Exemple #1
0
    async def read_views(self, schema, only_modules, exclude_modules):
        tuple_views = await datasources.schema.types.fetch_tuple_views(
            self.connection,
            modules=only_modules,
            exclude_modules=exclude_modules)

        exprmap = collections.defaultdict(dict)

        for r in tuple_views:
            eltypes = self.unpack_typeref(r['element_types'], schema)

            schema, tview = s_types.TupleExprAlias.create_in_schema(
                schema,
                id=r['id'],
                name=sn.Name(r['name']),
                expr_type=s_types.ExprType(r['expr_type']),
                alias_is_persistent=r['alias_is_persistent'],
                named=r['named'],
                element_types=s_obj.ObjectDict.create(
                    schema, dict(eltypes.iter_subtypes(schema))),
            )

            exprmap[tview]['expr'] = r['expr']

        array_views = await datasources.schema.types.fetch_array_views(
            self.connection,
            modules=only_modules,
            exclude_modules=exclude_modules)

        for r in array_views:
            eltype = self.unpack_typeref(r['element_type'], schema)

            schema, tview = s_types.ArrayExprAlias.create_in_schema(
                schema,
                id=r['id'],
                name=sn.Name(r['name']),
                expr_type=s_types.ExprType(r['expr_type']),
                alias_is_persistent=r['alias_is_persistent'],
                element_type=eltype,
                dimensions=r['dimensions'],
            )

            exprmap[tview]['expr'] = r['expr']

        return schema, exprmap
Exemple #2
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    async def read_objtypes(self, schema, only_modules, exclude_modules):
        objtype_list = await datasources.schema.objtypes.fetch(
            self.connection, modules=only_modules,
            exclude_modules=exclude_modules)
        objtype_list = {sn.Name(row['name']): row for row in objtype_list}

        basemap = {}
        exprmap = {}

        for name, row in objtype_list.items():
            objtype = {
                'id': row['id'],
                'inherited_fields': self._unpack_inherited_fields(
                    row['inherited_fields']),
                'name': name,
                'is_abstract': row['is_abstract'],
                'is_final': row['is_final'],
                'expr_type': (s_types.ExprType(row['expr_type'])
                              if row['expr_type'] else None),
                'alias_is_persistent': row['alias_is_persistent'],
            }

            exprmap[name] = row['expr']

            if row['union_of']:
                union_of = [schema.get(t) for t in row['union_of']]
            else:
                union_of = None

            if row['intersection_of']:
                intersection_of = [schema.get(t)
                                   for t in row['intersection_of']]
            else:
                intersection_of = None

            schema, objtype = s_objtypes.ObjectType.create_in_schema(
                schema,
                id=objtype['id'],
                name=name,
                is_abstract=objtype['is_abstract'],
                union_of=union_of,
                intersection_of=intersection_of,
                is_final=objtype['is_final'],
                expr_type=objtype['expr_type'],
                alias_is_persistent=objtype['alias_is_persistent'],
            )

            basemap[objtype] = (row['bases'], row['ancestors'])

        for scls, (basenames, ancestors) in basemap.items():
            schema = self._set_reflist(schema, scls, 'bases', basenames)
            schema = self._set_reflist(schema, scls, 'ancestors', ancestors)

        return schema, exprmap
Exemple #3
0
    async def read_scalars(self, schema, only_modules, exclude_modules):
        seqs = await introspection.sequences.fetch(
            self.connection,
            schema_pattern='edgedb%', sequence_pattern='%_sequence')
        seqs = {(s['schema'], s['name']): s for s in seqs}

        seen_seqs = set()

        scalar_list = await datasources.schema.scalars.fetch(
            self.connection, modules=only_modules,
            exclude_modules=exclude_modules)

        basemap = {}
        exprmap = collections.defaultdict(dict)

        for row in scalar_list:
            name = sn.Name(row['name'])

            scalar_data = {
                'id': row['id'],
                'inherited_fields': self._unpack_inherited_fields(
                    row['inherited_fields']),
                'name': name,
                'is_abstract': row['is_abstract'],
                'is_final': row['is_final'],
                'expr_type': (s_types.ExprType(row['expr_type'])
                              if row['expr_type'] else None),
                'alias_is_persistent': row['alias_is_persistent'],
                'enum_values': row['enum_values'],
                'backend_id': row['backend_id'],
            }

            schema, scalar = s_scalars.ScalarType.create_in_schema(
                schema,
                **scalar_data
            )

            basemap[scalar] = (row['bases'], row['ancestors'])

            if row['default']:
                exprmap[scalar]['default'] = row['default']

            if row['expr']:
                exprmap[scalar]['expr'] = row['expr']

        for scls, (basenames, ancestors) in basemap.items():
            schema = self._set_reflist(schema, scls, 'bases', basenames)
            schema = self._set_reflist(schema, scls, 'ancestors', ancestors)

        sequence = schema.get('std::sequence', None)
        for scalar in schema.get_objects(type=s_scalars.ScalarType):
            if (sequence is not None and
                    scalar.issubclass(schema, sequence) and
                    not scalar.get_is_abstract(schema)):
                seq_name = common.get_backend_name(
                    schema, scalar, catenate=False, aspect='sequence')
                if seq_name not in seqs:
                    msg = 'internal metadata incosistency'
                    details = (f'Missing sequence for sequence '
                               f'scalar {scalar.get_name(schema)}')
                    raise errors.SchemaError(msg, details=details)
                seen_seqs.add(seq_name)

        extra_seqs = set(seqs) - seen_seqs
        if extra_seqs and not only_modules and not exclude_modules:
            msg = 'internal metadata incosistency'
            details = 'Extraneous sequences exist: {}'.format(
                ', '.join(common.qname(*t) for t in extra_seqs))
            raise errors.SchemaError(msg, details=details)

        return schema, exprmap