refactor: improve code readability and efficiency
Enhanced code readability by formatting multiline log statements and adding missing line breaks in conditional blocks. Adopted a more robust error handling approach by catching general exceptions in encoding determination. Eliminated redundant variable assignments for async tasks to streamline event handling and response callbacks, directly invoking `asyncio.create_task()` for better clarity and efficiency. Simplify message and file sending routines by removing unnecessary status assignments, implying a focus on action over response verification. Lastly, optimized message truncation logic by discarding the unused result, focusing on in-place operation for token limit adherence. These changes collectively contribute to a cleaner, more maintainable, and efficient codebase, addressing potential bugs and performance bottlenecks.
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1 changed files with 13 additions and 8 deletions
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@ -245,6 +245,7 @@ class GPTBot:
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# Set up WolframAlpha
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if "WolframAlpha" in config:
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from .wolframalpha import WolframAlpha
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bot.calculation_api = WolframAlpha(
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config["WolframAlpha"]["APIKey"], bot.logger
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)
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@ -252,6 +253,7 @@ class GPTBot:
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# Set up TrackingMore
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if "TrackingMore" in config:
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from .trackingmore import TrackingMore
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bot.parcel_api = TrackingMore(config["TrackingMore"]["APIKey"], bot.logger)
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# Set up the Matrix client
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@ -334,8 +336,11 @@ class GPTBot:
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try:
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event_type = event.source["content"]["msgtype"]
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except KeyError:
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if event.__class__.__name__ in ("RoomMemberEvent", ):
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self.logger.log(f"Ignoring event of type {event.__class__.__name__}", "debug")
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if event.__class__.__name__ in ("RoomMemberEvent",):
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self.logger.log(
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f"Ignoring event of type {event.__class__.__name__}",
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"debug",
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)
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continue
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self.logger.log(f"Could not process event: {event}", "warning")
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continue # This is most likely not a message event
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@ -381,7 +386,7 @@ class GPTBot:
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try:
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encoding = tiktoken.encoding_for_model(model)
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except:
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except Exception:
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# TODO: Handle this more gracefully
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encoding = tiktoken.encoding_for_model("gpt-3.5-turbo")
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@ -601,7 +606,7 @@ class GPTBot:
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)
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return
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task = asyncio.create_task(self._event_callback(room, event))
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asyncio.create_task(self._event_callback(room, event))
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def room_uses_timing(self, room: MatrixRoom):
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"""Check if a room uses timing.
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@ -629,7 +634,7 @@ class GPTBot:
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await callback(response, self)
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async def response_callback(self, response: Response):
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task = asyncio.create_task(self._response_callback(response))
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asyncio.create_task(self._response_callback(response))
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async def accept_pending_invites(self):
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"""Accept all pending invites."""
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@ -736,7 +741,7 @@ class GPTBot:
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"url": content_uri,
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}
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status = await self.matrix_client.room_send(room, "m.room.message", content)
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await self.matrix_client.room_send(room, "m.room.message", content)
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self.logger.log("Sent image", "debug")
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@ -770,7 +775,7 @@ class GPTBot:
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"url": content_uri,
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}
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status = await self.matrix_client.room_send(room, "m.room.message", content)
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await self.matrix_client.room_send(room, "m.room.message", content)
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self.logger.log("Sent file", "debug")
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@ -1306,7 +1311,7 @@ class GPTBot:
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chat_messages.append({"role": "system", "content": message_body})
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# Truncate messages to fit within the token limit
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truncated_messages = self._truncate(
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self._truncate(
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chat_messages[1:], self.max_tokens - 1, system_message=system_message
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)
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