-async def convert(project_dir: Path, outfile: Path, options: Set[str]) -> None:
+
+async def convert(project_dir: Optional[Union[str, Path]],
+ outfile: Path, options: Set[str]) -> None:
""" Export an existing database to sqlite. The resulting database
will be usable against the Python frontend of Nominatim.
"""
""" Export an existing database to sqlite. The resulting database
will be usable against the Python frontend of Nominatim.
"""
async def write(self) -> None:
""" Create the database structure and copy the data from
the source database to the destination.
async def write(self) -> None:
""" Create the database structure and copy the data from
the source database to the destination.
sa.func.RecoverGeometryColumn(table.name, col.name, 4326,
col.type.subtype.upper(), 'XY')))
sa.func.RecoverGeometryColumn(table.name, col.name, 4326,
col.type.subtype.upper(), 'XY')))
async def create_class_tables(self) -> None:
""" Set up the table that serve class/type-specific geometries.
"""
async def create_class_tables(self) -> None:
""" Set up the table that serve class/type-specific geometries.
"""
sa.Column('place_id', sa.BigInteger),
sa.Column('centroid', Geometry))
sa.Column('place_id', sa.BigInteger),
sa.Column('centroid', Geometry))
async def create_word_table(self) -> None:
""" Create the word table.
This table needs the property information to determine the
async def create_word_table(self) -> None:
""" Create the word table.
This table needs the property information to determine the
data = [{'tablename': t} for t in self.dest.t.meta.tables]
await self.dest.execute(pg_tables.insert().values(data))
data = [{'tablename': t} for t in self.dest.t.meta.tables]
await self.dest.execute(pg_tables.insert().values(data))
await self.dest.execute(sa.select(
sa.func.CreateSpatialIndex(t, 'centroid')))
await self.dest.execute(sa.select(
sa.func.CreateSpatialIndex(t, 'centroid')))
async def create_spatial_index(self, table: str, column: str) -> None:
""" Create a spatial index on the given table and column.
"""
await self.dest.execute(sa.select(
sa.func.CreateSpatialIndex(getattr(self.dest.t, table).name, column)))
async def create_spatial_index(self, table: str, column: str) -> None:
""" Create a spatial index on the given table and column.
"""
await self.dest.execute(sa.select(
sa.func.CreateSpatialIndex(getattr(self.dest.t, table).name, column)))
async def create_index(self, table_name: str, column: str) -> None:
""" Create a simple index on the given table and column.
"""
async def create_index(self, table_name: str, column: str) -> None:
""" Create a simple index on the given table and column.
"""
await self.dest.connection.run_sync(
sa.Index(f"idx_{table}_{column}", getattr(table.c, column)).create)
await self.dest.connection.run_sync(
sa.Index(f"idx_{table}_{column}", getattr(table.c, column)).create)
async def create_search_index(self) -> None:
""" Create the tables and indexes needed for word lookup.
"""
async def create_search_index(self) -> None:
""" Create the tables and indexes needed for word lookup.
"""
await self.dest.connection.run_sync(
sa.Index('idx_reverse_search_name_word', rsn.c.word).create)
await self.dest.connection.run_sync(
sa.Index('idx_reverse_search_name_word', rsn.c.word).create)
def select_from(self, table: str) -> SaSelect:
""" Create the SQL statement to select the source columns and rows.
"""
def select_from(self, table: str) -> SaSelect:
""" Create the SQL statement to select the source columns and rows.
"""
columns.geometry),
else_=sa.func.ST_SimplifyPreserveTopology(
columns.geometry, 0.0001)
columns.geometry),
else_=sa.func.ST_SimplifyPreserveTopology(
columns.geometry, 0.0001)