def getCoursesForField(fieldId):
course_names = []
cols = COURSES_ARRAY[fieldId]
for i in xrange(len(cols)):
tmp = CHART_DATA.loc[1:, [
corse_title_coll[i][0], corse_title_coll[i][1], cdt_course[i][0],
cdt_course[i][1], cdt_course[i][2], cdt_course[i][3], cdt_course[i]
[4], cdt_course[i][5], cdt_course[i][6], cdt_course[i][7],
cdt_course[i][8], coursefocus[i][0], coursefocus[i][1],
coursefocus[i][2], coursefocus[i][3], coursefocus[i][4],
coursefocus[i][5], coursefocus[i][6], coursefocus[i][7],
coursefocus[i][8], corse_title_coll[i][2], "Q4_1", "Q3_1_TEXT"
]]
tmp = tmp.dropna(subset=[coursefocus[i][get_No_FieldIds(fieldId)]])
tmp = tmp.fillna("0")
for row in tmp.itertuples():
create_cross_ref_map(
[fieldId, fieldId + "_C1", fieldId + "_C1_I1"], row[1],
cross_ref_dict)
f = []
for j in xrange(12, 21):
if row[j] == "1":
f.append(getNameforId(get_Fields_Ids(str(j))))
prof = ""
if row[22] == "1":
prof = row[23]
create_cross_ref_map(get_content_data(row[23]), row[1],
ultimate_cross_ref_dict)
create_cross_ref_map([row[23].lower()], row[1],
ultimate_cross_ref_names)
t = {
#"parent_id" : fieldId+"_C1_I1",
"i_type": "courses",
"i_header_text": row[1],
"i_content_text": row[2],
"i_keywords": row[21],
"i_professor": prof,
"i_focus": f
}
s = []
for i in range(3, 12):
mystr = cdt_ids[(i - 2)] + "_" + fieldId + "_C1"
if row[i] == "1":
cross_ref_cdt[mystr] = 1
s.append(mystr)
else:
if mystr not in cross_ref_cdt:
cross_ref_cdt[mystr] = 0
t['cdt'] = s
course_names.append(t)
cross_ref_size[fieldId + "_C1"] = len(course_names)
create_cross_ref_map(s, row[1], ultimate_cross_ref_cdt)
return course_names
def getProjectsForField(fieldId):
project_names = []
cols = PROJECTS_ARRAY[fieldId]
for i in xrange(len(cols)):
tmp = CHART_DATA.loc[1:,[project_title_coll[i][0],project_title_coll[i][1],cdt_project[i][0],cdt_project[i][1],
cdt_project[i][2],cdt_project[i][3],cdt_project[i][4],cdt_project[i][5],cdt_project[i][6],cdt_project[i][7],
cdt_project[i][8],projectfocus[i][0],projectfocus[i][1],projectfocus[i][2],projectfocus[i][3],projectfocus[i][4],
projectfocus[i][5],projectfocus[i][6],projectfocus[i][7],projectfocus[i][8],project_title_coll[i][2],project_title_coll[i][3],
project_title_coll[i][4],project_title_coll[i][5]]]
tmp = tmp.dropna(subset=[project_title_coll[i][0],projectfocus[i][get_No_FieldIds(fieldId)]])
tmp = tmp.fillna("0");
for row in tmp.itertuples():
create_cross_ref_map([fieldId,fieldId+"_R1",fieldId+"_R1_I1"],row[1],cross_ref_dict)
f = []
for j in xrange(12,21):
if row[j] == "1":
f.append(getNameforId(get_Fields_Ids(str(j))))
create_cross_ref_map(get_content_data(row[2]),row[1],ultimate_cross_ref_dict)
create_cross_ref_map(get_content_data(row[24]),row[1],ultimate_cross_ref_dict)
create_cross_ref_map([row[2].lower(),row[24].lower()],row[1],ultimate_cross_ref_names)
t={
#"parent_id" : fieldId+"_R1_I1",
"i_type" : "projects",
"i_header_text" : row[1],
"i_content_text" : row[2],
"i_website" : row[21],
"i_ncsu_team" : row[24],
"i_start_date" : row[22],
"i_end_date" : row[23],
"i_focus" : f
}
s = []
for i in xrange(3,12):
mystr = cdt_ids[(i-2)]+"_"+fieldId+"_R1"
if row[i] == "1" :
cross_ref_cdt[mystr] = 1
