diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml new file mode 100644 index 0000000..069f840 --- /dev/null +++ b/.github/workflows/tests.yml @@ -0,0 +1,18 @@ +name: Tests + +on: + push: + branches: [v0.2, main] + pull_request: + branches: [v0.2, main] + +jobs: + test: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: "3.11" + - run: pip install -e ".[dev]" + - run: pytest tests/ -v --tb=short diff --git a/LICENSE b/LICENSE index 95364c0..46f4c4e 100644 --- a/LICENSE +++ b/LICENSE @@ -4,7 +4,7 @@ http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION -Copyright 2025 OWASP Foundation - AI SBOM Generator and contributors +Copyright 2026 OWASP Foundation - AI SBOM Generator and contributors Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. diff --git a/README.md b/README.md index f0cf12e..51515a3 100644 --- a/README.md +++ b/README.md @@ -40,6 +40,11 @@ The tool is also listed in the official **[CycloneDX Tool Center](https://cyclon pip install -r requirements.txt ``` +Or, if you prefer [uv](https://docs.astral.sh/uv/) for faster dependency management: +```bash +uv sync +``` + ### 2. Run Web Application Start the local server at `http://localhost:8000`: ```bash diff --git a/pyproject.toml b/pyproject.toml index ff698df..468a424 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,6 +20,9 @@ dependencies = [ "beautifulsoup4>=4.11.0", "datasets>=2.0.0", "fastapi>=0.104.0", + "flask>=2.3.0", + "gunicorn>=21.2.0", + "httpx>=0.25.0", "huggingface_hub>=0.19.0", "jinja2>=3.0.0", "jsonschema>=4.17.0", @@ -40,7 +43,8 @@ dev = [ "pytest>=7.0.0", "pytest-cov>=4.0.0", "pytest-mock>=3.10.0", - "ruff" + "ruff", + "gguf>=0.6.0" ] [project.scripts] @@ -64,3 +68,8 @@ testpaths = [ pythonpath = [ "." ] + +[dependency-groups] +dev = [ + "gguf>=0.6.0", +] diff --git a/requirements.txt b/requirements.txt index 3949017..1db1c00 100644 --- a/requirements.txt +++ b/requirements.txt @@ -24,3 +24,4 @@ sentencepiece>=0.1.99 pytest>=7.0.0 pytest-mock>=3.10.0 pytest-cov>=4.0.0 +gguf>=0.6.0 diff --git a/src/cli.py b/src/cli.py index 0814461..3cca4f3 100644 --- a/src/cli.py +++ b/src/cli.py @@ -22,6 +22,9 @@ def main(): test_models = [ "Qwen/Qwen3.5-397B-A17B", "nvidia/personaplex-7b-v1", + "meta-llama/Llama-2-7b-chat-hf", + "unsloth/Qwen3.5-35B-A3B-GGUF", + "LocoreMind/LocoOperator-4B", "Nanbeige/Nanbeige4.1-3B", "zai-org/GLM-5", "MiniMaxAI/MiniMax-M2.5", diff --git a/src/controllers/cli_controller.py b/src/controllers/cli_controller.py index ea2ef19..c689dbe 100644 --- a/src/controllers/cli_controller.py +++ b/src/controllers/cli_controller.py @@ -5,6 +5,7 @@ from ..models.scoring import calculate_completeness_score from ..models.scoring import calculate_completeness_score from ..config import OUTPUT_DIR, TEMPLATES_DIR +from ..utils.formatter import export_aibom import os import shutil @@ -32,72 +33,67 @@ def generate(self, model_id: str, output_file: Optional[str] = None, include_inf reports = [] generated_aiboms = {} - for spec_version in versions_to_generate: - print(f" - Generating CycloneDX {spec_version}...") - try: - aibom = self.service.generate_aibom( - model_id, - include_inference=include_inference, - enable_summarization=enable_summarization, - spec_version=spec_version, - metadata_overrides={ - "name": name, - "version": version, - "manufacturer": manufacturer - } - ) - report = self.service.get_enhancement_report() - - # Determine output filename - current_output_file = output_file - if not current_output_file: - normalized_id = self.service._normalise_model_id(model_id) - import os - os.makedirs("sboms", exist_ok=True) - suffix = f"_{spec_version.replace('.', '_')}" - current_output_file = os.path.join("sboms", f"{normalized_id.replace('/', '_')}_ai_sbom{suffix}.json") - elif spec_version != "1.6": - import os - base, ext = os.path.splitext(current_output_file) - current_output_file = f"{base}_{spec_version.replace('.', '_')}{ext}" - - with open(current_output_file, 'w') as f: - json.dump(aibom, f, indent=2) - - # Check for validation results in report (populated by scoring mechanism) - validation_data = report.get("final_score", {}).get("validation", {}) - is_valid = validation_data.get("valid", True) # Default to true if not found to avoid noise? Or False? - # Actually, scoring.py populates this. - validation_errors = [i["message"] for i in validation_data.get("issues", [])] - - # Ensure schema_validation key exists for our report structure - if "schema_validation" not in report: - report["schema_validation"] = {} - report["schema_validation"]["valid"] = is_valid - report["schema_validation"]["errors"] = validation_errors - report["schema_validation"]["error_count"] = len(validation_errors) - report["output_file"] = current_output_file - report["spec_version"] = spec_version - reports.append(report) - generated_aiboms[spec_version] = aibom - - except Exception as e: - logger.error(f"Failed to generate {spec_version} SBOM: {e}") - print(f" ❌ Failed to generate {spec_version}: {e}") - - # Summary and HTML Report (using 1.6 as primary) - if reports: - # Find primary report (1.6) - primary_report = next((r for r in reports if r.get("spec_version") == "1.6"), reports[0]) - primary_aibom = generated_aiboms.get(primary_report["spec_version"]) - output_file_primary = primary_report.get("output_file") + print(f" - Generating AIBOM model data...") + try: + primary_aibom = self.service.generate_aibom( + model_id, + include_inference=include_inference, + enable_summarization=enable_summarization, + metadata_overrides={ + "name": name, + "version": version, + "manufacturer": manufacturer + } + ) + primary_report = self.service.get_enhancement_report() + + # Formatted AIBOM Strings + json_1_6 = export_aibom(primary_aibom, bom_type="cyclonedx", spec_version="1.6") + json_1_7 = export_aibom(primary_aibom, bom_type="cyclonedx", spec_version="1.7") + + # Determine output filenames + normalized_id = self.service._normalise_model_id(model_id) + os.makedirs("sboms", exist_ok=True) - # Generate HTML for primary only + output_file_1_6 = output_file + if not output_file_1_6: + output_file_1_6 = os.path.join("sboms", f"{normalized_id.replace('/', '_')}_ai_sbom_1_6.json") + + base, ext = os.path.splitext(output_file_1_6) + output_file_1_7 = f"{base.replace('_1_6', '')}_1_7{ext}" if '_1_6' in base else f"{base}_1_7{ext}" + + with open(output_file_1_6, 'w') as f: + f.write(json_1_6) + with open(output_file_1_7, 'w') as f: + f.write(json_1_7) + + # Check for validation results + validation_data = primary_report.get("final_score", {}).get("validation", {}) + is_valid = validation_data.get("valid", True) + validation_errors = [i["message"] for i in validation_data.get("issues", [])] + + if "schema_validation" not in primary_report: + primary_report["schema_validation"] = {} + primary_report["schema_validation"]["valid"] = is_valid + primary_report["schema_validation"]["errors"] = validation_errors + primary_report["schema_validation"]["error_count"] = len(validation_errors) + + reports = [ + {"spec_version": "1.6", "output_file": output_file_1_6, "schema_validation": primary_report["schema_validation"]}, + {"spec_version": "1.7", "output_file": output_file_1_7, "schema_validation": primary_report["schema_validation"]} + ] + output_file_primary = output_file_1_6 + + except Exception as e: + logger.error(f"Failed to generate SBOM: {e}", exc_info=True) + print(f" ❌ Failed to generate SBOM: {e}") + reports = [] + + if reports: if output_file_primary: try: from jinja2 import Environment, FileSystemLoader, select_autoescape from ..config import TEMPLATES_DIR - import os env = Environment( loader=FileSystemLoader(TEMPLATES_DIR), @@ -111,7 +107,6 @@ def generate(self, model_id: str, output_file: Optional[str] = None, include_inf # Pre-serialize to preserve order components_json = json.dumps(primary_aibom.get("components", []), indent=2) - aibom_json = json.dumps(primary_aibom, indent=2) context = { "request": None, @@ -119,7 +114,8 @@ def generate(self, model_id: str, output_file: Optional[str] = None, include_inf "download_url": "#", "aibom": primary_aibom, "components_json": components_json, - "aibom_json": aibom_json, + "aibom_cdx_json_1_6": json_1_6, + "aibom_cdx_json_1_7": json_1_7, "raw_aibom": primary_aibom, "model_id": self.service._normalise_model_id(model_id), "sbom_count": 0, diff --git a/src/controllers/web_controller.py b/src/controllers/web_controller.py index 130ce2d..2f4c458 100644 --- a/src/controllers/web_controller.py +++ b/src/controllers/web_controller.py @@ -14,9 +14,9 @@ from ..models.service import AIBOMService from ..models.scoring import calculate_completeness_score -from ..config import TEMPLATES_DIR, OUTPUT_DIR, RECAPTCHA_SITE_KEY from ..utils.analytics import log_sbom_generation, get_sbom_count -from ..utils.captcha import verify_recaptcha +from ..utils.formatter import export_aibom +from ..config import TEMPLATES_DIR, OUTPUT_DIR logger = logging.getLogger(__name__) @@ -50,8 +50,7 @@ def is_valid_hf_input(input_str: str) -> bool: async def root(request: Request): return templates.TemplateResponse("index.html", { "request": request, - "sbom_count": get_sbom_count(), - "recaptcha_site_key": RECAPTCHA_SITE_KEY + "sbom_count": get_sbom_count() }) @router.get("/status") @@ -63,17 +62,8 @@ async def generate_form( request: Request, model_id: str = Form(...), include_inference: bool = Form(False), - use_best_practices: bool = Form(True), - g_recaptcha_response: Optional[str] = Form(None) + use_best_practices: bool = Form(True) ): - # Verify CAPTCHA - if not verify_recaptcha(g_recaptcha_response): - return templates.TemplateResponse("error.html", { - "request": request, - "error": "Security verification failed.", - "sbom_count": get_sbom_count() - }) - # Security: Validate BEFORE sanitizing to prevent bypass attacks # (e.g., → <script>org/model</script> could slip through) if not is_valid_hf_input(model_id): @@ -123,13 +113,21 @@ def _generate_task(): # Save file (non-blocking I/O) filename = f"{normalized_id.replace('/', '_')}_ai_sbom_1_6.json" filepath = os.path.join(OUTPUT_DIR, filename) + filepath_1_7 = os.path.join(OUTPUT_DIR, f"{normalized_id.replace('/', '_')}_ai_sbom_1_7.json") def _save_task(): + # Generate Formatted JSON strings + json_1_6 = export_aibom(aibom, bom_type="cyclonedx", spec_version="1.6") + json_1_7 = export_aibom(aibom, bom_type="cyclonedx", spec_version="1.7") + with open(filepath, "w") as f: - json.dump(aibom, f, indent=2) + f.write(json_1_6) + with open(filepath_1_7, "w") as f: + f.write(json_1_7) log_sbom_generation(sanitized_model_id) + return json_1_6, json_1_7 - await loop.run_in_executor(None, _save_task) + json_1_6, json_1_7 = await loop.run_in_executor(None, _save_task) # Extract score completeness_score = None @@ -146,7 +144,8 @@ def _save_task(): "filename": filename, "download_url": f"/output/{filename}", "aibom": aibom, - "aibom_json": json.dumps(aibom, indent=2), + "aibom_cdx_json_1_6": json_1_6, + "aibom_cdx_json_1_7": json_1_7, "components_json": json.dumps(aibom.get("components", []), indent=2), "model_id": normalized_id, "sbom_count": get_sbom_count(), diff --git a/src/models/extractor.py b/src/models/extractor.py index 76cd3ff..792108e 100644 --- a/src/models/extractor.py +++ b/src/models/extractor.py @@ -13,6 +13,7 @@ from .schemas import DataSource, ConfidenceLevel, ExtractionResult from .registry import get_field_registry_manager +from .model_file_extractors import ModelFileExtractor, default_extractors logger = logging.getLogger(__name__) @@ -109,16 +110,18 @@ def __init__(self, hf_api: Optional[HfApi] = None): ] } - def __init__(self, hf_api: Optional[HfApi] = None): - """ - Initialize the enhanced extractor with registry integration. - - Args: - hf_api: Optional HuggingFace API instance (will create if not provided) - """ + def __init__( + self, + hf_api: Optional[HfApi] = None, + model_file_extractors: Optional[List[ModelFileExtractor]] = None, + ): self.hf_api = hf_api or HfApi() self.extraction_results = {} - + self.model_file_extractors = ( + model_file_extractors if model_file_extractors is not None + else default_extractors() + ) + # Initialize registry manager try: self.registry_manager = get_field_registry_manager() @@ -126,7 +129,7 @@ def __init__(self, hf_api: Optional[HfApi] = None): except Exception as e: logger.warning(f"⚠️ Could not initialize registry manager: {e}") self.registry_manager = None - + # Load registry fields self.registry_fields = {} if self.registry_manager: @@ -136,10 +139,7 @@ def __init__(self, hf_api: Optional[HfApi] = None): except Exception as e: logger.error(f"❌ Error loading registry fields: {e}") self.registry_fields = {} - - # Patterns are now class-level constants - # self._compile_patterns() - Removed - + logger.info(f"Enhanced extractor initialized (registry-driven: {bool(self.registry_fields)})") # def _compile_patterns(self): - Removed @@ -231,8 +231,19 @@ def _registry_driven_extraction(self, model_id: str, model_info: Dict[str, Any], continue logger.info(f"📊 Registry extraction complete: {successful_extractions} successful, {failed_extractions} failed") - - # Add external references (always needed) + + model_file_metadata = self._extract_model_file_metadata(model_id) + if model_file_metadata: + for key, value in model_file_metadata.items(): + if value is not None: + metadata[key] = value + self.extraction_results[key] = ExtractionResult( + value=value, + source=DataSource.REPOSITORY_FILES, + confidence=ConfidenceLevel.HIGH, + extraction_method="model_file_header", + ) + # Always extract commit SHA if available (vital for BOM versioning) if 'commit' not in metadata: commit_sha = getattr(model_info, 'sha', None) @@ -244,6 +255,23 @@ def _registry_driven_extraction(self, model_id: str, model_info: Dict[str, Any], return metadata + def _extract_model_file_metadata(self, model_id: str) -> Dict[str, Any]: + for extractor in self.model_file_extractors: + try: + if extractor.can_extract(model_id): + metadata = extractor.extract_metadata(model_id) + if metadata: + logger.info( + f"{type(extractor).