Update global state manager with curriculum ingestion functions

mathtext_fastapi/curriculum_mapper.py

@@ -0,0 +1,148 @@
+import numpy as np
+import pandas as pd
+import re
+
+from pathlib import Path
+
+
+def read_and_preprocess_spreadsheet():
+    # path = list(Path.cwd().glob('Rori_Framework_v1.xlsx'))
+    DATA_DIR = Path(__file__).parent.parent / "mathtext_fastapi" / "data" / "Rori_Framework_v1.xlsx"
+    script_df = pd.read_excel(DATA_DIR, engine='openpyxl')
+    script_df.columns = script_df.columns[:2].tolist() + script_df.columns[2:11].astype(int).astype(str).tolist() + script_df.columns[11:].tolist()
+    script_df.fillna('', inplace=True)
+    return script_df
+
+
+def build_horizontal_transitions_by_row(direction, skill_code, row):
+    match_arr = []
+    sideways_transitions = []
+
+    second_match = match+1
+    if direction == 'left':
+        second_match = match-1
+
+    for i in range(9):
+        # Grade column
+        current_grade = i+1
+        if row[current_grade].lower().strip() == 'x':
+            match_arr.append(i)
+            
+    for match in match_arr:
+        if match_arr[-1] != match:
+            sideways_transitions.append([
+                direction,
+                f"{skill_code}_G{match}",
+                f"{skill_code}_G{second_match}"
+            ])
+    return sideways_transitions
+
+
+def extract_skill_code(skill):
+    pattern = r'[A-Z][0-9]\.\d+\.\d+'
+    result = re.search(pattern, skill)
+    return result.group()
+
+
+def build_horizontal_transitions(script_df):
+    horizontal_transitions = []
+    for index, row in script_df.iterrows():     
+        skill_code = extract_skill_code(row['Knowledge or Skill'])
+
+        rightward_matches = []
+        for i in range(9):
+            # Grade column
+            current_grade = i+1
+            if row[current_grade].lower().strip() == 'x':
+                rightward_matches.append(i)
+            
+        for match in rightward_matches:
+            if rightward_matches[-1] != match:
+                horizontal_transitions.append([
+                    "right",
+                    f"{skill_code}_G{match}",
+                    f"{skill_code}_G{match+1}"
+                ])
+
+        leftward_matches = []
+        for i in reversed(range(9)):
+            current_grade = i
+            if row[current_grade].lower().strip() == 'x':
+                leftward_matches.append(i)
