You can import all these objects directly from werkzeug.
A MultiDict is a dictionary subclass customized to deal with multiple values for the same key which is for example used by the parsing functions in the wrappers. This is necessary because some HTML form elements pass multiple values for the same key.
MultiDict implements the all standard dictionary methods. Internally, it saves all values for a key as a list, but the standard dict access methods will only return the first value for a key. If you want to gain access to the other values too you have to use the list methods as explained below.
Basic Usage:
>>> d = MultiDict([('a', 'b'), ('a', 'c')])
>>> d
MultiDict([('a', 'b'), ('a', 'c')])
>>> d['a']
'b'
>>> d.getlist('a')
['b', 'c']
>>> 'a' in d
True
It behaves like a normal dict thus all dict functions will only return the first value when multiple values for one key are found.
From Werkzeug 0.3 onwards, the KeyError raised by this class is also a subclass of the BadRequest HTTP exception and will render a page for a 400 BAD REQUEST if catched in a catch-all for HTTP exceptions.
A MultiDict can be constructed from an iterable of (key, value) tuples, a dict, a MultiDict or with Werkzeug 0.2 onwards some keyword parameters.
Parameter: | mapping – the initial value for the MultiDict. Either a regular dict, an iterable of (key, value) tuples or None. |
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Return the default value if the requested data doesn’t exist. If type is provided and is a callable it should convert the value, return it or raise a ValueError if that is not possible. In this case the function will return the default as if the value was not found:
>>> d = MultiDict(dict(foo='42', bar='blub'))
>>> d.get('foo', type=int)
42
>>> d.get('bar', -1, type=int)
-1
Parameters: |
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Return the list of items for a given key. If that key is not in the MultiDict, the return value will be an empty list. Just as get getlist accepts a type parameter. All items will be converted with the callable defined there.
Parameters: |
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Returns: | a list of all the values for the key. |
Return a list of (key, value) pairs, where value is the first item in the list associated with the key.
Returns: | a list |
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Return a list of (key, value) pairs, where values is the list of all values assoiciated with the key.
Returns: | a list |
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Return a list of all values assoiciated with a key. Zipping keys() and this is the same as calling lists():
>>> d = MultiDict({"foo": [1, 2, 3]})
>>> zip(d.keys(), d.listvalues()) == d.lists()
True
Returns: | a list |
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Pop the first item for a list on the dict. Afterwards the key is removed from the dict, so additional values are discarded:
>>> d = MultiDict({"foo": [1, 2, 3]})
>>> d.pop("foo")
1
>>> "foo" in d
False
Parameters: |
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Pop the list for a key from the dict. If the key is not in the dict an empty list is returned.
Changed in version 0.5: If the key does no longer exist a list is returned instead of raising an error.
Returns the value for the key if it is in the dict, otherwise it returns default and sets that value for key.
Parameters: |
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Remove the old values for a key and add new ones. Note that the list you pass the values in will be shallow-copied before it is inserted in the dictionary.
>>> d = MultiDict()
>>> d.setlist('foo', ['1', '2'])
>>> d['foo']
'1'
>>> d.getlist('foo')
['1', '2']
Parameters: |
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Like setdefault but sets multiple values.
Parameters: |
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Returns: | a list |
Return the contents as regular dict. If flat is True the returned dict will only have the first item present, if flat is False all values will be returned as lists.
Parameter: | flat – If set to False the dict returned will have lists with all the values in it. Otherwise it will only contain the first item for each key. |
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Returns: | a dict |
A read only MultiDict that you can pass multiple MultiDict instances as sequence and it will combine the return values of all wrapped dicts:
>>> from werkzeug import MultiDict, CombinedMultiDict
>>> post = MultiDict([('foo', 'bar')])
>>> get = MultiDict([('blub', 'blah')])
>>> combined = CombinedMultiDict([get, post])
>>> combined['foo']
'bar'
>>> combined['blub']
'blah'
This works for all read operations and will raise a TypeError for methods that usually change data which isn’t possible.
From Werkzeug 0.3 onwards, the KeyError raised by this class is also a subclass of the BadRequest HTTP exception and will render a page for a 400 BAD REQUEST if catched in a catch-all for HTTP exceptions.
