allowed a dictionary of alterate dataset names to be given by the writer

src/pandablocks/hdf.py

@@ -80,11 +80,12 @@ class HDFWriter(Pipeline):
             per file created.
     """
 
-    def __init__(self, file_names: Iterator[str]):
+    def __init__(self, file_names: Iterator[str], dataset_names: Dict[str, str]):
         super().__init__()
         self.file_names = file_names
         self.hdf_file: Optional[h5py.File] = None
         self.datasets: List[h5py.Dataset] = []
+        self.dataset_names = dataset_names
         self.what_to_do = {
             StartData: self.open_file,
             list: self.write_frame,
@@ -101,7 +102,7 @@ def create_dataset(self, field: FieldCapture, raw: bool):
             # No processor, datatype passed through
             dtype = field.type
         return self.hdf_file.create_dataset(
-            f"/{field.name}.{field.capture}",
+            f"/{self.dataset_names.get(field.name, field.name)}.{field.capture}",
             dtype=dtype,
             shape=(0,),
             maxshape=(None,),
@@ -195,20 +196,21 @@ def scale_data(self, data: FrameData) -> List[np.ndarray]:
 
 
 def create_default_pipeline(
-    file_names: Iterator[str], *additional_downstream_pipelines: Pipeline
+    file_names: Iterator[str], dataset_names: Dict[str, str], *additional_downstream_pipelines: Pipeline
 ) -> List[Pipeline]:
     """Create the default processing pipeline consisting of one `FrameProcessor` and
     one `HDFWriter`. See `create_pipeline` for more details.
 
     Args:
         file_names: Iterator of file names. Must be full file paths. Will be called once
             per file created. As required by `HDFWriter`.
+        dataset_names: A dictionary of dataset names to use for each field.
         additional_downstream_pipelines: Any number of additional pipelines to add
             downstream.
     """
 
     return create_pipeline(
-        FrameProcessor(), HDFWriter(file_names), *additional_downstream_pipelines
+        FrameProcessor(), HDFWriter(file_names, dataset_names), *additional_downstream_pipelines
     )
 
 
@@ -256,7 +258,7 @@ async def write_hdf_files(
     """
     counter = 0
     end_data = None
-    pipeline = create_default_pipeline(file_names)
+    pipeline = create_default_pipeline(file_names, {})
     try:
         async for data in client.data(scaled=False, flush_period=flush_period):
             pipeline[0].queue.put_nowait(data)

tests/test_hdf.py

@@ -21,7 +21,7 @@ def __init__(self):
 
     try:
         pipeline = create_default_pipeline(
-            iter([Path(tmp_path / "1.h5")]), file_counter
+            iter([Path(tmp_path / "1.h5")]), {}, file_counter
         )
 
         pipeline[0].queue.put_nowait(