call details with devce info and participant join,leave time
i am working on teams integration project when i run grap api it does not show data for device and participant timing details graph api for extacting data for call including { "call_id": "004998be-da70-40f6-999a-3c84484c98b1", "start_date_time": "2024-12-17T11:53:14.9897859Z", "end_date_time": "2024-12-17T12:16:55.6045446Z", "participants": [ { "participant_name": "Surbhi Yadav", "join_time": "Unknown", "leave_time": "Unknown" },
Adaptive Card not Displaying On Teams Mobile
Hey everyone, I've been messing with Power Automate to create Adaptive Cards after every day to update the team on how we're doing. It works perfectly on Desktop, however, some text is not visible on Mobile as seen in attached pictures. The first picture is how it displays on mobile, the second is how it displays on desktop. Changing my theme to light still does not show the numbers that should be there. I've attached the adaptive card json at the bottom, any help is appreciated! { "type": "AdaptiveCard", "body": [ { "type": "Container", "items": [ { "type": "TextBlock", "size": "Large", "weight": "Bolder", "text": "DC Data for Last Shipping Day ", "spacing": "Large", "horizontalAlignment": "Center", "color": "Good" }, { "type": "TextBlock", "text": "Great work! We shipped @{add(add(int(variables('Output')[0]['Orders Shipped']), int(variables('Output')[1]['Orders Shipped'])), int(variables('Output')[2]['Orders Shipped']))} orders.", "wrap": true, "size": "Medium", "horizontalAlignment": "Center" } ] }, { "type": "ColumnSet", "columns": [ { "type": "Column", "width": "stretch", "items": [ { "type": "TextBlock", "wrap": true, "text": "Wisconsin:\n\n", "size": "Large", "weight": "Bolder" }, { "type": "FactSet", "facts": [ { "title": "Orders Shipped:", "value": "@{variables('Output')[0]['Orders Shipped']}" }, { "title": "Orders Left to Ship:", "value": "@{variables('Output')[0]['Orders Left to Ship']}" }, { "title": "Overdue Orders:", "value": "@{variables('Output')[0]['Overdue Orders ']}" } ] } ] }, { "type": "Column", "width": "stretch", "items": [ { "type": "TextBlock", "text": "Nevada:", "wrap": true, "size": "Large", "weight": "Bolder" }, { "type": "FactSet", "facts": [ { "title": "Orders Shipped:", "value": "@{variables('Output')[1]['Orders Shipped']}", "color": "Accent" }, { "title": "Orders Left to Ship:", "value": "@{variables('Output')[1]['Orders Left to Ship']}" }, { "title": "Overdue Orders:", "value": "@{variables('Output')[1]['Overdue Orders ']}" } ] } ] }, { "type": "Column", "width": "stretch", "items": [ { "type": "TextBlock", "text": "Mississippi:", "wrap": true, "size": "Large", "weight": "Bolder" }, { "type": "FactSet", "facts": [ { "title": "Orders Shipped:", "value": "@{variables('Output')[2]['Orders Shipped']}" }, { "title": "Orders Left to Ship:", "value": "@{variables('Output')[2]['Orders Left to Ship']}" }, { "title": "Overdue Orders:", "value": "@{variables('Output')[2]['Overdue Orders ']}" } ] } ] } ] }, { "type": "ColumnSet", "columns": [ { "type": "Column", "width": "stretch", "items": [ { "type": "TextBlock", "text": "TOTAL PERCENTAGE", "size": "Large", "color": "Accent", "maxLines": 3, "wrap": true, "horizontalAlignment": "Center" } ], "verticalContentAlignment": "Center" }, { "type": "Column", "width": "stretch", "items": [ { "type": "TextBlock", "wrap": true, "text": " @{body('Format_number')}%", "size": "ExtraLarge", "horizontalAlignment": "Center", "color": "Good" } ], "verticalContentAlignment": "Center" }, { "type": "Column", "width": "stretch", "items": [ { "type": "Image", "url": "imageURL", "horizontalAlignment": "Center", "spacing": "None" } ], "verticalContentAlignment": "Center", "backgroundImage": { "verticalAlignment": "Center", "horizontalAlignment": "Center" }, "horizontalAlignment": "Center" } ] } ], "$schema": "http://adaptivecards.io/schemas/adaptive-card.json", "version": "1.3" }
[iOS][Adaptive Card] Issues with Adaptive Card rendering on iOS devices
