Merge pull request #6165 from explosion/feature/update-tokenizers-initialize

spacy/errors.py

@@ -562,7 +562,10 @@ class Errors:
     E953 = ("Mismatched IDs received by the Tok2Vec listener: {id1} vs. {id2}")
     E954 = ("The Tok2Vec listener did not receive any valid input from an upstream "
             "component.")
-    E955 = ("Can't find table(s) '{table}' for language '{lang}' in spacy-lookups-data.")
+    E955 = ("Can't find table(s) '{table}' for language '{lang}' in "
+            "spacy-lookups-data. If you want to initialize a blank nlp object, "
+            "make sure you have the spacy-lookups-data package installed or "
+            "remove the [initialize.lookups] block from your config.")
     E956 = ("Can't find component '{name}' in [components] block in the config. "
             "Available components: {opts}")
     E957 = ("Writing directly to Language.factories isn't needed anymore in "
@@ -680,14 +683,9 @@ class Errors:
     E999 = ("Unable to merge the `Doc` objects because they do not all share "
             "the same `Vocab`.")
     E1000 = ("The Chinese word segmenter is pkuseg but no pkuseg model was "
-             "specified. Provide the name of a pretrained model or the path to "
-             "a model when initializing the pipeline:\n"
-             'config = {\n'
-             '   "@tokenizers": "spacy.zh.ChineseTokenizer",\n'
-             '   "segmenter": "pkuseg",\n'
-             '   "pkuseg_model": "default", # or "/path/to/pkuseg_model" \n'
-             '}\n'
-             'nlp = Chinese.from_config({"nlp": {"tokenizer": config}})')
+             "loaded. Provide the name of a pretrained model or the path to "
+             "a model and initialize the pipeline:\n\n"
+             'nlp.tokenizer.initialize(pkuseg_model="default")')
     E1001 = ("Target token outside of matched span for match with tokens "
              "'{span}' and offset '{index}' matched by patterns '{patterns}'.")
     E1002 = ("Span index out of range.")

spacy/lang/da/__init__.py

@@ -3,9 +3,21 @@ from .punctuation import TOKENIZER_INFIXES, TOKENIZER_SUFFIXES
 from .stop_words import STOP_WORDS
 from .lex_attrs import LEX_ATTRS
 from ...language import Language
+from ...util import load_config_from_str
+
+
+DEFAULT_CONFIG = """
+[initialize]
+
+[initialize.lookups]
+@misc = "spacy.LookupsDataLoader.v1"
+lang = ${nlp.lang}
+tables = ["lexeme_norm"]
+"""
 
 
 class DanishDefaults(Language.Defaults):
+    config = load_config_from_str(DEFAULT_CONFIG)
     tokenizer_exceptions = TOKENIZER_EXCEPTIONS
     infixes = TOKENIZER_INFIXES
     suffixes = TOKENIZER_SUFFIXES

spacy/lang/de/__init__.py

@@ -3,9 +3,21 @@ from .punctuation import TOKENIZER_PREFIXES, TOKENIZER_SUFFIXES, TOKENIZER_INFIX
 from .stop_words import STOP_WORDS
 from .syntax_iterators import SYNTAX_ITERATORS
 from ...language import Language
+from ...util import load_config_from_str
+
+
+DEFAULT_CONFIG = """
+[initialize]
+
+[initialize.lookups]
+@misc = "spacy.LookupsDataLoader.v1"
+lang = ${nlp.lang}
+tables = ["lexeme_norm"]
+"""
 
 
 class GermanDefaults(Language.Defaults):
+    config = load_config_from_str(DEFAULT_CONFIG)
     tokenizer_exceptions = TOKENIZER_EXCEPTIONS
     prefixes = TOKENIZER_PREFIXES
     suffixes = TOKENIZER_SUFFIXES

