3tears-datasources
Datasource entities, three-tier collections, namespace helpers, the
agent-yaml-facing DatasourceConfig, and the Driver abstraction
(plus concrete asyncpg + Redshift drivers) for the 3tears platform.
This is the single source of truth for "what is a datasource" across every 3tears consumer.
Public surface
Imported via from threetears.datasources import …:
- entities --
DataSourceEntity,DataSourceTableEntity,DataSourceColumnEntity,DataSourceRelationEntity,TableTemplateEntity+ theDataSourceType,DataSourceAccessMode,DataSourceStatusenums. - collections --
DataSourceCollection,DataSourceTableCollection,DataSourceColumnCollection,DataSourceRelationCollection,TableTemplateCollection(three-tierSchemaBackedCollection/BaseCollectionsubclasses with L1/L2/L3 caching +_publish_invalidationon save). - namespace --
DATASOURCE_NAMESPACE_TYPE,datasource_namespace_id(uuid) -> uuid,datasource_namespace_name(name) -> str. - config --
DatasourceConfig(the agent-yaml-facing model the SDK validates against) plus the per-driverConnectionConfigdiscriminated union. - query wire --
DatasourceQueryClient,DatasourceQueryRequest,DatasourceQueryResponse,DatasourceQueryResult,DatasourceQueryError. How a process that holds no warehouse credential (a tool pod) queries a hub-served datasource on its own identity: it publishes on{ns}.datasource.{name}.querycarrying its hub-minted token, the hub verifies the token, evaluates the caller's grant on the datasource namespace, runs the query on the driver it already holds, and answers with rows or a typed refusal. The client hands back the rows andtruncated, set when the hub cut the result at its row cap, so a caller deriving state from a full read can refuse a prefix rather than treat the missing rows as absent. Rows only otherwise -- the model-facing rendering with honesty imperatives is the datasource tool's job.
Drivers
The Driver ABC + create_driver(config, *, hub_l3_pool=None) factory
are the entry point. Concrete drivers are accessed via the
factory, NOT imported directly:
from threetears.datasources.drivers import create_driver
driver = create_driver(config.connection_config)
try:
rows = await driver.fetch("SELECT * FROM customers WHERE id = $1", customer_id)
finally:
await driver.close()
Driver implementations live behind extras keys:
pip install '3tears-datasources[redshift]'forRedshiftDriverpip install '3tears-datasources[snowflake]'forSnowflakeDriver(stub today; full impl tracked separately)pip install '3tears-datasources[bigquery]'forBigQueryDriver(stub today; full impl tracked separately)
Postgres / Yugabyte / agent_internal coverage uses asyncpg which is
a hard dep (no extras key required).
See IMPLEMENTING_DRIVERS.md for the contract every new driver must
satisfy.
Versioning policy
3tears-datasources versions in lockstep with the rest of the
3tears monorepo: every package shares one version, which tracks the
framework git tag (v0.9.1 at time of writing). All packages move
together.
The pyproject.toml depends on 3tears core via a compatible-release
range (3tears>=0.9.1,<1.0); because the monorepo bumps together, any
matching 0.9.x core satisfies it.
See CHANGELOG.md for the full version history.
1 maintainer
Metadata
1 maintainer
Release files for 3tears-datasources 0.56.3
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