fix: align cli and helpers with model refactor

src/batdetect2/cli/train.py

@@ -143,7 +143,6 @@ def train_command(
     """
     from batdetect2.api_v2 import BatDetect2API
     from batdetect2.audio import AudioConfig
-    from batdetect2.config import BatDetect2Config
     from batdetect2.data import load_dataset_from_config
     from batdetect2.evaluate import EvaluationConfig
     from batdetect2.inference import InferenceConfig
@@ -196,9 +195,6 @@ def train_command(
     if target_conf is not None:
         logger.info("Loaded targets configuration.")
 
-    if model_conf is not None and target_conf is not None:
-        model_conf = model_conf.model_copy(update={"targets": target_conf})
-
     logger.info("Loading training dataset...")
     train_annotations = load_dataset_from_config(
         train_dataset,
@@ -231,26 +227,16 @@ def train_command(
         )
 
     if model_path is None:
-        conf = BatDetect2Config()
+        api = BatDetect2API.from_config(
-        if model_conf is not None:
+            model_config=model_conf,
-            conf.model = model_conf
+            targets_config=target_conf,
-        elif target_conf is not None:
+            train_config=train_conf,
-            conf.model = conf.model.model_copy(update={"targets": target_conf})
+            audio_config=audio_conf,
-
+            evaluation_config=eval_conf,
-        if train_conf is not None:
+            inference_config=inference_conf,
-            conf.train = train_conf
+            outputs_config=outputs_conf,
-        if audio_conf is not None:
+            logging_config=logging_conf,
-            conf.audio = audio_conf
+        )
-        if eval_conf is not None:
-            conf.evaluation = eval_conf
-        if inference_conf is not None:
-            conf.inference = inference_conf
-        if outputs_conf is not None:
-            conf.outputs = outputs_conf
-        if logging_conf is not None:
-            conf.logging = logging_conf
-
-        api = BatDetect2API.from_config(conf)
     else:
         api = BatDetect2API.from_checkpoint(
             model_path,

src/batdetect2/data/conditions/sound_events.py

@@ -94,7 +94,7 @@ def _build_comparator(op: Operator, value: float) -> Callable[[float], bool]:
         return partial(operator.ge, value)
 
     if op == "eq":
-        return partial(operator.eq, b=value)
+        return partial(operator.eq, value)
 
     raise ValueError(f"Invalid operator {op}")
 

src/batdetect2/logging.py

@@ -25,10 +25,7 @@ if TYPE_CHECKING:
     import numpy as np
     import pandas as pd
     from lightning.pytorch.loggers import (
-        CSVLogger,
         Logger,
-        MLFlowLogger,
-        TensorBoardLogger,
     )
     from matplotlib.figure import Figure
     from soundevent import data

src/batdetect2/models/blocks.py

@@ -53,8 +53,12 @@ import torch.nn.functional as F
 from pydantic import Field
 from torch import nn
 
-from batdetect2.core import ImportConfig, Registry, add_import_config
+from batdetect2.core import (
-from batdetect2.core.configs import BaseConfig
+    BaseConfig,
+    ImportConfig,
+    Registry,
+    add_import_config,
+)
 
 __all__ = [
     "BlockImportConfig",