Add block size benchmarking scripts

e2e-tests/utils/block_size_benchmarks/README.md

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+# Block Size Benchmarking Scripts
+
+Script calculates block propagation time as a timestamp difference between “Pre-sealed block for proposal” and “Imported #XXX” lines from partner-chains node logs.
+
+## How to use
+
+1. Install `python3`, `pip`
+2. Install pandas - `pip install pandas`
+3. Gather logs from nodes. Put logs from each node in the dedicated txt file: alice.txt, bob.txt, etc
+4. Transform raw Grafana logs to a logs for a particular node: `python3 transformer.py`
+5. Extract data from logs: `python3 extractor.py`
+6. Generate statistics by node `python3 analyzer.py block_propagation_report.txt analysis.txt`

e2e-tests/utils/block_size_benchmarks/analyzer.py

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+#!/usr/bin/env python3
+
+import sys
+import re
+import statistics
+from typing import Dict, List, Optional, Tuple
+
+
+class Block:
+    def __init__(self, number: int, hash_str: Optional[str] = None):
+        self.number = number
+        self.hash = hash_str
+        self.creator: Optional[str] = None
+        self.imports: Dict[str, float] = {}
+
+    def add_import(self, node: str, delay_ms: float):
+        self.imports[node] = delay_ms
+
+    def has_all_nodes(self, required_nodes: List[str]) -> bool:
+        return all(node in self.imports for node in required_nodes)
+
+    def is_complete(self, required_nodes: List[str]) -> bool:
+        return (self.creator and self.creator != 'unknown'
+                and self.has_all_nodes(required_nodes))
+
+
+class BlockPropagationAnalyzer:
+    def __init__(self, nodes: List[str]):
+        if not nodes:
+            raise ValueError("At least one node must be specified")
+        self.all_nodes = [node.lower() for node in nodes]
+        self.blocks: List[Block] = []
+
+    def parse_file(self, filename: str) -> None:
+        try:
+            with open(filename, 'r', encoding='utf-8') as file:
+                content = file.read()
+        except FileNotFoundError:
+            print(f"Error: File '{filename}' not found.")
+            sys.exit(1)
+        except Exception as e:
+            print(f"Error reading file '{filename}': {e}")
+            sys.exit(1)
+        self._parse_content(content)
+
+    def _parse_content(self, content: str) -> None:
+        lines = content.split('\n')
+        current_block = None
+        for line in lines:
+            line = line.strip()
+            if line.startswith('Block #'):
+                current_block = self._parse_block_header(line)
+                if current_block:
+                    self.blocks.append(current_block)
+            elif line.startswith('Created by:') and current_block:
+                current_block.creator = self._parse_creator(line)
+            elif line.startswith('Imported by') and current_block:
+                node, delay = self._parse_import(line)
+                if node:
+                    current_block.add_import(node, delay)
+            elif 'Creator unknown' in line and current_block:
+                current_block.creator = 'unknown'
+
+    def _parse_block_header(self, line: str) -> Optional[Block]:
+        block_match = re.search(r'Block #(\d+)', line)
+        hash_match = re.search(r'0x[a-f0-9]{4}…[a-f0-9]{4}', line)
+        if block_match:
+            number = int(block_match.group(1))
+            hash_str = hash_match.group(0) if hash_match else None
+            return Block(number, hash_str)
+        return None
+
+    def _parse_creator(self, line: str) -> Optional[str]:
+        creator_match = re.search(r'Created by: (\w+)', line)
+        return creator_match.group(1).lower() if creator_match else None
+
+    def _parse_import(self, line: str) -> Tuple[Optional[str], float]:
+        import_match = re.search(
+            r'Imported by (\w+)'
+            r'(?:\s+\(creator node\))?'
+            r'(?:\s+after ([\d.]+) ms)?',
+            line
+        )
+        if import_match:
+            node = import_match.group(1).lower()
+            delay_str = import_match.group(2)
+            delay = float(delay_str) if delay_str else 0.0
+            return node, delay
+        return None, 0.0
+
+    def get_complete_blocks(self) -> List[Block]:
