Coverage for app/logic/volunteerSpreadsheet.py: 100%
147 statements
« prev ^ index » next coverage.py v7.10.2, created at 2026-02-26 20:38 +0000
1from os import major
2import xlsxwriter
3from peewee import fn, Case, JOIN, SQL, Select
4from collections import defaultdict
5from datetime import date, datetime,time
6from app import app
7from app.models import mainDB
8from app.models.eventParticipant import EventParticipant
9from app.models.user import User
10from app.models.program import Program
11from app.models.event import Event
12from app.models.term import Term
14### READ ME FIRST! #################################################################
15#
16# It's very important that we understand the distinction between volunteers earning
17# service hours and other things that we track in our system, like student labor,
18# bonner students, trainings, etc. The way we use 'volunteer' may not necessarily
19# be the way CELTS uses it.
20#
21####################################################################################
23def getFallTerm(academicYear):
24 return Term.get(Term.description % "Fall%", Term.academicYear == academicYear)
26def getSpringTerm(academicYear):
27 return Term.get(Term.description % "Spring%", Term.academicYear == academicYear)
30def getBaseQuery(academicYear):
32 # As we add joins to this query, watch out for duplicate participant rows being added
34 return (EventParticipant.select()
35 .join(User).switch(EventParticipant)
36 .join(Event)
37 .join(Program).switch(Event)
38 .join(Term)
39 .where(Term.academicYear == academicYear,
40 Event.deletionDate == None,
41 Event.isCanceled == False)
42 .order_by(Event.startDate))
45def getUniqueVolunteers(academicYear):
46 base = getBaseQuery(academicYear)
48 columns = ["Full Name", "Email", "B-Number"]
49 subquery = (base.select(fn.DISTINCT(EventParticipant.user_id).alias('user_id'), fn.CONCAT(User.firstName, ' ', User.lastName).alias("fullname"), User.bnumber)
50 .where(Event.isService == True)).alias('subq')
51 query = Select().from_(subquery).select(subquery.c.fullname, fn.CONCAT(subquery.c.user_id,'@berea.edu'), subquery.c.bnumber)
53 return (columns,query.tuples().execute(mainDB))
56def volunteerProgramHours(academicYear):
57 base = getBaseQuery(academicYear)
59 columns = ["Program Name", "Volunteer Hours", "Volunteer Name", "Volunteer Email", "Volunteer B-Number"]
60 query = (base.select(Program.programName,
61 fn.SUM(EventParticipant.hoursEarned),
62 fn.CONCAT(User.firstName, ' ', User.lastName),
63 fn.CONCAT(EventParticipant.user_id,'@berea.edu'),
64 User.bnumber)
65 .where(Event.isService == True)
66 .group_by(Program.programName, EventParticipant.user_id))
68 return (columns, query.tuples())
70def onlyCompletedAllVolunteer(academicYear):
71 base = getBaseQuery(academicYear)
72 base2 = getBaseQuery(academicYear)
74 columns = ["Full Name", "Email", "B-Number"]
75 subQuery = base2.select(EventParticipant.user_id).where(~Event.isAllVolunteerTraining)
77 query = (base.select(fn.CONCAT(User.firstName, ' ', User.lastName),
78 fn.CONCAT(EventParticipant.user_id,'@berea.edu'),
79 User.bnumber)
80 .where(Event.isAllVolunteerTraining, EventParticipant.user_id.not_in(subQuery)))
82 return (columns, query.tuples())
84def totalHours(academicYear):
85 base = getBaseQuery(academicYear)
87 columns = ["Total Service Hours", "Total Training Hours", "Other Participation Hours"]
88 query = base.select(fn.SUM(Case(None,((Event.isService, EventParticipant.hoursEarned),),0)),
89 fn.SUM(Case(None,((Event.isTraining, EventParticipant.hoursEarned),),0)),
90 fn.SUM(Case(None,((~Event.isService & ~Event.isTraining, EventParticipant.hoursEarned),),0)))
92 return (columns, query.tuples())
94def totalHoursByProgram(academicYear):
95 base = getBaseQuery(academicYear)
97 columns = ["Program", "Service Hours", "Training Hours", "Other Hours"]
98 query = (base.select(Program.programName,
99 fn.SUM(Case(None,((Event.isService, EventParticipant.hoursEarned),),0)),
100 fn.SUM(Case(None,((Event.isTraining, EventParticipant.hoursEarned),),0)),
101 fn.SUM(Case(None,((~Event.isService & ~Event.isTraining, EventParticipant.hoursEarned),),0)))
102 .group_by(Program.programName)
103 .order_by(Program.programName))
105 return (columns, query.tuples())
107def makeCase(fieldname):
108 return Case(fieldname,((1, "Yes"),(0, "No"),),"None")
110def getAllTermData(term):
111 base = getBaseQuery(term.academicYear)
113 columns = ["Program Name", "Event Name", "Event Description", "Event Date", "Event Start Time", "Event End Time", "Event Location",
114 "Food Provided", "Labor Only", "Training Event", "RSVP Required", "Service Event", "Engagement Event", "All Volunteer Training",
