A small tool to view real-world ActivityPub objects as JSON! Enter a URL
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{
"@context": [
"https://www.w3.org/ns/activitystreams",
"https://brettiverse.com/schemas/litepub-0.1.jsonld",
{
"@language": "und"
}
],
"actor": "https://brettiverse.com/users/brett",
"attachment": [
{
"mediaType": "image/jpeg",
"name": "Partially built display, ouroboros from The Invisible Man (2000) lit up red and green",
"type": "Document",
"url": "https://brettiverse.com/media/a972dc79c451c4508a94f2f6afae4f961c8aad879d0d2f4c70010538b2ae3aa6.jpg"
}
],
"attributedTo": "https://brettiverse.com/users/brett",
"cc": [
"https://brettiverse.com/users/brett/followers"
],
"content": "Part 2 of my mental health tracker project: software.<br><br>Since the data I want to read and interpret is coming from my home automation (read: Node-RED), that's where most of the logic for the tracker is.<br><br>At the moment it logs sleep length, alarm -> wakeup time, time taken to get in the shower in the mornings, and time taken to get out of the shower in the mornings, all of which I have noticed tend to correlate to how well I'm doing. I also want to include my bedtime and the time I first manage to leave the house.<br><br>By comparing the last week's average of each of these to long term data, it's my hope that I'll be able to display an accurate picture of my mental health as it fluctuates.<br><br><a class=\"hashtag\" data-tag=\"maker\" href=\"https://brettiverse.com/tag/maker\" rel=\"tag ugc\">#maker</a> <a class=\"hashtag\" data-tag=\"projects\" href=\"https://brettiverse.com/tag/projects\" rel=\"tag ugc\">#projects</a> <a class=\"hashtag\" data-tag=\"wled\" href=\"https://brettiverse.com/tag/wled\" rel=\"tag ugc\">#wled</a> <a class=\"hashtag\" data-tag=\"esp8266\" href=\"https://brettiverse.com/tag/esp8266\" rel=\"tag ugc\">#esp8266</a> <a class=\"hashtag\" data-tag=\"lasercutting\" href=\"https://brettiverse.com/tag/lasercutting\" rel=\"tag ugc\">#lasercutting</a> <a class=\"hashtag\" data-tag=\"homeautomation\" href=\"https://brettiverse.com/tag/homeautomation\" rel=\"tag ugc\">#homeautomation</a>",
"context": "https://brettiverse.com/contexts/c551a2d2-bd70-480a-b48d-93cbb92b16e3",
"conversation": "https://brettiverse.com/contexts/c551a2d2-bd70-480a-b48d-93cbb92b16e3",
"id": "https://brettiverse.com/objects/2d82a585-2e22-4e63-bf88-04dd98c0e912",
"published": "2023-07-21T23:55:54.563976Z",
"replies": {
"items": [
"https://brettiverse.com/objects/8c6fa63c-6b98-48df-af12-420918a3dc5e"
],
"type": "Collection"
},
"repliesCount": 4,
"sensitive": false,
"source": {
"content": "Part 2 of my mental health tracker project: software.\n\nSince the data I want to read and interpret is coming from my home automation (read: Node-RED), that's where most of the logic for the tracker is.\n\nAt the moment it logs sleep length, alarm -> wakeup time, time taken to get in the shower in the mornings, and time taken to get out of the shower in the mornings, all of which I have noticed tend to correlate to how well I'm doing. I also want to include my bedtime and the time I first manage to leave the house.\n\nBy comparing the last week's average of each of these to long term data, it's my hope that I'll be able to display an accurate picture of my mental health as it fluctuates.\n\n#maker #projects #wled #esp8266 #lasercutting #homeautomation",
"mediaType": "text/plain"
},
"summary": "",
"tag": [
{
"href": "https://brettiverse.com/tags/esp8266",
"name": "#esp8266",
"type": "Hashtag"
},
{
"href": "https://brettiverse.com/tags/homeautomation",
"name": "#homeautomation",
"type": "Hashtag"
},
{
"href": "https://brettiverse.com/tags/lasercutting",
"name": "#lasercutting",
"type": "Hashtag"
},
{
"href": "https://brettiverse.com/tags/maker",
"name": "#maker",
"type": "Hashtag"
},
{
"href": "https://brettiverse.com/tags/projects",
"name": "#projects",
"type": "Hashtag"
},
{
"href": "https://brettiverse.com/tags/wled",
"name": "#wled",
"type": "Hashtag"
}
],
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"type": "Note"
}