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"""
RepoForge Intelligence Engine V3
Combines repository understanding systems.
"""
from typing import Dict, Any
from repoforge.intelligence.quality_score import QualityScore
from repoforge.intelligence.repository_map import RepositoryMap
from repoforge.intelligence.dependency_graph import DependencyGraph
from repoforge.intelligence.recommendations import RecommendationEngine
from repoforge.intelligence.score_engine import ScoreEngine
class IntelligenceEngine:
"""
Complete repository intelligence layer.
"""
def __init__(
self,
repo_path: str,
):
self.repo_path = repo_path
self.quality = QualityScore()
self.score_engine = ScoreEngine()
self.repository_map = RepositoryMap(
repo_path
)
self.dependencies = DependencyGraph(
repo_path
)
self.recommendations = RecommendationEngine()
def analyze(
self,
scan: Dict[str, Any] | None = None,
) -> Dict[str, Any]:
scan = scan or {}
quality_result = self.quality.calculate(
scan
)
score_result = self.score_engine.calculate(
scan
)
final_score = score_result.get(
"score",
quality_result.get(
"score",
0
)
)
final_grade = score_result.get(
"grade",
quality_result.get(
"grade",
"N/A"
)
)
intelligence = {
"repository":
self.repo_path,
"quality_score": {
"score": final_score,
"grade": final_grade,
"quality_details": quality_result.get("details", {}),
"breakdown": score_result.get("breakdown", {}),
"signals": score_result.get("signals", {}),
},
"architecture":
self.repository_map.build(),
"dependencies":
self.dependencies.build(),
"status":
"ready"
}
intelligence["recommendations"] = (
self.recommendations.generate(
intelligence
)
)
return intelligence