chore: add event field coverage to discovery script

[chrisk314]

Summary

Adds event_field_coverage metadata to the component discovery script so the UI server can track which input fields are populated by event handlers.

Changes

• Captures event_field_coverage from component IO during discovery and includes it in the payload posted to the API.

[github-actions]

Benchmark comparison for f452c7de (base) vs d74d30a4 (PR)

------------------------------------------------------------------------------------------------------------------ benchmark: 2 tests -----------------------------------------------------------------------------------------------------------------
Name (time in ms)                                                                         Min                 Max                Mean            StdDev              Median               IQR            Outliers     OPS            Rounds  Iterations
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_benchmark_process_run (main/.benchmarks/Linux-CPython-3.14-64bit/0001_base)     274.3672 (1.0)      278.7865 (1.0)      276.6366 (1.0)      1.6364 (1.0)      276.9616 (1.0)      2.0607 (1.0)           2;0  3.6149 (1.0)           5           1
test_benchmark_process_run (pr/.benchmarks/Linux-CPython-3.14-64bit/0001_pr)         280.5363 (1.02)     292.4543 (1.05)     285.0263 (1.03)     4.8175 (2.94)     282.5504 (1.02)     6.5386 (3.17)          1;0  3.5084 (0.97)          5           1
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Legend:
  Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.
  OPS: Operations Per Second, computed as 1 / Mean

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.

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[github-actions]

Benchmark comparison for f452c7de (base) vs d75fe798 (PR)

------------------------------------------------------------------------------------------------------------------- benchmark: 2 tests ------------------------------------------------------------------------------------------------------------------
Name (time in ms)                                                                         Min                 Max                Mean             StdDev              Median                IQR            Outliers     OPS            Rounds  Iterations
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_benchmark_process_run (pr/.benchmarks/Linux-CPython-3.14-64bit/0001_pr)         284.2967 (1.0)      291.7126 (1.0)      288.5966 (1.0)       3.1053 (1.0)      288.8606 (1.0)       5.1879 (1.0)           2;0  3.4650 (1.0)           5           1
test_benchmark_process_run (main/.benchmarks/Linux-CPython-3.14-64bit/0001_base)     288.4456 (1.01)     315.6423 (1.08)     295.9015 (1.03)     11.4065 (3.67)     290.1715 (1.00)     11.6395 (2.24)          1;0  3.3795 (0.98)          5           1
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Legend:
  Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.
  OPS: Operations Per Second, computed as 1 / Mean

[github-actions]

Benchmark comparison for f452c7de (base) vs 81460bc2 (PR)

------------------------------------------------------------------------------------------------------------------ benchmark: 2 tests -----------------------------------------------------------------------------------------------------------------
Name (time in ms)                                                                         Min                 Max                Mean            StdDev              Median               IQR            Outliers     OPS            Rounds  Iterations
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_benchmark_process_run (main/.benchmarks/Linux-CPython-3.14-64bit/0001_base)     372.2149 (1.0)      377.2642 (1.0)      375.0669 (1.0)      1.9172 (1.0)      375.6479 (1.0)      2.5174 (1.0)           2;0  2.6662 (1.0)           5           1
test_benchmark_process_run (pr/.benchmarks/Linux-CPython-3.14-64bit/0001_pr)         376.2080 (1.01)     386.2521 (1.02)     379.3528 (1.01)     4.3425 (2.27)     376.6928 (1.00)     5.9093 (2.35)          1;0  2.6361 (0.99)          5           1
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Legend:
  Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.
  OPS: Operations Per Second, computed as 1 / Mean