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https://github.com/pgadmin-org/pgadmin4.git
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Ensure editable and read-only columns in Query Tool should be identified by icons and tooltips in the column header. Fixes #4667
This commit is contained in:
committed by
Akshay Joshi
parent
5887fb3815
commit
f8f7d5ac6f
@@ -430,40 +430,17 @@ def poll(trans_id):
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oids = {'oid': 'oid'}
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if columns_info is not None:
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# If it is a QueryToolCommand that has obj_id attribute
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# then it should also be editable
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if hasattr(trans_obj, 'obj_id') and \
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(not isinstance(trans_obj, QueryToolCommand) or
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trans_obj.can_edit()):
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# Get the template path for the column
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template_path = 'columns/sql/#{0}#'.format(
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conn.manager.version
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)
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# Only QueryToolCommand or TableCommand can be editable
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if hasattr(trans_obj, 'obj_id') and trans_obj.can_edit():
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columns = trans_obj.get_columns_types(conn)
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SQL = render_template(
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"/".join([template_path, 'nodes.sql']),
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tid=trans_obj.obj_id,
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has_oids=True
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)
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# rows with attribute not_null
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colst, rset = conn.execute_2darray(SQL)
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if not colst:
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return internal_server_error(errormsg=rset)
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for key, col in enumerate(columns_info):
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col_type = dict()
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col_type['type_code'] = col['type_code']
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col_type['type_name'] = None
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col_type['internal_size'] = col['internal_size']
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columns[col['name']] = col_type
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if rset:
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col_type['not_null'] = col['not_null'] = \
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rset['rows'][key]['not_null']
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col_type['has_default_val'] = \
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col['has_default_val'] = \
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rset['rows'][key]['has_default_val']
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else:
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for col in columns_info:
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col_type = dict()
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col_type['type_code'] = col['type_code']
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col_type['type_name'] = None
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col_type['internal_size'] = col['internal_size']
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columns[col['name']] = col_type
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if columns:
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st, types = fetch_pg_types(columns, trans_obj)
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@@ -22,6 +22,7 @@ from pgadmin.utils.driver import get_driver
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from pgadmin.tools.sqleditor.utils.is_query_resultset_updatable \
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import is_query_resultset_updatable
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from pgadmin.tools.sqleditor.utils.save_changed_data import save_changed_data
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from pgadmin.tools.sqleditor.utils.get_column_types import get_columns_types
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from config import PG_DEFAULT_DRIVER
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@@ -677,6 +678,16 @@ class TableCommand(GridCommand):
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client_primary_key=client_primary_key,
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conn=conn)
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def get_columns_types(self, conn):
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columns_info = conn.get_column_info()
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has_oids = self.has_oids()
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table_oid = self.obj_id
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return get_columns_types(conn=conn,
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columns_info=columns_info,
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has_oids=has_oids,
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table_oid=table_oid,
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is_query_tool=False)
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class ViewCommand(GridCommand):
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"""
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@@ -864,6 +875,7 @@ class QueryToolCommand(BaseCommand, FetchedRowTracker):
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self.primary_keys = None
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self.pk_names = None
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self.table_has_oids = False
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self.columns_types = None
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def get_sql(self, default_conn=None):
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return None
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@@ -874,6 +886,9 @@ class QueryToolCommand(BaseCommand, FetchedRowTracker):
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def get_primary_keys(self):
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return self.pk_names, self.primary_keys
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def get_columns_types(self, conn=None):
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return self.columns_types
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def has_oids(self):
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return self.table_has_oids
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@@ -906,8 +921,9 @@ class QueryToolCommand(BaseCommand, FetchedRowTracker):
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# Get the path to the sql templates
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sql_path = 'sqleditor/sql/#{0}#'.format(manager.version)
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self.is_updatable_resultset, self.table_has_oids, self.primary_keys, \
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pk_names, table_oid = is_query_resultset_updatable(conn, sql_path)
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self.is_updatable_resultset, self.table_has_oids,\
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self.primary_keys, pk_names, table_oid,\
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self.columns_types = is_query_resultset_updatable(conn, sql_path)
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# Create pk_names attribute in the required format
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if pk_names is not None:
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@@ -385,13 +385,13 @@ input.editor-checkbox:focus {
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/* For geometry column button */
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.div-view-geometry-column {
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.div-view-geometry-column, .editable-column-header-icon {
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float: right;
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height: 100%;
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display: flex;
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display: -webkit-flex;
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align-items: center;
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padding-right: 4px;
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padding-right: 6px;
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}
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/* For leaflet popup */
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@@ -778,6 +778,7 @@ define('tools.querytool', [
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not_null: c.not_null,