s.append(mystr)
else:
if mystr not in cross_ref_cdt:
cross_ref_cdt[mystr] = 0
t['cdt'] = s
project_names.append(t)
cross_ref_size[fieldId+"_R1"] = len(project_names)
create_cross_ref_map(s,row[1],ultimate_cross_ref_cdt)
return project_names
def getCoursesForField(fieldId):
course_names = []
cols = COURSES_ARRAY[fieldId]
for i in xrange(len(cols)):
tmp = CHART_DATA.loc[1:,[corse_title_coll[i][0],corse_title_coll[i][1],cdt_course[i][0],
cdt_course[i][1],cdt_course[i][2],cdt_course[i][3],cdt_course[i][4],cdt_course[i][5],
cdt_course[i][6],cdt_course[i][7],cdt_course[i][8],coursefocus[i][0],coursefocus[i][1],coursefocus[i][2]
,coursefocus[i][3],coursefocus[i][4],coursefocus[i][5],coursefocus[i][6],coursefocus[i][7],coursefocus[i][8]
,corse_title_coll[i][2],"Q4_1","Q3_1_TEXT"]]
tmp = tmp.dropna(subset=[coursefocus[i][get_No_FieldIds(fieldId)]])
tmp = tmp.fillna("0");
for row in tmp.itertuples():
create_cross_ref_map([fieldId,fieldId+"_C1",fieldId+"_C1_I1"],row[1],cross_ref_dict)
f = []
for j in xrange(12,21):
if row[j] == "1":
f.append(getNameforId(get_Fields_Ids(str(j))))
prof = ""
if row[22] == "1":
prof = row[23]
create_cross_ref_map(get_content_data(row[23]),row[1],ultimate_cross_ref_dict)
create_cross_ref_map([row[23].lower()],row[1],ultimate_cross_ref_names)
t = {
#"parent_id" : fieldId+"_C1_I1",
"i_type" : "courses",
"i_header_text" : row[1],
"i_content_text" : row[2],
"i_keywords" : row[21],
"i_professor": prof,
"i_focus" : f
}
s = []
for i in range(3,12):
mystr = cdt_ids[(i-2)]+"_"+fieldId+"_C1"
if row[i] == "1" :
cross_ref_cdt[mystr] = 1
s.append(mystr)
else:
if mystr not in cross_ref_cdt:
cross_ref_cdt[mystr] = 0
t['cdt'] = s
course_names.append(t)
cross_ref_size[fieldId+"_C1"] = len(course_names)
create_cross_ref_map(s,row[1],ultimate_cross_ref_cdt)
return course_names
def create_chart_data(): chartObject = WRAPPER_DATA wrap = chartObject["children"]; for field in wrap: child = field["children"] child[0]["children"][0]["content"] = sorted(getPeopleForField(field["id"]),key=lambda k: k['i_header_text']) s = len(child[0]["children"][0]["content"]) child[0]["children"][0]["size"] = s child[0]["header_text"] = getNameforId(field["id"]) child[0]["mid_text"] = "People" child[0]["content_text"] = "This survey uncovered "+str(s)+" people whose work relates to "+getNameforId(field["id"]) child[0]["children"][0]["header_text"] = getNameforId(field["id"]) child[0]["children"][0]["mid_text"] = "People" child[0]["children"][0]["content_text"] = "This survey uncovered "+str(s)+" people whose work relates to "+getNameforId(field["id"]) child[1]["children"][0]["content"] = sorted(getCoursesForField(field["id"]),key=lambda k: k['i_header_text']) s = len(child[1]["children"][0]["content"]) child[1]["children"][0]["size"] = s child[1]["header_text"] = getNameforId(field["id"]) child[1]["mid_text"] = "Courses" child[1]["content_text"] = "This survey uncovered "+str(s)+" courses exploring "+getNameforId(field["id"]) child[1]["children"][0]["header_text"] = getNameforId(field["id"]) child[1]["children"][0]["mid_text"] = "Courses" child[1]["children"][0]["content_text"] = "This survey uncovered "+str(s)+" courses exploring "+getNameforId(field["id"]) child[2]["children"][0]["content"] = sorted(getProjectsForField(field["id"]),key=lambda k: k['i_header_text']) s = len(child[2]["children"][0]["content"]) child[2]["children"][0]["size"] = s child[2]["header_text"] = getNameforId(field["id"]) child[2]["mid_text"] = "Projects" child[2]["content_text"] = "This survey uncovered "+str(s)+" current or recent projects researching "+getNameforId(field["id"]) child[2]["children"][0]["header_text"] = getNameforId(field["id"]) child[2]["children"][0]["mid_text"] = "Projects" child[2]["children"][0]["content_text"] = "This survey uncovered "+str(s)+" current or recent projects researching "+getNameforId(field["id"]) return chartObject
def getPeopleForField(fieldId):
people_names = []
col = FIELDS_ARRAY[fieldId]
tmp = CHART_DATA.loc[1:,[name_coll[0],name_coll[1],cdt_ppl[0],cdt_ppl[1],cdt_ppl[2],cdt_ppl[3],cdt_ppl[4],cdt_ppl[5],
cdt_ppl[6],cdt_ppl[7],name_coll[2],pplfocus[0],pplfocus[1],pplfocus[2],pplfocus[3],pplfocus[4],pplfocus[5],pplfocus[6],
pplfocus[7],pplfocus[8],corse_title_coll[0][0],corse_title_coll[0][1],corse_title_coll[1][0],corse_title_coll[1][1],
corse_title_coll[2][0],corse_title_coll[2][1],corse_title_coll[3][0],corse_title_coll[3][1],corse_title_coll[4][0],
corse_title_coll[4][1],project_title_coll[0][0],project_title_coll[0][1],project_title_coll[1][0],project_title_coll[1][1],
project_title_coll[2][0],project_title_coll[2][1],project_title_coll[3][0],project_title_coll[3][1],project_title_coll[4][0],
project_title_coll[4][1],name_coll[3],name_coll[4]]]
tmp = tmp.dropna(subset=[pplfocus[get_No_FieldIds(fieldId)],name_coll[0]])
tmp = tmp.fillna("0");
for row in tmp.itertuples():
create_cross_ref_map([fieldId,fieldId+"_P1",fieldId+"_P1_I1"],row[1],cross_ref_dict)
f = []
for i in xrange(12,21):
if row[i] == "1":
f.append(getNameforId(get_Fields_Ids(str(i))))
c = []
for i in xrange(21,31,2):
if row[i] != "0" :
a = {
"course_no" : row[i],
"course_title" : row[i+1]
}
c.append(a)
create_cross_ref_map(get_content_data(row[i]),row[1],ultimate_cross_ref_dict)
create_cross_ref_map([row[i].lower()],row[1],ultimate_cross_ref_names)
p = []
for i in xrange(31,41,2):
if row[i] != "0" :
b = {
"project_title" : row[i],
"project_investigator" : row[i+1]
}
p.append(b)
create_cross_ref_map(get_content_data(row[i]),row[1],ultimate_cross_ref_dict)
create_cross_ref_map([row[i].lower()],row[1],ultimate_cross_ref_names)
t={
#"parent_id" : fieldId+"_P1_I1",
"i_type" : "people",
"i_header_text" : row[1],
"i_content_text" : row[2],
"i_degree_text" : row[11],
"i_focus" : f,
"i_courses" : c,
"i_projects" : p,
"i_department": row[41],
"i_college": row[42]
}
s = []
for i in xrange(3,11):
mystr = cdt_ids[(i-2)]+"_"+fieldId+"_P1"
if row[i] == "1" :
cross_ref_cdt[mystr] = 1
s.append(mystr)
else:
if mystr not in cross_ref_cdt:
cross_ref_cdt[mystr] = 0
cross_ref_cdt["CDT9"+"_"+fieldId+"_P1"] = 0
t['cdt'] = s
people_names.append(t)
cross_ref_size[fieldId+"_P1"] = len(people_names)
create_cross_ref_map(s,row[1],ultimate_cross_ref_cdt)
return people_names
def create_chart_data():
chartObject = WRAPPER_DATA
wrap = chartObject["children"]
