@polybiouslabs/polybious
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Polybius is a next-generation intelligent agent framework built for adaptability across diverse domains. It merges contextual awareness, multi-agent collaboration, and predictive reasoning to deliver dynamic, self-optimizing performance.
269 lines (268 loc) • 10.7 kB
JavaScript
import { BaseTool } from '../base-tool';
import { logger } from '../../config/logger';
import * as cron from 'node-cron';
export class SchedulingTool extends BaseTool {
getConfig() {
return {
name: 'scheduling',
description: 'Create, modify, and manage content scheduling',
parameters: {
type: 'object',
properties: {
action: {
type: 'string',
description: 'Scheduling action to perform',
enum: ['schedule', 'reschedule', 'cancel', 'list', 'optimize'],
default: 'schedule'
},
content: {
type: 'string',
description: 'Content to schedule (for schedule action)',
maxLength: 1000
},
datetime: {
type: 'string',
description: 'When to post (ISO 8601 format)'
},
platform: {
type: 'string',
description: 'Platform to post on',
enum: ['twitter', 'instagram', 'facebook', 'linkedin', 'all'],
default: 'twitter'
},
timezone: {
type: 'string',
description: 'Timezone for scheduling',
default: 'UTC'
}
},
required: ['action']
},
handler: 'SchedulingTool',
enabled: true
};
}
async execute(params) {
const { action, content, datetime, platform = 'twitter', timezone = 'UTC' } = params;
try {
logger.info('Executing scheduling action', { action, platform, timezone });
switch (action) {
case 'schedule':
return this.scheduleContent(content, datetime, platform, timezone);
case 'reschedule':
return this.rescheduleContent(params.id, datetime, timezone);
case 'cancel':
return this.cancelScheduled(params.id);
case 'list':
return this.listScheduled(platform);
case 'optimize':
return this.optimizeSchedule(platform, timezone);
default:
throw new Error(`Unknown scheduling action: ${action}`);
}
}
catch (error) {
logger.error('Scheduling action failed', { error, action });
throw new Error(`Scheduling failed: ${error instanceof Error ? error.message : 'Unknown error'}`);
}
}
async scheduleContent(content, datetime, platform, timezone) {
const scheduleId = `sched_${Date.now()}_${Math.random().toString(36).substring(7)}`;
const scheduledTime = new Date(datetime);
// Validate scheduling time
if (scheduledTime <= new Date()) {
throw new Error('Cannot schedule content in the past');
}
// Optimal timing analysis
const timing = this.analyzeOptimalTiming(scheduledTime, platform, timezone);
return {
scheduleId,
content: content.substring(0, 100) + (content.length > 100 ? '...' : ''),
scheduledFor: scheduledTime.toISOString(),
platform,
timezone,
status: 'scheduled',
timing,
estimatedReach: this.estimateReach(scheduledTime, platform),
recommendations: this.getTimingRecommendations(scheduledTime, platform, timezone)
};
}
async rescheduleContent(id, datetime, timezone) {
const newTime = new Date(datetime);
return {
scheduleId: id,
oldTime: new Date().toISOString(), // Would be from database
newTime: newTime.toISOString(),
status: 'rescheduled',
timezone
};
}
async cancelScheduled(id) {
return {
scheduleId: id,
status: 'cancelled',
cancelledAt: new Date().toISOString()
};
}
async listScheduled(platform) {
// Mock scheduled items
return {
platform,
scheduled: [
{
id: 'sched_1',
content: 'Sample scheduled content...',
scheduledFor: new Date(Date.now() + 3600000).toISOString(),
status: 'scheduled'
}
],
total: 1
};
}
async optimizeSchedule(platform, timezone) {
const optimalTimes = this.getOptimalPostingTimes(platform, timezone);
return {
platform,
timezone,
optimalTimes,
recommendations: [
'Post during peak engagement hours for maximum visibility',
'Avoid posting during low-activity periods',
'Consider audience timezone for better engagement'
],
analysis: this.analyzeCurrentSchedule(platform)
};
}
analyzeOptimalTiming(scheduledTime, platform, timezone) {
const hour = scheduledTime.getHours();
