Depression Crawler / Краулер депрессии

Practical part of the master’s thesis: a social media crawler that collects textual data for depression analysis.

Thesis

Jupyter experiments for the master’s thesis are available in the repository: depression-analysis

Development

Backend (crawler)

1. Install a dependency manager, e.g. uv.
2. From the project root, go to the crawler directory: cd crawler-vk
3. Copy the environment file: cp .env.example .env
4. Open .env and provide your data: tokens, keys, and other settings
5. Install dependencies: uv sync or make install
6. Run the development server on localhost: make serve
7. Build the Docker image: make build
8. Run the Docker container: make run

Frontend

1. Install Node.js and NPM.
2. From the project root, go to the frontend directory: cd front-next
3. Copy the environment file: cp .env.example .env
4. Open .env and provide your data
5. Install dependencies: npm install or make install
6. Run the development server on localhost: make dev
7. Build the Docker image: make build
8. Run the Docker container: make run

Deployment via Docker Compose

1. In the project root, copy the environment file: cp .env.example .env
2. Open .env and provide the required values
3. Build all Docker images: make build
4. Start all services: make run
5. Stop all services: make stop

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Версия на русскоя языке: README.ru.md.