103 lines
4.2 KiB
Python
103 lines
4.2 KiB
Python
from snakemake.io import expand
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import os
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import subprocess
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import shutil
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import yaml
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def setUp():
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# This utility setUp is intended to be run once before all tests are run
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# It is intended the set up all the necessary fake data in order to test
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# the rules and scipt files.
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# Load the configuration file to get basic parameters
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with open(r'tests/settings/testing_config.yaml') as file:
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configs = yaml.full_load(file)
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# Get the settings
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pids = configs['PIDS']
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# Reset the test data files
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for pid in pids:
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# Remove old data files if they exist
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despath = os.path.join('data/raw/', pid)
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if os.path.exists(despath) and os.path.isdir(despath):
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shutil.rmtree(despath)
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# Remove old processed files if they exist
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propath = os.path.join('data/processed/', pid)
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if os.path.exists(propath) and os.path.isdir(propath):
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shutil.rmtree(propath)
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# Create a fresh PID data directories necessary for this round of tests
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os.mkdir(despath)
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# Copy necessary data files
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srcpath = os.path.join('tests/data/raw', pid)
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srcfiles = os.listdir(srcpath)
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for srcfile in srcfiles:
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srcfile_path = os.path.join(srcpath, srcfile)
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desfile = os.path.join(despath, srcfile)
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shutil.copy(srcfile_path, desfile)
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return configs
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def generate_file_list(configs, sensor):
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# Generates the list of files that would be produced for one sensor
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# i.e. The sensor passed into the function.
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# Initialize string of file path for both expected and actual metric values
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act_str = "data/processed/features/{pid}/{sensor}_{sensor_type}{time_segment}.csv"
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exp_str = "tests/data/processed/features/period/{pid}/{sensor}_{sensor_type}{time_segment}.csv"
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sensor_cap = sensor.upper()
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if 'TIME_SEGMENTS' and 'FEATURES' in configs[sensor_cap]:
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sensor_type = []
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if 'TYPES' in configs[sensor_cap]:
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for each in configs[sensor_cap]['TYPES']:
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sensor_type.append(each+'_')
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act_file_list = expand(act_str,pid=configs["PIDS"],
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sensor = sensor,
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sensor_type = sensor_type,
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time_segment = configs[sensor_cap]["TIME_SEGMENTS"])
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exp_file_list = expand(exp_str,pid=configs["PIDS"],
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sensor = sensor,
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sensor_type = sensor_type,
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time_segment = configs[sensor_cap]["TIME_SEGMENTS"])
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return zip(act_file_list, exp_file_list)
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def generate_sensor_file_lists(configs):
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# Go through the configs and select those sensors with COMPUTE = True.
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# Also get TIME_SEGMENTS, and optionally TYPES then create expected
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# files. Return dictionary with list of file paths of expected and
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# actual files for each sensor listed in the config file. Added for Travis.
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# Initialize string of file path for both expected and actual metric values
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segment = configs['TIME_SEGMENTS']['TYPE'].lower()
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print(segment)
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act_str = "data/processed/features/"+segment+"/{pid}/{sensor_key}.csv"
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exp_str = "tests/data/processed/features/"+segment+"/{pid}/{sensor_key}.csv"
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# List of available sensors that can be tested by the testing suite
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TESTABLE_SENSORS = ['PHONE_MESSAGES', 'PHONE_CALLS', 'PHONE_SCREEN', 'PHONE_BATTERY', 'PHONE_BLUETOOTH', 'PHONE_WIFI_VISIBLE', 'PHONE_WIFI_CONNECTED', 'PHONE_LIGHT', 'PHONE_APPLICATIONS_FOREGROUND', 'PHONE_ACTIVITY_RECOGNITION', 'PHONE_CONVERSATION']
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# Build list of sensors to be tested.
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sensors = []
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for sensor in TESTABLE_SENSORS:
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if sensor in configs.keys():
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for provider in configs[sensor]["PROVIDERS"]:
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if configs[sensor]["PROVIDERS"][provider]["COMPUTE"]:
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sensors.append(sensor.lower())
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act_file_list = expand(act_str,pid=configs["PIDS"],sensor_key = sensors)
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exp_file_list = expand(exp_str, pid=configs["PIDS"],sensor_key = sensors)
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sensor_file_lists = list(zip(act_file_list,exp_file_list))
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#sensor_file_lists[sensor] = list(zip(act_file_list,exp_file_list))
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return sensor_file_lists |