def __init__(self, data_provider):
self.data_provider = data_provider
self.common = CommonV2(self.data_provider)
self.project_name = self.data_provider.project_name
self.session_uid = self.data_provider.session_uid
self.manufacturer_fk = 1
self.products = self.data_provider[Data.PRODUCTS]
self.all_products = self.data_provider[Data.ALL_PRODUCTS]
self.match_product_in_scene = self.data_provider[Data.MATCHES]
self.visit_date = self.data_provider[Data.VISIT_DATE]
self.session_info = self.data_provider[Data.SESSION_INFO]
self.scene_info = self.data_provider[Data.SCENES_INFO]
self.store_id = self.data_provider[Data.STORE_FK]
self.store_info = self.data_provider[Data.STORE_INFO]
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.scif = self.scif[~(self.scif['product_type'] == 'Irrelevant')]
self.region = self.store_info['region_name'].iloc[0]
self.store_type = self.store_info['store_type'].iloc[0]
self.program = self.store_info['additional_attribute_3'].iloc[0]
if self.store_type in STORE_TYPES: #####
self.store_type = STORE_TYPES[self.store_type] ####
self.store_attr = self.store_info['additional_attribute_3'].iloc[0]
self.session_results = self.get_session_kpi_results()
self.parent_frame = pd.DataFrame()
self.results = self.data_provider[Data.SCENE_KPI_RESULTS]
self.hierarchy_table = pd.DataFrame(columns=self.COLUMNS)
self.session_hierarchy_table = pd.DataFrame(columns=self.COLUMNS)
def __init__(self, data_provider, output):
self.output = output
self.data_provider = data_provider
self.project_name = self.data_provider.project_name
self.session_uid = self.data_provider.session_uid
self.products = self.data_provider[Data.PRODUCTS]
self.all_products = self.data_provider[Data.ALL_PRODUCTS]
self.match_product_in_scene = self.data_provider[Data.MATCHES]
self.visit_date = self.data_provider[Data.VISIT_DATE]
self.session_info = self.data_provider[Data.SESSION_INFO]
self.scene_info = self.data_provider[Data.SCENES_INFO]
self.store_id = self.data_provider[Data.STORE_FK]
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.rds_conn = PSProjectConnector(self.project_name,
DbUsers.CalculationEng)
self.store_info = self.data_provider[Data.STORE_INFO]
self.store_type = self.store_info['additional_attribute_1'].values[0]
self.kpi_static_data = self.get_kpi_static_data()
self.set_templates_data = {}
self.match_display_in_scene = self.get_match_display()
self.kpi_results_queries = []
self.scores = {self.LEVEL1: {}, self.LEVEL2: {}, self.LEVEL3: {}}
self.output = output
self.common = Common(self.data_provider)
self.commonV2 = CommonV2(self.data_provider)
self.global_gen = DIAGEOGenerator(self.data_provider, self.output,
self.common)
self.tools = DIAGEOToolBox(
self.data_provider,
output,
match_display_in_scene=self.match_display_in_scene
) # replace the old one
self.diageo_generator = DIAGEOGenerator(self.data_provider,
self.output, self.common)
def __init__(self, data_provider, output):
self.k_engine = BaseCalculationsScript(data_provider, output)
self.output = output
self.data_provider = data_provider
self.project_name = self.data_provider.project_name
self.session_uid = self.data_provider.session_uid
self.products = self.data_provider[Data.PRODUCTS]
self.all_products = self.data_provider[Data.ALL_PRODUCTS]
self.match_product_in_scene = self.data_provider[Data.MATCHES]
self.visit_date = self.data_provider[Data.VISIT_DATE]
self.session_info = self.data_provider[Data.SESSION_INFO]
self.rds_conn = PSProjectConnector(self.project_name, DbUsers.CalculationEng)
self.store_info = self.data_provider[Data.STORE_INFO]
