Python client to retrieve data provided by DWD via their geoserver WFS API
The DWD (Deutscher Wetterdienst) publishes various weather information for Germany. The data is published via their Geoserver. For a more information have a look here and here.
pip install dwdwfsapi
The WFS API currently consists of three modules. One for retrieving the current weather warnings, one for retrieving the bio weather forecast and one for retrieving the pollen flight forecast.
Python code
from dwdwfsapi import DwdWeatherWarningsAPI
dwd = DwdWeatherWarningsAPI('813073088')
if dwd.data_valid:
print(f"Warncell id: {dwd.warncell_id}")
print(f"Warncell name: {dwd.warncell_name}")
print(f"Number of current warnings: {len(dwd.current_warnings)}")
print(f"Current warning level: {dwd.current_warning_level}")
print(f"Number of expected warnings: {len(dwd.expected_warnings)}")
print(f"Expected warning level: {dwd.expected_warning_level}")
print(f"Last update: {dwd.last_update}")
print('-----------')
for warning in dwd.current_warnings:
print(warning)
print('-----------')
for warning in dwd.expected_warnings:
print(warning)
print('-----------')
Result (formatted for better readability)
Warncell id: 813073088
Warncell name: Stadt Stralsund
Number of current warnings: 0
Current warning level: 0
Number of expected warnings: 1
Expected warning level: 1
Last update: 2020-04-18 17:57:29.274000+00:00
-----------
{
'start_time': datetime.datetime(2020, 4, 18, 23, 0, tzinfo=datetime.timezone.utc),
'end_time': datetime.datetime(2020, 4, 19, 5, 0, tzinfo=datetime.timezone.utc),
'event': 'FROST',
'event_code': 22,
'headline': 'Amtliche WARNUNG vor FROST',
'description': 'Es tritt leichter Frost um 0 °C auf. In Bodennähe wird leichter Frost bis -4 °C erwartet.',
'instruction': None, 'level': 1,
'parameters':
{
'Lufttemperatur': '~0 [°C]',
'Bodentemperatur': '>-4 [°C]'
},
'color': '#ffff00'
}
-----------
Methods:
__init__(identifier)
Create a new weather warnings API class instance
The identifier
can either be a so called warncell id
(int), a warncell name
(str) or a gps location
(tuple).
It is heavily advised to use warncell id
over warncell name
because the name is not unique in some cases. The
gps location
consists of the latitude and longitude in this order. Keeping this order for the tuple is important for
the query to work correctly.
A list of valid warncell ids and names can be found in warncells.md.
Method update()
is automatically called at the end of a successfull init.
update()
Update data by querying DWD server and parsing result
Function should be called regularly, e.g. every 15minutes, to update the data stored in the class attributes.
Attributes (read only):
data_valid : bool
A flag wether or not the other attributes contain valid values
warncell_id : int
The id of the selected warncell
warncell_name : str
The name of the selected warncell
If the name is not unique " (not unique use ID!)"
will be added to the name
last_update : datetime
Timestamp of the last update
current_warning_level : int
Highest currently active warning level
Range: 0 (=no warning) to 4 (=extreme weather)
current_warnings : list of dicts
Dictionary containing all currently active warnings ("Wetterwarnungen", urgency="immediate")
See section warning dictionary for more details
expected_warning_level : int
Highest expected warning level
Range: 0 (=no warning) to 4 (=extreme weather)
expected_warnings : list of dicts
Dictionary containing all expected warnings ("Vorabinformationen", urgency="future")
See section warning dictionary for more details
Warning dictionary
start_time : datetime
Timestamp when the warning starts
end_time : datetime
Timestamp when the warning ends
event: str
String representation of the warning event
event_code: int
Integer representation of the warning event
headline : str
The official warning headline
description : str
A details warning description
instruction : str
Instructions and safety notices
urgency : str
Warning urgency (either "immediate" or "future")
level : int
Warning level
Range: 0 (=no warning) to 4 (=extreme weather)
parameters : dict
Dictionary containing warning specific parameters
color : str
Warning color formatted #rrggbb
Python code
from dwdwfsapi import DwdBioWeatherAPI
dwd = DwdBioWeatherAPI(8)
if dwd.data_valid:
for k, v in dwd.forecast_data.items():
print(f"{k} - {v['name']}")
for entry in v["forecast"]:
print(f"\t{entry['start_time']} : {entry['color']} - {entry['level']} = {entry['impact']}")
Result
1 - allgemeine Befindensbeeinträchtigungen
2024-03-15 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-15 12:00:00+00:00 : #37ba29 - 1 = kein Einfluss
2024-03-16 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-16 12:00:00+00:00 : #006eff - 0 = positiver Einfluss
2024-03-17 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-17 12:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2 - Asthma
2024-03-15 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-15 12:00:00+00:00 : #37ba29 - 1 = kein Einfluss
2024-03-16 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-16 12:00:00+00:00 : #37ba29 - 1 = kein Einfluss
2024-03-17 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-17 12:00:00+00:00 : #37ba29 - 1 = kein Einfluss
3 - Herz- und Kreislaufgeschehen (hypotone Form)
2024-03-15 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-15 12:00:00+00:00 : #37ba29 - 1 = kein Einfluss
2024-03-16 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-16 12:00:00+00:00 : #37ba29 - 1 = kein Einfluss
2024-03-17 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-17 12:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
4 - Herz- und Kreislaufgeschehen (hypertone Form)
2024-03-15 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-15 12:00:00+00:00 : #37ba29 - 1 = kein Einfluss
2024-03-16 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-16 12:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-17 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-17 12:00:00+00:00 : #37ba29 - 1 = kein Einfluss
5 - rheumatische Beschwerden (degenerativ)
2024-03-15 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-15 12:00:00+00:00 : #37ba29 - 1 = kein Einfluss
2024-03-16 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-16 12:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-17 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-17 12:00:00+00:00 : #37ba29 - 1 = kein Einfluss
6 - rheumatische Beschwerden (entzündlich)
2024-03-15 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-15 12:00:00+00:00 : #37ba29 - 1 = kein Einfluss
2024-03-16 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-16 12:00:00+00:00 : #37ba29 - 1 = kein Einfluss
2024-03-17 00:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
2024-03-17 12:00:00+00:00 : #ffff00 - 2 = geringe Gefährdung
Methods:
__init__(identifier)
Create a new bio weather API class instance
The identifier
can either be a so called cell id
(int) or a cell name
(str).
