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cli.py
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#!/usr/bin/env python3
"""
Aura CLI — Advanced Terminal Interface
Full feature parity with the GUI application.
"""
import sys
import os
import argparse
import json
import logging
import shlex
import signal
import subprocess
import textwrap
import warnings
from datetime import datetime, timedelta
from collections import OrderedDict
# Fix Windows terminal encoding — enable UTF-8 output for Unicode chars
if sys.platform == "win32":
sys.stdout.reconfigure(encoding="utf-8", errors="replace")
sys.stderr.reconfigure(encoding="utf-8", errors="replace")
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from config import APP_NAME, APP_VERSION
from utils.logger import get_logger
logger = get_logger("cli")
# ═══════════════════════════════════════════════════════════════════════════════
# Formatter — ANSI Terminal Output
# ═══════════════════════════════════════════════════════════════════════════════
class Formatter:
"""ANSI terminal output formatting with auto-detection."""
_use_color = True
@classmethod
def init(cls):
"""Detect terminal color support."""
if os.environ.get("NO_COLOR") or os.environ.get("TERM") == "dumb":
cls._use_color = False
return
if sys.platform == "win32":
try:
import ctypes
kernel32 = ctypes.windll.kernel32
kernel32.SetConsoleMode(kernel32.GetStdHandle(-11), 7)
except Exception:
cls._use_color = False
@classmethod
def _wrap(cls, code: str, text: str) -> str:
if not cls._use_color:
return text
return f"\033[{code}m{text}\033[0m"
@classmethod
def bold(cls, text: str) -> str:
return cls._wrap("1", text)
@classmethod
def dim(cls, text: str) -> str:
return cls._wrap("2", text)
@classmethod
def green(cls, text: str) -> str:
return cls._wrap("32", text)
@classmethod
def red(cls, text: str) -> str:
return cls._wrap("31", text)
@classmethod
def yellow(cls, text: str) -> str:
return cls._wrap("33", text)
@classmethod
def cyan(cls, text: str) -> str:
return cls._wrap("36", text)
@classmethod
def blue(cls, text: str) -> str:
return cls._wrap("34", text)
@classmethod
def magenta(cls, text: str) -> str:
return cls._wrap("35", text)
@classmethod
def header(cls, text: str):
"""Print a bold section header."""
print(f"\n{cls.bold(text)}")
print(cls.dim("─" * min(len(text) + 4, 60)))
@classmethod
def success(cls, text: str):
print(f" {cls.green('✓')} {text}")
@classmethod
def error(cls, text: str):
print(f" {cls.red('✗')} {text}")
@classmethod
def warn(cls, text: str):
print(f" {cls.yellow('!')} {text}")
@classmethod
def info(cls, text: str):
print(f" {cls.cyan('→')} {text}")
@classmethod
def badge(cls, label: str, color_fn=None) -> str:
fn = color_fn or cls.cyan
return fn(f"[{label}]")
@classmethod
def kv(cls, key: str, value, pad: int = 18):
"""Print a key-value pair with aligned padding."""
print(f" {cls.dim(key.ljust(pad))} {value}")
@classmethod
def table(cls, headers: list, rows: list, col_widths: list = None):
"""Print a simple table with headers and rows."""
if not rows:
print(cls.dim(" (no data)"))
return
if not col_widths:
col_widths = []
for i, h in enumerate(headers):
max_w = len(str(h))
for row in rows:
if i < len(row):
max_w = max(max_w, len(str(row[i])))
col_widths.append(min(max_w + 2, 40))
# Header
header_line = ""
for i, h in enumerate(headers):
header_line += cls.bold(str(h).ljust(col_widths[i]))
print(f" {header_line}")
print(f" {cls.dim('─' * sum(col_widths))}")
# Rows
for row in rows:
line = ""
for i, cell in enumerate(row):
if i < len(col_widths):
s = str(cell) if cell is not None else ""
if len(s) > col_widths[i] - 2:
s = s[:col_widths[i] - 4] + "…"
line += s.ljust(col_widths[i])
print(f" {line}")
@classmethod
def progress_bar(cls, current: int, total: int, width: int = 30):
"""Print an inline progress bar."""
