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fd341a6f16
* test cases * test * benchmark * eval updates * improve search performance * remove data * formatting * add None type to config * update sanitization * push version * maketrans update * mypy
86 lines
2.7 KiB
Python
86 lines
2.7 KiB
Python
"""
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Copyright 2024, Zep Software, Inc.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import json
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from datetime import datetime
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from pydantic import BaseModel
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class ParsedMscMessage(BaseModel):
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speaker_name: str
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actual_timestamp: datetime
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content: str
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group_id: str
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def parse_msc_messages() -> list[list[ParsedMscMessage]]:
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msc_messages: list[list[ParsedMscMessage]] = []
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speakers = ['Alice', 'Bob']
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with open('../data/msc.json') as file:
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data = json.load(file)['data']
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for i, conversation in enumerate(data):
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messages: list[ParsedMscMessage] = []
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for previous_dialog in conversation['previous_dialogs']:
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dialog = previous_dialog['dialog']
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speaker_idx = 0
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for utterance in dialog:
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content = utterance['text']
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messages.append(
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ParsedMscMessage(
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speaker_name=speakers[speaker_idx],
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content=content,
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actual_timestamp=datetime.now(),
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group_id=str(i),
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)
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)
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speaker_idx += 1
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speaker_idx %= 2
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dialog = conversation['dialog']
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speaker_idx = 0
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for utterance in dialog:
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content = utterance['text']
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messages.append(
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ParsedMscMessage(
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speaker_name=speakers[speaker_idx],
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content=content,
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actual_timestamp=datetime.now(),
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group_id=str(i),
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)
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)
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speaker_idx += 1
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speaker_idx %= 2
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msc_messages.append(messages)
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return msc_messages
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def conversation_q_and_a() -> list[tuple[str, str]]:
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with open('../data/msc.json') as file:
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data = json.load(file)['data']
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qa: list[tuple[str, str]] = []
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for conversation in data:
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query = conversation['self_instruct']['B']
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answer = conversation['self_instruct']['A']
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qa.append((query, answer))
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return qa
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