feat(starrynight: modules): add segcheck algo and cli wrapper

Author: leoank

starrynight/src/starrynight/algorithms/illum_apply.py

@@ -328,12 +328,12 @@ def generate_illum_apply_pipeline(
         # save_image.root_dir.value = ""
         save_image.stack_axis.value = AXIS_T
         # save_image.tiff_compress.value = ""
-        pipeline.add_module(save_image)
 
         if not for_sbs:
             save_image.single_file_name.value = f"\\g<Batch>_\\g<Plate>_Well_\\g<Well>_Site_\\g<Site>_{col.replace('Orig', 'Corr')}"
         else:
             save_image.single_file_name.value = f"\\g<Batch>_\\g<Plate>_\\g<Cycle>_Well_\\g<Well>_Site_\\g<Site>_{col.replace('Orig', 'Corr')}"
+        pipeline.add_module(save_image)
     return pipeline
 
 

starrynight/src/starrynight/algorithms/presegcheck.py

@@ -213,11 +213,11 @@ def gen_pre_segcheck_load_data_by_batch_plate(
     if not for_sbs:
         images_df = df.filter(
             pl.col("is_sbs_image").ne(True), pl.col("is_image").eq(True)
-        )
+        ).sample(fraction=0.1)
     else:
         images_df = df.filter(
             pl.col("is_sbs_image").eq(True), pl.col("is_image").eq(True)
-        )
+        ).sample(fraction=0.1)
 
     images_hierarchy_dict = gen_image_hierarchy(images_df)
 
@@ -437,7 +437,12 @@ def generate_pre_segcheck_pipeline(
     export_measurements.delimiter.value = DELIMITER_COMMA
     export_measurements.directory.value = f"{DEFAULT_OUTPUT_FOLDER_NAME}|"
     export_measurements.wants_prefix.value = True
-    export_measurements.prefix.value = "PreSegcheck"
+    if not for_sbs:
+        export_measurements.prefix.value = "\\g<Batch>_\\g<Plate>_PreSegcheck"
+    else:
+        export_measurements.prefix.value = (
+            "\\g<Batch>_\\g<Plate>_\\g<Cycle>_PreSegcheck"
+        )
     export_measurements.wants_overwrite_without_warning.value = False
     export_measurements.add_metadata.value = False
     export_measurements.add_filepath.value = False