def Initialize(credentials=None, opt_url=None):
"""Initialize the EE library.
If this hasn't been called by the time any object constructor is used,
it will be called then. If this is called a second time with a different
URL, this doesn't do an un-initialization of e.g.: the previously loaded
Algorithms, but will overwrite them and let point at alternate servers.
Args:
credentials: OAuth2 credentials.
opt_url: The base url for the EarthEngine REST API to connect to.
"""
data.initialize(credentials, (opt_url + '/api' if opt_url else None),
opt_url)
# Initialize the dynamically loaded functions on the objects that want them.
ApiFunction.initialize()
Element.initialize()
Image.initialize()
Feature.initialize()
Collection.initialize()
ImageCollection.initialize()
FeatureCollection.initialize()
Filter.initialize()
Geometry.initialize()
List.initialize()
Number.initialize()
String.initialize()
Date.initialize()
Dictionary.initialize()
_InitializeGeneratedClasses()
_InitializeUnboundMethods()
def Initialize(credentials=None, opt_url=None):
"""Initialize the EE library.
If this hasn't been called by the time any object constructor is used,
it will be called then. If this is called a second time with a different
URL, this doesn't do an un-initialization of e.g.: the previously loaded
Algorithms, but will overwrite them and let point at alternate servers.
Args:
credentials: OAuth2 credentials.
opt_url: The base url for the EarthEngine REST API to connect to.
"""
data.initialize(credentials, (opt_url + '/api' if opt_url else None), opt_url)
# Initialize the dynamically loaded functions on the objects that want them.
ApiFunction.initialize()
Element.initialize()
Image.initialize()
Feature.initialize()
Collection.initialize()
ImageCollection.initialize()
FeatureCollection.initialize()
Filter.initialize()
Geometry.initialize()
List.initialize()
Number.initialize()
String.initialize()
Date.initialize()
Dictionary.initialize()
_InitializeGeneratedClasses()
_InitializeUnboundMethods()
def _MakeClass(name):
"""Generates a dynamic API class for a given name."""
def init(self, *args):
"""Initializer for dynamically created classes.
Args:
self: The instance of this class. Listed to make the linter hush.
*args: Either a ComputedObject to be promoted to this type, or
arguments to an algorithm with the same name as this class.
Returns:
The new class.
"""
if isinstance(args[0], ComputedObject) and len(args) == 1:
result = args[0]
else:
result = ApiFunction.call_(name, *args)
ComputedObject.__init__(self, result.func, result.args)
properties = {'__init__': init, 'name': lambda self: name}
new_class = type(str(name), (ComputedObject,), properties)
ApiFunction.importApi(new_class, name, name)
return new_class
def Initialize(credentials="persistent", opt_url=None):
"""Initialize the EE library.
If this hasn't been called by the time any object constructor is used,
it will be called then. If this is called a second time with a different
URL, this doesn't do an un-initialization of e.g.: the previously loaded
Algorithms, but will overwrite them and let point at alternate servers.
Args:
credentials: OAuth2 credentials. 'persistent' (default) means use
credentials already stored in the filesystem, or raise an explanatory
exception guiding the user to create those credentials.
opt_url: The base url for the EarthEngine REST API to connect to.
"""
if credentials == "persistent":
credentials = _GetPersistentCredentials()
data.initialize(credentials, (opt_url + "/api" if opt_url else None), opt_url)
# Initialize the dynamically loaded functions on the objects that want them.
ApiFunction.initialize()
Element.initialize()
Image.initialize()
Feature.initialize()
Collection.initialize()
ImageCollection.initialize()
FeatureCollection.initialize()
Filter.initialize()
Geometry.initialize()
List.initialize()
Number.initialize()
String.initialize()
Date.initialize()
Dictionary.initialize()
Terrain.initialize()
_InitializeGeneratedClasses()
_InitializeUnboundMethods()
def _MakeClass(name):
"""Generates a dynamic API class for a given name."""
def init(self, *args):
"""Initializer for dynamically created classes.
Args:
self: The instance of this class. Listed to make the linter hush.
