Version: latest
agrag.common.data_models.candidate_review.CandidateGroup
Bases: BaseModel
A deduplicated group of candidate nodes in one review state.
Attributes:
- key (
str) – Stable key shared by the grouped candidate nodes. - state (
CandidateState) – Current review state. - count (
int) – Total sightings represented by the group. - ids (
list[UUID]) – Candidate node identifiers in the group. - candidate (
CandidateRecord) – Representative candidate record. - chunk_ids (
list[UUID]) – Source chunk identifiers, when available. - document_count (
int) – Number of documents represented by the group.
Functions:
- from_row – Build a group from a candidate-listing result row.
candidate
candidate: CandidateRecord
chunk_ids
chunk_ids: list[UUID] = Field(default_factory=list)
count
count: int
document_count
document_count: int = 0
from_row
from_row(row:Mapping[str, Any]) -> CandidateGroup
Build a group from a candidate-listing result row.
The row may contain a nested candidate record or candidate fields at the top level. Aggregate count and confidence values are applied to the representative record.
Parameters:
- row (
Mapping[str, Any]) – Flat graph result row with a key, state, count, and ids.
Returns:
CandidateGroup– Validated group with UUID identifiers.
Raises:
KeyError– If a required result field is missing.ValueError– If an identifier or candidate field is invalid.
ids
ids: list[UUID]
key
key: str
state
state: CandidateState