if total <= 0:
return
pct = min(current / total, 1.0)
filled = int(width * pct)
bar = "█" * filled + "░" * (width - filled)
print(f"\r {bar} {current}/{total} ({pct:.0%})", end="", flush=True)
# ═══════════════════════════════════════════════════════════════════════════════
# CommandRegistry — Decorator-based command registration
# ═══════════════════════════════════════════════════════════════════════════════
_COMMAND_REGISTRY = OrderedDict()
COMMAND_GROUPS = OrderedDict([
("pipeline", "Lead Pipeline"),
("campaigns", "Campaigns"),
("leads", "Leads"),
("fleet", "Fleet & Agents"),
("kanban", "Kanban & Tickets"),
("skills", "Skills"),
("research", "Research"),
("voice", "Voice Calls"),
("budget", "Budget & Pacing"),
("trends", "Trends"),
("autonomy", "Autonomy"),
("suppression", "Suppression"),
("integrations", "Integrations"),
("history", "History"),
("knowledge", "Knowledge & Memory"),
("config", "Configuration"),
("system", "System"),
])
def command(name: str, group: str, help_text: str, usage: str = ""):
"""Decorator to register a CLI command."""
def decorator(fn):
_COMMAND_REGISTRY[name] = {
"fn": fn,
"group": group,
"help": help_text,
"usage": usage or f"/{name}",
"name": name,
}
return fn
return decorator
# ═══════════════════════════════════════════════════════════════════════════════
# HelpSystem — Grouped /help pages
# ═══════════════════════════════════════════════════════════════════════════════
class HelpSystem:
"""Terminal help system with grouped pages and per-command help."""
@staticmethod
def show_overview():
f = Formatter
print(f"\n{f.bold(APP_NAME)} v{APP_VERSION} — AI Sales Agent CLI")
print(f.dim("Type /help <group> or /help <command> for details.\n"))
for group_key, group_label in COMMAND_GROUPS.items():
cmds = [c for c in _COMMAND_REGISTRY.values() if c["group"] == group_key]
if not cmds:
continue
cmd_names = ", ".join(f.cyan(f"/{c['name']}") for c in cmds)
print(f" {f.bold(group_label.ljust(20))} {cmd_names}")
print()
@staticmethod
def show_group(group_key: str):
f = Formatter
label = COMMAND_GROUPS.get(group_key, group_key)
cmds = [c for c in _COMMAND_REGISTRY.values() if c["group"] == group_key]
if not cmds:
f.error(f"Unknown group: {group_key}")
print(f" Available groups: {', '.join(COMMAND_GROUPS.keys())}")
return
f.header(f"{label} Commands")
for c in cmds:
print(f" {f.cyan(c['usage'].ljust(40))} {c['help']}")
print()
@staticmethod
def show_command(cmd_name: str):
f = Formatter
name = cmd_name.lstrip("/")
cmd = _COMMAND_REGISTRY.get(name)
if not cmd:
f.error(f"Unknown command: /{name}")
return
group_label = COMMAND_GROUPS.get(cmd["group"], cmd["group"])
print(f"\n {f.bold('Command:')} {f.cyan('/' + name)}")
print(f" {f.bold('Group:')} {group_label}")
print(f" {f.bold('Usage:')} {cmd['usage']}")
print(f" {f.bold('About:')} {cmd['help']}")
print()
# ═══════════════════════════════════════════════════════════════════════════════
# AuraCLI — Main CLI Application
# ═══════════════════════════════════════════════════════════════════════════════
class AuraCLI:
"""Advanced CLI with full engine initialization and REPL."""
def __init__(self, skip_init: bool = False):
self.db = None
self.key_vault = None
self.engines = {}
self._engines_dict = {}
if not skip_init:
self._init_engines()
# ─── Engine Initialization (mirrors main_window.py) ─────────────────────
def _init_engines(self):
"""Full engine initialization mirroring GUI's main_window._init_controllers."""
