citavi_mapper/service/Citavi.py

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# -*- coding: utf-8 -*-
from sqlalchemy import create_engine, MetaData
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
class Project():
""" A helper class representing a Citavi project. """
def __init__(self, sqlite_file):
""" Constructor to get absolute path to sqlite. """
self.sqlite_file = sqlite_file
self._is_open = False
self._is_error = False
self._sa = {} # Object namespace for sqlalchemy related objects
def __del__(self):
""" Destructor to close the citavi file. """
self.close()
def is_valid(self):
""" This method returns False in case the given sqlite file is not a valid Citavi project. """
self.open()
return self._is_open and not self._is_error
def get_persons(self):
""" Returns all persons from the Citavi project. """
try:
person_class = self._sa_sqlite_autobase.classes.Person
citavi_persons = self._sa_sqlite_session.query(person_class).all()
return citavi_persons
except:
self._is_error = True
# TODO: better error handling!
print "An error occured within a get_person call!"
return False
def open(self):
""" Public method to open a citavi project file. """
if not self._is_open:
self._open()
def close(self):
""" Public method to close a citavi project file. """
if self._is_open:
self._close()
def _open(self):
""" Internal method to open a citavi project file. """
try:
self._sa_sqlite_engine = create_engine('sqlite+pysqlite:///' + self.sqlite_file)
self._sa_sqlite_session = Session(self._sa_sqlite_engine)
self._sa_sqlite_meta = MetaData(bind=self._sa_sqlite_engine)
self._sa_sqlite_meta.reflect()
self._sa_sqlite_autobase = automap_base()
self._sa_sqlite_autobase.prepare(self._sa_sqlite_engine, reflect=True)
self._is_open = True
except:
self._is_error = True
self._is_open = False
def _close(self):
""" Internal method to actually close a citavi project file. """
try:
del self._sa.sqlite_engine
del self._sa.sqlite_session
del self._sa.sqlite_meta
del self._sa.sqlite_autobase
del self._sa.sqlite_engine
self._is_open = False
except:
self._is_error = True
self._is_open = True
pass
class Mapper():
""" A class encapsulating the django models for mapping against Citavi projects. """
def __init__(self):
pass
def __del__(self):
pass
"""
def import_sqlite(project_id, sqlite_file):
print "This is import_sqlite speaking!"
print project_id
print sqlite_file
print "Importing data..."
# Initialize sqlite part
sqlite_engine = create_engine('sqlite+pysqlite:///project_import_9.ctt4', echo=True)
sqlite_session = Session(sqlite_engine)
sqlite_meta = MetaData(bind=sqlite_engine)
sqlite_meta.reflect()
# Initialize postresql part
psql_engine = create_engine("postgresql://citavi_mapper:foobar2000@localhost:5432/citavi_mapper")
psql_session = Session(psql_engine)
psql_engine.execute(CreateSchema('alchemytest')) # TODO: Catch Exception/Warning/Whatever here
psql_meta = MetaData(bind=psql_engine, schema='alchemytest')
# Reflect the origin - maybe psql_meta.reflect() is enough?
sqlite_autobase = automap_base()
sqlite_autobase.prepare(sqlite_engine, reflect=True)
# This small snippet prints python class code for sqlalchemy reflected classes
for table in sqlite_meta.sorted_tables:
table_name = str(table)
columns = table.columns.items()
print "class " + table_name + "(Base):"
print " __tablename__ = '" + table_name + "'"
print
for column_tuple in columns:
column_name = column_tuple[0]
actual_sqlalchemy_column = column_tuple[1]
column_type = str(vars(actual_sqlalchemy_column)['type'])
column_type = str(vars(actual_sqlalchemy_column)['type'])
#print table_name + "." + column_name + ': ' + column_type
print " " + column_name + " = Column(" + column_type + ")"
print
print
# Shove it up into postgresql's ... you know.
psql_meta.create_all(psql_engine)
#sqlite_meta.reflect()
#meta.tables['Reference']
#meta.tables['ReferenceAuthor'].select().execute().fetchall()
# Now we need to "convert" unsupported types :-/
for table in meta.sorted_tables:
table_name = str(table)
columns = table.columns.items()
for column_tuple in columns:
column_name = column_tuple[0]
actual_sqlalchemy_column = column_tuple[1]
column_type = str(vars(actual_sqlalchemy_column)['type'])
print table_name + "." + column_name + ': ' + column_type
print
print
"""