feat(web): стабилизация UI, Gemini-скроллинг, роутеры контекста/снапшотов и актуализация роадмапа

This commit is contained in:
2026-09-07 17:29:21 +03:00
parent 1bb95cd8e1
commit d391a08224
33 changed files with 7768 additions and 1832 deletions
+95 -57
View File
@@ -1,6 +1,9 @@
"""
Модуль автоматического экспорта данных СКУД (Orion) из MS SQL Server в SQLite и Excel.
Добавлена фиксация Первой Активности (без учета направления) и среза по времени.
===============================================================================
FILE: services/scud_export.py
ROLE: Прямой экспорт данных СКУД Орион (MS SQL) в SQLite и чистый Excel (XlsxWriter).
Корректная фильтрация транзитных проходов турникетов парковки и двора.
===============================================================================
"""
import argparse
@@ -10,9 +13,14 @@ import sys
import warnings
from datetime import datetime, timedelta
CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
ROOT_DIR = os.path.abspath(os.path.join(CURRENT_DIR, ".."))
if ROOT_DIR not in sys.path:
sys.path.insert(0, ROOT_DIR)
import pandas as pd
import pyodbc
from openpyxl.utils import get_column_letter
import xlsxwriter
from config import SCUD_DIR, clean_scud_fio_light, load_exceptions
from core.database import save_scud_to_db, has_scud_logs_for_date, has_yesterday_final_snapshot
@@ -31,12 +39,17 @@ logger.setLevel(logging.INFO)
logger.propagate = False
if not logger.handlers:
_file_handler = logging.FileHandler(LOG_FILE, encoding="utf-8")
try:
_file_handler = logging.FileHandler(LOG_FILE, encoding="utf-8")
_formatter = logging.Formatter("[%(asctime)s] [%(levelname)s] %(message)s", datefmt="%Y-%m-%d %H:%M:%S")
_file_handler.setFormatter(_formatter)
logger.addHandler(_file_handler)
except (PermissionError, OSError) as e:
sys.stderr.write(f"Предупреждение: невозможно создать лог-файл {LOG_FILE}: {e}\n")
_console_handler = logging.StreamHandler(sys.stdout)
_formatter = logging.Formatter("[%(asctime)s] [%(levelname)s] %(message)s", datefmt="%Y-%m-%d %H:%M:%S")
_file_handler.setFormatter(_formatter)
_console_handler.setFormatter(_formatter)
logger.addHandler(_file_handler)
logger.addHandler(_console_handler)
@@ -73,8 +86,8 @@ WITH DailyLogs AS (
log.Event,
log.Mode,
CASE
WHEN log.Mode = 2 OR log.Event IN (29, 27, 33) THEN 'OUT'
WHEN log.Mode = 1 OR log.Event IN (28, 26, 32) THEN 'IN'
WHEN log.Mode = 2 OR log.Event IN (2, 27, 29, 33, 55, 65) THEN 'OUT'
WHEN log.Mode = 1 OR log.Event IN (1, 21, 26, 28, 32, 54, 64) THEN 'IN'
ELSE 'OTHER'
END AS Direction,
ROW_NUMBER() OVER (PARTITION BY log.HozOrgan ORDER BY log.TimeVal DESC) AS RowNumDesc
@@ -82,7 +95,7 @@ WITH DailyLogs AS (
WHERE log.TimeVal BETWEEN @StartDate AND @EndDate
AND log.HozOrgan IS NOT NULL
AND log.HozOrgan > 0
AND log.Event IN (26, 27, 28, 29, 32, 33, 54, 55, 64, 65)
AND log.Event IN (1, 2, 21, 26, 27, 28, 29, 32, 33, 54, 55, 64, 65)
),
Passages AS (
SELECT
@@ -90,10 +103,22 @@ Passages AS (
MIN(TimeVal) AS FirstRawEvent,
MAX(TimeVal) AS LastRawEvent,
MIN(CASE WHEN Direction = 'IN' THEN TimeVal END) AS FirstIn,
MAX(CASE WHEN Direction = 'OUT' THEN TimeVal END) AS LastOut,
MAX(CASE WHEN RowNumDesc = 1 THEN Direction END) AS LastEventType
-- Реальный выход: должен быть позже входа минимум на 5 минут (отсекает проезд через шлагбаум/парковку)
MAX(CASE WHEN Direction = 'OUT' THEN TimeVal END) AS RawLastOut
FROM DailyLogs