from database.db_manager import DatabaseManager
from core.key_vault import KeyVault
# Phase 1: Database
self.db = DatabaseManager()
self.db.init_db()
self.db.migrate_schema()
self.db.seed_defaults()
self.db.seed_default_agents()
# Phase 2: Key Vault + migration
self.key_vault = KeyVault()
self._migrate_keys()
# Phase 3: Safety Guard
from core.safety_guard import SafetyGuard
self.engines["safety"] = SafetyGuard()
# Phase 4: AI Engine + Router
from core.ai_engine import AIEngine
from core.router_engine import RouterEngine
self.engines["ai"] = AIEngine(safety_guard=self.engines["safety"])
self.engines["router"] = RouterEngine(self.db, self.key_vault)
self.engines["ai"].set_router(self.engines["router"])
# Phase 5: Suppression
from core.suppression_engine import SuppressionEngine
self.engines["suppression"] = SuppressionEngine(self.db)
# Phase 6: Scraper
from core.scraper_engine import ScraperEngine
self.engines["scraper"] = ScraperEngine(
suppression_engine=self.engines["suppression"]
)
# Phase 7: Enrichment
from core.enrichment_engine import EnrichmentEngine
self.engines["enrichment"] = EnrichmentEngine(self.db)
# Phase 8: Delivery
from core.delivery_engine import DeliveryEngine
self.engines["delivery"] = DeliveryEngine()
# Phase 9: Reply Detector
from core.reply_detector import ReplyDetector
self.engines["reply"] = ReplyDetector(self.db, self.key_vault)
# Phase 10: RAG
from core.rag_engine import RAGEngine
self.engines["rag"] = RAGEngine(self.db)
self.engines["ai"].set_rag_engine(self.engines["rag"])
self.engines["delivery"].rag_engine = self.engines["rag"]
self.engines["reply"].rag_engine = self.engines["rag"]
# Phase 11: Channel + CRM + Triage
from core.channel_engine import ChannelEngine
from core.crm_engine import CRMEngine
from core.triage_engine import TriageEngine
self.engines["channel"] = ChannelEngine(self.db, self.engines["ai"])
self.engines["crm"] = CRMEngine(self.db, self.key_vault)
self.engines["triage"] = TriageEngine(
self.db, self.key_vault,
ai_engine=self.engines["ai"],
suppression_engine=self.engines["suppression"],
)
# Phase 12: API Queue + Apollo/Hunter/HubSpot/LinkedIn
from core.api_queue import APIQueue
from core.apollo_engine import ApolloEngine
from core.hunter_engine import HunterEngine
from core.hubspot_engine import HubSpotEngine
from core.linkedin_engine import LinkedInEngine
self.engines["api_queue"] = APIQueue(self.db)
self.engines["apollo"] = ApolloEngine(self.db, self.key_vault, self.engines["api_queue"])
self.engines["hunter"] = HunterEngine(self.db, self.key_vault, self.engines["api_queue"])
self.engines["hubspot"] = HubSpotEngine(self.db, self.key_vault, self.engines["api_queue"])
self.engines["linkedin"] = LinkedInEngine()
# Wire waterfall enrichment
self.engines["enrichment"].apollo_engine = self.engines["apollo"]
self.engines["enrichment"].hunter_engine = self.engines["hunter"]
self.engines["enrichment"].router_engine = self.engines["router"]
# Response formatter for structured CLI output
from core.response_formatter import ResponseFormatter, Platform
self.formatter = ResponseFormatter()
self._platform = Platform.CLI
# Phase 13: Skill Registry
from core.skill_registry import SkillRegistry
self.engines["skill_registry"] = SkillRegistry(self.db)
self.engines["skill_registry"].seed_builtin_skills()
# Phase 14: Pacing + Batch
from core.pacing_engine import PacingEngine
from core.batch_importer import BatchImporter
self.engines["pacing"] = PacingEngine(self.db, self.engines["router"])
self.engines["router"].pacing_engine = self.engines["pacing"]
self.engines["batch"] = BatchImporter(self.db)
# Phase 15: Sequence + AB + Scheduler
from core.sequence_engine import SequenceEngine
from core.ab_engine import ABEngine
from core.scheduler_engine import SchedulerEngine
self.engines["sequence"] = SequenceEngine(self.db)
self.engines["ab"] = ABEngine(self.db)
self.engines["scheduler"] = SchedulerEngine(self.db)
# Phase 16: Report + Analyst
from core.report_engine import ReportEngine
from core.analyst_engine import AnalystEngine
self.engines["report"] = ReportEngine(self.db)
self.engines["analyst"] = AnalystEngine(self.db, self.key_vault)
# Phase 17: Orchestrator
from core.orchestrator_engine import OrchestratorEngine
