def count_documents_by_filter(filter: dict) -> int
- applies a filter and counts the documents that matched it.
def count_unique_metadata_by_filter(filters: dict[str, Any], metadata_fields: list[str]) -> dict[str, int]`
- applies a filter selecting documents and counts the unique values for each meta field of the matched documents
def get_metadata_fields_info() -> dict[str, dict]
- returns the meta fields and the corresponding types, it should return the same format as in the
OpenSearchDocumentStore
{
'content': {'type': 'text'},
'category': {'type': 'keyword'},
'status': {'type': 'keyword'},
'priority': {'type': 'long'},
}
def get_metadata_field_min_max(metadata_field: str) -> dict[str, Any]
- for a given metadata field, find its max and min value
def get_metadata_field_unique_values(metadata_field: str, search_term: str | None, from_: int, size: int) -> tuple[list[str], int]:
- retrieves unique values for a field matching a search_term or all possible values if no search term is given
def query_sql(query: str)
- (optional) issue an SQL query for the doc stores that support it
OpenSearchDocumentStore{ 'content': {'type': 'text'}, 'category': {'type': 'keyword'}, 'status': {'type': 'keyword'}, 'priority': {'type': 'long'}, }