__name__} returned {len(metadata)} fields" + ) + return metadata + except Exception as e: + logger.warning( + f"Model file extraction failed ({type(extractor).__name__}): {e}" + ) + continue + return {} + def _extract_registry_field(self, field_name: str, field_config: Dict[str, Any], context: Dict[str, Any]) -> Any: """ Extract a single field based on its registry configuration. @@ -513,7 +541,7 @@ def _try_text_pattern_extraction(self, field_name: str, context: Dict[str, Any]) 'licenses': 'license', # Fix: Handle plural key 'datasets': 'datasets', 'energyConsumption': 'energy', - 'limitation': 'limitations', + 'technicalLimitations': 'limitations', 'safetyRiskAssessment': 'safety', 'model_type': 'model_type' } diff --git a/src/models/field_registry.json b/src/models/field_registry.json index 9413e0d..0300a8a 100644 --- a/src/models/field_registry.json +++ b/src/models/field_registry.json @@ -75,7 +75,7 @@ "description", "licenses", "hyperparameter", - "limitation", + "technicalLimitations", "energyConsumption", "safetyRiskAssessment", "typeOfModel" @@ -139,6 +139,11 @@ "validation_message": { "missing": "Missing critical field: bomFormat - essential for SBOM identification", "recommendation": "Ensure bomFormat is set to 'CycloneDX'" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#bomFormat", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#bomFormat", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/core/" } }, "datasets": { @@ -169,6 +174,11 @@ "validation_message": { "missing": "Missing field: datasets - training data information important for transparency", "recommendation": "Add information about the datasets used to train the model" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_modelCard_modelParameters_datasets", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_modelCard_modelParameters_datasets", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/dataset/" } }, "paper": { @@ -204,6 +214,11 @@ "validation_message": { "missing": "No research paper link found", "recommendation": "Add ArXiv tag or paper link to model card" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_externalReferences", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_externalReferences", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/ai/" } }, "vcs": { @@ -240,6 +255,11 @@ "validation_message": { "missing": "No VCS link found", "recommendation": "Add repository link to model card" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_externalReferences", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_externalReferences", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/ai/" } }, "website": { @@ -276,6 +296,11 @@ "validation_message": { "missing": "No website link found", "recommendation": "Add website link to model card" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_externalReferences", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_externalReferences", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/ai/" } }, "specVersion": { @@ -305,6 +330,11 @@ "validation_message": { "missing": "Missing critical field: specVersion - required for CycloneDX compliance", "recommendation": "Set specVersion to '1.6' for CycloneDX 1.6 compliance" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#specVersion", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#specVersion", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/core/" } }, "serialNumber": { @@ -334,6 +364,11 @@ "validation_message": { "missing": "Missing critical field: serialNumber - unique identifier required", "recommendation": "Generate a UUID for the SBOM instance" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#serialNumber", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#serialNumber", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/core/" } }, "version": { @@ -363,6 +398,11 @@ "validation_message": { "missing": "Missing critical field: version - document version required", "recommendation": "Set version to 1 for initial SBOM generation" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#version", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#version", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/core/" } }, "primaryPurpose": { @@ -393,6 +433,11 @@ "validation_message": { "missing": "Missing critical field: primaryPurpose - essential for understanding model intent", "recommendation": "Add the primary task or purpose of the AI model" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_modelCard_modelParameters_approach", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_modelCard_modelParameters_approach", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/ai/" } }, "suppliedBy": { @@ -423,6 +468,11 @@ "validation_message": { "missing": "Missing critical field: suppliedBy - supplier identification required", "recommendation": "Add the organization or individual who provided the model" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_supplier", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_supplier", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/software/" } }, "standardCompliance": { @@ -451,6 +501,10 @@ "validation_message": { "missing": "Missing supplementary field: standardCompliance - compliance information helpful", "recommendation": "Add any relevant standards or regulations the model complies with" + }, + "reference_urls": { + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/model/AI/Classes/AIPackage/#AI-standardCompliance", + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" } }, "external_references": { @@ -480,6 +534,11 @@ "validation_message": { "missing": "Missing supplementary field: external_references - additional references helpful", "recommendation": "Add links to papers, documentation, or other resources" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_externalReferences", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_externalReferences", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/ai/" } }, "domain": { @@ -509,6 +568,10 @@ "validation_message": { "missing": "Missing supplementary field: domain - application domain helpful for context", "recommendation": "Add the domain or field where this model is typically applied" + }, + "reference_urls": { + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/model/AI/Classes/AIPackage/#AI-domain", + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" } }, "autonomyType": { @@ -537,6 +600,10 @@ "validation_message": { "missing": "Missing supplementary field: autonomyType - autonomy level information helpful", "recommendation": "Add information about the level of human oversight required" + }, + "reference_urls": { + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/model/AI/Classes/AIPackage/#AI-autonomyType", + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" } }, "name": { @@ -567,6 +634,11 @@ "validation_message": { "missing": "Missing critical field: name - essential for model identification", "recommendation": "Add a descriptive name for the model" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_name", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_name", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/software/" } }, "type": { @@ -596,6 +668,11 @@ "validation_message": { "missing": "Missing field: type - component type classification needed", "recommendation": "Set type to 'machine-learning-model' for AI models" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_type", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_type", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/software/" } }, "component_version": { @@ -625,6 +702,11 @@ "validation_message": { "missing": "Missing field: version - component version needed", "recommendation": "Set an appropriate version for the component" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_version", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_version", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/software/" } }, "purl": { @@ -654,6 +736,11 @@ "validation_message": { "missing": "Missing field: purl - package URL for identification", "recommendation": "Add a Package URL (PURL) for the model" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_purl", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_purl", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/software/Package/" } }, "description": { @@ -683,6 +770,11 @@ "validation_message": { "missing": "Missing field: description - model description helpful for understanding", "recommendation": "Add a clear description of what the model does" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_description", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_description", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/software/" } }, "licenses": { @@ -712,6 +804,11 @@ "validation_message": { "missing": "Missing field: licenses - license information important for compliance", "recommendation": "Add license information for the model" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_licenses", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_licenses", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/simple_licensing/" } }, "ethicalConsiderations": { @@ -741,6 +838,11 @@ "validation_message": { "missing": "Missing field: ethicalConsiderations - ethical information is critical", "recommendation": "Add ethical considerations or fairness assessments" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_modelCard_considerations_ethicalConsiderations", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_modelCard_considerations_ethicalConsiderations", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/ai/" } }, "energyConsumption": { @@ -769,14 +871,19 @@ "validation_message": { "missing": "Missing field: energyConsumption - energy usage information helpful for sustainability", "recommendation": "Add information about the model's energy consumption" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_modelCard_considerations_environmentalConsiderations_energyConsumptions", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_modelCard_considerations_environmentalConsiderations_energyConsumptions", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/ai/" } }, "hyperparameter": { "tier": "important", "weight": 2.0, "category": "component_model_card", - "description": "Key hyperparameters used in training", - "jsonpath": "$.metadata.properties[?(@.name=='hyperparameter')].value", + "description": "Key hyperparameters of the model architecture", + "jsonpath": "$.components[0].modelCard.properties[?(@.name=='genai:aibom:modelcard:hyperparameter')].value", "aibom_generation": { "location": "$.metadata.properties", "rule": "include_if_available", @@ -798,9 +905,13 @@ "validation_message": { "missing": "Missing field: hyperparameter - training configuration helpful for reproducibility", "recommendation": "Add key hyperparameters used during model training" + }, + "reference_urls": { + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/model/AI/Classes/AIPackage/#AI-hyperparameter", + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" } }, - "limitation": { + "technicalLimitations": { "tier": "important", "weight": 2.0, "category": "component_model_card", @@ -810,7 +921,7 @@ "location": "$.component.modelCard.considerations.technicalLimitations", "rule": "include_if_available", "source_fields": [ - "limitation", + "technicalLimitations", "limitations", "known_issues" ], @@ -825,8 +936,13 @@ "category_contribution": 0.067 }, "validation_message": { - "missing": "Missing field: limitation - limitations information helpful for safety", - "recommendation": "Add known limitations of the model" + "missing": "Missing field: technicalLimitations - limitations information helpful for safety", + "recommendation": "Add known technical limitations of the model" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_modelCard_considerations_technicalLimitations", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_modelCard_considerations_technicalLimitations", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/ai/" } }, "safetyRiskAssessment": { @@ -856,6 +972,10 @@ "validation_message": { "missing": "Missing field: safetyRiskAssessment - safety assessment important for responsible deployment", "recommendation": "Add safety and risk assessment information" + }, + "reference_urls": { + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/model/AI/Classes/AIPackage/#AI-safetyRiskAssessment", + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" } }, "intendedUse": { @@ -885,6 +1005,11 @@ "validation_message": { "missing": "Missing field: intendedUse - intended use information helpful for context", "recommendation": "Add intended use cases for the model" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_modelCard_considerations_useCases", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_modelCard_considerations_useCases", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/ai/" } }, "typeOfModel": { @@ -914,6 +1039,11 @@ "validation_message": { "missing": "Missing field: typeOfModel - model architecture information helpful", "recommendation": "Add the type or architecture of the model (e.g., Transformer, CNN)" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_modelCard_modelParameters_approach", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_modelCard_modelParameters_approach", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/ai/" } }, "modelExplainability": { @@ -921,7 +1051,7 @@ "weight": 1.0, "category": "component_model_card", "description": "Information about model explainability", - "jsonpath": "$.metadata.properties[?