Aug-10-2018, 04:03 PM
I have an interesting challenge have few patterned records and i need to split it intelligently into a dictionary
Eg of records in file are like below. Each Record Type can have different definition. And I need to read that record and map its place holders correctly. The size of record type will remain static or fixed
<Counter 5 digit><Record Type><Rec Defn Attribute 1><Rec Defn Attribute 2>..etc
00001000A20181220233445 NAMEOFACTOR10023.431-84-203,FLAT-2A;BlockC,COUNTRY
00002000A20181220233445 NAMEOFACTOR20023.431-84-203,FLAT-2A;BlockC,COUNTRY
First 5 is counter,
Next 4 is record type defintion
Next 14 is datetime i.e in YYYYMMDDHHMISS format
Next 14 is Name of Person
Next 7 floating point number
Reminder address.
This is sample like this based on definition fo a record type the pattern will be different. How can i have a nice structural Python program which i can define the structure or pattern of a record and split each record in correct definition elements
Eg of records in file are like below. Each Record Type can have different definition. And I need to read that record and map its place holders correctly. The size of record type will remain static or fixed
<Counter 5 digit><Record Type><Rec Defn Attribute 1><Rec Defn Attribute 2>..etc
00001000A20181220233445 NAMEOFACTOR10023.431-84-203,FLAT-2A;BlockC,COUNTRY
00002000A20181220233445 NAMEOFACTOR20023.431-84-203,FLAT-2A;BlockC,COUNTRY
First 5 is counter,
Next 4 is record type defintion
Next 14 is datetime i.e in YYYYMMDDHHMISS format
Next 14 is Name of Person
Next 7 floating point number
Reminder address.
This is sample like this based on definition fo a record type the pattern will be different. How can i have a nice structural Python program which i can define the structure or pattern of a record and split each record in correct definition elements
