def get_value_any(a: str or list, key: str) -> list or None:
"""
get value from a key from a dictionary either from-id or to-id dictionary of ids
"""
node = {}
linking = {}
if isinstance(a, str):
node = xmlParsing.node(a)
linking = xmlParsing.lf(a)
if isinstance(a, list):
node = xmlParsing.node_multiple(a)
linking = xmlParsing.lf_multiple(a)
for i, j in node.items():
if i == key:
return j
for i, j in linking.items():
if i == key:
return j
else:
return None
def n_or_l(a: dict, key: str) -> 1 or 2 or None:
"""
:return 1 if the value represented by the key is a node
:return 2 if the value represented by the key is a linking phrase
"""
node = {}
linking = {}
if isinstance(a, str):
node = xmlParsing.node(a)
linking = xmlParsing.lf(a)
if isinstance(a, list):
node = xmlParsing.node_multiple(a)
linking = xmlParsing.lf_multiple(a)
for i, j in node.items():
if i == key:
return 1
for i, j in linking.items():
if i == key:
return 2
else:
return None
def get_key_any(a:dict, val:str)->str or None:
"""
return the key that matches either from-id or to-id dictionary of ids
they have separate keys
"""
stat = None
nodes = {}
lf = {}
if (isinstance(a,str)):
nodes = xmlParsing.node(a)
lf = xmlParsing.lf(a)
if (isinstance(a, list)):
nodes = xmlParsing.node_multiple(a)
lf = xmlParsing.lf_multiple(a)
if val in nodes.values():
for key, value in nodes.items():
if val == value:
stat = key
if val in lf.values():
for key, value in lf.items():
if val == value:
stat = key
return stat
def dia(a: str or list,
e: str or list,
con=1 / 3,
mis=1 / 3,
hie=1 / 3,
curve=0,
isView=True):
"""
:returns matched branch, missed branch, extra branch, partially matched branch, total match (%),
Concept Match (%), hierarchy match (%) and grade
create 2 diagram PDF
"""
fr_s = '30'
id_dict = None
id_dict_student = None
ins = {}
stu = {}
unmatched = None
grade = None
info = None
leaf_num = 1
per_node, per_lf, per_avg = 0, 0, 0
A = None
B = None
C = None
D = None
E = None
F = None
G = None
H = None
I = None
J = None
K = None
M = None
L = None
P = None
Q = None
start = time.process_time()
sub_map_instructor = []
stu_concept, concept_score, conception_match = reform.concept_score(a, e)
concept_score = 100 - concept_score
if isinstance(a, str) and isinstance(e, str):
id_dict = xmlParsing.id_dict(a)
id_dict_student = xmlParsing.id_dict(e)
leaf_num = xmlParsing.num_orphan(e)
ins = xmlParsing.process(a)
stu = xmlParsing.process(e)
unmatched, per_node, per_lf, per_avg, all_node = dictKey.mismatched_key_list(
a, e)
L = int(all_node)
for key, value in xmlParsing.process(a).items():
if value[0] not in sub_map_instructor:
sub_map_instructor.append(value[0])
if isinstance(a, list) and isinstance(e, str):
id_dict = xmlParsing.id_dict_multiple(a)
id_dict_student = xmlParsing.id_dict(e)
leaf_num = xmlParsing.num_orphan(e)
ins = xmlParsing.process_multiple(a)
stu = xmlParsing.process(e)
unmatched, per_node, per_lf, per_avg, all_node = dictKey.mismatched_key_list(
a, e)
L = int(all_node)
for key, value in xmlParsing.process_multiple(a).items():
if value[0] not in sub_map_instructor:
sub_map_instructor.append(value[0])
if isinstance(a, list) and isinstance(e, list):
id_dict = xmlParsing.id_dict_multiple(a)
id_dict_student = xmlParsing.id_dict_multiple(e)
leaf_num = xmlParsing.num_orphan(e)
ins = xmlParsing.process_multiple(a)
stu = xmlParsing.process_multiple(e)
unmatched, per_node, per_lf, per_avg, all_node = dictKey.mismatched_key_list(
