feat(core): initial commit unified architecture (scud_ai v2.5 with modular web_api)

2026-08-14 15:01:50 +03:00
commit cc12397e29
59 changed files with 11031 additions and 0 deletions
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+import os
+import logging
+from datetime import date, datetime
+import pyodbc
+import pandas as pd
+from config import DATA_DIR, normalize_fio, ZUP_SQL_CONFIG
+
+logger = logging.getLogger(__name__)
+
+
+def get_zup_connection_string() -> str:
+    """Формирует строку подключения pyodbc к MS SQL Server из config.py."""
+    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={ZUP_SQL_CONFIG.get('trust_server_certificate', 'yes')};"
+        f"Encrypt={ZUP_SQL_CONFIG.get('encrypt', 'no')};"
+    )
+
+
+def fetch_zup_absences_from_sql(target_date) -> pd.DataFrame:
+    """
+    Извлекает оперативные отсутствия и действующие декреты из MS SQL 1С:ЗУП 3.1
+    на указанную дату (принимает как datetime.date, так и строку 'DD.MM.YYYY' / 'DD_MM_YYYY').
+    """
+    if isinstance(target_date, str):
+        clean_date_str = target_date.replace('_', '.')
+        try:
+            target_date = datetime.strptime(clean_date_str, "%d.%m.%Y").date()
+        except ValueError:
+            logger.error(f"[❌] Неверный формат даты для SQL-запроса: {target_date}. Ожидался DD.MM.YYYY")
+            return pd.DataFrame()
+
+    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;
+    """
+    
+    try:
+        conn_str = get_zup_connection_string()
+        with pyodbc.connect(conn_str, timeout=5) 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
+    except Exception as e:
+        logger.error(f"[❌] Ошибка SQL-выгрузки отсутствий за {target_date}: {e}")
+        return pd.DataFrame()
+
+
+def fetch_zup_staff_from_sql() -> pd.DataFrame:
+    """Резервная выгрузка штата из MS SQL."""
+    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;
+    """
+    try:
+        conn_str = get_zup_connection_string()
+        with pyodbc.connect(conn_str, timeout=5) as conn:
+            df = pd.read_sql(query, conn)
+            
+        if not df.empty:
+            df['fio_clean'] = df['ФИО'].apply(normalize_fio)
+        return df
+    except Exception as e:
+        logger.error(f"[❌] Ошибка выгрузки штата из MS SQL: {e}")
+        return pd.DataFrame()
+
+
+def sync_zup_to_excel(target_date) -> bool:
+    """Создает дамп в Excel при необходимости."""
+    try:
+        if isinstance(target_date, str):
+            clean_date_str = target_date.replace('_', '.')
+            target_date_obj = datetime.strptime(clean_date_str, "%d.%m.%Y").date()
+        else:
+            target_date_obj = target_date
+
+        date_str_file = target_date_obj.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_obj)
+
+        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")
+
+        with pd.ExcelWriter(staff_excel_path, engine='openpyxl') as writer:
+            dummy_headers = pd.DataFrame([[""] * 13] * 8)
+            dummy_headers.to_excel(writer, index=False, header=False)
+            df_staff[['ФИО', 'Подразделение', 'Должность']].to_excel(writer, startrow=8, index=False)
+
+        with pd.ExcelWriter(absences_excel_path, engine='openpyxl') as writer:
+            dummy_headers = pd.DataFrame([[""] * 3] * 3)
+            dummy_headers.to_excel(writer, index=False, header=False)
+            df_absences[['ФИО', 'Вид_отсутствия']].to_excel(writer, startrow=3, index=False)
+
+        return True
+
+    except Exception as e:
+        logger.error(f"[❌] Ошибка прямого импорта из MS SQL 1С: {e}")
+        return False