self.store_id = self.data_provider[Data.STORE_FK]
self.store_channel = self.store_info['store_type'].values[0]
if self.store_channel:
self.store_channel = self.store_channel.upper()
self.store_type = self.store_info['additional_attribute_1'].values[0]
self.segment = self.get_business_unit_name()
self.scene_info = self.data_provider[Data.SCENES_INFO]
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.match_display_in_scene = self.get_match_display()
self.set_templates_data = {}
self.kpi_static_data = self.get_kpi_static_data()
self.tools = DIAGEOToolBox(self.data_provider, output, match_display_in_scene=self.match_display_in_scene)
self.kpi_results_queries = []
self.common = Common(self.data_provider)
self.commonV2 = CommonV2(self.data_provider)
self.diageo_generator = DIAGEOGenerator(self.data_provider, self.output, self.common)
def __init__(self, data_provider, output):
self.output = output
self.data_provider = data_provider
self.common_v2 = CommonV2(self.data_provider)
self.project_name = self.data_provider.project_name
self.session_uid = self.data_provider.session_uid
self.products = self.data_provider[Data.PRODUCTS]
self.all_products = self.data_provider[Data.ALL_PRODUCTS]
self.match_product_in_scene = self.data_provider[Data.MATCHES]
self.visit_date = self.data_provider[Data.VISIT_DATE]
self.session_info = self.data_provider[Data.SESSION_INFO]
self.templates = self.data_provider[Data.TEMPLATES]
self.scene_info = self.data_provider[Data.SCENES_INFO]
self.store_info = self.data_provider[Data.STORE_INFO]
self.store_id = self.data_provider[Data.STORE_FK]
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.own_manufacturer_fk = int(self.data_provider.own_manufacturer.param_value.values[0])
self.rds_conn = PSProjectConnector(self.project_name, DbUsers.CalculationEng)
self.kpi_static_data = self.common_v2.get_kpi_static_data()
self.kpi_results_queries = []
self.template = self.data_provider.all_templates # templates
self.toolbox = GENERALToolBox(data_provider)
kpi_path = os.path.dirname(os.path.realpath(__file__))
base_file = os.path.basename(kpi_path)
self.exclude_filters = pd.read_excel(os.path.join(kpi_path[:- len(base_file)], 'Data', 'template.xlsx'),
sheetname="Exclude")
self.Include_filters = pd.read_excel(os.path.join(kpi_path[:- len(base_file)], 'Data', 'template.xlsx'),
sheetname="Include")
self.bay_count_kpi = pd.read_excel(os.path.join(kpi_path[:- len(base_file)], 'Data', 'template.xlsx'),
sheetname="BayCountKPI")
self.assortment_data = pd.read_excel(os.path.join(kpi_path[:- len(base_file)], 'Data', 'template.xlsx'),
sheetname="Assortment")
def __init__(self, data_provider, output):
self.output = output
self.data_provider = data_provider
self.project_name = self.data_provider.project_name
self.session_uid = self.data_provider.session_uid
self.products = self.data_provider[Data.PRODUCTS]
self.all_products = self.data_provider[Data.ALL_PRODUCTS]
self.match_product_in_scene = self.data_provider[Data.MATCHES]
self.visit_date = self.data_provider[Data.VISIT_DATE]
self.session_info = self.data_provider[Data.SESSION_INFO]
self.scene_info = self.data_provider[Data.SCENES_INFO]
self.store_id = self.data_provider[Data.STORE_FK]
self.rds_conn = PSProjectConnector(self.project_name, DbUsers.CalculationEng)
# self.store_type = self.data_provider[Data.STORE_INFO]['store_type'].iloc[0]
query_store_type = CCZAQueries.get_attr3(self.session_uid)
store_type = pd.read_sql_query(query_store_type, self.rds_conn.db)
self.store_type = store_type[Const.ATTR3].iloc[0]
