{"info":{"_postman_id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","name":"Api Qampo EN","description":"<html><head></head><body><p>REST API designed to access the information generated by the Qampo platform.</p>\n<h2 id=\"base-url\">Base URL</h2>\n<p><code>https://api.qampo.es/apiv2/api/</code></p>\n<h1 id=\"authentication\">Authentication</h1>\n<p>Every request sent to Api Qampo requires an apikey. This apikey must be included in the header request.</p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th><strong>Key</strong></th>\n<th><strong>Value</strong></th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>apikey</td>\n<td>****a6dF</td>\n</tr>\n</tbody>\n</table>\n</div><h1 id=\"error-codes\">Error codes</h1>\n<p>The error message has JSON format with the next fields:</p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th><strong><code>code</code></strong></th>\n<th><strong><code>status</code></strong></th>\n<th><strong><code>msg</code></strong></th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>HTTP error code</td>\n<td>HTTP status</td>\n<td>Failure description in the request</td>\n</tr>\n</tbody>\n</table>\n</div><h2 id=\"error-example\">Error example</h2>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">{\n    \"code\": 400,\n    \"status\": \"Bad Request\",\n    \"msg\": \"Error due to: Required request header 'apikey' for method parameter type String is not present\"\n}\n\n</code></pre>\n<hr>\n<h1 id=\"endpoints\">Endpoints</h1>\n</body></html>","schema":"https://schema.getpostman.com/json/collection/v2.0.0/collection.json","toc":[{"content":"Authentication","slug":"authentication"},{"content":"Error codes","slug":"error-codes"},{"content":"Endpoints","slug":"endpoints"}],"owner":"11991884","collectionId":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","publishedId":"2s93Y5QLHp","public":true,"customColor":{"top-bar":"FFFFFF","right-sidebar":"303030","highlight":"FF6C37"},"publishDate":"2023-04-24T11:13:37.000Z"},"item":[{"name":"Device reading","item":[{"name":"Get Last Values","id":"49cd64cd-dd4a-4c7c-a98e-bd15b1a540da","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"https://api.qampo.es/apiv2/api/getLastValues","description":"<p>Retrieves the values of the last day (or the last indicated days) of the device sensors. By default it returns the values of the last day of all device sensors.</p>\n","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"<value>"}]},"isInherited":true,"source":{"_postman_id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","name":"Api Qampo EN","type":"collection"}},"urlObject":{"protocol":"https","path":["apiv2","api","getLastValues"],"host":["api","qampo","es"],"query":[{"disabled":true,"description":{"content":"<p>(Required) Node identifier.</p>\n","type":"text/plain"},"key":"nodeid","value":""},{"disabled":true,"description":{"content":"<p>(Optional) List of sensors to retrieve. By default all.</p>\n","type":"text/plain"},"key":"sensors","value":""},{"disabled":true,"description":{"content":"<p>(Optional) Number of days to retrieve. By default it returns the last day.</p>\n","type":"text/plain"},"key":"days","value":""},{"disabled":true,"description":{"content":"<p>(Optional) Number of decimals of the value field. Admits values from 1 to 5. By default 2.</p>\n","type":"text/plain"},"key":"trunc","value":""}],"variable":[]}},"response":[{"id":"3bb8efe0-2fb2-4525-9f12-6e6daf8ab3e8","name":"Get Last Values example","originalRequest":{"method":"GET","header":[{"key":"apikey","value":"my-apikey","type":"text"}],"url":{"raw":"https://api.qampo.es/apiv2/api/getLastValues?nodeid=10283102&sensors=soil_hum_1,vpd&days=3&trunc=2","protocol":"https","host":["api","qampo","es"],"path":["apiv2","api","getLastValues"],"query":[{"key":"nodeid","value":"10283102","description":"(Required) Node identifier."},{"key":"sensors","value":"soil_hum_1,vpd","description":"(Optional) List of sensors to retrieve. By default all."},{"key":"days","value":"3","description":"(Optional) Number of days to retrieve. By default it returns the last day."},{"key":"trunc","value":"2","description":"(Optional) Number of decimals of the value field. Admits values from 1 to 5. By default 2."}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Server","value":"nginx/1.10.3"},{"key":"Date","value":"Wed, 05 Oct 2022 15:46:45 GMT"},{"key":"Content-Type","value":"application/json"},{"key":"Content-Length","value":"23176"},{"key":"Connection","value":"keep-alive"},{"key":"X-Frame-Options","value":"DENY"},{"key":"X-Content-Type-Options","value":"nosniff"}],"cookie":[],"responseTime":null,"body":"{\n    \"soil_hum_1\": [\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664755260000\n        },\n        {\n            \"value\": \"11.92\",\n            \"timestamp\": 1664756160000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664757060000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664757960000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664758860000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664759760000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664760660000\n        },\n        {\n            \"value\": \"12.56\",\n            \"timestamp\": 1664761560000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664762460000\n        },\n        {\n            \"value\": \"11.92\",\n            \"timestamp\": 1664763360000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664764260000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664765160000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664766060000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664766960000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664767860000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664768760000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664769660000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664770560000\n        },\n        {\n            \"value\": \"12.08\",\n            \"timestamp\": 1664771460000\n        },\n        {\n            \"value\": \"11.92\",\n            \"timestamp\": 1664772360000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664773260000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664774160000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664775060000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664775960000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664776860000\n        },\n        {\n            \"value\": \"11.92\",\n            \"timestamp\": 1664777760000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664778660000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664779560000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664780460000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664781120000\n        },\n        {\n            \"value\": \"11.92\",\n            \"timestamp\": 1664782020000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664782920000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664783820000\n        },\n        {\n            \"value\": \"11.92\",\n            \"timestamp\": 1664784720000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664785620000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664786520000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664787420000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664788320000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664789220000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664790120000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664791020000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664791920000\n        },\n        {\n            \"value\": \"11.92\",\n            \"timestamp\": 1664792518000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664792820000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664793720000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664794320000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664794620000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664795520000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664796420000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664797320000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664798220000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664799120000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664800020000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664800920000\n        },\n        {\n            \"value\": \"11.44\",\n            \"timestamp\": 1664801820000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664802720000\n        },\n        {\n            \"value\": \"11.92\",\n            \"timestamp\": 1664803620000\n        },\n        {\n            \"value\": \"11.44\",\n            \"timestamp\": 1664804520000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664805420000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664806320000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664807220000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664808120000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664809020000\n        },\n        {\n            \"value\": \"11.44\",\n            \"timestamp\": 1664809920000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664810820000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664811720000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664812620000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664813520000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664814420000\n        },\n        {\n            \"value\": \"11.44\",\n            \"timestamp\": 1664815320000\n        },\n        {\n            \"value\": \"11.76\",\n            \"timestamp\": 1664816220000\n        },\n        {\n            \"value\": \"10.15\",\n            \"timestamp\": 1664817120000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664818020000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664818920000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664819820000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664820720000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664821620000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664822520000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664823420000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664824320000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664825220000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664826120000\n        },\n        {\n            \"value\": \"10.95\",\n            \"timestamp\": 1664827020000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664827920000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664828820000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664829720000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664830620000\n        },\n        {\n            \"value\": \"10.95\",\n            \"timestamp\": 1664831520000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664832420000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664833320000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664834220000\n        },\n        {\n            \"value\": \"10.95\",\n            \"timestamp\": 1664835120000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664836020000\n        },\n        {\n            \"value\": \"10.95\",\n            \"timestamp\": 1664836920000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664837820000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664838720000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664839620000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664840520000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664841420000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664842320000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664843220000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664844120000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664845020000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664845920000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664846820000\n        },\n        {\n            \"value\": \"10.95\",\n            \"timestamp\": 1664847720000\n        },\n        {\n            \"value\": \"10.95\",\n            \"timestamp\": 1664848620000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664849520000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664850420000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664851320000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664852220000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664853120000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664854020000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664854920000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664855820000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664856720000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664857620000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664858520000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664859420000\n        },\n        {\n            \"value\": \"11.44\",\n            \"timestamp\": 1664860320000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664861220000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664862120000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664863020000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664863920000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664864820000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664865720000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664866620000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664867520000\n        },\n        {\n            \"value\": \"10.95\",\n            \"timestamp\": 1664868420000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664869320000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664870220000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664871120000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664872020000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664872920000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664873820000\n        },\n        {\n            \"value\": \"11.44\",\n            \"timestamp\": 1664874720000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664875620000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664876520000\n        },\n        {\n            \"value\": \"10.95\",\n            \"timestamp\": 1664877420000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664878231000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664878320000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664879220000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664880120000\n        },\n        {\n            \"value\": \"10.95\",\n            \"timestamp\": 1664881020000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664881920000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664882820000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664883720000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664884620000\n        },\n        {\n            \"value\": \"11.44\",\n            \"timestamp\": 1664885520000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664886420000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664887320000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664888220000\n        },\n        {\n            \"value\": \"10.15\",\n            \"timestamp\": 1664889120000\n        },\n        {\n            \"value\": \"11.44\",\n            \"timestamp\": 1664890020000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664890920000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664891820000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664892720000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664893620000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664894520000\n        },\n        {\n            \"value\": \"10.15\",\n            \"timestamp\": 1664895420000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664896320000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664897220000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664898120000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664899020000\n        },\n        {\n            \"value\": \"9.82\",\n            \"timestamp\": 1664899920000\n        },\n        {\n            \"value\": \"11.6\",\n            \"timestamp\": 1664900820000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664901720000\n        },\n        {\n            \"value\": \"11.44\",\n            \"timestamp\": 1664902620000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664903520000\n        },\n        {\n            \"value\": \"11.44\",\n            \"timestamp\": 1664904420000\n        },\n        {\n            \"value\": \"9.99\",\n            \"timestamp\": 1664905320000\n        },\n        {\n            \"value\": \"9.66\",\n            \"timestamp\": 1664906220000\n        },\n        {\n            \"value\": \"10.15\",\n            \"timestamp\": 1664907120000\n        },\n        {\n            \"value\": \"9.99\",\n            \"timestamp\": 1664908020000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664908920000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664909820000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664910720000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664911620000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664912520000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664913420000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664914320000\n        },\n        {\n            \"value\": \"10.95\",\n            \"timestamp\": 1664915220000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664916120000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664917020000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664917920000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664918820000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664919720000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664920620000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664921520000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664922420000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664923320000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664924220000\n        },\n        {\n            \"value\": \"10.95\",\n            \"timestamp\": 1664925120000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664926020000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664926920000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664927820000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664928720000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664929620000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664930520000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664931420000\n        },\n        {\n            \"value\": \"9.99\",\n            \"timestamp\": 1664932320000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664933220000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664934120000\n        },\n        {\n            \"value\": \"10.95\",\n            \"timestamp\": 1664935020000\n        },\n        {\n            \"value\": \"11.11\",\n            \"timestamp\": 1664935920000\n        },\n        {\n            \"value\": \"9.82\",\n            \"timestamp\": 1664936820000\n        },\n        {\n            \"value\": \"9.99\",\n            \"timestamp\": 1664937720000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664938620000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664939520000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664940420000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664941320000\n        },\n        {\n            \"value\": \"10.15\",\n            \"timestamp\": 1664942220000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664943120000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664944020000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664944920000\n        },\n        {\n            \"value\": \"10.95\",\n            \"timestamp\": 1664945820000\n        },\n        {\n            \"value\": \"10.15\",\n            \"timestamp\": 1664946720000\n        },\n        {\n            \"value\": \"11.44\",\n            \"timestamp\": 1664947620000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664948520000\n        },\n        {\n            \"value\": \"9.99\",\n            \"timestamp\": 1664949420000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664950320000\n        },\n        {\n            \"value\": \"10.95\",\n            \"timestamp\": 1664951220000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664952120000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664953020000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664953920000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664954820000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664955720000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664956620000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664957520000\n        },\n        {\n            \"value\": \"11.27\",\n            \"timestamp\": 1664958420000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664959320000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664960220000\n        },\n        {\n            \"value\": \"10.95\",\n            \"timestamp\": 1664961120000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664962020000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664962920000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664963820000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664964720000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664965053000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664965620000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664966280000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664966520000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664967420000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664968320000\n        },\n        {\n            \"value\": \"10.95\",\n            \"timestamp\": 1664969220000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664970120000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664971020000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664971920000\n        },\n        {\n            \"value\": \"10.95\",\n            \"timestamp\": 1664972820000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664973720000\n        },\n        {\n            \"value\": \"9.82\",\n            \"timestamp\": 1664974620000\n        },\n        {\n            \"value\": \"10.79\",\n            \"timestamp\": 1664975520000\n        },\n        {\n            \"value\": \"9.82\",\n            \"timestamp\": 1664976420000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664977320000\n        },\n        {\n            \"value\": \"9.99\",\n            \"timestamp\": 1664978220000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664979120000\n        },\n        {\n            \"value\": \"9.99\",\n            \"timestamp\": 1664980020000\n        },\n        {\n            \"value\": \"9.66\",\n            \"timestamp\": 1664980920000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664981281000\n        },\n        {\n            \"value\": \"10.63\",\n            \"timestamp\": 1664981820000\n        },\n        {\n            \"value\": \"9.5\",\n            \"timestamp\": 1664982720000\n        },\n        {\n            \"value\": \"9.5\",\n            \"timestamp\": 1664983620000\n        },\n        {\n            \"value\": \"10.47\",\n            \"timestamp\": 1664984520000\n        },\n        {\n            \"value\": \"9.5\",\n            \"timestamp\": 1664985420000\n        },\n        {\n            \"value\": \"10.15\",\n            \"timestamp\": 1664986320000\n        },\n        {\n            \"value\": \"10.15\",\n            \"timestamp\": 1664987220000\n        },\n        {\n            \"value\": \"9.99\",\n            \"timestamp\": 1664988120000\n        },\n        {\n            \"value\": \"10.31\",\n            \"timestamp\": 1664989020000\n        }\n    ],\n    \"vpd\": [\n        {\n            \"value\": \"0.81\",\n            \"timestamp\": 1664755260000\n        },\n        {\n            \"value\": \"0.79\",\n            \"timestamp\": 1664756160000\n        },\n        {\n            \"value\": \"0.8\",\n            \"timestamp\": 1664757060000\n        },\n        {\n            \"value\": \"0.84\",\n            \"timestamp\": 1664757960000\n        },\n        {\n            \"value\": \"0.83\",\n            \"timestamp\": 1664758860000\n        },\n        {\n            \"value\": \"0.8\",\n            \"timestamp\": 1664759760000\n        },\n        {\n            \"value\": \"0.79\",\n            \"timestamp\": 1664760660000\n        },\n        {\n            \"value\": \"0.79\",\n            \"timestamp\": 1664761560000\n        },\n        {\n            \"value\": \"0.73\",\n            \"timestamp\": 1664762460000\n        },\n        {\n            \"value\": \"0.7\",\n            \"timestamp\": 1664763360000\n        },\n        {\n            \"value\": \"0.7\",\n            \"timestamp\": 1664764260000\n        },\n        {\n            \"value\": \"0.69\",\n            \"timestamp\": 1664765160000\n        },\n        {\n            \"value\": \"0.65\",\n            \"timestamp\": 1664766060000\n        },\n        {\n            \"value\": \"0.66\",\n            \"timestamp\": 1664766960000\n        },\n        {\n            \"value\": \"0.65\",\n            \"timestamp\": 1664767860000\n        },\n        {\n            \"value\": \"0.64\",\n            \"timestamp\": 1664768760000\n        },\n        {\n            \"value\": \"0.58\",\n            \"timestamp\": 1664769660000\n        },\n        {\n            \"value\": \"0.63\",\n            \"timestamp\": 1664770560000\n        },\n        {\n            \"value\": \"0.62\",\n            \"timestamp\": 1664771460000\n        },\n        {\n            \"value\": \"0.62\",\n            \"timestamp\": 1664772360000\n        },\n        {\n            \"value\": \"0.63\",\n            \"timestamp\": 1664773260000\n        },\n        {\n            \"value\": \"0.63\",\n            \"timestamp\": 1664774160000\n        },\n        {\n            \"value\": \"0.62\",\n            \"timestamp\": 1664775060000\n        },\n        {\n            \"value\": \"0.6\",\n            \"timestamp\": 1664775960000\n        },\n        {\n            \"value\": \"0.6\",\n            \"timestamp\": 1664776860000\n        },\n        {\n            \"value\": \"0.59\",\n            \"timestamp\": 1664777760000\n        },\n        {\n            \"value\": \"0.6\",\n            \"timestamp\": 1664778660000\n        },\n        {\n            \"value\": \"0.56\",\n            \"timestamp\": 1664779560000\n        },\n        {\n            \"value\": \"0.55\",\n            \"timestamp\": 1664780460000\n        },\n        {\n            \"value\": \"0.55\",\n            \"timestamp\": 1664781120000\n        },\n        {\n            \"value\": \"0.52\",\n            \"timestamp\": 1664782020000\n        },\n        {\n            \"value\": \"0.51\",\n            \"timestamp\": 1664782920000\n        },\n        {\n            \"value\": \"0.54\",\n            \"timestamp\": 1664783820000\n        },\n        {\n            \"value\": \"0.55\",\n            \"timestamp\": 1664784720000\n        },\n        {\n            \"value\": \"0.56\",\n            \"timestamp\": 1664785620000\n        },\n        {\n            \"value\": \"0.57\",\n            \"timestamp\": 