Windows 10 Professional
WSL2 (Ubuntu22.04 LTS)
docker version 23.0.5
Docker Compose version v2.17.3

GitLab
gitlab-runner latest

services:
  gitlab:
    build: ./gitlab
    hostname: 'gitlab.example.com'
    environment:
      GITLAB_OMNIBUS_CONFIG:
        external_url 'http://gitlab.example.com/'
    volumes:
      - '$GITLAB_HOME/config:/etc/gitlab'
      - '$GITLAB_HOME/logs:/var/log/gitlab'
      - '$GITLAB_HOME/data:/var/opt/gitlab'
    ports:
      - '80:80'
      - '443:443'
      - '22:22'
    shm_size: '256m'
    restart: unless-stopped
  runner:
    image: 'gitlab/gitlab-runner:latest'
    restart: always
    volumes:
      - ./srv/gitlab-runner/config:/etc/gitlab-runner
      - /var/run/docker.sock:/var/run/docker.sock
    ports:
      - "8093:8093"
    links:
      - "gitlab:gitlab.example.com"

docker compose exec runner bash

root@1ce083816d04:/# gitlab-runner register

root@5e286da6b99a:/# gitlab-runner register
Runtime platform                                    arch=amd64 os=linux pid=40 revision=85586bd1 version=16.0.2
Running in system-mode.                            
                                                   
Enter the GitLab instance URL (for example, https://gitlab.com/):
http://192.168.0.20/
Enter the registration token:
glrt-ctnzpdPRws3J43rsgP-7
Verifying runner... is valid                        runner=ctnzpdPRw
Enter a name for the runner. This is stored only in the local config.toml file:
[5e286da6b99a]: mr-review
Enter an executor: shell, virtualbox, docker+machine, instance, kubernetes, custom, docker, ssh, docker-autoscaler, docker-windows, parallels:
docker
Enter the default Docker image (for example, ruby:2.7):
python:3.11.4-buster
Runner registered successfully. Feel free to start it, but if it's running already the config should be automatically reloaded!
 
Configuration (with the authentication token) was saved in "/etc/gitlab-runner/config.toml" 
root@5e286da6b99a:/# 

[[runners]]
  name = "mr-review"
  url = "http://192.168.0.20/"
+ clone_url = "http://192.168.0.20/"
  id = 4
  token = "glrt-ctnzpdPRws3J43rsgP-7"
  token_obtained_at = 2023-08-05T05:18:41Z
  token_expires_at = 0001-01-01T00:00:00Z
  executor = "docker"
  [runners.cache]
    MaxUploadedArchiveSize = 0
  [runners.docker]
    tls_verify = false
    image = "python:3.11.4-buster"
    privileged = false
    disable_entrypoint_overwrite = false
    oom_kill_disable = false
    disable_cache = false
    volumes = ["/cache"]
    shm_size = 0

before_script:
  - python -V
  - pip install virtualenv
  - virtualenv venv
  - source venv/bin/activate

build:
  script:
    - echo Hello,World

mr-review-gpt:
  stage: test
  script:
    - pip install -r requirements.txt
    - python mr_review.py
  rules:
    - if: '$CI_PIPELINE_SOURCE == "merge_request_event"'
  # - if: $CI_MERGE_REQUEST_ID 
  # (https://gitlab-docs.creationline.com/ee/ci/parent_child_pipelines.html) でもOK

requests
openai

import openai
import requests
import os

# GitLabのURL、アクセストークン、プロジェクトID、マージリクエストのIIDを指定します
gitlab_url = 'http://192.168.0.20'
access_token = os.environ.get('PERSONAL_ACCESS_TOKEN')
project_id = os.environ.get('CI_PROJECT_ID')
merge_request_iid = os.environ.get('CI_MERGE_REQUEST_IID')

# OpenAIのAPI_KEYとModelを指定します
openai.api_key = os.environ.get('OPENAI_API_KEY')
model = 'gpt-3.5-turbo'

# リクエストヘッダーにアクセストークンを設定します
headers = {'PRIVATE-TOKEN': access_token}

# マージリクエストの変更内容を取得するAPIエンドポイントを構築します
gitlab_api_url = f'{gitlab_url}/api/v4/projects/{project_id}/merge_requests/{merge_request_iid}/changes'

# APIリクエストを送信してマージリクエストの変更内容を取得します
mr_changes_response = requests.get(gitlab_api_url, headers=headers)

# レスポンスのJSONデータから変更内容を抽出します
mr_changes_data  = mr_changes_response.json()

code_changes = mr_changes_data['changes']

print(code_changes)

response = openai.ChatCompletion.create(
        model=model,
        messages = [
          {"role": "system", "content": "あなたはプログラミングのスペシャリストでコードレビューをするアシスタントです。"},
          {"role": "user", "content":f"次のコード変更を分析し、修正が必要な問題がある場合は見つけます。 コードの変更は git diff 表記で行われ、- で始まる行が削除され、+ で始まる行が追加されます。" +
                 f": {code_changes}",
          }
        ],
        max_tokens=2000,
)

analysis = f"This comment is auto generated by OpenAI {model} : {response['choices'][0]['message']['content']} "

print(analysis)
# Make comment on merge request with the analysis
comment_url = f"{gitlab_url}/api/v4/projects/{project_id}/merge_requests/{merge_request_iid}/discussions"
comment_data = {
    "body": analysis
}
comment_response = requests.post(comment_url, headers=headers, data=comment_data)

print(comment_response)

def fibonacci(n):
    if n <= 0:
        return []
    elif n == 1:
        return [0]
    elif n == 2:
        return [0, 1]
    else:
        fib_sequence = [0, 1]
        for i in range(2, n):
            next_fib = fib_sequence[i-1] + fib_sequence[i-2]
            fib_sequence.append(next_fib)
        return fib_sequence

# フィボナッチ数列の長さを指定して計算
length = int(input("フィボナッチ数列の長さを入力してください: "))
sequence = fibonacci(length)
print(sequence)