* chore: Initial draft of stubs * chore: Add comments and mock implementation of the add_episode method * chore: Add success and error callbacks * chore: Add success and error callbacks * refactor: Fix conflicts with the latest merge
65 lines
2.2 KiB
Python
65 lines
2.2 KiB
Python
import json
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from typing import TypedDict, Protocol
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from .models import Message, PromptVersion, PromptFunction
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class Prompt(Protocol):
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v1: PromptVersion
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class Versions(TypedDict):
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v1: PromptFunction
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def v1(context: dict[str, any]) -> list[Message]:
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return [
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Message(
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role="system",
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content="You are a helpful assistant that extracts graph nodes from provided context.",
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),
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Message(
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role="user",
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content=f"""
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Given the following context, extract new semantic nodes that need to be added to the knowledge graph:
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Existing Nodes:
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{json.dumps(context['existing_nodes'], indent=2)}
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Previous Episodes:
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{json.dumps([ep['content'] for ep in context['previous_episodes']], indent=2)}
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New Episode:
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Content: {context["episode_content"]}
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Timestamp: {context['episode_timestamp']}
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Extract new semantic nodes based on the content of the current episode, while considering the existing nodes and context from previous episodes.
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Guidelines:
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1. Only extract new nodes that don't already exist in the graph structure.
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2. Focus on entities, concepts, or actors that are central to the current episode.
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3. Avoid creating nodes for relationships or actions (these will be handled as edges later).
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4. Provide a brief but informative summary for each node.
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5. If a node seems to represent an existing concept but with updated information, don't create a new node. This will be handled by edge updates.
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6. Do not create nodes for episodic content (like Message 1 or Message 2).
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Respond with a JSON object in the following format:
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{{
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"new_nodes": [
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{{
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"name": "Unique identifier for the node",
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"labels": ["Semantic", "OptionalAdditionalLabel"],
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"summary": "Brief summary of the node's role or significance"
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}}
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]
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}}
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If no new nodes need to be added, return an empty list for "new_nodes".
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""",
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),
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]
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versions: Versions = {
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"v1": v1,
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}
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