46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
import re
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from datetime import datetime
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def extract_and_save_customer_info_flow(client, message: str, customer_id: str, db):
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"""从消息中提取客户信息并保存。"""
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if not message or not customer_id:
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return
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email_pattern = r"[\w\.-]+@[\w\.-]+\.\w+"
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email_match = re.search(email_pattern, message)
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if email_match:
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db.update_email(customer_id, email_match.group())
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phone_pattern = r"1[3-9]\d{9}"
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phone_match = re.search(phone_pattern, message)
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if phone_match:
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db.update_phone(customer_id, phone_match.group())
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wechat_pattern = r"[Vv微信]+号[:：]?\s*([\w-]+)"
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wechat_match = re.search(wechat_pattern, message)
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if wechat_match:
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db.update_wechat(customer_id, wechat_match.group(1))
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budget_keywords = ["预算", "不超过", "最多", "便宜点", "便宜"]
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for keyword in budget_keywords:
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if keyword in message:
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db.add_personality_tag(customer_id, "关注价格")
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break
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personality_keywords = {
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"爽快": "爽快",
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"干脆": "爽快",
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"纠结": "纠结",
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"墨迹": "纠结",
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"砍价": "砍价",
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"贵": "砍价",
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}
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for keyword, tag in personality_keywords.items():
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if keyword in message:
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db.add_personality_tag(customer_id, tag)
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profile = db.get_customer(customer_id)
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profile.last_contact = datetime.now().isoformat()
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db.save_customer(profile)
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