graphiti/examples/multi_session_conversation_memory/parse_msc_messages.py
Preston Rasmussen 3199e893ed
add_fact endpoint (#207)
* add_fact endpoint

* bump version

* add edge invalidation

* update
2024-11-06 09:12:21 -05:00

85 lines
2.7 KiB
Python

"""
Copyright 2024, Zep Software, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
import json
from datetime import datetime, timezone
from pydantic import BaseModel
class ParsedMscMessage(BaseModel):
speaker_name: str
actual_timestamp: datetime
content: str
group_id: str
def parse_msc_messages() -> list[list[ParsedMscMessage]]:
msc_messages: list[list[ParsedMscMessage]] = []
speakers = ['Alice', 'Bob']
with open('../data/msc.json') as file:
data = json.load(file)['data']
for i, conversation in enumerate(data):
messages: list[ParsedMscMessage] = []
for previous_dialog in conversation['previous_dialogs']:
dialog = previous_dialog['dialog']
speaker_idx = 0
for utterance in dialog:
content = utterance['text']
messages.append(
ParsedMscMessage(
speaker_name=speakers[speaker_idx],
content=content,
actual_timestamp=datetime.now(timezone.utc),
group_id=str(i),
)
)
speaker_idx += 1
speaker_idx %= 2
dialog = conversation['dialog']
speaker_idx = 0
for utterance in dialog:
content = utterance['text']
messages.append(
ParsedMscMessage(
speaker_name=speakers[speaker_idx],
content=content,
actual_timestamp=datetime.now(timezone.utc),
group_id=str(i),
)
)
speaker_idx += 1
speaker_idx %= 2
msc_messages.append(messages)
return msc_messages
def conversation_q_and_a() -> list[tuple[str, str]]:
with open('../data/msc.json') as file:
data = json.load(file)['data']
qa: list[tuple[str, str]] = []
for conversation in data:
query = conversation['self_instruct']['B']
answer = conversation['self_instruct']['A']
qa.append((query, answer))
return qa