MONDAY GET FULL ITEM
工作流概述
这是一个包含26个节点的复杂工作流，主要用于自动化处理各种任务。
工作流源代码
{
"id": "ZdGZh4qmOqTQe1oq",
"meta": {
"instanceId": "da824ad45fda1b156c8390a3c35cdfbb10059e671c074c19429dac59c5ae98f6"
},
"name": "MONDAY GET FULL ITEM",
"tags": [
{
"id": "uKg1PU2D27Vsr8ud",
"name": "MONDAY",
"createdAt": "2023-12-05T07:54:13.266Z",
"updatedAt": "2023-12-05T07:54:13.266Z"
}
],
"nodes": [
{
"id": "20299349-bc2c-4aa8-b083-db31cb9aa278",
"name": "GET ALL COLUMNS",
"type": "n8n-nodes-base.code",
"position": [
1840,
-600
],
"parameters": {
"jsCode": "function createColumnValuesArray(data) {
const result = {};
data.forEach(item => {
const name = item.id;
result[name] = item;
});
return result;
}
columns = $input.last().json.column_values
data1 = { \"name\" : $input.last().json.name, \"id\" : $input.last().json.id }
data2 = createColumnValuesArray(columns)
const combinedData = { \"item\" : data1, columnValuesById: data2}
return (combinedData)
"
},
"typeVersion": 2
},
{
"id": "04c2550e-41d8-46f4-a131-2ea99dd4258a",
"name": "GET ALL RELATIONS",
"type": "n8n-nodes-base.code",
"position": [
1860,
-220
],
"parameters": {
"jsCode": "var data = $input.last().json.columnValuesById;
i = 0;
relations = [];
for (var key in data) {
if (data[key].type == \"board_relation\") {
relations[i] = data[key];
i++
}
}
return relations;
"
},
"typeVersion": 2
},
{
"id": "5796cb17-199b-4838-ae9c-c3636824bd13",
"name": "PULL LINKEDPULSE1",
"type": "n8n-nodes-base.mondayCom",
"position": [
1720,
-40
],
"parameters": {
"itemId": "=
{{ $json.linkedPulse.linkedPulseId }}",
"resource": "boardItem",
"operation": "get"
},
"credentials": {
"mondayComApi": {
"id": "5nd48DKapWBLcUBx",
"name": "Monday.com account"
}
},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "67a8a151-5875-4ec7-8fda-f797f3d3b198",
"name": "GET LINKEDPULSES1",
"type": "n8n-nodes-base.code",
"position": [
1340,
-40
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "data = $input.item.json.value
id = $input.item.json.id
name = $input.item.json.column.title
const linkedPulseID = JSON.parse(data).linkedPulseIds
return { \"linkedPulse\": linkedPulseID, \"id\" : id, \"name\": name }
"
},
"typeVersion": 2
},
{
"id": "5dbe451d-ec23-48bf-9193-55a03b8752a4",
"name": "SPLIT LINKED PULSES1",
"type": "n8n-nodes-base.splitOut",
"position": [
1540,
-40
],
"parameters": {
"include": "=",
"options": {},
"fieldToSplitOut": "linkedPulse"
},
"typeVersion": 1
},
{
"id": "536897b1-ed71-4888-9761-cb4a363f0a86",
"name": "SPLIT SUBITEMS1",
"type": "n8n-nodes-base.splitOut",
"position": [
1540,
200
],
"parameters": {
"include": "selectedOtherFields",
"options": {},
"fieldToSplitOut": "linkedPulseIds",
"fieldsToInclude": "linkedPulseIds[0].linkedPulseId"
},
"typeVersion": 1
},
{
"id": "57777d0c-77d0-4652-a798-2d347b12cfb4",
"name": "GET EACH SUBITEM1",
"type": "n8n-nodes-base.mondayCom",
"position": [
1700,
200
],
"parameters": {
"itemId": "=
{{ $json.linkedPulseIds.linkedPulseId }}",
"resource": "boardItem",
"operation": "get"
},
"credentials": {
"mondayComApi": {
"id": "5nd48DKapWBLcUBx",
"name": "Monday.com account"
}
},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "1a7574db-16bb-4d69-b91f-33b20e52c794",
"name": "GET ALL COLUMNS1",
"type": "n8n-nodes-base.code",
"position": [
1880,
200
