mirror of https://github.com/zulip/zulip.git
389 lines
14 KiB
Python
389 lines
14 KiB
Python
import threading
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from collections import defaultdict
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from functools import wraps
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from types import FunctionType
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from typing import (
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Any,
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Callable,
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Dict,
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Generic,
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List,
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Optional,
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Sequence,
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TypeVar,
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Union,
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cast,
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overload,
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)
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import orjson
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from django.core.exceptions import ValidationError
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from django.http import HttpRequest, HttpResponse
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from django.utils.translation import ugettext as _
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from typing_extensions import Literal
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from zerver.lib.exceptions import ErrorCode, InvalidJSONError, JsonableError
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from zerver.lib.types import Validator, ViewFuncT
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class RequestConfusingParmsError(JsonableError):
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code = ErrorCode.REQUEST_CONFUSING_VAR
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data_fields = ['var_name1', 'var_name2']
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def __init__(self, var_name1: str, var_name2: str) -> None:
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self.var_name1: str = var_name1
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self.var_name2: str = var_name2
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@staticmethod
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def msg_format() -> str:
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return _("Can't decide between '{var_name1}' and '{var_name2}' arguments")
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class RequestVariableMissingError(JsonableError):
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code = ErrorCode.REQUEST_VARIABLE_MISSING
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data_fields = ['var_name']
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def __init__(self, var_name: str) -> None:
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self.var_name: str = var_name
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@staticmethod
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def msg_format() -> str:
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return _("Missing '{var_name}' argument")
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class RequestVariableConversionError(JsonableError):
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code = ErrorCode.REQUEST_VARIABLE_INVALID
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data_fields = ['var_name', 'bad_value']
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def __init__(self, var_name: str, bad_value: Any) -> None:
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self.var_name: str = var_name
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self.bad_value = bad_value
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@staticmethod
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def msg_format() -> str:
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return _("Bad value for '{var_name}': {bad_value}")
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# Used in conjunction with @has_request_variables, below
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ResultT = TypeVar('ResultT')
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class _REQ(Generic[ResultT]):
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# NotSpecified is a sentinel value for determining whether a
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# default value was specified for a request variable. We can't
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# use None because that could be a valid, user-specified default
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class _NotSpecified:
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pass
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NotSpecified = _NotSpecified()
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def __init__(
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self,
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whence: Optional[str] = None,
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*,
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converter: Optional[Callable[[str], ResultT]] = None,
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default: Union[_NotSpecified, ResultT, None] = NotSpecified,
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validator: Optional[Validator[ResultT]] = None,
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str_validator: Optional[Validator[ResultT]] = None,
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argument_type: Optional[str] = None,
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intentionally_undocumented: bool=False,
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documentation_pending: bool=False,
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aliases: Sequence[str] = [],
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path_only: bool=False
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) -> None:
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"""whence: the name of the request variable that should be used
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for this parameter. Defaults to a request variable of the
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same name as the parameter.
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converter: a function that takes a string and returns a new
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value. If specified, this will be called on the request
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variable value before passing to the function
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default: a value to be used for the argument if the parameter
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is missing in the request
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validator: similar to converter, but takes an already parsed JSON
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data structure. If specified, we will parse the JSON request
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variable value before passing to the function
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str_validator: Like validator, but doesn't parse JSON first.
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argument_type: pass 'body' to extract the parsed JSON
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corresponding to the request body
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aliases: alternate names for the POST var
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path_only: Used for parameters included in the URL that we still want
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to validate via REQ's hooks.
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"""
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self.post_var_name = whence
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self.func_var_name: Optional[str] = None
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self.converter = converter
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self.validator = validator
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self.str_validator = str_validator
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self.default = default
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self.argument_type = argument_type
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self.aliases = aliases
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self.intentionally_undocumented = intentionally_undocumented
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self.documentation_pending = documentation_pending
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self.path_only = path_only
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assert converter is None or (validator is None and str_validator is None), 'converter and validator are mutually exclusive'
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assert validator is None or str_validator is None, 'validator and str_validator are mutually exclusive'
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# This factory function ensures that mypy can correctly analyze REQ.
