Files
resolutionflow/backend/app/models/ai_session.py
Michael Chihlas b49772f1a1 feat(models): Phase 1 SQLAlchemy models — SessionFact, SessionSuggestedFix, DraftTemplate, AccountSettings
Backs the schema added in 210d310 with SQLAlchemy 2.0 models.

- SessionFact: "What we know" facts with polymorphic source_ref pointing
  at task-lane item UUIDs inside ai_sessions.pending_task_lane (not a FK
  per Section 4.2).
- SessionSuggestedFix: AI-proposed resolutions with supersession tracking
  and the full user_decision state machine.
- DraftTemplate: post-resolve templatization queue with promotion to
  script_templates.
- AccountSettings: per-account JSONB preferences grab-bag with async
  classmethod helpers — get_setting(db, account_id, key, default) reads
  without creating, set_setting(db, account_id, key, value) upserts via
  Postgres ON CONFLICT + jsonb `||` merge so existing keys are preserved.
  Lazy row creation matches the Phase 1 design.

Column additions on existing models to mirror the migration:
- AISession: resolution_note_* / escalation_package_* / state_version
  (the preview-cache-invalidation counter consumed by Phase 3).
- ScriptTemplate: source_session_id / source_user_id / source_ticket_ref
  (provenance for templates promoted from DraftTemplate).

All four new models registered in app.models.__init__ and __all__.
TYPE_CHECKING-guarded relationship imports throughout, matching the
repo's existing model style.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-17 18:35:00 +00:00