*args: Either a ComputedObject to be promoted to this type, or
arguments to an algorithm with the same name as this class.
Returns:
The new class.
"""
klass = globals()[name]
onlyOneArg = (len(args) == 1)
# Are we trying to cast something that's already of the right class?
if onlyOneArg and isinstance(args[0], klass):
result = args[0]
else:
# Decide whether to call a server-side constructor or just do a
# client-side cast.
ctor = ApiFunction.lookupInternal(name)
firstArgIsPrimitive = not isinstance(args[0], ComputedObject)
shouldUseConstructor = False
if ctor:
if not onlyOneArg:
# Can't client-cast multiple arguments.
shouldUseConstructor = True
elif firstArgIsPrimitive:
# Can't cast a primitive.
shouldUseConstructor = True
elif args[0].func != ctor:
# We haven't already called the constructor on this object.
shouldUseConstructor = True
# Apply our decision.
if shouldUseConstructor:
# Call ctor manually to avoid having promote() called on the output.
ComputedObject.__init__(self, ctor,
ctor.promoteArgs(ctor.nameArgs(args)))
else:
# Just cast and hope for the best.
if not onlyOneArg:
# We don't know what to do with multiple args.
raise EEException('Too many arguments for ee.%s(): %s' %
(name, args))
elif firstArgIsPrimitive:
# Can't cast a primitive.
raise EEException(
'Invalid argument for ee.%s(): %s. Must be a ComputedObject.'
% (name, args))
else:
result = args[0]
ComputedObject.__init__(self, result.func, result.args,
result.varName)
properties = {'__init__': init, 'name': lambda self: name}
new_class = type(str(name), (ComputedObject, ), properties)
ApiFunction.importApi(new_class, name, name)
return new_class
def _MakeClass(name):
"""Generates a dynamic API class for a given name."""
def init(self, *args):
"""Initializer for dynamically created classes.
Args:
self: The instance of this class. Listed to make the linter hush.
*args: Either a ComputedObject to be promoted to this type, or
arguments to an algorithm with the same name as this class.
Returns:
The new class.
"""
klass = globals()[name]
onlyOneArg = (len(args) == 1)
# Are we trying to cast something that's already of the right class?
if onlyOneArg and isinstance(args[0], klass):
result = args[0]
else:
# Decide whether to call a server-side constructor or just do a
# client-side cast.
ctor = ApiFunction.lookupInternal(name)
firstArgIsPrimitive = not isinstance(args[0], ComputedObject)
shouldUseConstructor = False
if ctor:
if not onlyOneArg:
# Can't client-cast multiple arguments.
shouldUseConstructor = True
elif firstArgIsPrimitive:
# Can't cast a primitive.
shouldUseConstructor = True
elif args[0].func != ctor:
# We haven't already called the constructor on this object.
shouldUseConstructor = True
# Apply our decision.
if shouldUseConstructor:
# Call ctor manually to avoid having promote() called on the output.
ComputedObject.__init__(self, ctor, ctor.promoteArgs(ctor.nameArgs(args)))
else:
# Just cast and hope for the best.
if not onlyOneArg:
# We don't know what to do with multiple args.
raise EEException(
'Too many arguments for ee.%s(): %s' % (name, args))
elif firstArgIsPrimitive:
# Can't cast a primitive.
raise EEException(
'Invalid argument for ee.%s(): %s. Must be a ComputedObject.' %
(name, args))
else:
result = args[0]
ComputedObject.__init__(self, result.func, result.args, result.varName)
properties = {'__init__': init, 'name': lambda self: name}
new_class = type(str(name), (ComputedObject,), properties)
ApiFunction.importApi(new_class, name, name)
return new_class
def _ResetGeneratedClasses():
"""Remove the dynamic classes."""
global _generatedClasses
for name in _generatedClasses:
ApiFunction.clearApi(globals()[name])
del globals()[name]
_generatedClasses = []
# Warning: we're passing all of globals() into registerClasses.
# This is a) pass by reference, and b) a lot more stuff.
types._registerClasses(globals()) # pylint: disable=protected-access
def _ResetGeneratedClasses():
"""Remove the dynamic classes."""
