DinoAI Coplot

DinoAI Copilot provides real-time, context-aware support to enhance your dbt™ development workflow. Whether you’re optimizing model performance, troubleshooting data transformations, or implementing incremental models, Copilot helps—without disrupting your focus.

Commands Overview

Command Name	Syntax	Use Case
Create a dbt™ Model	/model	Create new models with proper structure and logic
Explain a dbt™ Model	/explain	Understand existing models and their purpose
Debug a dbt™ Model	/fix	Identify and resolve errors in your models
Generate Tests for a dbt™ Model	/test	Create standard dbt™ tests for your models
Generate Elementary Tests for a dbt™ Model	/test_elementary	Create Elementary-specific model tests
Generate Mermaid Diagram For a dbt™ Model	/mermaid	Visualize model relationships
Convert SQL to dbt™ model	/sql_to_dbt	Convert existing SQL into dbt™ models

---

Asking Questions

Copilot can assist with any dbt™ development inquiry. Common questions include:

• "How can I optimize the performance of my dbt models?"

• "What's the best way to handle data quality issues?"

• "Can you suggest a pattern for implementing incremental models?

How to Use:

1. Click the DinoAI icon (🪄) in the left panel.

2. Type your question in the prompt.

---

Create a dbt™ model

DinoAI generates dbt™ models based on your prompts, tailored to your project’s structure.

How to Use

1. Open DinoAI: Click the DinoAI icon (🪄) in the left panel.

2. Access the "Create Model" Feature:

   • Select the "One Click" command: "Create a dbt model"

   • Or type /model in the prompt.

3. Describe Your Model

Example Prompt

/model Create a dbt model named int_nba_player_info 
that joins all columns from nba_player_info with the 
salary and season columns from nba_player_salaries, 
using the player_id column as the join key. 
Materialize it as a view.

1. Implement the Model:

   • Copy the generated SQL and paste it into your dbt project.

   • Modify as needed and validate using Data Explorer.

---

Explain a dbt™ Model

DinoAI provides detailed explanations of any dbt™ model, including purpose, structure, and key components.

How to Use

1. Right-click a .sql file and select "Explain Model" from the DinoAI dropdown.

2. Alternative: Open DinoAI and type:

/explain @[model_name}

1. Review the Explanation: DinoAI will summarize your model’s purpose and output.

---

Debug a dbt™ Model

DinoAI helps identify and fix errors in your dbt™ models, ensuring a reliable data pipeline.

How to Use

1. Right-click a .sql file and select "Fix Model" from the DinoAI dropdown.

2. Alternative: Open DinoAI and type:

/fix @[model_name]

1. Review and Implement Fixes:

   • Copy the debugged code into your project.

   • Use Data Explorer to validate the fixes.

---

Generate Tests For a dbt™ Model

DinoAI can automatically generate dbt™ tests to maintain data integrity and consistency.

Generating TestsGenerating Elementary Tests

How to Use

1. Right-click a .sql file and select "Generate Tests".

2. Alternative: Open DinoAI and type:

   /test @[model_name]

3. Implement the Test:

   • Copy the test code into your schema.yml file.

   • Run dbt test to validate.

---

Generate Mermaid diagram for a dbt™ Model

DinoAI can create entity relationship diagrams (ERDs) using Mermaid.js, helping you visualize model dependencies.

How to Use:

1. Right-click a .sql file and select "Generate Mermaid Diagram".

2. Alternative: Open DinoAI and type:

   /mermaid @[model_name]

3. Implement the Diagram:

   • Copy the Mermaid code into a .mmd file.

   • Upload it to Paradime Editor and click the 👀 eye icon to view it.

---

Convert SQL to dbt™ model

DinoAI can convert raw SQL queries into dbt™ models, saving development time.

How to Use:

1. Right-click a .sql file with raw SQL and select "Convert SQL to dbt model".

2. Alternative: Open DinoAI and type:

   /sql_to_dbt @[model_name]

3. Implement the Model:

   • Copy the generated dbt model SQL and modify as needed.

---

Additional DinoAI Features

DinoAI extends beyond the Copilot to enhance your entire dbt™ workflow:

• 📜 Version Control – AI-generated commit messages & version control workflows.
• 📖 Data Documentation – AI-powered data catalog and model documentation.
• 🚀 Production Pipelines – Intelligent run analysis and troubleshooting in Bolt.
• ⚙️ Custom Rules – Configure DinoAI behavior via the .dinorules file.