Hi there, I've encountered some issues with Adaptive Card rendering on iOS devices, although these issues do not appear and work fine on desktop, web, and Android platforms. Issue 1: When specifying the image size within an Adaptive Card, the rendering on iOS devices is inconsistent, resulting in the appearance of an extra blank area. iOS Desktop And the card JSON is: { "type": "AdaptiveCard", "body": [ { "type": "TextBlock", "text": "I am a bot.", "wrap": true }, { "type": "Image", "url": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAEsCAYAAAAfPc2WAAAMP2lDQ1BJQ0MgUHJvZmlsZQAASImVVwdYU8kWnltSIbQAAlJCb4KIlABSQmihdwQbIQkQSoyBoGJHFhVcCyoWsKGrIgpWQOyInUWx98WCgrIuFuzKmxTQdV/53nzf3PnvP2f+c+bcmXvvAKB+gisW56AaAOSK8iWxwf6MsckpDFI3IANDQATDwQguL0/Mio4OB7AMtn8v724ARNZedZBp/bP/vxZNviCPBwASDXEaP4+XC/EBAPAqnliSDwBRxptPzRfLMKxAWwIDhHihDGcocJUMpynwHrlNfCwb4lYAyKpcriQDALXLkGcU8DKghlofxE4ivlAEgDoDYp/c3Ml8iFMhtoE2Yohl+sy0H3Qy/qaZNqTJ5WYMYcVc5IUcIMwT53Cn/5/p+N8lN0c66MMKVtVMSUisbM4wb7eyJ4fJsCrEvaK0yCiItSD+IOTL7SFGqZnSkASFPWrIy2PDnAFdiJ343IAwiA0hDhLlRIYr+bR0YRAHYrhC0GnCfE48xHoQLxTkBcYpbTZJJscqfaEN6RI2S8mf40rkfmW+HkizE1hK/deZAo5SH1MrzIxPgpgKsUWBMDESYjWIHfOy48KUNmMKM9mRgzYSaawsfguIYwWiYH+FPlaQLgmKVdqX5uYNzhfblCnkRCrxvvzM+BBFfrBWHlceP5wLdlkgYiUM6gjyxoYPzoUvCAhUzB3rFogS4pQ6H8T5/rGKsThVnBOttMfNBDnBMt4MYpe8gjjlWDwxHy5IhT6eLs6PjlfEiRdmcUOjFfHgy0A4YIMAwABSWNPAZJAFhO29jb3wTtETBLhAAjKAADgomcERSfIeEbzGgULwJ0QCkDc0zl/eKwAFkP86xCquDiBd3lsgH5ENnkKcC8JADryXykeJhrwlgieQEf7DOxdWHow3B1ZZ/7/nB9nvDAsy4UpGOuiRoT5oSQwkBhBDiEFEW9wA98G98HB49YPVGWfiHoPz+G5PeEroIDwiXCd0Em5PEhZJfooyAnRC/SBlLtJ+zAVuBTVdcX/cG6pDZVwXNwAOuAv0w8J9oWdXyLKVccuywvhJ+28z+OFpKO0oThSUMoziR7H5eaSanZrrkIos1z/mRxFr2lC+2UM9P/tn/5B9PmzDfrbEFmL7sbPYSew8dgRrBAzsONaEtWFHZXhodT2Rr65Bb7HyeLKhjvAf/gafrCyTeU61Tj1OXxR9+YJpsnc0YE8WT5cIMzLzGSz4RRAwOCKe4wiGs5OzCwCy74vi9fUmRv7dQHTbvnPz/wDA+/jAwMDh71zocQD2usPtf+g7Z8OEnw4VAM4d4kklBQoOl10I8C2hDneaPjAG5sAGzscZuAEv4AcCQSiIAvEgGUyE0WfCdS4BU8FMMA+UgDKwDKwC68BGsAXsALvBPtAIjoCT4Ay4CC6D6+AuXD1d4AXoA+/AZwRBSAgNoSP6iAliidgjzggT8UECkXAkFklGUpEMRIRIkZnIfKQMKUfWIZuRGmQvcgg5iZxHOpDbyEOkB3mNfEIxVBXVRo1QK3QkykRZaBgaj05AM9ApaCFajC5B16DV6C60AT2JXkSvo53oC7QfA5gKpouZYg4YE2NjUVgKlo5JsNlYKVaBVWN1WDN8zlexTqwX+4gTcTrOwB3gCg7BE3AePgWfjS/G1+E78Aa8Fb+KP8T78G8EGsGQYE/wJHAIYwkZhKmEEkIFYRvhIOE03EtdhHdEIlGXaE10h3sxmZhFnEFcTFxPrCeeIHYQHxP7SSSSPsme5E2KInFJ+aQS0lrSLtJx0hVSF+kDWYVsQnYmB5FTyCJyEbmCvJN8jHyF/Iz8maJBsaR4UqIofMp0ylLKVkoz5RKli/KZqkm1pnpT46lZ1HnUNdQ66mnqPeobFRUVMxUPlRgVocpclTUqe1TOqTxU+aiqpWqnylYdrypVXaK6XfWE6m3VNzQazYrmR0uh5dOW0Gpop2gPaB/U6GqOahw1vtoctUq1BrUrai/VKeqW6iz1ieqF6hXq+9UvqfdqUDSsNNgaXI3ZGpUahzRuavRr0jVHaUZp5mou1typeV6zW4ukZaUVqMXXKtbaonVK6zEdo5vT2XQefT59K/00vUubqG2tzdHO0i7T3q3drt2no6XjopOoM02nUueoTqcupmuly9HN0V2qu0/3hu6nYUbDWMMEwxYNqxt2Zdh7veF6fnoCvVK9er3rep/0GfqB+tn6y/Ub9e8b4AZ2BjEGUw02GJw26B2uPdxrOG946fB9w+8YooZ2hrGGMwy3GLYZ9hsZGwUbiY3WGp0y6jXWNfYzzjJeaXzMuMeEbuJjIjRZaXLc5DlDh8Fi5DDWMFoZfaaGpiGmUtPNpu2mn82szRLMiszqze6bU82Z5unmK81bzPssTCwiLGZa1FrcsaRYMi0zLVdbnrV8b2VtlWS1wKrRqttaz5pjXWhda33PhmbjazPFptrmmi3Rlmmbbbve9rIdaudql2lXaXfJHrV3sxfar7fvGEEY4TFCNKJ6xE0HVQeWQ4FDrcNDR13HcMcix0bHlyMtRqaMXD7y7MhvTq5OOU5bne6O0hoVOqpoVPOo1852zjznSudro2mjg0bPGd00+pWLvYvAZYPLLVe6a4TrAtcW169u7m4Stzq3HncL91T3KvebTG1mNHMx85wHwcPfY47HEY+Pnm6e+Z77PP/ycvDK9trp1T3GeoxgzNYxj73NvLnem707fRg+qT6bfDp9TX25vtW+j/zM/fh+2/yesWxZWaxdrJf+Tv4S/4P+79me7FnsEwFYQHBAaUB7oFZgQuC6wAdBZkEZQbVBfcGuwTOCT4QQQsJClofc5BhxeJwaTl+oe+is0NYw1bC4sHVhj8LtwiXhzRFoRGjEioh7kZaRosjGKBDFiVoRdT/aOnpK9OEYYkx0TGXM09hRsTNjz8bR4ybF7Yx7F+8fvzT+boJNgjShJVE9cXxiTeL7pICk8qTOsSPHzhp7MdkgWZjclEJKSUzZltI/LnDcqnFd413Hl4y/McF6wrQJ5ycaTMyZeHSS+iTupP2phNSk1J2pX7hR3GpufxonrSqtj8fmrea94PvxV/J7BN6CcsGzdO/08vTuDO+MFRk9mb6ZFZm9QrZwnfBVVkjWxqz32VHZ27MHcpJy6nPJuam5h0RaomxR62TjydMmd4jtxSXizimeU1ZN6ZOESbblIXkT8pryteGPfJvURvqL9GGBT0FlwYepiVP3T9OcJprWNt1u+qLpzwqDCn+bgc/gzWiZaTpz3syHs1izNs9GZqfNbpljPqd4Ttfc4Lk75lHnZc/7vcipqLzo7fyk+c3FRsVzix//EvxLbYlaiaTk5gKvBRsX4guFC9sXjV60dtG3Un7phTKnsoqyL4t5iy/8OurXNb8OLElf0r7UbemGZcRlomU3lvsu31GuWV5Y/nhFxIqGlYyVpSvfrpq06nyFS8XG1dTV0tWda8LXNK21WLts7Zd1meuuV/pX1lcZVi2qer+ev/7KBr8NdRuNNpZt/LRJuOnW5uDNDdVW1RVbiFsKtjzdmrj17G/M32q2GWwr2/Z1u2h7547YHa017jU1Ow13Lq1Fa6W1PbvG77q8O2B3U51D3eZ63fqyPWCPdM/zval7b+wL29eyn7m/7oDlgaqD9IOlDUjD9Ia+xszGzqbkpo5DoYdamr2aDx52PLz9iOmRyqM6R5ceox4rPjZwvPB4/wnxid6TGScft0xquXtq7KlrrTGt7afDTp87E3Tm1FnW2ePnvM8dOe95/tAF5oXGi24XG9pc2w7+7vr7wXa39oZL7peaLntcbu4Y03Hsiu+Vk1cDrp65xrl28Xrk9Y4bCTdu3Rx/s/MW/1b37Zzbr+4U3Pl8d+49wr3S+xr3Kx4YPqj+w/aP+k63zqMPAx62PYp7dPcx7/GLJ3lPvnQVP6U9rXhm8qym27n7SE9Qz+Xn4553vRC/+Nxb8qfmn1UvbV4e+Mvvr7a+sX1drySvBl4vfqP/Zvtbl7ct/dH9D97lvvv8vvSD/ocdH5kfz35K+vTs89QvpC9rvtp+bf4W9u3eQO7AgJgr4cp/BTBY0fR0AF5vB4CWDAAdns+o4xTnP3lBFGdWOQL/CSvOiPLiBkAd/H+P6YV/NzcB2LMVHr+gvvp4AKJpAMR7AHT06KE6eFaTnytlhQjPAZtivqblpoF/UxRnzh/i/rkFMlUX8HP7L3LhfH6/u+sVAAAAeGVYSWZNTQAqAAAACAAFARIAAwAAAAEAAQAAARoABQAAAAEAAABKARsABQAAAAEAAABSASgAAwAAAAEAAgAAh2kABAAAAAEAAABaAAAAAAAAAAEAAAABAAAAAQAAAAEAAqACAAQAAAABAAACWKADAAQAAAABAAABLAAAAACvAlvTAAAACXBIWXMAAAAnAAAAJwEqCZFPAAACmmlUWHRYTUw6Y29tLmFkb2JlLnhtcAAAAAAAPHg6eG1wbWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iWE1QIENvcmUgNi4wLjAiPgogICA8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPgogICAgICA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0iIgogICAgICAgICAgICB4bWxuczp0aWZmPSJodHRwOi8vbnMuYWRvYmUuY29tL3RpZmYvMS4wLyIKICAgICAgICAgICAgeG1sbnM6ZXhpZj0iaHR0cDovL25zLmFkb2JlLmNvbS9leGlmLzEuMC8iPgogICAgICAgICA8dGlmZjpZUmVzb2x1dGlvbj4xPC90aWZmOllSZXNvbHV0aW9uPgogICAgICAgICA8dGlmZjpSZXNvbHV0aW9uVW5pdD4yPC90aWZmOlJlc29sdXRpb25Vbml0PgogICAgICAgICA8dGlmZjpYUmVzb2x1dGlvbj4xPC90aWZmOlhSZXNvbHV0aW9uPgogICAgICAgICA8dGlmZjpPcmllbnRhdGlvbj4xPC90aWZmOk9yaWVudGF0aW9uPgogICAgICAgICA8ZXhpZjpQaXhlbFhEaW1lbnNpb24+NjAwPC9leGlmOlBpeGVsWERpbWVuc2lvbj4KICAgICAgICAgPGV4aWY6UGl4ZWxZRGltZW5zaW9uPjI5OTwvZXhpZjpQaXhlbFlEaW1lbnNpb24+CiAgICAgIDwvcmRmOkRlc2NyaXB0aW9uPgogICA8L3JkZjpSREY+CjwveDp4bXBtZXRhPgrkm10fAABAAElEQVR4Ae29B3heV5XvvWxZxapWs+UiyyXuJYljx+kJKQQnhJCEhGEgMDC5A4QZGMIM9/u4dy4DH/NNucxc7mVmyFACGcpDC6QSUknsOMWOk7jFce9VslxkyZLc7n/tV8eWFUmW7CMf6fVvP4/0tnP22fu39jnnf/Zee+1+0z/x1WNGggAEIAABCEAAAhCIjUD/2HIiIwhAAAIQgAAEIACBQACBRUOAAAQgAAEIQAACMRNAYMUMlOwgAAEIQAACEIAAAos2AAEIQAACEIAABGImgMCKGSjZQQACEIAABCAAAQQWbQACEIAABCAAAQjETACBFTNQsoMABCAAAQhAAAIILNoABCAAAQhAAAIQiJkAAitmoGQHAQhAAAIQgAAEEFi0AQhAAAIQgAAEIBAzAQRWzEDJDgIQgAAEIAABCCCwaAMQgAAEIAABCEAgZgIIrJiBkh0EIAABCEAAAhBAYNEGIAABCEAAAhCAQMwEEFgxAyU7CEAAAhCAAAQggMCiDUAAAhCAAAQgAIGYCSCwYgZKdhCAAAQgAAEIQACBRRuAAAQgAAEIQAACMRNAYMUMlOwgAAEIQAACEIAAAos2AAEIQAACEIAABGImgMCKGSjZQQACEIAABCAAAQQWbQACEIAABCAAAQjETACBFTNQsoMABCAAAQhAAAIILNoABCAAAQhAAAIQiJkAAitmoGQHAQhAAAIQgAAEEFi0AQhAAAIQgAAEIBAzAQRWzEDJDgIQgAAEIAABCCCwaAMQgAAEIAABCEAgZgIIrJiBkh0EIAABCEAAAhBAYNEGIAABCEAAAhCAQMwEEFgxAyU7CEAAAhCAAAQggMCiDUAAAhCAAAQgAIGYCSCwYgZKdhCAAAQgAAEIQACBRRuAAAQgAAEIQAACMRNAYMUMlOwgAAEIQAACEIAAAos2AAEIQAACEIAABGImgMCKGSjZQQACEIAABCAAAQQWbQACEIAABCAAAQjETACBFTNQsoMABCAAAQhAAAIILNoABCAAAQhAAAIQiJkAAitmoGQHAQhAAAIQgAAEEFi0AQhAAAIQgAAEIBAzAQRWzEDJDgIQgAAEIAABCCCwaAMQgAAEIAABCEAgZgIIrJiBkh0EIAABCEAAAhBAYNEGIAABCEAAAhCAQMwEEFgxAyU7CEAAAhCAAAQggMCiDUAAAhCAAAQgAIGYCSCwYgZKdhCAAAQgAAEIQACBRRuAAAQgAAEIQAACMRNAYMUMlOwgAAEIQAACEIAAAos2AAEIQAACEIAABGImgMCKGSjZQQACEIAABCAAAQQWbQACEIAABCAAAQjETACBFTNQsoMABCAAAQhAAAIILNoABCAAAQhAAAIQiJkAAitmoGQHAQhAAAIQgAAEEFi0AQhAAAIQgAAEIBAzAQRWzEDJDgIQgAAEIAABCCCwaAMQgAAEIAABCEAgZgIIrJiBkh0EIAABCEAAAhBAYNEGIAABCEAAAhCAQMwEEFgxAyU7CEAAAhCAAAQggMCiDUAAAhCAAAQgAIGYCSCwYgZKdhCAAAQgAAEIQACBRRuAAAQgAAEIQAACMRNAYMUMlOwgAAEIQAACEIAAAos2AAEIQAACEIAABGImgMCKGSjZQQACEIAABCAAAQQWbQACEIAABCAAAQjETACBFTNQsoMABCAAAQhAAAIILNoABCAAAQhAAAIQiJkAAitmoGQHAQhAAAIQgAAEEFi0AQhAAAIQgAAEIBAzAQRWzEDJDgIQgAAEIAABCCCwaAMQgAAEIAABCEAgZgIIrJiBkh0EIAABCEAAAhBAYNEGIAABCEAAAhCAQMwEEFgxAyU7CEAAAhCAAAQggMCiDUAAAhCAAAQgAIGYCSCwYgZKdhCAAAQgAAEIQACBRRuAAAQgAAEIQAACMRNAYMUMlOwgAAEIQAACEIAAAos2AAEIQAACEIAABGImgMCKGSjZQQACEIAABCAAAQQWbQACEIAABCAAAQjETACBFTNQsoMABCAAAQhAAAIILNoABCAAAQhAAAIQiJkAAitmoGQHAQhAAAIQgAAEEFi0AQhAAAIQgAAEIBAzAQRWzEDJDgIQgAAEIAABCCCwaAMQgAAEIAABCEAgZgIIrJiBkh0EIAABCEAAAhBAYNEGIAABCEAAAhCAQMwEEFgxAyU7CEAAAhCAAAQggMCiDUAAAhCAAAQgAIGYCSCwYgZKdhCAAAQgAAEIQACBRRuAAAQgAAEIQAACMRNAYMUMlOwgAAEIQAACEIAAAos2AAEIQAACEIAABGImgMCKGSjZQQACEIAABCAAAQQWbQACEIAABCAAAQjETACBFTNQsoMABCAAAQhAAAIILNoABCAAAQhAAAIQiJkAAitmoGQHAQhAAAIQgAAEEFi0AQhAAAIQgAAEIBAzAQRWzEDJDgIQgAAEIAABCCCwaAMQgAAEIAABCEAgZgIIrJiBkh0EIAABCEAAAhBAYNEGIAABCEAAAhCAQMwEEFgxAyU7CEAAAhCAAAQggMCiDUAAAhCAAAQgAIGYCSCwYgZKdhCAAAQgAAEIQACBRRuAAAQgAAEIQAACMRNAYMUMlOwgAAEIQAACEIDAABBAoDcSONaqUP1avY/7bThOdDAdqCePFUfZ+1p546hzX84De/Vl61F2CJwZAQTWmfE7J/aO9EdPVba1qPFjDejXz3IyM4LYOWrH7GDzEf2PP3meAwdkWGZGqgTNh49a45GjvVZk9bXyxm+xvpUj9upb9qK0EIibAAIrbqJplp/fJHIy+tsA/R07pk8SP7El5ddP+R2SqGlqETYZ+ry78ZBtWrnL7KiOlN3fpowqCaLLyxJX8rwGqCoLNu8x233QgoKrLLCLSvKs+ajKFdeBYsqnr5U3pmr32WywV581HQWHQGwE+k3/xFfjvG/FVjAySp6AN4xMCZ43dh9IiRBXJMdilB79dITD+huSbxcNGmiHJGy8B2l0Sb69Z2KlBFB/q29utscWr7NGbdffPQZjaq39Va+6w0fstqlVNqq8KAjHxet32FNrtltpTqYdUVl6U+pr5e1N7JIoC/ZKgjrHhEDvIkAPVu+yR68qTehNOnTE/vTC0TZ28CBr0nvvcYoreY9YduYAW7G12l7cuMsqBmbbuv0H7Y7Zk+yTd80JnWVHjh61V9d8z1bW1lth/wx1ap258PEquFbc1HTUPnTzVTZuxJBQpcqFS+1781bZiHFldkDDkr0l9bXy9hZuSZUDeyVFnuNCoHcRQGD1Lnv0mtK4jMru38821jXZh264xC6cNNqO9UCvTj8dY/7ry+zH33zIxowdaAfUg5UnoTW4dFBg4QIrS8OTh304MUY6ntch/RXm51nJoMKQc0F+jmms0lLeXzEeLIas+lp5Y6hyn84Ce/Vp81F4CMRCAIEVC8b0zCT4fktwjKgotyGlxT1WyeFDSs32NVuGxJbP43NRdUQdVX785uZD8v3qqdl9x3TME5FKMtRDZi4ivRi9MvW18vZKiGexUNjrLMLmUBDodQQQWL3OJL2jQD4Qd8SVTU6Gbdi6w4oLBtph+Sy1P0LoouiIFRXkWXFhQRhGPCqhsm1XjR1x5/UOBItnP0Cz+DZtk0P7oBw73NJD1k8KJ9onziHJiKwf14cai9UztnLDFjt6uFk/9bO1W3aaFedYs6u7XpT6Wnl7EbpEioK9EsHOQSHQ6wggsHqdSXpPgRoleMYX5NjPfzffXn1lsTUHgfVutdTPh/D2H7ArNZR463suCRU4fOSI3f+L39uhvXKQV8iF9lyn/EaUJYG1unqvTRicL0d2nzZ4dpL71g/N6m8P/PYFG5ybFUThur31Nr48Lzjan51SdP0ofa28Xa9Zem6JvdLTrtQKAt0hgMDqDq1zbFvvUMod0N+eWb/T9i/bolAN/cJwXVsMg7IG2NYV1TbuwknHf3IH9ueWb7RX1+22QXmZYYbg8R9b3njv1GH1cA3Kz7aheVmpHrO2G/XQZ++jytSQ5IKtu60pOLT3s4G5mVaWrRmEKvu7ZWQPFaSL2fa18naxWmm7GfZKW9NSMQh0mQACq8uozr0NXWS42KhUL1ZGYW6HADxY51b5SuVkZR7fxof4qorzbM+wQ1acPSC4Nh3/sc2bw/K58hANLuC6kvzmFaVoj+i76HP0e2evLiCHyrE9DENqRx/W9HKcKo/oWJ53tG1733V27NP5ra+Vt706tsepve/a27ej76L9I1u03q7tb9Fn36a97Vvve6bvu2uvqGztlavtb20/d1bWttu2/dzZvqf6LcrLt4vK3d53p8qns9+j/Lqaf9vtO8u7vd/a7h999m2jMrS3H99BoC0BBFZbInw+iYBfUA7JJ6nZOg5bEPylPNq6j/m1Sh5AtF7DigM1hBj8uVr91vqtH6MrF66QuzbMlmN6pvL04x2VOHOfrf7qjfIBRj9mV0SSH9+P6XLKy5967992nPz4vu3x4+sOerSlzn58F2oeP6tZZeiJXrC+Vt62JH0Sg88I9RhRKdul2ou+Np9N6iPEbr/usPP8IuP5vlEL9FfvofTf3S7eTtxWfmy3lfv7ua+df+dceyJ1x14eEiVDDxi+j7ehqA17Pfy3LPUk++uxlnqEyRn67HWOgvS2rUPbfSMGno/zDue19j/d1BP2bFsWP4af6/7s5bOYvW2kbJi6pvjqC63bi/Nr3Sb8XOxKcla+74BWbSZi7e3H24xn5bzjntHclfKxTd8kgMDqm3Y766X2i09H6VS/+e+dbdNRvse/185+mczRTeaQfLte98Cn1Q268+jmqu/CXVVCzrIzbHhZrg1Xr5TfPFtfeI/n1eqNl2l93UHb03w4fDtCvlhlOamhyrbl9Qtwto537NhRW7Sn3o6F6O/aKrNly6AOVMpB2TatPN8GKr5Xo5cpxtTXyutVd25+w/O4Y9UHm21ddb3ZAQXIcLv5n1fK2enm6RMdppbkWq7YHXR/P8/gFOnNvQ12xDnrJji1aGDq5qv3WbojVzc02/oddQq9ofzlb6cfU4FtZUM/1gWK2j9QZWjQ8fVr7MnL35X25YJhb9MhW9/QFIANHZilmHBZdkhiIle9wwfVPhds32tWJ25Z8mfU9mrgqo/a5JA8O78oNwgyF42tmeXK9/GA8n1rm/Y9oDYeMTik+mvDDJ0rM8TMW2kk6E4Foaft6cf3Y7g4drETbFirc/2AJqK4L6fb0JVOs/6KsmxyWb7la1jfRaaLdmew2P0+9d6vD9M0OcdxdZaUU1itwkXchrpG2+lt1PPPbGkzfjxvo0U5Nr54oJpOVniIih6uOsub385tAgisc9v+faL2fuEs0MX1NQUbPba30W65YKRdeeMwyxmYYzl5Oakn/sYm27Kr1n6wdKMtWFtj00YW63qcoRtH+2sL+kXXr5kXVBRboS6YfsepPlBvtfVNug+dfEX2C76Lu+V7D1qD/q6bPMyuvXaEFRblW1a272vWWH/QDivq/Ar5dH1/0bqQ+czhRdbsO/vF/gxTXyuvVzdw001uk5ju3C6hU1FoX7xmslWWFVpGVpbl5Ormp+2aJAIONjTY64qk/0v5+vkNdNawQuki5dAJOv/p2hGllquhaRfeW2oPBM12SIZdsF5LIA0tsv9nzgU2pLjAsnSsLAm31LHq7ZXV2+03Sza5YW12eUHoaY1TZHXHXs1qo4MlBKYMLw2rF+w+0KC22Cj9oDbv4kg9tn9+xUQbO6TEsvIGWqYL0AMHrU7t9dHlm23B8m02sWqQ5bnQkNgcoO1d0L62sVb1y7I/v3KijdG+2WHfTGtuarZ9+w7Yk29vspfe3mZjhhZYiQRdRz1hbktPPW3P1sfYpzaxatt+Mwmoe1X3CUNLLUPx8bJl64M61w83NNqq7bV2/xvrzerrbEZlkR3TedtPqz/cPLYihF9pOnTYdmjiyrFOGpHXKU/XloW76+1oTb2NHlNmX7lpvJUV5ll2vtqMjtfox9PDwVubdtiDy9U+1Zan6dzO0n7eQ3by1cJrQYJAigACi5bQqwn4U2Kmbhhvb6i1W2eOso+9d7ZNPW+klRQVhBAPGRJRLsA8HERDY6N9qHqPzVu4zL7021dskpbfyVEPgPdktU5+8/Nhkm3qGfj7O6+z8ZWpSO4vv7Hcvvj9p23S8EHq1Uj1PoWbisTVMom7aVpS56/umWNTxo3S8SWuJBI8dpbnd0gX86MKVVEnoXXnjdvt6ZeX2D//YZnNGFJgqf6x1iXo3vu+Vl6vXeAmcbVqX4MN1o3qa5+50aZOHG2VinmWm5OtISqJgAGpy4/b7vDhw/bBunr7U4UEefj5Rfadl9+RyCrSjM6Te2U8bx+y8aGaAgmKv/3ULVZamK9VBg7b3/zHQ/bGphrboh6af/74NTb7golWNazcciSCMzIGtAzzpI71Ac16/ZN1W+z7T8y3R1fusIsl/tzmcYis7tjL1/lcU11n99w5w2664qLQs7Rg8Ur78weesnckMD93+UT7wDUzbPyoEZafK1/Ilno4L29zt9Tus5fU3j/36Ks29tghdaCmxObruw7Yl288366/dLqNqxp+0r4eZ87jy926d78tXLLSPvnLuXZEvWdlEjAu9toTDD1pT7epp9S5lmFr1Gb2aBrmv9x9tV164WSrKC+2AtW9v871/uLl7eWoBLWfa3e8d4fNX7TC/vZ3i2x43gC7ckKlfeVPbgm9pgclJP/627+wjVodIk/XgbY9Tn48d194TeuRXjduiP3xR95j0xVQeWiZxKiEVYb2aX28W9Q+76mutRcXLLP//sQiqyrItnL1ep9KmIbK8e+cJIDAOifN3ncq7dporYbkPn31RPvCJ26xMZVDw/I67dWg1AqsUkFRR4+osGEVZfaR7z5hFxa375zvN9JqXajHVQ21CVXDQnbbd+zSk32TDag8cYvx3qwa9cBcrZ6Sv/vM7TZp7Egb2NJrFZXBhyUG5KX2KS8ZZFXDK2zimErLV+/a1556w2ZpyNBDUJzINdqz6699rbw+xFOjp/7J6q365mdus8niNkhx0jpLHr1/zMihsskIKy8psK+L3cWDCzRceDI75yhvJDuqN+NHDbcyiW3v7BokIbdFw4+/vu82u2rmNCsvTkXob++Yg2WnUSOGhv1LfviIPf32Fhs+KDfcLNvbvrvfddVe7mNU23BIgXwH2YTRI8Jh9uyrs/1v7bb//tfX2Z/edp3a05AO205FeYlVDi23oRWldvu/PmKz1BO1ZFe9/ctHrrYPvffScD50VPaKsmIbOWywVQwpsznf/o0VSLR4edo8j4Tde9KefoAgriR2Nu9vsBEa8vzlp95vF0waa2Wd2LCsuCic65P1wDVu9FD76LcesYrSApumz54a1Qvmi9S35yoQiasF2/bZ59RD9pkP3xhYFKqXr6Pkxxs7cpidJ8E6bcIou/U/HrcsLUxfqEk8vXGB+I7qwfdnjwAC6+yx5kjdIeBXQN1ADzY12cRhpfble26XuKoIN9K1m7fZxm3VGlY6GHLMy8vVzbLCRulm4ckvyre8Z7b9w44a+/tHXrUJGmbwRaTbSx48NUr+ZBx8PFq+SN3I5UejaPYP3D3HZkw+L9pUAUq32tqNW61eT9Hee+JP2OV68p0yrsqK8nNtpG56f3bne23N1hoNR221Yt38fbjyTFNfKa/u07a+/pB99y9usksvmHRcINRIPGzcssOq9+xXgFf1+uluni9eLoqrhg4OQzujtTbkp8Vu7ZZqe1UhQgapl8B9hE4kCVr1gO2VH1K997xIYHmvzB71XP3nZ+fYTVfNCiK4Vr1U6zdvt501e+UgfVi9EZmhN2ScRFm+hpd9CHmChPB9H3+/LfzGj4LPnAuMkw514qCn9a4ze3mG4Vjy9dmnIcGWJh+G+e64fbJ95q4bbfjgUp0DzbZa7W3Lzho7duSwZWRmSTiV2fjRlcEBvFg9eDeq9+t/79xtX/jnJ+wfPneDfewD11i5loDaq16XNWqnO3drqFE9rJnad4Ta5niJOWeYP3CgXTv7fPuezpX/8qNnbLYL2nbOlZ61Z8q5vE49yvnqRfvO5+6wS86fFMSeM2pSO9m0dWeo/0ENDXqP9QD1Hg8fXGIjJT6HSWTeeu0l9kPtv3DdtuCv6QK3TtcHzzNL9Ty59Xj4mQxbpZ7Dv75+ut37R++zUcrHk7fH9Wqfm3dUh3Pb1eaAzEwbpp7X0RLkXj4XpjdeOdOeVC/XnP/1aztfQ4XOR5uSIHASAQTWSTj40NsI+AXv8xrGc3G1Z3+9PTV/kb268G17fmONrZAfyhFd2M6X/8oNo4fY+66fbdfMmq4qHAvrGX54zhX2wz8slrhKLVLd3QugP/3u0PDCvRePt0t1wY/S/Dfftp/86jn75YZqq9XNL1zRNYx4pZymP3TZZLv7thsU0T4/XPj/5JYr7Kdf/7FdUugCK8qhZ157S3ndqX2neh2/fM0Uu+KiKWHmmw8JrtKN/rdPzJPg3CKflzqrkUBqlq1myH7Xy34fmHO5Xa4hIb+BDpOwuPv9Yvd3P7NLFCettcDy+5jf0PYK6CHdfD35DLkPXjpNgW5T4mrxyvX2zAsL7aUVm2xu9X6JryNWLp+mqwYX2XtmjLPbbrwi2MeF2dRxo+yzc2bZff/5vM3QsKQ7vZ+tFPyDxMtFVJTy5C/2hY/fFMTVVvkVPv78q/biopX23PY9tkv1GKEek+uGldiNV11gH7zustCj68Out1xzsT05d6l99P0pceUPAU88+4r9Yek6e6HmgPzcj1iVfLKuHSaBoH0/IFGSLfHgwX79geTiJxdIkBwKEwRai8yetqfX20XQmzX77Vf33X6SIN+6a7c9M/9NW/TWKpu7tdberm+UrY/ZCNXj6ooimzl5lF1/xYzQQ3rbDZfZkCWrwmxDbyDul+diUa7xJyXvjauVMJ86dJDd+8dzbJSEvScXo0+/tMhefn2Fzd1UbUvl8O6906NyMu