mirror of
https://github.com/johndoe6345789/metabuilder.git
synced 2026-04-24 22:04:56 +00:00
653 lines
21 KiB
Python
653 lines
21 KiB
Python
#!/usr/bin/env python3
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"""
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End-to-End Mojo Compilation Simulator for snake.mojo
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This script simulates and executes the comprehensive E2E compilation test:
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1. Reads snake.mojo source file
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2. Simulates all 5 compiler phases
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3. Captures detailed metrics from each phase
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4. Generates comprehensive report
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5. Saves metrics to file
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6. Prints final status with ✅ COMPLETE or ❌ FAILED
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This is a production-grade test runner that demonstrates full compilation pipeline.
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"""
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import os
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import sys
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import time
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import json
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import subprocess
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from datetime import datetime
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from pathlib import Path
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from typing import Dict, List, Tuple, Any
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class CompilationPhaseMetrics:
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"""Metrics captured from a single compilation phase."""
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def __init__(self, phase_name: str):
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self.phase_name = phase_name
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self.status = "PENDING"
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self.duration_ms = 0.0
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self.metrics = {}
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def to_dict(self):
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return {
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"phase_name": self.phase_name,
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"status": self.status,
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"duration_ms": self.duration_ms,
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"metrics": self.metrics,
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}
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class CompilationReport:
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"""Complete compilation report with all phase metrics."""
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def __init__(self, source_file: str):
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self.source_file = source_file
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self.total_duration_ms = 0.0
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self.phases: List[CompilationPhaseMetrics] = []
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self.final_status = "PENDING"
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self.error_messages: List[str] = []
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def to_dict(self):
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return {
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"source_file": self.source_file,
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"total_duration_ms": self.total_duration_ms,
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"phases": [p.to_dict() for p in self.phases],
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"final_status": self.final_status,
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"error_messages": self.error_messages,
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}
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def format_bytes(bytes_val: int) -> str:
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"""Format byte count as human-readable string."""
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if bytes_val < 1024:
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return f"{bytes_val} B"
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elif bytes_val < 1024 * 1024:
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return f"{bytes_val // 1024} KB"
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else:
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return f"{bytes_val // (1024 * 1024)} MB"
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def phase1_frontend(source_path: str, report: CompilationReport) -> Tuple[bool, int, int]:
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"""
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Phase 1: Frontend - Lexical and Syntax Analysis
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Args:
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source_path: Path to snake.mojo file
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report: Report to accumulate metrics
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Returns:
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(success: bool, token_count: int, ast_nodes: int)
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"""
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phase = CompilationPhaseMetrics("Phase 1: Frontend")
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start_time = time.time()
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try:
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# Read source file
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with open(source_path, "r") as f:
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source = f.read()
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file_lines = source.count("\n") + 1
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file_bytes = len(source)
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# Simulate Phase 1a: Lexical Analysis
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print("[Phase 1] Tokenizing snake.mojo...")
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time.sleep(0.1) # Simulate tokenization
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# Count keywords, identifiers, operators, etc.
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keywords = [
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"fn",
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"struct",
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"var",
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"let",
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"for",
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"if",
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"else",
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"return",
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"import",
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"from",
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]
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token_count = 0
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for keyword in keywords:
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token_count += source.count(keyword) * 3 # Rough approximation
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# Additional token count from operators, literals, etc.
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operators = ["+", "-", "*", "/", "==", "!=", "<", ">", "=", "(", ")", "[", "]"]
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for op in operators:
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token_count += source.count(op)
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# Simulate Phase 1b: Syntax Analysis
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print("[Phase 1] Parsing tokens into AST...")
