refactor(editor): Clean up feature flag for the log view (#15606)

This commit is contained in:
Suguru Inoue
2025-06-10 10:15:22 +02:00
committed by GitHub
parent 25567f6f0e
commit d68a776e5c
69 changed files with 2402 additions and 3323 deletions

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@@ -0,0 +1,541 @@
import type { IExecutionResponse, INodeUi, LlmTokenUsageData, IWorkflowDb } from '@/Interface';
import { addTokenUsageData, emptyTokenUsageData, isChatNode } from '@/utils/aiUtils';
import {
NodeConnectionTypes,
type IDataObject,
AGENT_LANGCHAIN_NODE_TYPE,
type IRunExecutionData,
type ITaskData,
type ITaskStartedData,
type Workflow,
} from 'n8n-workflow';
import type { LogEntry, LogEntrySelection, LogTreeCreationContext } from './logs.types';
import { isProxy, isReactive, isRef, toRaw } from 'vue';
import { CHAT_TRIGGER_NODE_TYPE, MANUAL_CHAT_TRIGGER_NODE_TYPE } from '@/constants';
import { type ChatMessage } from '@n8n/chat/types';
import get from 'lodash-es/get';
import isEmpty from 'lodash-es/isEmpty';
import { v4 as uuid } from 'uuid';
function getConsumedTokens(task: ITaskData): LlmTokenUsageData {
if (!task.data) {
return emptyTokenUsageData;
}
const tokenUsage = Object.values(task.data)
.flat()
.flat()
.reduce<LlmTokenUsageData>((acc, curr) => {
const tokenUsageData = curr?.json?.tokenUsage ?? curr?.json?.tokenUsageEstimate;
if (!tokenUsageData) return acc;
return addTokenUsageData(acc, {
...(tokenUsageData as Omit<LlmTokenUsageData, 'isEstimate'>),
isEstimate: !!curr?.json.tokenUsageEstimate,
});
}, emptyTokenUsageData);
return tokenUsage;
}
function createNode(
node: INodeUi,
context: LogTreeCreationContext,
runIndex: number,
runData: ITaskData,
children: LogEntry[] = [],
): LogEntry {
return {
parent: context.parent,
node,
id: `${context.workflow.id}:${node.name}:${context.executionId}:${runIndex}`,
depth: context.depth,
runIndex,
runData,
children,
consumedTokens: getConsumedTokens(runData),
workflow: context.workflow,
executionId: context.executionId,
execution: context.data,
};
}
export function getTreeNodeData(
nodeName: string,
runData: ITaskData,
runIndex: number | undefined,
context: LogTreeCreationContext,
): LogEntry[] {
const node = context.workflow.getNode(nodeName);
return node ? getTreeNodeDataRec(node, runData, context, runIndex) : [];
}
function getChildNodes(
treeNode: LogEntry,
node: INodeUi,
runIndex: number | undefined,
context: LogTreeCreationContext,
) {
if (hasSubExecution(treeNode)) {
const workflowId = treeNode.runData.metadata?.subExecution?.workflowId;
const executionId = treeNode.runData.metadata?.subExecution?.executionId;
const workflow = workflowId ? context.workflows[workflowId] : undefined;
const subWorkflowRunData = executionId ? context.subWorkflowData[executionId] : undefined;
if (!workflow || !subWorkflowRunData || !executionId) {
return [];
}
return createLogTreeRec({
...context,
parent: treeNode,
depth: context.depth + 1,
workflow,
executionId,
data: subWorkflowRunData,
});
}
// Get the first level of children
const connectedSubNodes = context.workflow.getParentNodes(node.name, 'ALL_NON_MAIN', 1);
const isExecutionRoot =
treeNode.parent === undefined || treeNode.executionId !== treeNode.parent.executionId;
return connectedSubNodes.flatMap((subNodeName) =>
(context.data.resultData.runData[subNodeName] ?? []).flatMap((t, index) => {
// At root depth, filter out node executions that weren't triggered by this node
// This prevents showing duplicate executions when a sub-node is connected to multiple parents
// Only filter nodes that have source information with valid previousNode references
const isMatched =
isExecutionRoot && t.source.some((source) => source !== null)
? t.source.some(
(source) =>
source?.previousNode === node.name &&
(runIndex === undefined || source.previousNodeRun === runIndex),
)
: runIndex === undefined || index === runIndex;
if (!isMatched) {
return [];
}
const subNode = context.workflow.getNode(subNodeName);
return subNode
? getTreeNodeDataRec(
subNode,
t,
{ ...context, depth: context.depth + 1, parent: treeNode },
index,
)
: [];
}),
);
}
function getTreeNodeDataRec(
node: INodeUi,
runData: ITaskData,
context: LogTreeCreationContext,
runIndex: number | undefined,
): LogEntry[] {
const treeNode = createNode(node, context, runIndex ?? 0, runData);
const children = getChildNodes(treeNode, node, runIndex, context).sort(sortLogEntries);
treeNode.children = children;
return [treeNode];
}