global _generatedClasses
for name in _generatedClasses:
ApiFunction.clearApi(globals()[name])
del globals()[name]
_generatedClasses = []
# Warning: we're passing all of globals() into registerClasses.
# This is a) pass by reference, and b) a lot more stuff.
types._registerClasses(globals()) # pylint: disable=protected-access
def _InitializeUnboundMethods():
# Sort the items by length, so parents get created before children.
items = ApiFunction.unboundFunctions().items()
items.sort(key=lambda x: len(x[0]))
for name, func in items:
signature = func.getSignature()
if signature.get("hidden", False):
continue
# Create nested objects as needed.
name_parts = name.split(".")
target = Algorithms
while len(name_parts) > 1:
first = name_parts[0]
if not hasattr(target, first):
setattr(target, first, _AlgorithmsContainer())
target = getattr(target, first)
name_parts = name_parts[1:]
# Attach the function.
# We need a copy of the function to attach properties.
def GenerateFunction(f):
return lambda *args, **kwargs: f.call(*args, **kwargs) # pylint: disable=unnecessary-lambda
bound = GenerateFunction(func)
bound.signature = signature
bound.__doc__ = str(func)
setattr(target, name_parts[0], bound)
def Reset(): """Reset the library. Useful for re-initializing to a different server.""" data.reset() ApiFunction.reset() Image.reset() Feature.reset() Collection.reset() ImageCollection.reset() FeatureCollection.reset() Filter.reset() Geometry.reset() Number.reset() String.reset() _ResetGeneratedClasses() global Algorithms Algorithms = _AlgorithmsContainer()
def _InitializeUnboundMethods():
# Sort the items by length, so parents get created before children.
items = ApiFunction.unboundFunctions().items()
items.sort(key=lambda x: len(x[0]))
for name, func in items:
signature = func.getSignature()
if signature.get('hidden', False):
continue
# Create nested objects as needed.
name_parts = name.split('.')
target = Algorithms
while len(name_parts) > 1:
first = name_parts[0]
if not hasattr(target, first):
setattr(target, first, _AlgorithmsContainer())
target = getattr(target, first)
name_parts = name_parts[1:]
# Attach the function.
# We need a copy of the function to attach properties.
def GenerateFunction(f):
return lambda *args, **kwargs: f.call(*args, **kwargs) # pylint: disable=unnecessary-lambda
bound = GenerateFunction(func)
bound.signature = signature
bound.__doc__ = str(func)
setattr(target, name_parts[0], bound)
def Reset(): """Reset the library. Useful for re-initializing to a different server.""" data.reset() ApiFunction.reset() Element.reset() Image.reset() Feature.reset() Collection.reset() ImageCollection.reset() FeatureCollection.reset() Filter.reset() Geometry.reset() Number.reset() String.reset() _ResetGeneratedClasses() global Algorithms Algorithms = _AlgorithmsContainer()
def _MakeClass(name):
"""Generates a dynamic API class for a given name."""
def init(self, *args):
"""Initializer for dynamically created classes.
Args:
self: The instance of this class. Listed to make the linter hush.
*args: Either a ComputedObject to be promoted to this type, or
arguments to an algorithm with the same name as this class.
Returns:
The new class.
"""
if isinstance(args[0], ComputedObject) and len(args) == 1:
result = args[0]
else:
result = ApiFunction.call_(name, *args)
ComputedObject.__init__(self, result.func, result.args)
new_class = type(str(name), (ComputedObject,), {'__init__': init})
ApiFunction.importApi(new_class, name, name)
return new_class
def apply(func, named_args): # pylint: disable=redefined-builtin
"""Call a function with a dictionary of named arguments.
Args:
func: The function to call. Either an ee.Function object or the name of
an API function.
named_args: A dictionary of arguments to the function.
Returns:
A ComputedObject representing the called function. If the signature
specifies a recognized return type, the returned value will be cast
to that type.
