34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
# Copyright (c) 2025 Patrick Motsch
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# All rights reserved.
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import logging
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from typing import Dict, Any
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from modules.datamodels.datamodelChat import ActionResult
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logger = logging.getLogger(__name__)
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async def convertDocument(self, parameters: Dict[str, Any]) -> ActionResult:
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documentList = parameters.get("documentList", [])
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if not documentList:
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return ActionResult.isFailure(error="documentList is required")
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targetFormat = parameters.get("targetFormat")
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if not targetFormat:
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return ActionResult.isFailure(error="targetFormat is required")
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preserveStructure = parameters.get("preserveStructure", True)
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# Normalize format (remove leading dot if present)
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normalizedFormat = targetFormat.strip().lstrip('.').lower()
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aiPrompt = f"Convert the provided document(s) to {normalizedFormat.upper()} format."
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if preserveStructure:
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aiPrompt += " Preserve all document structure including headings, tables, formatting, lists, and layout."
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aiPrompt += " Ensure the converted document maintains the same content and information as the original."
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return await self.process({
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"aiPrompt": aiPrompt,
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"documentList": documentList,
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"resultType": normalizedFormat
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})
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