The FileStorage class is a thin wrapper over incoming files. It is used by the request object to represent uploaded files. All the attributes of the wrapper stream are proxied by the file storage so it’s possible to do storage.read() instead of the long form storage.stream.read().
Save the file to a destination path or file object. If the destination is a file object you have to close it yourself after the call. The buffer size is the number of bytes held in the memory during the copy process. It defaults to 16KB.
Parameters: |
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An object that stores some headers. It has a dict like interface but is ordered and can store keys multiple times.
This data structure is useful if you want a nicer way to handle WSGI headers which are stored as tuples in a list.
From Werkzeug 0.3 onwards, the KeyError raised by this class is also a subclass of the BadRequest HTTP exception and will render a page for a 400 BAD REQUEST if catched in a catch-all for HTTP exceptions.
Headers is mostly compatible with the Python wsgiref.headers.Headers class, with the exception of __getitem__. wsgiref will return None for headers['missing'], whereas Headers will raise a KeyError.
To create a new Headers object pass it a list or dict of headers which are used as default values. This does not reuse the list passed to the constructor for internal usage. To create a Headers object that uses as internal storage the list or list-like object you can use the linked() class method.
Parameter: | defaults – The list of default values for the Headers. |
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Add a new header tuple to the list.
Keyword arguments can specify additional parameters for the header value, with underscores converted to dashes:
>>> d = Headers()
>>> d.add('Content-Type', 'text/plain')
>>> d.add('Content-Disposition', 'attachment', filename='foo.png')
The keyword argument dumping uses dump_options_header() behind the scenes.
New in version 0.4.1: keyword arguments were added for wsgiref compatibility.
Add a new header tuple to the list.
An alias for add() for compatibility with the wsgiref add_header() method.
Return the default value if the requested data doesn’t exist. If type is provided and is a callable it should convert the value, return it or raise a ValueError if that is not possible. In this case the function will return the default as if the value was not found:
>>> d = Headers([('Content-Length', '42')])
>>> d.get('Content-Length', type=int)
42
If a headers object is bound you must notadd unicode strings because no encoding takes place.
Parameters: |
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Return a list of all the values for the named field.
This method is compatible with the wsgiref get_all() method.
Return the list of items for a given key. If that key is not in the Headers, the return value will be an empty list. Just as get() getlist() accepts a type parameter. All items will be converted with the callable defined there.
Parameters: |
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Returns: | a list of all the values for the key. |
Create a new Headers object that uses the list of headers passed as internal storage:
>>> headerlist = [('Content-Length', '40')]
>>> headers = Headers.linked(headerlist)
>>> headers.add('Content-Type', 'text/html')
>>> headerlist
[('Content-Length', '40'), ('Content-Type', 'text/html')]
Parameter: | headerlist – The list of headers the class is linked to. |
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Returns: | new linked Headers object. |
Removes and returns a key or index.
Parameter: | key – The key to be popped. If this is an integer the item at that position is removed, if it’s a string the value for that key is. If the key is omitted or None the last item is removed. |
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Returns: | an item. |
Remove a key.
Parameter: | key – The key to be removed. |
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Remove all header tuples for key and add a new one. The newly added key either appears at the end of the list if there was no entry or replaces the first one.
Parameters: |
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Returns the value for the key if it is in the dict, otherwise it returns default and sets that value for key.
Parameters: |
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Convert the headers into a list and converts the unicode header items to the specified charset.
Returns: | list |
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Read only version of the headers from a WSGI environment. This provides the same interface as Headers and is constructed from a WSGI environment.
From Werkzeug 0.3 onwards, the KeyError raised by this class is also a subclass of the BadRequest HTTP exception and will render a page for a 400 BAD REQUEST if catched in a catch-all for HTTP exceptions.
An Accept object is just a list subclass for lists of (value, quality) tuples. It is automatically sorted by quality.
Get the position of an entry or return -1.
Parameter: | key – The key to be looked up. |
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Get the position of en entry or raise IndexError.
Parameter: | key – The key to be looked up. |
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Like Accept but with special methods and behavior for mimetypes.
Subclass of a dict that stores values for a Cache-Control header. It has accesors for all the cache-control directives specified in RFC 2616. The class does not differentiate between request and response directives.