It is heavily advised to use cell id
over cell name
because the name is not unique in some cases.
A list of valid cell ids and names can be found in biocells.md.
Method update()
is automatically called at the end of a successfull init.
update()
Update data by querying DWD server and parsing result
Function should be called regularly, e.g. every 12hours, to update the data stored in the class attributes.
Attributes (read only):
data_valid : bool
A flag wether or not the other attributes contain valid values
cell_id : int
The id of the selected cell
cell_name : str
The name of the selected ncell
If the name is not unique " (not unique use ID!)"
will be added to the name
last_update : datetime
Timestamp of the last update
forecast_data : dict
Dictionary containing all forecast data
See section forecast data dictionary for more details
Forecast data dictionary
key : int
Data type
name : str
String representation of the data type
forecast : list of dicts
List containing the forecast data
See section forecast dictionary for more details
Forecast dictionary
start_time : datetime
Timestamp when the forecast starts
level : int
Impact level (0 - 3)
impact : str
String representation of the impact level
color : str
Forecast color formatted #rrggbb
Python code
from dwdwfsapi import DwdPollenFlightAPI
dwd = DwdPollenFlightAPI(41)
if dwd.data_valid:
for k, v in dwd.forecast_data.items():
print(f"{k} - {v['name']}")
for entry in v["forecast"]:
print(f"\t{entry['start_time']} : {entry['color']} - {entry['level']} = {entry['impact']}")
Result
1 - Hasel
2024-03-15 00:00:00+00:00 : #ffffff - 0 = keine
2024-03-16 00:00:00+00:00 : #ffffff - 0 = keine
2024-03-17 00:00:00+00:00 : #ffffff - 0 = keine
2 - Erle
2024-03-15 00:00:00+00:00 : #fee391 - 2 = gering
2024-03-16 00:00:00+00:00 : #fee391 - 3 = gering bis mittel
2024-03-17 00:00:00+00:00 : #fee391 - 3 = gering bis mittel
8 - Esche
2024-03-15 00:00:00+00:00 : #fee391 - 2 = gering
2024-03-16 00:00:00+00:00 : #fee391 - 2 = gering
2024-03-17 00:00:00+00:00 : #fee391 - 3 = gering bis mittel
3 - Birke
2024-03-15 00:00:00+00:00 : #ffffff - 0 = keine
2024-03-16 00:00:00+00:00 : #ffffff - 0 = keine
2024-03-17 00:00:00+00:00 : #ffffff - 2 = gering
4 - Gräser
2024-03-15 00:00:00+00:00 : #ffffff - 0 = keine
2024-03-16 00:00:00+00:00 : #ffffff - 0 = keine
2024-03-17 00:00:00+00:00 : #ffffff - 0 = keine
5 - Roggen
2024-03-15 00:00:00+00:00 : #ffffff - 0 = keine
2024-03-16 00:00:00+00:00 : #ffffff - 0 = keine
2024-03-17 00:00:00+00:00 : #ffffff - 0 = keine
6 - Beifuß
2024-03-15 00:00:00+00:00 : #ffffff - 0 = keine
2024-03-16 00:00:00+00:00 : #ffffff - 0 = keine
2024-03-17 00:00:00+00:00 : #ffffff - 0 = keine
7 - Ambrosia
2024-03-15 00:00:00+00:00 : #ffffff - 0 = keine
2024-03-16 00:00:00+00:00 : #ffffff - 0 = keine
2024-03-17 00:00:00+00:00 : #ffffff - 0 = keine
Methods:
__init__(identifier)
Create a new pollen flight API class instance
The identifier
can either be a so called cell id
(int) or a cell name
(str).
It is heavily advised to use cell id
over cell name
because the name is not unique in some cases.
A list of valid cell ids and names can be found in pollencells.md.
Method update()
is automatically called at the end of a successfull init.
update()
Update data by querying DWD server and parsing result
Function should be called regularly, e.g. every 12hours, to update the data stored in the class attributes.
Attributes (read only):
data_valid : bool
A flag wether or not the other attributes contain valid values
cell_id : int
The id of the selected cell
cell_name : str
The name of the selected ncell
If the name is not unique " (not unique use ID!)"
will be added to the name
last_update : datetime
Timestamp of the last update
forecast_data : dict
Dictionary containing all forecast data
See section forecast data dictionary for more details
Forecast data dictionary
key : int
Data type
name : str
String representation of the data type
forecast : list of dicts
List containing the forecast data
See section forecast dictionary for more details
Forecast dictionary
start_time : datetime
Timestamp when the forecast starts
level : int
Impact level (0 - 6)
impact : str
String representation of the impact level
color : str
Forecast color formatted #rrggbb