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#
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# Note that REQ claims to return a type matching that of the parameter
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# of which it is the default value, allowing type checking of view
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# functions using has_request_variables. In reality, REQ returns an
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# instance of class _REQ to enable the decorator to scan the parameter
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# list for _REQ objects and patch the parameters as the true types.
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#
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# See also this documentation to learn how @overload helps here.
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# https://zulip.readthedocs.io/en/latest/testing/mypy.html#using-overload-to-accurately-describe-variations
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#
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# Overload 1: converter
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@overload
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def REQ(
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whence: Optional[str] = ...,
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*,
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converter: Callable[[str], ResultT],
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default: ResultT = ...,
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intentionally_undocumented: bool = ...,
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documentation_pending: bool = ...,
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aliases: Sequence[str] = ...,
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path_only: bool = ...
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) -> ResultT:
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...
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# Overload 2: validator
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@overload
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def REQ(
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whence: Optional[str] = ...,
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*,
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default: ResultT = ...,
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validator: Validator[ResultT],
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intentionally_undocumented: bool = ...,
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documentation_pending: bool = ...,
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aliases: Sequence[str] = ...,
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path_only: bool = ...
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) -> ResultT:
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...
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# Overload 3: no converter/validator, default: str or unspecified, argument_type=None
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@overload
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def REQ(
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whence: Optional[str] = ...,
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*,
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default: str = ...,
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str_validator: Optional[Validator[str]] = ...,
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intentionally_undocumented: bool = ...,
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documentation_pending: bool = ...,
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aliases: Sequence[str] = ...,
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path_only: bool = ...
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) -> str:
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...
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# Overload 4: no converter/validator, default=None, argument_type=None
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@overload
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def REQ(
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whence: Optional[str] = ...,
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*,
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default: None,
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str_validator: Optional[Validator[str]] = ...,
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intentionally_undocumented: bool = ...,
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documentation_pending: bool = ...,
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aliases: Sequence[str] = ...,
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path_only: bool = ...
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) -> Optional[str]:
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...
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# Overload 5: argument_type="body"
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@overload
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def REQ(
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whence: Optional[str] = ...,
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*,
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default: ResultT = ...,
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argument_type: Literal["body"],
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intentionally_undocumented: bool = ...,
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documentation_pending: bool = ...,
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aliases: Sequence[str] = ...,
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path_only: bool = ...
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) -> ResultT:
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...
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# Implementation
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def REQ(
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whence: Optional[str] = None,
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*,
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converter: Optional[Callable[[str], ResultT]] = None,
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default: Union[_REQ._NotSpecified, ResultT] = _REQ.NotSpecified,
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validator: Optional[Validator[ResultT]] = None,
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str_validator: Optional[Validator[ResultT]] = None,
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argument_type: Optional[str] = None,
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intentionally_undocumented: bool=False,
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documentation_pending: bool=False,
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aliases: Sequence[str] = [],
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path_only: bool = False
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) -> ResultT:
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return cast(ResultT, _REQ(
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whence,
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converter=converter,
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default=default,
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validator=validator,
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str_validator=str_validator,
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argument_type=argument_type,
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intentionally_undocumented=intentionally_undocumented,
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documentation_pending=documentation_pending,
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aliases=aliases,
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path_only=path_only,
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))
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arguments_map: Dict[str, List[str]] = defaultdict(list)
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# Extracts variables from the request object and passes them as
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# named function arguments. The request object must be the first
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# argument to the function.
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#
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# To use, assign a function parameter a default value that is an
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# instance of the _REQ class. That parameter will then be automatically
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# populated from the HTTP request. The request object must be the
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# first argument to the decorated function.
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#
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# This should generally be the innermost (syntactically bottommost)
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# decorator applied to a view, since other decorators won't preserve
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# the default parameter values used by has_request_variables.