+
+        for match in leftward_matches:
+            if leftward_matches[0] != match:
+                horizontal_transitions.append([
+                    "left",
+                    f"{skill_code}_G{match}",
+                    f"{skill_code}_G{match-1}"
+                ])
+
+    return horizontal_transitions
+
+
+def gather_all_vertical_matches(script_df):
+    all_matches = []
+    columns = ['1', '2', '3', '4', '5', '6', '7', '8', '9']
+
+    for column in columns:
+        for index, value in script_df[column].iteritems():
+            row_num = index + 1
+            if value == 'x':
+                # Extract skill code
+                skill_code = extract_skill_code(
+                    script_df['Knowledge or Skill'][row_num-1]
+                )
+
+                all_matches.append([skill_code, column])
+    return all_matches
+
+
+def build_vertical_transitions(script_df):
+    vertical_transitions = []
+
+    all_matches = gather_all_vertical_matches(script_df)
+
+    # Downward
+    for index, match in enumerate(all_matches):
+        skill = match[0]
+        row_num = match[1]
+        if all_matches[-1] != match:
+            vertical_transitions.append([
+                "down",
+                f"{skill}_G{row_num}",
+                f"{all_matches[index+1][0]}_G{row_num}"
+            ])
+
+    # Upward
+    for index, match in reversed(list(enumerate(all_matches))):
+        skill = match[0]
+        row_num = match[1]
+        if all_matches[0] != match:
+            vertical_transitions.append([
+                "up",
+                f"{skill}_G{row_num}",
+                f"{all_matches[index-1][0]}_G{row_num}"
+            ])
+    
+    return vertical_transitions
+
+
+def build_all_states(all_transitions):
+    all_states = []
+    for transition in all_transitions:
+        for index, state in enumerate(transition):
+            if index == 0:
+                continue   
+            if state not in all_states:
+                all_states.append(state)
+    return all_states
+
+
+def build_curriculum_logic():
+    script_df = read_and_preprocess_spreadsheet()
+    horizontal_transitions = build_horizontal_transitions(script_df)
+    vertical_transitions = build_vertical_transitions(script_df)
+    all_transitions = horizontal_transitions + vertical_transitions
+    all_states = build_all_states(all_transitions)
