API REST cuya finalidad es acceder a la información generada por la plataforma Qampo.
\nhttps://api.qampo.es/apiv2/api/
Para autenticarse es necesaria una apikey que se debe incluir en la cabecera de cada petición que se realice.
\nEl mensaje de error se devuelve en formato JSON con los siguientes campos:
\n{\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\nDevuelve los últimos valores del último día (o de los últimos días indicados) de las variables publicadas por una estación. Por defecto devuelve los valores de el último día de todos los sensores.
\n","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"(Opcional) Lista de variables a consultar. Por defecto todas.
\n","type":"text/plain"},"key":"sensors","value":""},{"disabled":true,"description":{"content":"(Opcional) Número de decimales de las medidas de los sensores. Admite valores de 1 a 5. Por defecto 2.
\n","type":"text/plain"},"key":"trunc","value":""},{"disabled":true,"description":{"content":"(Opcional) Numero de días a consultar. Por defecto devuelve el último día.
\n","type":"text/plain"},"key":"days","value":""},{"disabled":true,"description":{"content":"(Requerido) Identificador del nodo.
\n","type":"text/plain"},"key":"nodeid","value":""}],"variable":[]}},"response":[{"id":"3caa0b7a-10f8-4101-a94c-cf7f0d8b4222","name":"Ejemplo Get Last Values","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":"(Requerido) Identificador del nodo."},{"key":"sensors","value":"soil_hum_1,vpd","description":"(Opcional) Lista de variables a consultar. Por defecto todas."},{"key":"days","value":"3","description":"(Opcional) Numero de días a consultar. Por defecto devuelve el último día."},{"key":"trunc","value":"2","description":"(Opcional) Número de decimales de las medidas de los sensores. Admite valores de 1 a 5. Por defecto 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\": 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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\": 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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":"3ef2d147-8964-4013-b8aa-c908525d8b00"},{"name":"Get Values","id":"df6e6412-e86a-4245-ba1e-20d93764d377","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"https://api.qampo.es/apiv2/api/getValues","description":"Obtiene los valores de cada parámetro (o de los parámetros indicados) de un nodo entre dos instantes de tiempo.
\n","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"(Requerido) Identificador del nodo.
\n","type":"text/plain"},"key":"nodeid","value":""},{"disabled":true,"description":{"content":"(Requerido) Timestamp [ms] de inicio de consulta.
\n","type":"text/plain"},"key":"ts_start","value":""},{"disabled":true,"description":{"content":"(Requerido) Timestamp [ms] de fin de consulta.
\n","type":"text/plain"},"key":"ts_end","value":""},{"disabled":true,"description":{"content":"(Opcional) Lista de variables a consultar. Por defecto todos.
\n","type":"text/plain"},"key":"sensors","value":""},{"disabled":true,"description":{"content":"(Opcional) Número de decimales de las medidas de los sensores. Admite valores de 1 a 5. Por defecto 2.
\n","type":"text/plain"},"key":"trunc","value":""},{"disabled":true,"description":{"content":"(Opcional) Indica si los ts requeridos estan en hora UTC. Por defecto están en la hora local del nodo.
\n","type":"text/plain"},"key":"utc","value":""}],"variable":[]}},"response":[{"id":"9f720378-5c06-47f9-b00d-d567c95e2bd3","name":"Ejemplo Get Values","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":"(Requerido) Identificador del nodo."},{"key":"ts_start","value":"1660514499000","description":"(Requerido) Timestamp [ms] de inicio de consulta."},{"key":"ts_end","value":"1660537479000","description":"(Requerido) Timestamp [ms] de fin de consulta."},{"key":"sensors","value":"soil_hum_1,weather_tmed","description":"(Opcional) Lista de variables a consultar. Por defecto todos."},{"key":"trunc","value":"3","description":"(Opcional) Número de decimales de las medidas de los sensores. Admite valores de 1 a 5. Por defecto 2."},{"key":"utc","value":"","description":"(Opcional) Indica si los ts requeridos estan en hora UTC. Por defecto están en la hora local del nodo.","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":"df6e6412-e86a-4245-ba1e-20d93764d377"},{"name":"Get Statistics","id":"5b3026ec-6aa8-436a-b7ef-876fda1e2d7c","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"https://api.qampo.es/apiv2/api/getStatistics","description":"Devuelve un resumen estadístico de una variable entre un intervalo de tiempo determinado.
