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Mole/tests/performance.bats

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#!/usr/bin/env bats
# Performance benchmark tests for Mole optimizations
# Tests the performance improvements introduced in V1.14.0+
setup_file() {
PROJECT_ROOT="$(cd "${BATS_TEST_DIRNAME}/.." && pwd)"
export PROJECT_ROOT
# Create test data directory
TEST_DATA_DIR="$(mktemp -d "${BATS_TEST_DIRNAME}/tmp-perf.XXXXXX")"
export TEST_DATA_DIR
}
teardown_file() {
rm -rf "$TEST_DATA_DIR"
}
setup() {
source "$PROJECT_ROOT/lib/core/base.sh"
}
# ============================================================================
# bytes_to_human Performance Tests
# ============================================================================
@test "bytes_to_human handles large values efficiently" {
local start end elapsed
# Warm up
bytes_to_human 1073741824 > /dev/null
# Benchmark: 1000 iterations should complete in < 2 seconds (relaxed threshold)
start=$(date +%s%N)
for i in {1..1000}; do
bytes_to_human 1073741824 > /dev/null
done
end=$(date +%s%N)
elapsed=$(( (end - start) / 1000000 )) # Convert to milliseconds
# Should complete in less than 2000ms (2 seconds)
[ "$elapsed" -lt 2000 ]
}
@test "bytes_to_human produces correct output for GB range" {
result=$(bytes_to_human 1073741824)
[ "$result" = "1.00GB" ]
result=$(bytes_to_human 5368709120)
[ "$result" = "5.00GB" ]
}
@test "bytes_to_human produces correct output for MB range" {
result=$(bytes_to_human 1048576)
[ "$result" = "1.0MB" ]
result=$(bytes_to_human 104857600)
[ "$result" = "100.0MB" ]
}
@test "bytes_to_human produces correct output for KB range" {
result=$(bytes_to_human 1024)
[ "$result" = "1KB" ]
result=$(bytes_to_human 10240)
[ "$result" = "10KB" ]
}
@test "bytes_to_human handles edge cases" {
# Zero bytes
result=$(bytes_to_human 0)
[ "$result" = "0B" ]
# Invalid input returns 0B (with error code 1)
run bytes_to_human "invalid"
[ "$status" -eq 1 ]
[ "$output" = "0B" ]
# Negative should also fail validation
run bytes_to_human "-100"
[ "$status" -eq 1 ]
[ "$output" = "0B" ]
}
# ============================================================================
# BSD Stat Wrapper Performance Tests
# ============================================================================
@test "get_file_size is faster than multiple stat calls" {
# Create test file
local test_file="$TEST_DATA_DIR/size_test.txt"
dd if=/dev/zero of="$test_file" bs=1024 count=100 2> /dev/null
# Benchmark: 100 calls should complete quickly
local start end elapsed
start=$(date +%s%N)
for i in {1..100}; do
get_file_size "$test_file" > /dev/null
done
end=$(date +%s%N)
elapsed=$(( (end - start) / 1000000 ))
# Should complete in less than 1000ms (relaxed threshold)
[ "$elapsed" -lt 1000 ]
}
@test "get_file_mtime returns valid timestamp" {
local test_file="$TEST_DATA_DIR/mtime_test.txt"
touch "$test_file"
result=$(get_file_mtime "$test_file")
# Should be a valid epoch timestamp (10 digits)
[[ "$result" =~ ^[0-9]{10,}$ ]]
}
@test "get_file_owner returns current user for owned files" {
local test_file="$TEST_DATA_DIR/owner_test.txt"
touch "$test_file"
result=$(get_file_owner "$test_file")
current_user=$(whoami)
[ "$result" = "$current_user" ]
}
# ============================================================================
# User Context Detection Performance Tests
# ============================================================================
@test "get_invoking_user executes quickly" {
local start end elapsed
start=$(date +%s%N)
for i in {1..100}; do
get_invoking_user > /dev/null
done
end=$(date +%s%N)
elapsed=$(( (end - start) / 1000000 ))