"""
if isinstance(func, basestring):
func = ApiFunction.lookup(func)
return func.apply(named_args)
def apply(func, named_args): # pylint: disable=redefined-builtin
"""Call a function with a dictionary of named arguments.
Args:
func: The function to call. Either an ee.Function object or the name of
an API function.
named_args: A dictionary of arguments to the function.
Returns:
A ComputedObject representing the called function. If the signature
specifies a recognized return type, the returned value will be cast
to that type.
"""
if isinstance(func, basestring):
func = ApiFunction.lookup(func)
return func.apply(named_args)
def call(func, *args, **kwargs):
"""Invoke the given algorithm with the specified args.
Args:
func: The function to call. Either an ee.Function object or the name of
an API function.
*args: The positional arguments to pass to the function.
**kwargs: The named arguments to pass to the function.
Returns:
A ComputedObject representing the called function. If the signature
specifies a recognized return type, the returned value will be cast
to that type.
"""
if isinstance(func, basestring):
func = ApiFunction.lookup(func)
return func.call(*args, **kwargs)
def init(self, *args):
"""Initializer for dynamically created classes.
Args:
self: The instance of this class. Listed to make the linter hush.
*args: Either a ComputedObject to be promoted to this type, or
arguments to an algorithm with the same name as this class.
Returns:
The new class.
"""
if isinstance(args[0], ComputedObject) and len(args) == 1:
result = args[0]
else:
result = ApiFunction.call_(name, *args)
ComputedObject.__init__(self, result.func, result.args)
def init(self, *args):
"""Initializer for dynamically created classes.
Args:
self: The instance of this class. Listed to make the linter hush.
*args: Either a ComputedObject to be promoted to this type, or
arguments to an algorithm with the same name as this class.
Returns:
The new class.
"""
if isinstance(args[0], ComputedObject) and len(args) == 1:
result = args[0]
else:
result = ApiFunction.call_(name, *args)
ComputedObject.__init__(self, result.func, result.args)
def call(func, *args, **kwargs):
"""Invoke the given algorithm with the specified args.
Args:
func: The function to call. Either an ee.Function object or the name of
an API function.
*args: The positional arguments to pass to the function.
**kwargs: The named arguments to pass to the function.
Returns:
A ComputedObject representing the called function. If the signature
specifies a recognized return type, the returned value will be cast
to that type.
"""
if isinstance(func, basestring):
func = ApiFunction.lookup(func)
return func.call(*args, **kwargs)
def _InitializeGeneratedClasses():
"""Generate classes for extra types that appear in the web API."""
signatures = ApiFunction.allSignatures()
# Collect the first part of all function names.
names = set([name.split('.')[0] for name in signatures])
# Collect the return types of all functions.
returns = set([signatures[sig]['returns'] for sig in signatures])
want = [name for name in names.intersection(returns) if name not in globals()]
for name in want:
globals()[name] = _MakeClass(name)
_generatedClasses.append(name)
ApiFunction._bound_signatures.add(name) # pylint: disable=protected-access
# Warning: we're passing all of globals() into registerClasses.
# This is a) pass by reference, and b) a lot more stuff.
types._registerClasses(globals()) # pylint: disable=protected-access
def _InitializeGeneratedClasses():
"""Generate classes for extra types that appear in the web API."""
signatures = ApiFunction.allSignatures()
# Collect the first part of all function names.
names = set([name.split(".")[0] for name in signatures])
# Collect the return types of all functions.
returns = set([signatures[sig]["returns"] for sig in signatures])
want = [name for name in names.intersection(returns) if name not in globals()]
for name in want:
globals()[name] = _MakeClass(name)
_generatedClasses.append(name)
ApiFunction._bound_signatures.add(name) # pylint: disable=protected-access
# Warning: we're passing all of globals() into registerClasses.
# This is a) pass by reference, and b) a lot more stuff.
types._registerClasses(globals()) # pylint: disable=protected-access
def _InitializeGeneratedClasses():
"""Generate classes for extra types that appear in the web API."""
