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1. In src/main.py, set switch_production_or_test to test to configure the environment for testing purposes.

2. Place the project within the directory src/dataset/agent-v1-c4. This structure is critical for the tool to locate and interact with the data correctly.

3. Refer to the configuration file at src/dataset/agent-v1-c4/datasets.json for guidance on setting up your datasets. Once configured, you can execute main.py to begin the scanning process.

Configure your environment by creating a .env file with the following contents:

• DATABASE_URL=postgresql://postgres:[email protected]:5432/postgres

  • This is your database connection string, which the tool will use to store and retrieve data. Ensure that the details match your PostgreSQL setup.

• OPENAI_API_KEY=sk-xxxxx

  • Replace sk-xxxxx with your actual OpenAI API key. This key enables the tool to interact with OpenAI services for various operations, such as data processing or analysis.

1. 在 src/main.py 文件中，将 switch_production_or_test 设置为 test，以配置环境为测试模式。

2. 将项目放置于 src/dataset/agent-v1-c4 目录下。这一结构对于工具正确定位和与数据交互至关重要。

3. 参照 src/dataset/agent-v1-c4/datasets.json 配置文件来设置你的数据集。配置完成后，运行 main.py 即可开始扫描过程。

通过创建 .env 文件并填写以下内容来配置你的环境：

• DATABASE_URL=postgresql://postgres:[email protected]:5432/postgres

  • 这是你的数据库连接字符串，工具将使用它来存储和检索数据。确保详情与你的 PostgreSQL 设置相匹配。

• OPENAI_API_KEY=sk-xxxxx

  • 将 sk-xxxxx 替换为你的实际 OpenAI API 密钥。这个密钥使工具能够与 OpenAI 服务进行各种操作，如数据处理或分析。