from cde_benchmark.embedders.sentence_transformer_embedder import (
    SentenceTransformerEmbedder,
)
from sentence_transformers import SentenceTransformer

from cde_benchmark.embedders.jina_late_chunking_embedder import LateChunkingEmbedder
from cde_benchmark.formatters.data_formatter import DataFormatter, BEIRDataFormatter


# Values
DATASET_NAME = "illuin-cde/tech-qa"

MODEL_NAME = "nomic-ai/modernbert-embed-base"
model = SentenceTransformer(MODEL_NAME)
model._modules[
    "0"
].auto_model.config.reference_compile = False  # hacky but necessary for the moment


formatter = DataFormatter(DATASET_NAME, "train")
# formatter = BEIRDataFormatter("zeta-alpha-ai/NanoClimateFEVER", "train")

# Non-nested
embedder = SentenceTransformerEmbedder(model) if True else LateChunkingEmbedder(model)

metrics = embedder.compute_metrics_e2e(formatter)
print(metrics)