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from collections.abc import Iterable
from typing import Any
from moto.core.base_backend import BackendDict, BaseBackend
from moto.core.common_models import BaseModel
from moto.core.utils import unix_time
from moto.utilities.tagging_service import TaggingService
from moto.utilities.utils import get_partition
from .exceptions import ResourceNotFound
class TimestreamTable(BaseModel):
def __init__(
self,
account_id: str,
region_name: str,
table_name: str,
db_name: str,
retention_properties: dict[str, int],
magnetic_store_write_properties: dict[str, Any],
schema: dict[str, Any],
):
self.region_name = region_name
self.name = table_name
self.db_name = db_name
self.retention_properties = retention_properties or {
"MemoryStoreRetentionPeriodInHours": 6,
"MagneticStoreRetentionPeriodInDays": 73000,
}
self.magnetic_store_write_properties = magnetic_store_write_properties or {}
self.schema = schema or {
"CompositePartitionKey": [
{
"Type": "MEASURE",
"Name": "",
"EnforcementInRecord": "",
}
]
}
self.records: list[dict[str, Any]] = []
self.arn = f"arn:{get_partition(self.region_name)}:timestream:{self.region_name}:{account_id}:database/{self.db_name}/table/{self.name}"
def update(
self,
retention_properties: dict[str, int],
magnetic_store_write_properties: dict[str, Any],
schema: dict[str, Any],
) -> None:
self.retention_properties = retention_properties
if magnetic_store_write_properties is not None:
self.magnetic_store_write_properties = magnetic_store_write_properties
if schema is not None:
self.schema = schema
def write_records(self, records: list[dict[str, Any]]) -> None:
self.records.extend(records)
def description(self) -> dict[str, Any]:
return {
"Arn": self.arn,
"TableName": self.name,
"DatabaseName": self.db_name,
"TableStatus": "ACTIVE",
"RetentionProperties": self.retention_properties,
"MagneticStoreWriteProperties": self.magnetic_store_write_properties,
"Schema": self.schema,
}
class TimestreamDatabase(BaseModel):
def __init__(
self, account_id: str, region_name: str, database_name: str, kms_key_id: str
):
self.account_id = account_id
self.region_name = region_name
self.name = database_name
self.kms_key_id = (
kms_key_id
or f"arn:{get_partition(region_name)}:kms:{region_name}:{account_id}:key/default_key"
)
self.arn = f"arn:{get_partition(self.region_name)}:timestream:{self.region_name}:{account_id}:database/{self.name}"
self.created_on = unix_time()
self.updated_on = unix_time()
self.tables: dict[str, TimestreamTable] = {}
def update(self, kms_key_id: str) -> None:
self.kms_key_id = kms_key_id
def create_table(
self,
table_name: str,
retention_properties: dict[str, int],
magnetic_store_write_properties: dict[str, Any],
schema: dict[str, Any],
) -> TimestreamTable:
table = TimestreamTable(
account_id=self.account_id,
region_name=self.region_name,
table_name=table_name,
db_name=self.name,
retention_properties=retention_properties,
magnetic_store_write_properties=magnetic_store_write_properties,
schema=schema,
)
self.tables[table_name] = table
return table
def update_table(
self,
table_name: str,
retention_properties: dict[str, int],
magnetic_store_write_properties: dict[str, Any],
schema: dict[str, Any],
) -> TimestreamTable:
table = self.tables[table_name]
table.update(
retention_properties=retention_properties,
magnetic_store_write_properties=magnetic_store_write_properties,
schema=schema,
)
return table
def delete_table(self, table_name: str) -> None:
self.tables.pop(table_name, None)
def describe_table(self, table_name: str) -> TimestreamTable:
if table_name not in self.tables:
raise ResourceNotFound(f"The table {table_name} does not exist.")