(@.name=='modelExplainability')].value", + "jsonpath": "$.components[0].modelCard.properties[?(@.name=='genai:aibom:modelcard:modelCardExplainability')].value", "aibom_generation": { "location": "$.metadata.properties", "rule": "include_if_available", @@ -943,6 +1073,10 @@ "validation_message": { "missing": "Missing supplementary field: modelExplainability - explainability information helpful for transparency", "recommendation": "Add information about model explainability or interpretability features" + }, + "reference_urls": { + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/model/AI/Classes/AIPackage/#AI-modelExplainability", + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" } }, "energyQuantity": { @@ -971,6 +1105,11 @@ "validation_message": { "missing": "Missing supplementary field: energyQuantity - quantitative energy data helpful for sustainability metrics", "recommendation": "Add specific energy consumption quantities" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_modelCard_considerations_environmentalConsiderations_energyConsumptions_items_activityEnergyCost_value", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_modelCard_considerations_environmentalConsiderations_energyConsumptions_items_activityEnergyCost_value", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/ai/" } }, "energyUnit": { @@ -999,6 +1138,11 @@ "validation_message": { "missing": "Missing supplementary field: energyUnit - energy measurement unit helpful for standardization", "recommendation": "Add the unit of measurement for energy consumption (e.g., kWh, Joules)" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_modelCard_considerations_environmentalConsiderations_energyConsumptions_items_activityEnergyCost_unit", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_modelCard_considerations_environmentalConsiderations_energyConsumptions_items_activityEnergyCost_unit", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/ai/" } }, "informationAboutTraining": { @@ -1028,6 +1172,10 @@ "validation_message": { "missing": "Missing supplementary field: informationAboutTraining - training details helpful for understanding model development", "recommendation": "Add information about the training process and methodology" + }, + "reference_urls": { + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/model/AI/Classes/AIPackage/#AI-informationAboutTraining", + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" } }, "informationAboutApplication": { @@ -1057,6 +1205,11 @@ "validation_message": { "missing": "Missing supplementary field: informationAboutApplication - application guidance helpful for proper usage", "recommendation": "Add information about intended applications and use cases" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_modelCard_considerations_useCases", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_modelCard_considerations_useCases", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/ai/" } }, "metric": { @@ -1086,6 +1239,11 @@ "validation_message": { "missing": "Missing supplementary field: metric - performance metrics helpful for evaluation", "recommendation": "Add performance metrics and evaluation results" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_modelCard_quantitativeAnalysis_performanceMetrics", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_modelCard_quantitativeAnalysis_performanceMetrics", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/ai/" } }, "metricDecisionThreshold": { @@ -1115,6 +1273,10 @@ "validation_message": { "missing": "Missing supplementary field: metricDecisionThreshold - decision thresholds helpful for operational guidance", "recommendation": "Add decision thresholds for performance metrics" + }, + "reference_urls": { + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/model/AI/Classes/AIPackage/#AI-metricDecisionThreshold", + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" } }, "modelDataPreprocessing": { @@ -1144,6 +1306,10 @@ "validation_message": { "missing": "Missing supplementary field: modelDataPreprocessing - preprocessing details helpful for reproducibility", "recommendation": "Add information about data preprocessing steps" + }, + "reference_urls": { + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/model/AI/Classes/AIPackage/#AI-modelDataPreprocessing", + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" } }, "useSensitivePersonalInformation": { @@ -1173,12 +1339,16 @@ "validation_message": { "missing": "Missing supplementary field: useSensitivePersonalInformation - privacy information important for compliance", "recommendation": "Add information about use of sensitive or personal data" + }, + "reference_urls": { + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/model/AI/Classes/AIPackage/#AI-useSensitivePersonalInformation", + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" } }, "downloadLocation": { "tier": "important", "weight": 3.0, - "category": "component_basic", + "category": "external_references", "description": "URL to download the model", "jsonpath": "$.components[0].externalReferences[?(@.type=='distribution' || @.type=='website')].url", "aibom_generation": { @@ -1203,6 +1373,341 @@ "validation_message": { "missing": "Missing field: downloadLocation - model download URL required", "recommendation": "Add a URL where the model can be downloaded" + }, + "reference_urls": { + "cyclonedx_1.6": "https://cyclonedx.org/docs/1.6/json/#components_items_externalReferences", + "cyclonedx_1.7": "https://cyclonedx.org/docs/1.7/json/#components_items_externalReferences", + "spdx_3.1": "https://spdx.github.io/spdx-spec/v3.1-RC1/ai/" + } + }, + "vocab_size": { + "tier": "supplementary", + "weight": 1.0, + "category": "component_model_card", + "description": "Expected size of the model's vocabulary", + "jsonpath": "$.components[0].modelCard.properties[?(@.name=='genai:aibom:modelcard:vocabSize')].value", + "aibom_generation": { + "location": "$.components[0].properties", + "rule": "include_if_available", + "source_fields": [ + "vocab_size" + ], + "validation": "optional", + "data_type": "integer" + }, + "scoring": { + "points": 1.0, + "required_for_profiles": [ + "advanced" + ], + "category_contribution": 0.033 + }, + "validation_message": { + "missing": "Missing supplementary field: vocab_size - GGUF model properties helpful for reproducibility", + "recommendation": "Add Vocabulary Size" + }, + "reference_urls": { + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" + } + }, + "tokenizer_class": { + "tier": "supplementary", + "weight": 1.0, + "category": "component_model_card", + "description": "The specific tokenizer class or method used", + "jsonpath": "$.components[0].modelCard.properties[?(@.name=='genai:aibom:modelcard:tokenizerClass')].value", + "aibom_generation": { + "location": "$.components[0].properties", + "rule": "include_if_available", + "source_fields": [ + "tokenizer_class" + ], + "validation": "optional", + "data_type": "string" + }, + "scoring": { + "points": 1.0, + "required_for_profiles": [ + "advanced" + ], + "category_contribution": 0.033 + }, + "validation_message": { + "missing": "Missing supplementary field: tokenizer_class - GGUF model properties helpful for reproducibility", + "recommendation": "Add Tokenizer Class" + }, + "reference_urls": { + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" + } + }, + "context_length": { + "tier": "supplementary", + "weight": 1.0, + "category": "component_model_card", + "description": "Maximum context length or sequence length supported", + "jsonpath": "$.components[0].modelCard.properties[?(@.name=='genai:aibom:modelcard:contextLength')].value", + "aibom_generation": { + "location": "$.components[0].properties", + "rule": "include_if_available", + "source_fields": [ + "context_length" + ], + "validation": "optional", + "data_type": "integer" + }, + "scoring": { + "points": 1.0, + "required_for_profiles": [ + "advanced" + ], + "category_contribution": 0.033 + }, + "validation_message": { + "missing": "Missing supplementary field: context_length - GGUF model properties helpful for reproducibility", + "recommendation": "Add Context Length" + }, + "reference_urls": { + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" + } + }, + "embedding_length": { + "tier": "supplementary", + "weight": 1.0, + "category": "component_model_card", + "description": "Vector length of the token embeddings", + "jsonpath": "$.components[0].modelCard.properties[?(@.name=='genai:aibom:modelcard:embeddingLength')].value", + "aibom_generation": { + "location": "$.components[0].properties", + "rule": "include_if_available", + "source_fields": [ + "embedding_length" + ], + "validation": "optional", + "data_type": "integer" + }, + "scoring": { + "points": 1.0, + "required_for_profiles": [ + "advanced" + ], + "category_contribution": 0.033 + }, + "validation_message": { + "missing": "Missing supplementary field: embedding_length - GGUF model properties helpful for reproducibility", + "recommendation": "Add Embedding Length" + }, + "reference_urls": { + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" + } + }, + "block_count": { + "tier": "supplementary", + "weight": 1.0, + "category": "component_model_card", + "description": "Number of transformer blocks or layers", + "jsonpath": "$.components[0].modelCard.properties[?(@.name=='genai:aibom:modelcard:blockCount')].value", + "aibom_generation": { + "location": "$.components[0].properties", + "rule": "include_if_available", + "source_fields": [ + "block_count" + ], + "validation": "optional", + "data_type": "integer" + }, + "scoring": { + "points": 1.0, + "required_for_profiles": [ + "advanced" + ], + "category_contribution": 0.033 + }, + "validation_message": { + "missing": "Missing supplementary field: block_count - GGUF model properties helpful for reproducibility", + "recommendation": "Add Block Count" + }, + "reference_urls": { + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" + } + }, + "attention_head_count": { + "tier": "supplementary", + "weight": 1.0, + "category": "component_model_card", + "description": "Number of attention heads in the model", + "jsonpath": "$.components[0].modelCard.properties[?(@.name=='genai:aibom:modelcard:attentionHeadCount')].value", + "aibom_generation": { + "location": "$.components[0].properties", + "rule": "include_if_available", + "source_fields": [ + "attention_head_count" + ], + "validation": "optional", + "data_type": "integer" + }, + "scoring": { + "points": 1.0, + "required_for_profiles": [ + "advanced" + ], + "category_contribution": 0.033 + }, + "validation_message": { + "missing": "Missing supplementary field: attention_head_count - GGUF model properties helpful for reproducibility", + "recommendation": "Add Attention Head Count" + }, + "reference_urls": { + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" + } + }, + "attention_head_count_kv": { + "tier": "supplementary", + "weight": 1.0, + "category": "component_model_card", + "description": "Number of Key-Value attention heads", + "jsonpath": "$.components[0].modelCard.properties[?(@.name=='genai:aibom:modelcard:attentionHeadCountKV')].value", + "aibom_generation": { + "location": "$.components[0].properties", + "rule": "include_if_available", + "source_fields": [ + "attention_head_count_kv" + ], + "validation": "optional", + "data_type": "integer" + }, + "scoring": { + "points": 1.0, + "required_for_profiles": [ + "advanced" + ], + "category_contribution": 0.033 + }, + "validation_message": { + "missing": "Missing supplementary field: attention_head_count_kv - GGUF model properties helpful for reproducibility", + "recommendation": "Add Attention Head Count KV" + }, + "reference_urls": { + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" + } + }, + "feed_forward_length": { + "tier": "supplementary", + "weight": 1.0, + "category": "component_model_card", + "description": "Dimensionality of the feed-forward network", + "jsonpath": "$.components[0].modelCard.properties[?(@.name=='genai:aibom:modelcard:feedForwardLength')].value", + "aibom_generation": { + "location": "$.components[0].properties", + "rule": "include_if_available", + "source_fields": [ + "feed_forward_length" + ], + "validation": "optional", + "data_type": "integer" + }, + "scoring": { + "points": 1.0, + "required_for_profiles": [ + "advanced" + ], + "category_contribution": 0.033 + }, + "validation_message": { + "missing": "Missing supplementary field: feed_forward_length - GGUF model properties helpful for reproducibility", + "recommendation": "Add Feed Forward Length" + }, + "reference_urls": { + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" + } + }, + "rope_dimension_count": { + "tier": "supplementary", + "weight": 1.0, + "category": "component_model_card", + "description": "Number of dimensions for Rotary Position Embedding (RoPE)", + "jsonpath": "$.components[0].modelCard.properties[?(@.name=='genai:aibom:modelcard:ropeDimensionCount')].value", + "aibom_generation": { + "location": "$.components[0].properties", + "rule": "include_if_available", + "source_fields": [ + "rope_dimension_count" + ], + "validation": "optional", + "data_type": "integer" + }, + "scoring": { + "points": 1.0, + "required_for_profiles": [ + "advanced" + ], + "category_contribution": 0.033 + }, + "validation_message": { + "missing": "Missing supplementary field: rope_dimension_count - GGUF model properties helpful for reproducibility", + "recommendation": "Add RoPE Dimension Count" + }, + "reference_urls": { + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" + } + }, + "quantization_version": { + "tier": "supplementary", + "weight": 1.0, + "category": "component_model_card", + "description": "Version or specification identifier of the quantization format", + "jsonpath": "$.components[0].modelCard.properties[?