Update pydantic to v2.3

This update is necessary to stay current with the latest pydantic
version, rather than pinning the library to v1.9.0. However, it's
worth noting that this is a temporary solution until Frequenz-SDK
is updated to use Marshmallow instead of pydantic, which would
require a higher level of effort.

One important consideration is the dependency on
typing-extensions>=4.6.1 introduced in pydantic v2.0.

Additionally, there's a breaking change in pydantic v2,
which disallows data type conversion if it results in a loss
of precision. This is particularly relevant when converting a
float to an int. Consequently, the `test_config.py` file has
been updated to accommodate this change.

Signed-off-by: Daniel Zullo <[email protected]>

Author: daniel-zullo-frequenz

pyproject.toml

@@ -37,9 +37,9 @@ dependencies = [
   "networkx >= 2.8, < 4",
   "numpy >= 1.24.2, < 2",
   "protobuf >= 4.21.6, < 5",
-  "pydantic >= 1.9, < 2",
+  "pydantic >= 2.3, < 3",
   "tqdm >= 4.38.0, < 5",
-  "typing_extensions >= 4.4.0, < 5",
+  "typing_extensions >= 4.6.1, < 5",
   "watchfiles >= 0.15.0",
 ]
 dynamic = ["version"]

src/frequenz/sdk/config/_config.py

@@ -3,11 +3,11 @@
 
 """Read and update config variables."""
 
+import json
 import logging
 from typing import Any, TypeVar
 
-# pylint not finding parse_raw_as is a false positive
-from pydantic import ValidationError, parse_raw_as  # pylint: disable=no-name-in-module
+from pydantic import Strict, TypeAdapter, ValidationError
 
 _logger = logging.getLogger(__name__)
 
@@ -121,7 +121,11 @@ def get_as(self, key: str, expected_type: Any) -> Any:
             return value
 
         try:
-            parsed_value: Any = parse_raw_as(expected_type, value)
+            obj = json.loads(value)
+            metadata = getattr(expected_type, "__metadata__", (None,))[0]
+            strict = metadata.strict if isinstance(metadata, Strict) else False
+            adapter = TypeAdapter(expected_type)
+            parsed_value = adapter.validate_python(obj, strict=strict)
         except (ValidationError, ValueError) as err:
             raise ValueError(
                 f"Could not convert config variable: {key} = '{value}' "

tests/config/test_config.py

@@ -92,18 +92,18 @@ def test_contains(self, conf_vars: dict[str, Any]) -> None:
             ("logging_lvl", str, "DEBUG"),
             ("var_int", int, 5),
             ("var_int", StrictInt, 5),
+            ("var_int", StrictFloat, 5.0),
             ("var_int", float, 5.0),
             ("var_float", float, 3.14),
             ("var_float", StrictFloat, 3.14),
-            ("var_float", int, 3),
             ("var_bool", int, 1),
             ("var_bool", float, 1.0),
             ("var_bool", bool, True),
             ("var1", bool, 1),
             ("var_bool", StrictBool, True),
             ("list_int", list[int], [1, 2, 3]),
             ("list_int", list[StrictInt], [1, 2, 3]),
-            ("list_float", list[int], [1, 2, 3]),
+            ("list_int", list[StrictFloat], [1.0, 2.0, 3.0]),
             ("list_int", list[float], [1.0, 2.0, 3.0]),
             ("list_float", list[float], [1, 2.0, 3.5]),
             ("list_non_strict_bool", list[bool], 2 * [False] + 2 * [True]),
@@ -124,12 +124,12 @@ def test_get_as_success(
     @pytest.mark.parametrize(
         "key, expected_type",
         [
+            ("var_float", int),
             ("var_float", StrictInt),
-            ("var_int", StrictFloat),
             ("var1", StrictBool),
             ("list_float", list[StrictInt]),
-            ("list_int", list[StrictFloat]),
             ("list_non_strict_bool", list[int]),
+            ("list_float", list[int]),
         ],
     )
     def test_get_as_validation_error(