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"""Registry mechanism for "registering" classes/functions for general use.
This is typically used with a decorator that calls Register for adding
a class or function to a registry.
"""
import traceback
from tensorflow.python.platform import logging
# Registry mechanism below is based on mapreduce.python.mrpython.Register.
_LOCATION_TAG = "location"
_TYPE_TAG = "type"
class Registry(object):
"""Provides a registry for saving objects."""
def __init__(self, name):
"""Creates a new registry."""
self._name = name
self._registry = dict()
def register(self, candidate, name=None):
"""Registers a Python object "candidate" for the given "name".
Args:
candidate: the candidate object to add to the registry.
name: an optional string specifying the registry key for the candidate.
If None, candidate.__name__ will be used.
Raises:
KeyError: If same name is used twice.
"""
if not name:
name = candidate.__name__
if name in self._registry:
(filename, line_number, function_name, _) = (
self._registry[name][_LOCATION_TAG])
raise KeyError("Registering two %s with name '%s' !"
"(Previous registration was in %s %s:%d)" %
(self._name, name, function_name, filename, line_number))
logging.vlog(1, "Registering %s (%s) in %s.", name, candidate, self._name)
# stack trace is [this_function, Register(), user_function,...]
# so the user function is #2.
stack = traceback.extract_stack()
self._registry[name] = {_TYPE_TAG: candidate, _LOCATION_TAG: stack[2]}
def lookup(self, name):
"""Looks up "name".
Args:
name: a string specifying the registry key for the candidate.
Returns:
Registered object if found
Raises:
LookupError: if "name" has not been registered.
"""
if name in self._registry:
return self._registry[name][_TYPE_TAG]
else:
raise LookupError(
"%s registry has no entry for: %s" % (self._name, name))
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