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resolutionflow/backend
Michael Chihlas aca915b047
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fix(escalations): bump assessment timeout, surface picked-up sessions in sidebar
Two field-reported issues from live wedge testing.

ESCALATION_AI_ASSESSMENT_TIMEOUT_SECONDS bumped 5s → 15s. The 5s bound
fired too aggressively against the Sonnet diagnostic assessment prompt;
~4-8s is typical but tail latency hits 12-14s. The fallback "Assessment
unavailable — model didn't respond in time" placeholder was showing on
the magic-moment screen for two consecutive escalations, which kills
the demo. 15s keeps the click-path bounded but lets the typical case
return real content. Real fix is async generation (kick off, persist
when done, surface "still computing" with refresh) — captured as a
follow-up; bumping the bound is the right call for the wedge demo.

list_sessions now matches escalated_to_id == current_user.id alongside
the existing user_id and escalation_package.picked_up_by clauses. The
unified HandoffManager.claim_session sets escalated_to_id but doesn't
write the legacy picked_up_by JSONB key, so picked-up sessions never
showed in the senior's chat list — the senior would land on the
session detail (active chat) but the sidebar showed only their other
unrelated sessions. User reported this as "4 different versions of the
session in the chat history section" — they were actually 4 unrelated
empty sessions the senior owned, plus the picked-up session was just
invisible. Backend tests still 94/94.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-28 00:04:08 -04:00
..

Troubleshooting Decision Tree - Backend API

FastAPI backend for the Troubleshooting Decision Tree application.

Quick Start

1. Set up Python environment

cd backend
python -m venv venv

# Windows
venv\Scripts\activate

# macOS/Linux
source venv/bin/activate

pip install -r requirements.txt

2. Start PostgreSQL database

Using Docker:

docker-compose up -d

Or install PostgreSQL locally and create a database:

CREATE DATABASE decision_tree;

3. Configure environment

Copy the example env file and update as needed:

cp .env.example .env

4. Run database migrations

alembic upgrade head

5. Start the server

uvicorn app.main:app --reload --host 0.0.0.0 --port 8000

The API will be available at:

API Endpoints

Authentication

  • POST /api/v1/auth/register - Register new user
  • POST /api/v1/auth/login - Login (form data)
  • POST /api/v1/auth/login/json - Login (JSON body)
  • POST /api/v1/auth/refresh - Refresh token
  • GET /api/v1/auth/me - Get current user
  • POST /api/v1/auth/logout - Logout

Trees

  • GET /api/v1/trees - List all trees
  • GET /api/v1/trees/categories - List categories
  • GET /api/v1/trees/search?q=query - Search trees
  • GET /api/v1/trees/{id} - Get specific tree
  • POST /api/v1/trees - Create tree (engineer/admin)
  • PUT /api/v1/trees/{id} - Update tree (engineer/admin)
  • DELETE /api/v1/trees/{id} - Delete tree (admin)

Sessions

  • GET /api/v1/sessions - List user's sessions
  • GET /api/v1/sessions/{id} - Get specific session
  • POST /api/v1/sessions - Start new session
  • PUT /api/v1/sessions/{id} - Update session
  • POST /api/v1/sessions/{id}/complete - Complete session
  • POST /api/v1/sessions/{id}/export - Export session

Development

Create new migration

alembic revision --autogenerate -m "description"

Run migrations

alembic upgrade head

Rollback migration

alembic downgrade -1

Project Structure

backend/
├── alembic/              # Database migrations
│   └── versions/
├── app/
│   ├── api/
│   │   ├── endpoints/    # API route handlers
│   │   ├── deps.py       # Dependencies (auth, etc.)
│   │   └── router.py     # Main router
│   ├── core/
│   │   ├── config.py     # Settings
│   │   ├── database.py   # DB connection
│   │   └── security.py   # JWT, password hashing
│   ├── models/           # SQLAlchemy models
│   ├── schemas/          # Pydantic schemas
│   └── main.py           # FastAPI app
├── tests/
├── alembic.ini
├── docker-compose.yml
├── requirements.txt
└── README.md