typo
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@@ -77,7 +77,7 @@ def calculate_information_content(text):
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return entropy
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def get_cloest_chat_from_db(length: int, timestamp: str):
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def get_closest_chat_from_db(length: int, timestamp: str):
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"""从数据库中获取最接近指定时间戳的聊天记录
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Args:
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@@ -15,7 +15,7 @@ from ..chat.config import global_config
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from ..chat.utils import (
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calculate_information_content,
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cosine_similarity,
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get_cloest_chat_from_db,
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get_closest_chat_from_db,
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text_to_vector,
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)
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from ..models.utils_model import LLM_request
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@@ -190,19 +190,19 @@ class Hippocampus:
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# 短期:1h 中期:4h 长期:24h
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for _ in range(time_frequency.get('near')):
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random_time = current_timestamp - random.randint(1, 3600)
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messages = get_cloest_chat_from_db(length=chat_size, timestamp=random_time)
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messages = get_closest_chat_from_db(length=chat_size, timestamp=random_time)
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if messages:
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chat_samples.append(messages)
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for _ in range(time_frequency.get('mid')):
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random_time = current_timestamp - random.randint(3600, 3600 * 4)
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messages = get_cloest_chat_from_db(length=chat_size, timestamp=random_time)
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messages = get_closest_chat_from_db(length=chat_size, timestamp=random_time)
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if messages:
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chat_samples.append(messages)
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for _ in range(time_frequency.get('far')):
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random_time = current_timestamp - random.randint(3600 * 4, 3600 * 24)
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messages = get_cloest_chat_from_db(length=chat_size, timestamp=random_time)
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messages = get_closest_chat_from_db(length=chat_size, timestamp=random_time)
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if messages:
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chat_samples.append(messages)
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@@ -49,7 +49,7 @@ def calculate_information_content(text):
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return entropy
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def get_cloest_chat_from_db(length: int, timestamp: str):
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def get_closest_chat_from_db(length: int, timestamp: str):
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"""从数据库中获取最接近指定时间戳的聊天记录,并记录读取次数
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Returns:
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@@ -185,19 +185,19 @@ class Hippocampus:
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# 短期:1h 中期:4h 长期:24h
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for _ in range(time_frequency.get('near')):
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random_time = current_timestamp - random.randint(1, 3600*4)
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messages = get_cloest_chat_from_db(length=chat_size, timestamp=random_time)
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messages = get_closest_chat_from_db(length=chat_size, timestamp=random_time)
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if messages:
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chat_samples.append(messages)
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for _ in range(time_frequency.get('mid')):
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random_time = current_timestamp - random.randint(3600*4, 3600*24)
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messages = get_cloest_chat_from_db(length=chat_size, timestamp=random_time)
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messages = get_closest_chat_from_db(length=chat_size, timestamp=random_time)
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if messages:
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chat_samples.append(messages)
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for _ in range(time_frequency.get('far')):
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random_time = current_timestamp - random.randint(3600*24, 3600*24*7)
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messages = get_cloest_chat_from_db(length=chat_size, timestamp=random_time)
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messages = get_closest_chat_from_db(length=chat_size, timestamp=random_time)
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if messages:
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chat_samples.append(messages)
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@@ -69,7 +69,7 @@ def calculate_information_content(text):
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return entropy
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def get_cloest_chat_from_db(length: int, timestamp: str):
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def get_closest_chat_from_db(length: int, timestamp: str):
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"""从数据库中获取最接近指定时间戳的聊天记录,并记录读取次数
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Returns:
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@@ -452,19 +452,19 @@ class Hippocampus:
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# 短期:1h 中期:4h 长期:24h
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for _ in range(time_frequency.get('near')):
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random_time = current_timestamp - random.randint(1, 3600*4)
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messages = get_cloest_chat_from_db(length=chat_size, timestamp=random_time)
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messages = get_closest_chat_from_db(length=chat_size, timestamp=random_time)
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if messages:
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chat_samples.append(messages)
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for _ in range(time_frequency.get('mid')):
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random_time = current_timestamp - random.randint(3600*4, 3600*24)
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messages = get_cloest_chat_from_db(length=chat_size, timestamp=random_time)
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messages = get_closest_chat_from_db(length=chat_size, timestamp=random_time)
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if messages:
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chat_samples.append(messages)
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for _ in range(time_frequency.get('far')):
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random_time = current_timestamp - random.randint(3600*24, 3600*24*7)
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messages = get_cloest_chat_from_db(length=chat_size, timestamp=random_time)
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messages = get_closest_chat_from_db(length=chat_size, timestamp=random_time)
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if messages:
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chat_samples.append(messages)
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