Completed

Need a Python script

I am looking for a python developer who can get me a modular script written to perform specified functions as mentioned below.

Note - Each Sample file will have four columns, A sample file is attached.

Timestamp, Hostname, MetricName, Metricvalue

1. A modular Python script which performs following steps

1. To monitor a configurable input directory ( windows or Unix) for new CSV file or files being added at a configurable interval ( in seconds)

2. Whenever a new file or files are detected to perform following in parallel if more than one file is detected log all this information to a log file named [login to view URL]

a) Check the name of the file

b) Check the size of the file in MB

c) Check number of records in the file

d) Check whether it has required columns

e) The format of the log shall be as follows

® Timestamp ( when the file is checked), Name of the file, Size of the file in MB, Number of records, Required Columns Present

Timestamp Filename Size Number_of_Records Required_Columns_Availablity

Date : Time [login to view URL] 1 1000 Yes

Date : Time [login to view URL] 1 1000 No

3. Move the file to a directory named to_be_processed directory

4. Each file from to_be_processed directory shall be processed in the following way using pandas or similar technology and a new updated file to be created with original name and updated file shall be moved to a new directory named processed directory

a) Check the missing values

b) Replace missing values by using Mean of Nearest Neighbours

c) From Time column extract and add following features to data frame

1) Day_of_week i.e. Sunday

2) Hour of the day i.e. 0 to 23

3) Month - May

4) Year - 2021

Skills: Python, Software Architecture, Linux, C Programming, C++ Programming

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About the Employer:
( 0 reviews ) Pune, India

Project ID: #31603732

Awarded to:

Parveenlamba77

Hi There, I am an python automation expert I can write the python script as per your requirement. Feel free to contact me.

₹2000 INR / hour
(6 Reviews)
2.3