[refactor] replace pydantic by msgspec

Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>

requirements.txt

@@ -16,6 +16,6 @@ redis==5.0.8
 markdown-it-py==3.0.0
 fasttext-predict==0.9.2.2
 tomli==2.0.2; python_version < '3.11'
-pydantic==2.9.2
+msgspec==0.18.6
 eval_type_backport; python_version < '3.9'
 typer-slim==0.12.5

searx/favicons/cache.py

@@ -30,7 +30,7 @@ import tempfile
 import time
 import typer
 
-from pydantic import BaseModel
+import msgspec
 
 from searx import sqlitedb
 from searx import logger
@@ -90,7 +90,7 @@ def init(cfg: "FaviconCacheConfig"):
         raise NotImplementedError(f"favicons db_type '{cfg.db_type}' is unknown")
 
 
-class FaviconCacheConfig(BaseModel):
+class FaviconCacheConfig(msgspec.Struct):  # pylint: disable=too-few-public-methods
     """Configuration of the favicon cache."""
 
     db_type: Literal["sqlite", "mem"] = "sqlite"

searx/favicons/config.py

@@ -4,9 +4,8 @@
 from __future__ import annotations
 
 import pathlib
-from pydantic import BaseModel
+import msgspec
 
-from searx.compat import tomllib
 from .cache import FaviconCacheConfig
 from .proxy import FaviconProxyConfig
 
@@ -19,7 +18,7 @@ TOML_CACHE_CFG: dict[str, "FaviconConfig"] = {}
 DEFAULT_CFG_TOML_PATH = pathlib.Path(__file__).parent / "favicons.toml"
 
 
-class FaviconConfig(BaseModel):
+class FaviconConfig(msgspec.Struct):  # pylint: disable=too-few-public-methods
     """The class aggregates configurations of the favicon tools"""
 
     cfg_schema: int
@@ -28,10 +27,10 @@ class FaviconConfig(BaseModel):
     By specifying a version, it is possible to ensure downward compatibility in
     the event of future changes to the configuration schema"""
 
-    cache: FaviconCacheConfig = FaviconCacheConfig()
+    cache: FaviconCacheConfig = FaviconCacheConfig
     """Setup of the :py:obj:`.cache.FaviconCacheConfig`."""
 
-    proxy: FaviconProxyConfig = FaviconProxyConfig()
+    proxy: FaviconProxyConfig = FaviconCacheConfig
     """Setup of the :py:obj:`.proxy.FaviconProxyConfig`."""
 
     @classmethod
@@ -45,18 +44,22 @@ class FaviconConfig(BaseModel):
             return cached
 
         with cfg_file.open("rb") as f:
+            data = f.read()
 
-            cfg = tomllib.load(f)
+        cfg = msgspec.toml.decode(data, type=_FaviconConfig)
-            cfg = cfg.get("favicons", cfg)
+        schema = cfg.favicons.cfg_schema
+        if schema != CONFIG_SCHEMA:
+            raise ValueError(
+                f"config schema version {CONFIG_SCHEMA} is needed, version {schema} is given in {cfg_file}"
+            )
 
-            schema = cfg.get("cfg_schema")
+        cfg = cfg.favicons
-            if schema != CONFIG_SCHEMA:
+        if use_cache and cached:
-                raise ValueError(
+            TOML_CACHE_CFG[str(cfg_file.resolve())] = cfg
-                    f"config schema version {CONFIG_SCHEMA} is needed, version {schema} is given in {cfg_file}"
-                )
 
-            cfg = cls(**cfg)
+        return cfg
-            if use_cache and cached:
-                TOML_CACHE_CFG[str(cfg_file.resolve())] = cfg
 
-            return cfg
+
+class _FaviconConfig(msgspec.Struct):  # pylint: disable=too-few-public-methods
+    # wrapper struct for root object "favicons."
+    favicons: FaviconConfig

searx/favicons/proxy.py

@@ -12,7 +12,7 @@ import urllib.parse
 
 import flask
 from httpx import HTTPError
-from pydantic import BaseModel
+import msgspec
 
 from searx import get_setting
 
@@ -41,7 +41,7 @@ def _initial_resolver_map():
     return d
 
 
-class FaviconProxyConfig(BaseModel):
+class FaviconProxyConfig(msgspec.Struct):
     """Configuration of the favicon proxy."""
 
     max_age: int = 60 * 60 * 24 * 7  # seven days
@@ -59,7 +59,7 @@ class FaviconProxyConfig(BaseModel):
     outgoing request of the resolver.  By default, the value from
     :ref:`outgoing.request_timeout <settings outgoing>` setting is used."""
 
-    resolver_map: dict[str, str] = _initial_resolver_map()
+    resolver_map: dict[str, str] = msgspec.field(default_factory=_initial_resolver_map)
     """The resolver_map is a key / value dictionary where the key is the name of
     the resolver and the value is the fully qualifying name (fqn) of resolver's
     function (the callable).  The resolvers from the python module