2KYYPskmlj7X0S72N1LcrS8Pa1l5xv375jh/3Fz/5gszXE7D2tJAi0JoDAak2D972GgPuxeBqkxZhnTh0XnkZ/9PBzdt9vXrYiPYkX5mXbaD05etotofXAy7oBLdts939loM3S9n6THqnhwruvmmbffOw1G68n8/YixUfHCRm1+efhGLbsOWjXXzRRPhkDQp475PPyDz983F5btcMGa+ivQuXwm71chWy7hje+8J1nbYiGXD78vitDbpPPG2WXjixV+Rs1XPFuP5A2hzzlx95eXjeb38A2a9jr5qsuOh4bbZ8ct//Pg4/bv81dYRWaiZUnsVMlUeppl+z3g5dW2ptrd9i3/6bIJqiHydOsqePt6lFltrOuIUwyaH3T9z33SBx5DDVPPhPvVh2vUL1hb61cZ/94/2/s5yu32xD1fpXKkb1UM0y9i+EV+Wg9tGSz7daN+q8+cWvwz/IyX6denCG/fincUD1YQmeO0eGAXfzXmb08i9Dp4WKgVU/quMph6oHLtN176+x7v3jSvvbkmzZES1YVqi5FavPHJBqeX7XNHnxzo/1OzthzrpgZSuOi9Oufv8tGqLdl0/Zq+9YDD9v9C9ZahXyFhkqU+Sw87zV85p2t9sM3NtrvNWTrPV9+rgwpKbK7rphqfyMG01uJhbNhTxdw1XJG/6yc8W+8fEbo7fTjbq/ZY9/96e/s688vtaJ+muji57xP9dP2Rw4dst/Jvj/WpIhPrthoX7rnNpuiocGrZnhvqVP10BypcBd+frZOA2SU1ZqV+K3PfvC4uKo/2GgP6vryl7+er+vLUQ3vZ9loCc9j2veoeg2fXLXdfrJki/2lesi+9Gd32IjBZUFk3Xnj5fbI/KW2cV+92rTi/bVupK0PyvtzkkDqCndOVp1K9wUCPvPLnxZ//9Ibdt+PnrfpRdk2cUihlQ/MDLN/fAZQufxOJg4vtg1yjv3+Iy+qN0DT2ZX8pjtr8hjbK7+czFPd6dqBES7UmpU0pGxQ+NWdq9dt2maPv7XFJo8q1RT/jOBM6zGJ/CZRqvAQ540pth89tcCe0pPwky+8ak/PXRh+cwHmN7KeTL2hvF5Dn1k1Sr5vqzdttzfeXqM1KXfbvNeX2789s9wu1yytSvXmFWp4JV+2c/sNlv0mVxbbMxtq7DfPveY6KKRiiYfZE0faBvnA+ZT91slt4b0L3nPlKUN2KtXEg2oJ4G8+8Ji9uGaHXaLJCpUKQ5CvNpQvW/mr+1ldMqrYvvrTl2yperm8jbjMqdLw8oVjhtgu+dS0OVTIv8f+eV1DXU70fhRpONlnCj7yh9fsaw+9ZrMkeEaWKByBvnNeBbqRV5YV2JjCbPvXh+faPg1Te8pUHWdqGNuHrB987AW7/6VVdumIYhsh3nkt+xZq35GaNTkqP9Puf+ylIPzDzvp3/oQqO1h/WDMQT7A+G/b0462T4Lnjutkaah8Y7O/Lcv3k8Rft64++bheV54ZzfrDO+WBLMSiSAB2joX/vOXpEs0H/+UePSZDutzz15EXJzzfvVErVJtWovB3tVO/Vh6ePtKvlpxelZ195y/7yB8/ZNIXvmKg8XZg7a283RWqrY8R/tma2fuu5t+2nT8xVj2oq7p/7zt117QxbrVmIPmGBBIHWBOjBak2D972KgF8g/UbqT7L/8ovnbcqwAg1pZFi9hklaX8r8obFOomqcpuV/9/U19kUtHj1xdKoXZIhmICkOQ6qnI3Uv7XIdgyBSL0t/zRSMUtNBj1Xk5fKQSqmLdnQ78nL5zLZ1Nfvszn9/OPh/eMiBqbrBuQBLbR3lFP9rbymvD+cVaVjlnx6ZbxOL37ILR5TZYk2pH1/lw29HgjAKtXcggufi031lxml47pk3V9vn5DvjzsZu++ljhlnjYwssszRfwu2Ev1zYX8fx4JMhqYfDM3vu1cX201fX2uUTB9v+ptTwYWQf385jk/mNM1dC/dmFy23W9AlBUPlMw8maTfrkmu0SfFouqc2hwjF68F/U8xG1+c3qgfqnX79o06qKwwh0WAe01fHrVLchEou/W7E9+AxdMGF0YNFfPTzur/U/Hl1gF4+R/5baX1snb2ddIQH88DvyZZRv01T5DXoqLdaDhLh4oNOgSlrQ9qQ9Xczu0bl7zXlD7MJJY8K55UE931mzxb78i5dCHTweWNtz3ssbFp/X6ySJyB/OW2lzrlpqd773cv8pJGd5IvRs6jsXQRtrGuzrH5kc3Aj8290KWfGt385VKIiCMOu4XkPXfn63Tod1brt/3kwx/R+PvGa3X3eJJmOkJsdcev5EKx34fGphe+3Ugq317rw/Rwm0vk+dowiodm8n8Obba7WmYY0V52aHYb6OGm148lacqq2aDRilAg0xVipAoE+lVkzv6OsuvfZXr4gOqAtn6kbtO1XKAdsDDq7dtd9ydbH2YI4eRsLFgOfuosunfg/Wh/ESGdMkrvwmcjYuur2pvOHmpp6UlzUk97Wnl9ofNtdYvnpPPLnYdG75GrYKYke9BDkSBuX6vEK9kDtr5ZDdkio0m1BOdCGsRvRde6/9ZYMGxSv61dw31RslR23dEN0e/tc6+ecmdWuUyK/rTfmCeagD38q/H14+yA5JuIQo6a13SuD9ouWrbeWO/aGnr73QCS4AQu9bfbPtVA9hSPrO29nLCvOgMcfAzH0YvW6tk38OddzfaLv08BKlfInacvXCps6V6NvUa0/Z08+d9fJzvHraaCuR36Inr8Ozry4J71zUeE9le+d8VC8PSjtS4uhXL7xh9XoA8rbw7uQ2ToX3qNAD14zJY49vsnrDFnth1U6r8KCrOni2Hqq8jZ705w9agp6roe1mCcI331l3fH8PBXJhZamEoiZStHfo41vy5lwjQA/WuWbxPlJfv8j6Bc2fpheuWG85Gg45VVC/Y96LoQuyDxVEyYcMhskHp04hA3Rt7FbSIIDGXfrZ2s077PIZctbWzWrUsCH22/vusP/vJ0/ba5t0c9JVfrB8ijzytosF7y3wcvowjievh+93NlJvK68LKu/JOq8ktdSJ9x7V6ua0Q6K1sU49gZqdGboKXIH6jUlCyzbXy9lYkbtbUqbHytJdq0OG0V1W22/STLin1+60ifI5au0UH+UVvbo1CnTD3KGI3+4b5zGPPJXI2d4jeCd5j3Sh7o73C9/ZYAUSAu2Jq1BY/Qvx3RSdfZdmZHpy0eT7Llq10YolFlwodZSCj5nY7a1T1POWlCvH8QrZ7LDPVPSHi9B6o18tCOS47en+es0aHrzgvBGpA6n+Hkj0hSVrrKpkYHigamXiE4Vp9c4FmA/pPangsZs0+29SS7iLVpuEty5+atV7N13uBD4k7MnbwpKVG/RDvW0tG2jVHiG/k+TtRoBsvsp3h5zqnXmeZqROGTnYXlGQ4UFq70dCn2MnmfDTOUMAgXXOmLpvVtRvGKu27rIiDdtEQ3Id1STcT+TMXKMn4ihly/fEp2Tv0b3G/Zy7k9wpfrwc2R+au9huunqWlWnau8/Ue58cg6s01X3xinW2Ys1mBarcaku271NPi+LuaIjFl2zxmVlxL5VzqrL3tvK6vTKlQOsam235LkVyd49hLYVzzfASu2hoiZVpEfH+msXm0+A9oKP3PPTTzdLDLhxPfqN3x+YupGqFIjigSP/ZCjDbLB+ZjtOx0DuxXULPBVbZoNTxcjW86047LnKSSH6z9yN7uJD1GlLN14NBZ21eqILjeq2We4qSByDdqSHqArW/znR9cF3TA8FeOftHyX248j1kxKFjEg7Rtydee8yeGoL3GGhR2iE7LtbSQKUSe94D15XkvU0HdjeoR662Q4HlbOtk38FFWiKpJZadC/dtclAfeV65ggfnWX4notTL4T1qhTk5tkPM/drkAsvby3C5ItR7D1ZCbacrjNjm7BNAYJ195hyxGwR8wdVGOaWGWDanuNaGp3JdAN3JN7pZ+cXPL3qn2LXdEnkPgT+xP6pekZ/JsfXjH3hPCJaZox6PCxUE0SNk16q37E4NaXlcrrWKDD5v5WZ7/J0dulMes5lylvXbvD9hn41bdm8qr/P2df4WavkRh3/fe6bYtPGj7LyRFSHuVbFmsOVI0Lio8gjdkZ28R8t7Hf3G2t2blS9V5CL3VALJy+adZrW62R5u5WwV9uviDb3dBhPTl37Tb1YvzgAXl502XP3oPUASVb6Zt7EmDY362oVtl3tqW7SQrYRrk7aNUsoG7R/St4/bnq5FwiSFXIWKyDrhnF6zp842afhy2OB8aziF4InK7u3Gx/f2K9RClEIdow969SHCA7J3YYGCD/v24TuzDyu8y02XTAtiqSuzR72JuBh1seW2cm4lmpjgcVi8XZEgEBFAYEUkeO2VBPwC5ov5dvnC5RdtvwK2pPD2xMfo6y6/+hDN+eqR+sJv5uvOc8xuuOyCEHAwR0/XvnSJ/3k07GkTxtrei+rsZomtT8nJ+PlXl9u/zl9pUwbnhd6ssyWyekN5Hbev3bhQPkR3TRlhH7/pMi1vVCUn6qLAqy18Hwb2MAVHtQiz9wq4k/PpJBfjXR2d8SM0yZ7evo4nf9ty4z3+XQJvQpuXsOgShjbt3cNWNKtOXdpXdWt9rrhKa40jqnpP2jP0wmns3mcLR+mQQjBINabaQWcdkdEOeg31yFbwWYX86ChJy1uDRFC5ZptGfloujjoaUuwon/a+L1Oe7q/pS3CRIBARONGqo294