JSONRPClib (patched for Pelix and Python 3)

This library is an implementation of the JSON-RPC specification.
It supports both the original 1.0 specification, as well as the new
(proposed) 2.0 specification, which includes batch submission, keyword
arguments, etc.
This library is licensed under the terms of the
Apache Software License 2.0.
About this version
This is a patched version of the original jsonrpclib
project by Josh Marshall,
available at
joshmarshall/jsonrpclib.
The suffix -pelix only indicates that this version works with Pelix
Remote Services, but it is not a Pelix specific implementation.
- This version adds support for Python 3, staying compatible with Python 2.7.
The support for Python 2.6 has been dropped, as it was becoming to hard to
maintain.
- It is now possible to use the
dispatch_method
argument while extending the
SimpleJSONRPCDispatcher
, to use a custom dispatcher.
This allows to use this package by Pelix Remote Services. - It can use thread pools to control the number of threads spawned to handle
notification requests and clients connections.
- The modifications added in other forks of this project have been added:
- From drdaeman/jsonrpclib:
- Improved JSON-RPC 1.0 support
- Less strict error response handling
- From tuomassalo/jsonrpclib:
- In case of a non-predefined error, raise an AppError and give access
to error.data
- From dejw/jsonrpclib:
- Custom headers can be sent with request and associated tests
- Since version 0.4, this package added back the support of Unix sockets.
- This package cannot be installed with the original
jsonrpclib
, as it uses
the same name.
Summary
This library implements the JSON-RPC 2.0 proposed specification in pure Python.
It is designed to be as compatible with the syntax of xmlrpclib
as possible
(it extends where possible), so that projects using xmlrpclib
could easily be
modified to use JSON and experiment with the differences.
It is backwards-compatible with the 1.0 specification, and supports all of the
new proposed features of 2.0, including:
- Batch submission (via the
MultiCall
class) - Keyword arguments
- Notifications (both in a batch and 'normal')
- Class translation using the
__jsonclass__
key.
A SimpleJSONRPCServer
class has been added. It is intended to emulate the
SimpleXMLRPCServer
from the default Python distribution.
Requirements
This library supports orjson
, ujson
, cjson
and simplejson
, and looks
for the parsers in that order (searching first for orjson
, ujson
, cjson
,
simplejson
and finally for the built-in json
).
One of these must be installed to use this library, although if you have a
standard distribution of 2.7+, you should already have one.
Keep in mind that orjson
is supposed to be the quickest, I believe, so if you
are going for full-on optimization you may want to pick it up.
Installation
You can install this from PyPI with one of the following commands (sudo
might be required):
# Global installation
pip install jsonrpclib-pelix
# Local installation
pip install --user jsonrpclib-pelix
Alternatively, you can download the source from the GitHub repository at
tcalmant/jsonrpclib and manually
install it with the following commands:
git clone git://github.com/tcalmant/jsonrpclib.git
cd jsonrpclib
python setup.py install
A note on logging
jsonrpclib-pelix
uses the logging
module from the standard Python
library to trace warnings and errors, but doesn't set it up.
As a result, you have to configure the Python logging to print out traces.
The easiest way to do it is to add those lines at the beginning of your code:
import logging
logging.basiConfig()
More information can be found in the
logging
documentation page.
SimpleJSONRPCServer
This is identical in usage (or should be) to the SimpleXMLRPCServer
in the
Python standard library.
Some of the differences in features are that it obviously supports notification,
batch calls, class translation (if left on), etc.
Note: The import line is slightly different from the regular
SimpleXMLRPCServer
, since the SimpleJSONRPCServer
is provided by th
jsonrpclib
library.
from jsonrpclib.SimpleJSONRPCServer import SimpleJSONRPCServer
server = SimpleJSONRPCServer(('localhost', 8080))
server.register_function(pow)
server.register_function(lambda x,y: x+y, 'add')
server.register_function(lambda x: x, 'ping')
server.serve_forever()
To start protect the server with SSL, use the following snippet:
from jsonrpclib.SimpleJSONRPCServer import SimpleJSONRPCServer
import ssl
server = SimpleJSONRPCServer(('localhost', 8080), bind_and_activate=False)
server.socket = ssl.wrap_socket(server.socket, certfile='server.pem',
server_side=True)
server.server_bind()
server.server_activate()
server.serve_forever()
Notification Thread Pool
By default, notification calls are handled in the request handling thread.