self.engines["orchestrator"] = OrchestratorEngine(self.db, self.key_vault)
# Build engines dict for orchestrator
self._engines_dict = {
"suppression": self.engines["suppression"],
"report": self.engines["report"],
"enrichment": self.engines["enrichment"],
"apollo": self.engines["apollo"],
"hunter": self.engines["hunter"],
"hubspot": self.engines["hubspot"],
"linkedin": self.engines["linkedin"],
"router": self.engines["router"],
"rag": self.engines["rag"],
"channel": self.engines["channel"],
"crm": self.engines["crm"],
"triage": self.engines["triage"],
"pacing": self.engines["pacing"],
"skill_registry": self.engines["skill_registry"],
}
# Phase 18: Gateway
from core.gateway_engine import GatewayEngine
self.engines["gateway"] = GatewayEngine(
self.db, self.key_vault,
self.engines["orchestrator"], self._engines_dict,
)
self._engines_dict["gateway"] = self.engines["gateway"]
# Phase 19: Agent + Fleet + Observer + Trends
from core.agent_engine import AgentEngine
from core.fleet_orchestrator import FleetOrchestrator
from core.observer_engine import ObserverEngine
from core.trends_engine import TrendsEngine
self.engines["agent"] = AgentEngine(
self.db, self.key_vault, self.engines["router"],
pacing_engine=self.engines["pacing"],
)
self.engines["fleet"] = FleetOrchestrator(self.db, self.engines["agent"])
self.engines["observer"] = ObserverEngine(self.db, self.engines["agent"])
self.engines["trends"] = TrendsEngine(self.db)
# Phase 20: Ticket + Escalation + Scheduler
from core.ticket_engine import TicketEngine
from core.escalation_engine import EscalationEngine
from core.ticket_scheduler import TicketScheduler
self.engines["ticket"] = TicketEngine(self.db)
self.engines["escalation"] = EscalationEngine(
self.db, self.engines["ticket"], self.engines["agent"],
)
self.engines["ticket_scheduler"] = TicketScheduler(
self.db, self.engines["ticket"], self.engines["agent"],
)
self.engines["agent"].escalation_engine = self.engines["escalation"]
# Phase 21: Command History
from core.command_history import CommandHistoryEngine
self.engines["command_history"] = CommandHistoryEngine(self.db)
self.engines["gateway"].command_history = self.engines["command_history"]
self.engines["agent"].command_history = self.engines["command_history"]
self.engines["fleet"].command_history = self.engines["command_history"]
# Register into engines dict
self._engines_dict.update({
"agent": self.engines["agent"],
"fleet": self.engines["fleet"],
"observer": self.engines["observer"],
"trends": self.engines["trends"],
"ticket": self.engines["ticket"],
"escalation": self.engines["escalation"],
"ticket_scheduler": self.engines["ticket_scheduler"],
"command_history": self.engines["command_history"],
})
# Phase 22: Advanced AI engines
from core.reflection_engine import ReflectionEngine
from core.lead_lifecycle_engine import LeadLifecycleEngine
from core.knowledge_graph_engine import KnowledgeGraphEngine
from core.conversation_engine import ConversationEngine
from core.self_improvement_engine import SelfImprovementEngine
from core.strategy_engine import StrategyEngine
from controllers.autonomy_controller import AutonomyController
self.engines["reflection"] = ReflectionEngine(
self.db, router_engine=self.engines["router"]
)
self.engines["lifecycle"] = LeadLifecycleEngine(
self.db, fleet_orchestrator=self.engines["fleet"]
)
self.engines["knowledge_graph"] = KnowledgeGraphEngine(
self.db, rag_engine=self.engines["rag"]
)
self.engines["conversation"] = ConversationEngine(
self.db, router_engine=self.engines["router"],
rag_engine=self.engines["rag"],
knowledge_graph=self.engines["knowledge_graph"],
)
self.engines["self_improvement"] = SelfImprovementEngine(
self.db, reflection_engine=self.engines["reflection"],
rag_engine=self.engines["rag"],
fleet_orchestrator=self.engines["fleet"],
)
self.engines["strategy"] = StrategyEngine(
self.db, fleet_orchestrator=self.engines["fleet"],
knowledge_graph=self.engines["knowledge_graph"],
)
self.engines["autonomy"] = AutonomyController(self.db)
# Cross-wire advanced engines into agent
self.engines["agent"].reflection_engine = self.engines["reflection"]
