def _examples_from_path_handler(self, request):
"""Returns JSON of the specified examples.
Args:
request: A request that should contain 'examples_path' and 'max_examples'.
Returns:
JSON of up to max_examlpes of the tf.train.Examples in the path.
"""
examples_count = int(request.args.get('max_examples'))
examples_path = request.args.get('examples_path')
try:
platform_utils.throw_if_file_access_not_allowed(examples_path,
self._logdir,
self._has_auth_group)
example_strings = platform_utils.example_protos_from_path(
examples_path, examples_count, parse_examples=False)
self.examples = [
tf.train.Example.FromString(ex) for ex in example_strings]
self.generate_sprite(example_strings)
json_examples = [
json_format.MessageToJson(example) for example in self.examples
]
self.updated_example_indices = set(range(len(json_examples)))
return http_util.Respond(
request,
{'examples': json_examples,
'sprite': True if self.sprite else False}, 'application/json')
except common_utils.InvalidUserInputError as e:
return http_util.Respond(request, {'error': e.message},
'application/json', code=400)
def _examples_from_path_handler(self, request):
"""Returns JSON of the specified examples.
Args:
request: A request that should contain 'examples_path' and 'max_examples'.
Returns:
JSON of up to max_examlpes of the examples in the path.
"""
examples_count = int(request.args.get("max_examples"))
examples_path = request.args.get("examples_path")
sampling_odds = float(request.args.get("sampling_odds"))
self.example_class = (tf.train.SequenceExample
if request.args.get("sequence_examples")
== "true" else tf.train.Example)
try:
platform_utils.throw_if_file_access_not_allowed(
examples_path, self._logdir, self._has_auth_group)
example_strings = platform_utils.example_protos_from_path(
examples_path,
examples_count,
parse_examples=False,
sampling_odds=sampling_odds,
example_class=self.example_class,
)
self.examples = [
self.example_class.FromString(ex) for ex in example_strings
]
self.generate_sprite(example_strings)
json_examples = [
json_format.MessageToJson(example) for example in self.examples
]
self.updated_example_indices = set(range(len(json_examples)))
return http_util.Respond(
request,
{
"examples": json_examples,
"sprite": True if self.sprite else False,
},
"application/json",
)
except common_utils.InvalidUserInputError as e:
return http_util.Respond(request, {"error": e.message},
"application/json",
code=400)
def _examples_from_path_handler(self, request):
"""Returns JSON of the specified examples.
Args:
request: A request that should contain 'examples_path' and 'max_examples'.
Returns:
JSON of up to max_examlpes of the examples in the path.
"""
examples_count = int(request.args.get('max_examples'))
examples_path = request.args.get('examples_path')
sampling_odds = float(request.args.get('sampling_odds'))
self.example_class = (tf.train.SequenceExample
if request.args.get('sequence_examples') == 'true'
else tf.train.Example)
try:
platform_utils.throw_if_file_access_not_allowed(examples_path,
self._logdir,
self._has_auth_group)
example_strings = platform_utils.example_protos_from_path(
examples_path, examples_count, parse_examples=False,
sampling_odds=sampling_odds, example_class=self.example_class)
self.examples = [
self.example_class.FromString(ex) for ex in example_strings]
self.generate_sprite(example_strings)
json_examples = [
json_format.MessageToJson(example) for example in self.examples
]
self.updated_example_indices = set(range(len(json_examples)))
return http_util.Respond(
request,
{'examples': json_examples,
'sprite': True if self.sprite else False}, 'application/json')
except common_utils.InvalidUserInputError as e:
return http_util.Respond(request, {'error': e.message},
'application/json', code=400)
