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Mayra Pena
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Hot fixes
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docs/how-tos/airflow/initial-setup.md

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![Airflow Settings](./assets/environments_airflow_config.gif)
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### DAGs Sync Configuration
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There are **2 options** to choose from for your DAGs sync - **Git Sync** and **S3 Sync**. Each requires specific information to be provided during configuration. Our recommended default is Git Sync.
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There are **2 options** to choose from for your DAGs sync: **Git Sync** and **S3 Sync**.
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Each requires specific information to be provided during configuration. Our recommended default is Git Sync.
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**Git Sync**
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- **Provider** Select `Git`
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- **Git branch name** The branch airflow will monitor for changes. If you have more than 1 environment (Development and Production), we suggest `airflow_development` for the development environment and `main` for the production environment. Note: You would need to create an `airflow_development` branch in your repo. If only have 1 environment, then the `Git branch name` should be `main`.
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docs/how-tos/airflow/run-fivetran-sync-jobs.md

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```
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### Fields reference
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- **extract_and_load_fivetran**: The name of the task group. This can be named whatever you like and will show up in airflow.
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![Extract and Load DAG](assets/extract_load_airflow_dag.png)
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- **tooltip**: The tooltip argument allows you to provide explanatory text or helpful hints about specific elements in the Airflow UI
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- **tasks**: Define all of your tasks within the task group.
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You will need to define two operators: `fivetran_provider.operators.fivetran.FivetranOperator` and `fivetran_provider.sensors.fivetran.FivetranSensor`
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- **example_task_trigger**: Name your trigger task accordingly and define arguments below.
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- **operator**: `fivetran_provider.operators.fivetran.FivetranOperator`
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- **connector_id**: Find in Fivetran UI. Select your desired source. Click into `Setup` and locate the `Fivetran Connector ID`
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![Fivetran Connection ID](assets/fivetran_connector_id.png)
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- **do_xcom_push**: Indicate that the output of the task should be sent to XCom, making it available for other tasks to use.
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- **fivetran_conn_id**: This is the `connection_id` that was configured above in the Fivetran UI as seen [above](#id=fivetran-connection).
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- **example_task_sensor**: Name your Sensor task accordingly and define arguments below.

docs/how-tos/dbt/advenced-dbt-debug.md

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```
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When the `debug()` macro is hit:
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1. Execution pauses
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2. Debugger opens
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3. You can inspect variables and other state

docs/how-tos/vscode/datacoves-copilot/llm-config.md

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# Configure your LLM in Datacoves
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>[!NOTE] We currently only support the 4o model gpt model.
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### Step 1: Create a Datacoves Secret
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Creating a [Datacoves Secret](/how-tos/datacoves/how_to_secrets.md) requires some key fields to be filled out:
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- **Description:** Provide a simple description such as: `Open AI config`
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- **Format:** Select `Raw JSON`
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- **Value**: The value will vary based on the LLM you are utilizing.
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>[!NOTE] We currently only support the 4o model gpt model.
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- **Open AI:** You only need your API key. Head to [Open AI](https://platform.openai.com/api-keys) to create your key.
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```json
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{
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"AZURE_OPENAI_API_KEY" : "Your key here"
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}
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```
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- **Scope:** Select the desired scope, either `Project` or `Environment`.
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- **Project/Environment:** Select the `Project` or `Environment` that will access this LLM.
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docs/reference/admin-menu/integrations.md

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Integrations are used to configure external services such as Email, MS Teams and Slack notifications
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For more information see:
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- SMTP: used to [send email notifications from Airflow](/how-tos/airflow/send-emails.md)
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- MS Teams: used to [send Microsoft Teams messages from Airflow](/how-tos/airflow/send-ms-teams-notifications.md)
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- Slack: used to [send Slack messages from Airflow](/how-tos/airflow/send-slack-notifications.md)

docs/reference/admin-menu/secrets.md

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Secrets are used to manage confidential information that are used by tools running in VSCode, or services like Airflow.
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Some uses could be:
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- Storing Airbyte connections credentials using `dbt-coves extract` and `dbt-coves load` commands.
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- Storing Airflow connections or variables used by Airflow DAGs
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