test.py

a= [
  "Document(page_content='Key Benefits\\n\\nThe forecasting can help the clients in estimating the shortfalls in installs and activity of the new app, also aid in budget allocation to new app paid marketing\\n\\n\\n\\nResults\\n\\n\\n\\n\\n\\n\\n\\n\\n                        Enhanced the marketing efforts by 30% for successful migration of all existing app users to the new app portal\\n                     \\n\\n\\n\\n\\n\\n\\n\\n\\nTalk To Us\\n\\n\\n\\n\\n\\n\\nFull name *\\n\\n\\n\\nCompany\\n\\n\\n\\nEmail address *\\n\\n\\n\\nPhone number\\n\\n\\n\\nMessage\\n\\n\\n\\nConnect with\\n                  us', metadata={'source': 'https://www.tredence.com/case-studies/forecasting-app-installs-for-a-large-retailer-in-the-us', 'title': '\\n        Forecasting App Installs for a Large Retailer in the US - Tredence\\n    ', 'description': 'Forecasting App Installs for a Large Retailer in the US - Tredence', 'language': 'en'})",
  "Document(page_content='Supply Chain\\n\\n\\nCustomer Analytics\\n\\n\\nCX Management\\n\\n\\nIndustry X.0\\n\\n\\nSupport Solutions\\n\\n\\n\\nSolutions\\n\\nSupply Chain Control Tower\\n\\n\\nTest and Learn Platform (TALP)\\n\\n\\nOn-shelf Availability (OSA)\\n\\n\\nCustomer Cosmos\\n\\n\\nRevenue Growth Management (RGM)\\n\\n\\nMLWorks\\n\\n\\nSustainability Analytics\\n\\n\\n\\n\\nTredence Studio\\n\\n\\n\\nBlogs\\n\\n\\n\\nClient Success\\n\\n\\n\\nLife at Tredence\\n\\n\\n\\nCareers\\n\\n\\n\\nContact us\\n\\n\\n\\n\\n\\nFollow us on\\n\\u2003\\n\\u2003\\n\\n\\n\\n\\n\\n\\n\\n\\n\\nTerms of\\n                            Use\\n\\nPrivacy Policy\\n\\nCookies Policy\\n\\n\\n© Copyright . Tredence.Inc. All rights reserved\\n\\n\\n\\n \\n\\n\\n\\n\\n\\ntzCx9f4MNdCKSWQx6bxOR31y_2csI0A1Kb1rgsiOfdQ=.html', metadata={'source': 'https://www.tredence.com/case-studies/forecasting-app-installs-for-a-large-retailer-in-the-us', 'title': '\\n        Forecasting App Installs for a Large Retailer in the US - Tredence\\n    ', 'description': 'Forecasting App Installs for a Large Retailer in the US - Tredence', 'language': 'en'})",
  "Document(page_content='Connect with\\n                  us\\n\\n\\n\\n\\n\\n\\n\\n\\nWe use cookies for the best user experience on our website, including to personalize content & offerings. By clicking “Accept Cookies” you agree to our use of cookies. For further details please visit our Privacy Policy and Cookies Policy\\n\\n\\n                        Accept cookies\\n                    \\n\\n                        Decline\\n                    \\n\\n\\n \\n\\n\\n\\nIndustries\\n\\nRetail\\n\\n\\nCPG\\n\\n\\nIndustrials\\n\\n\\nHealthcare\\n\\n\\nTMT\\n\\n\\nFinancial Services\\n\\n\\nTravel and Hospitality\\n\\n\\n\\nServices\\n\\nAI Consulting\\n\\n\\nData Engineering\\n\\n\\nSupply Chain\\n\\n\\nCustomer Analytics', metadata={'source': 'https://www.tredence.com/case-studies/forecasting-app-installs-for-a-large-retailer-in-the-us', 'title': '\\n        Forecasting App Installs for a Large Retailer in the US - Tredence\\n    ', 'description': 'Forecasting App Installs for a Large Retailer in the US - Tredence', 'language': 'en'})",
  "Document(page_content='Summary\\n\\nClient was planning to bring in a new stand-alone app in the market which merges the different channels of the business. However, the marketing managers were not sure of the number of optimum marketing efforts that will be required to push the existing app users across BUs to install the new app. Tredence team aimed at forecasting the installs of the new app to help the client in planning the marketing budget and setting goals for the upcoming app migration in FY21\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\nApproach', metadata={'source': 'https://www.tredence.com/case-studies/forecasting-app-installs-for-a-large-retailer-in-the-us', 'title': '\\n        Forecasting App Installs for a Large Retailer in the US - Tredence\\n    ', 'description': 'Forecasting App Installs for a Large Retailer in the US - Tredence', 'language': 'en'})"
]


print(type(a[0]))
print(type(a[0]))