key word arguments in get_timeseries_from_db

[SimonRubenDrauz]

• pandahub version: 0.2.3
• Python version: 3.8
• Operating System: Windows

Description

If you call the function get_timeseries_from_db, you can also pass additional key word arguments which are automatically added to the filter_document dict. I think this might be a bit confusing. If a user sets a filter_document dict why should he/she additionally pass key word arguments? Therefore, I would remove kwargs here.

Why I stumbled above this problem: I wrote compress_ts_data (same as in write_timeseries_to_db) instead of compressed_ts_data. Maybe also rethink its name, as this can easily happen as new user. A consistent name would help here maybe. What happened then was, that compress_ts_data moved to the filter document dict causing that I ran into a pandahub error.

What I Did

Traceback (most recent call last):
File "C:\Users\sdrauz\anaconda3\envs\pandahub\lib\site-packages\IPython\core\interactiveshell.py", line 3397, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "", line 155, in <cell line: 142>
ts = ph.get_timeseries_from_db(filter_document={'data_type':"p_mw"},
File "C:\Users\sdrauz\git\pandahub\pandahub\lib\PandaHub.py", line 1278, in get_timeseries_from_db
raise PandaHubError("no documents matching the provided filter found", 404)
pandahub.lib.PandaHub.PandaHubError: no documents matching the provided filter found