如何在odoo 11中根据月份分组？

问题描述

odoo 11 如何根据月份分组？

<filter string="PO Date" icon="terp-gtk-select-all" domain="[]" context="{'group_by':'order_date'}"/>

<filter string="PO Date"  domain="[]" context="{'group_by':'order_date'}"/>

尝试使用上述两种语法但不起作用

解决方法

您可以根据月份在采购订单组中执行此操作。

<group expand="0" string="Group By">
    <filter string="Order Date" domain="[]" context="{'group_by':'date_order'}"/>
</group>

,

您可以在 groupby 上专门制作 month。

示例：

<filter string="Expected Closing" context="{'group_by':'date_deadline:month'}" name="date_deadline" help="Expiration Closing Month"/>

是否也有可能实现值为 'day','week','month','quarter' or 'year'。

@api.model
def read_group(self,domain,fields,groupby,offset=0,limit=None,orderby=False,lazy=True):
    """
    Get the list of records in list view grouped by the given ``groupby`` fields
    :param domain: list specifying search criteria [['field_name','operator','value'],...]
    :param list fields: list of fields present in the list view specified on the object
    :param list groupby: list of groupby descriptions by which the records will be grouped.
            A groupby description is either a field (then it will be grouped by that field)
            or a string 'field:groupby_function'.  Right now,the only functions supported
            are 'day','quarter' or 'year',and they only make sense for
            date/datetime fields.
    :param int offset: optional number of records to skip
    :param int limit: optional max number of records to return
    :param list orderby: optional ``order by`` specification,for
                         overriding the natural sort ordering of the
                         groups,see also :py:meth:`~osv.osv.osv.search`
                         (supported only for many2one fields currently)
    :param bool lazy: if true,the results are only grouped by the first groupby and the
            remaining groupbys are put in the __context key.  If false,all the groupbys are
            done in one call.
    :return: list of dictionaries(one dictionary for each record) containing:
                * the values of fields grouped by the fields in ``groupby`` argument
                * __domain: list of tuples specifying the search criteria
                * __context: dictionary with argument like ``groupby``
    :rtype: [{'field_name_1': value,...]
    :raise AccessError: * if user has no read rights on the requested object
                        * if user tries to bypass access rules for read on the requested object
    """