from snakemake.io import expand
import os
import subprocess
import shutil
import yaml

def setUp():
    # This utility setUp is intended to be run once before all tests are run
    # It is intended the set up all the necessary fake data in order to test
    # the rules and scipt files.  

    # Load the configuration file to get basic parameters 
    with open(r'tests/settings/testing_config.yaml') as file:
        configs = yaml.full_load(file)

        # Get the settings 
        pids = configs['PIDS']

    
    # Reset the test data files  
    for pid in pids:
        # Remove old data files if they exist
        despath = os.path.join('data/raw/', pid)
        if os.path.exists(despath) and os.path.isdir(despath):
            shutil.rmtree(despath)

        # Remove old processed files if they exist
        propath = os.path.join('data/processed/', pid)
        if os.path.exists(propath) and os.path.isdir(propath):
            shutil.rmtree(propath)

        # Create a fresh PID data directories necessary for this round of tests
        os.mkdir(despath)

        # Copy necessary data files
        srcpath = os.path.join('tests/data/raw', pid)
        srcfiles = os.listdir(srcpath)
        for srcfile in srcfiles:
            srcfile_path = os.path.join(srcpath, srcfile)
            desfile = os.path.join(despath, srcfile)
            shutil.copy(srcfile_path, desfile)
    
    return configs


 
def generate_file_list(configs, sensor):
    # Generates the list of files that would be produced for one sensor
    # i.e. The sensor passed into the function. 

    # Initialize string of file path for both expected and actual metric values
    act_str = "data/processed/{pid}/{sensor}_{sensor_type}{day_segment}.csv"
    exp_str = "tests/data/processed/{pid}/{sensor}_{sensor_type}{day_segment}.csv"
    
    sensor_cap = sensor.upper()
    if 'DAY_SEGMENTS' and 'FEATURES' in configs[sensor_cap]:
        sensor_type = []
        if 'TYPES' in configs[sensor_cap]:
            for each in configs[sensor_cap]['TYPES']:
                sensor_type.append(each+'_')

    act_file_list = expand(act_str,pid=configs["PIDS"],
                                   sensor = sensor,
                                   sensor_type = sensor_type,
                                   day_segment = configs[sensor_cap]["DAY_SEGMENTS"])
    
    exp_file_list = expand(exp_str,pid=configs["PIDS"],
                                   sensor = sensor,
                                   sensor_type = sensor_type,
                                   day_segment = configs[sensor_cap]["DAY_SEGMENTS"])

    return zip(act_file_list, exp_file_list)


def generate_sensor_file_lists(configs):
    # Go through the configs and select those sensors with DAY_SEGMENTS,
    # optionally TYPES then create expected files Return dictionary with 
    # list of file paths of expected and actual files for each sensor 
    # listed in the config file. Added for Travis.
    
    # Initialize string of file path for both expected and actual metric values
    act_str = "data/processed/{pid}/{sensor}_{sensor_type}{day_segment}.csv"
    exp_str = "tests/data/processed/{pid}/{sensor}_{sensor_type}{day_segment}.csv"

    # Get all the SENSORS in the config.yaml files
    sensors = configs['SENSORS']
    sensor_file_lists = {}
    
    # Loop though all sensors and create the actual and expected file paths
    for sensor in sensors:
        if sensor == 'messages':
            sensor = 'sms'
            sensor_cap = 'SMS'
        else:
            sensor_cap = sensor.upper()
        if 'DAY_SEGMENTS' in configs[sensor_cap]:
            sensor_type = []
            if 'TYPES' in configs[sensor_cap]:
                for each in configs[sensor_cap]['TYPES']:
                    sensor_type.append(each+'_')
            
            if sensor_type:
                act_file_list = expand(act_str, pid=configs["PIDS"], 
                                                sensor = sensor, 
                                                sensor_type = sensor_type, 
                                                day_segment = configs[sensor_cap]["DAY_SEGMENTS"])
                exp_file_list = expand(exp_str, pid=configs["PIDS"], 
                                                sensor = sensor, 
                                                sensor_type = sensor_type, 
                                                day_segment = configs[sensor_cap]["DAY_SEGMENTS"])
            else:
                act_file_list = expand(act_str, pid=configs["PIDS"], 
                                                sensor = sensor, 
                                                sensor_type = '', 
                                                day_segment = configs[sensor_cap]["DAY_SEGMENTS"])
                exp_file_list = expand(exp_str, pid=configs["PIDS"], 
                                                sensor = sensor, 
                                                sensor_type = '', 
                                                day_segment = configs[sensor_cap]["DAY_SEGMENTS"])

            sensor_file_lists[sensor_cap] = list(zip(act_file_list,exp_file_list))

    return sensor_file_lists