Class: Omamori::CoreRunner
- Inherits:
-
Object
- Object
- Omamori::CoreRunner
- Defined in:
- lib/omamori/core_runner.rb
Constant Summary collapse
- JSON_SCHEMA =
Define the JSON Schema for Structured Output
{ "type": "object", "properties": { "security_risks": { "type": "array", "description": "検出されたセキュリティリスクのリスト。", "items": { "type": "object", "properties": { "type": { "type": "string", "description": "検出されたリスクの種類 (例: XSS, CSRF, IDORなど)。3.3の診断対象脆弱性リストのいずれかであること。" }, "location": { "type": "string", "description": "リスクが存在するコードのファイル名、行番号、またはコードスニペット。差分分析の場合は差分の該当箇所を示す形式 (例: ファイル名:+行番号) であること。" }, "details": { "type": "string", "description": "リスクの詳細な説明と、なぜそれがリスクなのかの理由。" }, "severity": { "type": "string", "description": "リスクの深刻度。", "enum": ["Critical", "High", "Medium", "Low", "Info"] }, "code_snippet": { "type": "string", "description": "該当するコードスニペット。" } }, "required": ["type", "location", "details", "severity"] } } }, "required": ["security_risks"] }.freeze
- RISKS_TO_CHECK =
TODO: Get risks to check from config file
[ :xss, :csrf, :idor, :open_redirect, :ssrf, :session_fixation # TODO: Add other risks from requirements ].freeze
- SPLIT_THRESHOLD =
TODO: Determine threshold for splitting based on token limits
7000
Instance Method Summary collapse
-
#initialize(args) ⇒ CoreRunner
constructor
Characters as a proxy for tokens.
- #run ⇒ Object
Constructor Details
#initialize(args) ⇒ CoreRunner
Characters as a proxy for tokens
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# File 'lib/omamori/core_runner.rb', line 65 def initialize(args) @args = args @options = { command: :scan, format: :console } # Default command is scan, default format is console @config = Omamori::Config.new # Initialize Config # Initialize components with config api_key = @config.get("api_key", ENV["GEMINI_API_KEY"]) # Get API key from config or environment variable gemini_model = @config.get("model", "gemini-1.5-pro-latest") # Get Gemini model from config @gemini_client = AIAnalysisEngine::GeminiClient.new(api_key) @prompt_manager = AIAnalysisEngine::PromptManager.new(@config) # Pass the entire config object # Get chunk size from config, default to 7000 characters if not specified chunk_size = @config.get("chunk_size", SPLIT_THRESHOLD) @diff_splitter = AIAnalysisEngine::DiffSplitter.new(chunk_size: chunk_size) # Pass chunk size to DiffSplitter # Get report output path and html template path from config report_config = @config.get("report", {}) report_output_path = report_config.fetch("output_path", "./omamori_report") html_template_path = report_config.fetch("html_template", nil) # Default to nil, formatter will use default template @console_formatter = ReportGenerator::ConsoleFormatter.new # TODO: Pass config for colors/options @html_formatter = ReportGenerator::HTMLFormatter.new(report_output_path, html_template_path) # Pass output path and template path @json_formatter = ReportGenerator::JSONFormatter.new(report_output_path) # Pass output path # Get static analyser options from config static_analyser_config = @config.get("static_analysers", {}) = static_analyser_config.fetch("brakeman", {}).fetch("options", {}) # Default to empty hash = static_analyser_config.fetch("bundler_audit", {}).fetch("options", {}) # Default to empty hash @brakeman_runner = StaticAnalysers::BrakemanRunner.new() # Pass options @bundler_audit_runner = StaticAnalysers::BundlerAuditRunner.new() # Pass options end |
Instance Method Details
#run ⇒ Object
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# File 'lib/omamori/core_runner.rb', line 93 def run case @options[:command] when :scan # Run static analysers first unless --ai option is specified brakeman_result = nil bundler_audit_result = nil unless @options[:only_ai] brakeman_result = @brakeman_runner.run bundler_audit_result = @bundler_audit_runner.run end # Perform AI analysis analysis_result = nil case @options[:scan_mode] when :diff diff_content = get_staged_diff if diff_content.empty? puts "No staged changes to scan." return end puts "Scanning staged differences with AI..." if diff_content.length > SPLIT_THRESHOLD # TODO: Use token count puts "Diff content exceeds threshold, splitting..." analysis_result = @diff_splitter.process_in_chunks(diff_content, @gemini_client, JSON_SCHEMA, @prompt_manager, get_risks_to_check, model: @config.get("model", "gemini-1.5-pro-latest")) else prompt = @prompt_manager.build_prompt(diff_content, get_risks_to_check, JSON_SCHEMA) analysis_result = @gemini_client.analyze(prompt, JSON_SCHEMA, model: @config.get("model", "gemini-1.5-pro-latest")) end when :all full_code_content = get_full_codebase if full_code_content.strip.empty? puts "No code found to scan." return end puts "Scanning entire codebase with AI..." if full_code_content.length > SPLIT_THRESHOLD # TODO: Use token count puts "Full code content exceeds threshold, splitting..." analysis_result = @diff_splitter.process_in_chunks(full_code_content, @gemini_client, JSON_SCHEMA, @prompt_manager, get_risks_to_check, model: @config.get("model", "gemini-1.5-pro-latest")) else prompt = @prompt_manager.build_prompt(full_code_content, get_risks_to_check, JSON_SCHEMA) analysis_result = @gemini_client.analyze(prompt, JSON_SCHEMA, model: @config.get("model", "gemini-1.5-pro-latest")) end end # Combine results and display report combined_results = combine_results(analysis_result, brakeman_result, bundler_audit_result) display_report(combined_results) puts "Scan complete." when :ci_setup generate_ci_setup(@options[:ci_service]) when :init generate_config_file # Generate initial config file else puts "Unknown command: #{@options[:command]}" puts @opt_parser # Display help for unknown command end end |