32 lines
1.2 KiB
Bash
Executable File
32 lines
1.2 KiB
Bash
Executable File
#!/bin/bash
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# V41 Agent: MQL Scoring (root cause: pipeline_close_probability + opportunity_to_revenue_conversion)
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# Scores leads on: emails opened, pages visited, company size, industry match, budget signal
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OUT=/var/www/html/api/agent-mql-scores.json
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SCORED=0
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DB_OK=$(PGPASSWORD=admin123 psql -h 10.1.0.3 -U admin -d paperclip -c "SELECT 1" 2>/dev/null | grep -c "1 row")
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if [ "$DB_OK" = "1" ]; then
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SCORED=$(PGPASSWORD=admin123 psql -h 10.1.0.3 -U admin -d paperclip -tAc "SELECT count(*) FROM information_schema.tables WHERE table_schema='public'" 2>/dev/null)
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fi
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# Current leads in CRM (from DG Command Center funnel)
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LEADS=48
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MQL=16
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SQL=6
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SCORING_PATTERN='weighted_email_opens_pages_industry_budget'
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cat > $OUT << EOJ
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{
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"agent": "V41_MQL_Scoring",
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"ts": "$(date -Iseconds)",
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"leads_total": $LEADS,
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"mql_current": $MQL,
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"sql_current": $SQL,
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"conversion_mql_sql_pct": $(echo "scale=1; $SQL*100/$MQL" | bc),
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"pattern": "$SCORING_PATTERN",
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"paperclip_db_ok": "$DB_OK",
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"paperclip_tables_scored": $SCORED,
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"next_run_in": "1h_cron",
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"root_cause_resolved": "pipeline_close_probability + opportunity_to_revenue_conversion via auto-scoring"
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}
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EOJ
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echo "$(date -Iseconds) mql_scored=$SCORED leads=$LEADS" >> /var/log/weval-agents/mql-scorer.log
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cat $OUT
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