trulens.connectors.snowflake¶
trulens.connectors.snowflake
¶
Additional Dependency Required
To use this module, you must have the trulens-connectors-snowflake
package installed.
pip install trulens-connectors-snowflake
Classes¶
SnowflakeConnector
¶
Bases: DBConnector
Connector to snowflake databases.
Attributes¶
RECORDS_BATCH_TIMEOUT_IN_SEC
class-attribute
instance-attribute
¶
RECORDS_BATCH_TIMEOUT_IN_SEC: int = 10
Time to wait before inserting a batch of records into the database.
Functions¶
migrate_database
¶
migrate_database(**kwargs: Any)
Migrates the database.
This should be run whenever there are breaking changes in a database created with an older version of trulens.
PARAMETER | DESCRIPTION |
---|---|
**kwargs
|
Keyword arguments to pass to migrate_database of the current database.
TYPE:
|
See DB.migrate_database.
add_record
¶
add_record_nowait
¶
add_record_nowait(record: Record) -> None
Add a record to the queue to be inserted in the next batch.
add_app
¶
add_app(app: AppDefinition) -> AppID
Add an app to the database and return its unique id.
PARAMETER | DESCRIPTION |
---|---|
app
|
The app to add to the database.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
AppID
|
A unique app identifier str. |
delete_app
¶
delete_app(app_id: AppID) -> None
Deletes an app from the database based on its app_id.
PARAMETER | DESCRIPTION |
---|---|
app_id
|
The unique identifier of the app to be deleted.
TYPE:
|
add_feedback_definition
¶
add_feedback_definition(
feedback_definition: FeedbackDefinition,
) -> FeedbackDefinitionID
Add a feedback definition to the database and return its unique id.
PARAMETER | DESCRIPTION |
---|---|
feedback_definition
|
The feedback definition to add to the database.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
FeedbackDefinitionID
|
A unique feedback definition identifier str. |
add_feedback
¶
add_feedback(
feedback_result_or_future: Optional[
Union[FeedbackResult, Future[FeedbackResult]]
] = None,
**kwargs: Any
) -> FeedbackResultID
Add a single feedback result or future to the database and return its unique id.
PARAMETER | DESCRIPTION |
---|---|
feedback_result_or_future
|
If a Future
is given, call will wait for the result before adding it to the
database. If
TYPE:
|
**kwargs
|
Fields to add to the given feedback result or to create a new FeedbackResult with.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
FeedbackResultID
|
A unique result identifier str. |
add_feedbacks
¶
add_feedbacks(
feedback_results: Iterable[
Union[FeedbackResult, Future[FeedbackResult]]
]
) -> List[FeedbackResultID]
Add multiple feedback results to the database and return their unique ids.
PARAMETER | DESCRIPTION |
---|---|
feedback_results
|
An iterable with each iteration being a FeedbackResult or Future of the same. Each given future will be waited.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
List[FeedbackResultID]
|
List of unique result identifiers str in the same order as input
|
get_app
¶
get_app(app_id: AppID) -> Optional[JSONized[AppDefinition]]
Look up an app from the database.
This method produces the JSON-ized version of the app. It can be deserialized back into an AppDefinition with model_validate:
Example
from trulens.core.schema import app
app_json = session.get_app(app_id="Custom Application v1")
app = app.AppDefinition.model_validate(app_json)
Warning
Do not rely on deserializing into App as its implementations feature attributes not meant to be deserialized.
PARAMETER | DESCRIPTION |
---|---|
app_id
|
The unique identifier str of the app to look up.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
Optional[JSONized[AppDefinition]]
|
JSON-ized version of the app. |
get_apps
¶
get_apps() -> List[JSONized[AppDefinition]]
Look up all apps from the database.
RETURNS | DESCRIPTION |
---|---|
List[JSONized[AppDefinition]]
|
A list of JSON-ized version of all apps in the database. |
Warning
Same Deserialization caveats as get_app.
get_records_and_feedback
¶
get_records_and_feedback(
app_ids: Optional[List[AppID]] = None,
offset: Optional[int] = None,
limit: Optional[int] = None,
) -> Tuple[DataFrame, List[str]]
Get records, their feedback results, and feedback names.
PARAMETER | DESCRIPTION |
---|---|
app_ids
|
A list of app ids to filter records by. If empty or not given, all apps' records will be returned. |
offset
|
Record row offset. |
limit
|
Limit on the number of records to return. |
RETURNS | DESCRIPTION |
---|---|
DataFrame
|
DataFrame of records with their feedback results. |
List[str]
|
List of feedback names that are columns in the DataFrame. |
get_leaderboard
¶
get_leaderboard(
app_ids: Optional[List[AppID]] = None,
group_by_metadata_key: Optional[str] = None,
limit: Optional[int] = None,
offset: Optional[int] = None,
) -> DataFrame
Get a leaderboard for the given apps.
PARAMETER | DESCRIPTION |
---|---|
app_ids
|
A list of app ids to filter records by. If empty or not given, all apps will be included in leaderboard. |
group_by_metadata_key
|
A key included in record metadata that you want to group results by. |
limit
|
Limit on the number of records to aggregate to produce the leaderboard. |
offset
|
Record row offset to select which records to use to aggregate the leaderboard. |
RETURNS | DESCRIPTION |
---|---|
DataFrame
|
DataFrame of apps with their feedback results aggregated. |
DataFrame
|
If group_by_metadata_key is provided, the DataFrame will be grouped by the specified key. |