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Resultview2.py
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578 lines (547 loc) · 29.1 KB
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import sys
sys.dont_write_bytecode = True
import pandas as pd
import flet as ft
from simpledt import DataFrame
from tinydb import TinyDB, Query
import openpyxl
from sqlalchemy import create_engine
import make_inputs_df
import decimal
# savedir = pathlib.Path(mkdtemp(prefix=None, suffix=None, dir='.')) # 一時ディレクトリを作成
class Results(ft.Stack):
def __init__(self):
super().__init__()
self.title = "結果 詳細"
self.width = 2100
self.height = 1000
self.resizable = True
engine = create_engine('sqlite:///VFM.db', echo=False, connect_args={'check_same_thread': False})
#con = TinyDB("selected_res.json")
engine_m = create_engine('sqlite:///sel_res.db', echo=False, connect_args={'check_same_thread': False})
df_res = pd.read_sql_table('sel_res', engine_m)
self.dtime = df_res['selected_datetime'].iloc[0]
#con.close()
inputs_pdt = make_inputs_df.main()
inputs_dic = inputs_pdt.model_dump()
final_inputs_df = pd.DataFrame(inputs_dic, index=[0])
final_inputs_df = final_inputs_df.drop(
[
'const_start_date_year',
'const_start_date_month',
'const_start_date_day',
'first_end_fy',
'growth',
'houjinjuminzei_ritsu_todouhuken',
'houjinjuminzei_ritsu_shikuchoson',
'ijikanri_unnei_LCC',
'ijikanri_unnei_1_LCC',
'ijikanri_unnei_2_LCC',
'ijikanri_unnei_3_LCC',
'pre_kyoukouka',
'shisetsu_seibi_LCC',
'target_years',
'yosantanka_hiritsu_shisetsu',
'yosantanka_hiritsu_ijikanri_1',
'yosantanka_hiritsu_ijikanri_2',
'yosantanka_hiritsu_ijikanri_3',
'zei_total',
],
axis=1)
final_inputs_df['SPC_setsuritsuhi'] = inputs_pdt.SPC_shihon + inputs_pdt.SPC_yobihi
final_inputs_df = final_inputs_df[[
'mgmt_type',
'proj_ctgry',
'proj_type',
'proj_years',
'const_years',
'const_start_date',
'ijikanri_unnei_years',
'rakusatsu_ritsu',
'reduc_shisetsu',
'reduc_ijikanri_1',
'reduc_ijikanri_2',
'reduc_ijikanri_3',
'shisetsu_seibi',
'shisetsu_seibi_org',
'shisetsu_seibi_org_LCC',
'ijikanri_unnei',
'ijikanri_unnei_org',
'ijikanri_unnei_org_LCC',
'ijikanri_unnei_1',
'ijikanri_unnei_1_org',
'ijikanri_unnei_1_org_LCC',
'ijikanri_unnei_2',
'ijikanri_unnei_2_org',
'ijikanri_unnei_2_org_LCC',
'ijikanri_unnei_3',
'ijikanri_unnei_3_org',
'ijikanri_unnei_3_org_LCC',
'hojo_ritsu',
'kisai_jutou',
'kisai_koufu',
'advisory_fee',
'monitoring_costs_PSC',
'monitoring_costs_LCC',
'SPC_hiyou_atsukai',
'SPC_fee',
'SPC_keihi',
'SPC_setsuritsuhi',
'SPC_hiyou_total',
'SPC_hiyou_nen',
'SPC_keihi_LCC',
'SPC_shihon',
'SPC_yobihi',
'riyouryoukin_shunyu',
'shisetsu_seibi_paymentschedule_ikkatsu',
'shisetsu_seibi_paymentschedule_kappu',
'kijun_kinri',
'lg_spread',
'kitai_bukka',
'discount_rate',
