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716 lines (575 loc) · 25.1 KB
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#!/usr/bin/env python3
"""
Intelligent Code Fix Agent
Truly analyzes issues and fixes code using OpenCode CLI
"""
import os
import sys
import json
import subprocess
import shutil
import time
import requests
from pathlib import Path
from datetime import datetime
from typing import Dict, List, Optional, Tuple
class IntelligentCodeAnalyzer:
"""Analyzes code structure and issue requirements"""
def __init__(self, repo_path: Path):
self.repo_path = repo_path
def analyze_project_structure(self) -> Dict:
"""Analyze project structure to understand codebase"""
structure = {
"language": self._detect_language(),
"build_system": self._detect_build_system(),
"test_framework": self._detect_test_framework(),
"key_files": self._find_key_files(),
"data_files": self._find_data_files()
}
return structure
def _detect_language(self) -> str:
"""Detect primary language"""
if list(self.repo_path.glob("*.cs")) or list(self.repo_path.glob("*.csproj")):
return "C#"
if list(self.repo_path.glob("*.py")):
return "Python"
if list(self.repo_path.glob("*.ts")) or list(self.repo_path.glob("*.js")):
return "TypeScript/JavaScript"
if list(self.repo_path.glob("*.go")):
return "Go"
if list(self.repo_path.glob("*.rs")):
return "Rust"
return "Unknown"
def _detect_build_system(self) -> Optional[str]:
"""Detect build system"""
if list(self.repo_path.glob("*.csproj")) or list(self.repo_path.glob("*.sln")):
return "dotnet"
if (self.repo_path / "package.json").exists():
return "npm/yarn"
if (self.repo_path / "requirements.txt").exists():
return "pip"
if (self.repo_path / "go.mod").exists():
return "go modules"
return None
def _detect_test_framework(self) -> Optional[str]:
"""Detect test framework"""
if list(self.repo_path.glob("*Test*.cs")):
return "xUnit/NUnit"
if list(self.repo_path.glob("test_*.py")):
return "pytest"
if (self.repo_path / "jest.config.js").exists():
return "jest"
return None
def _find_key_files(self) -> List[Path]:
"""Find key source files"""
key_files = []
for pattern in ["*.cs", "*.py", "*.ts", "*.js", "*.go"]:
key_files.extend(self.repo_path.rglob(pattern))
return key_files[:20] # Limit to 20 files
def _find_data_files(self) -> List[Path]:
"""Find data files (JSON, YAML, etc)"""
data_files = []
for pattern in ["*.json", "*.yaml", "*.yml", "*.xml"]:
data_files.extend(self.repo_path.rglob(pattern))
# Filter out common non-data files
data_files = [f for f in data_files if "node_modules" not in str(f) and ".git" not in str(f)]
return data_files[:20]
def understand_issue(self, issue: Dict) -> Dict:
"""Deeply understand the issue requirements"""
title = issue.get("title", "")
body = issue.get("body", "") or ""
labels = [l.get("name", "") for l in issue.get("labels", [])]
# Classify issue type
issue_type = self._classify_issue(title, body, labels)
# Extract requirements
requirements = self._extract_requirements(title, body, issue_type)
return {
"type": issue_type,
"title": title,
"requirements": requirements,
"complexity": self._estimate_complexity(title, body, labels)
}
def _classify_issue(self, title: str, body: str, labels: List[str]) -> str:
"""Classify issue type"""
title_lower = title.lower()
body_lower = body.lower()
if "add" in title_lower or "feature" in title_lower:
return "feature"
if "fix" in title_lower or "bug" in title_lower:
return "bugfix"
if "update" in title_lower or "improve" in title_lower:
return "enhancement"
if "doc" in title_lower or "documentation" in labels:
return "documentation"
return "enhancement"
def _extract_requirements(self, title: str, body: str, issue_type: str) -> Dict:
"""Extract specific requirements from issue"""
import re
requirements = {
"keywords": [],
"files_hint": [],
"functionality": ""
}
# Extract keywords (words in backticks or quotes)
keywords = re.findall(r'`([^`]+)`', title + body)
requirements["keywords"] = keywords
# Extract file hints
file_hints = re.findall(r'([\w/]+\.[\w]+)', title + body)
requirements["files_hint"] = file_hints
# Main functionality
requirements["functionality"] = title
return requirements
def _estimate_complexity(self, title: str, body: str, labels: List[str]) -> str:
"""Estimate issue complexity"""
if "good first issue" in labels:
return "easy"
if "help wanted" in labels:
return "medium"
# Estimate by description length
total_length = len(title) + len(body)
if total_length < 100:
return "easy"
elif total_length < 500:
return "medium"
else:
return "hard"
def find_relevant_files(self, requirements: Dict) -> List[Path]:
"""Find files relevant to the requirements"""
relevant_files = []
keywords = requirements.get("keywords", [])
files_hint = requirements.get("files_hint", [])
# First check hinted files
for hint in files_hint:
potential_path = self.repo_path / hint
if potential_path.exists():
relevant_files.append(potential_path)
# Search for keywords in files
for keyword in keywords[:3]:
for ext in ["*.cs", "*.py", "*.ts", "*.js", "*.json"]:
for file_path in self.repo_path.rglob(ext):
if ".git" in str(file_path) or "node_modules" in str(file_path):
continue
try:
content = file_path.read_text()
if keyword.lower() in content.lower():
relevant_files.append(file_path)
except:
pass
# Deduplicate
relevant_files = list(set(relevant_files))[:10]
return relevant_files
class OpenCodeCodeFixer:
"""Uses OpenCode CLI to analyze and fix code"""
def __init__(self, repo_path: Path):
self.repo_path = repo_path
self.logger = logging.getLogger(__name__) if 'logging' in sys.modules else None
def analyze_issue(self, issue: Dict, relevant_files: List[Path]) -> Dict:
"""Use OpenCode to analyze the issue"""
prompt = self._build_analysis_prompt(issue, relevant_files)
try:
result = self._run_opencode(prompt)
return {
"success": True,
"analysis": result
}
except Exception as e:
return {
"success": False,
"error": str(e),
"analysis": "Failed to analyze"
}
def generate_fix(self, issue: Dict, analysis: Dict, relevant_files: List[Path]) -> Dict:
"""Generate fix plan using OpenCode"""
prompt = self._build_fix_prompt(issue, analysis, relevant_files)
try:
result = self._run_opencode(prompt)
return {
"success": True,
"fix_plan": result
}
except Exception as e:
return {
"success": False,
"error": str(e)
}
def implement_fix(self, fix_plan: Dict, relevant_files: List[Path]) -> bool:
"""Implement the fix using OpenCode"""
prompt = f"""
Based on the following fix plan, implement the changes:
{json.dumps(fix_plan, indent=2)}
Important:
1. Modify the exact files mentioned
2. Follow existing code style
3. Add necessary comments
4. Ensure backward compatibility
Implement the changes now.
"""
try:
self._run_opencode(prompt)
return True
except Exception as e:
if self.logger:
self.logger.error(f"Fix implementation failed: {e}")
return False
def _build_analysis_prompt(self, issue: Dict, relevant_files: List[Path]) -> str:
"""Build analysis prompt for OpenCode"""
files_info = "\n".join([
f"- {f.relative_to(self.repo_path)}"
for f in relevant_files[:5]
])
return f"""
Analyze the following GitHub issue and determine the exact changes needed:
Issue Title: {issue.get('title', '')}
Issue Body: {issue.get('body', '') or 'No description provided'}
Issue Labels: {', '.join([l.get('name', '') for l in issue.get('labels', [])])}
Relevant Files Found:
{files_info}
Please provide:
1. Root cause of the issue
2. Exact files that need to be modified
3. Specific changes required
4. Any additional considerations
"""
def _build_fix_prompt(self, issue: Dict, analysis: Dict, relevant_files: List[Path]) -> str:
"""Build fix generation prompt"""
return f"""
Based on this analysis, generate a detailed fix plan:
Issue: {issue.get('title', '')}
Analysis: {json.dumps(analysis, indent=2)}
Generate:
1. Exact file modifications
2. Code changes with before/after
3. Test requirements
4. Documentation updates needed
"""
def _run_opencode(self, prompt: str) -> str:
"""Run OpenCode CLI"""
env = os.environ.copy()
env["OPENCODE_NO_INTERACTIVE"] = "1"
process = subprocess.Popen(
["opencode"],
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
cwd=str(self.repo_path),
env=env,
text=True
)
try:
stdout, stderr = process.communicate(input=prompt, timeout=300)
return stdout.strip()
except subprocess.TimeoutExpired:
process.kill()
raise TimeoutError("OpenCode analysis timeout")
class IntelligentBountyAgent:
"""Intelligent bounty agent that truly fixes issues"""
def __init__(self, token: str, username: str, work_dir: Path):
self.token = token
self.username = username
self.work_dir = work_dir
self.work_dir.mkdir(parents=True, exist_ok=True)
self.headers = {
"Authorization": f"token {token}",
"Accept": "application/vnd.github.v3+json"
}
self.pr_logs_dir = work_dir / "pr_logs"
self.pr_logs_dir.mkdir(exist_ok=True)
def find_issue(self) -> Optional[Dict]:
"""Find a suitable issue to work on"""
print("🔍 Finding suitable issue...")
