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"""LexModelsV2Backend class with methods for supported APIs."""
import uuid
from datetime import datetime
from typing import Any, Optional
from moto.core.base_backend import BackendDict, BaseBackend
from ..utilities.tagging_service import TaggingService
class FakeBot:
failure_reasons: list[str]
def __init__(
self,
account_id: str,
region_name: str,
bot_name: str,
description: str,
role_arn: str,
data_privacy: Optional[dict[str, Any]],
idle_session_ttl_in_seconds: int,
bot_type: str,
bot_members: Optional[dict[str, Any]],
):
self.account_id = account_id
self.region_name = region_name
self.id = str(uuid.uuid4())
self.bot_name = bot_name
self.description = description
self.role_arn = role_arn
self.data_privacy = data_privacy
self.idle_session_ttl_in_seconds = idle_session_ttl_in_seconds
self.bot_type = bot_type
self.bot_members = bot_members
self.status = "CREATING"
self.creation_date_time = datetime.now().isoformat()
self.last_updated_date_time = datetime.now().isoformat()
self.failure_reasons = []
self.arn = self._generate_arn()
def _generate_arn(self) -> str:
return f"arn:aws:lex:{self.region_name}:{self.account_id}:bot/{self.id}"
class FakeBotAlias:
parent_bot_networks: list[str]
history_events: list[str]
def __init__(
self,
account_id: str,
region_name: str,
bot_alias_name: str,
description: str,
bot_version: str,
bot_alias_locale_settings: Optional[dict[str, Any]],
conversation_log_settings: Optional[dict[str, Any]],
sentiment_analysis_settings: Optional[dict[str, Any]],
bot_id: str,
):
self.account_id = account_id
self.region_name = region_name
self.id = str(uuid.uuid4())
self.bot_alias_name = bot_alias_name
self.description = description
self.bot_version = bot_version
self.bot_alias_locale_settings = bot_alias_locale_settings
self.conversation_log_settings = conversation_log_settings
self.sentiment_analysis_settings = sentiment_analysis_settings
self.status = "CREATING"
self.bot_id = bot_id
self.creation_date_time = datetime.now().isoformat()
self.last_updated_date_time = datetime.now().isoformat()
self.parent_bot_networks = []
self.history_events = []
self.arn = self._generate_arn()
def _generate_arn(self) -> str:
return f"arn:aws:lex:{self.region_name}:{self.account_id}:bot-alias/${self.bot_id}/${self.id}"
class FakeResourcePolicy:
def __init__(self, resource_arn: str, policy: str):
self.resource_arn = resource_arn
self.policy = policy
self.revision_id = str(uuid.uuid4())
class LexModelsV2Backend(BaseBackend):
"""Implementation of LexModelsV2 APIs."""
def __init__(self, region_name: str, account_id: str):
super().__init__(region_name, account_id)
self.bots: dict[str, FakeBot] = {}
self.bot_aliases: dict[str, FakeBotAlias] = {}
self.resource_policies: dict[str, FakeResourcePolicy] = {}
self.tagger = TaggingService()
def create_bot(
self,
bot_name: str,
description: str,
role_arn: str,
data_privacy: Optional[dict[str, Any]],
idle_session_ttl_in_seconds: int,
bot_tags: Optional[dict[str, str]],
test_bot_alias_tags: Optional[dict[str, str]],
bot_type: str,
bot_members: Optional[dict[str, Any]],
) -> dict[str, Any]:
bot = FakeBot(
account_id=self.account_id,
region_name=self.region_name,
bot_name=bot_name,
description=description,
role_arn=role_arn,
data_privacy=data_privacy,
idle_session_ttl_in_seconds=idle_session_ttl_in_seconds,
bot_type=bot_type,
bot_members=bot_members,
)
self.bots[bot.id] = bot
if bot_tags:
self.tag_resource(bot.arn, bot_tags)
test_alias = FakeBotAlias(
account_id=self.account_id,
region_name=self.region_name,
bot_alias_name="test",
description="test",
bot_version="1",
bot_alias_locale_settings={},
conversation_log_settings={},
sentiment_analysis_settings={},
bot_id=bot.id,
