chore(deps): bump to pydantic v2 (#1483)

requirements.txt

@@ -1,7 +1,8 @@
 scipy>=1.4.1, <1.12
 pandas>1.1, <2.1, !=1.4.0
 matplotlib>=3.2, <=3.7.3
-pydantic>=1.8.1, <2
+pydantic>=2
+pydantic-settings>=2
 PyYAML>=5.0.0, <6.1
 jinja2>=2.11.1, <3.2
 visions[type_image_path]==0.7.5

src/ydata_profiling/config.py

@@ -4,7 +4,7 @@
 from typing import Any, Dict, List, Optional, Tuple, Union
 
 import yaml
-from pydantic import BaseModel, BaseSettings, Field, PrivateAttr
+from pydantic.v1 import BaseModel, BaseSettings, Field, PrivateAttr
 
 
 def _merge_dictionaries(dict1: dict, dict2: dict) -> dict:
@@ -348,7 +348,7 @@ class Config:
     # Report rendering
     report: Report = Report()
     html: Html = Html()
-    notebook = Notebook()
+    notebook: Notebook = Notebook()
 
     def update(self, updates: dict) -> "Settings":
         update = _merge_dictionaries(self.dict(), updates)
@@ -366,7 +366,7 @@ def from_file(config_file: Union[Path, str]) -> "Settings":
         with open(config_file) as f:
             data = yaml.safe_load(f)
 
-        return Settings().parse_obj(data)
+        return Settings.parse_obj(data)
 
 
 class SparkSettings(Settings):
@@ -379,7 +379,7 @@ class SparkSettings(Settings):
 
     vars.num.low_categorical_threshold = 0
 
-    infer_dtypes = False
+    infer_dtypes: bool = False
 
     correlations: Dict[str, Correlation] = {
         "spearman": Correlation(key="spearman", calculate=True),

src/ydata_profiling/model/sample.py

@@ -1,7 +1,7 @@
 from typing import List, Optional, TypeVar
 
 from multimethod import multimethod
-from pydantic.main import BaseModel
+from pydantic.v1 import BaseModel
 
 from ydata_profiling.config import Settings