### Verify Docker installation

Source: https://github.com/logpai/logparser/blob/main/docs/installation/install_docker.md

Runs the hello-world image to confirm Docker is installed correctly.

```bash
$ sudo docker run hello-world
```

--------------------------------

### Run Demo

Source: https://github.com/logpai/logparser/blob/main/logparser/DivLog/README.md

Starts the DivLog demo by replacing 'sk-xxx' with your OpenAI API Key.

```bash
python demo.py -key sk-xxx
```

--------------------------------

### Build logpai/logparser:py3

Source: https://github.com/logpai/logparser/blob/main/docs/installation/install_docker.md

Builds the logpai/logparser:py3 Docker image.

```bash
$ sudo docker run --name logparser_py3 -it ubuntu:16.04 bash

$ apt-get update
$ apt-get install -y wget bzip2 git
$ rm -rf /var/lib/apt/lists/*

$ cd /
mkdir anaconda
cd anaconda
wget https://repo.anaconda.com/archive/Anaconda3-5.1.0-Linux-x86_64.sh
bash Anaconda3-5.1.0-Linux-x86_64.sh
source ~/.bashrc
cd ..
rm -r anaconda

pip install deap
exit

$ docker commit logparser_py3 logpai/logparser:py3
$ docker login
$ docker push logpai/logparser:py3
```

--------------------------------

### Install Requirements

Source: https://github.com/logpai/logparser/blob/main/logparser/Brain/README.md

Install the required environment for the project.

```bash
pip install -r requirements.txt
```

--------------------------------

### Install LogParser

Source: https://github.com/logpai/logparser/blob/main/README.md

Install the logparser package and its requirements using pip.

```bash
pip install logparser3
```

--------------------------------

### Build logpai/logparser:py2

Source: https://github.com/logpai/logparser/blob/main/docs/installation/install_docker.md

Builds the logpai/logparser:py2 Docker image.

```bash
$ sudo docker run --name logparser_py2 -it ubuntu:16.04 bash

$ apt-get update
$ apt-get install -y wget bzip2
$ apt-get install -y gcc perl git
$ rm -rf /var/lib/apt/lists/*

$ cd /
mkdir anaconda
cd anaconda
wget https://repo.anaconda.com/archive/Anaconda2-5.2.0-Linux-x86_64.sh
bash Anaconda2-5.2.0-Linux-x86_64.sh
source ~/.bashrc
cd ..
rm -r anaconda
exit

$ docker commit logparser_py2 logpai/logparser:py2
$ docker login
$ docker push logpai/logparser:py2
```

--------------------------------

### Install Docker package (Ubuntu 16.04)

Source: https://github.com/logpai/logparser/blob/main/docs/installation/install_docker.md

Installs the Docker CE package on Ubuntu 16.04.

```bash
$ sudo dpkg -i ~/docker/docker-ce_17.03.2~ce-0~ubuntu-xenial_amd64.deb
```

--------------------------------

### Run Logparser Demos

Source: https://github.com/logpai/logparser/blob/main/docs/demo.md

After starting the Docker container, these commands clone the logparser repository and execute the Drain demo script on HDFS sample logs.

```bash
$ git clone https://github.com/logpai/logparser.git /logparser/
$ cd /logparser/demo/
$ python Drain_demo.py
```

--------------------------------

### Uninstall old docker versions

Source: https://github.com/logpai/logparser/blob/main/docs/installation/install_docker.md

Removes any previously installed Docker packages.

```bash
$ sudo apt-get remove docker docker-engine docker.io
```

--------------------------------

### Install linux-image-extra for aufs storage drivers (Ubuntu 14.04)

Source: https://github.com/logpai/logparser/blob/main/docs/installation/install_docker.md

Installs necessary kernel image extras for Docker's aufs storage driver on Ubuntu 14.04.

```bash
$ sudo apt-get update

$ sudo apt-get install \
    linux-image-extra-$(uname -r) \
    linux-image-extra-virtual
```

--------------------------------

### Add user to docker group

Source: https://github.com/logpai/logparser/blob/main/docs/installation/install_docker.md

Allows running Docker commands without sudo by adding the current user to the docker group.

```bash
$ sudo groupadd docker
$ sudo usermod -aG docker $USER
```

--------------------------------

### Install Docker package (Ubuntu 14.04)

Source: https://github.com/logpai/logparser/blob/main/docs/installation/install_docker.md

Installs the Docker CE package on Ubuntu 14.04.

```bash
$ sudo dpkg -i ~/docker/docker-ce_17.03.2~ce-0~ubuntu-trusty_amd64.deb
```

--------------------------------

### Run Docker Container for Python 2

Source: https://github.com/logpai/logparser/blob/main/docs/demo.md

This command sets up a Docker container for Python 2, mounting a local directory for persistence and entering the container's bash shell.

```bash
$ mkdir logparser
$ docker run --name logparser_py2 -it -v logparser:/logparser logpai/logparser:py2 bash
```

--------------------------------

### Run Docker Container for Python 3

Source: https://github.com/logpai/logparser/blob/main/docs/demo.md

This command sets up a Docker container for Python 3, suitable for running tools like MoLFI, mounting a local directory for persistence and entering the container's bash shell.

```bash
$ mkdir logparser
$ docker run --name logparser_py3 -it -v logparser:/logparser logpai/logparser:py3 bash
```

--------------------------------

### Run Benchmark

Source: https://github.com/logpai/logparser/blob/main/logparser/DivLog/README.md

Executes the DivLog benchmark by replacing 'sk-xxx' with your OpenAI API Key.

```bash
python benchmark.py -key sk-xxx
```

--------------------------------

### Docker Images

Source: https://github.com/logpai/logparser/blob/main/logparser/Brain/README.md

Pull and run the Docker image for Brain.

```bash
1. docker pull docker.io/gaiusyu/brain:v2
2. docker run -it --name brain gaiusyu/brain:v2
```

--------------------------------

### Run Drain Demo

Source: https://github.com/logpai/logparser/blob/main/README.md

Navigate to the Drain parser directory and run the demo script.

```bash
cd logparser/Drain
python demo.py
```

--------------------------------

### Replace API Request for Chat Completion

Source: https://github.com/logpai/logparser/blob/main/logparser/DivLog/README.md

Example of replacing the original API request design for GPT-3 models with the latest Chat Completion API.

```python
### Replace it
response = openai.Completion.create(
                                    model=model, 
                                    prompt=instruction + "\n\n\n" + prompt + "<prompt>:":" + line.strip() + "\n<extraction>: ", 
                                    temperature=temperature,
                                    max_tokens=token_len)
```

--------------------------------

### Run Demo

Source: https://github.com/logpai/logparser/blob/main/logparser/AEL/README.md

Scripts to run the AEL demo.

```bash
python demo.py
```