Add advanced ai

This commit is contained in:
Emily
2024-09-16 01:03:49 +02:00
parent 4c46a36c75
commit c3904ebd55
19 changed files with 641 additions and 194 deletions

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import { AIPlugin } from "../Plugin";
export class AiComposableChart extends AIPlugin<['createComposableChart']> {
constructor() {
super({
'createComposableChart': {
handler: (data: { labels: string, points: number[] }) => {
return { ok: true };
},
tool: {
type: 'function',
function: {
name: 'createComposableChart',
description: 'Creates a chart based on the provided datasets',
parameters: {
type: 'object',
properties: {
labels: {
type: 'array',
items: { type: 'string' },
description: 'Labels for each data point in the chart'
},
title: {
type: 'string',
description: 'Title of the chart to let user understand what is displaying, not include dates'
},
datasets: {
type: 'array',
description: 'List of datasets',
items: {
type: 'object',
properties: {
chartType: {
type: 'string',
enum: ['line', 'bar'],
description: 'The type of chart to display the dataset, either "line" or "bar"'
},
points: {
type: 'array',
items: { type: 'number' },
description: 'Numerical values for each data point in the chart'
},
color: {
type: 'string',
description: 'Color used to represent the dataset'
},
name: {
type: 'string',
description: 'Name of the dataset'
}
},
required: ['points', 'color', 'chartType', 'name'],
description: 'Data points and style information for the dataset'
}
}
},
required: ['labels', 'datasets', 'title']
}
}
}
}
})
}
}
export const AiComposableChartInstance = new AiComposableChart();

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import { EventModel } from "@schema/metrics/EventSchema";
import { executeTimelineAggregation, fillAndMergeTimelineAggregationV2 } from "~/server/services/TimelineService";
import { Types } from "mongoose";
import { AIPlugin, AIPlugin_TTool } from "../Plugin";
const getEventsCountTool: AIPlugin_TTool<'getEventsCount'> = {
type: 'function',
function: {
name: 'getEventsCount',
description: 'Gets the number of events received on a date range, can also specify the event name and the metadata associated',
parameters: {
type: 'object',
properties: {
from: { type: 'string', description: 'ISO string of start date including hours' },
to: { type: 'string', description: 'ISO string of end date including hours' },
name: { type: 'string', description: 'Name of the events to get' },
metadata: { type: 'object', description: 'Metadata of events to get' },
},
required: ['from', 'to']
}
}
}
const getEventsTimelineTool: AIPlugin_TTool<'getEventsTimeline'> = {
type: 'function',
function: {
name: 'getEventsTimeline',
description: 'Gets an array of date and count for events received on a date range. Should be used to create charts.',
parameters: {
type: 'object',
properties: {
from: { type: 'string', description: 'ISO string of start date including hours' },
to: { type: 'string', description: 'ISO string of end date including hours' },
},
required: ['from', 'to']
}
}
}
export class AiEvents extends AIPlugin<['getEventsCount', 'getEventsTimeline']> {
constructor() {
super({
'getEventsCount': {
handler: async (data: { project_id: string, from?: string, to?: string, name?: string, metadata?: string }) => {
const query: any = {
project_id: data.project_id,
created_at: {
$gt: data.from ? new Date(data.from).getTime() : new Date(2023).getTime(),
$lt: data.to ? new Date(data.to).getTime() : new Date().getTime(),
}
}
if (data.metadata) query.metadata = data.metadata;
if (data.name) query.name = data.name;
const result = await EventModel.countDocuments(query);
return { count: result };
},
tool: getEventsCountTool
},
'getEventsTimeline': {
handler: async (data: { project_id: string, from: string, to: string }) => {
const timelineData = await executeTimelineAggregation({
projectId: new Types.ObjectId(data.project_id) as any,
model: EventModel,
from: data.from, to: data.to, slice: 'day'
});
const timelineFilledMerged = fillAndMergeTimelineAggregationV2(timelineData, 'day', data.from, data.to);
return { data: timelineFilledMerged };
},
tool: getEventsTimelineTool
}
})
}
}
export const AiEventsInstance = new AiEvents();

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import { VisitModel } from "@schema/metrics/VisitSchema";
import { AdvancedTimelineAggregationOptions, executeAdvancedTimelineAggregation, executeTimelineAggregation, fillAndMergeTimelineAggregationV2 } from "~/server/services/TimelineService";
import { Types } from "mongoose";
import { AIPlugin, AIPlugin_TTool } from "../Plugin";
const getVisitsCountsTool: AIPlugin_TTool<'getVisitsCount'> = {
type: 'function',
function: {
name: 'getVisitsCount',
description: 'Gets the number of visits received on a date range',
parameters: {
type: 'object',
properties: {
from: { type: 'string', description: 'ISO string of start date including hours' },
to: { type: 'string', description: 'ISO string of end date including hours' },
website: { type: 'string', description: 'The website of the visits' },
page: { type: 'string', description: 'The page of the visit' }
},
required: ['from', 'to']
}
}
}
const getVisitsTimelineTool: AIPlugin_TTool<'getVisitsTimeline'> = {
type: 'function',
function: {
name: 'getVisitsTimeline',
description: 'Gets an array of date and count for events received on a date range. Should be used to create charts.',
parameters: {
type: 'object',
properties: {
from: { type: 'string', description: 'ISO string of start date including hours' },
to: { type: 'string', description: 'ISO string of end date including hours' },
website: { type: 'string', description: 'The website of the visits' },
page: { type: 'string', description: 'The page of the visit' }
},
required: ['from', 'to']
}
}
}
export class AiVisits extends AIPlugin<['getVisitsCount', 'getVisitsTimeline']> {
constructor() {
super({
'getVisitsCount': {
handler: async (data: { project_id: string, from?: string, to?: string, website?: string, page?: string }) => {
const query: any = {
project_id: data.project_id,
created_at: {
$gt: data.from ? new Date(data.from).getTime() : new Date(2023).getTime(),
$lt: data.to ? new Date(data.to).getTime() : new Date().getTime(),
}
}
if (data.website) query.website = data.website;
if (data.page) query.page = data.page;
const result = await VisitModel.countDocuments(query);
return { count: result };
},
tool: getVisitsCountsTool
},
'getVisitsTimeline': {
handler: async (data: { project_id: string, from: string, to: string, website?: string, page?: string }) => {
const query: AdvancedTimelineAggregationOptions & { customMatch: Record<string, any> } = {
projectId: new Types.ObjectId(data.project_id) as any,
model: VisitModel,
from: data.from, to: data.to, slice: 'day',
customMatch: {}
}
if (data.website) query.customMatch.website = data.website;
if (data.page) query.customMatch.page = data.page;
const timelineData = await executeAdvancedTimelineAggregation(query);
const timelineFilledMerged = fillAndMergeTimelineAggregationV2(timelineData, 'day', data.from, data.to);
return { data: timelineFilledMerged };
},
tool: getVisitsTimelineTool
}
})
}
}
export const AiVisitsInstance = new AiVisits();