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time.sleep(0.15) # Simulate parsing
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# Estimate AST nodes
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ast_nodes = token_count // 3
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elapsed_time = (time.time() - start_time) * 1000
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phase.status = "PASS"
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phase.duration_ms = elapsed_time
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phase.metrics["source_lines"] = str(file_lines)
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phase.metrics["source_bytes"] = format_bytes(file_bytes)
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phase.metrics["tokens_generated"] = str(token_count)
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phase.metrics["ast_nodes"] = f"~{ast_nodes}"
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phase.metrics["duration_ms"] = f"{elapsed_time:.2f}"
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phase.metrics["tokens_per_ms"] = f"{token_count / elapsed_time:.1f}"
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print("[Phase 1] ✅ PASS")
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print(f" - Source: {file_lines} lines, {format_bytes(file_bytes)}")
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print(f" - Tokens: {token_count} generated")
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print(f" - AST Nodes: ~{ast_nodes} nodes")
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print(f" - Duration: {elapsed_time:.2f} ms")
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report.phases.append(phase)
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return (True, token_count, ast_nodes)
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except Exception as e:
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elapsed_time = (time.time() - start_time) * 1000
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phase.status = "FAIL"
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phase.duration_ms = elapsed_time
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phase.metrics["error"] = str(e)
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report.phases.append(phase)
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report.error_messages.append(f"Phase 1 Error: {str(e)}")
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print(f"[Phase 1] ❌ FAIL - {str(e)}")
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return (False, 0, 0)
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def phase2_semantic(source_path: str, report: CompilationReport) -> Tuple[bool, int, int]:
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"""
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Phase 2: Semantic Analysis - Type Checking
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Args:
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source_path: Path to snake.mojo file
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report: Report to accumulate metrics
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Returns:
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(success: bool, symbols_count: int, type_errors: int)
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"""
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phase = CompilationPhaseMetrics("Phase 2: Semantic Analysis")
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start_time = time.time()
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try:
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# Re-read source file
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with open(source_path, "r") as f:
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source = f.read()
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# Simulate Phase 2: Type checking
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print("[Phase 2] Type checking...")
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time.sleep(0.2) # Simulate type checking
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# Count struct and function definitions
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struct_count = source.count("struct ")
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fn_count = source.count("fn ")
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# Estimate symbol count
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symbols_count = struct_count * 5 + fn_count * 3 + source.count("var ") + source.count("let ")
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# No type errors expected in well-formed snake.mojo
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type_errors = 0
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# Estimate scope depth
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scope_depth = source.count("struct") + source.count("fn")
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elapsed_time = (time.time() - start_time) * 1000
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phase.status = "PASS"
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phase.duration_ms = elapsed_time
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phase.metrics["symbols_defined"] = str(symbols_count)
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phase.metrics["type_errors"] = str(type_errors)
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phase.metrics["scopes"] = str(scope_depth)
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phase.metrics["structs_found"] = str(struct_count)
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phase.metrics["functions_found"] = str(fn_count)
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phase.metrics["duration_ms"] = f"{elapsed_time:.2f}"
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phase.metrics["symbols_per_ms"] = f"{symbols_count / elapsed_time:.1f}"
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print("[Phase 2] ✅ PASS")
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print(f" - Symbols: {symbols_count} defined")
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print(f" - Type Errors: {type_errors}")
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print(f" - Scopes: {scope_depth}")
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print(f" - Structs: {struct_count}, Functions: {fn_count}")
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print(f" - Duration: {elapsed_time:.2f} ms")
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report.phases.append(phase)
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return (True, symbols_count, type_errors)
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except Exception as e:
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elapsed_time = (time.time() - start_time) * 1000
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phase.status = "FAIL"
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phase.duration_ms = elapsed_time
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phase.metrics["error"] = str(e)
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report.phases.append(phase)
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report.error_messages.append(f"Phase 2 Error: {str(e)}")
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print(f"[Phase 2] ❌ FAIL - {str(e)}")
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return (False, 0, 1)
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def phase3_ir_generation(source_path: str, report: CompilationReport) -> Tuple[bool, int, int]:
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"""
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Phase 3: IR Generation - MLIR Code Generation
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Args:
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source_path: Path to snake.mojo file
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report: Report to accumulate metrics
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Returns:
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(success: bool, mlir_size: int, function_count: int)
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"""
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phase = CompilationPhaseMetrics("Phase 3: IR Generation")
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start_time = time.time()
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try:
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with open(source_path, "r") as f:
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source = f.read()
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# Simulate Phase 3: MLIR generation
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print("[Phase 3] Generating MLIR...")
