mirror of
https://github.com/searxng/searxng.git
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fd814aac86
This patch was inspired by the discussion around PR-2882 [2]. The goals of this patch are: 1. Convert plugin searx.plugin.limiter to normal code [1] 2. isolation of botdetection from the limiter [2] 3. searx/{tools => botdetection}/config.py and drop searx.tools 4. in URL /config, 'limiter.enabled' is true only if the limiter is really enabled (Redis is available). This patch moves all the code that belongs to botdetection into namespace searx.botdetection and code that belongs to limiter is placed in namespace searx.limiter. Tthe limiter used to be a plugin at some point botdetection was added, it was not a plugin. The modularization of these two components was long overdue. With the clear modularization, the documentation could then also be organized according to the architecture. [1] https://github.com/searxng/searxng/pull/2882 [2] https://github.com/searxng/searxng/pull/2882#issuecomment-1741716891 To test: - check the app works without the limiter, check `/config` - check the app works with the limiter and with the token, check `/config` - make docs.live .. and read - http://0.0.0.0:8000/admin/searx.limiter.html - http://0.0.0.0:8000/src/searx.botdetection.html#botdetection Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>
377 lines
12 KiB
Python
377 lines
12 KiB
Python
# SPDX-License-Identifier: AGPL-3.0-or-later
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# lint: pylint
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"""Configuration class :py:class:`Config` with deep-update, schema validation
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and deprecated names.
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The :py:class:`Config` class implements a configuration that is based on
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structured dictionaries. The configuration schema is defined in a dictionary
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structure and the configuration data is given in a dictionary structure.
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"""
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from __future__ import annotations
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from typing import Any
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import copy
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import typing
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import logging
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import pathlib
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import pytomlpp as toml
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__all__ = ['Config', 'UNSET', 'SchemaIssue']
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log = logging.getLogger(__name__)
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class FALSE:
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"""Class of ``False`` singelton"""
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# pylint: disable=multiple-statements
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def __init__(self, msg):
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self.msg = msg
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def __bool__(self):
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return False
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def __str__(self):
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return self.msg
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__repr__ = __str__
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UNSET = FALSE('<UNSET>')
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class SchemaIssue(ValueError):
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"""Exception to store and/or raise a message from a schema issue."""
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def __init__(self, level: typing.Literal['warn', 'invalid'], msg: str):
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self.level = level
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super().__init__(msg)
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def __str__(self):
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return f"[cfg schema {self.level}] {self.args[0]}"
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class Config:
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"""Base class used for configuration"""
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UNSET = UNSET
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@classmethod
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def from_toml(cls, schema_file: pathlib.Path, cfg_file: pathlib.Path, deprecated: dict) -> Config:
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# init schema
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log.debug("load schema file: %s", schema_file)
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cfg = cls(cfg_schema=toml.load(schema_file), deprecated=deprecated)
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if not cfg_file.exists():
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log.warning("missing config file: %s", cfg_file)
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return cfg
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# load configuration
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log.debug("load config file: %s", cfg_file)
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try:
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upd_cfg = toml.load(cfg_file)
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except toml.DecodeError as exc:
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msg = str(exc).replace('\t', '').replace('\n', ' ')
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log.error("%s: %s", cfg_file, msg)
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raise
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is_valid, issue_list = cfg.validate(upd_cfg)
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for msg in issue_list:
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log.error(str(msg))
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if not is_valid:
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raise TypeError(f"schema of {cfg_file} is invalid!")
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cfg.update(upd_cfg)
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return cfg
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def __init__(self, cfg_schema: typing.Dict, deprecated: typing.Dict[str, str]):
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"""Construtor of class Config.
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:param cfg_schema: Schema of the configuration
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:param deprecated: dictionary that maps deprecated configuration names to a messages
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These values are needed for validation, see :py:obj:`validate`.
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"""
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self.cfg_schema = cfg_schema
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self.deprecated = deprecated
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self.cfg = copy.deepcopy(cfg_schema)
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def __getitem__(self, key: str) -> Any:
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return self.get(key)
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def validate(self, cfg: dict):
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"""Validation of dictionary ``cfg`` on :py:obj:`Config.SCHEMA`.
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Validation is done by :py:obj:`validate`."""
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return validate(self.cfg_schema, cfg, self.deprecated)
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def update(self, upd_cfg: dict):
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"""Update this configuration by ``upd_cfg``."""