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.tools = GENERALToolBox(self.data_provider, self.output, rds_conn=self.rds_conn)
self.survey_response = self.data_provider[Data.SURVEY_RESPONSES]
self.tool_box_for_flow = ToolBox
# create data-frames from template
self.kpi_sheets = {}
for name in Const.sheet_names_and_rows:
self.kpi_sheets[name] = parse_template(TEMPLATE_PATH, sheet_name=name,
lower_headers_row_index=Const.sheet_names_and_rows[name])
self.common = Common(self.data_provider, Const.RED_SCORE)
self.survey_handler = Survey(self.data_provider, self.output, self.kpi_sheets[Const.SURVEY_QUESTIONS])
self.kpi_static_data = self.common.kpi_static_data
self.kpi_results_queries = []
self.common_v2 = CommonV2(self.data_provider)
self.own_manuf_fk = self.get_own_manufacturer_fk()
self.scif_match_react = self.scif[self.scif[ScifConsts.RLV_SOS_SC] == 1]
def __init__(self, data_provider, output):
self.data_provider = data_provider
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.output = output
self.common = Common(self.data_provider)
self.commonV2 = CommonV2(self.data_provider)
self.diageo_generator = DIAGEOGenerator(self.data_provider, self.output, self.common)
def __init__(self, data_provider, output):
self.k_engine = BaseCalculationsScript(data_provider, output)
self.output = output
self.data_provider = data_provider
self.project_name = self.data_provider.project_name
self.session_uid = self.data_provider.session_uid
self.products = self.data_provider[Data.PRODUCTS]
self.all_products = self.data_provider[Data.ALL_PRODUCTS]
self.match_product_in_scene = self.data_provider[Data.MATCHES]
self.visit_date = self.data_provider[Data.VISIT_DATE]
self.session_info = self.data_provider[Data.SESSION_INFO]
self.scene_info = self.data_provider[Data.SCENES_INFO]
self.store_id = self.data_provider[Data.STORE_FK]
self.store_info = self.data_provider[Data.STORE_INFO]
self.store_type = self.store_info['store_type'].iloc[0]
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.rds_conn = PSProjectConnector(self.project_name, DbUsers.CalculationEng)
self.general_tools = CCKHGENERALToolBox(self.data_provider, self.output)
self.template = CCKHTemplateConsts()
self.kpi_static_data = self.get_kpi_static_data()
self.kpi_results_queries = []
self.commonV2 = CommonV2(self.data_provider)
self.kpi_new_static_data = self.commonV2.get_new_kpi_static_data()
self.manufacturer = int(self.data_provider.own_manufacturer.param_value.values[0])
self.ps_data_provider = PsDataProvider(self.data_provider, self.output)
self.external_targets = self.ps_data_provider.get_kpi_external_targets()
self.assortment = Assortment(self.data_provider, self.output)
self.templates_info = self.external_targets[self.external_targets[CCKHTemplateConsts.TEMPLATE_OPERATION] ==
CCKHTemplateConsts.BASIC_SHEET]
self.visibility_info = self.external_targets[self.external_targets[CCKHTemplateConsts.TEMPLATE_OPERATION]
== CCKHTemplateConsts.VISIBILITY_SHEET]
self.cooler_info = self.external_targets[self.external_targets[CCKHTemplateConsts.TEMPLATE_OPERATION]
== CCKHTemplateConsts.COOLER_SHEET]
def __init__(self, data_provider, output):
self.output = output
self.data_provider = data_provider
self.common_v2 = CommonV2(self.data_provider)
self.common_v1 = CommonV1(self.data_provider)
self.data_provider.common_v2 = self.common_v2
self.data_provider.common_v1 = self.common_v1
self.project_name = self.data_provider.project_name
self.session_uid = self.data_provider.session_uid
self.products = self.data_provider[Data.PRODUCTS]
self.all_products = self.data_provider[Data.ALL_PRODUCTS]