'Kappu_kinri',
'kappu_kinri_spread',
'chisai_kinri',
'chisai_shoukan_kikan',
'chisai_sueoki_years',
'houjinzei_ritsu',
'houjinjuminzei_kintou',
'fudousanshutokuzei_hyoujun',
'fudousanshutokuzei_ritsu',
'koteishisanzei_hyoujun',
'koteishisanzei_ritsu',
'tourokumenkyozei_hyoujun',
'tourokumenkyozei_ritsu',
]]
final_inputs_df['rakusatsu_ritsu'] = final_inputs_df['rakusatsu_ritsu'].apply(lambda x: x * 100)
final_inputs_df['reduc_shisetsu'] = final_inputs_df['reduc_shisetsu'].apply(lambda x: x * 100)
final_inputs_df['reduc_ijikanri_1'] = final_inputs_df['reduc_ijikanri_1'].apply(lambda x: x * 100)
final_inputs_df['reduc_ijikanri_2'] = final_inputs_df['reduc_ijikanri_2'].apply(lambda x: x * 100)
final_inputs_df['reduc_ijikanri_3'] = final_inputs_df['reduc_ijikanri_3'].apply(lambda x: x * 100)
final_inputs_df['hojo_ritsu'] = final_inputs_df['hojo_ritsu'].apply(lambda x: x * 100)
final_inputs_df['kisai_jutou'] = final_inputs_df['kisai_jutou'].apply(lambda x: x * 100)
final_inputs_df['kisai_koufu'] = final_inputs_df['kisai_koufu'].apply(lambda x: x * 100)
final_inputs_df['shisetsu_seibi_paymentschedule_ikkatsu'] = final_inputs_df['shisetsu_seibi_paymentschedule_ikkatsu'].apply(lambda x: x * 100)
final_inputs_df['shisetsu_seibi_paymentschedule_kappu'] = final_inputs_df['shisetsu_seibi_paymentschedule_kappu'].apply(lambda x: x * 100)
final_inputs_df['kijun_kinri'] = final_inputs_df['kijun_kinri'].apply(lambda x: x * 100)
final_inputs_df['lg_spread'] = final_inputs_df['lg_spread'].apply(lambda x: x * 100)
final_inputs_df['kitai_bukka'] = final_inputs_df['kitai_bukka'].apply(lambda x: x * 100)
final_inputs_df['discount_rate'] = final_inputs_df['discount_rate'].apply(lambda x: x * 100)
final_inputs_df['Kappu_kinri'] = final_inputs_df['Kappu_kinri'].apply(lambda x: x * 100)
final_inputs_df['kappu_kinri_spread'] = final_inputs_df['kappu_kinri_spread'].apply(lambda x: x * 100)
final_inputs_df['chisai_kinri'] = final_inputs_df['chisai_kinri'].apply(lambda x: x * 100)
final_inputs_df['houjinzei_ritsu'] = final_inputs_df['houjinzei_ritsu'].apply(lambda x: x * 100)
final_inputs_df['fudousanshutokuzei_ritsu'] = final_inputs_df['fudousanshutokuzei_ritsu'].apply(lambda x: x * 100)
final_inputs_df['koteishisanzei_ritsu'] = final_inputs_df['koteishisanzei_ritsu'].apply(lambda x: x * 100)
final_inputs_df['tourokumenkyozei_ritsu'] = final_inputs_df['tourokumenkyozei_ritsu'].apply(lambda x: x * 100)
final_inputs_df['datetime'] = self.dtime
final_inputs_df = final_inputs_df.map(lambda x: round(float(x), 3) if isinstance(x, decimal.Decimal) else str(x))
final_inputs_df = final_inputs_df.rename(
columns={
'datetime':'datetime',
'mgmt_type':'施設管理者区分',
'proj_ctgry':'事業形態',
'proj_type':'事業方式',
'proj_years':'事業期間',
'const_years':'施設整備期間',