spacy/lang/el/__init__.py

@@ -9,9 +9,21 @@ from .punctuation import TOKENIZER_PREFIXES, TOKENIZER_SUFFIXES, TOKENIZER_INFIX
 from .lemmatizer import GreekLemmatizer
 from ...lookups import Lookups
 from ...language import Language
+from ...util import load_config_from_str
+
+
+DEFAULT_CONFIG = """
+[initialize]
+
+[initialize.lookups]
+@misc = "spacy.LookupsDataLoader.v1"
+lang = ${nlp.lang}
+tables = ["lexeme_norm"]
+"""
 
 
 class GreekDefaults(Language.Defaults):
+    config = load_config_from_str(DEFAULT_CONFIG)
     tokenizer_exceptions = TOKENIZER_EXCEPTIONS
     prefixes = TOKENIZER_PREFIXES
     suffixes = TOKENIZER_SUFFIXES

spacy/lang/en/__init__.py

@@ -1,5 +1,4 @@
 from typing import Optional
-
 from thinc.api import Model
 
 from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS

spacy/lang/id/__init__.py

@@ -4,9 +4,21 @@ from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
 from .lex_attrs import LEX_ATTRS
 from .syntax_iterators import SYNTAX_ITERATORS
 from ...language import Language
+from ...util import load_config_from_str
+
+
+DEFAULT_CONFIG = """
+[initialize]
+
+[initialize.lookups]
+@misc = "spacy.LookupsDataLoader.v1"
+lang = ${nlp.lang}
+tables = ["lexeme_norm"]
+"""
 
 
 class IndonesianDefaults(Language.Defaults):
+    config = load_config_from_str(DEFAULT_CONFIG)
     tokenizer_exceptions = TOKENIZER_EXCEPTIONS
     prefixes = TOKENIZER_PREFIXES
     suffixes = TOKENIZER_SUFFIXES

spacy/lang/ja/__init__.py

@@ -2,7 +2,6 @@ from typing import Optional, Union, Dict, Any
 from pathlib import Path
 import srsly
 from collections import namedtuple
-from thinc.api import Config
 
 from .stop_words import STOP_WORDS
 from .syntax_iterators import SYNTAX_ITERATORS
@@ -16,7 +15,7 @@ from ...scorer import Scorer
 from ...symbols import POS
 from ...tokens import Doc
 from ...training import validate_examples
-from ...util import DummyTokenizer, registry
+from ...util import DummyTokenizer, registry, load_config_from_str
 from ... import util
 
 
@@ -166,7 +165,7 @@ class JapaneseTokenizer(DummyTokenizer):
 
 
 class JapaneseDefaults(Language.Defaults):
-    config = Config().from_str(DEFAULT_CONFIG)
+    config = load_config_from_str(DEFAULT_CONFIG)
     stop_words = STOP_WORDS
     syntax_iterators = SYNTAX_ITERATORS
     writing_system = {"direction": "ltr", "has_case": False, "has_letters": False}

spacy/lang/ko/__init__.py

@@ -1,5 +1,4 @@
 from typing import Optional, Any, Dict
-from thinc.api import Config
 
 from .stop_words import STOP_WORDS
 from .tag_map import TAG_MAP
@@ -10,7 +9,7 @@ from ...compat import copy_reg
 from ...scorer import Scorer
 from ...symbols import POS
 from ...training import validate_examples
-from ...util import DummyTokenizer, registry
+from ...util import DummyTokenizer, registry, load_config_from_str
 
 
 DEFAULT_CONFIG = """
@@ -70,7 +69,7 @@ class KoreanTokenizer(DummyTokenizer):
 
 
 class KoreanDefaults(Language.Defaults):
-    config = Config().from_str(DEFAULT_CONFIG)
+    config = load_config_from_str(DEFAULT_CONFIG)
     lex_attr_getters = LEX_ATTRS
     stop_words = STOP_WORDS
     writing_system = {"direction": "ltr", "has_case": False, "has_letters": False}

spacy/lang/lb/__init__.py

@@ -3,9 +3,21 @@ from .punctuation import TOKENIZER_INFIXES
 from .lex_attrs import LEX_ATTRS
 from .stop_words import STOP_WORDS
 from ...language import Language
+from ...util import load_config_from_str
+
+
+DEFAULT_CONFIG = """
+[initialize]
+
+[initialize.lookups]
+@misc = "spacy.LookupsDataLoader.v1"
+lang = ${nlp.lang}
+tables = ["lexeme_norm"]
+"""
 
