package with python

4 files changed, 280 insertions, 0 deletions

diff --git a/metchart/aggregator/__init__.py b/metchart/aggregator/__init__.py
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/metchart/aggregator/__init__.py
diff --git a/metchart/aggregator/dwd_icon.py b/metchart/aggregator/dwd_icon.py
new file mode 100755
index 0000000..ed5c149
--- /dev/null
+++ b/metchart/aggregator/dwd_icon.py
@@ -0,0 +1,149 @@
+#!/usr/bin/env python3
+
+import requests
+import datetime
+import pytz
+import requests
+import os
+
+from multiprocessing import cpu_count
+from multiprocessing.pool import ThreadPool
+
+import subprocess
+
+import xarray as xr
+
+from . import misc
+
+BASE='https://opendata.dwd.de/weather/nwp'
+
+def get_current_run():
+    # we allow up to 3h of slack for DWD to upload the latest run
+    tz = pytz.timezone('UTC')
+    now = datetime.datetime.now(datetime.timezone.utc)
+    corrected = now - datetime.timedelta(hours=3)
+
+    run = int(corrected.hour / 6) * 6
+
+    return (f'{run:02d}', corrected.strftime('%Y%m%d'))
+
+def download_url(args):
+    url, dest = args
+    r = requests.get(url)
+    try:
+        with open(dest, 'wb') as f:
+            f.write(r.content)
+        print(f'Downloaded {dest}')
+    except Exception as e:
+        print(f'Failed to download {dest}:\n', e)
+
+def unpack_bz2(dest):
+    res = subprocess.run(['bzip2', '-df', dest])
+    if res.returncode != 0:
+        print(f'There was an error unpacking {dest}:', res.stderr)
+
+def download_dwd_gribs(
+        date, run, target, output, model, steps, model_long,
+        pressure_level_parameters, parameter_caps_in_filename,
+        single_level_parameters, pressure_levels
+):
+    misc.create_output_dir(output)
+
+    to_download = []
+
+    for step in steps:
+        step_str = f'{step:03d}'
+
+        for parameter in pressure_level_parameters:
+            parameter2 = parameter.upper() if parameter_caps_in_filename else parameter
+
+            for level in pressure_levels:
+                filename = f'{model_long}_regular-lat-lon_pressure-level_{date}{run}_{step_str}_{level}_{parameter2}.grib2.bz2'
+                URL = f'{BASE}/{model}/grib/{run}/{parameter}/{filename}'
+
+                to_download.append((URL, os.path.join(output, filename)))
+
+        for parameter in single_level_parameters:
+            parameter2 = parameter.upper() if parameter_caps_in_filename else parameter
+            filename = f'{model_long}_regular-lat-lon_single-level_{date}{run}_{step_str}_{parameter2}.grib2.bz2'
+            URL = f'{BASE}/{model}/grib/{run}/{parameter}/{filename}'
+
+            to_download.append((URL, os.path.join(output, filename)))
+
+
+    for _ in ThreadPool(cpu_count()).imap_unordered(download_url, to_download):
+        pass
+
+    print('Done Downloading. Uncompressing...')
+
+    for _ in ThreadPool(cpu_count()).imap_unordered(unpack_bz2, [dest for _, dest in to_download]):
+        pass
+
+    downloaded_gribs = [dest.removesuffix('.bz2') for _, dest in to_download]
+
+    res = subprocess.run(['grib_copy'] + downloaded_gribs + [target])
+    if res.returncode != 0:
+        print('grib_copy failed with: ', res.stderr)
+
+    res = subprocess.run(['rm', '-f'] + downloaded_gribs)
+    if res.returncode != 0:
+        print('rm failed with: ', res.stderr)
+
+def clean_output_dir(directory, target):
+    to_delete = [f for f  in os.listdir(directory) if os.path.isfile(os.path.join(directory, f))]
+    if target in to_delete:
+        del to_delete[to_delete.index(target)]
+
+    for f in to_delete:
+        os.unlink(os.path.join(directory, f))
+
+def load_data(name, output, description = None, clean = False, force_filename = None, **kwargs):
+    target = force_filename
+
+    if target is None:
+        run, date = get_current_run()
+        filename = f'{name}_{date}_{run}.grib2'
+        target = os.path.join(output, filename)
+
+        if not os.path.exists(target):
+            download_dwd_gribs(date, run, target, output, **kwargs)
+        else:
+            print(f'{target} already exists. Using the cached version.')
