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Tweet-NutritionAnalyzer.json
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{
"id": "62e4183b.38fef8",
"type": "tab",
"label": "Twitter Food Analysis",
"disabled": false,
"info": ""
},
{
"id": "40ee7d2c.314894",
"type": "function",
"z": "62e4183b.38fef8",
"name": "Extract Twitter Image URL",
"func": "msg.payload = \"\";\nif (typeof msg.tweet.entities.media !== 'undefined') {\n if (typeof msg.tweet.entities.media[0].media_url !== 'undefined') {\n msg.payload = msg.tweet.entities.media[0].media_url;\n } \n}\n\nif (typeof msg.tweet.extended_tweet !== 'undefined') {\n if (typeof msg.tweet.extended_tweet.entities.media !== 'undefined') {\n if (typeof msg.tweet.extended_tweet.entities.media[0].media_url !== 'undefined') {\n msg.payload = msg.tweet.extended_tweet.entities.media[0].media_url;\n } \n }\n}\n\nif(typeof msg.tweet.retweeted_status !== 'undefined') {\n if( typeof msg.tweet.retweeted_status.extended_tweet !== 'undefined') {\n if( typeof msg.tweet.retweeted_status.extended_tweet.entities !== 'undefined') {\n if( typeof msg.tweet.retweeted_status.extended_tweet.entities.media[0].media_url !== 'undefined') {\n msg.payload = msg.tweet.retweeted_status.extended_tweet.entities.media[0].media_url;\n }\n }\n }\n}\n// Include the pre-trained food model classifier and any other custom classifier you might have built\nmsg.params = {};\nmsg.params[\"classifier_ids\"]=\"food\";\n//msg.params[\"classifier_ids\"]=\"default,food\";\n\nif( msg.payload.length ) {\n return [ msg, null ];\n} else {\n return [ null, msg ];\n}",
"outputs": "2",
"noerr": 0,
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"id": "8a76a72b.2b1148",
"type": "debug",
"z": "62e4183b.38fef8",
"name": "Image URL to analyze",
"active": true,
"console": "false",
"complete": "payload",
"x": 660,
"y": 100,
"wires": []
},
{
"id": "a0365dcc.3b9238",
"type": "debug",
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"name": "",
"active": true,
"console": "false",
"complete": "result",
"x": 850,
"y": 140,
"wires": []
},
{
"id": "3cb0be1f.ebce1a",
"type": "visual-recognition-v3",
"z": "62e4183b.38fef8",
"name": "",
"apikey": "",
"image-feature": "classifyImage",
"lang": "en",
"x": 650,
"y": 180,
"wires": [
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},
{
"id": "b2f4b48e.72d1b8",
"type": "twitter in",
"z": "62e4183b.38fef8",
"twitter": "",
"tags": "",
"user": "false",
"name": "",
"topic": "tweets",
"inputs": 1,
"x": 170,
"y": 60,
"wires": [
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},
{
"id": "8503b267.81d728",
"type": "debug",
"z": "62e4183b.38fef8",
"name": "",
"active": true,
"console": "false",
"complete": "tweet",
"x": 364.28576278686523,
"y": 104.28573417663574,
"wires": []
},
{
"id": "9ad5991e.e8f788",
"type": "change",
"z": "62e4183b.38fef8",
"name": "",
"rules": [
{
"t": "set",
"p": "tweet",
"pt": "msg",
"to": "payload",
"tot": "msg"
}
],
"action": "",
"property": "",
"from": "",
"to": "",
"reg": false,
"x": 240,
"y": 240,
"wires": [
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]
},
{
"id": "c70d1fcd.ac204",
"type": "comment",
"z": "62e4183b.38fef8",
"name": "Sample Grilled Salmon Tweet",
"info": "",
"x": 160,
"y": 280,
"wires": []
},
{
"id": "9ceadf52.ae0268",
"type": "function",
"z": "62e4183b.38fef8",
"name": "Process Results",
