Dealing with Request Data
The most important rule about web development is “Do not trust the user”. This is especially true for incoming request data on the input stream. With WSGI this is actually a bit harder than you would expect. Because of that Werkzeug wraps the request stream for you to save you from the most prominent problems with it.
Missing EOF Marker on Input Stream
The input stream has no end-of-file marker. If you would call the read()
method on the wsgi.input
stream you would cause your application to hang on conforming servers. This is actually intentional however painful. Werkzeug solves that problem by wrapping the input stream in a special LimitedStream
. The input stream is exposed on the request objects as stream
. This one is either an empty stream (if the form data was parsed) or a limited stream with the contents of the input stream.
When does Werkzeug Parse?
Werkzeug parses the incoming data under the following situations:
- you access either
form
,files
, orstream
and the request method wasPOST
orPUT
. - if you call
parse_form_data()
.
These calls are not interchangeable. If you invoke parse_form_data()
you must not use the request object or at least not the attributes that trigger the parsing process.
This is also true if you read from the wsgi.input
stream before the parsing.
General rule: Leave the WSGI input stream alone. Especially in WSGI middlewares. Use either the parsing functions or the request object. Do not mix multiple WSGI utility libraries for form data parsing or anything else that works on the input stream.
How does it Parse?
The standard Werkzeug parsing behavior handles three cases:
- input content type was
multipart/form-data
. In this situation thestream
will be empty andform
will contain the regularPOST
/PUT
data,files
will contain the uploaded files asFileStorage
objects. - input content type was
application/x-www-form-urlencoded
. Then thestream
will be empty andform
will contain the regularPOST
/PUT
data andfiles
will be empty. - the input content type was neither of them,
stream
points to aLimitedStream
with the input data for further processing.
Special note on the get_data
method: Calling this loads the full request data into memory. This is only safe to do if the max_content_length
is set. Also you can either read the stream or call get_data()
.
Limiting Request Data
To avoid being the victim of a DDOS attack you can set the maximum accepted content length and request field sizes. The BaseRequest
class has two attributes for that: max_content_length
and max_form_memory_size
.
The first one can be used to limit the total content length. For example by setting it to 1024 * 1024 * 16
the request won’t accept more than 16MB of transmitted data.
Because certain data can’t be moved to the hard disk (regular post data) whereas temporary files can, there is a second limit you can set. The max_form_memory_size
limits the size of POST
transmitted form data. By setting it to 1024 * 1024 * 2
you can make sure that all in memory-stored fields are not more than 2MB in size.
This however does not affect in-memory stored files if the stream_factory
used returns a in-memory file.
How to extend Parsing?
Modern web applications transmit a lot more than multipart form data or url encoded data. To extend the capabilities, subclass BaseRequest
or Request
and add or extend methods.
There is already a mixin that provides JSON parsing:
from werkzeug.wrappers import Request from werkzeug.wrappers.json import JSONMixin class JSONRequest(JSONMixin, Request): pass
The basic implementation of that looks like:
from werkzeug.utils import cached_property from werkzeug.wrappers import Request import simplejson as json class JSONRequest(Request): @cached_property def json(self): if self.mimetype == "application/json": return json.loads(self.data)
© 2007–2020 Pallets
Licensed under the BSD 3-clause License.
https://werkzeug.palletsprojects.com/en/1.0.x/request_data/