$1.$ Create a shell script file called asgn$05.$sh

$2.$ Complete this newly created shell script asgn$05.$sh$.$ The invocation of the shell script is as follows: asgn$05.$sh sample.log $\text{'}^$user$|$action$|$additional$\text{'}$ 'location.lat,data.amount'

where

$$ $$1$ is the log file;

$$ $$2$ is a regular expression to filter the entries by matching specific log field keys. $($e$.$g$.,^$user$|$action$|$additional: This will match any fields that start with user, or contain action, or contain additional. If an entry doesn$$t contain any fields matching the pattern, discard it$.)$;

$$ $$3$ is the list of JSON fields separated by comma $($location$.$lat and data.amount will extract the lat value from the location JSON object and amount value from the data JSON object, if present$).$

$3.$ The script asgn$05.$sh needs to do the followings: i$.$ Parse Each Log Entry: Extract both JSON and key$-$value pairs from each entry. ii$.$ Standardize Missing Fields: For any missing fields in an entry, set the value to $"$N$/$A$".$ iii. Filter by Regular Expression: Use $$2$ to identify entries containing those fields that match the provided regex pattern. If an entry doesn$$t contain any fields matching the pattern, discard it$.($Note: if an entry doesn$$t contain any fields specified in $$2,$ but contains fields specified in $$3,$ discard it$.)$ iv$.$ Extract JSON Field: Use $$3$ to extract the specified JSON fields $($if present$).$ v$.$ Generate a CSV Report: i$.$ Columns should include all unique keys from both JSON and key$-$value pairs. ii$.$ Missing values should be filled with $"$N$/$A$".$ iii. Ensure that columns appear in alphabetical order.

Sample Run: The expected output for executing asgn$05.$sh sample.log $\text{'}^$user$|$action$|$additional$\text{'}$ 'location.lat$|$data$.$amount' shown below: action,additional$\_$info,data$\_$amount,location$\_$lat,user$\_$id login$,$N$/$A$,$N$/$A$,40\mathrm{.}7128,45$ purchase,Promo code applied,$200,$N$/$A$,58$ N$/$A$,$N$/$A$,$N$/$A$,51\mathrm{.}5074,32$ logout$,$N$/$A$,$N$/$A$,$N$/$A$,100$ purchase,N$/$A$,120,$N$/$A$,21$

sample.log file below a few lines example

$---$

timestamp$=2023-10-10$T$10$:$15$:$30$ user$\_$id$=45$ location$=\{"$country$"$:$"$US$",$"city":"New York","lat":$40\mathrm{.}7128,$"long":$-74\mathrm{.}0060\}$ action$=$login $---$ timestamp$=2023-10-11$T$14$:$22$:$17$ user$\_$id$=58$ data$=\{"$value$"$:$10,$"type":"purchase","amount":$200\}$ action$=$purchase additional$\_$info$=$Promo code applied

$---$

timestamp$=2023-10-12$T$09$:$45$:$50$ location$=\{"$country$"$:$"$UK$",$"city":"London","lat":$51\mathrm{.}5074,$"long":$-0\mathrm{.}1278\}$ user$\_$id$=32$ data$=\{"$value$"$:$15,$"type":"login$"\}$

$---$

timestamp$=2023-10-13$T$16$:$05$:$22$ user$\_$id$=100$ action$=$logout status$=$success $---$ timestamp$=2023-10-14$T$20$:$12$:$00$ user$\_$id$=21$ data$=\{"$value$"$:$30,$"type":"purchase","amount":$120\}$ action$=$purchase