From d937a1c7eaa6c207ff603f7576dd302f504b1f3a Mon Sep 17 00:00:00 2001
From: jze9 <jze9programmer@gmail.com>
Date: Thu, 19 Jun 2025 16:46:23 +0500
Subject: [PATCH] start

---
 .gitignore            |  11 +++
 .python-version       |   1 +
 README.md             |   0
 main.py               | 183 ++++++++++++++++++++++++++++++++++++++++++
 pyproject.toml        |  10 +++
 uv.lock               | 153 +++++++++++++++++++++++++++++++++++
 МУ по заполнению.docx | Bin 0 -> 16574 bytes
 7 files changed, 358 insertions(+)
 create mode 100644 .gitignore
 create mode 100644 .python-version
 create mode 100644 README.md
 create mode 100644 main.py
 create mode 100644 pyproject.toml
 create mode 100644 uv.lock
 create mode 100644 МУ по заполнению.docx

diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..b03178e
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,11 @@
+# Python-generated files
+__pycache__/
+*.py[oc]
+build/
+dist/
+wheels/
+*.egg-info
+
+# Virtual environments
+.venv
+*.xlsx
\ No newline at end of file
diff --git a/.python-version b/.python-version
new file mode 100644
index 0000000..e4fba21
--- /dev/null
+++ b/.python-version
@@ -0,0 +1 @@
+3.12
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..e69de29
diff --git a/main.py b/main.py
new file mode 100644
index 0000000..98d46ed
--- /dev/null
+++ b/main.py
@@ -0,0 +1,183 @@
+import pandas as pd
+import math
+from openpyxl import load_workbook
+from openpyxl.styles import PatternFill
+from openpyxl.utils import get_column_letter
+
+class read_drop_table:
+    def __init__(self, path: str, sheet: str):
+        db = pd.read_excel(path, sheet_name=sheet)
+        self.grafa2 = db["Графа 2"].dropna().tolist()
+        self.grafa4 = db["Графы 4"].dropna().tolist()
+        self.grafa6 = db["Графа 6"].dropna().tolist()
+        self.grafa7 = db["Графа 7"].dropna().tolist()
+        self.grafa9 = db["Графа 9"].dropna().tolist()
+        self.grafa10 = db["Графа 10"].dropna().tolist()
+        self.grafa14 = db["Графа 14"].dropna().tolist()
+        self.grafa5811 = db["Графы 5,8,11"].dropna().tolist()
+
+class read_collection_form:
+    def __init__(self, path: str, sheet: str):
+        self.path = path
+        self.sheet = sheet
+        self.db = pd.read_excel(path, sheet_name=sheet, header=10)
+
+        # Оставим только строки, где указан субъект РФ
+        self.db = self.db.dropna(subset=["9"])
+        self.load_openpyxl()
+
+    def load_openpyxl(self):
+        self.wb = load_workbook(self.path)
+        self.ws = self.wb[self.sheet]
+
+    def paint_green(self, address: str):
+        green_fill = PatternFill(start_color="90EE90", end_color="90EE90", fill_type="solid")
+        self.ws[address].fill = green_fill
+
+    def paint_red(self, address: str):
+        red_fill = PatternFill(start_color="FF7F7F", end_color="FF7F7F", fill_type="solid")
+        self.ws[address].fill = red_fill
+
+    def rerol_column(self, row, row_index):
+        status = row.values[4]  # графа 4: статус обучающегося
+        graf9_value = row.values[9] if len(row.values) > 9 else None
+        graf5_value = row.values[5] if len(row.values) > 5 else None
+
+        for column_index, cell in enumerate(row.values):
+            address = get_column_letter(column_index + 1) + str(row_index + 12)
+
+            match column_index:
+                case 0 | 1 | 3:
+                    if pd.isna(cell):
+                        self.paint_red(address)
+                    else:
+                        self.paint_green(address)
+
+                case 2:
+                    if cell in temp.grafa2:
+                        self.paint_green(address)
+                    else:
+                        self.paint_red(address)
+
+                case 4:
+                    if pd.isna(cell):
+                        self.paint_red(address)
+                    elif cell in temp.grafa4:
+                        self.paint_green(address)
+                    else:
+                        self.paint_red(address)
+
+                case 5:
+                    if pd.isna(cell):
+                        self.paint_red(address)
+                    elif cell in temp.grafa5811:
+                        self.paint_green(address)
+                    else:
+                        self.paint_red(address)
+
+                case 6:
+                    if pd.isna(cell):
+                        self.paint_green(address)
+                    elif cell in temp.grafa6:
+                        self.paint_green(address)
+                    else:
+                        self.paint_red(address)
+
+                case 7:
+                    if pd.isna(cell):
+                        self.paint_green(address)
+                    elif cell in temp.grafa7:
+                        self.paint_green(address)
+                    else:
+                        self.paint_red(address)
+
+                case 9:
+                    if pd.isna(cell):