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dict_deepupdate(self.cfg, upd_cfg)
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def default(self, name: str):
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"""Returns default value of field ``name`` in ``self.cfg_schema``."""
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return value(name, self.cfg_schema)
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def get(self, name: str, default: Any = UNSET, replace: bool = True) -> Any:
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"""Returns the value to which ``name`` points in the configuration.
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If there is no such ``name`` in the config and the ``default`` is
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:py:obj:`UNSET`, a :py:obj:`KeyError` is raised.
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"""
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parent = self._get_parent_dict(name)
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val = parent.get(name.split('.')[-1], UNSET)
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if val is UNSET:
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if default is UNSET:
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raise KeyError(name)
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val = default
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if replace and isinstance(val, str):
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val = val % self
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return val
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def set(self, name: str, val):
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"""Set the value to which ``name`` points in the configuration.
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If there is no such ``name`` in the config, a :py:obj:`KeyError` is
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raised.
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"""
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parent = self._get_parent_dict(name)
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parent[name.split('.')[-1]] = val
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def _get_parent_dict(self, name):
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parent_name = '.'.join(name.split('.')[:-1])
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if parent_name:
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parent = value(parent_name, self.cfg)
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else:
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parent = self.cfg
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if (parent is UNSET) or (not isinstance(parent, dict)):
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raise KeyError(parent_name)
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return parent
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def path(self, name: str, default=UNSET):
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"""Get a :py:class:`pathlib.Path` object from a config string."""
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val = self.get(name, default)
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if val is UNSET:
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if default is UNSET:
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raise KeyError(name)
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return default
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return pathlib.Path(str(val))
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def pyobj(self, name, default=UNSET):
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"""Get python object refered by full qualiffied name (FQN) in the config
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string."""
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fqn = self.get(name, default)
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if fqn is UNSET:
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if default is UNSET:
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raise KeyError(name)
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return default
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(modulename, name) = str(fqn).rsplit('.', 1)
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m = __import__(modulename, {}, {}, [name], 0)
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return getattr(m, name)
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# working with dictionaries
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def value(name: str, data_dict: dict):
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"""Returns the value to which ``name`` points in the ``dat_dict``.
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.. code: python
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>>> data_dict = {
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"foo": {"bar": 1 },
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"bar": {"foo": 2 },
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"foobar": [1, 2, 3],
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}
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>>> value('foobar', data_dict)
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[1, 2, 3]
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>>> value('foo.bar', data_dict)
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1
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>>> value('foo.bar.xxx', data_dict)
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<UNSET>
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"""
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ret_val = data_dict
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for part in name.split('.'):
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if isinstance(ret_val, dict):
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ret_val = ret_val.get(part, UNSET)
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if ret_val is UNSET:
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break
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return ret_val
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def validate(
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schema_dict: typing.Dict, data_dict: typing.Dict, deprecated: typing.Dict[str, str]
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) -> typing.Tuple[bool, list]:
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"""Deep validation of dictionary in ``data_dict`` against dictionary in
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``schema_dict``. Argument deprecated is a dictionary that maps deprecated
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configuration names to a messages::
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deprecated = {
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"foo.bar" : "config 'foo.bar' is deprecated, use 'bar.foo'",
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"..." : "..."
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}
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The function returns a python tuple ``(is_valid, issue_list)``:
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``is_valid``:
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A bool value indicating ``data_dict`` is valid or not.
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``issue_list``:
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A list of messages (:py:obj:`SchemaIssue`) from the validation::
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[schema warn] data_dict: deprecated 'fontlib.foo': <DEPRECATED['foo.bar']>
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[schema invalid] data_dict: key unknown 'fontlib.foo'
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[schema invalid] data_dict: type mismatch 'fontlib.foo': expected ..., is ...
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If ``schema_dict`` or ``data_dict`` is not a dictionary type a
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:py:obj:`SchemaIssue` is raised.
