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144 lines
4.0 KiB
Markdown
144 lines
4.0 KiB
Markdown
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---
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title: Run the Mode Connector Externally
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slug: /connectors/dashboard/mode/yaml
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---
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{% connectorDetailsHeader
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name="Mode"
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stage="PROD"
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platform="OpenMetadata"
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availableFeatures=["Dashboards", "Charts", "Lineage"]
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unavailableFeatures=["Owners", "Tags", "Datamodels", "Projects"]
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/ %}
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In this section, we provide guides and references to use the Mode connector.
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Configure and schedule Mode metadata and profiler workflows from the OpenMetadata UI:
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- [Requirements](#requirements)
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- [Metadata Ingestion](#metadata-ingestion)
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{% partial file="/v1.5/connectors/external-ingestion-deployment.md" /%}
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## Requirements
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OpenMetadata relies on Mode's API, which is exclusive to members of the Mode Business Workspace. This means that only resources that belong to a Mode Business Workspace can be accessed via the API.
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### Python Requirements
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{% partial file="/v1.5/connectors/python-requirements.md" /%}
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To run the Mode ingestion, you will need to install:
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```bash
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pip3 install "openmetadata-ingestion[mode]"
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```
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## Metadata Ingestion
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All connectors are defined as JSON Schemas.
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[Here](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/entity/services/connections/dashboard/modeConnection.json)
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you can find the structure to create a connection to Mode.
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In order to create and run a Metadata Ingestion workflow, we will follow
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the steps to create a YAML configuration able to connect to the source,
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process the Entities if needed, and reach the OpenMetadata server.
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The workflow is modeled around the following
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[JSON Schema](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/metadataIngestion/workflow.json)
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### 1. Define the YAML Config
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This is a sample config for Mode:
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{% codePreview %}
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{% codeInfoContainer %}
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#### Source Configuration - Service Connection
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{% codeInfo srNumber=1 %}
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**hostPort**: Host and Port Mode Dashboard.
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The hostPort parameter specifies the host and port of the Mode server. This should be specified as a string in the format `https://app.mode.com`.
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{% /codeInfo %}
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{% codeInfo srNumber=2 %}
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**accessToken**: Access Token for Mode Dashboard.
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Get the Access Token by following below mentioned steps:
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- Navigate to your Mode homepage.
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- Click on your name in the upper left corner and click My Account.
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- Click on API Tokens on the left side.
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- To generate a new API token and password, enter a token name and click `Create token`.
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- Copy the generated access token and password.
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For detailed information visit [here](https://mode.com/developer/api-reference/introduction/).
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{% /codeInfo %}
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{% codeInfo srNumber=3 %}
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**accessTokenPassword**: Access Token Password for Mode Dashboard.
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Copy the access token password from the step above where a new token is generated.
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For detailed information visit [here](https://mode.com/developer/api-reference/introduction/).
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{% /codeInfo %}
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{% codeInfo srNumber=4 %}
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**workspaceName**: Mode Workspace Name.
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Name of the mode workspace from where the metadata is to be fetched.
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{% /codeInfo %}
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{% partial file="/v1.5/connectors/yaml/dashboard/source-config-def.md" /%}
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{% partial file="/v1.5/connectors/yaml/ingestion-sink-def.md" /%}
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{% partial file="/v1.5/connectors/yaml/workflow-config-def.md" /%}
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{% /codeInfoContainer %}
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{% codeBlock fileName="filename.yaml" %}
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```yaml {% isCodeBlock=true %}
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source:
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type: mode
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serviceName: local_mode
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serviceConnection:
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config:
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type: Mode
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```
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```yaml {% srNumber=1 %}
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hostPort: https://app.mode.com
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```
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```yaml {% srNumber=2 %}
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access_token: access_token
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```
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```yaml {% srNumber=3 %}
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access_token_password: access_token_password
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```
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```yaml {% srNumber=4 %}
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workspace_name: workspace_name
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```
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{% partial file="/v1.5/connectors/yaml/dashboard/source-config.md" /%}
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{% partial file="/v1.5/connectors/yaml/ingestion-sink.md" /%}
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{% partial file="/v1.5/connectors/yaml/workflow-config.md" /%}
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{% /codeBlock %}
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{% /codePreview %}
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{% partial file="/v1.5/connectors/yaml/ingestion-cli.md" /%}
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