 
 class LuxembourgishDefaults(Language.Defaults):
+    config = load_config_from_str(DEFAULT_CONFIG)
     tokenizer_exceptions = TOKENIZER_EXCEPTIONS
     infixes = TOKENIZER_INFIXES
     lex_attr_getters = LEX_ATTRS

spacy/lang/pt/__init__.py

@@ -3,9 +3,21 @@ from .stop_words import STOP_WORDS
 from .lex_attrs import LEX_ATTRS
 from .punctuation import TOKENIZER_INFIXES, TOKENIZER_PREFIXES
 from ...language import Language
+from ...util import load_config_from_str
+
+
+DEFAULT_CONFIG = """
+[initialize]
+
+[initialize.lookups]
+@misc = "spacy.LookupsDataLoader.v1"
+lang = ${nlp.lang}
+tables = ["lexeme_norm"]
+"""
 
 
 class PortugueseDefaults(Language.Defaults):
+    config = load_config_from_str(DEFAULT_CONFIG)
     tokenizer_exceptions = TOKENIZER_EXCEPTIONS
     infixes = TOKENIZER_INFIXES
     prefixes = TOKENIZER_PREFIXES

spacy/lang/ru/__init__.py

@@ -1,5 +1,4 @@
 from typing import Optional
-
 from thinc.api import Model
 
 from .stop_words import STOP_WORDS
@@ -8,9 +7,21 @@ from .lex_attrs import LEX_ATTRS
 from .lemmatizer import RussianLemmatizer
 from ...language import Language
 from ...lookups import Lookups
+from ...util import load_config_from_str
+
+
+DEFAULT_CONFIG = """
+[initialize]
+
+[initialize.lookups]
+@misc = "spacy.LookupsDataLoader.v1"
+lang = ${nlp.lang}
+tables = ["lexeme_norm"]
+"""
 
 
 class RussianDefaults(Language.Defaults):
+    config = load_config_from_str(DEFAULT_CONFIG)
     tokenizer_exceptions = TOKENIZER_EXCEPTIONS
     lex_attr_getters = LEX_ATTRS
     stop_words = STOP_WORDS

spacy/lang/sr/__init__.py

@@ -2,9 +2,21 @@ from .stop_words import STOP_WORDS
 from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
 from .lex_attrs import LEX_ATTRS
 from ...language import Language
+from ...util import load_config_from_str
+
+
+DEFAULT_CONFIG = """
+[initialize]
+
+[initialize.lookups]
+@misc = "spacy.LookupsDataLoader.v1"
+lang = ${nlp.lang}
+tables = ["lexeme_norm"]
+"""
 
 
 class SerbianDefaults(Language.Defaults):
+    config = load_config_from_str(DEFAULT_CONFIG)
     tokenizer_exceptions = TOKENIZER_EXCEPTIONS
     lex_attr_getters = LEX_ATTRS
     stop_words = STOP_WORDS

spacy/lang/ta/__init__.py

@@ -1,9 +1,21 @@
 from .stop_words import STOP_WORDS
 from .lex_attrs import LEX_ATTRS
 from ...language import Language
+from ...util import load_config_from_str
+
+
+DEFAULT_CONFIG = """
+[initialize]
+
+[initialize.lookups]
+@misc = "spacy.LookupsDataLoader.v1"
+lang = ${nlp.lang}
+tables = ["lexeme_norm"]
+"""
 
 
 class TamilDefaults(Language.Defaults):
+    config = load_config_from_str(DEFAULT_CONFIG)
     lex_attr_getters = LEX_ATTRS
     stop_words = STOP_WORDS
 

spacy/lang/th/__init__.py

@@ -1,10 +1,8 @@
-from thinc.api import Config
-
 from .stop_words import STOP_WORDS
 from .lex_attrs import LEX_ATTRS
 from ...language import Language
 from ...tokens import Doc
-from ...util import DummyTokenizer, registry
+from ...util import DummyTokenizer, registry, load_config_from_str
 
