import os
import yaml
import json
from pathlib import Path
from typing import List, Dict, Any

class WorkflowAnalyzer:
    def analyze_project(self, project_path: str) -> Dict[str, Any]:
        """
        Analyze project to identify automation opportunities
        """
        analysis = {
            'current_workflows': self._find_existing_workflows(project_path),
            'manual_processes': self._identify_manual_processes(project_path),
            'automation_opportunities': [],
            'tool_recommendations': [],
            'complexity_score': 0
        }

        # Analyze different aspects
        analysis['build_process'] = self._analyze_build_process(project_path)
        analysis['test_process'] = self._analyze_test_process(project_path)
        analysis['deployment_process'] = self._analyze_deployment_process(project_path)
        analysis['code_quality'] = self._analyze_code_quality_checks(project_path)

        # Generate recommendations
        self._generate_recommendations(analysis)

        return analysis

    def _find_existing_workflows(self, project_path: str) -> List[Dict]:
        """Find existing CI/CD workflows"""
        workflows = []

        # GitHub Actions
        gh_workflow_path = Path(project_path) / '.github' / 'workflows'
        if gh_workflow_path.exists():
            for workflow_file in gh_workflow_path.glob('*.y*ml'):
                with open(workflow_file) as f:
                    workflow = yaml.safe_load(f)
                    workflows.append({
                        'type': 'github_actions',
                        'name': workflow.get('name', workflow_file.stem),
                        'file': str(workflow_file),
                        'triggers': list(workflow.get('on', {}).keys())
                    })

        # GitLab CI
        gitlab_ci = Path(project_path) / '.gitlab-ci.yml'
        if gitlab_ci.exists():
            with open(gitlab_ci) as f:
                config = yaml.safe_load(f)
                workflows.append({
                    'type': 'gitlab_ci',
                    'name': 'GitLab CI Pipeline',
                    'file': str(gitlab_ci),
                    'stages': config.get('stages', [])
                })

        # Jenkins
        jenkinsfile = Path(project_path) / 'Jenkinsfile'
        if jenkinsfile.exists():
            workflows.append({
                'type': 'jenkins',
                'name': 'Jenkins Pipeline',
                'file': str(jenkinsfile)
            })

        return workflows

    def _identify_manual_processes(self, project_path: str) -> List[Dict]:
        """Identify processes that could be automated"""
        manual_processes = []

        # Check for manual build scripts
        script_patterns = ['build.sh', 'deploy.sh', 'release.sh', 'test.sh']
        for pattern in script_patterns:
            scripts = Path(project_path).glob(f'**/{pattern}')
            for script in scripts:
                manual_processes.append({
                    'type': 'script',
                    'file': str(script),
                    'purpose': pattern.replace('.sh', ''),
                    'automation_potential': 'high'
                })

        # Check README for manual steps
        readme_files = ['README.md', 'README.rst', 'README.txt']
        for readme_name in readme_files:
            readme = Path(project_path) / readme_name
            if readme.exists():
                content = readme.read_text()
                if any(keyword in content.lower() for keyword in ['manually', 'by hand', 'steps to']):
                    manual_processes.append({
                        'type': 'documented_process',
                        'file': str(readme),
                        'indicators': 'Contains manual process documentation'
                    })

        return manual_processes

    def _generate_recommendations(self, analysis: Dict) -> None:
        """Generate automation recommendations"""
        recommendations = []

        # CI/CD recommendations
        if not analysis['current_workflows']:
            recommendations.append({
                'priority': 'high',
                'category': 'ci_cd',
                'recommendation':