self.engines["agent"].knowledge_graph = self.engines["knowledge_graph"]
self.engines["agent"].self_improvement_engine = self.engines["self_improvement"]
self.engines["agent"].autonomy_controller = self.engines["autonomy"]
# Wire into reply detector
self.engines["reply"].conversation_engine = self.engines["conversation"]
self.engines["reply"].lead_lifecycle_engine = self.engines["lifecycle"]
self.engines["reply"].knowledge_graph_engine = self.engines["knowledge_graph"]
self.engines["reply"].strategy_engine = self.engines["strategy"]
# Wire into enrichment
self.engines["enrichment"].lead_lifecycle_engine = self.engines["lifecycle"]
self.engines["enrichment"].knowledge_graph_engine = self.engines["knowledge_graph"]
# Wire command history into advanced engines
self.engines["autonomy"].command_history = self.engines["command_history"]
self.engines["lifecycle"].command_history = self.engines["command_history"]
self.engines["reflection"].command_history = self.engines["command_history"]
# Phase 23: Token Manager + Case + Subagent
from core.token_manager import TokenManager
from core.case_engine import CaseEngine
from core.subagent_engine import SubagentEngine
self.engines["token_manager"] = TokenManager(
self.db, router_engine=self.engines["router"],
)
self.engines["case"] = CaseEngine(
self.db, router_engine=self.engines["router"],
token_manager=self.engines["token_manager"],
)
self.engines["subagent"] = SubagentEngine(
self.db, router_engine=self.engines["router"],
)
# Inject into agent
self.engines["agent"].token_manager = self.engines["token_manager"]
self.engines["agent"].case_engine = self.engines["case"]
self.engines["agent"].subagent_engine = self.engines["subagent"]
# Inject case into lifecycle + reflection
self.engines["lifecycle"].case_engine = self.engines["case"]
self.engines["reflection"].case_engine = self.engines["case"]
# Phase 24: Research
from core.research_engine import ResearchEngine
self.engines["research"] = ResearchEngine(
self.db, router_engine=self.engines["router"],
key_vault=self.key_vault,
)
self.engines["research"].case_engine = self.engines["case"]
self.engines["research"].configure(self.key_vault)
# Phase 25: Voice
from core.voice_call_engine import VoiceCallEngine
self.engines["voice"] = VoiceCallEngine(
self.db, router_engine=self.engines["router"],
key_vault=self.key_vault,
)
self.engines["voice"].case_engine = self.engines["case"]
self.engines["voice"].research_engine = self.engines["research"]
self.engines["voice"].lead_lifecycle_engine = self.engines["lifecycle"]
self.engines["voice"].configure(self.key_vault)
# Register remaining engines
self._engines_dict.update({
"reflection": self.engines["reflection"],
"lifecycle": self.engines["lifecycle"],
"knowledge_graph": self.engines["knowledge_graph"],
"conversation": self.engines["conversation"],
"self_improvement": self.engines["self_improvement"],
"strategy": self.engines["strategy"],
"autonomy": self.engines["autonomy"],
"analyst": self.engines["analyst"],
"token_manager": self.engines["token_manager"],
"case": self.engines["case"],
"subagent": self.engines["subagent"],
"research": self.engines["research"],
"voice": self.engines["voice"],
})
# Configure AI engine with saved keys
self._configure_ai()
logger.debug("CLI engine initialization complete (%d engines)", len(self.engines))
def _migrate_keys(self):
"""Migrate legacy encryption keys if needed."""
settings = self.db.get_settings()
if not settings:
return
enc_fields = [
"gemini_key_enc", "anthropic_key_enc", "openai_key_enc",
"openrouter_key_enc", "resend_key_enc", "smtp_password_enc",
"apollo_key_enc", "hunter_key_enc", "hubspot_key_enc",
"tavily_key_enc", "firecrawl_key_enc", "apify_key_enc",
"twilio_account_sid_enc", "twilio_auth_token_enc",
"elevenlabs_key_enc",
]
updated = False
for field in enc_fields:
val = getattr(settings, field, None)
if val:
new_val = self.key_vault.migrate_ciphertext(val)
if new_val:
with self.db.session_scope() as session:
from database.schema import Settings as S
s = session.query(S).first()
setattr(s, field, new_val)
updated = True
if updated:
logger.info("Migrated encryption keys to new salt")
def _configure_ai(self):
"""Load API keys and configure AI engine."""