'const_start_date':'施設整備開始日',
'ijikanri_unnei_years':'維持管理運営費期間',
'rakusatsu_ritsu':'落札率(%)',
'reduc_shisetsu':'施設整備削減率(%)',
'reduc_ijikanri_1':'維持管理運営費(人件費)削減率(%)',
'reduc_ijikanri_2':'維持管理運営費(修繕費)削減率(%)',
'reduc_ijikanri_3':'維持管理運営費(動力費)削減率(%)',
'shisetsu_seibi':'施設整備費(競争効果反映後)(百万円)',
'shisetsu_seibi_org':'施設整備費原額(百万円)',
'shisetsu_seibi_org_LCC':'LCC施設整備費(削減率適用)(百万円)',
'ijikanri_unnei':'維持管理運営費総額(競争効果反映後)(百万円)',
'ijikanri_unnei_org':'維持管理運営費総額原額(百万円)',
'ijikanri_unnei_org_LCC':'LCC維持管理運営費総額(削減率適用)(百万円)',
'ijikanri_unnei_1':'維持管理運営費(人件費)(競争効果反映後)(百万円)',
'ijikanri_unnei_1_org':'維持管理運営費(人件費)原額(百万円)',
'ijikanri_unnei_1_org_LCC':'LCC維持管理運営費(人件費)(削減率適用)(百万円)',
'ijikanri_unnei_2':'維持管理運営費(修繕費)(競争効果反映後)(百万円)',
'ijikanri_unnei_2_org':'維持管理運営費(修繕費)原額(百万円)',
'ijikanri_unnei_2_org_LCC':'LCC維持管理運営費(修繕費)(削減率適用)(百万円)',
'ijikanri_unnei_3':'維持管理運営費(動力費)(競争効果反映後)(百万円)',
'ijikanri_unnei_3_org':'維持管理運営費(動力費)原額(百万円)',
'ijikanri_unnei_3_org_LCC':'LCC維持管理運営費(動力費)(削減率適用)(百万円)',
'hojo_ritsu':'補助率(%)',
'kisai_jutou':'起債充当率(%)',
'kisai_koufu':'起債交付金カバー率(%)',
'advisory_fee':'アドバイザリー手数料(百万円)',
'monitoring_costs_LCC':'PFI-LCCでのモニタリング等費用(百万円)',
'monitoring_costs_PSC':'PSCでのモニタリング等費用(百万円)',
'SPC_hiyou_atsukai':'SPC費用の処理(デフォルト:サービス対価に含める)',
'SPC_fee':'SPC手数料(百万円)',
'SPC_keihi':'SPC経費(百万円)',
'SPC_setsuritsuhi':'SPC設立費用(百万円)',
'SPC_hiyou_total':'SPC費用総額(百万円)',
'SPC_hiyou_nen':'SPC費用年額(百万円)',
'SPC_keihi_LCC':'LCCでのSPC経費(百万円)',
'SPC_shihon':'SPC資本金(百万円)',
'SPC_yobihi':'SPC予備費(百万円)',
'riyouryoukin_shunyu':'利用料金収入(百万円)',
'shisetsu_seibi_paymentschedule_ikkatsu':'施設整備対価一括払比率(%)',
'shisetsu_seibi_paymentschedule_kappu':'施設整備対価割賦払比率(%)',
'kijun_kinri':'基準金利(%)',
'lg_spread':'官民スプレッド(%)',
'kitai_bukka':'期待物価上昇率(%)',
'discount_rate':'割引率(%)',
'Kappu_kinri':'割賦金利(%)',
'kappu_kinri_spread':'割賦スプレッド(%)',
'chisai_kinri':'地方債金利(%)',
'chisai_shoukan_kikan':'地方債償還期間',
'chisai_sueoki_years':'地方債償還据置期間',
'houjinzei_ritsu':'法人税率(%)',
'houjinjuminzei_kintou':'法人住民税均等割(百万円)',
'fudousanshutokuzei_hyoujun':'不動産取得税課税標準(百万円)',
'fudousanshutokuzei_ritsu':'不動産取得税率(%)',
'koteishisanzei_hyoujun':'固定資産税課税標準(百万円)',
'koteishisanzei_ritsu':'固定資産税率(%)',
'tourokumenkyozei_hyoujun':'登録免許税課税標準(百万円)',
'tourokumenkyozei_ritsu':'登録免許税率(%)',
}
)
final_inputs_df.to_sql('final_inputs_table', engine, if_exists='replace', index=False)
final_inputs_df = final_inputs_df.drop(columns='datetime')
self.final_inputs_df = final_inputs_df.transpose().reset_index().rename(columns={"index":"項目名", 0:"値"})
table_names = [
'PSC_res_table',
'PSC_pv_res_table',
'LCC_res_table',
'LCC_pv_res_table',
'SPC_res_table',
'SPC_check_res_table',
'Risk_res_table',
'VFM_res_table',
'PIRR_res_table',
'res_summ_res_table',
]
self.selected_res_list = []
for table_name in table_names:
query = 'select * from ' + table_name + ' where datetime = ' + '"' + self.dtime + '"'
table_name = pd.read_sql_query(query, engine)
self.selected_res_list.append(table_name)
def build(self):
PSC_res_df = self.selected_res_list[0]
PSC_pv_df = self.selected_res_list[1]
LCC_res_df = self.selected_res_list[2]
LCC_pv_df = self.selected_res_list[3]
SPC_res_df = self.selected_res_list[4]
SPC_check_df = self.selected_res_list[5]
Risk_res_df = self.selected_res_list[6]
VFM_res_df = self.selected_res_list[7]
PIRR_res_df = self.selected_res_list[8]
res_summ_df = self.selected_res_list[9]
PSC_res_df['year'] = PSC_res_df['year'].apply(lambda x: str(x).replace('00:00:00.000000',''))
LCC_res_df['year'] = LCC_res_df['year'].apply(lambda x: str(x).replace('00:00:00.000000',''))
SPC_res_df['year'] = SPC_res_df['year'].apply(lambda x: str(x).replace('00:00:00.000000',''))
SPC_check_df['year'] = SPC_check_df['year'].apply(lambda x: str(x).replace('00:00:00.000000',''))
res_summ_df['discount_rate'] = res_summ_df['discount_rate'] * 100
PSC_res_df = PSC_res_df.drop(['chisai_zansai', 'kisai_shoukansumi_gaku', 'datetime', 'user_id', 'calc_id'], axis=1)
PSC_pv_df = PSC_pv_df.drop(['datetime', 'user_id', 'calc_id'], axis=1)
LCC_res_df = LCC_res_df.drop(['shisetsu_seibihi_kappugoukei', 'chisai_zansai', 'kisai_shoukansumi_gaku', 'datetime', 'user_id', 'calc_id'], axis=1)
LCC_pv_df = LCC_pv_df.drop(['datetime', 'user_id', 'calc_id'], axis=1)
SPC_res_df = SPC_res_df.drop(['payments_total_full', 'datetime', 'user_id', 'calc_id'], axis=1)
SPC_check_df = SPC_check_df.drop(['payments_total_full', 'net_income_full', 'datetime', 'user_id', 'calc_id'], axis=1)
Risk_res_df = Risk_res_df.drop(['datetime', 'user_id', 'calc_id'], axis=1)
VFM_res_df = VFM_res_df.drop(['datetime', 'user_id', 'calc_id'], axis=1)
PIRR_res_df = PIRR_res_df.drop(['datetime', 'user_id', 'calc_id'], axis=1)
res_summ_df = res_summ_df.drop(['datetime', 'user_id', 'calc_id'], axis=1)
#period_col = pd.DataFrame(index=range(45+1),columns=['period'])
#period_col['period'] = period_col.index.to_series()
#PSC_pv_df = period_col.join(PSC_pv_df)
#LCC_pv_df = period_col.join(LCC_pv_df)
PSC_res_income_df = PSC_res_df[['periods','year','hojokin', 'kouhukin', 'kisai_gaku', 'riyou_ryoukin', 'income_total']]
PSC_res_payments_df = PSC_res_df[['periods','year','shisetsu_seibihi', 'ijikanri_unneihi', 'monitoring_costs', 'kisai_shoukan_gaku', 'kisai_risoku_gaku', 'payments_total', 'net_payments']]
LCC_res_income_df = LCC_res_df[['periods','year','hojokin', 'kouhukin', 'kisai_gaku', 'zeishu', 'income_total']]
LCC_res_payments_df = LCC_res_df[['periods','year','shisetsu_seibihi_ikkatsu', 'shisetsu_seibihi_kappuganpon', 'shisetsu_seibihi_kappukinri', 'ijikanri_unneihi', 'monitoring_costs', 'SPC_keihi', 'kisai_shoukan_gaku', 'kisai_risoku_gaku', 'payments_total', 'net_payments']]