(@.name=='genai:aibom:modelcard:quantizationVersion')].value", + "aibom_generation": { + "location": "$.components[0].properties", + "rule": "include_if_available", + "source_fields": [ + "quantization_version" + ], + "validation": "optional", + "data_type": "integer" + }, + "scoring": { + "points": 1.0, + "required_for_profiles": [ + "advanced" + ], + "category_contribution": 0.033 + }, + "validation_message": { + "missing": "Missing supplementary field: quantization_version - GGUF model properties helpful for reproducibility", + "recommendation": "Add Quantization Version" + }, + "reference_urls": { + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" + } + }, + "quantization_file_type": { + "tier": "supplementary", + "weight": 1.0, + "category": "component_model_card", + "description": "Enum or integer identifier for the quantization bit-precision (e.g. Q4_K_M)", + "jsonpath": "$.components[0].modelCard.properties[?(@.name=='genai:aibom:modelcard:quantizationFileType')].value", + "aibom_generation": { + "location": "$.components[0].properties", + "rule": "include_if_available", + "source_fields": [ + "quantization_file_type" + ], + "validation": "optional", + "data_type": "integer" + }, + "scoring": { + "points": 1.0, + "required_for_profiles": [ + "advanced" + ], + "category_contribution": 0.033 + }, + "validation_message": { + "missing": "Missing supplementary field: quantization_file_type - GGUF model properties helpful for reproducibility", + "recommendation": "Add Quantization File Type" + }, + "reference_urls": { + "genai_aibom_taxonomy": "https://github.com/GenAI-Security-Project/cyclonedx-property-taxonomy" } } } diff --git a/src/models/gguf_metadata.py b/src/models/gguf_metadata.py new file mode 100644 index 0000000..0e1b3f7 --- /dev/null +++ b/src/models/gguf_metadata.py @@ -0,0 +1,528 @@ +""" +GGUF Metadata Extraction for AIBOM Generator + +This module extracts metadata from GGUF files without downloading the full file. +It uses HTTP range requests to fetch only the header portion (typically 2-8MB) +of potentially multi-GB model files. +""" + +import struct +import logging +from typing import Dict, Any, Optional, List, OrderedDict +from collections import OrderedDict as OrderedDictType +from urllib.parse import quote + +logger = logging.getLogger(__name__) + +GGUF_MAGIC = 0x46554747 + +_STRUCT_UINT8 = struct.Struct(" None: + self._view = memoryview(buffer) + self._offset = 0 + + @property + def offset(self) -> int: + return self._offset + + def _require(self, size: int) -> None: + if self._offset + size > len(self._view): + raise BufferUnderrunError( + f"need {size} bytes at offset {self._offset}, but only {len(self._view) - self._offset} available", + required_bytes=self._offset + size + ) + + def read(self, size: int) -> memoryview: + self._require(size) + start = self._offset + self._offset += size + return self._view[start:self._offset] + + def read_uint8(self) -> int: + return _STRUCT_UINT8.unpack_from(self.read(_STRUCT_UINT8.size))[0] + + def read_int8(self) -> int: + return _STRUCT_INT8.unpack_from(self.read(_STRUCT_INT8.size))[0] + + def read_uint16(self) -> int: + return _STRUCT_UINT16.unpack_from(self.read(_STRUCT_UINT16.size))[0] + + def read_int16(self) -> int: + return _STRUCT_INT16.unpack_from(self.read(_STRUCT_INT16.size))[0] + + def read_uint32(self) -> int: + return _STRUCT_UINT32.unpack_from(self.read(_STRUCT_UINT32.size))[0] + + def read_int32(self) -> int: + return _STRUCT_INT32.unpack_from(self.read(_STRUCT_INT32.size))[0] + + def read_uint64(self) -> int: + return _STRUCT_UINT64.unpack_from(self.read(_STRUCT_UINT64.size))[0] + + def read_int64(self) -> int: + return _STRUCT_INT64.unpack_from(self.read(_STRUCT_INT64.size))[0] + + def read_float32(self) -> float: + return _STRUCT_FLOAT32.unpack_from(self.read(_STRUCT_FLOAT32.size))[0] + + def read_float64(self) -> float: + return _STRUCT_FLOAT64.unpack_from(self.read(_STRUCT_FLOAT64.size))[0] + + def read_bool(self) -> bool: + return self.read_uint8() != 0 + + def read_string(self) -> str: + length = self.read_uint64() + if length > 10_000_000: + raise GGUFParseError(f"string length {length} exceeds sanity limit") + raw = self.read(length) + return raw.tobytes().decode("utf-8") + + +def _read_value(reader: _ByteReader, value_type: int) -> Any: + """Parse a GGUF metadata value based on its type.""" + if value_type == GGUFValueType.UINT8: + return reader.read_uint8() + elif value_type == GGUFValueType.INT8: + return reader.read_int8() + elif value_type == GGUFValueType.UINT16: + return reader.read_uint16() + elif value_type == GGUFValueType.INT16: + return reader.read_int16() + elif value_type == GGUFValueType.UINT32: + return reader.read_uint32() + elif value_type == GGUFValueType.INT32: + return reader.read_int32() + elif value_type == GGUFValueType.UINT64: + return reader.read_uint64() + elif value_type == GGUFValueType.INT64: + return reader.read_int64() + elif value_type == GGUFValueType.FLOAT32: + return reader.read_float32() + elif value_type == GGUFValueType.FLOAT64: + return reader.read_float64() + elif value_type == GGUFValueType.BOOL: + return reader.read_bool() + elif value_type == GGUFValueType.STRING: + return reader.read_string() + elif value_type == GGUFValueType.ARRAY: + element_type = reader.read_uint32() + count = reader.read_uint64() + if count > 1_000_000: + raise GGUFParseError(f"array count {count} exceeds sanity limit") + return [_read_value(reader, element_type) for _ in range(count)] + else: + raise GGUFParseError(f"unknown GGUF value type: {value_type}") + + +def parse_gguf_metadata(buffer: bytes, filename: str = "") -> GGUFMetadata: + """Parse GGUF metadata from a byte buffer.""" + reader = _ByteReader(buffer) + + magic = reader.read_uint32() + if magic != GGUF_MAGIC: + raise InvalidMagicError(f"invalid magic: 0x{magic:08x}, expected 0x{GGUF_MAGIC:08x}") + + version = reader.read_uint32() + tensor_count = reader.read_uint64() + kv_count = reader.read_uint64() + + if kv_count > 100_000: + raise GGUFParseError(f"kv_count {kv_count} exceeds sanity limit") + + metadata: OrderedDictType[str, Any] = OrderedDictType() + + for _ in range(kv_count): + key = reader.read_string() + value_type = reader.read_uint32() + value = _read_value(reader, value_type) + metadata[key] = value + + return GGUFMetadata( + version=version, + tensor_count=tensor_count, + kv_count=kv_count, + metadata=metadata, + header_length=reader.offset, + filename=filename + ) + + +def extract_model_info(gguf_metadata: GGUFMetadata) -> GGUFModelInfo: + """Extract AIBOM-relevant model information from GGUF metadata.""" + meta = gguf_metadata.metadata + arch = meta.get("general.architecture", "") + + def get_arch_key(suffix: str) -> Optional[Any]: + if arch: + val = meta.get(f"{arch}.{suffix}") + if val is not None: + return val + return None + + return GGUFModelInfo( + filename=gguf_metadata.filename, + architecture=arch or None, + name=meta.get("general.name"), + quantization_version=meta.get("general.quantization_version"), + file_type=meta.get("general.file_type"), + tokenizer_model=meta.get("tokenizer.ggml.model"), + vocab_size=len(meta.get("tokenizer.ggml.tokens", [])) or None, + context_length=get_arch_key("context_length"), + embedding_length=get_arch_key("embedding_length"), + block_count=get_arch_key("block_count"), + attention_head_count=get_arch_key("attention.head_count"), + attention_head_count_kv=get_arch_key("attention.head_count_kv"), + feed_forward_length=get_arch_key("feed_forward_length"), + rope_dimension_count=get_arch_key("rope.dimension_count"), + description=meta.get("general.description"), + license=meta.get("general.license"), + author=meta.get("general.author"), + raw_metadata=dict(meta) + ) + + +def build_huggingface_url(repo_id: str, filename: str, revision: str = "main") -> str: + """Build a HuggingFace download URL for a file.""" + if not repo_id or "/" not in repo_id: + raise ValueError("repo_id must be in format 'owner/repo'") + + owner, repo = repo_id.split("/", 1) + owner_quoted = quote(owner, safe="-_.~") + repo_quoted = quote(repo, safe="-_.~") + revision_quoted = quote(revision, safe="-_.~") + filename_quoted = "/".join(quote(part, safe="-_.~/") for part in filename.split("/")) + + return f"https://huggingface.co/{owner_quoted}/{repo_quoted}/resolve/{revision_quoted}/{filename_quoted}" + + +def fetch_gguf_metadata_from_url( + url: str, + filename: str = "", + *, + hf_token: Optional[str] = None, + initial_request_size: int = 8 * 1024 * 1024, + max_request_size: int = 64 * 1024 * 1024, + timeout: float = 60.0, +) -> GGUFMetadata: + """Fetch and parse GGUF metadata from a URL using HTTP range requests.""" + try: + import httpx + except ImportError: + raise ImportError("httpx is required for remote GGUF fetching. Install with: pip install httpx") + + headers = { + "User-Agent": "OWASP-AIBOM-Generator/1.0", + "Accept": "application/octet-stream", + } + if hf_token: + headers["Authorization"] = f"Bearer {hf_token}" + + with httpx.Client(timeout=timeout, follow_redirects=False) as client: + current_url = url + for _ in range(5): + response = client.head(current_url, headers=headers) + if response.status_code in (301, 302, 303, 307, 308): + current_url = response.headers.get("location", current_url) + logger.debug(f"Redirecting to: {current_url}") + else: + break + actual_url = current_url + + buffer = bytearray() + request_size = initial_request_size + + with httpx.Client(timeout=timeout, follow_redirects=True) as client: + range_header = f"bytes=0-{request_size - 1}" + request_headers = {**headers, "Range": range_header} + + logger.info(f"Fetching first {request_size // (1024*1024)}MB of GGUF metadata...") + response = client.get(actual_url, headers=request_headers) + response.raise_for_status() + buffer.extend(response.content) + + max_retries = 5 + for retry in range(max_retries): + try: + return parse_gguf_metadata(bytes(buffer), filename) + except BufferUnderrunError as exc: + if retry >= max_retries - 1: + raise + + if exc.required_bytes: + needed = max(exc.required_bytes + 2 * 1024 * 1024, len(buffer) * 2) + else: + needed = len(buffer) * 2 + + additional_size = min(needed - len(buffer), max_request_size - len(buffer)) + + if additional_size <= 0 or len(buffer) >= max_request_size: + raise GGUFParseError(f"unable to parse metadata within {max_request_size} bytes") + + logger.info(f"Need more data (retry {retry + 1}), fetching additional {additional_size // 1024}KB...") + + range_header = f"bytes={len(buffer)}-{len(buffer) + additional_size - 1}" + request_headers = {**headers, "Range": range_header} + response = client.get(actual_url, headers=request_headers) + response.raise_for_status() + buffer.extend(response.content) + logger.info(f"Buffer now {len(buffer) // 1024}KB") + + +def fetch_gguf_metadata_from_repo( + repo_id: str, + filename: str, + *, + revision: str = "main", + hf_token: Optional[str] = None, + **kwargs +) -> GGUFModelInfo: + """Fetch and extract AIBOM-relevant metadata from a GGUF file in a HuggingFace repo.""" + url = build_huggingface_url(repo_id, filename, revision) + logger.info(f"Fetching GGUF metadata from {repo_id}/{filename}") + + gguf_metadata = fetch_gguf_metadata_from_url( + url, + filename=filename, + hf_token=hf_token, + **kwargs + ) + + return extract_model_info(gguf_metadata) + + +def list_gguf_files(repo_id: str, hf_token: Optional[str] = None) -> List[str]: + """List GGUF files in a HuggingFace repository.""" + from huggingface_hub import list_repo_files + + files = list_repo_files(repo_id, token=hf_token) + return [f for f in files if f.endswith('.gguf')] + + +def extract_all_gguf_metadata( + repo_id: str, + *, + hf_token: Optional[str] = None, + **kwargs +) -> List[GGUFModelInfo]: + """Extract metadata from all GGUF files in a repository.""" + gguf_files = list_gguf_files(repo_id, hf_token) + + if not gguf_files: + logger.debug(f"No GGUF files found in {repo_id}") + return [] + + logger.info(f"Found {len(gguf_files)} GGUF files in {repo_id}") + + results = [] + for filename in gguf_files: + try: + info = fetch_gguf_metadata_from_repo( + repo_id, + filename, + hf_token=hf_token, + **kwargs + ) + results.append(info) + logger.info(f" {filename}: architecture={info.architecture}") + except Exception as e: + logger.warning(f" {filename}: failed to extract metadata: {e}") + + return results + + +def _map_core_fields(gguf_info: GGUFModelInfo) -> Dict[str, Any]: + """Map basic model identity and tokenizer fields.""" + metadata = {} + + if gguf_info.architecture: + metadata["model_type"] = gguf_info.architecture + metadata["typeOfModel"] = gguf_info.architecture + + if gguf_info.name: + metadata["name"] = gguf_info.name + + if gguf_info.tokenizer_model: + metadata["tokenizer_class"] = gguf_info.tokenizer_model + + if gguf_info.vocab_size: + metadata["vocab_size"] = gguf_info.vocab_size + + if gguf_info.context_length: + metadata["context_length"] = gguf_info.context_length + + metadata["gguf_filename"] = gguf_info.filename + + return metadata + + +def _map_supplementary_fields(gguf_info: GGUFModelInfo) -> Dict[str, Any]: + """Map optional descriptive fields from GGUF.""" + metadata = {} + + if gguf_info.description: + metadata["description"] = gguf_info.description + + if gguf_info.author: + metadata["suppliedBy"] = gguf_info.author + + if gguf_info.license: + metadata["gguf_license"] = gguf_info.license + + return metadata + + +def _map_quantization(gguf_info: GGUFModelInfo) -> Dict[str, Any]: + """Map quantization metadata.""" + quantization = {} + + if gguf_info.quantization_version: + quantization["version"] = gguf_info.quantization_version + if gguf_info.file_type: + quantization["file_type"] = gguf_info.file_type + + return {"quantization": quantization} if quantization else {} + + +def _map_hyperparameters(gguf_info: GGUFModelInfo) -> Dict[str, Any]: + """Map inference-shape hyperparameters.""" + hyperparams = {} + + if gguf_info.context_length: + hyperparams["context_length"] = gguf_info.context_length + if gguf_info.embedding_length: + hyperparams["embedding_length"] = gguf_info.embedding_length + if gguf_info.block_count: + hyperparams["block_count"] = gguf_info.block_count + if gguf_info.attention_head_count: + hyperparams["attention_head_count"] = gguf_info.attention_head_count + if gguf_info.attention_head_count_kv: + hyperparams["attention_head_count_kv"] = gguf_info.attention_head_count_kv + if gguf_info.feed_forward_length: + hyperparams["feed_forward_length"] = gguf_info.feed_forward_length + if gguf_info.rope_dimension_count: + hyperparams["rope_dimension_count"] = gguf_info.rope_dimension_count + + return {"hyperparameter": hyperparams} if hyperparams else {} + + +def map_to_metadata(gguf_info: GGUFModelInfo) -> Dict[str, Any]: + metadata = _map_core_fields(gguf_info) + metadata |= _map_supplementary_fields(gguf_info) + metadata |= _map_quantization(gguf_info) + metadata |= _map_hyperparameters(gguf_info) + # TODO: add chat template field mapping + return metadata diff --git a/src/models/model_file_extractors.py b/src/models/model_file_extractors.py new file mode 100644 index 0000000..48b321c --- /dev/null +++ b/src/models/model_file_extractors.py @@ -0,0 +1,44 @@ +import logging +from typing import Protocol, Dict, Any, List, runtime_checkable + +from .gguf_metadata import fetch_gguf_metadata_from_repo, map_to_metadata + +logger = logging.getLogger(__name__) + + +@runtime_checkable +class ModelFileExtractor(Protocol): + def can_extract(self, model_id: str) -> bool: ... + def extract_metadata(self, model_id: str) -> Dict[str, Any]: ... + + +class GGUFFileExtractor: + + def can_extract(self, model_id: str) -> bool: + try: + from huggingface_hub import list_repo_files + return any(f.endswith(".gguf") for f in list_repo_files(model_id)) + except Exception: + return False + + def extract_metadata(self, model_id: str) -> Dict[str, Any]: + from huggingface_hub import list_repo_files + + try: + files = list_repo_files(model_id) + gguf_files = [f for f in files if f.endswith(".gguf")] + if not gguf_files: + return {} + + model_info = fetch_gguf_metadata_from_repo(model_id, gguf_files[0]) + if model_info is None: + return {} + + return map_to_metadata(model_info) + except Exception as e: + logger.warning(f"GGUF extraction failed for {model_id}: {e}") + return {} + + +def default_extractors() -> List[ModelFileExtractor]: + return [GGUFFileExtractor()] diff --git a/src/models/registry.py b/src/models/registry.py index a577aff..d45d257 100644 --- a/src/models/registry.py +++ b/src/models/registry.py @@ -102,12 +102,18 @@ def generate_field_classification(self) -> Dict[str, Any]: for field_name, field_config in fields.items(): jsonpath = field_config.get("jsonpath", "") - param_type = "AI" if "properties[" in jsonpath else "CDX" + param_type = "AITX" if "properties[" in jsonpath else "CDX" + missing_msg = field_config.get("validation_message", {}).get("missing", "") + is_gguf = "GGUF" in missing_msg + classification[field_name] = { "tier": field_config.get("tier", "supplementary"), "weight": field_config.get("weight", 1), "category": field_config.get("category", "unknown"), - "parameter_type": param_type + "parameter_type": param_type, + "reference_urls": field_config.get("reference_urls", {}), + "jsonpath": jsonpath, + "is_gguf": is_gguf } self._field_classification = classification @@ -150,7 +156,7 @@ def generate_completeness_profiles(self) -> Dict[str, Any]: "description": "Extensive documentation for maximum transparency", "required_fields": ["bomFormat", "specVersion", "serialNumber", "version", "name", "downloadLocation", "primaryPurpose", "suppliedBy", - "type", "purl", "description", "licenses", "hyperparameter", "limitation", + "type", "purl", "description", "licenses", "hyperparameter", "technicalLimitations", "energyConsumption", "safetyRiskAssessment", "typeOfModel"], "minimum_score": 85 } diff --git a/src/models/scoring.py b/src/models/scoring.py index 76b1d9b..64516de 100644 --- a/src/models/scoring.py +++ b/src/models/scoring.py @@ -2,6 +2,7 @@ import logging import re import os +import json from typing import Dict, List, Optional, Any, Union from enum import Enum from .registry import get_field_registry_manager @@ -30,16 +31,44 @@ class ValidationSeverity(Enum): VALIDATION_MESSAGES = {} SCORING_WEIGHTS = {} +# Load SPDX licenses +try: + schema_path = os.path.join(os.path.dirname(os.path.dirname(__file__)), "schemas", "spdx.schema.json") + with open(schema_path, "r", encoding="utf-8") as f: + _spdx_schema = json.load(f) + SPDX_LICENSES = set(_spdx_schema.get("enum", [])) + logger.info(f"✅ SPDX licenses schema loaded: {len(SPDX_LICENSES)} licenses") +except Exception as e: + logger.error(f"❌ Failed to load SPDX schema: {e}") + SPDX_LICENSES = {"MIT", "Apache-2.0", "GPL-3.0-only", "GPL-2.0-only", "LGPL-3.0-only", + "BSD-3-Clause", "BSD-2-Clause", "CC-BY-4.0", "CC-BY-SA-4.0", "CC0-1.0", + "Unlicense", "NONE"} + +# Build JSON Schema Registry +JSON_SCHEMA_REGISTRY = None +try: + from referencing import Registry, Resource + registry = Registry() + schemas_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "schemas") + if os.path.exists(schemas_dir): + for filename in os.listdir(schemas_dir): + if filename.endswith(".json"): + with open(os.path.join(schemas_dir, filename), "r", encoding="utf-8") as schema_file: + schema_data = json.load(schema_file) + resource = Resource.from_contents(schema_data) + schema_id = schema_data.get("$id", "") + if schema_id: + registry = registry.with_resource(uri=schema_id, resource=resource) + registry = registry.with_resource(uri=filename, resource=resource) + JSON_SCHEMA_REGISTRY = registry + logger.info("✅ JSON Schema Registry loaded for local ref resolution") +except Exception as e: + logger.error(f"❌ Failed to build JSON Schema Registry: {e}") def validate_spdx(license_entry): - spdx_licenses = [ - "MIT", "Apache-2.0", "GPL-3.0-only", "GPL-2.0-only", "LGPL-3.0-only", - "BSD-3-Clause", "BSD-2-Clause", "CC-BY-4.0", "CC-BY-SA-4.0", "CC0-1.0", - "Unlicense", "NONE" - ] if isinstance(license_entry, list): - return all(lic in spdx_licenses for lic in license_entry) - return license_entry in spdx_licenses + return all(lic in SPDX_LICENSES for lic in license_entry) + return license_entry in SPDX_LICENSES def check_field_in_aibom(aibom: Dict[str, Any], field: str) -> bool: """ @@ -86,7 +115,7 @@ def check_field_in_aibom(aibom: Dict[str, Any], field: str) -> bool: if "considerations" in model_card: considerations = model_card["considerations"] field_mappings = { - "limitation": ["technicalLimitations", "limitations"], + "technicalLimitations": ["technicalLimitations", "limitations"], "safetyRiskAssessment": ["ethicalConsiderations", "safetyRiskAssessment"], "energyConsumption": ["environmentalConsiderations", "energyConsumption"] } @@ -243,32 +272,66 @@ def calculate_completeness_score(aibom: Dict[str, Any], validate: bool = True, e fields_by_category = {category: {"total": 0, "present": 0} for category in max_scores.keys()} field_checklist = {} field_types = {} + field_reference_urls = {} + category_fields_list = {category: [] for category in max_scores.keys()} # Evaluate fields for field, classification in FIELD_CLASSIFICATION.items(): tier = classification["tier"] category = classification["category"] + is_gguf = classification.get("is_gguf", False) + jsonpath = classification.get("jsonpath", "") # Ensure category exists in tracking, else fallback or skip? # Ideally FIELD_CLASSIFICATION only contains known categories. if category not in fields_by_category: fields_by_category[category] = {"total": 0, "present": 0} - # Note: if it's a new category not in max_scores, it won't contribute to score unless we adjust max_scores - - fields_by_category[category]["total"] += 1 + category_fields_list[category] = [] is_present = check_field_with_enhanced_results(aibom, field, extraction_results) + if not is_gguf or is_present: + fields_by_category[category]["total"] += 1 + + display_path = jsonpath.replace("$.components[0].", "") + if display_path.startswith("$."): display_path = display_path[2:] + + tier_display = {"critical": "Critical", "important": "Important", "supplementary": "Supplementary"}.get(tier, "Unknown") + + category_fields_list[category].append({ + "name": field, + "tier": tier_display, + "path": display_path + }) + if is_present: fields_by_category[category]["present"] += 1 else: - if tier in missing_fields: - missing_fields[tier].append(field) + if not is_gguf: + if tier in missing_fields: + missing_fields[tier].append(field) importance_indicator = "★★★" if tier == "critical" else "★★" if tier == "important" else "★" field_checklist[field] = f"{'✔' if is_present else '✘'} {importance_indicator}" field_types[field] = classification.get("parameter_type", "CDX") - + ref_urls = classification.get("reference_urls", {}) + selected_url = "" + if isinstance(ref_urls, dict): + spec_version = aibom.get("specVersion", "1.6") + if spec_version == "1.7" and "cyclonedx_1.7" in ref_urls: + selected_url = ref_urls["cyclonedx_1.7"] + elif "cyclonedx_1.6" in ref_urls: + selected_url = ref_urls["cyclonedx_1.6"] + if spec_version == "1.7" and "cyclonedx.org/docs/1.6" in selected_url: + selected_url = selected_url.replace("1.6", "1.7") + elif "genai_aibom_taxonomy" in ref_urls: + selected_url = ref_urls["genai_aibom_taxonomy"] + elif "spdx_3.1" in ref_urls: + selected_url = ref_urls["spdx_3.1"] + elif isinstance(ref_urls, str): + selected_url = ref_urls + + field_reference_urls[field] = selected_url # Calculate category scores category_details = {} category_scores = {} @@ -322,7 +385,9 @@ def calculate_completeness_score(aibom: Dict[str, Any], validate: bool = True, e "max_scores": max_scores, "field_checklist": field_checklist, "field_types": field_types, + "reference_urls": field_reference_urls, "missing_fields": missing_fields, + "category_fields_list": category_fields_list, "completeness_profile": determine_completeness_profile(aibom, final_score), "penalty_applied": penalty_factor < 1.0, "penalty_reason": " and ".join(penalty_reasons) if penalty_reasons else None, @@ -363,9 +428,12 @@ def validate_aibom(aibom: Dict[str, Any]) -> Dict[str, Any]: schema_path = os.path.join(os.path.dirname(__file__), '..', 'schemas', schema_file) if os.path.exists(schema_path): - with open(schema_path, 'r') as f: + with open(schema_path, 'r', encoding="utf-8") as f: schema = json.load(f) - jsonschema.validate(instance=aibom, schema=schema) + if JSON_SCHEMA_REGISTRY is not None: + jsonschema.validate(instance=aibom, schema=schema, registry=JSON_SCHEMA_REGISTRY) + else: + jsonschema.validate(instance=aibom, schema=schema) else: # If schema missing, warn but don't fail hard issues.append({"severity": "warning", "message": f"Schema file not found: {schema_file}, skipping strict validation."}) diff --git a/src/models/service.py b/src/models/service.py index d9c8d17..02781ed 100644 --- a/src/models/service.py +++ b/src/models/service.py @@ -12,6 +12,7 @@ from huggingface_hub.repocard_data import EvalResult from .extractor import EnhancedExtractor +from .model_file_extractors import ModelFileExtractor, default_extractors from .scoring import calculate_completeness_score from .registry import get_field_registry_manager from .schemas import AIBOMResponse, EnhancementReport @@ -33,6 +34,7 @@ def __init__( inference_model_url: Optional[str] = None, use_inference: bool = True, use_best_practices: bool = True, + model_file_extractors: Optional[List[ModelFileExtractor]] = None, ): self.hf_api = HfApi(token=hf_token) self.inference_model_url = inference_model_url @@ -40,6 +42,10 @@ def __init__( self.use_best_practices = use_best_practices self.enhancement_report = None self.extraction_results = {} + self.model_file_extractors = ( + model_file_extractors if model_file_extractors is not None + else default_extractors() + ) # Initialize registry manager try: @@ -139,7 +145,7 @@ def generate_aibom( def _extract_metadata(self, model_id: str, model_info: Dict[str, Any], model_card: Optional[ModelCard], enable_summarization: bool = False) -> Dict[str, Any]: """Wrapper around EnhancedExtractor""" - extractor = EnhancedExtractor(self.hf_api) # Pass hfapi instance + extractor = EnhancedExtractor(self.hf_api, model_file_extractors=self.model_file_extractors) # Ideally we reuse the registry manager if self.registry_manager: extractor.registry_manager = self.registry_manager @@ -476,12 +482,12 @@ def _process_authors_and_suppliers(self, metadata: Dict[str, Any], group: str) - return authors, manufacturer, supplier def _process_technical_properties(self, metadata: Dict[str, Any]) -> List[Dict[str, Any]]: - """Extract technical properties from metadata.""" tech_props = [] - for field in ["model_type", "tokenizer_class", "architectures", "library_name"]: + for field in ["model_type", "architectures", "library_name"]: if field in metadata: val = metadata[field] - if isinstance(val, list): val = ", ".join(val) + if isinstance(val, list): + val = ", ".join(val) tech_props.append({"name": field, "value": str(val)}) return tech_props @@ -607,9 +613,9 @@ def _create_model_card_section(self, metadata: Dict[str, Any]) -> Dict[str, Any] # intendedUse -> useCases if "intendedUse" in metadata: considerations["useCases"] = [metadata["intendedUse"]] - # limitations -> technicalLimitations - if "limitations" in metadata: - considerations["technicalLimitations"] = [metadata["limitations"]] + # technicalLimitations + if "technicalLimitations" in metadata: + considerations["technicalLimitations"] = [metadata["technicalLimitations"]] # ethicalConsiderations if "ethicalConsiderations" in metadata: considerations["ethicalConsiderations"] = [{"name": "Ethical Considerations", "description": metadata["ethicalConsiderations"]}] @@ -617,16 +623,53 @@ def _create_model_card_section(self, metadata: Dict[str, Any]) -> Dict[str, Any] if considerations: section["considerations"] = considerations - # 4. Properties (Generic Bag for leftovers) + # 4. Properties (GGUF & Taxonomy + Leftovers) props = [] - # Fields we've already mapped to structured homes + + taxonomy_modelcard_mapping = { + "hyperparameter": "hyperparameter", + "vocab_size": "vocabSize", + "tokenizer_class": "tokenizerClass", + "context_length": "contextLength", + "embedding_length": "embeddingLength", + "block_count": "blockCount", + "attention_head_count": "attentionHeadCount", + "attention_head_count_kv": "attentionHeadCountKV", + "feed_forward_length": "feedForwardLength", + "rope_dimension_count": "ropeDimensionCount", + "quantization_version": "quantizationVersion", + "quantization_file_type": "quantizationFileType", + "modelExplainability": "modelCardExplainability" + } + + taxonomy_mapped_keys = list(taxonomy_modelcard_mapping.keys()) + + for p_key, p_name in taxonomy_modelcard_mapping.items(): + if p_key in metadata: + val = metadata[p_key] + if p_key == "hyperparameter" and isinstance(val, dict): + props.append({"name": f"genai:aibom:modelcard:{p_name}", "value": json.dumps(val)}) + elif val is not None: + props.append({"name": f"genai:aibom:modelcard:{p_name}", "value": str(val)}) + + # Quantization dict handling + if "quantization" in metadata and isinstance(metadata["quantization"], dict): + q_dict = metadata["quantization"] + if "version" in q_dict: + props.append({"name": "genai:aibom:modelcard:quantizationVersion", "value": str(q_dict["version"])}) + if "file_type" in q_dict: + props.append({"name": "genai:aibom:modelcard:quantizationFileType", "value": str(q_dict["file_type"])}) + taxonomy_mapped_keys.append("quantization") + + # Basic Fields we've already mapped to structured homes mapped_fields = [ - "primaryPurpose", "typeOfModel", "suppliedBy", "intendedUse", - "limitations", "ethicalConsiderations", "datasets", "eval_results", - "pipeline_tag", "name", "author", "license", "description", - "commit", "bomFormat", "specVersion", "version", "licenses", - "external_references", "tags", "library_name", "paper", "downloadLocation" - ] + "primaryPurpose", "typeOfModel", "suppliedBy", "intendedUse", + "technicalLimitations", "ethicalConsiderations", "datasets", "eval_results", + "pipeline_tag", "name", "author", "license", "description", + "commit", "bomFormat", "specVersion", "version", "licenses", + "external_references", "tags", "library_name", "paper", "downloadLocation", + "gguf_filename", "gguf_license", "model_type", "architectures" + ] + taxonomy_mapped_keys for k, v in metadata.items(): if k not in mapped_fields and v is not None: diff --git a/src/static/css/style.css b/src/static/css/style.css index e7a9efe..fda98fc 100644 --- a/src/static/css/style.css +++ b/src/static/css/style.css @@ -71,6 +71,7 @@ a:hover { /* Header */ .header { + position: relative; background-color: #ffffff; padding: 15px 20px; border-bottom: 1px solid #e9ecef; @@ -92,6 +93,9 @@ a:hover { } .header-content { + position: absolute; + left: 50%; + transform: translateX(-50%); display: flex; flex-direction: column; } @@ -172,20 +176,30 @@ button:disabled { } .generate-another-btn { - padding: 12px 20px; - background-color: #3498db; - color: white; - text-decoration: none; - border-radius: 6px; - font-weight: 500; - font-size: 15px; - transition: background-color 0.3s; + display: inline-flex; + align-items: center; + justify-content: center; + padding: 0 16px; + height: 38px; + background: linear-gradient(135deg, rgb(66, 92, 187), rgb(116, 142, 237)); + color: #ffffff !important; + font-weight: 600; + border-radius: 19px; + font-size: 14px; + transition: all 0.3s ease; + text-decoration: none !important; + gap: 8px; + font-family: inherit; + cursor: pointer; + border: none; + box-shadow: 0 2px 4px rgba(66, 92, 187, 0.3); } .generate-another-btn:hover { - background-color: #2980b9; - color: white; - text-decoration: none; + background: linear-gradient(135deg, rgb(86, 112, 207), rgb(136, 162, 255)); + color: #ffffff !important; + transform: translateY(-2px); + box-shadow: 0 4px 8px rgba(66, 92, 187, 0.4); } /* Content Sections */ @@ -197,6 +211,10 @@ button:disabled { box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); } +.content-section:last-child { + margin-bottom: 0; +} + .content-section h2 { color: #2c3e50; margin-top: 0; @@ -294,6 +312,10 @@ input[type="text"]:focus { box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); } +.aibom-section:last-child { + margin-bottom: 0; +} + .aibom-section h4 { margin-top: 0; color: #2c3e50; @@ -308,6 +330,10 @@ input[type="text"]:focus { margin: 10px 0; } +.aibom-property:last-child { + margin-bottom: 0; +} + .property-name { font-weight: bold; width: 200px; @@ -408,6 +434,12 @@ input[type="text"]:focus { border-radius: 8px; } +.key-info h3, +.completeness-profile h3 { + margin-top: 0; + margin-bottom: 15px; +} + /* Tables & Scoring */ table { border-collapse: collapse; @@ -506,6 +538,22 @@ th { background-color: #f44336; } +.progress-excellent-border { + border-left-color: #4CAF50 !important; +} + +.progress-good-border { + border-left-color: #2196F3 !important; +} + +.progress-fair-border { + border-left-color: #FF9800 !important; +} + +.progress-poor-border { + border-left-color: #f44336 !important; +} + .score-table { width: 100%; margin-bottom: 20px; @@ -724,56 +772,78 @@ th { color: #555; } -/* Footer Styles */ -.footer-wrapper { - background-color: transparent; - padding: 30px 20px 20px; - margin-top: 40px; - border-top: 1px solid #e9ecef; +/* Modern Footer Styles */ +.footer-modern { + background-color: #1e293b; + color: #e2e8f0; + padding: 25px 30px 15px; + margin-top: 20px; + border-radius: 8px; + box-shadow: 0 -4px 6px -1px rgba(0, 0, 0, 0.1); + font-family: 'Inter', -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif; + width: 100%; + box-sizing: border-box; + margin-bottom: 25px; } -.footer-widgets { +.footer-modern-container { display: flex; justify-content: space-between; flex-wrap: wrap; gap: 30px; - max-width: 1000px; margin: 0 auto; text-align: left; } -.footer-widget { +.footer-modern-col { flex: 1; min-width: 200px; } -.footer-widget h4 { - font-size: 16px; - color: #2c3e50; - margin-top: 0; - margin-bottom: 20px; +.brand-col { + flex: 0 0 160px; + /* Takes up less space to bring Support closer */ +} + +.help-col, +.share-col { + padding-top: 8px; + /* Pushes content down slightly to align with GenAI logo */ + display: flex; + flex-direction: column; +} + +.footer-modern-col h4 { + color: #f8fafc; + font-family: 'Poppins', sans-serif; + font-size: 20px; font-weight: 600; + margin-top: 0; + margin-bottom: 12px; + letter-spacing: 0.5px; + display: flex; + align-items: center; + gap: 8px; } -.footer-widget p { - font-size: 13px; - color: #555; - line-height: 1.6; - margin-bottom: 10px; +.footer-modern-col p { + font-size: 14px; + line-height: 1.7; + color: #cbd5e1; + margin-bottom: 12px; } -.footer-widget a { - color: #333; +.footer-modern-col a { + color: #cbd5e1; text-decoration: none; - transition: color 0.3s; + transition: all 0.2s ease; } -.footer-widget a:hover { - color: #3498db; - text-decoration: underline; +.footer-modern-col a:hover { + color: #38bdf8; } -.footer-links { +.footer-modern-col ul { list-style: none; padding: 0; margin: 0; @@ -781,54 +851,97 @@ th { flex-direction: column; } -.footer-links li { +.footer-modern-col ul li { margin-bottom: 12px; } -.footer-links a { - color: #333; - text-decoration: none; +.footer-modern-col ul a { font-size: 14px; font-weight: 500; } -.footer-links a:hover { - color: #3498db; - text-decoration: underline; +.footer-modern-col img { + filter: brightness(0) invert(1); + opacity: 0.9; + margin-bottom: 15px; + transition: opacity 0.2s; } -.social-share-btn-footer { - display: inline-block; - padding: 8px 15px !important; - background-color: transparent !important; - color: #333 !important; +.footer-modern-col img:hover { + opacity: 1; +} + +.footer-social-icons { + display: flex; + gap: 15px; + margin-top: 5px; +} + +.footer-social-icons a { + display: flex; + align-items: center; + justify-content: center; + width: 36px; + height: 36px; + border-radius: 50%; + background: linear-gradient(135deg, #334155, #475569); + color: #ffffff; + transition: all 0.3s ease; + box-shadow: 0 2px 4px rgba(51, 65, 85, 0.3); +} + +.footer-social-icons a:hover { + background: linear-gradient(135deg, #475569, #64748b); + color: #ffffff; + transform: translateY(-2px); + box-shadow: 0 4px 8px rgba(51, 65, 85, 0.4); +} + +.footer-btn-share { + display: inline-flex; + align-items: center; + justify-content: center; + padding: 0 16px; + height: 36px; + background: linear-gradient(135deg, #334155, #475569); + color: #ffffff !important; font-weight: 500; - text-decoration: none !important; - border: 1px solid #ccc; - border-radius: 4px; + border-radius: 18px; font-size: 14px; - margin-bottom: 15px; - margin-top: 5px; - transition: background-color 0.3s, color 0.3s; + margin-top: auto; + align-self: flex-end; + margin-right: 15px; + transition: all 0.3s ease; + text-decoration: none !important; + gap: 8px; + font-family: inherit; + cursor: pointer; + border: none; + box-shadow: 0 2px 4px rgba(51, 65, 85, 0.3); } -.social-share-btn-footer:hover { - background-color: #0077b5 !important; - color: white !important; - border-color: #0077b5; +.footer-btn-share:hover { + background: linear-gradient(135deg, #475569, #64748b); + color: #ffffff !important; + transform: translateY(-2px); + box-shadow: 0 4px 8px rgba(51, 65, 85, 0.4); } -.footer-bottom { +.footer-modern-bottom { text-align: center; - padding-top: 20px; - margin-top: 40px; - color: #7f8c8d; - font-size: 14px; - max-width: 1000px; + padding-top: 10px; + margin-top: 15px; + border-top: 1px solid #334155; + color: #94a3b8; + font-size: 13px; margin-left: auto; margin-right: auto; } +.footer-modern-bottom p { + margin: 5px 0 0 0; +} + /* Mobile Responsiveness */ @media (max-width: 768px) { .container { @@ -903,14 +1016,52 @@ th { } .download-section { - margin: 20px 0; + background-color: #e8f5e9; + border-left: 4px solid #83af84; + padding: 20px; + margin-bottom: 20px; + border-radius: 8px; display: flex; + justify-content: space-between; align-items: center; + flex-wrap: wrap; + gap: 15px; } -.download-section p { +.download-section h3 { margin: 0; - margin-right: 15px; +} + +.download-buttons { + display: flex; + gap: 15px; +} + +.download-buttons button { + display: inline-flex; + align-items: center; + justify-content: center; + padding: 0 14px; + height: 32px; + background-color: #64748b; + color: #ffffff !important; + font-weight: 600; + border-radius: 16px; + font-size: 13px; + transition: all 0.3s ease; + text-decoration: none !important; + gap: 8px; + font-family: inherit; + cursor: pointer; + border: none; + box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1); +} + +.download-buttons button:hover { + background-color: #94a3b8; + color: #ffffff !important; + transform: translateY(-2px); + box-shadow: 0 4px 8px rgba(0, 0, 0, 0.15); } .completeness-profile { @@ -922,16 +1073,23 @@ th { } .profile-badge { - display: inline-block; - padding: 5px 12px; - border-radius: 20px; + display: inline-flex; + align-items: center; + justify-content: center; + height: 32px; + padding: 0 14px; + border-radius: 16px; color: white; - font-weight: bold; + font-weight: 600; + font-size: 14px; margin-right: 10px; + box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1); + box-sizing: border-box; } .profile-basic { - background-color: #ff9800; + background: linear-gradient(135deg, rgb(255, 140, 0), rgb(255, 180, 50)); + box-shadow: 0 2px 4px rgba(255, 140, 0, 0.3); } .profile-standard { diff --git a/src/static/images/cdx.webp b/src/static/images/cdx.webp new file mode 100644 index 0000000..499f045 Binary files /dev/null and b/src/static/images/cdx.webp differ diff --git a/src/static/js/script.js b/src/static/js/script.js index 9616bd8..ac14b6c 100644 --- a/src/static/js/script.js +++ b/src/static/js/script.js @@ -1,40 +1,5 @@ // OWASP AIBOM Generator - Common Scripts -/* === reCAPTCHA Handling (Index Page) === */ -function onSubmit(token) { - if (!token) { - console.error("reCAPTCHA token is missing."); - return; - } - - console.log("reCAPTCHA callback executed with token."); - - // Set the token in the hidden input - var tokenInput = document.getElementById('g-recaptcha-response'); - if (tokenInput) { - tokenInput.value = token; - console.log("Token set in input."); - } else { - console.error("g-recaptcha-response input not found."); - return; - } - - // Disable button and change text - var button = document.getElementById('generate-button'); - if (button) { - button.disabled = true; - button.textContent = 'Generating...'; - } - - // Submit the form - console.log("Submitting form"); - var form = document.getElementById('sbom-form'); - if (form) { - form.submit(); - } else { - console.error("Form sbom-form not found."); - } -} // Add Enter key support for form submission (Index Page) document.addEventListener('DOMContentLoaded', function () { diff --git a/src/templates/error.html b/src/templates/error.html index e731b33..257dc7d 100644 --- a/src/templates/error.html +++ b/src/templates/error.html @@ -13,23 +13,11 @@
-
-
- - OWASP GenAI Security Project logo - -
-