301 lines
12 KiB
Python

"""AI-powered troubleshooting session model.
Represents a complete FlowPilot interaction from intake to resolution/escalation.
This is the central entity of the FlowPilot-First pivot.
"""
import uuid
from datetime import datetime, timezone
from typing import Optional, Any, TYPE_CHECKING
from sqlalchemy import String, Text, DateTime, ForeignKey, Boolean, Integer, Float, CheckConstraint
import sqlalchemy as sa
from sqlalchemy.orm import Mapped, mapped_column, relationship
from sqlalchemy.dialects.postgresql import UUID, JSONB
from app.core.database import Base
if TYPE_CHECKING:
from app.models.user import User
from app.models.team import Team
from app.models.account import Account
from app.models.tree import Tree
from app.models.psa_connection import PsaConnection
from app.models.session_branch import SessionBranch
from app.models.fork_point import ForkPoint
from app.models.session_handoff import SessionHandoff
from app.models.session_resolution_output import SessionResolutionOutput
class AISession(Base):
"""A FlowPilot-guided troubleshooting session.
Lifecycle: active → resolved | escalated | abandoned
Sessions may be paused and resumed (e.g., escalation handoff).
"""
__tablename__ = "ai_sessions"
__table_args__ = (
CheckConstraint(
"intake_type IN ('free_text', 'psa_ticket', 'screenshot', 'log_paste', 'combined')",
name="ck_ai_sessions_intake_type",
),
CheckConstraint(
"status IN ('active', 'paused', 'resolved', 'escalated', 'requesting_escalation', 'abandoned')",
name="ck_ai_sessions_status",
),
CheckConstraint(
"confidence_tier IN ('guided', 'exploring', 'discovery')",
name="ck_ai_sessions_confidence_tier",
),
)
id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True), primary_key=True, default=uuid.uuid4
)
user_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True),
ForeignKey("users.id", ondelete="CASCADE"),
nullable=False,
index=True,
)
account_id: Mapped[uuid.UUID] = mapped_column(
UUID(as_uuid=True),
ForeignKey("accounts.id", ondelete="CASCADE"),
nullable=False,
index=True,
)
team_id: Mapped[Optional[uuid.UUID]] = mapped_column(
UUID(as_uuid=True),
ForeignKey("teams.id", ondelete="SET NULL"),
nullable=True,
index=True,
)
# ── Session type ──
session_type: Mapped[str] = mapped_column(
String(10), nullable=False, default="guided", index=True,
comment="Session type: guided (FlowPilot) or chat (assistant)",
)
title: Mapped[Optional[str]] = mapped_column(
String(255), nullable=True,
comment="Display title for chat sessions; guided sessions use problem_summary",
)
# ── Intake ──
intake_type: Mapped[str] = mapped_column(
String(20), nullable=False, default="free_text"
)
intake_content: Mapped[dict[str, Any]] = mapped_column(
JSONB, nullable=False, default=dict,
comment="Original intake data: {text, image_urls, log_content, ticket_data}",
)
problem_summary: Mapped[Optional[str]] = mapped_column(
Text, nullable=True,
comment="AI-generated one-line problem summary from intake",
)
problem_domain: Mapped[Optional[str]] = mapped_column(
String(100), nullable=True,
comment="Classified domain: active_directory, networking, m365, hardware, etc.",
)
# ── Session state ──
status: Mapped[str] = mapped_column(
String(30), nullable=False, default="active", index=True,
)
confidence_tier: Mapped[str] = mapped_column(
String(20), nullable=False, default="discovery",
comment="Current AI confidence: guided (>80%), exploring (40-80%), discovery (<40%)",
)
confidence_score: Mapped[float] = mapped_column(
Float, nullable=False, default=0.0,
comment="Numeric confidence 0.0-1.0 for internal tracking",
)
# ── Flow matching ──
matched_flow_id: Mapped[Optional[uuid.UUID]] = mapped_column(
UUID(as_uuid=True),
ForeignKey("trees.id", ondelete="SET NULL"),
nullable=True,
comment="If following an existing flow, which one",
)
match_score: Mapped[Optional[float]] = mapped_column(
Float, nullable=True,
comment="Similarity score of the matched flow (0.0-1.0)",
)
# ── PSA link ──
psa_ticket_id: Mapped[Optional[str]] = mapped_column(
String(100), nullable=True,
comment="External PSA ticket ID if session was started from a ticket",
)
psa_connection_id: Mapped[Optional[uuid.UUID]] = mapped_column(
UUID(as_uuid=True),
ForeignKey("psa_connections.id", ondelete="SET NULL"),
nullable=True,
)
ticket_data: Mapped[Optional[dict[str, Any]]] = mapped_column(
JSONB, nullable=True,
comment="Snapshot of PSA ticket data at session start",
)
# ── Resolution / Escalation ──
resolution_summary: Mapped[Optional[str]] = mapped_column(
Text, nullable=True,
comment="What fixed the issue (set on resolution)",
)
resolution_action: Mapped[Optional[str]] = mapped_column(
Text, nullable=True,
comment="The specific action/step that resolved the issue",
)
escalation_reason: Mapped[Optional[str]] = mapped_column(
Text, nullable=True,
comment="Why escalated (set on escalation)",
)
escalation_package: Mapped[Optional[dict[str, Any]]] = mapped_column(
JSONB, nullable=True,
comment="Context package for receiving engineer: steps_tried, hypotheses, suggestions",
)
escalated_to_id: Mapped[Optional[uuid.UUID]] = mapped_column(
