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# -*- coding: utf-8 -*-
# © 2014-2016 ACSONE SA/NV (<http://acsone.eu>)
# License AGPL-3.0 or later (https://www.gnu.org/licenses/agpl.html).
from collections import defaultdict, OrderedDict
import datetime
import dateutil
from itertools import izip
import logging
import re
import time
import pytz
from openerp import api, fields, models, _
from openerp.exceptions import UserError
from openerp.tools.safe_eval import safe_eval
from .aep import AccountingExpressionProcessor as AEP
from .aggregate import _sum, _avg, _min, _max
from .accounting_none import AccountingNone
from .simple_array import SimpleArray
from .mis_safe_eval import mis_safe_eval, DataError
from .mis_report_style import (
TYPE_NUM, TYPE_PCT, TYPE_STR, CMP_DIFF, CMP_PCT, CMP_NONE
)
_logger = logging.getLogger(__name__)
class AutoStruct(object):
def __init__(self, **kwargs):
for k, v in kwargs.items():
setattr(self, k, v)
class KpiMatrixRow(object):
# TODO: ultimately, the kpi matrix will become ignorant of KPI's and
# accounts and know about rows, columns, sub columns and styles only.
# It is already ignorant of period and only knowns about columns.
# This will require a correct abstraction for expanding row details.
def __init__(self, matrix, kpi, account_id=None, parent_row=None):
self._matrix = matrix
self.kpi = kpi
self.account_id = account_id
self.comment = ''
self.parent_row = parent_row
if not self.account_id:
self.style_props = self._matrix._style_model.merge([
self.kpi.report_id.style_id,
self.kpi.style_id])
else:
self.style_props = self._matrix._style_model.merge([
self.kpi.report_id.style_id,
self.kpi.auto_expand_accounts_style_id])
@property
def description(self):
if not self.account_id:
return self.kpi.description
else:
return self._matrix.get_account_name(self.account_id)
@property
def row_id(self):
if not self.account_id:
return self.kpi.name
else:
return '{}:{}'.format(self.kpi.name, self.account_id)
def iter_cell_tuples(self, cols=None):
if cols is None:
cols = self._matrix.iter_cols()
for col in cols:
yield col.get_cell_tuple_for_row(self)
def iter_cells(self, subcols=None):
if subcols is None:
subcols = self._matrix.iter_subcols()
for subcol in subcols:
yield subcol.get_cell_for_row(self)
class KpiMatrixCol(object):
def __init__(self, description, comment, locals_dict, subkpis):
self.description = description
self.comment = comment
self.locals_dict = locals_dict
self.colspan = subkpis and len(subkpis) or 1
self._subcols = []
self.subkpis = subkpis
if not subkpis:
subcol = KpiMatrixSubCol(self, '', '', 0)
self._subcols.append(subcol)
else:
for i, subkpi in enumerate(subkpis):
subcol = KpiMatrixSubCol(self, subkpi.description, '', i)
self._subcols.append(subcol)
self._cell_tuples_by_row = {} # {row: (cells tuple)}
def _set_cell_tuple(self, row, cell_tuple):
self._cell_tuples_by_row[row] = cell_tuple
def iter_subcols(self):
return self._subcols
def iter_cell_tuples(self):
return self._cells_by_row.values()
def get_cell_tuple_for_row(self, row):
return self._cell_tuples_by_row.get(row)
class KpiMatrixSubCol(object):
def __init__(self, col, description, comment, index=0):
self.col = col
self.description = description
self.comment = comment
self.index = index
@property
def subkpi(self):
if self.col.subkpis:
return self.col.subkpis[self.index]
def iter_cells(self):
for cell_tuple in self.col.iter_cell_tuples():
yield cell_tuple[self.index]
def get_cell_for_row(self, row):
cell_tuple = self.col.get_cell_tuple_for_row(row)
if cell_tuple is None:
return None
return cell_tuple[self.index]
class KpiMatrixCell(object):
def __init__(self, row, subcol,
val, val_rendered, val_comment,
style_props,
drilldown_arg):
self.row = row
self.subcol = subcol
self.val = val
self.val_rendered = val_rendered
self.val_comment = val_comment
self.style_props = style_props
self.drilldown_arg = drilldown_arg
class KpiMatrix(object):
def __init__(self, env):
# cache language id for faster rendering
lang_model = env['res.lang']
lang_id = lang_model._lang_get(env.user.lang)
self.lang = lang_model.browse(lang_id)
self._style_model = env['mis.report.style']
self._account_model = env['account.account']
# data structures
# { kpi: KpiMatrixRow }
self._kpi_rows = OrderedDict()
# { kpi: {account_id: KpiMatrixRow} }
self._detail_rows = {}
# { col_key: KpiMatrixCol }
self._cols = OrderedDict()
# { col_key (left of comparison): [(col_key, base_col_key)] }
self._comparison_todo = defaultdict(list)
self._comparison_cols = defaultdict(list)
# { account_id: account_name }
self._account_names = {}
def declare_kpi(self, kpi):
""" Declare a new kpi (row) in the matrix.