Because the cache-control directives in the HTTP header use dashes the python descriptors use underscores for that.
To get a header of the CacheControl object again you can convert the object into a string or call the to_header() method. If you plan to subclass it and add your own items have a look at the sourcecode for that class.
The following attributes are exposed:
no_cache, no_store, max_age, max_stale, min_fresh, no_transform, only_if_cached, public, private, must_revalidate, proxy_revalidate, and s_maxage
Changed in version 0.4.
Similar to the ETags class this implements a set like structure. Unlike ETags this is case insensitive and used for vary, allow, and content-language headers.
If not constructed using the parse_set_header() function the instanciation works like this:
>>> hs = HeaderSet(['foo', 'bar', 'baz'])
>>> hs
HeaderSet(['foo', 'bar', 'baz'])
Return the set as real python set structure. When calling this all the items are converted to lowercase and the ordering is lost.
Parameter: | preserve_casing – if set to True the items in the set returned will have the original case like in the HeaderSet, otherwise they will be lowercase. |
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Return the index of the header in the set or return -1 if not found.
Parameter: | header – the header to be looked up. |
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Return the index of the headerin the set or raise an IndexError.
Parameter: | header – the header to be looked up. |
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Remove a layer from the set. This raises an KeyError if the header is not in the set.
Changed in version 0.5: In older version a IndexError was raised instead of an KeyError if the object was missing.
Parameter: | header – the header to be removed. |
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Add all the headers from the iterable to the set.
Parameter: | iterable – updates the set with the items from the iterable. |
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Represents a user agent. Pass it a WSGI environment or an user agent string and you can inspect some of the details from the user agent string via the attributes. The following attribute exist:
A set that can be used to check if one etag is present in a collection of etags.
Represents an Authorization header sent by the client. You should not create this kind of object yourself but use it when it’s returned by the parse_authorization_header function.
This object is a dict subclass and can be altered by setting dict items but it should be considered immutable as it’s returned by the client and not meant for modifications.
Provides simple access to WWW-Authenticate headers.
A static helper function for subclasses to add extra authentication system properites onto a class:
class FooAuthenticate(WWWAuthenticate):
special_realm = auth_property('special_realm')
For more information have a look at the sourcecode to see how the regular properties (realm etc. are implemented).
A WSGI middleware that provides static content for development environments or simple server setups. Usage is quite simple:
import os
from werkzeug import SharedDataMiddleware
app = SharedDataMiddleware(app, {
'/shared': os.path.join(os.path.dirname(__file__), 'shared')
})
The contents of the folder ./shared will now be available on http://example.com/shared/. This is pretty useful during development because a standalone media server is not required. One can also mount files on the root folder and still continue to use the application because the shared data middleware forwards all unhandled requests to the application, even if the requests are below one of the shared folders.
If pkg_resources is available you can also tell the middleware to serve files from package data:
app = SharedDataMiddleware(app, {
'/shared': ('myapplication', 'shared_files')
})
This will then serve the shared_files folder in the myapplication Python package.
The optional disallow parameter can be a list of fnmatch rules for files that are not accessible from the web. If cache is set to False no caching headers are sent.
Allows one to mount middlewares or application in a WSGI application. This is useful if you want to combine multiple WSGI applications:
app = DispatcherMiddleware(app, {
'/app2': app2,
'/app3': app3
})
The WSGI specification requires that all middlewares and gateways respect the close callback of an iterator. Because it is useful to add another close action to a returned iterator and adding a custom iterator is a boring task this class can be used for that:
return ClosingIterator(app(environ, start_response), [cleanup_session,
cleanup_locals])
If there is just one close function it can be bassed instead of the list.
A closing iterator is non needed if the application uses response objects and finishes the processing if the resonse is started:
try:
return response(environ, start_response)
finally:
cleanup_session()
cleanup_locals()
This class can be used to convert a file-like object into an iterable. It yields buffer_size blocks until the file is fully read.
You should not use this class directly but rather use the wrap_file() function that uses the WSGI server’s file wrapper support if it’s available.
New in version 0.5.
Parameters: |
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Wraps a stream so that it doesn’t read more than n bytes. If the stream is exhausted and the caller tries to get more bytes from it on_exhausted() is called which by default raises a BadRequest. The return value of that function is forwarded to the reader function. So if it returns an empty string read() will return an empty string as well.
