feat(models): 组织、用户、角色、客户、会话与消息模型
按组织边界定义数据关系,补齐仓储层与通用工具,迁移脚本可重复执行。
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"""
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Copyright 2024-2026 ChatterMate
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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from sqlalchemy import JSON, Boolean, Column, DateTime, Float, ForeignKey, Integer, String, Text
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from sqlalchemy.dialects.postgresql import UUID
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from sqlalchemy.orm import relationship
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from sqlalchemy.sql import expression, func
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from app.database import Base
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# Staged autonomy levels — enforced in code (TicketService/worker), never just
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# in the prompt.
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AUTONOMY_INVESTIGATE_ONLY = 1 # L1: investigate + summarize
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AUTONOMY_PROPOSE_APPROVE = 2 # L2: propose resolution, human approves
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AUTONOMY_AUTO_RESOLVE = 3 # L3: auto-resolve + notify customer
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# Default customer message templates. [customer]/[ticket] placeholders are
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# substituted at send time.
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DEFAULT_CREATED_TEMPLATE = (
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"Hi [customer] — we've opened ticket [ticket] about your issue and our "
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"team is on it. We'll keep you posted."
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)
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DEFAULT_RESOLVED_TEMPLATE = (
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"Good news [customer] — ticket [ticket] is resolved. Here's what happened "
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"and what we did to fix it. Reply if anything's still off."
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)
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# Default SLA targets in minutes, keyed by priority value.
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DEFAULT_SLA_TARGETS = {
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"urgent": {"first_response_minutes": 15, "resolution_minutes": 120},
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"high": {"first_response_minutes": 30, "resolution_minutes": 240},
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"medium": {"first_response_minutes": 120, "resolution_minutes": 1440},
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"low": {"first_response_minutes": 480, "resolution_minutes": 4320},
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}
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class OrganizationTicketSettings(Base):
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"""Per-org AI ticketing policy: autonomy level, SLA targets, customer
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comms templates and investigation budgets. One row per organization,
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created lazily with defaults on first read.
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"""
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__tablename__ = "organization_ticket_settings"
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organization_id = Column(
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UUID(as_uuid=True),
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ForeignKey("organizations.id", ondelete="CASCADE"),
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primary_key=True,
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)
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autonomy_level = Column(Integer, nullable=False, default=AUTONOMY_INVESTIGATE_ONLY, server_default="1")
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auto_investigate_on_create = Column(Boolean, nullable=False, default=True, server_default=expression.true())
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min_confidence_to_auto_resolve = Column(Float, nullable=False, default=0.85)
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# resolved_pending_confirmation -> closed after this many hours without a
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# customer reply.
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confirmation_timeout_hours = Column(Integer, nullable=False, default=72, server_default="72")
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csat_enabled = Column(Boolean, nullable=False, default=True, server_default=expression.true())
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# {"urgent": {"first_response_minutes": 15, "resolution_minutes": 120}, ...}
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sla_targets = Column(JSON, nullable=True)
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# Customer message templates with [customer]/[ticket] placeholders.
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created_template = Column(Text, nullable=True)
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resolved_template = Column(Text, nullable=True)
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# Jira escalation (one-way sync). jira_escalation_priority is the minimum
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# priority value that also syncs to Jira.
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jira_escalation_enabled = Column(Boolean, nullable=False, default=False, server_default=expression.false())
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jira_escalation_priority = Column(String, nullable=True)
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# Ticket-scoped MCP connector selection (list of mcp_tools.id) —
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# deliberately separate from the chat-facing MCPToolToAgent m2m so
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# observability connectors are never handed to the customer-facing agent.
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investigation_mcp_tool_ids = Column(JSON, nullable=True)
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# Alert-webhook intake: Grafana/Datadog/CloudWatch alerts auto-open
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# tickets via POST /tickets/webhooks/alerts/{org_id}/{secret}.
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alert_webhook_enabled = Column(Boolean, nullable=False, default=False, server_default=expression.false())
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# URL-path token authenticating alert posts; rotated by re-enabling.
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alert_webhook_secret = Column(String(64), nullable=True)
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# Investigation budgets.
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max_tool_calls_per_run = Column(Integer, nullable=False, default=25, server_default="25")
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max_runs_per_ticket = Column(Integer, nullable=False, default=3, server_default="3")
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monthly_investigation_cap = Column(Integer, nullable=True)
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created_at = Column(DateTime(timezone=True), server_default=func.now())
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updated_at = Column(DateTime(timezone=True), onupdate=func.now())
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organization = relationship("Organization")
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