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Sergio Salas commited on
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realizados test unitarios con archivos proporcionados. Falla el 3

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Files changed (13) hide show
  1. mieWeb/scripts/pruebas/__pycache__/calculo_prueba.cpython-312.pyc +0 -0
  2. mieWeb/scripts/pruebas/calculo_prueba.py +4 -2
  3. mieWeb/src/datos/Q_Ag_Johnson_R_25_nmed_1.txt +49 -0
  4. mieWeb/src/datos/Q_Ag_Johnson_R_50_nmed_1.txt +49 -0
  5. mieWeb/src/datos/Q_Au_Johnson_R_100_nmed_1.txt +49 -0
  6. mieWeb/src/datos/Q_Au_Johnson_R_50_nmed_1.5.txt +49 -0
  7. mieWeb/src/datos/Q_Au_Johnson_R_50_nmed_1.txt +49 -0
  8. mieWeb/src/negocio/__pycache__/descarga.cpython-312.pyc +0 -0
  9. mieWeb/src/negocio/descarga.py +2 -24
  10. mieWeb/src/presentacion/__pycache__/view.cpython-312.pyc +0 -0
  11. mieWeb/src/presentacion/view.py +2 -1
  12. mieWeb/src/test/__pycache__/pruebas.cpython-312.pyc +0 -0
  13. mieWeb/src/test/pruebas.py +131 -16
mieWeb/scripts/pruebas/__pycache__/calculo_prueba.cpython-312.pyc ADDED
Binary file (242 Bytes). View file
 
mieWeb/scripts/pruebas/calculo_prueba.py CHANGED
@@ -2,6 +2,7 @@ import numpy as np
2
  import miepython
3
  import sqlite3
4
 
 
5
  def calculate_mie_arrays(material_data, radius):
6
  results = {}
7
  for material_id, (valor_lambda_array, n_array, k_array) in material_data.items():
@@ -21,8 +22,8 @@ def calculate_mie_arrays(material_data, radius):
21
  return results
22
 
23
  # Conectar a la base de datos SQLite
24
- db_path = r"C:\Users\sersa\Desktop\UC\tfg\tfg\mieWeb\pruebas\prueba.db"
25
- conn = sqlite3.connect(db_path)
26
  cursor = conn.cursor()
27
 
28
  # IDs de los materiales que queremos filtrar
@@ -60,3 +61,4 @@ for material_id, (qext_array, qsca_array, qabs_array) in results.items():
60
  print(f" Coeficiente de absorci贸n (qabs): {qabs_array[i]:.4f}")
61
 
62
  # Ejemplo: ahora puedes usar los resultados para gr谩ficas en matplotlib
 
 
2
  import miepython
3
  import sqlite3
4
 
5
+ """"
6
  def calculate_mie_arrays(material_data, radius):
7
  results = {}
8
  for material_id, (valor_lambda_array, n_array, k_array) in material_data.items():
 
22
  return results
23
 
24
  # Conectar a la base de datos SQLite
25
+ #b_path = pruebas\prueba.db"
26
+ #conn = sqlite3.connect(db_path)
27
  cursor = conn.cursor()
28
 
29
  # IDs de los materiales que queremos filtrar
 
61
  print(f" Coeficiente de absorci贸n (qabs): {qabs_array[i]:.4f}")
62
 
63
  # Ejemplo: ahora puedes usar los resultados para gr谩ficas en matplotlib
64
+ """
mieWeb/src/datos/Q_Ag_Johnson_R_25_nmed_1.txt ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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mieWeb/src/datos/Q_Ag_Johnson_R_50_nmed_1.txt ADDED
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+ 495.9 1.6363 1.5452 0.091111
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mieWeb/src/datos/Q_Au_Johnson_R_100_nmed_1.txt ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ 237.1 3.0314 1.6129 1.4186
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+ 249 3.0907 1.6674 1.4233
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+ 255.1 3.1216 1.7019 1.4197
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+ 276.1 3.1572 1.7637 1.3935
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49
+ 1937 0.054998 0.035449 0.019549
mieWeb/src/datos/Q_Au_Johnson_R_50_nmed_1.5.txt ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ 187.9 2.3436 1.0272 1.3163
2
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6
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49
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mieWeb/src/datos/Q_Au_Johnson_R_50_nmed_1.txt ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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49
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mieWeb/src/negocio/__pycache__/descarga.cpython-312.pyc CHANGED
Binary files a/mieWeb/src/negocio/__pycache__/descarga.cpython-312.pyc and b/mieWeb/src/negocio/__pycache__/descarga.cpython-312.pyc differ
 
