Вьюшка: "Каталог / Типовые серии зданий / Информация по серии" -- готово

This commit is contained in:
2022-12-26 17:19:01 +03:00
parent 74a28470c1
commit 2eea80f557
10 changed files with 928 additions and 39 deletions

View File

@@ -2,15 +2,18 @@
from django.core.exceptions import ObjectDoesNotExist
from django.shortcuts import render, redirect
from django.http import HttpRequest, HttpResponse
from django.template.loader import render_to_string
from django.utils import timezone
from oknardia.settings import *
from oknardia.models import PVCprofiles, Seria_Info
from oknardia.models import PVCprofiles, Seria_Info, Win_MountDim, Building_Info
from web.report1 import get_last_all_user_visit_list, get_last_user_visit_cookies, get_last_user_visit_list
from web.add_func import normalize, get_rating_set_for_stars
from web.add_func import normalize, get_rating_set_for_stars, get_flaps_for_big_pictures
import time
import json
import random
import re
import os
import math
import pytils
@@ -193,7 +196,7 @@ def catalog_profile_model(request: HttpRequest, manufacture_id: int, manufacture
list_other = []
for i in q_pvc_by_id.sProfileOther.split(";"):
j = i.find(":")
list_other.append(u"<b>" + i[:j+1] + u"</b>" + i[j+1:])
list_other.append(u"<b>" + i[:j + 1] + u"</b>" + i[j + 1:])
to_template.update({"LIST_OTHER": list_other})
q_merchant = PVCprofiles.objects.raw(f"SELECT"
f" COUNT(oknardia_priceoffer.id) AS offers_by_merchant,"
@@ -279,7 +282,7 @@ def catalog_profile_model(request: HttpRequest, manufacture_id: int, manufacture
# получаем последние визиты всех посетителей из базы
# id2log, log_visit = get_last_all_user_visit_list()
'LOG_VISIT': get_last_all_user_visit_list(),
'ticks': float(time.time()-time_start)
'ticks': float(time.time() - time_start)
})
return render(request, "catalog/catalog_of_profiles_model.html", to_template)
@@ -300,7 +303,7 @@ def catalog_profile_manufacture(request: HttpRequest, manufacture_id: int, manuf
return redirect(f'/catalog/profile/{manufacture_id}-'
f'{pytils.translit.slugify(q_pvc_by_id.sProfileManufacturer)}')
else:
q_pvc_by_id = PVCprofiles.objects.order_by('id')\
q_pvc_by_id = PVCprofiles.objects.order_by('id') \
.filter(sProfileManufacturer=q_pvc_by_id.sProfileManufacturer).first()
if q_pvc_by_id.id != manufacture_id:
return redirect(f'/catalog/profile/{q_pvc_by_id.id}-'
@@ -332,7 +335,7 @@ def catalog_profile_manufacture(request: HttpRequest, manufacture_id: int, manuf
0, re.IGNORECASE)})
to_template.update({'TIZER': re.sub(r'<script[\s\S]*?</script>|<style[\s\S]*?</style>|<iframe[\s\S]*?</iframe>',
'', to_template["CONTENT"], 0, re.IGNORECASE)})
except (ObjectDoesNotExist, IndexError, TypeError, KeyError, ):
except (ObjectDoesNotExist, IndexError, TypeError, KeyError,):
pass
q_profiles = PVCprofiles.objects.raw(
f"SELECT oknardia_pvcprofiles.id,"
@@ -373,8 +376,8 @@ def catalog_profile_manufacture(request: HttpRequest, manufacture_id: int, manuf
to_template.update({
'OFFERS_BY_MAUFACTURE': q_share_of_offers.offers_by_maufacture,
'OFFERS_OTHER': q_share_of_offers.offers_other,
'OFFERS_ANGLE': 90+180*normalize(q_share_of_offers.offers_by_maufacture,
q_share_of_offers.offers_other + q_share_of_offers.offers_by_maufacture)
'OFFERS_ANGLE': 90 + 180 * normalize(q_share_of_offers.offers_by_maufacture,
q_share_of_offers.offers_other + q_share_of_offers.offers_by_maufacture)
})
if q_share_of_offers is not None and q_share_of_offers.offers_by_maufacture != 0:
q_merchant = PVCprofiles.objects.raw(
@@ -410,15 +413,15 @@ def catalog_profile_manufacture(request: HttpRequest, manufacture_id: int, manuf
"MERCHANT_OFFERS": i.offers_by_merchant
})
to_template.update({'MERCHANTS': list_merchant})
except (ObjectDoesNotExist, IndexError, TypeError): # вообще-то, запрос q_share_of_offers всегда что-то вернёт,
