from imlsdatafile import IMLSDataFile
rtype = "puout"
# just playing with some sample years
for i in range(2008, 2009):
d1 = IMLSDataFile(rtype, i)
d2 = IMLSDataFile(rtype, i + 1)
s1 = d1.select_all_s("FSCSKEY")
s2 = d2.select_all_s("FSCSKEY")
diff = s1.difference(s2)
# print(diff)
print("missing from record {0}".format(i))
for i in diff:
name = d1.id_lookup(i, "LIBNAME")
city = d1.id_lookup(i, "CITY")
state = d1.id_lookup(i, "STABR")
print("{0} - {1},{2}".format(name.strip(), city.strip(), state))
# print("missing {0}-{1}: {2}".format(i,i+1,len(diff)))
if __name__ == "__main__":
print("sanity check for IMLSRecord")
fpuout = open("./data/puout/puout2009.txt",'r')
testObj = IMLSRecord(fpuout.readline(),"puout",2009)
print("puout data")
print("Print Name and address for test library")
print(testObj.lookup("libname"))
print(testObj.lookup("address"))
print(testObj.lookup("city"))
print(testObj.lookup("zip"))
fpuout.close()
print("pupld data")
df = IMLSDataFile('pupld',2009)
df.to_csv()
print("2009 csv complete")
df2 = IMLSDataFile('pupld',2008)
df2.to_csv()
print("2008 csv complete")
df3 = IMLSDataFile('pupld',2007)
df3.to_csv()
print("2007 csv complete")
df4 = IMLSDataFile('pupld',2006)
df4.to_csv()
print("2006 csv complete")
print("pusum data")