basic functionality

main.py

@@ -1,9 +1,89 @@
 import phi_star
 import csv
+from docx import Document
+from docx.shared import RGBColor
+
+
+COLUMNS_TRIM = 3
+
+CRIT_LOW = 1.62
+CRIT_HIGH = 2.33
 
 if __name__ == '__main__':
+    males = 0
+    fems = 0
+
+    fem_responses = []
+    male_responses = []
+
     with open("responses.csv", encoding="utf-8") as file:
         reader = csv.reader(file)
+        headers = next(reader)
+        q_count = len(headers)
+
+        for i in range(COLUMNS_TRIM, q_count):
+            fem_responses.append({})
+            male_responses.append({})
+
         for row in reader:
-            print(row)
-    print(phi_star.calculate_phi_star([[1, 1], [1, 1]]))
+            is_male = False
+            if row[1] == "мужской":
+                males+=1
+                is_male = True
+            else:
+                fems+=1
+            for i in range(COLUMNS_TRIM, q_count):
+                answer_array = row[i].split(";")
+                for answer in answer_array:
+                    if answer == "":
+                        answer = "не могу дать точный ответ"
+                    if is_male:
+                        male_responses[i - COLUMNS_TRIM][answer] = male_responses[i - COLUMNS_TRIM].get(answer, 0) + 1
+                    else:
+                        fem_responses[i - COLUMNS_TRIM][answer] = fem_responses[i - COLUMNS_TRIM].get(answer, 0) + 1
+
+    doc = Document()
+
+    doc.add_heading("Гендерные стереотипы")
+
+    doc.add_paragraph("Кол-во мужчин: " + str(males) + "\nКол-во женщин: " + str(fems) + "\nВсего опрошено: " + str(males + fems))
+
+    for i in range(0, q_count - COLUMNS_TRIM):
+
+        doc.add_paragraph("\n\n"+str(headers[i+COLUMNS_TRIM]))
+
+        all_keys = set(fem_responses[i].keys()) | set(male_responses[i].keys())
+
+        doc_table = doc.add_table(len(all_keys) + 1, 4)
+        doc_table.style = 'Table Grid'
+
+        doc_table.cell(0, 0).text = "Ответ"
+        doc_table.cell(0, 1).text = "Женщины"
+        doc_table.cell(0, 2).text = "Мужчины"
+        doc_table.cell(0, 3).text = "φ*эмп"
+
+        row = 1
+
+        for answer in all_keys:
+            male_count = male_responses[i].get(answer, 0)
+            fem_count = fem_responses[i].get(answer, 0)
+
+            table = [[fem_count, fems - fem_count],
+                     [male_count, males-male_count]]
+
+            phisher = phi_star.calculate(table)
+
+            doc_table.cell(row, 0).text = answer
+            doc_table.cell(row, 1).text = str(fem_count)
+            doc_table.cell(row, 2).text = str(male_count)
+            doc_table.cell(row, 3).text = str(f"{phisher:.3f}")
+
+            if phisher >= CRIT_HIGH: color = RGBColor(0, 128, 0)
+            elif phisher <= CRIT_LOW: color = RGBColor(255, 0, 0)
+            else: color = RGBColor(128, 128, 0)
+
+            for cell in doc_table.rows[row].cells: cell.paragraphs[0].runs[0].font.color.rgb = color
+
+            row+=1
+
+    doc.save("output.docx")

phi_star.py

@@ -1,6 +1,6 @@
 import math
 
-def calculate_phi_star(table):
+def calculate(table):
     """
     Вычисляет эмпирическое значение φ* по 2x2 таблице сопряжённости.
 
@@ -44,3 +44,18 @@ def calculate_phi_star(table):
 
     # Вычисляем φ*
     return math.sqrt(chi_squared_1 + chi_squared_2)
+
+def validate(table):
+    group1_ef = table[0][0]
+    group1_ne = table[0][1]
+    group2_ef = table[1][0]
+    group2_ne = table[1][1]
+
+    total_group1 = group1_ef + group1_ne
+    total_group2 = group2_ef + group2_ne
+
+    if min(total_group1,total_group2) >= 5: return True
+    if min(total_group1,total_group2) == 2 and max(total_group1,total_group2)>=30: return True
+    if min(total_group1,total_group2) == 3 and max(total_group1,total_group2)>=7: return True
+    if min(total_group1,total_group2) == 4 and max(total_group1,total_group2)>=5: return True
+    return False