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "function createColumnValuesArray(data) {
const result = {};
data.forEach(item => {
const name = item.id;
result[name] = item;
});
return result;
}
columns = $input.item.json.column_values
data1 = { \"name\" : $input.item.json.name, \"id\" : $input.item.json.id }
data2 = createColumnValuesArray(columns)
const combinedData = { ...data1, ...data2 }
return (combinedData)
"
},
"typeVersion": 2
},
{
"id": "ba95aef3-49b3-4a3e-a5fd-51ec04691949",
"name": "GET ALL COLUMNS2",
"type": "n8n-nodes-base.code",
"position": [
1840,
-420
],
"parameters": {
"jsCode": "function createColumnValuesArray(data) {
const result = {};
data.forEach(item => {
if (item.type != \"subtasks\") {
const name = item.column.title;
result[name] = item;
}
});
return result;
}
columns = $input.last().json.column_values
data = createColumnValuesArray(columns)
return {\"columnValuesByName\": data}
"
},
"typeVersion": 2
},
{
"id": "8c475537-efe6-4417-b293-e47abe817f7a",
"name": "Aggregate1",
"type": "n8n-nodes-base.aggregate",
"onError": "continueRegularOutput",
"position": [
2180,
100
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "subitems"
},
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "f96f5fb7-1701-4cf4-b572-2ed3d8376232",
"name": "PULL SUBITEMS",
"type": "n8n-nodes-base.code",
"position": [
1320,
200
],
"parameters": {
"jsCode": "//Search for \"Subitems\" column
const columnName = \"Subitems\"
function getColumnValue(item, columnId) {
const column = item.column_values.find(column => column.column.title === columnId);
if (column) {
return column
} else {
return null;
}
}
const columnValue = getColumnValue($input.last().json, columnName);
return JSON.parse(columnValue.value);
//ALT OPTION - direct access by column_values[0]
//var ids = $input.last().json['column_values'][0]['value'];
//return JSON.parse(ids)"
},
"typeVersion": 2
},
{
"id": "aa96e7e9-6c2a-46d4-95af-124609a7b524",
"name": "GET ITEM",
"type": "n8n-nodes-base.mondayCom",
"position": [
1180,
-600
],
"parameters": {
"itemId": "=
{{ $input.item.json.pulse }}",
"resource": "boardItem",
"operation": "get"
},
"credentials": {
"mondayComApi": {
"id": "5nd48DKapWBLcUBx",
"name": "Monday.com account"
}
},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "da23cad1-77f9-4035-8ad3-b322dadba853",
"name": "GET ALL COLUMNS3",
"type": "n8n-nodes-base.code",
"position": [
1880,
-40
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "function createColumnValuesArray(data) {
const result = {};
data.forEach(item => {
const name = item.id;
result[name] = item;
});
return result;
}
columns = $input.item.json.column_values
data1 = { \"name\" : $input.item.json.name, \"id\" : $input.item.json.id }
data2 = createColumnValuesArray(columns)
const combinedData = { \"item\" : data1, columnValuesById: data2}
return (combinedData)
"
},
"typeVersion": 2
},
{
"id": "9c27b7af-2568-4b07-b526-9c18ca52649f",
"name": "Merge4",
"type": "n8n-nodes-base.merge",
"position": [
2180,
-100
],
"parameters": {
"mode": "combine",
"options": {},
"combinationMode": "mergeByPosition"
},
"typeVersion": 2.1,
"alwaysOutputData": true
},
{
"id": "6f0008fd-b8f5-4161-8fbf-363b3d5a7794",
"name": "Aggregate",
"type": "n8n-nodes-base.aggregate",
"onError": "continueRegularOutput",
