| 9 | | Probably the simplest type of table will be one where all the data is sent from the server to the client and no server side pagination is required. This can be set up as follows: |
| 10 | | {{{ |
| 11 | | #!div style="font-size: 80%" |
| 12 | | Controller code snippet: |
| 13 | | {{{#!python |
| 14 | | from s3.s3utils import S3DataTable |
| 15 | | # Set up the resource |
| 16 | | resource = s3db.resource("inv_warehouse") |
| 17 | | # Find out how many records are in the resource |
| 18 | | totalrows = resource.count() |
| 19 | | list_fields = ["id", |
| 20 | | "name", |
| 21 | | "organisation_id", |
| 22 | | ] |
| 23 | | # Get all the data from the resource |
| 24 | | rows = resource.select(list_fields, |
| 25 | | orderby="organisation_id", |
| 26 | | start=0, |
| 27 | | limit=totalrows, |
| 28 | | ) |
| 29 | | if rows: |
| 30 | | # Format the resource data and pass them through their default represent |
| 31 | | data = resource.extract(rows, |
| 32 | | list_fields, |
| 33 | | represent=True, |
| 34 | | ) |
| 35 | | # Get the resource fields |
| 36 | | rfields = resource.resolve_selectors(list_fields)[0] |
| 37 | | # Create the default S3DataTable |
| 38 | | dt = S3DataTable(rfields, data) |
| 39 | | # create default actions buttons for the dataTable |
| 40 | | dt.defaultActionButtons(resource) |
| 41 | | # Create the html for the dataTable |
| 42 | | warehouses = dt.html(totalrows, |
| 43 | | totalrows, |
| 44 | | "warehouse_list", |
| 45 | | dt_pagination="false", |
| 46 | | ) |
| 47 | | else: |
| 48 | | warehouses = T("No warehouses exist") |
| 49 | | }}} |
| 50 | | }}} |
| 51 | | This code gets the rows from the resource and passes the data into the S3DataTable html() function. The extra parameter of note is the dt_pagination which when set to 'false' will turn server side pagination off. All the data will be sent to the client and !DataTables will manage the filtering and sorting itself. |
| 52 | | |
| 53 | | The next stage is to build a controller that can manage pagination. To do this the controller will need to additionally manage requests from !DataTables for more data. This can be set up as follows: |
| 54 | | {{{ |
| 55 | | #!div style="font-size: 80%" |
| 56 | | Controller code snippet: |
| 57 | | {{{#!python |
| 58 | | from s3.s3utils import S3DataTable |
| 59 | | vars = request.get_vars |
| 60 | | resource = s3db.resource("inv_warehouse") |
| 61 | | # When a request is sent from DataTables it sends various information |
| 62 | | # about what data the user has requested, this includes details about |
| 63 | | # records the user wants and any sort or the filter instructions |
| 64 | | |
| 65 | | # Get the start and end details from dataTables |
| 66 | | start = int(vars.iDisplayStart) if vars.iDisplayStart else 0 |
| 67 | | limit = int(vars.iDisplayLength) if vars.iDisplayLength else s3mgr.ROWSPERPAGE |
| 68 | | totalrows = resource.count() |
| 69 | | list_fields = ["id", |
| 70 | | "name", |
| 71 | | "organisation_id", |
| 72 | | ] |
| 73 | | # Get the filter and sort instructions from dataTables |
| 74 | | rfields = resource.resolve_selectors(list_fields)[0] |
| 75 | | (orderby, filter) = S3DataTable.getControlData(rfields, request.vars) |
| 76 | | # Now set up the resource filter and find out how many row are in the filtered resource |
| 77 | | resource.add_filter(filter) |
| 78 | | filteredrows = resource.count() |
| 79 | | # Get all the data from the resource |
| 80 | | rows = resource.select(list_fields, |
| 81 | | orderby="organisation_id", |
| 82 | | start=start, |
| 83 | | limit=limit, |
| 84 | | ) |
| 85 | | if rows: |
| 86 | | data = resource.extract(rows, |
| 87 | | list_fields, |
| 88 | | represent=True, |
| 89 | | ) |
| 90 | | dt = S3DataTable(rfields, data) |
| 91 | | dt.defaultActionButtons(resource) |
| 92 | | if request.extension == "html": |
| 93 | | # Get the html for the initial call to the dataTable |
