mirror of https://github.com/zulip/zulip.git
190 lines
7.6 KiB
Python
190 lines
7.6 KiB
Python
# When adding new functions/classes to this file, you need to also add
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# their types to request.pyi in this directory (a mypy stubs file that
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# we use to ensure mypy does correct type inference with REQ, which it
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# can't do by default due to the dynamic nature of REQ).
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#
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# Because request.pyi exists, the type annotations in this file are
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# mostly not processed by mypy.
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from functools import wraps
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import ujson
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from django.utils.translation import ugettext as _
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from zerver.lib.exceptions import JsonableError, ErrorCode
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from django.http import HttpRequest, HttpResponse
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from typing import Any, Callable, Type
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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 = var_name # type: str
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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 = var_name # type: str
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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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class REQ:
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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__(self, whence: str=None, *, converter: Callable[[Any], Any]=None,
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default: Any=NotSpecified, validator: Callable[[Any], Any]=None,
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str_validator: Callable[[Any], Any]=None,
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argument_type: str=None, type: Type=None) -> 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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type: a hint to typing (using mypy) what the type of this parameter is.
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Currently only typically necessary if default=None and the type cannot
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be inferred in another way (eg. via converter).
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"""
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self.post_var_name = whence
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self.func_var_name = None # type: str
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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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if converter and (validator or str_validator):
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# Not user-facing, so shouldn't be tagged for translation
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raise AssertionError('converter and validator are mutually exclusive')
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if validator and str_validator:
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# Not user-facing, so shouldn't be tagged for translation
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raise AssertionError('validator and str_validator are mutually exclusive')
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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):
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# type: (Callable[[HttpRequest, Any, Any], HttpResponse]) -> Callable[[HttpRequest, *Any, **Any], HttpResponse]
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num_params = view_func.__code__.co_argcount
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if view_func.__defaults__ is None:
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num_default_params = 0
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else:
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num_default_params = len(view_func.__defaults__)
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default_param_names = view_func.__code__.co_varnames[num_params - num_default_params:]
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default_param_values = view_func.__defaults__
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if default_param_values is None:
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default_param_values = []
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post_params = []
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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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@wraps(view_func)
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def _wrapped_view_func(request: HttpRequest, *args: Any, **kwargs: Any) -> HttpResponse:
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for param in post_params:
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if param.func_var_name in kwargs:
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continue
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if param.argument_type == 'body':
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try:
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val = ujson.loads(request.body)
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except ValueError:
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raise JsonableError(_('Malformed JSON'))
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kwargs[param.func_var_name] = val
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continue
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elif param.argument_type is not None:
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# This is a view bug, not a user error, and thus should throw a 500.
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raise Exception(_("Invalid argument type"))
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default_assigned = False
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try:
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query_params = request.GET.copy()
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query_params.update(request.POST)
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val = query_params[param.post_var_name]
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except KeyError:
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if param.default is REQ.NotSpecified:
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raise RequestVariableMissingError(param.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(param.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 = ujson.loads(val)
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except Exception:
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raise JsonableError(_('Argument "%s" is not valid JSON.') % (param.post_var_name,))
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error = param.validator(param.post_var_name, val)
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if error:
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raise JsonableError(error)
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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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error = param.str_validator(param.post_var_name, val)
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if error:
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raise JsonableError(error)
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kwargs[param.func_var_name] = val
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return view_func(request, *args, **kwargs)
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return _wrapped_view_func
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