def __init__(cls, name, bases, attrs):
        # Initialize the data store of the class, if necessary
        cls._data = getattr(cls, "_data", dict())

        # Retrieve and process attribute names
        fields = getattr(cls, "_FIELDS", dict())
        _fields_read_only = getattr(cls, "_FIELDS_READ_ONLY", list())
        _fields_required = getattr(cls, "_FIELDS_REQUIRED", list())

        # Post-process _FIELDS list/dictionary
        if isinstance(fields, list):
            fields = {key: (str, None) for key in fields}

        setattr(
            cls, "_pre_save_hook", lambda self: self._cache and map(
                lambda obj: obj.save(), self._cache.values()))

        setattr(cls, "_pre_save_hook",
                lambda self: APIResourceMetaclass.__pre_save_hook(self))

        # Define special getter for the ID field
        setattr(
            cls, "id",
            property(fget=APIResourceMetaclass.__getid,
                     doc="The API-provided ID of the instantiated resource."))

        for field_name in fields:
            field_type = fields[field_name][0]
            field_doc = fields[field_name][1]
            setattr(
                cls, field_name,
                APIResourceMetaclass.__mk_property(cls,
                                                   field_name=field_name,
                                                   field_type=field_type,
                                                   field_doc=field_doc))

        if _forge:
            # Only works in Python 3.5+ which has
            # the python-forge package

            if _crud.CreatableAPIResource in bases:
                cls.create = _forge.sign(
                    *APIResourceMetaclass._build_signature(
                        obj=cls, all_optional=False, with_id=False))(
                            cls.create)
                cls.saveInstanceAsNew = _forge.sign(
                    *APIResourceMetaclass._build_signature(
                        obj=cls, all_optional=True, with_id=False))(
                            cls.duplicate)

            if _crud.UpdatableAPIResource in bases:
                cls.update = _forge.sign(
                    *APIResourceMetaclass._build_signature(
                        obj=cls, all_optional=True, with_id=True))(cls.update)
                cls.saveInstance = _forge.sign(
                    *APIResourceMetaclass._build_signature(
                        obj=cls, all_optional=True, with_id=False))(cls.save)
Beispiel #2
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    def _eval_lambda(self, node):

        sig_list, sig_dict = self._eval(node.args)
        _class = self.__class__

        def _func(*args, **kwargs):
            local_scope = {
                inspect.getfullargspec(_func).varargs: args,
                **{
                    kwo: kwargs.pop(kwo)
                    for kwo in inspect.getfullargspec(_func).kwonlyargs + inspect.getfullargspec(_func).args
                },
                inspect.getfullargspec(_func).varkw: kwargs,
            }
            s = _class(modules=self.modules,
                       scope=copy(self.scope),
                       call_stack=self.call_stack)
            s.scope.push(local_scope)
            s.expr = self.expr
            try:
                return s._eval(node.body)
            finally:
                self.track(s)

        # prevent unwrap from detecting this nested function
        # del _func.__wrapped__
        _func.__name__ = "<lambda>"
        _func.__qualname__ = "<lambda>"

        _func = forge.sign(*sig_list, **sig_dict)(_func)
        return _func
Beispiel #3
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def sign_defaults(symbol, expr, composition):
    '''gets defaults from an expression using composition'''
    defaults = {}
    for f_ in get_undefined_funcs(expr):
        # includes {h(f(g)), f(g)}
        if str(f_) in composition:
            # ignores h(f(g))
            f_defaults = get_defaults(composition[str(f_)])
            # flatten defaults
            for arg, arg_default in f_defaults.items():
                defaults[arg] = arg_default

    arg_signatures = []
    # defaults have to go last, which may conflict with user's ordering
    for arg in symbol.args:
        str_arg = str(arg)
        if str_arg in defaults:
            arg_default = defaults[str(arg)]
            arg_signatures.append(forge.arg(str_arg, default=arg_default))
        else:
            arg_signatures.append(forge.arg(str_arg))

    # will raise an error if defaults are not last
    signature = forge.sign(*arg_signatures)
    return signature
Beispiel #4
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def copy_signatures(
    target_function: Callable,
    template_functions: List[TemplateFunction],
    exclude_args: Iterable[str] = None,
) -> Callable:
    """A decorator that copies function signatures from one or more template functions to a
    target function.

