from .schema import Target

TARGETS = {
    'chunks': Target('Chunk', 'id', 'text', 'embedding', 'embedding', 'chunks-*.parquet', 'chunk_embedding'),
    'reschunks': Target('ResChunk', 'id', 'text', 'embedding', 'embedding', 'reschunks-*.parquet', 'res_chunk_embedding'),
    'provisions': Target('Provision', 'key', 'text', 'embedding', 'embedding', 'provisions.parquet', 'provision_embedding'),
    'cases': Target('Case', 'case_id', 'name', 'name_embedding', 'name_embedding', 'cases.parquet', 'case_name_embedding'),
    'resolutions': Target('Resolution', 'symbol', 'title', 'title_embedding', 'title_embedding', 'resolutions.parquet', 'resolution_embedding'),
}
REPO = 'VISAI-AI/icj-citation-graph'
PRETRAINED_MODEL = 'qwen/qwen3-embedding-8b'
PRETRAINED_DIMENSION = 4096