+    return all_states, all_transitions

mathtext_fastapi/global_state_manager.py

@@ -1,14 +1,12 @@
 from transitions import Machine
+from mathtext_fastapi.curriculum_mapper import build_curriculum_logic
 
+all_states, all_transitions = build_curriculum_logic()
 
 class GlobalStateManager(object):
-    states = [
-        'N1.1.1_G1', 'N1.1.1_G2', 'N1.1.1_G3', 'N1.1.1_G4', 'N1.1.1_G5', 'N1.1.1_G6', 'N1.1.2_G1', 'N1.1.2_G2', 'N1.1.2_G3', 'N1.1.2_G4', 'N1.1.2_G5', 'N1.1.2_G6', 'N1.1.3_G2', 'N1.1.3_G3', 'N1.1.3_G4', 'N1.1.3_G5', 'N1.1.3_G6', 'N1.2.1_G1', 'N1.2.1_G2', 'N1.2.1_G3', 'N1.2.2_G2', 'N1.2.2_G3', 'N1.2.2_G4', 'N1.2.2_G5', 'N1.2.2_G6', 'N1.2.3_G5', 'N1.2.3_G6', 'N1.3.1_G1', 'N1.3.1_G2', 'N1.3.1_G3', 'N1.3.1_G4', 'N1.3.1_G5', 'N1.3.1_G6', 'N1.3.2_G1', 'N1.3.2_G2', 'N1.3.3_G3', 'N1.3.3_G4', 'N1.3.3_G5', 'N1.3.3_G6', 'N1.3.6_G5', 'N1.3.6_G6', 'N1.3.7_G2', 'N1.3.7_G3', 'N1.3.7_G4', 'N1.3.7_G5', 'N1.3.7_G6', 'N1.4.1_G1', 'N1.4.1_G2', 'N1.4.1_G3', 'N1.4.1_G4', 'N1.4.1_G5', 'N1.4.2_G4', 'N1.4.2_G5', 'N1.4.2_G6', 'N2.1.1_G3', 'N2.1.1_G4', 'N2.1.2_G4', 'N2.1.2_G5', 'N2.1.2_G6', 'N2.1.2_G7', 'N2.1.3_G5', 'N2.1.3_G6', 'N2.1.3_G7', 'N2.1.4_G4', 'N2.1.4_G5', 'N2.1.4_G6', 'N2.1.4_G7', 'N2.2.1_G4', 'N2.2.1_G5', 'N2.2.1_G6', 'N2.2.2_G5', 'N2.2.2_G6', 'N2.2.2_G7', 'N2.2.3_G5', 'N2.2.3_G6', 'N2.2.3_G7', 'N2.3.1_G4', 'N2.3.1_G5', 'N2.3.1_G6', 'N2.3.1_G7', 'N2.3.2_G5', 'N2.3.2_G6', 'N2.3.2_G7', 'N3.1.1_G5', 'N3.1.1_G6', 'N3.1.1_G7', 'N3.1.2_G5', 'N3.1.2_G6', 'N3.1.2_G7', 'N3.2.1_G5', 'N3.2.1_G6', 'N3.2.1_G7', 'N3.2.1_G8', 'N3.2.2_G5', 'N3.2.2_G6', 'N3.2.2_G7', 'N3.2.2_G8', 'N3.2.3_G6', 'N3.2.3_G7', 'N3.2.3_G8', 'N3.2.4_G7', 'N3.2.4_G8', 'N3.3.1_G5', 'N3.3.1_G6', 'N3.3.1_G7', 'N3.3.1_G8', 'N3.3.2_G7', 'N3.3.2_G8', 'N3.4.1_G6', 'N3.4.1_G7', 'N3.4.1_G8', 'N4.2.1_G7', 'N4.2.1_G8', 'N4.2.3_G7', 'N4.2.3_G8', 'N4.3.1_G7', 'N4.3.1_G8', 'N5.1.1_G7', 'N5.1.1_G8', 'N5.1.2_G7', 'N5.1.2_G8', 'N5.1.3_G7', 'N5.1.3_G8', 'M1.1.1_G1', 'M1.1.1_G2', 'M1.1.1_G3', 'M1.1.1_G4', 'M1.1.2_G2', 'M1.1.2_G3', 'M1.1.2_G4', 'M1.1.2_G5', 'M1.1.3_G4', 'M1.1.3_G5', 'M1.1.3_G6', 'M1.1.3_G7', 'M1.1.3_G8', 'M1.1.4_G5', 'M1.1.4_G6', 'M1.1.4_G7', 'M1.2.1_G4', 'M1.2.1_G5', 'M1.2.1_G6', 'M1.2.1_G7', 'M1.2.1_G8', 'M1.2.3_G4', 'M1.2.3_G5', 'M1.2.3_G6', 'M1.2.3_G7', 'M1.2.4_G7', 'M1.2.4_G8', 'M1.2.7_G7', 'M1.2.7_G8', 'M2.1.1_G1', 'M2.1.1_G2', 'M2.1.2_G1', 'M2.1.2_G2', 'M2.1.2_G3', 'M2.1.2_G4', 'M2.1.2_G5', 'M2.1.3_G4', 'M2.1.3_G5', 'M2.1.4_G1', 'M2.1.4_G2', 