== Configure your OpenERP server for analytic fields == By default, up to 5 analytic dimensions can be associated with an object. You can increase this number by setting an option in the configuration file: [analytic] analytic_size = 10 == Add analytic fields to a model == At the beginning of the source file, import the MetaAnalytic metaclass: from openerp.addons.analytic_structure.MetaAnalytic import MetaAnalytic Inside your Model class, define MetaAnalytic to be used as metaclass: __metaclass__ = MetaAnalytic Then, add the _analytic attribute to your class. Use the analytic fields associated with the model: _analytic = True Use analytic fields associated with another model: _analytic = 'account_move_line' Use several analytic field structures, associated with different prefixes: _analytic = { 'a': 'account_asset_asset', 't': 'account_move_line', } == Add analytic fields to a view == Analytic fields can be added to the view individually, like any other field: <field name="a1_id" /> 'a' is the prefix associated with the structure. By default, it is 'a'. '1' is the dimension's ordering as defined by the analytic structure. You can also use a div to insert every analytic field within a given structure (defined by its prefix) that wasn't explicitly placed in the view. <div class="oe_analytic" required="1" prefix="t" /> The class, oe_analytic, mark the div that will be replaced by analytic fields. The prefix can be omitted for a structure that uses the default prefix 'a'. Any other attribute will be propagated to the analytic fields. Warning: analytic fields should generally not be used inside nested sub-views. If possible, create a separate record and use the context to specify the view: <field name="order_line" colspan="4" nolabel="1" context="{ 'form_view_ref' : 'module.view_id', 'tree_view_ref' : 'model.view_id' }"/>
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i18n | ||
security | ||
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MetaAnalytic.py | ||
README | ||
__init__.py | ||
__openerp__.py | ||
analytic_code.py | ||
analytic_dimension.py | ||
analytic_dimension.xml | ||
analytic_structure.py |