@factories -> factory (#5801)

spacy/cli/train.py

@@ -526,7 +526,7 @@ def verify_config(nlp: Language) -> None:
     # in config["nlp"]["pipeline"] instead?
     for pipe_config in nlp.config["components"].values():
         # We can't assume that the component name == the factory
-        factory = pipe_config["@factories"]
+        factory = pipe_config["factory"]
         if factory == "textcat":
             verify_textcat_config(nlp, pipe_config)
 

spacy/errors.py

@@ -564,9 +564,9 @@ class Errors:
             "into {values}, but found {value}.")
     E983 = ("Invalid key for '{dict}': {key}. Available keys: "
             "{keys}")
-    E984 = ("Invalid component config for '{name}': no @factories key "
+    E984 = ("Invalid component config for '{name}': no 'factory' key "
             "specifying the registered function used to initialize the "
-            "component. For example, @factories = \"ner\" will use the 'ner' "
+            "component. For example, factory = \"ner\" will use the 'ner' "
             "factory and all other settings in the block will be passed "
             "to it as arguments.\n\n{config}")
     E985 = ("Can't load model from config file: no 'nlp' section found.\n\n{config}")

spacy/language.py

@@ -185,7 +185,7 @@ class Language:
         for pipe_name in self.pipe_names:
             pipe_meta = self.get_pipe_meta(pipe_name)
             pipe_config = self.get_pipe_config(pipe_name)
-            pipeline[pipe_name] = {"@factories": pipe_meta.factory, **pipe_config}
+            pipeline[pipe_name] = {"factory": pipe_meta.factory, **pipe_config}
         self._config["nlp"]["pipeline"] = self.pipe_names
         self._config["components"] = pipeline
         if not srsly.is_json_serializable(self._config):
@@ -491,7 +491,7 @@ class Language:
         # pipeline component and why it failed, explain default config
         resolved, filled = registry.resolve(cfg, validate=validate, overrides=overrides)
         filled = filled[factory_name]
-        filled["@factories"] = factory_name
+        filled["factory"] = factory_name
         self._pipe_configs[name] = filled
         return resolved[factory_name]
 
@@ -1283,12 +1283,12 @@ class Language:
             if pipe_name not in pipeline:
                 opts = ", ".join(pipeline.keys())
                 raise ValueError(Errors.E956.format(name=pipe_name, opts=opts))
-            pipe_cfg = pipeline[pipe_name]
+            pipe_cfg = util.copy_config(pipeline[pipe_name])
             if pipe_name not in disable:
-                if "@factories" not in pipe_cfg:
+                if "factory" not in pipe_cfg:
                     err = Errors.E984.format(name=pipe_name, config=pipe_cfg)
                     raise ValueError(err)
-                factory = pipe_cfg["@factories"]
+                factory = pipe_cfg.pop("factory")
                 # The pipe name (key in the config) here is the unique name of the
                 # component, not necessarily the factory
                 nlp.add_pipe(

spacy/tests/serialize/test_serialize_config.py

@@ -20,7 +20,7 @@ pipeline = ["tok2vec", "tagger"]
 [components]
 
 [components.tok2vec]
-@factories = "tok2vec"
+factory = "tok2vec"
 
 [components.tok2vec.model]
 @architectures = "spacy.HashEmbedCNN.v1"
@@ -34,7 +34,7 @@ subword_features = true
 dropout = null
 
 [components.tagger]
-@factories = "tagger"
+factory = "tagger"
 
 [components.tagger.model]
 @architectures = "spacy.Tagger.v1"
@@ -245,7 +245,7 @@ def test_serialize_config_language_specific():
     nlp.add_pipe(name, config={"foo": 100}, name="bar")
     pipe_config = nlp.config["components"]["bar"]
     assert pipe_config["foo"] == 100
-    assert pipe_config["@factories"] == name
+    assert pipe_config["factory"] == name
 
     with make_tempdir() as d:
         nlp.to_disk(d)
@@ -255,7 +255,7 @@ def test_serialize_config_language_specific():
     assert nlp2.get_pipe_meta("bar").factory == name
     pipe_config = nlp2.config["components"]["bar"]
     assert pipe_config["foo"] == 100
-    assert pipe_config["@factories"] == name
+    assert pipe_config["factory"] == name
 
     config = Config().from_str(nlp2.config.to_str())
     config["nlp"]["lang"] = "de"