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from typing import Dict, Any |
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from aiflows.base_flows.atomic import AtomicFlow |
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class SaveCodeAtomicFlow(AtomicFlow): |
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def _check_input(self, input_data: Dict[str, Any]): |
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assert "code" in input_data, "code is not passed to SaveCodeAtomicFlow" |
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assert "memory_files" in input_data, "memory_files is not passed to SaveCodeFlow" |
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assert "code_library" in input_data["memory_files"], "code_library not in memory_files" |
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code_library_location = input_data["memory_files"]["code_library"] |
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with open(code_library_location, 'a') as file: |
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pass |
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def _call(self, input_data: Dict[str, Any]): |
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try: |
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code_to_append = input_data["code"] |
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code_lib_loc = input_data["memory_files"]["code_library"] |
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with open(code_lib_loc, 'a') as file: |
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file.write(code_to_append + '\n') |
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return { |
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"result": "code successfully written to the library", |
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"summary": f"ExtendLibrayFlow/SaveCodeAtomicFlow: code written to {code_lib_loc}" |
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} |
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except Exception as e: |
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error_msg = str(e) |
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return { |
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"result": f"error occurred: {error_msg}", |
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"summary": f"ExtendLibrayFlow/SaveCodeAtomicFlow: error occurred: {error_msg}" |
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} |
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def run( |
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self, |
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input_data: Dict[str, Any] |
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): |
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self._check_input(input_data) |
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return self._call(input_data) |
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