Spool map

dascore/clients/dirspool.py

@@ -13,9 +13,10 @@
 from typing_extensions import Self
 
 import dascore as dc
-from dascore.core.spool import DataFrameSpool
+from dascore.core.spool import DataFrameSpool, BaseSpool
 from dascore.io.indexer import AbstractIndexer, DirectoryIndexer
 from dascore.utils.pd import adjust_segments
+from dascore.utils.docs import compose_docstring
 
 
 class DirectorySpool(DataFrameSpool):
@@ -91,24 +92,16 @@ def spool_path(self):
         """Return the path in which the spool contents are found."""
         return self.indexer.path
 
+    @compose_docstring(doc=BaseSpool.get_contents.__doc__)
     def get_contents(self) -> pd.DataFrame:
         """
-        Return a dataframe of the contents of the data files.
-
-        Parameters
-        ----------
-        time
-            If not None, a tuple of start/end time where either can be None
-            indicating an open interval.
+        {doc}
         """
         return self._df
 
+    @compose_docstring(doc=BaseSpool.update.__doc__)
     def update(self) -> Self:
-        """
-        Updates the contents of the spool and returns a spool.
-
-        Resets any previous selection.
-        """
+        """{doc}"""
         out = self.__class__(
             base_path=self.indexer.update(),
             preferred_format=self._preferred_format,

dascore/clients/filespool.py

@@ -9,8 +9,9 @@
 
 import dascore as dc
 from dascore.constants import SpoolType
-from dascore.core.spool import DataFrameSpool
+from dascore.core.spool import DataFrameSpool, BaseSpool
 from dascore.io.core import FiberIO
+from dascore.utils.docs import compose_docstring
 
 
 class FileSpool(DataFrameSpool):
@@ -65,11 +66,12 @@ def _load_patch(self, kwargs) -> Self:
         """Given a row from the managed dataframe, return a patch."""
         return dc.read(**kwargs)[0]
 
+    @compose_docstring(doc=BaseSpool.update.__doc__)
     def update(self: SpoolType) -> Self:
         """
-        Update the spool.
+        {doc}
 
-        If the file format supports indexing (e.g. DASDAE) this will
+        Note: If the file format supports indexing (e.g. DASDAE) this will
         trigger an indexing of the file.
         """
         formater = FiberIO.manager.get_fiberio(self._file_format, self._file_version)

dascore/constants.py

@@ -2,7 +2,7 @@
 from __future__ import annotations
 
 from pathlib import Path
-from typing import TypeVar
+from typing import TypeVar, Protocol, runtime_checkable
 
 import numpy as np
 import pandas as pd
@@ -13,6 +13,15 @@
 
 SpoolType = TypeVar("SpoolType", bound="dascore.BaseSpool")
 
+
+@runtime_checkable
+class ExecutorType(Protocol):
+    """Protocol for Executors that DASCore can use."""
+
+    def map(self, func, iterables, **kwargs):
+        """Map function for applying concurrency of some flavor."""
+
+
 # Bump this to force re-downloading of all data file
 DATA_VERSION = "0.0.0"