Added a test for scraping the promotions and exporting them to xlsx files.

promotion.py

@@ -21,6 +21,8 @@ from supermarket_chain import SupermarketChain
 XML_FILES_PROMOTIONS_CATEGORIES = [SupermarketChain.XMLFilesCategory.PromosFull,
                                    SupermarketChain.XMLFilesCategory.Promos]
 
+PROMOTION_COLS_NUM = 15  # The length of the list returned by get_promotion_row_for_table function
+
 INVALID_OR_UNKNOWN_PROMOTION_FUNCTION = -1
 
 PROMOTIONS_TABLE_HEADERS = [

tests/test_scraping.py

@@ -0,0 +1,84 @@
+import logging
+import os
+
+import pytest
+from tqdm import tqdm
+import pandas as pd
+
+from chains.bareket import Bareket
+from chains.co_op import CoOp
+from chains.dor_alon import DorAlon
+from chains.freshmarket import Freshmarket
+from chains.hazi_hinam import HaziHinam
+from chains.keshet import Keshet
+from chains.maayan2000 import Maayan2000
+from chains.mahsaneiHashook import MahsaneiHashook
+from chains.shuk_hayir import ShukHayir
+from chains.stop_market import StopMarket
+from chains.tiv_taam import TivTaam
+from chains.zol_vebegadol import ZolVebegadol
+from promotion import PROMOTION_COLS_NUM, main_latest_promos
+from supermarket_chain import SupermarketChain
+from chains import (
+    bareket,
+    mahsaneiHashook,
+    dor_alon,
+    freshmarket,
+    hazi_hinam,
+    keshet,
+    stop_market,
+    tiv_taam,
+    shufersal,
+    co_op,
+    victory,
+    yohananof,
+    zol_vebegadol,
+    rami_levi,
+    osher_ad,
+    maayan2000,
+    shuk_hayir,
+    king_store,
+    shefa_birkat_hashem,
+)
+
+pytest.main(args=['-s', os.path.abspath(__file__)])
+
+chain_dict = {repr(chain): chain() if callable(chain) else None for chain in SupermarketChain.__subclasses__()}
+
+MIN_NUM_OF_PROMOS = 3
+
+
+def test_scraping():
+    filename = 'temp.xlsx'
+    for chain_name, chain in tqdm(chain_dict.items(), desc='chains'):
+        if chain_name in [repr(Maayan2000), repr(ZolVebegadol), repr(ShukHayir)]:
+            continue
+        logging.info(f'Test scraping promotions from {chain_name}')
+        if chain_name == repr(DorAlon):
+            store_id = 501
+        elif chain_name in [repr(Keshet), repr(TivTaam), repr(Bareket), repr(ZolVebegadol)]:
+            store_id = 2
+        elif chain_name == repr(CoOp):
+            store_id = 202
+        elif chain_name == repr(ShukHayir):
+            store_id = 4
+        elif chain_name == repr(StopMarket):
+            store_id = 5
+        else:
+            store_id = 1
+
+        try:
+            main_latest_promos(
+                store_id=store_id,
+                output_filename=filename,
+                chain=chain,
+                load_promos=False,
+                load_xml=False
+            )
+            df = pd.read_excel(filename)
+        except Exception as e:
+            logging.error(e)
+            logging.info(f"Failed loading excel of {chain_name}")
+            raise
+
+        assert df.shape[0] > MIN_NUM_OF_PROMOS and df.shape[1] == PROMOTION_COLS_NUM, f"Failed scraping {chain_name}"