Invoke this first for all kpi, in display order.
"""
self._kpi_rows[kpi] = KpiMatrixRow(self, kpi)
self._detail_rows[kpi] = {}
def declare_col(self, col_key, description, comment,
locals_dict, subkpis):
""" Declare a new column, giving it an identifier (key).
Invoke this and declare_comparison in display order.
"""
self._cols[col_key] = KpiMatrixCol(description, comment,
locals_dict, subkpis)
def declare_comparison(self, col_key, base_col_key):
""" Declare a new comparison column.
Invoke this and declare_col in display order.
"""
last_col_key = list(self._cols.keys())[-1]
self._comparison_todo[last_col_key].append(
(col_key, base_col_key))
def set_values(self, kpi, col_key, vals,
drilldown_args):
""" Set values for a kpi and a colum.
Invoke this after declaring the kpi and the column.
"""
self.set_values_detail_account(kpi, col_key, None, vals,
drilldown_args)
def set_values_detail_account(self, kpi, col_key, account_id, vals,
drilldown_args):
""" Set values for a kpi and a column and a detail account.
Invoke this after declaring the kpi and the column.
"""
if not account_id:
row = self._kpi_rows[kpi]
else:
kpi_row = self._kpi_rows[kpi]
if account_id in self._detail_rows[kpi]:
row = self._detail_rows[kpi][account_id]
else:
row = KpiMatrixRow(self, kpi, account_id, parent_row=kpi_row)
self._detail_rows[kpi][account_id] = row
col = self._cols[col_key]
cell_tuple = []
assert len(vals) == col.colspan
for val, drilldown_arg, subcol in \
izip(vals, drilldown_args, col.iter_subcols()):
if isinstance(val, DataError):
val_rendered = val.name
val_comment = val.msg
else:
val_rendered = self._style_model.render(
self.lang, row.style_props, kpi.type, val)
if subcol.subkpi:
val_comment = u'{}.{} = {}'.format(
row.kpi.name,
subcol.subkpi.name,
row.kpi.get_expression_for_subkpi(subcol.subkpi))
else:
val_comment = u'{} = {}'.format(
row.kpi.name,
row.kpi.expression)
cell_style_props = row.style_props
if row.kpi.style_expression:
# evaluate style expression
try:
style_name = mis_safe_eval(row.kpi.style_expression,
col.locals_dict)
except:
_logger.error("Error evaluating style expression <%s>",
row.kpi.style_expression, exc_info=True)
if style_name:
style = self._style_model.search(
[('name', '=', style_name)])
if style:
cell_style_props = self._style_model.merge(
[row.style_props, style[0]])
else:
_logger.error("Style '%s' not found.", style_name)
cell = KpiMatrixCell(row, subcol, val, val_rendered, val_comment,
cell_style_props, drilldown_arg)
cell_tuple.append(cell)
col._set_cell_tuple(row, cell_tuple)
def compute_comparisons(self):
""" Compute comparisons.
Invoke this after setting all values.
