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 11, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
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Requires

Python >=3.14

Provides Extra

bigquery dev redshift snowflake

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