settings = self.db.get_settings()
if not settings:
return
api_keys = {}
for provider in ["gemini", "anthropic", "openai", "openrouter"]:
enc_val = getattr(settings, f"{provider}_key_enc", None)
if enc_val:
decrypted = self.key_vault.decrypt(enc_val)
if decrypted:
api_keys[provider] = decrypted
models = {}
if settings.tier2_model:
models["tier2"] = settings.tier2_model
if settings.tier3_model:
models["tier3"] = settings.tier3_model
if api_keys:
self.engines["ai"].configure(api_keys, models)
# Configure delivery
if settings.resend_key_enc:
key = self.key_vault.decrypt(settings.resend_key_enc)
if key:
self.engines["delivery"].configure_resend(key)
if settings.smtp_host:
smtp_pass = ""
if settings.smtp_password_enc:
smtp_pass = self.key_vault.decrypt(settings.smtp_password_enc) or ""
self.engines["delivery"].configure_smtp(
settings.smtp_host, settings.smtp_port or 587,
settings.smtp_user or "", smtp_pass,
)
def _shutdown(self):
"""Gracefully stop all background resources."""
logger.debug("Shutting down Aura CLI…")
try:
if "reply" in self.engines:
self.engines["reply"].close_connection()
except Exception:
pass
try:
if "fleet" in self.engines:
self.engines["fleet"].shutdown_fleet()
except Exception:
pass
try:
if "enrichment" in self.engines:
self.engines["enrichment"].end_batch()
except Exception:
pass
try:
if "voice" in self.engines:
self.engines["voice"].stop_server()
except Exception:
pass
logger.debug("Shutdown complete.")
# ─── Helper Methods ─────────────────────────────────────────────────────
def _get_settings(self):
return self.db.get_settings()
def _get_lead_dict(self, lead):
"""Convert a Lead ORM object to a dict."""
return {
"id": lead.id,
"business_name": lead.business_name,
"category": lead.category,
"city": lead.city,
"phone": lead.phone,
"email": lead.email,
"source_url": lead.source_url,
"website_url": lead.website_url,
"status": lead.status,
"lifecycle_state": getattr(lead, "lifecycle_state", None),
"snippet": lead.notes or "",
}
def _parse_args(self, text: str) -> list:
"""Parse command arguments respecting quotes."""
try:
return shlex.split(text)
except ValueError:
return text.split()
# ═══════════════════════════════════════════════════════════════════════════
# PIPELINE COMMANDS
# ═══════════════════════════════════════════════════════════════════════════
@command("hunt", "pipeline", "Scrape leads for a niche",
"/hunt <niche> --city <city> [--limit N] [--sources s1,s2]")
def cmd_hunt(self, args: list):
f = Formatter
parser = argparse.ArgumentParser(prog="/hunt", add_help=False)
parser.add_argument("niche", nargs="?", help="Business niche")
parser.add_argument("--city", default="", help="Target city")
parser.add_argument("--limit", "-n", type=int, default=50)
parser.add_argument("--sources", default="", help="Comma-separated sources")
try:
opts = parser.parse_args(args)
except SystemExit:
print(f" Usage: /hunt <niche> --city <city> [--limit N]")
return
if not opts.niche:
f.error("Niche is required. Usage: /hunt <niche> --city <city>")
return
from database.schema import Campaign, Lead
f.info(f"Hunting for {opts.limit} leads: '{opts.niche}' in '{opts.city}'…")
kwargs = {
"query": f"{opts.niche} {opts.city}".strip(),
"city": opts.city,
"niche": opts.niche,
"limit": opts.limit,
}
if opts.sources:
kwargs["sources"] = opts.sources.split(",")
def on_progress(pct):
Formatter.progress_bar(pct, 100)
kwargs["_progress_callback"] = on_progress
leads = self.engines["scraper"].run(**kwargs)
print() # Clear progress bar line
# Save to campaign
with self.db.session_scope() as session:
campaign = Campaign(
name=f"{opts.niche} — {opts.city}",
target_niche=opts.niche,
target_city=opts.city,
status="active",
)
session.add(campaign)
