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test_module.py
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test_module.py
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# Copyright 2022 AstroLab Software
# Author: Julien Peloton
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pandas as pd
import numpy as np
from mymodule.utils import extract_field
from mymodule.processor import compute_g_slope
if __name__ == "__main__":
""" Execute the test """
# Load data
datapath = 'data/elasticc_test0.parquet'
pdf = pd.read_parquet(datapath)
# Extract history
sub = pdf[['diaSource', 'prvDiaSources']]
pdf['midpointtais'] = sub.apply(
lambda x: extract_field(x, 'midPointTai'), axis=1
)
pdf['psfluxes'] = sub.apply(
lambda x: extract_field(x, 'psFlux'), axis=1
)
pdf['filternames'] = sub.apply(
lambda x: extract_field(x, 'filterName'), axis=1
)
# Apply the science module
slope = compute_g_slope(
pdf['midpointtais'], pdf['filternames'], pdf['psfluxes'], min_hist_length=2
)
# Check valid values
nonzeros = slope[~np.isnan(slope)]
msg = """
--> {}
Number of incoming alerts: {:,}
Number of alerts enriched: {:,}
Statistics (slope for g-band in units of flux per day):
""".format(datapath, len(pdf), len(nonzeros))
print(msg)
print(nonzeros.describe())