eis.py
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from pyramid.view import (
view_config,
)
from ..views import BaseView
from ..models import *
from ..models.eis import Eis, Chart, ChartItem, Slide
from datatables import ColumnDT, DataTables
from sqlalchemy import func, and_, String
from sqlalchemy.sql.expression import cast
class EisView(BaseView):
@view_config(route_name='eis', renderer='templates/eis.pt',
permission='eis')
def view_app(self):
return{}
# return dict(project='EIS', datas=datas, tab_datas=tab_datas,
# line_datas=line_datas, bar_datas=bar_datas,
# pie_datas=pie_datas, )#, datas=Eis.sum_order_id('2014'))
# class eis(BaseView):
# def cek_value(self,value,devider,simbol):
# if value<devider:
# return "{0:,.0f}".format(value)
# else:
# return "{0:,.0f} {1}".format(value/devider,simbol)
# @view_config(route_name='eis', renderer='templates/eis.pt',
# permission='eis')
# def view_app(self):
# tahun = self.ses['tahun']
# datas = DBSession.query(Slide).filter(Slide.status==1).order_by(Slide.order_id) or {}
# tab_datas = DBSession.query(Slide).filter(Slide.source_type=='grid').order_by(Slide.order_id) or {}
# line_datas = DBSession.query(Slide).filter(Slide.source_type=='chart-line').order_by(Slide.order_id)or {}
# bar_datas = DBSession.query(Slide).filter(Slide.source_type=='chart-bar').order_by(Slide.order_id)or {}
# pie_datas = DBSession.query(Slide).filter(Slide.source_type=='chart-pie').order_by(Slide.order_id)or {}
# return dict(project='EIS', datas=datas, tab_datas=tab_datas,
# line_datas=line_datas, bar_datas=bar_datas,
# pie_datas=pie_datas, )#, datas=Eis.sum_order_id('2014'))
# @view_config(route_name='eis-act', renderer='json')
# def view_app_act(self):
# tahun = self.ses['tahun']
# req = self.req
# ses = req.session
# params = req.params
# id = 'id' in params and params['id'] or 0
# json_data = {}
# json_data['success']=False
# if req.matchdict['act']=='grid':
# rows = DBSession.query(Eis).filter(Eis.id==id)
# if not rows:
# return json_data
# for row in rows:
# row_dicted = row.to_dict()
# amt_hari = float(row_dicted['amt_hari'])
# amt_minggu = float(row_dicted['amt_minggu']) #+amt_hari
# amt_bulan = float(row_dicted['amt_bulan']) #+amt_hari
# amt_tahun = float(row_dicted['amt_tahun']) #+amt_bulan
# json_data['success']= True
# json_data['tahun'] = self.cek_value(amt_tahun,1, '')
# json_data['bulan'] = self.cek_value(amt_bulan,1, '')
# json_data['minggu'] = self.cek_value(amt_minggu,1, '')
# json_data['hari'] = self.cek_value(amt_hari,1, '')
# return json_data
# #######################################################################
# # GRAFIK LINE/BAR
# #######################################################################
# elif req.matchdict['act']=='linebar':
# rows = DBSession.query(Chart).filter(Chart.id==id).first()
# if not rows:
# return json_data
# json_data['label'] = rows.label.split(',')
# rows = DBSession.query(ChartItem).filter(ChartItem.chart_id==id).