125 lines
4.8 KiB
Python
125 lines
4.8 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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import base64
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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 uploadFile(self, parameters: Dict[str, Any]) -> ActionResult:
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try:
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connectionReference = parameters.get("connectionReference")
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if not connectionReference:
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return ActionResult.isFailure(error="connectionReference parameter is required")
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siteIdParam = parameters.get("siteId")
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if not siteIdParam:
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return ActionResult.isFailure(error="siteId parameter is required")
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folderPath = parameters.get("folderPath")
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if not folderPath:
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return ActionResult.isFailure(error="folderPath parameter is required")
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fileName = parameters.get("fileName")
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if not fileName:
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return ActionResult.isFailure(error="fileName parameter is required")
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contentParam = parameters.get("content")
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if not contentParam:
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return ActionResult.isFailure(error="content parameter is required")
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# Extract siteId from document if it's a reference
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siteId = None
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if isinstance(siteIdParam, str):
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from modules.datamodels.datamodelDocref import DocumentReferenceList
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try:
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docList = DocumentReferenceList.from_string_list([siteIdParam])
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chatDocuments = self.services.chat.getChatDocumentsFromDocumentList(docList)
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if chatDocuments and len(chatDocuments) > 0:
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siteInfoJson = json.loads(chatDocuments[0].documentData)
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siteId = siteInfoJson.get("id")
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except:
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pass
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if not siteId:
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siteId = siteIdParam
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else:
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siteId = siteIdParam
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if not siteId:
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return ActionResult.isFailure(error="Could not extract siteId from parameter")
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# Get file content from document
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from modules.datamodels.datamodelDocref import DocumentReferenceList
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docList = DocumentReferenceList.from_string_list([contentParam] if isinstance(contentParam, str) else contentParam)
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chatDocuments = self.services.chat.getChatDocumentsFromDocumentList(docList)
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if not chatDocuments or len(chatDocuments) == 0:
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return ActionResult.isFailure(error="Could not get file content from document reference")
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fileContentBase64 = chatDocuments[0].documentData
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# Decode base64
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try:
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fileContent = base64.b64decode(fileContentBase64)
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except Exception as e:
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return ActionResult.isFailure(error=f"Could not decode base64 file content: {str(e)}")
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# Get Microsoft connection
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connection = self.connection.getMicrosoftConnection(connectionReference)
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if not connection:
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return ActionResult.isFailure(error="No valid Microsoft connection found for the provided connection reference")
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# Upload file
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uploadResult = await self.services.sharepoint.uploadFile(
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siteId=siteId,
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folderPath=folderPath,
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fileName=fileName,
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content=fileContent
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)
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if "error" in uploadResult:
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return ActionResult.isFailure(error=f"Upload failed: {uploadResult['error']}")
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logger.info(f"Uploaded file to SharePoint: {folderPath}/{fileName} ({len(fileContent)} bytes)")
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# Generate filename
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workflowContext = self.services.chat.getWorkflowContext() if hasattr(self.services, 'chat') else None
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filename = self._generateMeaningfulFileName(
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"file_upload_result",
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"json",
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workflowContext,
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"uploadFile"
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)
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result = {
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"success": True,
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"siteId": siteId,
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"filePath": f"{folderPath}/{fileName}",
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"fileSize": len(fileContent),
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"uploadResult": uploadResult
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}
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validationMetadata = self._createValidationMetadata(
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"uploadFile",
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siteId=siteId,
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filePath=f"{folderPath}/{fileName}",
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fileSize=len(fileContent)
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)
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document = ActionDocument(
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documentName=filename,
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documentData=json.dumps(result, indent=2),
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mimeType="application/json",
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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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errorMsg = f"Error uploading file to SharePoint: {str(e)}"
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logger.error(errorMsg)
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return ActionResult.isFailure(error=errorMsg)
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