a, e)
L = int(all_node)
for key, value in xmlParsing.process_multiple(a).items():
if value[0] not in sub_map_instructor:
sub_map_instructor.append(value[0])
if isinstance(a, str) and isinstance(e, list):
id_dict = xmlParsing.id_dict(a)
id_dict_student = xmlParsing.id_dict_multiple(e)
leaf_num = xmlParsing.num_orphan(e)
ins = xmlParsing.process(a)
stu = xmlParsing.process_multiple(e)
unmatched, per_node, per_lf, per_avg, all_node = dictKey.mismatched_key_list(
a, e)
L = int(all_node)
for key, value in xmlParsing.process(a).items():
if value[0] not in sub_map_instructor:
sub_map_instructor.append(value[0])
summery, comparison, cmap_dict, grade, m_p_u, info = compare.engine(
ins, stu)
B = int(m_p_u[0])
C = int(m_p_u[1])
D = int(m_p_u[2])
E = int(m_p_u[3])
dot = Digraph(comment='The Round Table')
pot = Digraph(comment='The Round Table')
if id_dict is not None and unmatched is not None and id_dict_student is not None:
n = []
n_m = []
t = []
t_m = []
for key, value in xmlParsing.orphan_list(a).items():
dot.node(key,
value,
style='filled',
shape='rect',
Gsplines='true',
fontsize=fr_s)
for key, value in id_dict.items():
if n_or_l(a, value[0]) == 1:
if value[0] in unmatched:
n.append(value[0])
t.append(value[0])
# Node unmatched
if get_value_any(a, value[0]) in sub_map_instructor:
dot.node(value[0],
simplyfy(get_value_any(a, value[0])),
style='filled',
fillcolor='#FFB6C1',
shape='doubleoctagon',
Gsplines='true',
fontsize=fr_s)
else:
dot.node(value[0],
simplyfy(get_value_any(a, value[0])),
style='filled',
fillcolor='#FFB6C1',
shape='rect',
Gsplines='true',
fontsize=fr_s)
else:
n.append(value[0])
n_m.append(value[0])
t.append(value[0])
t_m.append(value[0])
# Node matched
if get_value_any(a, value[0]) in sub_map_instructor:
dot.node(value[0],
simplyfy(get_value_any(a, value[0])),
style='filled',
fillcolor='white',
shape='doubleoctagon',
Gsplines='true',
fontsize=fr_s)
else:
dot.node(value[0],
simplyfy(get_value_any(a, value[0])),
style='filled',
fillcolor='white',
shape='rect',
Gsplines='true',
fontsize=fr_s)
if value[1] in unmatched:
t.append(value[1])
# linking phrase unmatched
dot.node(value[1],
simplyfy(get_value_any(a, value[1])),
shape='none',
fontcolor='red',
Gsplines='true',
fontsize=fr_s)
else:
t.append(value[1])
t_m.append(value[1])
# linking phrase matched
dot.node(value[1],
simplyfy(get_value_any(a, value[1])),
shape='none',
fontcolor='black',
Gsplines='true',
fontsize=fr_s)
dot.edge(value[0], value[1], constraint='true')
# for i in conception_match:
# if (i[0] is simplyfy(get_value_any(a, value[0]))) and (i[1] is simplyfy(get_value_any(a, value[1]))):
# dot.edge(value[0], value[1], constraint='true', arrowhead='open', fontsize=fr_s)
# else:
# dot.edge(value[0], value[1], constraint='true', arrowhead='open', style='dashed', fontsize=fr_s)
if n_or_l(a, value[0]) == 2:
# linking phrase unmatched
if value[0] in unmatched:
t.append(value[0])
dot.node(value[0],
simplyfy(get_value_any(a, value[0])),
shape='none',
fontcolor='red',
Gsplines='true',
fontsize=fr_s)
# linking phrase matched
else:
t.append(value[0])
t_m.append(value[0])
dot.node(value[0],
simplyfy(get_value_any(a, value[0])),
shape='none',
fontcolor='black',
Gsplines='true',
fontsize=fr_s)
# Node unmatched
if value[1] in unmatched:
t.append(value[1])
n.append(value[1])
if get_value_any(a, value[1]) in sub_map_instructor:
dot.node(value[1],
simplyfy(get_value_any(a, value[1])),
style='filled',