mieWeb/src/negocio/descarga.py CHANGED
@@ -1,8 +1,7 @@
1
  import tempfile
2
  import zipfile
3
  from bokeh.io import export_svg
4
- from reportlab.graphics import renderPDF
5
- from svglib.svglib import svg2rlg
6
 
7
  from src.negocio.calculo import calculate_mie_arrays
8
 
@@ -47,28 +46,7 @@ def descargar_txt(presenter_instance):
47
 
48
 
49
  def descargar_pdf(plot):
50
- """
51
- Exporta la gr谩fica Bokeh a un archivo PDF manteniendo la calidad.
52
- """
53
- try:
54
- # Exportar la gr谩fica a formato SVG
55
- svg_path = "/tmp/graph.svg" # Ruta temporal para el archivo SVG
56
- export_svg(plot, filename=svg_path)
57
-
58
- # Convertir el SVG a un objeto de gr谩ficos
59
- drawing = svg2rlg(svg_path)
60
-
61
- # Ruta donde se guardar谩 el archivo PDF
62
- pdf_path = "grafica.pdf"
63
 
64
- # Guardar el gr谩fico como PDF usando renderPDF
65
- renderPDF.drawToFile(drawing, pdf_path)
66
-
67
- # Mensaje de 茅xito
68
- print(f"PDF guardado correctamente en {pdf_path}")
69
-
70
- except Exception as e:
71
- # Manejo de errores
72
- print(f"Error al exportar la gr谩fica como PDF: {e}")
73
 
74
 
 
1
  import tempfile
2
  import zipfile
3
  from bokeh.io import export_svg
4
+
 
5
 
6
  from src.negocio.calculo import calculate_mie_arrays
7
 
 
46
 
47
 
48
  def descargar_pdf(plot):
49
+ export_svg(plot, filename = "grafica.svg")
 
 
 
 
 
 
 
 
 
 
 
 
50
 
 
 
 
 
 
 
 
 
 
51
 
52
 
mieWeb/src/presentacion/__pycache__/view.cpython-312.pyc CHANGED
Binary files a/mieWeb/src/presentacion/__pycache__/view.cpython-312.pyc and b/mieWeb/src/presentacion/__pycache__/view.cpython-312.pyc differ
 
mieWeb/src/presentacion/view.py CHANGED
@@ -36,7 +36,8 @@ class View(IView):
36
  tools="pan,box_zoom,reset,hover",
37
  tooltips=[("Wavelength", "@x"), ("Value", "@y")],
38
  width=500, # Fixed width
39
- height=500 # Fixed height
 
40
  )
41
 
42
  # Crear el contenedor para la gr谩fica sin leyenda
 
36
  tools="pan,box_zoom,reset,hover",
37
  tooltips=[("Wavelength", "@x"), ("Value", "@y")],
38
  width=500, # Fixed width
39
+ height=500, # Fixed height
40
+ output_backend = "svg" # Enable SVG output
41
  )
42
 
43
  # Crear el contenedor para la gr谩fica sin leyenda
mieWeb/src/test/__pycache__/pruebas.cpython-312.pyc CHANGED
Binary files a/mieWeb/src/test/__pycache__/pruebas.cpython-312.pyc and b/mieWeb/src/test/__pycache__/pruebas.cpython-312.pyc differ
 
mieWeb/src/test/pruebas.py CHANGED
@@ -1,36 +1,151 @@
1
  import unittest
2
-
3
  import numpy as np
 
 
 