export function getTotalConsumedTokens(...usage: LlmTokenUsageData[]): LlmTokenUsageData {
return usage.reduce(addTokenUsageData, emptyTokenUsageData);
}
export function getSubtreeTotalConsumedTokens(
treeNode: LogEntry,
includeSubWorkflow: boolean,
): LlmTokenUsageData {
const executionId = treeNode.executionId;
function calculate(currentNode: LogEntry): LlmTokenUsageData {
if (!includeSubWorkflow && currentNode.executionId !== executionId) {
return emptyTokenUsageData;
}
return getTotalConsumedTokens(
currentNode.consumedTokens,
...currentNode.children.map(calculate),
);
}
return calculate(treeNode);
}
function findLogEntryToAutoSelectRec(subTree: LogEntry[], depth: number): LogEntry | undefined {
for (const entry of subTree) {
if (entry.runData?.error) {
return entry;
}
const childAutoSelect = findLogEntryToAutoSelectRec(entry.children, depth + 1);
if (childAutoSelect) {
return childAutoSelect;
}
if (entry.node.type === AGENT_LANGCHAIN_NODE_TYPE) {
return entry;
}
}
return depth === 0 ? subTree[0] : undefined;
}
export function createLogTree(
workflow: Workflow,
response: IExecutionResponse,
workflows: Record<string, Workflow> = {},
subWorkflowData: Record<string, IRunExecutionData> = {},
) {
return createLogTreeRec({
parent: undefined,
depth: 0,
executionId: response.id,
workflow,
workflows,
data: response.data ?? { resultData: { runData: {} } },
subWorkflowData,
});
}
function createLogTreeRec(context: LogTreeCreationContext) {
const runs = Object.entries(context.data.resultData.runData)
.flatMap(([nodeName, taskData]) =>
context.workflow.getChildNodes(nodeName, 'ALL_NON_MAIN').length > 0 ||
context.workflow.getNode(nodeName)?.disabled
? [] // skip sub nodes and disabled nodes
: taskData.map((task, runIndex) => ({
nodeName,
runData: task,
runIndex,
nodeHasMultipleRuns: taskData.length > 1,
})),
)
.sort(sortLogEntries);
return runs.flatMap(({ nodeName, runIndex, runData, nodeHasMultipleRuns }) =>
getTreeNodeData(nodeName, runData, nodeHasMultipleRuns ? runIndex : undefined, context),
);
}
export function findLogEntryRec(
isMatched: (entry: LogEntry) => boolean,
entries: LogEntry[],
): LogEntry | undefined {
for (const entry of entries) {
if (isMatched(entry)) {
return entry;
}
const child = findLogEntryRec(isMatched, entry.children);
if (child) {
return child;
}
}
return undefined;
}
export function findSelectedLogEntry(
selection: LogEntrySelection,
entries: LogEntry[],
): LogEntry | undefined {
switch (selection.type) {
case 'initial':
return findLogEntryToAutoSelectRec(entries, 0);
case 'none':
return undefined;
case 'selected': {
const entry = findLogEntryRec((e) => e.id === selection.id, entries);
if (entry) {
return entry;
}
return findLogEntryToAutoSelectRec(entries, 0);
}
}
}
// eslint-disable-next-line @typescript-eslint/no-explicit-any
export function deepToRaw<T>(sourceObj: T): T {
const seen = new WeakMap();
// eslint-disable-next-line @typescript-eslint/no-explicit-any
const objectIterator = (input: any): any => {
if (seen.has(input)) {
return input;
}
if (input !== null && typeof input === 'object') {
seen.set(input, true);
}
if (Array.isArray(input)) {
return input.map((item) => objectIterator(item));
}
if (isRef(input) || isReactive(input) || isProxy(input)) {
return objectIterator(toRaw(input));
}
if (
input !== null &&
typeof input === 'object' &&
Object.getPrototypeOf(input) === Object.prototype
) {
return Object.keys(input).reduce((acc, key) => {
acc[key as keyof typeof acc] = objectIterator(input[key]);
return acc;
}, {} as T);
}
return input;
};
return objectIterator(sourceObj);
}
export function flattenLogEntries(
entries: LogEntry[],
collapsedEntryIds: Record<string, boolean>,
ret: LogEntry[] = [],
): LogEntry[] {
for (const entry of entries) {
ret.push(entry);
if (!collapsedEntryIds[entry.id]) {
flattenLogEntries(entry.children, collapsedEntryIds, ret);
}
}
return ret;
}
export function getEntryAtRelativeIndex(
entries: LogEntry[],
id: string,
relativeIndex: number,
): LogEntry | undefined {
const offset = entries.findIndex((e) => e.id === id);
return offset === -1 ? undefined : entries[offset + relativeIndex];
}
function sortLogEntries<T extends { runData: ITaskData }>(a: T, b: T) {
// We rely on execution index only when startTime is different
// Because it is reset to 0 when execution is waited, and therefore not necessarily unique
if (a.runData.startTime === b.runData.startTime) {
return a.runData.executionIndex - b.runData.executionIndex;
}
return a.runData.startTime - b.runData.startTime;
}
export function mergeStartData(