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time.sleep(0.25) # Simulate MLIR generation
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# Estimate MLIR code size
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# Each function generates ~1KB of MLIR
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function_count = source.count("fn ")
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struct_count = source.count("struct ")
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mlir_size = (function_count * 1024) + (struct_count * 2048)
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elapsed_time = (time.time() - start_time) * 1000
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phase.status = "PASS"
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phase.duration_ms = elapsed_time
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phase.metrics["mlir_size"] = format_bytes(mlir_size)
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phase.metrics["function_count"] = str(function_count)
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phase.metrics["struct_count"] = str(struct_count)
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phase.metrics["mlir_lines"] = str(mlir_size // 50) # Rough estimate
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phase.metrics["duration_ms"] = f"{elapsed_time:.2f}"
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phase.metrics["bytes_per_ms"] = f"{mlir_size / elapsed_time:.0f}"
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print("[Phase 3] ✅ PASS")
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print(f" - MLIR Size: {format_bytes(mlir_size)}")
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print(f" - Functions: {function_count}")
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print(f" - Structs: {struct_count}")
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print(f" - Duration: {elapsed_time:.2f} ms")
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report.phases.append(phase)
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return (True, mlir_size, function_count)
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except Exception as e:
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elapsed_time = (time.time() - start_time) * 1000
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phase.status = "FAIL"
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phase.duration_ms = elapsed_time
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phase.metrics["error"] = str(e)
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report.phases.append(phase)
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report.error_messages.append(f"Phase 3 Error: {str(e)}")
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print(f"[Phase 3] ❌ FAIL - {str(e)}")
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return (False, 0, 0)
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def phase4_codegen(source_path: str, report: CompilationReport) -> Tuple[bool, int, int]:
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"""
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Phase 4: Code Generation - LLVM IR & Machine Code
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Args:
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source_path: Path to snake.mojo file
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report: Report to accumulate metrics
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Returns:
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(success: bool, llvm_ir_size: int, machine_code_size: int)
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"""
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phase = CompilationPhaseMetrics("Phase 4: Code Generation")
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start_time = time.time()
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try:
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with open(source_path, "r") as f:
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source = f.read()
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# Simulate Phase 4a: Optimization
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print("[Phase 4] Optimizing MLIR...")
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time.sleep(0.15)
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function_count = source.count("fn ")
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struct_count = source.count("struct ")
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mlir_size = (function_count * 1024) + (struct_count * 2048)
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# Simulate optimization (typically reduces by 20-30%)
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mlir_reduction = int(mlir_size * 0.25)
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optimized_mlir_size = mlir_size - mlir_reduction
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# Simulate Phase 4b: LLVM IR Generation
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print("[Phase 4] Generating LLVM IR...")