GROUP BY EmployeeID
),
EvaluatedPassages AS (
SELECT
p.*,
CASE
WHEN p.RawLastOut IS NOT NULL
AND p.FirstIn IS NOT NULL
AND p.RawLastOut > DATEADD(MINUTE, 5, p.FirstIn)
THEN p.RawLastOut
ELSE NULL
END AS FilteredLastOut
FROM Passages p
)
SELECT
N'ЛЕНМОРНИИПРОЕКТ' AS [Фирма],
@@ -115,12 +140,8 @@ SELECT
ELSE N'—'
END AS [Первая_активность],
CASE
WHEN @TargetDate = CAST(GETDATE() AS DATE) AND (pass.LastEventType = 'IN' OR pass.LastOut IS NULL OR pass.LastOut <= pass.FirstIn)
THEN N'Нет выхода'
WHEN pass.LastOut IS NOT NULL AND pass.LastOut > pass.FirstIn
THEN CAST(CONVERT(VARCHAR(8), pass.LastOut, 108) AS NVARCHAR(20))
WHEN @TargetDate < CAST(GETDATE() AS DATE) AND pass.LastRawEvent IS NOT NULL AND pass.LastRawEvent > ISNULL(pass.FirstIn, pass.FirstRawEvent)
THEN CAST(CONVERT(VARCHAR(8), pass.LastRawEvent, 108) AS NVARCHAR(20))
WHEN pass.FilteredLastOut IS NOT NULL
THEN CAST(CONVERT(VARCHAR(8), pass.FilteredLastOut, 108) AS NVARCHAR(20))
ELSE N'Нет выхода'
END AS [Конец_дня],
CASE
@@ -128,14 +149,16 @@ SELECT
RIGHT('0' + CAST(DATEDIFF(MINUTE,
ISNULL(pass.FirstIn, pass.FirstRawEvent),
CASE
WHEN @TargetDate = CAST(GETDATE() AS DATE) AND (pass.LastEventType = 'IN' OR pass.LastOut IS NULL OR pass.LastOut <= pass.FirstIn) THEN GETDATE()
ELSE ISNULL(pass.LastOut, pass.LastRawEvent)
WHEN pass.FilteredLastOut IS NOT NULL THEN pass.FilteredLastOut
WHEN @TargetDate = CAST(GETDATE() AS DATE) THEN GETDATE()
ELSE ISNULL(pass.FirstIn, pass.FirstRawEvent)
END) / 60 AS VARCHAR), 2) + ':' +
RIGHT('0' + CAST(DATEDIFF(MINUTE,
ISNULL(pass.FirstIn, pass.FirstRawEvent),
CASE
WHEN @TargetDate = CAST(GETDATE() AS DATE) AND (pass.LastEventType = 'IN' OR pass.LastOut IS NULL OR pass.LastOut <= pass.FirstIn) THEN GETDATE()
ELSE ISNULL(pass.LastOut, pass.LastRawEvent)
WHEN pass.FilteredLastOut IS NOT NULL THEN pass.FilteredLastOut
WHEN @TargetDate = CAST(GETDATE() AS DATE) THEN GETDATE()
ELSE ISNULL(pass.FirstIn, pass.FirstRawEvent)
END) % 60 AS VARCHAR), 2)
ELSE N'00:00'
END AS [Находился_в_здании],
@@ -146,7 +169,7 @@ SELECT
FROM pList p WITH (NOLOCK)
LEFT JOIN PDivision div WITH (NOLOCK) ON p.Section = div.ID
LEFT JOIN PPost post WITH (NOLOCK) ON p.Post = post.ID
LEFT JOIN Passages pass ON p.ID = pass.EmployeeID
LEFT JOIN EvaluatedPassages pass ON p.ID = pass.EmployeeID
WHERE
ISNULL(p.StatusRecord, 0) = 0
AND p.DateTimeInArchive IS NULL
@@ -164,24 +187,54 @@ ORDER BY p.Name ASC;
"""
def auto_fit_columns(file_path: str, sheet_name: str, padding: float = 2.0, min_width: float = 8.0, max_width: float = 60.0):
from openpyxl import load_workbook
def save_df_to_clean_excel(df: pd.DataFrame, file_path: str, sheet_name: str = "Отчет"):
workbook = xlsxwriter.Workbook(file_path, {'constant_memory': False})
worksheet = workbook.add_worksheet(sheet_name)
wb = load_workbook(file_path)
ws = wb[sheet_name]
fmt_header = workbook.add_format({
'bold': True,
'bg_color': '#D9E1F2',
'border': 1,
'border_color': '#D3D3D3',
'align': 'center',
'valign': 'vcenter',
'font_name': 'Calibri',
'font_size': 11
})
for col_cells in ws.columns:
max_len = 0
col_letter = get_column_letter(col_cells[0].column)
for cell in col_cells:
if cell.value is not None:
cell_len = len(str(cell.value))
if cell_len > max_len:
max_len = cell_len
width = max(min_width, min(max_len + padding, max_width))
ws.column_dimensions[col_letter].width = width
fmt_cell = workbook.add_format({
'border': 1,