AIBOM Generator

-
-
-
- 🚀 Generate Another AIBOM -
-
+ {% include 'includes/header.html' %}
-

❌ Error Generating AIBOM

+

❌  Error Generating AIBOM

@@ -47,71 +35,15 @@

What Happened?

-

💡 Common Solutions

+

💡  Common Solutions

Model not found: Check that the model ID follows owner/model-name format and exists on Hugging Face.

Access issues: Some models require an access token or may be private.

Temporary issues: Try again if there were connectivity or Hugging Face API hiccups.

- -
-
- -
- - - OWASP GenAI Security Project logo - -

OWASP GenAI - Security Project

-

Follow us for updates:
- @OWASP GenAI Security - Project - AIBOM Initiative -

-
- - -
-

OWASP GenAI

- -
- - -
-

🛠️ Need Help or Found an Issue?

-

If you encountered any problems, found a bug, or have suggestions for - improvement, we'd love to hear from you!

-
- - -
-

🗣️ Help Us Spread the Word

-

If you find this tool useful, share it with your network!
https://genai.owasp.org/

- -
-
- -
-
🚀 Generated AIBOMs using this tool: - {{ sbom_count if sbom_count else 'N/A' }} -
-

© 2026 OWASP GenAI Security Project - AIBOM Initiative

-
-
+ + {% include 'includes/footer.html' %}
diff --git a/src/templates/includes/footer.html b/src/templates/includes/footer.html new file mode 100644 index 0000000..8443919 --- /dev/null +++ b/src/templates/includes/footer.html @@ -0,0 +1,85 @@ + \ No newline at end of file diff --git a/src/templates/includes/header.html b/src/templates/includes/header.html new file mode 100644 index 0000000..ed16d02 --- /dev/null +++ b/src/templates/includes/header.html @@ -0,0 +1,28 @@ +
+
+ + OWASP GenAI Security Project logo + +
+
+

AIBOM Generator

+
+ {% if not hide_generate_another %} +
+ + + + + + + + + + Generate Another AIBOM + +
+ {% endif %} +
\ No newline at end of file diff --git a/src/templates/index.html b/src/templates/index.html index 04f1605..6253b74 100644 --- a/src/templates/index.html +++ b/src/templates/index.html @@ -5,22 +5,14 @@ AIBOM Generator - - - +
-
-
- - OWASP GenAI Security Project logo - -

AIBOM Generator

-
-
+ {% set hide_generate_another = true %} + {% include 'includes/header.html' %}
@@ -38,24 +30,11 @@

Generate AIBOM

style="display: flex; flex-direction: row; align-items: center; width: 100%;"> - - {% if recaptcha_site_key %} - - {% else %} - {% endif %} - {% if recaptcha_site_key %} -
- This site is protected by reCAPTCHA and the Google - Privacy Policy and - Terms of Service apply. -
- {% endif %} +
@@ -86,64 +65,8 @@

Understanding AIBOMs

and deployed.

- -
-
- -
- - - OWASP GenAI Security Project logo - -

OWASP GenAI - Security Project

-

Follow us for updates:
- @OWASP GenAI Security - Project - AIBOM Initiative -

-
- - -
-

OWASP GenAI

- -
- - -
-

🛠️ Need Help or Found an Issue?

-

If you encountered any problems, found a bug, or have suggestions for - improvement, we'd love to hear from you!

-
- - -
-

🗣️ Help Us Spread the Word

-

If you find this tool useful, share it with your network!
https://genai.owasp.org/

- -
-
- -
-
🚀 Generated AIBOMs using this tool: - {{ sbom_count if sbom_count else 'N/A' }} -
-

© 2026 OWASP GenAI Security Project - AIBOM Initiative

-
-
+ + {% include 'includes/footer.html' %} diff --git a/src/templates/result.html b/src/templates/result.html index c88873c..fddf4e3 100644 --- a/src/templates/result.html +++ b/src/templates/result.html @@ -5,37 +5,23 @@ AIBOM Generated - +
-
-
- - OWASP GenAI Security Project logo - -
-

AIBOM Generator

-
-
-
- - 🚀 Generate Another AIBOM -
-
+ {% include 'includes/header.html' %}
-

📋 AIBOM Summary

+

📋  AIBOM Summary

Model: {{ model_id @@ -47,8 +33,12 @@

📋 AIBOM Summary

SBOM Format: - {{ aibom.bomFormat }} {{ aibom.specVersion }} + + {{ + aibom.bomFormat }} {{ aibom.specVersion }}, + {{ + aibom.bomFormat }} 1.7 +
Serial Number: @@ -56,24 +46,57 @@

📋 AIBOM Summary

- -
-

Download your AIBOM:

- -
+ + {% set score_percent = (completeness_score.total_score if completeness_score.total_score != 'Undefined' else 0) + | float %} + {% if score_percent >= 90 %} + {% set score_class = 'progress-excellent' %} + {% set score_label = 'Excellent' %} + {% elif score_percent >= 70 %} + {% set score_class = 'progress-good' %} + {% set score_label = 'Good' %} + {% elif score_percent >= 50 %} + {% set score_class = 'progress-fair' %} + {% set score_label = 'Fair' %} + {% else %} + {% set score_class = 'progress-poor' %} + {% set score_label = 'Poor' %} + {% endif %} - - {% if completeness_score.completeness_profile %} -
-

📊 Completeness Assessment

-
- - {{ completeness_score.completeness_profile.name }} - - {{ completeness_score.completeness_profile.description }} + +
+
+ {% if completeness_score.completeness_profile %} +

📊  Completeness Assessment

+
+ + {{ completeness_score.completeness_profile.name }} + + {{ completeness_score.completeness_profile.description }} +
+ {% endif %} +
+ +
+
+

💾  Download your AIBOM

+
+ + +
+
- {% endif %}
@@ -87,7 +110,7 @@

📊 Completeness Assessment

-

🤖 AI Model Information

+

🤖  AI Model Information

Name: @@ -135,7 +158,7 @@

🤖 AI Model Information

{% if aibom.components and aibom.components[0].modelCard %}
-

📊 Model Card

+

📊  Model Card

{% if aibom.components[0].modelCard.modelParameters %}
Architecture: @@ -160,12 +183,43 @@

📊 Model Card

{% endif %} + {% set hp_props = [] %} + {% set quant_props = [] %} + {% if aibom.components[0].properties %} + {% for prop in aibom.components[0].properties %} + {% if prop.name.startswith('hyperparameter:') %}{% if hp_props.append(prop) %}{% endif %}{% endif %} + {% if prop.name.startswith('quantization:') %}{% if quant_props.append(prop) %}{% endif %}{% endif + %} + {% endfor %} + {% endif %} + {% if hp_props %} +
+ Hyperparameters: + + {% for prop in hp_props %} + {{ prop.name.split(':')[1] | replace('_', ' ') | title }}: {{ prop.value + }} + {% endfor %} + +
+ {% endif %} + {% if quant_props %} +
+ Quantization: + + {% for prop in quant_props %} + {{ prop.name.split(':')[1] | replace('_', ' ') | title }}: {{ prop.value + }} + {% endfor %} + +
+ {% endif %}
{% endif %} {% if aibom.externalReferences %}
-

🔗 External References

+

🔗  External References

{% for ref in aibom.externalReferences %}
{{ ref.type|title }}: @@ -176,7 +230,7 @@

🔗 External References

{% endif %}
-

🛠️ Generation Metadata

+

🛠️  Generation Metadata

Generated by: {{ aibom.metadata.tools.components[0].name if aibom.metadata.tools @@ -186,9 +240,15 @@

🛠️ Generation Metadata

Timestamp: {{ aibom.metadata.timestamp }}
- {% if aibom.metadata.component %} + {% if aibom.components and aibom.components[0].purl %}
- Component Ref: + Component PURL: + {{ + aibom.components[0].purl }} +
+ {% elif aibom.metadata.component %} +
+ Component PURL: {{ aibom.metadata.component['bom-ref'] }}
{% endif %} @@ -261,7 +321,16 @@

Required Fields Category

{% endif %} Critical - {{ completeness_score.field_types.get(field, 'Unknown') }} + + {% set f_type = completeness_score.field_types.get(field, 'Unknown') %} + {% set f_url = completeness_score.reference_urls.get(field, '') if + completeness_score.reference_urls else '' %} + {% if f_url %} + {{ f_type }} + {% else %} + {{ f_type }} + {% endif %} + {% endfor %} @@ -322,8 +391,17 @@

Metadata Category

Not found {% endif %} - {{ tier }} - {{ completeness_score.field_types.get(field, 'Unknown') }} + {{ tier }} + + {% set f_type = completeness_score.field_types.get(field, 'Unknown') %} + {% set f_url = completeness_score.reference_urls.get(field, '') if + completeness_score.reference_urls else '' %} + {% if f_url %} + {{ f_type }} + {% else %} + {{ f_type }} + {% endif %} + {% endfor %} @@ -388,8 +466,17 @@

Component Basic Category

{% endif %} {% endif %} - {{ tier }} - {{ completeness_score.field_types.get(field, 'Unknown') }} + {{ tier }} + + {% set f_type = completeness_score.field_types.get(field, 'Unknown') %} + {% set f_url = completeness_score.reference_urls.get(field, '') if + completeness_score.reference_urls else '' %} + {% if f_url %} + {{ f_type }} + {% else %} + {{ f_type }} + {% endif %} + {% endfor %} @@ -420,23 +507,11 @@

Component Model Card Category

- {% set model_card_fields = [ - ('energyConsumption', 'Important'), - ('hyperparameter', 'Important'), - ('limitation', 'Important'), - ('safetyRiskAssessment', 'Important'), - ('typeOfModel', 'Important'), - ('modelExplainability', 'Supplementary'), - ('energyQuantity', 'Supplementary'), - ('energyUnit', 'Supplementary'), - ('informationAboutTraining', 'Supplementary'), - ('informationAboutApplication', 'Supplementary'), - ('metric', 'Supplementary'), - ('metricDecisionThreshold', 'Supplementary'), - ('modelDataPreprocessing', 'Supplementary'), - ('useSensitivePersonalInformation', 'Supplementary') - ] %} - {% for field, tier in model_card_fields %} + {% set model_card_fields = completeness_score.category_fields_list.component_model_card + if completeness_score and completeness_score.category_fields_list else [] %} + {% for field_item in model_card_fields %} + {% set field = field_item.name %} + {% set tier = field_item.tier %} {% if completeness_score.field_checklist.get(field, '').startswith('✔') %} @@ -448,22 +523,22 @@

Component Model Card Category

{{ field }} {% if completeness_score.field_checklist.get(field, '').startswith('✔') %} - {% if field == 'typeOfModel' %} - $.components[0].modelCard.modelParameters.modelArchitecture - {% elif field in ['safetyRiskAssessment', 'modelExplainability', - 'energyConsumption', 'energyQuantity', 'energyUnit', 'hyperparameter'] %} - $.components[0].modelCard.properties[name="{{ field }}"] - {% elif field == 'limitation' %} - $.components[0].modelCard.considerations.technicalLimitations + {{ field_item.path }} {% else %} - $.components[0].modelCard.{{ field }} + Not found {% endif %} + + {{ tier }} + + {% set f_type = completeness_score.field_types.get(field, 'Unknown') %} + {% set f_url = completeness_score.reference_urls.get(field, '') if + completeness_score.reference_urls else '' %} + {% if f_url %} + {{ f_type }} {% else %} - Not found + {{ f_type }} {% endif %} - {{ tier }} - {{ completeness_score.field_types.get(field, 'Unknown') }} {% endfor %} @@ -494,12 +569,11 @@

External References Category

- {% set external_ref_fields = [ - ('downloadLocation', 'Critical'), - ('vcs', 'Supplementary'), - ('website', 'Supplementary') - ] %} - {% for field, tier in external_ref_fields %} + {% set external_ref_fields = completeness_score.category_fields_list.external_references + if completeness_score and completeness_score.category_fields_list else [] %} + {% for field_item in external_ref_fields %} + {% set field = field_item.name %} + {% set tier = field_item.tier %} {% if completeness_score.field_checklist.get(field, '').startswith('✔') %} @@ -511,19 +585,22 @@

External References Category

{{ field }} {% if completeness_score.field_checklist.get(field, '').startswith('✔') %} - {% if field == 'downloadLocation' %} - $.externalReferences[type="distribution"] - {% elif field == 'vcs' %} - $.externalReferences[type="vcs"] - {% elif field == 'website' %} - $.externalReferences[type="website"] - {% endif %} + {{ field_item.path }} {% else %} Not found {% endif %} - {{ tier }} - {{ completeness_score.field_types.get(field, 'Unknown') }} + {{ tier }} + + {% set f_type = completeness_score.field_types.get(field, 'Unknown') %} + {% set f_url = completeness_score.reference_urls.get(field, '') if + completeness_score.reference_urls else '' %} + {% if f_url %} + {{ f_type }} + {% else %} + {{ f_type }} + {% endif %} + {% endfor %} @@ -549,7 +626,7 @@

External References Category

-

📊 Completeness Score Report

+

📊  Completeness Score Report

@@ -557,22 +634,6 @@

📊 Completeness Score Report

"Undefined" else 0)|round(1) }}/100
- {% set score_percent = (completeness_score.total_score if completeness_score.total_score - != 'Undefined' else 0) | float %} - {% if score_percent >= 90 %} - {% set score_class = 'progress-excellent' %} - {% set score_label = 'Excellent' %} - {% elif score_percent >= 70 %} - {% set score_class = 'progress-good' %} - {% set score_label = 'Good' %} - {% elif score_percent >= 50 %} - {% set score_class = 'progress-fair' %} - {% set score_label = 'Fair' %} - {% else %} - {% set score_class = 'progress-poor' %} - {% set score_label = 'Poor' %} - {% endif %} -
{{ score_percent|int }}% {{ score_label }} @@ -761,71 +822,21 @@

Penalty Structure:

-

📄 Raw JSON View

+

📄  Raw JSON View

This is the complete AIBOM components array in CycloneDX JSON format:

{{ components_json }}
-
- - -
-
- -
- - - OWASP GenAI Security Project logo - -

Follow us for updates:
- @OWASP GenAI Security Project - AIBOM Initiative -

-
- - -
-

OWASP GenAI

- -
- -
-

🛠️ Need Help or Found an Issue?

-

If you encountered any problems, found a bug, or have suggestions for - improvement, we'd love to hear from you!

-
- - -
-

🗣️ Help Us Spread the Word

-

If you find this tool useful, share it with your network!

