def _validate_geometry(geom):
if geom is not None:
simple = models.DBSession.query(func.ST_IsSimple(geom)).scalar()
if not simple:
raise TopologicalError("Not simple")
valid = models.DBSession.query(func.ST_IsValid(geom)).scalar()
if not valid:
reason = models.DBSession.query(func.ST_IsValidReason(geom)).scalar()
raise TopologicalError(reason)
def _validate_geometry(self, geom):
validate = self.settings.get("geometry_validation", False)
if validate and geom is not None:
simple = DBSession.query(func.ST_IsSimple(geom)).scalar()
if not simple:
raise TopologicalError("Not simple")
valid = DBSession.query(func.ST_IsValid(geom)).scalar()
if not valid:
reason = DBSession.query(func.ST_IsValidReason(geom)).scalar()
raise TopologicalError(reason)
def geom_invalid(table, index=None):
"""
Return DataFrame with information on records with invalid geometry.
Returned columns include record identifier, whether geometry is simple,
and reason for invalidity.
Parameters
----------
table : sqlalchemy.ext.declarative.DeclarativeMeta
Table ORM class to diagnose.
index : sqlalchemy.orm.attributes.InstrumentedAttribute, optional
Column ORM object to use as index.
Returns
-------
df : pandas.DataFrame
"""
# Build list of columns to return, including optional index.
columns = [func.ST_IsValidReason(table.geom).label('reason'),
table.geom]
if index:
columns.append(index)
# Query information on rows with invalid geometries.
with db.session() as sess:
q = sess.query(
*columns
).filter(
~table.geom.ST_IsValid()
)
# Convert query to DataFrame.
if index:
df = io.db_to_df(q, index_col=index.name)
else:
df = io.db_to_df(q)
return df