Prints a comprehensive text summary of profiling data suitable for terminal output or AI agent consumption.
Arguments
- x
A profvis object from
profvis::profvis().- n_functions
Number of top functions to show (default 10).
- n_lines
Number of hot source lines to show (default 10).
- n_paths
Number of hot paths to show (default 5).
- n_memory
Number of memory hotspots to show (default 5).
Value
Invisibly returns the result of pv_debrief().
Examples
p <- pv_example()
pv_print_debrief(p)
#> ## PROFILING SUMMARY
#>
#>
#> Total time: 70 ms (14 samples @ 5 ms interval)
#> Source references: available
#>
#>
#> ### TOP FUNCTIONS BY SELF-TIME
#> 30 ms ( 42.9%) rnorm
#> 20 ms ( 28.6%) x[i] <- rnorm(1)
#> 15 ms ( 21.4%) generate_data
#> 5 ms ( 7.1%) result[i] <- sqrt(abs(x[i])) * 2
#>
#> ### TOP FUNCTIONS BY TOTAL TIME
#> 70 ms (100.0%) process_data
#> 65 ms ( 92.9%) generate_data
#> 30 ms ( 42.9%) rnorm
#> 20 ms ( 28.6%) x[i] <- rnorm(1)
#> 5 ms ( 7.1%) result[i] <- sqrt(abs(x[i])) * 2
#> 5 ms ( 7.1%) transform_data
#>
#> ### HOT LINES (by self-time)
#> 50 ms ( 71.4%) example_code.R:13
#> x[i] <- rnorm(1)
#> 15 ms ( 21.4%) example_code.R:5
#> data <- generate_data(n)
#> 5 ms ( 7.1%) example_code.R:21
#> result[i] <- sqrt(abs(x[i])) * 2
#>
#> ### HOT CALL PATHS
#>
#> 30 ms (42.9%) - 6 samples:
#> process_data
#> -> generate_data (example_code.R:5)
#> -> rnorm (example_code.R:13)
#>
#> 20 ms (28.6%) - 4 samples:
#> process_data
#> -> generate_data (example_code.R:5)
#> -> x[i] <- rnorm(1) (example_code.R:13)
#>
#> 15 ms (21.4%) - 3 samples:
#> process_data
#> -> generate_data (example_code.R:5)
#>
#> 5 ms (7.1%) - 1 samples:
#> process_data
#> -> transform_data (example_code.R:6)
#> -> result[i] <- sqrt(abs(x[i])) * 2 (example_code.R:21)
#>
#> ### MEMORY ALLOCATION (by function)
#> 1.38 MB rnorm
#> 1.26 MB x[i] <- rnorm(1)
#> 0.56 MB generate_data
#> 0.36 MB result[i] <- sqrt(abs(x[i])) * 2
#>
#> ### MEMORY ALLOCATION (by line)
#> 2.63 MB example_code.R:13
#> x[i] <- rnorm(1)
#> 0.56 MB example_code.R:5
#> data <- generate_data(n)
#> 0.36 MB example_code.R:21
#> result[i] <- sqrt(abs(x[i])) * 2
#>
#> ### Next steps
#> pv_focus(p, "rnorm")
#> pv_source_context(p, "example_code.R")
#> pv_suggestions(p)
#> pv_help()