Upload run_replanning.py

run_replanning.py

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+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 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": "Tachi67/ReplanningFlowModule", "revision": "main"},
+    {"url": "Tachi67/PlanGeneratorFlowModule", "revision": "main"},
+    {"url": "Tachi67/InteractivePlanGenFlowModule", "revision": "main"},
+    {"url": "Tachi67/PlanWriterFlowModule", "revision": "main"},
+    {"url": "Tachi67/PlanFileEditFlowModule", "revision": "main"},
+    {"url": "Tachi67/ParseFeedbackFlowModule", "revision": "main"},
+    {"url": "aiflows/HumanStandardInputFlowModule", "revision": "5683a922372c5fa90be9f6447d6662d8d80341fc"}
+]
+
+from flows import flow_verse
+
+flow_verse.sync_dependencies(dependencies)
+
+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
+
+    # ~~~ setting api information into config ~~~
+    current_dir = os.getcwd()
+    cfg_path = os.path.join(current_dir, "ReplanningFlow.yaml")
+    cfg = read_yaml_file(cfg_path)
+    cfg["subflows_config"]["Controller"]["backend"]["api_infos"] = api_information
+    cfg["subflows_config"]["Executor"]["subflows_config"]["write_plan"]["subflows_config"]["PlanGenerator"]["backend"]["api_infos"] = api_information
+
+    # ~~~ instantiating the flow and input data ~~~
+    ReplanningFlow = hydra.utils.instantiate(cfg, _recursive_=False, _convert_="partial")
+
+    # ~~~ creating the plan file location (of the upper level flow e.g. ExtLib)
+    plan_file_location = os.path.join(current_dir, "ExtLib_plan.txt")
+    with open(plan_file_location, 'w') as file:
+        pass
+
+    input_data = {
+        "goal": "data source OpenWeatherMap is deprecated",
+        "plan": "1. Write a function that fetches today's weather at Lausanne from OpenWeatherMap. \n 2. Write a funtion that prints the fetched data in a formatted way.",
+        "plan_file_location": plan_file_location
+    }
+    input_message = InputMessage.build(
+        data_dict=input_data,
+        src_flow="Launcher",
+        dst_flow=ReplanningFlow.name
+    )
+
+    # ~~~ calling the flow ~~~
+    output_message = ReplanningFlow(input_message)