    Args:
        target_function: Function to modify
        template_functions: Functions containing params to apply to ``target_function``
    """
    # Start with 'self' parameter if this is an instance method
    fparams = {}
    if 'self' in signature(target_function).parameters or ismethod(
            target_function):
        fparams['self'] = forge.self

    # Add and combine parameters from all template functions, excluding duplicates, self, and *args
    for func in template_functions:
        new_fparams = {
            k: v
            for k, v in forge.copy(func).signature.parameters.items()
            if k != 'self' and v.kind != Parameter.VAR_POSITIONAL
        }
        fparams.update(new_fparams)

    # Manually remove any excluded parameters
    for key in ensure_list(exclude_args):
        fparams.pop(key, None)

    fparams = deduplicate_var_kwargs(fparams)
    revision = forge.sign(*fparams.values())
    return revision(target_function)
def get_combined_revision(*functions: Callable):
    """Combine the parameters of all revisions into a single revision"""
    import forge

    params = {}
    for func in functions:
        params.update(forge.copy(func).signature.parameters)
    params = deduplicate_kwargs(params)
    return forge.sign(*params.values())
Beispiel #6
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def _get_combined_revision(template_functions: List[TemplateFunction]):
    """ Create a :py:class:`forge.Revision` from the combined parameters of multiple functions """
    import forge

    # Use forge.copy to create a revision for each template function
    revisions = [forge.copy(func) for func in template_functions]

    # Combine the parameters of all revisions into a single revision
    fparams = [list(rev.signature.parameters.values()) for rev in revisions]
    return forge.sign(*list(chain.from_iterable(fparams)))
Beispiel #7
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    def _eval_functiondef(self, node):

        sig_list, sig_dict = self._eval(node.args)
        _annotations = {
            a.arg: self._eval(a.annotation)
            for a in node.args.args +
            getattr(node.args, "posonlyargs", [None])  # for backwards compat
            + getattr(node.args, "kwonlyargs", [None])  # for backwards compat
            + [node.args.kwarg]  # is a single element
            if a and a.annotation
        }
        _class = self.__class__

        def _func(*args, **kwargs):
            # reconostruct what the orignial function arguments would have been
            local_scope = {
                inspect.getfullargspec(_func).varargs: args,
                **{
                    kwo: kwargs.pop(kwo)
                    for kwo in inspect.getfullargspec(_func).kwonlyargs + inspect.getfullargspec(_func).args
                },
                inspect.getfullargspec(_func).varkw: kwargs,
            }
            s = _class(modules=self.modules,
                       scope=copy(self.scope),
                       call_stack=self.call_stack)
            s.scope.push(local_scope)
            s.expr = self.expr
            for b in node.body:
                try:
                    s._eval(b)
                except Return as r:
                    return r.value
                finally:
                    self.track(s)

        _func.__name__ = node.name
        _func.__annotations__ = _annotations
        _func.__qualname__ = node.name
        _func = forge.sign(*sig_list, **sig_dict)(_func)

        # prevent unwrap from detecting this nested function
        del _func.__wrapped__
        _func.__doc__ = ast.get_docstring(node)

        decorated_func = _func
        decorators = [self._eval(d) for d in node.decorator_list]
        for decorator in decorators[::-1]:
            decorated_func = decorator(decorated_func)

        self.scope[node.name] = decorated_func
def combine(functions: List[Callable]):
    args_list = []
    funcs = []
    combined_args = {}
    for func in functions:
        if not callable(func):
            raise TypeError("Arguments must be callable")
        signature = get_typed_signature(func)
        signature_params = signature.parameters
        func_arg_names = set({})
        for param_name, param in signature_params.items():
            param_field = get_param_field(param=param,
                                          param_name=param_name,
                                          default_field_info=param.default)
            arg = forge.arg(name=param_field.name,
                            type=param_field.type_,
                            default=param.default)
            if param_name in combined_args:
                current_arg = combined_args[param_name]
                if str(arg) != str(current_arg):
                    raise TypeError(
                        f"{arg} and {current_arg} are incompatible.")
            else:
                combined_args[param_name] = arg
            func_arg_names.add(param_name)
            args_list.append(arg)
        funcs.append((func, func_arg_names))

    def combined_functions(*args, **kwargs):
        result = []
        for (func, arg_names) in funcs:
            func_kwargs = dict((k, kwargs[k]) for k in arg_names)
            result.append(func(*args, **func_kwargs))
        return result

    new_args = tuple(combined_args.values())
    return forge.sign(*new_args)(combined_functions)
Beispiel #9
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    def _initialize(self, instance):
        self.request = instance.request

        available_parameters = {
            # Json body is only available for POST/PUT
            ('create', 'update'):
            self._params['body'],
            # Query parameter is only available for GET/DELETE
            ('get', 'list', 'delete'):
            self._params['query'],
        }

        for method, path in self._paths.items():
            # Path parameter would be postional argument
            sigs = [forge.pos(f) for f in path.fields]

            for methods, params in available_parameters.items():
                if method in methods:
                    # Query/Body parameter would be keyword only argument
                    sigs.extend(
                        forge.kwo(
                            param.name, default=param.default, type=param.type)
                        for param in params)

