Pegar dados das telemétricas (ANA)

[wasf84]

Tem alguma ideia de implementar essa possibilidade na biblioteca?

Obg.

edit: perdão, acabou saindo com a tag "bug", mas é apenas um questionamento/ideia.

[wallissoncarvalho]

Esta implementado na versão atual do github. Ainda não subi como release da biblioteca. Irei fazer alguns testes e subir a versão.

[wasf84]

Olá Wallisson.
Eu peguei o código atual no GitHub e quando tento pegar os dados de telemétricas, está retornando este erro

{
	"name": "ValueError",
	"message": "unconverted data remains when parsing with format \"%Y-%m-%d %H:%M:%S\": \" \", at position 0. You might want to try:
    - passing `format` if your strings have a consistent format;
    - passing `format='ISO8601'` if your strings are all ISO8601 but not necessarily in exactly the same format;
    - passing `format='mixed'`, and the format will be inferred for each element individually. You might want to use `dayfirst` alongside this.",
	"stack": "---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[10], line 1
----> 1 est = hbr.get_data.ANA.telemetric('56425000', threads=50)
      2 est

File ~/bin/miniconda/envs/dissertacao_py39/lib/python3.9/site-packages/hydrobr-0.1.1-py3.9.egg/hydrobr/get_data.py:393, in ANA.telemetric(station_code, threads)
    391 iteration = [(start_date, end_date) for start_date, end_date in zip(start_dates, end_dates)]
    392 with ThreadPool(threads) as pool:
--> 393     responses = list(tqdm(pool.imap(__call_request, iteration), total=len(iteration)))
    394 responses = [response for response in responses if not response.empty]
    395 if len(responses) == 0:

File ~/bin/miniconda/envs/dissertacao_py39/lib/python3.9/site-packages/tqdm/std.py:1181, in tqdm.__iter__(self)
   1178 time = self._time
   1180 try:
-> 1181     for obj in iterable:
   1182         yield obj
   1183         # Update and possibly print the progressbar.
   1184         # Note: does not call self.update(1) for speed optimisation.

File ~/bin/miniconda/envs/dissertacao_py39/lib/python3.9/multiprocessing/pool.py:870, in IMapIterator.next(self, timeout)
    868 if success:
    869     return value
--> 870 raise value

File ~/bin/miniconda/envs/dissertacao_py39/lib/python3.9/multiprocessing/pool.py:125, in worker(inqueue, outqueue, initializer, initargs, maxtasks, wrap_exception)
    123 job, i, func, args, kwds = task
    124 try:
--> 125     result = (True, func(*args, **kwds))
    126 except Exception as e:
    127     if wrap_exception and func is not _helper_reraises_exception:

File ~/bin/miniconda/envs/dissertacao_py39/lib/python3.9/site-packages/hydrobr-0.1.1-py3.9.egg/hydrobr/get_data.py:381, in ANA.telemetric.<locals>.__call_request(date)
    379 date, prec, stage, flow = [], [], [], []
    380 for data in root.iter('DadosHidrometereologicos'):
--> 381     date.append(pd.to_datetime(data.find('DataHora').text, format=\"%Y-%m-%d %H:%M:%S\"))
    382     prec.append(data.find('Chuva').text)
    383     stage.append(data.find('Nivel').text)

File ~/bin/miniconda/envs/dissertacao_py39/lib/python3.9/site-packages/pandas/core/tools/datetimes.py:1146, in to_datetime(arg, errors, dayfirst, yearfirst, utc, format, exact, unit, infer_datetime_format, origin, cache)
   1144         result = convert_listlike(argc, format)
   1145 else:
-> 1146     result = convert_listlike(np.array([arg]), format)[0]
   1147     if isinstance(arg, bool) and isinstance(result, np.bool_):
   1148         result = bool(result)  # TODO: avoid this kludge.

File ~/bin/miniconda/envs/dissertacao_py39/lib/python3.9/site-packages/pandas/core/tools/datetimes.py:488, in _convert_listlike_datetimes(arg, format, name, utc, unit, errors, dayfirst, yearfirst, exact)
    486 # `format` could be inferred, or user didn't ask for mixed-format parsing.
    487 if format is not None and format != \"mixed\":
--> 488     return _array_strptime_with_fallback(arg, name, utc, format, exact, errors)
    490 result, tz_parsed = objects_to_datetime64ns(
    491     arg,
    492     dayfirst=dayfirst,
   (...)
    496     allow_object=True,
    497 )
    499 if tz_parsed is not None:
    500     # We can take a shortcut since the datetime64 numpy array
    501     # is in UTC

File ~/bin/miniconda/envs/dissertacao_py39/lib/python3.9/site-packages/pandas/core/tools/datetimes.py:519, in _array_strptime_with_fallback(arg, name, utc, fmt, exact, errors)
    508 def _array_strptime_with_fallback(
    509     arg,
    510     name,
   (...)
    514     errors: str,
    515 ) -> Index:
    516     \"\"\"
    517     Call array_strptime, with fallback behavior depending on 'errors'.
    518     \"\"\"
--> 519     result, timezones = array_strptime(arg, fmt, exact=exact, errors=errors, utc=utc)
    520     if any(tz is not None for tz in timezones):
    521         return _return_parsed_timezone_results(result, timezones, utc, name)

File strptime.pyx:534, in pandas._libs.tslibs.strptime.array_strptime()

File strptime.pyx:359, in pandas._libs.tslibs.strptime.array_strptime()

ValueError: unconverted data remains when parsing with format \"%Y-%m-%d %H:%M:%S\": \" \", at position 0. You might want to try:
    - passing `format` if your strings have a consistent format;
    - passing `format='ISO8601'` if your strings are all ISO8601 but not necessarily in exactly the same format;
    - passing `format='mixed'`, and the format will be inferred for each element individually. You might want to use `dayfirst` alongside this."
}

Eu só executei

est = hbr.get_data.ANA.telemetric('56425000', threads=50)