# -*- encoding: utf-8 -*- ############################################################################## # # mis_builder module for OpenERP, Management Information System Builder # Copyright (C) 2014 ACSONE SA/NV () # # This file is a part of mis_builder # # mis_builder is free software: you can redistribute it and/or modify # it under the terms of the GNU Affero General Public License v3 or later # as published by the Free Software Foundation, either version 3 of the # License, or (at your option) any later version. # # mis_builder is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Affero General Public License v3 or later for more details. # # You should have received a copy of the GNU Affero General Public License # v3 or later along with this program. # If not, see . # ############################################################################## from datetime import datetime, timedelta from dateutil import parser import traceback import re import pytz from openerp.osv import orm, fields from openerp.tools.safe_eval import safe_eval from openerp.tools.translate import _ from openerp import tools from collections import OrderedDict class AutoStruct(object): def __init__(self, **kwargs): for k, v in kwargs.items(): setattr(self, k, v) def _get_selection_label(selection, value): for v, l in selection: if v == value: return l return '' def _utc_midnight(d, tz_name, add_day=0): d = datetime.strptime(d, tools.DEFAULT_SERVER_DATE_FORMAT) if add_day: d = d + 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 datetime.strftime(local_timestamp.astimezone(utc_tz), tools.DEFAULT_SERVER_DATETIME_FORMAT) def _python_var(var_str): return re.sub(r'\W|^(?=\d)', '_', var_str).lower() def _python_bal_var(account_code): return 'bal_' + re.sub(r'\W', '_', account_code) def _get_bal_vars_in_expr(expr): return re.findall(r'\bbal_\w+', expr) def _python_bals_var(account_code): return 'bals_' + re.sub(r'\W', '_', account_code) def _get_bals_vars_in_expr(expr): return re.findall(r'\bbals_\w+', expr) def _get_vars_in_expr(expr, varnames=None): if not varnames: return [] varnames_re = r'\b' + r'\b|\b'.join(varnames) + r'\b' return re.findall(varnames_re, expr) def _get_bal_vars_in_report(report): res = set() for kpi in report.kpi_ids: for bal_var in _get_bal_vars_in_expr(kpi.expression): res.add(bal_var) return res def _get_bals_vars_in_report(report): res = set() for kpi in report.kpi_ids: for bals_var in _get_bals_vars_in_expr(kpi.expression): res.add(bals_var) return res def _is_valid_python_var(name): return re.match("[_A-Za-z][_a-zA-Z0-9]*$", name) \ and not name.startswith('bal_') \ and not name.startswith('bals_') class mis_report_kpi(orm.Model): """ A KPI is an element 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 suffix, divider) and how to render comparison of two values of the KPI. KPI are ordered inside the MIS report, as some KPI expressions can depend on other KPI that need to be computed before. """ _name = 'mis.report.kpi' _columns = { 'name': fields.char(size=32, required=True, string='Name'), 'description': fields.char(required=True, string='Description', translate=True), 'expression': fields.char(required=True, string='Expression'), 'default_css_style': fields.char( string='Default CSS style expression'), 'css_style': fields.char(string='CSS style expression'), 'type': fields.selection([('num', _('Numeric')), ('pct', _('Percentage')), ('str', _('String'))], required=True, string='Type'), 'divider': fields.selection([('1e-6', _('ยต')), ('1e-3', _('m')), ('1', _('1')), ('1e3', _('k')), ('1e6', _('M'))], string='Factor'), 'dp': fields.integer(string='Rounding'), 'suffix': fields.char(size=16, string='Suffix'), 'compare_method': fields.selection([('diff', _('Difference')), ('pct', _('Percentage')), ('none', _('None'))], required=True, string='Comparison Method'), 'sequence': fields.integer(string='Sequence'), 'report_id': fields.many2one('mis.report', string='Report'), } _defaults = { 'type': 'num', 