def main():
outfile = open("changes_new.txt", "w")
schools_file = open("ride_schools_info.csv", "r")
schools = list(csv.DictReader(schools_file))
schools_file.close()
# schools, districts = web_scraper.getAllInfo("ride_all_schools.html")
sch_enrolls, dist_enrolls = enroll.main("enroll.csv")
schools_dict = {}
for i in web_scraper.convertAllToString(schools):
if "Public School" in i["type"]:
schools_dict[i["code"]] = i
f = open("last_year.csv", "r")
access = list(csv.DictReader(f))
f.close()
checked = set()
websites = {}
for b in schools_dict:
# if b not in checked:
# outfile.write(schools_dict[b]["name"] +
# " not in last year's database.\n")
checkGrades(schools_dict[b], sch_enrolls, outfile)
# if schools_dict[b]["url"] != "":
# schools_dict[b]["url"] = "http://" + schools_dict[b]["url"] + "/"
schools_dict[b]["url"] = fixURL(schools_dict[b]["url"])
url = schools_dict[b]["url"]
# url = "http://" + schools_dict[b]["url"]
if url not in websites:
websites[url] = 1
else:
websites[url] += 1
# url_check = checkURL(url, outfile)
# if url_check != False:
# schools_dict[b]["url"] = url_check
# else:
# outfile.write("Failure connecting to URL for " + schools_dict[b]["name"] +
# ".\n(" + url + ")\n")
schools_dict[b]["num_students"] = getTotalEnroll(schools_dict[b]["code"],
sch_enrolls, outfile)
for a in access:
ac = a["school_code"]
checked.add(ac)
try:
for prop in a:
if prop in VM:
if a[prop] != schools_dict[ac][VM[prop]]:
outfile.write(a["name_iwl"] + " has a mismatch:\n" +
"Old " + prop + ": " + a[prop] + "\n" +
"New " + prop + ": " + schools_dict[ac][VM[prop]] +
"\n")
except KeyError as e:
outfile.write("School " + ac + " missing from new data.\n")
for c in schools_dict:
if c not in checked:
outfile.write(schools_dict[c]["name"] +
" not in last year's database.\n")
for w in websites:
if websites[w] > 1:
outfile.write(w + " is listed as a website for " + str(websites[w]) +
" schools.\n")
outfile.close()
return schools_dict
def create_enroll_wind():
enroll.main(database, vid, mrcnn, gaitnet, args)
def main():
outfile = open("changes_new.txt", "w")
schools_file = open("ride_schools_info.csv", "r")
schools = list(csv.DictReader(schools_file))
schools_file.close()
# schools, districts = web_scraper.getAllInfo("ride_all_schools.html")
sch_enrolls, dist_enrolls = enroll.main("enroll.csv")
schools_dict = {}
for i in web_scraper.convertAllToString(schools):
if "Public School" in i["type"]:
schools_dict[i["code"]] = i
f = open("last_year.csv", "r")
access = list(csv.DictReader(f))
f.close()
checked = set()
websites = {}
for b in schools_dict:
# if b not in checked:
# outfile.write(schools_dict[b]["name"] +
# " not in last year's database.\n")
checkGrades(schools_dict[b], sch_enrolls, outfile)
# if schools_dict[b]["url"] != "":
# schools_dict[b]["url"] = "http://" + schools_dict[b]["url"] + "/"
schools_dict[b]["url"] = fixURL(schools_dict[b]["url"])
url = schools_dict[b]["url"]
# url = "http://" + schools_dict[b]["url"]
if url not in websites:
websites[url] = 1
else:
websites[url] += 1
# url_check = checkURL(url, outfile)
# if url_check != False:
# schools_dict[b]["url"] = url_check
# else:
# outfile.write("Failure connecting to URL for " + schools_dict[b]["name"] +
# ".\n(" + url + ")\n")
schools_dict[b]["num_students"] = getTotalEnroll(
schools_dict[b]["code"], sch_enrolls, outfile)
for a in access:
ac = a["school_code"]
checked.add(ac)
try:
for prop in a:
if prop in VM:
if a[prop] != schools_dict[ac][VM[prop]]:
outfile.write(a["name_iwl"] + " has a mismatch:\n" +
"Old " + prop + ": " + a[prop] + "\n" +
"New " + prop + ": " +
schools_dict[ac][VM[prop]] + "\n")
except KeyError as e:
outfile.write("School " + ac + " missing from new data.\n")
for c in schools_dict:
if c not in checked:
outfile.write(schools_dict[c]["name"] +
" not in last year's database.\n")
for w in websites:
if websites[w] > 1:
outfile.write(w + " is listed as a website for " +
str(websites[w]) + " schools.\n")
outfile.close()
return schools_dict
import enroll
import sys
print("*************************************")
print("*************************************")
print("To run continuous video stream: press 1")
print("To run facial recognition: press 2")
print("To add face to list of known faces: press 3")
print("To exit: press q")
print("-------------------------------------")
while True:
response = input()
if response == "1":
print("Continuous stream booting...")
server.run()
if response == "2":
print("Facial recognition booting...")
facerec.run()
if response == "3":
print("Enrollment booting...")
enroll.main()
if response == "q":
print("Shutting down...")
sys.exit()
else:
print("-------------------------------------")
print("To run continuous video stream: press 1")
print("To run facial recognition: press 2")
print("To add face to list of known faces: press 3")
print("To exit: press q")
print("-------------------------------------")
def main(NEW_FILE):
"""Calculates the stats, writes them to a CSV, returns them as a dict."""