+                        if row.values[4] == "не завершил обучение: отчислен по собственному желанию":
+                            self.paint_green(address)
+                        else:
+                            self.paint_red(address)
+                    elif cell in temp.grafa9:
+                        self.paint_green(address)
+                    else:
+                        self.paint_red(address)
+
+                case 10:
+                    if graf9_value in [
+                        "зарегистрирован в ЦЗН в качестве безработного (получает пособие по безработице)",
+                        "не планирует трудоустраиваться, в том числе по причинам получения иных социальных льгот"
+                    ]:
+                        if pd.isna(cell):
+                            self.paint_red(address)
+                        elif cell in temp.grafa10:
+                            self.paint_green(address)
+                        else:
+                            self.paint_red(address)
+
+                case 11:
+                    if graf9_value in [
+                        "трудоустроен у иного работодателя",
+                        "будет трудоустроен у иного работодателя"
+                    ]:
+                        if pd.isna(cell):
+                            pass
+                        elif cell in temp.grafa5811:
+                            self.paint_green(address)
+                        else:
+                            self.paint_red(address)
+
+                case 12 | 13:
+                    if graf9_value in [
+                        "трудоустроен у иного работодателя",
+                        "будет трудоустроен у иного работодателя"
+                    ]:
+                        if pd.isna(cell):
+                            self.paint_red(address)
+                        else:
+                            self.paint_green(address)
+
+                case 14:
+                    if graf5_value == "да":
+                        if graf9_value not in [
+                            "трудоустроен у работодателя-партнера кластера",
+                            "будет трудоустроен у работодателя-партнера кластера"
+                        ]:
+                            self.paint_red(address)
+                        else:
+                            self.paint_green(address)
+
+    def iterate_rows(self):
+        for row_index, row in self.db.iterrows():
+            self.rerol_column(row=row, row_index=row_index)
+        self.wb.save(self.path)
+
+
+import os
+
+def list_files_in_current_directory(extension_filter=None):
+    # Получаем путь к папке, где находится скрипт
+    current_dir = os.path.dirname(os.path.abspath(__file__))
+
+    # Список всех файлов
+    all_files = []
+    for file in os.listdir(current_dir):
+        full_path = os.path.join(current_dir, file)
+        if os.path.isfile(full_path):
+            if extension_filter:
+                if file.lower().endswith(extension_filter.lower()):
+                    all_files.append(full_path)
+            else:
+                all_files.append(full_path)
+    
+    return all_files
+
+# Получить все файлы
+files = list_files_in_current_directory()
+
+# Только .xlsx файлы
+xlsx_files = list_files_in_current_directory(".xlsx")
+
+for path in xlsx_files:
+    temp = read_drop_table(path=path, sheet="Выпадающие списки")
+    temp1 = read_collection_form(path=path, sheet="Форма сбора").iterate_rows()
+
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..8bae4ac
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,10 @@
+[project]
+name = "parser-copp1"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "openpyxl>=3.1.5",
+    "pandas>=2.3.0",
+]
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 0000000..3f70fd0
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,153 @@
+version = 1
+revision = 2
+requires-python = ">=3.12"
+
+[[package]]
+name = "et-xmlfile"
+version = "2.0.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/d3/38/af70d7ab1ae9d4da450eeec1fa3918940a5fafb9055e934af8d6eb0c2313/et_xmlfile-2.0.0.tar.gz", hash = "sha256:dab3f4764309081ce75662649be815c4c9081e88f0837825f90fd28317d4da54", size = 17234, upload-time = "2024-10-25T17:25:40.039Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c1/8b/5fe2cc11fee489817272089c4203e679c63b570a5aaeb18d852ae3cbba6a/et_xmlfile-2.0.0-py3-none-any.whl", hash = "sha256:7a91720bc756843502c3b7504c77b8fe44217c85c537d85037f0f536151b2caa", size = 18059, upload-time = "2024-10-25T17:25:39.051Z" },
+]
+
+[[package]]
+name = "numpy"
+version = "2.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f3/db/8e12381333aea300890829a0a36bfa738cac95475d88982d538725143fd9/numpy-2.3.0.tar.gz", hash = "sha256:581f87f9e9e9db2cba2141400e160e9dd644ee248788d6f90636eeb8fd9260a6", size = 20382813, upload-time = "2025-06-07T14:54:32.608Z" }
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