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 + the DataSourceType, DataSourceAccessMode, DataSourceStatus enums.
  • collections -- DataSourceCollection, DataSourceTableCollection, DataSourceColumnCollection, DataSourceRelationCollection, TableTemplateCollection (three-tier SchemaBackedCollection / BaseCollection subclasses with L1/L2/L3 caching + _publish_invalidation on 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-driver ConnectionConfig discriminated 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}.query carrying 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 and truncated, 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]' for RedshiftDriver
  • pip install '3tears-datasources[snowflake]' for SnowflakeDriver (stub today; full impl tracked separately)
  • pip install '3tears-datasources[bigquery]' for BigQueryDriver (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.

Project links

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  • Released:
Newer release available (0.41.4)

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Credits

Author: pace

GitHub Statistics

Data verified by PyPI on Sep 14, 2026
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License expression

MIT
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Requires

Python >=3.14

Provides Extra

bigquery dev redshift snowflake

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