 
 DEFAULT_CONFIG = """
@@ -12,6 +10,13 @@ DEFAULT_CONFIG = """
 
 [nlp.tokenizer]
 @tokenizers = "spacy.th.ThaiTokenizer"
+
+[initialize]
+
+[initialize.lookups]
+@misc = "spacy.LookupsDataLoader.v1"
+lang = ${nlp.lang}
+tables = ["lexeme_norm"]
 """
 
 
@@ -42,7 +47,7 @@ class ThaiTokenizer(DummyTokenizer):
 
 
 class ThaiDefaults(Language.Defaults):
-    config = Config().from_str(DEFAULT_CONFIG)
+    config = load_config_from_str(DEFAULT_CONFIG)
     lex_attr_getters = LEX_ATTRS
     stop_words = STOP_WORDS
 

spacy/lang/vi/__init__.py

@@ -1,10 +1,8 @@
-from thinc.api import Config
-
+from .stop_words import STOP_WORDS
+from .lex_attrs import LEX_ATTRS
 from ...language import Language
 from ...tokens import Doc
-from .stop_words import STOP_WORDS
-from ...util import DummyTokenizer, registry
-from .lex_attrs import LEX_ATTRS
+from ...util import DummyTokenizer, registry, load_config_from_str
 
 
 DEFAULT_CONFIG = """
@@ -55,7 +53,7 @@ class VietnameseTokenizer(DummyTokenizer):
 
 
 class VietnameseDefaults(Language.Defaults):
-    config = Config().from_str(DEFAULT_CONFIG)
+    config = load_config_from_str(DEFAULT_CONFIG)
     lex_attr_getters = LEX_ATTRS
     stop_words = STOP_WORDS
 

spacy/lang/zh/__init__.py

@@ -1,17 +1,16 @@
-from typing import Optional, List, Dict, Any
+from typing import Optional, List, Dict, Any, Callable, Iterable
 from enum import Enum
 import tempfile
 import srsly
 import warnings
 from pathlib import Path
-from thinc.api import Config
 
 from ...errors import Warnings, Errors
 from ...language import Language
 from ...scorer import Scorer
 from ...tokens import Doc
-from ...training import validate_examples
-from ...util import DummyTokenizer, registry
+from ...training import validate_examples, Example
+from ...util import DummyTokenizer, registry, load_config_from_str
 from .lex_attrs import LEX_ATTRS
 from .stop_words import STOP_WORDS
 from ... import util
@@ -28,6 +27,10 @@ DEFAULT_CONFIG = """
 [nlp.tokenizer]
 @tokenizers = "spacy.zh.ChineseTokenizer"
 segmenter = "char"
+
+[initialize]
+
+[initialize.tokenizer]
 pkuseg_model = null
 pkuseg_user_dict = "default"
 """
@@ -44,41 +47,23 @@ class Segmenter(str, Enum):
 
 
 @registry.tokenizers("spacy.zh.ChineseTokenizer")
-def create_chinese_tokenizer(
-    segmenter: Segmenter = Segmenter.char,
-    pkuseg_model: Optional[str] = None,
-    pkuseg_user_dict: Optional[str] = "default",
-):
+def create_chinese_tokenizer(segmenter: Segmenter = Segmenter.char,):
     def chinese_tokenizer_factory(nlp):
-        return ChineseTokenizer(
-            nlp,
-            segmenter=segmenter,
-            pkuseg_model=pkuseg_model,
-            pkuseg_user_dict=pkuseg_user_dict,
-        )
+        return ChineseTokenizer(nlp, segmenter=segmenter)
 
