angel
72b6879f4b
- Refactored max_bot from nested packages to flat module structure - Q2: Extended BotUser model (patronymic, email, org, address, vcf_raw, contact_hash, phone_verified, email_verified, last_interaction, total_conversations, total_tickets) - Q2: VCF parser (FN, N, TEL, EMAIL, ORG, ADR), upsert on re-contact, NLP history context (_get_user_history_context -> YandexGPT) - Q1: Broadcast preview modal with 10s confirmation timer - Q3: CSS var(--white)->var(--bg-card), var(--text)->var(--text-primary) - Q4: bot_settings showNotification(), editable max_bot_id - Q5: Webhook secret passthrough via X-Max-Bot-Api-Secret - Masking sensitive keys, dialog_cleared handler, migrate via _add_column_if_not_exists() - Rate limit (asyncio.sleep 0.5 per 10), dead code removed, conv.intent context in contact.py - Portal pages: bot_consent, bot_kb (edit), bot_settings, bot_test, bot_tickets, portal_settings - Tests: 21/21 passing, added test_yandex_gpt.py, test_email_sender.py - Deploy: deploy_full.sh, schema.sql, seed_knowledge_base.sql
78 lines
2.9 KiB
Python
78 lines
2.9 KiB
Python
import datetime
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import re
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import logging
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from sqlalchemy import select
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from app.database import async_session
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from app.models import BotUser, BotConversation, BotMessage
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from app.max_api import max_api
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logger = logging.getLogger(__name__)
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PHONE_PATTERN = re.compile(r"^(\+7|8|7)?[\s\-]?\(?\d{3}\)?[\s\-]?\d{3}[\s\-]?\d{2}[\s\-]?\d{2}$")
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EMAIL_PATTERN = re.compile(r"^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$")
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async def handle_contact_received(user_id: int, conv_id: int, contact_text: str) -> None:
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async with async_session() as db:
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result = await db.execute(select(BotUser).where(BotUser.id == user_id))
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user = result.scalar_one_or_none()
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if user:
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if PHONE_PATTERN.match(contact_text):
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user.phone = contact_text
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elif EMAIL_PATTERN.match(contact_text):
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user.phone = contact_text
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result = await db.execute(
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select(BotConversation).where(BotConversation.id == conv_id)
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)
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conv = result.scalar_one_or_none()
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if conv:
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conv.state = "awaiting_inquiry"
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if conv.intent == "unknown" or not conv.intent:
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await _ask_inquiry(user_id, conv)
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else:
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await _ask_inquiry_with_context(user_id, conv)
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await db.commit()
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async def handle_manual_contact(user_id: int, conv_id: int, text: str) -> None:
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text = text.strip()
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async with async_session() as db:
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msg = BotMessage(
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conversation_id=conv_id,
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direction="incoming",
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text=text,
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created_at=datetime.datetime.utcnow(),
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)
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db.add(msg)
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await db.commit()
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if PHONE_PATTERN.match(text) or EMAIL_PATTERN.match(text):
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await handle_contact_received(user_id, conv_id, text)
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else:
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await max_api.send_message(
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user_id,
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"Пожалуйста, введите корректный номер телефона (например, +7 (861) 203-33-30) "
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"или адрес электронной почты.",
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)
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async def _ask_inquiry(user_id: int, conv: BotConversation) -> None:
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await max_api.send_message(
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user_id,
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"Опишите, пожалуйста, ваш вопрос или задачу. "
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"Расскажите подробнее, чем мы можем вам помочь.",
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)
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async def _ask_inquiry_with_context(user_id: int, conv: BotConversation) -> None:
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intent_label = "вопрос" if conv.intent == "question" else "заявку на услугу" if conv.intent == "ticket" else "обращение"
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await max_api.send_message(
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user_id,
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f"Ранее вы упомянули, что хотите оставить {intent_label}. "
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"Опишите подробнее суть вашего обращения, чтобы я могла передать "
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"информацию специалисту.",
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)
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