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has_default_val: c.has_default_val,
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is_array: c.is_array,
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can_edit: c.can_edit,
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};
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// Get the columns width based on longer string among data type or
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@@ -795,17 +796,17 @@ define('tools.querytool', [
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if (c.cell == 'oid' && c.name == 'oid') {
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options['editor'] = null;
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} else if (c.cell == 'Json') {
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options['editor'] = is_editable ? Slick.Editors.JsonText :
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options['editor'] = c.can_edit ? Slick.Editors.JsonText :
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Slick.Editors.ReadOnlyJsonText;
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options['formatter'] = Slick.Formatters.JsonString;
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} else if (c.cell == 'number' || c.cell == 'oid' ||
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$.inArray(c.type, ['xid', 'real']) !== -1
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) {
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options['editor'] = is_editable ? Slick.Editors.CustomNumber :
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options['editor'] = c.can_edit ? Slick.Editors.CustomNumber :
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Slick.Editors.ReadOnlyText;
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options['formatter'] = Slick.Formatters.Numbers;
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} else if (c.cell == 'boolean') {
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options['editor'] = is_editable ? Slick.Editors.Checkbox :
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options['editor'] = c.can_edit ? Slick.Editors.Checkbox :
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Slick.Editors.ReadOnlyCheckbox;
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options['formatter'] = Slick.Formatters.Checkmark;
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} else if (c.cell == 'binary') {
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@@ -814,23 +815,41 @@ define('tools.querytool', [
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} else if (c.cell == 'geometry' || c.cell == 'geography') {
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// increase width to add 'view' button
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options['width'] += 28;
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options['can_edit'] = false;
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} else {
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options['editor'] = is_editable ? Slick.Editors.pgText :
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options['editor'] = c.can_edit ? Slick.Editors.pgText :
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Slick.Editors.ReadOnlypgText;
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options['formatter'] = Slick.Formatters.Text;
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}
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if(!_.isUndefined(c.can_edit)) {
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// Increase width for editable/read-only icon
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options['width'] += 12;
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let tooltip = '';
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if(c.can_edit)
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tooltip = gettext('Editable column');
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else
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tooltip = gettext('Read-only column');
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options['toolTip'] = tooltip;
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}
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grid_columns.push(options);
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});
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var gridSelector = new GridSelector();
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grid_columns = self.grid_columns = gridSelector.getColumnDefinitions(grid_columns);
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// add 'view' button in geometry and geography type column header
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_.each(grid_columns, function (c) {
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// Add 'view' button in geometry and geography type column headers
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if (c.column_type_internal == 'geometry' || c.column_type_internal == 'geography') {
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GeometryViewer.add_header_button(c);
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}
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// Add editable/read-only icon to columns
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if (!_.isUndefined(c.can_edit)) {
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SqlEditorUtils.addEditableIcon(c, c.can_edit);
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}
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});
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if (rows_affected) {
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@@ -2634,10 +2653,11 @@ define('tools.querytool', [
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// Create columns required by slick grid to render
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_.each(colinfo, function(c) {
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var is_primary_key = false;
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var is_primary_key = false,
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is_editable = self.can_edit && (!self.is_query_tool || c.is_editable);
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// Check whether table have primary key
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if (_.size(primary_keys) > 0) {
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// Check whether this column is a primary key
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if (is_editable && _.size(primary_keys) > 0) {
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_.each(primary_keys, function(value, key) {
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if (key === c.name)
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is_primary_key = true;
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@@ -2738,7 +2758,7 @@ define('tools.querytool', [
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'pos': c.pos,
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'label': column_label,
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'cell': col_cell,
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'can_edit': (c.name == 'oid') ? false : self.can_edit,
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'can_edit': (c.name == 'oid') ? false : is_editable,
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'type': type,
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'not_null': c.not_null,
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'has_default_val': c.has_default_val,
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@@ -1,6 +1,6 @@
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{# ============= Fetch the columns ============= #}
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{% if obj_id %}
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SELECT at.attname, ty.typname
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SELECT at.attname, ty.typname, at.attnum
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FROM pg_attribute at
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LEFT JOIN pg_type ty ON (ty.oid = at.atttypid)
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WHERE attrelid={{obj_id}}::oid
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57
web/pgadmin/tools/sqleditor/utils/get_column_types.py
Normal file
57
web/pgadmin/tools/sqleditor/utils/get_column_types.py
Normal file
@@ -0,0 +1,57 @@
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##########################################################################
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#
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# pgAdmin 4 - PostgreSQL Tools
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#
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# Copyright (C) 2013 - 2019, The pgAdmin Development Team
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# This software is released under the PostgreSQL Licence
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#
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##########################################################################
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"""
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Get the column types for QueryToolCommand or TableCommand when
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the result-set is editable.