startData: { [nodeName: string]: ITaskStartedData[] },
response: IExecutionResponse,
): IExecutionResponse {
if (!response.data) {
return response;
}
const nodeNames = [
...new Set(
Object.keys(startData).concat(Object.keys(response.data.resultData.runData)),
).values(),
];
const runData = Object.fromEntries(
nodeNames.map<[string, ITaskData[]]>((nodeName) => {
const tasks = response.data?.resultData.runData[nodeName] ?? [];
const mergedTasks = tasks.concat(
(startData[nodeName] ?? [])
.filter((task) =>
// To remove duplicate runs, we check start time in addition to execution index
// because nodes such as Wait and Form emits multiple websocket events with
// different execution index for a single run
tasks.every(
(t) => t.startTime < task.startTime && t.executionIndex !== task.executionIndex,
),
)
.map<ITaskData>((task) => ({
...task,
executionTime: 0,
executionStatus: 'running',
})),
);
return [nodeName, mergedTasks];
}),
);
return {
...response,
data: {
...response.data,
resultData: {
...response.data.resultData,
runData,
},
},
};
}
export function hasSubExecution(entry: LogEntry): boolean {
return !!entry.runData.metadata?.subExecution;
}
export function getDefaultCollapsedEntries(entries: LogEntry[]): Record<string, boolean> {
const ret: Record<string, boolean> = {};
function collect(children: LogEntry[]) {
for (const entry of children) {
if (hasSubExecution(entry) && entry.children.length === 0) {
ret[entry.id] = true;
}
collect(entry.children);
}
}
collect(entries);
return ret;
}
export function getDepth(entry: LogEntry): number {
let depth = 0;
let currentEntry = entry;
while (currentEntry.parent !== undefined) {
currentEntry = currentEntry.parent;
depth++;
}
return depth;
}
export function getInputKey(node: INodeUi): string {
if (node.type === MANUAL_CHAT_TRIGGER_NODE_TYPE && node.typeVersion < 1.1) {
return 'input';
}
if (node.type === CHAT_TRIGGER_NODE_TYPE) {
return 'chatInput';
}
return 'chatInput';
}
function extractChatInput(
workflow: IWorkflowDb,
resultData: IRunExecutionData['resultData'],
): ChatMessage | undefined {
const chatTrigger = workflow.nodes.find(isChatNode);
if (chatTrigger === undefined) {
return undefined;
}
const inputKey = getInputKey(chatTrigger);
const runData = (resultData.runData[chatTrigger.name] ?? [])[0];
const message = runData?.data?.[NodeConnectionTypes.Main]?.[0]?.[0]?.json?.[inputKey];
if (runData === undefined || typeof message !== 'string') {
return undefined;
}
return {
text: message,
sender: 'user',
id: uuid(),
};
}
export function extractBotResponse(
resultData: IRunExecutionData['resultData'],
executionId: string,
emptyText?: string,
): ChatMessage | undefined {
const lastNodeExecuted = resultData.lastNodeExecuted;
if (!lastNodeExecuted) return undefined;
const nodeResponseDataArray = get(resultData.runData, lastNodeExecuted) ?? [];
const nodeResponseData = nodeResponseDataArray[nodeResponseDataArray.length - 1];
let responseMessage: string;
if (get(nodeResponseData, 'error')) {
responseMessage = '[ERROR: ' + get(nodeResponseData, 'error.message') + ']';
} else {
const responseData = get(nodeResponseData, 'data.main[0][0].json');
const text = extractResponseText(responseData) ?? emptyText;
if (!text) {
return undefined;
}
responseMessage = text;
}
return {
text: responseMessage,
sender: 'bot',
id: executionId ?? uuid(),
};
}
/** Extracts response message from workflow output */
function extractResponseText(responseData?: IDataObject): string | undefined {
if (!responseData || isEmpty(responseData)) {
return undefined;
}
// Paths where the response message might be located
const paths = ['output', 'text', 'response.text'];
const matchedPath = paths.find((path) => get(responseData, path));
if (!matchedPath) return JSON.stringify(responseData, null, 2);
const matchedOutput = get(responseData, matchedPath);
if (typeof matchedOutput === 'object') {
return '```json\n' + JSON.stringify(matchedOutput, null, 2) + '\n```';
}
return matchedOutput?.toString() ?? '';
}
export function restoreChatHistory(
workflowExecutionData: IExecutionResponse | null,
emptyText?: string,
): ChatMessage[] {
if (!workflowExecutionData?.data) {
return [];
}
const userMessage = extractChatInput(
workflowExecutionData.workflowData,
workflowExecutionData.data.resultData,
);
const botMessage = extractBotResponse(
workflowExecutionData.data.resultData,
workflowExecutionData.id,
emptyText,
);
return [...(userMessage ? [userMessage] : []), ...(botMessage ? [botMessage] : [])];
}