mirror of
https://github.com/GammaTauAI/reflexion-human-eval
synced 2024-11-16 00:12:59 +00:00
53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
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from typing import List, Dict
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class EnvironmentHistory:
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def __init__(self, base_query: str, start_info, memory: List[str], history: List[Dict[str, str]] = []) -> None:
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self._cur_query: str = f'{_get_base_query(base_query, start_info, memory)}'
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self._history: List[Dict[str, str]] = history
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self._last_action: str = ''
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self._is_exhausted: bool = False
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def add(self, label: str, value: str) -> None:
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assert label in ['action', 'observation', 'human_edit']
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self._history += [{
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'label': label,
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'value': value,
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}]
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if label == 'action':
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if value == self._last_action:
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self._is_exhausted = True
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else:
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self._last_action = value
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def check_is_exhausted(self) -> bool:
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return self._is_exhausted
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def reset(self) -> None:
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self._history = []
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def __str__(self) -> str:
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s: str = self._cur_query + '\n'
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for i, item in enumerate(self._history):
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if item['label'] == 'action':
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s += f'> {item["value"]}'
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elif item['label'] == 'observation':
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s += item['value']
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# NOT CURRENTLY SUPPORTED
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elif item['label'] == 'human_edit':
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s += f'[human edit]: {item["value"]}'
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if i != len(self._history) - 1:
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s += '\n'
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return s
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def _get_base_query(base_query: str, start_info: str, memory: List[str]) -> str:
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query = base_query
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# add memory if it exists
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if len(memory) > 0:
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query += '\n\nYour memory for the task below:'
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for i, m in enumerate(memory):
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query += f'\nTrial {i}:\n{m.strip()}'
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query += f"\nHere is the task:\n{start_info}"
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return query
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