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"""
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from flask import render_template
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def get_columns_types(is_query_tool, columns_info, table_oid, conn, has_oids):
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nodes_sqlpath = 'columns/sql/#{0}#'.format(conn.manager.version)
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query = render_template(
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"/".join([nodes_sqlpath, 'nodes.sql']),
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tid=table_oid,
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has_oids=has_oids
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)
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colst, rset = conn.execute_2darray(query)
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if not colst:
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raise Exception(rset)
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column_types = dict()
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for key, col in enumerate(columns_info):
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col_type = dict()
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col_type['type_code'] = col['type_code']
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col_type['type_name'] = None
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col_type['internal_size'] = col['internal_size']
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column_types[col['name']] = col_type
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if not is_query_tool:
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col_type['not_null'] = col['not_null'] = \
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rset['rows'][key]['not_null']
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col_type['has_default_val'] = \
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col['has_default_val'] = \
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rset['rows'][key]['has_default_val']
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else:
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for row in rset['rows']:
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if row['oid'] == col['table_column']:
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col_type['not_null'] = col['not_null'] = row['not_null']
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col_type['has_default_val'] = \
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col['has_default_val'] = row['has_default_val']
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else:
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col_type['not_null'] = col['not_null'] = None
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col_type['has_default_val'] = col['has_default_val'] = None
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return column_types
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@@ -8,11 +8,18 @@
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##########################################################################
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"""
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Check if the result-set of a query is updatable, A resultset is
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updatable (as of this version) if:
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- All columns belong to the same table.
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- All the primary key columns of the table are present in the resultset
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- No duplicate columns
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Check if the result-set of a query is editable, A result-set is
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editable if:
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- All columns are either selected directly from a single table, or
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are not table columns at all (e.g. concatenation of 2 columns).
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Only columns that are selected directly from a the table are
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editable, other columns are read-only.
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- All the primary key columns or oids (if applicable) of the table are
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present in the result-set.
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Note:
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- Duplicate columns (selected twice) or renamed columns are also
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read-only.
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"""
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from flask import render_template
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from flask_babelex import gettext
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@@ -20,16 +27,18 @@ try:
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from collections import OrderedDict
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except ImportError:
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from ordereddict import OrderedDict
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from pgadmin.tools.sqleditor.utils.get_column_types import get_columns_types
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def is_query_resultset_updatable(conn, sql_path):
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"""
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This function is used to check whether the last successful query
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produced updatable results.
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produced editable results.
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Args:
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conn: Connection object.
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sql_path: the path to the sql templates.
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sql_path: the path to the sql templates
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primary_keys.sql & columns.sql.