The limit however must never be higher than what the stream can output. Otherwise readlines() will try to read past the limit.
The silent parameter has no effect if is_exhausted() is overriden by a subclass.
Parameters: |
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Exhaust the stream. This consumes all the data left until the limit is reached.
Parameter: | chunk_size – the size for a chunk. It will read the chunk until the stream is exhausted and throw away the results. |
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This is called when the stream tries to read past the limit. The return value of this function is returned from the reading function.
Per default this raises a BadRequest.
Read size bytes or if size is not provided everything is read.
Parameter: | size – the number of bytes read. |
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Return the real host for the given WSGI environment. This takes care of the X-Forwarded-Host header.
Parameter: | environ – the WSGI environment to get the host of. |
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A handy helper function that recreates the full URL for the current request or parts of it. Here an example:
>>> env = create_environ("/?param=foo", "http://localhost/script")
>>> get_current_url(env)
'http://localhost/script/?param=foo'
>>> get_current_url(env, root_only=True)
'http://localhost/script/'
>>> get_current_url(env, host_only=True)
'http://localhost/'
>>> get_current_url(env, strip_querystring=True)
'http://localhost/script/'
Parameters: |
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Marks a function as responder. Decorate a function with it and it will automatically call the return value as WSGI application.
Example:
@responder
def application(environ, start_response):
return Response('Hello World!')
Create a new WSGI environ dict based on the values passed. The first parameter should be the path of the request which defaults to ‘/’. The second one can either be a absolute path (in that case the host is localhost:80) or a full path to the request with scheme, netloc port and the path to the script.
If the path contains a query string it will be used, even if the query_string parameter was given. If it does not contain one the query_string parameter is used as querystring. In that case it can either be a dict, MultiDict or string.
The following options exist:
Parameters: |
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Return a tuple in the form (app_iter, status, headers) of the application output. This works best if you pass it an application that returns a iterator all the time.
Sometimes applications may use the write() callable returned by the start_response function. This tries to resolve such edge cases automatically. But if you don’t get the expected output you should set buffered to True which enforces buffering.
If passed an invalid WSGI application the behavior of this function is undefined. Never pass non-conforming WSGI applications to this function.
Parameters: |
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Returns: |
Wraps a file. This uses the WSGI server’s file wrapper if available or otherwise the generic FileWrapper.
New in version 0.5.
If the file wrapper from the WSGI server is used it’s important to not iterate over it from inside the application but to pass it through unchanged. If you want to pass out a file wrapper inside a response object you have to set direct_passthrough to True.
More information about file wrappers are available in PEP 333.
Parameters: |
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Removes and returns the next segment of PATH_INFO, pushing it onto SCRIPT_NAME. Returns None if there is nothing left on PATH_INFO.
If there are empty segments ('/foo//bar) these are ignored but properly pushed to the SCRIPT_NAME:
>>> env = {'SCRIPT_NAME': '/foo', 'PATH_INFO': '/a/b'}
>>> pop_path_info(env)
'a'
>>> env['SCRIPT_NAME']
'/foo/a'
>>> pop_path_info(env)
'b'
>>> env['SCRIPT_NAME']
'/foo/a/b'
New in version 0.5.
Parameter: | environ – the WSGI environment that is modified. |
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Returns the next segment on the PATH_INFO or None if there is none. Works like pop_path_info() without modifying the environment:
>>> env = {'SCRIPT_NAME': '/foo', 'PATH_INFO': '/a/b'}
>>> peek_path_info(env)
'a'
>>> peek_path_info(env)
'a'
New in version 0.5.
Parameter: | environ – the WSGI environment that is checked. |
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Implements a callable that constructs URLs with the given base. The function can be called with any number of positional and keyword arguments which than are used to assemble the URL. Works with URLs and posix paths.