# List of all schools
sch = [s for s in utils.getDataFromCSV(SLICE_FILE) if s["is_open"] == "Y"]
# Enrollment figures for all schools and districts
sch_enrolls, dist_enrolls = enroll.main(ENROLL_FILE)
# Schools by type
dist_schools = getSchoolsByType(sch, "Public School")
dist_charters = getSchoolsByType(sch, "District Charter School")
ind_charters = getSchoolsByType(sch, "Independent Charter School")
state_schools = getSchoolsByType(sch, "State Operated School")
reg_collabs = getSchoolsByType(sch, "Regional Collaborative")
# Students in charters
dist_ch_students = sum([int(d["num_students"]) for d in dist_charters])
ind_ch_students = sum([int(i["num_students"]) for i in ind_charters])
ch_students = dist_ch_students + ind_ch_students
# Schools by grade configuration
e = getSchoolsByConfig(sch, "Emh")
m = getSchoolsByConfig(sch, "eMh")
h = getSchoolsByConfig(sch, "emH")
em = getSchoolsByConfig(sch, "EMh")
mh = getSchoolsByConfig(sch, "eMH")
emh = getSchoolsByConfig(sch, "EMH")
# Summary stats
# (Messy variable names are that way to match the names used in past yrs)
summary = {
"School_Year":
SCHOOL_YEAR,
"Students -Total #":
dist_enrolls["00"].getTotal(),
"Students-Public E":
sum(dist_enrolls["00"].getEnrolls("PK", "5")),
"Students-Public M":
sum(dist_enrolls["00"].getEnrolls("6", "8")),
"Students-Public H":
sum(dist_enrolls["00"].getEnrolls("9", "12")),
"Students - Charter District":
dist_ch_students,
"Students-Charter Independent":
ind_ch_students,
"Students - Charter Total #":
ch_students,
"Students-Chart Total %":
toPct(float(ch_students) / float(dist_enrolls["00"].getTotal())),
"Schools-Total #":
len(sch),
"Schools-E":
len(e),
"Schools-M":
len(m),
"Schools-H":
len(h),
"Schools-EM":
len(em),
"Schools-MH":
len(mh),
"Schools-EMH":
len(emh),
"Schools-District Operated":
len(dist_schools),
"Schools-State Operated":
len(state_schools),
"Schools - Charter District":
len(dist_charters),
"Schools-Charter Independent":
len(ind_charters),
"Schools-Collaboratives":
len(reg_collabs),
"Schools-Preschools":
len([p for p in sch_enrolls if isPkOnly(sch_enrolls[p])])
}
# Past years included this preschools-only number, then later cut it
del summary["Schools-Preschools"]
writeCSV(new_csv_file, summary)
return summary
def main(NEW_FILE):
"""Calculates the stats, writes them to a CSV, returns them as a dict."""
# List of all schools
sch = [s for s in utils.getDataFromCSV(SLICE_FILE) if s["is_open"] == "Y"]
# Enrollment figures for all schools and districts
sch_enrolls, dist_enrolls = enroll.main(ENROLL_FILE)
# Schools by type
dist_schools = getSchoolsByType(sch, "Public School")
dist_charters = getSchoolsByType(sch, "District Charter School")
ind_charters = getSchoolsByType(sch, "Independent Charter School")
state_schools = getSchoolsByType(sch, "State Operated School")
reg_collabs = getSchoolsByType(sch, "Regional Collaborative")
# Students in charters
dist_ch_students = sum([int(d["num_students"]) for d in dist_charters])
ind_ch_students = sum([int(i["num_students"]) for i in ind_charters])
ch_students = dist_ch_students + ind_ch_students
# Schools by grade configuration
e = getSchoolsByConfig(sch, "Emh")
m = getSchoolsByConfig(sch, "eMh")
h = getSchoolsByConfig(sch, "emH")
em = getSchoolsByConfig(sch, "EMh")
mh = getSchoolsByConfig(sch, "eMH")
emh = getSchoolsByConfig(sch, "EMH")
# Summary stats
# (Messy variable names are that way to match the names used in past yrs)
summary = {
"School_Year": SCHOOL_YEAR,
"Students -Total #": dist_enrolls["00"].getTotal(),
"Students-Public E": sum(dist_enrolls["00"].getEnrolls("PK", "5")),
"Students-Public M": sum(dist_enrolls["00"].getEnrolls("6", "8")),
"Students-Public H": sum(dist_enrolls["00"].getEnrolls("9", "12")),
"Students - Charter District": dist_ch_students,
"Students-Charter Independent": ind_ch_students,
"Students - Charter Total #": ch_students,
"Students-Chart Total %":
toPct(float(ch_students) / float(dist_enrolls["00"].getTotal())),
"Schools-Total #": len(sch),
"Schools-E": len(e),
"Schools-M": len(m),
"Schools-H": len(h),
"Schools-EM": len(em),
"Schools-MH": len(mh),
"Schools-EMH": len(emh),
"Schools-District Operated": len(dist_schools),
"Schools-State Operated": len(state_schools),
"Schools - Charter District": len(dist_charters),
"Schools-Charter Independent": len(ind_charters),
"Schools-Collaboratives": len(reg_collabs),
"Schools-Preschools":
len([p for p in sch_enrolls if isPkOnly(sch_enrolls[p])])
}
# Past years included this preschools-only number, then later cut it
del summary["Schools-Preschools"]
writeCSV(new_csv_file, summary)
return summary