+        return [block for block in self.blocks
+                if block.is_complete(self.all_nodes)]
+
+    def _format_table_row(self, values: List[str], widths: List[int]) -> str:
+        formatted_values = []
+        for i, (value, width) in enumerate(zip(values, widths)):
+            if i == 0:
+                formatted_values.append(f"{value:<{width}}")
+            else:
+                formatted_values.append(f"{value:^{width}}")
+        return "| " + " | ".join(formatted_values) + " |"
+
+    def generate_summary_statistics(self, complete_blocks: List[Block]) -> str:
+        lines = []
+        lines.append("=== SUMMARY STATISTICS BY NODE ===")
+        lines.append("")
+
+        stats = {}
+        for node in self.all_nodes:
+            blocks_created = len([block for block in complete_blocks if block.creator == node])
+
+            import_times = [
+                float(block.imports[node])
+                for block in complete_blocks
+                if block.creator != node
+            ]
+
+            avg_import = statistics.mean(import_times) if import_times else 0
+
+            stats[node] = {
+                'blocks_created': blocks_created,
+                'blocks_imported': len(import_times),
+                'min_import': min(import_times) if import_times else 0,
+                'max_import': max(import_times) if import_times else 0,
+                'avg_import': avg_import
+            }
+
+        header = "| Node    | Blocks Created | Blocks Imported | Min Import Time | Max Import Time | Avg Import Time |"
+        separator = "|---------|----------------|-----------------|-----------------|-----------------|-----------------|"
+        lines.append(header)
+        lines.append(separator)
+
+        for node in self.all_nodes:
+            s = stats[node]
+            row = (f"| {node.capitalize():<7} | {s['blocks_created']:<14} | "
+                   f"{s['blocks_imported']:<15} | {s['min_import']:<15.0f} | "
+                   f"{s['max_import']:<15.0f} | {s['avg_import']:<15.1f} |")
+            lines.append(row)
+
+        return '\n'.join(lines)
+
+    def run(self, input_filename: str, output_filename: str) -> None:
+        """Main analysis function"""
+        print(f"Analyzing nodes: {', '.join(self.all_nodes)}")
+        print(f"Parsing file: {input_filename}")
+        self.parse_file(input_filename)
+        print(f"Total blocks parsed: {len(self.blocks)}")
+        complete_blocks = self.get_complete_blocks()
+        print(f"Complete blocks: {len(complete_blocks)}")
+        if not complete_blocks:
+            print("No complete blocks found. Exiting.")
+            sys.exit(1)
+        stats_table = self.generate_summary_statistics(complete_blocks)
+        try:
+            with open(output_filename, 'w', encoding='utf-8') as file:
+                file.write("# Block Propagation Analysis\n\n")
+                nodes = ', '.join(node.capitalize() for node in self.all_nodes)
+                file.write(f"**Nodes analyzed:** {nodes}")
+                file.write("\n\n")
+                file.write(stats_table)
+                file.write("\n\n")
+            print(f"Analysis complete. Results saved to: {output_filename}")
+        except Exception as e:
+            print(f"Error writing output file '{output_filename}': {e}")
+            sys.exit(1)
+
+
+def main():
+    nodes = [
+        "alice",
+        "bob",
+        "charlie",
+        "dave",
+        "eve",
+        "ferdie",
+        "george",
+        "henry",
+        "iris",
+        "jack"
+    ]
+
+    if len(sys.argv) < 3:
+        print(
+            "Usage: python analyzer.py <input_file.txt> <output_file.txt> "
+            "[node1 node2 node3 ...]"
+        )
+        print(
+            "Example: python analyzer.py data.txt results.txt "
+            "alice bob charlie"
+        )
+        print(
+            "If no nodes specified, default nodes will be used: "
+            f"{', '.join(nodes)}"
+        )
+        sys.exit(1)
+
+    input_file = sys.argv[1]
+    output_file = sys.argv[2]
+
+    if len(sys.argv) > 3:
+        nodes = sys.argv[3:]
+
+    try:
+        analyzer = BlockPropagationAnalyzer(nodes)
+        analyzer.run(input_file, output_file)
+    except ValueError as e:
+        print(f"Error: {e}")
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()