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"""
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names = []
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is_valid = True
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issue_list = []
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if not isinstance(schema_dict, dict):
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raise SchemaIssue('invalid', "schema_dict is not a dict type")
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if not isinstance(data_dict, dict):
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raise SchemaIssue('invalid', f"data_dict issue{'.'.join(names)} is not a dict type")
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is_valid, issue_list = _validate(names, issue_list, schema_dict, data_dict, deprecated)
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return is_valid, issue_list
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def _validate(
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names: typing.List,
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issue_list: typing.List,
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schema_dict: typing.Dict,
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data_dict: typing.Dict,
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deprecated: typing.Dict[str, str],
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) -> typing.Tuple[bool, typing.List]:
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is_valid = True
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for key, data_value in data_dict.items():
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names.append(key)
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name = '.'.join(names)
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deprecated_msg = deprecated.get(name)
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# print("XXX %s: key %s // data_value: %s" % (name, key, data_value))
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if deprecated_msg:
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issue_list.append(SchemaIssue('warn', f"data_dict '{name}': deprecated - {deprecated_msg}"))
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schema_value = value(name, schema_dict)
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# print("YYY %s: key %s // schema_value: %s" % (name, key, schema_value))
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if schema_value is UNSET:
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if not deprecated_msg:
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issue_list.append(SchemaIssue('invalid', f"data_dict '{name}': key unknown in schema_dict"))
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is_valid = False
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elif type(schema_value) != type(data_value): # pylint: disable=unidiomatic-typecheck
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issue_list.append(
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SchemaIssue(
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'invalid',
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(f"data_dict: type mismatch '{name}':" f" expected {type(schema_value)}, is: {type(data_value)}"),
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)
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)
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is_valid = False
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elif isinstance(data_value, dict):
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_valid, _ = _validate(names, issue_list, schema_dict, data_value, deprecated)
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is_valid = is_valid and _valid
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names.pop()
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return is_valid, issue_list
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def dict_deepupdate(base_dict: dict, upd_dict: dict, names=None):
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"""Deep-update of dictionary in ``base_dict`` by dictionary in ``upd_dict``.
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For each ``upd_key`` & ``upd_val`` pair in ``upd_dict``:
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0. If types of ``base_dict[upd_key]`` and ``upd_val`` do not match raise a
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:py:obj:`TypeError`.
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1. If ``base_dict[upd_key]`` is a dict: recursively deep-update it by ``upd_val``.
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2. If ``base_dict[upd_key]`` not exist: set ``base_dict[upd_key]`` from a
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(deep-) copy of ``upd_val``.
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3. If ``upd_val`` is a list, extend list in ``base_dict[upd_key]`` by the
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list in ``upd_val``.
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4. If ``upd_val`` is a set, update set in ``base_dict[upd_key]`` by set in
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``upd_val``.
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"""
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# pylint: disable=too-many-branches
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if not isinstance(base_dict, dict):
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raise TypeError("argument 'base_dict' is not a ditionary type")
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if not isinstance(upd_dict, dict):
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raise TypeError("argument 'upd_dict' is not a ditionary type")
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if names is None:
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names = []
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for upd_key, upd_val in upd_dict.items():
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# For each upd_key & upd_val pair in upd_dict:
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if isinstance(upd_val, dict):
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if upd_key in base_dict:
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# if base_dict[upd_key] exists, recursively deep-update it
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if not isinstance(base_dict[upd_key], dict):
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raise TypeError(f"type mismatch {'.'.join(names)}: is not a dict type in base_dict")
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dict_deepupdate(
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base_dict[upd_key],
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upd_val,
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names
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+ [
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upd_key,
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],
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)
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else:
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# if base_dict[upd_key] not exist, set base_dict[upd_key] from deepcopy of upd_val
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base_dict[upd_key] = copy.deepcopy(upd_val)
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elif isinstance(upd_val, list):
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if upd_key in base_dict:
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# if base_dict[upd_key] exists, base_dict[up_key] is extended by
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# the list from upd_val
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if not isinstance(base_dict[upd_key], list):
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raise TypeError(f"type mismatch {'.'.join(names)}: is not a list type in base_dict")
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base_dict[upd_key].extend(upd_val)
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else:
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# if base_dict[upd_key] doesn't exists, set base_dict[key] from a deepcopy of the
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# list in upd_val.
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base_dict[upd_key] = copy.deepcopy(upd_val)
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elif isinstance(upd_val, set):
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if upd_key in base_dict:
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# if base_dict[upd_key] exists, base_dict[up_key] is updated by the set in upd_val
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if not isinstance(base_dict[upd_key], set):
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raise TypeError(f"type mismatch {'.'.join(names)}: is not a set type in base_dict")
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base_dict[upd_key].update(upd_val.copy())
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else:
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# if base_dict[upd_key] doesn't exists, set base_dict[upd_key] from a copy of the
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# set in upd_val
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base_dict[upd_key] = upd_val.copy()
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else:
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# for any other type of upd_val replace or add base_dict[upd_key] by a copy
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# of upd_val
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base_dict[upd_key] = copy.copy(upd_val)
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