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30 lines
1.0 KiB
Python
30 lines
1.0 KiB
Python
"""Serialize and deserialize tool specs for context layers."""
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import json
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from private_gpt.components.chat.models.chat_config_models import ToolSpec
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_TOOL_SPEC_KEYS = ("name", "type", "description", "input_schema")
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def serialize_tool_specs(tool_specs: list[ToolSpec]) -> str:
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"""Serialize tool specs into compact JSON for context storage."""
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payload: list[dict[str, object]] = []
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for tool in tool_specs:
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item: dict[str, object] = {}
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for key in _TOOL_SPEC_KEYS:
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value = getattr(tool, key)
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if value is not None:
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item[key] = value
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payload.append(item)
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return json.dumps(payload)
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def deserialize_tool_specs(raw_content: str) -> list[ToolSpec]:
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"""Deserialize TOOL_DEFINITIONS layer content into tool specs."""
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payload = json.loads(raw_content)
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if not isinstance(payload, list):
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return []
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valid_payload = [item for item in payload if isinstance(item, dict)]
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return [ToolSpec.model_validate(item) for item in valid_payload]
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