ida7jhu/csit998_group10

n1-optimizer reads Python source without executing it, identifies inefficient database-use patterns, and suggests faster code. The user supplies a file or stdin through the CLI; the pipeline builds structured facts, optionally logs them, and requests AI suggestions when Ollama is available. The analyzer also creates deterministic SQL rewrites for patterns it recognizes, which take precedence over overlapping model findings. The tool never connects to a database. Edges follow README statements and shown imports/calls; unsampled implementation details are not inferred.