78 lines
3.1 KiB
Python
78 lines
3.1 KiB
Python
# Copyright (c) 2025 Patrick Motsch
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# All rights reserved.
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import logging
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import json
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from typing import Dict, Any
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from modules.datamodels.datamodelChat import ActionResult, ActionDocument
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logger = logging.getLogger(__name__)
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async def getDocumentIndex(self, parameters: Dict[str, Any]) -> ActionResult:
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try:
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workflow = self.services.workflow
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if not workflow:
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return ActionResult.isFailure(
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error="No workflow available"
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)
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resultType = parameters.get("resultType", "json").lower().strip().lstrip('.')
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# Get available documents index from chat service
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documentsIndex = self.services.chat.getAvailableDocuments(workflow)
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if not documentsIndex or documentsIndex == "No documents available" or documentsIndex == "NO DOCUMENTS AVAILABLE - This workflow has no documents to process.":
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# Return empty index structure
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if resultType == "json":
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indexData = {
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"workflowId": getattr(workflow, 'id', 'unknown'),
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"totalDocuments": 0,
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"rounds": [],
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"documentReferences": []
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}
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indexContent = json.dumps(indexData, indent=2, ensure_ascii=False)
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else:
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indexContent = "Document Index\n==============\n\nNo documents available in this workflow.\n"
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else:
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# Parse the document index string to extract structured information
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indexData = self.documentIndex.parseDocumentIndex(documentsIndex, workflow)
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if resultType == "json":
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indexContent = json.dumps(indexData, indent=2, ensure_ascii=False)
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elif resultType == "md":
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indexContent = self.formatting.formatAsMarkdown(indexData)
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else: # txt
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indexContent = self.formatting.formatAsText(indexData, documentsIndex)
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# Generate meaningful filename
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workflowContext = self.services.chat.getWorkflowContext()
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filename = self._generateMeaningfulFileName(
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"document_index",
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resultType if resultType in ["json", "txt", "md"] else "json",
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workflowContext,
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"getDocumentIndex"
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)
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validationMetadata = {
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"actionType": "context.getDocumentIndex",
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"resultType": resultType,
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"workflowId": getattr(workflow, 'id', 'unknown'),
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"totalDocuments": indexData.get("totalDocuments", 0) if isinstance(indexData, dict) else 0
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}
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# Create ActionDocument
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document = ActionDocument(
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documentName=filename,
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documentData=indexContent,
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mimeType="application/json" if resultType == "json" else "text/plain",
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validationMetadata=validationMetadata
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)
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return ActionResult.isSuccess(documents=[document])
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except Exception as e:
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logger.error(f"Error generating document index: {str(e)}")
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return ActionResult.isFailure(
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error=f"Failed to generate document index: {str(e)}"
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)
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