notebooks/prototype 6: imagery downloaded from coastsat needs a sitename per ROI about coastseg HOT 4 CLOSED

def check_images_available_selected_ROI(selected_ROI:dict)->list:
    list_of_inputs=[]; 
    if selected_ROI["features"] != []:
        for counter, ROI in enumerate(selected_ROI["features"]):
            coastSatBBOX=ROI["geometry"]["coordinates"]
            polygon=coastSatBBOX
            # it's recommended to convert the polygon to the smallest rectangle (sides parallel to coordinate axes)       
            polygon = SDS_tools.smallest_rectangle(polygon)
            # date range
            dates = ['2018-12-01', '2019-01-01']
            # satellite missions
            sat_list = ['S2','L7','L8']
            # name of the site
            sitename = 'ID'+str(counter)
            # directory where the data will be stored
            filepath = os.path.join(os.getcwd(), 'data')
            # put all the inputs into a dictionnary
            inputs = {'polygon': polygon, 'dates': dates, 'sat_list': sat_list, 'sitename': sitename, 'filepath':filepath}
            # before downloading the images, check how many images are available for your inputs
            SDS_download.check_images_available(inputs)
            list_of_inputs.append(inputs)
    return list_of_inputs

def check_images_available_selected_ROI(selected_ROI:dict)->list:
    list_of_inputs=[]; 
    if selected_ROI["features"] != []:
        date_str=generate_datestring()
        for counter, ROI in enumerate(selected_ROI["features"]):
            coastSatBBOX=ROI["geometry"]["coordinates"]
            polygon=coastSatBBOX
            # it's recommended to convert the polygon to the smallest rectangle (sides parallel to coordinate axes)       
            polygon = SDS_tools.smallest_rectangle(polygon)
            # date range
            dates = ['2018-12-01', '2019-01-01']
            # satellite missions
            sat_list = ['S2','L7','L8']
            # name of the site
            sitename = 'ID'+str(counter)+date_str
            # directory where the data will be stored
            filepath = os.path.join(os.getcwd(), 'data')
            # put all the inputs into a dictionnary
            inputs = {'polygon': polygon, 'dates': dates, 'sat_list': sat_list, 'sitename': sitename, 'filepath':filepath}
            # before downloading the images, check how many images are available for your inputs
            SDS_download.check_images_available(inputs)
            list_of_inputs.append(inputs)
    return list_of_inputs

def check_images_available_selected_ROI(selected_ROI:dict)->list:
    list_of_inputs=[]; 
    if selected_ROI["features"] != []:
        for counter, ROI in enumerate(selected_ROI["features"]):
            coastSatBBOX=ROI["geometry"]["coordinates"]
            polygon=coastSatBBOX
            # it's recommended to convert the polygon to the smallest rectangle (sides parallel to coordinate axes)       
            polygon = SDS_tools.smallest_rectangle(polygon)
            # date range
            dates = ['2018-12-01', '2019-01-01']
            # satellite missions
            sat_list = ['S2','L7','L8']
            # name of the site
            date_str=generate_datestring()
            sitename = 'ID'+str(counter)+date_str
            # directory where the data will be stored
            filepath = os.path.join(os.getcwd(), 'data')
            # put all the inputs into a dictionnary
            inputs = {'polygon': polygon, 'dates': dates, 'sat_list': sat_list, 'sitename': sitename, 'filepath':filepath}
            # before downloading the images, check how many images are available for your inputs
            SDS_download.check_images_available(inputs)
            list_of_inputs.append(inputs)
    return list_of_inputs

from datetime import datetime
def generate_datestring():
    date=datetime.now()
    print(date)
    return date.strftime('%Y-%m-%d %H_hr_%M_min')