"position": [
2340,
-100
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "boardrelations"
},
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "d95b1e2a-405e-417b-8618-89af85b10350",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"onError": "continueRegularOutput",
"position": [
2540,
0
],
"parameters": {
"mode": "combine",
"options": {},
"combinationMode": "mergeByPosition"
},
"typeVersion": 2.1,
"alwaysOutputData": true
},
{
"id": "e9d7977d-1fd3-4be8-ad90-b42a93bc1ea4",
"name": "Merge2",
"type": "n8n-nodes-base.merge",
"onError": "continueRegularOutput",
"position": [
2480,
-240
],
"parameters": {
"mode": "combine",
"options": {},
"combinationMode": "mergeByPosition"
},
"typeVersion": 2.1,
"alwaysOutputData": true
},
{
"id": "72e04613-f953-49b0-ad13-4bd5464cc55e",
"name": "Merge1",
"type": "n8n-nodes-base.merge",
"position": [
2680,
-160
],
"parameters": {
"mode": "combine",
"options": {},
"combinationMode": "mergeByPosition"
},
"typeVersion": 2.1
},
{
"id": "0846e8ee-8b58-40c2-8d3f-1e33f519bf55",
"name": "Execute Workflow Trigger",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
980,
-600
],
"parameters": {},
"typeVersion": 1
},
{
"id": "1c753c05-3541-4579-a815-b3465f26d51c",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
1300,
-240
],
"parameters": {
"width": 752.1995067108865,
"height": 335.74971164936585,
"content": "PULL ALL BOARDRELATION COLUMNS AND THEIR DATA"
},
"typeVersion": 1
},
{
"id": "79c61e1f-6cbf-45ca-b0d3-31250fb7be18",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1300,
120
],
"parameters": {
"width": 748.2468880082052,
"height": 237.44804034647325,
"content": "PULL ALL SUBITEMS AND THEIR COLUMN DATA
"
},
"typeVersion": 1
},
{
"id": "b5da95d7-d0d8-4ad1-ab93-e06e6c823ed2",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1720,
-640
],
"parameters": {
"color": 4,
"width": 325.58246828143024,
"height": 352.5605536332179,
"content": "PULL ALL COLUMN DATA AND INDEX BY ID AND NAME
"
},
"typeVersion": 1
},
{
"id": "02125cbf-aa28-4cf1-a0ef-cf3cf45e76c2",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
2140,
-298.05978270268713
],
"parameters": {
"color": 5,
"width": 677.0818915801614,
"height": 605.5742002344051,
"content": "COMBINE ALL DATA INTO ONE JSON OUTPUT
"
},
"typeVersion": 1
},
{
"id": "e96deeef-6fb5-4130-b422-752e0e0dc9c5",
"name": "Execute Workflow",
"type": "n8n-nodes-base.executeWorkflow",
"position": [
1180,
-780
],
"parameters": {
"options": {
"waitForSubWorkflow": true
},
"workflowId": "ZdGZh4qmOqTQe1oq"
},
"typeVersion": 1
},
{
"id": "955d8a6e-931c-411f-a26a-17f547370fd9",
"name": "Edit Fields",
"type": "n8n-nodes-base.set",
"position": [
980,
-780
],
"parameters": {
"fields": {
"values": [
{
"name": "pulse",
"stringValue": "4030768878"
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "f508d0cd-448c-482e-9eeb-d569f26dbaab",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
940,
-920
],
"parameters": {
"color": 6,
"width": 418.4714893828877,
"height": 302.08861782546296,
"content": "HOW TO USE
-Copy these nodes into another workflow, and update the workflow id in the execute workflow node
-Using the Edit Fields nodes, define the “pulse” variable which will tell the workflow which monday item to pull data from.