'M2.1.4_G3', 'M2.1.4_G4', 'M2.2.1_G2', 'M2.2.1_G3', 'M2.2.1_G4', 'M2.2.2_G3', 'M2.2.2_G4', 'M2.2.2_G5', 'M2.2.2_G6', 'M2.2.3_G5', 'M2.2.3_G6', 'M2.2.3_G7', 'M2.2.3_G8', 'M3.1.1_G1', 'M3.1.1_G2', 'M3.1.1_G3', 'G1.1.1_G1', 'G1.1.1_G2', 'G1.1.1_G3', 'G1.1.1_G4', 'G1.1.2_G3', 'G1.1.2_G4', 'G1.1.2_G5', 'G1.1.2_G6', 'G1.1.2_G7', 'G1.1.3_G6', 'G1.1.3_G7', 'G1.1.3_G8', 'G1.1.4_G1', 'G1.1.4_G2', 'G1.1.4_G3', 'G1.1.5_G4', 'G1.1.5_G5', 'G1.1.5_G6', 'G1.1.5_G7', 'G1.1.6_G7', 'G1.1.6_G8', 'G1.1.7_G4', 'G1.1.7_G5', 'G1.1.7_G6', 'G1.1.7_G7', 'G1.1.7_G8', 'G1.1.8_G7', 'G1.1.8_G8', 'G1.1.9_G1', 'G1.1.9_G2', 'G1.1.9_G3', 'G1.1.10_G2', 'G1.1.10_G3', 'G1.1.10_G4', 'G1.1.11_G3', 'G1.1.11_G4', 'G1.1.11_G5', 'G1.1.13_G7', 'G1.1.13_G8', 'G2.1.1_G1', 'G2.1.1_G2', 'G2.1.1_G3', 'G2.1.1_G4', 'G2.1.2_G4', 'G2.1.2_G5', 'G2.1.2_G6', 'G2.1.2_G7', 'G2.1.2_G8', 'G2.1.3_G5', 'G2.1.3_G6', 'G2.1.3_G7', 'G2.1.3_G8', 'G3.1.1_G1', 'G3.1.1_G2', 'G3.1.1_G3', 'G3.1.1_G4', 'G3.1.2_G3', 'G3.1.2_G4', 'G3.1.2_G5', 'G3.1.2_G6', 'G3.1.3_G6', 'G3.1.3_G7', 'G3.1.3_G8', 'S1.1.1_G1', 'S1.1.1_G2', 'S1.1.2_G2', 'S1.1.2_G3', 'S1.1.2_G4', 'S1.1.2_G5', 'S1.1.3_G4', 'S1.1.3_G5', 'S1.1.4_G4', 'S1.1.4_G5', 'S1.1.4_G6', 'S1.1.5_G4', 'S1.1.5_G5', 'S1.1.5_G6', 'S1.1.5_G7', 'S1.1.6_G6', 'S1.1.6_G7', 'S1.1.6_G8', 'S1.2.1_G7', 'S1.2.1_G8', 'S1.2.2_G7', 'S1.2.2_G8', 'S2.1.1_G5', 'S2.1.1_G6', 'S2.1.1_G7', 'S2.1.2_G6', 'S2.1.2_G7', 'S2.1.2_G8', 'S2.1.3_G7', 'S2.1.3_G8', 'A1.1.1_G1', 'A1.1.1_G2', 'A1.1.1_G3', 'A1.1.1_G4', 'A1.1.2_G3', 'A1.1.2_G4', 'A1.1.2_G5', 'A1.1.2_G6', 'A1.1.3_G5', 'A1.1.3_G6', 'A1.1.3_G7', 'A1.1.4_G6', 'A1.1.4_G7', 'A2.1.1_G7', 'A2.1.1_G8', 'A2.1.2_G7', 'A2.1.2_G8', 'A2.1.3_G7', 'A2.1.3_G8', 'A3.1.1_G6', 'A3.1.1_G7', 'A3.1.1_G8', 'A3.1.2_G7', 'A3.1.2_G8', 'A3.1.3_G7', 'A3.1.3_G8', 'A3.2.1_G2', 'A3.2.1_G3', 'A3.2.1_G4', 'A3.2.1_G5', 'A3.2.2_G3', 'A3.2.2_G4', 'A3.2.2_G5', 'A3.2.2_G6', 'A3.2.3_G2', 'A3.2.3_G3', 'A3.2.3_G4', 'A3.2.3_G5', 'A3.2.3_G6', 'A3.3.1_G7', 'A3.3.1_G8', 'A3.4.2_G124', 'A3.4.1_G123', 'A3.3.5_G122', 'A3.3.4_G121', 'A3.3.3_G120', 'A3.3.2_G119', 'A3.3.1_G118', 'A3.1.3_G114', 'A3.1.2_G113', 'A2.1.4_G111', 'A2.1.3_G110', 'A2.1.1_G108', 'S2.2.2_G103', 'S2.2.1_G102', 'S2.1.4_G101', 'S2.1.3_G100', 'S1.2.4_G97', 'S1.2.3_G96', 'S1.2.2_G95', 'S1.2.1_G94', 'S1.1.8_G93', 'S1.1.6_G91', 'G3.1.4_G85', 'G3.1.3_G84', 'G2.1.3_G81', 'G2.1.2_G80', 'G1.1.13_G78', 'G1.1.12_G77', 'G1.1.8_G73', 'G1.1.6_G71', 'M2.2.3_G64', 