)
self.bot_aliases[test_alias.id] = test_alias
return {
"botId": bot.id,
"botName": bot.bot_name,
"description": bot.description,
"roleArn": bot.role_arn,
"dataPrivacy": bot.data_privacy,
"idleSessionTTLInSeconds": bot.idle_session_ttl_in_seconds,
"botStatus": bot.status,
"creationDateTime": bot.creation_date_time,
"botTags": self.list_tags_for_resource(bot.arn),
"testBotAliasTags": test_bot_alias_tags,
"botType": bot.bot_type,
"botMembers": bot.bot_members,
}
def describe_bot(self, bot_id: str) -> dict[str, Any]:
bot = self.bots[bot_id]
return {
"botId": bot.id,
"botName": bot.bot_name,
"description": bot.description,
"roleArn": bot.role_arn,
"dataPrivacy": bot.data_privacy,
"idleSessionTTLInSeconds": bot.idle_session_ttl_in_seconds,
"botStatus": bot.status,
"creationDateTime": bot.creation_date_time,
"lastUpdatedDateTime": bot.last_updated_date_time,
"botType": bot.bot_type,
"botMembers": bot.bot_members,
"failureReasons": bot.failure_reasons,
}
def update_bot(
self,
bot_id: str,
bot_name: str,
description: str,
role_arn: str,
data_privacy: Optional[dict[str, Any]],
idle_session_ttl_in_seconds: int,
bot_type: str,
bot_members: Optional[dict[str, Any]],
) -> dict[str, Any]:
bot = self.bots[bot_id]
bot.bot_name = bot_name
bot.description = description
bot.role_arn = role_arn
bot.data_privacy = data_privacy
bot.idle_session_ttl_in_seconds = idle_session_ttl_in_seconds
bot.bot_type = bot_type
bot.bot_members = bot_members
bot.last_updated_date_time = datetime.now().isoformat()
return {
"botId": bot.id,
"botName": bot.bot_name,
"description": bot.description,
"roleArn": bot.role_arn,
"dataPrivacy": bot.data_privacy,
"idleSessionTTLInSeconds": bot.idle_session_ttl_in_seconds,
"botStatus": bot.status,
"creationDateTime": bot.creation_date_time,
"lastUpdatedDateTime": bot.last_updated_date_time,
"botType": bot.bot_type,
"botMembers": bot.bot_members,
}
def list_bots(self) -> list[dict[str, Any]]:
bot_summaries = [
{
"botId": bot.id,
"botName": bot.bot_name,
"description": bot.description,
"botStatus": bot.status,
"latestBotVersion": 1,
"lastUpdatedDateTime": bot.last_updated_date_time,
"botType": bot.bot_type,
}
for bot in self.bots.values()
]
return bot_summaries
def delete_bot(
self, bot_id: str, skip_resource_in_use_check: bool
) -> tuple[str, str]:
bot = self.bots.pop(bot_id)
return bot.id, bot.status
def create_bot_alias(
self,
bot_alias_name: str,
description: str,
bot_version: str,
bot_alias_locale_settings: Optional[dict[str, Any]],
conversation_log_settings: Optional[dict[str, Any]],
sentiment_analysis_settings: Optional[dict[str, Any]],
bot_id: str,
tags: Optional[dict[str, str]],
) -> dict[str, Any]:
bot_alias = FakeBotAlias(
self.account_id,
self.region_name,
bot_alias_name,
description,
bot_version,
bot_alias_locale_settings,
conversation_log_settings,
sentiment_analysis_settings,
bot_id,
)
self.bot_aliases[bot_alias.id] = bot_alias
if tags:
self.tag_resource(bot_alias.arn, tags)
return {
"botAliasId": bot_alias.id,
"botAliasName": bot_alias.bot_alias_name,
"description": bot_alias.description,
"botVersion": bot_alias.bot_version,
"botAliasLocaleSettings": bot_alias.bot_alias_locale_settings,
"conversationLogSettings": bot_alias.conversation_log_settings,
"sentimentAnalysisSettings": bot_alias.sentiment_analysis_settings,
"botAliasStatus": bot_alias.status,
"creationDateTime": bot_alias.creation_date_time,
"botId": bot_alias.bot_id,
"tags": self.list_tags_for_resource(bot_alias.arn),
}
def describe_bot_alias(self, bot_alias_id: str, bot_id: str) -> dict[str, Any]:
ba = self.bot_aliases[bot_alias_id]
return {
"botAliasId": ba.id,
"botAliasName": ba.bot_alias_name,
"description": ba.description,
"botVersion": ba.bot_version,
