# Copyright 2022 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"). You # may not use this file except in compliance with the License. A copy of # the License is located at # # http://aws.amazon.com/apache2.0/ # # or in the "license" file accompanying this file. This file is # distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND, either express or implied. See the License for the specific # language governing permissions and limitations under the License. """ NOTE: All classes and functions in this module are considered private and are subject to abrupt breaking changes. Please do not use them directly. To view the raw JSON that the objects in this module represent, please go to any `endpoint-rule-set.json` file in /botocore/data/// or you can look at the test files in /tests/unit/data/endpoints/valid-rules/ """ import logging import re from enum import Enum from functools import lru_cache from string import Formatter from typing import NamedTuple from botocore import xform_name from botocore.compat import IPV4_RE, quote, urlparse from botocore.exceptions import EndpointResolutionError from botocore.utils import ( ArnParser, InvalidArnException, is_valid_ipv4_endpoint_url, is_valid_ipv6_endpoint_url, normalize_url_path, percent_encode, ) logger = logging.getLogger(__name__) TEMPLATE_STRING_RE = re.compile(r"\{[a-zA-Z#]+\}") GET_ATTR_RE = re.compile(r"(\w+)\[(\d+)\]") VALID_HOST_LABEL_RE = re.compile( r"^(?!-)[a-zA-Z\d-]{1,63}(?= len(value): return None return value[index] else: value = value[part] return value def format_partition_output(self, partition): output = partition["outputs"] output["name"] = partition["id"] return output def is_partition_match(self, region, partition): matches_regex = re.match(partition["regionRegex"], region) is not None return region in partition["regions"] or matches_regex def aws_partition(self, value): """Match a region string to an AWS partition. :type value: str :rtype: dict """ partitions = self.partitions_data['partitions'] if value is not None: for partition in partitions: if self.is_partition_match(value, partition): return self.format_partition_output(partition) # return the default partition if no matches were found aws_partition = partitions[0] return self.format_partition_output(aws_partition) def aws_parse_arn(self, value): """Parse and validate string for ARN components. :type value: str :rtype: dict """ if value is None or not value.startswith("arn:"): return None try: arn_dict = ARN_PARSER.parse_arn(value) except InvalidArnException: return None # partition, resource, and service are required if not all( (arn_dict["partition"], arn_dict["service"], arn_dict["resource"]) ): return None arn_dict["accountId"] = arn_dict.pop("account") resource = arn_dict.pop("resource") delimiter = ":" if ":" in resource else "/" arn_dict["resourceId"] = resource.split(delimiter) return arn_dict def is_valid_host_label(self, value, allow_subdomains): """Evaluates whether a value is a valid host label per RFC 1123. If allow_subdomains is True, split on `.` and validate each component separately. :type value: str :type allow_subdomains: bool :rtype: bool """ if value is None or allow_subdomains is False and value.count(".") > 0: return False if allow_subdomains is True: return all( self.is_valid_host_label(label, False) for label in value.split(".") ) return VALID_HOST_LABEL_RE.match(value) is not None def string_equals(self, value1, value2): """Evaluates two string values for equality. :type value1: str :type value2: str :rtype: bool """ if not all(isinstance(val, str) for val in (value1, value2)): msg = f"Both values must be strings, not {type(value1)} and {type(value2)}." raise EndpointResolutionError(msg=msg) return value1 == value2 def uri_encode(self, value): """Perform percent-encoding on an input string. :type value: str :rytpe: str """ if value is None: return None return percent_encode(value) def parse_url(self, value): """Parse a URL string into components. :type value: str :rtype: dict """ if value is None: return None url_components = urlparse(value) try: # url_parse may assign non-integer values to # `port` and will fail when accessed. url_components.port except ValueError: return None scheme = url_components.scheme query = url_components.query # URLs with queries are not supported if scheme not in ("https", "http") or len(query) > 0: return None path = url_components.path normalized_path = quote(normalize_url_path(path)) if not normalized_path.endswith("/"): normalized_path = f"{normalized_path}/" return { "scheme": scheme, "authority": url_components.netloc, "path": path, "normalizedPath": normalized_path, "isIp": is_valid_ipv4_endpoint_url(value) or is_valid_ipv6_endpoint_url(value), } def boolean_equals(self, value1, value2): """Evaluates two boolean values for equality. :type value1: bool :type value2: bool :rtype: bool """ if not all(isinstance(val, bool) for val in (value1, value2)): msg = f"Both arguments must be bools, not {type(value1)} and {type(value2)}." raise EndpointResolutionError(msg=msg) return value1 is value2 def is_ascii(self, value): """Evaluates if a string only contains ASCII characters. :type value: str :rtype: bool """ try: value.encode("ascii") return True except UnicodeEncodeError: return False def substring(self, value, start, stop, reverse): """Computes a substring given the start index and end index. If `reverse` is True, slice the string from the end instead. :type value: str :type start: int :type end: int :type reverse: bool :rtype: str """ if not isinstance(value, str): msg = f"Input must be a string, not {type(value)}." raise EndpointResolutionError(msg=msg) if start >= stop or len(value) < stop or not self.is_ascii(value): return None if reverse is True: r_start = len(value) - stop r_stop = len(value) - start return value[r_start:r_stop] return value[start:stop] def _not(self, value): """A function implementation of the logical operator `not`. :type value: Any :rtype: bool """ return not value def aws_is_virtual_hostable_s3_bucket(self, value, allow_subdomains): """Evaluates whether a value is a valid bucket name for virtual host style bucket URLs. To pass, the value must meet the following criteria: 1. is_valid_host_label(value) is True 2. length between 3 and 63 characters (inclusive) 3. does not contain uppercase characters 4. is not formatted as an IP address If allow_subdomains is True, split on `.` and validate each component separately. :type value: str :type allow_subdomains: bool :rtype: bool """ if ( value is None or len(value) < 3 or value.lower() != value or IPV4_RE.match(value) is not None ): return False if allow_subdomains is True: return all( self.aws_is_virtual_hostable_s3_bucket(label, False) for label in value.split(".") ) return self.is_valid_host_label(value, allow_subdomains=False) # maintains backwards compatibility as `Library` was misspelled # in earlier versions RuleSetStandardLibary = RuleSetStandardLibrary class BaseRule: """Base interface for individual endpoint rules.""" def __init__(self, conditions, documentation=None): self.conditions = conditions self.documentation = documentation def evaluate(self, scope_vars, rule_lib): raise NotImplementedError() def evaluate_conditions(self, scope_vars, rule_lib): """Determine if all conditions in a rule are met. :type scope_vars: dict :type rule_lib: RuleSetStandardLibrary :rtype: bool """ for func_signature in self.conditions: result = rule_lib.call_function(func_signature, scope_vars) if result is False or result is None: return False return True class RuleSetEndpoint(NamedTuple): """A resolved endpoint object returned by a rule.""" url: str properties: dict headers: dict class EndpointRule(BaseRule): def __init__(self, endpoint, **kwargs): super().__init__(**kwargs) self.endpoint = endpoint def evaluate(self, scope_vars, rule_lib): """Determine if conditions are met to provide a valid endpoint. :type scope_vars: dict :rtype: RuleSetEndpoint """ if self.evaluate_conditions(scope_vars, rule_lib): url = rule_lib.resolve_value(self.endpoint["url"], scope_vars) properties = self.resolve_properties( self.endpoint.get("properties", {}), scope_vars, rule_lib, ) headers = self.resolve_headers(scope_vars, rule_lib) return RuleSetEndpoint( url=url, properties=properties, headers=headers ) return None def resolve_properties(self, properties, scope_vars, rule_lib): """Traverse `properties` attribute, resolving any template strings. :type properties: dict/list/str :type scope_vars: dict :type rule_lib: RuleSetStandardLibrary :rtype: dict """ if isinstance(properties, list): return [ self.resolve_properties(prop, scope_vars, rule_lib) for prop in properties ] elif isinstance(properties, dict): return { key: self.resolve_properties(value, scope_vars, rule_lib) for key, value in properties.items() } elif rule_lib.is_template(properties): return rule_lib.resolve_template_string(properties, scope_vars) return properties def resolve_headers(self, scope_vars, rule_lib): """Iterate through headers attribute resolving all values. :type scope_vars: dict :type rule_lib: RuleSetStandardLibrary :rtype: dict """ resolved_headers = {} headers = self.endpoint.get("headers", {}) for header, values in headers.items(): resolved_headers[header] = [ rule_lib.resolve_value(item, scope_vars) for item in values ] return resolved_headers class ErrorRule(BaseRule): def __init__(self, error, **kwargs): super().__init__(**kwargs) self.error = error def evaluate(self, scope_vars, rule_lib): """If an error rule's conditions are met, raise an error rule. :type scope_vars: dict :type rule_lib: RuleSetStandardLibrary :rtype: EndpointResolutionError """ if self.evaluate_conditions(scope_vars, rule_lib): error = rule_lib.resolve_value(self.error, scope_vars) raise EndpointResolutionError(msg=error) return None class TreeRule(BaseRule): """A tree rule is non-terminal meaning it will never be returned to a provider. Additionally this means it has no attributes that need to be resolved. """ def __init__(self, rules, **kwargs): super().