Enable response_parser_test.go

[fridgepoet]

What this PR does / why we need it:

• enables the tests that were in response_parser_test.go_
• updates the test assertions from using Points to now Frames and Fields
• converts the assertions to use the testify library
• renames a package from es to client

Discovered that some table to data frame conversion has not yet been done in this plugin. The tests that depend on that are now commented and an issue was created #175.

Which issue(s) this PR fixes:

Contributes to #117

Other information

Something I found interesting was that time in the "Points" used to be stored as float64 epoch time, so a "1000" time was the same as time.UnixMilli(1000).UTC() which is the same as time.Date(1970, time.January, 1, 0, 0, 1, 0, time.UTC). These are all typed now in the time-typed Fields.

[github-actions]

Backend code coverage report for PR #174

Plugin	Main	PR	Difference
opensearch	43.4%	77.9%	34.5%

[github-actions]

Frontend code coverage report for PR #174
No changes

[github-actions]

Levitate is-compatible report:

🔍 Resolving @grafana/data@latest...
🔍 Resolving @grafana/ui@latest...
🔍 Resolving @grafana/runtime@latest...
🔍 Resolving @grafana/e2e-selectors@latest...

🔬 Checking compatibility between ./src/module.ts and @grafana/data@9.5.2...
✔ Found @grafana/data version 9.0.2 locally

🔬 Checking compatibility between ./src/module.ts and @grafana/ui@9.5.2...
✔ Found @grafana/ui version 9.0.2 locally

🔬 Checking compatibility between ./src/module.ts and @grafana/runtime@9.5.2...
✔ Found @grafana/runtime version 9.0.2 locally

🔬 Checking compatibility between ./src/module.ts and @grafana/e2e-selectors@9.5.2...
✔ Found @grafana/e2e-selectors version 9.0.2 locally

✔️ ./src/module.ts appears to be compatible with @grafana/data,@grafana/ui,@grafana/runtime,@grafana/e2e-selectors

[iwysiu]

Besides my note on what I think So(seriesOne.Points, ShouldHaveLength, 2) from the original is checking (I think it's checking the number of data points while you're checking the number of fields per data point) looks good!

[sarahzinger]

🚀