110 lines
4.7 KiB
Python
110 lines
4.7 KiB
Python
"""
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Created on Mon Apr 24 2023
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@name: data_processing.py
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@desc: A module to process the data
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@auth: Djalim Simaila
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@e-mail: djalim.simaila@inrae.fr
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"""
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from utils.math import data_extraction
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from utils.files.input import ScannedObject
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from utils.settings.SettingManager import SettingManager
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def progressbar_placeholder(percent:int):
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"""
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This function is a placeholder for a progressbar function
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"""
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def get_raw_data(obj:ScannedObject, ndigits:int,delta_z:float=1,update_progress_bar = progressbar_placeholder)->dict:
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"""
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Calculates data from the given object
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:param obj: Object to analyse
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:param ndigits: Number of digits to keep after the comma
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:param delta_z: Delta z to use for the discretisation
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:param update_progress_bar: Function to update the progress bar
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:return: dict(str:list) with the following keys:
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- X (en mm) : list of x values
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- Y (en mm) : list of y values
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- Z (en mm) : list of z values
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- teta (en rad) : list of teta values
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- rayon (en mm) : list of radius values
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- Xi-Xmoy : list of Xi-Xmoy values
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- Yi-Ymoy : list of Yi-Ymoy values
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"""
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# Create the data dict
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colones = ["X (en mm)", "Y (en mm)", "Z (en mm)", "teta (en rad)", "rayon (en mm)","Xi-Xmoy","Yi-Ymoy"]
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data = {}
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for colone in colones:
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data[colone] = []
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# Select the discretisation method from the settings
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if SettingManager.get_instance().get_setting("discretisation_method") == "Z0-Zi < DeltaZ":
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get_discrete_vertices = obj.get_discrete_vertices
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else:
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get_discrete_vertices = obj.get_discrete_vertices3
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# Get the discrete vertices
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discrete_vertices = get_discrete_vertices(delta_z)
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progress = 0
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# Calculate the data for each discrete vertex
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for discrete_values in discrete_vertices:
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mean_x ,mean_y, mean_z = data_extraction.get_x_y_z_mean(discrete_values)
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for x,y,z in discrete_values:
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data["X (en mm)"].append(round(x, ndigits))
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data["Y (en mm)"].append(round(y, ndigits))
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data["Z (en mm)"].append(round(z, ndigits))
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data["teta (en rad)"].append(round(data_extraction.get_teta_from_x_y(x,y,mean_x,mean_y), ndigits))
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data["rayon (en mm)"].append(round(data_extraction.get_radius_from_x_y(x,y,mean_x,mean_y), ndigits))
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data["Xi-Xmoy"].append(round(x-mean_x, ndigits))
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data["Yi-Ymoy"].append(round(y-mean_y, ndigits))
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update_progress_bar(int(progress/len(discrete_vertices)*100))
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progress += 1
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return data
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def get_discrete_data(obj:ScannedObject, ndigits:int, delta_z:float=1, update_progress_bar= progressbar_placeholder)->dict:
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"""
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Calculates data from the given object
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:param obj: Object to analyse
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:param ndigits: Number of digits to keep after the comma
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:param delta_z: Delta z to use for the discretisation
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:param update_progress_bar: Function to update the progress bar
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:return: dict(str:list) with the following keys:
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- X moy (en mm) : list of x mean values
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- Y moy (en mm) : list of y mean values
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- Z moy (en mm) : list of z mean values
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- Rayon moyen (en mm) : list of mean radius values
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- Rayon ecart type (en mm) : list of radius standard deviation values
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"""
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# Create the data dict
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colones = ["X moy (en mm)", "Y moy (en mm)", "Z moy (en mm)","Discretisation(en mm)","Rayon moyen (en mm)","Rayon ecart type (en mm)"]
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data = {}
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for colone in colones:
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data[colone] = []
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# Select the discretisation method from the settings
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if SettingManager.get_instance().get_setting("discretisation_method") == "Z0-Zi < DeltaZ":
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get_discrete_vertices = obj.get_discrete_vertices
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else:
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get_discrete_vertices = obj.get_discrete_vertices3
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# Get the discrete vertices
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discrete_vertices = get_discrete_vertices(delta_z)
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progress = 0
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for discrete_values in discrete_vertices:
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x,y,z = data_extraction.get_x_y_z_mean(discrete_values)
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data["X moy (en mm)"].append(round(x, ndigits))
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data["Y moy (en mm)"].append(round(y, ndigits))
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data["Z moy (en mm)"].append(round(z, ndigits))
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first = discrete_values[0]
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last = discrete_values[-1]
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data["Discretisation(en mm)"].append(round(last[2]-first[2],ndigits))
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data["Rayon moyen (en mm)"].append(round(data_extraction.get_mean_radius(discrete_values), ndigits))
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data["Rayon ecart type (en mm)"].append(round(data_extraction.get_radius_std(discrete_values), ndigits))
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update_progress_bar(int(progress/len(discrete_vertices)*100))
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progress += 1
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return data
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