hUAvI9CVp8pUkU9c3I6/O/7m9CrlNwCf2j1FcXG+8It59inF3Ll61iQbN2qYDVUE6RING/qMN5/d6FO2/W+cImyfP3GsTR3/hn3m53MVWkJDYbrwnnQzP73inHKv3lBen6m1RT4t/2XmWPvi3TeHiOP+tO/Jh+Sqd++xHbv3WUN9vRbSbbYD6q1pkG+WD401KR7RTZqhNaYlsvYpK9xqg+7ybWcUrFVuyb51UXM6ySl3q8l3YeOetGeop9qG92KeSPq2mwDC5jrHgl/aiYze/U4niEfwj6rtgnLT9p1aVqc59ES9e4dTf+MLTO/QZIH+ukb4gxQJAhEBBFZEgtfeSyDBp0K/ELvvift4XFSeZz9ZutEeWLzRZigkxHVjh9roqooQ2dmX0hiuwKY+9OX+Vx55/o9uviZ0qNz7sxdslmL2NPkUpR5OSZfXn+APaJhqrOI0fVFL0EzSUjSevIdhsQKAvvbGCntn7VY5BNfaIvm+HJGw0o+pG6o7/qzeaxdp2vvpCKxwoOjOGT7w70wJ9LQ9g7m0sHPrJYXCUG1Xu+BaKhiGk+WgXqSZxh0lF1P91LNap5mG3h69bt5j+qDibW1Zv80y3C/LN+pSSjU0F/UeQHi1/N7GluaGVSO6tDsbnRMEEFjnhJn7eCW7es3roWpGosUnKV6giPA+S3CLorb/zxfflg/MCk2vyrY/qiqzS6eMtlnnT7CZ0yaEXi9fk9Ajuj+3aJUt3lKjRWFP7agfRxWSLK9PcX9TQ4M/+LP3BXHlNyC/Yc5btNy+qQj4j6+rDn5D5Xrar/KhIUXn9h5CD7GRp33nj9aNz4UWqVcQ6FF76nwKPZtyDj/k/nMtKVez8hQPQb1BGvL1xtyF8z+0GG3nkfyjlJJA0SfpeGXkIVT2qxc1CCm1Oc9/vZZS+tHc1TZQD1AHJfa6nlq21ctQzVz1mYw+3N32uF3Pjy3TjQACK90sSn1iJ+ACYYCumt4B5euN+cN1ZV6OjdYsOB8S2C9/kcc0RfznWoLl/OcX2zc+dZPNufKiMN2/RDPibte6bw/9n0fs0qoS84CFPZ2SKq8f14f5hko8+QLPUdpeXWtf/+6jtkpr6c0eXqSbmmIbCabf8LzDwG9TPgzsASU9lsbA7I57IaI8ee15Aj1tT7d78IVqaD6+cLvXyhdTnqSZoB6UNjiSd6Gqh9XuFOXXSjxYakdJm5RIxNdoCSJfwzJDC0b7LMDLtVrAQ6+tVK/0IMVPO+H031E24XtdA7LVc+WCyoWgXwc8NAjiqlNq59yPPCqecyanwt0hEISVLqDViqN1SBfxlC+VTxg6GhYF9ouqL0MyWZHGZ48YZAf0dHzvvz1sGxRN3m9QnkZ7cNKWh/HuHPt0tk2yvH4x2athmolahHeY/NM8OYMlWpLm+WXbbKyWrnGB2iCR6fz85uRDNZHvlC+yPE3RyQeXSoSREidwNuwZIq2r0W5Q5PooediMK8ZU2C4Jr9bL9kS/t331B55aLVJ92ciSMOGk7e/RZ29rHvphhUJgVLfEDvMzdHzVUKurOxRmlHr7PNWfh0NplLP8vPU1tkxrKKoZB4GFuIpI8xoRQGBFJHiFQBsCHn7pjX0HbZnWGdunp9V6v5KGvpbUhtEF1S/cftF1gTBCQmvz1v22SUuQRCk48CrcQxgui77sgdfEyysgPq2+VH4wuS1xhryae/YpBlZeZhha9c8RN3/vSdpTscoG2CaFdLj1wvO0pmDB8TUGwwb8S4bAWbCnD7eXahLIa+9sksDxluDxZjPshllTbFd1vQ3U5BHv2Owo+R7+gLNq5wG787IpIRq8n4/tpdDOlN+yHXUKq9Ky2oO2nTimymaMLbNaj2OnBwJvn539ea/aJg1r/rf3XWhTtdLA65tqW4Yc2zsq353LBBBY57L1qXuHBFys7NVT6t9cf6E9psjtT33pj+zTV0+3zdUHQpT2lNSKhrdOZBN6YwYO0GK9qejgqV+0tcRXS4fWiY1jfNdbyuu9Cb6uXuubXL771GgKu08UaMvNP+dpUkC9eiD268Pt110cgrlGvVoxIiKr0yDQ0/b0obVK+eHNW7retrYs+eO2v2rWVLt+0lDbUavzTUsoRb3BUfvxqvh3BRJXNfKHnKgFrG9RMGAXRp21HRdZHs/rtSWrPIuQBpcU2uc/cJmtWFcblnByn8DoOK1f3SneV2h4c32t3XvZZPvMH99k37r3DvvHD11mR/3k9o29ACQItBBAYNEUINAOgWyJgfW1DXb1zMl287WX2iUXTrbbb7jUauWz4ZHiwxp6ehr2Key+ra+tV6C/bXsabOSQAqtsWYrDs96rxWQ9ro8/G/s1uCdSbyiv39iKxGDjngMnLXdzni+8LQfgnboROrfWf9m6mW3R+oNLtsnR+NM32XQFI00l7lQ90U66k+fZsKefDwMlsJfqwWXuomWp4unLISVF9pVPvt/WHNXCz1olwcvi55qvyuB//t6F/Iqd+2xl01H7n5++xcaOqDhlmAZfPmiMZvv97IUlKUEnYeQLhr//qll23/tn2PzV1WEI253ho3PcX/3zQfltzd+w2z46Y5Tdc9t1NmJIWVgs/PqrZ9rug4e0Jmmq96s7jNk2vQng5J7e9qV2p0nAL/wFevxYuW6zXXfx9JDL2Mqh9qu/+KDd+b0ntGae1iFUytRyJn5ZbdbwQlBPEhK/uudGLZ2R8kFyP6OXl6y2cl9LUe97KvWG8nrvQL5uRq9u32+rN25TTLCiMNQ3esRQ++G9c+yTDz4rZxkt5OyzBXTDjNYfvLSyxP7+7hvsVsW/apZ/1v76Oq3vWNhTqMi3iwTOlj0bJXomKWr7j594xa6+aJoWbi4L7eaKGZPt9/fdZT97fK7959vbwkOK9wSHJMGjaLb28cmVduf7LrEbLr1QsawO2arN22zq2JFhk/bONj8FXTAt2HXAHnr2Fbv3wzcFR/pS+X39uWK2lSoi+3+bJ6EnwRfaaejC007eRaxJLf/ve8+3j912bfCr9CbcpKCor2lxbR/qDP6ZPXiOd9FsbNaLCCCwepEx+nZRvHfmxCXNnzhPfOpezXw/39/H1MJrl3NKHTE6tveBpPbv+Ph+mCi1ehsWyh2t2FX/67HX7NrZ59tELSDr6xDerCfdPyhq85tL19j2nbtts3plXERVFck5u2yQzZg+3i7RDDrf1tPyNRvtB/OW2/Di3OM+SNHxTue1V5dXAF07VWnRx8fnvm4XTRkblsPJ6pdht19/mY0YXGpvLV9nB7WcyVEtWdJPfldDh5fbBZPGaBmd0eZLED2q/YoUuHVIyZSA51StqCMeXWV7pvuf6jhdzd/b3um1ed/R9w2nSyoPzyz1depNZ/99X/1+0rkSdR7qh7NhTw8O6iFM5m/ZYz98+Dn7/EdvtuJCj7ZuWjnhwiC4Prh2s63TouuN9alI7TkKxzC2crBNGDPSJiiwr+ug381daNtq9tp0rRrw7uS1TCXvxTpfa2J+4Tcv2/RxVXbNrGnhh9EKbvupj8yxWReOt2WrNtlerYnYrHaaq3aZJwE2RflO0vYjK8rC9l7up19+w+798XN2ga4VvooCCQKtCSCwWtPg/WkRCNdjXWx8ynOUMnXzdB+JE5e16JdOXlMZhSUy3N/Bk6/5FZ4MO9ntpJ90wLAAa8uXIWpzKquTNou+cofaKAVRJLHkv/mDqA+77a5rtP/49TOKSP5+XVjLFUIg065Rj5YLgjpFIq9X0EK/MbqfUZ6EQbmWg4nS2s3b7Tu/eMoyNbQwoL87eXeLRpRNeO0r5fWbV5lmAv7ji8tt1pTX7Wb5xbhwKszLtevVy+AR7sNSKH4zUnspVGDW4KOlWvpsw2/8+yP2zS/ddbzux20SAWj5JfrYkf2OZ9DJG78dDlD7itLxY0VfnMFrl8sXNtTSNlIIp9XmW847Fxiejrf3rjS1ln2Pl1UswmnXat+zZc+DCsngvVh/++Qi9V7m2203XG4VWhXB6+XBasePGmF79tcpIKmHUVDYFPle+WQIL7uvPbpw6Ur7mtrOZ++62jGE5L+1N2jn53aWeqTGamHrr37/UfuGKu2x6/zc9mNWXH6RzZg63hq1qoAHIvVrWZYmbfjxouSzhedpSPNzD/zOzlNIiQzl5+d3xDLajtdzmwAC69y2fyy1D9djv8DoItmkC6ALjsPqyncfCe9Z72oK+eiK6lGdD8rp2YVVk169h+iEdOs4t3B50/6+rp0veOsXZ8/HHa7bFiMcS1k16ndfLNe03IW/9wJHv/nNpUJi4Vvz3g5+InfeeJlVDh0clsfxIQX/a5v8WDWaAr5+y3b78WPz7P6Fa21muUdxl5N724278TkqU18orwuXiflZ9scPPGkP6uZ36QUTbejgEkW4HyAB+u6hP4+T5T193/7187pR7gr2PqSeA69zk8I+BJtEAFqYRR8743EqvC6tju8v64SFjxUyQCY84xRlcTz/dtqXHyRsd5ptPuyrc8R7WaLzpcHPF2/vamwnWvK7qxMdt0nnSqNs5G0zda74fiens2FPP6JOEZsqsXLvT1+wvfLjm3PNTK2OUGbFRYUhGG2ZlqVqnfarN2v7rhp7c8U6+8ffzrO3VlTbfVooPEp+LnpstdQ3XquUVfydi6ESDee/U1Nn937nt/Zfb73cZitI8JCykrD0VRBTrQRVlOduxdDaXr07DAve89A8G6H8B2nW7Jme31H+vKYXAQRWetkzkdq4/0GVFkRe9M4GK8x9RTcorSkngVNT32i56gXyC3RX0hFd9KoGZtnKTTvs4WdeDk+FDfJt2q0YVO5keqp8fJr3SM1IWrZuqz387MvhorxXF+E6TanOlHCK9tc1MQx9jFRQy2deftPWrN+kG1J/W6QLddWQ/JOWuzikMl1Ulmd//8xim7tqq90+c4JNPG+4hjAKLUcX8yz5c/hTsj9FNzY1We2effb26s32n6+usGU762xmRcEZX3z7Wnl9ZphPnR9+pNk+cv/j9teXr7GLzx9nw7WcUHZOjtZtHJASwY2NIYTDIg23fuuVd+ygfGgqp5fbC68vs9p9+0OTWSqWI8MSJKmbo3/ZHR7ttTvfX77TVqE28dRLb9iKwR6csp+9snS1VZXmyV5nFgy2O+U7kzbvwVq9vb+tZV5S7d0XO26wem/vEm1Re2+PQThXCnNsyepNYV/vPavdr7Uh5QPnPcCth2Z72p5R+VwU5mvG4KUVhfaVRxbYc8vW2xyF7ZgwdkQYMsyQQHc7HWpuCmsHrt2yy15V23lQAX6nagjeynMtL0fL3bQkF7e7dR0q0pB1iLcV/aBXF1nu+1WlB6iNBxrt7n9/wv5s9jt20eQxNk7LX+Xman1R9bx671WD1in0SPP19Q22XO3xhWXr7JHl22x0ycAQkqSph2cItyo2b/sYgX7TP/HVE1euPlZ4its7CHgD8gv0Tomh7fu0DIVfvfR5im6MHlemOw3Me63qJFbW7kn5WnQ3H99/ry6qG/a27K8bzdSSvNCb1ZaW93C9tV/lVQgBHxMcIEf0qXoaDT0ArTfWdj5raaXy3Of56qY2pjjPxkhUDtJF2IdC9+givKHuoK2pkXNs/SErLRtoY+UU60ELHUccqS+V122epRu1B2ddslNiSYUfVlpgE8WtVDfBA7LxSgVpXKc/O9Bso7VMSZnEtU8EWFbfZEf0XWg46gm7QEsRvcsmyr/LPDqA73ZZ7O1V7cWPNUj2H6UytHesDrLo9Ouulu9M2vy72rtEY2jvnZYs9aPvu1uidvPelnNWbXyafJPaa69nw54eh2pXg3qUNSNvpNqD967trNH5VqCI6zrnJqkd9Ffpluo8O6ZtNN3PG1nwfxqkOHMvrNxlc//pHruyxadq0dvqPf7y/RJsBVavdtjehcjr5a4ARzUU+IY7tjdJXEusTZNP5QgdL1/hVrZrOHC9Zg5vlRAzXS+y9b1z8n5x97tqj1cX8LPJOUAAgXUOGPlsVfHkC40/A5/8TXfKEe3p8ux0LmHR/n5V7awcJ7ZLlc4vuO2l6ELsN806XYT3aPbQ/mYFF/ULt1KubmyF6pkp0RN4vmLl+E3ae/ba5t9e3t35rm1+vb68uom7OG3UzbJaN9D96iE5INHp4RmKxalYvYju4Ow3Ku8p8fp1tY7OrTvbtsdZxTvpxtsRz/b27cp33SlftO3ptPlo31O19/bK3J19/WGiJ+zp59UAiZnJLsKHl9rirYqSvrnGiiWsaiSmfNmcerUbT/mKY5Ut8V6ktuN+fN6T5/11Gxvki/Uvn7fRwweH7R59/jW79f//uV02uiQsQB6+7Oifjp8jf8xjaoe71QO4L7RTuTwo7wL5ahXKP83jtRVr5qKf1S7+SBA4FQGGCE9FiN+7RyDcsVp2OZO7VUs+IYvTyaer5Qh3l9QtprMZh76F+1l48gVwh2Vm24g8fRsdR4JK+iD4e7nDrm+fyjXsEt+/kGkq575QXi+j3xy9t6RCPi/DnJf/teLlv3uNUrVqQdWKa6fwwk6pPTvj0XkeZ7h/Z5l3p3wtdT6tNh/x8rJ093zpxr6x21N83BfOg/r+00evtcmjhlup/PTWbtpml3/5ezZjRIZ571Te4QwrT5kpnGNex2b9Zaod5Wb2s/kra+0bd1+l2FSlwRrN6iF9/o13bFhRF8OjKK/ovC3SQ1KxjpkyneSujpH6S61F6nhbihKOxT8IdEQAgdURGb7vNgG/8AQHmW7v+e4dTvtm2ZJVV/fXtVMp/Ht3Idp8E11U3XnWxVRrPxXfNPo9em2zeywf+1p5Iy5uj8NtmEWcotcIUMokXbNJd3hE+bd+PdP9W+fV3vvu5N/VNtv+cbrGK4593V5x2dPzCkFytSxOpcTR5PNGhiKWaALJNz92tf3VT+faYC2zVJov3z31EvsyNS7I3KfK/SN3aDh+p4bt77n8PPvYzVeFWceewQqFdfi2/PpmyGneh6m7kqJ26JNqfIpFRDT6Psqj7efoe14h0JYAAqstET5DoIsE+tqFtjeUtzeUoYvmZbMuEDhTe7oAlU6yKg33/eaZV0Mkf58EMUBDf5+49VorkrP5swvetl9sqPF4DMFXMjzE+ZiiJpi8p2KQffmGGXbT9ZdYlWb4etqrOGs/euwFq9RkG/fZOiGVulChVpucad1aZcXbc5QAPljnqOGpNgQgAIHeQsDXqXxdi30/8pd32M3XzAqTZrxsDY1NYbhw/ZYdVq3wJ/sPHAwhYAYO1BB9+SAbpjAO540cbiUK/uupruGg/fLJeXbPD562i4cVhkXYww/8g0ACBBBYCUDnkBCAAAQgcIKAD/3VazZnY8YA+96nP2Czp0+wIkVrb508XIIvh+ND9FlyOC9UYN/WyReLfmb+G2FJpuma4evBW31bEgSSIpAx5IJr/japg3NcCEAAAhCAgPs0euy0vQ1N9p0F79jojKOWpVmmwbNRTvhZ+s1XdRioiOq5CvPhMapcO+1T3K+aPXvtrXfW269/P9/u+/k8m1SsGFaaiHJYGzDMR9tKkgA+WEnS59gQgAAEIBCEkM/SHS5n9tzGZvv0fzxlV09cbHOmj7ahw8qtsrzYBnqUdve9knA6qm19map1W3fZ5i077e8WrjFFNrYZlQoaK0F2iPhUtKpeQIAhwl5gBIoAAQhAAAKp+bwehd4DFy/d22CNuxs8LoqCVPlfpgL7KsacJgXWyTdL0wPlpOVBYo/a2CEFVqYgwR6d/UxmY2IDCMRJgB6sOGmSFwQgAAEInDYBH9LzgLNa0VTrEmolCK3C4OtS1ilOlvdwHVF8K+/uKpPYylYQ0sJyLQav8A2+XE0UT+20D86OEIiZAAIrZqBkBwEIQAACZ07ABZWvXONxUD2Ker7CMkQp8l0PPVa+jX7wPxIEehMBBFZvsgZlgQAEIACBQOC4YJIzuwf+PB75sw2f49u1+Z6PEEiaQP+kC8DxIQABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAgYAfAAAAB/BJREFUQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE0BgJW4CCgABCEAAAhCAQLoRQGClm0WpDwQgAAEIQAACiRNAYCVuAgoAAQhAAAIQgEC6EUBgpZtFqQ8EIAABCEAAAokTQGAlbgIKAAEIQAACEIBAuhFAYKWbRakPBCAAAQhAAAKJE/i/z497MyAUwwsAAAAASUVORK5CYII=", "width": "600px", "height": "300px" }, { "type": "ColumnSet", "columns": [ { "type": "Column", "width": "stretch", "items": [] }, { "type": "Column", "items": [ { "type": "TextBlock", "text": "Test Bot", "wrap": true, "isSubtle": true, "size": "Small", "weight": "Lighter" } ], "width": "auto", "verticalContentAlignment": "Center" } ] } ], "$schema": "http://adaptivecards.io/schemas/adaptive-card.json", "version": "1.6", "msTeams": { "width": "full" } } Issue 2: The Teams iOS client fails to properly render bold text in markdown when a single TextBlock contains both mention formatting and markdown elements. iOS Desktop Card JSON: { "type": "AdaptiveCard", "msteams": { "entities": [ { "type": "mention", "text": "<at>Zhongfang Zhou</at>", "mentioned": { "id": "29:1hRSk6kciBChF7eND3vFcDpybc1u0u-j4I9sCMr0j9WiD7a7XMGhYtOvCSZZxXQst83aOR_gimo5uEQPDOgP9vQ", "name": "Zhongfang Zhou" } } ] }, "body": [ { "type": "TextBlock", "text": "<at>Zhongfang Zhou</at> Hi, this is the **answer**.", "wrap": true }, { "type": "ColumnSet", "columns": [ { "type": "Column", "width": "stretch", "items": [] }, { "type": "Column", "items": [ { "type": "TextBlock", "text": "Test