mirror of https://github.com/searxng/searxng.git
63 lines
2.0 KiB
Python
63 lines
2.0 KiB
Python
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# SPDX-License-Identifier: AGPL-3.0-or-later
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# pylint: disable=missing-module-docstring
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from __future__ import annotations
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import pathlib
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from pydantic import BaseModel
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from searx.compat import tomllib
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from .cache import FaviconCacheConfig
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from .proxy import FaviconProxyConfig
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CONFIG_SCHEMA: int = 1
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"""Version of the configuration schema."""
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TOML_CACHE: dict[str, "FaviconConfig"] = {}
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"""Cache config objects by TOML's filename."""
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DEFAULT_CFG_TOML = pathlib.Path(__file__).parent / "favicons.toml"
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class FaviconConfig(BaseModel):
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"""The class aggregates configurations of the favicon tools"""
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cfg_schema: int
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"""Config's schema version. The specification of the version of the schema
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is mandatory, currently only version :py:obj:`CONFIG_SCHEMA` is supported.
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By specifying a version, it is possible to ensure downward compatibility in
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the event of future changes to the configuration schema"""
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cache: FaviconCacheConfig = FaviconCacheConfig()
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"""Setup of the :py:obj:`.cache.FaviconCacheConfig`."""
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proxy: FaviconProxyConfig = FaviconProxyConfig()
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"""Setup of the :py:obj:`.proxy.FaviconProxyConfig`."""
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@classmethod
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def from_toml_file(cls, cfg_file: pathlib.Path, use_cache: bool) -> "FaviconConfig":
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"""Create a config object from a TOML file, the ``use_cache`` argument
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specifies whether a cache should be used.
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"""
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cached = TOML_CACHE.get(str(cfg_file))
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if use_cache and cached:
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return cached
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with cfg_file.open("rb") as f:
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cfg = tomllib.load(f)
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cfg = cfg.get("favicons", cfg)
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schema = cfg.get("cfg_schema")
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if schema != CONFIG_SCHEMA:
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raise ValueError(
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f"config schema version {CONFIG_SCHEMA} is needed, version {schema} is given in {cfg_file}"
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)
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cfg = cls(**cfg)
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if use_cache and cached:
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TOML_CACHE[str(cfg_file.resolve())] = cfg
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return cfg
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