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runner.cli parsers set as a library (#5021)

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* INIT 1/2

* INIT 2/2

* LINT

---------

Co-authored-by: James Collins <collijk@uw.edu>
This commit is contained in:
ph-ausseil
2023-07-20 16:42:39 +02:00
committed by GitHub
parent 0c94bb5f25
commit 307644a8c5
2 changed files with 51 additions and 47 deletions
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53
autogpt/core/runner/cli_app/main.py
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@@ -2,6 +2,12 @@ import click
from autogpt.core.agent import AgentSettings, SimpleAgent
from autogpt.core.runner.client_lib.logging import get_client_logger
from autogpt.core.runner.client_lib.parser import (
parse_ability_result,
parse_agent_name_and_goals,
parse_agent_plan,
parse_next_ability,
)
async def run_auto_gpt(user_configuration: dict):
@@ -61,50 +67,3 @@ async def run_auto_gpt(user_configuration: dict):
)
ability_result = await agent.execute_next_ability(user_input)
print(parse_ability_result(ability_result))
def parse_agent_name_and_goals(name_and_goals: dict) -> str:
parsed_response = f"Agent Name: {name_and_goals['agent_name']}\n"
parsed_response += f"Agent Role: {name_and_goals['agent_role']}\n"
parsed_response += "Agent Goals:\n"
for i, goal in enumerate(name_and_goals["agent_goals"]):
parsed_response += f"{i+1}. {goal}\n"
return parsed_response
def parse_agent_plan(plan: dict) -> str:
parsed_response = f"Agent Plan:\n"
for i, task in enumerate(plan["task_list"]):
parsed_response += f"{i+1}. {task['objective']}\n"
parsed_response += f"Task type: {task['type']} "
parsed_response += f"Priority: {task['priority']}\n"
parsed_response += f"Ready Criteria:\n"
for j, criteria in enumerate(task["ready_criteria"]):
parsed_response += f" {j+1}. {criteria}\n"
parsed_response += f"Acceptance Criteria:\n"
for j, criteria in enumerate(task["acceptance_criteria"]):
parsed_response += f" {j+1}. {criteria}\n"
parsed_response += "\n"
return parsed_response
def parse_next_ability(current_task, next_ability: dict) -> str:
parsed_response = f"Current Task: {current_task.objective}\n"
ability_args = ", ".join(
f"{k}={v}" for k, v in next_ability["ability_arguments"].items()
)
parsed_response += f"Next Ability: {next_ability['next_ability']}({ability_args})\n"
parsed_response += f"Motivation: {next_ability['motivation']}\n"
parsed_response += f"Self-criticism: {next_ability['self_criticism']}\n"
parsed_response += f"Reasoning: {next_ability['reasoning']}\n"
return parsed_response
def parse_ability_result(ability_result) -> str:
parsed_response = f"Ability: {ability_result['ability_name']}\n"
parsed_response += f"Ability Arguments: {ability_result['ability_args']}\n"
parsed_response = f"Ability Result: {ability_result['success']}\n"
parsed_response += f"Message: {ability_result['message']}\n"
parsed_response += f"Data: {ability_result['new_knowledge']}\n"
return parsed_response

45
autogpt/core/runner/client_lib/parser.py Executable file
View File

@@ -0,0 +1,45 @@
def parse_agent_name_and_goals(name_and_goals: dict) -> str:
parsed_response = f"Agent Name: {name_and_goals['agent_name']}\n"
parsed_response += f"Agent Role: {name_and_goals['agent_role']}\n"
parsed_response += "Agent Goals:\n"
for i, goal in enumerate(name_and_goals["agent_goals"]):
parsed_response += f"{i+1}. {goal}\n"
return parsed_response
def parse_agent_plan(plan: dict) -> str:
parsed_response = f"Agent Plan:\n"
for i, task in enumerate(plan["task_list"]):
parsed_response += f"{i+1}. {task['objective']}\n"
parsed_response += f"Task type: {task['type']} "
parsed_response += f"Priority: {task['priority']}\n"
parsed_response += f"Ready Criteria:\n"
for j, criteria in enumerate(task["ready_criteria"]):
parsed_response += f" {j+1}. {criteria}\n"
parsed_response += f"Acceptance Criteria:\n"
for j, criteria in enumerate(task["acceptance_criteria"]):
parsed_response += f" {j+1}. {criteria}\n"
parsed_response += "\n"
return parsed_response
def parse_next_ability(current_task, next_ability: dict) -> str:
parsed_response = f"Current Task: {current_task.objective}\n"
ability_args = ", ".join(
f"{k}={v}" for k, v in next_ability["ability_arguments"].items()
)
parsed_response += f"Next Ability: {next_ability['next_ability']}({ability_args})\n"
parsed_response += f"Motivation: {next_ability['motivation']}\n"
parsed_response += f"Self-criticism: {next_ability['self_criticism']}\n"
parsed_response += f"Reasoning: {next_ability['reasoning']}\n"
return parsed_response
def parse_ability_result(ability_result) -> str:
parsed_response = f"Ability: {ability_result['ability_name']}\n"
parsed_response += f"Ability Arguments: {ability_result['ability_args']}\n"
parsed_response = f"Ability Result: {ability_result['success']}\n"
parsed_response += f"Message: {ability_result['message']}\n"
parsed_response += f"Data: {ability_result['new_knowledge']}\n"
return parsed_response