"""The EE Javascript library.""" # Using lowercase function naming to match the JavaScript names. # pylint: disable=g-bad-name import datetime import numbers import sys import oauth2client.client from apifunction import ApiFunction from collection import Collection from computedobject import ComputedObject from customfunction import CustomFunction import data from ee_date import Date from ee_exception import EEException from ee_number import Number from ee_string import String import ee_types as types from element import Element from encodable import Encodable from feature import Feature from featurecollection import FeatureCollection from filter import Filter from function import Function from geometry import Geometry from image import Image from imagecollection import ImageCollection from serializer import Serializer OAUTH2_SCOPE = 'https://www.googleapis.com/auth/earthengine.readonly' # A list of autogenerated class names added by _InitializeGenerateClasses. _generatedClasses = [] # A lightweight class that is used as a dictionary with dot notation. class _AlgorithmsContainer(dict): def __getattr__(self, name): return self[name] def __setattr__(self, name, value): self[name] = value def __delattr__(self, name): del self[name] # A dictionary of algorithms that are not bound to a specific class. Algorithms = _AlgorithmsContainer() 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() Number.initialize() String.initialize() Date.initialize() _InitializeGeneratedClasses() _InitializeUnboundMethods() 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() Date.reset() _ResetGeneratedClasses() global Algorithms Algorithms = _AlgorithmsContainer() 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 ServiceAccountCredentials(email, key_file=None, key_data=None): """Configure OAuth2 credentials for a Google Service Account. Args: email: The email address of the account for which to configure credentials. key_file: The path to a file containing the private key associated with the service account. key_data: Raw key data to use, if key_file is not specified. Returns: An OAuth2 credentials object. """ if key_file: key_data = open(key_file, 'rb').read() return oauth2client.client.SignedJwtAssertionCredentials( email, key_data, OAUTH2_SCOPE) 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 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 _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 == '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 _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 _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 _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 # Set up type promotion rules as soon the package is loaded. Function._registerPromoter(_Promote) # pylint: disable=protected-access