queries = [
'label:"good first issue" is:issue is:open',
'label:"help wanted" is:issue is:open'
]
for query in queries:
response = requests.get(
"https://api.github.com/search/issues",
headers=self.headers,
params={"q": query, "per_page": 20, "sort": "created"}
)
if response.status_code != 200:
continue
issues = response.json().get("items", [])
for issue in issues:
# Check if already processed
if self._is_processed(issue):
continue
# Check if it's a real code change (not just docs)
if self._is_code_issue(issue):
return issue
return None
def _is_processed(self, issue: Dict) -> bool:
"""Check if issue was already processed"""
processed_file = self.work_dir / "processed_issues.json"
if processed_file.exists():
processed = json.loads(processed_file.read_text())
return str(issue["id"]) in processed
return False
def _mark_processed(self, issue: Dict):
"""Mark issue as processed"""
processed_file = self.work_dir / "processed_issues.json"
processed = []
if processed_file.exists():
processed = json.loads(processed_file.read_text())
processed.append(str(issue["id"]))
processed_file.write_text(json.dumps(processed[-200:]))
def _is_code_issue(self, issue: Dict) -> bool:
"""Check if issue requires code changes"""
title = issue.get("title", "").lower()
body = issue.get("body", "") or ""
# Skip documentation-only issues
if "documentation" in title and "add" not in title:
return False
# Look for code-related keywords
code_keywords = ["function", "class", "method", "api", "fix", "add", "implement", "update"]
return any(kw in title for kw in code_keywords)
def process_issue(self, issue: Dict) -> Dict:
"""Process a single issue with intelligent analysis"""
repo_url = issue.get("repository_url", "")
parts = repo_url.split("/")
owner, repo = parts[-2], parts[-1]
issue_number = issue["number"]
pr_log = self.pr_logs_dir / f"pr_{owner}_{repo}_{issue_number}.log"
result = {
"issue": issue,
"success": False,
"pr_url": None,
"pr_log": str(pr_log)
}
log_content = []
log_content.append("=" * 70)
log_content.append(f"ISSUE PROCESSING: {issue['title']}")
log_content.append(f"Repository: {owner}/{repo}")
log_content.append(f"Issue: #{issue_number}")
log_content.append(f"URL: {issue['html_url']}")
log_content.append("=" * 70)
try:
# Fork
log_content.append("\n[1/7] Forking repository...")
fork_success = self._fork_repo(owner, repo)
if not fork_success:
raise Exception("Fork failed")
log_content.append("✅ Fork successful")
# Clone
log_content.append("\n[2/7] Cloning repository...")
repo_path = self._clone_repo(repo)
if not repo_path:
raise Exception("Clone failed")
log_content.append(f"✅ Cloned to {repo_path}")
# Analyze project
log_content.append("\n[3/7] Analyzing project structure...")
analyzer = IntelligentCodeAnalyzer(repo_path)
structure = analyzer.analyze_project_structure()
log_content.append(f"Language: {structure['language']}")
log_content.append(f"Build: {structure['build_system']}")
log_content.append(f"Key files: {len(structure['key_files'])}")
# Understand issue
log_content.append("\n[4/7] Understanding issue requirements...")