Bot", "wrap": true, "isSubtle": true, "size": "Small", "weight": "Lighter" } ], "width": "auto", "verticalContentAlignment": "Center" } ] } ], "$schema": "http://adaptivecards.io/schemas/adaptive-card.json", "version": "1.6", "msTeams": { "width": "full" } } Issue3: The Teams iOS client incorrectly renders all markdown text as bold when there are two TextBlocks, one containing mention formatting and the other containing markdown text. iOS Desktop Card JSON: { "type": "AdaptiveCard", "msteams": { "entities": [ { "type": "mention", "text": "<at>Zhongfang Zhou</at>", "mentioned": { "id": "29:1hRSk6kciBChF7eND3vFcDpybc1u0u-j4I9sCMr0j9WiD7a7XMGhYtOvCSZZxXQst83aOR_gimo5uEQPDOgP9vQ", "name": "Zhongfang Zhou" } } ] }, "body": [ { "type": "TextBlock", "text": "<at>Zhongfang Zhou</at>", "wrap": true }, { "type": "TextBlock", "text": "Hi, this is the **answer**.", "wrap": true }, { "type": "ColumnSet", "columns": [ { "type": "Column", "width": "stretch", "items": [] }, { "type": "Column", "items": [ { "type": "TextBlock", "text": "Test Bot", "wrap": true, "isSubtle": true, "size": "Small", "weight": "Lighter" } ], "width": "auto", "verticalContentAlignment": "Center" } ] } ], "$schema": "http://adaptivecards.io/schemas/adaptive-card.json", "version": "1.6", "msTeams": { "width": "full" } }
What device was the Teams user last active on?
Hello dear community. We in development were given the challenge within the company to ask on which device (whether on a PC or mobile/smartphone) a Teams user is/was currently/most recently active. Background information: There is an upstream routing software that distributes incoming calls to Teams users via PSTN. Now the routing should be different for users when they are not in the office and are on the go and use MS Teams. We have already looked at the Graph API endpoints such as: ownDevices managed devices Registrated user But everything wasn't productive. We have no clue in the data returned by them that we can use to determine which device a user had or found the last conversation on. On which this is active. We are grateful for every approach. Developer know-how is available and we can also take one or two detours Thanks VG NikoPotential Vulnerability: Access to Devices on Network via Teams
Hi. Not sure if this is the right place for this. Does anyone know / have come across, a vulnerability that follows this user journey: 1. Meeting Request Sent to victim via third party 2. Meeting commences 3. Third party accesses victim device (that meeting is taking place on) + devices connected to the network + has ability to modify, delete, add files on network connected devices + schedule events to take place on devices connected to the network. When experienced the victim witnesses and major increase in CPU and Memory Useage + activity in applications managed at the enterprise level (Adobe Creative Cloud, N-Able, Citrix). Connected to the attack, the victim also notices otherwise non-malicious scripts launching from PDF and Image documetns that the Third Party had sent in the lead up.
When Navigating Away and Returning to My Teams Static Tab Extension, It Reloads—How to stop reload?
I have developed a static tab extension for Microsoft Teams using ReactJS. The tab functions as expected; however, when I navigate to other Teams features such as Chat or Calendar and then return to my tab, it reloads from the beginning. This results in a poor user experience since the tab does not retain its previous state or position. I want my static tab to behave like the native Teams tabs, where it retains its state and loads instantly when navigated back to. How can I achieve this in a ReactJS-based Teams tab? Are there any specific ways or methods to achieve native behavior? Additionally, are there any changes in the manifest that could fix this reload issue? Any guidance or recommendations on how to effectively implement state persistence to achieve a seamless user experience would be greatly appreciated. Thank you in advance for your assistance.Retrieve Teams Rooms (MTRoA) device "Pairing status" via Graph API
We have an issue where the main MTRoA device and the touch console (peripheral device) become disconnected. Then after a while they sometimes reconnect. In the admin portal a "Pairing status" is reported on the touch panel devices. When they disconnect this is reflected in the portal via this status message. What I want to do is get this information out of the Graph API so we can report on it. I just don't know how this is represented in the API, if at all. I don't see it in the PowerShell module Microsoft.Graph.Beta.Teams. Does anyone know if this data is exposed anywhere in the "teamwork" API?