'divider': '1', 'dp': 0, 'compare_method': 'pct', 'sequence': 100, } _order = 'sequence' def _check_name(self, cr, uid, ids, context=None): for record_name in self.read(cr, uid, ids, ['name']): if not _is_valid_python_var(record_name['name']): return False return True _constraints = [ (_check_name, 'The name must be a valid python identifier', ['name']), ] def onchange_name(self, cr, uid, ids, name, context=None): res = {} if name and not _is_valid_python_var(name): res['warning'] = { 'title': 'Invalid name', 'message': 'The name must be a valid python identifier'} return res def onchange_description(self, cr, uid, ids, description, name, context=None): """ construct name from description """ res = {} if description and not name: res = {'value': {'name': _python_var(description)}} return res def onchange_type(self, cr, uid, ids, kpi_type, context=None): res = {} if kpi_type == 'pct': res['value'] = {'compare_method': 'diff'} elif kpi_type == 'str': res['value'] = {'compare_method': 'none', 'divider': '', 'dp': 0} return res def _render(self, cr, uid, kpi, value, context=None): """ render a KPI value as a unicode string, ready for display """ if kpi.type == 'num': return self._render_num(cr, uid, value, kpi.divider, kpi.dp, kpi.suffix, context=context) elif kpi.type == 'pct': return self._render_num(cr, uid, value, 0.01, kpi.dp, '%', context=context) else: return unicode(value) def _render_comparison(self, cr, uid, kpi, value, base_value, average_value, average_base_value, context=None): """ render the comparison of two KPI values, ready for display """ if value is None or base_value is None: return '' if kpi.type == 'pct': return self._render_num(cr, uid, value - base_value, 0.01, kpi.dp, _('pp'), sign='+', context=context) elif kpi.type == 'num': if average_value: value = value / float(average_value) if average_base_value: base_value = base_value / float(average_base_value) if kpi.compare_method == 'diff': return self._render_num(cr, uid, value - base_value, kpi.divider, kpi.dp, kpi.suffix, sign='+', context=context) elif kpi.compare_method == 'pct' and base_value != 0: return self._render_num(cr, uid, value / base_value - 1, 0.01, kpi.dp, '%', sign='+', context=context) return '' def _render_num(self, cr, uid, value, divider, dp, suffix, sign='-', context=None): divider_label = _get_selection_label( self._columns['divider'].selection, divider) if divider_label == '1': divider_label = '' # format number following user language lang = self.pool['res.users'].read( cr, uid, uid, ['lang'], context=context)['lang'] language_id = self.pool['res.lang'].search( cr, uid, [('code', '=', lang)], context=context) value = round(value / float(divider or 1), dp) or 0 return '%s %s%s' % (self.pool['res.lang'].format(cr, uid, language_id, '%%%s.%df' % ( sign, dp), value, grouping=True, context=context), divider_label, suffix or '') class mis_report_query(orm.Model): """ A query to fetch 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' def _get_field_names(self, cr, uid, ids, name, args, context=None): res = {} for query in self.browse(cr, uid, ids, context=context): field_names = [] for field in query.field_ids: field_names.append(field.name) res[query.id] = ', '.join(field_names) return res def onchange_field_ids(self, cr, uid, ids, field_ids, context=None): # compute field_names field_names = [] for field in self.pool.get('ir.model.fields').read(cr, uid, field_ids[0][2], ['name'], context=context): field_names.append(field['name']) return {'value': {'field_names': ', '.join(field_names)}} _columns = { '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.function(_get_field_names, type='char', string='Fetched fields name', store={'mis.report.query': (lambda self, cr, uid, ids, c={}: ids, ['field_ids'], 20), }), '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'), } _order = 'name' def _check_name(self, cr, uid, ids, context=None): for record_name in self.read(cr, uid, ids, ['name']): if not _is_valid_python_var(record_name['name']): return False return True _constraints = [ (_check_name, 'The name must be a valid python identifier', ['name']), ] class mis_report(orm.Model): """ A MIS report template (without period information) The MIS report holds: * an implicit query fetching all the account balances; for each account, the balance is stored in a variable named bal_{code} where {code} is the account code * an implicit query fetching all the account balances solde; for each account, the balance solde is stored in a variable named bals_{code} where {code} is the account code * 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 * a list of KPI to be evaluated based on the variables resulting from the balance and queries """ _name = 'mis.report' _columns = { 'name': fields.char(size=32, required=True, string='Name', translate=True), 'description': fields.char(required=False, string='Description', translate=True), 'query_ids': fields.one2many('mis.report.query', 'report_id', string='Queries'), 'kpi_ids': fields.one2many('mis.report.kpi', 'report_id', string='KPI\'s'), } # TODO: kpi name cannot be start with query name def create(self, cr, uid, vals, context=None): # TODO: explain this if 'kpi_ids' in vals: mis_report_kpi_obj = self.pool.get('mis.report.kpi') for idx, line in enumerate(vals['kpi_ids']): if line[0] == 0: line[2]['sequence'] = idx + 1 else: mis_report_kpi_obj.write( cr, uid, [line[1]], {'sequence': idx + 1}, context=context) return super(mis_report, self).create(cr, uid, vals, context=context) def write(self, cr, uid, ids, vals, context=None): # TODO: explain this res = super(mis_report, self).write( cr, uid, ids, vals, context=context) mis_report_kpi_obj = self.pool.get('mis.report.kpi') for report in self.browse(cr, uid, ids, context): for idx, kpi in enumerate(report.kpi_ids): mis_report_kpi_obj.write( cr, uid, [kpi.id], {'sequence': idx + 1}, context=context) return res class mis_report_instance_period(orm.Model): """ A MIS report instance has the logic to compute a report template for a given date period. Periods have a duration (day, week, fiscal period) and are defined as an offset relative to a pivot date. """ def _get_dates(self, cr, uid, ids, field_names, arg, context=None): if isinstance(ids, (int, long)): ids = [ids] res = {} for c in self.browse(cr, uid, ids, context=context): d = parser.parse(c.report_instance_id.pivot_date) if c.type == 'd': date_from = d + timedelta(days=c.offset) date_to = date_from + timedelta(days=c.duration - 1) date_from = date_from.strftime( tools.DEFAULT_SERVER_DATE_FORMAT) date_to = date_to.strftime(tools.DEFAULT_SERVER_DATE_FORMAT) period_ids = None elif c.type == 'w': date_from = d - timedelta(d.weekday()) date_from = date_from + timedelta(days=c.offset * 7) date_to = date_from + timedelta(days=(7 * c.duration) - 1) date_from = date_from.strftime( tools.DEFAULT_SERVER_DATE_FORMAT) date_to = date_to.strftime(tools.DEFAULT_SERVER_DATE_FORMAT) period_ids = None elif c.type == 'fp': period_obj = self.pool['account.period'] all_period_ids = period_obj.search( cr, uid, [('special', '=', False), '|', ('company_id', '=', False), ('company_id', '=', c.company_id.id)], order='date_start', context=context) current_period_ids = period_obj.search( cr, uid, [('special', '=', False), ('date_start', '<=', d), ('date_stop', '>=', d), '|', ('company_id', '=', False), ('company_id', '=', c.company_id.id)], context=context) if not current_period_ids: raise orm.except_orm(_("Error!"), _("No current fiscal period for %s") % d) p = all_period_ids.index(current_period_ids[0]) + c.offset if p < 0 or p >= len(all_period_ids): raise orm.except_orm(_("Error!"), _("No such fiscal period for %s " "with offset %d") % (d, c.offset)) period_ids = all_period_ids[p:p + c.duration] periods = period_obj.browse(cr, uid, period_ids, context=context) date_from = periods[0].date_start date_to = periods[-1].date_stop else: raise orm.except_orm(_("Error!"), _("Unimplemented period type %s") % (c.type,)) res[c.id] = { 'date_from': date_from, 'date_to': date_to, 'period_from': period_ids and period_ids[0], 'period_to': period_ids and period_ids[-1], } return res _name = 'mis.report.instance.period' _columns = { 'name': fields.char(size=32, required=True, string='Description', translate=True), 'type': fields.selection([('d', _('Day')), ('w', _('Week')), ('fp', _('Fiscal Period')), # ('fy', _('Fiscal Year')) ], required=True, string='Period type'), 'offset': fields.integer(string='Offset', help='Offset from current period'), 'duration': fields.integer(string='Duration', help='Number of periods'), 'date_from': fields.function(_get_dates, type='date', multi="dates", string="From"), 'date_to': fields.function(_get_dates, type='date', multi="dates", string="To"), 'period_from': fields.function(_get_dates, type='many2one', obj='account.period', multi="dates", string="From period"), 'period_to': fields.function(_get_dates, type='many2one', obj='account.period', multi="dates", string="To period"), 'sequence': fields.integer(string='Sequence'), 'report_instance_id': fields.many2one('mis.report.instance', string='Report Instance'), 'comparison_column_ids': fields.many2many( 'mis.report.instance.period', 'mis_report_instance_period_rel', 'period_id', 'compare_period_id', string='Compare with'), 'company_id': fields.related('report_instance_id', 'company_id', type="many2one", relation="res.company", string="Company", readonly=True), 'normalize_factor': fields.integer( string='Factor', help='Factor to use to normalize the period (used in comparison'), } _defaults = { 'offset': -1, 'duration': 1, 'sequence': 100, 'normalize_factor': 1, } _order = 'sequence' _sql_constraints = [ ('duration', 'CHECK (duration>0)', 'Wrong duration, it must be positive!'), ('normalize_factor', 'CHECK (normalize_factor>0)', 'Wrong normalize factor, it must be positive!'), ('name_unique', 'unique(name, report_instance_id)', 'Period name should be unique by report'), ] def _fetch_balances(self, cr, uid, c, bal_vars, context=None): """ fetch the general account balances for the given period returns a dictionary {bal_: account.balance} """ if context is None: context = {} account_obj = self.pool['account.account'] search_ctx = dict(context) if c.period_from: search_ctx.update({'period_from': c.period_from.id, 'period_to': c.period_to.id}) else: search_ctx.update({'date_from': c.date_from, 'date_to': c.date_to}) # TODO: use child of company_id? account_ids = account_obj.search( cr, uid, ['|', ('company_id', '=', False), ('company_id', '=', c.company_id.id)], context=search_ctx) # first fetch all codes and filter the one we need account_datas = account_obj.read( cr, uid, account_ids, ['code', ], context=search_ctx) account_ids = [a['id'] for a in account_datas if _python_bal_var(a['code']) in bal_vars] # fetch balances account_datas = account_obj.read( cr, uid, account_ids, ['code', 'balance'], context=search_ctx) balances = {} for account_data in account_datas: key = _python_bal_var(account_data['code']) assert key not in balances balances[key] = account_data['balance'] return balances def _fetch_balances_solde(self, cr, uid, c, bals_vars, context=None): """ fetch the general account balances solde at the end of the given period the period from is computed by searching the last special period with journal entries. If nothing is found, the first period is used. returns a dictionary {bals_: account.balance.solde} """ if context is None: context = {} account_obj = self.pool['account.account'] balances = {} search_ctx = dict(context) if c.period_to: move_obj = self.pool['account.move'] move_id = move_obj.search( cr, uid, [('period_id.special', '=', True), ('period_id.date_start', '<=', c.period_to.date_start)], order="period_id desc", limit=1, context=context) if move_id: computed_period_from = move_obj.browse( cr, uid, move_id[0], context=context).period_id.id else: computed_period_from = self.pool['account.period'].search( cr, uid, [('company_id', '=', c.company_id.id)], order='date_start', limit=1)[0] search_ctx.update({'period_from': computed_period_from, 'period_to': c.period_to.id}) else: return balances # TODO: use child of company_id? account_ids = account_obj.search( cr, uid, ['|', ('company_id', '=', False), ('company_id', '=', c.company_id.id)], context=search_ctx) # first fetch all codes and filter the one we need account_datas = account_obj.read( cr, uid, account_ids, ['code', ], context=search_ctx) account_ids = [a['id'] for a in account_datas if _python_bals_var(a['code']) in bals_vars] # fetch balances account_datas = account_obj.read( cr, uid, account_ids, ['code', 'balance'], context=search_ctx) for account_data in account_datas: key = _python_bals_var(account_data['code']) assert key not in balances balances[key] = account_data['balance'] return balances def _fetch_queries(self, cr, uid, c, context): res = {} report = c.report_instance_id.report_id for query in report.query_ids: obj = self.pool[query.model_id.model] domain = query.domain and safe_eval(query.domain) or [] if query.date_field.ttype == 'date': domain.extend([(query.date_field.name, '>=', c.date_from), (query.date_field.name, '<=', c.date_to)]) else: datetime_from = _utc_midnight( c.date_from, context.get('tz', 'UTC')) datetime_to = _utc_midnight( c.date_to, context.get('tz', 'UTC'), add_day=1) domain.extend([(query.date_field.name, '>=', datetime_from), (query.date_field.name, '<', datetime_to)]) if obj._columns.get('company_id', False): domain.extend(['|', ('company_id', '=', False), ('company_id', '=', c.company_id.id)]) field_names = [field.name for field in query.field_ids] obj_ids = obj.search(cr, uid, domain, context=context) obj_datas = obj.read( cr, uid, obj_ids, field_names, context=context) res[query.name] = [AutoStruct(**d) for d in obj_datas] return res def _compute(self, cr, uid, c, bal_vars, bals_vars, context=None): if context is None: context = {} kpi_obj = self.pool['mis.report.kpi'] res = {} localdict = { 'registry': self.pool, 'sum': sum, 'min': min, 'max': max, 'len': len, 'avg': lambda l: sum(l) / float(len(l)), } localdict.update(self._fetch_balances(cr, uid, c, bal_vars, context=context)) localdict.update(self._fetch_balances_solde(cr, uid, c, bals_vars, context=context)) localdict.update(self._fetch_queries(cr, uid, c, context=context)) for kpi in c.report_instance_id.report_id.kpi_ids: try: kpi_val = safe_eval(kpi.expression, localdict) except ZeroDivisionError: kpi_val = None kpi_val_rendered = '#DIV/0' kpi_val_comment = traceback.format_exc() except: kpi_val = None kpi_val_rendered = '#ERR' kpi_val_comment = traceback.format_exc() else: kpi_val_rendered = kpi_obj._render( cr, uid, kpi, kpi_val, context=context) kpi_val_comment = None localdict[kpi.name] = kpi_val try: kpi_style = None if kpi.css_style: kpi_style = safe_eval(kpi.css_style, localdict) except: kpi_style = None res[kpi.name] = { 'val': kpi_val, 'val_r': kpi_val_rendered, 'val_c': kpi_val_comment, 'style': kpi_style, 'default_style': kpi.default_css_style or None, 'suffix': kpi.suffix, 'dp': kpi.dp, 'is_percentage': kpi.type == 'pct', } return res class mis_report_instance(orm.Model): """ The MIS report instance combines compute and display a MIS report template for a set of periods """ def _get_pivot_date(self, cr, uid, ids, field_name, arg, context=None): res = {} for r in self.browse(cr, uid, ids, context=context): if r.date: res[r.id] = r.date else: res[r.id] = fields.date.context_today(self, cr, uid, context=context) return res _name = 'mis.report.instance' _columns = { 'name': fields.char(size=32, required=True, string='Name', translate=True), 'description': fields.char(required=False, string='Description', translate=True), 'date': fields.date(string='Base date', help='Report base date ' '(leave empty to use current date)'), 'pivot_date': fields.function(_get_pivot_date, type='date', string="Pivot date"), 'report_id': fields.many2one('mis.report', required=True, string='Report'), 