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seed.py
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seed.py
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import model
import csv
import string
import sys
from datetime import datetime
csv.field_size_limit(sys.maxsize)
def tf_to_bool(val):
if val == "f":
return False
if val == "t":
return True
return None
def load_projects(session):
teachers = []
schools = []
with open('opendata_projects.csv', 'rb') as csvfile:
all_projects = csv.reader(csvfile, delimiter = ",")
next(all_projects)
for line in all_projects:
p = model.Project()
p.id = line[0]
p.teacher_id = line[1]
p.school_id = line[2]
p.grade_level = line[27]
p.resource_type = line[25]
p.total_price = float(line[32])
if line[34]:
p.students_reached = int(line[34])
if line[32] and line[35] and float(line[32]) != 0:
p.percent_funded = float(line[35])/float(line[32])
p.matching = tf_to_bool(line[37]) or tf_to_bool(line[38])
if line[43]:
p.date_expiration = datetime.strptime(line[43], "%Y-%m-%d")
if line[21]:
ps = model.ProjSub()
ps.project_id = line[0]
ps.subject = line[21]
ps.focus_area = line[22]
ps.primary = True
session.add(ps)
if line[23]:
ps2 = model.ProjSub()
ps2.project_id = line[0]
ps2.subject = line[23]
ps2.focus_area = line[24]
ps2.primary = False
session.add(ps2)
if line[1] not in teachers:
t = model.Teacher()
t.id = line[1]
t.school_id = line[2]
t.tfa = tf_to_bool(line[19])
t.ny_teach = tf_to_bool(line[20])
session.add(t)
teachers.append(line[1])
if line[2] not in schools:
s = model.School()
s.id = line[2]
s.nces_id = line[3]
s.latitude = float(line[4])
s.longitude = float(line[5])
s.city = line[6]
s.state = line[7]
s.zip_code = line[8]
s.metro = line[9]
s.district = line[10]
s.county = line[11]
# s.school_charter = (line[12] == "t") another way to do tf_to_bool
s.school_charter = tf_to_bool(line[12])
s.school_magnet = tf_to_bool(line[13])
s.school_year_round = tf_to_bool(line[14])
s.school_nlns = tf_to_bool(line[15])
s.school_kipp = tf_to_bool(line[16])
s.school_charter_ready_promise = tf_to_bool(line[17])
s.dc_pov = line[26]
session.add(s)
schools.append(line[2])
session.add(p)
session.commit()
def load_essays(session):
with open('opendata_essays.csv', 'rb') as csvfile:
all_essays = csv.reader(csvfile, delimiter = ",")
next(all_essays)
for line in all_essays:
query = session.query(model.Project).get(line[0])
if query:
query.short_description = line[3].decode("utf-8")
query.fulfillment_trailer = line[4].decode("utf-8")
query.synopsis = line[5].decode("utf-8")
query.title = line[2].decode("utf-8")
session.commit()
def load_donations(session):
donors = []
with open('opendata_donations.csv', 'rb') as csvfile:
all_donations = csv.reader(csvfile, delimiter = ",")
next(all_donations)
for line in all_donations:
if line[2] not in donors:
d1 = model.Donor()
d1.id = line[2]
d1.city = line[4]
d1.state = line[5]
d1.zip_code = line[6]
d1.is_teacher = tf_to_bool(line[7])
donors.append(line[2])
d2 = model.Donation()
d2.id = line[0]
d2.project_id = line[1]
d2.donor_id = line[2]
d2.donation_to_project = float(line[9])
d2.donation_optional_support = float(line[10])
d2.used_acct_credit = tf_to_bool(line[15])
d2.used_campaign_gift_card = tf_to_bool(line[16])
d2.used_web_purchased_gift_card = tf_to_bool(line[17])
d2.payment_was_promo_matched = tf_to_bool(line[18])
d2.via_giving_page = tf_to_bool(line[19])
d2.for_honoree = tf_to_bool(line[20])
session.add(d1)
session.add(d2)
print "ok"
session.commit()
def load_poverty_levels(session):
with open('pov_levels.csv', 'rb') as csvfile:
all_pov_levels = csv.reader(csvfile, delimiter = ",")
for line in all_pov_levels:
query = session.query(model.School).filter_by(zip_code=line[0]).all()
poverty_level = float(line[1])
for school in query:
school.pov_level = poverty_level
session.commit()
def load_clusters(session):
with open('k_clusters.csv', 'rb') as csvfile:
all_clusters = csv.reader(csvfile, delimiter=",")
for line in all_clusters:
c = model.Cluster()
c.cluster_num = line[0]
c.project_id = line[1]
session.add(c)
session.commit()
def main(session):
# You'll call each of the load_* functions with the session as an argument
# load_projects(session)
# load_essays(session)
# load_donations(session)
# load_poverty_levels(session)
load_clusters(session)
if __name__ == "__main__":
s= model.session
main(s)