4
 
5
  from src.negocio.calculo import calculate_mie_arrays
 
6
 
7
 
8
  class TestPruebas(unittest.TestCase):
9
 
10
- def test_calculo_mie(self):
11
- # Simulamos un diccionario con datos de material
12
- material_data = {
13
- 'lambda': 0.5, # longitudes de onda en nm
14
- 'n': 1, # 铆ndice de refracci贸n real
15
- 'k': 0.5, # 铆ndice de refracci贸n imaginario
16
- 'page_id': 123
 
 
 
 
17
  }
18
 
19
- radius = 2 # Radio de la part铆cula en micr贸metros
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
20
  n_surrounding = 1.0 # 脥ndice de refracci贸n del entorno (agua o aire, por ejemplo)
21
 
22
- # Llamamos a la funci贸n con los datos simulados
23
- results = calculate_mie_arrays(material_data, radius, n_surrounding)
24
 
25
- # Arrays de valores reales que tienes
26
- qext_real = 2
27
 
 
 
28
 
29
- # Comprobamos los valores de qext, qsca, y qabs de forma individual
 
30
 
31
- self.assertAlmostEqual(radius, qext_real)
 
32
 
 
 
33
 
34
 
35
  if __name__ == "__main__":
36
- unittest.main()
 
1
  import unittest
 
2
  import numpy as np
3
+ import csv
4
+ import os
5
+
6
 
7
  from src.negocio.calculo import calculate_mie_arrays
8
+ from src.persistencia.acceso_datos import obtener_datos_pagina
9
 
10
 
11
  class TestPruebas(unittest.TestCase):
12
 
13
+
14
+ def read_tsv(self, file_name):
15
+
16
+ base_dir = os.path.dirname(os.path.abspath(__file__)) # Carpeta 'test'
17
+ file_path = os.path.join(base_dir, "..", "datos", file_name) # Subir un nivel y entrar en 'datos'
18
+
19
+ data = {
20
+ "Lambda": [],
21
+ "Qext": [],
22
+ "Qsca": [],
23
+ "Qabs": []
24
  }
25
 
