def get(self, experiment_name, commit_id, file_path):
project = Project()
if not project.exists():
return make_response(jsonify({}), 404)
objects_dir_path = os.path.join('/store', experiment_name, commit_id,
'objects')
file_path = os.path.join(*file_path.split('+')) + '.log'
dist_abs_path = os.path.join(objects_dir_path, file_path)
if not os.path.isfile(dist_abs_path):
return make_response(jsonify({}), 404)
# Read file specified by found path
try:
obj_data_content = read_artifact_log(dist_abs_path, 500)
comp_content = list(map(lambda x: json.loads(x), obj_data_content))
return comp_content
except:
return []
def get(self, experiment_name, commit_id):
project = Project()
if not project.exists():
return make_response(jsonify({}), 404)
dir_path = os.path.join('/store', experiment_name)
# Check if experiment exists
if not os.path.isdir(dir_path):
return jsonify({
'init': True,
'branch_init': False,
})
# Get commits
commits = get_branch_commits(dir_path)
# Get specified commit
commit = None
if commit_id == 'latest':
for commit_item, config in commits.items():
if commit is None or config['date'] > commit['date']:
commit = config
else:
commit = commits.get(commit_id)
if not commit:
return jsonify({
'init': True,
'branch_init': True,
'branch_empty': True,
})
if 'process' in commit.keys():
if not commit['process']['finish']:
if commit['process'].get('start_date'):
duration = time.time() - commit['process']['start_date']
commit['process']['time'] = duration
else:
commit['process']['time'] = None
elif commit['process'].get('start_date') is not None \
and commit['process'].get('finish_date') is not None:
commit['process']['time'] = commit['process']['finish_date'] \
- commit['process']['start_date']
objects_dir_path = os.path.join(dir_path, commit['hash'], 'objects')
meta_file_path = os.path.join(objects_dir_path, 'meta.json')
# Read meta file content
try:
with open(meta_file_path, 'r+') as meta_file:
meta_file_content = json.loads(meta_file.read())
except:
meta_file_content = {}
# Get all artifacts(objects) listed in the meta file
metric_objects = []
model_objects = []
dir_objects = []
map_objects = []
stats_objects = []
# Limit distributions
for obj_key, obj in meta_file_content.items():
if obj['type'] == 'dir':
dir_objects.append({
'name': obj['name'],
'cat': obj['cat'],
'data': obj['data'],
'data_path': obj['data_path'],
})
elif obj['type'] == 'models':
model_file_path = os.path.join(objects_dir_path, 'models',
'{}.aim'.format(obj['name']))
model_file_size = os.stat(model_file_path).st_size
model_objects.append({
'name': obj['name'],
'data': obj['data'],
'size': model_file_size,
})
elif (obj['type'] == 'metrics'
and obj['data_path'] != '__AIMRECORDS__') or \
('map' in obj['type'] or obj['type'] == 'map'):
# obj['type'] == 'distribution':
# Get object's data file path
obj_data_file_path = os.path.join(objects_dir_path,
obj['data_path'], obj_key)
# Incompatible version
if obj_key.endswith('.json'):
return make_response(jsonify({}), 501)
if obj['type'] == 'metrics':
steps = 75
run = project.repo.select_run_metrics(experiment_name,
commit['hash'],
obj['name'])
if run is not None and run.metrics.get(obj['name']) \
and len(run.metrics[obj['name']].traces):
metric = run.metrics[obj['name']]
run.open_storage()
metric.open_artifact()
traces = []
for trace in metric.traces:
num = trace.num_records
step = num // steps or 1
for r in trace.read_records(slice(0, num, step)):
base, metric_record = MetricRecord.deserialize(r)
trace.append((
base.step, # 0 => step
metric_record.value, # 1 => value
))
traces.append(trace.to_dict())
metric.close_artifact()
run.close_storage()
else:
traces = []
metric_objects.append({
'name': obj['name'],
'mode': 'plot',
'traces': traces,
})