const dayOfWeek = scheduledTime.getDay();
const optimalHours = {
twitter: [9, 10, 11, 15, 16, 17],
instagram: [11, 12, 13, 17, 18, 19],
facebook: [9, 10, 15, 20, 21],
linkedin: [8, 9, 12, 13, 17]
};
const optimal = optimalHours[platform] || optimalHours.twitter;
const isOptimalHour = optimal.includes(hour);
const isWeekday = dayOfWeek >= 1 && dayOfWeek <= 5;
return {
isOptimal: isOptimalHour && isWeekday,
score: this.calculateTimingScore(hour, dayOfWeek, platform),
feedback: isOptimalHour ? 'Good timing choice' : 'Consider posting during peak hours',
peakHours: optimal
};
}
estimateReach(scheduledTime, platform) {
const hour = scheduledTime.getHours();
const dayOfWeek = scheduledTime.getDay();
// Base reach multipliers
const platformMultipliers = {
twitter: 1.0,
instagram: 1.2,
facebook: 0.8,
linkedin: 0.6
};
const hourMultiplier = this.getHourMultiplier(hour, platform);
const dayMultiplier = this.getDayMultiplier(dayOfWeek);
const baseReach = 1000; // Base follower reach
const estimatedReach = baseReach * platformMultipliers[platform] * hourMultiplier * dayMultiplier;
return {
estimated: Math.round(estimatedReach),
confidence: 0.75,
factors: {
platform: platformMultipliers[platform],
timing: hourMultiplier,
day: dayMultiplier
}
};
}
getTimingRecommendations(scheduledTime, platform, timezone) {
const recommendations = [];
const hour = scheduledTime.getHours();
const dayOfWeek = scheduledTime.getDay();
if (hour < 8 || hour > 22) {
recommendations.push('Consider posting during active hours (8 AM - 10 PM)');
}
if (dayOfWeek === 0 || dayOfWeek === 6) {
recommendations.push('Weekend posting may have lower engagement for business content');
}
const optimal = this.getOptimalPostingTimes(platform, timezone);
if (!optimal.hours.includes(hour)) {
recommendations.push(`Consider posting during peak hours: ${optimal.hours.join(', ')}`);
}
return recommendations;
}
getOptimalPostingTimes(platform, timezone) {
const optimalTimes = {
twitter: {
hours: [9, 10, 15, 16, 17],
days: ['Tuesday', 'Wednesday', 'Thursday'],
reasoning: 'High engagement during business hours and mid-week'
},
instagram: {
hours: [11, 12, 17, 18, 19],
days: ['Wednesday', 'Thursday', 'Friday'],
reasoning: 'Visual content performs well during lunch and evening hours'
},
facebook: {
hours: [9, 15, 20, 21],
days: ['Wednesday', 'Thursday', 'Friday'],
reasoning: 'Mixed audience active during work breaks and evenings'
},
linkedin: {
hours: [8, 9, 12, 17],
days: ['Tuesday', 'Wednesday', 'Thursday'],
reasoning: 'Professional network most active during business hours'
}
};
return optimalTimes[platform] || optimalTimes.twitter;
}
calculateTimingScore(hour, dayOfWeek, platform) {
let score = 50; // Base score
// Hour scoring
if (platform === 'twitter' && [9, 10, 15, 16, 17].includes(hour))
score += 25;
if (platform === 'instagram' && [11, 12, 17, 18, 19].includes(hour))
score += 25;
if (platform === 'facebook' && [9, 15, 20, 21].includes(hour))
score += 25;
if (platform === 'linkedin' && [8, 9, 12, 17].includes(hour))
score += 25;
// Day scoring
if (dayOfWeek >= 2 && dayOfWeek <= 4)
score += 15; // Tue-Thu
if (dayOfWeek === 0 || dayOfWeek === 6)
score -= 10; // Weekend penalty
// Time penalties
if (hour < 6 || hour > 23)
score -= 20;
return Math.max(0, Math.min(100, score));
}
getHourMultiplier(hour, platform) {
const multipliers = {
twitter: { 9: 1.3, 10: 1.2, 15: 1.4, 16: 1.3, 17: 1.2 },
instagram: { 11: 1.3, 12: 1.2, 17: 1.4, 18: 1.3, 19: 1.2 },
facebook: { 9: 1.2, 15: 1.3, 20: 1.4, 21: 1.2 },
linkedin: { 8: 1.3, 9: 1.2, 12: 1.1, 17: 1.3 }
};
return multipliers[platform]?.[hour] || 1.0;
}
getDayMultiplier(dayOfWeek) {
const multipliers = [0.7, 1.0, 1.2, 1.3, 1.2, 1.0, 0.8]; // Sun-Sat
return multipliers[dayOfWeek] || 1.0;
}
analyzeCurrentSchedule(platform) {
return {
totalScheduled: 1,
distribution: {
morning: 0,
afternoon: 1,
evening: 0
},
recommendations: [
'Consider more diverse posting times',
'Add morning and evening posts for better coverage'
]
};
}
}