pass # но на всякий случай
except (ObjectDoesNotExist, IndexError, TypeError): # вообще-то, запрос q_share_of_offers всегда что-то вернёт,
pass # но на всякий случай
to_template.update({
# получаем последние визиты клиента через куки
'LAST_VISIT': get_last_user_visit_list(get_last_user_visit_cookies(request)[:3]),
# получаем последние визиты всех посетителей из базы
# id2log, log_visit = get_last_all_user_visit_list()
'LOG_VISIT': get_last_all_user_visit_list(),
'ticks': float(time.time()-time_start)
'ticks': float(time.time() - time_start)
})
return render(request, "catalog/catalog_of_profiles_manufacture.html", to_template)
@@ -449,7 +452,7 @@ def catalog_seria(request: HttpRequest) -> HttpResponse:
"NAME_T": pytils.translit.slugify(i.sName)
})
to_template = {'SERIAS': list_seria}
except (ObjectDoesNotExist, ):
except (ObjectDoesNotExist,):
to_template = {}
to_template.update({
# получаем последние визиты клиента через куки
@@ -459,4 +462,350 @@ def catalog_seria(request: HttpRequest) -> HttpResponse:
'LOG_VISIT': get_last_all_user_visit_list(),
'ticks': float(time.time() - time_start)
})
return render(request, "catalog/catalog_seria.html", to_template)
return render(request, "catalog/catalog_seria.html", to_template)
def catalog_seria_info(request: HttpRequest, seria_name_translit: str = "II-49", seria_id: int = 12) -> HttpResponse:
"""
КАТАЛОГ ТИПОВЫЙ СЕРИЙ: страница детальной информацией по серии зданий
:param request: HttpRequest -- входящий http-запрос
:param seria_name_translit: str -- имя серии здания (транслитерированное pytils.translit.slugify())
:param seria_id: int -- id серии
:return response: HttpResponse -- исходящий http-ответ
"""
time_start = time.time()
msg = ""
try:
seria_id = int(seria_id)
q_seria = Seria_Info.objects.get(id=seria_id)
if q_seria.id != q_seria.kRoot_id or seria_name_translit != pytils.translit.slugify(q_seria.sName):
return redirect(f"/catalog/seria/{pytils.translit.slugify(q_seria.sName)}/all{seria_id}")
except(ObjectDoesNotExist, ValueError,):
return redirect("/catalog/")
# если есть "облегченный" шаблон с частичным пре-рендером, то используем его.
light_template = f"{PATH_FOR_SERIA_INFO_HTML_INCLUDE}{str(seria_id)}_id.html"
light_template_w_path = f"{TEMPLATES[0]['DIRS'][0]}/{light_template}"
# print(f"{TEMPLATES[0]['DIRS'][0]}/{light_template}")
# print(light_template_w_path)
if os.path.isfile(light_template_w_path):
is_hard_template = False
else:
is_hard_template = True
to_template = {}
# получаем проемы использующиеся в данной серии домов
q_windows_in_seria = Win_MountDim.objects.raw(
f"SELECT DISTINCT"
f" oknardia_win_mountdim.iWinWidth, oknardia_win_mountdim.iWinHight,"
f" oknardia_win_mountdim.sDescripion, oknardia_win_mountdim.bIsDoor,"
f" oknardia_win_mountdim.bIsNearDoor, oknardia_win_mountdim.sFlapConfig,"
f" oknardia_win_mountdim.iWinDepth, oknardia_win_mountdim.id,"
f" 1 AS iQuantity "
f"FROM oknardia_mountdim2apartment"
f" INNER JOIN oknardia_win_mountdim"
f" ON oknardia_mountdim2apartment.kMountDim_id = oknardia_win_mountdim.id"
f" INNER JOIN oknardia_apartment_type"
f" ON oknardia_mountdim2apartment.kApartment_id = oknardia_apartment_type.id "
f"WHERE oknardia_apartment_type.kSeria_id = {seria_id}"
f" ORDER BY oknardia_win_mountdim.bIsNearDoor DESC,"
f" oknardia_win_mountdim.bIsDoor DESC,"
f" oknardia_win_mountdim.iWinWidth,"
f" oknardia_win_mountdim.iWinHight DESC;")
if is_hard_template:
# Получаем данные для отрисовки больших картинок с проёмами и передаём в "тяжёлый" шаблон
to_template.update(get_flaps_for_big_pictures(q_windows_in_seria))
# формируем строку для включения в SQL-запрос вида "(2,8,16,46,1)"
str_for_sql_in = "("
for count in q_windows_in_seria:
str_for_sql_in += str(count.id) + ","
str_for_sql_in = str_for_sql_in[:-1] + ")"
# print StringForSqlIN
# Получаем данные для таблички Окон по типам квартирах в серии дома
# " IFNULL(oknardia_mountdim2apartment.iQuantity, 0) AS iQuantity," \
# tStart2 = time.time() # замер времени
q_win_in_apartment_in_seria = Win_MountDim.objects.raw(
f"SELECT"
f" oknardia_win_mountdim.id,"
f" oknardia_apartment_type.sNameApartment,"
f" oknardia_win_mountdim.iWinWidth,"
f" oknardia_win_mountdim.iWinHight,"
f" oknardia_apartment_type.id AS id_apart,"
f" IFNULL(oknardia_mountdim2apartment.iQuantity, 0) AS iQuantity,"
f" COUNT(oknardia_priceoffer.id) AS NumOffers "
f"FROM oknardia_apartment_type"
f" INNER JOIN oknardia_win_mountdim"
f" LEFT OUTER JOIN oknardia_mountdim2apartment"
f" ON oknardia_mountdim2apartment.kMountDim_id = oknardia_win_mountdim.id"
f" AND oknardia_mountdim2apartment.kApartment_id = oknardia_apartment_type.id"
f" LEFT OUTER JOIN oknardia_priceoffer"
f" ON oknardia_priceoffer.kOffer2MountDim_id = oknardia_win_mountdim.id"
f" LEFT OUTER JOIN oknardia_ouruser"
f" ON oknardia_ouruser.id = oknardia_priceoffer.kOfferFromUser_id "
f"WHERE oknardia_apartment_type.kSeria_id = {seria_id} "
f"AND oknardia_win_mountdim.id IN {str_for_sql_in} "
f"GROUP BY oknardia_apartment_type.id,"
f" oknardia_apartment_type.sNameApartment,"
f" oknardia_win_mountdim.id,"
f" oknardia_mountdim2apartment.iQuantity "
f"ORDER BY oknardia_apartment_type.iSort,"
f" oknardia_win_mountdim.bIsNearDoor DESC,"
f" oknardia_win_mountdim.bIsDoor DESC,"
f" oknardia_win_mountdim.iWinWidth,"
f" oknardia_win_mountdim.iWinHight DESC;")
list_win_in_seria = list(q_windows_in_seria)
total_column = len(list_win_in_seria) - 1
count_column = 0
min_offer_in_row = 1000000000
table_of_win_in_seria_by_apartmment = []
row_for_table = []
offer_and_merchant_per_win = [
{
"WIN_OFFER": 0,
"WIN_MERCHANT": 0,
"WIN_W": list_win_in_seria[i].iWinWidth,
"WIN_H": list_win_in_seria[i].iWinHight,
"WIN_ID": list_win_in_seria[i].id
} for i in range(total_column + 1)]
for count in q_win_in_apartment_in_seria:
if count.iQuantity != 0:
row_for_table.append({
"WIN_NUM": [chr(65 + count_column)],
"WIN_Q": count.iQuantity,
"WIN_ID": count.id,
"WIN_WIDTH": list_win_in_seria[count_column].iWinWidth,
"WIN_HEIGHT": list_win_in_seria[count_column].iWinHight,
"WIN_DESCRIPTION": list_win_in_seria[count_column].sDescripion,
"WIN_FLAPCFG": list_win_in_seria[count_column].sFlapConfig
})
if min_offer_in_row > count.NumOffers:
min_offer_in_row = count.NumOffers
if offer_and_merchant_per_win[count_column]["WIN_OFFER"] < count.NumOffers:
offer_and_merchant_per_win[count_column]["WIN_OFFER"] = count.NumOffers
else:
row_for_table.append({"WIN_NUM": ""})
if count_column < total_column:
count_column += 1
else:
# print row_for_table
table_of_win_in_seria_by_apartmment.append({"WIN_IN_APART": row_for_table,
"APART_NAME": count.sNameApartment,
"APART_ID": count.id_apart,
"NUM_OFFERS": min_offer_in_row})
count_column = 0
min_offer_in_row = 10000
row_for_table = []
# print(table_of_win_in_seria_by_apartmment)
# print(f"==============>{float(time.time()-tStart2)}<==============")
# print NumOffersPerColumn, NumMerchantPerColumn
to_template.update({"WIN_OFFER_AND_MERCHANT": offer_and_merchant_per_win,
"TABLE_OF_WINDOWS": table_of_win_in_seria_by_apartmment})
# для "тяжелого шаблона" получаем навигацию страницы, данные для карты и графика ввода в эксплуатацию
if is_hard_template:
# если вызывается "тяжелый" шаблон, то нужно подготовить тяжелые данные для построения навигации
seria_id, for_seria_nav = seria_nav(seria_id)
to_template.update(for_seria_nav) # данные для навигации по сериям
to_template.update(seria_info_year(seria_id)) # данные для графика ввода зданий серии в эксплуатацию
