n8n/packages/editor-ui/src/components/RunDataAi/RunDataAiContent.vue

253 lines
6.5 KiB
Vue

<script lang="ts" setup>
import type { IAiData, IAiDataContent } from '@/Interface';
import { useNodeTypesStore } from '@/stores/nodeTypes.store';
import { useWorkflowsStore } from '@/stores/workflows.store';
import type {
INodeExecutionData,
INodeTypeDescription,
NodeConnectionType,
NodeError,
} from 'n8n-workflow';
import { computed } from 'vue';
import NodeIcon from '@/components/NodeIcon.vue';
import AiRunContentBlock from './AiRunContentBlock.vue';
import { useExecutionHelpers } from '@/composables/useExecutionHelpers';
import { useI18n } from '@/composables/useI18n';
interface RunMeta {
startTimeMs: number;
executionTimeMs: number;
node: INodeTypeDescription | null;
type: 'input' | 'output';
connectionType: NodeConnectionType;
subExecution?: {
workflowId: string;
executionId: string;
};
}
const props = defineProps<{
inputData: IAiData;
contentIndex: number;
}>();
const nodeTypesStore = useNodeTypesStore();
const workflowsStore = useWorkflowsStore();
const { trackOpeningRelatedExecution, resolveRelatedExecutionUrl } = useExecutionHelpers();
const i18n = useI18n();
type TokenUsageData = {
completionTokens: number;
promptTokens: number;
totalTokens: number;
};
const consumedTokensSum = computed(() => {
// eslint-disable-next-line @typescript-eslint/no-use-before-define
const tokenUsage = outputRun.value?.data?.reduce(
(acc: TokenUsageData, curr: INodeExecutionData) => {
const tokenUsageData = (curr.json?.tokenUsage ??
curr.json?.tokenUsageEstimate) as TokenUsageData;
if (!tokenUsageData) return acc;
return {
completionTokens: acc.completionTokens + tokenUsageData.completionTokens,
promptTokens: acc.promptTokens + tokenUsageData.promptTokens,
totalTokens: acc.totalTokens + tokenUsageData.totalTokens,
};
},
{
completionTokens: 0,
promptTokens: 0,
totalTokens: 0,
},
);
return tokenUsage;
});
const usingTokensEstimates = computed(() => {
return outputRun.value?.data?.some((d) => d.json?.tokenUsageEstimate);
});
function formatTokenUsageCount(count: number) {
return usingTokensEstimates.value ? `~${count}` : count.toString();
}
function extractRunMeta(run: IAiDataContent) {
const uiNode = workflowsStore.getNodeByName(props.inputData.node);
const nodeType = nodeTypesStore.getNodeType(uiNode?.type ?? '');
const runMeta: RunMeta = {
startTimeMs: run.metadata.startTime,
executionTimeMs: run.metadata.executionTime,
node: nodeType,
type: run.inOut,
connectionType: run.type,
subExecution: run.metadata?.subExecution,
};
return runMeta;
}
const outputRun = computed(() => {
return props.inputData.data.find((r) => r.inOut === 'output');
});
const runMeta = computed(() => {
if (outputRun.value === undefined) {
return;
}
return extractRunMeta(outputRun.value);
});
const executionRunData = computed(() => {
return workflowsStore.getWorkflowExecution?.data?.resultData?.runData;
});
const outputError = computed(() => {
return executionRunData.value?.[props.inputData.node]?.[props.inputData.runIndex]?.error as
| NodeError
| undefined;
});
</script>
<template>
<div :class="$style.container">
<header :class="$style.header">
<NodeIcon
v-if="runMeta?.node"
:class="$style.nodeIcon"
:node-type="runMeta.node"
:size="20"
/>
<div :class="$style.headerWrap">
<p :class="$style.title">
{{ inputData.node }}
</p>
<ul :class="$style.meta">
<li v-if="runMeta?.startTimeMs">{{ runMeta?.executionTimeMs }}ms</li>
<li v-if="runMeta?.startTimeMs">
<n8n-tooltip>
<template #content>
{{ new Date(runMeta?.startTimeMs).toLocaleString() }}
</template>
{{
i18n.baseText('runData.aiContentBlock.startedAt', {
interpolate: {
startTime: new Date(runMeta?.startTimeMs).toLocaleTimeString(),
},
})
}}
</n8n-tooltip>
</li>
<li v-if="runMeta?.subExecution">
<a
:href="resolveRelatedExecutionUrl(runMeta)"
target="_blank"
@click.stop="trackOpeningRelatedExecution(runMeta, 'ai')"
>
<N8nIcon icon="external-link-alt" size="xsmall" />
{{
i18n.baseText('runData.openSubExecutionWithId', {
interpolate: {
id: runMeta.subExecution?.executionId,
},
})
}}
</a>
</li>
<li v-if="(consumedTokensSum?.totalTokens ?? 0) > 0" :class="$style.tokensUsage">
{{
i18n.baseText('runData.aiContentBlock.tokens', {
interpolate: {
count: formatTokenUsageCount(consumedTokensSum?.totalTokens ?? 0),
},
})
}}
<n8n-info-tip type="tooltip" theme="info-light" tooltip-placement="right">
<div>
<n8n-text :bold="true" size="small">
{{ i18n.baseText('runData.aiContentBlock.tokens.prompt') }}
{{
i18n.baseText('runData.aiContentBlock.tokens', {
interpolate: {
count: formatTokenUsageCount(consumedTokensSum?.promptTokens ?? 0),
},
})
}}
</n8n-text>
<br />
<n8n-text :bold="true" size="small">
{{ i18n.baseText('runData.aiContentBlock.tokens.completion') }}
{{
i18n.baseText('runData.aiContentBlock.tokens', {
interpolate: {
count: formatTokenUsageCount(consumedTokensSum?.completionTokens ?? 0),
},
})
}}
</n8n-text>
</div>
</n8n-info-tip>
</li>
</ul>
</div>
</header>
<main v-for="(run, index) in props.inputData.data" :key="index" :class="$style.content">
<AiRunContentBlock
:run-data="run"
:error="run.inOut === 'output' ? outputError : undefined"
/>
</main>
</div>
</template>
<style type="scss" module>
.container {
padding: 0 var(--spacing-s) var(--spacing-s);
}
.nodeIcon {
margin-top: calc(var(--spacing-3xs) * -1);
}
.header {
display: flex;
align-items: center;
gap: var(--spacing-3xs);
margin-bottom: var(--spacing-s);
}
.headerWrap {
display: flex;
flex-direction: column;
}
.title {
display: flex;
align-items: center;
font-size: var(--font-size-s);
gap: var(--spacing-3xs);
color: var(--color-text-dark);
}
.meta {
list-style: none;
display: flex;
align-items: center;
flex-wrap: wrap;
font-size: var(--font-size-xs);
& > li:not(:last-child) {
border-right: 1px solid var(--color-text-base);
padding-right: var(--spacing-3xs);
}
& > li:not(:first-child) {
padding-left: var(--spacing-3xs);
}
}
.tokensUsage {
display: flex;
align-items: center;
gap: var(--spacing-3xs);
}
</style>