
instance_type = job.instance_type
if env is not None:
arch = INSTANCE_ARCH_MAP[instance_type]
if not validate_env(env, arch):
sys.exit(1)
parameters['env'] = env
success, data_ids = process_data_ids(data)
if not success:
sys.exit(1)
if data_ids:
parameters['data_ids'] = data_ids
if message:
parameters['description'] = message
if command:
parameters['command'] = ' '.join(command)
floyd_logger.info('Restarting job %s...', job_name)
new_job_info = expt_client.restart(job.id, parameters=parameters)
if not new_job_info:
floyd_logger.error("Failed to restart job")
sys.exit(1)
show_new_job_info(expt_client, new_job_info['name'], new_job_info,
job.mode, open_notebook)
def run(ctx, gpu, env, message, data, mode, open, tensorboard, gpup, cpup,
command):
"""
Run a command on Floyd. Floyd will upload contents of the
current directory and run your command remotely.
This command will generate a run id for reference.
"""
experiment_config = ExperimentConfigManager.get_config()
if not ProjectClient().exists(experiment_config.family_id):
floyd_logger.error(
'Invalid project id, please run '
'"floyd init PROJECT_NAME" before scheduling a job.')
sys.exit(1)
access_token = AuthConfigManager.get_access_token()
experiment_name = "{}/{}".format(access_token.username,
experiment_config.name)
success, data_ids = process_data_ids(data)
if not success:
sys.exit(2)
# Create module
default_name = 'input' if len(data_ids) <= 1 else None
module_inputs = [{
'name': get_data_name(data_str, default_name),
'type': 'dir'
} for data_str in data_ids]
if gpup:
instance_type = G1P_INSTANCE_TYPE
elif cpup:
instance_type = C1P_INSTANCE_TYPE
elif gpu:
instance_type = G1_INSTANCE_TYPE
else:
instance_type = C1_INSTANCE_TYPE
if not validate_env(env, instance_type):
sys.exit(3)
command_str = ' '.join(command)
if command_str and mode in ('jupyter', 'serve'):
floyd_logger.error(
'Command argument "%s" cannot be used with mode: %s.\nSee http://docs.floydhub.com/guides/run_a_job/#mode for more information about run modes.',
command_str, mode)
sys.exit(3)
module = Module(name=experiment_name,
description=message or '',
command=command_str,
mode=get_mode_parameter(mode),
enable_tensorboard=tensorboard,
family_id=experiment_config.family_id,
inputs=module_inputs,
env=env,
arch=INSTANCE_ARCH_MAP[instance_type])
try:
module_id = ModuleClient().create(module)
except BadRequestException as e:
if 'Project not found, ID' in e.message:
floyd_logger.error(
'ERROR: Please run "floyd init PROJECT_NAME" before scheduling a job.'
)
else:
floyd_logger.error('ERROR: %s', e.message)
sys.exit(4)
floyd_logger.debug("Created module with id : %s", module_id)
# Create experiment request
# Get the actual command entered in the command line
full_command = get_command_line(instance_type, env, message, data, mode,
open, tensorboard, command_str)
experiment_request = ExperimentRequest(
name=experiment_name,
description=message,
full_command=full_command,
module_id=module_id,
data_ids=data_ids,
family_id=experiment_config.family_id,
instance_type=instance_type)
expt_client = ExperimentClient()
expt_info = expt_client.create(experiment_request)
floyd_logger.debug("Created job : %s", expt_info['id'])
job_name = normalize_job_name(expt_info['name'])
floyd_logger.info("")
table_output = [["JOB NAME"], [job_name]]
floyd_logger.info(tabulate(table_output, headers="firstrow"))
floyd_logger.info("")
show_new_job_info(expt_client, job_name, expt_info, mode)
