This is a collection of code snippets and examples for common use cases.
There is no built-in support for sessions because there is no right way to do it (in a micro framework). Depending on requirements and environment you could use beaker middleware with a fitting backend or implement it yourself. Here is an example for beaker sessions with a file-based backend:
import bottle
from beaker.middleware import SessionMiddleware
session_opts = {
'session.type': 'file',
'session.cookie_expires': 300,
'session.data_dir': './data',
'session.auto': True
}
app = SessionMiddleware(bottle.app(), session_opts)
@bottle.route('/test')
def test():
s = bottle.request.environ.get('beaker.session')
s['test'] = s.get('test',0) + 1
s.save()
return 'Test counter: %d' % s['test']
bottle.run(app=app)
Bottle catches all Exceptions raised in your app code to prevent your WSGI server from crashing. If the built-in debug()
mode is not enough and you need exceptions to propagate to a debugging middleware, you can turn off this behaviour:
import bottle
app = bottle.app()
app.catchall = False #Now most exceptions are re-raised within bottle.
myapp = DebuggingMiddleware(app) #Replace this with a middleware of your choice (see below)
bottle.run(app=myapp)
Now, bottle only catches its own exceptions (HTTPError
, HTTPResponse
and BottleException
) and your middleware can handle the rest.
The werkzeug and paste libraries both ship with very powerfull debugging WSGI middleware. Look at werkzeug.debug.DebuggedApplication
for werkzeug and paste.evalexception.middleware.EvalException
for paste. They both allow you do inspect the stack and even execute python code within the stack context, so do not use them in production.
This is not the recommend way (you should use a middleware in front of bottle to do this) but you can call other WSGI applications from within your bottle app and let bottle act as a pseudo-middleware. Here is an example:
from bottle import request, response, route
subproject = SomeWSGIApplication()
@route('/subproject/:subpath#.*#', method='ALL')
def call_wsgi(subpath):
new_environ = request.environ.copy()
new_environ['SCRIPT_NAME'] = new_environ.get('SCRIPT_NAME','') + '/subproject'
new_environ['PATH_INFO'] = '/' + subpath
def start_response(status, headerlist):
response.status = int(status.split()[0])
for key, value in headerlist:
response.add_header(key, value)
return app(new_environ, start_response)
Again, this is not the recommend way to implement subprojects. It is only here because many people asked for this and to show how bottle maps to WSGI.
For Bottle, /example
and /example/
are two different routes [1]. To treat both URLs the same you can add two @route
decorators:
@route('/test')
@route('/test/')
def test(): return 'Slash? no?'
or add a WSGI middleware that strips trailing slashes from all URLs:
class StripPathMiddleware(object):
def __init__(self, app):
self.app = app
def __call__(self, e, h):
e['PATH_INFO'] = e['PATH_INFO'].rstrip('/')
return self.app(e,h)
app = bottle.app()
myapp = StripPathMiddleware(app)
bottle.run(app=appmy)
Footnotes
Note
For a more detailed explanation, see Primer to Asynchronous Applications.
Several “push” mechanisms like XHR multipart need the ability to write response data without closing the connection in conjunction with the response header “Connection: keep-alive”. WSGI does not easily lend itself to this behavior, but it is still possible to do so in Bottle by using the gevent async framework. Here is a sample that works with either the gevent HTTP server or the paste HTTP server (it may work with others, but I have not tried). Just change server='gevent'
to server='paste'
to use the paste server:
from gevent import monkey; monkey.patch_all()
import time
from bottle import route, run
@route('/stream')
def stream():
yield 'START'
time.sleep(3)
yield 'MIDDLE'
time.sleep(5)
yield 'END'
run(host='0.0.0.0', port=8080, server='gevent')
If you browse to http://localhost:8080/stream
, you should see ‘START’, ‘MIDDLE’, and ‘END’ show up one at a time (rather than waiting 8 seconds to see them all at once).
Note
For a detailed discussion, see compression
A common feature request is for Bottle to support Gzip compression, which speeds up sites by compressing static resources (like CSS and JS files) during a request.
Supporting Gzip compression is not a straightforward proposition, due to a number of corner cases that crop up frequently. A proper Gzip implementation must:
Compress on the fly and be fast doing so.
Do not compress for browsers that don’t support it.
Do not compress files that are compressed already (images, videos).
Do not compress dynamic files.
Support two differed compression algorithms (gzip and deflate).
Cache compressed files that don’t change often.
De-validate the cache if one of the files changed anyway.
Make sure the cache does not get to big.
Do not cache small files because a disk seek would take longer than on-the-fly compression.
Because of these requirements, it is the reccomendation of the Bottle project that Gzip compression is best handled by the WSGI server Bottle runs on top of. WSGI servers such as cherrypy provide a GzipFilter middleware that can be used to accomplish this.