Fool around with data from DWD Climate Data Center.
This does not work out as intended, because I am using JetBrain's PyCharm for development. So either I cannot structure my code properly, or I will have to do without PyCharm autocomplete fuctionality. So I will need to choose a structure that is supported by both Python and PyCharm. We will see what I can find out. See you later.
Download and update data from the DWD Climata Data Center into a local database to support future analysis, e.g. from automatic scripts (this repository) or Jupyter notebooks (other repository).
This project is built for Jenkins (or cron) based usage. This means that the content of this repository will periodically be executed from a Jenkins instance or via cron according to the following pattern:
- clone repository from GitHub into local workspace or temp directory
- execute sevral scripts programatically
- in the repo root folder
- leaving logs behind
- exit (and optionally remove workspace or temp directory)
We thus develop for an ever refreshed git workspace in an execution environment and not an installable PyPI module or so.
Nachdem die Konfigurationsdatei ~/.dwd-cdc/dwd-cdc angelegt ist,
kann dort ein Abschnitt wie folgt manuell hinzugefügt werden:
[mailgun]
url = https://api.mailgun.net/v3/sandbox12345678901234567890123.mailgun.org/messages
auth-key = key-8674f976bb0w8678a0ds874sjldao787
from = dwd-cdc <[email protected]>
to = Sara Ziner <[email protected]>Wenn diese Konfiguration vorhanden ist, wird nach jedem Programmlauf die Print- und Log-Ausgabe über den
beschriebenen Mailgun-Account an die angegebene to-Adresse geschickt. Weitergehende Konfigurationsmöglichkeiten
werden (vielleicht) später hinzugefügt.
Ein kostenloser mailgun Account ("Flex Trial") ist für die Verwendung hier völlig ausreichend. Man muss allerdings die Empfängeradressen vorher als "authorized recipients" anmelden und diese müssen es auch bestätigen.