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chore: release 3.9.0 🎉 (#102)
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README.md

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This data is also used as an example for the KPI-Calculation and Trend prediction with help of MindSphere APIs. <https://github.com/mindsphere/analytics-examples>
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## Securing API Endpoints
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The corresponding API calls for reading the data source configuration and mappings in Agent Configuration and Agent Information dialog require that the user has:
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```mindconnect.read```
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permission. The automatic configuration requires
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```mindconnect.write```
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permission.
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## Troubleshooting
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If you have problems with your agent:

package-lock.json

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package.json

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"@types/ajv": "^1.0.0",
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"@types/chai": "^4.2.12",
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"@types/mocha": "^8.0.3",
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"@types/node": "^14.6.4",
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"@types/node": "^14.10.0",
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"@types/node-fetch": "^2.5.7",
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"@types/promise.allsettled": "^1.0.3",
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"chai": "^4.2.0",

src/mindconnect.html

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]),
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!1
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);
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if (((p = 0), "string" != typeof n.tenant)) //lgtm [js/useless-assignment-to-local]
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if (((p = 0), "string" != typeof n.tenant)) // lgtm [js/useless-assignment-to-local]
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return (
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(e.errors = [
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{

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