\nSi no se indica un intervalo se recibe un resumen estadístico del día actual.
\n\n\nPara definir el intervalo de tiempo son necesarios tanto el timestamp de inicio
\nts_startcomo de fints_end.
El resumen estadístico incluye:
\n","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"(Requerido) Identificador del nodo.
\n","type":"text/plain"},"key":"nodeid","value":""},{"disabled":true,"description":{"content":"(Requerido) Variable a consultar.
\n","type":"text/plain"},"key":"sensor","value":""},{"disabled":true,"description":{"content":"(Opcional) Opción para obtener las medidas que han generado el resumen.
\n","type":"text/plain"},"key":"dots","value":""},{"disabled":true,"description":{"content":"(Opcional) Timestamp en hora local del nodo de inicio. Si no se indica un intervalo se obtiene el resumen de estadísticas del día actual.
\n","type":"text/plain"},"key":"ts_start","value":""},{"disabled":true,"description":{"content":"(Opcional) Timestamp en hora local del nodo de fin. Si no se indica un intervalo se obtiene el resumen de estadísticas del día actual.
\n","type":"text/plain"},"key":"ts_end","value":""},{"disabled":true,"description":{"content":"(Optional) Indicates whether the required timestamps are in UTC time. By default, they are in the local time of the node.
\n","type":"text/plain"},"key":"utc","value":""}],"variable":[]}},"response":[{"id":"c3a39d69-a5c6-4552-a4aa-ffdf4ed159d6","name":"Ejemplo getStatistics","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":"(Requerido) Identificador del nodo."},{"key":"sensor","value":"soil_hum_1","description":"(Requerido) Variable a consultar."},{"key":"dots","value":"true","description":"(Opcional) Opción para obtener las medidas que han generado el resumen.","disabled":true},{"key":"ts_start","value":"1667138091000","description":"(Opcional) Timestamp en hora local del nodo de inicio. Si no se indica un periodo se obtiene el resumen de estad'isticas del dia actual."},{"key":"ts_end","value":"1667520000000","description":"(Opcional) Timestamp en hora local del nodo de fin. Si no se indica un periodo se obtiene el resumen de estad'isticas del dia actual."},{"key":"utc","value":"false","description":"(Opcional) Indica si los ts requeridos estan en hora UTC. Por defecto están en la hora local del nodo.","disabled":true}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json"},{"key":"Content-Length","value":"179"},{"key":"Date","value":"Tue, 08 Nov 2022 15:26:27 GMT"},{"key":"Keep-Alive","value":"timeout=60"},{"key":"Connection","value":"keep-alive"}],"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":"84a7d918-f541-4275-9e9d-4e2d8bf7fcff","name":"Ejemplo getStatistics 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":"(Requerido) Identificador del nodo."},{"key":"sensor","value":"soil_hum_1","description":"(Requerido) Variable a consultar."},{"key":"dots","value":"true","description":"(Opcional) Opción para obtener las medidas que han generado el resumen."},{"key":"ts_start","value":"1667138091000","description":"(Opcional) Timestamp en hora local del nodo de inicio. Si no se indica un periodo se obtiene el resumen de estad'isticas del dia actual."},{"key":"ts_end","value":"1667520000000","description":"(Opcional) Timestamp en hora local del nodo de fin. Si no se indica un periodo se obtiene el resumen de estad'isticas del dia actual."},{"key":"utc","value":"false","description":"(Opcional) Indica si los ts requeridos estan en hora UTC. Por defecto están en la hora local del nodo.","disabled":true}]}},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json"},{"key":"Content-Length","value":"179"},{"key":"Date","value":"Tue, 08 Nov 2022 15:26:27 GMT"},{"key":"Keep-Alive","value":"timeout=60"},{"key":"Connection","value":"keep-alive"}],"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":"5b3026ec-6aa8-436a-b7ef-876fda1e2d7c"}],"id":"708ee447-028c-4c73-9c1d-d2342c4adfb8","description":"Incluye los endpoints de lectura de los sensores de los dispositivos y de la información generada por la plataforma Qampo, esto es las variables publicadas por la estación en concreto.