\
# order_by(ChartItem.id)
# for row in rows:
# json_data[row.source_type] = [row.value_1/row.chart.devider,row.value_2/row.chart.devider,row.value_3/row.chart.devider,
# row.value_4/row.chart.devider,row.value_5/row.chart.devider,row.value_6/row.chart.devider,
# row.value_7/row.chart.devider,row.value_8/row.chart.devider,row.value_9/row.chart.devider,
# row.value10/row.chart.devider,row.value11/row.chart.devider,row.value12/row.chart.devider,]
# json_data['success']= True
# return json_data
# #######################################################################
# # GRAFIK LINGKARAN
# #######################################################################
# elif req.matchdict['act']=='pie':
# rows = DBSession.query(Chart).filter(Chart.id==id).first()
# if not rows:
# return json_data
# json_data['label'] = rows.label.split(',')
# rows = DBSession.query(ChartItem).filter(ChartItem.chart_id==id).\
# order_by(ChartItem.id)
# json_data['rows'] = {}
# for row in rows:
# anama = {}
# anama['nama'] = row.nama
# anama['color'] = row.color
# anama ['highlight'] = row.highlight
# anama ['value'] = row.value_1/row.chart.devider
# json_data['rows'][row.nama] =anama
# json_data['success']= True
# return json_data
# elif req.matchdict['act']=='dasboard':
# # max_tahun = DBSession.query(func.max(Eis.tahun)).scalar()
# max_tahun = ses['tahun']
# subqx = DBSession.query(
# func.max(Eis.nama).label('nama'),
# func.sum(ChartItem.value_1+ChartItem.value_2+ChartItem.value_3+ChartItem.value_4+\
# ChartItem.value_5+ChartItem.value_6+ChartItem.value_7+ChartItem.value_8+ChartItem.value_9+\
# ChartItem.value10+ChartItem.value11+ChartItem.value12).label('target'),
# func.sum(Eis.amt_bulan).label('amt_bulan'),
# func.sum(Eis.amt_tahun).label('amt_tahun'),
# func.sum(
# (ChartItem.value_1+ChartItem.value_2+ChartItem.value_3+ChartItem.value_4+ChartItem.value_5+\
# ChartItem.value_6+ChartItem.value_7+ChartItem.value_8+ChartItem.value_9+ChartItem.value10+\
# ChartItem.value11+ChartItem.value12) - Eis.amt_tahun).label('sisa_target'),
# cast(func.round((func.sum(Eis.amt_tahun)/
# func.sum(ChartItem.value_1+ChartItem.value_2+ChartItem.value_3+ChartItem.value_4+\
# ChartItem.value_5+ChartItem.value_6+ChartItem.value_7+ChartItem.value_8+ChartItem.value_9+\
# ChartItem.value10+ChartItem.value11+ChartItem.value12))*100,2),String).label('persen')).\
# join(ChartItem, and_(func.trim(ChartItem.rekening_kd)==func.trim(Eis.kode),ChartItem.source_type=='target')).\
# join(Chart, and_(Chart.id == ChartItem.chart_id, Chart.chart_type == 'line')).\
# filter(Eis.tahun==max_tahun).\
# group_by(Eis.kode,Eis.nama,Eis.tahun).order_by(Eis.kode).subquery()
# subq = DBSession.query(
# (Eis.nama).label('nama'),
# (ChartItem.value_1*12).label('target'),
# (Eis.amt_bulan).label('amt_bulan'),
# (Eis.amt_tahun).label('amt_tahun'),
# ((ChartItem.value_1*12) - Eis.amt_tahun).label('sisa_target'),
# cast(func.round(((Eis.amt_tahun)/
# (ChartItem.value_1*12))*100,2),String).label('persen')).\
# join(ChartItem, and_(func.trim(ChartItem.rekening_kd)==func.trim(Eis.kode),ChartItem.source_type=='target')).\
# join(Chart, and_(Chart.id == ChartItem.chart_id, Chart.chart_type == 'line')).\
# filter(Eis.tahun==max_tahun).\
# order_by(Eis.kode).subquery()
# query = DBSession.query().select_from(subq)
# columns = [
# ColumnDT(subq.c.nama, mData="jenis_pajak"),
# ColumnDT(subq.c.target, mData="target"),
# ColumnDT(subq.c.amt_bulan, mData="realisasi_bulan_ini"),
# ColumnDT(subq.c.amt_tahun, mData="realisasi_sampai_dengan"),
# ColumnDT(subq.c.sisa_target, mData="sisa_target"),
# ColumnDT(subq.c.persen, mData="persen"),
# ]
# rowTable = DataTables(req.GET, query, columns)
# return rowTable.output_result()