"""
for pos_col_key, comparisons in self._comparison_todo.items():
for col_key, base_col_key in comparisons:
col = self._cols[col_key]
base_col = self._cols[base_col_key]
common_subkpis = set(col.subkpis) & set(base_col.subkpis)
if not common_subkpis:
raise UserError('Columns {} and {} are not comparable'.
format(col.description,
base_col.description))
description = u'{} vs {}'.\
format(col.description, base_col.description)
comparison_col = KpiMatrixCol(description, None, {},
sorted(common_subkpis,
key=lambda s: s.sequence))
for row in self.iter_rows():
cell_tuple = col.get_cell_tuple_for_row(row)
base_cell_tuple = base_col.get_cell_tuple_for_row(row)
if cell_tuple is None and base_cell_tuple is None:
continue
if cell_tuple is None:
vals = [AccountingNone] * len(common_subkpis)
else:
vals = [cell.val for cell in cell_tuple
if cell.subcol.subkpi in common_subkpis]
if base_cell_tuple is None:
base_vals = [AccountingNone] * len(common_subkpis)
else:
base_vals = [cell.val for cell in base_cell_tuple
if cell.subcol.subkpi in common_subkpis]
comparison_cell_tuple = []
for val, base_val, comparison_subcol in \
izip(vals,
base_vals,
comparison_col.iter_subcols()):
# TODO FIXME average factors
delta, delta_r, style_r = \
self._style_model.compare_and_render(
self.lang, row.style_props,
row.kpi.type, row.kpi.compare_method,
val, base_val, 1, 1)
comparison_cell_tuple.append(KpiMatrixCell(
row, comparison_subcol, delta, delta_r, None,
style_r, None))
comparison_col._set_cell_tuple(row, comparison_cell_tuple)
self._comparison_cols[pos_col_key].append(comparison_col)
def iter_rows(self):
""" Iterate rows in display order.
yields KpiMatrixRow.
"""
for kpi_row in self._kpi_rows.values():
yield kpi_row
detail_rows = self._detail_rows[kpi_row.kpi].values()
detail_rows = sorted(detail_rows, key=lambda r: r.description)
for detail_row in detail_rows:
yield detail_row
def iter_cols(self):
""" Iterate columns in display order.
yields KpiMatrixCol: one for each column or comparison.
"""
for col_key, col in self._cols.items():
yield col
for comparison_col in self._comparison_cols[col_key]:
yield comparison_col
def iter_subcols(self):
""" Iterate sub columns in display order.
yields KpiMatrixSubCol: one for each subkpi in each column
and comparison.
"""
for col in self.iter_cols():
for subcol in col.iter_subcols():
yield subcol
def _load_account_names(self):
account_ids = set()
for detail_rows in self._detail_rows.values():
account_ids.update(detail_rows.keys())
account_ids = list(account_ids)
accounts = self._account_model.search([('id', 'in', account_ids)])
self._account_names = {a.id: u'{} {}'.format(a.code, a.name)
for a in accounts}
def get_account_name(self, account_id):
if account_id not in self._account_names:
self._load_account_names()
return self._account_names[account_id]
def as_dict(self):
header = [{'cols': []}, {'cols': []}]
for col in self.iter_cols():
header[0]['cols'].append({
'description': col.description,
'comment': col.comment,
'colspan': col.colspan,
})
for subcol in col.iter_subcols():
header[1]['cols'].append({
'description': subcol.description,
'comment': subcol.comment,
'colspan': 1,
})
content = []
for row in self.iter_rows():
row_data = {
'row_id': row.row_id,
'parent_row_id': (row.parent_row and
row.parent_row.row_id or None),
'description': row.description,
'comment': row.comment,
'style': self._style_model.to_css_style(
row.style_props),
'cols': []
}
for cell in row.iter_cells():
if cell is None:
# TODO use subcol style here
row_data['cols'].append({})
else:
col_data = {
'val': (cell.val
if cell.val is not AccountingNone else None),
'val_r': cell.val_rendered,
'val_c': cell.val_comment,
'style': self._style_model.to_css_style(
cell.style_props),
}
if cell.drilldown_arg:
col_data['drilldown_arg'] = cell.drilldown_arg
row_data['cols'].append(col_data)
content.append(row_data)
return {
'header': header,
'content': content,
}
def _utc_midnight(d, tz_name, add_day=0):
d = fields.Datetime.from_string(d) + datetime.timedelta(days=add_day)
utc_tz = pytz.timezone('UTC')
context_tz = pytz.timezone(tz_name)
local_timestamp = context_tz.localize(d, is_dst=False)
return fields.Datetime.to_string(local_timestamp.astimezone(utc_tz))
def _python_var(var_str):
return re.sub(r'\W|^(?=\d)', '_', var_str).lower()
def _is_valid_python_var(name):
return re.match("[_A-Za-z][_a-zA-Z0-9]*$", name)
class MisReportKpi(models.Model):
""" A KPI is an element (ie a line) of a MIS report.