return self.tables[table_name]
def list_tables(self) -> Iterable[TimestreamTable]:
return self.tables.values()
def description(self) -> dict[str, Any]:
return {
"Arn": self.arn,
"DatabaseName": self.name,
"TableCount": len(self.tables.keys()),
"KmsKeyId": self.kms_key_id,
"CreationTime": self.created_on,
"LastUpdatedTime": self.updated_on,
}
class TimestreamWriteBackend(BaseBackend):
"""
When using the decorators, you can use the following internal API to verify records have arrived:
.. sourcecode:: python
from moto.core import DEFAULT_ACCOUNT_ID as ACCOUNT_ID
from moto.timestreamwrite.models import timestreamwrite_backends
backend = timestreamwrite_backends[ACCOUNT_ID]["us-east-1"]
records = backend.databases["mydatabase"].tables["mytable"].records
"""
def __init__(self, region_name: str, account_id: str):
super().__init__(region_name, account_id)
self.databases: dict[str, TimestreamDatabase] = {}
self.tagging_service = TaggingService()
def create_database(
self, database_name: str, kms_key_id: str, tags: list[dict[str, str]]
) -> TimestreamDatabase:
database = TimestreamDatabase(
self.account_id, self.region_name, database_name, kms_key_id
)
self.databases[database_name] = database
self.tagging_service.tag_resource(database.arn, tags)
return database
def delete_database(self, database_name: str) -> None:
del self.databases[database_name]
def describe_database(self, database_name: str) -> TimestreamDatabase:
if database_name not in self.databases:
raise ResourceNotFound(f"The database {database_name} does not exist.")
return self.databases[database_name]
def list_databases(self) -> Iterable[TimestreamDatabase]:
return self.databases.values()
def update_database(
self, database_name: str, kms_key_id: str
) -> TimestreamDatabase:
database = self.databases[database_name]
database.update(kms_key_id=kms_key_id)
return database
def create_table(
self,
database_name: str,
table_name: str,
retention_properties: dict[str, int],
tags: list[dict[str, str]],
magnetic_store_write_properties: dict[str, Any],
schema: dict[str, Any],
) -> TimestreamTable:
database = self.describe_database(database_name)
table = database.create_table(
table_name,
retention_properties,
magnetic_store_write_properties,
schema,
)
self.tagging_service.tag_resource(table.arn, tags)
return table
def delete_table(self, database_name: str, table_name: str) -> None:
database = self.describe_database(database_name)
database.delete_table(table_name)
def describe_table(self, database_name: str, table_name: str) -> TimestreamTable:
database = self.describe_database(database_name)
return database.describe_table(table_name)
def list_tables(self, database_name: str) -> Iterable[TimestreamTable]:
if database_name is None:
tables = (
table for db in self.list_databases() for table in db.list_tables()
)
else:
database = self.describe_database(database_name)
tables = database.list_tables()
return tables
def update_table(
self,
database_name: str,
table_name: str,
retention_properties: dict[str, int],
magnetic_store_write_properties: dict[str, Any],
schema: dict[str, Any],
) -> TimestreamTable:
database = self.describe_database(database_name)
return database.update_table(
table_name,
retention_properties,
magnetic_store_write_properties,
schema,
)
def write_records(
self, database_name: str, table_name: str, records: list[dict[str, Any]]
) -> None:
database = self.describe_database(database_name)
table = database.describe_table(table_name)
table.write_records(records)
def describe_endpoints(self) -> dict[str, list[dict[str, Any]]]:
# https://docs.aws.amazon.com/timestream/latest/developerguide/Using-API.endpoint-discovery.how-it-works.html
# Usually, the address look like this:
# ingest-cell1.timestream.us-east-1.amazonaws.com
# Where 'cell1' can be any number, 'cell2', 'cell3', etc - whichever endpoint happens to be available for that particular account
# We don't implement a cellular architecture in Moto though, so let's keep it simple
return {
"Endpoints": [
{
"Address": f"ingest.timestream.{self.region_name}.amazonaws.com",
"CachePeriodInMinutes": 1440,
}
]
}
def list_tags_for_resource(
self, resource_arn: str
) -> dict[str, list[dict[str, str]]]:
return self.tagging_service.list_tags_for_resource(resource_arn)
def tag_resource(self, resource_arn: str, tags: list[dict[str, str]]) -> None:
self.tagging_service.tag_resource(resource_arn, tags)
def untag_resource(self, resource_arn: str, tag_keys: list[str]) -> None:
self.tagging_service.untag_resource_using_names(resource_arn, tag_keys)
# Boto does not return any regions at the time of writing (20/10/2021)
# Hardcoding the known regions for now
# Thanks, Jeff
timestreamwrite_backends = BackendDict(
TimestreamWriteBackend,
"timestream-write",
additional_regions=[
"us-east-1",
"us-east-2",
"us-west-2",
"eu-central-1",
"eu-west-1",
"ap-southeast-2",
"ap-northeast-1",
],
)
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