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"""
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columns_info = conn.get_column_info()
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@@ -37,26 +46,43 @@ def is_query_resultset_updatable(conn, sql_path):
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return return_not_updatable()
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table_oid = _check_single_table(columns_info)
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if not table_oid:
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return return_not_updatable()
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if not _check_duplicate_columns(columns_info):
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if table_oid is None:
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return return_not_updatable()
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if conn.connected():
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primary_keys, pk_names = _check_primary_keys(conn=conn,
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columns_info=columns_info,
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table_oid=table_oid,
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sql_path=sql_path)
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# Get all the table columns
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table_columns = _get_table_columns(conn=conn,
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table_oid=table_oid,
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sql_path=sql_path)
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# Editable column: A column selected directly from a table, that is
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# neither renamed nor is a duplicate of another selected column
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_check_editable_columns(table_columns=table_columns,
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results_columns=columns_info)
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primary_keys, pk_names = \
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_check_primary_keys(conn=conn,
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columns_info=columns_info,
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table_oid=table_oid,
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sql_path=sql_path)
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has_oids = _check_oids(conn=conn,
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columns_info=columns_info,
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table_oid=table_oid,
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sql_path=sql_path)
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if has_oids or primary_keys is not None:
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return True, has_oids, primary_keys, pk_names, table_oid
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is_resultset_updatable = has_oids or primary_keys is not None
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if is_resultset_updatable:
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column_types = get_columns_types(columns_info=columns_info,
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table_oid=table_oid,
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conn=conn,
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has_oids=has_oids,
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is_query_tool=True)
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return True, has_oids, primary_keys, \
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pk_names, table_oid, column_types
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else:
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_set_all_columns_not_editable(columns_info=columns_info)
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return return_not_updatable()
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else:
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raise Exception(
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@@ -66,20 +92,34 @@ def is_query_resultset_updatable(conn, sql_path):
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def _check_single_table(columns_info):
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table_oid = columns_info[0]['table_oid']
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table_oid = None
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for column in columns_info:
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if column['table_oid'] != table_oid:
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# Skip columns that are not directly from tables
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if column['table_oid'] is None:
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continue
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# If we don't have a table_oid yet, store this one
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if table_oid is None:
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table_oid = column['table_oid']
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# If we already have one, check that all the columns have the same one
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elif column['table_oid'] != table_oid:
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return None
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return table_oid
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def _check_duplicate_columns(columns_info):
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column_numbers = \
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[col['table_column'] for col in columns_info]
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is_duplicate_columns = len(column_numbers) != len(set(column_numbers))
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if is_duplicate_columns:
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return False
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return True
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def _check_editable_columns(table_columns, results_columns):
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table_columns_numbers = set()
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for results_column in results_columns:
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table_column_number = results_column['table_column']
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if table_column_number is None: # Not a table column
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results_column['is_editable'] = False
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elif table_column_number in table_columns_numbers: # Duplicate
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results_column['is_editable'] = False
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elif results_column['display_name'] \
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!= table_columns[table_column_number]:
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results_column['is_editable'] = False
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else:
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results_column['is_editable'] = True
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table_columns_numbers.add(table_column_number)
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def _check_oids(conn, sql_path, table_oid, columns_info):
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@@ -111,26 +151,34 @@ def _check_primary_keys(conn, columns_info, sql_path, table_oid):
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table_oid=table_oid,
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sql_path=sql_path)
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if not _check_primary_keys_uniquely_exist(primary_keys_columns,
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columns_info):
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if not _check_all_primary_keys_exist(primary_keys_columns,
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columns_info):
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primary_keys = None
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pk_names = None
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return primary_keys, pk_names
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def _check_primary_keys_uniquely_exist(primary_keys_columns, columns_info):
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def _check_all_primary_keys_exist(primary_keys_columns, columns_info):
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"""
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Check that all primary keys exist.
|
||||
|
||||
If another column is selected with the same name as the primary key
|
||||
before the primary key (e.g SELECT some_col as pk, pk from table) the
|
||||
name of the actual primary key column gets changed to pk-2.
|
||||
This is also reversed here.