fillcolor='#FFB6C1',
shape='doubleoctagon',
Gsplines='true',
fontsize=fr_s)
else:
dot.node(value[1],
simplyfy(get_value_any(a, value[1])),
style='filled',
fillcolor='#FFB6C1',
shape='rect',
Gsplines='true',
fontsize=fr_s)
# Node matched
else:
t.append(value[1])
t_m.append(value[1])
n.append(value[1])
n_m.append(value[1])
if get_value_any(a, value[1]) in sub_map_instructor:
dot.node(value[1],
simplyfy(get_value_any(a, value[1])),
style='filled',
fillcolor='white',
shape='doubleoctagon',
Gsplines='true',
fontsize=fr_s)
else:
dot.node(value[1],
simplyfy(get_value_any(a, value[1])),
style='filled',
fillcolor='white',
shape='rect',
Gsplines='true',
fontsize=fr_s)
# dot.edge(value[0], value[1], constraint='true')
if (value[1] in conception_match):
dot.edge(value[0],
value[1],
constraint='true',
arrowhead='open',
fontsize=fr_s)
else:
dot.edge(value[0],
value[1],
constraint='true',
arrowhead='open',
style='dashed',
fontsize=fr_s)
n = del_duplicate(n)
n_m = del_duplicate(n_m)
t = del_duplicate(t)
t_m = del_duplicate(t_m)
dot.node("Stat",
'SUMMERY\n\n' + info + "\lTotal Match:\t\t" + str(per_avg) +
" %\lConcept Match:\t" + str(per_node) +
" %\lLink. Phr. Match:\t" + str(per_lf) +
' %\lMisconception:\t' + str(concept_score) +
' %\lHierarchy Match:\t' + str(grade) + " %\l",
style='filled',
fillcolor='#F5FFFA',
shape='component',
Gsplines='true',
fontsize=fr_s)
grade_result = float(
round(per_node * con + (100 - concept_score) * mis + grade * hie,
2))
dot.node("Grade",
'Grade:\t' + str(grade_result) + '%\t' +
grading_system(grade_result + curve),
style='filled',
fillcolor='#FFEBCD',
shape='note',
Gsplines='true',
fontsize=fr_s)
F = float(per_avg)
G = float(per_node)
H = float(per_lf)
I = float(concept_score)
J = float(grade)
K = float(
round(per_node * con + (100 - concept_score) * mis + grade * hie,
2))
dot.edge('Stat',
'Grade',
constraint='true',
arrowhead='inv',
color="black",
fontsize=fr_s)
# for i in conception_match:
# if (i[0] is not None) and (i[1] is not None):
# dot.edge(i[0],i[1], constraint='true', arrowhead='open', style= 'dashed', color = "#0316D1",fontsize = fr_s)
nm_instructor = name(a)
nm_student = name(e)
A = str(nm_student)
bran = {}
branch_num = 0
node_num = 0
linking_num = 0
preposition_num = 0
orphan_num = 0
sub_map_num = 0
student_node = []
student_linking = []
student_orphan = []
sub_map = []
pot.node('Student',
'Student: ' + str(nm_student),
style='filled',
fillcolor='gold',
shape='component',
fontsize=fr_s)
if (isinstance(e, str)):
for key, value in xmlParsing.process(e).items():
if value[0] not in sub_map:
sub_map.append(value[0])
if (isinstance(e, list)):
for key, value in xmlParsing.process_multiple(e).items():
if value[0] not in sub_map:
sub_map.append(value[0])
for key, value in id_dict_student.items():
if n_or_l(e, value[0]) == 1:
if value[0] not in student_node:
student_node.append(value[0])
if value[1] not in student_linking:
student_linking.append(value[1])
if get_value_any(e, value[0]) in sub_map:
pot.node(value[0],
simplyfy(get_value_any(e, value[0])),
style='filled',
fillcolor='white',
shape='doubleoctagon',
fontsize=fr_s)
else:
pot.node(value[0],
simplyfy(get_value_any(e, value[0])),
style='filled',
fillcolor='white',
shape='rect',
fontsize=fr_s)
pot.node(value[1],
simplyfy(get_value_any(e, value[1])),
shape='none',
fontsize=fr_s)
if n_or_l(e, value[0]) == 2:
if value[1] not in student_node:
student_node.append(value[1])
if value[0] not in student_linking:
student_linking.append(value[0])
pot.node(value[0],
simplyfy(get_value_any(e, value[0])),
shape='none',
fontsize=fr_s)
if get_value_any(e, value[1]) in sub_map:
pot.node(value[1],
simplyfy(get_value_any(e, value[1])),
style='filled',
fillcolor='white',
shape='doubleoctagon',
fontsize=fr_s)
else:
pot.node(value[1],
simplyfy(get_value_any(e, value[1])),
style='filled',
fillcolor='white',
shape='rect',
fontsize=fr_s)
pot.edge(value[0], value[1], constraint='true', fontsize=fr_s)
if (isinstance(e, str)):
bran = xmlParsing.process(e)
for nod in xmlParsing.node(e):
if nod not in student_node:
student_orphan.append(nod)
for l in xmlParsing.lf(e):
if l not in student_linking:
student_linking.append(l)
if (isinstance(e, list)):
bran = xmlParsing.process_multiple(e)
for nod in xmlParsing.node_multiple(e):
if nod not in student_node:
student_orphan.append(nod)
for l in xmlParsing.lf_multiple(e):
if l not in student_linking:
student_linking.append(l)
for value in student_orphan:
pot.node(value,
simplyfy(get_value_any(e, value)),
style='filled',
fillcolor='white',
shape='rect',
fontsize=fr_s)
branch_num = len(bran)
node_num = len(student_node)
linking_num = len(student_linking)
orphan_num = len(student_orphan)
preposition_num = len(stu_concept)
sub_map_num = len(sub_map)
pot.node("statictics",
"STATISTICS\n\lBranch:\t\t" + str(branch_num) +
'\lNode:\t\t' + str(node_num) + '\lLinking Phrase:\t' +
str(linking_num) + "\lOrphan:\t\t" + str(orphan_num) +
"\lLeaf Node:\t" + str(leaf_num) + "\lPreposition:\t" +
str(preposition_num) + "\lSub Map:\t\t" + str(sub_map_num) +
'\lAvg Word Per Concept:\t' +
str(round(dictKey.word_per_concept(e), 2)) + '\l',
style='filled',
fillcolor='#F5FFFA',
shape='component',
Gsplines='true',
fontsize=fr_s)
title = ''
created = ''
modified = ''
language = ''
format = ''
publisher = ''
width = 0
height = 0
for key, value in xmlParsing.information(e).items():
if str(key) == "title":
title = str(value)
if str(key) == 'created':
created = str(value)
if str(key) == 'modified':
modified = str(value)
if str(key) == 'language':
language = str(value)
if str(key) == 'format':
format = str(value)
if str(key) == 'publisher':
publisher = str(value)
if str(key) == 'width':
width = str(value)
if str(key) == 'height':
height = str(value)
pot.node("file_info",
"CMAP Information\n\n" + '\lTitle:\t' + title +
'\lCreated:\t' + created + '\lModified:\t' + modified +
'\lLanguage:\t' + language + '\lFormat:\t' + format +
'\lPublisher:\t' + publisher + '\lWidth:\t' + width +
'\lHeight:\t' + height + '\l',
style='filled',
fillcolor='#E6E6FA',
shape='tab',
Gsplines='true',
fontsize=fr_s)
nm_student = name(e)
nm_instructor = name(a)
if (isView == True):
pot.render('results/' + str(nm_student) + "/" + str(nm_student) +
"- " + str(nm_instructor) + '_only' + '.gv',
view=True)
dot.render('results/' + str(nm_student) + "/" + str(nm_student) +
"- " + str(nm_instructor) + '.gv',
view=True)
else:
pot.render('results/' + str(nm_student) + "/" + str(nm_student) +
"- " + str(nm_instructor) + '_only' + '.gv',
view=False)
dot.render('results/' + str(nm_student) + "/" + str(nm_student) +
"- " + str(nm_instructor) + '.gv',
view=False)
end = time.process_time()
M = round(end - start, 2)
if (not isinstance(a, str)) and (not isinstance(a, list)):
print(str(type(a)) + " " + str(a) + " is not accepted")
if (not isinstance(e, str)) and (not isinstance(e, list)):