In addition to a name and description, it has an expression
to compute it based on queries defined in the MIS report.
It also has various informations defining how to render it
(numeric or percentage or a string, a prefix, a suffix, divider) and
how to render comparison of two values of the KPI.
KPI's have a sequence and are ordered inside the MIS report.
"""
_name = 'mis.report.kpi'
name = fields.Char(size=32, required=True,
string='Name')
description = fields.Char(required=True,
string='Description',
translate=True)
multi = fields.Boolean()
expression = fields.Char(
compute='_compute_expression',
inverse='_inverse_expression')
expression_ids = fields.One2many('mis.report.kpi.expression', 'kpi_id')
auto_expand_accounts = fields.Boolean(string='Display details by account')
auto_expand_accounts_style_id = fields.Many2one(
string="Style for account detail rows",
comodel_name="mis.report.style",
required=False
)
style_id = fields.Many2one(
string="Style",
comodel_name="mis.report.style",
required=False
)
style_expression = fields.Char(
string='Style expression',
help='An expression that returns a style depending on the KPI value. '
'Such style is applied on top of the row style.')
type = fields.Selection([(TYPE_NUM, _('Numeric')),
(TYPE_PCT, _('Percentage')),
(TYPE_STR, _('String'))],
required=True,
string='Value type',
default=TYPE_NUM)
compare_method = fields.Selection([(CMP_DIFF, _('Difference')),
(CMP_PCT, _('Percentage')),
(CMP_NONE, _('None'))],
required=True,
string='Comparison Method',
default=CMP_PCT)
sequence = fields.Integer(string='Sequence', default=100)
report_id = fields.Many2one('mis.report',
string='Report',
ondelete='cascade')
_order = 'sequence, id'
@api.one
@api.constrains('name')
def _check_name(self):
if not _is_valid_python_var(self.name):
raise UserError(_('The name must be a valid python identifier'))
@api.onchange('name')
def _onchange_name(self):
if self.name and not _is_valid_python_var(self.name):
return {
'warning': {
'title': 'Invalid name %s' % self.name,
'message': 'The name must be a valid python identifier'
}
}
@api.multi
def _compute_expression(self):
for kpi in self:
l = []
for expression in kpi.expression_ids:
if expression.subkpi_id:
l.append(u'{}\xa0=\xa0{}'.format(
expression.subkpi_id.name, expression.name))
else:
l.append(
expression.name or 'AccountingNone')
kpi.expression = ',\n'.join(l)
@api.multi
def _inverse_expression(self):
for kpi in self:
if kpi.multi:
raise UserError('Can not update a multi kpi from the kpi line')
if kpi.expression_ids:
kpi.expression_ids[0].write({
'name': kpi.expression,
'subkpi_id': None})
for expression in kpi.expression_ids[1:]:
expression.unlink()
else:
kpi.write({
'expression_ids': [(0, 0, {
'name': kpi.expression
})]
})
@api.onchange('multi')
def _onchange_multi(self):
for kpi in self:
if not kpi.multi:
if kpi.expression_ids:
kpi.expression = kpi.expression_ids[0].name
else:
kpi.expression = None
else:
expressions = []
for subkpi in kpi.report_id.subkpi_ids:
expressions.append((0, 0, {
'name': kpi.expression,
'subkpi_id': subkpi.id,
}))
kpi.expression_ids = expressions
@api.onchange('description')
def _onchange_description(self):
""" construct name from description """
if self.description and not self.name:
self.name = _python_var(self.description)
@api.onchange('type')
def _onchange_type(self):
if self.type == TYPE_NUM:
self.compare_method = CMP_PCT
elif self.type == TYPE_PCT:
self.compare_method = CMP_DIFF
elif self.type == TYPE_STR:
self.compare_method = CMP_NONE
def get_expression_for_subkpi(self, subkpi):
for expression in self.expression_ids:
if expression.subkpi_id == subkpi:
return expression.name
class MisReportSubkpi(models.Model):
_name = 'mis.report.subkpi'
_order = 'sequence'
sequence = fields.Integer()
report_id = fields.Many2one('mis.report')
name = fields.Char(size=32, required=True,
string='Name')
description = fields.Char(required=True,
string='Description',
translate=True)