|
||||
"""
|
||||
for pk in primary_keys_columns:
|
||||
pk_exists = False
|
||||
for col in columns_info:
|
||||
if col['table_column'] == pk['column_number']:
|
||||
if col['is_editable'] and \
|
||||
col['table_column'] == pk['column_number']:
|
||||
pk_exists = True
|
||||
# If the primary key column is renamed
|
||||
if col['display_name'] != pk['name']:
|
||||
return False
|
||||
# If a normal column is renamed to a primary key column name
|
||||
elif col['display_name'] == pk['name']:
|
||||
return False
|
||||
|
||||
# If the primary key is renamed, restore to its original name
|
||||
if col['name'] != pk['name']:
|
||||
col['name'], _ = col['name'].split('-')
|
||||
# If another column is renamed to the primary key name, change it
|
||||
elif col['name'] == pk['name']:
|
||||
col['name'] += '-0'
|
||||
if not pk_exists:
|
||||
return False
|
||||
return True
|
||||
@@ -160,5 +208,26 @@ def _get_primary_keys(sql_path, table_oid, conn):
|
||||
return primary_keys, primary_keys_columns, pk_names
|
||||
|
||||
|
||||
def _get_table_columns(sql_path, table_oid, conn):
|
||||
query = render_template(
|
||||
"/".join([sql_path, 'get_columns.sql']),
|
||||
obj_id=table_oid
|
||||
)
|
||||
status, result = conn.execute_dict(query)
|
||||
if not status:
|
||||
raise Exception(result)
|
||||
|
||||
columns = {}
|
||||
for row in result['rows']:
|
||||
columns[row['attnum']] = row['attname']
|
||||
|
||||
return columns
|
||||
|
||||
|
||||
def _set_all_columns_not_editable(columns_info):
|
||||
for col in columns_info:
|
||||
col['is_editable'] = False
|
||||
|
||||
|
||||
def return_not_updatable():
|
||||
return False, False, None, None, None
|
||||
return False, False, None, None, None, None
|
||||
|
@@ -25,67 +25,109 @@ class TestQueryUpdatableResultset(BaseTestGenerator):
|
||||
scenarios = [
|
||||
('When selecting all columns of the table', dict(
|
||||
sql='SELECT * FROM %s;',
|
||||
primary_keys={
|
||||
expected_primary_keys={
|
||||
'pk_col1': 'int4',
|
||||
'pk_col2': 'int4'
|
||||
},
|
||||
expected_has_oids=False,
|
||||
table_has_oids=False
|
||||
table_has_oids=False,
|
||||
expected_cols_is_editable=[True, True, True, True]
|
||||
)),
|
||||
('When selecting all primary keys of the table', dict(
|
||||
sql='SELECT pk_col1, pk_col2 FROM %s;',
|
||||
primary_keys={
|
||||
expected_primary_keys={
|
||||
'pk_col1': 'int4',
|
||||
'pk_col2': 'int4'
|
||||
},
|
||||
expected_has_oids=False,
|
||||
table_has_oids=False
|
||||
table_has_oids=False,
|
||||
expected_cols_is_editable=[True, True]
|
||||
)),
|
||||
('When selecting some of the primary keys of the table', dict(
|
||||
sql='SELECT pk_col2 FROM %s;',
|
||||
primary_keys=None,
|
||||
expected_primary_keys=None,
|
||||
expected_has_oids=False,
|
||||
table_has_oids=False
|
||||
table_has_oids=False,
|
||||
expected_cols_is_editable=[False]
|
||||
)),
|
||||
('When selecting none of the primary keys of the table', dict(
|
||||
sql='SELECT normal_col1 FROM %s;',
|
||||
primary_keys=None,
|
||||
expected_primary_keys=None,
|
||||
expected_has_oids=False,
|
||||
table_has_oids=False
|
||||
table_has_oids=False,
|
||||
expected_cols_is_editable=[False]
|
||||
)),
|
||||
('When renaming a primary key', dict(
|
||||
sql='SELECT pk_col1 as some_col, pk_col2 FROM "%s";',
|
||||
primary_keys=None,
|
||||
expected_primary_keys=None,
|
||||
expected_has_oids=False,
|
||||
table_has_oids=False
|
||||
table_has_oids=False,
|
||||
expected_cols_is_editable=[False, False]
|
||||
)),
|
||||
('When renaming a column to a primary key name', dict(
|
||||
sql='SELECT pk_col1, pk_col2, normal_col1 as pk_col1 FROM %s;',
|
||||
primary_keys=None,
|
||||
('When renaming a normal column', dict(
|
||||
