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@ -30,39 +30,3 @@ lollmsElfServer = LOLLMSElfServer.get_instance()
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# ----------------------------------- events -----------------------------------------
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# ----------------------------------- events -----------------------------------------
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def add_events(sio:socketio):
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@sio.on('upgrade_vectorization')
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def upgrade_vectorization():
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if lollmsElfServer.config.data_vectorization_activate and lollmsElfServer.config.activate_skills_lib:
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try:
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run_async(partial(sio.emit,'show_progress'))
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lollmsElfServer.sio.sleep(0)
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ASCIIColors.yellow("0- Detected discussion vectorization request")
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folder = lollmsElfServer.lollms_paths.personal_discussions_path/"vectorized_dbs"
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folder.mkdir(parents=True, exist_ok=True)
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lollmsElfServer.build_long_term_skills_memory()
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ASCIIColors.yellow("1- Exporting discussions")
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discussions = lollmsElfServer.db.export_all_as_markdown_list_for_vectorization()
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ASCIIColors.yellow("2- Adding discussions to vectorizer")
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index = 0
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nb_discussions = len(discussions)
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for (title,discussion) in tqdm(discussions):
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run_async(partial(sio.emit,'update_progress',{'value':int(100*(index/nb_discussions))}))
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lollmsElfServer.sio.sleep(0)
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index += 1
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if discussion!='':
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skill = lollmsElfServer.learn_from_discussion(title, discussion)
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lollmsElfServer.long_term_memory.add_document(title, skill, chunk_size=lollmsElfServer.config.data_vectorization_chunk_size, overlap_size=lollmsElfServer.config.data_vectorization_overlap_size, force_vectorize=False, add_as_a_bloc=False)
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ASCIIColors.yellow("3- Indexing database")
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lollmsElfServer.long_term_memory.index()
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ASCIIColors.yellow("4- Saving database")
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lollmsElfServer.long_term_memory.save_to_json()
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if lollmsElfServer.config.data_vectorization_visualize_on_vectorization:
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lollmsElfServer.long_term_memory.show_document(show_interactive_form=True)
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ASCIIColors.yellow("Ready")
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except Exception as ex:
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ASCIIColors.error(f"Couldn't vectorize database:{ex}")
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run_async(partial(sio.emit,'hide_progress'))
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lollmsElfServer.sio.sleep(0)
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