self.match_product_in_scene = self.data_provider[Data.MATCHES]
self.visit_date = self.data_provider[Data.VISIT_DATE]
self.session_info = self.data_provider[Data.SESSION_INFO]
self.scene_info = self.data_provider[Data.SCENES_INFO]
self.store_id = self.data_provider[Data.STORE_FK]
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.rds_conn = PSProjectConnector(self.project_name,
DbUsers.CalculationEng)
self.channel = self.get_store_channel(self.store_id)
self.kpi_static_data = self.common_v2.get_kpi_static_data()
self.data_provider.kpi_sheets = {}
self.kpi_sheets = self.data_provider.kpi_sheets
self.old_kpi_static_data = self.common_v1.get_kpi_static_data()
for name in SHEETS_NAME:
parsed_template = ParseTemplates.parse_template(TEMPLATE_PATH,
sheet_name=name)
self.kpi_sheets[name] = parsed_template[parsed_template['Channel']
== self.channel]
self.data_provider.sos = SOS(self.data_provider, output=None)
self.data_provider.assortment = Assortment(self.data_provider,
output=None)
def __init__(self, data_provider, output):
self.output = output
self.data_provider = data_provider
self.common = Common(self.data_provider)
self.commonV2 = CommonV2(self.data_provider)
self.project_name = self.data_provider.project_name
self.session_uid = self.data_provider.session_uid
self.k_engine = BaseCalculationsGroup(data_provider, output)
self.products = self.data_provider[Data.PRODUCTS]
# self.all_products = self.data_provider[Data.ALL_PRODUCTS]
self.match_product_in_scene = self.data_provider[Data.MATCHES]
self.visit_date = self.data_provider[Data.VISIT_DATE]
self.session_info = self.data_provider[Data.SESSION_INFO]
self.scene_info = self.data_provider[Data.SCENES_INFO]
self.store_id = self.data_provider[Data.STORE_FK]
self.store_info = self.data_provider[Data.STORE_INFO]
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.rds_conn = PSProjectConnector(self.project_name, DbUsers.CalculationEng)
self.kpi_static_data = self.commonV2.get_kpi_static_data()
self.kpi_results_queries = []
self.templates = {}
self.all_products = self.commonV2.data_provider[Data.ALL_PRODUCTS]
self.session_id = self.data_provider.session_id
self.score_templates = {}
self.get_templates()
self.get_score_template()
self.manufacturer_fk = self.all_products[
self.all_products['manufacturer_name'] == 'Coca Cola'].iloc[0]
self.sos = SOS(self.data_provider, self.output)
self.total_score = 0
self.session_fk = self.data_provider[Data.SESSION_INFO]['pk'].iloc[0]
self.toolbox = GENERALToolBox(self.data_provider)
self.scenes_info = self.data_provider[Data.SCENES_INFO]
self.kpi_results_new_tables_queries = []
def __init__(self, data_provider, output):
self.output = output
self.data_provider = data_provider
self.common = Common(self.data_provider)
self.common_v2 = CommonV2(self.data_provider)
self.project_name = self.data_provider.project_name
self.session_uid = self.data_provider.session_uid
self.products = self.data_provider[Data.PRODUCTS]
self.all_products = self.data_provider[Data.ALL_PRODUCTS]
self.match_product_in_scene = self.data_provider[Data.MATCHES]
self.visit_date = self.data_provider[Data.VISIT_DATE]
self.session_info = self.data_provider[Data.SESSION_INFO]
self.scene_info = self.data_provider[Data.SCENES_INFO]
self.store_id = self.data_provider[Data.STORE_FK]
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.template_info = self.data_provider.all_templates
self.rds_conn = ProjectConnector(self.project_name,
DbUsers.CalculationEng)
self.ps_data_provider = PsDataProvider(self.data_provider)
self.thresholds_and_results = {}
self.result_df = []
