Upload run_coder.py

run_coder.py

@@ -0,0 +1,106 @@
+import os
+
+import hydra
+
+from flows.backends.api_info import ApiInfo
+from flows.messages import InputMessage
+from flows.utils.general_helpers import read_yaml_file
+from flows.utils.general_helpers import update_api_infos
+
+from flows import logging
+from flows.flow_cache import CACHING_PARAMETERS, clear_cache
+
+CACHING_PARAMETERS.do_caching = False  # Set to True in order to disable caching
+# clear_cache() # Uncomment this line to clear the cache
+
+logging.set_verbosity_debug()
+logging.auto_set_dir()
+
+dependencies = [
+    {"url": "aiflows/HumanStandardInputFlowModule", "revision": "5683a922372c5fa90be9f6447d6662d8d80341fc"},
+    {"url": "aiflows/ChatFlowModule", "revision": "a749ad10ed39776ba6721c37d0dc22af49ca0f17"},
+    {"url": "Tachi67/AbstractBossFlowModule", "revision": "main"},
+    {"url": "Tachi67/MemoryReadingFlowModule", "revision": "main"},
+    {"url": "Tachi67/PlanWriterFlowModule", "revision": "main"},
+    {"url": "Tachi67/ExtendLibraryFlowModule", "revision": "main"},
+    {"url": "Tachi67/RunCodeFlowModule", "revision": "main"},
+    {"url": "Tachi67/ReplanningFlowModule", "revision": "main"},
+    {"url": "Tachi67/CoderFlowModule", "revision": "main"},
+]
+
+from flows import flow_verse
+
+flow_verse.sync_dependencies(dependencies)
+
+def set_up_memfiles():
+    code_lib_file_loc = os.path.join(current_dir, "library.py")
+    coder_plan_file_loc = os.path.join(current_dir, "plan_coder.txt")
+    coder_logs_file_loc = os.path.join(current_dir, "logs_coder.txt")
+    extlib_plan_file_loc = os.path.join(current_dir, "plan_extlib.txt")
+    extlib_logs_file_loc = os.path.join(current_dir, "logs_extlib.txt")
+    with open(code_lib_file_loc, 'w') as file:
+        pass
+    with open(coder_plan_file_loc, 'w') as file:
+        pass
+    with open(coder_logs_file_loc, 'w') as file:
+        pass
+    with open(extlib_plan_file_loc, 'w') as file:
+        pass
+    with open(extlib_logs_file_loc, 'w') as file:
+        pass
+
+    memfiles_coder = {}
+    memfiles_extlib = {}
+    memfiles_writecode_interactivecoder = {}
+    memfiles_writecode_test = {}
+    memfiles_coder["plan"] = coder_plan_file_loc
+    memfiles_coder["logs"] = coder_logs_file_loc
+    memfiles_coder["code_library"] = code_lib_file_loc
+    memfiles_extlib["plan"] = extlib_plan_file_loc
+    memfiles_extlib["logs"] = extlib_logs_file_loc
+    memfiles_extlib["code_library"] = code_lib_file_loc
+    memfiles_writecode_interactivecoder["code_library"] = code_lib_file_loc
+    memfiles_writecode_test["code_library"] = code_lib_file_loc
+    cfg["memory_files"] = memfiles_coder
+    cfg["subflows_config"]["CtrlExMem"]["subflows_config"]["Executor"]["subflows_config"]["extend_library"]["memory_files"] = memfiles_extlib
+    cfg["subflows_config"]["CtrlExMem"]["subflows_config"]["Executor"]["subflows_config"]["extend_library"]["subflows_config"]["CtrlExMem"]["subflows_config"]["Executor"]["subflows_config"]["write_code"][
+        "subflows_config"]["Executor"]["subflows_config"]["write_code"][
+        "memory_files"] = memfiles_writecode_interactivecoder
+    cfg["subflows_config"]["CtrlExMem"]["subflows_config"]["Executor"]["subflows_config"]["extend_library"]["subflows_config"]["CtrlExMem"]["subflows_config"]["Executor"]["subflows_config"]["write_code"][
+        "subflows_config"]["Executor"]["subflows_config"]["test"]["memory_files"] = memfiles_writecode_test
+
+
+if __name__ == "__main__":
+    # ~~~ make sure to set the openai api key in the envs ~~~
+    key = os.getenv("OPENAI_API_KEY")
+    api_information = [ApiInfo(backend_used="openai", api_key=os.getenv("OPENAI_API_KEY"))]
+    path_to_output_file = None
+
+    current_dir = os.getcwd()
+    cfg_path = os.path.join(current_dir, "CoderFlow.yaml")
+    cfg = read_yaml_file(cfg_path)
+
+    # ~~~ setting api information into config ~~~
+    update_api_infos(cfg, api_information)
+
+    # ~~~ setting memory files into config ~~~
+    set_up_memfiles()
+
+    # ~~~ instantiating the flow and input data ~~~
+    CoderFlow = hydra.utils.instantiate(cfg, _recursive_=False, _convert_="partial")
+    input_data = {
+        #"goal": "define a calculator that supports addition and multiplication on complex numbers",
+        #"goal": "define a calculator that supports addition on complex numbers"
+        "goal": "fetch google's stock prices for the last 6 months and print the first 10 entries"
+    }
+    input_message = InputMessage.build(
+        data_dict=input_data,
+        src_flow="Launcher",
+        dst_flow=CoderFlow.name
+    )
+
+    # ~~~ calling the flow ~~~
+    output_message = CoderFlow(input_message)
+
+    # ~~~ printing the output ~~~
+    print(output_message)