26
+ with open(file_path, mode='r') as file:
27
+ reader = csv.reader(file, delimiter='\t')
28
+
29
+ for row in reader:
30
+ data["Lambda"].append(float(row[0]))
31
+ data["Qext"].append(float(row[1]))
32
+ data["Qsca"].append(float(row[2]))
33
+ data["Qabs"].append(float(row[3]))
34
+
35
+ return data
36
+
37
+
38
+ # Pruebas unitarias para el c谩lculo de Mie
39
+ def test_calculo_mie_1(self):
40
+
41
+ material_1 = obtener_datos_pagina("Ag", "Johnson")
42
+ radius = 25 # Radio de la part铆cula en micr贸metros
43
+ n_surrounding = 1.0 # 脥ndice de refracci贸n del entorno (agua o aire, por ejemplo)
44
+
45
+ results_material = calculate_mie_arrays(material_1, radius, n_surrounding)
46
+
47
+
48
+ file_name = 'Q_Ag_Johnson_R_25_nmed_1.txt'
49
+ real_data = self.read_tsv(file_name)
50
+
51
+ for real_value, calc_value in zip(real_data["Qext"], results_material["qext"]):
52
+ self.assertAlmostEqual(real_value, calc_value, delta=0.001)
53
+
54
+ for real_value, calc_value in zip(real_data["Qabs"], results_material["qabs"]):
55
+ self.assertAlmostEqual(real_value, calc_value, delta=0.001)
56
+
57
+ for real_value, calc_value in zip(real_data["Qsca"], results_material["qsca"]):
58
+ self.assertAlmostEqual(real_value, calc_value, delta=0.001)
59
+
60
+
61
+
62
+ def test_calculo_mie_2(self):
63
+
64
+ material_2 = obtener_datos_pagina("Ag", "Johnson")
65
+ radius = 50 # Radio de la part铆cula en micr贸metros
66
+ n_surrounding = 1.0 # 脥ndice de refracci贸n del entorno (agua o aire, por ejemplo)
67
+
68
+ results_material = calculate_mie_arrays(material_2, radius, n_surrounding)
69
+
70
+
71
+ file_name = 'Q_Ag_Johnson_R_50_nmed_1.txt'
72
+ real_data = self.read_tsv(file_name)
73
+
74
+ for real_value, calc_value in zip(real_data["Qext"], results_material["qext"]):
75
+ self.assertAlmostEqual(real_value, calc_value, delta=0.001)
76
+
77
+ for real_value, calc_value in zip(real_data["Qabs"], results_material["qabs"]):
78
+ self.assertAlmostEqual(real_value, calc_value, delta=0.001)
79
+
80
+ for real_value, calc_value in zip(real_data["Qsca"], results_material["qsca"]):
81
+ self.assertAlmostEqual(real_value, calc_value, delta=0.001)
82
+
83
+ def test_calculo_mie_3(self):
84
+
85
+ material_3 = obtener_datos_pagina("Au", "Johnson")
86
+ radius = 50 # Radio de la part铆cula en micr贸metros
87
+ n_surrounding = 1.5 # 脥ndice de refracci贸n del entorno (agua o aire, por ejemplo)
88
+
89
+ results_material = calculate_mie_arrays(material_3, radius, n_surrounding)
90
+
91
+
92
+ file_name = 'Q_Au_Johnson_R_50_nmed_1.5.txt'
93
+ real_data = self.read_tsv(file_name)
94
+
95
+ for real_value, calc_value in zip(real_data["Qext"], results_material["qext"]):
96
+ self.assertAlmostEqual(real_value, calc_value, delta=0.001)
97
+
98
+ for real_value, calc_value in zip(real_data["Qabs"], results_material["qabs"]):
99
+ self.assertAlmostEqual(real_value, calc_value, delta=0.001)
100
+
101
+ for real_value, calc_value in zip(real_data["Qsca"], results_material["qsca"]):
102
+ self.assertAlmostEqual(real_value, calc_value, delta=0.001)
103
+
104
+
105
+ def test_calculo_mie_4(self):
106
+
107
+ material_4 = obtener_datos_pagina("Au", "Johnson")
108
+ radius = 50 # Radio de la part铆cula en micr贸metros
109
+ n_surrounding = 1.0 # 脥ndice de refracci贸n del entorno (agua o aire, por ejemplo)
110
+
111
+ results_material = calculate_mie_arrays(material_4, radius, n_surrounding)
112
+
113
+
114
+ file_name = 'Q_Au_Johnson_R_50_nmed_1.txt'
115
+ real_data = self.read_tsv(file_name)
116
+
117
+ for real_value, calc_value in zip(real_data["Qext"], results_material["qext"]):
118
+ self.assertAlmostEqual(real_value, calc_value, delta=0.001)
119
+
120
+ for real_value, calc_value in zip(real_data["Qabs"], results_material["qabs"]):
121
+ self.assertAlmostEqual(real_value, calc_value, delta=0.001)
122
+
123
+ for real_value, calc_value in zip(real_data["Qsca"], results_material["qsca"]):
124
+ self.assertAlmostEqual(real_value, calc_value, delta=0.001)
125
+
126
+
127
+
128
+ def test_calculo_mie_5(self):
129
+
130
+ material_5 = obtener_datos_pagina("Au", "Johnson")
131
+ radius = 100 # Radio de la part铆cula en micr贸metros
132
  n_surrounding = 1.0 # 脥ndice de refracci贸n del entorno (agua o aire, por ejemplo)
133
 
134
+ results_material = calculate_mie_arrays(material_5, radius, n_surrounding)
 
135
 
 
 
136
 
137
+ file_name = 'Q_Au_Johnson_R_100_nmed_1.txt'
138
+ real_data = self.read_tsv(file_name)
139
 
140
+ for real_value, calc_value in zip(real_data["Qext"], results_material["qext"]):
141
+ self.assertAlmostEqual(real_value, calc_value, delta=0.001)
142
 
143
+ for real_value, calc_value in zip(real_data["Qabs"], results_material["qabs"]):
144
+ self.assertAlmostEqual(real_value, calc_value, delta=0.001)
145
 
146
+ for real_value, calc_value in zip(real_data["Qsca"], results_material["qsca"]):
147
+ self.assertAlmostEqual(real_value, calc_value, delta=0.001)
148
 
149
 
150
  if __name__ == "__main__":
151
+ unittest.main()