for field in wrap:
child = field["children"]
child[0]["children"][0]["content"] = sorted(
getPeopleForField(field["id"]), key=lambda k: k['i_header_text'])
s = len(child[0]["children"][0]["content"])
child[0]["children"][0]["size"] = s
child[0]["header_text"] = getNameforId(field["id"])
child[0]["mid_text"] = "People"
child[0]["content_text"] = "This survey uncovered " + str(
s) + " people whose work relates to " + getNameforId(field["id"])
child[0]["children"][0]["header_text"] = getNameforId(field["id"])
child[0]["children"][0]["mid_text"] = "People"
child[0]["children"][0][
"content_text"] = "This survey uncovered " + str(
s) + " people whose work relates to " + getNameforId(
field["id"])
child[1]["children"][0]["content"] = sorted(
getCoursesForField(field["id"]), key=lambda k: k['i_header_text'])
s = len(child[1]["children"][0]["content"])
child[1]["children"][0]["size"] = s
child[1]["header_text"] = getNameforId(field["id"])
child[1]["mid_text"] = "Courses"
child[1]["content_text"] = "This survey uncovered " + str(
s) + " courses exploring " + getNameforId(field["id"])
child[1]["children"][0]["header_text"] = getNameforId(field["id"])
child[1]["children"][0]["mid_text"] = "Courses"
child[1]["children"][0][
"content_text"] = "This survey uncovered " + str(
s) + " courses exploring " + getNameforId(field["id"])
child[2]["children"][0]["content"] = sorted(
getProjectsForField(field["id"]), key=lambda k: k['i_header_text'])
s = len(child[2]["children"][0]["content"])
child[2]["children"][0]["size"] = s
child[2]["header_text"] = getNameforId(field["id"])
child[2]["mid_text"] = "Projects"
child[2]["content_text"] = "This survey uncovered " + str(
s) + " current or recent projects researching " + getNameforId(
field["id"])
child[2]["children"][0]["header_text"] = getNameforId(field["id"])
child[2]["children"][0]["mid_text"] = "Projects"
child[2]["children"][0][
"content_text"] = "This survey uncovered " + str(
s) + " current or recent projects researching " + getNameforId(
field["id"])
return chartObject
def getProjectsForField(fieldId):
project_names = []
cols = PROJECTS_ARRAY[fieldId]
for i in xrange(len(cols)):
tmp = CHART_DATA.loc[1:, [
project_title_coll[i][0], project_title_coll[i][1], cdt_project[i]
[0], cdt_project[i][1], cdt_project[i][2], cdt_project[i][3],
cdt_project[i][4], cdt_project[i][5], cdt_project[i][6],
cdt_project[i][7], cdt_project[i][8], projectfocus[i][0],
projectfocus[i][1], projectfocus[i][2], projectfocus[i][3],
projectfocus[i][4], projectfocus[i][5], projectfocus[i][6],
projectfocus[i][7], projectfocus[i][8], project_title_coll[i][2],
project_title_coll[i][3], project_title_coll[i][4],
project_title_coll[i][5]
]]
tmp = tmp.dropna(subset=[
project_title_coll[i][0], projectfocus[i][get_No_FieldIds(fieldId)]
])
tmp = tmp.fillna("0")
for row in tmp.itertuples():
create_cross_ref_map(
[fieldId, fieldId + "_R1", fieldId + "_R1_I1"], row[1],
cross_ref_dict)
f = []
for j in xrange(12, 21):
if row[j] == "1":
f.append(getNameforId(get_Fields_Ids(str(j))))
create_cross_ref_map(get_content_data(row[2]), row[1],
ultimate_cross_ref_dict)
