DoWell-DataCube-Operation

Repository showcasing the implementation of the DoWell DataCube API service as a class-based code.

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DataCubeServices Usage Guide

Setup

Requirements

Make sure you have the required packages installed.

pip install -r requirements.txt

Environment Variables

1. Create a .env file in your project directory.
2. Define the following variables inside .env:

   API_KEY=your_api_key_here
   DATABASE_NAME=your_database_name_here
   COLLECTION_NAME=your_collection_name_here

Using DataCubeServices

1. Insert Operation This operation adds new data to your database collection.

   # Insert operation example
   inserted_data = data_cube_services.insert_data(collection_name, {
       "info": {
           'name': "Manish",
           'email': "mdashsharma95@gmail.com",
       },
       "records": [{
           "record": "1",
           "type": "overall"
       }]
   })
   print("Inserted data:", inserted_data)

2. Fetch Operation Retrieve data from your database based on specified criteria.

   # Fetch operation example
   fetch_response = data_cube_services.fetch_data(
       collection_name, 
       filters={
           "_id": "6572ced931188f54bdc88a89"  # Replace with appropriate filter criteria
       }, 
       limit=1, 
       offset=0
   )
   print("Fetch response:", fetch_response)

3. Update Operation Modify existing data in your database collection.

   # Update operation example
   update_response = data_cube_services.update_data(
       collection_name,  
       query={
           "_id": "6572ced931188f54bdc88a89"  # Replace with appropriate filter criteria
       }, 
       update_data={
           "info": {
               'name': "Manish Dash",
               'email': "mdashsharma95@gmail.com",
           },
           "records": [{
               "record": "1",
               "type": "overall_updated"
           }]
       }
   )
   print("Update response:", update_response)

4. Delete Operation Remove specific data from your database collection.

   # Delete operation example
   delete_response = data_cube_services.delete_data(
       collection_name, 
       query={
           "_id": "6572ced931188f54bdc88a89"  # Replace with appropriate filter criteria
       }
   )
   print("Delete response:", delete_response)

5. Add Collection Operation Add a new collection to your database.

   # Add collection operation example
   add_collection_response = data_cube_services.add_collection("Collection_4")
   print("Add collection response:", add_collection_response)

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Customize these examples to suit your specific use case and database structure. Update placeholders like collection_name, query criteria, and specific data fields with your actual database details and requirements.

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This guide provides examples and instructions for utilizing DataCubeServices to interact with your database. Adjust the code snippets to suit your use case.