Merge cluster to master #3
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@ -57,7 +57,6 @@ def openai_chat_completions():
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else:
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handler.prompt = transform_messages_to_prompt(handler.request.json['messages'])
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generated_text = ''
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response_status_code = 0
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start_time = time.time()
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@ -98,61 +97,62 @@ def openai_chat_completions():
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oai_string = generate_oai_string(30)
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def generate():
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response = generator(msg_to_backend, handler.backend_url)
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generated_text = ''
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partial_response = b''
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for chunk in response.iter_content(chunk_size=1):
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partial_response += chunk
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if partial_response.endswith(b'\x00'):
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json_strs = partial_response.split(b'\x00')
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for json_str in json_strs:
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if json_str:
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try:
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json_obj = json.loads(json_str.decode())
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new = json_obj['text'][0].split(handler.prompt + generated_text)[1]
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generated_text = generated_text + new
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except IndexError:
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# ????
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continue
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try:
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response = generator(msg_to_backend, handler.backend_url)
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generated_text = ''
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partial_response = b''
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for chunk in response.iter_content(chunk_size=1):
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partial_response += chunk
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if partial_response.endswith(b'\x00'):
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json_strs = partial_response.split(b'\x00')
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for json_str in json_strs:
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if json_str:
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try:
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json_obj = json.loads(json_str.decode())
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new = json_obj['text'][0].split(handler.prompt + generated_text)[1]
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generated_text = generated_text + new
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except IndexError:
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# ????
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continue
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data = {
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"id": f"chatcmpl-{oai_string}",
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"object": "chat.completion.chunk",
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"created": int(time.time()),
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"model": model,
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"choices": [
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{
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"index": 0,
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"delta": {
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"content": new
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},
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"finish_reason": None
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}
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]
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}
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yield f'data: {json.dumps(data)}\n\n'
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yield 'data: [DONE]\n\n'
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end_time = time.time()
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elapsed_time = end_time - start_time
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log_to_db(
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handler.client_ip,
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handler.token,
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handler.prompt,
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generated_text,
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elapsed_time,
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handler.parameters,
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r_headers,
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response_status_code,
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r_url,
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handler.backend_url,
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)
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data = {
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"id": f"chatcmpl-{oai_string}",
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"object": "chat.completion.chunk",
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"created": int(time.time()),
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"model": model,
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"choices": [
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{
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"index": 0,
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"delta": {
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"content": new
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},
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"finish_reason": None
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}
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]
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}
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yield f'data: {json.dumps(data)}\n\n'
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yield 'data: [DONE]\n\n'
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end_time = time.time()
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elapsed_time = end_time - start_time
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log_to_db(
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handler.client_ip,
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handler.token,
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handler.prompt,
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generated_text,
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elapsed_time,
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handler.parameters,
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r_headers,
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response_status_code,
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r_url,
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handler.backend_url,
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)
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finally:
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# The worker incremented it, we'll decrement it.
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decrement_ip_count(handler.client_ip, 'processing_ips')
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decr_active_workers(handler.selected_model, handler.backend_url)
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print(len(generated_text))
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return Response(generate(), mimetype='text/event-stream')
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except Exception:
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traceback.print_exc()
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return 'INTERNAL SERVER', 500
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finally:
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# The worker incremented it, we'll decrement it.
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decrement_ip_count(handler.client_ip, 'processing_ips')
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decr_active_workers(handler.selected_model, handler.backend_url)
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print(len(generated_text))
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