MS_Clima

Name: MS_Clima
Rating: 4.5 (10 reviews)
Author: M Sayed

Intermedio

Este es unPersonal Productivityflujo de automatización del dominio deautomatización que contiene 12 nodos.Utiliza principalmente nodos como Set, Code, Merge, Telegram, OpenWeatherMap. Informe automático del tiempo con OpenWeatherMap y Telegram ☀️

Requisitos previos

•Bot Token de Telegram

Nodos utilizados (12)

Categoría

Productividad personal

Vista previa del flujo de trabajo

Visualización de las conexiones entre nodos, con soporte para zoom y panorámica

Disparador Programado

Establecer Ubicación

Clima: Actual

Clima: 5Días

Combinar

Informe: Preparar

Enviar un mensaje de texto

React Flow

Exportar flujo de trabajo

Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo

{
  "id": "BiCF5Nmdl7SK4qjp",
  "meta": {
    "instanceId": "c92a0c76586da37fb3ac600956b62e842bfa4bd5f52acc7feb4e8a6e75ca1381",
    "templateCredsSetupCompleted": true
  },
  "name": "MS_WEATHER",
  "tags": [],
  "nodes": [
    {
      "id": "4a9e2697-2172-4e55-bd17-96170d5640a8",
      "name": "Disparador Programado",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        -360,
        0
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "hours",
              "hoursInterval": 12
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "8474a7c2-523f-4da8-a9e5-bfdfa6b432df",
      "name": "Establecer Ubicación",
      "type": "n8n-nodes-base.set",
      "position": [
        -80,
        0
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "b9f4869a-2059-4b09-84e3-26c7d1e95d30",
              "name": "lat",
              "type": "string",
              "value": "={{ $env.lat }}"
            },
            {
              "id": "cc1b0b3a-4c99-4220-bfcb-439f817980a8",
              "name": "long",
              "type": "string",
              "value": "={{ $env.long }}"
            },
            {
              "id": "7d1ace36-bd24-43b1-928c-3e3b9c2dc655",
              "name": "telegram_chat_id",
              "type": "string",
              "value": "={{ $env.telegram_chat_id }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "6c789184-4971-4407-8401-334b47165daf",
      "name": "Clima: Actual",
      "type": "n8n-nodes-base.openWeatherMap",
      "position": [
        320,
        -180
      ],
      "parameters": {
        "language": "en",
        "latitude": "={{ $json.lat }}",
        "longitude": "={{ $json.long }}",
        "locationSelection": "coordinates"
      },
      "credentials": {
        "openWeatherMapApi": {
          "id": "gxU3zHUaRcFe8A4U",
          "name": "OpenWeatherMap account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "1bab62d5-d884-46e8-94af-9484a5ba2fbf",
      "name": "Clima: 5Días",
      "type": "n8n-nodes-base.openWeatherMap",
      "position": [
        320,
        180
      ],
      "parameters": {
        "language": "en",
        "latitude": "={{ $json.lat }}",
        "longitude": "={{ $json.long }}",
        "operation": "5DayForecast",
        "locationSelection": "coordinates"
      },
      "credentials": {
        "openWeatherMapApi": {
          "id": "gxU3zHUaRcFe8A4U",
          "name": "OpenWeatherMap account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "cb860b7f-2dc6-4aaf-8d7b-01d391437342",
      "name": "Combinar",
      "type": "n8n-nodes-base.merge",
      "position": [
        660,
        0
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "combineBy": "combineByPosition"
      },
      "typeVersion": 3.2
    },
    {
      "id": "43d58689-f6fa-4a88-8a3c-04cfc212b498",
      "name": "Informe: Preparar",
      "type": "n8n-nodes-base.code",
      "position": [