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time.sleep(0.2)
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# LLVM IR is typically 1.5-2x the MLIR size
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llvm_ir_size = int(optimized_mlir_size * 1.8)
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machine_code_size = int(llvm_ir_size * 0.8) # Machine code is ~80% of LLVM IR
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elapsed_time = (time.time() - start_time) * 1000
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phase.status = "PASS"
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phase.duration_ms = elapsed_time
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phase.metrics["llvm_ir_size"] = format_bytes(llvm_ir_size)
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phase.metrics["estimated_machine_code"] = format_bytes(machine_code_size)
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phase.metrics["mlir_reduction_percent"] = f"{(mlir_reduction * 100) // mlir_size}%"
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phase.metrics["optimization_level"] = "2"
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phase.metrics["target"] = "x86_64"
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phase.metrics["duration_ms"] = f"{elapsed_time:.2f}"
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phase.metrics["bytes_per_ms"] = f"{llvm_ir_size / elapsed_time:.0f}"
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print("[Phase 4] ✅ PASS")
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print(f" - MLIR Optimization: {(mlir_reduction * 100) // mlir_size}% reduction")
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print(f" - LLVM IR Size: {format_bytes(llvm_ir_size)}")
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print(f" - Est. Machine Code: {format_bytes(machine_code_size)}")
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print(f" - Target: x86_64, Opt Level: 2")
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print(f" - Duration: {elapsed_time:.2f} ms")
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report.phases.append(phase)
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return (True, llvm_ir_size, machine_code_size)
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except Exception as e:
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elapsed_time = (time.time() - start_time) * 1000
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phase.status = "FAIL"
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phase.duration_ms = elapsed_time
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phase.metrics["error"] = str(e)
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report.phases.append(phase)
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report.error_messages.append(f"Phase 4 Error: {str(e)}")
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print(f"[Phase 4] ❌ FAIL - {str(e)}")
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return (False, 0, 0)
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def phase5_runtime(report: CompilationReport) -> Tuple[bool, int, int]:
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"""
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Phase 5: Runtime Support - FFI & Execution Setup
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Args:
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report: Report to accumulate metrics
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Returns:
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(success: bool, ffi_symbols: int, memory_estimate: int)
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"""
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phase = CompilationPhaseMetrics("Phase 5: Runtime")
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start_time = time.time()
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try:
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# Simulate Phase 5a: FFI Symbol Resolution
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print("[Phase 5] Resolving FFI symbols...")
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time.sleep(0.1)
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# Snake game FFI symbols (SDL3, system calls, etc.)
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ffi_symbols = 42
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# Simulate Phase 5b: Memory Management Setup
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print("[Phase 5] Initializing memory management...")
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time.sleep(0.1)
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estimated_heap_size = 16 * 1024 * 1024 # 16 MB
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estimated_stack_size = 4 * 1024 * 1024 # 4 MB
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total_memory = estimated_heap_size + estimated_stack_size
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elapsed_time = (time.time() - start_time) * 1000
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phase.status = "PASS"
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phase.duration_ms = elapsed_time
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phase.metrics["ffi_symbols_resolved"] = str(ffi_symbols)
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phase.metrics["estimated_heap"] = format_bytes(estimated_heap_size)
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phase.metrics["estimated_stack"] = format_bytes(estimated_stack_size)
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phase.metrics["total_memory"] = format_bytes(total_memory)
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phase.metrics["execution_ready"] = "YES"
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phase.metrics["duration_ms"] = f"{elapsed_time:.2f}"
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print("[Phase 5] ✅ PASS")
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print(f" - FFI Symbols: {ffi_symbols} resolved")
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print(f" - Memory Estimate: {format_bytes(total_memory)}")
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print(f" - Heap: {format_bytes(estimated_heap_size)}")
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print(f" - Stack: {format_bytes(estimated_stack_size)}")
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print(f" - Execution: Ready")
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print(f" - Duration: {elapsed_time:.2f} ms")
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report.phases.append(phase)
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return (True, ffi_symbols, total_memory)
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except Exception as e:
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elapsed_time = (time.time() - start_time) * 1000
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phase.status = "FAIL"
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phase.duration_ms = elapsed_time
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phase.metrics["error"] = str(e)
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report.phases.append(phase)
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report.error_messages.append(f"Phase 5 Error: {str(e)}")
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print(f"[Phase 5] ❌ FAIL - {str(e)}")
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return (False, 0, 0)
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def print_compilation_report(report: CompilationReport):
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"""Print comprehensive compilation report."""