115 "RSVP Limit", "Series #", "Is Repeating Event", "Contact Name", "Contact Email",
116 "Student First Name", "Student Last Name", "Student Email", "Student B-Number", "Student Phone", "Student CPO", "Student Major", "Student Has Graduated", "Student Class Level", "Student Dietary Restrictions",
117 "Hours Earned"]
118 query = (base.select(Program.programName,Event.name, Event.description, Event.startDate, Event.timeStart, Event.timeEnd, Event.location,
119 makeCase(Event.isFoodProvided), makeCase(Event.isLaborOnly), makeCase(Event.isTraining), makeCase(Event.isRsvpRequired), makeCase(Event.isService), makeCase(Event.isEngagement), makeCase(Event.isAllVolunteerTraining),
120 Event.rsvpLimit, Event.seriesId, makeCase(Event.isRepeating), Event.contactName, Event.contactEmail,
121 User.firstName, User.lastName, fn.CONCAT(User.username,'@berea.edu'), User.bnumber, User.phoneNumber,User.cpoNumber,User.major, makeCase(User.hasGraduated), User.rawClassLevel, User.dietRestriction,
122 EventParticipant.hoursEarned)
123 .where(Event.term == term))
125 return (columns,query.tuples())
127def volunteerMajorAndClass(academicYear, column, classLevel=False):
128 base = getBaseQuery(academicYear)
130 columns = ["Major", "Count"]
131 query = (base.select(Case(None, ((column.is_null(), "Unknown"),), column), fn.COUNT(fn.DISTINCT(EventParticipant.user_id)).alias('count'))
132 .where(Event.isService == True)
133 .group_by(column))
135 if classLevel:
136 columns = ["Class Level", "Count"]
137 query = query.order_by(Case(None, ((column == "Freshman", 1),
138 (column == "Sophomore", 2),
139 (column == "Junior", 3),
140 (column == "Senior", 4),
141 (column == "Graduating", 5),
142 (column == "Non-Degree", 6),
143 (column.is_null(), 7)),
144 8))
145 else:
146 query = query.order_by(SQL("count").desc())
148 return (columns, query.tuples())
151def repeatParticipantsPerProgram(academicYear):
152 base = getBaseQuery(academicYear)
154 columns = ["Volunteer", "Program Name", "Event Count"]
155 query = (base.select(fn.CONCAT(User.firstName, " ", User.lastName).alias('fullName'),
156 Program.programName.alias("programName"),
157 fn.COUNT(EventParticipant.event_id).alias('event_count'))
158 .where(Event.isService == True)
159 .group_by(User.firstName, User.lastName, Event.program)
160 .having(fn.COUNT(EventParticipant.event_id) > 1)
161 .order_by(Event.program, User.lastName))
163 return (columns, query.tuples())
166def repeatParticipants(academicYear):
167 base = getBaseQuery(academicYear)
169 columns = ["Number of Events", "Full Name", "Email", "B-Number"]
170 query = (base.select(fn.COUNT(EventParticipant.user_id).alias('count'),
171 fn.CONCAT(User.firstName, ' ', User.lastName),
172 fn.CONCAT(EventParticipant.user_id,'@berea.edu'),
173 User.bnumber)
174 .group_by(User.firstName, User.lastName)
175 .having(fn.COUNT(EventParticipant.user_id) > 1)
176 .order_by(SQL("count").desc()))
178 return (columns, query.tuples())
181def getRetentionRate(academicYear):
182 fallParticipationDict = termParticipation(getFallTerm(academicYear))
183 springParticipationDict = termParticipation(getSpringTerm(academicYear))
185 retentionList = []
186 retentionRateDict = calculateRetentionRate(fallParticipationDict, springParticipationDict)
187 for program, retentionRate in retentionRateDict.items():
188 retentionList.append((program, str(round(retentionRate * 100, 2)) + "%"))
190 columns = ["Program", "Retention Rate"]
191 return (columns, retentionList)
194def termParticipation(term):
195 base = getBaseQuery(term.academicYear)
197 participationQuery = (base.select(Event.program, EventParticipant.user_id.alias('participant'), Program.programName.alias("programName"))
198 .where(Event.term == term)
199 .order_by(EventParticipant.user))
201 programParticipationDict = defaultdict(list)
202 for result in participationQuery.dicts():
203 programName = result['programName']
204 participant = result['participant']
205 programParticipationDict[programName].append(participant)
207 return dict(programParticipationDict)
210def removeNullParticipants(participantList):
211 return list(filter(lambda participant: participant, participantList))
214def calculateRetentionRate(fallDict, springDict):
215 retentionDict = {}
216 for program in fallDict:
217 fallParticipants = set(removeNullParticipants(fallDict[program]))
218 springParticipants = set(removeNullParticipants(springDict.get(program, [])))
219 retentionRate = 0.0
220 try:
221 retentionRate = len(fallParticipants & springParticipants) / len(fallParticipants)
222 except ZeroDivisionError:
223 pass
224 retentionDict[program] = retentionRate
226 return retentionDict
228def laborAttendanceByTerm(academicYear):
229 """Get labor students and their meeting attendance count for each term"""
230 base = getBaseQuery(academicYear)
232 query = (base.select(
233 fn.CONCAT(User.firstName, ' ', User.lastName).alias('fullName'),
234 User.bnumber,
235 fn.CONCAT(EventParticipant.user_id, '@berea.edu').alias('email'),
236 Term.description,
237 fn.COUNT(EventParticipant.event_id).alias('meetingsAttended'),
238 )
239 .where(Event.isLaborOnly == True)
240 .group_by(EventParticipant.user_id, Term.description)
241 .order_by(User.lastName, User.firstName, Term.description)
242 )
244 columns = ("Full Name", "B-Number", "Email", "Term", "Meetings Attended")
245 results = list(query.tuples())
246 return (columns, results)
250def makeDataXls(sheetName, sheetData, workbook, sheetDesc=None):
251 # assumes the length of the column titles matches the length of the data
252 (columnTitles, dataTuples) = sheetData
253 worksheet = workbook.add_worksheet(sheetName)
254 bold = workbook.add_format({'bold': True})
256 worksheet.write_string(0, 0, sheetName, bold)
257 if sheetDesc:
258 worksheet.write_string(1, 0, sheetDesc)
260 for column, title in enumerate(columnTitles):
261 worksheet.write(3, column, title, bold)
263 for row, rowData in enumerate(dataTuples):
264 for column, value in enumerate(rowData):
265 # dates and times should use their text representation
266 if isinstance(value, (datetime, date, time)):
267 value = str(value)
269 worksheet.write(row + 4, column, value)
271 # set the width to the size of the text, with a maximum of 50 characters
272 for column, title in enumerate(columnTitles):
273 # put all of the data in each column into a list
274 columnData = [title] + [rowData[column] for rowData in dataTuples]
276 # find the largest item in the list (and cut it off at 50)
277 setColumnWidth = min(max(len(str(x)) for x in columnData),50)
279 worksheet.set_column(column, column, setColumnWidth + 3)
282def createSpreadsheet(academicYear):
283 filepath = f"{app.config['files']['base_path']}/volunteer_data_{academicYear}.xlsx"
284 workbook = xlsxwriter.Workbook(filepath, {'in_memory': True})
286 makeDataXls("Total Hours", totalHours(academicYear), workbook, sheetDesc=f"All participation hours for {academicYear}.")
287 makeDataXls("Total Hours By Program", totalHoursByProgram(academicYear), workbook, sheetDesc=f"All participation hours by program for {academicYear}.")
288 makeDataXls("Program Volunteers", volunteerProgramHours(academicYear), workbook, sheetDesc="Total program service hours for each volunteer.")
289 makeDataXls("Volunteers By Major", volunteerMajorAndClass(academicYear, User.major), workbook, sheetDesc="All volunteers who participated in service events, by major.")
290 makeDataXls("Volunteers By Class Level", volunteerMajorAndClass(academicYear, User.rawClassLevel, classLevel=True), workbook, sheetDesc="All volunteers who participated in service events, by class level. Our source for this data does not seem to be particularly accurate.")
291 makeDataXls("Repeat Participants", repeatParticipants(academicYear), workbook, sheetDesc="Students who participated in multiple events, whether earning service hours or not.")
292 makeDataXls("Unique Volunteers", getUniqueVolunteers(academicYear), workbook, sheetDesc=f"All students who participated in at least one service event during {academicYear}.")
293 makeDataXls("Only All Volunteer Training", onlyCompletedAllVolunteer(academicYear), workbook, sheetDesc="Students who participated in an All Volunteer Training, but did not participate in any service events.")
294 makeDataXls("Retention Rate By Semester", getRetentionRate(academicYear), workbook, sheetDesc="The percentage of students who participated in service events in the fall semester who also participated in a service event in the spring semester. Does not currently account for fall graduations.")
295 makeDataXls("Labor Attendance By Term", laborAttendanceByTerm(academicYear), workbook, sheetDesc="Labor students and the number of labor meetings attended for each term in the academic year.")
297 fallTerm = getFallTerm(academicYear)
298 springTerm = getSpringTerm(academicYear)
299 makeDataXls(fallTerm.description, getAllTermData(fallTerm), workbook, sheetDesc= "All event participation for the term, excluding deleted or canceled events.")
300 makeDataXls(springTerm.description, getAllTermData(springTerm), workbook, sheetDesc="All event participation for the term, excluding deleted or canceled events.")
302 workbook.close()
304 return filepath