        920,
        0
      ],
      "parameters": {
        "jsCode": "/* ── Weather-to-Telegram Markdown  ────────────────────────────────────────────\n   Input:  $json  ← OpenWeatherMap /forecast (5-day / 3-hour) single object\n   Output: telegram-ready markdown string in  msg.markdown_report\n────────────────────────────────────────────────────────────────────────────── */\n\nconst data = $json;                // full API response\nconst city = data.city;            // city block\nconst blocks = data.list ?? [];    // 3-hour forecasts\n\n/* ── helpers ──────────────────────────────────────────────────────────────── */\nconst esc = t => t.toString().replace(/[_*[\\]()~`>#+\\-=|{}.!]/g, '\\\\$&');\nconst fmtT = t => `${Math.round(t)}°C`;\nconst fmtDay = ts => new Date(ts * 1000)\n\t.toLocaleDateString('en-US', { weekday:'short', month:'short', day:'numeric' });\nconst emoji = id => (\n\tid === 800 ? '☀️' :\n\tid >= 801 && id <= 804 ? '☁️' :\n\tid >= 200 && id <= 232 ? '⛈️' :\n\tid >= 300 && id <= 321 ? '🌦️' :\n\tid >= 500 && id <= 531 ? '🌧️' :\n\tid >= 600 && id <= 622 ? '❄️'  :\n\tid >= 700 && id <= 781 ? '🌫️'  : '🌤️'\n);\n\n/* ── aggregate daily lows / highs (and grab a noon sample for the icon) ──── */\nconst days = {};   // key = yyyy-mm-dd\n\nfor (const b of blocks) {\n\tconst d = new Date(b.dt * 1000);\n\tconst key = d.toISOString().slice(0,10);           // YYYY-MM-DD\n\tconst bucket = days[key] ?? (days[key] = {\n\t\ttsNoon : b.dt,          // will be overwritten until closest to 12:00\n\t\ticonId : b.weather[0].id,\n\t\tdesc   : b.weather[0].main,\n\t\tlo     : b.main.temp_min,\n\t\thi     : b.main.temp_max\n\t});\n\n\tbucket.lo = Math.min(bucket.lo, b.main.temp_min);\n\tbucket.hi = Math.max(bucket.hi, b.main.temp_max);\n\n\t// keep icon sample closest to noon (12:00 ±1h)\n\tconst hr = d.getHours();\n\tif (Math.abs(hr - 12) < Math.abs(new Date(bucket.tsNoon*1000).getHours() - 12)) {\n\t\tbucket.tsNoon = b.dt;\n\t\tbucket.iconId = b.weather[0].id;\n\t\tbucket.desc   = b.weather[0].main;\n\t}\n}\n\n/* sort days & take first 5 */\nconst dayKeys = Object.keys(days).sort().slice(0,5);\n\n/* today’s range (index 0) */\nconst today = days[dayKeys[0]];\n\n/* ── build markdown ───────────────────────────────────────────────────────── */\nconst ln = '\\n';\nconst hr = '\\n──────────\\n';\n\nlet md  = `*${esc(city.name)}, ${esc(city.country)} – Weather*${hr}`;\n\nmd += '*Now*\\n';\nmd += `🌡️ Temp: \\`${fmtT(data.list[0].main.temp)}\\`  (feels like \\`${fmtT(data.list[0].main.feels_like)}\\`)${ln}`;\nmd += `📉 Low / High today: \\`${fmtT(today.lo)} – ${fmtT(today.hi)}\\`${ln}`;\nmd += `🛰️ Condition: \\`${esc(data.list[0].weather[0].description)}\\`${ln}`;\nmd += `💧 Humidity: \\`${data.list[0].main.humidity}%\\`    `;\nmd += `💨 Wind: \\`${Math.round(data.list[0].wind.speed*3.6)} km/h\\`${hr}`;\n\nmd += '*5-Day Forecast*' + ln;\nfor (const k of dayKeys) {\n\tconst d = days[k];\n\tmd += `➡️ *${esc(fmtDay(d.tsNoon))}* `;\n\tmd += `\\`${fmtT(d.lo)} – ${fmtT(d.hi)}\\` `;\n\tmd += `${emoji(d.iconId)} _${esc(d.desc)}_\\n`;\n}\n\n/* ── return for Telegram node ─────────────────────────────────────────────── */\nreturn { json: { markdown_report: md }};"
      },
      "typeVersion": 2
    },
    {
      "id": "7cab6251-db7f-4fb0-ad08-bf0e060cfc64",
      "name": "Enviar un mensaje de texto",
      "type": "n8n-nodes-base.telegram",
      "position": [
        1240,
        0
      ],
      "webhookId": "5738ca6e-ad42-4f46-8938-bf37c033ec3e",
      "parameters": {
        "text": "={{ $json.markdown_report }}",
        "chatId": "={{ $('Set Location').item.json.telegram_chat_id }}",
