Add local development setup and configuration
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README.md
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README.md
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# beatmatchr
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# beatmatchr
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# beatmatchr backend
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A lightweight FastAPI service that powers beatmatchr. This guide walks through
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the steps required to run the backend locally.
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## Prerequisites
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- Python 3.10 or newer installed and available on your `PATH`.
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- [`ffmpeg`](https://ffmpeg.org/) installed (macOS: `brew install ffmpeg`,
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Ubuntu/Debian: `sudo apt install ffmpeg`).
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- Docker and Docker Compose (v2) for running Postgres and Redis.
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## 1. Create and activate a virtual environment
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```bash
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python3 -m venv .venv
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source .venv/bin/activate # Windows: .venv\Scripts\activate
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```
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## 2. Install Python dependencies
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With the virtual environment active, install the requirements:
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```bash
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pip install --upgrade pip
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pip install -r requirements.txt
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```
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## 3. Start Postgres and Redis via Docker Compose
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A `docker-compose.yml` file is provided at the repository root. Launch the
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services in the background:
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```bash
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docker compose up -d
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```
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This spins up:
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- Postgres on port `5432` with database/user/password `beatmatchr`.
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- Redis on port `6379` for task queue usage.
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If you need to tear everything down (including volumes), run:
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```bash
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docker compose down -v
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```
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## 4. Configure environment variables
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Export environment variables that the backend expects. The defaults line up with
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`docker-compose.yml`, so you can simply create a `.env` file (or export them in
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your shell):
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```bash
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export POSTGRES_USER=beatmatchr
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export POSTGRES_PASSWORD=beatmatchr
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export POSTGRES_DB=beatmatchr
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export POSTGRES_HOST=localhost
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export POSTGRES_PORT=5432
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export REDIS_HOST=localhost
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export REDIS_PORT=6379
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export REDIS_DB=0
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export CELERY_BROKER_URL=redis://localhost:6379/0
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export CELERY_RESULT_BACKEND=redis://localhost:6379/0
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```
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Feel free to adjust these if you change the Docker Compose configuration.
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## 5. Run database migrations / initialize tables
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If you have Alembic migrations configured, apply them with:
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```bash
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alembic upgrade head
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```
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If migrations are not available yet, you can run your project-specific database
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bootstrap script (for example `python -m backend.db init_db`) to create tables
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manually. Ensure the `DATABASE_URL` environment variable is pointing at the
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Postgres instance from the Docker Compose stack.
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## 6. Start the FastAPI application
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Launch the app with `uvicorn` (hot reload optional):
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```bash
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uvicorn backend.main:app --reload
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```
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The API will be available at <http://localhost:8000/>.
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## 7. Start the Celery/RQ worker
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For Celery, point to the Celery app defined in your project (replace the module
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path if needed):
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```bash
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celery -A backend.worker.celery_app worker --loglevel=info
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```
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If you are using RQ instead of Celery, start a worker referencing the same Redis
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instance:
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```bash
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rq worker beatmatchr --url redis://localhost:6379/0
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```
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## 8. Example API usage
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Replace `PROJECT_ID` with the UUID returned from the *create project* call.
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### Create a project
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```bash
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curl -X POST "http://localhost:8000/projects" \
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-H "Content-Type: application/json" \
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-d '{"name": "Demo Project", "description": "My first beatmatch"}'
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```
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### Upload audio to a project
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```bash
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curl -X POST "http://localhost:8000/projects/PROJECT_ID/audio" \
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-F "file=@/path/to/local/file.wav"
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```
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### Add a source clip by URL
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```bash
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curl -X POST "http://localhost:8000/projects/PROJECT_ID/sources" \
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-H "Content-Type: application/json" \
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-d '{"url": "https://example.com/audio.mp3", "start": 0, "end": 30}'
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```
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### Fetch lyrics for a track
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```bash
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curl "http://localhost:8000/projects/PROJECT_ID/lyrics"
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```
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With the services running and environment variables configured, you should be
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able to follow the steps above to interact with the beatmatchr backend locally.
