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from utils.math import data_extraction
from utils.files.input import ScannedObject
def progressbar_placeholder(percent:int):
"""
This function is a placeholder for a progressbar function
"""
def get_raw_data(obj:ScannedObject, ndigits:int,delta_z:float=1,update_progress_bar = progressbar_placeholder)->dict:
"""
Calculates data from the given object
:param obj: Object to analyse
:param ndigits: Number of digits to keep after the comma
:return: dict(str:list) with the following keys:
- X (en mm) : list of x values
- Y (en mm) : list of y values
- Z (en mm) : list of z values
- teta (en rad) : list of teta values
- rayon (en mm) : list of radius values
- Xi-Xmoy : list of Xi-Xmoy values
- Yi-Ymoy : list of Yi-Ymoy values
"""
colones = ["X (en mm)", "Y (en mm)", "Z (en mm)", "teta (en rad)", "rayon (en mm)","Xi-Xmoy","Yi-Ymoy"]
data = {}
for colone in colones:
data[colone] = []
discrete_vertices = obj.get_discrete_vertices(delta_z)
progress = 0
for discrete_values in discrete_vertices:
mean_x ,mean_y, mean_z = data_extraction.get_x_y_z_mean(discrete_values)
for x,y,z in discrete_values:
data["X (en mm)"].append(round(x, ndigits))
data["Y (en mm)"].append(round(y, ndigits))
data["Z (en mm)"].append(round(z, ndigits))
data["teta (en rad)"].append(round(data_extraction.get_teta_from_x_y(x,y,mean_x,mean_y), ndigits))
data["rayon (en mm)"].append(round(data_extraction.get_radius_from_x_y(x,y,mean_x,mean_y), ndigits))
data["Xi-Xmoy"].append(round(x-mean_x, ndigits))
data["Yi-Ymoy"].append(round(y-mean_y, ndigits))
update_progress_bar(int(progress/len(discrete_vertices)*100))
progress += 1
return data
def get_discrete_data(obj:ScannedObject, ndigits:int, delta_z:float=1, update_progress_bar= progressbar_placeholder)->dict:
"""
Calculates data from the given object
:param obj: Object to analyse
:param ndigits: Number of digits to keep after the comma
:return: dict(str:list) with the following keys:
- X moy (en mm) : list of x mean values
- Y moy (en mm) : list of y mean values
- Z moy (en mm) : list of z mean values
- Rayon moyen (en mm) : list of mean radius values
- Rayon ecart type (en mm) : list of radius standard deviation values
"""
colones = ["X moy (en mm)", "Y moy (en mm)", "Z moy (en mm)","Delta z(en mm)","Rayon moyen (en mm)","Rayon ecart type (en mm)"]
data = {}
for colone in colones:
data[colone] = []
discrete_vertices = obj.get_discrete_vertices(delta_z)
progress = 0
for discrete_values in discrete_vertices:
x,y,z = data_extraction.get_x_y_z_mean(discrete_values)
data["X moy (en mm)"].append(round(x, ndigits))
data["Y moy (en mm)"].append(round(y, ndigits))
data["Z moy (en mm)"].append(round(z, ndigits))
first = discrete_values[0]
last = discrete_values[-1]
data["Delta z(en mm)"].append(round(last[2]-first[2],ndigits))
data["Rayon moyen (en mm)"].append(round(data_extraction.get_mean_radius(discrete_values), ndigits))
data["Rayon ecart type (en mm)"].append(round(data_extraction.get_radius_std(discrete_values), ndigits))
update_progress_bar(int(progress/len(discrete_vertices)*100))
progress += 1
return data