self.writing_to_db_time = datetime.timedelta(0)
self.kpi_results_queries = []
self.potential_products = {}
self.shelf_square_boundaries = {}
self.average_shelf_values = {}
self.kpi_static_data = self.common.get_kpi_static_data()
self.kpi_results_queries = []
self.all_template_data = parse_template(TEMPLATE_PATH, "KPI")
self.spacing_template_data = parse_template(TEMPLATE_PATH, "Spacing")
self.fixture_width_template = pd.read_excel(FIXTURE_WIDTH_TEMPLATE,
"Fixture Width",
dtype=pd.Int64Dtype())
self.facings_to_feet_template = pd.read_excel(FIXTURE_WIDTH_TEMPLATE,
"Conversion Table",
dtype=pd.Int64Dtype())
self.header_positions_template = pd.read_excel(FIXTURE_WIDTH_TEMPLATE,
"Header Positions")
self.flip_sign_positions_template = pd.read_excel(
FIXTURE_WIDTH_TEMPLATE, "Flip Sign Positions")
self.custom_entity_data = self.ps_data_provider.get_custom_entities(
1005)
self.ignore_stacking = False
self.facings_field = 'facings' if not self.ignore_stacking else 'facings_ign_stack'
self.INCLUDE_FILTER = 1
self.assortment = Assortment(self.data_provider,
output=self.output,
ps_data_provider=self.ps_data_provider)
self.store_assortment = self.assortment.get_lvl3_relevant_ass()
self.kpi_new_static_data = self.common.get_new_kpi_static_data()
try:
self.mpis = self.match_product_in_scene.merge(self.products, on='product_fk', suffixes=['', '_p']) \
.merge(self.scene_info, on='scene_fk', suffixes=['', '_s']) \
.merge(self.template_info, on='template_fk', suffixes=['', '_t'])
except KeyError:
Log.warning('MPIS cannot be generated!')
return
self.adp = AltriaDataProvider(self.data_provider)
def __init__(self, data_provider, output):
self.output = output
self.data_provider = data_provider
self.project_name = data_provider.project_name
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.common = Common(self.data_provider)
self.commonV2 = CommonV2(self.data_provider)
self.diageo_generator = DIAGEOGenerator(self.data_provider, self.output, self.common)
self.template_handler = TemplateHandler(self.project_name)
def __init__(self, data_provider, output):
self.data_provider = data_provider
self.project_name = self.data_provider.project_name
self.ps_data_provider = PsDataProvider(data_provider)
self.store_id = self.data_provider[Data.STORE_FK]
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.output = output
self.common = Common(self.data_provider)
self.commonV2 = CommonV2(self.data_provider)
self.diageo_generator = DIAGEOGenerator(self.data_provider,
self.output, self.common)
self.rds_conn = PSProjectConnector(self.project_name,
DbUsers.CalculationEng)
self.session_uid = self.data_provider.session_uid
def __init__(self, data_provider, output):
self.output = output
self.data_provider = data_provider
self.project_name = self.data_provider.project_name
self.commonV2 = CommonV2(self.data_provider)
self.common = Common(self.data_provider)
self.assortment = Assortment(self.data_provider, self.output)
self.own_manuf_fk = int(
self.data_provider.own_manufacturer.param_value.values[0])
self.store_info = self.data_provider[Data.STORE_INFO]
self.new_kpi_static_data = self.commonV2.get_new_kpi_static_data()
self.all_products_include_deleted = self.data_provider[
Data.ALL_PRODUCTS_INCLUDING_DELETED]
self.visit_date = self.data_provider[Data.VISIT_DATE]
def __init__(self, data_provider, output):
self.output = output
self.data_provider = data_provider
self.common = Common(self.data_provider)
self.common_v2 = CommonV2(self.data_provider)
self.project_name = self.data_provider.project_name
self.session_uid = self.data_provider.session_uid
