job.sh

# Function to get job runtimes for a specific workflow and job
get_job_runtimes() {
    local workflow_file=$1
    local job_name=$2

    echo "Analyzing $workflow_file - $job_name"

    # Get recent successful runs
    run_ids=$(gh run list --workflow "$workflow_file" --limit 30 --json status,databaseId,conclusion | \
              jq -r '.[] | select(.conclusion=="success") | .databaseId' | head -20)

    if [ -z "$run_ids" ]; then
        echo "  No successful runs found"
        return
    fi

    # Collect runtimes
    runtimes=()
    for run_id in $run_ids; do
        runtime=$(gh run view $run_id --json jobs 2>/dev/null | \
                  jq -r ".jobs[] | select(.name==\"$job_name\") | ((.completedAt | fromdateiso8601) - (.startedAt | fromdateiso8601)) / 60" 2>/dev/null)
        if [ ! -z "$runtime" ] && [ "$runtime" != "null" ]; then
            runtimes+=($runtime)
        fi
    done

    if [ ${#runtimes[@]} -eq 0 ]; then
        echo "  No runtime data available"
        return
    fi

    # Sort runtimes
    sorted_runtimes=($(printf '%s\n' "${runtimes[@]}" | sort -n))

    # Calculate 95th percentile
    count=${#sorted_runtimes[@]}
    index=$(( (count * 95 + 99) / 100 - 1 ))
    if [ $index -ge $count ]; then
        index=$((count - 1))
    fi

    p95=${sorted_runtimes[$index]}

    # Round up to nearest minute
    p95_minutes=$(echo "$p95" | awk '{print int($1 + 0.999)}')

    echo "  Samples: $count"
    echo "  95th percentile: $p95 minutes"
    echo "  Recommended timeout: $p95_minutes minutes"
    echo ""
}