+
+        if clean:
+            clean_output_dir(output, filename)
+
+    # we drop heightAboveGround to allow 2m and 10m values to be merged down to one dataset
+    ds = xr.load_dataset(target, engine='cfgrib', drop_variables='heightAboveGround')
+
+    if description is not None:
+        ds.attrs['_description'] = description
+    return ds
+
+
+debug_config = {
+    'output':'dwd_icon-eu',
+    'model':'icon-eu',
+    'model_long':'icon-eu_europe',
+    'clean': True,
+    'parameter_caps_in_filename':True,
+    'pressure_level_parameters': [
+        't',
+        'relhum',
+        'u',
+        'v',
+        'fi',
+        'clc'
+    ],
+    'single_level_parameters': [
+        'pmsl',
+        't_2m',
+        'relhum_2m'
+    ],
+    'pressure_levels':[ 1000, 950, 925, 900, 875, 850, 825, 800, 775, 700, 600, 500, 400, 300, 250, 200, 150, 100 ],
+    'steps':[0, 3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36, 39, 42, 45, 48]
+}
+
+if __name__ == '__main__':
+    load_data('test_icon_eu', **debug_config)
+
diff --git a/metchart/aggregator/misc.py b/metchart/aggregator/misc.py
new file mode 100644
index 0000000..6594d0f
--- /dev/null
+++ b/metchart/aggregator/misc.py
@@ -0,0 +1,23 @@
+import os
+import numpy as np
+import datetime
+
+def np_time_convert(dt64, func=datetime.datetime.utcfromtimestamp):
+    unix_epoch = np.datetime64(0, 's')
+    one_second = np.timedelta64(1, 's')
+    seconds_since_epoch = (dt64 - unix_epoch) / one_second
+
+    return func(seconds_since_epoch)
+
+def np_time_convert_offset(init, step):
+    return np_time_convert(init) + np_time_convert(step, func=lambda x: datetime.timedelta(seconds=x))
+
+def np_time_list_convert_offset(init, steps):
+    return list(map(lambda x: np_time_convert_offset(init, x), steps))
+
+def create_output_dir(path, clear=False):
+    if not os.path.exists(path):
+        os.makedirs(path)
+    elif clear:
+        raise Exception('clear not implemented')
+
diff --git a/metchart/aggregator/wyoming_sounding.py b/metchart/aggregator/wyoming_sounding.py
new file mode 100755
index 0000000..617d462
--- /dev/null
+++ b/metchart/aggregator/wyoming_sounding.py
@@ -0,0 +1,108 @@
+#!/usr/bin/env python3
+import os
+import datetime
+import requests
+
+import csv
+
+import xarray as xr
+
+import numpy as np
+
+from metpy.units import units
+import metpy.calc as mpcalc
+
+from .. import misc
+
+def get_current_run():
+    date=(datetime.date.today() - datetime.timedelta(days = 1)).strftime('%Y-%m-%d')
+    # TODO we also want noon
+    hour='23:00:00'
+    return (hour, date)
+
+def download_wyoming_csv(station, date, hour, target):
+    url=f'http://weather.uwyo.edu/cgi-bin/bufrraob.py?datetime={date}%20{hour}&id={station}&type=TEXT:CSV'
+    result = requests.get(url)
+
+    if result.status_code >= 400:
+        raise Exception('Failed to Download sounding csv!')
+
+    with open(target, 'w') as f:
+        f.write(result.text)
+
+def load_wyoming_csv(filepath, hour, date):
+    p = []
+    T = []
+    Td = []
+    wind_speed = []
+    wind_dir = []
+    r = []
+
+    with open(filepath,'r', newline='') as f:
+        reader = csv.reader(f)
+        next(reader) # Skip header
+        for row in reader:
+            if sum(map(lambda s : len(s.strip()) == 0, row)):
+                # skip any line with empty values
+                continue
+
+            if float(row[3]) in p: # Skip double p entries
+                continue
+
+            p.append(float(row[3]))
+            T.append(float(row[5]))
+            Td.append(float(row[6]))
+            r.append(float(row[8]))
+            wind_speed.append(float(row[12]))
+            wind_dir.append(float(row[11]))
+
+    T = T * units.degC
+    Td = Td * units.degC
+    wind_speed = wind_speed * units.knots
+    wind_dir = wind_dir * units.degrees
+    u, v = mpcalc.wind_components(wind_speed, wind_dir)
+
+    time = np.datetime64(f'{date}T{hour}')
+
+    # recreate the structure a DWD GRIB produces
+    return xr.Dataset(
+        {
+            "t": (["step", "isobaricInhPa"], [T.to(units.kelvin).magnitude]),
+            "td": (["step", "isobaricInhPa"], [Td.to(units.kelvin).magnitude]),
+            "r": (["step", "isobaricInhPa"], [r]),
+            "u": (["step", "isobaricInhPa"], [u.to('m/s').magnitude]),
+            "v": (["step", "isobaricInhPa"], [v.to('m/s').magnitude]),
+        },
+        coords={
+            "isobaricInhPa":  p,
+            "step": [np.timedelta64(0, 'ns')],
+            "valid_time": (['step'], [time]),
+            "time": time,
+        },
+        attrs={
+            "source": "uwyo.edu",
+        }
+    )
+
+def load_data(name, output, station):
+    hour, date = get_current_run()
+    misc.create_output_dir(output)
+
+    target = os.path.join(output, f'{name}_{date}_{hour}.csv')
+
+    if not os.path.exists(target):
+        download_wyoming_csv(station, date, hour, target)
+    else:
+        print(f'{target} alreasy exists. Using the cached version.')
+
+    return load_wyoming_csv(target, hour, date)
+
+config_debug = {
+    'output': 'wyoming_test',
+    'station': '10548'
+}
+
+if __name__ == '__main__':
+    ds = load_data('test_wyoming_sounding', **config_debug)
+    print(ds)
+    print(ds.coords['step'])