A simple python script to read input csv file, process it and produce two output csv files as per the problem description below
- Install python
- Run orders_csv_parser from terminal "orders_csv_parser full_path_to_input_file"
- The program should generate two output files in its directory
There is a csv file that keeps a record of n order details for orders made at an online shopping website. The file has a .csv extension. Each line contains a single record with the following columns, in order: • Id of the order placed • Area where the order was delivered • Name of the product • Quantity of the product delivered in that order • Brand of the ordered product Create is the name of the input file given in the input including the .csv extension. Each file must contain r rows where r is the number of distinct products. Data should be comma delimited, and the row order does not matter. The structure of each file is as follows:
- 0_input_file_name - In the first column, list the product Name. The second column should contain the average quantity of the product purchased per order.
- 1_input_file_name - In the first column, list the product Name. The second column should be the most popular Brand for that product. Most popular is defined as the brand with the most total orders for the item, not the quantity purchased. If two or more brands have the same popularity for a product, include any one. The value of the average quantity will be considered correct if the absolute difference between your answer and the jury's answer is less than 1e-3 (0.001) two csv files named 0_input_file_name and 1_input_file_name where input_file_name Example: There are four total orders in input_example.csv: ID1,Minneapolis,shoes,2,Air ID2,Chicago,shoes,1,Air ID3,Central Department Store,shoes,5,BonPied ID4,Quail Hollow,forks,3,Pfitzcraft The orders for shoes are 2 pairs of Air brand, 1 pair of Air, and 5 pairs of BonPied. The most popular shoe brand is Air because there were two orders versus one for BonPied. The total shoes sold is 2 + 1 + 5 = 8, and there are 4 total orders. The average shoes per order is 8/4 = 2. There is one order for 3 forks made for Pfitzcraft. The average number of forks per order is 3/4 = 0.75. The files should each contain two lines: 0_input_example.csv: 1_input_example.csv: Program Description Create a program using your favorited. It must create the two files described above. The program will receive the value of input_file_name: the name of the input file Input from stdin will be processed as follows and passed to the program: The only line of the input contains a string representing the name of the input file. Constraints 1 ≤ number of rows of data ≤ 10^4 Sample Case Sample stdin Input: order_log00.csv shoes,2 forks,0.75 shoes,Air forks,Pfitzcraft
Sample program result: Creates file 0_order_log00.csv with content Creates file 1_order_log00.csv with content Sample Explanation The order_log00.csv file contains the following records. Intelligent Copper Knife,2.4 Small Granite Shoes,0.8 Intelligent Copper Knife,Hilll-Gorczany Small Granite Shoes,Rowe and Legros ID944806,Willard Vista,Intelligent Copper Knife,3,Hilll-Gorczany ID644525,Roger Centers,Intelligent Copper Knife,1,Kunze-Bernhard ID348204,Roger Centers,Small Granite Shoes,4,Rowe and Legros ID710139,Roger Centers,Intelligent Copper Knife,4,Hilll-Gorczany ID426632,Willa Hollow,Intelligent Copper Knife,4,Hilll-Gorczany File 0_order_log00.csv is created based on the following: • There are 4 orders for Intelligent Copper Knife products that total 12 items. • There is 1 order for Small Granite Shoes totaling 4 items. There are 5 total orders, so the average per order is 12/5 = 2.4 for Intelligent Copper Knife, and 4/5 = 0.8 for Small Granite Shoes. File 1_order_log00.csv is created based on the following: • There are 4 orders for Intelligent Copper Knife, o 3 branded Hilll-Gorczany and o 1 branded Kunze-Bernhard. • There is 1 order for Small Granite Shoes made by Rowe and Legros. Hilll-Gorczany and Rowe and Legros are the most popular brands for each item. Evaluation Code should be shared using public github repository. Repository must contain a README with the instructions to compile (if require) and run the program, simplicity will be valued. Code will be reviewed and the existence of unit test will be valued. Instructions to run unit tests should be detailed in the README.