init commit 2 (no token)
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__init__.py
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8
__init__.py
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from .matrix import *
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import .listeners
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real_listeners=dict(filter(lambda x:isinstance(x,Listener),listeners.__dict__.items()))
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class MatrixClient(MatrixClient):
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def __init__(self,*args,**kwargs):
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super().__init__(*args,**kwargs)
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self.listeners=real_listeners
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22
listeners.py
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listeners.py
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from .utils import Listener as _l, Event as _e, get_or_create as goc
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import .models
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# Default handlers will be given two parts each:
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# 1) Mould the raw event into a parsed event (update internal state)
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# 2) Identify event chains and dump them into the queue.
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# I really don't recommend removing them. (But I won't stop you.)
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def sync_f(client,event):
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blob=event.raw_data
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# This event never really gets any processed data in it.
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rooms=blob['rooms']['join']
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for rid,room in rooms.items():
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client.event_queue.add(_e('m.room',{'id':rid},room))
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sync=_l('sync','m.sync',sync_f)
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def room_f(client,event):
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blob=event.raw_data
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rid=event.data['id']
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room=goc(lambda x:x.id==rid,client.account.rooms,models.Room(rid))
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event.data=room
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room=_l('room','m.room',room_f)
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10
matrix.design
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matrix.design
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Bot core receives stream of events; steps through them in turn
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Bot has lots of model objects, each one registers itself with a type identifier (eg. m.room.message), corresponding to event types.
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Bot core simply palms the event to all handlers of the relevant kind. They can then return a "processed event". Bot core will add that to the event queue.
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Separate loop of the bot will pull events out of the queue and fire them. By default they'll do nothing, the outer layer can register handlers (and request a list of handlers, to make it easier to manage removing).
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Can also add filters/splitters, a special kind of handler that will return new events to be fired; can be used for making up internal event types, eg. a splitter that looks at the first word in the message and fires an event of that type, to make a command handler.
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The whole bot will be synchronous. However, all network/disk/DB/etc., basically all external, will just create a task and push it into a separate work queue which will fire off at maximum possible rate. Try to avoid making get calls.
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Raw events will not be exposed, only processed events. This is not a "you have full control" framework. This is a clean, unified, easy-to-use framework.
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https://spec.matrix.org
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https://www.matrix.org/docs/develop/
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54
matrix.py
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54
matrix.py
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import aiohttp as ah
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import time
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import asyncio
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import datetime
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import traceback
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from .utils import Event,Listener
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tracing=False
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def trace(*msg):
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if tracing: print(datetime.datetime.now(),*msg)
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class MatrixClient():
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def __init__(self,homeserver,token):
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self.event_queue=asyncio.Queue() #Contains Events. Everything in here must be an Event.
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self.homeserver=homeserver
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self.token=token # Deal with login stuff later
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self.baseurl=f'https://{self.homeserver}/_matrix/client'
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self.session=ah.ClientSession()
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self.since=None
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self.listeners=[]
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def __del__(self):
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asyncio.get_event_loop().create_task(self.session.close()) # lol
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while not self.session.closed: time.sleep(0.01)
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async def request(self,endpoint='sync',method='GET', ver=0,params={} *args,**kwargs):
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async with self.session.request(method, f'{self.baseurl}/r{ver}/{endpoint}', params=params|{'access_token':self.token}|({'since':self.since} if self.since else {}), *args,**kwargs) as fetched:
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if fetched.status_code!=200: raise Exception('fix ur shit')
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try: return await fetched.json()
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except JSONDecodeError: pass # TODO: Figure out what this is called
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# This function just dumps /sync blobs in the event queue as a raw event.
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# ALL handling is deferred to handlers.
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# ... Except updating the since token. That's important to do here to guarantee that it never calls with the same token twice.
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async def sync(self):
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blob=await self.request(params={'timeout':30000})
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self.since=blob['next_batch']
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self.event_queue.put(Event('m.sync',None,blob))
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def addlistener(self,name=None,match=None):
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func=type(lambda:1) # Gross, but I can't actually find it.
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# And yes, lamdas are <class 'function'> too.
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if isinstance(name,func) and match==None: match=name; name=None
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def __wrap__(funky):
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self.listeners.append(Listener(name,match,funky))
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return funky
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async def process_queue(self):
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while True:
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item=await self.event_queue.get():
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for listener in self.listeners:
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if listener==item.event_type:
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listener(item)
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#traceback.format_exc()
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39
models.py
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models.py
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from .utils import redc
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@redc
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class Account():
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mxid:str
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username:str
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homeserver:str
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avatar_url:str=''
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nickname:str=''
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rooms:List[Room]=field(default_factory=list)
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@redc
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class Room():
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id:str
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name:str=''
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members:List[Member]=field(default_factory=list)
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parents:List[Space]=field(default_factory=list)
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messages:List[Message]=field(default_factory=list)
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@redc
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class Space(Room):
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children:List[Room]=field(default_factory=list)
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@redc
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class Message():
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id:str
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contents:str
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author:Member
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@redc
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class User():
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mxid:str
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nick:str
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avatar:str
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@redc
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class Member(User):
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room_av:str
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room_nick:str
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62
utils.py
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62
utils.py
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from dataclasses import dataclass, field, _MISSING_TYPE as mt
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class Event():
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def __init__(self,event_type,data,raw_data,outbound=False):
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self.event_type=event_type
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self.data=data
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self.raw_data=raw_data
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self.outbound=outbound
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class Listener():
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def __init__(self,name,match,function,):
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self.name=name or function.__name__
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self.match=match
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self._matchstr=isinstance(match,str)
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self.function=function
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def __call__(self,*args,**kwargs):
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self.function(*args,**kwargs)
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def __eq__(self,other):
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if isinstance(other,str):
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if self._matchstr: return self.match==other
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return self.match(other) # If it's not a string, assume it's a callable.
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else: return super.__eq__(self,other)
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def __str__(self): return self.name
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# I HATE THE TYPEHINTS! I HATE THE TYPEHINTS!
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# I REALLY fucking hate the typehints. This is the messiest fucking shit.
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# WHY IS THIS NOT JUST A DEFAULT THING IN DATACLASS
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# Please tell me as soon as this egregious oversight is corrected.
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# I hate this function so much, I want to delete it ASAP.
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def redc(classy):
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wrapped=dataclass(classy)
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def from_dict(somedict):
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# Sure would be nice if we could just ask for a list of required args.
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count=len(dict(filter(lambda x:isinstance(x[1].default,mt) and isinstance(x[1].default_factory,mt),wrapped.__dataclass_fields__.items())))
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p=wrapped(*[None]*count)
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for k,v in somedict.items():
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if k not in p.__dict__: continue
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t=p.__dataclass_fields__[k].type
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try: parsed=t(v)
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except TypeError:
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for n in t.__args__:
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try: parsed=n(v)
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except: continue
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else: break
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# Everything failed so just leave it as default. 🤷
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# Watch that somehow generate an error one day anyway.
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else: parsed=p.__dict__[k]
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p.__dict__[k]=parsed
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wrapped.from_dict=from_dict
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return wrapped
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def get_or_create(needle,haystack,default):
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"""
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This is a wrapper for filter that can add stuff. Nothing special. Needle is a function, default isn't. Haystack is a list. I might fix that later.
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"""
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f=filter(needle,haystack)
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try: return next(f)
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except StopIteration: pass
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haystack.append(default)
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return default
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