Files
Michael Chihlas d6218f2e07
Some checks failed
Mirror to GitHub / mirror (push) Successful in 11s
CI / backend (pull_request) Failing after 11m23s
CI / frontend (pull_request) Failing after 2m41s
CI / e2e (pull_request) Has been skipped
fix(tests): import all models in conftest so create_all sees the full schema
The test_db fixture calls Base.metadata.create_all on a fresh test DB.
That only creates tables for models that have been imported (and thus
registered with Base.metadata) by the time the fixture runs.

app.main imports app.core.database (which gives us Base) but does NOT
eagerly import the model modules — most are pulled in lazily inside
scheduler functions (archive_stale_ai_sessions etc.) and route
modules. At fixture-setup time, only the handful of models touched by
those eager imports are on the metadata, so any test that exercises
PSA, network diagrams, ratings, escalations, etc. fails with
\`UndefinedTableError: relation "X" does not exist\` and a cascade of
500s on every endpoint that queries the missing table.

Adding \`from app import models as _models\` (rather than the bare
\`import app.models\` which would shadow the \`app\` FastAPI instance
imported just above) pulls in app/models/__init__.py, which itself
imports every model module — registering all ~60 tables with
Base.metadata before create_all runs.

Verified locally: tests/test_psa_writeback_phase4.py went from
1 failed / 6 errors → 4 failed / 3 passed (the cascading errors were
masking the actual passes).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-25 02:49:06 -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