It is possible to use a thread pool to handle them, by giving it to the server
using the set_notification_pool()
method:
from jsonrpclib.SimpleJSONRPCServer import SimpleJSONRPCServer
from jsonrpclib.threadpool import ThreadPool
pool = ThreadPool(max_threads=10, min_threads=0)
pool.start()
server = SimpleJSONRPCServer(('localhost', 8080))
server.set_notification_pool(pool)
server.register_function(pow)
server.register_function(lambda x,y: x+y, 'add')
server.register_function(lambda x: x, 'ping')
try:
server.serve_forever()
finally:
pool.stop()
server.set_notification_pool(None)
Threaded server
It is also possible to use a thread pool to handle clients requests, using the
PooledJSONRPCServer
class.
By default, this class uses pool of 0 to 30 threads.
A custom pool can be given with the thread_pool
parameter of the class
constructor.
The notification pool and the request pool are different: by default, a server
with a request pool doesn't have a notification pool.
from jsonrpclib.SimpleJSONRPCServer import PooledJSONRPCServer
from jsonrpclib.threadpool import ThreadPool
nofif_pool = ThreadPool(max_threads=10, min_threads=0)
request_pool = ThreadPool(max_threads=50, min_threads=10)
nofif_pool.start()
request_pool.start()
server = PooledJSONRPCServer(('localhost', 8080), thread_pool=request_pool)
server.set_notification_pool(nofif_pool)
server.register_function(pow)
server.register_function(lambda x,y: x+y, 'add')
server.register_function(lambda x: x, 'ping')
try:
server.serve_forever()
finally:
request_pool.stop()
nofif_pool.stop()
server.set_notification_pool(None)
Unix socket
To start a server listening on a Unix socket, you will have to use the
following snippet:
from jsonrpclib.SimpleJSONRPCServer import SimpleJSONRPCServer
import os
import socket
socket_name = "/tmp/my_socket.socket"
if os.path.exists(socket_name):
os.remove(socket_name)
try:
srv = SimpleJSONRPCServer(socket_name, address_family=socket.AF_UNIX)
srv.serve_forever()
except KeyboardInterrupt:
srv.shutdown()
srv.server_close()
finally:
os.remove(socket_name)
This feature is tested on Linux during Travis-CI builds. It also has
been tested on Windows Subsystem for Linux (WSL) on Windows 10 1809.
This feature is not available on "pure" Windows, as it doesn't provide
the AF_UNIX
address family.
Client Usage
This is (obviously) taken from a console session.
>>> import jsonrpclib
>>> server = jsonrpclib.ServerProxy('http://localhost:8080')
>>> server.add(5,6)
11
>>> server.add(x=5, y=10)
15
>>> server._notify.add(5,6)
>>> batch = jsonrpclib.MultiCall(server)
>>> batch.add(5, 6)
>>> batch.ping({'key':'value'})
>>> batch._notify.add(4, 30)
>>> results = batch()
>>> for result in results:
>>> ... print(result)
11
{'key': 'value'}
>>> server('close')()
>>> history = jsonrpclib.history.History()
>>> server = jsonrpclib.ServerProxy('http://localhost:8080', history=history)
>>> server.add(5,6)
11
>>> print(history.request)
{"id": "f682b956-c8e1-4506-9db4-29fe8bc9fcaa", "jsonrpc": "2.0",
"method": "add", "params": [5, 6]}
>>> print(history.response)
{"id": "f682b956-c8e1-4506-9db4-29fe8bc9fcaa", "jsonrpc": "2.0",
"result": 11}
>>> server('close')()
If you need 1.0 functionality, there are a bunch of places you can pass
that in, although the best is just to give a specific configuration to
jsonrpclib.ServerProxy
:
>>> import jsonrpclib
>>> jsonrpclib.config.DEFAULT.version
2.0
>>> config = jsonrpclib.config.Config(version=1.0)
>>> history = jsonrpclib.history.History()
>>> server = jsonrpclib.ServerProxy('http://localhost:8080', config=config,
history=history)
>>> server.add(7, 10)
17
>>> print(history.request)
{"id": "827b2923-5b37-49a5-8b36-e73920a16d32",
"method": "add", "params": [7, 10]}
>>> print(history.response)
{"id": "827b2923-5b37-49a5-8b36-e73920a16d32", "error": null, "result": 17}
>>> server('close')()
The equivalent loads
and dumps
functions also exist, although with
minor modifications.
The dumps
arguments are almost identical, but it adds three arguments:
rpcid
for the id
key, version
to specify the JSON-RPC compatibility,
and notify
if it's a request that you want to be a notification.
