This is an AI generated script to review DPDK patches against the AGENTS.md coding guidelines using AI language models.
Supported AI providers: - Anthropic Claude (default) - OpenAI ChatGPT - xAI Grok - Google Gemini The script reads a patch file and the AGENTS.md guidelines, then submits them to the selected AI provider for review. Results are organized by severity level (Error, Warning, Info) as defined in the guidelines. Features: - Provider selection via -p/--provider option - Custom model selection via -m/--model option - Verbose mode shows token usage statistics - Uses temporary files for API requests to handle large patches - Prompt caching support for Anthropic to reduce costs Usage: ./devtools/analyze-patch.py 0001-net-ixgbe-fix-something.patch ./devtools/analyze-patch.py -p xai my-patch.patch ./devtools/analyze-patch.py -l # list providers Requires the appropriate API key environment variable to be set for the chosen provider (ANTHROPIC_API_KEY, OPENAI_API_KEY, XAI_API_KEY, or GOOGLE_API_KEY). Signed-off-by: Stephen Hemminger <[email protected]> --- devtools/analyze-patch.py | 731 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 731 insertions(+) create mode 100755 devtools/analyze-patch.py diff --git a/devtools/analyze-patch.py b/devtools/analyze-patch.py new file mode 100755 index 0000000000..100a43ea9a --- /dev/null +++ b/devtools/analyze-patch.py @@ -0,0 +1,731 @@ +#!/usr/bin/env python3 +# SPDX-License-Identifier: BSD-3-Clause +# Copyright(c) 2026 Stephen Hemminger + +""" +Analyze DPDK patches using AI providers. + +Supported providers: Anthropic Claude, OpenAI ChatGPT, xAI Grok, Google Gemini +""" + +import argparse +import json +import os +import re +import subprocess +import sys +import tempfile +from email.message import EmailMessage +from pathlib import Path +from urllib.request import Request, urlopen +from urllib.error import URLError, HTTPError + +# Output formats +OUTPUT_FORMATS = ["text", "markdown", "html", "json"] + +# Provider configurations +PROVIDERS = { + "anthropic": { + "name": "Claude", + "endpoint": "https://api.anthropic.com/v1/messages";, + "default_model": "claude-sonnet-4-5-20250929", + "env_var": "ANTHROPIC_API_KEY", + }, + "openai": { + "name": "ChatGPT", + "endpoint": "https://api.openai.com/v1/chat/completions";, + "default_model": "gpt-4o", + "env_var": "OPENAI_API_KEY", + }, + "xai": { + "name": "Grok", + "endpoint": "https://api.x.ai/v1/chat/completions";, + "default_model": "grok-3", + "env_var": "XAI_API_KEY", + }, + "google": { + "name": "Gemini", + "endpoint": "https://generativelanguage.googleapis.com/v1beta/models";, + "default_model": "gemini-2.0-flash", + "env_var": "GOOGLE_API_KEY", + }, +} + +SYSTEM_PROMPT = """You are an expert DPDK code reviewer. Analyze patches for \ +compliance with DPDK coding standards and contribution guidelines. Provide \ +clear, actionable feedback organized by severity (Error, Warning, Info) as \ +defined in the guidelines.""" + +FORMAT_INSTRUCTIONS = { + "text": """Provide your review in plain text format.""", + "markdown": """Provide your review in Markdown format with: +- Headers (##) for each severity level (Errors, Warnings, Info) +- Bullet points for individual issues +- Code blocks (```) for code references +- Bold (**) for emphasis on key points""", + "html": """Provide your review in HTML format with: +- <h2> tags for each severity level (Errors, Warnings, Info) +- <ul>/<li> for individual issues +- <pre><code> for code references +- <strong> for emphasis on key points +- Use appropriate semantic HTML tags +- Do NOT include <html>, <head>, or <body> tags - just the content""", + "json": """Provide your review in JSON format with this structure: +{ + "summary": "Brief one-line summary of the review", + "errors": [ + {"issue": "description", "location": "file:line", "suggestion": "fix"} + ], + "warnings": [ + {"issue": "description", "location": "file:line", "suggestion": "fix"} + ], + "info": [ + {"issue": "description", "location": "file:line", "suggestion": "fix"} + ], + "passed_checks": ["list of checks that passed"], + "overall_status": "PASS|WARN|FAIL" +} +Output ONLY valid JSON, no markdown code fences or other text.""", +} + +USER_PROMPT = """Please review the following DPDK patch file '{patch_name}' \ +against the AGENTS.md guidelines. Check for: + +1. Commit message format (subject line, body, tags) +2. License/copyright compliance +3. C coding style issues +4. API and documentation requirements +5. Any other guideline violations + +{format_instruction} + +--- PATCH CONTENT --- +""" + + +def error(msg): + """Print error message and exit.""" + print(f"Error: {msg}", file=sys.stderr) + sys.exit(1) + + +def get_git_config(key): + """Get a value from git config.""" + try: + result = subprocess.run( + ["git", "config", "--get", key], + capture_output=True, + text=True, + check=True, + ) + return result.stdout.strip() + except (subprocess.CalledProcessError, FileNotFoundError): + return None + + +def build_anthropic_request( + model, max_tokens, agents_content, patch_content, patch_name, output_format="text" +): + """Build request payload for Anthropic API.""" + format_instruction = FORMAT_INSTRUCTIONS.get(output_format, "") + user_prompt = USER_PROMPT.format( + patch_name=patch_name, format_instruction=format_instruction + ) + return { + "model": model, + "max_tokens": max_tokens, + "system": [ + {"type": "text", "text": SYSTEM_PROMPT}, + { + "type": "text", + "text": agents_content, + "cache_control": {"type": "ephemeral"}, + }, + ], + "messages": [ + { + "role": "user", + "content": user_prompt + patch_content, + } + ], + } + + +def build_openai_request( + model, max_tokens, agents_content, patch_content, patch_name, output_format="text" +): + """Build request payload for OpenAI-compatible APIs.""" + format_instruction = FORMAT_INSTRUCTIONS.get(output_format, "") + user_prompt = USER_PROMPT.format( + patch_name=patch_name, format_instruction=format_instruction + ) + return { + "model": model, + "max_tokens": max_tokens, + "messages": [ + {"role": "system", "content": SYSTEM_PROMPT}, + {"role": "system", "content": agents_content}, + { + "role": "user", + "content": user_prompt + patch_content, + }, + ], + } + + +def build_google_request( + max_tokens, agents_content, patch_content, patch_name, output_format="text" +): + """Build request payload for Google Gemini API.""" + format_instruction = FORMAT_INSTRUCTIONS.get(output_format, "") + user_prompt = USER_PROMPT.format( + patch_name=patch_name, format_instruction=format_instruction + ) + return { + "contents": [ + {"role": "user", "parts": [{"text": SYSTEM_PROMPT}]}, + {"role": "user", "parts": [{"text": agents_content}]}, + { + "role": "user", + "parts": [{"text": user_prompt + patch_content}], + }, + ], + "generationConfig": {"maxOutputTokens": max_tokens}, + } + + +def call_api( + provider, + api_key, + model, + max_tokens, + agents_content, + patch_content, + patch_name, + output_format="text", + verbose=False, +): + """Make API request to the specified provider.""" + config = PROVIDERS[provider] + + # Build request based on provider + if provider == "anthropic": + request_data = build_anthropic_request( + model, max_tokens, agents_content, patch_content, patch_name, output_format + ) + headers = { + "Content-Type": "application/json", + "x-api-key": api_key, + "anthropic-version": "2023-06-01", + } + url = config["endpoint"] + elif provider == "google": + request_data = build_google_request( + max_tokens, agents_content, patch_content, patch_name, output_format + ) + headers = {"Content-Type": "application/json"} + url = f"{config['endpoint']}/{model}:generateContent?key={api_key}" + else: # openai, xai + request_data = build_openai_request( + model, max_tokens, agents_content, patch_content, patch_name, output_format + ) + headers = { + "Content-Type": "application/json", + "Authorization": f"Bearer {api_key}", + } + url = config["endpoint"] + + # Make request + request_body = json.dumps(request_data).encode("utf-8") + req = Request(url, data=request_body, headers=headers, method="POST") + + try: + with urlopen(req) as response: + result = json.loads(response.read().decode("utf-8")) + except HTTPError as e: + error_body = e.read().decode("utf-8") + try: + error_data = json.loads(error_body) + error(f"API error: {error_data.get('error', error_body)}") + except json.JSONDecodeError: + error(f"API error ({e.code}): {error_body}") + except URLError as e: + error(f"Connection error: {e.reason}") + + # Show verbose info + if verbose: + print("=== Token