session.flush()
campaign_id = campaign.id
saved = 0
for ld in leads:
with self.db.session_scope() as session:
lead = Lead(
campaign_id=campaign_id,
business_name=ld.business_name,
category=ld.category,
city=ld.city,
phone=ld.phone,
email=ld.email,
source_url=ld.source_url,
source_platform=ld.source_platform,
has_website=ld.has_website,
website_url=ld.website_url,
status="new",
)
session.add(lead)
saved += 1
f.success(f"Found {len(leads)} leads, saved {saved} to campaign ID {campaign_id}")
@command("qualify", "pipeline", "AI-qualify leads in a campaign",
"/qualify <campaign_id>")
def cmd_qualify(self, args: list):
f = Formatter
if not args:
f.error("Usage: /qualify <campaign_id>")
return
campaign_id = int(args[0])
from database.schema import Campaign, Lead
with self.db.session_scope() as session:
leads = session.query(Lead).filter_by(
campaign_id=campaign_id, status="new"
).all()
lead_dicts = [self._get_lead_dict(l) for l in leads]
campaign = session.query(Campaign).filter_by(id=campaign_id).first()
niche = campaign.target_niche if campaign else ""
if not lead_dicts:
f.warn("No new leads to qualify.")
return
f.info(f"Qualifying {len(lead_dicts)} leads…")
qualified = 0
for i, ld in enumerate(lead_dicts):
result = self.engines["ai"].qualify_lead(ld, niche)
status = "qualified" if result.get("qualified") else "disqualified"
with self.db.session_scope() as session:
lead = session.query(Lead).filter_by(id=ld["id"]).first()
if lead:
lead.status = status
lead.notes = (lead.notes or "") + f"\n[{status.title()}] Score: {result.get('score', 0)}/10"
if result.get("qualified"):
qualified += 1
f.success(f"{ld['business_name']}: qualified ({result.get('score', 0)}/10)")
else:
f.warn(f"{ld['business_name']}: disqualified ({result.get('score', 0)}/10)")
Formatter.progress_bar(i + 1, len(lead_dicts))
print()
f.success(f"Qualified: {qualified}/{len(lead_dicts)}")
@command("enrich", "pipeline", "Enrich leads with contact data",
"/enrich <campaign_id> [--waterfall]")
def cmd_enrich(self, args: list):
f = Formatter
if not args:
f.error("Usage: /enrich <campaign_id>")
return
campaign_id = int(args[0])
from database.schema import Lead
with self.db.session_scope() as session:
leads = session.query(Lead).filter_by(campaign_id=campaign_id).filter(
Lead.status.in_(["new", "qualified"])
).all()
lead_ids = [l.id for l in leads]
if not lead_ids:
f.warn("No leads to enrich.")
return
f.info(f"Enriching {len(lead_ids)} leads…")
for i, lid in enumerate(lead_ids):
result = self.engines["enrichment"].waterfall_enrich_lead(lid)
if result.get("success"):
f.success(f"Lead {lid}: enriched")
else:
f.warn(f"Lead {lid}: {result.get('error', 'failed')}")
Formatter.progress_bar(i + 1, len(lead_ids))
print()
@command("draft", "pipeline", "Generate email drafts for qualified leads",
"/draft <campaign_id>")
def cmd_draft(self, args: list):
f = Formatter
if not args:
f.error("Usage: /draft <campaign_id>")
return
campaign_id = int(args[0])
from database.schema import Campaign, Lead, Skill
with self.db.session_scope() as session:
leads = session.query(Lead).filter_by(
campaign_id=campaign_id, status="qualified"
).all()
lead_dicts = [self._get_lead_dict(l) for l in leads]
campaign = session.query(Campaign).filter_by(id=campaign_id).first()
niche = campaign.target_niche if campaign else ""
skill_dict = {}
if campaign and campaign.skill_id:
skill = session.query(Skill).filter_by(id=campaign.skill_id).first()
if skill:
skill_dict = {
"name": skill.name, "tone": skill.tone,
"template": skill.template, "niche": niche,
}
if not skill_dict:
skill_dict = {"name": "Default", "tone": "professional", "template": "", "niche": niche}
if not lead_dicts:
f.warn("No qualified leads to draft emails for.")