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#
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# Note that this can't be used in helper functions which are not
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# expected to call json_error or json_success, as it uses json_error
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# internally when it encounters an error
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def has_request_variables(view_func: ViewFuncT) -> ViewFuncT:
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num_params = view_func.__code__.co_argcount
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default_param_values = cast(FunctionType, view_func).__defaults__
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if default_param_values is None:
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default_param_values = ()
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num_default_params = len(default_param_values)
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default_param_names = view_func.__code__.co_varnames[num_params - num_default_params:]
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post_params = []
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view_func_full_name = '.'.join([view_func.__module__, view_func.__name__])
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for (name, value) in zip(default_param_names, default_param_values):
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if isinstance(value, _REQ):
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value.func_var_name = name
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if value.post_var_name is None:
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value.post_var_name = name
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post_params.append(value)
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# Record arguments that should be documented so that our
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# automated OpenAPI docs tests can compare these against the code.
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if (not value.intentionally_undocumented
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and not value.documentation_pending
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and not value.path_only):
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arguments_map[view_func_full_name].append(value.post_var_name)
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@wraps(view_func)
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def _wrapped_view_func(request: HttpRequest, *args: object, **kwargs: object) -> HttpResponse:
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for param in post_params:
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func_var_name = param.func_var_name
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if param.path_only:
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# For path_only parameters, they should already have
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# been passed via the URL, so there's no need for REQ
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# to do anything.
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#
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# TODO: Either run validators for path_only parameters
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# or don't declare them using REQ.
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assert func_var_name in kwargs
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if func_var_name in kwargs:
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continue
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assert func_var_name is not None
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if param.argument_type == 'body':
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try:
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val = orjson.loads(request.body)
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except orjson.JSONDecodeError:
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raise InvalidJSONError(_("Malformed JSON"))
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kwargs[func_var_name] = val
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continue
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else:
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# This is a view bug, not a user error, and thus should throw a 500.
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assert param.argument_type is None, "Invalid argument type"
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post_var_names = [param.post_var_name]
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post_var_names += param.aliases
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default_assigned = False
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post_var_name: Optional[str] = None
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for req_var in post_var_names:
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if req_var in request.POST:
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val = request.POST[req_var]
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elif req_var in request.GET:
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val = request.GET[req_var]
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else:
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# This is covered by test_REQ_aliases, but coverage.py
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# fails to recognize this for some reason.
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continue # nocoverage
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if post_var_name is not None:
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assert req_var is not None
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raise RequestConfusingParmsError(post_var_name, req_var)
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post_var_name = req_var
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if post_var_name is None:
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post_var_name = param.post_var_name
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assert post_var_name is not None
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if param.default is _REQ.NotSpecified:
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raise RequestVariableMissingError(post_var_name)
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val = param.default
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default_assigned = True
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if param.converter is not None and not default_assigned:
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try:
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val = param.converter(val)
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except JsonableError:
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raise
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except Exception:
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raise RequestVariableConversionError(post_var_name, val)
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# Validators are like converters, but they don't handle JSON parsing; we do.
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if param.validator is not None and not default_assigned:
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try:
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val = orjson.loads(val)
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except orjson.JSONDecodeError:
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raise JsonableError(_('Argument "{}" is not valid JSON.').format(post_var_name))
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try:
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val = param.validator(post_var_name, val)
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except ValidationError as error:
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raise JsonableError(error.message)
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# str_validators is like validator, but for direct strings (no JSON parsing).
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if param.str_validator is not None and not default_assigned:
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try:
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val = param.str_validator(post_var_name, val)
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except ValidationError as error:
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raise JsonableError(error.message)
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kwargs[func_var_name] = val
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return view_func(request, *args, **kwargs)
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return cast(ViewFuncT, _wrapped_view_func) # https://github.com/python/mypy/issues/1927
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local = threading.local()
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def get_current_request() -> Optional[HttpRequest]:
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"""Returns the current HttpRequest object; this should only be used by
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logging frameworks, which have no other access to the current
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request. All other codepaths should pass through the current
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request object, rather than rely on this thread-local global.
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"""
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return getattr(local, 'request', None)
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def set_request(req: HttpRequest) -> None:
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setattr(local, 'request', req)
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def unset_request() -> None:
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if hasattr(local, 'request'):
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delattr(local, 'request')
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