1664786520000\n        },\n        {\n            \"value\": \"0.58\",\n            \"timestamp\": 1664787420000\n        },\n        {\n            \"value\": \"0.62\",\n            \"timestamp\": 1664788320000\n        },\n        {\n            \"value\": \"0.71\",\n            \"timestamp\": 1664789220000\n        },\n        {\n            \"value\": \"0.79\",\n            \"timestamp\": 1664790120000\n        },\n        {\n            \"value\": \"0.97\",\n            \"timestamp\": 1664791020000\n        },\n        {\n            \"value\": \"1.11\",\n            \"timestamp\": 1664791920000\n        },\n        {\n            \"value\": \"1.23\",\n            \"timestamp\": 1664792518000\n        },\n        {\n            \"value\": \"1.33\",\n            \"timestamp\": 1664792820000\n        },\n        {\n            \"value\": \"1.49\",\n            \"timestamp\": 1664793720000\n        },\n        {\n            \"value\": \"1.59\",\n            \"timestamp\": 1664794320000\n        },\n        {\n            \"value\": \"1.72\",\n            \"timestamp\": 1664794620000\n        },\n        {\n            \"value\": \"2.02\",\n            \"timestamp\": 1664795520000\n        },\n        {\n            \"value\": \"2.33\",\n            \"timestamp\": 1664796420000\n        },\n        {\n            \"value\": \"2.14\",\n            \"timestamp\": 1664797320000\n        },\n        {\n            \"value\": \"2.05\",\n            \"timestamp\": 1664798220000\n        },\n        {\n            \"value\": \"2.02\",\n            \"timestamp\": 1664799120000\n        },\n        {\n            \"value\": \"1.88\",\n            \"timestamp\": 1664800020000\n        },\n        {\n            \"value\": \"1.95\",\n            \"timestamp\": 1664800920000\n        },\n        {\n            \"value\": \"2.01\",\n            \"timestamp\": 1664801820000\n        },\n        {\n            \"value\": \"2.12\",\n            \"timestamp\": 1664802720000\n        },\n        {\n            \"value\": \"2.1\",\n            \"timestamp\": 1664803620000\n        },\n        {\n            \"value\": \"2.24\",\n            \"timestamp\": 1664804520000\n        },\n        {\n            \"value\": \"2.22\",\n            \"timestamp\": 1664805420000\n        },\n        {\n            \"value\": \"2.23\",\n            \"timestamp\": 1664806320000\n        },\n        {\n            \"value\": \"2.23\",\n            \"timestamp\": 1664807220000\n        },\n        {\n            \"value\": \"2.26\",\n            \"timestamp\": 1664808120000\n        },\n        {\n            \"value\": \"2.23\",\n            \"timestamp\": 1664809020000\n        },\n        {\n            \"value\": \"2.31\",\n            \"timestamp\": 1664809920000\n        },\n        {\n            \"value\": \"2.35\",\n            \"timestamp\": 1664810820000\n        },\n        {\n            \"value\": \"2.3\",\n            \"timestamp\": 1664811720000\n        },\n        {\n            \"value\": \"2.38\",\n            \"timestamp\": 1664812620000\n        },\n        {\n            \"value\": \"2.33\",\n            \"timestamp\": 1664813520000\n        },\n        {\n            \"value\": \"2.29\",\n            \"timestamp\": 1664814420000\n        },\n        {\n            \"value\": \"2.45\",\n            \"timestamp\": 1664815320000\n        },\n        {\n            \"value\": \"2.38\",\n            \"timestamp\": 1664816220000\n        },\n        {\n            \"value\": \"2.24\",\n            \"timestamp\": 1664817120000\n        },\n        {\n            \"value\": \"2.23\",\n            \"timestamp\": 1664818020000\n        },\n        {\n            \"value\": \"2.27\",\n            \"timestamp\": 1664818920000\n        },\n        {\n            \"value\": \"2.0\",\n            \"timestamp\": 1664819820000\n        },\n        {\n            \"value\": \"1.9\",\n            \"timestamp\": 1664820720000\n        },\n        {\n            \"value\": \"1.85\",\n            \"timestamp\": 1664821620000\n        },\n        {\n            \"value\": \"1.68\",\n            \"timestamp\": 1664822520000\n        },\n        {\n            \"value\": \"1.6\",\n            \"timestamp\": 1664823420000\n        },\n        {\n            \"value\": \"1.47\",\n            \"timestamp\": 1664824320000\n        },\n        {\n            \"value\": \"1.4\",\n            \"timestamp\": 1664825220000\n        },\n        {\n            \"value\": \"1.29\",\n            \"timestamp\": 1664826120000\n        },\n        {\n            \"value\": \"1.13\",\n            \"timestamp\": 1664827020000\n        },\n        {\n            \"value\": \"0.98\",\n            \"timestamp\": 1664827920000\n        },\n        {\n            \"value\": \"0.79\",\n            \"timestamp\": 1664828820000\n        },\n        {\n            \"value\": \"0.65\",\n            \"timestamp\": 1664829720000\n        },\n        {\n            \"value\": \"0.55\",\n            \"timestamp\": 1664830620000\n        },\n        {\n            \"value\": \"0.49\",\n            \"timestamp\": 1664831520000\n        },\n        {\n            \"value\": \"0.44\",\n            \"timestamp\": 1664832420000\n        },\n        {\n            \"value\": \"0.41\",\n            \"timestamp\": 1664833320000\n        },\n        {\n            \"value\": \"0.37\",\n            \"timestamp\": 1664834220000\n        },\n        {\n            \"value\": \"0.35\",\n            \"timestamp\": 1664835120000\n        },\n        {\n            \"value\": \"0.32\",\n            \"timestamp\": 1664836020000\n        },\n        {\n            \"value\": \"0.27\",\n            \"timestamp\": 1664836920000\n        },\n        {\n            \"value\": \"0.27\",\n            \"timestamp\": 1664837820000\n        },\n        {\n            \"value\": \"0.29\",\n            \"timestamp\": 1664838720000\n        },\n        {\n            \"value\": \"0.27\",\n            \"timestamp\": 1664839620000\n        },\n        {\n            \"value\": \"0.24\",\n            \"timestamp\": 1664840520000\n        },\n        {\n            \"value\": \"0.24\",\n            \"timestamp\": 1664841420000\n        },\n        {\n            \"value\": \"0.24\",\n            \"timestamp\": 1664842320000\n        },\n        {\n            \"value\": \"0.23\",\n            \"timestamp\": 1664843220000\n        },\n        {\n            \"value\": \"0.23\",\n            \"timestamp\": 1664844120000\n        },\n        {\n            \"value\": \"0.24\",\n            \"timestamp\": 1664845020000\n        },\n        {\n            \"value\": \"0.22\",\n            \"timestamp\": 1664845920000\n        },\n        {\n            \"value\": \"0.19\",\n            \"timestamp\": 1664846820000\n        },\n        {\n            \"value\": \"0.5\",\n            \"timestamp\": 1664847720000\n        },\n        {\n            \"value\": \"0.64\",\n            \"timestamp\": 1664848620000\n        },\n        {\n            \"value\": \"0.68\",\n            \"timestamp\": 1664849520000\n        },\n        {\n            \"value\": \"0.69\",\n            \"timestamp\": 1664850420000\n        },\n        {\n            \"value\": \"0.68\",\n            \"timestamp\": 1664851320000\n        },\n        {\n            \"value\": \"0.67\",\n            \"timestamp\": 1664852220000\n        },\n        {\n            \"value\": \"0.65\",\n            \"timestamp\": 1664853120000\n        },\n        {\n            \"value\": \"0.61\",\n            \"timestamp\": 1664854020000\n        },\n        {\n            \"value\": \"0.58\",\n            \"timestamp\": 1664854920000\n        },\n        {\n            \"value\": \"0.57\",\n            \"timestamp\": 1664855820000\n        },\n        {\n            \"value\": \"0.58\",\n            \"timestamp\": 1664856720000\n        },\n        {\n            \"value\": \"0.54\",\n            \"timestamp\": 1664857620000\n        },\n        {\n            \"value\": \"0.54\",\n            \"timestamp\": 1664858520000\n        },\n        {\n            \"value\": \"0.54\",\n            \"timestamp\": 1664859420000\n        },\n        {\n            \"value\": \"0.53\",\n            \"timestamp\": 1664860320000\n        },\n        {\n            \"value\": \"0.51\",\n            \"timestamp\": 1664861220000\n        },\n        {\n            \"value\": \"0.5\",\n            \"timestamp\": 1664862120000\n        },\n        {\n            \"value\": \"0.47\",\n            \"timestamp\": 1664863020000\n        },\n        {\n            \"value\": \"0.45\",\n            \"timestamp\": 1664863920000\n        },\n        {\n            \"value\": \"0.44\",\n            \"timestamp\": 1664864820000\n        },\n        {\n            \"value\": \"0.43\",\n            \"timestamp\": 1664865720000\n        },\n        {\n            \"value\": \"0.4\",\n            \"timestamp\": 1664866620000\n        },\n        {\n            \"value\": \"0.39\",\n            \"timestamp\": 1664867520000\n        },\n        {\n            \"value\": \"0.35\",\n            \"timestamp\": 1664868420000\n        },\n        {\n            \"value\": \"0.31\",\n            \"timestamp\": 1664869320000\n        },\n        {\n            \"value\": \"0.28\",\n            \"timestamp\": 1664870220000\n        },\n        {\n            \"value\": \"0.24\",\n            \"timestamp\": 1664871120000\n        },\n        {\n            \"value\": \"0.23\",\n            \"timestamp\": 1664872020000\n        },\n        {\n            \"value\": \"0.22\",\n            \"timestamp\": 1664872920000\n        },\n        {\n            \"value\": \"0.25\",\n            \"timestamp\": 1664873820000\n        },\n        {\n            \"value\": \"0.3\",\n            \"timestamp\": 1664874720000\n        },\n        {\n            \"value\": \"0.39\",\n            \"timestamp\": 1664875620000\n        },\n        {\n            \"value\": \"0.51\",\n            \"timestamp\": 1664876520000\n        },\n        {\n            \"value\": \"0.65\",\n            \"timestamp\": 1664877420000\n        },\n        {\n            \"value\": \"0.74\",\n            \"timestamp\": 1664878231000\n        },\n        {\n            \"value\": \"0.76\",\n            \"timestamp\": 1664878320000\n        },\n        {\n            \"value\": \"0.91\",\n            \"timestamp\": 1664879220000\n        },\n        {\n            \"value\": \"1.16\",\n            \"timestamp\": 1664880120000\n        },\n        {\n            \"value\": \"1.3\",\n            \"timestamp\": 1664881020000\n        },\n        {\n            \"value\": \"1.61\",\n            \"timestamp\": 1664881920000\n        },\n        {\n            \"value\": \"1.88\",\n            \"timestamp\": 1664882820000\n        },\n        {\n            \"value\": \"2.01\",\n            \"timestamp\": 1664883720000\n        },\n        {\n            \"value\": \"2.09\",\n            \"timestamp\": 1664884620000\n        },\n        {\n            \"value\": \"2.08\",\n            \"timestamp\": 1664885520000\n        },\n        {\n            \"value\": \"2.41\",\n            \"timestamp\": 1664886420000\n        },\n        {\n            \"value\": \"2.6\",\n            \"timestamp\": 1664887320000\n        },\n        {\n            \"value\": \"2.67\",\n            \"timestamp\": 1664888220000\n        },\n        {\n            \"value\": \"2.8\",\n            \"timestamp\": 1664889120000\n        },\n        {\n            \"value\": \"2.99\",\n            \"timestamp\": 1664890020000\n        },\n        {\n            \"value\": \"3.03\",\n            \"timestamp\": 1664890920000\n        },\n        {\n            \"value\": \"3.21\",\n            \"timestamp\": 1664891820000\n        },\n        {\n            \"value\": \"3.22\",\n            \"timestamp\": 1664892720000\n        },\n        {\n            \"value\": \"3.28\",\n            \"timestamp\": 1664893620000\n        },\n        {\n            \"value\": \"3.58\",\n            \"timestamp\": 1664894520000\n        },\n        {\n            \"value\": \"3.54\",\n            \"timestamp\": 1664895420000\n        },\n        {\n            \"value\": \"3.62\",\n            \"timestamp\": 1664896320000\n        },\n        {\n            \"value\": \"3.53\",\n            \"timestamp\": 1664897220000\n        },\n        {\n            \"value\": \"3.43\",\n            \"timestamp\": 1664898120000\n        },\n        {\n            \"value\": \"3.5\",\n            \"timestamp\": 1664899020000\n        },\n        {\n            \"value\": \"3.45\",\n            \"timestamp\": 1664899920000\n        },\n        {\n            \"value\": \"3.58\",\n            \"timestamp\": 1664900820000\n        },\n        {\n            \"value\": \"3.55\",\n            \"timestamp\": 1664901720000\n        },\n        {\n            \"value\": \"3.67\",\n            \"timestamp\": 1664902620000\n        },\n        {\n            \"value\": \"3.39\",\n            \"timestamp\": 1664903520000\n        },\n        {\n            \"value\": \"3.26\",\n            \"timestamp\": 1664904420000\n        },\n        {\n            \"value\": \"3.24\",\n            \"timestamp\": 1664905320000\n        },\n        {\n            \"value\": \"3.17\",\n            \"timestamp\": 1664906220000\n        },\n        {\n            \"value\": \"2.97\",\n            \"timestamp\": 1664907120000\n        },\n        {\n            \"value\": \"2.77\",\n            \"timestamp\": 1664908020000\n        },\n        {\n            \"value\": \"2.81\",\n            \"timestamp\": 1664908920000\n        },\n        {\n            \"value\": \"2.77\",\n            \"timestamp\": 1664909820000\n        },\n        {\n            \"value\": \"2.62\",\n            \"timestamp\": 1664910720000\n        },\n        {\n            \"value\": \"2.4\",\n            \"timestamp\": 1664911620000\n        },\n        {\n            \"value\": \"2.27\",\n            \"timestamp\": 1664912520000\n        },\n        {\n            \"value\": \"2.07\",\n            \"timestamp\": 1664913420000\n        },\n        {\n            \"value\": \"1.93\",\n            \"timestamp\": 1664914320000\n        },\n        {\n            \"value\": \"1.83\",\n            \"timestamp\": 1664915220000\n        },\n        {\n            \"value\": \"1.72\",\n            \"timestamp\": 1664916120000\n        },\n        {\n            \"value\": \"1.58\",\n            \"timestamp\": 1664917020000\n        },\n        {\n            \"value\": \"1.57\",\n            \"timestamp\": 1664917920000\n        },\n        {\n            \"value\": \"1.49\",\n            \"timestamp\": 1664918820000\n        },\n        {\n            \"value\": \"1.23\",\n            \"timestamp\": 1664919720000\n        },\n        {\n            \"value\": \"1.12\",\n            \"timestamp\": 1664920620000\n        },\n        {\n            \"value\": \"1.01\",\n            \"timestamp\": 1664921520000\n        },\n        {\n            \"value\": \"0.95\",\n            \"timestamp\": 1664922420000\n        },\n        {\n            \"value\": \"0.87\",\n            \"timestamp\": 1664923320000\n        },\n        {\n            \"value\": \"0.91\",\n            \"timestamp\": 1664924220000\n        },\n        {\n            \"value\": \"0.94\",\n            \"timestamp\": 1664925120000\n        },\n        {\n            \"value\": \"0.78\",\n            \"timestamp\": 1664926020000\n        },\n        {\n            \"value\": \"0.8\",\n            \"timestamp\": 1664926920000\n        },\n        {\n            \"value\": \"0.81\",\n            \"timestamp\": 1664927820000\n        },\n        {\n            \"value\": \"0.67\",\n            \"timestamp\": 1664928720000\n        },\n        {\n            \"value\": \"0.96\",\n            \"timestamp\": 1664929620000\n        },\n        {\n            \"value\": \"1.23\",\n            \"timestamp\": 1664930520000\n        },\n        {\n            \"value\": \"1.45\",\n            \"timestamp\": 1664931420000\n        },\n        {\n            \"value\": \"1.36\",\n            \"timestamp\": 1664932320000\n        },\n        {\n            \"value\": \"1.19\",\n            \"timestamp\": 1664933220000\n        },\n        {\n            \"value\": \"1.19\",\n            \"timestamp\": 1664934120000\n        },\n        {\n            \"value\": \"1.33\",\n            \"timestamp\": 1664935020000\n        },\n        {\n            \"value\": \"1.38\",\n            \"timestamp\": 1664935920000\n        },\n        {\n            \"value\": \"1.41\",\n            \"timestamp\": 1664936820000\n        },\n        {\n            \"value\": \"1.43\",\n            \"timestamp\": 1664937720000\n        },\n        {\n            \"value\": \"1.39\",\n            \"timestamp\": 1664938620000\n        },\n        {\n            \"value\": \"1.37\",\n            \"timestamp\": 1664939520000\n        },\n        {\n            \"value\": \"1.35\",\n            \"timestamp\": 1664940420000\n        },\n        {\n            \"value\": \"1.3\",\n            \"timestamp\": 1664941320000\n        },\n        {\n            \"value\": \"1.3\",\n            \"timestamp\": 1664942220000\n        },\n        {\n            \"value\": \"1.26\",\n            \"timestamp\": 1664943120000\n        },\n        {\n            \"value\": \"1.18\",\n            \"timestamp\": 1664944020000\n        },\n        {\n            \"value\": \"1.19\",\n            \"timestamp\": 1664944920000\n        },\n        {\n            \"value\": \"1.17\",\n            \"timestamp\": 1664945820000\n        },\n        {\n            \"value\": \"1.01\",\n            \"timestamp\": 1664946720000\n        },\n        {\n            \"value\": \"0.92\",\n            \"timestamp\": 1664947620000\n        },\n        {\n            \"value\": \"0.91\",\n            \"timestamp\": 1664948520000\n        },\n        {\n            \"value\": \"0.75\",\n            \"timestamp\": 1664949420000\n        },\n        {\n            \"value\": \"0.77\",\n            \"timestamp\": 1664950320000\n        },\n        {\n            \"value\": \"0.71\",\n            \"timestamp\": 1664951220000\n        },\n        {\n            \"value\": \"0.75\",\n            \"timestamp\": 1664952120000\n        },\n        {\n            \"value\": \"0.74\",\n            \"timestamp\": 1664953020000\n        },\n        {\n            \"value\": \"0.68\",\n            \"timestamp\": 1664953920000\n        },\n        {\n            \"value\": \"0.66\",\n            \"timestamp\": 1664954820000\n        },\n        {\n            \"value\": \"0.68\",\n            \"timestamp\": 1664955720000\n        },\n        {\n            \"value\": \"0.7\",\n            \"timestamp\": 1664956620000\n        },\n        {\n            \"value\": \"0.63\",\n            \"timestamp\": 1664957520000\n        },\n        {\n            \"value\": \"0.55\",\n            \"timestamp\": 1664958420000\n        },\n        {\n            \"value\": \"0.48\",\n            \"timestamp\": 1664959320000\n        },\n        {\n            \"value\": \"0.52\",\n            \"timestamp\": 1664960220000\n        },\n        {\n            \"value\": \"0.59\",\n            \"timestamp\": 1664961120000\n        },\n        {\n            \"value\": \"0.74\",\n            \"timestamp\": 1664962020000\n        },\n        {\n            \"value\": \"1.01\",\n            \"timestamp\": 1664962920000\n        },\n        {\n            \"value\": \"1.11\",\n            \"timestamp\": 1664963820000\n        },\n        {\n            \"value\": \"1.17\",\n            \"timestamp\": 1664964720000\n        },\n        {\n            \"value\": \"1.22\",\n            \"timestamp\": 1664965053000\n        },\n        {\n            \"value\": \"1.36\",\n            \"timestamp\": 1664965620000\n        },\n        {\n            \"value\": \"1.47\",\n            \"timestamp\": 1664966280000\n        },\n        {\n            \"value\": \"1.48\",\n            \"timestamp\": 1664966520000\n        },\n        {\n            \"value\": \"1.85\",\n            \"timestamp\": 1664967420000\n        },\n        {\n            \"value\": \"1.95\",\n            \"timestamp\": 1664968320000\n        },\n        {\n            \"value\": \"1.96\",\n            \"timestamp\": 1664969220000\n        },\n        {\n            \"value\": \"2.11\",\n            \"timestamp\": 1664970120000\n        },\n        {\n            \"value\": \"2.06\",\n            \"timestamp\": 1664971020000\n        },\n        {\n            \"value\": \"2.25\",\n            \"timestamp\": 1664971920000\n        },\n        {\n            \"value\": \"2.23\",\n            \"timestamp\": 1664972820000\n        },\n        {\n            \"value\": \"2.37\",\n            \"timestamp\": 1664973720000\n        },\n        {\n            \"value\": \"2.38\",\n            \"timestamp\": 1664974620000\n        },\n        {\n            \"value\": \"2.63\",\n            \"timestamp\": 1664975520000\n        },\n        {\n            \"value\": \"2.73\",\n            \"timestamp\": 1664976420000\n        },\n        {\n            \"value\": \"2.84\",\n            \"timestamp\": 1664977320000\n        },\n        {\n            \"value\": \"3.12\",\n            \"timestamp\": 1664978220000\n        },\n        {\n            \"value\": \"2.85\",\n            \"timestamp\": 1664979120000\n        },\n        {\n            \"value\": \"3.1\",\n            \"timestamp\": 1664980020000\n        },\n        {\n            \"value\": \"3.17\",\n            \"timestamp\": 1664980920000\n        },\n        {\n            \"value\": \"3.03\",\n            \"timestamp\": 1664981281000\n        },\n        {\n            \"value\": \"3.17\",\n            \"timestamp\": 1664981820000\n        },\n        {\n            \"value\": \"3.14\",\n            \"timestamp\": 1664982720000\n        },\n        {\n            \"value\": \"3.2\",\n            \"timestamp\": 1664983620000\n        },\n        {\n            \"value\": \"3.18\",\n            \"timestamp\": 1664984520000\n        },\n        {\n            \"value\": \"3.13\",\n            \"timestamp\": 1664985420000\n        },\n        {\n            \"value\": \"3.1\",\n            \"timestamp\": 1664986320000\n        },\n        {\n            \"value\": \"3.05\",\n            \"timestamp\": 1664987220000\n        },\n        {\n            \"value\": \"3.09\",\n            \"timestamp\": 1664988120000\n        },\n        {\n            \"value\": \"2.96\",\n            \"timestamp\": 1664989020000\n        }\n    ]\n}"}],"_postman_id":"49cd64cd-dd4a-4c7c-a98e-bd15b1a540da"},{"name":"Get Values","id":"8d53756a-510e-4f53-a247-16117a0124ef","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"https://api.qampo.es/apiv2/api/getValues","description":"<p>Retrieve the values from each device sensor (or indicated sensors) between two timestamps.</p>\n","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"<value>"}]},"isInherited":true,"source":{"_postman_id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","name":"Api Qampo EN","type":"collection"}},"urlObject":{"protocol":"https","path":["apiv2","api","getValues"],"host":["api","qampo","es"],"query":[{"disabled":true,"description":{"content":"<p>(Required) Node identifier.</p>\n","type":"text/plain"},"key":"nodeid","value":""},{"disabled":true,"description":{"content":"<p>(Required) Start timestamp [ms].</p>\n","type":"text/plain"},"key":"ts_start","value":""},{"disabled":true,"description":{"content":"<p>(Required) End timestamp [ms].</p>\n","type":"text/plain"},"key":"ts_end","value":""},{"disabled":true,"description":{"content":"<p>(Optional) List of sensors to retrieve. By default all.</p>\n","type":"text/plain"},"key":"sensors","value":""},{"disabled":true,"description":{"content":"<p>(Optional) Number of decimals of the value field. Admits values from 1 to 5. By default 2.</p>\n","type":"text/plain"},"key":"trunc","value":""},{"disabled":true,"description":{"content":"<p>(Optional) Indicates if the required ts are in UTC time. Device local time by default.</p>\n","type":"text/plain"},"key":"utc","value":""}],"variable":[]}},"response":[{"id":"19dd6cf8-6876-45f9-955d-667580ce3150","name":"Get Values example","originalRequest":{"method":"GET","header":[{"key":"apikey","value":"my-apikey","type":"text"}],"url":{"raw":"https://api.qampo.es/apiv2/api/getValues?nodeid=10283102&ts_start=1660514499000&ts_end=1660537479000&sensors=soil_hum_1,weather_tmed&trunc=3","protocol":"https","host":["api","qampo","es"],"path":["apiv2","api","getValues"],"query":[{"key":"nodeid","value":"10283102","description":"(Required) Node identifier."},{"key":"ts_start","value":"1660514499000","description":"(Required) Start timestamp [ms]."},{"key":"ts_end","value":"1660537479000","description":"(Required) End timestamp [ms]."},{"key":"sensors","value":"soil_hum_1,weather_tmed","description":"(Optional) List of sensors to retrieve. By default all."},{"key":"trunc","value":"3","description":"(Optional) Number of decimals of the value field. Admits values from 1 to 5. By default 2."},{"key":"utc","value":"","description":"(Optional) Indicates if the required ts are in UTC time. Device local time by default.","type":"text","disabled":true}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json"},{"key":"Content-Length","value":"1247"},{"key":"Date","value":"Wed, 05 Oct 2022 15:17:08 GMT"},{"key":"Keep-Alive","value":"timeout=60"},{"key":"Connection","value":"keep-alive"}],"cookie":[],"responseTime":null,"body":"{\n    \"soil_hum_1\": [\n        {\n            \"value\": \"18.691\",\n            \"timestamp\": 1660514700000\n        },\n        {\n            \"value\": \"18.852\",\n            \"timestamp\": 1660515600000\n        },\n        {\n            \"value\": \"18.691\",\n            \"timestamp\": 1660516500000\n        },\n        {\n            \"value\": \"17.563\",\n            \"timestamp\": 1660517400000\n        },\n        {\n            \"value\": \"18.691\",\n            \"timestamp\": 1660518300000\n        },\n        {\n            \"value\": \"17.724\",\n            \"timestamp\": 1660519200000\n        },\n        {\n            \"value\": \"18.208\",\n            \"timestamp\": 1660520100000\n        },\n        {\n            \"value\": \"17.724\",\n            \"timestamp\": 1660521000000\n        },\n        {\n            \"value\": \"18.369\",\n            \"timestamp\": 1660521900000\n        },\n        {\n            \"value\": \"18.369\",\n            \"timestamp\": 1660522800000\n        },\n        {\n            \"value\": \"17.563\",\n            \"timestamp\": 1660523700000\n        },\n        {\n            \"value\": \"18.046\",\n            \"timestamp\": 1660524600000\n        },\n        {\n            \"value\": \"18.046\",\n            \"timestamp\": 1660525500000\n        },\n        {\n            \"value\": \"18.046\",\n            \"timestamp\": 1660526400000\n        },\n        {\n            \"value\": \"18.369\",\n            \"timestamp\": 1660527300000\n        },\n        {\n            \"value\": \"17.724\",\n            \"timestamp\": 1660528200000\n        },\n        {\n            \"value\": \"18.046\",\n            \"timestamp\": 1660529100000\n        },\n        {\n            \"value\": \"18.691\",\n            \"timestamp\": 1660530000000\n        },\n        {\n            \"value\": \"17.885\",\n            \"timestamp\": 1660530900000\n        },\n        {\n            \"value\": \"17.724\",\n            \"timestamp\": 1660531800000\n        },\n        {\n            \"value\": \"18.53\",\n            \"timestamp\": 1660532700000\n        },\n        {\n            \"value\": \"17.885\",\n            \"timestamp\": 1660533600000\n        },\n        {\n            \"value\": \"18.369\",\n            \"timestamp\": 1660534500000\n        },\n        {\n            \"value\": \"17.724\",\n            \"timestamp\": 1660535400000\n        },\n        {\n            \"value\": \"17.885\",\n            \"timestamp\": 1660536300000\n        },\n        {\n            \"value\": \"17.724\",\n            \"timestamp\": 1660537200000\n        }\n    ],\n    \"weather_tmed\": [\n        {\n            \"value\": \"26.529\",\n            \"timestamp\": 1660521573982\n        }\n    ]\n}"}],"_postman_id":"8d53756a-510e-4f53-a247-16117a0124ef"},{"name":"Get Statistics","id":"0f57fbc8-a5b1-4321-ae91-dc246ddd9824","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"https://api.qampo.es/apiv2/api/getStatistics","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"<value>"}]},"isInherited":true,"source":{"_postman_id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","name":"Api Qampo EN","type":"collection"}},"urlObject":{"protocol":"https","path":["apiv2","api","getStatistics"],"host":["api","qampo","es"],"query":[{"disabled":true,"description":{"content":"<p>(Required) Node identifier</p>\n","type":"text/plain"},"key":"nodeid","value":""},{"disabled":true,"description":{"content":"<p>(Required) Variable to consult.</p>\n","type":"text/plain"},"key":"sensor","value":""},{"disabled":true,"description":{"content":"<p>(Optional) Option to obtain the measurements that generated the summary.</p>\n","type":"text/plain"},"key":"dots","value":""},{"disabled":true,"description":{"content":"<p>(Optional) Local node start timestamp. If an interval is not indicated, the statistics summary of the current day is returned.</p>\n","type":"text/plain"},"key":"ts_start","value":""},{"disabled":true,"description":{"content":"<p>(Optional) Timestamp in local node time of the end. If no interval is specified, the statistics summary for the current day is obtained..</p>\n","type":"text/plain"},"key":"ts_end","value":""},{"disabled":true,"description":{"content":"<p>(Optional) Indicates whether the required timestamps are in UTC time. By default, they are in the local time of the node.</p>\n","type":"text/plain"},"key":"utc","value":""}],"variable":[]}},"response":[{"id":"48c2eee7-2e11-4aaf-9b8c-5c281fba9ece","name":"Get Statistics","originalRequest":{"method":"GET","header":[],"url":{"raw":"https://api.qampo.es/apiv2/api/getStatistics?nodeid=10305201&sensor=soil_hum_1&ts_start=1667138091000&ts_end=1667520000000","protocol":"https","host":["api","qampo","es"],"path":["apiv2","api","getStatistics"],"query":[{"key":"nodeid","value":"10305201","description":"(Required) Node identifier"},{"key":"sensor","value":"soil_hum_1","description":"(Required) Variable to consult."},{"key":"dots","value":null,"description":"(Optional) Option to obtain the measurements that generated the summary.","type":"text","disabled":true},{"key":"ts_start","value":"1667138091000","description":"(Optional) Local node start timestamp. If an interval is not indicated, the statistics summary of the current day is returned."},{"key":"utc","value":null,"description":"(Optional) Indicates whether the required timestamps are in UTC time. By default, they are in the local time of the node.","type":"text","disabled":true},{"key":"ts_end","value":"1667520000000","description":"(Optional) Timestamp in local node time of the end. If no interval is specified, the statistics summary for the current day is obtained.."}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","name":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n    \"nodeid\": \"10305201\",\n    \"label\": \"soil_hum_1\",\n    \"max\": 33.19,\n    \"min\": 27.88,\n    \"sum\": 12771.87,\n    \"avg\": 30.05,\n    \"stdDev\": 1.04,\n    \"samples\": 425,\n    \"ts_start\": 1667138340000,\n    \"ts_end\": 1667519940000,\n    \"dots\": []\n}"},{"id":"7866b36f-964c-4c8a-816b-438fe51790f4","name":"Get Statistics dots=true","originalRequest":{"method":"GET","header":[],"url":{"raw":"https://api.qampo.es/apiv2/api/getStatistics?nodeid=10305201&sensor=soil_hum_1&dots=true&ts_start=1667138091000&ts_end=1667520000000","protocol":"https","host":["api","qampo","es"],"path":["apiv2","api","getStatistics"],"query":[{"key":"nodeid","value":"10305201","description":"(Required) Node identifier"},{"key":"sensor","value":"soil_hum_1","description":"(Required) Variable to consult."},{"key":"dots","value":"true","description":"(Optional) Option to obtain the measurements that generated the summary."},{"key":"ts_start","value":"1667138091000","description":"(Optional) Local node start timestamp. If an interval is not indicated, the statistics summary of the current day is returned."},{"key":"ts_end","value":"1667520000000","description":"(Optional) Timestamp in local node time of the end. If no interval is specified, the statistics summary for the current day is obtained.."},{"key":"utc","value":null,"description":"(Optional) Indicates whether the required timestamps are in UTC time. By default, they are in the local time of the node.","type":"text","disabled":true}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","name":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n    \"nodeid\": \"10305201\",\n    \"label\": \"soil_hum_1\",\n    \"max\": 33.19,\n    \"min\": 27.88,\n    \"sum\": 12771.87,\n    \"avg\": 30.05,\n    \"stdDev\": 1.04,\n    \"samples\": 425,\n    \"ts_start\": 1667138340000,\n    \"ts_end\": 1667519940000,\n    \"dots\": [\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667141940000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667142840000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667143740000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667144640000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667145540000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667146440000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667147340000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667148240000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667149140000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667150040000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667150940000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667151840000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667152740000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667153640000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667154540000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667155440000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667156340000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667157240000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667158140000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667159040000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667159940000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667160840000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667161740000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667162640000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667163540000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667164440000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667165340000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667166240000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667167140000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667168040000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667168940000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667169840000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667170740000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667171640000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667172540000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667173440000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667174340000\n        },\n        {\n            \"value\": \"29.97\",\n            \"timestamp\": 1667175240000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667176140000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667177040000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667177940000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667178840000\n        },\n        {\n            \"value\": \"29.97\",\n            \"timestamp\": 1667179740000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667180640000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667181540000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667182440000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667183340000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667184240000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667185140000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667186040000\n        },\n        {\n            \"value\": \"29.97\",\n            \"timestamp\": 1667186940000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667187840000\n        },\n        {\n            \"value\": \"29.97\",\n            \"timestamp\": 1667188740000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667189640000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667190540000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667191440000\n        },\n        {\n            \"value\": \"29.8\",\n            \"timestamp\": 1667192340000\n        },\n        {\n            \"value\": \"29.97\",\n            \"timestamp\": 1667193240000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667194140000\n        },\n        {\n            \"value\": \"29.97\",\n            \"timestamp\": 1667195040000\n        },\n        {\n            \"value\": \"29.97\",\n            \"timestamp\": 1667195940000\n        },\n        {\n            \"value\": \"29.97\",\n            \"timestamp\": 1667196840000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667197740000\n        },\n        {\n            \"value\": \"29.97\",\n            \"timestamp\": 1667198640000\n        },\n        {\n            \"value\": \"29.8\",\n            \"timestamp\": 1667199540000\n        },\n        {\n            \"value\": \"29.8\",\n            \"timestamp\": 1667200440000\n        },\n        {\n            \"value\": \"29.8\",\n            \"timestamp\": 1667201340000\n        },\n        {\n            \"value\": \"29.8\",\n            \"timestamp\": 1667202240000\n        },\n        {\n            \"value\": \"29.8\",\n            \"timestamp\": 1667203140000\n        },\n        {\n            \"value\": \"29.8\",\n            \"timestamp\": 1667204040000\n        },\n        {\n            \"value\": \"29.8\",\n            \"timestamp\": 1667204940000\n        },\n        {\n            \"value\": \"29.8\",\n            \"timestamp\": 1667205840000\n        },\n        {\n            \"value\": \"29.8\",\n            \"timestamp\": 1667206740000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667207640000\n        },\n        {\n            \"value\": \"29.8\",\n            \"timestamp\": 1667208540000\n        },\n        {\n            \"value\": \"29.64\",\n            \"timestamp\": 1667209440000\n        },\n        {\n            \"value\": \"29.8\",\n            \"timestamp\": 1667210340000\n        },\n        {\n            \"value\": \"29.64\",\n            \"timestamp\": 1667211240000\n        },\n        {\n            \"value\": \"29.64\",\n            \"timestamp\": 1667212140000\n        },\n        {\n            \"value\": \"29.64\",\n            \"timestamp\": 1667213040000\n        },\n        {\n            \"value\": \"29.48\",\n            \"timestamp\": 1667213940000\n        },\n        {\n            \"value\": \"29.48\",\n            \"timestamp\": 1667214840000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667215740000\n        },\n        {\n            \"value\": \"32.54\",\n            \"timestamp\": 1667216640000\n        },\n        {\n            \"value\": \"33.03\",\n            \"timestamp\": 1667217540000\n        },\n        {\n            \"value\": \"33.19\",\n            \"timestamp\": 1667218440000\n        },\n        {\n            \"value\": \"32.54\",\n            \"timestamp\": 1667219340000\n        },\n        {\n            \"value\": \"32.22\",\n            \"timestamp\": 1667220240000\n        },\n        {\n            \"value\": \"32.06\",\n            \"timestamp\": 1667221140000\n        },\n        {\n            \"value\": \"31.9\",\n            \"timestamp\": 1667222040000\n        },\n        {\n            \"value\": \"31.74\",\n            \"timestamp\": 1667222940000\n        },\n        {\n            \"value\": \"31.58\",\n            \"timestamp\": 1667223840000\n        },\n        {\n            \"value\": \"31.58\",\n            \"timestamp\": 1667224740000\n        },\n        {\n            \"value\": \"31.58\",\n            \"timestamp\": 1667225640000\n        },\n        {\n            \"value\": \"32.06\",\n            \"timestamp\": 1667226540000\n        },\n        {\n            \"value\": \"31.42\",\n            \"timestamp\": 1667227440000\n        },\n        {\n            \"value\": \"31.58\",\n            \"timestamp\": 1667228340000\n        },\n        {\n            \"value\": \"31.9\",\n            \"timestamp\": 1667229240000\n        },\n        {\n            \"value\": \"31.25\",\n            \"timestamp\": 1667230140000\n        },\n        {\n            \"value\": \"31.25\",\n            \"timestamp\": 1667231040000\n        },\n        {\n            \"value\": \"31.25\",\n            \"timestamp\": 1667231940000\n        },\n        {\n            \"value\": \"31.25\",\n            \"timestamp\": 1667232840000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667233740000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667234640000\n        },\n        {\n            \"value\": \"31.25\",\n            \"timestamp\": 1667235540000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667236440000\n        },\n        {\n            \"value\": \"31.42\",\n            \"timestamp\": 1667237340000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667238240000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667239140000\n        },\n        {\n            \"value\": \"31.58\",\n            \"timestamp\": 1667240040000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667240940000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667241840000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667242740000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667243640000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667244540000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667245440000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667246340000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667247240000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667248140000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667249040000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667249940000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667250840000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667251740000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667252640000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667253540000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667254440000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667255340000\n        },\n        {\n            \"value\": \"31.25\",\n            \"timestamp\": 1667256240000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667257140000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667258040000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667258940000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667259840000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667260740000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667261640000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667262540000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667263440000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667264340000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667265240000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667266140000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667267040000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667267940000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667268840000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667269740000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667270640000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667271540000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667272440000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667273340000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667274240000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667275140000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667276040000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667276940000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667277840000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667278740000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667279640000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667280540000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667281440000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667282340000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667283240000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667284140000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667285040000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667285940000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667286840000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667287740000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667288640000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667289540000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667290440000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667291340000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667292240000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667293140000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667294040000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667294940000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667295840000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667296740000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667297640000\n        },\n        {\n            \"value\": \"29.97\",\n            \"timestamp\": 1667298540000\n        },\n        {\n            \"value\": \"29.97\",\n            \"timestamp\": 1667299440000\n        },\n        {\n            \"value\": \"29.97\",\n            \"timestamp\": 1667300340000\n        },\n        {\n            \"value\": \"29.97\",\n            \"timestamp\": 1667301240000\n        },\n        {\n            \"value\": \"29.8\",\n            \"timestamp\": 1667302140000\n        },\n        {\n            \"value\": \"29.48\",\n            \"timestamp\": 1667303040000\n        },\n        {\n            \"value\": \"29.64\",\n            \"timestamp\": 1667303940000\n        },\n        {\n            \"value\": \"29.48\",\n            \"timestamp\": 1667304840000\n        },\n        {\n            \"value\": \"29.32\",\n            \"timestamp\": 1667305740000\n        },\n        {\n            \"value\": \"29.32\",\n            \"timestamp\": 1667306640000\n        },\n        {\n            \"value\": \"29.32\",\n            \"timestamp\": 1667307540000\n        },\n        {\n            \"value\": \"29.16\",\n            \"timestamp\": 1667308440000\n        },\n        {\n            \"value\": \"29.32\",\n            \"timestamp\": 1667309340000\n        },\n        {\n            \"value\": \"29.16\",\n            \"timestamp\": 1667310240000\n        },\n        {\n            \"value\": \"29.16\",\n            \"timestamp\": 1667311140000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667312040000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667312940000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667313840000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667314740000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667315640000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667316540000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667317440000\n        },\n        {\n            \"value\": \"28.68\",\n            \"timestamp\": 1667318340000\n        },\n        {\n            \"value\": \"28.68\",\n            \"timestamp\": 1667319240000\n        },\n        {\n            \"value\": \"28.68\",\n            \"timestamp\": 1667320140000\n        },\n        {\n            \"value\": \"28.52\",\n            \"timestamp\": 1667321040000\n        },\n        {\n            \"value\": \"28.68\",\n            \"timestamp\": 1667321940000\n        },\n        {\n            \"value\": \"28.68\",\n            \"timestamp\": 1667322840000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667323740000\n        },\n        {\n            \"value\": \"28.52\",\n            \"timestamp\": 1667324640000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667325540000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667326440000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667327340000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667328240000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667329140000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667330040000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667330940000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667331840000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667332740000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667333640000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667334540000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667335440000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667336340000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667337240000\n        },\n        {\n            \"value\": \"29.32\",\n            \"timestamp\": 1667338140000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667339040000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667339940000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667340840000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667341740000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667342640000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667343540000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667344440000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667345340000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667346240000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667347140000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667348040000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667348940000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667349840000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667350740000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667351640000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667352540000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667353440000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667354340000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667355240000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667356140000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667357040000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667357940000\n        },\n        {\n            \"value\": \"29.16\",\n            \"timestamp\": 1667358840000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667359740000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667360640000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667361540000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667362440000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667363340000\n        },\n        {\n            \"value\": \"29.32\",\n            \"timestamp\": 1667364240000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667365140000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667366040000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667366940000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667367840000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667368740000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667369640000\n        },\n        {\n            \"value\": \"29.16\",\n            \"timestamp\": 1667370540000\n        },\n        {\n            \"value\": \"28.68\",\n            \"timestamp\": 1667371440000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667372340000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667373240000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667374140000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667375040000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667375940000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667376840000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667377740000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667378640000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667379540000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667380440000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667381340000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667382240000\n        },\n        {\n            \"value\": \"28.68\",\n            \"timestamp\": 1667383140000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667384040000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667384940000\n        },\n        {\n            \"value\": \"28.68\",\n            \"timestamp\": 1667385840000\n        },\n        {\n            \"value\": \"28.52\",\n            \"timestamp\": 1667386740000\n        },\n        {\n            \"value\": \"28.52\",\n            \"timestamp\": 1667387640000\n        },\n        {\n            \"value\": \"28.68\",\n            \"timestamp\": 1667388540000\n        },\n        {\n            \"value\": \"28.35\",\n            \"timestamp\": 1667389440000\n        },\n        {\n            \"value\": \"28.68\",\n            \"timestamp\": 1667390340000\n        },\n        {\n            \"value\": \"28.35\",\n            \"timestamp\": 1667391240000\n        },\n        {\n            \"value\": \"28.35\",\n            \"timestamp\": 1667392140000\n        },\n        {\n            \"value\": \"28.35\",\n            \"timestamp\": 1667393040000\n        },\n        {\n            \"value\": \"28.35\",\n            \"timestamp\": 1667393940000\n        },\n        {\n            \"value\": \"28.35\",\n            \"timestamp\": 1667394840000\n        },\n        {\n            \"value\": \"28.19\",\n            \"timestamp\": 1667395740000\n        },\n        {\n            \"value\": \"28.19\",\n            \"timestamp\": 1667396640000\n        },\n        {\n            \"value\": \"28.03\",\n            \"timestamp\": 1667397540000\n        },\n        {\n            \"value\": \"28.03\",\n            \"timestamp\": 1667398440000\n        },\n        {\n            \"value\": \"28.03\",\n            \"timestamp\": 1667399340000\n        },\n        {\n            \"value\": \"28.19\",\n            \"timestamp\": 1667400240000\n        },\n        {\n            \"value\": \"27.87\",\n            \"timestamp\": 1667401140000\n        },\n        {\n            \"value\": \"27.87\",\n            \"timestamp\": 1667402040000\n        },\n        {\n            \"value\": \"29.32\",\n            \"timestamp\": 1667402940000\n        },\n        {\n            \"value\": \"31.74\",\n            \"timestamp\": 1667403840000\n        },\n        {\n            \"value\": \"32.22\",\n            \"timestamp\": 1667404740000\n        },\n        {\n            \"value\": \"32.54\",\n            \"timestamp\": 1667405640000\n        },\n        {\n            \"value\": \"32.22\",\n            \"timestamp\": 1667406540000\n        },\n        {\n            \"value\": \"31.9\",\n            \"timestamp\": 1667407440000\n        },\n        {\n            \"value\": \"31.9\",\n            \"timestamp\": 1667408340000\n        },\n        {\n            \"value\": \"32.06\",\n            \"timestamp\": 1667409240000\n        },\n        {\n            \"value\": \"31.9\",\n            \"timestamp\": 1667410140000\n        },\n        {\n            \"value\": \"31.74\",\n            \"timestamp\": 1667411040000\n        },\n        {\n            \"value\": \"31.9\",\n            \"timestamp\": 1667411940000\n        },\n        {\n            \"value\": \"31.9\",\n            \"timestamp\": 1667412840000\n        },\n        {\n            \"value\": \"31.74\",\n            \"timestamp\": 1667413740000\n        },\n        {\n            \"value\": \"31.74\",\n            \"timestamp\": 1667414640000\n        },\n        {\n            \"value\": \"31.58\",\n            \"timestamp\": 1667415540000\n        },\n        {\n            \"value\": \"31.42\",\n            \"timestamp\": 1667416440000\n        },\n        {\n            \"value\": \"31.58\",\n            \"timestamp\": 1667417340000\n        },\n        {\n            \"value\": \"31.58\",\n            \"timestamp\": 1667418240000\n        },\n        {\n            \"value\": \"31.74\",\n            \"timestamp\": 1667419140000\n        },\n        {\n            \"value\": \"31.74\",\n            \"timestamp\": 1667420040000\n        },\n        {\n            \"value\": \"31.25\",\n            \"timestamp\": 1667420940000\n        },\n        {\n            \"value\": \"31.25\",\n            \"timestamp\": 1667421840000\n        },\n        {\n            \"value\": \"31.25\",\n            \"timestamp\": 1667422740000\n        },\n        {\n            \"value\": \"31.25\",\n            \"timestamp\": 1667423640000\n        },\n        {\n            \"value\": \"31.25\",\n            \"timestamp\": 1667424540000\n        },\n        {\n            \"value\": \"31.25\",\n            \"timestamp\": 1667425440000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667426340000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667427240000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667428140000\n        },\n        {\n            \"value\": \"31.42\",\n            \"timestamp\": 1667429040000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667429940000\n        },\n        {\n            \"value\": \"31.25\",\n            \"timestamp\": 1667430840000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667431740000\n        },\n        {\n            \"value\": \"31.58\",\n            \"timestamp\": 1667432640000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667433540000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667434440000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667435340000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667436240000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667437140000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667438040000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667438940000\n        },\n        {\n            \"value\": \"31.09\",\n            \"timestamp\": 1667439840000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667440740000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667441640000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667442540000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667443440000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667444340000\n        },\n        {\n            \"value\": \"31.25\",\n            \"timestamp\": 1667445240000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667446140000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667447040000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667447940000\n        },\n        {\n            \"value\": \"30.93\",\n            \"timestamp\": 1667448840000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667449740000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667450640000\n        },\n        {\n            \"value\": \"31.25\",\n            \"timestamp\": 1667451540000\n        },\n        {\n            \"value\": \"30.77\",\n            \"timestamp\": 1667452440000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667453340000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667454240000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667455140000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667456040000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667456940000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667457840000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667458740000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667459640000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667460540000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667461440000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667462340000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667463240000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667464140000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667465040000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667465940000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667466840000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667467740000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667468640000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667469540000\n        },\n        {\n            \"value\": \"30.45\",\n            \"timestamp\": 1667470440000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667471340000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667472240000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667473140000\n        },\n        {\n            \"value\": \"30.29\",\n            \"timestamp\": 1667474040000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667474940000\n        },\n        {\n            \"value\": \"30.61\",\n            \"timestamp\": 1667475840000\n        },\n        {\n            \"value\": \"30.13\",\n            \"timestamp\": 1667476740000\n        },\n        {\n            \"value\": \"29.8\",\n            \"timestamp\": 1667477640000\n        },\n        {\n            \"value\": \"29.64\",\n            \"timestamp\": 1667478540000\n        },\n        {\n            \"value\": \"29.64\",\n            \"timestamp\": 1667479440000\n        },\n        {\n            \"value\": \"29.32\",\n            \"timestamp\": 1667480340000\n        },\n        {\n            \"value\": \"29.48\",\n            \"timestamp\": 1667481240000\n        },\n        {\n            \"value\": \"29.16\",\n            \"timestamp\": 1667482140000\n        },\n        {\n            \"value\": \"29.16\",\n            \"timestamp\": 1667483040000\n        },\n        {\n            \"value\": \"29.16\",\n            \"timestamp\": 1667483940000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667484840000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667485740000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667486640000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667487540000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667488440000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667489340000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667490240000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667491140000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667492040000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667492940000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667493840000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667494740000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667495640000\n        },\n        {\n            \"value\": \"29.16\",\n            \"timestamp\": 1667496540000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667497440000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667498340000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667499240000\n        },\n        {\n            \"value\": \"29.16\",\n            \"timestamp\": 1667500140000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667501040000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667501940000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667502840000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667503740000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667504640000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667505540000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667506440000\n        },\n        {\n            \"value\": \"29.16\",\n            \"timestamp\": 1667507340000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667508240000\n        },\n        {\n            \"value\": \"29.16\",\n            \"timestamp\": 1667509140000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667510040000\n        },\n        {\n            \"value\": \"29.32\",\n            \"timestamp\": 1667510940000\n        },\n        {\n            \"value\": \"29.16\",\n            \"timestamp\": 1667511840000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667512740000\n        },\n        {\n            \"value\": \"29.16\",\n            \"timestamp\": 1667513640000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667514540000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667515440000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667516340000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667517240000\n        },\n        {\n            \"value\": \"28.84\",\n            \"timestamp\": 1667518140000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667519040000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667519940000\n        },\n        {\n            \"value\": \"29.48\",\n            \"timestamp\": 1667520840000\n        },\n        {\n            \"value\": \"29.16\",\n            \"timestamp\": 1667521740000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667522640000\n        },\n        {\n            \"value\": \"29.0\",\n            \"timestamp\": 1667523540000\n        }\n    ]\n}"}],"_postman_id":"0f57fbc8-a5b1-4321-ae91-dc246ddd9824"}],"id":"971a428e-318a-4a1d-8438-62e07b87b698","description":"<p>Endpoints for reading sensor data from devices and information generated by the Qampo platform, specifically the variables published by the particular station.</p>\n<blockquote>\n<p>To retrieve a specific sensor(s) it is necessary to indicate the sensor(s) label(s). The device labels can be consulted from the 'Devices' endpoint, consulting the 'publishedVariables.label' parameter of each variable published by the device. </p>\n</blockquote>\n<p>Device data is returned as a list of <code>dot</code> objects, each <code>dot</code> is an object with a numeric value and a timestamp in milliseconds. For convenience, the timestamp is in the time zone of the station.</p>\n<p><strong><code>dot</code></strong> <strong>example</strong></p>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">{\n    \"value\": \"10.33\",\n    \"timestamp\": 1664755260000\n}\n\n</code></pre>\n","_postman_id":"971a428e-318a-4a1d-8438-62e07b87b698","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"<value>"}]},"isInherited":true,"source":{"_postman_id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","name":"Api Qampo EN","type":"collection"}}},{"name":"Weather forecast","item":[{"name":"newLocation","id":"d2cbb026-ee18-4067-b05f-cd2ff518f276","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"https://api.qampo.es/apiv2/api/newLocation","description":"<p>Register a new location coordinates for sign up the location in the weather forecast service.</p>\n<blockquote>\n<p>The response object include the <code>id</code> identifier of the location that will be necessary to request the forecast.</p>\n</blockquote>\n","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"<value>"}]},"isInherited":true,"source":{"_postman_id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","name":"Api Qampo EN","type":"collection"}},"urlObject":{"protocol":"https","path":["apiv2","api","newLocation"],"host":["api","qampo","es"],"query":[{"disabled":true,"description":{"content":"<p>(Required) Location name.</p>\n","type":"text/plain"},"key":"name","value":""},{"disabled":true,"description":{"content":"<p>(Required) Location latitude. [Decimal degrees]</p>\n","type":"text/plain"},"key":"lat","value":""},{"disabled":true,"description":{"content":"<p>(Required) Location longitude. [Decimal degrees]</p>\n","type":"text/plain"},"key":"lon","value":""}],"variable":[]}},"response":[{"id":"5b23e3d5-147d-415b-bea3-7bac779143de","name":"New Location example","originalRequest":{"method":"GET","header":[],"url":{"raw":"https://api.qampo.es/apiv2/api/newLocation?name=Test name&lat=41.64&lon=-4.72","protocol":"https","host":["api","qampo","es"],"path":["apiv2","api","newLocation"],"query":[{"key":"name","value":"Test name","description":"(Required) Location latitude name."},{"key":"lat","value":"41.64","description":"(Required) Location latitude. [Decimal degrees]"},{"key":"lon","value":"-4.72","description":"(Required) Location longitude. [Decimal degrees]"}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json;charset=UTF-8"},{"key":"Content-Length","value":"52"},{"key":"Date","value":"Tue, 04 Oct 2022 14:08:53 GMT"},{"key":"Keep-Alive","value":"timeout=60"},{"key":"Connection","value":"keep-alive"},{"key":"apikey","value":"my-apikey","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n    \"id\": 12,\n    \"name\": \"Test name\",\n    \"lat\": 41.64,\n    \"lon\": -4.72\n}"}],"_postman_id":"d2cbb026-ee18-4067-b05f-cd2ff518f276"},{"name":"getForecast","id":"1e79959c-0608-48cc-b4cf-d7c5881029f0","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"https://api.qampo.es/apiv2/api/getForecast","description":"<p>Returns 4 days of weather forecast for a registered location.</p>\n<p><strong>Response</strong></p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th><strong>Parámetro</strong></th>\n<th><strong>Unidades</strong></th>\n<th><strong>Descripción</strong></th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>summary</code></td>\n<td>Object</td>\n<td>4-day forecast summary.</td>\n</tr>\n<tr>\n<td><code>summary.et_accumulated</code></td>\n<td>mm</td>\n<td>Accumulated ETo.</td>\n</tr>\n<tr>\n<td><code>summary.etaverage</code></td>\n<td>mm</td>\n<td>Average ETo.</td>\n</tr>\n<tr>\n<td><code>summary.tempmax</code></td>\n<td>ºC</td>\n<td>Maximum temperature.</td>\n</tr>\n<tr>\n<td><code>summary.tempmin</code></td>\n<td>ºC</td>\n<td>Minimum temperature.</td>\n</tr>\n<tr>\n<td><code>summary.rain_accumulated</code></td>\n<td>mm</td>\n<td>Accumulated rain</td>\n</tr>\n<tr>\n<td><code>summary.cold</code></td>\n<td>hours</td>\n<td>Cold hours.</td>\n</tr>\n<tr>\n<td><code>summary.frozenhours</code></td>\n<td>hours</td>\n<td>Frozen hours.</td>\n</tr>\n<tr>\n<td><code>summary.term</code></td>\n<td>ºC/day</td>\n<td>Thermal integral.</td>\n</tr>\n<tr>\n<td><code>summary.dynamicrain</code></td>\n<td>\"LMX\"</td>\n<td>Days with rain.</td>\n</tr>\n<tr>\n<td><code>summary.wind</code></td>\n<td>km/h</td>\n<td>Average wind.</td>\n</tr>\n<tr>\n<td><code>summary.gust</code></td>\n<td>km/h</td>\n<td>Gust wind</td>\n</tr>\n<tr>\n<td><code>summary.jsonDailyGust</code></td>\n<td>JSONObject  <br /></td>\n<td>Daily gust wind summary.</td>\n</tr>\n<tr>\n<td><code>days</code></td>\n<td>Object</td>\n<td>Forecast values of a calendar day.</td>\n</tr>\n<tr>\n<td><code>days.temp_values</code></td>\n<td>ºC</td>\n<td>Temperature values.</td>\n</tr>\n<tr>\n<td><code>days.temp_max</code></td>\n<td>ºC</td>\n<td>Maximum temperature.</td>\n</tr>\n<tr>\n<td><code>days.temp_min</code></td>\n<td>ºC</td>\n<td>Minimum temperature.</td>\n</tr>\n<tr>\n<td><code>days.temp_avg</code></td>\n<td>ºC</td>\n<td>Average temperature.</td>\n</tr>\n<tr>\n<td><code>days.hum_values</code></td>\n<td>%</td>\n<td>Humidity values.</td>\n</tr>\n<tr>\n<td><code>days.hum_max</code></td>\n<td>%</td>\n<td>Maximum humidity.</td>\n</tr>\n<tr>\n<td><code>days.hum_min</code></td>\n<td>%</td>\n<td>Minimum humidity.</td>\n</tr>\n<tr>\n<td><code>days.hum_avg</code></td>\n<td>%</td>\n<td>Average humidity.</td>\n</tr>\n<tr>\n<td><code>days.wind_avg</code></td>\n<td>km/h</td>\n<td>Average wind.</td>\n</tr>\n<tr>\n<td><code>days.wind_values</code></td>\n<td>km/h</td>\n<td>Wind values.</td>\n</tr>\n<tr>\n<td><code>days.wind_direction</code></td>\n<td>0-360º</td>\n<td>Wind direction.</td>\n</tr>\n<tr>\n<td><code>days.gust_max</code></td>\n<td>km/h</td>\n<td>Maximum gust.</td>\n</tr>\n<tr>\n<td><code>days.gust_min</code></td>\n<td>km/h</td>\n<td>Minimum gust.</td>\n</tr>\n<tr>\n<td><code>days.gust_avg</code></td>\n<td>km/h</td>\n<td>Average gust.</td>\n</tr>\n<tr>\n<td><code>days.gust_values</code></td>\n<td>km/h</td>\n<td>Gust wind values.</td>\n</tr>\n<tr>\n<td><code>days.rain_sum</code></td>\n<td>mm</td>\n<td>Accumulated rain.</td>\n</tr>\n<tr>\n<td><code>days.rain_values</code></td>\n<td>mm</td>\n<td>Rain values (Only if there are any)</td>\n</tr>\n<tr>\n<td><code>days.rain_prob</code></td>\n<td>%</td>\n<td>Rain probability.</td>\n</tr>\n<tr>\n<td><code>days.clouds_values</code></td>\n<td>%</td>\n<td>Cloudness values</td>\n</tr>\n<tr>\n<td><code>days.clouds_avg</code></td>\n<td>%</td>\n<td>Average cloudness.</td>\n</tr>\n<tr>\n<td><code>days.cold_hours</code></td>\n<td>horas</td>\n<td>Cold hours.</td>\n</tr>\n<tr>\n<td><code>days.frozen_hours</code></td>\n<td>horas</td>\n<td>Frozen hours.</td>\n</tr>\n<tr>\n<td><code>days.integral</code></td>\n<td>ºC/día</td>\n<td>Thermal integral.</td>\n</tr>\n<tr>\n<td><code>days.eto</code></td>\n<td>mm</td>\n<td>Eto.</td>\n</tr>\n<tr>\n<td><code>days.dayOfWeek</code></td>\n<td>\"V\"</td>\n<td>Day of the week.</td>\n</tr>\n<tr>\n<td><code>days.day</code></td>\n<td>YYYY-MM-dd</td>\n<td>Date.</td>\n</tr>\n</tbody>\n</table>\n</div>","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"<value>"}]},"isInherited":true,"source":{"_postman_id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","name":"Api Qampo EN","type":"collection"}},"urlObject":{"protocol":"https","path":["apiv2","api","getForecast"],"host":["api","qampo","es"],"query":[{"disabled":true,"description":{"content":"<p>(Required) Location identifier.</p>\n","type":"text/plain"},"key":"idLocation","value":""},{"disabled":true,"description":{"content":"<p>(Optional) Language.</p>\n","type":"text/plain"},"key":"lang","value":"\n"}],"variable":[]}},"response":[{"id":"5c9d50f2-3e30-4fde-98fd-dca407083b10","name":"Example of prediction data.","originalRequest":{"method":"GET","header":[{"key":"apikey","value":"my-apikey","type":"text"}],"url":{"raw":"https://api.qampo.es/apiv2/api/getForecast?idLocation=9&lang=EN","protocol":"https","host":["api","qampo","es"],"path":["apiv2","api","getForecast"],"query":[{"key":"idLocation","value":"9","description":"(Required) Location identifier."},{"key":"lang","value":"EN","description":"Optional) Language. "}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json"},{"key":"Content-Length","value":"27546"},{"key":"Date","value":"Tue, 04 Oct 2022 14:13:36 GMT"},{"key":"Keep-Alive","value":"timeout=60"},{"key":"Connection","value":"keep-alive"},{"key":"apikey","value":"my-apikey","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n    \"summary\": {\n        \"et_accumulated\": 15.37,\n        \"etaverage\": 3.07,\n        \"tempmax\": 19.16,\n        \"tempmin\": 3.02,\n        \"rain_accumulated\": 1.11,\n        \"cold\": 11,\n        \"frozenhours\": 0,\n        \"term\": 7.23,\n        \"dynamicrain\": \"TuFSa\",\n        \"wind\": 30.12,\n        \"gust\": 190.01,\n        \"jsonDailyGust\": \"{\\\"Tu\\\":\\\"44.06 km/h\\\",\\\"Th\\\":\\\"62.6 km/h\\\",\\\"F\\\":\\\"106.27 km/h\\\",\\\"W\\\":\\\"71.28 km/h\\\",\\\"Sa\\\":\\\"190.01 km/h\\\"}\"\n    },\n    \"days\": [\n        {\n            \"temp_values\": [\n                {\n                    \"value\": \"7.53\",\n                    \"timestamp\": 1664881200\n                },\n                {\n                    \"value\": \"8.16\",\n                    \"timestamp\": 1664884800\n                },\n                {\n                    \"value\": \"9.59\",\n                    \"timestamp\": 1664888400\n                },\n                {\n                    \"value\": \"11.54\",\n                    \"timestamp\": 1664892000\n                },\n                {\n                    \"value\": \"13.99\",\n                    \"timestamp\": 1664895600\n                },\n                {\n                    \"value\": \"14.97\",\n                    \"timestamp\": 1664899200\n                },\n                {\n                    \"value\": \"15.26\",\n                    \"timestamp\": 1664902800\n                },\n                {\n                    \"value\": \"14.77\",\n                    \"timestamp\": 1664906400\n                },\n                {\n                    \"value\": \"13.34\",\n                    \"timestamp\": 1664910000\n                },\n                {\n                    \"value\": \"12.04\",\n                    \"timestamp\": 1664913600\n                },\n                {\n                    \"value\": \"12.45\",\n                    \"timestamp\": 1664917200\n                },\n                {\n                    \"value\": \"12.53\",\n                    \"timestamp\": 1664920800\n                },\n                {\n                    \"value\": \"10.76\",\n                    \"timestamp\": 1664924400\n                }\n            ],\n            \"temp_max\": 15.26,\n            \"temp_min\": 7.53,\n            \"temp_avg\": 12.07,\n            \"hum_values\": [\n                {\n                    \"value\": \"87.0\",\n                    \"timestamp\": 1664881200\n                },\n                {\n                    \"value\": \"84.0\",\n                    \"timestamp\": 1664884800\n                },\n                {\n                    \"value\": \"78.0\",\n                    \"timestamp\": 1664888400\n                },\n                {\n                    \"value\": \"70.0\",\n                    \"timestamp\": 1664892000\n                },\n                {\n                    \"value\": \"60.0\",\n                    \"timestamp\": 1664895600\n                },\n                {\n                    \"value\": \"58.0\",\n                    \"timestamp\": 1664899200\n                },\n                {\n                    \"value\": \"58.0\",\n                    \"timestamp\": 1664902800\n                },\n                {\n                    \"value\": \"62.0\",\n                    \"timestamp\": 1664906400\n                },\n                {\n                    \"value\": \"72.0\",\n                    \"timestamp\": 1664910000\n                },\n                {\n                    \"value\": \"82.0\",\n                    \"timestamp\": 1664913600\n                },\n                {\n                    \"value\": \"80.0\",\n                    \"timestamp\": 1664917200\n                },\n                {\n                    \"value\": \"81.0\",\n                    \"timestamp\": 1664920800\n                },\n                {\n                    \"value\": \"87.0\",\n                    \"timestamp\": 1664924400\n                }\n            ],\n            \"hum_max\": 87,\n            \"hum_min\": 58,\n            \"hum_avg\": 73.77,\n            \"wind_avg\": 7.45,\n            \"wind_values\": [\n                {\n                    \"value\": \"3.78\",\n                    \"timestamp\": 1664881200\n                },\n                {\n                    \"value\": \"5.22\",\n                    \"timestamp\": 1664884800\n                },\n                {\n                    \"value\": \"5.04\",\n                    \"timestamp\": 1664888400\n                },\n                {\n                    \"value\": \"3.85\",\n                    \"timestamp\": 1664892000\n                },\n                {\n                    \"value\": \"7.85\",\n                    \"timestamp\": 1664895600\n                },\n                {\n                    \"value\": \"8.71\",\n                    \"timestamp\": 1664899200\n                },\n                {\n                    \"value\": \"11.34\",\n                    \"timestamp\": 1664902800\n                },\n                {\n                    \"value\": \"11.84\",\n                    \"timestamp\": 1664906400\n                },\n                {\n                    \"value\": \"11.95\",\n                    \"timestamp\": 1664910000\n                },\n                {\n                    \"value\": \"7.67\",\n                    \"timestamp\": 1664913600\n                },\n                {\n                    \"value\": \"6.59\",\n                    \"timestamp\": 1664917200\n                },\n                {\n                    \"value\": \"6.62\",\n                    \"timestamp\": 1664920800\n                },\n                {\n                    \"value\": \"6.37\",\n                    \"timestamp\": 1664924400\n                }\n            ],\n            \"wind_direction\": [\n                {\n                    \"value\": \"27\",\n                    \"timestamp\": 1664881200\n                },\n                {\n                    \"value\": \"39\",\n                    \"timestamp\": 1664884800\n                },\n                {\n                    \"value\": \"334\",\n                    \"timestamp\": 1664888400\n                },\n                {\n                    \"value\": \"200\",\n                    \"timestamp\": 1664892000\n                },\n                {\n                    \"value\": \"207\",\n                    \"timestamp\": 1664895600\n                },\n                {\n                    \"value\": \"192\",\n                    \"timestamp\": 1664899200\n                },\n                {\n                    \"value\": \"195\",\n                    \"timestamp\": 1664902800\n                },\n                {\n                    \"value\": \"220\",\n                    \"timestamp\": 1664906400\n                },\n                {\n                    \"value\": \"247\",\n                    \"timestamp\": 1664910000\n                },\n                {\n                    \"value\": \"242\",\n                    \"timestamp\": 1664913600\n                },\n                {\n                    \"value\": \"210\",\n                    \"timestamp\": 1664917200\n                },\n                {\n                    \"value\": \"224\",\n                    \"timestamp\": 1664920800\n                },\n                {\n                    \"value\": \"222\",\n                    \"timestamp\": 1664924400\n                }\n            ],\n            \"gust_max\": 12.24,\n            \"gust_min\": 4,\n            \"gust_avg\": 7.81,\n            \"gust_values\": [\n                {\n                    \"value\": \"87.0\",\n                    \"timestamp\": 1664881200\n                },\n                {\n                    \"value\": \"84.0\",\n                    \"timestamp\": 1664884800\n                },\n                {\n                    \"value\": \"78.0\",\n                    \"timestamp\": 1664888400\n                },\n                {\n                    \"value\": \"70.0\",\n                    \"timestamp\": 1664892000\n                },\n                {\n                    \"value\": \"60.0\",\n                    \"timestamp\": 1664895600\n                },\n                {\n                    \"value\": \"58.0\",\n                    \"timestamp\": 1664899200\n                },\n                {\n                    \"value\": \"58.0\",\n                    \"timestamp\": 1664902800\n                },\n                {\n                    \"value\": \"62.0\",\n                    \"timestamp\": 1664906400\n                },\n                {\n                    \"value\": \"72.0\",\n                    \"timestamp\": 1664910000\n                },\n                {\n                    \"value\": \"82.0\",\n                    \"timestamp\": 1664913600\n                },\n                {\n                    \"value\": \"80.0\",\n                    \"timestamp\": 1664917200\n                },\n                {\n                    \"value\": \"81.0\",\n                    \"timestamp\": 1664920800\n                },\n                {\n                    \"value\": \"87.0\",\n                    \"timestamp\": 1664924400\n                }\n            ],\n            \"rain_sum\": 0.63,\n            \"rain_values\": [\n                {\n                    \"value\": \"0.14\",\n                    \"timestamp\": 1664910000\n                },\n                {\n                    \"value\": \"null\"\n                },\n                {\n                    \"value\": \"0.34\",\n                    \"timestamp\": 1664913600\n                },\n                {\n                    \"value\": \"0.15\",\n                    \"timestamp\": 1664917200\n                }\n            ],\n            \"rain_prob\": [\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664881200\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664884800\n                },\n                {\n                    \"value\": \"0.09\",\n                    \"timestamp\": 1664888400\n                },\n                {\n                    \"value\": \"0.13\",\n                    \"timestamp\": 1664892000\n                },\n                {\n                    \"value\": \"0.16\",\n                    \"timestamp\": 1664895600\n                },\n                {\n                    \"value\": \"0.2\",\n                    \"timestamp\": 1664899200\n                },\n                {\n                    \"value\": \"0.25\",\n                    \"timestamp\": 1664902800\n                },\n                {\n                    \"value\": \"0.35\",\n                    \"timestamp\": 1664906400\n                },\n                {\n                    \"value\": \"0.38\",\n                    \"timestamp\": 1664910000\n                },\n                {\n                    \"value\": \"0.37\",\n                    \"timestamp\": 1664913600\n                },\n                {\n                    \"value\": \"0.36\",\n                    \"timestamp\": 1664917200\n                },\n                {\n                    \"value\": \"0.3\",\n                    \"timestamp\": 1664920800\n                },\n                {\n                    \"value\": \"0.28\",\n                    \"timestamp\": 1664924400\n                }\n            ],\n            \"clouds_values\": [\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1664881200\n                },\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1664884800\n                },\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1664888400\n                },\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1664892000\n                },\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1664895600\n                },\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1664899200\n                },\n                {\n                    \"value\": \"99\",\n                    \"timestamp\": 1664902800\n                },\n                {\n                    \"value\": \"99\",\n                    \"timestamp\": 1664906400\n                },\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1664910000\n                },\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1664913600\n                },\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1664920800\n                },\n                {\n                    \"value\": \"null\"\n                },\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1664917200\n                }\n            ],\n            \"clouds_avg\": 99.83,\n            \"cold_hours\": 0,\n            \"frozen_hours\": 0,\n            \"integral\": 31.65,\n            \"eto\": 3.08,\n            \"dayOfWeek\": \"Tu\",\n            \"day\": \"2022-10-04\"\n        },\n        {\n            \"temp_values\": [\n                {\n                    \"value\": \"9.78\",\n                    \"timestamp\": 1664928000\n                },\n                {\n                    \"value\": \"8.97\",\n                    \"timestamp\": 1664931600\n                },\n                {\n                    \"value\": \"8.36\",\n                    \"timestamp\": 1664935200\n                },\n                {\n                    \"value\": \"7.89\",\n                    \"timestamp\": 1664938800\n                },\n                {\n                    \"value\": \"7.45\",\n                    \"timestamp\": 1664942400\n                },\n                {\n                    \"value\": \"7.08\",\n                    \"timestamp\": 1664946000\n                },\n                {\n                    \"value\": \"6.72\",\n                    \"timestamp\": 1664949600\n                },\n                {\n                    \"value\": \"6.47\",\n                    \"timestamp\": 1664953200\n                },\n                {\n                    \"value\": \"6.2\",\n                    \"timestamp\": 1664956800\n                },\n                {\n                    \"value\": \"5.81\",\n                    \"timestamp\": 1664960400\n                },\n                {\n                    \"value\": \"5.57\",\n                    \"timestamp\": 1664964000\n                },\n                {\n                    \"value\": \"6.4\",\n                    \"timestamp\": 1664967600\n                },\n                {\n                    \"value\": \"8.8\",\n                    \"timestamp\": 1664971200\n                },\n                {\n                    \"value\": \"11.05\",\n                    \"timestamp\": 1664974800\n                },\n                {\n                    \"value\": \"13.29\",\n                    \"timestamp\": 1664978400\n                },\n                {\n                    \"value\": \"15.39\",\n                    \"timestamp\": 1664982000\n                },\n                {\n                    \"value\": \"16.95\",\n                    \"timestamp\": 1664985600\n                },\n                {\n                    \"value\": \"17.99\",\n                    \"timestamp\": 1664989200\n                },\n                {\n                    \"value\": \"18.73\",\n                    \"timestamp\": 1664992800\n                },\n                {\n                    \"value\": \"19.16\",\n                    \"timestamp\": 1664996400\n                },\n                {\n                    \"value\": \"18.77\",\n                    \"timestamp\": 1665000000\n                },\n                {\n                    \"value\": \"17.61\",\n                    \"timestamp\": 1665003600\n                },\n                {\n                    \"value\": \"15.14\",\n                    \"timestamp\": 1665007200\n                },\n                {\n                    \"value\": \"11.58\",\n                    \"timestamp\": 1665010800\n                }\n            ],\n            \"temp_max\": 19.16,\n            \"temp_min\": 5.57,\n            \"temp_avg\": 11.3,\n            \"hum_values\": [\n                {\n                    \"value\": \"89.0\",\n                    \"timestamp\": 1664928000\n                },\n                {\n                    \"value\": \"90.0\",\n                    \"timestamp\": 1664931600\n                },\n                {\n                    \"value\": \"91.0\",\n                    \"timestamp\": 1664935200\n                },\n                {\n                    \"value\": \"92.0\",\n                    \"timestamp\": 1664938800\n                },\n                {\n                    \"value\": \"93.0\",\n                    \"timestamp\": 1664942400\n                },\n                {\n                    \"value\": \"94.0\",\n                    \"timestamp\": 1664946000\n                },\n                {\n                    \"value\": \"94.0\",\n                    \"timestamp\": 1664949600\n                },\n                {\n                    \"value\": \"94.0\",\n                    \"timestamp\": 1664953200\n                },\n                {\n                    \"value\": \"94.0\",\n                    \"timestamp\": 1664956800\n                },\n                {\n                    \"value\": \"93.0\",\n                    \"timestamp\": 1664960400\n                },\n                {\n                    \"value\": \"93.0\",\n                    \"timestamp\": 1664964000\n                },\n                {\n                    \"value\": \"93.0\",\n                    \"timestamp\": 1664967600\n                },\n                {\n                    \"value\": \"85.0\",\n                    \"timestamp\": 1664971200\n                },\n                {\n                    \"value\": \"79.0\",\n                    \"timestamp\": 1664974800\n                },\n                {\n                    \"value\": \"70.0\",\n                    \"timestamp\": 1664978400\n                },\n                {\n                    \"value\": \"62.0\",\n                    \"timestamp\": 1664982000\n                },\n                {\n                    \"value\": \"54.0\",\n                    \"timestamp\": 1664985600\n                },\n                {\n                    \"value\": \"48.0\",\n                    \"timestamp\": 1664989200\n                },\n                {\n                    \"value\": \"44.0\",\n                    \"timestamp\": 1664992800\n                },\n                {\n                    \"value\": \"43.0\",\n                    \"timestamp\": 1664996400\n                },\n                {\n                    \"value\": \"46.0\",\n                    \"timestamp\": 1665000000\n                },\n                {\n                    \"value\": \"52.0\",\n                    \"timestamp\": 1665003600\n                },\n                {\n                    \"value\": \"62.0\",\n                    \"timestamp\": 1665007200\n                },\n                {\n                    \"value\": \"68.0\",\n                    \"timestamp\": 1665010800\n                }\n            ],\n            \"hum_max\": 94,\n            \"hum_min\": 43,\n            \"hum_avg\": 75.96,\n            \"wind_avg\": 6.66,\n            \"wind_values\": [\n                {\n                    \"value\": \"5.58\",\n                    \"timestamp\": 1664928000\n                },\n                {\n                    \"value\": \"6.23\",\n                    \"timestamp\": 1664931600\n                },\n                {\n                    \"value\": \"6.7\",\n                    \"timestamp\": 1664935200\n                },\n                {\n                    \"value\": \"7.02\",\n                    \"timestamp\": 1664938800\n                },\n                {\n                    \"value\": \"7.02\",\n                    \"timestamp\": 1664942400\n                },\n                {\n                    \"value\": \"6.7\",\n                    \"timestamp\": 1664946000\n                },\n                {\n                    \"value\": \"5.62\",\n                    \"timestamp\": 1664949600\n                },\n                {\n                    \"value\": \"6.41\",\n                    \"timestamp\": 1664953200\n                },\n                {\n                    \"value\": \"5.98\",\n                    \"timestamp\": 1664956800\n                },\n                {\n                    \"value\": \"3.92\",\n                    \"timestamp\": 1664960400\n                },\n                {\n                    \"value\": \"4.79\",\n                    \"timestamp\": 1664964000\n                },\n                {\n                    \"value\": \"3.49\",\n                    \"timestamp\": 1664967600\n                },\n                {\n                    \"value\": \"4.32\",\n                    \"timestamp\": 1664971200\n                },\n                {\n                    \"value\": \"5.58\",\n                    \"timestamp\": 1664974800\n                },\n                {\n                    \"value\": \"8.14\",\n                    \"timestamp\": 1664978400\n                },\n                {\n                    \"value\": \"3.71\",\n                    \"timestamp\": 1664982000\n                },\n                {\n                    \"value\": \"4.61\",\n                    \"timestamp\": 1664985600\n                },\n                {\n                    \"value\": \"6.12\",\n                    \"timestamp\": 1664989200\n                },\n                {\n                    \"value\": \"3.92\",\n                    \"timestamp\": 1664992800\n                },\n                {\n                    \"value\": \"7.81\",\n                    \"timestamp\": 1664996400\n                },\n                {\n                    \"value\": \"11.2\",\n                    \"timestamp\": 1665000000\n                },\n                {\n                    \"value\": \"13.9\",\n                    \"timestamp\": 1665003600\n                },\n                {\n                    \"value\": \"11.52\",\n                    \"timestamp\": 1665007200\n                },\n                {\n                    \"value\": \"9.22\",\n                    \"timestamp\": 1665010800\n                }\n            ],\n            \"wind_direction\": [\n                {\n                    \"value\": \"221\",\n                    \"timestamp\": 1664928000\n                },\n                {\n                    \"value\": \"212\",\n                    \"timestamp\": 1664931600\n                },\n                {\n                    \"value\": \"205\",\n                    \"timestamp\": 1664935200\n                },\n                {\n                    \"value\": \"202\",\n                    \"timestamp\": 1664938800\n                },\n                {\n                    \"value\": \"207\",\n                    \"timestamp\": 1664942400\n                },\n                {\n                    \"value\": \"218\",\n                    \"timestamp\": 1664946000\n                },\n                {\n                    \"value\": \"228\",\n                    \"timestamp\": 1664949600\n                },\n                {\n                    \"value\": \"226\",\n                    \"timestamp\": 1664953200\n                },\n                {\n                    \"value\": \"233\",\n                    \"timestamp\": 1664956800\n                },\n                {\n                    \"value\": \"218\",\n                    \"timestamp\": 1664960400\n                },\n                {\n                    \"value\": \"202\",\n                    \"timestamp\": 1664964000\n                },\n                {\n                    \"value\": \"175\",\n                    \"timestamp\": 1664967600\n                },\n                {\n                    \"value\": \"161\",\n                    \"timestamp\": 1664971200\n                },\n                {\n                    \"value\": \"204\",\n                    \"timestamp\": 1664974800\n                },\n                {\n                    \"value\": \"203\",\n                    \"timestamp\": 1664978400\n                },\n                {\n                    \"value\": \"202\",\n                    \"timestamp\": 1664982000\n                },\n                {\n                    \"value\": \"230\",\n                    \"timestamp\": 1664985600\n                },\n                {\n                    \"value\": \"224\",\n                    \"timestamp\": 1664989200\n                },\n                {\n                    \"value\": \"224\",\n                    \"timestamp\": 1664992800\n                },\n                {\n                    \"value\": \"237\",\n                    \"timestamp\": 1664996400\n                },\n                {\n                    \"value\": \"255\",\n                    \"timestamp\": 1665000000\n                },\n                {\n                    \"value\": \"265\",\n                    \"timestamp\": 1665003600\n                },\n                {\n                    \"value\": \"256\",\n                    \"timestamp\": 1665007200\n                },\n                {\n                    \"value\": \"258\",\n                    \"timestamp\": 1665010800\n                }\n            ],\n            \"gust_max\": 19.8,\n            \"gust_min\": 4.61,\n            \"gust_avg\": 8.46,\n            \"gust_values\": [\n                {\n                    \"value\": \"89.0\",\n                    \"timestamp\": 1664928000\n                },\n                {\n                    \"value\": \"90.0\",\n                    \"timestamp\": 1664931600\n                },\n                {\n                    \"value\": \"91.0\",\n                    \"timestamp\": 1664935200\n                },\n                {\n                    \"value\": \"92.0\",\n                    \"timestamp\": 1664938800\n                },\n                {\n                    \"value\": \"93.0\",\n                    \"timestamp\": 1664942400\n                },\n                {\n                    \"value\": \"94.0\",\n                    \"timestamp\": 1664946000\n                },\n                {\n                    \"value\": \"94.0\",\n                    \"timestamp\": 1664949600\n                },\n                {\n                    \"value\": \"94.0\",\n                    \"timestamp\": 1664953200\n                },\n                {\n                    \"value\": \"94.0\",\n                    \"timestamp\": 1664956800\n                },\n                {\n                    \"value\": \"93.0\",\n                    \"timestamp\": 1664960400\n                },\n                {\n                    \"value\": \"93.0\",\n                    \"timestamp\": 1664964000\n                },\n                {\n                    \"value\": \"93.0\",\n                    \"timestamp\": 1664967600\n                },\n                {\n                    \"value\": \"85.0\",\n                    \"timestamp\": 1664971200\n                },\n                {\n                    \"value\": \"79.0\",\n                    \"timestamp\": 1664974800\n                },\n                {\n                    \"value\": \"70.0\",\n                    \"timestamp\": 1664978400\n                },\n                {\n                    \"value\": \"62.0\",\n                    \"timestamp\": 1664982000\n                },\n                {\n                    \"value\": \"54.0\",\n                    \"timestamp\": 1664985600\n                },\n                {\n                    \"value\": \"48.0\",\n                    \"timestamp\": 1664989200\n                },\n                {\n                    \"value\": \"44.0\",\n                    \"timestamp\": 1664992800\n                },\n                {\n                    \"value\": \"43.0\",\n                    \"timestamp\": 1664996400\n                },\n                {\n                    \"value\": \"46.0\",\n                    \"timestamp\": 1665000000\n                },\n                {\n                    \"value\": \"52.0\",\n                    \"timestamp\": 1665003600\n                },\n                {\n                    \"value\": \"62.0\",\n                    \"timestamp\": 1665007200\n                },\n                {\n                    \"value\": \"68.0\",\n                    \"timestamp\": 1665010800\n                }\n            ],\n            \"rain_sum\": 0,\n            \"rain_values\": [],\n            \"rain_prob\": [\n                {\n                    \"value\": \"0.24\",\n                    \"timestamp\": 1664928000\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664931600\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664935200\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664938800\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664942400\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664946000\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664949600\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664953200\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664956800\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664960400\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664964000\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664967600\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664971200\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664974800\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664978400\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664982000\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664985600\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664989200\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664992800\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1664996400\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665000000\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665003600\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665007200\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665010800\n                }\n            ],\n            \"clouds_values\": [\n                {\n                    \"value\": \"3\",\n                    \"timestamp\": 1664978400\n                },\n                {\n                    \"value\": \"3\",\n                    \"timestamp\": 1664985600\n                },\n                {\n                    \"value\": \"null\"\n                },\n                {\n                    \"value\": \"0\",\n                    \"timestamp\": 1664967600\n                },\n                {\n                    \"value\": \"0\",\n                    \"timestamp\": 1664971200\n                },\n                {\n                    \"value\": \"4\",\n                    \"timestamp\": 1664974800\n                },\n                {\n                    \"value\": \"2\",\n                    \"timestamp\": 1664982000\n                },\n                {\n                    \"value\": \"4\",\n                    \"timestamp\": 1664989200\n                },\n                {\n                    \"value\": \"18\",\n                    \"timestamp\": 1664992800\n                },\n                {\n                    \"value\": \"12\",\n                    \"timestamp\": 1664996400\n                },\n                {\n                    \"value\": \"7\",\n                    \"timestamp\": 1665000000\n                },\n                {\n                    \"value\": \"5\",\n                    \"timestamp\": 1665003600\n                },\n                {\n                    \"value\": \"5\",\n                    \"timestamp\": 1665007200\n                }\n            ],\n            \"clouds_avg\": 5.25,\n            \"cold_hours\": 6,\n            \"frozen_hours\": 0,\n            \"integral\": 65.66,\n            \"eto\": 3.18,\n            \"dayOfWeek\": \"W\",\n            \"day\": \"2022-10-05\"\n        },\n        {\n            \"temp_values\": [\n                {\n                    \"value\": \"9.75\",\n                    \"timestamp\": 1665014400\n                },\n                {\n                    \"value\": \"8.95\",\n                    \"timestamp\": 1665018000\n                },\n                {\n                    \"value\": \"8.64\",\n                    \"timestamp\": 1665021600\n                },\n                {\n                    \"value\": \"8.65\",\n                    \"timestamp\": 1665025200\n                },\n                {\n                    \"value\": \"7.55\",\n                    \"timestamp\": 1665028800\n                },\n                {\n                    \"value\": \"7.31\",\n                    \"timestamp\": 1665032400\n                },\n                {\n                    \"value\": \"8.76\",\n                    \"timestamp\": 1665036000\n                },\n                {\n                    \"value\": \"9.12\",\n                    \"timestamp\": 1665039600\n                },\n                {\n                    \"value\": \"9.29\",\n                    \"timestamp\": 1665043200\n                },\n                {\n                    \"value\": \"9.41\",\n                    \"timestamp\": 1665046800\n                },\n                {\n                    \"value\": \"9.46\",\n                    \"timestamp\": 1665050400\n                },\n                {\n                    \"value\": \"9.65\",\n                    \"timestamp\": 1665054000\n                },\n                {\n                    \"value\": \"10.19\",\n                    \"timestamp\": 1665057600\n                },\n                {\n                    \"value\": \"11.1\",\n                    \"timestamp\": 1665061200\n                },\n                {\n                    \"value\": \"13.06\",\n                    \"timestamp\": 1665064800\n                },\n                {\n                    \"value\": \"14.4\",\n                    \"timestamp\": 1665068400\n                },\n                {\n                    \"value\": \"14.4\",\n                    \"timestamp\": 1665072000\n                },\n                {\n                    \"value\": \"14.21\",\n                    \"timestamp\": 1665075600\n                },\n                {\n                    \"value\": \"16.54\",\n                    \"timestamp\": 1665079200\n                },\n                {\n                    \"value\": \"17.33\",\n                    \"timestamp\": 1665082800\n                },\n                {\n                    \"value\": \"16.6\",\n                    \"timestamp\": 1665086400\n                },\n                {\n                    \"value\": \"15.71\",\n                    \"timestamp\": 1665090000\n                },\n                {\n                    \"value\": \"14.2\",\n                    \"timestamp\": 1665093600\n                },\n                {\n                    \"value\": \"11.49\",\n                    \"timestamp\": 1665097200\n                }\n            ],\n            \"temp_max\": 17.33,\n            \"temp_min\": 7.31,\n            \"temp_avg\": 11.49,\n            \"hum_values\": [\n                {\n                    \"value\": \"73.0\",\n                    \"timestamp\": 1665014400\n                },\n                {\n                    \"value\": \"76.0\",\n                    \"timestamp\": 1665018000\n                },\n                {\n                    \"value\": \"77.0\",\n                    \"timestamp\": 1665021600\n                },\n                {\n                    \"value\": \"76.0\",\n                    \"timestamp\": 1665025200\n                },\n                {\n                    \"value\": \"81.0\",\n                    \"timestamp\": 1665028800\n                },\n                {\n                    \"value\": \"82.0\",\n                    \"timestamp\": 1665032400\n                },\n                {\n                    \"value\": \"74.0\",\n                    \"timestamp\": 1665036000\n                },\n                {\n                    \"value\": \"72.0\",\n                    \"timestamp\": 1665039600\n                },\n                {\n                    \"value\": \"71.0\",\n                    \"timestamp\": 1665043200\n                },\n                {\n                    \"value\": \"70.0\",\n                    \"timestamp\": 1665046800\n                },\n                {\n                    \"value\": \"69.0\",\n                    \"timestamp\": 1665050400\n                },\n                {\n                    \"value\": \"70.0\",\n                    \"timestamp\": 1665054000\n                },\n                {\n                    \"value\": \"70.0\",\n                    \"timestamp\": 1665057600\n                },\n                {\n                    \"value\": \"65.0\",\n                    \"timestamp\": 1665061200\n                },\n                {\n                    \"value\": \"57.0\",\n                    \"timestamp\": 1665064800\n                },\n                {\n                    \"value\": \"53.0\",\n                    \"timestamp\": 1665068400\n                },\n                {\n                    \"value\": \"56.0\",\n                    \"timestamp\": 1665072000\n                },\n                {\n                    \"value\": \"58.0\",\n                    \"timestamp\": 1665075600\n                },\n                {\n                    \"value\": \"51.0\",\n                    \"timestamp\": 1665079200\n                },\n                {\n                    \"value\": \"50.0\",\n                    \"timestamp\": 1665082800\n                },\n                {\n                    \"value\": \"53.0\",\n                    \"timestamp\": 1665086400\n                },\n                {\n                    \"value\": \"60.0\",\n                    \"timestamp\": 1665090000\n                },\n                {\n                    \"value\": \"70.0\",\n                    \"timestamp\": 1665093600\n                },\n                {\n                    \"value\": \"74.0\",\n                    \"timestamp\": 1665097200\n                }\n            ],\n            \"hum_max\": 82,\n            \"hum_min\": 50,\n            \"hum_avg\": 67,\n            \"wind_avg\": 5.8,\n            \"wind_values\": [\n                {\n                    \"value\": \"8.35\",\n                    \"timestamp\": 1665014400\n                },\n                {\n                    \"value\": \"4.93\",\n                    \"timestamp\": 1665018000\n                },\n                {\n                    \"value\": \"3.56\",\n                    \"timestamp\": 1665021600\n                },\n                {\n                    \"value\": \"4.93\",\n                    \"timestamp\": 1665025200\n                },\n                {\n                    \"value\": \"3.78\",\n                    \"timestamp\": 1665028800\n                },\n                {\n                    \"value\": \"4.46\",\n                    \"timestamp\": 1665032400\n                },\n                {\n                    \"value\": \"2.63\",\n                    \"timestamp\": 1665036000\n                },\n                {\n                    \"value\": \"2.92\",\n                    \"timestamp\": 1665039600\n                },\n                {\n                    \"value\": \"4.21\",\n                    \"timestamp\": 1665043200\n                },\n                {\n                    \"value\": \"3.42\",\n                    \"timestamp\": 1665046800\n                },\n                {\n                    \"value\": \"2.45\",\n                    \"timestamp\": 1665050400\n                },\n                {\n                    \"value\": \"2.3\",\n                    \"timestamp\": 1665054000\n                },\n                {\n                    \"value\": \"1.01\",\n                    \"timestamp\": 1665057600\n                },\n                {\n                    \"value\": \"1.76\",\n                    \"timestamp\": 1665061200\n                },\n                {\n                    \"value\": \"1.37\",\n                    \"timestamp\": 1665064800\n                },\n                {\n                    \"value\": \"4.54\",\n                    \"timestamp\": 1665068400\n                },\n                {\n                    \"value\": \"6.34\",\n                    \"timestamp\": 1665072000\n                },\n                {\n                    \"value\": \"8.06\",\n                    \"timestamp\": 1665075600\n                },\n                {\n                    \"value\": \"10.62\",\n                    \"timestamp\": 1665079200\n                },\n                {\n                    \"value\": \"13.54\",\n                    \"timestamp\": 1665082800\n                },\n                {\n                    \"value\": \"13.79\",\n                    \"timestamp\": 1665086400\n                },\n                {\n                    \"value\": \"13.1\",\n                    \"timestamp\": 1665090000\n                },\n                {\n                    \"value\": \"10.48\",\n                    \"timestamp\": 1665093600\n                },\n                {\n                    \"value\": \"6.73\",\n                    \"timestamp\": 1665097200\n                }\n            ],\n            \"wind_direction\": [\n                {\n                    \"value\": \"267\",\n                    \"timestamp\": 1665014400\n                },\n                {\n                    \"value\": \"273\",\n                    \"timestamp\": 1665018000\n                },\n                {\n                    \"value\": \"207\",\n                    \"timestamp\": 1665021600\n                },\n                {\n                    \"value\": \"212\",\n                    \"timestamp\": 1665025200\n                },\n                {\n                    \"value\": \"235\",\n                    \"timestamp\": 1665028800\n                },\n                {\n                    \"value\": \"209\",\n                    \"timestamp\": 1665032400\n                },\n                {\n                    \"value\": \"189\",\n                    \"timestamp\": 1665036000\n                },\n                {\n                    \"value\": \"216\",\n                    \"timestamp\": 1665039600\n                },\n                {\n                    \"value\": \"218\",\n                    \"timestamp\": 1665043200\n                },\n                {\n                    \"value\": \"224\",\n                    \"timestamp\": 1665046800\n                },\n                {\n                    \"value\": \"196\",\n                    \"timestamp\": 1665050400\n                },\n                {\n                    \"value\": \"206\",\n                    \"timestamp\": 1665054000\n                },\n                {\n                    \"value\": \"91\",\n                    \"timestamp\": 1665057600\n                },\n                {\n                    \"value\": \"42\",\n                    \"timestamp\": 1665061200\n                },\n                {\n                    \"value\": \"177\",\n                    \"timestamp\": 1665064800\n                },\n                {\n                    \"value\": \"176\",\n                    \"timestamp\": 1665068400\n                },\n                {\n                    \"value\": \"169\",\n                    \"timestamp\": 1665072000\n                },\n                {\n                    \"value\": \"170\",\n                    \"timestamp\": 1665075600\n                },\n                {\n                    \"value\": \"178\",\n                    \"timestamp\": 1665079200\n                },\n                {\n                    \"value\": \"181\",\n                    \"timestamp\": 1665082800\n                },\n                {\n                    \"value\": \"197\",\n                    \"timestamp\": 1665086400\n                },\n                {\n                    \"value\": \"192\",\n                    \"timestamp\": 1665090000\n                },\n                {\n                    \"value\": \"152\",\n                    \"timestamp\": 1665093600\n                },\n                {\n                    \"value\": \"168\",\n                    \"timestamp\": 1665097200\n                }\n            ],\n            \"gust_max\": 17.39,\n            \"gust_min\": 1.4,\n            \"gust_avg\": 6.62,\n            \"gust_values\": [\n                {\n                    \"value\": \"73.0\",\n                    \"timestamp\": 1665014400\n                },\n                {\n                    \"value\": \"76.0\",\n                    \"timestamp\": 1665018000\n                },\n                {\n                    \"value\": \"77.0\",\n                    \"timestamp\": 1665021600\n                },\n                {\n                    \"value\": \"76.0\",\n                    \"timestamp\": 1665025200\n                },\n                {\n                    \"value\": \"81.0\",\n                    \"timestamp\": 1665028800\n                },\n                {\n                    \"value\": \"82.0\",\n                    \"timestamp\": 1665032400\n                },\n                {\n                    \"value\": \"74.0\",\n                    \"timestamp\": 1665036000\n                },\n                {\n                    \"value\": \"72.0\",\n                    \"timestamp\": 1665039600\n                },\n                {\n                    \"value\": \"71.0\",\n                    \"timestamp\": 1665043200\n                },\n                {\n                    \"value\": \"70.0\",\n                    \"timestamp\": 1665046800\n                },\n                {\n                    \"value\": \"69.0\",\n                    \"timestamp\": 1665050400\n                },\n                {\n                    \"value\": \"70.0\",\n                    \"timestamp\": 1665054000\n                },\n                {\n                    \"value\": \"70.0\",\n                    \"timestamp\": 1665057600\n                },\n                {\n                    \"value\": \"65.0\",\n                    \"timestamp\": 1665061200\n                },\n                {\n                    \"value\": \"57.0\",\n                    \"timestamp\": 1665064800\n                },\n                {\n                    \"value\": \"53.0\",\n                    \"timestamp\": 1665068400\n                },\n                {\n                    \"value\": \"56.0\",\n                    \"timestamp\": 1665072000\n                },\n                {\n                    \"value\": \"58.0\",\n                    \"timestamp\": 1665075600\n                },\n                {\n                    \"value\": \"51.0\",\n                    \"timestamp\": 1665079200\n                },\n                {\n                    \"value\": \"50.0\",\n                    \"timestamp\": 1665082800\n                },\n                {\n                    \"value\": \"53.0\",\n                    \"timestamp\": 1665086400\n                },\n                {\n                    \"value\": \"60.0\",\n                    \"timestamp\": 1665090000\n                },\n                {\n                    \"value\": \"70.0\",\n                    \"timestamp\": 1665093600\n                },\n                {\n                    \"value\": \"74.0\",\n                    \"timestamp\": 1665097200\n                }\n            ],\n            \"rain_sum\": 0,\n            \"rain_values\": [],\n            \"rain_prob\": [\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665014400\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665018000\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665021600\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665025200\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665028800\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665032400\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665036000\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665039600\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665043200\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665046800\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665050400\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665054000\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665057600\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665061200\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665064800\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665068400\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665072000\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665075600\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665079200\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665082800\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665086400\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665090000\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665093600\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665097200\n                }\n            ],\n            \"clouds_values\": [\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1665054000\n                },\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1665057600\n                },\n                {\n                    \"value\": \"96\",\n                    \"timestamp\": 1665061200\n                },\n                {\n                    \"value\": \"98\",\n                    \"timestamp\": 1665064800\n                },\n                {\n                    \"value\": \"98\",\n                    \"timestamp\": 1665068400\n                },\n                {\n                    \"value\": \"97\",\n                    \"timestamp\": 1665072000\n                },\n                {\n                    \"value\": \"98\",\n                    \"timestamp\": 1665075600\n                },\n                {\n                    \"value\": \"98\",\n                    \"timestamp\": 1665079200\n                },\n                {\n                    \"value\": \"76\",\n                    \"timestamp\": 1665082800\n                },\n                {\n                    \"value\": \"94\",\n                    \"timestamp\": 1665093600\n                },\n                {\n                    \"value\": \"null\"\n                },\n                {\n                    \"value\": \"88\",\n                    \"timestamp\": 1665086400\n                },\n                {\n                    \"value\": \"92\",\n                    \"timestamp\": 1665090000\n                }\n            ],\n            \"clouds_avg\": 94.58,\n            \"cold_hours\": 0,\n            \"frozen_hours\": 0,\n            \"integral\": 49.23,\n            \"eto\": 3.31,\n            \"dayOfWeek\": \"Th\",\n            \"day\": \"2022-10-06\"\n        },\n        {\n            \"temp_values\": [\n                {\n                    \"value\": \"10.47\",\n                    \"timestamp\": 1665100800\n                },\n                {\n                    \"value\": \"9.85\",\n                    \"timestamp\": 1665104400\n                },\n                {\n                    \"value\": \"9.23\",\n                    \"timestamp\": 1665108000\n                },\n                {\n                    \"value\": \"8.7\",\n                    \"timestamp\": 1665111600\n                },\n                {\n                    \"value\": \"8.26\",\n                    \"timestamp\": 1665115200\n                },\n                {\n                    \"value\": \"8.3\",\n                    \"timestamp\": 1665118800\n                },\n                {\n                    \"value\": \"8.33\",\n                    \"timestamp\": 1665122400\n                },\n                {\n                    \"value\": \"8.36\",\n                    \"timestamp\": 1665126000\n                },\n                {\n                    \"value\": \"8.26\",\n                    \"timestamp\": 1665129600\n                },\n                {\n                    \"value\": \"8.23\",\n                    \"timestamp\": 1665133200\n                },\n                {\n                    \"value\": \"8.29\",\n                    \"timestamp\": 1665136800\n                },\n                {\n                    \"value\": \"9.52\",\n                    \"timestamp\": 1665140400\n                },\n                {\n                    \"value\": \"11.34\",\n                    \"timestamp\": 1665144000\n                },\n                {\n                    \"value\": \"13.1\",\n                    \"timestamp\": 1665147600\n                },\n                {\n                    \"value\": \"15.14\",\n                    \"timestamp\": 1665151200\n                },\n                {\n                    \"value\": \"16.9\",\n                    \"timestamp\": 1665154800\n                },\n                {\n                    \"value\": \"18.54\",\n                    \"timestamp\": 1665158400\n                },\n                {\n                    \"value\": \"19.13\",\n                    \"timestamp\": 1665162000\n                },\n                {\n                    \"value\": \"17.64\",\n                    \"timestamp\": 1665165600\n                },\n                {\n                    \"value\": \"18.37\",\n                    \"timestamp\": 1665169200\n                },\n                {\n                    \"value\": \"17.9\",\n                    \"timestamp\": 1665172800\n                },\n                {\n                    \"value\": \"16.97\",\n                    \"timestamp\": 1665176400\n                },\n                {\n                    \"value\": \"14.6\",\n                    \"timestamp\": 1665180000\n                },\n                {\n                    \"value\": \"11.4\",\n                    \"timestamp\": 1665183600\n                }\n            ],\n            \"temp_max\": 19.13,\n            \"temp_min\": 8.23,\n            \"temp_avg\": 12.37,\n            \"hum_values\": [\n                {\n                    \"value\": \"74.0\",\n                    \"timestamp\": 1665100800\n                },\n                {\n                    \"value\": \"74.0\",\n                    \"timestamp\": 1665104400\n                },\n                {\n                    \"value\": \"77.0\",\n                    \"timestamp\": 1665108000\n                },\n                {\n                    \"value\": \"81.0\",\n                    \"timestamp\": 1665111600\n                },\n                {\n                    \"value\": \"82.0\",\n                    \"timestamp\": 1665115200\n                },\n                {\n                    \"value\": \"82.0\",\n                    \"timestamp\": 1665118800\n                },\n                {\n                    \"value\": \"83.0\",\n                    \"timestamp\": 1665122400\n                },\n                {\n                    \"value\": \"83.0\",\n                    \"timestamp\": 1665126000\n                },\n                {\n                    \"value\": \"83.0\",\n                    \"timestamp\": 1665129600\n                },\n                {\n                    \"value\": \"83.0\",\n                    \"timestamp\": 1665133200\n                },\n                {\n                    \"value\": \"83.0\",\n                    \"timestamp\": 1665136800\n                },\n                {\n                    \"value\": \"82.0\",\n                    \"timestamp\": 1665140400\n                },\n                {\n                    \"value\": \"75.0\",\n                    \"timestamp\": 1665144000\n                },\n                {\n                    \"value\": \"72.0\",\n                    \"timestamp\": 1665147600\n                },\n                {\n                    \"value\": \"68.0\",\n                    \"timestamp\": 1665151200\n                },\n                {\n                    \"value\": \"64.0\",\n                    \"timestamp\": 1665154800\n                },\n                {\n                    \"value\": \"61.0\",\n                    \"timestamp\": 1665158400\n                },\n                {\n                    \"value\": \"62.0\",\n                    \"timestamp\": 1665162000\n                },\n                {\n                    \"value\": \"71.0\",\n                    \"timestamp\": 1665165600\n                },\n                {\n                    \"value\": \"64.0\",\n                    \"timestamp\": 1665169200\n                },\n                {\n                    \"value\": \"61.0\",\n                    \"timestamp\": 1665172800\n                },\n                {\n                    \"value\": \"61.0\",\n                    \"timestamp\": 1665176400\n                },\n                {\n                    \"value\": \"68.0\",\n                    \"timestamp\": 1665180000\n                },\n                {\n                    \"value\": \"78.0\",\n                    \"timestamp\": 1665183600\n                }\n            ],\n            \"hum_max\": 83,\n            \"hum_min\": 61,\n            \"hum_avg\": 73.83,\n            \"wind_avg\": 6.95,\n            \"wind_values\": [\n                {\n                    \"value\": \"6.26\",\n                    \"timestamp\": 1665100800\n                },\n                {\n                    \"value\": \"6.95\",\n                    \"timestamp\": 1665104400\n                },\n                {\n                    \"value\": \"7.67\",\n                    \"timestamp\": 1665108000\n                },\n                {\n                    \"value\": \"5.83\",\n                    \"timestamp\": 1665111600\n                },\n                {\n                    \"value\": \"2.66\",\n                    \"timestamp\": 1665115200\n                },\n                {\n                    \"value\": \"2.48\",\n                    \"timestamp\": 1665118800\n                },\n                {\n                    \"value\": \"2.48\",\n                    \"timestamp\": 1665122400\n                },\n                {\n                    \"value\": \"0.65\",\n                    \"timestamp\": 1665126000\n                },\n                {\n                    \"value\": \"0.5\",\n                    \"timestamp\": 1665129600\n                },\n                {\n                    \"value\": \"0.68\",\n                    \"timestamp\": 1665133200\n                },\n                {\n                    \"value\": \"0.54\",\n                    \"timestamp\": 1665136800\n                },\n                {\n                    \"value\": \"1.3\",\n                    \"timestamp\": 1665140400\n                },\n                {\n                    \"value\": \"1.8\",\n                    \"timestamp\": 1665144000\n                },\n                {\n                    \"value\": \"1.84\",\n                    \"timestamp\": 1665147600\n                },\n                {\n                    \"value\": \"1.94\",\n                    \"timestamp\": 1665151200\n                },\n                {\n                    \"value\": \"3.74\",\n                    \"timestamp\": 1665154800\n                },\n                {\n                    \"value\": \"4.14\",\n                    \"timestamp\": 1665158400\n                },\n                {\n                    \"value\": \"9.54\",\n                    \"timestamp\": 1665162000\n                },\n                {\n                    \"value\": \"15.23\",\n                    \"timestamp\": 1665165600\n                },\n                {\n                    \"value\": \"16.67\",\n                    \"timestamp\": 1665169200\n                },\n                {\n                    \"value\": \"19.3\",\n                    \"timestamp\": 1665172800\n                },\n                {\n                    \"value\": \"21.49\",\n                    \"timestamp\": 1665176400\n                },\n                {\n                    \"value\": \"19.8\",\n                    \"timestamp\": 1665180000\n                },\n                {\n                    \"value\": \"13.36\",\n                    \"timestamp\": 1665183600\n                }\n            ],\n            \"wind_direction\": [\n                {\n                    \"value\": \"205\",\n                    \"timestamp\": 1665100800\n                },\n                {\n                    \"value\": \"215\",\n                    \"timestamp\": 1665104400\n                },\n                {\n                    \"value\": \"215\",\n                    \"timestamp\": 1665108000\n                },\n                {\n                    \"value\": \"195\",\n                    \"timestamp\": 1665111600\n                },\n                {\n                    \"value\": \"185\",\n                    \"timestamp\": 1665115200\n                },\n                {\n                    \"value\": \"268\",\n                    \"timestamp\": 1665118800\n                },\n                {\n                    \"value\": \"271\",\n                    \"timestamp\": 1665122400\n                },\n                {\n                    \"value\": \"248\",\n                    \"timestamp\": 1665126000\n                },\n                {\n                    \"value\": \"112\",\n                    \"timestamp\": 1665129600\n                },\n                {\n                    \"value\": \"300\",\n                    \"timestamp\": 1665133200\n                },\n                {\n                    \"value\": \"251\",\n                    \"timestamp\": 1665136800\n                },\n                {\n                    \"value\": \"156\",\n                    \"timestamp\": 1665140400\n                },\n                {\n                    \"value\": \"132\",\n                    \"timestamp\": 1665144000\n                },\n                {\n                    \"value\": \"92\",\n                    \"timestamp\": 1665147600\n                },\n                {\n                    \"value\": \"23\",\n                    \"timestamp\": 1665151200\n                },\n                {\n                    \"value\": \"347\",\n                    \"timestamp\": 1665154800\n                },\n                {\n                    \"value\": \"324\",\n                    \"timestamp\": 1665158400\n                },\n                {\n                    \"value\": \"269\",\n                    \"timestamp\": 1665162000\n                },\n                {\n                    \"value\": \"249\",\n                    \"timestamp\": 1665165600\n                },\n                {\n                    \"value\": \"258\",\n                    \"timestamp\": 1665169200\n                },\n                {\n                    \"value\": \"268\",\n                    \"timestamp\": 1665172800\n                },\n                {\n                    \"value\": \"265\",\n                    \"timestamp\": 1665176400\n                },\n                {\n                    \"value\": \"257\",\n                    \"timestamp\": 1665180000\n                },\n                {\n                    \"value\": \"250\",\n                    \"timestamp\": 1665183600\n                }\n            ],\n            \"gust_max\": 29.52,\n            \"gust_min\": 0.94,\n            \"gust_avg\": 9,\n            \"gust_values\": [\n                {\n                    \"value\": \"74.0\",\n                    \"timestamp\": 1665100800\n                },\n                {\n                    \"value\": \"74.0\",\n                    \"timestamp\": 1665104400\n                },\n                {\n                    \"value\": \"77.0\",\n                    \"timestamp\": 1665108000\n                },\n                {\n                    \"value\": \"81.0\",\n                    \"timestamp\": 1665111600\n                },\n                {\n                    \"value\": \"82.0\",\n                    \"timestamp\": 1665115200\n                },\n                {\n                    \"value\": \"82.0\",\n                    \"timestamp\": 1665118800\n                },\n                {\n                    \"value\": \"83.0\",\n                    \"timestamp\": 1665122400\n                },\n                {\n                    \"value\": \"83.0\",\n                    \"timestamp\": 1665126000\n                },\n                {\n                    \"value\": \"83.0\",\n                    \"timestamp\": 1665129600\n                },\n                {\n                    \"value\": \"83.0\",\n                    \"timestamp\": 1665133200\n                },\n                {\n                    \"value\": \"83.0\",\n                    \"timestamp\": 1665136800\n                },\n                {\n                    \"value\": \"82.0\",\n                    \"timestamp\": 1665140400\n                },\n                {\n                    \"value\": \"75.0\",\n                    \"timestamp\": 1665144000\n                },\n                {\n                    \"value\": \"72.0\",\n                    \"timestamp\": 1665147600\n                },\n                {\n                    \"value\": \"68.0\",\n                    \"timestamp\": 1665151200\n                },\n                {\n                    \"value\": \"64.0\",\n                    \"timestamp\": 1665154800\n                },\n                {\n                    \"value\": \"61.0\",\n                    \"timestamp\": 1665158400\n                },\n                {\n                    \"value\": \"62.0\",\n                    \"timestamp\": 1665162000\n                },\n                {\n                    \"value\": \"71.0\",\n                    \"timestamp\": 1665165600\n                },\n                {\n                    \"value\": \"64.0\",\n                    \"timestamp\": 1665169200\n                },\n                {\n                    \"value\": \"61.0\",\n                    \"timestamp\": 1665172800\n                },\n                {\n                    \"value\": \"61.0\",\n                    \"timestamp\": 1665176400\n                },\n                {\n                    \"value\": \"68.0\",\n                    \"timestamp\": 1665180000\n                },\n                {\n                    \"value\": \"78.0\",\n                    \"timestamp\": 1665183600\n                }\n            ],\n            \"rain_sum\": 0.28,\n            \"rain_values\": [\n                {\n                    \"value\": \"null\"\n                },\n                {\n                    \"value\": \"0.11\",\n                    \"timestamp\": 1665162000\n                },\n                {\n                    \"value\": \"0.17\",\n                    \"timestamp\": 1665165600\n                }\n            ],\n            \"rain_prob\": [\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665100800\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665104400\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665108000\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665111600\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665115200\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665118800\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665122400\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665126000\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665129600\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665133200\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665136800\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665140400\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665144000\n                },\n                {\n                    \"value\": \"0.0\",\n                    \"timestamp\": 1665147600\n                },\n                {\n                    \"value\": \"0.02\",\n                    \"timestamp\": 1665151200\n                },\n                {\n                    \"value\": \"0.04\",\n                    \"timestamp\": 1665154800\n                },\n                {\n                    \"value\": \"0.04\",\n                    \"timestamp\": 1665158400\n                },\n                {\n                    \"value\": \"0.24\",\n                    \"timestamp\": 1665162000\n                },\n                {\n                    \"value\": \"0.27\",\n                    \"timestamp\": 1665165600\n                },\n                {\n                    \"value\": \"0.46\",\n                    \"timestamp\": 1665169200\n                },\n                {\n                    \"value\": \"0.47\",\n                    \"timestamp\": 1665172800\n                },\n                {\n                    \"value\": \"0.41\",\n                    \"timestamp\": 1665176400\n                },\n                {\n                    \"value\": \"0.33\",\n                    \"timestamp\": 1665180000\n                },\n                {\n                    \"value\": \"0.29\",\n                    \"timestamp\": 1665183600\n                }\n            ],\n            \"clouds_values\": [\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1665140400\n                },\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1665144000\n                },\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1665147600\n                },\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1665151200\n                },\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1665154800\n                },\n                {\n                    \"value\": \"100\",\n                    \"timestamp\": 1665158400\n                },\n                {\n                    \"value\": \"99\",\n                    \"timestamp\": 1665162000\n                },\n                {\n                    \"value\": \"99\",\n                    \"timestamp\": 1665165600\n                },\n                {\n                    \"value\": \"92\",\n                    \"timestamp\": 1665169200\n                },\n                {\n                    \"value\": \"89\",\n                    \"timestamp\": 1665172800\n                },\n                {\n                    \"value\": \"85\",\n                    \"timestamp\": 1665176400\n                },\n                {\n                    \"value\": \"null\"\n                },\n                {\n                    \"value\": \"77\",\n                    \"timestamp\": 1665180000\n                }\n            ],\n            \"clouds_avg\": 95.08,\n            \"cold_hours\": 0,\n            \"frozen_hours\": 0,\n            \"integral\": 71.5,\n            \"eto\": 3.39,\n            \"dayOfWeek\": \"F\",\n            \"day\": \"2022-10-07\"\n        },\n        {\n            \"temp_values\": [\n                {\n                    \"value\": \"10.22\",\n                    \"timestamp\": 1665187200\n                },\n                {\n                    \"value\": \"10.4\",\n                    \"timestamp\": 1665190800\n                },\n                {\n                    \"value\": \"10.69\",\n                    \"timestamp\": 1665194400\n                },\n                {\n                    \"value\": \"10.75\",\n                    \"timestamp\": 1665198000\n                },\n                {\n                    \"value\": \"10.5\",\n                    \"timestamp\": 1665201600\n                },\n                {\n                    \"value\": \"8.04\",\n                    \"timestamp\": 1665205200\n                },\n                {\n                    \"value\": \"6.32\",\n                    \"timestamp\": 1665208800\n                },\n                {\n                    \"value\": \"5.41\",\n                    \"timestamp\": 1665212400\n                },\n                {\n                    \"value\": \"3.87\",\n                    \"timestamp\": 1665216000\n                },\n                {\n                    \"value\": \"3.24\",\n                    \"timestamp\": 1665219600\n                },\n                {\n                    \"value\": \"3.02\",\n                    \"timestamp\": 1665223200\n                }\n            ],\n            \"temp_max\": 10.75,\n            \"temp_min\": 3.02,\n            \"temp_avg\": 7.5,\n            \"hum_values\": [\n                {\n                    \"value\": \"80.0\",\n                    \"timestamp\": 1665187200\n                },\n                {\n                    \"value\": \"79.0\",\n                    \"timestamp\": 1665190800\n                },\n                {\n                    \"value\": \"82.0\",\n                    \"timestamp\": 1665194400\n                },\n                {\n                    \"value\": \"84.0\",\n                    \"timestamp\": 1665198000\n                },\n                {\n                    \"value\": \"83.0\",\n                    \"timestamp\": 1665201600\n                },\n                {\n                    \"value\": \"73.0\",\n                    \"timestamp\": 1665205200\n                },\n                {\n                    \"value\": \"74.0\",\n                    \"timestamp\": 1665208800\n                },\n                {\n                    \"value\": \"72.0\",\n                    \"timestamp\": 1665212400\n                },\n                {\n                    \"value\": \"75.0\",\n                    \"timestamp\": 1665216000\n                },\n                {\n                    \"value\": \"74.0\",\n                    \"timestamp\": 1665219600\n                },\n                {\n                    \"value\": \"73.0\",\n                    \"timestamp\": 1665223200\n                }\n            ],\n            \"hum_max\": 84,\n            \"hum_min\": 72,\n            \"hum_avg\": 77.18,\n            \"wind_avg\": 14.98,\n            \"wind_values\": [\n                {\n                    \"value\": \"7.52\",\n                    \"timestamp\": 1665187200\n                },\n                {\n                    \"value\": \"4.9\",\n                    \"timestamp\": 1665190800\n                },\n                {\n                    \"value\": \"2.45\",\n                    \"timestamp\": 1665194400\n                },\n                {\n                    \"value\": \"3.02\",\n                    \"timestamp\": 1665198000\n                },\n                {\n                    \"value\": \"10.01\",\n                    \"timestamp\": 1665201600\n                },\n                {\n                    \"value\": \"25.06\",\n                    \"timestamp\": 1665205200\n                },\n                {\n                    \"value\": \"24.01\",\n                    \"timestamp\": 1665208800\n                },\n                {\n                    \"value\": \"23.33\",\n                    \"timestamp\": 1665212400\n                },\n                {\n                    \"value\": \"21.71\",\n                    \"timestamp\": 1665216000\n                },\n                {\n                    \"value\": \"21.28\",\n                    \"timestamp\": 1665219600\n                },\n                {\n                    \"value\": \"21.31\",\n                    \"timestamp\": 1665223200\n                }\n            ],\n            \"wind_direction\": [\n                {\n                    \"value\": \"258\",\n                    \"timestamp\": 1665187200\n                },\n                {\n                    \"value\": \"254\",\n                    \"timestamp\": 1665190800\n                },\n                {\n                    \"value\": \"295\",\n                    \"timestamp\": 1665194400\n                },\n                {\n                    \"value\": \"313\",\n                    \"timestamp\": 1665198000\n                },\n                {\n                    \"value\": \"208\",\n                    \"timestamp\": 1665201600\n                },\n                {\n                    \"value\": \"195\",\n                    \"timestamp\": 1665205200\n                },\n                {\n                    \"value\": \"199\",\n                    \"timestamp\": 1665208800\n                },\n                {\n                    \"value\": \"201\",\n                    \"timestamp\": 1665212400\n                },\n                {\n                    \"value\": \"202\",\n                    \"timestamp\": 1665216000\n                },\n                {\n                    \"value\": \"201\",\n                    \"timestamp\": 1665219600\n                },\n                {\n                    \"value\": \"198\",\n                    \"timestamp\": 1665223200\n                }\n            ],\n            \"gust_max\": 52.78,\n            \"gust_min\": 3.24,\n            \"gust_avg\": 30.92,\n            \"gust_values\": [\n                {\n                    \"value\": \"80.0\",\n                    \"timestamp\": 1665187200\n                },\n                {\n                    \"value\": \"79.0\",\n                    \"timestamp\": 1665190800\n                },\n                {\n                    \"value\": \"82.0\",\n                    \"timestamp\": 1665194400\n                },\n                {\n                    \"value\": \"84.0\",\n                    \"timestamp\": 1665198000\n                },\n                {\n                    \"value\": \"83.0\",\n                    \"timestamp\": 1665201600\n                },\n                {\n                    \"value\": \"73.0\",\n                    \"timestamp\": 1665205200\n                },\n                {\n                    \"value\": \"74.0\",\n                    \"timestamp\": 1665208800\n                },\n                {\n                    \"value\": \"72.0\",\n                    \"timestamp\": 1665212400\n                },\n                {\n                    \"value\": \"75.0\",\n                    \"timestamp\": 1665216000\n                },\n                {\n                    \"value\": \"74.0\",\n                    \"timestamp\": 1665219600\n                },\n                {\n                    \"value\": \"73.0\",\n                    \"timestamp\": 1665223200\n                }\n            ],\n            \"rain_sum\": 0.2,\n            \"rain_values\": [\n                {\n                    \"value\": \"0.2\",\n                    \"timestamp\": 1665194400\n                },\n                {\n                    \"value\": \"null\"\n                }\n            ],\n            \"rain_prob\": [\n                {\n                    \"value\": \"0.29\",\n                    \"timestamp\": 1665187200\n                },\n                {\n                    \"value\": \"0.16\",\n                    \"timestamp\": 1665190800\n                },\n                {\n                    \"value\": \"0.28\",\n                    \"timestamp\": 1665194400\n                },\n                {\n                    \"value\": \"0.37\",\n                    \"timestamp\": 1665198000\n                },\n                {\n                    \"value\": \"0.4\",\n                    \"timestamp\": 1665201600\n                },\n                {\n                    \"value\": \"0.34\",\n                    \"timestamp\": 1665205200\n                },\n                {\n                    \"value\": \"0.28\",\n                    \"timestamp\": 1665208800\n                },\n                {\n                    \"value\": \"0.08\",\n                    \"timestamp\": 1665212400\n                },\n                {\n                    \"value\": \"0.05\",\n                    \"timestamp\": 1665216000\n                },\n                {\n                    \"value\": \"0.03\",\n                    \"timestamp\": 1665219600\n                },\n                {\n                    \"value\": \"0.03\",\n                    \"timestamp\": 1665223200\n                }\n            ],\n            \"clouds_values\": [],\n            \"clouds_avg\": 0,\n            \"cold_hours\": 5,\n            \"frozen_hours\": 0,\n            \"integral\": 2.56,\n            \"eto\": 2.4,\n            \"dayOfWeek\": \"Sa\",\n            \"day\": \"2022-10-08\"\n        }\n    ]\n}"}],"_postman_id":"1e79959c-0608-48cc-b4cf-d7c5881029f0"},{"name":"getForecastLocations","id":"0524407a-12a1-4ef7-be25-c2610791b013","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"https://api.qampo.es/apiv2/api/getForecastLocations\n","description":"<p>Returns the user locations registered for the prediction service.</p>\n","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"<value>"}]},"isInherited":true,"source":{"_postman_id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","name":"Api Qampo EN","type":"collection"}},"urlObject":{"protocol":"https","path":["apiv2","api","getForecastLocations\n"],"host":["api","qampo","es"],"query":[],"variable":[]}},"response":[{"id":"dcd20a5a-e639-4e29-aa77-29e091d362b3","name":"getForecastLocations example","originalRequest":{"method":"GET","header":[],"url":{"raw":"https://api.qampo.es/apiv2/api/getForecastLocations?apikey=my-apikey","protocol":"https","host":["api","qampo","es"],"path":["apiv2","api","getForecastLocations"],"query":[{"key":"apikey","value":"my-apikey"}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json"},{"key":"Content-Length","value":"173"},{"key":"Date","value":"Tue, 04 Oct 2022 14:27:49 GMT"},{"key":"Keep-Alive","value":"timeout=60"},{"key":"Connection","value":"keep-alive"}],"cookie":[],"responseTime":null,"body":"[\n    {\n        \"id\": 8,\n        \"name\": \"Test name\",\n        \"lat\": 41.64,\n        \"lon\": -4.73\n    },\n    {\n        \"id\": 9,\n        \"name\": \"Test name 2\",\n        \"lat\": -35.9,\n        \"lon\": -72.1\n    },\n    {\n        \"id\": 12,\n        \"name\": \"Test name 3\",\n        \"lat\": 41.64,\n        \"lon\": -4.72\n    }\n]"}],"_postman_id":"0524407a-12a1-4ef7-be25-c2610791b013"}],"id":"b98efae3-b84b-4137-88dc-ccd5565a53d4","description":"<p>Weather forecast endpoints.</p>\n<p>The location coordinates must be signed up in order to retrieve the location weather forecast.</p>\n<p>The <code>NewLocation</code> endpoint signs up a new location, while the <code>getForecastLocations</code> endpoint retrieve the registered locations.</p>\n<p>The <code>getForecast</code> endpoint returns the weather forecast of a registered location based on its identifier.</p>\n","_postman_id":"b98efae3-b84b-4137-88dc-ccd5565a53d4","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"<value>"}]},"isInherited":true,"source":{"_postman_id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","name":"Api Qampo EN","type":"collection"}}},{"name":"Device settings","item":[{"name":"setNodeConfigGMT","id":"4f5f3cee-5268-4ff8-8232-8ca4bc6775b6","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[],"url":"https://api.qampo.es/apiv2/api/setNodeConfigGMT","description":"<p>Updates the node time zone. The parameter <code>gmt</code> indicates the time zone in seconds.</p>\n","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"<value>"}]},"isInherited":true,"source":{"_postman_id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","name":"Api Qampo EN","type":"collection"}},"urlObject":{"protocol":"https","path":["apiv2","api","setNodeConfigGMT"],"host":["api","qampo","es"],"query":[{"disabled":true,"description":{"content":"<p>(Required) Node identifier.</p>\n","type":"text/plain"},"key":"nodeid","value":""},{"disabled":true,"description":{"content":"<p>(Required) Time difference from UTC in seconds. For example, for UTC +2, gmt = 7200.</p>\n","type":"text/plain"},"key":"gmt","value":""}],"variable":[]}},"response":[{"id":"f35ccbcb-0cee-41de-989b-5f90b13ef75b","name":"setNodeConfigGMT","originalRequest":{"method":"POST","header":[{"key":"apikey","value":"my-apikey","type":"text"}],"url":{"raw":"https://api.qampo.es/apiv2/api/setNodeConfigGMT?nodeid=10283102&gmt=7200","protocol":"https","host":["api","qampo","es"],"path":["apiv2","api","setNodeConfigGMT"],"query":[{"key":"nodeid","value":"10283102","description":"(Requerido) Identificador del nodo."},{"key":"gmt","value":"7200","description":"(Requerido) Diferencia horaria respecto a la hora UTC en segundos. p.e. Para UTC +2, gmt = 7200"}]}},"_postman_previewlanguage":"json","header":null,"cookie":[],"responseTime":null,"body":"{\n    \"nodeid\": \"10283102\",\n    \"gmt\": \"7200\"\n}"}],"_postman_id":"4f5f3cee-5268-4ff8-8232-8ca4bc6775b6"},{"name":"setNodeConfigTime","id":"5cb29e0e-cf59-43e1-87c4-ec82412fdf4a","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[],"url":"https://api.qampo.es/apiv2/api/setNodeConfigTime","description":"<p>Updates the measurement time <code>measure_time</code> and sending time/period <code>sending_period</code> settings of the node. Parameters are in minutes.</p>\n<blockquote>\n<p>The measurement and sending times should be proportional. Additionally, the measurement time cannot be less than 30 minutes, while the sending period cannot be less than 10 minutes. For other configurations, please contact support.</p>\n</blockquote>\n","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"<value>"}]},"isInherited":true,"source":{"_postman_id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","name":"Api Qampo EN","type":"collection"}},"urlObject":{"protocol":"https","path":["apiv2","api","setNodeConfigTime"],"host":["api","qampo","es"],"query":[{"disabled":true,"description":{"content":"<p>(Required) Node identifier.</p>\n","type":"text/plain"},"key":"nodeid","value":""},{"disabled":true,"description":{"content":"<p>(Required) Time between each measurement (in minutes). It cannot be less than 10 minutes.</p>\n","type":"text/plain"},"key":"measure_time","value":""},{"disabled":true,"description":{"content":"<p>(Required) Time between sendings (in minutes). Must be proportional to measure time and cannot be less than 30 minutes.</p>\n","type":"text/plain"},"key":"sending_period","value":""}],"variable":[]}},"response":[{"id":"f3748c56-3287-4acc-8cce-f703b8993dfb","name":"setNodeConfigTime","originalRequest":{"method":"POST","header":[{"key":"apikey","value":"my-apikey","type":"text"}],"url":{"raw":"https://api.qampo.es/apiv2/api/setNodeConfigTime?nodeid=15&measure_time=60&sending_period=10283102","protocol":"https","host":["api","qampo","es"],"path":["apiv2","api","setNodeConfigTime"],"query":[{"key":"nodeid","value":"15","description":"(Requerido) Identificador del nodo."},{"key":"measure_time","value":"60","description":"(Requerido) Tiempo entre cada medida (minutos). No puede ser inferior a 10 minutos."},{"key":"sending_period","value":"10283102","description":"(Requerido) Tiempo entre cada envío (minutos). Debe ser proporcional al tiempo de medida y no puede ser inferior a 30 minutos."}]}},"_postman_previewlanguage":"json","header":null,"cookie":[],"responseTime":null,"body":"{\n    \"measure_time\": \"15\",\n    \"sending_period\": \"60\",\n    \"nodeid\": \"10283102\"\n}"}],"_postman_id":"5cb29e0e-cf59-43e1-87c4-ec82412fdf4a"},{"name":"setNodePosition","id":"ef4ff901-7218-4f04-9579-0431569ae584","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[],"url":"https://api.qampo.es/apiv2/api/setNodePosition","description":"<p>Updates the node location.</p>\n<blockquote>\n<p>The latitude coordinate &lt;code &gt;lat&lt;/code&gt; and longitude coordinate &lt;code &gt;lon&lt;/code&gt; should be entered in decimal degrees.</p>\n</blockquote>\n","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"<value>"}]},"isInherited":true,"source":{"_postman_id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","name":"Api Qampo EN","type":"collection"}},"urlObject":{"protocol":"https","path":["apiv2","api","setNodePosition"],"host":["api","qampo","es"],"query":[{"disabled":true,"description":{"content":"<p>(Required) Node identifier.</p>\n","type":"text/plain"},"key":"nodeid","value":""},{"disabled":true,"description":{"content":"<p>(Required) Latitude coordinate. [Decimal degrees]</p>\n","type":"text/plain"},"key":"lat","value":""},{"disabled":true,"description":{"content":"<p>(Required) Longitude coordinate. [Decimal degrees]</p>\n","type":"text/plain"},"key":"lon","value":""}],"variable":[]}},"response":[{"id":"174148bd-eb65-4eba-8b6d-4abcde5c4a01","name":"Update position","originalRequest":{"method":"POST","header":[{"key":"apikey","value":"my-apikey","type":"text"}],"url":{"raw":"https://api.qampo.es/apiv2/api/setNodePosition?nodeid=111222333&lat=37.410605&lon=-7.023351","protocol":"https","host":["api","qampo","es"],"path":["apiv2","api","setNodePosition"],"query":[{"key":"nodeid","value":"111222333","description":"(Requerido) Identificador del nodo."},{"key":"lat","value":"37.410605","description":"(Requerido) Coordenada de latitud. [Grados decimales]"},{"key":"lon","value":"-7.023351","description":"(Requerido) Coordenada de longitud. [Grados decimales]"}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json;charset=UTF-8"},{"key":"Content-Length","value":"44"},{"key":"Date","value":"Fri, 07 Oct 2022 12:57:30 GMT"},{"key":"Keep-Alive","value":"timeout=60"},{"key":"Connection","value":"keep-alive"}],"cookie":[],"responseTime":null,"body":"{\n    \"latitude\": 37.410605,\n    \"longitude\": -7.023351\n}"}],"_postman_id":"ef4ff901-7218-4f04-9579-0431569ae584"}],"id":"89d96619-40a7-4adf-b6ee-3adfc49deddd","description":"<p>Includes the necessary endpoints for modifying certain configuration settings of nodes.</p>\n<p>The <code>SetNodeConfigGMT</code> endpoint allows for configuring the time zone of a node. The <code>setNodeConfigTime</code> endpoint can be used to modify the timing settings for measurements and sending of a node.</p>\n","_postman_id":"89d96619-40a7-4adf-b6ee-3adfc49deddd","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"<value>"}]},"isInherited":true,"source":{"_postman_id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","name":"Api Qampo EN","type":"collection"}}},{"name":"Devices","id":"1b088b36-26b9-4bae-98b6-dbed2144cd57","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"https://api.qampo.es/apiv2/api/devices","description":"<p>Returns all devices that belong to the user who owns the API key.</p>\n<blockquote>\n<p>To specify a variable in the read endpoints, it is necessary to indicate the sensor using the label tag 'publishedVariables.label'. </p>\n</blockquote>\n<h3 id=\"response\">Response</h3>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th><strong>Parameter</strong></th>\n<th><strong>Description</strong></th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>id</code></td>\n<td>Node identifier.</td>\n</tr>\n<tr>\n<td><code>owner</code></td>\n<td>Device owner user.</td>\n</tr>\n<tr>\n<td><code>coordinates</code></td>\n<td>Geographic location of the device.</td>\n</tr>\n<tr>\n<td><code>coordinates.lon</code></td>\n<td>Longitude [decimal degrees].</td>\n</tr>\n<tr>\n<td><code>coordinates.lat</code></td>\n<td>Latitude [decimal degrees].</td>\n</tr>\n<tr>\n<td><code>gmt</code></td>\n<td>Time zone in seconds.</td>\n</tr>\n<tr>\n<td><code>state</code></td>\n<td>General information about the device status.</td>\n</tr>\n<tr>\n<td><code>state.lastConnection</code></td>\n<td>Last connection [dd/MM/YY hh:mm].</td>\n</tr>\n<tr>\n<td><code>state.intTemp</code></td>\n<td>Internal temperature of the device. [ºC]</td>\n</tr>\n<tr>\n<td><code>state.battery</code></td>\n<td>Battery level. [mV]</td>\n</tr>\n<tr>\n<td><code>state.rssi</code></td>\n<td>Signal strengh (Received Signal Strength Indicator).</td>\n</tr>\n<tr>\n<td><code>sensors</code></td>\n<td>List of sensors connected to the device.</td>\n</tr>\n<tr>\n<td><code>sensors.input</code></td>\n<td>Device connection input.</td>\n</tr>\n<tr>\n<td><code>sensors.sensor</code></td>\n<td>Partial sensor name.</td>\n</tr>\n<tr>\n<td><code>sensors.label</code></td>\n<td>Sensor label.</td>\n</tr>\n<tr>\n<td><code>sensors.name</code></td>\n<td>Common name of the sensor.</td>\n</tr>\n<tr>\n<td><code>sensors.type</code></td>\n<td>Sensor type (<code>analog</code>, <code>pulses</code>, <code>i2c</code>, <code>sdi12</code>,... )</td>\n</tr>\n<tr>\n<td><code>sensors.realm</code></td>\n<td>Kingdom to which the sensor belongs. (<code>soil</code>, <code>irrigation</code>, <code>weather</code>)</td>\n</tr>\n<tr>\n<td><code>timeConfiguration</code></td>\n<td>Measurement and sending time settings.</td>\n</tr>\n<tr>\n<td><code>timeConfiguration.measureTime</code></td>\n<td>Time between measurements [minutes].</td>\n</tr>\n<tr>\n<td><code>timeConfiguration.sendTime</code></td>\n<td>Time between sendings [minutes].</td>\n</tr>\n<tr>\n<td><code>publishedVariables</code></td>\n<td>Variables generated by sensor data.</td>\n</tr>\n<tr>\n<td><code>publishedVariables.label</code></td>\n<td>Variable label.</td>\n</tr>\n<tr>\n<td><code>publishedVariables.nameEs</code></td>\n<td>Variable name in Spanish.</td>\n</tr>\n<tr>\n<td><code>publishedVariables.nameEn</code></td>\n<td>Variable name in English.</td>\n</tr>\n<tr>\n<td><code>publishedVariables.periodo</code></td>\n<td>Variable update period. (Real time / 24 hours)</td>\n</tr>\n<tr>\n<td><code>publishedVariables.primarySensor</code></td>\n<td>Sensor label that generates the variable.</td>\n</tr>\n<tr>\n<td><code>publishedVariables.type</code></td>\n<td>Kingdom to which the variable belongs.</td>\n</tr>\n<tr>\n<td><code>tags</code></td>\n<td></td>\n</tr>\n</tbody>\n</table>\n</div>","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"<value>"}]},"isInherited":true,"source":{"_postman_id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","id":"73be3d8b-1c16-44f5-b1ac-51150c3f424a","name":"Api Qampo EN","type":"collection"}},"urlObject":{"protocol":"https","path":["apiv2","api","devices"],"host":["api","qampo","es"],"query":[{"disabled":true,"key":"","value":null}],"variable":[]}},"response":[{"id":"ed470e72-b5d7-4668-a9d2-8bc3853e1a57","name":"Devices","originalRequest":{"method":"GET","header":[{"key":"apikey","value":"my-apikey","type":"text"}],"url":{"raw":"https://api.qampo.es/apiv2/api/devices","protocol":"https","host":["api","qampo","es"],"path":["apiv2","api","devices"],"query":[{"key":"","value":null,"type":"text","disabled":true}]}},"_postman_previewlanguage":"json","header":[{"key":"Content-Type","name":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"[\n    {\n        \"id\": \"1234\",\n        \"owner\": \"test@mail.com\",\n        \"coordinates\": {\n            \"latitude\": 37.410605,\n            \"longitude\": -7.023351\n        },\n        \"gmt\": 7200,\n        \"state\": {\n            \"lastConnection\": \"05/10/22 15:57\",\n            \"intTemp\": \"30.96\",\n            \"battery\": \"4110.18\",\n            \"rssi\": \"18\"\n        },\n        \"sensors\": [\n            {\n                \"input\": \"1\",\n                \"sensor\": \"soil_hum_\",\n                \"label\": \"soil_hum_1\",\n                \"name\": \"Humedad Suelo \",\n                \"type\": \"analog\",\n                \"realm\": \"soil\"\n            },\n            {\n                \"input\": \"2\",\n                \"sensor\": \"water_ce_\",\n                \"label\": \"water_ce_2\",\n                \"name\": \"EC Agua\",\n                \"type\": \"analog\",\n                \"realm\": \"irrigation\"\n            },\n            {\n                \"input\": \"3\",\n                \"sensor\": \"soil_hum_\",\n                \"label\": \"soil_hum_3\",\n                \"name\": \"Humedad Suelo \",\n                \"type\": \"analog\",\n                \"realm\": \"soil\"\n            },\n            {\n                \"input\": \"4\",\n                \"sensor\": \"soil_ce_\",\n                \"label\": \"soil_ce_4\",\n                \"name\": \"EC Suelo \",\n                \"type\": \"analog\",\n                \"realm\": \"soil\"\n            },\n            {\n                \"input\": \"5\",\n                \"sensor\": \"soil_temp_\",\n                \"label\": \"soil_temp_5\",\n                \"name\": \"Temperatura Suelo \",\n                \"type\": \"analog\",\n                \"realm\": \"soil\"\n            },\n            {\n                \"input\": \"1\",\n                \"sensor\": \"irrigation_1_\",\n                \"label\": \"irrigation_1_1\",\n                \"name\": \"Riego\",\n                \"type\": \"pulses\",\n                \"realm\": \"irrigation\"\n            },\n            {\n                \"input\": \"2\",\n                \"sensor\": \"Not Connected\",\n                \"label\": \"-\",\n                \"name\": \"Not Connected\",\n                \"type\": \"pulses\",\n                \"realm\": \"-\"\n            },\n            {\n                \"input\": \"1\",\n                \"sensor\": \"exttemp\",\n                \"label\": \"exttemp\",\n                \"name\": \"Temperatura Ambiente\",\n                \"type\": \"i2c\",\n                \"realm\": \"weather\"\n            },\n            {\n                \"input\": \"1\",\n                \"sensor\": \"exthum\",\n                \"label\": \"exthum\",\n                \"name\": \"Humedad Ambiente\",\n                \"type\": \"i2c\",\n                \"realm\": \"weather\"\n            },\n            {\n                \"input\": \"1\",\n                \"sensor\": \"Not Connected\",\n                \"label\": \"-\",\n                \"name\": \"Not Connected\",\n                \"type\": \"sdi12\",\n                \"realm\": \"-\"\n            }\n        ],\n        \"timeConfiguration\": {\n            \"measureTime\": \"15\",\n            \"sendTime\": \"60\"\n        },\n        \"publishedVariables\": [\n            {\n                \"label\": \"soil_hum_1\",\n                \"nameEs\": \"Humedad Suelo \",\n                \"nameEn\": \"Humedad Suelo \",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"soil_hum_\",\n                \"type\": \"analog\"\n            },\n            {\n                \"label\": \"water_ce_2\",\n                \"nameEs\": \"EC Agua\",\n                \"nameEn\": \"EC Agua\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"water_ce_\",\n                \"type\": \"analog\"\n            },\n            {\n                \"label\": \"soil_hum_3\",\n                \"nameEs\": \"Humedad Suelo \",\n                \"nameEn\": \"Humedad Suelo \",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"soil_hum_\",\n                \"type\": \"analog\"\n            },\n            {\n                \"label\": \"soil_ce_4\",\n                \"nameEs\": \"EC Suelo \",\n                \"nameEn\": \"EC Suelo \",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"soil_ce_\",\n                \"type\": \"analog\"\n            },\n            {\n                \"label\": \"soil_temp_5\",\n                \"nameEs\": \"Temperatura Suelo \",\n                \"nameEn\": \"Temperatura Suelo \",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"soil_temp_\",\n                \"type\": \"analog\"\n            },\n            {\n                \"label\": \"irrigation_1_1\",\n                \"nameEs\": \"Riego\",\n                \"nameEn\": \"Riego\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"irrigation_1_\",\n                \"type\": \"pulses\"\n            },\n            {\n                \"label\": \"irrigsumday\",\n                \"nameEs\": \"Riego día\",\n                \"nameEn\": \"Riego día\",\n                \"periodo\": \"24h\",\n                \"primarySensor\": \"irrigation_1_\",\n                \"type\": \"irrigation\"\n            },\n            {\n                \"label\": \"-\",\n                \"nameEs\": \"Not Connected\",\n                \"nameEn\": \"Not Connected\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"Not Connected\",\n                \"type\": \"pulses\"\n            },\n            {\n                \"label\": \"exttemp\",\n                \"nameEs\": \"Temperatura Ambiente\",\n                \"nameEn\": \"Temperatura Ambiente\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"i2c\"\n            },\n            {\n                \"label\": \"vpd\",\n                \"nameEs\": \"DPV\",\n                \"nameEn\": \"DPV\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"weather\"\n            },\n            {\n                \"label\": \"agroan_dpv_tef\",\n                \"nameEs\": \"DPV Efectiva\",\n                \"nameEn\": \"DPV Efectiva\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"weather\"\n            },\n            {\n                \"label\": \"agroan_deltat\",\n                \"nameEs\": \"Delta T\",\n                \"nameEn\": \"Delta T\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"weather\"\n            },\n            {\n                \"label\": \"agroan_prmed\",\n                \"nameEs\": \"Punto de rocío\",\n                \"nameEn\": \"Punto de rocío\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"weather\"\n            },\n            {\n                \"label\": \"agroan_th\",\n                \"nameEs\": \"Temperatura de Bulbo Húmedo\",\n                \"nameEn\": \"Temperatura de Bulbo Húmedo\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"weather\"\n            },\n            {\n                \"label\": \"agroan_tef\",\n                \"nameEs\": \"Temperatura Efectiva\",\n                \"nameEn\": \"Temperatura Efectiva\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"weather\"\n            },\n            {\n                \"label\": \"agroan_itday\",\n                \"nameEs\": \"Integral Térmica\",\n                \"nameEn\": \"Integral Térmica\",\n                \"periodo\": \"24h\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"weather\"\n            },\n            {\n                \"label\": \"agroan_coldhours\",\n                \"nameEs\": \"Hpras de Frío\",\n                \"nameEn\": \"Horas de Frío\",\n                \"periodo\": \"24h\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"weather\"\n            },\n            {\n                \"label\": \"weather_coldcompensatedh\",\n                \"nameEs\": \"Horas de Frío Compensadas\",\n                \"nameEn\": \"Horas de Frío Compensadas\",\n                \"periodo\": \"24h\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"weather\"\n            },\n            {\n                \"label\": \"agroan_frozenhours\",\n                \"nameEs\": \"Horas de Helada\",\n                \"nameEn\": \"Horas de Helada\",\n                \"periodo\": \"24h\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"weather\"\n            },\n            {\n                \"label\": \"agroan_hothours\",\n                \"nameEs\": \"Horas de calor\",\n                \"nameEn\": \"Horas de calor\",\n                \"periodo\": \"24h\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"weather\"\n            },\n            {\n                \"label\": \"weather_hrmax\",\n                \"nameEs\": \"Humedad máxima\",\n                \"nameEn\": \"Humedad máxima\",\n                \"periodo\": \"24h\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"weather\"\n            },\n            {\n                \"label\": \"weather_hrmin\",\n                \"nameEs\": \"Humedad mínima\",\n                \"nameEn\": \"Humedad mínima\",\n                \"periodo\": \"24h\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"weather\"\n            },\n            {\n                \"label\": \"weather_hrmed\",\n                \"nameEs\": \"Humedad media\",\n                \"nameEn\": \"Humedad media\",\n                \"periodo\": \"24h\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"weather\"\n            },\n            {\n                \"label\": \"weather_hrmed\",\n                \"nameEs\": \"Humedad media\",\n                \"nameEn\": \"Humedad media\",\n                \"periodo\": \"24h\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"weather\"\n            },\n            {\n                \"label\": \"weather_tmax\",\n                \"nameEs\": \"Temperatura máxima\",\n                \"nameEn\": \"Temperatura máxima\",\n                \"periodo\": \"24h\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"weather\"\n            },\n            {\n                \"label\": \"weather_tmed\",\n                \"nameEs\": \"Temperatura media\",\n                \"nameEn\": \"Temperatura media\",\n                \"periodo\": \"24h\",\n                \"primarySensor\": \"exttemp\",\n                \"type\": \"weather\"\n            },\n            {\n                \"label\": \"exthum\",\n                \"nameEs\": \"Humedad Ambiente\",\n                \"nameEn\": \"Humedad Ambiente\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"exthum\",\n                \"type\": \"i2c\"\n            },\n            {\n                \"label\": \"-\",\n                \"nameEs\": \"Not Connected\",\n                \"nameEn\": \"Not Connected\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"Not Connected\",\n                \"type\": \"sdi12\"\n            }\n        ],\n        \"tags\": []\n    },\n    {\n        \"id\": \"11223344\",\n        \"owner\": \"test@mail.com\",\n        \"coordinates\": {\n            \"latitude\": 37.407565,\n            \"longitude\": -7.021238\n        },\n        \"gmt\": 7200,\n        \"state\": {\n            \"lastConnection\": \"05/10/22 15:32\",\n            \"intTemp\": \"33.34\",\n            \"battery\": \"4123.05\",\n            \"rssi\": \"20\"\n        },\n        \"sensors\": [\n            {\n                \"input\": \"1\",\n                \"sensor\": \"soil_hum_\",\n                \"label\": \"soil_hum_1\",\n                \"name\": \"Humedad Suelo \",\n                \"type\": \"analog\",\n                \"realm\": \"soil\"\n            },\n            {\n                \"input\": \"2\",\n                \"sensor\": \"water_ce_\",\n                \"label\": \"water_ce_2\",\n                \"name\": \"EC Agua\",\n                \"type\": \"analog\",\n                \"realm\": \"irrigation\"\n            },\n            {\n                \"input\": \"3\",\n                \"sensor\": \"soil_hum_\",\n                \"label\": \"soil_hum_3\",\n                \"name\": \"Humedad Suelo \",\n                \"type\": \"analog\",\n                \"realm\": \"soil\"\n            },\n            {\n                \"input\": \"4\",\n                \"sensor\": \"soil_ce_\",\n                \"label\": \"soil_ce_4\",\n                \"name\": \"EC Suelo \",\n                \"type\": \"analog\",\n                \"realm\": \"soil\"\n            },\n            {\n                \"input\": \"5\",\n                \"sensor\": \"soil_temp_\",\n                \"label\": \"soil_temp_5\",\n                \"name\": \"Temperatura Suelo \",\n                \"type\": \"analog\",\n                \"realm\": \"soil\"\n            },\n            {\n                \"input\": \"1\",\n                \"sensor\": \"irrigation_1_\",\n                \"label\": \"irrigation_1_1\",\n                \"name\": \"Riego\",\n                \"type\": \"pulses\",\n                \"realm\": \"irrigation\"\n            },\n            {\n                \"input\": \"2\",\n                \"sensor\": \"Not Connected\",\n                \"label\": \"-\",\n                \"name\": \"Not Connected\",\n                \"type\": \"pulses\",\n                \"realm\": \"-\"\n            },\n            {\n                \"input\": \"1\",\n                \"sensor\": \"Not Connected\",\n                \"label\": \"-\",\n                \"name\": \"Not Connected\",\n                \"type\": \"i2c\",\n                \"realm\": \"-\"\n            },\n            {\n                \"input\": \"1\",\n                \"sensor\": \"Not Connected\",\n                \"label\": \"-\",\n                \"name\": \"Not Connected\",\n                \"type\": \"sdi12\",\n                \"realm\": \"-\"\n            }\n        ],\n        \"timeConfiguration\": {\n            \"measureTime\": \"15\",\n            \"sendTime\": \"60\"\n        },\n        \"publishedVariables\": [\n            {\n                \"label\": \"soil_hum_1\",\n                \"nameEs\": \"Humedad Suelo \",\n                \"nameEn\": \"Humedad Suelo \",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"soil_hum_\",\n                \"type\": \"analog\"\n            },\n            {\n                \"label\": \"water_ce_2\",\n                \"nameEs\": \"EC Agua\",\n                \"nameEn\": \"EC Agua\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"water_ce_\",\n                \"type\": \"analog\"\n            },\n            {\n                \"label\": \"soil_hum_3\",\n                \"nameEs\": \"Humedad Suelo \",\n                \"nameEn\": \"Humedad Suelo \",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"soil_hum_\",\n                \"type\": \"analog\"\n            },\n            {\n                \"label\": \"soil_ce_4\",\n                \"nameEs\": \"EC Suelo \",\n                \"nameEn\": \"EC Suelo \",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"soil_ce_\",\n                \"type\": \"analog\"\n            },\n            {\n                \"label\": \"soil_temp_5\",\n                \"nameEs\": \"Temperatura Suelo \",\n                \"nameEn\": \"Temperatura Suelo \",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"soil_temp_\",\n                \"type\": \"analog\"\n            },\n            {\n                \"label\": \"irrigation_1_1\",\n                \"nameEs\": \"Riego\",\n                \"nameEn\": \"Riego\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"irrigation_1_\",\n                \"type\": \"pulses\"\n            },\n            {\n                \"label\": \"irrigsumday\",\n                \"nameEs\": \"Riego día\",\n                \"nameEn\": \"Riego día\",\n                \"periodo\": \"24h\",\n                \"primarySensor\": \"irrigation_1_\",\n                \"type\": \"irrigation\"\n            },\n            {\n                \"label\": \"-\",\n                \"nameEs\": \"Not Connected\",\n                \"nameEn\": \"Not Connected\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"Not Connected\",\n                \"type\": \"pulses\"\n            },\n            {\n                \"label\": \"-\",\n                \"nameEs\": \"Not Connected\",\n                \"nameEn\": \"Not Connected\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"Not Connected\",\n                \"type\": \"i2c\"\n            },\n            {\n                \"label\": \"-\",\n                \"nameEs\": \"Not Connected\",\n                \"nameEn\": \"Not Connected\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"Not Connected\",\n                \"type\": \"sdi12\"\n            }\n        ],\n        \"tags\": []\n    },\n    {\n        \"id\": \"111222333444\",\n        \"owner\": \"test@mail.com\",\n        \"coordinates\": {\n            \"latitude\": 37.41211585932874,\n            \"longitude\": -7.023383464861888\n        },\n        \"gmt\": 7200,\n        \"state\": {\n            \"lastConnection\": \"05/10/22 15:16\",\n            \"intTemp\": \"32.35\",\n            \"battery\": \"4121.58\",\n            \"rssi\": \"16\"\n        },\n        \"sensors\": [\n            {\n                \"input\": \"1\",\n                \"sensor\": \"soil_hum_\",\n                \"label\": \"soil_hum_1\",\n                \"name\": \"Humedad Suelo \",\n                \"type\": \"analog\",\n                \"realm\": \"soil\"\n            },\n            {\n                \"input\": \"2\",\n                \"sensor\": \"water_ce_\",\n                \"label\": \"water_ce_2\",\n                \"name\": \"EC Agua\",\n                \"type\": \"analog\",\n                \"realm\": \"irrigation\"\n            },\n            {\n                \"input\": \"3\",\n                \"sensor\": \"soil_hum_\",\n                \"label\": \"soil_hum_3\",\n                \"name\": \"Humedad Suelo \",\n                \"type\": \"analog\",\n                \"realm\": \"soil\"\n            },\n            {\n                \"input\": \"4\",\n                \"sensor\": \"soil_ce_\",\n                \"label\": \"soil_ce_4\",\n                \"name\": \"EC Suelo \",\n                \"type\": \"analog\",\n                \"realm\": \"soil\"\n            },\n            {\n                \"input\": \"5\",\n                \"sensor\": \"soil_temp_\",\n                \"label\": \"soil_temp_5\",\n                \"name\": \"Temperatura Suelo \",\n                \"type\": \"analog\",\n                \"realm\": \"soil\"\n            },\n            {\n                \"input\": \"1\",\n                \"sensor\": \"irrigation_1_\",\n                \"label\": \"irrigation_1_1\",\n                \"name\": \"Riego\",\n                \"type\": \"pulses\",\n                \"realm\": \"irrigation\"\n            },\n            {\n                \"input\": \"2\",\n                \"sensor\": \"Not Connected\",\n                \"label\": \"-\",\n                \"name\": \"Not Connected\",\n                \"type\": \"pulses\",\n                \"realm\": \"-\"\n            },\n            {\n                \"input\": \"1\",\n                \"sensor\": \"Not Connected\",\n                \"label\": \"-\",\n                \"name\": \"Not Connected\",\n                \"type\": \"i2c\",\n                \"realm\": \"-\"\n            },\n            {\n                \"input\": \"1\",\n                \"sensor\": \"Not Connected\",\n                \"label\": \"-\",\n                \"name\": \"Not Connected\",\n                \"type\": \"sdi12\",\n                \"realm\": \"-\"\n            }\n        ],\n        \"timeConfiguration\": {\n            \"measureTime\": \"15\",\n            \"sendTime\": \"60\"\n        },\n        \"publishedVariables\": [\n            {\n                \"label\": \"soil_hum_1\",\n                \"nameEs\": \"Humedad Suelo \",\n                \"nameEn\": \"Humedad Suelo \",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"soil_hum_\",\n                \"type\": \"analog\"\n            },\n            {\n                \"label\": \"water_ce_2\",\n                \"nameEs\": \"EC Agua\",\n                \"nameEn\": \"EC Agua\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"water_ce_\",\n                \"type\": \"analog\"\n            },\n            {\n                \"label\": \"soil_hum_3\",\n                \"nameEs\": \"Humedad Suelo \",\n                \"nameEn\": \"Humedad Suelo \",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"soil_hum_\",\n                \"type\": \"analog\"\n            },\n            {\n                \"label\": \"soil_ce_4\",\n                \"nameEs\": \"EC Suelo \",\n                \"nameEn\": \"EC Suelo \",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"soil_ce_\",\n                \"type\": \"analog\"\n            },\n            {\n                \"label\": \"soil_temp_5\",\n                \"nameEs\": \"Temperatura Suelo \",\n                \"nameEn\": \"Temperatura Suelo \",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"soil_temp_\",\n                \"type\": \"analog\"\n            },\n            {\n                \"label\": \"irrigation_1_1\",\n                \"nameEs\": \"Riego\",\n                \"nameEn\": \"Riego\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"irrigation_1_\",\n                \"type\": \"pulses\"\n            },\n            {\n                \"label\": \"irrigsumday\",\n                \"nameEs\": \"Riego día\",\n                \"nameEn\": \"Riego día\",\n                \"periodo\": \"24h\",\n                \"primarySensor\": \"irrigation_1_\",\n                \"type\": \"irrigation\"\n            },\n            {\n                \"label\": \"-\",\n                \"nameEs\": \"Not Connected\",\n                \"nameEn\": \"Not Connected\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"Not Connected\",\n                \"type\": \"pulses\"\n            },\n            {\n                \"label\": \"-\",\n                \"nameEs\": \"Not Connected\",\n                \"nameEn\": \"Not Connected\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"Not Connected\",\n                \"type\": \"i2c\"\n            },\n            {\n                \"label\": \"-\",\n                \"nameEs\": \"Not Connected\",\n                \"nameEn\": \"Not Connected\",\n                \"periodo\": \"rt\",\n                \"primarySensor\": \"Not Connected\",\n                \"type\": \"sdi12\"\n            }\n        ],\n        \"tags\": []\n    }\n]"}],"_postman_id":"1b088b36-26b9-4bae-98b6-dbed2144cd57"},{"name":"Health","id":"b3991196-52a1-40e7-a765-19aa8b15de5f","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"noauth","isInherited":false},"method":"GET","header":[],"url":"https://api.qampo.es/apiv2/api/health","description":"<p>Verifies that the API is working correctly.</p>\n<h1 id=\"response\">Response</h1>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">{\n    \"code\":200,\n    \"status\":\"OK\",\n    \"msg\":\"api up!\",\n    \"httpStatus\":\"OK\"\n}\n\n</code></pre>\n","urlObject":{"protocol":"https","path":["apiv2","api","health"],"host":["api","qampo","es"],"query":[],"variable":[]}},"response":[{"id":"8b6f2923-921d-4629-aaa6-1184d900b900","name":"Example Health","originalRequest":{"method":"GET","header":[],"url":"https://api.qampo.es/apiv2/api/health"},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Server","value":"nginx/1.10.3"},{"key":"Date","value":"Wed, 05 Oct 2022 13:07:12 GMT"},{"key":"Content-Type","name":"Content-Type","value":"application/json","description":"","type":"text"},{"key":"Content-Length","value":"60"},{"key":"Connection","value":"keep-alive"},{"key":"X-Frame-Options","value":"DENY"},{"key":"X-Content-Type-Options","value":"nosniff"}],"cookie":[],"responseTime":null,"body":"{\n    \"code\": 200,\n    \"status\": \"OK\",\n    \"msg\": \"api up!\",\n    \"httpStatus\": \"OK\"\n}"}],"_postman_id":"b3991196-52a1-40e7-a765-19aa8b15de5f"}],"auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"<value>"}]}},"event":[{"listen":"prerequest","script":{"id":"1d0032e7-d929-4738-94bb-f1113009ecb6","type":"text/javascript","exec":[""]}},{"listen":"test","script":{"id":"e2180682-92ad-4e97-87f8-6be29972d1ff","type":"text/javascript","exec":[""]}}]}