Rodrigo Rodriguez (Pragmatismo)
48c1ae0b51
- Add startup wizard module for first-run configuration - Add white-label branding system with .product file support - Add bot manager for lifecycle, MinIO buckets, and templates - Add version tracking registry for component updates - Create comparison doc: BASIC vs n8n/Zapier/Make/Copilot - Add WhatsApp-style sample dialogs to template documentation - Add data traceability SVG diagram ```
115 lines
3.9 KiB
QBasic
115 lines
3.9 KiB
QBasic
' =============================================================================
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' Platform Overview - Key Metrics Summary
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' Analytics Bot Dialog for General Bots
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' =============================================================================
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TALK "Generating platform overview..."
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HEAR timeRange AS TEXT WITH "Select time range (1h, 6h, 24h, 7d, 30d):" DEFAULT "24h"
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' Query platform metrics from time-series database
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messages = QUERY METRICS "messages" FOR timeRange
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sessions = QUERY METRICS "active_sessions" FOR timeRange
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responseTime = QUERY METRICS "response_time" FOR timeRange
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errors = QUERY METRICS "errors" FOR timeRange
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tokens = QUERY METRICS "llm_tokens" FOR timeRange
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' Calculate totals
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totalMessages = SUM(messages, "count")
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avgSessions = AVG(sessions, "count")
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avgResponseTime = AVG(responseTime, "duration_ms")
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totalErrors = SUM(errors, "count")
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totalTokens = SUM(tokens, "total_tokens")
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' Calculate trends compared to previous period
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prevMessages = QUERY METRICS "messages" FOR timeRange OFFSET 1
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prevSessions = QUERY METRICS "active_sessions" FOR timeRange OFFSET 1
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messagesTrend = ((totalMessages - SUM(prevMessages, "count")) / SUM(prevMessages, "count")) * 100
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sessionsTrend = ((avgSessions - AVG(prevSessions, "count")) / AVG(prevSessions, "count")) * 100
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TALK "Platform Overview for " + timeRange
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TALK ""
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TALK "Messages"
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TALK " Total: " + FORMAT(totalMessages, "#,###")
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TALK " Trend: " + FORMAT(messagesTrend, "+#.#") + "%"
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TALK ""
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TALK "Sessions"
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TALK " Average Active: " + FORMAT(avgSessions, "#,###")
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TALK " Trend: " + FORMAT(sessionsTrend, "+#.#") + "%"
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TALK ""
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TALK "Performance"
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TALK " Avg Response Time: " + FORMAT(avgResponseTime, "#.##") + " ms"
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TALK ""
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TALK "Errors"
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TALK " Total: " + FORMAT(totalErrors, "#,###")
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TALK " Error Rate: " + FORMAT((totalErrors / totalMessages) * 100, "#.##") + "%"
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TALK ""
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TALK "LLM Usage"
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TALK " Total Tokens: " + FORMAT(totalTokens, "#,###")
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TALK ""
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HEAR action AS TEXT WITH "Options: (D)etail, (E)xport report, (A)lerts, (B)ack"
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SELECT CASE UCASE(action)
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CASE "D", "DETAIL"
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TALK "Select metric for detailed view:"
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TALK "1. Messages breakdown by channel"
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TALK "2. Sessions by bot"
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TALK "3. Response time distribution"
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TALK "4. Error breakdown by type"
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HEAR detailChoice AS INTEGER
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SELECT CASE detailChoice
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CASE 1
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CALL "message-analytics.bas"
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CASE 2
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CALL "user-analytics.bas"
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CASE 3
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CALL "performance-metrics.bas"
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CASE 4
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CALL "error-analysis.bas"
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END SELECT
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CASE "E", "EXPORT"
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HEAR exportFormat AS TEXT WITH "Export format (PDF, CSV, XLSX):" DEFAULT "PDF"
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report = {
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"title": "Platform Overview Report",
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"generated_at": NOW(),
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"time_range": timeRange,
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"metrics": {
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"total_messages": totalMessages,
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"messages_trend": messagesTrend,
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"avg_sessions": avgSessions,
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"sessions_trend": sessionsTrend,
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"avg_response_time": avgResponseTime,
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"total_errors": totalErrors,
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"error_rate": (totalErrors / totalMessages) * 100,
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"total_tokens": totalTokens
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}
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}
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filename = "platform_overview_" + FORMAT(NOW(), "YYYYMMDD_HHmmss")
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SELECT CASE UCASE(exportFormat)
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CASE "PDF"
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GENERATE PDF filename + ".pdf" WITH TEMPLATE "analytics_report" DATA report
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CASE "CSV"
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WRITE filename + ".csv", CSV(report.metrics)
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CASE "XLSX"
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WRITE filename + ".xlsx", EXCEL(report)
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END SELECT
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TALK "Report exported: " + filename + "." + LCASE(exportFormat)
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TALK "The file is available in your Drive."
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CASE "A", "ALERTS"
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CALL "configure-alerts.bas"
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CASE "B", "BACK"
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CALL "start.bas"
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CASE ELSE
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CALL "start.bas"
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END SELECT
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