signatures = ApiFunction.allSignatures()
# Collect the first part of any function names that contain a '.'.
names = set([name.split('.')[0] for name in signatures if '.' in name])
# Collect the return types of all functions.
returns = set([signatures[sig]['returns'] for sig in signatures])
# We generate classes for all return types that match algorithms names TYPE.x
# excluding those already handled by the client library, and those
# explicitly blacklisted.
blacklist = ['List']
want = [name for name in names.intersection(returns)
if name not in globals() and name not in blacklist]
for name in want:
globals()[name] = _MakeClass(name)
_generatedClasses.append(name)
# Warning: we're passing all of globals() into registerClasses.
# This is a) pass by reference, and b) a lot more stuff.
types._registerClasses(globals()) # pylint: disable=protected-access
def _InitializeGeneratedClasses():
"""Generate classes for extra types that appear in the web API."""
signatures = ApiFunction.allSignatures()
# Collect the first part of all function names.
names = set([name.split('.')[0] for name in signatures])
# Collect the return types of all functions.
returns = set([signatures[sig]['returns'] for sig in signatures])
# We generate classes for all return types that match algorithms names TYPE.x
# excluding those already handled by the client library, and those
# explicitly blacklisted.
blacklist = ['List']
want = [name for name in names.intersection(returns)
if name not in globals() and name not in blacklist]
for name in want:
globals()[name] = _MakeClass(name)
_generatedClasses.append(name)
# Warning: we're passing all of globals() into registerClasses.
# This is a) pass by reference, and b) a lot more stuff.
types._registerClasses(globals()) # pylint: disable=protected-access
def _Promote(arg, klass):
"""Wrap an argument in an object of the specified class.
This is used to e.g.: promote numbers or strings to Images and arrays
to Collections.
Args:
arg: The object to promote.
klass: The expected type.
Returns:
The argument promoted if the class is recognized, otherwise the
original argument.
"""
if arg is None:
return arg
if klass == 'Image':
return Image(arg)
elif klass == 'Feature':
if isinstance(arg, Collection):
# TODO(user): Decide whether we want to leave this in. It can be
# quite dangerous on large collections.
return ApiFunction.call_(
'Feature', ApiFunction.call_('Collection.geometry', arg))
else:
return Feature(arg)
elif klass == 'Element':
if isinstance(arg, Element):
# Already an Element.
return arg
elif isinstance(arg, Geometry):
# Geometries get promoted to Features.
return Feature(arg)
elif isinstance(arg, ComputedObject):
# Try a cast.
return Element(arg.func, arg.args, arg.varName)
else:
# No way to convert.
raise EEException('Cannot convert %s to Element.' % arg)
elif klass == 'Geometry':
if isinstance(arg, Collection):
return ApiFunction.call_('Collection.geometry', arg)
else:
return Geometry(arg)
elif klass in ('FeatureCollection', 'Collection'):
# For now Collection is synonymous with FeatureCollection.
if isinstance(arg, Collection):
return arg
else:
return FeatureCollection(arg)
elif klass == 'ImageCollection':
return ImageCollection(arg)
elif klass == 'Filter':
return Filter(arg)
elif klass == 'Algorithm':
if isinstance(arg, basestring):
# An API function name.
return ApiFunction.lookup(arg)
elif callable(arg):
# A native function that needs to be wrapped.
args_count = len(inspect.getargspec(arg).args)
return CustomFunction.create(arg, 'Object',
['Object'] * args_count)
elif isinstance(arg, Encodable):
# An ee.Function or a computed function like the return value of
# Image.parseExpression().
return arg
else:
raise EEException('Argument is not a function: %s' % arg)
elif klass == 'Dictionary':
if isinstance(arg, dict):
return arg
else:
return Dictionary(arg)
elif klass == 'String':
if (types.isString(arg) or isinstance(arg, ComputedObject)
or isinstance(arg, String)):
return String(arg)
else:
return arg
elif klass == 'List':
return List(arg)
elif klass in ('Number', 'Float', 'Long', 'Integer', 'Short', 'Byte'):
return Number(arg)
elif klass in globals():
cls = globals()[klass]
ctor = ApiFunction.lookupInternal(klass)
# Handle dynamically created classes.
if isinstance(arg, cls):
# Return unchanged.
return arg
elif ctor:
# The client-side constructor will call the server-side constructor.
return cls(arg)
elif isinstance(arg, basestring):
if hasattr(cls, arg):
# arg is the name of a method in klass.
return getattr(cls, arg)()
else:
raise EEException('Unknown algorithm: %s.%s' % (klass, arg))
else:
# Client-side cast.
return cls(arg)
else:
return arg
def _Promote(arg, klass):
"""Wrap an argument in an object of the specified class.
