tesla_dashboard_backend | simple python backend to pull data
kandi X-RAY | tesla_dashboard_backend Summary
kandi X-RAY | tesla_dashboard_backend Summary
tesla_dashboard_backend is a Python library typically used in Manufacturing, Utilities, Automotive applications. tesla_dashboard_backend has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However tesla_dashboard_backend build file is not available. You can download it from GitHub.
A simple python backend to pull data periodically from the Tesla API into your own ELK stack. Avoids battery drain by having the correct timing to allow the car to go to sleep properly. Note: The start of a drive may be missed by a few minutes. Feel free to play with the sleep intervals.
A simple python backend to pull data periodically from the Tesla API into your own ELK stack. Avoids battery drain by having the correct timing to allow the car to go to sleep properly. Note: The start of a drive may be missed by a few minutes. Feel free to play with the sleep intervals.
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Support
tesla_dashboard_backend has a low active ecosystem.
It has 14 star(s) with 2 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
tesla_dashboard_backend has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of tesla_dashboard_backend is current.
Quality
tesla_dashboard_backend has 0 bugs and 0 code smells.
Security
tesla_dashboard_backend has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
tesla_dashboard_backend code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
tesla_dashboard_backend is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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tesla_dashboard_backend releases are not available. You will need to build from source code and install.
tesla_dashboard_backend has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of tesla_dashboard_backend
tesla_dashboard_backend Key Features
No Key Features are available at this moment for tesla_dashboard_backend.
tesla_dashboard_backend Examples and Code Snippets
No Code Snippets are available at this moment for tesla_dashboard_backend.
Community Discussions
No Community Discussions are available at this moment for tesla_dashboard_backend.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tesla_dashboard_backend
First edit tesla_fetch.py with your credentials (tesla email and password). Change Elasticsearch endpoint URI as needed (right now it's assumed that ES runs locally). If you want to visualize the data, use kibana, grafana, or something similar. Grafana has better map support. To get a map that shows a heatmap of the recent locations, make sure you use the "top hit" aggregation because that lets you sort by timestamp and show only the most recent ones, matching your current time interval settings. So if you want just a dot with the current position, set the time selection to the last minute and that should do the trick. Or set it to a larger timespan and enjoy the lovely heatmap.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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