finished pricebook2 & pricebookentry
This commit is contained in:
@ -0,0 +1,3 @@
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Type,ActiveFrom,ActiveTo,ParentRecordId,PKey__c,LocationId
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Installer (installation),2018-03-27,,0019Z00000fmCAYQA2,"Mr. P.J.M. Aalberselaan 19, 1181 XJ AMSTELVEEN, NL;;;",1319Z000000ij1RQAQ
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Owner,2018-04-06,,0019Z00000fmCAYQA2,"Mr. P.J.M. Aalberselaan 19, 1181 XJ AMSTELVEEN, NL;;;",1319Z000000ij1RQAQ
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sf sfdmu run --sourceusername csvfile --targetusername rene.kasseboehmer@vaillant.de.devrene
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{
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"allOrNone": true,
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"excludeIdsFromCSVFiles": true,
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"objects": [
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{
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"query": "SELECT Id, ProductCode FROM Product2",
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"operation": "Readonly",
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"master": false,
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"externalId": "ProductCode"
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},{
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"query": "SELECT Business_Type__c, IsStandard, IsActive, Name, Brand__c, Country__c FROM Pricebook2",
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"operation": "Insert",
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"externalId": "Name",
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"master": true,
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"useSourceCSVFile": true
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},{
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"query": "SELECT IsActive, Product2Id, UnitPrice, Pricebook2Id FROM PricebookEntry",
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"operation": "Insert",
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"master": true,
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"useSourceCSVFile": true
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}
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]
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}
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1
prepared_steps/12_insert_/command.txt
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1
prepared_steps/12_insert_/command.txt
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sf sfdmu run --sourceusername csvfile --targetusername rene.kasseboehmer@vaillant.de.devrene
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10
prepared_steps/12_insert_/export.json
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10
prepared_steps/12_insert_/export.json
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{
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"allOrNone": true,
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"excludeIdsFromCSVFiles": true,
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"objects": [
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{
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"query": "SELECT Business_Type__c, IsStandard, IsActive, Name, Brand__c, Country__c FROM Pricebook2",
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"operation": "Insert"
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}
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]
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}
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@ -147,11 +147,13 @@ def extract_data(object_id, query, output_path='output', context='qa2'):
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if __name__ == '__main__':
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import argparse
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# Parse command-line arguments
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parser = argparse.ArgumentParser(description='Extract Salesforce data via Bulk API')
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parser.add_argument('--context', type=str, required=True,
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help='Context name (e.g., "qa2", "prod")')
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parser.add_argument('--country', type=str, required=True,
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help='CountryCode (e.g., "NL", "UK")')
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parser.add_argument('--output_path', type=str, required=False,
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help='./')
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parser.add_argument('--sobjects', type=str, required=False,
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@ -170,7 +172,7 @@ if __name__ == '__main__':
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for query_def in queries:
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sobject = query_def['sobject']
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query_str = query_def['query']
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query_str = query_def['query'].replace('{country}', args.country)
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# Skip if --sobjects is provided and current sobject isn't in the list
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if selected_sobjects and sobject not in selected_sobjects:
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@ -2,28 +2,34 @@
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[
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{
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"sobject": "SCInstalledBaseLocation__c",
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"query": "SELECT Id, City__c, Country__c, GeoY__c, GeoX__c, PostalCode__c, Street__c, Extension__c, HouseNo__c, FlatNo__c, Floor__c FROM SCInstalledBaseLocation__c WHERE Country__c = 'NL' AND Id = 'a1B1r0000099EsfEAE' limit 1"
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"query": "SELECT Id, City__c, Country__c, GeoY__c, GeoX__c, PostalCode__c, Street__c, Extension__c, HouseNo__c, FlatNo__c, Floor__c FROM SCInstalledBaseLocation__c WHERE Country__c = '{country}' AND Id = 'a1B1r0000099EsfEAE' limit 1"
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},{
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"sobject": "SCInstalledBase__c",
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"query": "SELECT Id, Name, CommissioningDate__c,InstallationDate__c,ProductEnergy__c, ProductUnitClass__c,ArticleNo__c,SerialNo__c, SerialNoException__c, ProductUnitType__c, InstalledBaseLocation__c FROM SCInstalledBase__c WHERE Country__c = 'NL' AND InstalledBaseLocation__c = 'a1B1r0000099EsfEAE'"
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"query": "SELECT Id, Name, CommissioningDate__c,InstallationDate__c,ProductEnergy__c, ProductUnitClass__c,ArticleNo__c,SerialNo__c, SerialNoException__c, ProductUnitType__c, InstalledBaseLocation__c FROM SCInstalledBase__c WHERE Country__c = '{country}' AND InstalledBaseLocation__c = 'a1B1r0000099EsfEAE'"
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},{
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"sobject": "Asset",
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"query": "SELECT Id, Serialnumber FROM Asset WHERE Location.ParentLocation.Name LIKE '%NL'"
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"query": "SELECT Id, Serialnumber FROM Asset WHERE Location.ParentLocation.Name LIKE '%{country}'"
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},{
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"sobject": "Address",
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"query": "SELECT Id, Country, CountryCode, Street, City, ParentId, PostalCode FROM Address WHERE CountryCode = 'NL'"
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"query": "SELECT Id, Country, CountryCode, Street, City, ParentId, PostalCode FROM Address WHERE CountryCode = '{country}'"
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},{
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"sobject": "ParentLocation",
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"query": "SELECT Id, Name FROM Location WHERE Name LIKE '%NL'"
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"query": "SELECT Id, Name FROM Location WHERE Name LIKE '%{country}'"
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},{
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"sobject": "ChildLocation",
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"query": "SELECT Id, ParentLocationId, Name FROM Location WHERE ParentLocation.Name LIKE '%NL'"
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"query": "SELECT Id, ParentLocationId, Name FROM Location WHERE ParentLocation.Name LIKE '%{country}'"
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},{
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"sobject": "Product2",
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"query": "SELECT Id, Main_Product_Group__c, Family, MaterialType__c, Name, Product_Code__c, ProductCode, EAN_Product_Code__c FROM Product2"
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},{
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"sobject": "SCInstalledBaseRole__c",
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"query": "SELECT Id, InstalledBaseLocation__c, Role__c, ValidFrom__c, ValidTo__c, Account__c FROM SCInstalledBaseRole__c WHERE InstalledBaseLocation__r.Country__c = 'NL' AND InstalledBaseLocation__c = 'a1B1r0000099EsfEAE'"
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"query": "SELECT Id, InstalledBaseLocation__c, Role__c, ValidFrom__c, ValidTo__c, Account__c FROM SCInstalledBaseRole__c WHERE InstalledBaseLocation__r.Country__c = '{country}' AND InstalledBaseLocation__c = 'a1B1r0000099EsfEAE'"
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},{
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"sobject": "SCPriceList__c",
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"query": "SELECT Id, Name, Brand__r.Name, Country__c from SCPriceList__c WHERE Country__c = '{country}' AND PriceList__c != null"
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},{
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"sobject": "SCPriceListItem__c",
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"query": "SELECT Id, Article__r.Name, Price__c, PriceUnit__c, Pricelist__c, ValidFrom__c, ValidTo__c, Article__r.EANCode__c, Pricelist__r.Brand__r.Name, Pricelist__r.Country__c FROM SCPriceListItem__c WHERE Country__c = '{country}' AND PriceList__c != null AND (ValidTo__c >= TODAY OR ValidFrom__c >= TODAY) AND Article__c = 'a0Gw000001R9slpEAB'"
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}
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]
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}
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"Id","Article__r.Name","Article__r.EANCode__c","Price__c","PriceUnit__c","Pricelist__c","ValidFrom__c","ValidTo__c","Pricelist__r.Brand__r.Name","Pricelist__r.Country__c"
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"a0p6900000eZ3nbAAC","0010021907","4024074807507","2011.85","1.0","a0q20000000PO8OAAW","2021-01-01","2099-12-31","Vaillant","NL"
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3
prepared_steps/1_extract_data/results/SCPriceList__c.csv
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3
prepared_steps/1_extract_data/results/SCPriceList__c.csv
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"Id","Name","Brand__r.Name","Country__c"
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"a0q20000000PO8OAAW","NL Vaillant","Vaillant","NL"
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"a0q20000000PO8TAAW","NL AWB","AWB","NL"
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@ -10,6 +10,8 @@ read_df = pd.read_csv('../1_extract_data/results/SCInstalledBaseLocation__c.csv'
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read_df_ib = pd.read_csv('../1_extract_data/results/SCInstalledBase__c.csv', header=0, keep_default_na=False, dtype=str)
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read_df_product2 = pd.read_csv('../1_extract_data/results/Product2.csv', header=0, keep_default_na=False, dtype=str)
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read_df_ibr = pd.read_csv('../1_extract_data/results/SCInstalledBaseRole__c.csv', header=0, keep_default_na=False, dtype=str)
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read_df_pricelist = pd.read_csv('../1_extract_data/results/SCPriceList__c.csv', header=0, keep_default_na=False, dtype=str)
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read_df_pricelistitem = pd.read_csv('../1_extract_data/results/SCPriceListItem__c.csv', header=0, keep_default_na=False, dtype=str)
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for row in read_df.to_dict('records'):
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try:
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@ -31,13 +33,19 @@ reindex_columns_product2 = ['Id','Main_Product_Group__c','Family','MaterialType_
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#reindex_columns_product2 = ['EAN_Product_Code__c','Family','Id','Main_Product_Group__c','MaterialType__c','Name','Product_Code__c','ProductCode']
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#"Id","InstalledBaseLocation__c","Role__c","ValidFrom__c","ValidTo__c","Account__c"