\n\n\nPara especificar la variable o variables a consultar es necesario indicar la etiqueta (referenciada como label) de dicha variable. Las distintas etiquetas de las variables se pueden consultar desde el endpoint 'Devices', consultando el parámetro 'publishedVariables.label' de cada variable que publica el dispositivo.
\n
Los datos de los dispositivos se devuelven como una lista de objetos dot, cada dot consta de un valor y una marca de tiempo en millisegundos. Para mayor comodidad la marca de tiempo se encuentra en el huso horario de la estación
Ejemplo dot
{\n \"value\": \"10.33\",\n \"timestamp\": 1664755260000\n}\n\nRegistra las coordenadas una nueva ubicación para darla de alta en el servicio de predicción.
\n\n\n","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"En el objeto de respuesta incluye el identificador
\nidde la ubicación que será necesario para solicitar la predicción.
(Requerido) Nombre de la ubicación.
\n","type":"text/plain"},"key":"name","value":""},{"disabled":true,"description":{"content":"(Requerido) Latitud de la ubicacion. [Grados decimales]
\n","type":"text/plain"},"key":"lat","value":""},{"disabled":true,"description":{"content":"(Requerido) Longitud de la ubicacion. [Grados decimales]
\n","type":"text/plain"},"key":"lon","value":""}],"variable":[]}},"response":[{"id":"5c3fa475-e609-4eb8-979e-96e2054e1815","name":"Ejemplo New Location","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":"(Requerido) Nombre de la ubicación."},{"key":"lat","value":"41.64","description":"(Requerido) Latitud de la ubicacion. [Grados decimales]"},{"key":"lon","value":"-4.72","description":"(Requerido) Longitud de la ubicacion. [Grados decimales]"}]}},"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":"eb2b37b4-eabb-416e-afbf-1168f8f7636b"},{"name":"getForecast","id":"4c2bcc2f-c5f7-4607-a4c1-025edfe3d2e6","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"https://api.qampo.es/apiv2/api/getForecast","description":"Obtiene la predicción de tiempo de 4 días de una localización dada de alta.
\nRespuesta
\n","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"(Requerido) Identificador de las coordenadas dadas de alta.
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\"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":"4c2bcc2f-c5f7-4607-a4c1-025edfe3d2e6"},{"name":"getForecastLocations","id":"35ba1f0b-d303-4143-988d-541a8fdcb0bb","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"https://api.qampo.es/apiv2/api/getForecastLocations","description":"Devuelve una lista con cada una de las ubicaciones dadas de alta por el usuario para el servicio de predicción.
\n","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"Inluye los endpoints de predicción climática.
\nPara poder obtener la predicción climática de unas coordenadas, es necesario que estas estén dadas de alta previamente.
\nEl endpoint NewLocation permite registrar una nueva ubicación, mientras que con el endpoint getForecastLocations se pueden consultar las ubicaciones registradas.
El endpoint getForecast permite consultar la predicción climatica de una ubicación dada de alta a partir de su identificador.
Actualiza el huso horario del nodo. El parámetro gmt indica el huso horario en segundos.
(Requerido) Identificador del nodo.
\n","type":"text/plain"},"key":"nodeid","value":""},{"disabled":true,"description":{"content":"(Requerido) Diferencia horaria respecto a la hora UTC en segundos. p.e. Para UTC +2, gmt = 7200
\n","type":"text/plain"},"key":"gmt","value":""}],"variable":[]}},"response":[{"id":"06e1f4a2-fb29-4bf0-afb7-51e186bcc466","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":"25656bbe-8a69-4556-8109-03da59b0a7ef"},{"name":"setNodeConfigTime","id":"23f942e6-4170-4d19-ac04-ee5fe1bd0b27","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[],"url":"https://api.qampo.es/apiv2/api/setNodeConfigTime","description":"Actualiza la configuración de tiempo de medida measure_time y tiempo/periodo de envío sending_period del nodo. Parámetros en minutos.
\n\n","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"El tiempo de medida y envío deben ser proporcionales. Además, el tiempo de medida no puede ser inferior a 30 minutos mientras que el periodo de envío no puede ser inferior a 10 minutos. Para otras configuraciones contacte con soporte.
\n
(Requerido) Identificador del nodo.
\n","type":"text/plain"},"key":"nodeid","value":""},{"disabled":true,"description":{"content":"(Requerido) Tiempo entre cada medida (minutos). No puede ser inferior a 10 minutos.
\n","type":"text/plain"},"key":"measure_time","value":""},{"disabled":true,"description":{"content":"(Requerido) Tiempo entre cada envío (minutos). Debe ser proporcional al tiempo de medida y no puede ser inferior a 30 minutos.
\n","type":"text/plain"},"key":"sending_period","value":""}],"variable":[]}},"response":[{"id":"123fb288-464f-4679-873b-67536b64d3a1","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":"23f942e6-4170-4d19-ac04-ee5fe1bd0b27"},{"name":"setNodePosition","id":"ca138be4-ea3b-43f1-b06c-31124c3e1276","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[],"url":"https://api.qampo.es/apiv2/api/setNodePosition","description":"Actualiza las ubicación del nodo.
\n\n\n","auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"Las coordenadas de latitud
\nlaty de longitudlondeben introducirse en grados decimales.
(Requerido) Identificador del nodo.
\n","type":"text/plain"},"key":"nodeid","value":""},{"disabled":true,"description":{"content":"(Requerido) Coordenada de latitud. [Grados decimales]
\n","type":"text/plain"},"key":"lat","value":""},{"disabled":true,"description":{"content":"(Requerido) Coordenada de longitud. [Grados decimales]
\n","type":"text/plain"},"key":"lon","value":""}],"variable":[]}},"response":[{"id":"7136a0b7-4408-47d9-8d46-7134a17bd828","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":"ca138be4-ea3b-43f1-b06c-31124c3e1276"}],"id":"c20d1041-1e06-4998-a010-fb472cd2a893","description":"Incluye los enpoints necesarios para modificar cierta configuración de los nodos.
\nEl endpoint SetNodeConfigGMT permite configurar el huso horario de un nodo. Con el endpoint setNodeConfigTime se puede modificar la configuración de tiempos de medida y envío de un nodo.
Devuelve todos los dispositivos que pertenecen al usuario propietario de la apikey.
\nEste endpoint describe cada una de las estaciones pertenecientes al usuario propietario de la apikey. Tal como se puede ver en la respuesta, es posible ver, las coordenadas de la estación, el huso horario, el estado de la misma, los sensores conectados, la configuración de tiempos de medida y envío, y las variables que publica la estación.
\nLas variables publicadas son las variables que pueden aportar los sensores de forma directa o de forma indirecta, esto es, por ejemplo a través de la variable temperatura se generan otras variables, tal como, la temperatura máxima, mínima, media, o la integral térmica u horas de frío. Todas las variables tanto directas, como indirectas se encuentran en variables publicadas. Las variables indirectas pueden ser generadas en tiempo real (esto es cada vez que la estación realiza una medida) o cada 24h, esto se ve en el campo periodo.
\n\n\nPara especificar una variable en los endpoints de lectura es necesario indicar el sensor mediante la etiqueta
\npublishedVariables.label.
Comprueba que la API está funcionando correctamente.
\n{\n \"code\":200,\n \"status\":\"OK\",\n \"msg\":\"api up!\",\n \"httpStatus\":\"OK\"\n}\n\nEstado del cultivo: current, finalized, all
\n","type":"text/plain"},"key":"state","value":"current"},{"description":{"content":"Cultivo
\n","type":"text/plain"},"key":"crop","value":"Frambuesa"}],"variable":[]}},"response":[],"_postman_id":"30b4297d-65c4-43e6-8048-02a7c0112fa9"}],"auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"apikey"},{"key":"value","value":"