"func": "if (typeof msg.result == 'undefined') {\n return null;\n}\n\n// Text Extraction\nif (typeof msg.result.images[0].text != 'undefined') {\n var image_text = msg.result.images[0].text;\n msg.payload = image_text;\n msg.template = image_text;\n if( image_text.length >0 ) {\n msg.template= \"Watson found the words: \"+image_text;\n }\n return msg;\n}\n\nvar bestcolor = -1;\nvar colorscore = 0;\nvar c_id = 0;\nvar say = \"\";\nvar item;\n\nfor ( c_id=0; c_id < (msg.result.images[0].classifiers.length); c_id++ ){\n // find the best color, if any\n for( i =0; i<(msg.result.images[0].classifiers[c_id].classes.length); i++ ){\n var object = msg.result.images[0].classifiers[c_id].classes[i].class;\n if ( object.includes(\"color\") ) {\n if( msg.result.images[0].classifiers[c_id].classes[i].score > colorscore){\n bestcolor = i;\n colorscore = msg.result.images[0].classifiers[c_id].classes[i].score;\n }\n }\n }\n \n var bestItem = 0;\n var itemScore = 0;\n for( i =0; i<(msg.result.images[0].classifiers[c_id].classes.length); i++ ){\n var object = msg.result.images[0].classifiers[c_id].classes[i].class;\n if ( !object.includes(\"color\") ) {\n if( msg.result.images[0].classifiers[c_id].classes[i].score > itemScore){\n bestItem = i;\n itemScore = msg.result.images[0].classifiers[c_id].classes[i].score;\n }\n }\n }\n \n if( bestcolor != \"-1\") {\n // found a color\n item = msg.result.images[0].classifiers[c_id].classes[bestcolor].class + \" \" + msg.result.images[0].classifiers[c_id].classes[bestItem].class;\n bestcolor = -1;\n } else {\n item = msg.result.images[0].classifiers[c_id].classes[bestItem].class;\n }\n// say = say + \" Watson's \" + msg.result.images[0].classifiers[c_id].name + \" classifier thinks this picture contains a \" + item +\".\";\n //say = say + \" Watson thinks this picture contains \" + item +\".\";\n say = say + \" Watson thinks this picture contains \" + msg.result.images[0].classifiers[0].classes[0].class +\".\";\n}\nmsg.payload = say;\n// msg.food = msg.result.images[0].classifiers[0];\n\nvar picInfo = msg.result.images[0].classifiers[0].classes;\nvar arrayLength = picInfo.length;\n\nmsg.template=\"<style>\";\nmsg.template=msg.template+\"table { width: 440px; margin-top: 10px; }\";\nmsg.template=msg.template+\"tr:nth-child(even){background-color: #f2f2f2;}\";\nmsg.template=msg.template+\"th, td { padding: 8px; text-align: left; border-bottom: 1px solid #ddd; width: 10%;}\";\nmsg.template=msg.template+\"</style>\";\n\nmsg.template=msg.template+\"<h2>\"+say+\"</h2><table span=100%><tr><th>Class</th><th>Confidence</th></tr>\";\nfor (var i = 0; i < arrayLength; i++) {\n msg.template = msg.template + \"<tr><td>\" + picInfo[i].class + \"</td><td>\" + picInfo[i].score + \"</td></tr>\";\n}\nmsg.template = msg.template + \"</table>\";\n\n\nreturn msg;",
"outputs": 1,
"noerr": 0,
"x": 860,
"y": 180,
"wires": [
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},
{
"id": "ef29b5e5.656b8",
"type": "debug",
"z": "62e4183b.38fef8",
"name": "What did Watson find?",
"active": true,
"console": "false",
"complete": "payload",
"x": 1100,
"y": 140,
"wires": []
},
{
"id": "8a1b9a29.6220f8",
"type": "change",
"z": "62e4183b.38fef8",
"name": "",
"rules": [
{
"t": "set",
"p": "payload",
"pt": "msg",
"to": "tweet.user.screen_name",
"tot": "msg"
}
],
"action": "",
"property": "",
"from": "",
"to": "",
"reg": false,
"x": 580,
"y": 20,
"wires": [
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]
]
},
{
"id": "a9dce61c.ad5c18",
"type": "inject",
"z": "62e4183b.38fef8",
"name": "",
"topic": "",