return
settings = self._get_settings()
sender_name = settings.sender_name if settings else APP_NAME
f.info(f"Drafting emails for {len(lead_dicts)} leads…")
drafted = 0
for ld in lead_dicts:
result = self.engines["ai"].generate_email(ld, skill_dict, sender_name=sender_name)
if result.get("subject") and result.get("body"):
with self.db.session_scope() as session:
from database.schema import Lead as L
lead = session.query(L).filter_by(id=ld["id"]).first()
if lead:
lead.email_subject = result["subject"]
lead.email_body = result["body"]
lead.status = "email_drafted"
drafted += 1
f.success(f"{ld['business_name']}: {result['subject'][:50]}…")
else:
f.error(f"{ld['business_name']}: draft failed")
f.success(f"Drafted: {drafted}/{len(lead_dicts)}")
@command("send", "pipeline", "Send drafted emails",
"/send <campaign_id> [--count N]")
def cmd_send(self, args: list):
f = Formatter
parser = argparse.ArgumentParser(prog="/send", add_help=False)
parser.add_argument("campaign_id", type=int)
parser.add_argument("--count", "-n", type=int, default=None)
try:
opts = parser.parse_args(args)
except SystemExit:
print(" Usage: /send <campaign_id> [--count N]")
return
from database.schema import Lead
with self.db.session_scope() as session:
query = session.query(Lead).filter_by(
campaign_id=opts.campaign_id, status="email_drafted"
)
leads = query.limit(opts.count).all() if opts.count else query.all()
lead_dicts = [{
"id": l.id, "business_name": l.business_name, "email": l.email,
"email_subject": l.email_subject, "email_body": l.email_body,
} for l in leads if l.email]
settings = self._get_settings()
from_email = settings.sender_email if settings else ""
from_name = settings.sender_name if settings else APP_NAME
if not from_email:
f.error("No sender email configured. Run /config-smtp first.")
return
if not lead_dicts:
f.warn("No drafted emails to send.")
return
f.info(f"Sending {len(lead_dicts)} emails from {from_email}…")
sent = 0
for ld in lead_dicts:
result = self.engines["delivery"].send_email(
to_email=ld["email"], from_email=from_email,
subject=ld["email_subject"], body=ld["email_body"],
from_name=from_name,
)
if result.get("success"):
with self.db.session_scope() as session:
lead = session.query(Lead).filter_by(id=ld["id"]).first()
if lead:
lead.status = "emailed"
lead.email_sent_at = datetime.utcnow()
sent += 1
f.success(f"{ld['business_name']} ({ld['email']})")
else:
f.error(f"{ld['business_name']}: {result.get('error', 'unknown')}")
f.success(f"Sent: {sent}/{len(lead_dicts)}")
@command("replies", "pipeline", "Check inbox for email replies", "/replies")
def cmd_replies(self, args: list):
f = Formatter
f.info("Checking inbox for replies…")
results = self.engines["reply"].check_inbox()
if results:
f.success(f"Found {len(results)} new replies:")
for r in results:
print(f" Lead #{r.get('lead_id', '?')}: {r.get('subject', 'No subject')}")
else:
f.info("No new replies found.")
@command("sequence", "pipeline", "Manage follow-up sequences",
"/sequence <list|create|run> [campaign_id]")
def cmd_sequence(self, args: list):
f = Formatter
action = args[0] if args else "list"
if action == "list":
campaign_id = int(args[1]) if len(args) > 1 else None
seqs = self.engines["sequence"].get_sequences_for_campaign(campaign_id)
if not seqs:
f.info("No sequences found.")
return
f.header("Sequences")
for s in seqs:
print(f" ID {s.get('id', '?')} {s.get('name', 'Unnamed')} "
f"Steps: {s.get('step_count', '?')}")
elif action == "run":
if len(args) < 2:
f.error("Usage: /sequence run <campaign_id>")
return
campaign_id = int(args[1])
leads = self.engines["sequence"].get_leads_due_for_followup(campaign_id)
if not leads:
f.info("No leads due for follow-up.")