Source code for jwql.tests.test_readnoise_monitor

#! /usr/bin/env python

"""Tests for the ``readnoise_monitor`` module.

Authors
-------

    - Ben Sunnquist

Use
---

    These tests can be run via the command line (omit the ``-s`` to
    suppress verbose output to stdout):
    ::

        pytest -s test_readnoise_monitor.py
"""

from collections import OrderedDict
import os
import pytest

import numpy as np

from jwql.database.database_interface import NIRCamReadnoiseQueryHistory, NIRCamReadnoiseStats
from jwql.instrument_monitors.common_monitors import readnoise_monitor
from jwql.utils.utils import get_config


ON_GITHUB_ACTIONS = '/home/runner' in os.path.expanduser('~') or '/Users/runner' in os.path.expanduser('~')


[docs]def test_determine_pipeline_steps(): """Test the correct pipeline steps are called""" monitor = readnoise_monitor.Readnoise() monitor.instrument = 'NIRCAM' monitor.read_pattern = 'RAPID' # Create dictionary of expected pipeline steps pipeline_steps_truth = OrderedDict([('group_scale', False), ('dq_init', True), ('superbias', True), ('refpix', True)]) # Find the necessary pipeline steps using the readnoise monitor pipeline_steps = monitor.determine_pipeline_steps() assert pipeline_steps == pipeline_steps_truth
[docs]def test_get_amp_stats(): """Test amp stat calculations""" monitor = readnoise_monitor.Readnoise() # Create test data and its corresponding amp stats data = np.zeros((100, 100)) amps = {'1': [(0, 100, 1), (0, 100, 1)]} amp_stats_truth = {'amp1_mean': 0.0, 'amp1_stddev': 0.0, 'amp1_n': np.array([10000]), 'amp1_bin_centers': np.array([0.0])} # Find the amp stats using the readnoise monitor amp_stats = monitor.get_amp_stats(data, amps) assert amp_stats == amp_stats_truth
[docs]@pytest.mark.skipif(ON_GITHUB_ACTIONS, reason='Requires access to central storage.') def test_get_metadata(): """Test retrieval of metadata from input file""" monitor = readnoise_monitor.Readnoise() filename = os.path.join(get_config()['test_dir'], 'readnoise_monitor', 'test_image_1.fits') monitor.get_metadata(filename) assert monitor.detector == 'NRCA1' assert monitor.read_pattern == 'BRIGHT1' assert monitor.subarray == 'FULL' assert monitor.nints == 3 assert monitor.ngroups == 4 assert monitor.substrt1 == 1 assert monitor.substrt2 == 1 assert monitor.subsize1 == 2048 assert monitor.subsize2 == 2048 assert monitor.date_obs == '2016-01-18' assert monitor.time_obs == '04:35:14.523' assert monitor.expstart == '2016-01-18T04:35:14.523'
[docs]def test_identify_tables(): """Be sure the correct database tables are identified""" monitor = readnoise_monitor.Readnoise() monitor.instrument = 'nircam' monitor.identify_tables() assert monitor.query_table == eval('NIRCamReadnoiseQueryHistory') assert monitor.stats_table == eval('NIRCamReadnoiseStats')
[docs]def test_make_readnoise_image(): """Test readnoise image creation""" monitor = readnoise_monitor.Readnoise() # Create test data and its corresponding readnoise data = np.arange(200).reshape(1, 8, 5, 5) readnoise_truth = np.zeros((5, 5)) # Find the readnoise in the test data using the readnoise monitor readnoise = monitor.make_readnoise_image(data) assert np.all(readnoise == readnoise_truth)
[docs]def test_make_histogram(): """Test histogram creation""" monitor = readnoise_monitor.Readnoise() # Create test data and its corresponding histogram stats data = np.zeros((100, 100)) counts_truth = [10000] bin_centers_truth = [0.0] # Find the histogram stats of the test data using the readnoise monitor counts, bin_centers = monitor.make_histogram(data) counts, bin_centers = list(counts), list(bin_centers) assert counts == counts_truth assert bin_centers == bin_centers_truth