import os import re from datetime import datetime, timedelta BASE_DIR = os.path.dirname(os.path.abspath(__file__)) DATA_DIR = os.path.join(BASE_DIR, "data") SCUD_DIR = os.path.join(DATA_DIR, "scud") ZUP_1C_DIR = os.path.join(DATA_DIR, "1c") OUTPUT_DIR = os.path.join(BASE_DIR, "output") SHARE_1C_DIR = r"\\storage\SCUD\Обмен\Штат" for folder in [DATA_DIR, SCUD_DIR, ZUP_1C_DIR, OUTPUT_DIR]: os.makedirs(folder, exist_ok=True) NOW = datetime.now() DATE_TODAY = NOW.strftime("%d.%m.%Y") if NOW.weekday() == 0: DATE_YESTERDAY = (NOW - timedelta(days=3)).strftime("%d.%m.%Y") else: DATE_YESTERDAY = (NOW - timedelta(days=1)).strftime("%d.%m.%Y") OLLAMA_URL = "http://192.168.11.3:11434/api/generate" OLLAMA_MODEL = "qwen2.5:14b" MODEL_NAME = OLLAMA_MODEL KNOWLEDGE_BASE_PATH = os.path.join(DATA_DIR, "knowledge_base.json") EXCEPTIONS_PATH = os.path.join(BASE_DIR, "exceptions.json") def find_dated_file(prefix, date_str, search_dirs=[ZUP_1C_DIR, SCUD_DIR, DATA_DIR, "."]): """ Ищет файлы по префиксу и дате (поддерживает и 30.07.2026, и 30_07_2026). """ date_dots = date_str date_underscores = date_str.replace('.', '_') for d in search_dirs: if not os.path.exists(d): continue for f in os.listdir(d): if f.endswith('.xlsx') or f.endswith('.csv'): if f.lower().startswith(prefix.lower()): if date_dots in f or date_underscores in f: return os.path.join(d, f) return None def normalize_fio(fio): if not fio or not isinstance(fio, str): return "" fio_clean = re.sub(r'\(.*?\)', '', fio) fio_clean = fio_clean.replace('\xa0', ' ') parts = fio_clean.strip().split() return " ".join(parts).title() def clean_scud_fio_light(fio_str): return normalize_fio(fio_str) def load_exceptions(): import json if os.path.exists(EXCEPTIONS_PATH): try: with open(EXCEPTIONS_PATH, "r", encoding="utf-8") as f: return json.load(f) except Exception: pass return {"fio": [], "departments": [], "positions": [], "position_keywords": []}