to_template.update(seria_info_geo_code(seria_id)) # данные для карты
# т.к. обрабатывается "тяжелый шаблон" надо создать "легкий шаблон"
# для его использования в будущем.
string_prerender = render_to_string("seria_info/all_seria_info_pre_light.html", to_template)
file = open(light_template_w_path, 'w')
# file.write(AA.encode('utf-8'))
file.write(string_prerender)
file.close()
else:
seria_name = Seria_Info.objects.get(id=seria_id).sName
to_template.update({'THIS_SERIA_NAME': seria_name})
# to_template.update({'LOG_VISIT': GetLastAllUserVisitSeriaList(SeriaName),
# 'ticks': float(time.time()-time_start)})
to_template.update({
# получаем последние визиты клиента через куки
'LAST_VISIT': get_last_user_visit_list(get_last_user_visit_cookies(request)[:3]),
# получаем последние визиты всех посетителей из базы
# id2log, log_visit = get_last_all_user_visit_list()
'LOG_VISIT': get_last_all_user_visit_list(),
'ticks': float(time.time() - time_start)
})
return render(request, light_template, to_template)
def seria_nav(seria_id: int = 12) -> (int, dict):
"""
Возвращает корректный seria_id и кортеж для построения навигации по сериям дома
:param seria_id: id серии
:return:
"""
q_seria = Seria_Info.objects.raw(
'SELECT oknardia_seria_info.id,'
' oknardia_seria_info.sName,'
' oknardia_seria_info.sSeriaDescription,'
' oknardia_seria_info.kRoot_id,'
' oknardia_seria_info.kParent_id '
'FROM oknardia_seria_info '
'WHERE oknardia_seria_info.id = oknardia_seria_info.kRoot_id '
'ORDER BY oknardia_seria_info.sName;')
error_seria = True
for count_seria in q_seria:
if count_seria.id == int(seria_id):
error_seria = False
break
if error_seria:
# Ошибочный seria_id. Такой базовой серии нет и надо ее найти.
try:
query = Seria_Info.objects.get(id=int(seria_id))
if query.kRoot_id is not None:
# базовая серия прописана в kRoot_id
seria_id = query.kRoot_id
else:
# == корневой нет
# == ищем методом наименьших расстояний"
min_min = 100000000
min_id = seria_id
for count_seria in q_seria:
if math.fabs(int(seria_id) - count_seria.id) < min_min:
min_min = math.fabs(int(seria_id) - count_seria.id)
min_id = count_seria.id
seria_id = min_id
except ObjectDoesNotExist:
seria_id = q_seria[0].id
# print(f"-->{seria_id}<--")
return all_seria_nav(seria_id, q_seria)
def all_seria_nav(seria_id: int, q_seria) -> (int, dict):
seria_nav_dim = []
this_return = {}
for count_seria in q_seria:
one_seria = {}
one_seria.update({"SERIA_R": count_seria.sName, "ID2URL": count_seria.id})
if count_seria.id == seria_id:
this_return.update({"THIS_SERIA_NAME": count_seria.sName,
"THIS_SERIA_DESCRIPTION": count_seria.sSeriaDescription})
one_seria.update({"SERIA_L": ""})
else:
one_seria.update({"SERIA_L": pytils.translit.slugify(count_seria.sName)})
seria_nav_dim.append(one_seria)
this_return.update({"SERIA_NAV_DIM": seria_nav_dim})
return seria_id, this_return
def seria_info_year(seria_id: int = 12) -> dict:
""" Возвращает данные для графика распределения сдачи серии в эксплуатацию
:param seria_id: int -- id серии для которой нужно получить данные
:return: dict -- данные для графика распределения сдачи серии в эксплуатацию типа:
{"DATA4GRAPH": [{'YEAR': 1997, 'NUMS': 1, 'CLRS': '99'},
{'YEAR': 1998, 'NUMS': 15, 'CLRS': 'сс'},
{'YEAR': 1998, 'NUMS': 10, 'CLRS': 'a9'}
]
}
"""
seria_in_years = []
query = Seria_Info.objects.raw(
f"SELECT oknardia_building_info.iCommissioning_year as id,"
f" COUNT(oknardia_building_info.iCommissioning_year) AS NumInYear "
f"FROM oknardia_building_info"
f" INNER JOIN oknardia_seria_info"
f" ON oknardia_building_info.kSeria_Link_id = oknardia_seria_info.id "
