/NPPES-work-with-API

Primary LanguagePython

Certainly! I'll provide a detailed documentation of the code you've posted. This code appears to be a Python script that fetches data from the National Plan and Provider Enumeration System (NPPES) API, filters the data, and stores it in a CSV file. Below is a breakdown of the code along with explanations:

import json
import csv
import time
import requests
import pandas as pd
import os
  1. Import necessary libraries:
    • json: Used for working with JSON data.
    • csv: Used for working with CSV files.
    • time: Provides time-related functions (not used in this code).
    • requests: Used for making HTTP requests to the NPPES API.
    • pandas as pd: Pandas library is used for data manipulation and analysis.
    • os: Provides functions for interacting with the operating system.
def fetchNPIData(url, skip, limit, postal_code, version):
    data = requests.get(f"{url}?postal_code={postal_code}&skip={skip}&limit={limit}&pretty&version={version}")
    return data.json()
  1. fetchNPIData Function:
    • This function sends a GET request to the NPPES API to fetch data.
    • Parameters:
      • url: The base URL of the NPPES API.
      • skip: The number of records to skip in the API response.
      • limit: The maximum number of records to retrieve in a single request.
      • postal_code: The postal code used as a filter in the API request.
      • version: The API version to use.
    • It returns the JSON data obtained from the API.
def createExcelFile(data):
    # Return the data fetched from the API
    return data
  1. createExcelFile Function:
    • This function takes data as input (which is the JSON response from the API) and returns it without any modification. In the current code, it is not used for creating an Excel file.
skip = 0
limit = 200
  1. Initialize skip and limit variables:
    • These variables are used to control pagination while fetching data from the API. They determine how many records to skip and how many to retrieve in each request.
while True:
    api_data = fetchNPIData("https://npiregistry.cms.hhs.gov/api/", skip, limit, 10001, 2.1)
  1. Fetch Data from the API in a Loop:
    • This code runs in an infinite loop and fetches data from the NPPES API using the fetchNPIData function.
    • The skip and limit parameters are updated in each iteration to fetch the next set of records.
    • The fetched data is stored in the api_data variable as JSON.
    # Check if the fetched data is empty (no more data)
    if not api_data:
        break
  1. Break the Loop:
    • If the api_data is empty, it means there are no more records to fetch, so the loop is exited.
    # Filter records with enumeration_date in 2023
    filtered_data = [record for record in api_data['results'] if 'enumeration_date' in record['basic'] and record['basic']['enumeration_date'].startswith('2023')]
  1. Filter Data:
    • This code filters the records in api_data to include only those with an 'enumeration_date' in the year 2023. The filtered data is stored in the filtered_data list.
    if filtered_data:
        df = pd.DataFrame(filtered_data)
        # Give the CSV file Path
        csv_file_path = 'D:\Office\personal code\NPPES work with API/example.csv'
  1. Dataframe Creation and CSV Path:
    • If there are filtered records (filtered_data is not empty), a DataFrame (df) is created using Pandas to work with the filtered data.
    • The CSV file path is defined in the csv_file_path variable.
        # Check if the CSV file already exists
        if os.path.exists(csv_file_path):
            df.to_csv(csv_file_path, mode='a', header=False, index=False)
        else:
            df.to_csv(csv_file_path, mode='a', header=True, index=False)
  1. Save Data to CSV:
    • This code checks if the CSV file at the specified path already exists (os.path.exists(csv_file_path)).
    • If it exists, the filtered data is appended to the existing CSV file (mode='a'), without writing headers again (header=False).
    • If the CSV file does not exist, a new file is created with headers (header=True).
    skip = limit
    limit = limit + 200
  1. Update Pagination Variables:
    • skip and limit variables are updated to fetch the next set of records in the next iteration.

This code essentially fetches data from the NPPES API, filters it based on a condition, and appends it to a CSV file. The loop continues until all the data is retrieved from the API.