This is used to e.g.: promote numbers or strings to Images and arrays
to Collections.
Args:
arg: The object to promote.
klass: The expected type.
Returns:
The argument promoted if the class is recognized, otherwise the
original argument.
"""
if arg is None:
return arg
if klass == "Image":
return Image(arg)
elif klass == "Feature":
if isinstance(arg, Collection):
# TODO(user): Decide whether we want to leave this in. It can be
# quite dangerous on large collections.
return ApiFunction.call_("Feature", ApiFunction.call_("Collection.geometry", arg))
else:
return Feature(arg)
elif klass == "Element":
if isinstance(arg, Element):
# Already an Element.
return arg
elif isinstance(arg, Geometry):
# Geometries get promoted to Features.
return Feature(arg)
elif isinstance(arg, ComputedObject):
# Try a cast.
return Element(arg.func, arg.args, arg.varName)
else:
# No way to convert.
raise EEException("Cannot convert %s to Element." % arg)
elif klass == "Geometry":
if isinstance(arg, Collection):
return ApiFunction.call_("Collection.geometry", arg)
else:
return Geometry(arg)
elif klass in ("FeatureCollection", "Collection"):
# For now Collection is synonymous with FeatureCollection.
if isinstance(arg, Collection):
return arg
else:
return FeatureCollection(arg)
elif klass == "ImageCollection":
return ImageCollection(arg)
elif klass == "Filter":
return Filter(arg)
elif klass == "Algorithm":
if isinstance(arg, basestring):
# An API function name.
return ApiFunction.lookup(arg)
elif callable(arg):
# A native function that needs to be wrapped.
args_count = len(inspect.getargspec(arg).args)
return CustomFunction.create(arg, "Object", ["Object"] * args_count)
elif isinstance(arg, Encodable):
# An ee.Function or a computed function like the return value of
# Image.parseExpression().
return arg
else:
raise EEException("Argument is not a function: %s" % arg)
elif klass == "Dictionary":
if isinstance(arg, dict):
return arg
else:
return Dictionary(arg)
elif klass == "String":
if types.isString(arg) or isinstance(arg, ComputedObject) or isinstance(arg, String):
return String(arg)
else:
return arg
elif klass == "List":
return List(arg)
elif klass in ("Number", "Float", "Long", "Integer", "Short", "Byte"):
return Number(arg)
elif klass in globals():
cls = globals()[klass]
ctor = ApiFunction.lookupInternal(klass)
# Handle dynamically created classes.
if isinstance(arg, cls):
# Return unchanged.
return arg
elif ctor:
# The client-side constructor will call the server-side constructor.
return cls(arg)
elif isinstance(arg, basestring):
if hasattr(cls, arg):
# arg is the name of a method in klass.
return getattr(cls, arg)()
else:
raise EEException("Unknown algorithm: %s.%s" % (klass, arg))
else:
# Client-side cast.
return cls(arg)
else:
return arg
def _Promote(arg, klass):
"""Wrap an argument in an object of the specified class.
This is used to e.g.: promote numbers or strings to Images and arrays
to Collections.
Args:
arg: The object to promote.
klass: The expected type.
Returns:
The argument promoted if the class is recognized, otherwise the
original argument.