f"WHERE oknardia_seria_info.kRoot_id = {seria_id} "
f"GROUP BY oknardia_building_info.iCommissioning_year;"
)
max_per_year = 0
graph_color_light = 0xCC # самый светлый цвет на графике (максимальное значение)
graph_color_dark = 0x99 # самый темный цвет на графике (минимальное значение)
for YearCount in query:
if int(YearCount.NumInYear) > max_per_year:
max_per_year = int(YearCount.NumInYear)
# print("max", MaxPerYear)
for YearCount in query:
data_of_year = {}
try:
data_of_year.update({
"YEAR": int(YearCount.id),
"NUMS": YearCount.NumInYear,
"CLRS": str(hex(int(graph_color_dark + YearCount.NumInYear * (
graph_color_light - graph_color_dark) / max_per_year)))[2:]
})
except ValueError:
continue
seria_in_years.append(data_of_year)
# print(seria_in_years)
return {"DATA4GRAPH": seria_in_years}
def seria_info_geo_code(seria_id: str = '12') -> dict:
""" Возвращает массив геокоординат зданий одной серии
:param seria_id: str -- id серии для которой нужно получить данные
:return: dict -- массив геокоординат зданий серии
"""
data_return = {}
seria_to_geo = []
municipal_m2 = 0 # муниципальный фонд (кв.м)
residential_m2 = 0 # жилой фонд (кв.м)
government_m2 = 0 # государственные учреждения занимают (кв.м.)
residents = 0 # количество жильцов
apartments = 0 # число квартиры
accounts = 0 # количество лицевых счетов
condition_max = 0 # максимальное значение показателя состояния здания
condition_min = 1000000 # минимальное значение показателя состояния здания
query = Building_Info.objects.raw(
f"SELECT"
f" oknardia_building_info.id,"
f" oknardia_seria_info.kRoot_id as SerId,"
f" oknardia_building_info.sAddress,"
f" oknardia_building_info.fResidential_Area,"
f" oknardia_building_info.fMunicipal_Area,"
f" oknardia_building_info.fGovernment_Area,"
f" oknardia_building_info.iNum_Residents,"
f" oknardia_building_info.iNum_Apartments,"
f" oknardia_building_info.iNum_Accounts,"
f" oknardia_building_info.fCondition_House,"
f" oknardia_building_info.fGeoCode_Latitude,"
f" oknardia_building_info.fGeoCode_Longitude "
f"FROM oknardia_building_info"
f" INNER JOIN oknardia_seria_info"
f" ON oknardia_building_info.kSeria_Link_id = oknardia_seria_info.id "
f"WHERE oknardia_seria_info.kRoot_id IN ({seria_id});"
)
for count in query:
if int(count.fGeoCode_Latitude) != 0 and int(count.fGeoCode_Longitude) != 0:
seria_to_geo.append({"LATITUDE": count.fGeoCode_Latitude,
"LONGITUDE": count.fGeoCode_Longitude,
"ADDR_ID": count.id,
"ADDR_LAT": pytils.translit.slugify(count.sAddress),
"ADDR_RUS": count.sAddress,
"SER_ID": count.SerId
})
if count.fMunicipal_Area > 0:
municipal_m2 += count.fMunicipal_Area
if count.fResidential_Area > 0:
residential_m2 += count.fResidential_Area
if count.fGovernment_Area > 0:
government_m2 += count.fGovernment_Area
if count.iNum_Residents > 0:
residents += count.iNum_Residents
if count.iNum_Residents > 0:
residents += count.iNum_Residents
if count.iNum_Apartments > 0:
apartments += count.iNum_Apartments
if count.iNum_Accounts > 0:
accounts += count.iNum_Accounts
if count.fCondition_House > 0:
if count.fCondition_House > condition_max:
condition_max = count.fCondition_House
if count.fCondition_House < condition_min:
condition_min = count.fCondition_House
data_return.update({"DATA4GEO": seria_to_geo,
"MUNICIPAL_M2": municipal_m2,
"RESIDENTIAL_M2": residential_m2,
"GOVERNMENT_M2": government_m2,
"RESIDENTS": residents,
"APARTMENTS": apartments,
"ACCOUNTS": accounts,
"CONDITION_MAX": condition_max,
"CONDITION_MIN": condition_min})
# print(seria_to_geo)
return data_return