- -
-
- -
-
🚀 Generated AIBOMs using this tool: - {{ sbom_count if sbom_count else 'N/A' }} -
-

© 2026 OWASP GenAI Security Project - AIBOM Initiative

-
-
+ + {% include 'includes/footer.html' %}
diff --git a/src/utils/formatter.py b/src/utils/formatter.py new file mode 100644 index 0000000..c170924 --- /dev/null +++ b/src/utils/formatter.py @@ -0,0 +1,25 @@ +import json +import copy +from typing import Dict, Any + +def export_aibom(aibom: Dict[str, Any], bom_type: str = "cyclonedx", spec_version: str = "1.6") -> str: + """ + Exports the internal AIBOM object into a specified format and specification version. + Returns the generated SBOM as a formatted JSON string. + """ + # Create a deep copy to avoid modifying the original unified object + output = copy.deepcopy(aibom) + + if bom_type.lower() == "cyclonedx": + output["bomFormat"] = "CycloneDX" + output["specVersion"] = spec_version + # Any specific CycloneDX mappings or adjustments can be placed here over time. + + elif bom_type.lower() == "spdx": + # Placeholder for future SPDX generation logic + output["bomFormat"] = "SPDX" + output["specVersion"] = spec_version + # Since spdx mapping logic to AIBOM isn't fully built yet, this serves as the routing hook + pass + + return json.dumps(output, indent=2) diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..f1d150f --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,88 @@ +import pytest + +from src.models.extractor import EnhancedExtractor +from src.models.service import AIBOMService + + +SAMPLE_GGUF_METADATA = { + "hyperparameter": { + "context_length": 4096, + "embedding_length": 4096, + "block_count": 32, + "attention_head_count": 32, + "attention_head_count_kv": 8, + }, + "model_type": "llama", + "typeOfModel": "llama", + "quantization": {"version": 2, "file_type": "Q4_0"}, + "context_length": 4096, + "vocab_size": 32000, + "tokenizer_class": "gpt2", + "gguf_filename": "model.gguf", +} + + +STUB_CONFIG = {"model_type": "llama", "architectures": ["LlamaForCausalLM"]} + + +@pytest.fixture +def model_id(): + return "test-owner/test-model" + + +@pytest.fixture +def model_info(): + return { + "id": "test-owner/test-model", + "modelId": "test-owner/test-model", + "pipeline_tag": "text-generation", + "tags": ["llama"], + "library_name": "transformers", + } + + +@pytest.fixture +def model_card(): + return None + + +@pytest.fixture +def patch_extractor_io(monkeypatch): + def fake_download(self, model_id, filename, **kw): + if filename == "config.json": + return STUB_CONFIG + return None + + monkeypatch.setattr(EnhancedExtractor, "_download_and_parse_config", fake_download) + monkeypatch.setattr( + EnhancedExtractor, "_get_readme_content", lambda self, *a, **kw: None + ) + + +@pytest.fixture +def patch_service_io(monkeypatch): + monkeypatch.setattr( + AIBOMService, "_fetch_model_info", lambda self, model_id: { + "id": model_id, + "modelId": model_id, + "pipeline_tag": "text-generation", + "tags": ["llama"], + "library_name": "transformers", + } + ) + monkeypatch.setattr( + AIBOMService, "_fetch_model_card", lambda self, model_id: None + ) + monkeypatch.setattr( + EnhancedExtractor, "_download_and_parse_config", + lambda self, model_id, filename, **kw: STUB_CONFIG if filename == "config.json" else None + ) + monkeypatch.setattr( + EnhancedExtractor, "_get_readme_content", lambda self, *a, **kw: None + ) + + +@pytest.fixture +def full_gguf_bytes(): + from tests.fixtures import get_full_gguf_bytes + return get_full_gguf_bytes() diff --git a/tests/doubles.py b/tests/doubles.py new file mode 100644 index 0000000..302b836 --- /dev/null +++ b/tests/doubles.py @@ -0,0 +1,18 @@ +class FakeModelFileExtractor: + def __init__(self, can=True, metadata=None): + self._can = can + self._metadata = metadata or {} + + def can_extract(self, model_id): + return self._can + + def extract_metadata(self, model_id): + return self._metadata + + +class FailingModelFileExtractor: + def can_extract(self, model_id): + raise RuntimeError("boom") + + def extract_metadata(self, model_id): + raise RuntimeError("boom") diff --git a/tests/fixtures/__init__.py b/tests/fixtures/__init__.py new file mode 100644 index 0000000..7b1bfb7 --- /dev/null +++ b/tests/fixtures/__init__.py @@ -0,0 +1,137 @@ +import hashlib +import os +import tempfile +from typing import Dict, Optional + +from gguf import GGUFWriter + + +def _write_gguf_to_bytes(writer: GGUFWriter, path: str) -> bytes: + writer.write_header_to_file() + writer.write_kv_data_to_file() + writer.write_tensors_to_file() + writer.close() + with open(path, "rb") as f: + data = f.read() + os.unlink(path) + return data + + +_KV_TYPE_WRITERS = { + "uint32": "add_uint32", + "int32": "add_int32", + "float32": "add_float32", + "bool": "add_bool", + "string": "add_string", +} + + +def build_gguf_bytes( + *, + architecture: str = "test-arch", + model_name: str = "test-model", + chat_template: Optional[str] = None, + context_length: Optional[int] = None, + embedding_length: Optional[int] = None, + block_count: Optional[int] = None, + head_count: Optional[int] = None, + head_count_kv: Optional[int] = None, + feed_forward_length: Optional[int] = None, + rope_dimension_count: Optional[int] = None, + quantization_version: Optional[int] = None, + file_type: Optional[int] = None, + tokenizer_model: Optional[str] = None, + description: Optional[str] = None, + author: Optional[str] = None, + license: Optional[str] = None, + extra_kv: Optional[Dict[str, tuple]] = None, +) -> bytes: + """Build a valid GGUF binary using the canonical gguf package. + + extra_kv accepts arbitrary key-value pairs as: + {"key": ("type_name", value)} + where type_name is one of: uint32, int32, float32, bool, string. + """ + with tempfile.NamedTemporaryFile(suffix=".gguf", delete=False) as f: + path = f.name + + writer = GGUFWriter(path, architecture) + writer.add_name(model_name) + + if chat_template is not None: + writer.add_chat_template(chat_template) + if context_length is not None: + writer.add_context_length(context_length) + if embedding_length is not None: + writer.add_embedding_length(embedding_length) + if block_count is not None: + writer.add_block_count(block_count) + if head_count is not None: + writer.add_head_count(head_count) + if head_count_kv is not None: + writer.add_head_count_kv(head_count_kv) + if feed_forward_length is not None: + writer.add_feed_forward_length(feed_forward_length) + if rope_dimension_count is not None: + writer.add_rope_dimension_count(rope_dimension_count) + if quantization_version is not None: + writer.add_quantization_version(quantization_version) + if file_type is not None: + writer.add_file_type(file_type) + if tokenizer_model is not None: + writer.add_tokenizer_model(tokenizer_model) + if description is not None: + writer.add_description(description) + if author is not None: + writer.add_author(author) + if license is not None: + writer.add_license(license) + + if extra_kv: + for key, (type_name, value) in extra_kv.items(): + method = _KV_TYPE_WRITERS.get(type_name) + if method is None: + raise ValueError(f"unsupported extra_kv type: {type_name}") + getattr(writer, method)(key, value) + + return _write_gguf_to_bytes(writer, path) + + +SAMPLE_CHAT_TEMPLATE = ( + "{% for message in messages %}\n" + "{{ '<|' ~ message['role'] ~ '|>' ~ message['content'] }}\n" + "{% endfor %}\n" + "{% if add_generation_prompt %}{{ '<|assistant|>' }}{% endif %}" +) + + +def get_sample_chat_template_hash() -> str: + return f"sha256:{hashlib.sha256(SAMPLE_CHAT_TEMPLATE.encode('utf-8')).hexdigest()}" + + +def get_minimal_gguf_bytes() -> bytes: + return build_gguf_bytes(architecture="llama", model_name="test-model") + + +def get_gguf_bytes_with_chat_template() -> bytes: + return build_gguf_bytes( + architecture="llama", + model_name="test-model", + chat_template=SAMPLE_CHAT_TEMPLATE, + ) + + +def get_full_gguf_bytes() -> bytes: + return build_gguf_bytes( + architecture="llama", + model_name="Llama-2-7B-Chat", + chat_template=SAMPLE_CHAT_TEMPLATE, + tokenizer_model="gpt2", + context_length=4096, + embedding_length=4096, + block_count=32, + head_count=32, + head_count_kv=8, + quantization_version=2, + file_type=7, + ) diff --git a/tests/test_aibom_hyperparameters.py b/tests/test_aibom_hyperparameters.py new file mode 100644 index 0000000..21ef9fe --- /dev/null +++ b/tests/test_aibom_hyperparameters.py @@ -0,0 +1,43 @@ +from src.models.service import AIBOMService +from tests.doubles import FakeModelFileExtractor +from tests.conftest import SAMPLE_GGUF_METADATA + + +class TestHyperparametersAppearInAIBOM: + """When a model has GGUF files with hyperparameters, the generated + AIBOM contains them in component properties.""" + + def test_hyperparameters_in_component_properties(self, patch_service_io): + fake = FakeModelFileExtractor(can=True, metadata=SAMPLE_GGUF_METADATA) + service = AIBOMService(model_file_extractors=[fake]) + aibom = service.generate_aibom("owner/model") + props = aibom["components"][0]["modelCard"]["properties"] + prop_names = [p["name"] for p in props] + assert "genai:aibom:modelcard:hyperparameter" in prop_names + + +class TestQuantizationAppearsInAIBOM: + """When a model has GGUF files with quantization info, the generated + AIBOM contains it in component properties.""" + + def test_quantization_in_component_properties(self, patch_service_io): + fake = FakeModelFileExtractor(can=True, metadata=SAMPLE_GGUF_METADATA) + service = AIBOMService(model_file_extractors=[fake]) + aibom = service.generate_aibom("owner/model") + props = aibom["components"][0]["modelCard"]["properties"] + prop_names = [p["name"] for p in props] + assert "genai:aibom:modelcard:quantizationVersion" in prop_names + assert "genai:aibom:modelcard:quantizationFileType" in prop_names + + +class TestAIBOMWithoutModelFileData: + """When no model file extractor matches, the AIBOM is still + generated successfully -- just without hyperparameter fields.""" + + def test_no_hyperparameters_when_no_gguf(self, patch_service_io): + fake = FakeModelFileExtractor(can=False) + service = AIBOMService(model_file_extractors=[fake]) + aibom = service.generate_aibom("owner/model") + props = aibom["components"][0].get("modelCard", {}).get("properties", []) + prop_names = [p["name"] for p in props] + assert not any(name == "genai:aibom:modelcard:hyperparameter" for name in prop_names) diff --git a/tests/test_gguf_metadata.py b/tests/test_gguf_metadata.py new file mode 100644 index 0000000..68020f8 --- /dev/null +++ b/tests/test_gguf_metadata.py @@ -0,0 +1,221 @@ +""" +Unit tests for GGUF metadata extraction module. + +Tests the public interface of the gguf_metadata module. +""" + +import struct +import unittest + +from src.models.gguf_metadata import ( + GGUF_MAGIC, + GGUFModelInfo, + BufferUnderrunError, + InvalidMagicError, + parse_gguf_metadata, + extract_model_info, + build_huggingface_url, + map_to_metadata, +) + +from tests.fixtures import ( + build_gguf_bytes, + SAMPLE_CHAT_TEMPLATE, +) + + +class TestParseGGUFMetadata(unittest.TestCase): + + def test_parse_minimal_valid_gguf(self): + data = build_gguf_bytes(architecture="llama", model_name="test-model") + + result = parse_gguf_metadata(data, filename="test.gguf") + + self.assertEqual(result.version, 3) + self.assertEqual(result.tensor_count, 0) + self.assertEqual(result.kv_count, 2) + self.assertEqual(result.metadata["general.architecture"], "llama") + self.assertEqual(result.metadata["general.name"], "test-model") + self.assertEqual(result.filename, "test.gguf") + + def test_parse_with_chat_template(self): + data = build_gguf_bytes(chat_template=SAMPLE_CHAT_TEMPLATE) + + result = parse_gguf_metadata(data) + + self.assertIn("tokenizer.chat_template", result.metadata) + self.assertEqual(result.metadata["tokenizer.chat_template"], SAMPLE_CHAT_TEMPLATE) + + def test_parse_with_various_metadata_types(self): + data = build_gguf_bytes( + extra_kv={ + "test.uint32": ("uint32", 42), + "test.int32": ("int32", -100), + "test.float32": ("float32", 3.14), + "test.bool_true": ("bool", True), + "test.bool_false": ("bool", False), + "test.string": ("string", "hello world"), + } + ) + + result = parse_gguf_metadata(data) + + self.assertEqual(result.metadata["test.uint32"], 42) + self.assertEqual(result.metadata["test.int32"], -100) + self.assertAlmostEqual(result.metadata["test.float32"], 3.14, places=2) + self.assertTrue(result.metadata["test.bool_true"]) + self.assertFalse(result.metadata["test.bool_false"]) + self.assertEqual(result.metadata["test.string"], "hello world") + + def test_parse_invalid_magic_raises(self): + data = b"NOT_GGUF_DATA_HERE" + + with self.assertRaises(InvalidMagicError) as context: + parse_gguf_metadata(data) + + self.assertIn("invalid magic", str(context.exception).lower()) + + def test_parse_truncated_header_raises(self): + data = struct.pack("= '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'win32'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'", + "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and sys_platform == 'win32'", + "python_full_version < '3.12' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] + +[[package]] +name = "aiohappyeyeballs" +version = "2.6.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = "2025-03-12T01:42:48.764Z" } +wheels = [ + { url = 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