"""
if arg is None:
return arg
if klass == 'Image':
return Image(arg)
elif klass == 'ImageCollection':
return ImageCollection(arg)
elif klass in ('Feature', 'EEObject'):
if isinstance(arg, Collection):
# TODO(user): Decide whether we want to leave this in. It can be
# quite dangerous on large collections.
return ApiFunction.call_(
'Feature', ApiFunction.call_('Collection.geometry', arg))
elif klass == 'EEObject' and isinstance(arg, Image):
# An Image is already an EEObject.
return arg
else:
return Feature(arg)
elif klass == 'Geometry':
if isinstance(arg, Collection):
return ApiFunction.call_('Collection.geometry', arg)
else:
return Geometry(arg)
elif klass in ('FeatureCollection', 'EECollection', 'Collection'):
if isinstance(arg, Collection):
return arg
else:
return FeatureCollection(arg)
elif klass == 'Filter':
return Filter(arg)
elif klass == 'ErrorMargin' and isinstance(arg, numbers.Number):
return ApiFunction.call_('ErrorMargin', arg, 'meters')
elif klass == 'Algorithm' and isinstance(arg, basestring):
return ApiFunction.lookup(arg)
elif klass == 'Date':
if isinstance(arg, basestring):
try:
import dateutil.parser # pylint: disable=g-import-not-at-top
except ImportError:
raise EEException(
'Conversion of strings to dates requires the dateutil library.')
else:
return dateutil.parser.parse(arg)
elif isinstance(arg, numbers.Number):
return datetime.datetime.fromtimestamp(arg / 1000)
elif isinstance(arg, ComputedObject):
# Bypass promotion of this and do it directly.
func = ApiFunction.lookup('Date')
return ComputedObject(func, func.promoteArgs(func.nameArgs([arg])))
else:
return arg
elif klass == 'Dictionary':
if klass not in globals():
# No dictionary class defined.
return arg
cls = globals()[klass]
if isinstance(arg, cls):
return arg
elif isinstance(arg, ComputedObject):
return cls(arg)
else:
# Can't promote non-ComputedObjects up to Dictionary; no constructor.
return arg
elif klass == 'String':
if (types.isString(arg) or
isinstance(arg, ComputedObject) or
isinstance(arg, String) or
types.isVarOfType(arg, String)):
return String(arg)
else:
return arg
elif klass in globals():
cls = globals()[klass]
# Handle dynamically created classes.
if isinstance(arg, cls):
return arg
elif isinstance(arg, basestring):
if not hasattr(cls, arg):
raise EEException('Unknown algorithm: %s.%s' % (klass, arg))
return getattr(cls, arg)()
else:
return cls(arg)
else:
return arg
def _Promote(arg, klass):
"""Wrap an argument in an object of the specified class.
This is used to e.g.: promote numbers or strings to Images and arrays
to Collections.
Args:
arg: The object to promote.
klass: The expected type.
Returns:
The argument promoted if the class is recognized, otherwise the
original argument.
"""
if arg is None:
return arg
if klass == 'Image':
return Image(arg)
elif klass == 'Feature':
if isinstance(arg, Collection):
# TODO(user): Decide whether we want to leave this in. It can be
# quite dangerous on large collections.
return ApiFunction.call_(
'Feature', ApiFunction.call_('Collection.geometry', arg))
else:
return Feature(arg)
elif klass in ('Element', 'EEObject'):
# TODO(user): Remove EEObject once the server is updated.
if isinstance(arg, Element):
# Already an EEObject.
return arg
elif isinstance(arg, ComputedObject):
# Try a cast.
return Element(arg.func, arg.args, arg.varName)
else:
# No way to convert.
raise EEException('Cannot convert %s to Element.' % arg)
elif klass == 'Geometry':
if isinstance(arg, Collection):
return ApiFunction.call_('Collection.geometry', arg)
else:
return Geometry(arg)
elif klass in ('FeatureCollection', 'Collection'):
