161 lines
7.2 KiB
Python
161 lines
7.2 KiB
Python
import os
|
||
import logging
|
||
from datetime import date
|
||
import pyodbc
|
||
import pandas as pd
|
||
from config import DATA_DIR, normalize_fio
|
||
|
||
logger = logging.getLogger(__name__)
|
||
|
||
# Конфигурация MS SQL Server 1С:ЗУП 3.1
|
||
ZUP_SQL_CONFIG = {
|
||
"driver": "{ODBC Driver 18 for SQL Server}",
|
||
"server": os.getenv("ZUP_MS_SQL_SERVER", "192.168.1.10"), # Укажите IP MS SQL 1С
|
||
"database": os.getenv("ZUP_MS_SQL_DB", "zup_db"),
|
||
"user": os.getenv("ZUP_MS_SQL_USER", "sa"),
|
||
"password": os.getenv("ZUP_MS_SQL_PASS", "your_password"),
|
||
}
|
||
|
||
|
||
def get_zup_connection_string() -> str:
|
||
"""Формирует строку подключения pyodbc к MS SQL Server."""
|
||
return (
|
||
f"DRIVER={ZUP_SQL_CONFIG['driver']};"
|
||
f"SERVER={ZUP_SQL_CONFIG['server']};"
|
||
f"DATABASE={ZUP_SQL_CONFIG['database']};"
|
||
f"UID={ZUP_SQL_CONFIG['user']};"
|
||
f"PWD={ZUP_SQL_CONFIG['password']};"
|
||
f"TrustServerCertificate=yes;"
|
||
f"Encrypt=no;"
|
||
)
|
||
|
||
|
||
def fetch_zup_absences_from_sql(target_date: date) -> pd.DataFrame:
|
||
"""
|
||
Извлекает оперативные отсутствия и действующие декреты из MS SQL 1С:ЗУП 3.1
|
||
на указанную дату.
|
||
"""
|
||
query = """
|
||
DECLARE @TargetDate DATE = ?;
|
||
|
||
-- 1. Оперативные отсутствия (Отпуска, Командировки, Больничные, Отгулы)
|
||
SELECT
|
||
LTRIM(RTRIM(ref_emp._Description)) AS [ФИО],
|
||
CASE state._Fld16925RRef
|
||
WHEN 0x9C10B2452D414FDF4A90E2B2AB81D3F7 THEN N'Отпуск основной'
|
||
WHEN 0xBA63FCF94B4AD0664ED369D2E6505D67 THEN N'Командировка'
|
||
WHEN 0x8C3B61F23954155A40EB0108FC0932DB THEN N'Болезнь'
|
||
WHEN 0x853001C18D0965EE4B2702405C94054A THEN N'Отпуск неоплачиваемый по разрешению работодателя'
|
||
WHEN 0xB7335AEFD8708C3E462861FC59489A38 THEN N'Отпуск по беременности и родам'
|
||
ELSE N'Другое отсутствие'
|
||
END AS [Вид_отсутствия]
|
||
|
||
FROM dbo._InfoRg16921 state WITH (NOLOCK)
|
||
INNER JOIN dbo._Reference299 ref_emp WITH (NOLOCK)
|
||
ON state._Fld16922RRef = ref_emp._IDRRef
|
||
|
||
WHERE @TargetDate BETWEEN CAST(CASE WHEN YEAR(state._Fld16926) > 3000 THEN DATEADD(YEAR, -2000, state._Fld16926) ELSE state._Fld16926 END AS DATE)
|
||
AND CAST(CASE WHEN YEAR(state._Fld16927) > 3000 THEN DATEADD(YEAR, -2000, state._Fld16927) ELSE state._Fld16927 END AS DATE)
|
||
|
||
UNION ALL
|
||
|
||
-- 2. Динамический выбор ДЕЙСТВУЮЩИХ декретниц по уходу за ребенком
|
||
SELECT
|
||
active_state.fio AS [ФИО],
|
||
N'Отпуск по уходу за ребенком' AS [Вид_отсутствия]
|
||
|
||
FROM (
|
||
SELECT
|
||
LTRIM(RTRIM(ref_emp._Description)) AS fio,
|
||
all_states._Fld16925RRef AS state_guid,
|
||
CAST(CASE WHEN YEAR(all_states._Fld16926) > 3000 THEN DATEADD(YEAR, -2000, all_states._Fld16926) ELSE all_states._Fld16926 END AS DATE) AS date_start,
|
||
ROW_NUMBER() OVER (
|
||
PARTITION BY all_states._Fld16922RRef
|
||
ORDER BY all_states._Fld16926 DESC
|
||
) AS rn
|
||
FROM dbo._InfoRg16921 all_states WITH (NOLOCK)
|
||
INNER JOIN dbo._Reference299 ref_emp WITH (NOLOCK)
|
||
ON all_states._Fld16922RRef = ref_emp._IDRRef
|
||
WHERE CAST(CASE WHEN YEAR(all_states._Fld16926) > 3000 THEN DATEADD(YEAR, -2000, all_states._Fld16926) ELSE all_states._Fld16926 END AS DATE) <= @TargetDate
|
||
) active_state
|
||
|
||
WHERE active_state.rn = 1
|
||
AND active_state.state_guid = 0xA4FBA038663B3C2A48DA151C262855E1
|
||
AND active_state.date_start >= DATEADD(YEAR, -3, @TargetDate)
|
||
|
||
ORDER BY [ФИО] ASC;
|
||
"""
|
||
|
||
conn_str = get_zup_connection_string()
|
||
with pyodbc.connect(conn_str) as conn:
|
||
df = pd.read_sql(query, conn, params=[target_date])
|
||
|
||
if not df.empty:
|
||
df['fio_clean'] = df['ФИО'].apply(normalize_fio)
|
||
return df
|
||
|
||
|
||
def fetch_zup_staff_from_sql() -> pd.DataFrame:
|
||
"""Извлекает весь актуальный штат из MS SQL 1С:ЗУП."""