# Should complete in less than 200ms
[ "$elapsed" -lt 200 ]
}
@test "get_darwin_major caches correctly" {
# Multiple calls should return same result
local first second
first=$(get_darwin_major)
second=$(get_darwin_major)
[ "$first" = "$second" ]
[[ "$first" =~ ^[0-9]+$ ]]
}
# ============================================================================
# Temporary File Management Performance Tests
# ============================================================================
@test "create_temp_file and cleanup_temp_files work efficiently" {
local start end elapsed
# Ensure MOLE_TEMP_DIRS is initialized (base.sh should do this)
declare -a MOLE_TEMP_DIRS=()
# Create 50 temp files (reduced from 100 for faster testing)
start=$(date +%s%N)
for i in {1..50}; do
create_temp_file > /dev/null
done
end=$(date +%s%N)
elapsed=$(( (end - start) / 1000000 ))
# Should complete in less than 1000ms
[ "$elapsed" -lt 1000 ]
# Verify temp files were tracked
[ "${#MOLE_TEMP_FILES[@]}" -eq 50 ]
# Cleanup should also be reasonably fast
start=$(date +%s%N)
cleanup_temp_files
end=$(date +%s%N)
elapsed=$(( (end - start) / 1000000 ))
# Relaxed threshold: should complete within 2 seconds
[ "$elapsed" -lt 2000 ]
# Verify cleanup
[ "${#MOLE_TEMP_FILES[@]}" -eq 0 ]
}
@test "mktemp_file creates files with correct prefix" {
local temp_file
temp_file=$(mktemp_file "test_prefix")
# Should contain prefix
[[ "$temp_file" =~ test_prefix ]]
# Should exist
[ -f "$temp_file" ]
# Cleanup
rm -f "$temp_file"
}
# ============================================================================
# Brand Name Lookup Performance Tests
# ============================================================================
@test "get_brand_name handles common apps efficiently" {
local start end elapsed
# Warm up (first call includes defaults read which is slow)
get_brand_name "wechat" > /dev/null
# Benchmark: 50 lookups (reduced from 100)
start=$(date +%s%N)
for i in {1..50}; do
get_brand_name "wechat" > /dev/null
get_brand_name "QQ" > /dev/null
get_brand_name "dingtalk" > /dev/null
done
end=$(date +%s%N)
elapsed=$(( (end - start) / 1000000 ))
# Relaxed threshold: defaults read is called multiple times
# Should complete within 5 seconds on most systems
[ "$elapsed" -lt 5000 ]
}
@test "get_brand_name returns correct localized names" {
# Test should work regardless of system language
local result
result=$(get_brand_name "wechat")
# Should return either "WeChat" or "微信"
[[ "$result" == "WeChat" || "$result" == "微信" ]]
}
# ============================================================================
# Parallel Job Calculation Tests
# ============================================================================
@test "get_optimal_parallel_jobs returns sensible values" {
local result
# Default mode
result=$(get_optimal_parallel_jobs)
[[ "$result" =~ ^[0-9]+$ ]]
[ "$result" -gt 0 ]
[ "$result" -le 128 ]
# Scan mode (should be higher)
local scan_jobs
scan_jobs=$(get_optimal_parallel_jobs "scan")
[ "$scan_jobs" -gt "$result" ]
# Compute mode (should be lower)
local compute_jobs
compute_jobs=$(get_optimal_parallel_jobs "compute")
[ "$compute_jobs" -le "$scan_jobs" ]
}
# ============================================================================
# Section Tracking Performance Tests
# ============================================================================
@test "section tracking has minimal overhead" {
local start end elapsed
# Warm up
note_activity
start=$(date +%s%N)
for i in {1..1000}; do
note_activity
done
end=$(date +%s%N)
elapsed=$(( (end - start) / 1000000 ))
# Should complete in less than 1000ms (relaxed threshold)
[ "$elapsed" -lt 1000 ]
}