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reindex_columns_ibr = ['Id', 'InstalledBaseLocation__c', 'Role__c', 'ValidFrom__c', 'ValidTo__c', 'Account__c']
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reindex_columns_pricelist = ['Id', 'Name', 'Brand__r.Name', 'Country__c']
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reindex_columns_pricelistitem = ['Id', 'Article__r.Name', 'Article__r.EANCode__c', 'Price__c', 'PriceUnit__c', 'Pricelist__c', 'ValidFrom__c', 'ValidTo__c', 'Pricelist__r.Brand__r.Name', 'Pricelist__r.Country__c']
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# Reindex the columns to match the desired format
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df = read_df.reindex(reindex_columns, axis=1)
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df_ib = read_df_ib.reindex(reindex_columns_ib, axis=1)
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df_product2 = read_df_product2.reindex(reindex_columns_product2, axis=1)
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df_ibr = read_df_ibr.reindex(reindex_columns_ibr, axis=1)
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df_pricelist = read_df_pricelist.reindex(reindex_columns_pricelist, axis=1)
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df_pricelistitem = read_df_pricelistitem.reindex(reindex_columns_pricelistitem, axis=1)
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#creating street column
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# Concatenate 'Street__c' and 'HouseNo__c' to create the 'Street' column
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df['Street'] = (
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df['Street__c'].astype(str) + ' ' +
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df['HouseNo__c'].astype(str)
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@ -246,14 +254,55 @@ for index, row in tqdm(merged_df_ib.iterrows(), total=len(merged_df_ib)):
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if product_group not in valid_groups:
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merged_df_ib.loc[index, 'Kind_of_Energy__c'] = None # or set to empty string
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print(merged_df_ib)
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# Pricelist to Pricebook2
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columns_pricebook2 = ['Id', 'Name', 'Brand__c', 'Country__c']
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df_pricelist.columns = columns_pricebook2
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df_pricelist.insert(0, 'IsActive', 'true')
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df_pricelist.insert(0, 'IsStandard', 'false')
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df_pricelist.insert(0, 'Business_Type__c', 'Service')
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df_pricelist['Name'] = (
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df_pricelist['Country__c'].astype(str).fillna('').str.upper() + ' ' +
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df_pricelist['Brand__c'].astype(str).fillna('').str.upper() + ' ' +
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df_pricelist['Business_Type__c'].astype(str).fillna('').str.upper()
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)
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df_pricelist = df_pricelist.drop('Id', axis=1)
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df_pricelistitem['Pricebook2.Name'] = (
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df_pricelistitem['Pricelist__r.Country__c'].astype(str).fillna('').str.upper() + ' ' +
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df_pricelistitem['Pricelist__r.Brand__r.Name'].astype(str).fillna('').str.upper() + ' ' +
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'SERVICE'
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)
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df_pricelistitem = df_pricelistitem.drop('Id', axis=1)
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df_pricelistitem = df_pricelistitem.drop('PriceUnit__c', axis=1)
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df_pricelistitem = df_pricelistitem.drop('Pricelist__c', axis=1)
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df_pricelistitem = df_pricelistitem.drop('ValidFrom__c', axis=1)
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df_pricelistitem = df_pricelistitem.drop('ValidTo__c', axis=1)
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df_pricelistitem = df_pricelistitem.drop('Pricelist__r.Country__c', axis=1)
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df_pricelistitem = df_pricelistitem.drop('Pricelist__r.Brand__r.Name', axis=1)
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df_pricelistitem.insert(0, 'IsActive', 'true')
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print(df_pricelistitem)
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columns_pricebookentry = ['IsActive', 'Product2.Product_Code__c', 'Product2.EAN_Product_Code__c', 'UnitPrice', 'Pricebook2.Name']
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df_pricelistitem.columns = columns_pricebookentry
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# Write each DataFrame to a separate CSV file
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address_df.to_csv('../3_upsert_address_and_parent_location/Address.csv', index=False)
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parent_df.to_csv('../3_upsert_address_and_parent_location/Location.csv', index=False)
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child_df.to_csv('../5_upsert_child_location/Location.csv', index=False)
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merged_df_ib.to_csv('../7_upsert_assets/Asset.csv', index=False)
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df_ibr.to_csv('../9_upsert_associated_location/AssociatedLocation.csv', index=False)
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df_ibr.to_csv('../10_upsert_associated_location/AssociatedLocation.csv', index=False)
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df_pricelist.to_csv('../11_insert_pricebook2/Pricebook2.csv', index=False)
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df_pricelistitem.to_csv('../11_insert_pricebook2/PricebookEntry.csv', index=False)
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## end mapping
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@ -1 +1 @@
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python .\LocationScript.py
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python .\TransformScript.py
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