"botAliasLocaleSettings": ba.bot_alias_locale_settings,
"conversationLogSettings": ba.conversation_log_settings,
"sentimentAnalysisSettings": ba.sentiment_analysis_settings,
"botAliasHistoryEvents": ba.history_events,
"botAliasStatus": ba.status,
"botId": ba.bot_id,
"creationDateTime": ba.creation_date_time,
"lastUpdatedDateTime": ba.last_updated_date_time,
"parentBotNetworks": ba.parent_bot_networks,
}
def update_bot_alias(
self,
bot_alias_id: str,
bot_alias_name: str,
description: str,
bot_version: str,
bot_alias_locale_settings: Optional[dict[str, Any]],
conversation_log_settings: Optional[dict[str, Any]],
sentiment_analysis_settings: Optional[dict[str, Any]],
bot_id: str,
) -> dict[str, Any]:
ba = self.bot_aliases[bot_alias_id]
ba.bot_alias_name = bot_alias_name
ba.description = description
ba.bot_version = bot_version
ba.bot_alias_locale_settings = bot_alias_locale_settings
ba.conversation_log_settings = conversation_log_settings
ba.sentiment_analysis_settings = sentiment_analysis_settings
ba.bot_id = bot_id
ba.last_updated_date_time = datetime.now().isoformat()
return {
"botAliasId": ba.id,
"botAliasName": ba.bot_alias_name,
"description": ba.description,
"botVersion": ba.bot_version,
"botAliasLocaleSettings": ba.bot_alias_locale_settings,
"conversationLogSettings": ba.conversation_log_settings,
"sentimentAnalysisSettings": ba.sentiment_analysis_settings,
"botAliasStatus": ba.status,
"botId": ba.bot_id,
"creationDateTime": ba.creation_date_time,
"lastUpdatedDateTime": ba.last_updated_date_time,
}
def list_bot_aliases(
self, bot_id: str, max_results: int
) -> tuple[list[dict[str, Any]], Optional[str]]:
bot_alias_summaries = [
{
"botAliasId": ba.id,
"botAliasName": ba.bot_alias_name,
"description": ba.description,
"botVersion": ba.bot_version,
"botAliasStatus": ba.status,
"creationDateTime": ba.creation_date_time,
"lastUpdatedDateTime": ba.last_updated_date_time,
}
for ba in self.bot_aliases.values()
]
return bot_alias_summaries, bot_id
def delete_bot_alias(
self, bot_alias_id: str, bot_id: str, skip_resource_in_use_check: bool
) -> tuple[str, str, str]:
ba = self.bot_aliases.pop(bot_alias_id)
return ba.id, ba.bot_id, ba.status
def create_resource_policy(self, resource_arn: str, policy: str) -> tuple[str, str]:
rp = FakeResourcePolicy(resource_arn, policy)
self.resource_policies[rp.resource_arn] = rp
return rp.resource_arn, rp.revision_id
def describe_resource_policy(self, resource_arn: str) -> tuple[str, str, str]:
rp = self.resource_policies[resource_arn]
return rp.resource_arn, rp.policy, rp.revision_id
def update_resource_policy(
self, resource_arn: str, policy: str, expected_revision_id: str
) -> tuple[str, str]:
rp = self.resource_policies[resource_arn]
if expected_revision_id != rp.revision_id:
raise Exception("Revision ID mismatch")
rp.policy = policy
rp.revision_id = str(uuid.uuid4())
return rp.resource_arn, rp.revision_id
def delete_resource_policy(
self, resource_arn: str, expected_revision_id: str
) -> tuple[str, str]:
rp = self.resource_policies[resource_arn]
if expected_revision_id != rp.revision_id:
raise Exception("Revision ID mismatch")
rp = self.resource_policies.pop(resource_arn)
return rp.resource_arn, rp.revision_id
def tag_resource(self, resource_arn: str, tags: dict[str, str]) -> None:
tags_list = [{"Key": k, "Value": v} for k, v in tags.items()]
self.tagger.tag_resource(resource_arn, tags_list)
def untag_resource(self, resource_arn: str, tag_keys: list[str]) -> None:
self.tagger.untag_resource_using_names(resource_arn, tag_keys)
def list_tags_for_resource(self, resource_arn: str) -> dict[str, str]:
return self.tagger.get_tag_dict_for_resource(resource_arn)
lexv2models_backends = BackendDict(LexModelsV2Backend, "lexv2-models")
|
