add code to filter peaks

src/depiction_targeted_preproc/workflow/proc/filter_peaks.py

@@ -0,0 +1,41 @@
+from pathlib import Path
+from typing import Annotated
+
+import typer
+from typer import Option
+
+from depiction.parallel_ops import ParallelConfig, WriteSpectraParallel
+from depiction.persistence import ImzmlReadFile, ImzmlWriteFile, ImzmlReader, ImzmlWriter, ImzmlModeEnum
+from depiction.spectrum.peak_filtering import FilterNHighestIntensityPartitioned, PeakFilteringType
+
+
+def proc_filter_peaks(
+    input_imzml_path: Annotated[Path, Option()],
+    output_imzml_path: Annotated[Path, Option()]
+) -> None:
+    read_file = ImzmlReadFile(input_imzml_path)
+    peaks_filter = FilterNHighestIntensityPartitioned(max_count=500, n_partitions=8)
+    parallel_config = ParallelConfig(n_jobs=10)
+
+    write_file = ImzmlWriteFile(output_imzml_path, imzml_mode=ImzmlModeEnum.PROCESSED)
+
+    write_parallel = WriteSpectraParallel.from_config(parallel_config)
+    write_parallel.map_chunked_to_file(
+        read_file=read_file,
+        write_file=write_file,
+        operation=filter_chunk,
+        bind_args={
+            "peaks_filter": peaks_filter
+        }
+    )
+
+
+def filter_chunk(reader: ImzmlReader, indices: list[int], writer: ImzmlWriter, peaks_filter: PeakFilteringType) -> None:
+    for spectrum_id in indices:
+        mz_arr, int_arr, coords = reader.get_spectrum_with_coords(spectrum_id)
+        mz_arr, int_arr = peaks_filter.filter_peaks(mz_arr, int_arr, mz_arr, int_arr)
+        writer.add_spectrum(mz_arr, int_arr, coords)
+
+
+if __name__ == "__main__":
+    typer.run(proc_filter_peaks)