# For now Collection is synonymous with FeatureCollection.
if isinstance(arg, Collection):
return arg
else:
return FeatureCollection(arg)
elif klass == 'ImageCollection':
return ImageCollection(arg)
elif klass == 'Filter':
return Filter(arg)
elif klass == 'Algorithm' and isinstance(arg, basestring):
return ApiFunction.lookup(arg)
elif klass == 'Dictionary':
if isinstance(arg, dict):
return arg
else:
return Dictionary(arg)
elif klass == 'String':
if (types.isString(arg) or
isinstance(arg, ComputedObject) or
isinstance(arg, String)):
return String(arg)
else:
return arg
elif klass == 'List':
return List(arg)
elif klass in ('Number', 'Float', 'Long', 'Integer', 'Short', 'Byte'):
return Number(arg)
elif klass in globals():
cls = globals()[klass]
ctor = ApiFunction.lookupInternal(klass)
# Handle dynamically created classes.
if isinstance(arg, cls):
# Return unchanged.
return arg
elif ctor:
# The client-side constructor will call the server-side constructor.
return cls(arg)
elif isinstance(arg, basestring):
if hasattr(cls, arg):
# arg is the name of a method in klass.
return getattr(cls, arg)()
else:
raise EEException('Unknown algorithm: %s.%s' % (klass, arg))
else:
# Client-side cast.
return cls(arg)
else:
return arg
def _Promote(arg, klass):
"""Wrap an argument in an object of the specified class.
This is used to e.g.: promote numbers or strings to Images and arrays
to Collections.
Args:
arg: The object to promote.
klass: The expected type.
Returns:
The argument promoted if the class is recognized, otherwise the
original argument.
"""
if arg is None:
return arg
if klass == 'Image':
return Image(arg)
elif klass == 'Feature':
if isinstance(arg, Collection):
# TODO(user): Decide whether we want to leave this in. It can be
# quite dangerous on large collections.
return ApiFunction.call_(
'Feature', ApiFunction.call_('Collection.geometry', arg))
else:
return Feature(arg)
elif klass in ('Element', 'EEObject'):
# TODO(user): Remove EEObject once the server is updated.
if isinstance(arg, Element):
# Already an EEObject.
return arg
elif isinstance(arg, ComputedObject):
# Try a cast.
return Element(arg.func, arg.args)
else:
# No way to convert.
raise EEException('Cannot convert %s to Element.' % arg)
elif klass == 'Geometry':
if isinstance(arg, Collection):
return ApiFunction.call_('Collection.geometry', arg)
else:
return Geometry(arg)
elif klass in ('FeatureCollection', 'Collection'):
# For now Collection is synonymous with FeatureCollection.
if isinstance(arg, Collection):
return arg
else:
return FeatureCollection(arg)
elif klass == 'ImageCollection':
return ImageCollection(arg)
elif klass == 'Filter':
return Filter(arg)
elif klass == 'Algorithm' and isinstance(arg, basestring):
return ApiFunction.lookup(arg)
elif klass == 'Date':
if isinstance(arg, basestring):
try:
import dateutil.parser # pylint: disable=g-import-not-at-top
except ImportError:
raise EEException(
'Conversion of strings to dates requires the dateutil library.')
else:
return dateutil.parser.parse(arg)
elif isinstance(arg, numbers.Number):
return datetime.datetime.fromtimestamp(arg / 1000)
elif isinstance(arg, ComputedObject):
# Bypass promotion of this and do it directly.
func = ApiFunction.lookup('Date')
return ComputedObject(func, func.promoteArgs(func.nameArgs([arg])))
else:
return arg
elif klass == 'Dictionary':
if klass not in globals():
# No dictionary class defined.
return arg
cls = globals()[klass]
if isinstance(arg, cls):
return arg
elif isinstance(arg, ComputedObject):
return cls(arg)
else:
# Can't promote non-ComputedObjects up to Dictionary; no constructor.
return arg
elif klass == 'String':
if (types.isString(arg) or
isinstance(arg, ComputedObject) or
isinstance(arg, String) or
types.isVarOfType(arg, String)):
return String(arg)
else:
return arg
elif klass in globals():
cls = globals()[klass]
# Handle dynamically created classes.
if isinstance(arg, cls):
return arg
elif isinstance(arg, basestring):
if not hasattr(cls, arg):
raise EEException('Unknown algorithm: %s.%s' % (klass, arg))
return getattr(cls, arg)()
else:
return cls(arg)
else:
return arg