elif 'map' in obj['type'] or obj['type'] == 'map':
try:
params_str = read_artifact_log(obj_data_file_path, 1)
if params_str:
map_objects.append({
'name':
obj['name'],
'data':
json.loads(params_str[0]),
'nested':
'nested_map' in obj['type']
})
except:
pass
# Return found objects
return jsonify({
'init': True,
'branch_init': True,
'branch_empty': False,
'commit': commit,
'commits': commits,
'metrics': metric_objects,
'models': model_objects,
'dirs': dir_objects,
'maps': map_objects,
'stats': stats_objects,
})
def get(self, experiment_name, commit_id):
project = Project()
if not project.exists():
return make_response(jsonify({}), 404)
dir_path = os.path.join('/store', experiment_name)
# Check if experiment exists
if not os.path.isdir(dir_path):
return jsonify({
'init': True,
'branch_init': False,
})
# Get commits
commits = get_branch_commits(dir_path)
# Get specified commit
commit = None
if commit_id == 'latest':
for commit_item, config in commits.items():
if commit is None or config['date'] > commit['date']:
commit = config
elif commit_id == 'index':
commit = {
'hash': 'index',
'date': time.time(),
'index': True,
}
else:
commit = commits.get(commit_id)
if not commit:
return make_response(jsonify({}), 404)
objects_dir_path = os.path.join(dir_path, commit['hash'], 'objects')
meta_file_path = os.path.join(objects_dir_path, 'meta.json')
# Read meta file content
try:
with open(meta_file_path, 'r+') as meta_file:
meta_file_content = json.loads(meta_file.read())
except:
meta_file_content = {}
if commit['hash'] == 'index' and len(meta_file_content) == 0:
return jsonify({
'init': True,
'branch_init': True,
'index_empty': True,
'commit': commit,
'commits': commits,
})
# Get all artifacts(objects) listed in the meta file
metric_objects = []
model_objects = []
dir_objects = []
map_objects = []
stats_objects = []
records_storage = Storage(objects_dir_path, 'r')
# Limit distributions
for obj_key, obj in meta_file_content.items():
if obj['type'] == 'dir':
dir_objects.append({
'name': obj['name'],
'cat': obj['cat'],
'data': obj['data'],
'data_path': obj['data_path'],
})
elif obj['type'] == 'models':
model_file_path = os.path.join(objects_dir_path, 'models',
'{}.aim'.format(obj['name']))
model_file_size = os.stat(model_file_path).st_size
model_objects.append({
'name': obj['name'],
'data': obj['data'],
'size': model_file_size,
})
elif (obj['type'] == 'metrics' and obj['data_path'] != '__AIMRECORDS__') or \
obj['type'] == 'map':
# obj['type'] == 'distribution':
# Get object's data file path
obj_data_file_path = os.path.join(objects_dir_path,
obj['data_path'], obj_key)
# Incompatible version
if obj_key.endswith('.json'):
return make_response(jsonify({}), 501)
if obj['type'] == 'metrics':
comp_content = []
if obj['data_path'] == '__AIMRECORDS__':
format = 'aimrecords'
records_storage.open(obj['name'],
uncommitted_bucket_visible=True)
for r in records_storage.read_records(
obj['name'], slice(-1000, None)):
base, metric_record = Metric.deserialize(r)
comp_content.append(metric_record.value)
records_storage.close(obj['name'])
else:
format = 'json_log'
obj_data_content = read_artifact_log(
obj_data_file_path, 1000)
comp_content = list(
map(lambda x: float(x), obj_data_content))
metric_objects.append({
'name': obj['name'],
'mode': 'plot',
'data': comp_content,
'format': format,
})
elif obj['type'] == 'map':
try:
params_str = read_artifact_log(obj_data_file_path, 1)
if params_str:
map_objects.append({
'name': obj['name'],
'data': json.loads(params_str[0]),
})
except:
pass
records_storage.close()
# Return found objects
return jsonify({
'init': True,
'branch_init': True,
'commit': commit,
'commits': commits,
'metrics': metric_objects,
'models': model_objects,
'dirs': dir_objects,
'maps': map_objects,
'stats': stats_objects,
})