sql='SELECT pk_col1, pk_col2, normal_col1 as some_col FROM "%s";',
|
||||
expected_primary_keys={
|
||||
'pk_col1': 'int4',
|
||||
'pk_col2': 'int4'
|
||||
},
|
||||
expected_has_oids=False,
|
||||
table_has_oids=False
|
||||
table_has_oids=False,
|
||||
expected_cols_is_editable=[True, True, False]
|
||||
)),
|
||||
('When renaming a normal column to a primary key name', dict(
|
||||
sql='SELECT normal_col1 as pk_col1, pk_col1, pk_col2 FROM %s;',
|
||||
expected_primary_keys={
|
||||
'pk_col1': 'int4',
|
||||
'pk_col2': 'int4'
|
||||
},
|
||||
expected_has_oids=False,
|
||||
table_has_oids=False,
|
||||
expected_cols_is_editable=[False, True, True]
|
||||
)),
|
||||
('When selecting a normal column twice', dict(
|
||||
sql='SELECT pk_col1, pk_col2, normal_col1, normal_col1 FROM %s;',
|
||||
expected_primary_keys={
|
||||
'pk_col1': 'int4',
|
||||
'pk_col2': 'int4'
|
||||
},
|
||||
expected_has_oids=False,
|
||||
table_has_oids=False,
|
||||
expected_cols_is_editable=[True, True, True, False]
|
||||
)),
|
||||
('When selecting a non-table column', dict(
|
||||
sql='SELECT pk_col1, pk_col2, normal_col1 || normal_col2 FROM %s;',
|
||||
expected_primary_keys={
|
||||
'pk_col1': 'int4',
|
||||
'pk_col2': 'int4'
|
||||
},
|
||||
expected_has_oids=False,
|
||||
table_has_oids=False,
|
||||
expected_cols_is_editable=[True, True, False]
|
||||
)),
|
||||
('When selecting primary keys and oids (table with oids)', dict(
|
||||
sql='SELECT *, oid FROM %s;',
|
||||
primary_keys={
|
||||
expected_primary_keys={
|
||||
'pk_col1': 'int4',
|
||||
'pk_col2': 'int4'
|
||||
},
|
||||
expected_has_oids=True,
|
||||
table_has_oids=True
|
||||
table_has_oids=True,
|
||||
expected_cols_is_editable=[True, True, True, True, False]
|
||||
)),
|
||||
('When selecting oids without primary keys (table with oids)', dict(
|
||||
sql='SELECT oid, normal_col1, normal_col2 FROM %s;',
|
||||
primary_keys=None,
|
||||
expected_primary_keys=None,
|
||||
expected_has_oids=True,
|
||||
table_has_oids=True
|
||||
table_has_oids=True,
|
||||
expected_cols_is_editable=[False, True, True]
|
||||
)),
|
||||
('When selecting none of the primary keys or oids (table with oids)',
|
||||
dict(
|
||||
sql='SELECT normal_col1, normal_col2 FROM %s;',
|
||||
primary_keys=None,
|
||||
expected_primary_keys=None,
|
||||
expected_has_oids=False,
|
||||
table_has_oids=True
|
||||
table_has_oids=True,
|
||||
expected_cols_is_editable=[False, False]
|
||||
))
|
||||
]
|
||||
|
||||
@@ -99,6 +141,7 @@ class TestQueryUpdatableResultset(BaseTestGenerator):
|
||||
response_data = self._execute_select_sql()
|
||||
self._check_primary_keys(response_data)
|
||||
self._check_oids(response_data)
|
||||
self._check_editable_columns(response_data)
|
||||
|
||||
def tearDown(self):
|
||||
# Disconnect the database
|
||||
@@ -116,12 +159,18 @@ class TestQueryUpdatableResultset(BaseTestGenerator):
|
||||
|
||||
def _check_primary_keys(self, response_data):
|
||||
primary_keys = response_data['data']['primary_keys']
|
||||
self.assertEquals(primary_keys, self.primary_keys)
|
||||
self.assertEquals(primary_keys, self.expected_primary_keys)
|
||||
|
||||
def _check_oids(self, response_data):
|
||||
has_oids = response_data['data']['has_oids']
|
||||
self.assertEquals(has_oids, self.expected_has_oids)
|
||||
|
||||
def _check_editable_columns(self, response_data):
|
||||
columns_info = response_data['data']['colinfo']
|
||||
for col, expected_is_editable in \
|
||||
zip(columns_info, self.expected_cols_is_editable):
|
||||
self.assertEquals(col['is_editable'], expected_is_editable)
|
||||
|
||||
def _initialize_database_connection(self):
|
||||
database_info = parent_node_dict["database"][-1]
|
||||
self.db_name = database_info["db_name"]
|
||||
|
Reference in New Issue
Block a user