SPC_res_income_df = SPC_res_df[['periods','year','shisetsu_seibihi_taika_ikkatsu', 'shisetsu_seibihi_taika_kappuganpon', 'shisetsu_seibihi_taika_kappukinri', 'ijikanri_unneihi_taika', 'SPC_hiyou_taika', 'riyou_ryoukin', 'income_total']]
SPC_res_payments_df = SPC_res_df[['periods','year','shisetsu_seibihi', 'ijikanri_unneihi', 'shiharai_risoku', 'SPC_keihi', 'SPC_setsuritsuhi', 'houjinzei_etc', 'payments_total', 'net_income']]
PSC_res_income_df = PSC_res_income_df.rename(
columns={
'periods':'経過年度',
'year':'スケジュール',
'hojokin':'補助金',
'kouhukin':'交付金',
'kisai_gaku':'起債発行額',
'riyou_ryoukin':'利用料金収入',
'income_total':'収入計',
}
)
PSC_res_payments_df = PSC_res_payments_df.rename(
columns={
'periods':'経過年度',
'year':'スケジュール',
'shisetsu_seibihi':'施設整備費用',
'ijikanri_unneihi':'維持管理運営費用',
'monitoring_costs':'モニタリング等費用',
'kisai_shoukan_gaku':'起債償還額',
'kisai_risoku_gaku':'起債利息',
'payments_total':'支出計',
'net_payments':'収支(キャッシュ・フロー)',
}
)
PSC_pv_df = PSC_pv_df.rename(
columns={
'period':'経過年数',
'net_payments':'収支(キャッシュ・フロー)',
'discount_factor':'割引係数',
'present_value':'収支(キャッシュ・フロー)現在価値',
}
)
LCC_res_income_df = LCC_res_income_df.rename(
columns={
'periods':'経過年度',
'year':'スケジュール',
'hojokin':'補助金',
'kouhukin':'交付金',
'kisai_gaku':'起債発行額',
'zeishu':'税収',
'income_total':'収入計',
}
)
LCC_res_payments_df = LCC_res_payments_df.rename(
columns={
'periods':'経過年度',
'year':'スケジュール',
'shisetsu_seibihi_ikkatsu':'施設整備対価(一括払)',
'shisetsu_seibihi_kappuganpon':'施設整備対価(割賦元本)',
'shisetsu_seibihi_kappukinri':'施設整備対価(割賦金利)',
'ijikanri_unneihi':'維持管理費対価',
'monitoring_costs':'モニタリング等費用',
'SPC_keihi':'SPC費用',
'kisai_shoukan_gaku':'起債償還額',
'kisai_risoku_gaku':'起債利息',
'payments_total':'支出計',
'net_payments':'収支',
}
)
LCC_pv_df = LCC_pv_df.rename(
columns={
'period':'経過年数',
'net_payments':'収支(キャッシュ・フロー)',
'discount_factor':'割引係数',
'present_value':'収支(キャッシュ・フロー)現在価値',
}
)
SPC_res_income_df = SPC_res_income_df.rename(
columns={
'periods':'経過年度',
'year':'スケジュール',
'shisetsu_seibihi_taika_ikkatsu':'施設整備対価(一括払)',
'shisetsu_seibihi_taika_kappuganpon':'施設整備対価(割賦元本)',
'shisetsu_seibihi_taika_kappukinri':'施設整備対価(割賦金利)',
'ijikanri_unneihi_taika':'維持管理費対価',
'SPC_hiyou_taika':'SPC費用対価',
'riyou_ryoukin':'利用料金収入',
'income_total':'収入計',
}
)
SPC_res_payments_df = SPC_res_payments_df.rename(
columns={
'periods':'経過年度',
'year':'スケジュール',
'shisetsu_seibihi':'施設整備費用',
'ijikanri_unneihi':'維持管理費',
'kariire_ganpon_hensai':'(借入元本返済)',
'shiharai_risoku':'支払利息',
'SPC_keihi':'SPC経費',
'SPC_setsuritsuhi':'SPC当初費用(設立費用、予備費)',
'houjinzei_etc':'法人税・公租公課',
'payments_total':'支出計',
'net_income':'収支(キャッシュ・フロー)',
}
)
SPC_check_df = SPC_check_df.rename(
columns={
'year':'スケジュール',
'income_total':'収入計',
'kariire_ganpon_hensai':'借入元本返済',
'payments_total':'支出計',