     return chinese_tokenizer_factory
 
 
 class ChineseTokenizer(DummyTokenizer):
     def __init__(
-        self,
-        nlp: Language,
-        segmenter: Segmenter = Segmenter.char,
-        pkuseg_model: Optional[str] = None,
-        pkuseg_user_dict: Optional[str] = None,
+        self, nlp: Language, segmenter: Segmenter = Segmenter.char,
     ):
         self.vocab = nlp.vocab
         if isinstance(segmenter, Segmenter):
             segmenter = segmenter.value
         self.segmenter = segmenter
-        self.pkuseg_model = pkuseg_model
-        self.pkuseg_user_dict = pkuseg_user_dict
         self.pkuseg_seg = None
         self.jieba_seg = None
-        self.configure_segmenter(segmenter)
-
-    def configure_segmenter(self, segmenter: str):
         if segmenter not in Segmenter.values():
             warn_msg = Warnings.W103.format(
                 lang="Chinese",
@@ -88,12 +73,21 @@ class ChineseTokenizer(DummyTokenizer):
             )
             warnings.warn(warn_msg)
             self.segmenter = Segmenter.char
-        self.jieba_seg = try_jieba_import(self.segmenter)
-        self.pkuseg_seg = try_pkuseg_import(
-            self.segmenter,
-            pkuseg_model=self.pkuseg_model,
-            pkuseg_user_dict=self.pkuseg_user_dict,
-        )
+        if segmenter == Segmenter.jieba:
+            self.jieba_seg = try_jieba_import()
+
+    def initialize(
+        self,
+        get_examples: Optional[Callable[[], Iterable[Example]]] = None,
+        *,
+        nlp: Optional[Language] = None,
+        pkuseg_model: Optional[str] = None,
+        pkuseg_user_dict: str = "default",
+    ):
+        if self.segmenter == Segmenter.pkuseg:
+            self.pkuseg_seg = try_pkuseg_import(
+                pkuseg_model=pkuseg_model, pkuseg_user_dict=pkuseg_user_dict,
+            )
 
     def __call__(self, text: str) -> Doc:
         if self.segmenter == Segmenter.jieba:
@@ -148,14 +142,10 @@ class ChineseTokenizer(DummyTokenizer):
     def _get_config(self) -> Dict[str, Any]:
         return {
             "segmenter": self.segmenter,
-            "pkuseg_model": self.pkuseg_model,
-            "pkuseg_user_dict": self.pkuseg_user_dict,
         }
 
     def _set_config(self, config: Dict[str, Any] = {}) -> None:
         self.segmenter = config.get("segmenter", Segmenter.char)
-        self.pkuseg_model = config.get("pkuseg_model", None)
-        self.pkuseg_user_dict = config.get("pkuseg_user_dict", "default")
 
     def to_bytes(self, **kwargs):
         pkuseg_features_b = b""
@@ -322,7 +312,7 @@ class ChineseTokenizer(DummyTokenizer):
 
 
 class ChineseDefaults(Language.Defaults):
-    config = Config().from_str(DEFAULT_CONFIG)
+    config = load_config_from_str(DEFAULT_CONFIG)
     lex_attr_getters = LEX_ATTRS
     stop_words = STOP_WORDS
     writing_system = {"direction": "ltr", "has_case": False, "has_letters": False}
@@ -333,42 +323,33 @@ class Chinese(Language):
     Defaults = ChineseDefaults
 
 
-def try_jieba_import(segmenter: str) -> None:
+def try_jieba_import() -> None:
     try:
         import jieba
 
-        if segmenter == Segmenter.jieba:
-            # segment a short text to have jieba initialize its cache in advance
-            list(jieba.cut("作为", cut_all=False))
+        # segment a short text to have jieba initialize its cache in advance
+        list(jieba.cut("作为", cut_all=False))
 
         return jieba
     except ImportError:
-        if segmenter == Segmenter.jieba:
-            msg = (
-                "Jieba not installed. To use jieba, install it with `pip "
-                " install jieba` or from https://github.com/fxsjy/jieba"
-            )
-            raise ImportError(msg) from None
+        msg = (
+            "Jieba not installed. To use jieba, install it with `pip "
+            " install jieba` or from https://github.com/fxsjy/jieba"
+        )
+        raise ImportError(msg) from None
 
 
-def try_pkuseg_import(
-    segmenter: str, pkuseg_model: Optional[str], pkuseg_user_dict: str
-) -> None:
+def try_pkuseg_import(pkuseg_model: str, pkuseg_user_dict: str) -> None:
     try:
         import pkuseg
 
