home/afterpay-creditcard
2
0
Fork 0
mirror of https://github.com/wahyd4/afterpay-creditcard.git synced 2026-08-08 21:06:52 +10:00
Code Issues Packages Projects Releases Wiki Activity

Update readme

Browse Source
This commit is contained in:
junv
2020-03-29 11:19:07 +11:00
parent 7c3b74e4b8
commit 2a31813a53
1 changed files with 6 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+6 -6
View File
@@ -28,15 +28,15 @@ Then go to `build/reports/jacoco/test/html/index.html` to see the result.
The `fraudulentCreditCards` method in `com.github.wahyd4.creditcard.service.FraudChecker` receives list of transactions string and threshold to calculate all the credit cards which exceed the money threshold.
1. First, all the transaction string records will be parsed to a TransactionEntry object.
2. Group all the transactions by hashed credit card id, the value of the key is all the records for that hashed id.
3. Calculate the total money for every credit card to see if it exceeds the threshold, it will based on the sliding window.
4. Return all the matched hashed credit cards as list.
1. First, all the transaction string records will be parsed into a TransactionEntry object.
2. Then loops the entries, it groups all the transactions by hashed credit card id, the value of the key is all the records for that hashed id.
3. During this time, the program analyses all the records for the specific card comes from the current entry. If the records overs one `24` hours windows, then only keep the most recent `24` hours records. If the card has been marked as fraudulent, then it will skipped.
4. Calculates the total amount against the most recent `24` hours records, if the value greater than the threshold then mark the card as `fraudulent` and put it into the `map`.
5. Returns all the matched hashed credit cards as a list.
## Assumptions
* The `24` hour sliding window means, from the very latest record time we have for a credit card to its 24 hours ago.
And each credit card may have different time sliding windows based on their latest transaction time.
* `a sequence of transactions in chronological order` means the first item in the list is the oldest record.
## Highlights