source: source.py: Add base_entry_point decorator

Fixes: #223

Author: raghav-ys

CHANGELOG.md

@@ -85,6 +85,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Strict flag in df.memory is now on by default
 - Dynamically created scikit models get config args correctly
 - Renamed `DNNClassifierModelContext` first init arg from `config` to `features`
+- BaseSource now has `base_entry_point` decoration
 ### Removed
 - Repo objects are no longer classification specific. Their `classify`,
   `classified`, and `classification` methods were removed.

dffml/source/source.py

@@ -18,7 +18,7 @@
     AsyncContextManagerListContext,
     AsyncContextManagerList,
 )
-from ..util.entrypoint import Entrypoint
+from ..util.entrypoint import Entrypoint, base_entry_point
 
 from .log import LOGGER
 
@@ -48,15 +48,13 @@ async def repo(self, src_url: str):
         """
 
 
+@base_entry_point("dffml.source", "source")
 class BaseSource(BaseDataFlowFacilitatorObject):
     """
     Abstract base class for all sources. New sources must be derived from this
     class and implement the repos method.
     """
 
-    ENTRY_POINT = "dffml.source"
-    ENTRY_POINT_NAME = ["source"]
-
     def __call__(self) -> BaseSourceContext:
         return self.CONTEXT(self)