J.S. is a 42-year-old man who lives in the Midwest and is highly allergic to dust and pollen and has a history of mild asthma. J.S’s wife drove him to the emergency room when his wheezing was unresponsive to his fluticasone/salmeterol (Advair) inhaler. J.S. was unable to lie down, and began to use accessory muscles to breathe. J.S. is immediately started on 4 L oxygen by nasal cannula and intravenous (IV) D5W at 75 mL/hr. A set of arterial blood gases is sent to the laboratory. J.S. appears anxious and says that he is short of breath.Vital signsBP = 152/84 HR = 124 bpm RR = 42 Temp = 100.40FABGspH = 7.31 PaCO2 = 48 HCO3 = 26 PaO2 = 55Investigate the condition of asthma and the manifestations of the disease. Analyze the case study provided and determine what symptoms support the diagnosis of asthma. Identify the treatment provided in the emergency department and determine what additional therapies are needed to mitigate the asthma symptoms and return the client to wellness.Do you have any concerns with the numbers above?Identify what may be causing J.S. to have an exacerbation of asthma.Prepare a 3-5 page paper outlining the causes of asthma, the symptoms that the client presents and the management of the disorder. Use at least one scholarly source to support your findings. Examples of scholarly sources include academic journals, textbooks, reference texts, and CINAHL nursing guides. Be sure to cite your sources in-text and on a References page using APA format.

s you have learned, CRUD functionality is essential for interacting with databases. In Module Two, you gained practice using CRUD commands within the mongo shell. In order to develop a web application that connects a client-side user interface (such as a dashboard) to a database, it will help to develop a portable Python module that enables CRUD functionality for this data connection. In this milestone, you will begin creating a Python module that enables create and read functionality. You will finish developing the update and delete functionality for your Project One submission. This Python module will eventually be used to connect the user interface component to the database component of your dashboard in Project Two. Note: This milestone requires you to use the “aacuser” account and password that you set up back in the Module Three milestone. If you did not successfully complete that milestone, follow the steps in Part II of the Module Three milestone to set up the “aacuser” account before beginning this milestone. Prompt After completing the readings for this module, you will implement the fundamental operations of creating and reading documents (the C and R of CRUD) in Python. You will use the PyMongo driver to create CRUD functional access to your document collection. Upload the Austin Animal Center (AAC) Outcomes data set into MongoDB by importing a CSV file using the appropriate MongoDB import tool. This file is in the /usr/local/datasets/ directory in Apporto and the filename is “aac_shelter_outcomes.csv”. Use the database name “AAC” and collection name “animals”. Complete the import using the mongoimport tool and take screenshots of both the import command and its execution. Note: If you completed the Module Three milestone, you have already completed this step. Next, you must develop a Python module in a PY file, using object-oriented programming methodology, to enable create and read functionality for the database. To support code reusability, your Python code needs to be importable as a module by other Python scripts. Develop a CRUD class that, when instantiated, provides the following functionality: A method that inserts a document into a specified MongoDB database and collection Input -> argument to function will be set of key/value pairs in the data type acceptable to the MongoDB driver insert API call Return -> “True” if successful insert, else “False” A method that queries for documents from a specified MongoDB database and specified collection Input -> arguments to function should be the key/value lookup pair to use with the MongoDB driver find API call Return -> result in cursor if successful, else MongoDB returned error message Important: Be sure to use find() instead of find_one() when developing your method. As you develop your code, be sure to use industry standard best practices such as proper naming conventions, exception handling, and in-line comments. This will ensure that your code is easy to read and reusable for future projects. TIP: Use the following sample code to get started. Note that the authentication to MongoDB is in the initialization method for the CRUD class.Example Python Code to Insert a Document from pymongo import MongoClient from bson.objectid import ObjectId  class AnimalShelter(object):     """ CRUD operations for Animal collection in MongoDB """      def __init__(self):         # Initializing the MongoClient. This helps to          # access the MongoDB databases and collections.          self.client = MongoClient('mongodb://%s:%s@localhost:YOUR_PORT_NUMBER' % (username, password))         self.database = self.client['project']  # Complete this create method to implement the C in CRUD.     def create(self, data):         if data is not None:             self.database.animals.insert(data)  # data should be dictionary                     else:             raise Exception("Nothing to save, because data parameter is empty")  # Create method to implement the R in CRUD.    Finally, create a Python testing script that imports your CRUD Python module to call and test the create and read instances of CRUD functionality. Be sure to use the username and password for the “aacuser” account for authentication when instantiating the class. This script should be created in a separate Jupyter Notebook IPYNB file, and should import and instantiate an object from your CRUD library to effect changes in MongoDB. After creating your script, execute it in Jupyter Notebook and take screenshots of the commands and their execution. Guidelines for Submission For your submission, you must include the code files for your Python module (PY file) and your Python testing script (IPYNB file). You must also submit a Microsoft Word document with your screenshots from Step 3. Create an administrator account in the mongo shell by following steps #2–3 of the MongoDB Manual Enable Access Control tutorial. Then exit the mongo shell. IMPORTANT: Write down the password for the admin account and keep it somewhere safe. You will need to use this account later in the course. Enable user authentication for the database by typing the following commands exactly into the Linux shell in Apporto:/usr/local/bin/mongod_ctl stop /usr/local/bin/mongod_ctl start You can verify that you have enabled user authentication by accessing MongoDB with your new username/password. Type the following command into the Linux shell to start mongo:mongo --authenticationDatabase "admin" -u "admin" -p This will prompt you to enter your password. Then use the command to show databases to verify that you have set up authentication correctly. If you are not logged in with your admin account, no databases will be viewable. Note: These commands have been customized for the Apporto environment. If you are accessing MongoDB on your own machine, refer to the MongoDB Manual Enable Access Control tutorial. If you accidentally messed up user authentication, or if you forgot your password, you can disable user authentication with this set of commands:/usr/local/bin/mongod_ctl stop /usr/local/bin/mongod_ctl start-noauth  Create a new user account called “aacuser” for the database AAC in the mongo shell. Refer to steps #6–7 of the MongoDB Manual Enable Access Control tutorial, linked above, to help you with this task. You will need to modify the commands so that the account name is “aacuser”.