add run_Jarvis.py
Browse files- run_Jarvis.py +115 -0
run_Jarvis.py
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import os
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import hydra
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from aiflows.backends.api_info import ApiInfo
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from aiflows.messages import InputMessage
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from aiflows.utils.general_helpers import read_yaml_file
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from aiflows.utils.general_helpers import quick_load
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from aiflows import logging
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from aiflows.flow_cache import CACHING_PARAMETERS, clear_cache
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CACHING_PARAMETERS.do_caching = False # Set to True in order to disable caching
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# clear_cache() # Uncomment this line to clear the cache
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logging.set_verbosity_debug()
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logging.auto_set_dir()
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dependencies = [
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{"url": "aiflows/HumanStandardInputFlowModule", "revision": "4ff043522c89a964ea3a928ce09811c51a2b5b98"},
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{"url": "aiflows/ChatFlowModule", "revision": "297c90d08087d9ff3139521f11d1a48d7dc63ed4"},
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{"url": "Tachi67/AbstractBossFlowModule", "revision": "main"},
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{"url": "Tachi67/MemoryReadingFlowModule", "revision": "main"},
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{"url": "Tachi67/PlanWriterFlowModule", "revision": "main"},
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{"url": "Tachi67/ExtendLibraryFlowModule", "revision": "main"},
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{"url": "Tachi67/RunCodeFlowModule", "revision": "main"},
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{"url": "Tachi67/ReplanningFlowModule", "revision": "main"},
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{"url": "Tachi67/CoderFlowModule", "revision": "main"},
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{"url": "aiflows/JarvisFlowModule", "revision": "main"},
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]
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from aiflows import flow_verse
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flow_verse.sync_dependencies(dependencies)
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def set_up_memfiles(cfg):
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code_lib_file_loc = os.path.join(current_dir, "library.py")
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jarvis_plan_file_loc = os.path.join(current_dir, "plan_jarvis.txt")
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jarvis_logs_file_loc = os.path.join(current_dir, "logs_jarvis.txt")
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coder_plan_file_loc = os.path.join(current_dir, "plan_coder.txt")
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coder_logs_file_loc = os.path.join(current_dir, "logs_coder.txt")
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extlib_plan_file_loc = os.path.join(current_dir, "plan_extlib.txt")
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extlib_logs_file_loc = os.path.join(current_dir, "logs_extlib.txt")
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with open(code_lib_file_loc, 'w') as file:
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pass
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with open(jarvis_plan_file_loc, 'w') as file:
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pass
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with open(jarvis_logs_file_loc, 'w') as file:
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pass
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with open(coder_plan_file_loc, 'w') as file:
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pass
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with open(coder_logs_file_loc, 'w') as file:
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pass
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with open(extlib_plan_file_loc, 'w') as file:
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pass
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with open(extlib_logs_file_loc, 'w') as file:
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pass
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memfiles_jarvis = {}
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memfiles_coder = {}
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memfiles_extlib = {}
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memfiles_writecode_interactivecoder = {}
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memfiles_writecode_test = {}
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memfiles_jarvis["plan"] = jarvis_plan_file_loc
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memfiles_jarvis["logs"] = jarvis_logs_file_loc
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memfiles_coder["plan"] = coder_plan_file_loc
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memfiles_coder["logs"] = coder_logs_file_loc
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memfiles_coder["code_library"] = code_lib_file_loc
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memfiles_extlib["plan"] = extlib_plan_file_loc
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memfiles_extlib["logs"] = extlib_logs_file_loc
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memfiles_extlib["code_library"] = code_lib_file_loc
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memfiles_writecode_interactivecoder["code_library"] = code_lib_file_loc
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memfiles_writecode_test["code_library"] = code_lib_file_loc
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cfg["memory_files"] = memfiles_jarvis
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cfg["subflows_config"]["CtrlExMem"]["subflows_config"]["Executor"]["subflows_config"]["Coder"]["memory_files"] = memfiles_coder
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cfg["subflows_config"]["CtrlExMem"]["subflows_config"]["Executor"]["subflows_config"]["Coder"]["subflows_config"]["CtrlExMem"]["subflows_config"]["Executor"]["subflows_config"]["extend_library"]["memory_files"] = memfiles_extlib
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cfg["subflows_config"]["CtrlExMem"]["subflows_config"]["Executor"]["subflows_config"]["Coder"]["subflows_config"]["CtrlExMem"]["subflows_config"]["Executor"]["subflows_config"]["extend_library"]["subflows_config"]["CtrlExMem"]["subflows_config"]["Executor"]["subflows_config"]["write_code"][
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"subflows_config"]["Executor"]["subflows_config"]["write_code"][
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"memory_files"] = memfiles_writecode_interactivecoder
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cfg["subflows_config"]["CtrlExMem"]["subflows_config"]["Executor"]["subflows_config"]["Coder"]["subflows_config"]["CtrlExMem"]["subflows_config"]["Executor"]["subflows_config"]["extend_library"]["subflows_config"]["CtrlExMem"]["subflows_config"]["Executor"]["subflows_config"]["write_code"][
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"subflows_config"]["Executor"]["subflows_config"]["test"]["memory_files"] = memfiles_writecode_test
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if __name__ == "__main__":
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# ~~~ make sure to set the openai api key in the envs ~~~
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key = os.getenv("OPENAI_API_KEY")
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api_information = [ApiInfo(backend_used="openai", api_key=os.getenv("OPENAI_API_KEY"))]
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path_to_output_file = None
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current_dir = os.getcwd()
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cfg_path = os.path.join(current_dir, "JarvisFlow.yaml")
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cfg = read_yaml_file(cfg_path)
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# ~~~ setting api information into config ~~~
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quick_load(cfg, api_information)
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# ~~~ setting memory files into config ~~~
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set_up_memfiles(cfg)
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# ~~~ instantiating the flow and input data ~~~
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JarvisFlow = hydra.utils.instantiate(cfg, _recursive_=False, _convert_="partial")
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input_data = {
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"goal": "Download tesla's stock prices from 2022-01-01 to 2022-06-01, plot the prices."
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}
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input_message = InputMessage.build(
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data_dict=input_data,
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src_flow="Launcher",
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dst_flow=JarvisFlow.name
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)
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# ~~~ calling the flow ~~~
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| 112 |
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output_message = JarvisFlow(input_message)
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| 113 |
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# ~~~ printing the output ~~~
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| 115 |
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print(output_message)
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