Python client and HTTP service to access bee flight forecast information published by Deutscher Wetterdienst (DWD), the federal meteorological service in Germany.
Readme
####### Apicast #######
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About
Apicast acquires bee flight forecast information published by Deutscher Wetterdienst (DWD).
Hiveeyes » DWD-Prognose Bienenflug_Setup
CLI version::
pip install apicast
HTTP API::
pip install apicast[service]
Synopsis
Display list of states and sites::
apicast beeflight stations
Display list of location slugs::
apicast beeflight stations --slugs
Acquire information for given location slug brandenburg/potsdam::
apicast beeflight forecast --station=brandenburg/potsdam
Acquire information for given location slug brandenburg/potsdam, output as table in Markdown format::
apicast beeflight forecast --station=brandenburg/potsdam --format=table-markdown
Output as table in JSON machine readable format::
apicast beeflight forecast --station=brandenburg/potsdam --format=json-machine
HTTP API
Start HTTP API service::
apicast service
Start HTTP service with dynamic code reloading::
apicast service --reload
Then navigate to::
open http://localhost:24640/
Example
::
apicast beeflight forecast --station=brandenburg/potsdam
::
[
{
"Datum": "Mo 01.06.",
"morgens": "stark",
"mittags": "intensiv",
"abends": "stark"
},
{
"Datum": "Di 02.06.",
"morgens": "stark",
"mittags": "intensiv",
"abends": "intensiv"
},
{
"Datum": "Mi 03.06.",
"morgens": "intensiv",
"mittags": "intensiv",
"abends": "intensiv"
}
]
Tests
::
make test
Content attributions
The copyright of data, particular images and pictograms are held by their respective owners, unless otherwise noted.
Source:
Documentation:
Data copyright: © Deutscher Wetterdienst (DWD), Agricultural Meteorology Department
.. _Hiveeyes » DWD-Prognose Bienenflug: https://community.hiveeyes.org/t/dwd-prognose-bienenflug/787
FAQs
Python client and HTTP service to access bee flight forecast information published by Deutscher Wetterdienst (DWD), the federal meteorological service in Germany.
We found that apicast demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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