"payload": "{\"created_at\":\"Sun Oct 15 13:31:53 +0000 2017\",\"id\":919556434886524900,\"id_str\":\"919556434886524933\",\"text\":\"Again, with a different one\\n#healthhackathonfood https://t.co/vYOxEezgMY\",\"display_text_range\":[0,48],\"source\":\"<a href=\\\"http://twitter.com\\\" rel=\\\"nofollow\\\">Twitter Web Client</a>\",\"truncated\":false,\"in_reply_to_status_id\":null,\"in_reply_to_status_id_str\":null,\"in_reply_to_user_id\":null,\"in_reply_to_user_id_str\":null,\"in_reply_to_screen_name\":null,\"user\":{\"id\":919361554239369200,\"id_str\":\"919361554239369216\",\"name\":\"SPtest\",\"screen_name\":\"s_ptest\",\"location\":null,\"url\":null,\"description\":null,\"translator_type\":\"none\",\"protected\":false,\"verified\":false,\"followers_count\":0,\"friends_count\":0,\"listed_count\":0,\"favourites_count\":0,\"statuses_count\":17,\"created_at\":\"Sun Oct 15 00:37:30 +0000 2017\",\"utc_offset\":null,\"time_zone\":null,\"geo_enabled\":false,\"lang\":\"en\",\"contributors_enabled\":false,\"is_translator\":false,\"profile_background_color\":\"F5F8FA\",\"profile_background_image_url\":\"\",\"profile_background_image_url_https\":\"\",\"profile_background_tile\":false,\"profile_link_color\":\"1DA1F2\",\"profile_sidebar_border_color\":\"C0DEED\",\"profile_sidebar_fill_color\":\"DDEEF6\",\"profile_text_color\":\"333333\",\"profile_use_background_image\":true,\"profile_image_url\":\"http://abs.twimg.com/sticky/default_profile_images/default_profile_normal.png\",\"profile_image_url_https\":\"https://abs.twimg.com/sticky/default_profile_images/default_profile_normal.png\",\"default_profile\":true,\"default_profile_image\":false,\"following\":null,\"follow_request_sent\":null,\"notifications\":null},\"geo\":null,\"coordinates\":null,\"place\":null,\"contributors\":null,\"is_quote_status\":false,\"quote_count\":0,\"reply_count\":0,\"retweet_count\":0,\"favorite_count\":0,\"entities\":{\"hashtags\":[{\"text\":\"healthhackathonfood\",\"indices\":[28,48]}],\"urls\":[],\"user_mentions\":[],\"symbols\":[],\"media\":[{\"id\":919556428821442600,\"id_str\":\"919556428821442560\",\"indices\":[49,72],\"media_url\":\"http://pbs.twimg.com/media/DMLrszLUMAA75Sb.jpg\",\"media_url_https\":\"https://pbs.twimg.com/media/DMLrszLUMAA75Sb.jpg\",\"url\":\"https://t.co/vYOxEezgMY\",\"display_url\":\"pic.twitter.com/vYOxEezgMY\",\"expanded_url\":\"https://twitter.com/s_ptest/status/919556434886524933/photo/1\",\"type\":\"photo\",\"sizes\":{\"medium\":{\"w\":720,\"h\":480,\"resize\":\"fit\"},\"large\":{\"w\":720,\"h\":480,\"resize\":\"fit\"},\"thumb\":{\"w\":150,\"h\":150,\"resize\":\"crop\"},\"small\":{\"w\":680,\"h\":453,\"resize\":\"fit\"}}}]},\"extended_entities\":{\"media\":[{\"id\":919556428821442600,\"id_str\":\"919556428821442560\",\"indices\":[49,72],\"media_url\":\"http://pbs.twimg.com/media/DMLrszLUMAA75Sb.jpg\",\"media_url_https\":\"https://pbs.twimg.com/media/DMLrszLUMAA75Sb.jpg\",\"url\":\"https://t.co/vYOxEezgMY\",\"display_url\":\"pic.twitter.com/vYOxEezgMY\",\"expanded_url\":\"https://twitter.com/s_ptest/status/919556434886524933/photo/1\",\"type\":\"photo\",\"sizes\":{\"medium\":{\"w\":720,\"h\":480,\"resize\":\"fit\"},\"large\":{\"w\":720,\"h\":480,\"resize\":\"fit\"},\"thumb\":{\"w\":150,\"h\":150,\"resize\":\"crop\"},\"small\":{\"w\":680,\"h\":453,\"resize\":\"fit\"}}}]},\"favorited\":false,\"retweeted\":false,\"possibly_sensitive\":false,\"filter_level\":\"low\",\"lang\":\"en\",\"timestamp_ms\":\"1508074313266\"}",
"payloadType": "json",
"repeat": "",
"crontab": "",
"once": false,
"x": 90,
"y": 240,
"wires": [
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"type": "ui_text",
"z": "62e4183b.38fef8",
"group": "331b94d7.f51244",
"order": 1,
"width": 0,
"height": 0,
"name": "Tweet Username",
"label": "Username: ",
"format": "{{msg.payload}}",
"layout": "row-left",
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"width": "9",
"height": "9",
"format": "<div ng-bind-html></div>\n<img width=\"300\" height=\"300\" alt=\"Twitter Image\" src=\"{{msg.payload}}\"/>",
"storeOutMessages": false,
"fwdInMessages": false,
"templateScope": "local",
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},
{
"t": "cont",
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