create_cross_ref_map(get_content_data(row[24]), row[1],
ultimate_cross_ref_dict)
create_cross_ref_map([row[2].lower(), row[24].lower()], row[1],
ultimate_cross_ref_names)
t = {
#"parent_id" : fieldId+"_R1_I1",
"i_type": "projects",
"i_header_text": row[1],
"i_content_text": row[2],
"i_website": row[21],
"i_ncsu_team": row[24],
"i_start_date": row[22],
"i_end_date": row[23],
"i_focus": f
}
s = []
for i in xrange(3, 12):
mystr = cdt_ids[(i - 2)] + "_" + fieldId + "_R1"
if row[i] == "1":
cross_ref_cdt[mystr] = 1
s.append(mystr)
else:
if mystr not in cross_ref_cdt:
cross_ref_cdt[mystr] = 0
t['cdt'] = s
project_names.append(t)
cross_ref_size[fieldId + "_R1"] = len(project_names)
create_cross_ref_map(s, row[1], ultimate_cross_ref_cdt)
return project_names
def getPeopleForField(fieldId):
people_names = []
col = FIELDS_ARRAY[fieldId]
tmp = CHART_DATA.loc[1:, [
name_coll[0], name_coll[1], cdt_ppl[0], cdt_ppl[1], cdt_ppl[2],
cdt_ppl[3], cdt_ppl[4], cdt_ppl[5], cdt_ppl[6], cdt_ppl[7],
name_coll[2], pplfocus[0], pplfocus[1], pplfocus[2], pplfocus[3],
pplfocus[4], pplfocus[5], pplfocus[6], pplfocus[7], pplfocus[8],
corse_title_coll[0][0], corse_title_coll[0][1], corse_title_coll[1][0],
corse_title_coll[1][1], corse_title_coll[2][0], corse_title_coll[2][1],
corse_title_coll[3][0], corse_title_coll[3][1], corse_title_coll[4][0],
corse_title_coll[4][1], project_title_coll[0][0], project_title_coll[0]
[1], project_title_coll[1][0], project_title_coll[1][1],
project_title_coll[2][0], project_title_coll[2][1], project_title_coll[
3][0], project_title_coll[3][1], project_title_coll[4][0],
project_title_coll[4][1], name_coll[3], name_coll[4]
]]
tmp = tmp.dropna(subset=[pplfocus[get_No_FieldIds(fieldId)], name_coll[0]])
tmp = tmp.fillna("0")
for row in tmp.itertuples():
create_cross_ref_map([fieldId, fieldId + "_P1", fieldId + "_P1_I1"],
row[1], cross_ref_dict)
f = []
for i in xrange(12, 21):
if row[i] == "1":
f.append(getNameforId(get_Fields_Ids(str(i))))
c = []
for i in xrange(21, 31, 2):
if row[i] != "0":
a = {"course_no": row[i], "course_title": row[i + 1]}
c.append(a)
create_cross_ref_map(get_content_data(row[i]), row[1],
ultimate_cross_ref_dict)
create_cross_ref_map([row[i].lower()], row[1],
ultimate_cross_ref_names)
p = []
for i in xrange(31, 41, 2):
if row[i] != "0":
b = {
"project_title": row[i],
"project_investigator": row[i + 1]
}
p.append(b)
create_cross_ref_map(get_content_data(row[i]), row[1],
ultimate_cross_ref_dict)
create_cross_ref_map([row[i].lower()], row[1],
ultimate_cross_ref_names)
t = {
#"parent_id" : fieldId+"_P1_I1",
"i_type": "people",
"i_header_text": row[1],
"i_content_text": row[2],
"i_degree_text": row[11],
"i_focus": f,
"i_courses": c,
"i_projects": p,
"i_department": row[41],
"i_college": row[42]
}
s = []
for i in xrange(3, 11):
mystr = cdt_ids[(i - 2)] + "_" + fieldId + "_P1"
if row[i] == "1":
cross_ref_cdt[mystr] = 1
s.append(mystr)
else:
if mystr not in cross_ref_cdt:
cross_ref_cdt[mystr] = 0
cross_ref_cdt["CDT9" + "_" + fieldId + "_P1"] = 0
t['cdt'] = s
people_names.append(t)
cross_ref_size[fieldId + "_P1"] = len(people_names)
create_cross_ref_map(s, row[1], ultimate_cross_ref_cdt)
return people_names