| 94 | | warehouses = dt.html(totalrows, |
| 95 | | filteredrows, |
| 96 | | "warehouse_list", |
| 97 | | ) |
| 98 | | else: |
| 99 | | # Get any subsequent request for data which will be sent back as json |
| 100 | | warehouse = dt.json(totalrows, |
| 101 | | filteredrows, |
| 102 | | "warehouse_list", |
| 103 | | int(vars.sEcho), |
| 104 | | ) |
| 105 | | return warehouse |
| 106 | | else: |
| 107 | | warehouses = T("No warehouses exist") |
| 108 | | }}} |
| 109 | | }}} |
| 110 | | Now the controller needs to manage the two standard request extensions for dataTables: html which is used for the initial table; and aaData which is used for subsequent calls. When the data is prepared for the dataTable it needs to know the total rows in the table and the number of rows that are available after filtering, the filter information is returned from dataTables and the static helper method S3DataTable.getControlData will return the filter and sort information which the user has set up. The json method requires an extra parameter the sEcho which it passes to the server itself. This value just needs to be returned back to the client. '''Note''' that the html call now no longer requires the dt_pagination parameter. |
| 111 | | |
| 112 | | == Configuring the table == |
| 113 | | === Adding action buttons === |
| 114 | | The default buttons can be expanded upon by creating a list of buttons to be added to the table. Each button is defined by a dictionary which describes the button. The dictionary can consist of the following items: |
| 115 | | ||= Item Name =||= Description =|| |
| 116 | | || label || The name that will appear on the button || |
| 117 | | || _class || The class used to display the button, typically use "action-btn" for text and "action-icon" for icons || |
| 118 | | || url || The url which will be used when the button is pressed. Use "[id]" for substituting the id of the record || |
| 119 | | || icon || Optionsal, the icon to be used in place of text || |
| 120 | | {{{ |
| 121 | | #!div style="font-size: 80%" |
| 122 | | Controller code snippet: |
| 123 | | {{{#!python |
| 124 | | from s3.s3utils import S3DataTable |
| 125 | | vars = request.get_vars |
| 126 | | resource = s3db.resource("inv_warehouse") |
| 127 | | start = int(vars.iDisplayStart) if vars.iDisplayStart else 0 |
| 128 | | limit = int(vars.iDisplayLength) if vars.iDisplayLength else s3mgr.ROWSPERPAGE |
| 129 | | totalrows = resource.count() |
| 130 | | list_fields = ["id", |
| 131 | | "name", |
| 132 | | "organisation_id", |
| 133 | | ] |
| 134 | | rfields = resource.resolve_selectors(list_fields)[0] |
| 135 | | (orderby, filter) = S3DataTable.getControlData(rfields, request.vars) |
| 136 | | resource.add_filter(filter) |
| 137 | | filteredrows = resource.count() |
| 138 | | rows = resource.select(list_fields, |
| 139 | | orderby="organisation_id", |
| 140 | | start=start, |
| 141 | | limit=limit, |
| 142 | | ) |
| 143 | | if rows: |
| 144 | | data = resource.extract(rows, |
| 145 | | list_fields, |
| 146 | | represent=True, |
| 147 | | ) |
| 148 | | dt = S3DataTable(rfields, data) |
| 149 | | dt.defaultActionButtons(resource) |
| 150 | | if request.extension == "html": |
| 151 | | custom_actions = [dict(label=str(T("Stock")), |
| 152 | | _class="action-btn", |
| 153 | | url=URL(c="inv", f="warehouse", |
| 154 | | args=["[id]", "inv_item"] |
| 155 | | ) |
| 156 | | ), |
| 157 | | ] |
| 158 | | dt.defaultActionButtons(resource, custom_actions) |
| 159 | | warehouses = dt.html(totalrows, |
| 160 | | filteredrows, |
| 161 | | "warehouse_list", |
| 162 | | ) |
| 163 | | else: |
| 164 | | warehouse = dt.json(totalrows, |
| 165 | | filteredrows, |
| 166 | | "warehouse_list", |
| 167 | | int(request.vars.sEcho), |
| 168 | | ) |
| 169 | | return warehouse |
| 170 | | else: |
| 171 | | warehouses = T("No warehouses exist") |
| 172 | | }}} |
| 173 | | }}} |
| | 4 | * see [wiki:S3/DataTable S3DataTable] |