Additionally, the loads
method does not return the params and method like
xmlrpclib
, but instead
a.) parses for errors, raising ProtocolErrors, and
b.) returns the entire structure of the request / response for manual parsing.
Unix sockets
To connect a JSON-RPC server over a Unix socket, you have to use a specific
protocol: unix+http
.
When connecting to a Unix socket in the current working directory, you can use
the following syntax: unix+http://my.socket
When you need to give an absolute path you must use the path part of the URL,
the host part will be ignored. For example, you can use this URL to indicate a
Unix socket in /var/lib/daemon.socket
: unix+http://./var/lib/daemon.socket
Note: Currently, only HTTP is supported over a Unix socket.
If you want HTTPS support to be implemented, please create an
issue on GitHub
If your remote service requires custom headers in request, you can pass them
using the headers
keyword argument, when creating the ServerProxy
:
>>> import jsonrpclib
>>> server = jsonrpclib.ServerProxy("http://localhost:8080",
headers={'X-Test' : 'Test'})
You can also put additional request headers only for certain method
invocation:
>>> import jsonrpclib
>>> server = jsonrpclib.Server("http://localhost:8080")
>>> with server._additional_headers({'X-Test' : 'Test'}) as test_server:
... test_server.ping(42)
...
>>>
Of course _additional_headers
contexts can be nested as well.
Class Translation
The library supports an "automatic" class translation process, although it
is turned off by default.
This can be devastatingly slow if improperly used, so the following is just a
short list of things to keep in mind when using it.
- Keep It (the object) Simple Stupid. (for exceptions, keep reading)
- Do not require init params (for exceptions, keep reading)
- Getter properties without setters could be dangerous (read: not tested)
If any of the above are issues, use the _serialize
method (see usage below).
The server and client must BOTH have the use_jsonclass
configuration
item on and they must both have access to the same libraries used by the
objects for this to work.
If you have excessively nested arguments, it would be better to turn off the
translation and manually invoke it on specific objects using
jsonrpclib.jsonclass.dump
/ jsonrpclib.jsonclass.load
(since the
default behavior recursively goes through attributes and lists/dicts/tuples).
class TestObj(object):
foo = 'bar'
class TestSerial(object):
foo = 'bar'
def __init__(self, *args):
self.args = args
def _serialize(self):
return (self.args, {'foo':self.foo,})
>>> import jsonrpclib
>>> import test_obj
>>> history = jsonrpclib.history.History()
>>> testobj1 = test_obj.TestObj()
>>> testobj2 = test_obj.TestSerial()
>>> server = jsonrpclib.Server('http://localhost:8080', history=history)
>>> ping1 = server.ping(testobj1)
>>> ping2 = server.ping(testobj2)
>>> print(history.request)
{"id": "7805f1f9-9abd-49c6-81dc-dbd47229fe13", "jsonrpc": "2.0",
"method": "ping", "params": [{"__jsonclass__":
["test_obj.TestSerial", []], "foo": "bar"}
]}
>>> print(history.response)
{"id": "7805f1f9-9abd-49c6-81dc-dbd47229fe13", "jsonrpc": "2.0",
"result": {"__jsonclass__": ["test_obj.TestSerial", []], "foo": "bar"}}
This behavior is turned on by default.
To deactivate it, just set the use_jsonclass
member of a server Config
to
False
.
If you want to use a per-class serialization method, set its name in the
serialize_method
member of a server Config
.
Finally, if you are using classes that you have defined in the implementation
(as in, not a separate library), you'll need to add those
(on BOTH the server and the client) using the config.classes.add()
method.
Feedback on this "feature" is very, VERY much appreciated.
Tests
Tests are an almost-verbatim drop from the JSON-RPC specification 2.0
page. They can be run using unittest or nosetest:
python -m unittest discover tests
python3 -m unittest discover tests
nosetests tests
Why JSON-RPC?
In my opinion, there are several reasons to choose JSON over XML for RPC:
- Much simpler to read (I suppose this is opinion, but I know I'm right. :)
- Size / Bandwidth - Main reason, a JSON object representation is just much
smaller.
- Parsing - JSON should be much quicker to parse than XML.
- Easy class passing with
jsonclass
(when enabled)
In the interest of being fair, there are also a few reasons to choose XML over
JSON:
- Your server doesn't do JSON (rather obvious)
- Wider XML-RPC support across APIs (can we change this? :))
- Libraries are more established, i.e. more stable (Let's change this too)