/
db_web_sync.py
executable file
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db_web_sync.py
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"""
Synchronize application's database with data from web service.
"""
import os
import re
import json
import multiprocessing
import time
import datetime
import logging
from urllib2 import urlopen, HTTPError
from manage import app, db
FORMAT = ' %(levelname)s %(asctime)-15s PID:%(process)s - %(message)s'
logging.basicConfig(level=logging.INFO, format=FORMAT, filename='sync.log')
basedir = os.path.abspath(os.path.dirname(__file__))
re_avatar_url = re.compile(r'(\/media\/foto_persone/\w/.*(.jpg|.png|.jpeg))', flags=re.I)
def add_or_update(session, model, search_key=None, **kwargs):
""" Add a model object to the database. If such object exists
for a given search key then update it.
"""
params = {search_key: kwargs[search_key]} \
if search_key in kwargs.keys() else kwargs
instance = session.query(model).filter_by(**params).first()
if instance:
logging.info('Updating "%s"' % model.__name__)
for key, value in kwargs.iteritems():
setattr(instance, key, value)
session.merge(instance)
else:
logging.info('Adding "%s"' % model.__name__)
instance = model(**kwargs)
session.add(instance)
session.commit()
return instance
def merge_degrees(json_degrees):
from app.models import Curriculum, Degree
for (i, row) in enumerate(json_degrees):
logging.info('Processing row %s of %s' % (i + 1, len(json_degrees)))
degree = add_or_update(
db.session, Degree, 'code',
code=row['CDS_COD'],
name=row['CDS_DES'],
category_code=row['TIPO_CORSO_COD'],
category_desc=row['TIPO_CORSO_DES']
)
add_or_update(
db.session, Curriculum,
code=row['PDS_COD'],
name=row['PDS_DES'],
degree=degree
)
def get_professor_avatar_url(prof_id):
url = 'http://www.unive.it/data/persone/%s' % prof_id
try:
avatar = re_avatar_url.search(urlopen(url).read())
except HTTPError as e:
logging.warning('HTTP error')
return
return 'http://www.unive.it' + avatar.group(0).replace('/', '/') if avatar else None
def merge_professors(json_professors):
from app.models import Professor
for (i, row) in enumerate(json_professors):
logging.info('Processing row %s of %s with id %s' % (
i + 1, len(json_professors), row['DOCENTE_ID']))
add_or_update(
db.session, Professor, 'id',
id=row['DOCENTE_ID'],
first_name=row['NOME'],
last_name=row['COGNOME'],
username=row['USERNAME'],
avatar_url=get_professor_avatar_url(row['DOCENTE_ID']),
email=row['MAIL'],
)
def merge_courses(json_courses):
from app.models import Course, Calendar
for (i, row) in enumerate(json_courses):
logging.info('Processing row %s of %s' % (i + 1, len(json_courses)))
calendar = add_or_update(
db.session, Calendar, 'id',
id=row['AR_ID']
)
course = add_or_update(
db.session, Course, 'id',
id=row['AF_ID'],
name=row['NOME'],
code=row['CODICE'],
period=row['CICLO'],
credit=row['PESO'],
total_credit=row['PESO_TOTALE'],
year=row['ANNO_CORSO'],
partition=row['PARTIZIONE'],
field=row['SETTORE']
)
calendar.courses.append(course)
db.session.commit()
def merge_lessons(json_lessons):
from app.models import Lesson, Classroom
date_format = '%Y-%m-%d%H:%M'
for (i, row) in enumerate(json_lessons):
logging.info('Processing row %s of %s' % (i + 1, len(json_lessons)))
classroom = Classroom.query.filter_by(code=row['AULA_ID']).first()
if classroom:
start = datetime.datetime.strptime(row['GIORNO'] + row['INIZIO'], date_format)
end = datetime.datetime.strptime(row['GIORNO'] + row['FINE'], date_format)
lesson = add_or_update(
db.session, Lesson,
start=start,
end=end,
description=row['DOCENTI'],
calendar_id=row['AR_ID'],
)
lesson.classrooms.append(classroom)
db.session.add(lesson)