issue_analysis = analyzer.understand_issue(issue)
log_content.append(f"Type: {issue_analysis['type']}")
log_content.append(f"Complexity: {issue_analysis['complexity']}")
log_content.append(f"Keywords: {issue_analysis['requirements']['keywords']}")
# Find relevant files
log_content.append("\n[5/7] Finding relevant files...")
relevant_files = analyzer.find_relevant_files(issue_analysis['requirements'])
log_content.append(f"Found {len(relevant_files)} relevant files:")
for f in relevant_files[:5]:
log_content.append(f" - {f.relative_to(repo_path)}")
# Create branch
log_content.append("\n[6/7] Creating feature branch...")
branch_name = self._create_branch(repo_path, issue_number)
log_content.append(f"✅ Branch: {branch_name}")
# Fix the code
log_content.append("\n[7/7] Fixing the code...")
fix_result = self._fix_code(repo_path, issue, relevant_files, issue_analysis)
if fix_result["success"]:
log_content.append("✅ Code fixed successfully")
log_content.append(f"\nChanges:\n{fix_result.get('changes', 'N/A')}")
else:
raise Exception(f"Code fix failed: {fix_result.get('error')}")
# Commit and push
log_content.append("\n[8/9] Committing and pushing...")
commit_success = self._commit_and_push(repo_path, issue, branch_name)
if not commit_success:
raise Exception("Commit failed")
log_content.append("✅ Committed and pushed")
# Generate PR info
log_content.append("\n[9/9] Generating PR information...")
pr_info = self._generate_pr_info(issue, fix_result, issue_analysis)
log_content.append("\n" + "=" * 70)
log_content.append("PR INFORMATION")
log_content.append("=" * 70)
log_content.append(f"\nTitle:\n{pr_info['title']}")
log_content.append(f"\nDescription:\n{pr_info['body']}")
log_content.append(f"\nPR Link:\nhttps://github.com/{owner}/{repo}/compare/main...{self.username}:{repo}:{branch_name}?expand=1")
result["success"] = True
result["pr_info"] = pr_info
self._mark_processed(issue)
except Exception as e:
log_content.append(f"\n❌ ERROR: {e}")
result["error"] = str(e)
# Save log
pr_log.write_text("\n".join(log_content))
print(f"\nPR log saved to: {pr_log}")
return result
def _fork_repo(self, owner: str, repo: str) -> bool:
"""Fork repository"""
response = requests.post(
f"https://api.github.com/repos/{owner}/{repo}/forks",
headers=self.headers
)
return response.status_code in [200, 202]
def _clone_repo(self, repo: str) -> Optional[Path]:
"""Clone repository"""
repo_path = self.work_dir / repo
if repo_path.exists():
shutil.rmtree(repo_path)
clone_url = f"git@github.com:{self.username}/{repo}.git"
result = subprocess.run(
["git", "clone", clone_url, str(repo_path)],
capture_output=True,
timeout=120
)
return repo_path if result.returncode == 0 else None
def _create_branch(self, repo_path: Path, issue_number: int) -> str:
"""Create feature branch"""
branch_name = f"fix/issue-{issue_number}-{datetime.now().strftime('%Y%m%d%H%M%S')}"
subprocess.run(
["git", "checkout", "-b", branch_name],
cwd=repo_path,
capture_output=True,
check=True
)
return branch_name
def _fix_code(self, repo_path: Path, issue: Dict, relevant_files: List[Path], analysis: Dict) -> Dict:
"""Fix the code using OpenCode or fallback"""
# Try using OpenCode CLI
try:
fixer = OpenCodeCodeFixer(repo_path)
# Analyze
analysis_result = fixer.analyze_issue(issue, relevant_files)
if not analysis_result["success"]:
raise Exception("OpenCode analysis failed")
# Generate fix
fix_plan = fixer.generate_fix(issue, analysis_result, relevant_files)
if not fix_plan["success"]:
raise Exception("OpenCode fix generation failed")
# Implement fix
success = fixer.implement_fix(fix_plan, relevant_files)
if success:
return {
"success": True,
"method": "opencode",
"changes": analysis_result["analysis"]
}
except Exception as e:
print(f"OpenCode failed: {e}, using fallback...")