Usage ===", file=sys.stderr) + if provider == "anthropic": + usage = result.get("usage", {}) + print(f"Input tokens: {usage.get('input_tokens', 'N/A')}", file=sys.stderr) + print( + f"Cache creation: " f"{usage.get('cache_creation_input_tokens', 0)}", + file=sys.stderr, + ) + print( + f"Cache read: {usage.get('cache_read_input_tokens', 0)}", + file=sys.stderr, + ) + print( + f"Output tokens: {usage.get('output_tokens', 'N/A')}", file=sys.stderr + ) + elif provider == "google": + usage = result.get("usageMetadata", {}) + print( + f"Prompt tokens: {usage.get('promptTokenCount', 'N/A')}", + file=sys.stderr, + ) + print( + f"Output tokens: {usage.get('candidatesTokenCount', 'N/A')}", + file=sys.stderr, + ) + else: # openai, xai + usage = result.get("usage", {}) + print( + f"Prompt tokens: {usage.get('prompt_tokens', 'N/A')}", file=sys.stderr + ) + print( + f"Completion tokens: " f"{usage.get('completion_tokens', 'N/A')}", + file=sys.stderr, + ) + print("===================", file=sys.stderr) + + # Extract response text + if provider == "anthropic": + if "error" in result: + error(f"API error: {result['error'].get('message', result)}") + content = result.get("content", []) + return "".join( + block.get("text", "") for block in content if block.get("type") == "text" + ) + elif provider == "google": + if "error" in result: + error(f"API error: {result['error'].get('message', result)}") + candidates = result.get("candidates", []) + if not candidates: + error("No response from Gemini") + parts = candidates[0].get("content", {}).get("parts", []) + return "".join(part.get("text", "") for part in parts) + else: # openai, xai + if "error" in result: + error(f"API error: {result['error'].get('message', result)}") + choices = result.get("choices", []) + if not choices: + error("No response from API") + return choices[0].get("message", {}).get("content", "") + + +def get_last_message_id(patch_content): + """Extract Message-ID from the last patch in an mbox.""" + msg_ids = re.findall( + r"^Message-I[Dd]:\s*(.+)$", patch_content, re.MULTILINE | re.IGNORECASE + ) + if msg_ids: + msg_id = msg_ids[-1].strip() + # Normalize: remove < > and add them back + msg_id = msg_id.strip("<>") + return f"<{msg_id}>" + return None + + +def get_last_subject(patch_content): + """Extract subject from the last patch in an mbox.""" + # Find all Subject lines with potential continuations + subjects = [] + lines = patch_content.split("\n") + i = 0 + while i < len(lines): + if lines[i].lower().startswith("subject:"): + subject = lines[i][8:].strip() + i += 1 + # Handle continuation lines + while i < len(lines) and lines[i].startswith((" ", "\t")): + subject += lines[i].strip() + i += 1 + subjects.append(subject) + else: + i += 1 + return subjects[-1] if subjects else None + + +def send_email( + to_addrs, cc_addrs, from_addr, subject, in_reply_to, body, dry_run=False +): + """Send review email using git send-email, sendmail, or msmtp.""" + msg = EmailMessage() + msg["From"] = from_addr + msg["To"] = ", ".join(to_addrs) + if cc_addrs: + msg["Cc"] = ", ".join(cc_addrs) + msg["Subject"] = subject + if in_reply_to: + msg["In-Reply-To"] = in_reply_to + msg["References"] = in_reply_to + msg.set_content(body) + + email_text = msg.as_string() + + if dry_run: + print("=== Email Preview (dry-run) ===", file=sys.stderr) + print(email_text, file=sys.stderr) + print("=== End Preview ===", file=sys.stderr) + return True + + # Write to temp file for git send-email + with tempfile.NamedTemporaryFile(mode="w", suffix=".eml", delete=False) as f: + f.write(email_text) + temp_file = f.name + + try: + # Try git send-email first + if get_git_config("sendemail.smtpserver"): + # Build command with all arguments + flat_cmd = ["git", "send-email", "--confirm=never", "--quiet"] + for addr in to_addrs: + flat_cmd.extend(["--to", addr]) + for addr in cc_addrs: + flat_cmd.extend(["--cc", addr]) + if from_addr: + flat_cmd.extend(["--from", from_addr]) + if in_reply_to: + flat_cmd.extend(["--in-reply-to", in_reply_to]) + flat_cmd.append(temp_file) + + try: + subprocess.run(flat_cmd, check=True, capture_output=True) + print("Email sent via git send-email", file=sys.stderr) + return True + except (subprocess.CalledProcessError, FileNotFoundError): + pass + + # Try sendmail + try: + subprocess.run( + ["sendmail", "-t"], + input=email_text, + text=True, + capture_output=True, + check=True, + ) + print("Email sent via sendmail", file=sys.stderr) + return True + except (subprocess.CalledProcessError, FileNotFoundError): + pass + + # Try msmtp + try: + subprocess.run( + ["msmtp", "-t"], + input=email_text, + text=True, + capture_output=True, + check=True, + ) + print("Email sent via msmtp", file=sys.stderr) + return True + except (subprocess.CalledProcessError, FileNotFoundError): + pass + + error("Could not send email. Configure git send-email, sendmail, " "or msmtp.") + + finally: + os.unlink(temp_file) + + +def list_providers(): + """Print available providers and exit.""" + print("Available AI Providers:\n") + print(f"{'Provider':<12} {'Default Model':<30} {'API Key Variable'}") + print(f"{'--------':<12} {'-------------':<30} {'----------------'}") + for name, config in PROVIDERS.items(): + print(f"{name:<12} {config['default_model']:<30} {config['env_var']}") + sys.exit(0) + + +def main(): + parser = argparse.ArgumentParser( + description="Analyze DPDK patches using AI providers", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +Examples: + %(prog)s patch.patch # Review with default settings + %(prog)s -p openai my-patch.patch # Use OpenAI ChatGPT + %(prog)s -f markdown patch.patch # Output as Markdown + %(prog)s -f json -o review.json patch.patch # Save JSON to file + %(prog)s -f html -o review.html patch.patch # Save HTML to file + %(prog)s --send-email --to [email protected] series.mbox + %(prog)s --send-email --to [email protected] --dry-run series.mbox + """, + ) + + parser.add_argument("patch_file", nargs="?", help="Patch file to analyze") + parser.add_argument( + "-p", + "--provider", + choices=PROVIDERS.keys(), + default="anthropic", + help="AI provider (default: anthropic)", + ) + parser.add_argument( + "-a", + "--agents", + default="AGENTS.md", + help="Path to AGENTS.md file (default: AGENTS.md)", + ) + parser.add_argument( + "-m", + "--model", + help="Model to use (default: provider-specific)", + ) + parser.add_argument( + "-t", + "--tokens", + type=int, + default=4096, + help="Max tokens for response (default: 4096)", + ) + parser.add_argument( + "-v", + "--verbose", + action="store_true", + help="Show API request details", + ) + parser.add_argument( + "-f", + "--format", + choices=OUTPUT_FORMATS, + default="text", + dest="output_format", + help="Output format: text, markdown, html, json (default: text)", + ) + parser.add_argument( + "-o", + "--output", + metavar="FILE", + help="Write output to file instead of stdout", + ) + parser.add_argument( + "-l", + "--list-providers", + action="store_true", + help="List available providers and exit", + ) + + # Email options + email_group = parser.add_argument_group("Email Options") + email_group.add_argument( + "--send-email", + action="store_true", + help="Send review via email", + ) + email_group.add_argument( + "--to", + action="append", + dest="to_addrs", + default=[], + metavar="ADDRESS", + help="Email recipient (can be specified multiple times)", + ) + email_group.add_argument( + "--cc", + action="append", + dest="cc_addrs", + default=[], + metavar="ADDRESS", + help="CC recipient (can be specified multiple times)", + ) + email_group.add_argument( + "--from", + dest="from_addr", + metavar="ADDRESS", + help="From address (default: from git config)", + ) + email_group.add_argument( + "--dry-run", + action="store_true", + help="Show email without sending", + ) + + args = parser.parse_args() + + if args.list_providers: + list_providers() + + # Check patch file is provided + if not args.patch_file: + parser.error("patch_file is required") + + # Get provider config + config = PROVIDERS[args.provider] + model = args.model or config["default_model"] + + # Get API key + api_key = os.environ.get(config["env_var"]) + if not api_key: + error(f"{config['env_var']} environment variable not set") + + # Validate files + agents_path = Path(args.agents) + if not agents_path.exists(): + error(f"AGENTS.md not found: {args.agents}") + + patch_path = Path(args.patch_file) + if not patch_path.exists(): + error(f"Patch file not found: {args.patch_file}") + + # Validate email options + if args.send_email and not args.to_addrs: + error("--send-email requires at least one --to address") + + # Get from address for email + from_addr = args.from_addr + if args.send_email and not from_addr: + git_name = get_git_config("user.name") + git_email = get_git_config("user.email") + if git_email: + from_addr = f"{git_name} <{git_email}>" if git_name else git_email + else: + error("No --from specified and git user.email not configured") + + # Read files + agents_content = agents_path.read_text() + patch_content = patch_path.read_text() + patch_name = patch_path.name + + if args.verbose: + print("=== Request ===", file=sys.stderr) + print(f"Provider: {args.provider}", file=sys.stderr) + print(f"Model: {model}", file=sys.stderr) + print(f"Output format: {args.output_format}", file=sys.stderr) + print(f"AGENTS file: {args.agents}", file=sys.stderr) + print(f"Patch file: {args.patch_file}", file=sys.stderr) + if args.output: + print(f"Output file: {args.output}", file=sys.stderr) + if args.send_email: + print("Send email: yes", file=sys.stderr) + print(f"To: {', '.join(args.to_addrs)}", file=sys.stderr) + if args.cc_addrs: + print(f"Cc: {', '.join(args.cc_addrs)}", file=sys.stderr) + print(f"From: {from_addr}", file=sys.stderr) + print("===============", file=sys.stderr) + + # Call API + review_text = call_api( + args.provider, + api_key, + model, + args.tokens, + agents_content, + patch_content, + patch_name, + args.output_format, + args.verbose, + ) + + if not review_text: + error(f"No response received from {args.provider}") + + # Format output based on requested format + provider_name = config["name"] + + if args.output_format == "json": + # For JSON, try to parse and add metadata + try: + review_data = json.loads(review_text) + except json.JSONDecodeError: + # If AI didn't return valid JSON, wrap the text + review_data = {"raw_review": review_text} + + output_data = { + "metadata": { + "patch_file": patch_name, + "provider": args.provider, + "provider_name": provider_name, + "model": model, + }, + "review": review_data, + } + output_text = json.dumps(output_data, indent=2) + elif args.output_format == "html": + # Wrap HTML content with header + output_text = f"""<!-- AI-generated review of {patch_name} --> +<!-- Reviewed using {provider_name} ({model}) --> +<div class="patch-review"> +<h1>Patch Review: {patch_name}</h1> +<p class="review-meta">Reviewed by {provider_name} ({model})</p> +{review_text} +</div> +""" + elif args.output_format == "markdown": + output_text = f"""# Patch Review: {patch_name} + +*Reviewed by {provider_name} ({model})* + +{review_text} +""" + else: # text + output_text = f"=== Patch Review: {patch_name} (via {provider_name}) ===\n\n" + output_text += review_text + + # Write output + if args.output: + Path(args.output).write_text(output_text) + print(f"Review written to: {args.output}", file=sys.stderr) + else: + print(output_text) + + # Send email if requested + if args.send_email: + # Email always uses plain text - warn if different format requested + if args.output_format != "text": + print( + f"Note: Email will be sent as plain text regardless of " + f"--format={args.output_format}", + file=sys.stderr, + ) + + in_reply_to = get_last_message_id(patch_content) + orig_subject = get_last_subject(patch_content) + + if orig_subject: + # Remove [PATCH n/m] prefix + review_subject = re.sub(r"^\[PATCH[^\]]*\]\s*", "", orig_subject) + review_subject = f"[REVIEW] {review_subject}" + else: + review_subject = f"[REVIEW] {patch_name}" + + # Build email body - always use plain text version + email_body = f"""AI-generated review of {patch_name} +Reviewed using {provider_name} ({model}) + +This is an automated review. Please verify all suggestions. + +--- + +{review_text} +""" + + if args.verbose: + print("", file=sys.stderr) + print("=== Email Details ===", file=sys.stderr) + print(f"Subject: {review_subject}", file=sys.stderr) + print(f"In-Reply-To: {in_reply_to}", file=sys.stderr) + print("=====================", file=sys.stderr) + + send_email( + args.to_addrs, + args.cc_addrs, + from_addr, + review_subject, + in_reply_to, + email_body, + args.dry_run, + ) + + if not args.dry_run: + print("", file=sys.stderr) + print(f"Review sent to: {', '.join(args.to_addrs)}", file=sys.stderr) + + +if __name__ == "__main__": + main() -- 2.51.0