-        if pkuseg_model is None:
-            return None
-        else:
-            return pkuseg.pkuseg(pkuseg_model, pkuseg_user_dict)
+        return pkuseg.pkuseg(pkuseg_model, pkuseg_user_dict)
     except ImportError:
-        if segmenter == Segmenter.pkuseg:
-            msg = "pkuseg not installed. To use pkuseg, " + _PKUSEG_INSTALL_MSG
-            raise ImportError(msg) from None
+        msg = "pkuseg not installed. To use pkuseg, " + _PKUSEG_INSTALL_MSG
+        raise ImportError(msg) from None
     except FileNotFoundError:
-        if segmenter == Segmenter.pkuseg:
-            msg = "Unable to load pkuseg model from: " + pkuseg_model
-            raise FileNotFoundError(msg) from None
+        msg = "Unable to load pkuseg model from: " + pkuseg_model
+        raise FileNotFoundError(msg) from None
 
 
 def _get_pkuseg_trie_data(node, path=""):

spacy/tests/conftest.py

@@ -272,10 +272,14 @@ def zh_tokenizer_char():
 def zh_tokenizer_jieba():
     pytest.importorskip("jieba")
     config = {
-        "@tokenizers": "spacy.zh.ChineseTokenizer",
-        "segmenter": "jieba",
+        "nlp": {
+            "tokenizer": {
+                "@tokenizers": "spacy.zh.ChineseTokenizer",
+                "segmenter": "jieba",
+            }
+        }
     }
-    nlp = get_lang_class("zh").from_config({"nlp": {"tokenizer": config}})
+    nlp = get_lang_class("zh").from_config(config)
     return nlp.tokenizer
 
 
@@ -284,11 +288,19 @@ def zh_tokenizer_pkuseg():
     pytest.importorskip("pkuseg")
     pytest.importorskip("pickle5")
     config = {
-        "@tokenizers": "spacy.zh.ChineseTokenizer",
-        "segmenter": "pkuseg",
-        "pkuseg_model": "default",
+        "nlp": {
+            "tokenizer": {
+                "@tokenizers": "spacy.zh.ChineseTokenizer",
+                "segmenter": "pkuseg",
+            }
+        },
+        "initialize": {"tokenizer": {
+                "pkuseg_model": "default",
+            }
+        },
     }
-    nlp = get_lang_class("zh").from_config({"nlp": {"tokenizer": config}})
+    nlp = get_lang_class("zh").from_config(config)
+    nlp.initialize()
     return nlp.tokenizer
 
 

spacy/tests/lang/zh/test_serialize.py

@@ -28,9 +28,17 @@ def test_zh_tokenizer_serialize_jieba(zh_tokenizer_jieba):
 @pytest.mark.slow
 def test_zh_tokenizer_serialize_pkuseg_with_processors(zh_tokenizer_pkuseg):
     config = {
-        "@tokenizers": "spacy.zh.ChineseTokenizer",
-        "segmenter": "pkuseg",
-        "pkuseg_model": "medicine",
+        "nlp": {
+            "tokenizer": {
+                "@tokenizers": "spacy.zh.ChineseTokenizer",
+                "segmenter": "pkuseg",
+            }
+        },
+        "initialize": {"tokenizer": {
+                "pkuseg_model": "medicine",
+            }
+        },
     }
-    nlp = Chinese.from_config({"nlp": {"tokenizer": config}})
+    nlp = Chinese.from_config(config)
+    nlp.initialize()
     zh_tokenizer_serialize(nlp.tokenizer)

spacy/tests/parser/test_ner.py

@@ -339,6 +339,7 @@ def test_ner_warns_no_lookups(caplog):
     nlp.vocab.lookups = Lookups()
     assert not len(nlp.vocab.lookups)
     nlp.add_pipe("ner")
+    nlp.config["initialize"]["lookups"] = None
     with caplog.at_level(logging.DEBUG):
         nlp.initialize()
         assert "W033" in caplog.text