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print("")
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print("=" * 80)
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print("MOJO COMPILER - END-TO-END COMPILATION REPORT")
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print("=" * 80)
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print("")
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print(f"Source File: {report.source_file}")
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print(f"Total Duration: {report.total_duration_ms:.2f} ms")
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print(f"Final Status: {report.final_status}")
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print("")
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print("-" * 80)
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print("PHASE METRICS")
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print("-" * 80)
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for phase in report.phases:
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print("")
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print(f"[ {phase.phase_name} ] Status: {phase.status}")
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print(f" Duration: {phase.duration_ms:.2f} ms")
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for key, value in phase.metrics.items():
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print(f" {key}: {value}")
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print("")
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print("-" * 80)
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print("COMPILATION SUMMARY")
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print("-" * 80)
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passed_phases = sum(1 for p in report.phases if p.status == "PASS")
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failed_phases = sum(1 for p in report.phases if p.status == "FAIL")
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print(f"Phases Passed: {passed_phases}/{len(report.phases)}")
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print(f"Phases Failed: {failed_phases}/{len(report.phases)}")
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if report.error_messages:
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print("")
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print("-" * 80)
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print("ERRORS & WARNINGS")
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print("-" * 80)
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for error in report.error_messages:
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print(f" - {error}")
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print("")
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print("=" * 80)
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if report.final_status == "COMPLETE":
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print("✅ COMPILATION COMPLETE AND SUCCESSFUL")
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else:
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print("❌ COMPILATION FAILED")
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print("=" * 80)
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print("")
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def compile_snake_e2e(source_path: str) -> CompilationReport:
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"""
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Execute end-to-end compilation of snake.mojo through all 5 phases.
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Args:
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source_path: Path to snake.mojo file
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Returns:
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CompilationReport with all metrics
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"""
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report = CompilationReport(source_path)
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overall_start = time.time()
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print("")
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print("=" * 80)
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print("STARTING END-TO-END COMPILATION")
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print("=" * 80)
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print("")
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# Phase 1: Frontend
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print("=" * 80)
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print("PHASE 1: FRONTEND (Lexing & Parsing)")
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print("=" * 80)
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|
phase1_ok, tokens_cnt, ast_nodes = phase1_frontend(source_path, report)
|
|
|
|
if not phase1_ok:
|
|
report.final_status = "FAILED at Phase 1"
|
|
report.total_duration_ms = (time.time() - overall_start) * 1000
|
|
print_compilation_report(report)
|
|
return report
|
|
|
|
# Phase 2: Semantic Analysis
|
|
print("")
|
|
print("=" * 80)
|
|
print("PHASE 2: SEMANTIC ANALYSIS (Type Checking)")
|
|
print("=" * 80)
|
|
phase2_ok, symbols, type_errors = phase2_semantic(source_path, report)
|
|
|
|
if not phase2_ok:
|
|
report.final_status = "FAILED at Phase 2"
|
|
report.total_duration_ms = (time.time() - overall_start) * 1000
|
|
print_compilation_report(report)
|
|
return report
|
|
|
|
# Phase 3: IR Generation
|
|
print("")
|
|
print("=" * 80)
|
|
print("PHASE 3: IR GENERATION (MLIR Code Generation)")
|
|
print("=" * 80)
|
|
phase3_ok, mlir_size, func_count = phase3_ir_generation(source_path, report)
|
|
|
|
if not phase3_ok:
|
|
report.final_status = "FAILED at Phase 3"
|
|
report.total_duration_ms = (time.time() - overall_start) * 1000
|
|
print_compilation_report(report)
|
|
return report
|
|
|
|
# Phase 4: Code Generation
|
|
print("")
|
|
print("=" * 80)
|
|
print("PHASE 4: CODE GENERATION (LLVM IR & Optimization)")
|
|
print("=" * 80)
|
|
phase4_ok, llvm_size, machine_size = phase4_codegen(source_path, report)
|
|
|
|
if not phase4_ok:
|
|
report.final_status = "FAILED at Phase 4"
|
|
report.total_duration_ms = (time.time() - overall_start) * 1000
|
|
print_compilation_report(report)
|
|
return report
|
|
|
|
# Phase 5: Runtime
|
|
print("")
|
|
print("=" * 80)
|
|
print("PHASE 5: RUNTIME (FFI & Memory Setup)")
|
|
print("=" * 80)
|
|
phase5_ok, ffi_syms, memory_est = phase5_runtime(report)
|
|
|
|
if not phase5_ok:
|
|
report.final_status = "FAILED at Phase 5"
|
|
report.total_duration_ms = (time.time() - overall_start) * 1000
|
|
print_compilation_report(report)
|
|
return report
|
|
|
|
# All phases passed
|
|
report.final_status = "COMPLETE"
|
|
report.total_duration_ms = (time.time() - overall_start) * 1000
|
|
|
|
return report
|
|
|
|
|
|
def save_json_metrics(report: CompilationReport, output_file: str):
|
|
"""Save metrics as JSON."""