Positional arguments are appended as individual segments to the path of the URL:
>>> href = Href('/foo')
>>> href('bar', 23)
'/foo/bar/23'
>>> href('foo', bar=23)
'/foo/foo?bar=23'
If any of the arguments (positional or keyword) evaluates to None it will be skipped. If no keyword arguments are given the last argument can be a dict or MultiDict (or any other dict subclass), otherwise the keyword arguments are used for the query parameters, cutting off the first trailing underscore of the parameter name:
>>> href(is_=42)
'/foo?is=42'
>>> href({'foo': 'bar'})
'/foo?foo=bar'
Combining of both methods is not allowed:
>>> href({'foo': 'bar'}, bar=42)
Traceback (most recent call last):
...
TypeError: keyword arguments and query-dicts can't be combined
Accessing attributes on the href object creates a new href object with the attribute name as prefix:
>>> bar_href = href.bar
>>> bar_href("blub")
'/foo/bar/blub'
If sort is set to True the items are sorted by key or the default sorting algorithm:
>>> href = Href("/", sort=True)
>>> href(a=1, b=2, c=3)
'/?a=1&b=2&c=3'
New in version 0.5: sort and key were added.
Parse a querystring and return it as MultiDict. Per default only values are decoded into unicode strings. If decode_keys is set to True the same will happen for keys.
Per default a missing value for a key will default to an empty key. If you don’t want that behavior you can set include_empty to False.
Per default encoding errors are ignore. If you want a different behavior you can set errors to 'replace' or 'strict'. In strict mode a HTTPUnicodeError is raised.
Changed in version 0.5: In previous versions “;” and “&” could be used for url decoding. This changed in 0.5 where only “&” is supported. If you want to use “;” instead a different separator can be provided.
Parameters: |
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URL encode a dict/MultiDict. If a value is None it will not appear in the result string. Per default only values are encoded into the target charset strings. If encode_keys is set to True unicode keys are supported too.
If sort is set to True the items are sorted by key or the default sorting algorithm.
New in version 0.5: sort, key, and separator were added.
Parameters: |
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URL encode a single string with a given encoding.
Parameters: |
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URL encode a single string with the given encoding and convert whitespace to “+”.
Parameters: |
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URL decode a single string with a given decoding.
Per default encoding errors are ignore. If you want a different behavior you can set errors to 'replace' or 'strict'. In strict mode a HTTPUnicodeError is raised.
Parameters: |
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URL decode a single string with the given decoding and decode a “+” to whitespace.
Per default encoding errors are ignore. If you want a different behavior you can set errors to 'replace' or 'strict'. In strict mode a HTTPUnicodeError is raised.
Parameters: |
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Sometimes you get an URL by a user that just isn’t a real URL because it contains unsafe characters like ‘ ‘ and so on. This function can fix some of the problems in a similar way browsers handle data entered by the user:
>>> url_fix(u'http://de.wikipedia.org/wiki/Elf (Begriffskl\xe4rung)')
'http://de.wikipedia.org/wiki/Elf%20%28Begriffskl%C3%A4rung%29'
Parameters: |
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Helper object for HTML generation.
Per default there are two instances of that class. The html one, and the xhtml one for those two dialects. The class uses keyword parameters and positional parameters to generate small snippets of HTML.
Keyword parameters are converted to XML/SGML attributes, positional arguments are used as children. Because Python accepts positional arguments before keyword arguments it’s a good idea to use a list with the star-syntax for some children:
>>> html.p(class_='foo', *[html.a('foo', href='foo.html'), ' ',
... html.a('bar', href='bar.html')])
u'<p class="foo"><a href="foo.html">foo</a> <a href="bar.html">bar</a></p>'
This class works around some browser limitations and can not be used for arbitrary SGML/XML generation. For that purpose lxml and similar libraries exist.
Calling the builder escapes the string passed:
>>> html.p(html("<foo>"))
u'<p><foo></p>'
Replace special characters “&”, “<” and “>” to HTML-safe sequences. If the optional flag quote is True, the quotation mark character (“) is also translated.
There is a special handling for None which escapes to an empty string.
Parameters: |
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The reverse function of escape. This unescapes all the HTML entities, not only the XML entities inserted by escape.
Parameter: | s – the string to unescape. |
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Dump an HTTP header again. This is the reversal of parse_list_header(), parse_set_header() and parse_dict_header(). This also quotes strings that include an equals sign unless you pass it as dict of key, value pairs.
Parameters: |
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Formats the time to ensure compatibility with Netscape’s cookie standard.
