mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2026-06-18 07:19:35 +00:00
96 lines
3.2 KiB
Python
96 lines
3.2 KiB
Python
"""
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Run an end-to-end demo of the acquisition pipeline.
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Usage: python scripts/run_demo.py
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"""
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from __future__ import annotations
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import asyncio
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import json
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from rich.console import Console
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from auto_client_acquisition.agents.intake import LeadSource
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from auto_client_acquisition.pipeline import AcquisitionPipeline
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console = Console()
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SAMPLE_LEADS = [
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{
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"source": LeadSource.WEBSITE,
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"payload": {
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"company": "شركة التقنية المتقدمة",
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"name": "أحمد محمد",
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"email": "ahmed@techadvanced.sa",
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"phone": "+966501234567",
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"sector": "technology",
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"company_size": "medium",
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"region": "Saudi Arabia",
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"budget": 50000,
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"message": "نحتاج نظام AI لأتمتة إدارة المبيعات، المشكلة عندنا بطء في الرد على العملاء عاجل",
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},
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},
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{
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"source": LeadSource.WEBSITE,
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"payload": {
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"company": "Saudi Logistics Co",
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"name": "John Smith",
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"email": "john@saudilogistics.com",
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"sector": "logistics",
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"company_size": "large",
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"region": "Saudi Arabia",
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"budget": 120000,
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"message": "We need help with route optimization - manual process is slow and expensive",
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},
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},
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{
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"source": LeadSource.WHATSAPP,
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"payload": {
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"company": "",
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"name": "عبدالله",
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"phone": "+966555123456",
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"message": "السلام عليكم، نبي حل ذكي لجدولة المواعيد في عيادتنا، عندنا فوضى",
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},
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},
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]
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async def main() -> None:
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pipeline = AcquisitionPipeline()
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for i, lead in enumerate(SAMPLE_LEADS, 1):
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console.rule(f"[bold cyan]Lead {i}/{len(SAMPLE_LEADS)}[/bold cyan]")
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console.print(f"Source: {lead['source'].value}")
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console.print(f"Payload: {json.dumps(lead['payload'], ensure_ascii=False, indent=2)}")
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with console.status("[cyan]Running pipeline...[/cyan]"):
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result = await pipeline.run(
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payload=lead["payload"],
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source=lead["source"],
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use_llm_pain=False, # keyword-only for fast demo
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auto_book=False,
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)
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console.print(f"\n[green]✓[/green] Lead ID: {result.lead.id}")
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console.print(f" Company: {result.lead.company_name}")
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console.print(f" Locale: {result.lead.locale}")
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console.print(f" Status: {result.lead.status.value}")
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if result.fit_score:
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console.print(
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f" Fit tier: [bold]{result.fit_score.tier}[/bold] "
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f"(score {result.fit_score.overall_score:.2f})"
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)
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if result.extraction:
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console.print(
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f" Pain points: {len(result.extraction.pain_points)} found, "
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f"urgency {result.extraction.urgency_score:.1f}"
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)
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if result.warnings:
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console.print(f" [yellow]Warnings: {len(result.warnings)}[/yellow]")
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console.rule("[bold green]Demo complete[/bold green]")
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if __name__ == "__main__":
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asyncio.run(main())
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