self.products = self.data_provider[Data.PRODUCTS]
self.all_products = self.data_provider[Data.ALL_PRODUCTS]
self.match_product_in_scene = self.data_provider[Data.MATCHES]
self.visit_date = self.data_provider[Data.VISIT_DATE]
self.session_info = self.data_provider[Data.SESSION_INFO]
self.scene_info = self.data_provider[Data.SCENES_INFO]
self.store_id = self.data_provider[Data.STORE_FK]
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.template_info = self.data_provider.all_templates
self.rds_conn = ProjectConnector(self.project_name, DbUsers.CalculationEng)
self.ps_data_provider = PsDataProvider(self.data_provider)
self.match_product_in_probe_state_reporting = self.ps_data_provider.get_match_product_in_probe_state_reporting()
self.kpi_results_queries = []
self.fixture_width_template = pd.read_excel(FIXTURE_WIDTH_TEMPLATE, "Fixture Width", dtype=pd.Int64Dtype())
self.facings_to_feet_template = pd.read_excel(FIXTURE_WIDTH_TEMPLATE, "Conversion Table", dtype=pd.Int64Dtype())
self.header_positions_template = pd.read_excel(FIXTURE_WIDTH_TEMPLATE, "Header Positions")
self.flip_sign_positions_template = pd.read_excel(FIXTURE_WIDTH_TEMPLATE, "Flip Sign Positions")
self.custom_entity_data = self.ps_data_provider.get_custom_entities(1005)
self.ignore_stacking = False
self.facings_field = 'facings' if not self.ignore_stacking else 'facings_ign_stack'
self.kpi_new_static_data = self.common.get_new_kpi_static_data()
try:
self.mpis = self.match_product_in_scene.merge(self.products, on='product_fk', suffixes=['', '_p']) \
.merge(self.scene_info, on='scene_fk', suffixes=['', '_s']) \
.merge(self.template_info, on='template_fk', suffixes=['', '_t'])
except KeyError:
Log.warning('MPIS cannot be generated!')
return
self.adp = AltriaDataProvider(self.data_provider)
self.active_kpis = self._get_active_kpis()
self.external_targets = self.ps_data_provider.get_kpi_external_targets()
self.survey_dot_com_collected_this_session = self._get_survey_dot_com_collected_value()
self._add_smart_attributes_to_mpis()
self.scene_graphs = {}
self.excessive_flipsigns = False
self.incorrect_tags_in_pos_areas = []
def __init__(self, data_provider, output, common_db2):
self.output = output
self.data_provider = data_provider
# self.common_db = Common(self.data_provider, SUB_PROJECT)
# self.common_db2 = common_db2
self.common_db2 = CommonV3(self.data_provider)
self.common_scene = CommonV2(self.data_provider)
self.project_name = self.data_provider.project_name
self.session_uid = self.data_provider.session_uid
self.manufacturer_fk = 1
self.products = self.data_provider[Data.PRODUCTS]
self.all_products = self.data_provider[Data.ALL_PRODUCTS]
self.match_product_in_scene = self.data_provider[Data.MATCHES]
self.visit_date = self.data_provider[Data.VISIT_DATE]
self.session_info = self.data_provider[Data.SESSION_INFO]
self.scene_info = self.data_provider[Data.SCENES_INFO]
self.store_id = self.data_provider[Data.STORE_FK]
self.store_info = self.data_provider[Data.STORE_INFO]
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.scif = self.scif[~(self.scif['product_type'] == 'Irrelevant')]
self.sw_scenes = self.get_sw_scenes() # we don't need to check scenes without United products
self.survey = Survey(self.data_provider, self.output)
self.sos = SOS(self.data_provider, self.output)
self.results = self.data_provider[Data.SCENE_KPI_RESULTS]
self.templates = {}
self.region = self.store_info['region_name'].iloc[0]
self.store_type = self.store_info['store_type'].iloc[0]
self.program = self.store_info['additional_attribute_3'].iloc[0]