UUID(as_uuid=True),
ForeignKey("users.id", ondelete="SET NULL"),
nullable=True,
)
# ── Feedback ──
session_rating: Mapped[Optional[int]] = mapped_column(
Integer, nullable=True,
comment="1-5 engineer feedback rating",
)
session_feedback: Mapped[Optional[str]] = mapped_column(
Text, nullable=True,
comment="Optional feedback text from engineer",
)
# ── Knowledge Flywheel ──
analysis_status: Mapped[Optional[str]] = mapped_column(
String(20), nullable=True,
comment="Knowledge Flywheel status: null (N/A), pending, completed, failed",
)
# ── AI tracking ──
total_input_tokens: Mapped[int] = mapped_column(
Integer, nullable=False, default=0,
)
total_output_tokens: Mapped[int] = mapped_column(
Integer, nullable=False, default=0,
)
step_count: Mapped[int] = mapped_column(
Integer, nullable=False, default=0,
)
# ── Timestamps ──
created_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True), default=lambda: datetime.now(timezone.utc)
)
updated_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True),
default=lambda: datetime.now(timezone.utc),
onupdate=lambda: datetime.now(timezone.utc),
)
resolved_at: Mapped[Optional[datetime]] = mapped_column(
DateTime(timezone=True), nullable=True,
)
# ── LLM conversation context ──
system_prompt_snapshot: Mapped[Optional[str]] = mapped_column(
Text, nullable=True,
comment="Snapshot of the system prompt used (for debugging/training)",
)
conversation_messages: Mapped[list[dict[str, Any]]] = mapped_column(
JSONB, nullable=False, default=list,
comment="Full LLM message history for context continuity",
)
pending_task_lane: Mapped[Optional[dict[str, Any]]] = mapped_column(
JSONB, nullable=True,
comment="Current task lane state: {questions: [...], actions: [...]}",
)
# ── Resolution / Escalation artifacts (Phase 1 — FlowPilot migration) ──
# Markdown of the posted note + PSA external ID for round-trip traceability.
resolution_note_markdown: Mapped[Optional[str]] = mapped_column(
Text, nullable=True,
comment="Final Resolve note markdown, as posted to the PSA",
)
resolution_note_posted_at: Mapped[Optional[datetime]] = mapped_column(
DateTime(timezone=True), nullable=True,
)
resolution_note_external_id: Mapped[Optional[str]] = mapped_column(
String(128), nullable=True,
comment="PSA (e.g. CW) ticket-note ID returned at post time",
)
escalation_package_markdown: Mapped[Optional[str]] = mapped_column(
Text, nullable=True,
comment="Final Escalate handoff package markdown, as posted to the PSA",
)
escalation_package_posted_at: Mapped[Optional[datetime]] = mapped_column(
DateTime(timezone=True), nullable=True,
)
escalation_package_external_id: Mapped[Optional[str]] = mapped_column(
String(128), nullable=True,
comment="PSA ticket-note ID for the escalation package",
)
# Incremented atomically by any write that invalidates the resolution
# note preview cache (facts, suggested fixes, script generations).
# See FLOWPILOT-MIGRATION.md Section 5.5.
state_version: Mapped[int] = mapped_column(
Integer, nullable=False, default=0, server_default=sa.text("0"),
comment="Monotonic preview-cache version; bumped on state-changing writes",
)
# ── Branching ──
is_branching: Mapped[bool] = mapped_column(
default=False,
comment="Whether conversational branching is active for this session",
)
active_branch_id: Mapped[Optional[uuid.UUID]] = mapped_column(
UUID(as_uuid=True), nullable=True,
comment="Currently viewed branch. No FK — soft pointer to avoid circular FK with session_branches",
)
handoff_count: Mapped[int] = mapped_column(
Integer, nullable=False, default=0,
comment="Number of times this session has been handed off",
)
total_active_seconds: Mapped[int] = mapped_column(
Integer, nullable=False, default=0,
comment="Cumulative active time in seconds",
)
total_parked_seconds: Mapped[int] = mapped_column(
Integer, nullable=False, default=0,
comment="Cumulative parked time in seconds",
)
# ── Relationships ──
user: Mapped["User"] = relationship("User", foreign_keys=[user_id])
account: Mapped["Account"] = relationship("Account")
team: Mapped[Optional["Team"]] = relationship("Team")
matched_flow: Mapped[Optional["Tree"]] = relationship("Tree", foreign_keys=[matched_flow_id])
escalated_to: Mapped[Optional["User"]] = relationship("User", foreign_keys=[escalated_to_id])
psa_connection: Mapped[Optional["PsaConnection"]] = relationship("PsaConnection")
steps: Mapped[list["AISessionStep"]] = relationship(
"AISessionStep", back_populates="session",
cascade="all, delete-orphan",
order_by="AISessionStep.step_order",
)
branches: Mapped[list["SessionBranch"]] = relationship(
"SessionBranch",
foreign_keys="SessionBranch.session_id",
back_populates="session",
cascade="all, delete-orphan",
order_by="SessionBranch.branch_order",
)
handoffs: Mapped[list["SessionHandoff"]] = relationship(
"SessionHandoff",
back_populates="session",
cascade="all, delete-orphan",
order_by="SessionHandoff.created_at",
)
resolution_outputs: Mapped[list["SessionResolutionOutput"]] = relationship(
"SessionResolutionOutput",
back_populates="session",
cascade="all, delete-orphan",
)