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49 lines
1.7 KiB
Python
49 lines
1.7 KiB
Python
from typing import List, Optional
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import json
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from config import Config
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from call_ai_function import call_ai_function
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from json_parser import fix_and_parse_json
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from auto_gpt.commands import command
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cfg = Config()
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# Evaluating code
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@command("evaluate_code", "Evaluate Code", '"code": "<full _code_string>"')
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def evaluate_code(code: str) -> List[str]:
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function_string = "def analyze_code(code: str) -> List[str]:"
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args = [code]
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description_string = """Analyzes the given code and returns a list of suggestions for improvements."""
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result_string = call_ai_function(function_string, args, description_string)
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return result_string
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# Improving code
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@command("improve_code", "Get Improved Code", '"suggestions": "<list_of_suggestions>", "code": "<full_code_string>"')
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def improve_code(suggestions: List[str], code: str) -> str:
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function_string = (
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"def generate_improved_code(suggestions: List[str], code: str) -> str:"
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)
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args = [json.dumps(suggestions), code]
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description_string = """Improves the provided code based on the suggestions provided, making no other changes."""
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result_string = call_ai_function(function_string, args, description_string)
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return result_string
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# Writing tests
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@command("write_tests", "Write Tests", '"code": "<full_code_string>", "focus": "<list_of_focus_areas>"')
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def write_tests(code: str, focus: List[str]) -> str:
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function_string = (
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"def create_test_cases(code: str, focus: Optional[str] = None) -> str:"
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)
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args = [code, json.dumps(focus)]
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description_string = """Generates test cases for the existing code, focusing on specific areas if required."""
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result_string = call_ai_function(function_string, args, description_string)
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return result_string
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