self.sales_center = self.store_info['additional_attribute_5'].iloc[0]
if self.store_type in STORE_TYPES: #####
self.store_type = STORE_TYPES[self.store_type] ####
self.store_attr = self.store_info['additional_attribute_3'].iloc[0]
# self.kpi_static_data = self.common_db.get_kpi_static_data()
self.total_score = 0
self.sub_scores = defaultdict(int)
self.sub_totals = defaultdict(int)
self.ignore_stacking = False
self.facings_field = 'facings' if not self.ignore_stacking else 'facings_ign_stack'
for sheet in Const.SHEETS_CMA:
self.templates[sheet] = pd.read_excel(TEMPLATE_PATH, sheetname=sheet).fillna('')
self.tools = Shared(self.data_provider, self.output)
def __init__(self, data_provider, output):
self.data_provider = data_provider
self.commonV2 = CommonV2(self.data_provider)
self.rds_conn = PSProjectConnector(self.data_provider.project_name, DbUsers.CalculationEng)
self.store_assortment = PSAssortmentDataProvider(self.data_provider).execute(policy_name=None)
self.output = output
self.kpi_static_data = self.get_kpi_static_data()
self.store_id = self.data_provider[Data.STORE_FK]
self.own_manufacturer_fk = 12
self.store_info = self.get_store_info(self.store_id)
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.all_templates = self.data_provider[Data.ALL_TEMPLATES]
self.common = Common(self.data_provider)
self.scene_info = self.data_provider[Data.SCENES_INFO]
self.diageo_generator = DIAGEOGenerator(self.data_provider, self.output, self.common)
self.template_handler = TemplateHandler(self.data_provider.project_name)
self.template_path = os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), 'Data')
self.template_path = os.path.join(self.template_path, "Template.xlsx")
self.kpi_template_data = parse_template(self.template_path, sheet_name='KPI')
self.store_info = self.data_provider[Data.STORE_INFO]
self.current_date = datetime.now()
def __init__(self, data_provider, output):
self.output = output
self.data_provider = data_provider
self.common = Common(self.data_provider)
self.project_name = self.data_provider.project_name
self.session_uid = self.data_provider.session_uid
self.products = self.data_provider[Data.PRODUCTS]
self.all_products = self.data_provider[Data.ALL_PRODUCTS]
self.match_product_in_scene = self.data_provider[Data.MATCHES]
self.visit_date = self.data_provider[Data.VISIT_DATE]
self.session_info = self.data_provider[Data.SESSION_INFO]
self.scene_info = self.data_provider[Data.SCENES_INFO]
self.store_id = self.data_provider[Data.STORE_FK]
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.rds_conn = PSProjectConnector(self.project_name,
DbUsers.CalculationEng)
self.kpi_static_data = self.common.get_kpi_static_data()
self.kpi_results_queries = []
kpi_path = os.path.dirname(os.path.realpath(__file__))
base_file = os.path.basename(kpi_path)
kpi_info = pd.read_excel(os.path.join(kpi_path[:-len(base_file)],
'Data', 'Template.xlsx'),
sheet_name="KPI")
file_template = pd.read_excel(os.path.join(kpi_path[:-len(base_file)],
'Data', 'Template.xlsx'),
sheet_name="Template")
self.kpi_template_info = pd.DataFrame(
kpi_info) # contains the kpis + ean codes
self.kpi_metadata = self.data_provider.kpi # information about kpis such as (presentation order)
self.template_info = self.data_provider.templates # static data on templates
self.kpi_template = pd.DataFrame(
file_template) # relevant template for kpis
# common for new tables
self.commonV2 = CommonV2(self.data_provider)
self.kpi_new_static_data = self.commonV2.get_new_kpi_static_data()
self.manufacturer_fk = None if self.data_provider[Data.OWN_MANUFACTURER]['param_value'].iloc[0] is None else \
