ecallisto-ng 0.2.2

A Python package for the fetching (and some processing) of eCallisto data via the eCallisto API.

Ecallisto NG

Ecallisto NG is a compact yet effective Python package designed to facilitate seamless interaction with the Ecallisto API. The package is constructed in Python 3.9 and utilizes the requests library to directly access the Ecallisto API via the link: https://v000792.fhnw.ch/api/redoc.

Installation

To install this package, clone this repository and use pip for installation. Execute the following command in your terminal: pip install -e .

PyPI

Ecallisto NG is conveniently available on PyPI as well. To download, visit the following link: https://pypi.org/project/ecallisto-ng/

Example

Please have a look at the jupyter notebook under example.

Usage

Here's a guide on how to use the different features of Ecallisto NG:

Data Fetching

Fetching data is easy using the get_data function, housed under the ecallisto_ng.data_fetching.get_data module. Here's an example:

from ecallisto_ng.data_fetching.get_data import get_data

parameters = {
    "instrument_name": "austria_unigraz_01",
    "start_datetime": "2021-03-01 06:30:00",
    "end_datetime": "2021-03-07 23:30:00",
    "timebucket": "15m",
    "agg_function": "MAX",
}

df = get_data(**parameters)

Getting Data Availability

You can also check the availability of data using the get_tables and get_table_names_with_data_between_dates function, housed under the ecallisto_ng.data_fetching.get_information module. Here's an example:

from ecallisto_ng.data_fetching.get_information import get_tables, get_table_names_with_data_between_dates
from datetime import datetime, timedelta

get_tables()[:5]

get_table_names_with_data_between_dates(
    start_datetime=(datetime.now() - timedelta(hours=24)).strftime("%Y-%m-%d %H:%M:%S"),
    end_datetime=datetime.now().strftime("%Y-%m-%d %H:%M:%S")
)

Plotting

Ecallisto NG provides basic plotting capabilities. Here's an example of how to generate a spectogram:

from ecallisto_ng.plotting.utils import fill_missing_timesteps_with_nan, plot_spectogram

df_filled = fill_missing_timesteps_with_nan(df)
plot_spectogram(df_filled,  parameters["instrument_name"], parameters["start_datetime"], parameters["end_datetime"])

Spectogram editing

We also provide some basic functionalities to edit the spectogram. Here's how you can do it:

from ecallisto_ng.data_processing.utils import elimwrongchannels, subtract_constant_background, subtract_rolling_background

df = elimwrongchannels(df)
df = fill_missing_timesteps_with_nan(df)
df = subtract_constant_background(df)
df = subtract_rolling_background(df)

plot_spectogram(df,  parameters["instrument_name"], parameters["start_datetime"], parameters["end_datetime"])

These simple commands allow you to easily manipulate spectogram data, enabling effective use of the Ecallisto API for your needs. Be careful when using elimwrongchannels after fill_missing_timesteps_with_nan.