__init__(**kwargs) self.rules = [RuleCreator.create(**rule) for rule in rules] def evaluate(self, scope_vars, rule_lib): """If a tree rule's conditions are met, iterate its sub-rules and return first result found. :type scope_vars: dict :type rule_lib: RuleSetStandardLibrary :rtype: RuleSetEndpoint/EndpointResolutionError """ if self.evaluate_conditions(scope_vars, rule_lib): for rule in self.rules: # don't share scope_vars between rules rule_result = rule.evaluate(scope_vars.copy(), rule_lib) if rule_result: return rule_result return None class RuleCreator: endpoint = EndpointRule error = ErrorRule tree = TreeRule @classmethod def create(cls, **kwargs): """Create a rule instance from metadata. :rtype: TreeRule/EndpointRule/ErrorRule """ rule_type = kwargs.pop("type") try: rule_class = getattr(cls, rule_type) except AttributeError: raise EndpointResolutionError( msg=f"Unknown rule type: {rule_type}. A rule must " "be of type tree, endpoint or error." ) else: return rule_class(**kwargs) class ParameterType(Enum): """Translation from `type` attribute to native Python type.""" string = str boolean = bool class ParameterDefinition: """The spec of an individual parameter defined in a RuleSet.""" def __init__( self, name, parameter_type, documentation=None, builtIn=None, default=None, required=None, deprecated=None, ): self.name = name try: self.parameter_type = getattr( ParameterType, parameter_type.lower() ).value except AttributeError: raise EndpointResolutionError( msg=f"Unknown parameter type: {parameter_type}. " "A parameter must be of type string or boolean." ) self.documentation = documentation self.builtin = builtIn self.default = default self.required = required self.deprecated = deprecated def validate_input(self, value): """Perform base validation on parameter input. :type value: Any :raises: EndpointParametersError """ if not isinstance(value, self.parameter_type): raise EndpointResolutionError( msg=f"Value ({self.name}) is the wrong " f"type. Must be {self.parameter_type}." ) if self.deprecated is not None: depr_str = f"{self.name} has been deprecated." msg = self.deprecated.get("message") since = self.deprecated.get("since") if msg: depr_str += f"\n{msg}" if since: depr_str += f"\nDeprecated since {since}." logger.info(depr_str) return None def process_input(self, value): """Process input against spec, applying default if value is None.""" if value is None: if self.default is not None: return self.default if self.required: raise EndpointResolutionError( f"Cannot find value for required parameter {self.name}" ) # in all other cases, the parameter will keep the value None else: self.validate_input(value) return value class RuleSet: """Collection of rules to derive a routable service endpoint.""" def __init__( self, version, parameters, rules, partitions, documentation=None ): self.version = version self.parameters = self._ingest_parameter_spec(parameters) self.rules = [RuleCreator.create(**rule) for rule in rules] self.rule_lib = RuleSetStandardLibrary(partitions) self.documentation = documentation def _ingest_parameter_spec(self, parameters): return { name: ParameterDefinition( name, spec["type"], spec.get("documentation"), spec.get("builtIn"), spec.get("default"), spec.get("required"), spec.get("deprecated"), ) for name, spec in parameters.items() } def process_input_parameters(self, input_params): """Process each input parameter against its spec. :type input_params: dict """ for name, spec in self.parameters.items(): value = spec.process_input(input_params.get(name)) if value is not None: input_params[name] = value return None def evaluate(self, input_parameters): """Evaluate input parameters against rules returning first match. :type input_parameters: dict """ self.process_input_parameters(input_parameters) for rule in self.rules: evaluation = rule.evaluate(input_parameters.copy(), self.rule_lib) if evaluation is not None: return evaluation return None class EndpointProvider: """Derives endpoints from a RuleSet for given input parameters.""" def __init__(self, ruleset_data, partition_data): self.ruleset = RuleSet(**ruleset_data, partitions=partition_data) @lru_cache(maxsize=CACHE_SIZE) def resolve_endpoint(self, **input_parameters): """Match input parameters to a rule. :type input_parameters: dict :rtype: RuleSetEndpoint """ params_for_error = input_parameters.copy() endpoint = self.ruleset.evaluate(input_parameters) if endpoint is None: param_string = "\n".join( [f"{key}: {value}" for key, value in params_for_error.items()] ) raise EndpointResolutionError( msg=f"No endpoint found for parameters:\n{param_string}" ) return endpoint