'M1.2.9_G57', 'M1.2.7_G55', 'M1.2.6_G54', 'M1.2.5_G53', 'M1.2.4_G52', 'M1.2.2_G50', 'N6.1.1_G44', 'N5.2.1_G43', 'N5.1.3_G42', 'N5.1.2_G41', 'A3.1.1_G112', 'A2.1.2_G109', 'S2.1.2_G99', 'G1.1.7_G72', 'G1.1.3_G68', 'M1.2.1_G49', 'M1.1.3_G47', 'N5.1.1_G40', 'N4.3.1_G39', 'N4.2.3_G38', 'N4.2.2_G37', 'N4.2.1_G36', 'N3.4.1_G34', 'N3.3.2_G33', 'N3.3.1_G32', 'N3.2.4_G31', 'N3.2.3_G30', 'N3.2.2_G29', 'N3.2.1_G28', 'A1.1.4_G107', 'A1.1.3_G106', 'S2.1.1_G98', 'S1.1.5_G90', 'G1.1.5_G70', 'G1.1.2_G67', 'M1.2.3_G51', 'M1.1.4_G48', 'N4.1.1_G35', 'N3.1.2_G27', 'N3.1.1_G26', 'N2.3.2_G25', 'N2.3.1_G24', 'N2.2.3_G23', 'N2.2.2_G22', 'N2.1.4_G20', 'N2.1.3_G19', 'N2.1.2_G18', 'A3.2.3_G117', 'A3.2.2_G116', 'A1.1.2_G105', 'S1.1.4_G89', 'G3.1.2_G83', 'M2.2.2_G63', 'N2.2.1_G21', 'N1.4.2_G16', 'N1.3.7_G14', 'N1.3.6_G13', 'N1.3.3_G10', 'N1.3.1_G8', 'N1.2.3_G7', 'A3.2.1_G115', 'S1.1.3_G88', 'S1.1.2_G87', 'G1.1.11_G76', 'M2.1.3_G60', 'M2.1.2_G59', 'M1.1.2_G46', 'N1.4.1_G15', 'A1.1.1_G104', 'G3.1.1_G82', 'G2.1.1_G79', 'G1.1.10_G75', 'G1.1.1_G66', 'M2.2.1_G62', 'M2.1.4_G61', 'M1.1.1_G45', 'N2.1.1_G17', 'N1.3.5_G12', 'G1.1.9_G74', 'G1.1.4_G69', 'M3.1.1_G65', 'N1.3.4_G11', 'N1.2.1_G5', 'S1.1.1_G86', 'M2.1.1_G58', 'N1.3.2_G9'
-    ]
+    states = all_states
 
-    transitions = [
-        ['right', 'N1.1.1_G1', 'N1.1.1_G2'], ['right', 'N1.1.1_G2', 'N1.1.1_G3'], ['right', 'N1.1.1_G3', 'N1.1.1_G4'], ['right', 'N1.1.1_G4', 'N1.1.1_G5'], ['right', 'N1.1.1_G5', 'N1.1.1_G6'], ['left', 'N1.1.1_G6', 'N1.1.1_G5'], ['left', 'N1.1.1_G5', 'N1.1.1_G4'], ['left', 'N1.1.1_G4', 'N1.1.1_G3'], ['left', 'N1.1.1_G3', 'N1.1.1_G2'], ['left', 'N1.1.1_G2', 'N1.1.1_G1'], ['right', 'N1.1.2_G1', 'N1.1.2_G2'], ['right', 'N1.1.2_G2', 'N1.1.2_G3'], ['right', 'N1.1.2_G3', 'N1.1.2_G4'], ['right', 'N1.1.2_G4', 'N1.1.2_G5'], ['right', 'N1.1.2_G5', 'N1.1.2_G6'], ['left', 'N1.1.2_G6', 'N1.1.2_G5'], ['left', 'N1.1.2_G5', 'N1.1.2_G4'], ['left', 'N1.1.2_G4', 'N1.1.2_G3'], ['left', 'N1.1.2_G3', 'N1.1.2_G2'], ['left', 'N1.1.2_G2', 'N1.1.2_G1'], ['right', 'N1.1.3_G2', 'N1.1.3_G3'], ['right', 'N1.1.3_G3', 'N1.1.3_G4'], ['right', 'N1.1.3_G4', 'N1.1.3_G5'], ['right', 'N1.1.3_G5', 'N1.1.3_G6'], ['left', 'N1.1.3_G6', 'N1.1.3_G5'], ['left', 'N1.1.3_G5', 'N1.1.3_G4'], ['left', 'N1.1.3_G4', 'N1.1.3_G3'], ['left', 'N1.1.3_G3', 'N1.1.3_G2'], ['right', 'N1.2.1_G1', 'N1.2.1_G2'], ['right', 'N1.2.1_G2', 'N1.2.1_G3'], ['left', 'N1.2.1_G3', 'N1.2.1_G2'], ['left', 'N1.2.1_G2', 