Accepts a floating point number expressed in seconds since the epoc in, a datetime object or a timetuple. All times in UTC. The parse_date() function can be used to parse such a date.
Outputs a string in the format Wdy, DD-Mon-YYYY HH:MM:SS GMT.
Parameter: | expires – If provided that date is used, otherwise the current. |
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Formats the time to match the RFC1123 date format.
Accepts a floating point number expressed in seconds since the epoc in, a datetime object or a timetuple. All times in UTC. The parse_date() function can be used to parse such a date.
Outputs a string in the format Wdy, DD Mon YYYY HH:MM:SS GMT.
Parameter: | timestamp – If provided that date is used, otherwise the current. |
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Parse the form data in the environ and return it as tuple in the form (stream, form, files). You should only call this method if the transport method is POST or PUT.
If the mimetype of the data transmitted is multipart/form-data the files multidict will be filled with FileStorage objects. If the mimetype is unknow the input stream is wrapped and returned as first argument, else the stream is empty.
This function does not raise exception, even if the input data is malformed.
Parameters: |
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Returns: | A tuple in the form (stream, form, files). |
Parse an etag header.
Parameter: | value – the tag header to parse |
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Returns: | an ETags object. |
Quote an etag.
Parameters: |
|
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Unquote a single etag:
>>> unquote_etag('w/"bar"')
('bar', True)
>>> unquote_etag('"bar"')
('bar', False)
Parameter: | etag – the etag identifier to unquote. |
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Returns: | a (etag, weak) tuple. |
Convenience method for conditional requests.
Parameters: |
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Returns: | True if the resource was modified, otherwise False. |
Parse a Content-Type like header into a tuple with the content type and the options:
>>> parse_options_header('Content-Type: text/html; mimetype=text/html')
('Content-Type: text/html', {'mimetype': 'text/html'})
This should not be used to parse Cache-Control like headers that use a slightly different format. For these headers use the parse_dict_header() function.
New in version 0.5.
Parameter: | value – the header to parse. |
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Returns: | (str, options) |
Parse a set like header and return a HeaderSet object. The return value is an object that treats the items case insensitive and keeps the order of the items.
Parameters: |
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Returns: |
Parse lists as described by RFC 2068 Section 2.
In particular, parse comma-separated lists where the elements of the list may include quoted-strings. A quoted-string could contain a comma. A non-quoted string could have quotes in the middle. Quotes are removed automatically after parsing.
Parameter: | value – a string with a list header. |
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Returns: | list |
Parse lists of key, value paits as described by RFC 2068 Section 2 and convert them into a python dict. If there is no value for a key it will be None.
Parameter: | value – a string with a dict header. |
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Returns: | dict |
Parses an HTTP Accept-* header. This does not implement a complete valid algorithm but one that supports at least value and quality extraction.
Returns a new Accept object (basicly a list of (value, quality) tuples sorted by the quality with some additional accessor methods).
The second parameter can be a subclass of Accept that is created with the parsed values and returned.
Parameters: |
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Returns: | an instance of cls. |
Parse a cache control header. The RFC differs between response and request cache control, this method does not. It’s your responsibility to not use the wrong control statements.
Parameters: |
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Returns: | a CacheControl object. |
Parse one of the following date formats into a datetime object:
Sun, 06 Nov 1994 08:49:37 GMT ; RFC 822, updated by RFC 1123
Sunday, 06-Nov-94 08:49:37 GMT ; RFC 850, obsoleted by RFC 1036
Sun Nov 6 08:49:37 1994 ; ANSI C's asctime() format
If parsing fails the return value is None.
Parameter: | value – a string with a supported date format. |
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Returns: | a datetime.datetime object. |
Parse an HTTP basic/digest authorization header transmitted by the web browser. The return value is either None if the header was invalid or not given, otherwise an Authorization object.
Parameter: | value – the authorization header to parse. |
---|---|
Returns: | a Authorization object or None. |
Parse an HTTP WWW-Authenticate header into a WWWAuthenticate object.
Parameters: |
|
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Returns: | a WWWAuthenticate object. |
Remove all entity headers from a list or Headers object. This operation works in-place.