expression_ids = fields.One2many('mis.report.kpi.expression', 'subkpi_id')
@api.one
@api.constrains('name')
def _check_name(self):
if not _is_valid_python_var(self.name):
raise UserError(_('The name must be a valid python identifier'))
@api.onchange('name')
def _onchange_name(self):
if self.name and not _is_valid_python_var(self.name):
return {
'warning': {
'title': 'Invalid name %s' % self.name,
'message': 'The name must be a valid python identifier'
}
}
@api.onchange('description')
def _onchange_description(self):
""" construct name from description """
if self.description and not self.name:
self.name = _python_var(self.description)
@api.multi
def unlink(self):
for subkpi in self:
subkpi.expression_ids.unlink()
return super(MisReportSubkpi, self).unlink()
class MisReportKpiExpression(models.Model):
""" A KPI Expression is an expression of a line of a MIS report Kpi.
It's used to compute the kpi value.
"""
_name = 'mis.report.kpi.expression'
_order = 'sequence, name'
sequence = fields.Integer(
related='subkpi_id.sequence',
store=True,
readonly=True)
name = fields.Char(string='Expression')
kpi_id = fields.Many2one('mis.report.kpi')
# TODO FIXME set readonly=True when onchange('subkpi_ids') below works
subkpi_id = fields.Many2one(
'mis.report.subkpi',
readonly=False)
_sql_constraints = [
('subkpi_kpi_unique', 'unique(subkpi_id, kpi_id)',
'Sub KPI must be used once and only once for each KPI'),
]
class MisReportQuery(models.Model):
""" A query to fetch arbitrary data for a MIS report.
A query works on a model and has a domain and list of fields to fetch.
At runtime, the domain is expanded with a "and" on the date/datetime field.
"""
_name = 'mis.report.query'
@api.one
@api.depends('field_ids')
def _compute_field_names(self):
field_names = [field.name for field in self.field_ids]
self.field_names = ', '.join(field_names)
name = fields.Char(size=32, required=True,
string='Name')
model_id = fields.Many2one('ir.model', required=True,
string='Model')
field_ids = fields.Many2many('ir.model.fields', required=True,
string='Fields to fetch')
field_names = fields.Char(compute='_compute_field_names',
string='Fetched fields name')
aggregate = fields.Selection([('sum', _('Sum')),
('avg', _('Average')),
('min', _('Min')),
('max', _('Max'))],
string='Aggregate')
date_field = fields.Many2one('ir.model.fields', required=True,
string='Date field',
domain=[('ttype', 'in',
('date', 'datetime'))])
domain = fields.Char(string='Domain')
report_id = fields.Many2one('mis.report', string='Report',
ondelete='cascade')
_order = 'name'
@api.one
@api.constrains('name')
def _check_name(self):
if not _is_valid_python_var(self.name):
raise UserError(_('The name must be a valid python identifier'))
class MisReport(models.Model):
""" A MIS report template (without period information)
The MIS report holds:
* a list of explicit queries; the result of each query is
stored in a variable with same name as a query, containing as list
of data structures populated with attributes for each fields to fetch;
when queries have an aggregate method and no fields to group, it returns
a data structure with the aggregated fields
* a list of KPI to be evaluated based on the variables resulting
from the accounting data and queries (KPI expressions can references
queries and accounting expression - see AccoutingExpressionProcessor)
"""
_name = 'mis.report'
name = fields.Char(required=True,
string='Name', translate=True)
description = fields.Char(required=False,
string='Description', translate=True)
style_id = fields.Many2one(string="Style",
comodel_name="mis.report.style")
query_ids = fields.One2many('mis.report.query', 'report_id',
string='Queries',
copy=True)
kpi_ids = fields.One2many('mis.report.kpi', 'report_id',
string='KPI\'s',
copy=True)
subkpi_ids = fields.One2many('mis.report.subkpi', 'report_id',
string="Sub KPI",
copy=True)
@api.onchange('subkpi_ids')
def _on_change_subkpi_ids(self):
""" Update kpi expressions when subkpis change on the report,
so the list of kpi expressions is always up-to-date """
for kpi in self.kpi_ids:
if not kpi.multi:
continue
new_subkpis = set([subkpi for subkpi in self.subkpi_ids])
expressions = []
for expression in kpi.expression_ids:
assert expression.subkpi_id # must be true if kpi is multi
if expression.subkpi_id not in self.subkpi_ids:
expressions.append((2, expression.id, None)) # remove
else:
new_subkpis.remove(expression.subkpi_id) # no change
for subkpi in new_subkpis:
# TODO FIXME this does not work, while the remove above works
expressions.append((0, None, {
'name': False,
'subkpi_id': subkpi.id,
})) # add empty expressions for new subkpis
if expressions:
kpi.expressions_ids = expressions
@api.multi
def get_wizard_report_action(self):
action = self.env.ref('mis_builder.mis_report_instance_view_action')
res = action.read()[0]
view = self.env.ref('mis_builder.wizard_mis_report_instance_view_form')
res.update({
'view_id': view.id,
'views': [(view.id, 'form')],
'target': 'new',
'context': {
'default_report_id': self.id,
'default_name': self.name,
'default_temporary': True,
}
})
return res
@api.one
def copy(self, default=None):
default = dict(default or {})
default['name'] = _('%s (copy)') % self.name
return super(MisReport, self).copy(default)
# TODO: kpi name cannot be start with query name
@api.multi
def _prepare_kpi_matrix(self):
self.ensure_one()
kpi_matrix = KpiMatrix(self.env)
for kpi in self.kpi_ids:
kpi_matrix.declare_kpi(kpi)
return kpi_matrix
@api.multi
def _prepare_aep(self, company):
self.ensure_one()
aep = AEP(self.env)
for kpi in self.kpi_ids:
for expression in kpi.expression_ids:
aep.parse_expr(expression.name)
aep.done_parsing(company)
return aep
@api.multi
def _fetch_queries(self, date_from, date_to,
get_additional_query_filter=None):
self.ensure_one()
res = {}
for query in self.query_ids:
model = self.env[query.model_id.model]
eval_context = {
'env': self.env,
'time': time,
'datetime': datetime,
'dateutil': dateutil,
# deprecated
'uid': self.env.uid,
'context': self.env.context,
}
domain = query.domain and \
safe_eval(query.domain, eval_context) or []
if get_additional_query_filter:
domain.extend(get_additional_query_filter(query))
if query.date_field.ttype == 'date':
domain.extend([(query.date_field.name, '>=', date_from),
(query.date_field.name, '<=', date_to)])
else:
datetime_from = _utc_midnight(
date_from, self._context.get('tz', 'UTC'))
datetime_to = _utc_midnight(
date_to, self._context.get('tz', 'UTC'), add_day=1)
domain.extend([(query.date_field.name, '>=', datetime_from),
(query.date_field.name, '<', datetime_to)])
field_names = [f.name for f in query.field_ids]
all_stored = all([model._fields[f].store for f in field_names])
if not query.aggregate:
data = model.search_read(domain, field_names)
res[query.name] = [AutoStruct(**d) for d in data]
elif query.aggregate == 'sum' and all_stored:
# use read_group to sum stored fields
data = model.read_group(
domain, field_names, [])
s = AutoStruct(count=data[0]['__count'])
for field_name in field_names:
try:
v = data[0][field_name]
except KeyError:
_logger.error('field %s not found in read_group '
'for %s; not summable?',
field_name, model._name)
v = AccountingNone
setattr(s, field_name, v)
res[query.name] = s
else:
data = model.search_read(domain, field_names)
s = AutoStruct(count=len(data))
if query.aggregate == 'min':
agg = _min
elif query.aggregate == 'max':
agg = _max
elif query.aggregate == 'avg':
agg = _avg
elif query.aggregate == 'sum':
agg = _sum
for field_name in field_names:
setattr(s, field_name,
agg([d[field_name] for d in data]))
res[query.name] = s
return res
@api.multi
def _declare_and_compute_period(self, kpi_matrix,
col_key,
col_description,
col_comment,
aep,
date_from, date_to,
target_move,
company,
subkpis_filter=None,
get_additional_move_line_filter=None,
get_additional_query_filter=None):
""" Evaluate a report for a given period, populating a KpiMatrix.