'border_color': '#D3D3D3',
'valign': 'vcenter',
'align': 'left',
'font_name': 'Calibri',
'font_size': 11
})
wb.save(file_path)
headers = list(df.columns)
col_widths = [len(str(h)) for h in headers]
for col_idx, header in enumerate(headers):
worksheet.write(0, col_idx, str(header), fmt_header)
for row_idx, row_values in enumerate(df.values, start=1):
for col_idx, val in enumerate(row_values):
if pd.isna(val) or val is None:
val_str = ""
elif isinstance(val, bool):
val_str = "Да" if val else "Нет"
else:
val_str = str(val)
worksheet.write(row_idx, col_idx, val_str, fmt_cell)
if len(val_str) > col_widths[col_idx]:
col_widths[col_idx] = len(val_str)
for col_idx, width in enumerate(col_widths):
worksheet.set_column(col_idx, col_idx, min(max(width + 3, 10), 45))
workbook.close()
def get_targets(input_date: str | None):
@@ -230,8 +283,6 @@ def run_export(input_date: str | None = None, save_xlsx: bool = True, debug: boo
period_label = target["name"]
is_yesterday = (period_label == "Вчера")
# ⚡️ ПРОВЕРКА НАЛИЧИЯ ВЧЕРАШНЕГО ДНЯ В SQLITE:
# Если это вчерашний день и его снапшот уже зафиксирован в SQLite — пропускаем тяжелый запрос к MS SQL
if is_yesterday and has_yesterday_final_snapshot(processing_date_str):
log(f"[ℹ️] Вчерашний день ({processing_date_str}) уже зафиксирован финишным снапшотом Y. Пропускаем запрос к MS SQL.")
continue
@@ -273,8 +324,7 @@ def run_export(input_date: str | None = None, save_xlsx: bool = True, debug: boo
except OSError as e:
log(f"ОШИБКА при удалении старого файла {file_name}: {e}", "ERROR")
df.to_excel(file_path, sheet_name="Отчет", index=False, engine="openpyxl")
auto_fit_columns(file_path, sheet_name="Отчет")
save_df_to_clean_excel(df, file_path, sheet_name="Отчет")
log(f"[✓] Успешно экспортирован файл: data/scud/{file_name}", "SUCCESS")
else:
log(f"Запрос за {processing_date_str} вернул 0 строк.", "WARNING")
@@ -291,22 +341,10 @@ def run_export(input_date: str | None = None, save_xlsx: bool = True, debug: boo
if __name__ == "__main__":
help_text = """
Модуль прямого экспорта данных СКУД Орион Pro (MS SQL Server) в SQLite и Excel.
ПРИМЕРЫ ЗАПУСКА:
python services/scud_export.py -- Автоматическая выгрузка за Сегодня и Вчера
python services/scud_export.py --date 05.08.2026 -- Точечная выгрузка СКУД за конкретную дату
python services/scud_export.py --no-xlsx -- Сохранение логов СКУД ТОЛЬКО в SQLite без дублирования в XLSX
python services/scud_export.py -d -- Запуск в режиме отладки MS SQL запросов (DEBUG)
"""
parser = argparse.ArgumentParser(
description=help_text,
formatter_class=argparse.RawDescriptionHelpFormatter
)
parser.add_argument("--date", dest="input_date", default=None, help="Дата выгрузки в формате ДД.ММ.ГГГГ (по умолчанию выгружаются Вчера и Сегодня)")
parser.add_argument("-d", "--debug", action="store_true", help="Включить подробные логи отладки подключения и запросов к MS SQL")
parser.add_argument("--no-xlsx", dest="save_xlsx", action="store_false", default=True, help="Отключить генерирование промежуточных XLSX-файлов в папке data/scud/")
parser = argparse.ArgumentParser()
parser.add_argument("--date", dest="input_date", default=None)
parser.add_argument("-d", "--debug", action="store_true")
parser.add_argument("--no-xlsx", dest="save_xlsx", action="store_false", default=True)
args = parser.parse_args()
run_export(args.input_date, save_xlsx=args.save_xlsx, debug=args.debug)