            # Any other keyword argument would be matched to 'kwargs'
            sigs.append(forge.vkw('kwargs'))
            setattr(self, method, forge.sign(*sigs)(getattr(self, method)))

        for method in list(self.methods):

            def unsupported(*args, **kwargs):
                raise NotImplementedError(f"'{self._name}' has no method "
                                          f"what you called")

            if method not in self._paths:
                setattr(self, method, unsupported)
                self.methods.remove(method)
Beispiel #10
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    def get_sdk_node(
            self,
            pipeline_context,
            instance,
            pipeline_run,
            step_key,
            task_type=constants.SdkTaskType.PYTHON_TASK,
            cache_version="",
            retries=0,
            interruptible=False,
            deprecated="",
            storage_request=None,
            cpu_request=None,
            gpu_request=None,
            memory_request=None,
            storage_limit=None,
            cpu_limit=None,
            gpu_limit=None,
            memory_limit=None,
            cache=False,
            timeout=datetime.timedelta(seconds=0),
            environment=None,
    ):
        execution_step = self.execution_plan.get_step_by_key(step_key)
        flyte_inputs = self.flyte_inputs(execution_step.step_input_dict,
                                         execution_step.solid_name)
        flyte_outputs = self.flyte_outputs(execution_step.step_output_dict,
                                           execution_step.solid_name)

        def wrapper(wf_params, *args, **kwargs):  # pylint: disable=unused-argument
            # TODO: We can't update config values via inputs from Flyte, because they are immutable
            plan = self.execution_plan.build_subset_plan([step_key])
            for param, arg in kwargs.items():
                self.inject_intermediates(pipeline_context, execution_step,
                                          param, arg)

            results = list(
                execute_plan(
                    plan,
                    instance,
                    run_config=self.run_config,
                    pipeline_run=pipeline_run,
                ))

            for result in results:
                step_context = pipeline_context.for_step(execution_step)
                self.output_value(step_context, step_key, result,
                                  execution_step, kwargs)

        # This will take the wrapper definition and re-create it with explicit parameters as keyword argumentss
        wrapper = forge.sign(forge.arg("wf_params"),
                             *map(forge.arg, flyte_inputs.keys()),
                             *map(forge.arg, flyte_outputs.keys()))(wrapper)

        # flytekit uses this name for an internal representation, make it unique to the step key
        wrapper.__name__ = execution_step.solid_name

        task = sdk_runnable.SdkRunnableTask(
            task_function=wrapper,
            task_type=task_type,
            discovery_version=cache_version,
            retries=retries,
            interruptible=interruptible,
            deprecated=deprecated,
            storage_request=storage_request,
            cpu_request=cpu_request,
            gpu_request=gpu_request,
            memory_request=memory_request,
            storage_limit=storage_limit,
            cpu_limit=cpu_limit,
            gpu_limit=gpu_limit,
            memory_limit=memory_limit,
            discoverable=cache,
            timeout=timeout,
            environment=environment,
            custom={},
        )

        if flyte_inputs:
            task = inputs(task, **flyte_inputs)
        if flyte_outputs:
            task = outputs(task, **flyte_outputs)

        return task
def get_combined_revision(functions: Iterable[Callable]) -> forge.Revision:
    """Combine the parameters of all revisions into a single revision"""
    params = {}
    for func in functions:
        params.update(forge.copy(func).signature.parameters)
    return forge.sign(*params.values())
Beispiel #12
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def create_method(client, params, body, method_info):
    _sig_url_params = []
    _sig_params_req = []
    _sig_params_opt = []
    _sig_body_req = []
    _sig_body_opt = []

    for _key, _url_param in method_info['url_parameters'].items():
        _sig_url_params.append(forge.arg(name=_key, type=_url_param['type']))

    if params['data']:
        for _key, _param_item in params['data'].items():
            if _param_item['required']:
                _sig_params_req.append(
                    forge.arg(name=_key, type=_param_item['type']))
            else:
                _sig_params_opt.append(
                    forge.kwo(name=_key,
                              type=_param_item['type'],
                              default=None))

    if body['data']:
        for _key, _body_item in body['data'].items():
            if _body_item['required']:
                _sig_body_req.append(
                    forge.arg(name=_key, type=_body_item['type']))
            else:
                _sig_body_opt.append(
                    forge.kwo(name=_key, type=_body_item['type'],
                              default=None))

    async def inner_method(self, **kwargs):
        # Verify signature
        endpoint_signature = {}
        for url_param, url_param_info in method_info['url_parameters'].items():
            if url_param not in kwargs:
                raise SyntaxError(
                    f'Argument {url_param!r} is a required keyword argument.')