"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "dd22e2e2-0699-41d1-b6ad-001073624540",
"connections": {
"Merge": {
"main": [
[
{
"node": "Merge1",
"type": "main",
"index": 1
}
]
]
},
"Merge2": {
"main": [
[
{
"node": "Merge1",
"type": "main",
"index": 0
}
]
]
},
"Merge4": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
]
},
"GET ITEM": {
"main": [
[
{
"node": "GET ALL COLUMNS",
"type": "main",
"index": 0
},
{
"node": "GET ALL COLUMNS2",
"type": "main",
"index": 0
},
{
"node": "PULL SUBITEMS",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Aggregate1": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Execute Workflow",
"type": "main",
"index": 0
}
]
]
},
"PULL SUBITEMS": {
"main": [
[
{
"node": "SPLIT SUBITEMS1",
"type": "main",
"index": 0
}
]
]
},
"GET ALL COLUMNS": {
"main": [
[
{
"node": "GET ALL RELATIONS",
"type": "main",
"index": 0
},
{
"node": "Merge2",
"type": "main",
"index": 0
}
]
]
},
"SPLIT SUBITEMS1": {
"main": [
[
{
"node": "GET EACH SUBITEM1",
"type": "main",
"index": 0
}
]
]
},
"GET ALL COLUMNS1": {
"main": [
[
{
"node": "Aggregate1",
"type": "main",
"index": 0
}
]
]
},
"GET ALL COLUMNS2": {
"main": [
[
{
"node": "Merge2",
"type": "main",
"index": 1
}
]
]
},
"GET ALL COLUMNS3": {
"main": [
[
{
"node": "Merge4",
"type": "main",
"index": 1
}
]
]
},
"GET ALL RELATIONS": {
"main": [
[
{
"node": "GET LINKEDPULSES1",
"type": "main",
"index": 0
},
{
"node": "Merge4",
"type": "main",
"index": 0
}
]
]
},
"GET EACH SUBITEM1": {
"main": [
[
{
"node": "GET ALL COLUMNS1",
"type": "main",
"index": 0
}
]
]
},
"GET LINKEDPULSES1": {
"main": [
[
{
"node": "SPLIT LINKED PULSES1",
"type": "main",
"index": 0
}
]
]
},
"PULL LINKEDPULSE1": {
"main": [
[
{
"node": "GET ALL COLUMNS3",
"type": "main",
"index": 0
}
]
]
},
"SPLIT LINKED PULSES1": {
"main": [
[
{
"node": "PULL LINKEDPULSE1",
"type": "main",
"index": 0
}
]
]
},
"Execute Workflow Trigger": {
"main": [
[
{
"node": "GET ITEM",
"type": "main",
"index": 0
}
]
]
}
}
}功能特点
- 自动检测新邮件
- AI智能内容分析
- 自定义分类规则
- 批量处理能力
- 详细的处理日志
技术分析
节点类型及作用
- Code
- Mondaycom
- Splitout
- Aggregate
- Merge
复杂度评估
配置难度：
维护难度：
扩展性：
实施指南
前置条件
- 有效的Gmail账户
- n8n平台访问权限
- Google API凭证
- AI分类服务订阅
配置步骤
- 在n8n中导入工作流JSON文件
- 配置Gmail节点的认证信息
- 设置AI分类器的API密钥
- 自定义分类规则和标签映射
- 测试工作流执行
- 配置定时触发器（可选）
关键参数
| 参数名称 | 默认值 | 说明 |
|---|---|---|
| maxEmails | 50 | 单次处理的最大邮件数量 |
| confidenceThreshold | 0.8 | 分类置信度阈值 |
| autoLabel | true | 是否自动添加标签 |
最佳实践
优化建议
- 定期更新AI分类模型以提高准确性
- 根据邮件量调整处理批次大小
- 设置合理的分类置信度阈值
- 定期清理过期的分类规则
安全注意事项
- 妥善保管API密钥和认证信息
- 限制工作流的访问权限
- 定期审查处理日志
- 启用双因素认证保护Gmail账户
性能优化
- 使用增量处理减少重复工作
- 缓存频繁访问的数据
- 并行处理多个邮件分类任务
- 监控系统资源使用情况
故障排除
常见问题
邮件未被正确分类
检查AI分类器的置信度阈值设置，适当降低阈值或更新训练数据。
Gmail认证失败
确认Google API凭证有效且具有正确的权限范围，重新进行OAuth授权。
调试技巧
- 启用详细日志记录查看每个步骤的执行情况
- 使用测试邮件验证分类逻辑
- 检查网络连接和API服务状态
- 逐步执行工作流定位问题节点
错误处理
工作流包含以下错误处理机制：
- 网络超时自动重试（最多3次）
- API错误记录和告警
- 处理失败邮件的隔离机制
- 异常情况下的回滚操作