int(self.data_provider[Data.OWN_MANUFACTURER]['param_value'].iloc[0])
def __init__(self, data_provider, output):
self.output = output
self.data_provider = data_provider
self.common = CommonV2 # remove later
self.common_v2 = CommonV2(self.data_provider)
self.project_name = self.data_provider.project_name
self.session_uid = self.data_provider.session_uid
self.products = self.data_provider[Data.PRODUCTS]
self.all_products = self.data_provider[Data.ALL_PRODUCTS]
self.match_product_in_scene = self.data_provider[Data.MATCHES]
self.visit_date = self.data_provider[Data.VISIT_DATE]
self.session_info = self.data_provider[Data.SESSION_INFO]
self.scene_info = self.data_provider[Data.SCENES_INFO]
self.store_id = self.data_provider[Data.STORE_FK]
self.scif = self.data_provider[Data.SCENE_ITEM_FACTS]
self.rds_conn = PSProjectConnector(self.project_name, DbUsers.CalculationEng)
self.kpi_results_queries = []
self.ps_data_provider = PsDataProvider(self.data_provider, self.output)
self.survey = Survey(self.data_provider, output=self.output, ps_data_provider=self.ps_data_provider,
common=self.common_v2)
self.store_sos_policies = self.ps_data_provider.get_store_policies()
self.labels = self.ps_data_provider.get_labels()
self.store_info = self.data_provider[Data.STORE_INFO]
self.store_info = self.ps_data_provider.get_ps_store_info(self.store_info)
self.country = self.store_info['country'].iloc[0]
self.current_date = datetime.now()
self.extra_spaces_template = pd.read_excel(Const.EXTRA_SPACES_RELEVANT_SUB_CATEGORIES_PATH)
self.store_targets = pd.read_excel(Const.STORE_TARGETS_PATH)
self.sub_category_weight = pd.read_excel(Const.SUB_CATEGORY_TARGET_PATH, sheetname='category_score')
self.kpi_weights = pd.read_excel(Const.SUB_CATEGORY_TARGET_PATH, sheetname='max_weight')
self.targets = self.ps_data_provider.get_kpi_external_targets()
self.store_assortment = PSAssortmentDataProvider(
self.data_provider).execute(policy_name=None)
self.supervisor_target = self.get_supervisor_target()
try:
self.sub_category_assortment = pd.merge(self.store_assortment,
self.all_products.loc[:, ['product_fk', 'sub_category',
'sub_category_fk']],
how='left', on='product_fk')
self.sub_category_assortment = \
self.sub_category_assortment[~self.sub_category_assortment['assortment_name'].str.contains(
'ASSORTMENT')]
self.sub_category_assortment = pd.merge(self.sub_category_assortment, self.sub_category_weight, how='left',
left_on='sub_category',
right_on='Category')
except KeyError:
self.sub_category_assortment = pd.DataFrame()
self.update_score_sub_category_weights()
try:
self.store_assortment_without_powerskus = \
self.store_assortment[self.store_assortment['assortment_name'].str.contains('ASSORTMENT')]
except KeyError:
self.store_assortment_without_powerskus = pd.DataFrame()
self.adherence_results = pd.DataFrame(columns=['product_fk', 'trax_average',
'suggested_price', 'into_interval', 'min_target', 'max_target',
'percent_range'])
self.extra_spaces_results = pd.DataFrame(
columns=['sub_category_fk', 'template_fk', 'count'])
self.powersku_scores = {}
self.powersku_empty = {}
self.powersku_bonus = {}
self.powersku_price = {}
self.powersku_sos = {}
def __init__(self, data_provider, output):
self.data_provider = data_provider
self.output = output
self.project_name = data_provider.project_name
self.session_uid = self.data_provider.session_uid
self.common = CommonV2(self.data_provider)
def __init__(self, data_provider, output):
self.data_provider = data_provider
self.output = output
self.common_v2 = CommonV2(self.data_provider)
