<gh_stars>1-10
import numbers

from openpyxl import load_workbook

def get_standard_data(filename):
    # import data from Excel
    workbook = load_workbook(filename, data_only=True)
    sheets = workbook.sheetnames

    # extract the sheets with the input data
    wells = []
    wells.extend([well for well in list(sheets) if well.split()[-1] == "well"])

    data = {
        "acr": {},
        "wells": {},
    }

    for i, well in enumerate(wells):
        sheet = workbook[well]
        
        if well == "Reference well":
            data = acr_setup(sheet, data)
        
        data = get_data(well, sheet, data)

    return data

def get_data(well, sheet, data):
    temp = dict(
        MD = [],
        IncDeg = [],
        AziDeg = [],
        TVD = [],
        N = [],
        E = [],
        sigmaH = [],
        sigmaL = [],
        sigmaA = [],
    )

    for row in sheet.iter_rows(
        min_row=17,
        max_row=(),
        min_col=2,
        max_col=10,
    ):
        if isinstance(row[0].value, numbers.Real):
            temp["MD"].append(row[0].value)
            temp["IncDeg"].append(row[1].value)
            temp["AziDeg"].append(row[2].value)
            temp["TVD"].append(row[3].value)
            temp["N"].append(row[4].value)
            temp["E"].append(row[5].value)
            temp["sigmaH"].append(row[6].value)
            temp["sigmaL"].append(row[7].value)
            temp["sigmaA"].append(row[8].value)

    data["wells"][f"{well}"] = temp

    return data

def acr_setup(sheet, data):
    data["acr"]["Sm"] = sheet["I4"].value
    data["acr"]["sigmapa"] = sheet["I5"].value
    data["acr"]["k"] = sheet["I6"].value
    data["acr"]["reference_h_and_c"] = sheet["I7"].value
    data["acr"]["offset_h_and_c"] = sheet["I8"].value

    return data

def make_survey(data, well):
    start_nev = data["wells"][offset]["mesh"].NEVs[0]
    y, x, z = start_nev
    start_xyz = np.array([x, y, z])
    return Survey(
        md=data["wells"][well]["MD"],
        inc=data["wells"][well]["IncDeg"],
        azi=data["wells"][well]["AziDeg"],
        start_nev=start_nev,
        start_xyz=start_xyz
    )

def import_iscwsa_collision_data(filename):
    data = get_standard_data(filename)

    return data

if __name__ == "__main__":
    filename = filename=f"reference/standard-set-of-wellpaths-for-evaluating-clearance-scenarios-r4-17-may-2017.xlsm"
    data = import_iscwsa_collision_data(filename)
import numbers

from openpyxl import load_workbook

def get_standard_data(filename):
    # import data from Excel
    workbook = load_workbook(filename, data_only=True)
    sheets = workbook.sheetnames

    # extract the sheets with the input data
    wells = []
    wells.extend([well for well in list(sheets) if well.split()[-1] == "well"])

    data = {
        "acr": {},
        "wells": {},
    }

    for i, well in enumerate(wells):
        sheet = workbook[well]
        
        if well == "Reference well":
            data = acr_setup(sheet, data)
        
        data = get_data(well, sheet, data)

    return data

def get_data(well, sheet, data):
    temp = dict(
        MD = [],
        IncDeg = [],
        AziDeg = [],
        TVD = [],
        N = [],
        E = [],
        sigmaH = [],
        sigmaL = [],
        sigmaA = [],
    )

    for row in sheet.iter_rows(
        min_row=17,
        max_row=(),
        min_col=2,
        max_col=10,
    ):
        if isinstance(row[0].value, numbers.Real):
            temp["MD"].append(row[0].value)
            temp["IncDeg"].append(row[1].value)
            temp["AziDeg"].append(row[2].value)
            temp["TVD"].append(row[3].value)
            temp["N"].append(row[4].value)
            temp["E"].append(row[5].value)
            temp["sigmaH"].append(row[6].value)
            temp["sigmaL"].append(row[7].value)
            temp["sigmaA"].append(row[8].value)

    data["wells"][f"{well}"] = temp

    return data

def acr_setup(sheet, data):
    data["acr"]["Sm"] = sheet["I4"].value
    data["acr"]["sigmapa"] = sheet["I5"].value
    data["acr"]["k"] = sheet["I6"].value
    data["acr"]["reference_h_and_c"] = sheet["I7"].value
    data["acr"]["offset_h_and_c"] = sheet["I8"].value

    return data

def make_survey(data, well):
    start_nev = data["wells"][offset]["mesh"].NEVs[0]
    y, x, z = start_nev
    start_xyz = np.array([x, y, z])
    return Survey(
        md=data["wells"][well]["MD"],
        inc=data["wells"][well]["IncDeg"],
        azi=data["wells"][well]["AziDeg"],
        start_nev=start_nev,
        start_xyz=start_xyz
    )

def import_iscwsa_collision_data(filename):
    data = get_standard_data(filename)

    return data

if __name__ == "__main__":
    filename = filename=f"reference/standard-set-of-wellpaths-for-evaluating-clearance-scenarios-r4-17-may-2017.xlsm"
    data = import_iscwsa_collision_data(filename)
# import data from Excel # extract the sheets with the input data