@machinechat/node-red-node-machinechat-bridge/services/connector/machinechat-bridge.html

Machinechat Bridge forwards Node-RED messages to Machinechat data visualization, monitoring, and analytics applications. Effortlessly upgrade Node-RED flows with web-based user interface, responsive custom dashboards, timeseries data storage, role-based u

<script type="text/html" data-template-name="machinechat-bridge">
  <div class="form-row">
    <label for="node-input-inputHostURL" style="display: inline-block; width: auto; vertical-align: middle;"
      ><i class="fa fa-globe"></i> <span> Host Address</span></label
    >
    <input type="text" id="node-input-inputHostURL" placeholder="127.0.0.1" style="display: inline-block; width: 100%; vertical-align: middle;" />
  </div>
  <div class="form-row">
    <label for="node-input-inputPort" style="display: inline-block; width: auto; vertical-align: middle;"
      ><i class="fa fa-server"></i> <span> Port</span></label
    >
    <input type="text" id="node-input-inputPort" placeholder="8100" style="display: inline-block; width: 100%; vertical-align: middle;" />
  </div>
  <div class="form-row">
    <label for="node-input-inputUniqueIdentifier" style="display: inline-block;width: auto; vertical-align: middle;"
      ><i class="fa fa-id-card"></i> <span> Unique Identifier </span></label
    >
    <input
      type="text"
      id="node-input-inputUniqueIdentifier"
      placeholder="Unique Identifier or {{payload.id}}"
      style="display: inline-block; width: 100%; vertical-align: middle;"
    />
  </div>

  <div class="form-row">
    <input
    type="checkbox" 
      id="node-input-copyMachinechatData"
      style="display: inline-block; width: auto; vertical-align: top;" 
      autocomplete="off"
    />
    <label for="node-input-copyMachinechatData" style="width: auto">Copy Machinechat Data to Payload</label>
  </div>

  <div class="form-row hide">
    <label for="node-input-field"
      ><i class="fa fa-ellipsis-h"></i> <span> Property</span></label
    >
    <input
      type="text"
      id="node-input-field"
      placeholder="payload"
      style="width:250px;"
    />
    <input type="hidden" id="node-input-fieldType" />
  </div>
  <div class="form-row hide">
    <label for="node-input-output"
      ><i class="fa fa-long-arrow-right"></i> <span> output </span></label
    >
    <select id="node-input-output" style="width:180px;">
      <option value="str">plain</option>
      <option value="json">json</option>
      <option value="yaml">yaml</option>
    </select>
  </div>
</script>

<script type="text/javascript">
  RED.nodes.registerType("machinechat-bridge", {
    category: "Machinechat",
    color: "#FFAAAA",
    defaults: {
      inputHostURL: { value: "", required: true },
      inputPort: { value: "", required: true },
      inputUniqueIdentifier: {
        value: "",
        required: true,
        validate: RED.validators.regex(/^.{6,}$/),
      },
      copyMachinechatData: { value: ""},
      field: {
        value: "payload",
        validate: RED.validators.typedInput("fieldType"),
      },
      fieldType: { value: "msg" },
      output: { value: "json" },
    },
    inputs: 1,
    outputs: 1,
    icon: "mc-logo.png",
    align: "right",
    inputLabels: ["Expects input on msg.payload"],
    label: "Machinechat Bridge",
    oneditprepare: function () {
      var that = this;
      if (!this.field) {
        this.field = "payload";
        $("#node-input-field").val("payload");
      }
      if (!this.fieldType) {
        this.fieldType = "msg";
      }
      if (!this.syntax) {
        this.syntax = "mustache";
        $("#node-input-syntax").val(this.syntax);
      }
      $("#node-input-field").typedInput({
        default: "msg",
        types: ["msg", "flow", "global"],
        typeField: $("#node-input-fieldType"),
      });
    }
  });
</script>

<script type="text/html" data-help-name="machinechat-bridge">
  <p>
    Machinechat Bridge forwards Node-RED messages to Machinechat data visualization, monitoring, and analytics applications. Effortlessly upgrade Node-RED flows with web-based user interface, responsive custom dashboards, timeseries data storage, role-based user management, and more.
  </p>

  <img
    style="max-width: 720px"
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