'net_income':'収支(キャッシュ・フロー)',
'Cash_for_P_payment':'元本返済充当可能額',
'P_payment_check':'元本返済可否',
}
)
Risk_res_df = Risk_res_df.rename(
columns={
'risk_adjust_gaku':'リスク調整額',
}
)
res_summ_df = res_summ_df.rename(
columns={
'VFM_percent':'VFM(%)',
'PSC_present_value':'PSCでの公共キャッシュ・フロー現在価値',
'LCC_present_value':'PFI-LCCでの公共キャッシュ・フロー現在価値',
'PIRR':'プロジェクト内部収益率(%)',
'SPC_payment_cash':'SPCの元本返済可否',
'mgmt_type':'発注者区分',
'proj_ctgry':'事業形態',
'proj_type':'事業方式',
'const_years':'施設整備期間',
'proj_years':'事業期間',
'discount_rate':'割引率(%)',
'kariire_kinri':'借入コスト(%)',
'Kappu_kinri':'割賦金利(%)',
'kappu_kinri_spread':'割賦スプレッド(%)',
'SPC_fee':'SPCへの手数料(百万円)',
}
)
# 最終入力・パラメータの表を作成
simpledt_finalinputs_df = DataFrame(self.final_inputs_df)
simpledt_finalinputs_dt = simpledt_finalinputs_df.datatable
self.table_finalinputs = simpledt_finalinputs_dt
simpledt_PSC_income_df = DataFrame(PSC_res_income_df)
simpledt_PSC_income_dt = simpledt_PSC_income_df.datatable
self.table_PSC_income = simpledt_PSC_income_dt
simpledt_PSC_payments_df = DataFrame(PSC_res_payments_df)
simpledt_PSC_payments_dt = simpledt_PSC_payments_df.datatable
simpledt_PSC_payments_dt.column_spacing = 10
simpledt_PSC_payments_dt.headline_row_height =30
self.table_PSC_payments = simpledt_PSC_payments_dt
PSC_pv_df['経過年数'] = PSC_pv_df['経過年数'].apply(lambda i: int(i))
simpledt_PSC_pv_df = DataFrame(PSC_pv_df)
simpledt_PSC_pv_dt = simpledt_PSC_pv_df.datatable
self.table_PSC_pv = simpledt_PSC_pv_dt
LCC_pv_df['経過年数'] = LCC_pv_df['経過年数'].apply(lambda i: int(i))
simpledt_LCC_income_df = DataFrame(LCC_res_income_df)
simpledt_LCC_income_dt = simpledt_LCC_income_df.datatable
self.table_LCC_income = simpledt_LCC_income_dt
simpledt_LCC_payments_df = DataFrame(LCC_res_payments_df)
simpledt_LCC_payments_dt = simpledt_LCC_payments_df.datatable
simpledt_LCC_payments_dt.column_spacing = 10
simpledt_LCC_payments_dt.headline_row_height =30
self.table_LCC_payments = simpledt_LCC_payments_dt
simpledt_LCC_pv_df = DataFrame(LCC_pv_df)
simpledt_LCC_pv_dt = simpledt_LCC_pv_df.datatable
self.table_LCC_pv = simpledt_LCC_pv_dt
simpledt_SPC_income_df = DataFrame(SPC_res_income_df)
simpledt_SPC_income_dt = simpledt_SPC_income_df.datatable
self.table_SPC_income = simpledt_SPC_income_dt
simpledt_SPC_payments_df = DataFrame(SPC_res_payments_df)
simpledt_SPC_payments_dt = simpledt_SPC_payments_df.datatable
self.table_SPC_payments = simpledt_SPC_payments_dt
simpledt_SPC_check_df = DataFrame(SPC_check_df)
simpledt_SPC_check_dt = simpledt_SPC_check_df.datatable
self.table_SPC_check = simpledt_SPC_check_dt
simpledt_Risk_df = DataFrame(Risk_res_df)
simpledt_Risk_dt = simpledt_Risk_df.datatable
self.table_Risk = simpledt_Risk_dt
res_summ_df_t = res_summ_df.transpose().reset_index()
