Liu Zhicong
73 lines
2.5 KiB
Python
73 lines
2.5 KiB
Python
import json
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from typing import Dict
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from jarvis.functional_modules.functional_module import CallerContext, moduleRegistry
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from jarvis.logger import logger
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def must_not_be_valid_json(s: str):
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"""
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Simply check if the string is a JSON.
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If the string does not contain even 1 pair of '{}',
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it must not be a JSON, we treat it as a normal string.
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"""
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if s.count('{') < 1 and s.count("{") < 1:
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return True
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return False
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def get_thoughts(reply: Dict, assistant_reply_json_valid: dict):
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assistant_thoughts_reasoning = None
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assistant_thoughts_speak = None
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assistant_thoughts = assistant_reply_json_valid.get("thoughts", {})
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assistant_thoughts_text = assistant_thoughts.get("text")
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if assistant_thoughts:
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assistant_thoughts_reasoning = assistant_thoughts.get("reasoning")
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assistant_thoughts_speak = assistant_thoughts.get("speak")
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reply["thoughts"] = assistant_thoughts_text
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reply["reasoning"] = assistant_thoughts_reasoning
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reply["speak"] = assistant_thoughts_speak
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logger.debug(f" THOUGHTS: {assistant_thoughts_text}")
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logger.debug(f"REASONING: {assistant_thoughts_reasoning}")
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logger.debug(f" SPEAKING: {assistant_thoughts_speak}")
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def get_function(reply: Dict, response_json: Dict):
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try:
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if "function" not in response_json:
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return "Error:", "Missing 'function' object in JSON"
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if not isinstance(response_json, dict):
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return "Error:", f"'response_json' object is not dictionary {response_json}"
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function = response_json["function"]
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if not isinstance(function, dict):
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return "Error:", "'function' object is not a dictionary"
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if "name" not in function:
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return "Error:", "Missing 'name' field in 'function' object"
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function_name = function["name"]
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# Use an empty dictionary if 'args' field is not present in 'function' object
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arguments = function.get("args", {})
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reply["function"] = function_name
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reply["arguments"] = arguments
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return function_name, arguments
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except json.decoder.JSONDecodeError:
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return "Error:", "Invalid JSON"
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except Exception as e:
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return "Error:", str(e)
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async def execute_function(
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context: CallerContext,
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function_name: str,
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**arguments,
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):
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logger.debug(f"Executing function: {function_name}({arguments})")
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await context.push_notification(f"Executing function: {function_name}({arguments})")
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return await moduleRegistry.execute_function(context, function_name, **arguments)
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