write diary in chunks

matrix_pygmalion_bot/bot/ai/langchain.py

@@ -315,16 +315,33 @@ class AI(object):
         #ToDo: max_tokens and stop
 
     async def diary(self, room_id):
-        await asyncio.sleep(0) # yield for matrix-nio
         diary_chain = LLMChain(llm=self.llm_summary, prompt=prompt_outline, verbose=True)
         conversation_memory = self.get_memory(room_id)
 
-        if self.llm_summary.get_num_tokens(conversation_memory.buffer_day) < 1600:
-            input_text = conversation_memory.buffer_day
-        else:
-            input_text = conversation_memory.moving_summary_buffer
+        text_splitter = RecursiveCharacterTextSplitter(
+            separators = ["\n", " ", ""],
+            chunk_size = 1600,
+            chunk_overlap  = 40,
+            length_function = self.llm_summary.get_num_tokens,
+        )
+        docs = text_splitter.create_documents([conversation_memory.buffer_day])
+        string_diary = []
+        for i in range(len(docs)):
+            logger.info("Writing diary... page {i} of {len(docs)}.")
+            await asyncio.sleep(0) # yield for matrix-nio
+            diary_chunk = await diary_chain.apredict(text=docs[i].page_content, ai_name=self.bot.name)
+            string_diary.append(diary_chunk)
+        diary_entry = "\n".join(string_diary)
+
+        if self.llm_summary.get_num_tokens(diary_entry) > 1400:
+            logger.info("Summarizing diary entry.")
+            await asyncio.sleep(0)
+            diary_entry = await self.summarize(diary_entry)
+        if self.llm_summary.get_num_tokens(diary_entry) > 1600:
+            logger.warning("Diary entry too long. Discarding.")
+            diary_entry = conversation_memory.moving_summary_buffer
 
-        return await diary_chain.apredict(text=input_text, ai_name=self.bot.name)
+        return diary_entry
 
 
     async def agent(self):