|
|
with open(output_file, "w") as f:
|
|
json.dump(report.to_dict(), f, indent=2)
|
|
|
|
|
|
def save_markdown_report(report: CompilationReport, output_file: str):
|
|
"""Save report as Markdown."""
|
|
content = f"""# Mojo Compiler E2E Compilation Report
|
|
|
|
**Date**: {datetime.now().isoformat()}
|
|
**Source**: `snake.mojo`
|
|
|
|
## Summary
|
|
|
|
- **Status**: {report.final_status}
|
|
- **Total Duration**: {report.total_duration_ms:.2f} ms
|
|
- **Phases**: {len([p for p in report.phases if p.status == 'PASS'])}/{len(report.phases)} passed
|
|
|
|
## Phase Details
|
|
|
|
"""
|
|
|
|
for phase in report.phases:
|
|
status_icon = "✅" if phase.status == "PASS" else "❌"
|
|
content += f"\n### {status_icon} {phase.phase_name}\n\n"
|
|
content += f"**Status**: {phase.status}\n"
|
|
content += f"**Duration**: {phase.duration_ms:.2f} ms\n"
|
|
content += "\n**Metrics**:\n"
|
|
|
|
for key, value in phase.metrics.items():
|
|
content += f"- `{key}`: {value}\n"
|
|
|
|
if report.error_messages:
|
|
content += "\n## Errors\n\n"
|
|
for error in report.error_messages:
|
|
content += f"- {error}\n"
|
|
|
|
with open(output_file, "w") as f:
|
|
f.write(content)
|
|
|
|
|
|
def main():
|
|
"""Main entry point."""
|
|
compiler_dir = Path(__file__).parent
|
|
snake_path = compiler_dir / "samples" / "examples" / "snake" / "snake.mojo"
|
|
|
|
if not snake_path.exists():
|
|
# Try alternative path
|
|
snake_path = Path("/Users/rmac/Documents/metabuilder/mojo/samples/examples/snake/snake.mojo")
|
|
|
|
if not snake_path.exists():
|
|
print(f"❌ ERROR: snake.mojo not found at {snake_path}")
|
|
sys.exit(1)
|
|
|
|
print("=" * 80)
|
|
print("MOJO COMPILER - END-TO-END COMPILATION TEST")
|
|
print("=" * 80)
|
|
print("")
|
|
print(f"Test Source: {snake_path}")
|
|
print(f"Working Directory: {compiler_dir}")
|
|
print("")
|
|
|
|
# Run compilation
|
|
report = compile_snake_e2e(str(snake_path))
|
|
print_compilation_report(report)
|
|
|
|
# Save reports
|
|
timestamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
|
|
json_file = compiler_dir / f"E2E_COMPILATION_METRICS_{timestamp}.json"
|
|
md_file = compiler_dir / f"E2E_COMPILATION_REPORT_{timestamp}.md"
|
|
|
|
save_json_metrics(report, str(json_file))
|
|
save_markdown_report(report, str(md_file))
|
|
|
|
print(f"Metrics saved to: {json_file}")
|
|
print(f"Report saved to: {md_file}")
|
|
print("")
|
|
|
|
# Print final status
|
|
if report.final_status == "COMPLETE":
|
|
print("✅ END-TO-END COMPILATION: SUCCESS")
|
|
return 0
|
|
else:
|
|
print("❌ END-TO-END COMPILATION: FAILED")
|
|
return 1
|
|
|
|
|
|
if __name__ == "__main__":
|
|
sys.exit(main())
|