res_summ_df_t = res_summ_df_t.rename(columns={"index":"項目名", 0:"値"})
simpledt_res_summ_df = DataFrame(res_summ_df_t)
simpledt_res_summ_dt = simpledt_res_summ_df.datatable
self.table_res_summ = simpledt_res_summ_dt
lv_01 = ft.ListView(
expand=True, spacing=10, padding=10, auto_scroll=True, horizontal=False
)
lv_01.controls.append(ft.Text('算定結果要約'))
lv_01.controls.append(self.table_res_summ)
lv_02 = ft.ListView(
expand=True, spacing=10, padding=10, auto_scroll=True, horizontal=False
)
lv_02.controls.append(ft.Text('PSCでの公共側収支(収入)'))
lv_02.controls.append(self.table_PSC_income)
lv_02.controls.append(ft.Text('PSCでの公共側収支(支出)'))
lv_02.controls.append(self.table_PSC_payments)
lv_02.controls.append(ft.Divider())
lv_02.controls.append(ft.Text('PSCでの公共側キャッシュ・フローとその現在価値'))
lv_02.controls.append(self.table_PSC_pv)
lv_02.controls.append(ft.Divider())
lv_02.controls.append(ft.Text('PFI-LCCでの公共側収支(収入)'))
lv_02.controls.append(self.table_LCC_income)
lv_02.controls.append(ft.Text('PFI-LCCでの公共側収支(支出)'))
lv_02.controls.append(self.table_LCC_payments)
lv_02.controls.append(ft.Divider())
lv_02.controls.append(ft.Text('PFI-LCCでの公共側キャッシュ・フローとその現在価値'))
lv_02.controls.append(self.table_LCC_pv)
lv_02.controls.append(ft.Divider())
lv_02.controls.append(ft.Text('PSCへのリスク調整'))
lv_02.controls.append(self.table_Risk)
lv_03 = ft.ListView(
expand=True, spacing=10, padding=10, auto_scroll=True, horizontal=False
)
lv_03.controls.append(ft.Text('PFI-LCCでのSPC側収支(収入)'))
lv_03.controls.append(self.table_SPC_income)
lv_03.controls.append(ft.Text('PFI-LCCでのSPC側収支(支出)'))
lv_03.controls.append(self.table_SPC_payments)
lv_03.controls.append(ft.Divider())
lv_03.controls.append(ft.Text('PFI-LCCでのSPCの返済資金確認結果'))
lv_03.controls.append(self.table_SPC_check)
lv_04 = ft.ListView(
expand=True, spacing=10, padding=10, auto_scroll=True, horizontal=False
)
lv_04.controls.append(ft.Text('入力値・パラメータ等一覧'))
lv_04.controls.append(self.table_finalinputs)
return ft.Tabs(
selected_index=1,
animation_duration=300,
tabs=[
ft.Tab(
text="結果・入力の要約",
content=ft.Card(
content=ft.Container(
content=ft.Column(
controls=[
#self.graph,
lv_01,
],
alignment=ft.MainAxisAlignment.SPACE_AROUND,
),
width=2100,
padding=10,
)
),
),
ft.Tab(
text="PSC,LCCでの公共側収支等",
content=ft.Card(
content=ft.Container(
content=ft.Column(
controls=[
#self.graph,
lv_02,
],
alignment=ft.MainAxisAlignment.SPACE_AROUND,
),
width=2100,
padding=10,
)
)
),
ft.Tab(
text="SPC収支等",
content=ft.Card(
content=ft.Container(
content=ft.Column(
controls=[
#self.graph,
lv_03,
],
alignment=ft.MainAxisAlignment.SPACE_AROUND,
),
width=2100,
padding=10,
)
)
),
ft.Tab(
text="入力値等一覧",
content=ft.Card(
content=ft.Container(
content=ft.Column(
controls=[
#self.graph,
lv_04,
],
alignment=ft.MainAxisAlignment.SPACE_AROUND,
),
width=2100,
padding=10,
)
)
),
],
)