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0
backend/__init__.py
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0
backend/__init__.py
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71
backend/config.py
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backend/config.py
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"""Application configuration utilities."""
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from __future__ import annotations
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import os
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from functools import lru_cache
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from typing import Any, Dict
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class Settings:
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"""Configuration values loaded from environment variables.
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The defaults are tuned for local development and match the docker-compose
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configuration provided in this repository. Each value can be overridden by
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setting the corresponding environment variable before starting the
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application.
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"""
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def __init__(self) -> None:
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self.postgres_user: str = os.getenv("POSTGRES_USER", "beatmatchr")
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self.postgres_password: str = os.getenv("POSTGRES_PASSWORD", "beatmatchr")
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self.postgres_db: str = os.getenv("POSTGRES_DB", "beatmatchr")
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self.postgres_host: str = os.getenv("POSTGRES_HOST", "localhost")
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self.postgres_port: int = int(os.getenv("POSTGRES_PORT", "5432"))
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self.redis_host: str = os.getenv("REDIS_HOST", "localhost")
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self.redis_port: int = int(os.getenv("REDIS_PORT", "6379"))
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self.redis_db: int = int(os.getenv("REDIS_DB", "0"))
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self.database_url: str = os.getenv(
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"DATABASE_URL",
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(
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"postgresql+asyncpg://"
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f"{self.postgres_user}:{self.postgres_password}"
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f"@{self.postgres_host}:{self.postgres_port}/{self.postgres_db}"
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),
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)
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redis_base_url = f"redis://{self.redis_host}:{self.redis_port}/{self.redis_db}"
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self.redis_url: str = os.getenv("REDIS_URL", redis_base_url)
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self.celery_broker_url: str = os.getenv("CELERY_BROKER_URL", self.redis_url)
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self.celery_result_backend: str = os.getenv(
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"CELERY_RESULT_BACKEND", self.redis_url
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)
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def dict(self) -> Dict[str, Any]:
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"""Return the settings as a plain dictionary (useful for debugging)."""
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return {
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"postgres_user": self.postgres_user,
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"postgres_password": self.postgres_password,
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"postgres_db": self.postgres_db,
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"postgres_host": self.postgres_host,
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"postgres_port": self.postgres_port,
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"database_url": self.database_url,
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"redis_host": self.redis_host,
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"redis_port": self.redis_port,
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"redis_db": self.redis_db,
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"redis_url": self.redis_url,
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"celery_broker_url": self.celery_broker_url,
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"celery_result_backend": self.celery_result_backend,
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}
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@lru_cache()
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def get_settings() -> Settings:
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"""Return a cached instance of :class:`Settings`."""
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return Settings()
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settings = get_settings()
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36
docker-compose.yml
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docker-compose.yml
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version: "3.9"
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services:
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postgres:
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image: postgres:15
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restart: unless-stopped
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environment:
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POSTGRES_USER: beatmatchr
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POSTGRES_PASSWORD: beatmatchr
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POSTGRES_DB: beatmatchr
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ports:
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- "5432:5432"
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volumes:
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- postgres-data:/var/lib/postgresql/data
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U beatmatchr"]
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interval: 10s
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timeout: 5s
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retries: 5
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redis:
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image: redis:7
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restart: unless-stopped
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ports:
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- "6379:6379"
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volumes:
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- redis-data:/data
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healthcheck:
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test: ["CMD", "redis-cli", "ping"]
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interval: 10s
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timeout: 5s
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retries: 5
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volumes:
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postgres-data:
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redis-data:
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12
requirements.txt
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requirements.txt
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fastapi>=0.110
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uvicorn[standard]>=0.24
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sqlalchemy>=2.0
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asyncpg>=0.29
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databases[postgresql]>=0.7
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alembic>=1.12
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aiofiles>=23.2
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pydantic>=2.0
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celery>=5.3
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redis>=5.0
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rq>=1.15
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python-dotenv>=1.0
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