Select the most appropriate VM OS image based on Levenshtein Distance #89
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* Add Levenshtein Distance mechanism * Select the keywords representing a server OS info from the source computing infra * Calculate text similarity between keywords and VM OS image ID/Description * Select the VM OS image that shows the highest similarity value
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This PR will initially provide a selection function of the most appropriate VM OS image based on Levenshtein Distance.
(see Levenshtein distance - wikipedia)
Background
Matching server OS information and VM OS image info is difficult. For example, there are 2 texts.
text1: "ubuntu 22.04.4 LTS (Jammy Jellyfish) x86_64 SSD"
: It's extracted/selected one by one from the physical machine info from source computing infra
text2: "ubuntu/images/hvm-ssd/ubuntu-jammy-22.04-amd64-server-20220609"
: It's AWS' VM OS image name
As you can see "22.04.4"-"22.04", "x86_64"-"amd64", "hvm-ssd", and "SSD", these are similar but different. Our system would tell us the values are different if we use just the string comparison.
Thus, we need Levenshtein Distance algorithm. It makes this possible by calculating the similarity between the texts.
Example
VM OS image ID in Case 2 is selected because Case 2 has a higher text similarity score than Case 1.
Case 1:
Case 2: