zhanghongyu_0626
4b8e11c9bd
- Added `ThresholdRepository` for managing customer loss threshold configurations and notifications. - Introduced `threshold_service` to handle loss threshold alerts based on customer portfolio performance. - Enhanced `customer_prompts` to include new intent for querying product net values. - Updated `customer_service` to integrate new threshold alert functionality into existing workflows. - Implemented `sanitize_postprocess` for improved compliance handling in customer interactions. - Enhanced course documentation to reflect updates in advisor training modules and interactive elements. This update significantly improves the customer experience by providing proactive loss threshold notifications and enhancing the overall service framework.
116 lines
4.1 KiB
Python
116 lines
4.1 KiB
Python
"""环境配置（从 .env 读取，见 .env.example）。"""
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from decimal import Decimal
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from pydantic_settings import BaseSettings, SettingsConfigDict
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class Settings(BaseSettings):
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model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8", extra="ignore")
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app_env: str = "development"
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mysql_host: str = "127.0.0.1"
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mysql_port: int = 3306
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mysql_database: str = "jinrong_agent"
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mysql_core_database: str = "jinrong_core"
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mysql_user: str = "root"
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mysql_password: str = ""
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redis_url: str = "redis://127.0.0.1:6379/0"
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neo4j_uri: str = "bolt://localhost:7687"
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neo4j_user: str = "neo4j"
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neo4j_password: str = ""
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milvus_uri: str = "./data/milvus.db"
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kb_root_dir: str = "./data/kb_collections"
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ollama_base_url: str = "http://127.0.0.1:11434"
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embed_model: str = "bge-m3"
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embed_dim: int = 1024
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embed_timeout_seconds: float = 60.0
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deepseek_api_key: str = ""
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deepseek_base_url: str = "https://api.deepseek.com"
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deepseek_model: str = "deepseek-chat"
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deepseek_temperature: float = 0.3
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deepseek_max_tokens: int = 1024
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# ===== 游客 Agent（客服线 · redis-keys §2.2）=====
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visitor_session_ttl: int = 1800
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visitor_chitchat_max_rounds: int = 15
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visitor_consult_max_rounds: int = 25
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visitor_rate_window_seconds: int = 60
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visitor_rate_max_requests: int = 30
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# ===== 客户 Agent 会话/画像/归档（客服线 CS Wave 3~5）=====
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customer_session_ttl: int = 7200
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customer_chitchat_max_rounds: int = 15
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customer_consult_max_rounds: int = 25
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profile_extract_every_rounds: int = 5
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profile_confidence_high: float = 0.9
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profile_confidence_default: float = 0.7
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profile_window_max_msgs: int = 40
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profile_preference_top_k: int = 3
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profile_preference_inject_ttl_days: int = 90
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profile_preference_decay_half_life_days: int = 30
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archive_idle_minutes: int = 120
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archive_idle_scan_limit: int = 3
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archive_summary_max_msgs: int = 30
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note_max_inject: int = 5
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note_content_max_len: int = 500
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# ===== JWT（T-01 · JWT 手册 §4/§11）=====
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jwt_public_key_path: str = ""
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jwt_dev_secret: str = "change-me-in-dev-only"
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jwt_dev_algorithm: str = "HS256"
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jwt_dev_expire_hours: int = 8
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jwt_issuer: str = "https://idp.jinrong.internal"
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jwt_audience: str = "agent-gateway"
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# ===== Risk 阈值（默认值=冻结规则 · docs/PRD/附-风控规则表.md）=====
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risk_large_amount: Decimal = Decimal("500000")
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risk_daily_total: Decimal = Decimal("500000")
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risk_freq_count: int = 3
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risk_probe_window_minutes: int = 5
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risk_probe_count: int = 3
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risk_probe_amount: Decimal = Decimal("400000")
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risk_small_amount: Decimal = Decimal("10000")
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risk_small_count: int = 3
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risk_aml_default_threshold: Decimal = Decimal("0.85")
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# ===== 风控追加 v1.1（FR-8/9/10 · PRD §4A · C4~C6 共用）=====
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risk_concentration_threshold: float = 0.80
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risk_escalation_scan_minutes: int = 15
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risk_escalation_l1_hours: int = 4
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risk_escalation_l2_hours: int = 24
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risk_escalation_aml_l1_hours: int = 1
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risk_escalation_aml_l2_hours: int = 4
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risk_agent_behavior_scan_minutes: int = 30
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risk_agent_behavior_a_window_hours: int = 24
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risk_agent_behavior_a_count: int = 3
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risk_agent_behavior_b_window_hours: int = 72
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risk_agent_behavior_b_count: int = 5
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risk_agent_behavior_c_window_hours: int = 24
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risk_agent_behavior_c_count: int = 10
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# ===== 输入防护（T-03 · F-03）=====
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guard_rate_limit_max: int = 30
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guard_rate_limit_window_seconds: int = 60
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# ===== 画像 Redis 热缓存（redis-keys 手册 · cache-aside）=====
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profile_l1_cache_ttl_seconds: int = 600 # profile:l1:{customer_id} · 10m
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profile_l3_cache_ttl_seconds: int = 300 # profile:l3:{customer_id} · 5m
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# ===== 代销平台 API（v0.1）=====
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platform_response_desensitize: bool = False
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# ===== 数据分析 Agent（NL2SQL 问数线）=====
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analyst_sql_max_rows: int = 1000
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analyst_sql_timeout_s: int = 10
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analyst_guardrail_retry_times: int = 1
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settings = Settings()
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