Parameter: | headers – a list or Headers object. |
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Remove all HTTP/1.1 “Hop-by-Hop” headers from a list or Headers object. This operation works in-place.
New in version 0.5.
Parameter: | headers – a list or Headers object. |
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Check if a header is an entity header.
New in version 0.5.
Parameter: | header – the header to test. |
---|---|
Returns: | True if it’s an entity header, False otherwise. |
Check if a header is an HTTP/1.1 “Hop-by-Hop” header.
New in version 0.5.
Parameter: | header – the header to test. |
---|---|
Returns: | True if it’s an entity header, False otherwise. |
Quote a header value if necessary.
New in version 0.5.
Parameters: |
|
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Unquotes a header value. (Reversal of quote_header_value()). This does not use the real unquoting but what browsers are actually using for quoting.
New in version 0.5.
Parameter: | value – the header value to unquote. |
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A decorator that converts a function into a lazy property. The function wrapped is called the first time to retrieve the result and than that calculated result is used the next time you access the value:
class Foo(object):
@cached_property
def foo(self):
# calculate something important here
return 42
Changed in version 0.5: cached properties are now optionally writeable.
Helper function that invalidates the property cache. This can be useful if you have a function that changes a value that the cached one depends on:
@cached_property
def foo(self):
return '%s/foo' % self.bar
def change_bar(self):
self.bar += 1
cached_property.refresh(self, ['foo'])
New in version 0.5.
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Maps request attributes to environment variables. This works not only for the Werzeug request object, but also any other class with an environ attribute:
>>> class Test(object):
... environ = {'key': 'value'}
... test = environ_property('key')
>>> var = Test()
>>> var.test
'value'
If you pass it a second value it’s used as default if the key does not exist, the third one can be a converter that takes a value and converts it. If it raises ValueError or TypeError the default value is used. If no default value is provided None is used.
Per default the property is read only. You have to explicitly enable it by passing read_only=False to the constructor.
Parse a cookie. Either from a string or WSGI environ.
Per default encoding errors are ignore. If you want a different behavior you can set errors to 'replace' or 'strict'. In strict mode a HTTPUnicodeError is raised.
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Creates a new Set-Cookie header without the Set-Cookie prefix The parameters are the same as in the cookie Morsel object in the Python standard library but it accepts unicode data too.
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Return a response object (a WSGI application) that, if called, redirects the client to the target location. Supported codes are 301, 302, 303, 305, and 307. 300 is not supported because it’s not a real redirect and 304 because it’s the answer for a request with a request with defined If-Modified-Since headers.
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Redirect to the same URL but with a slash appended. The behavior of this function is undefined if the path ends with a slash already.
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Imports an object based on a string. This use useful if you want to use import paths as endpoints or something similar. An import path can be specified either in dotted notation (xml.sax.saxutils.escape) or with a colon as object delimiter (xml.sax.saxutils:escape).
If the silent is True the return value will be None if the import fails.
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Returns: | imported object |
Find all the modules below a package. This can be useful to automatically import all views / controllers so that their metaclasses / function decorators have a chance to register themselves on the application.
Packages are not returned unless include_packages is True. This can also recursively list modules but in that case it will import all the packages to get the correct load path of that module.
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Returns: | generator |
Check if the function accepts the arguments and keyword arguments. Returns a new (args, kwargs) tuple that can savely be passed to the function without causing a TypeError because the function signature is incompatible. If drop_extra is set to True (which is the default) any extra positional or keyword arguments are dropped automatically.
The exception raised provides three attributes:
This can be useful for decorators that forward user submitted data to a view function:
from werkzeug import ArgumentValidationError, validate_arguments
def sanitize(f):
def proxy(request):
data = request.values.to_dict()
try:
args, kwargs = validate_arguments(f, (request,), data)
except ArgumentValidationError:
raise BadRequest('The browser failed to transmit all '
'the data expected.')
return f(*args, **kwargs)
return proxy
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Returns: | tuple in the form (args, kwargs). |
Bind the arguments provided into a dict. When passed a function, a tuple of arguments and a dict of keyword arguments bind_arguments returns a dict of names as the function would see it. This can be useful to implement a cache decorator that uses the function arguments to build the cache key based on the values of the arguments.
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Returns: | a dict of bound keyword arguments. |