|
||
query = """
|
||
SELECT DISTINCT
|
||
LTRIM(RTRIM(ref_emp._Description)) AS [ФИО],
|
||
N'Организация' AS [Подразделение],
|
||
N'Сотрудник' AS [Должность]
|
||
FROM dbo._Reference299 ref_emp WITH (NOLOCK)
|
||
WHERE ref_emp._Description <> ''
|
||
AND ref_emp._Marked = 0x00
|
||
ORDER BY [ФИО] ASC;
|
||
"""
|
||
conn_str = get_zup_connection_string()
|
||
with pyodbc.connect(conn_str) as conn:
|
||
df = pd.read_sql(query, conn)
|
||
|
||
if not df.empty:
|
||
df['fio_clean'] = df['ФИО'].apply(normalize_fio)
|
||
return df
|
||
|
||
|
||
def sync_zup_to_excel(target_date: date) -> bool:
|
||
"""
|
||
Извлекает данные из MS SQL и автоматически создает локальные Excel-файлы 1С:
|
||
data/1c/Штат_DD_MM_YYYY.xlsx
|
||
data/1c/Отсутствия_DD_MM_YYYY.xlsx
|
||
"""
|
||
try:
|
||
date_str_file = target_date.strftime("%d_%m_%Y")
|
||
c_1c_dir = os.path.join(DATA_DIR, "1c")
|
||
os.makedirs(c_1c_dir, exist_ok=True)
|
||
|
||
df_staff = fetch_zup_staff_from_sql()
|
||
df_absences = fetch_zup_absences_from_sql(target_date)
|
||
|
||
logger.info(f"[1С Direct SQL] Выгрузка за {target_date.strftime('%d.%m.%Y')}: Штат ({len(df_staff)} чел.), Отсутствия ({len(df_absences)} чел.)")
|
||
|
||
# Сохранение в формате, который ожидает data_loader.py
|
||
staff_excel_path = os.path.join(c_1c_dir, f"Штат_{date_str_file}.xlsx")
|
||
absences_excel_path = os.path.join(c_1c_dir, f"Отсутствия_{date_str_file}.xlsx")
|
||
|
||
# Формируем структуру Excel с нужным количеством пропущенных строк (skiprows)
|
||
with pd.ExcelWriter(staff_excel_path, engine='openpyxl') as writer:
|
||
# Пустой заголовок (8 строк) для эмуляции отчета 1С
|
||
dummy_headers = pd.DataFrame([[""] * 13] * 8)
|
||
dummy_headers.to_excel(writer, index=False, header=False)
|
||
|
||
# Данные
|
||
df_staff[['ФИО', 'Подразделение', 'Должность']].to_excel(writer, startrow=8, index=False)
|
||
|
||
with pd.ExcelWriter(absences_excel_path, engine='openpyxl') as writer:
|
||
# Пустой заголовок (3 строки) для эмуляции отчета 1С
|
||
dummy_headers = pd.DataFrame([[""] * 3] * 3)
|
||
dummy_headers.to_excel(writer, index=False, header=False)
|
||
|
||
# Данные
|
||
df_absences[['ФИО', 'Вид_отсутствия']].to_excel(writer, startrow=3, index=False)
|
||
|
||
logger.info(f"[✓] Успешно созданы файлы 1С за {target_date.strftime('%d.%m.%Y')}: {staff_excel_path}, {absences_excel_path}")
|
||
return True
|
||
|
||
except Exception as e:
|
||
logger.error(f"[❌] Ошибка прямого импорта из MS SQL 1С: {e}")
|
||
return False |