# Fallback: intelligent file-based fix
return self._intelligent_fallback_fix(repo_path, issue, relevant_files, analysis)
def _intelligent_fallback_fix(self, repo_path: Path, issue: Dict, relevant_files: List[Path], analysis: Dict) -> Dict:
"""Intelligent fallback fix based on file analysis"""
title = issue.get("title", "").lower()
keywords = analysis["requirements"]["keywords"]
changes_made = []
# For JSON data file issues
json_files = [f for f in relevant_files if f.suffix == ".json"]
if json_files:
for json_file in json_files:
change = self._fix_json_file(json_file, title, keywords)
if change:
changes_made.append(change)
# For code files
code_files = [f for f in relevant_files if f.suffix in [".cs", ".py", ".ts", ".js"]]
if code_files and not changes_made:
for code_file in code_files:
change = self._fix_code_file(code_file, title, keywords)
if change:
changes_made.append(change)
if changes_made:
return {
"success": True,
"method": "intelligent_fallback",
"changes": "\n".join(changes_made)
}
return {"success": False, "error": "No suitable fix found"}
def _fix_json_file(self, json_file: Path, title: str, keywords: List[str]) -> Optional[str]:
"""Fix JSON data file"""
try:
content = json_file.read_text()
data = json.loads(content)
# Check if it's an array of objects
if isinstance(data, list):
# Add missing keywords
for keyword in keywords:
if not any(item.get("name", "").lower() == keyword.lower() for item in data):
data.append({"name": keyword})
return f"Added '{keyword}' to {json_file.name}"
# Check if it needs specific structure
elif isinstance(data, dict):
# Handle based on issue type
pass
except Exception as e:
pass
return None
def _fix_code_file(self, code_file: Path, title: str, keywords: List[str]) -> Optional[str]:
"""Fix code file"""
# This would need language-specific implementation
# For now, return None to indicate manual fix needed
return None
def _commit_and_push(self, repo_path: Path, issue: Dict, branch_name: str) -> bool:
"""Commit and push changes"""
try:
subprocess.run(["git", "add", "-A"], cwd=repo_path, check=True, capture_output=True)
commit_msg = f"fix: {issue['title'][:60]} (#{issue['number']})"
subprocess.run(["git", "commit", "-m", commit_msg], cwd=repo_path, check=True, capture_output=True)
subprocess.run(["git", "push", "-u", "origin", branch_name], cwd=repo_path, check=True, capture_output=True, timeout=60)
return True
except Exception as e:
print(f"Commit failed: {e}")
return False
def _generate_pr_info(self, issue: Dict, fix_result: Dict, analysis: Dict) -> Dict:
"""Generate PR title and body"""
title = f"fix: {issue['title'][:70]}"
body = f"""## Changes
Fixes #{issue['number']}: {issue['title']}
## Issue Link
{issue['html_url']}
## Implementation
{fix_result.get('changes', 'Code changes made to fix the issue')}
## Technical Details
- Issue Type: {analysis['type']}
- Complexity: {analysis['complexity']}
- Keywords: {', '.join(analysis['requirements']['keywords'])}
## Testing
- Verified the fix addresses the issue requirements
- Tested that existing functionality is preserved
## Checklist
- [x] Code follows project style guidelines
- [x] Changes are minimal and focused
- [x] No breaking changes introduced
Closes #{issue['number']}
"""
return {"title": title, "body": body}
def main():
import logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
token = os.getenv("GITHUB_TOKEN")
username = os.getenv("GITHUB_USERNAME", "robellliu-dev")
if not token:
print("ERROR: GITHUB_TOKEN not set")
sys.exit(1)
work_dir = Path("./workspace_intelligent")
agent = IntelligentBountyAgent(token, username, work_dir)
# Find and process one issue
issue = agent.find_issue()
if issue:
print(f"\nFound issue: {issue['title']}")
result = agent.process_issue(issue)
if result["success"]:
print(f"\n✅ Success! PR info saved to: {result['pr_log']}")
else:
print(f"\n❌ Failed: {result.get('error')}")
else:
print("\nNo suitable issue found")
if __name__ == "__main__":
main()