cracke/report_output.py at master · aadhithya/cracke · GitHub

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import math
import pandas as pd

def report_crack(length,breadth,time,material,max_load,min_load):
    file = pd.read_csv('./material.csv')
    C = file[(file['material']== material)&(file['time']==time)]['C'].values
    m =  file[(file['material']== material)&(file['time']==time)]['m'].values
    N = file[(file['material']== material)&(file['time']==time)]['cycles'].values
    # print(N)

    if(length == 0 and breadth== 0):
        output = 'Not cracked'
        crack_length = 0
        num_cycles = 'No problem with the sample'
    else:
        output = 'cracked'
        crack_length = math.sqrt(length**2+breadth**2)
        cycles = (crack_length*(10**-3))/(C*((max_load - min_load)**m))
        # print(cycles)
        if(cycles[0] >  N[0]):
            num_cycles = 'Cracks due to excessive fatigue (Usage based) '
        else:
            num_cycles = 'manufacturing defect'
        return crack_length,output,num_cycles, cycles[0]
    # print(crack_length,output,num_cycles)
    return crack_length,output,num_cycles, -1

# def report_no_crack(length,breadth,time,material,max_load,min_load):
#     if(length == None and breadth == None):
#         output = 'Not cracked'
#     file = pd.read_csv('./material.csv')
#     C_constant = file[(file['material']== material)&(file['time']==time)]['C']
#     m =  file[(file['material']== material)&(file['time']==time)]['m']
#     N = file[(file['material']== material)&(file['time']==time)]['cycles']
#     cycles = crack_length/(C*((max_load - min_load)*(10**5))**m)
#     if(cycles >  N):
#         num_cycles = 'perform maintanence'
#     else:
#         num_cycles = 'The sample is okay'

#     return crack_length,output,num_cycles


# report_crack(None,None,2,'cast iron',1000,200)