'period_ids': fields.one2many('mis.report.instance.period', 'report_instance_id', required=True, string='Periods'), 'target_move': fields.selection([('posted', 'All Posted Entries'), ('all', 'All Entries'), ], 'Target Moves', required=True), 'company_id': fields.many2one('res.company', 'Company', required=True), } _defaults = { 'target_move': 'posted', 'company_id': lambda s, cr, uid, c: s.pool.get('res.company')._company_default_get( cr, uid, 'mis.report.instance', context=c) } def create(self, cr, uid, vals, context=None): if not vals: return context.get('active_id', None) # TODO: explain this if 'period_ids' in vals: mis_report_instance_period_obj = self.pool.get( 'mis.report.instance.period') for idx, line in enumerate(vals['period_ids']): if line[0] == 0: line[2]['sequence'] = idx + 1 else: mis_report_instance_period_obj.write( cr, uid, [line[1]], {'sequence': idx + 1}, context=context) return super(mis_report_instance, self).create(cr, uid, vals, context=context) def write(self, cr, uid, ids, vals, context=None): # TODO: explain this res = super(mis_report_instance, self).write( cr, uid, ids, vals, context=context) mis_report_instance_period_obj = self.pool.get( 'mis.report.instance.period') for instance in self.browse(cr, uid, ids, context): for idx, period in enumerate(instance.period_ids): mis_report_instance_period_obj.write( cr, uid, [period.id], {'sequence': idx + 1}, context=context) return res def _format_date(self, cr, uid, date, context=None): # format date following user language lang = self.pool['res.users'].read( cr, uid, uid, ['lang'], context=context)['lang'] language_id = self.pool['res.lang'].search( cr, uid, [('code', '=', lang)], context=context)[0] tformat = self.pool['res.lang'].read( cr, uid, language_id, ['date_format'])['date_format'] return datetime.strftime(datetime.strptime( date, tools.DEFAULT_SERVER_DATE_FORMAT), tformat) def compute(self, cr, uid, _ids, context=None): assert isinstance(_ids, (int, long)) if context is None: context = {} r = self.browse(cr, uid, _ids, context=context) context['state'] = r.target_move content = OrderedDict() # empty line name for header header = OrderedDict() header[''] = {'kpi_name': '', 'cols': [], 'default_style': ''} # initialize lines with kpi for kpi in r.report_id.kpi_ids: content[kpi.name] = {'kpi_name': kpi.description, 'cols': [], 'default_style': ''} report_instance_period_obj = self.pool.get( 'mis.report.instance.period') kpi_obj = self.pool.get('mis.report.kpi') period_values = {} bal_vars = _get_bal_vars_in_report(r.report_id) bals_vars = _get_bals_vars_in_report(r.report_id) for period in r.period_ids: # add the column header header['']['cols'].append(dict( name=period.name, date=(period.duration > 1 or period.type == 'w') and _('from %s to %s' % (period.period_from and period.period_from.name or self._format_date(cr, uid, period.date_from, context=context), period.period_to and period.period_to.name or self._format_date(cr, uid, period.date_to, context=context))) or period.period_from and period.period_from.name or period.date_from)) # compute kpi values values = report_instance_period_obj._compute( cr, uid, period, bal_vars, bals_vars, context=context) period_values[period.name] = values for key in values: content[key]['default_style'] = values[key]['default_style'] content[key]['cols'].append(values[key]) # add comparison column for period in r.period_ids: for compare_col in period.comparison_column_ids: # add the column header header['']['cols'].append( dict(name='%s - %s' % (period.name, compare_col.name), date='')) column1_values = period_values[period.name] column2_values = period_values[compare_col.name] for kpi in r.report_id.kpi_ids: content[kpi.name]['cols'].append( {'val_r': kpi_obj._render_comparison( cr, uid, kpi, column1_values[kpi.name]['val'], column2_values[kpi.name]['val'], period.normalize_factor, compare_col.normalize_factor, context=context)}) return {'header': header, 'content': content}