print(str(type(e)) + " " + str(e) + " is not accepted")
if isinstance(a, list):
end = 0
for i in a:
if not i.endswith('.cxl'):
end += 1
if end > 0:
print(str(a) + ' are not *.cxl files\n')
if isinstance(e, list):
end = 0
for i in e:
if not i.endswith('.cxl'):
end += 1
if end > 0:
print(str(e) + ' are not *.cxl files\n')
if isinstance(a, str):
if not a.endswith('.cxl'):
print(str(a) + ' is not a *.cxl file')
if isinstance(e, str):
if not e.endswith('.cxl'):
print(str(e) + ' is not a *.cxl file')
return A, B, C, D, E, F, G, H, I, J, K, L, M
def mismatched_key_list(instructor_directory: str or list, student_directory: str or list) -> list and float and float and float and int:
"""
finds the unmatched key list from the instructor dictionary that were absent in student dictionary
"""
list_i = []
list_s = []
rt = []
dict_key_i = {}
dict_lf_i = {}
dict_concept_i = {}
dict_node_linking_i = {}
dict_key_s = {}
dict_lf_s = {}
dict_concept_s = {}
dict_node_linking_s = {}
if isinstance(instructor_directory, str):
dict_key_i = xmlParsing.process_key(instructor_directory)
dict_concept_i = xmlParsing.node(instructor_directory)
dict_lf_i = xmlParsing.lf(instructor_directory)
dict_node_linking_i.update(dict_concept_i)
dict_node_linking_i.update(dict_lf_i)
elif isinstance(instructor_directory, list):
dict_key_i = xmlParsing.process_key_many(instructor_directory)
dict_concept_i = xmlParsing.node_multiple(instructor_directory)
dict_lf_i = xmlParsing.lf_multiple(instructor_directory)
dict_node_linking_i.update(dict_concept_i)
dict_node_linking_i.update(dict_lf_i)
if isinstance(student_directory, str):
dict_key_s = xmlParsing.process_key(student_directory)
dict_concept_s = xmlParsing.node(student_directory)
dict_lf_s = xmlParsing.lf(student_directory)
dict_node_linking_s.update(dict_concept_s)
dict_node_linking_s.update(dict_lf_s)
elif isinstance(student_directory, list):
dict_key_s = xmlParsing.process_key_many(student_directory)
dict_concept_s = xmlParsing.node_multiple(student_directory)
dict_lf_s = xmlParsing.lf_multiple(student_directory)
dict_node_linking_s.update(dict_concept_s)
dict_node_linking_s.update(dict_lf_s)
num_i_node = len(dict_concept_i) + len(dict_concept_s) + len(dict_lf_i) + len(dict_lf_s)
for key, value in dict_node_linking_i.items():
if value not in list_i:
list_i.append(value)
for key, value in dict_node_linking_s.items():
if value not in list_s:
list_s.append(value)
for value_i in list_i:
for value_s in list_s:
if (root.justify(value_i, value_s)):
rt.append(value_i)
num_node = 0
num_lf = 0
num_node_list = []
num_lf_list = []
for i in rt:
if get_key_any(instructor_directory,i) in dict_concept_i:
if get_key_any(instructor_directory,i) not in num_node_list:
num_node_list.append(get_key_any(instructor_directory,i))
num_node+=1
if get_key_any(instructor_directory,i) in dict_lf_i:
if get_key_any(instructor_directory, i) not in num_lf_list:
num_lf_list.append(get_key_any(instructor_directory, i))
num_lf+=1
per_node = round((num_node/len(delete_duplicate(dict_concept_i)))*100,2)
per_lf = round((num_lf / len(delete_duplicate(dict_lf_i)))*100,2)
###
per_avg = round(((num_node+num_lf)/(len(delete_duplicate(dict_concept_i))+len(delete_duplicate(dict_lf_i))))*100,2)
result = []
for i in list_i:
if i not in rt:
if i not in result:
result.append(i)
result_final = []
for i in result:
result_final.append(get_key_any(instructor_directory,i))
return result_final, per_node, per_lf, per_avg, num_i_node