https://github.com/brandenvs/code-review-ai-agent

Code Review AI agent.
https://github.com/brandenvs/code-review-ai-agent

codereview llama3 ollama pgai webscraping

Last synced: 2 months ago
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Code Review AI agent.

• Host: GitHub
• URL: https://github.com/brandenvs/code-review-ai-agent
• Owner: brandenvs
• Created: 2024-12-31T11:30:01.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2025-02-03T17:22:57.000Z (4 months ago)
• Last Synced: 2025-03-07T18:54:41.720Z (2 months ago)
• Topics: codereview, llama3, ollama, pgai, webscraping
• Language: HTML
• Homepage:
• Size: 11.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Code review agent usage

### BUILD

1. Open terminal.

2. Run `cd ` (`dir` you want to clone into).

3. Clone the repository:

    ```bash

      git clone https://github.com/brandenvs/code_review_agent.git

    ```

4. **Build, monitor and stop** application services using docker:

    ```bash

      docker compose up --build -d

      docker compose logs -f

      docker compose down

    ```

### ACCESS 

Access Database via Adminer (GUI approach).

1. Make sure all containers are up and running, if you have docker desktop you can click the `cr_container` and the containers statuses and logs files.

   ![statuses](docs/images/image-1.png)

   *start up combined logs*:

   ![logs](docs/images/image-2.png)

2. You can also check on Linux by running `sudo docker ps` and confirming 4 containers are running.

3. Open your browser and go to [localhost:8080](http://localhost:8080/?pgsql=db) / Click on the `8080:8080` port on desktop.

![adminer](docs/images/image-3.png)

You will be prompted with a login.

![login](docs/images/image-4.png)

#### PostgreSQL credentials:

- **POSTGRES_USER**: `cr_user`

- **POSTGRES_DB**: `cr_database`

- **POSTGRES_PASSWORD**: `crauto2025`

*Successful login*:

![alt text](docs/images/image-5.png)

4. Click `SQL command`:

  ![alt text](docs/images/image-6.png)

5. Run the following statement to install the pgAI extension:

   ```bash

   CREATE EXTENSION IF NOT EXISTS ai CASCADE;

   ```

*You should have the `vectorizer-worker-1` dependency warning resolved.*

1. Now use the `startup_final.ipynb` Juypter notebook and `cheatsheet.ipynb` to build the pipeline and start inserting data based on the given our your own schemas.If you require more assistance than this I suggest taking a look at  [TimescaleDb](https://www.timescale.com/).

### 📝‼️ **NOTE**:

**I plan to build a Django application which will build alongside the other services in `docker-compose.yml`. This will allow me to build a secure ecosystem with a frontend (Django) web application.**