        "additionalFields": {
          "parse_mode": "Markdown",
          "appendAttribution": false
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "OymlVCuTPYhVa2B9",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "c4f57a04-c22d-4f7b-a0aa-dd08c384d4bd",
      "name": "Nota Adhesiva",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -140,
        -140
      ],
      "parameters": {
        "color": 5,
        "width": 220,
        "height": 340,
        "content": "## Set inputs \n- lat\n- long\n- telegram_chat_id"
      },
      "typeVersion": 1
    },
    {
      "id": "8b144fce-d64a-42ec-b381-c49ff7f5fc89",
      "name": "Nota Adhesiva1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        260,
        -240
      ],
      "parameters": {
        "color": 4,
        "width": 220,
        "height": 220,
        "content": "## Current Weather"
      },
      "typeVersion": 1
    },
    {
      "id": "440fb2e0-148a-4d4c-85f3-1031f13e0554",
      "name": "Nota Adhesiva2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        260,
        120
      ],
      "parameters": {
        "color": 4,
        "width": 220,
        "height": 220,
        "content": "## 5-Day Weather"
      },
      "typeVersion": 1
    },
    {
      "id": "a537e327-dfcc-455c-a821-1d5d2f4cae21",
      "name": "Nota Adhesiva3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        860,
        -60
      ],
      "parameters": {
        "color": 3,
        "width": 220,
        "height": 220,
        "content": "## Report"
      },
      "typeVersion": 1
    },
    {
      "id": "493b915f-b04b-445f-b603-6378463b6e91",
      "name": "Nota Adhesiva4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1180,
        -60
      ],
      "parameters": {
        "color": 6,
        "width": 220,
        "height": 220,
        "content": "## Send"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "a7059c98-a414-42fb-a0b5-5991d90e4dcf",
  "connections": {
    "cb860b7f-2dc6-4aaf-8d7b-01d391437342": {
      "main": [
        [
          {
            "node": "43d58689-f6fa-4a88-8a3c-04cfc212b498",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "8474a7c2-523f-4da8-a9e5-bfdfa6b432df": {
      "main": [
        [
          {
            "node": "6c789184-4971-4407-8401-334b47165daf",
            "type": "main",
            "index": 0
          },
          {
            "node": "1bab62d5-d884-46e8-94af-9484a5ba2fbf",
            "type": "main",
            "index": 0
          }
        ]
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    },
    "1bab62d5-d884-46e8-94af-9484a5ba2fbf": {
      "main": [
        [
          {
            "node": "cb860b7f-2dc6-4aaf-8d7b-01d391437342",
            "type": "main",
            "index": 1
          }
        ]
      ]
    },
    "43d58689-f6fa-4a88-8a3c-04cfc212b498": {
      "main": [
        [
          {
            "node": "7cab6251-db7f-4fb0-ad08-bf0e060cfc64",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "4a9e2697-2172-4e55-bd17-96170d5640a8": {
      "main": [
        [
          {
            "node": "8474a7c2-523f-4da8-a9e5-bfdfa6b432df",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "6c789184-4971-4407-8401-334b47165daf": {
      "main": [
        [
          {
            "node": "cb860b7f-2dc6-4aaf-8d7b-01d391437342",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

Preguntas frecuentes

¿Cómo usar este flujo de trabajo?

Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.

¿En qué escenarios es adecuado este flujo de trabajo?

Intermedio - Productividad personal

¿Es de pago?

Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.