def find_next_increment(column, string, max_length=None):
"""Get the next incremented string based on `column` and `string`.
Example::
find_next_increment(Category.slug, 'category name')
"""
string = _strip_ending_nums(string)
existing = session.query(column).filter(column.like('%s%%' % string)).all()
return get_next_increment(flatten_iterator(existing), string, max_length)
def find_next_increment(column, string, max_length=None):
"""Get the next incremented string based on `column` and `string`.
Example::
find_next_increment(Category.slug, 'category name')
"""
string = _strip_ending_nums(string)
existing = session.query(column).filter(column.like('%s%%' % string)).all()
return get_next_increment(flatten_iterator(existing), string, max_length)
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from sqlalchemy_schemadisplay import create_uml_graph, create_schema_graph
from sqlalchemy.orm import class_mapper
from sqlalchemy.orm.exc import UnmappedClassError
from inyoka.core.api import db, ctx, IResource
from inyoka.utils import flatten_iterator
models = list(
flatten_iterator(
x.models for x in ctx.get_implementations(IResource, instances=True)))
# lets find all the mappers in our model
mappers = []
tables = []
for model in models:
try:
mappers.append(class_mapper(model))
tables.extend(mappers[-1].tables)
except UnmappedClassError:
continue
# pass them to the function and set some formatting options
uml = create_uml_graph(
mappers,
show_operations=False, # not necessary in this case
show_multiplicity_one=False # some people like to see the ones, some don't
)
uml.write_png('uml.png') # write out the file
schema = create_schema_graph(list(set(tables)))
def test_flatten_iterator():
eq_(list(flatten_iterator([1, [2, 3, [5, 6]], [1, 2]])),
[1, 2, 3, 5, 6, 1, 2])
eq_(tuple(flatten_iterator((1, 2, 3, 4))), (1, 2, 3, 4))
def flatten_data(data):
return {d.keys()[0]: list(flatten_iterator(d.values())) for d in data}
def test_flatten_iterator():
eq_(list(flatten_iterator([1, [2, 3, [5, 6]], [1, 2]])),
[1, 2, 3, 5, 6, 1, 2])
eq_(tuple(flatten_iterator((1, 2, 3, 4))), (1, 2, 3, 4))
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from sqlalchemy_schemadisplay import create_uml_graph, create_schema_graph
from sqlalchemy.orm import class_mapper
from sqlalchemy.orm.exc import UnmappedClassError
from inyoka.core.api import db, ctx, IResource
from inyoka.utils import flatten_iterator
models = list(flatten_iterator(x.models for x in ctx.get_implementations(IResource, instances=True)))
# lets find all the mappers in our model
mappers = []
tables = []
for model in models:
try:
mappers.append(class_mapper(model))
tables.extend(mappers[-1].tables)
except UnmappedClassError:
continue
# pass them to the function and set some formatting options
uml = create_uml_graph(mappers,
show_operations=False, # not necessary in this case
show_multiplicity_one=False # some people like to see the ones, some don't
)
uml.write_png('uml.png') # write out the file
schema = create_schema_graph(list(set(tables)))
schema.write_png('schema.png')
def flatten_data(data):
return {d.keys()[0]: list(flatten_iterator(d.values())) for d in data}