:param kpi_matrix: the KpiMatrix object to be populated
:param col_key: the period key to use when populating the KpiMatrix
:param aep: an AccountingExpressionProcessor instance created
using _prepare_aep()
:param date_from, date_to: the starting and ending date
:param target_move: all|posted
:param company:
:param get_additional_move_line_filter: a bound method that takes
no arguments and returns
a domain compatible with
account.move.line
:param get_additional_query_filter: a bound method that takes a single
query argument and returns a
domain compatible with the query
underlying model
"""
self.ensure_one()
locals_dict = {
'sum': _sum,
'min': _min,
'max': _max,
'len': len,
'avg': _avg,
'AccountingNone': AccountingNone,
'SimpleArray': SimpleArray,
}
# fetch non-accounting queries
locals_dict.update(self._fetch_queries(
date_from, date_to, get_additional_query_filter))
# use AEP to do the accounting queries
additional_move_line_filter = None
if get_additional_move_line_filter:
additional_move_line_filter = get_additional_move_line_filter()
aep.do_queries(company,
date_from, date_to,
target_move,
additional_move_line_filter)
if subkpis_filter:
subkpis = [subkpi for subkpi in self.subkpi_ids
if subkpi in subkpis_filter]
else:
subkpis = self.subkpi_ids
kpi_matrix.declare_col(col_key,
col_description, col_comment,
locals_dict, subkpis)
compute_queue = self.kpi_ids
recompute_queue = []
while True:
for kpi in compute_queue:
# build the list of expressions for this kpi
expressions = []
for expression in kpi.expression_ids:
if expression.subkpi_id and \
subkpis_filter and \
expression.subkpi_id not in subkpis_filter:
continue
expressions.append(expression.name)
vals = []
drilldown_args = []
try:
for expression in expressions:
replaced_expr = aep.replace_expr(expression)
vals.append(
mis_safe_eval(replaced_expr, locals_dict))
if replaced_expr != expression:
drilldown_args.append({
'period_id': col_key,
'expr': expression,
})
else:
drilldown_args.append(None)
except NameError:
recompute_queue.append(kpi)
break
else:
# no error, set it in locals_dict so it can be used
# in computing other kpis
if len(expressions) == 1:
locals_dict[kpi.name] = vals[0]
else:
locals_dict[kpi.name] = SimpleArray(vals)
kpi_matrix.set_values(
kpi, col_key, vals, drilldown_args)
if not kpi.auto_expand_accounts:
continue
for account_id, replaced_exprs in \
aep.replace_exprs_by_account_id(expressions):
vals = []
drilldown_args = []
for expression, replaced_expr in \
izip(expressions, replaced_exprs):
vals.append(mis_safe_eval(replaced_expr, locals_dict))
if replaced_expr != expression:
drilldown_args.append({
'period_id': col_key,
'expr': expression,
'account_id': account_id
})
else:
drilldown_args.append(None)
kpi_matrix.set_values_detail_account(
kpi, col_key, account_id, vals, drilldown_args)
if len(recompute_queue) == 0:
# nothing to recompute, we are done
break
if len(recompute_queue) == len(compute_queue):
# could not compute anything in this iteration
# (ie real Name errors or cyclic dependency)
# so we stop trying
break
# try again
compute_queue = recompute_queue
recompute_queue = []