'N1.2.1_G1'], ['right', 'N1.2.2_G2', 'N1.2.2_G3'], ['right', 'N1.2.2_G3', 'N1.2.2_G4'], ['right', 'N1.2.2_G4', 'N1.2.2_G5'], ['right', 'N1.2.2_G5', 'N1.2.2_G6'], ['left', 'N1.2.2_G6', 'N1.2.2_G5'], ['left', 'N1.2.2_G5', 'N1.2.2_G4'], ['left', 'N1.2.2_G4', 'N1.2.2_G3'], ['left', 'N1.2.2_G3', 'N1.2.2_G2'], ['right', 'N1.2.3_G5', 'N1.2.3_G6'], ['left', 'N1.2.3_G6', 'N1.2.3_G5'], ['right', 'N1.3.1_G1', 'N1.3.1_G2'], ['right', 'N1.3.1_G2', 'N1.3.1_G3'], ['right', 'N1.3.1_G3', 'N1.3.1_G4'], ['right', 'N1.3.1_G4', 'N1.3.1_G5'], ['right', 'N1.3.1_G5', 'N1.3.1_G6'], ['left', 'N1.3.1_G6', 'N1.3.1_G5'], ['left', 'N1.3.1_G5', 'N1.3.1_G4'], ['left', 'N1.3.1_G4', 'N1.3.1_G3'], ['left', 'N1.3.1_G3', 'N1.3.1_G2'], ['left', 'N1.3.1_G2', 'N1.3.1_G1'], ['right', 'N1.3.2_G1', 'N1.3.2_G2'], ['left', 'N1.3.2_G2', 'N1.3.2_G1'], ['right', 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'A3.2.1_G2', 'A1.1.1_G2'], ['up', 'A1.1.1_G2', 'S1.1.2_G2'], ['up', 'S1.1.2_G2', 'S1.1.1_G2'], ['up', 'S1.1.1_G2', 'G3.1.1_G2'], ['up', 'G3.1.1_G2', 'G2.1.1_G2'], ['up', 'G2.1.1_G2', 'G1.1.10_G2'], ['up', 'G1.1.10_G2', 'G1.1.9_G2'], ['up', 'G1.1.9_G2', 'G1.1.4_G2'], ['up', 'G1.1.4_G2', 'G1.1.1_G2'], ['up', 'G1.1.1_G2', 'M3.1.1_G2'], ['up', 'M3.1.1_G2', 'M2.2.1_G2'], ['up', 'M2.2.1_G2', 'M2.1.4_G2'], ['up', 'M2.1.4_G2', 'M2.1.2_G2'], ['up', 'M2.1.2_G2', 'M2.1.1_G2'], ['up', 'M2.1.1_G2', 'M1.1.2_G2'], ['up', 'M1.1.2_G2', 'M1.1.1_G2'], ['up', 'M1.1.1_G2', 'N1.4.1_G2'], ['up', 'N1.4.1_G2', 'N1.3.7_G2'], ['up', 'N1.3.7_G2', 'N1.3.2_G2'], ['up', 'N1.3.2_G2', 'N1.3.1_G2'], ['up', 'N1.3.1_G2', 'N1.2.2_G2'], ['up', 'N1.2.2_G2', 'N1.2.1_G2'], ['up', 'N1.2.1_G2', 'N1.1.3_G2'], ['up', 'N1.1.3_G2', 'N1.1.2_G2'], ['up', 'N1.1.2_G2', 'N1.1.1_G2'], ['up', 'N1.1.1_G2', 'A1.1.1_G2'], ['up', 'A1.1.1_G1', 'S1.1.1_G1'], ['up', 'S1.1.1_G1', 'G3.1.1_G1'], ['up', 'G3.1.1_G1', 'G2.1.1_G1'], ['up', 'G2.1.1_G1', 'G1.1.9_G1'], ['up', 'G1.1.9_G1', 'G1.1.4_G1'], ['up', 'G1.1.4_G1', 'G1.1.1_G1'], ['up', 'G1.1.1_G1', 'M3.1.1_G1'], ['up', 'M3.1.1_G1', 'M2.1.4_G1'], ['up', 'M2.1.4_G1', 'M2.1.2_G1'], ['up', 'M2.1.2_G1', 'M2.1.1_G1'], ['up', 'M2.1.1_G1', 'M1.1.1_G1'], ['up', 'M1.1.1_G1', 'N1.4.1_G1'], ['up', 'N1.4.1_G1', 'N1.3.2_G1'], ['up', 'N1.3.2_G1', 'N1.3.1_G1'], ['up', 'N1.3.1_G1', 'N1.2.1_G1'], ['up', 'N1.2.1_G1', 'N1.1.2_G1'], ['up', 'N1.1.2_G1', 'N1.1.1_G1']
-    ]
+    transitions = all_transitions
 
     def __init__(
         self,