db.session.commit()
else:
logging.warn('Classroom not found')
def merge_classrooms(json_classrooms):
from app.models import Classroom, Location
for (i, row) in enumerate(json_classrooms):
logging.info('Processing row %s of %s' % (i + 1, len(json_classrooms)))
location = Location.query.filter_by(code=row['SEDE_ID']).first()
if location:
classroom = add_or_update(
db.session, Classroom,
code=row['AULA_ID'],
name=row['NOME'],
capacity=row['POSTI']
)
location.classrooms.append(classroom)
db.session.commit()
else:
logging.warning('Location not found')
def merge_locations(json_locations):
from app.models import Location
for (i, row) in enumerate(json_locations):
logging.info('Processing row %s of %s' % (i + 1, len(json_locations)))
lng, lat, polyline = None, None, None
if row['COORDINATE']:
lng, lat, polyline = row['COORDINATE'].split(',')
add_or_update(
db.session, Location,
code=row['SEDE_ID'],
name=row['NOME'],
address=row['INDIRIZZO'],
lat=lat,
lng=lng,
polyline=polyline,
)
def courses_professors(json_relation):
from app.models import Course, Professor
for (i, row) in enumerate(json_relation):
logging.info('Processing row %s of %s' % (i + 1, len(json_relation)))
course = Course.query.get(row['AF_ID'])
professor = Professor.query.get(row['DOCENTE_ID'])
if course and professor:
professor.courses.append(course)
db.session.commit()
else:
logging.warning('Instance not found')
def courses_curriculums(json_relation):
from app.models import Course, Curriculum, Degree
for (i, row) in enumerate(json_relation):
logging.info('Processing row %s of %s' % (i + 1, len(json_relation)))
course = Course.query.get(row['AF_ID'])
degree = Degree.query.filter_by(code=row['CDS_COD']).first()
curriculum = Curriculum.query.filter_by(
code=row['PDS_COD'], degree=degree).first()
if course and curriculum:
curriculum.courses.append(course)
db.session.commit()
else:
logging.warning('Instance not found')
def parallel(worker, data, n_process):
"""Split data into evenly size slices and dispatch each one to
a different process.
"""
if n_process <= 1:
return worker(data)
step = len(data) / n_process
jobs = []
for i in xrange(0, len(data), step):
p = multiprocessing.Process(
target=worker, args=(data[i:i + step],))
jobs.append(p)
for p in jobs:
p.start()
for p in jobs:
p.join()
if __name__ == '__main__':
n_process = 2
baseurl = 'http://static.unive.it/sitows/didattica/'
start = time.time()
with app.app_context():
print('# Merging locations')
json_locations = json.load(urlopen((baseurl + 'sedi')))
parallel(merge_locations, json_locations, n_process)
print('# Merging classrooms')
json_classrooms = json.load(urlopen((baseurl + 'aule')))
parallel(merge_classrooms, json_classrooms, n_process)
print('# Merging professors')
json_professors = json.load(urlopen((baseurl + 'docenti')))
parallel(merge_professors, json_professors, n_process)
print('# Merging degrees and curriculums')
json_degrees = json.load(urlopen((baseurl + 'corsi')))
parallel(merge_degrees, json_degrees, n_process)
print('# Merging courses')
json_courses = json.load(urlopen((baseurl + 'insegnamenti')))
parallel(merge_courses, json_courses, n_process)
print('# Merging lessons')
json_lessons = json.load(urlopen((baseurl + 'lezioni')))
parallel(merge_lessons, json_lessons, n_process)
print('# Merging courses_curriculums')
json_relation = json.load(urlopen((baseurl + 'corsiinsegnamenti')))
parallel(courses_curriculums, json_relation, n_process)
print('# Merging courses_professors')
json_relation = json.load(urlopen((baseurl + 'insegnamentidocenti')))
parallel(courses_professors, json_relation, n_process)
print('Done in %s secs (~%s min)' % (time.time() - start, (time.time() - start) / 60))