            if 'validator' in url_param_info:
                tested = url_param_info['validator'](kwargs[url_param])
                if not tested:
                    # TODO: less generic error messages by abstracting this to the endpoint data structure
                    raise ValueError(
                        f'Supplied argument {url_param!r} failed to validate')

            endpoint_signature[url_param] = kwargs[url_param]
        endpoint = method_info['endpoint'].format(**endpoint_signature)

        # Verify params
        # TODO: DRY
        params_signature = []
        for param in params['required']:
            item = None

            if param not in kwargs:
                if 'default' not in params['data'][param]:
                    raise SyntaxError(
                        f'Parameter {param!r} is a required keyword argument')
                else:
                    item = params['data'][param]

            if not item:
                item = kwargs[param]

            if 'validator' in params['data'][param]:
                tested = params['data'][param]['validator'](item)
                if not tested:
                    # TODO: less generic error messages by abstracting this to the endpoint data structure
                    raise ValueError(
                        f'Supplied argument {param!r} failed to validate')

            if '_internal_name' in params['data'][param]:
                params_signature.append(
                    (params['data'][param]['_internal_name'],
                     format_parameter_value(item)))
            else:
                params_signature.append((param, format_parameter_value(item)))

        for param in params['optional']:
            if param in kwargs and kwargs[param] is not None:
                if 'validator' in params['data'][param]:
                    tested = params['data'][param]['validator'](kwargs[param])
                    if not tested:
                        # TODO: less generic error messages by abstracting this to the endpoint data structure
                        raise ValueError(
                            f'Supplied argument {param!r} failed to validate')

                if '_internal_name' in params['data'][param]:
                    params_signature.append(
                        (params['data'][param]['_internal_name'],
                         format_parameter_value(kwargs[param])))
                else:
                    params_signature.append(
                        (param, format_parameter_value(kwargs[param])))

        # Verify body
        # TODO: DRY
        body_signature = {}
        for key in body['required']:
            item = None
            if key not in kwargs:
                if 'default' not in body['data'][key]:
                    raise SyntaxError(
                        f'Body key {key!r} is a required keyword argument')
                else:
                    item = body['data'][key]['default']

            if not item:
                item = kwargs[key]

            if 'validator' in body['data'][key]:
                tested = body['data'][key]['validator'](item)
                if not tested:
                    # TODO: less generic error messages by abstracting this to the endpoint data structure
                    raise ValueError(
                        f'Supplied argument {key!r} failed to validate')

            if '_internal_name' in body['data'][key]:
                body_signature[body['data'][key]['_internal_name']] = item if method_info['body_type'] == 'json' else \
                    format_parameter_value(item)
            else:
                body_signature[key] = item if method_info['body_type'] == 'json' else \
                    format_parameter_value(item)

        for key in body['optional']:
            if key in kwargs and kwargs[key] is not None:
                if 'validator' in body['data'][key]:
                    tested = body['data'][key]['validator'](kwargs[key])
                    if not tested:
                        # TODO: less generic error messages by abstracting this to the endpoint data structure
                        raise ValueError(
                            f'Supplied argument {key!r} failed to validate')

                if '_internal_name' in body['data'][key]:
                    body_signature[body['data'][key]['_internal_name']] = kwargs[key] if \
                        method_info['body_type'] == 'json' else \
                        format_parameter_value(kwargs[key])
                else:
                    body_signature[key] = kwargs[key] if method_info['body_type'] == 'json' else \
                        format_parameter_value(kwargs[key])

        if method_info['http_method'] in ['POST', 'PUT', 'PATCH']:
            # Have a body
            if method_info['body_type'] == 'kv':
                resp = await self.signed_request(
                    method_info['http_method'],
                    endpoint,
                    params=params_signature,
                    data=body_signature,
                    headers={'content-type': method_info['content_type']})
            elif method_info['body_type'] == 'json':
                resp = await self.signed_request(
                    method_info['http_method'],
                    endpoint,
                    params=params_signature,
                    json=body_signature,
                    headers={'content-type': method_info['content_type']})
            else:
                raise RuntimeError(
                    f'Unknown body type {method_info["body_type"]!r} in method {method_info["method_name"]!r}'
                )
        elif method_info['http_method'] in ['GET', 'DELETE']:
            # No body for these methods, nor a specific content-type
            resp = await self.signed_request(method_info['http_method'],
                                             endpoint,
                                             params=params_signature)
        else:
            raise NotImplementedError(
                f'Unsupported HTTP verb {method_info["http_method"]!r}.')

        return resp

    revised = forge.sign(
        forge.pos(name='self'),
        *_sig_url_params,
        *_sig_params_req,
        *_sig_body_req,
        *_sig_params_opt,
        *_sig_body_opt,
    )(inner_method)
    revised.__name__ = method_info['method_name']

    revised.__doc__ = generate_docstring(params, body, method_info)
    setattr(client, method_info['method_name'], revised)