036f392d61
feat(analysis): add string extraction and API support
2026-06-09 22:00:16 -03:00
e01948b9e4
feat(engine): add engine discovery and availability check
2026-06-09 20:24:19 -03:00
f2ba9b2019
feat(analysis): add support for IDA Pro 6.6
2026-06-09 20:00:36 -03:00
a1c5a70429
feat(analysis): add function size and segments endpoint
2026-06-08 22:10:57 -03:00
e73ba717a4
feat(analysis): add segments to analysis results and API
2026-06-08 21:50:46 -03:00
d1787137fe
feat(analysis): add flags to function details and responses
2026-06-08 21:18:30 -03:00
b26631c5aa
feat(analysis): add type information to xref and label entries
2026-06-08 21:07:04 -03:00
dcb4cf6a3c
feat(analysis): add entry point to analysis response
2026-06-08 20:56:27 -03:00
ebb5c45b9e
fix(test): add teardown method to JobIntegrationTest
2026-06-08 20:28:51 -03:00
e164180870
test: disable AI module and fix H2 schema in test profile
...
Tests use H2 with explicit schema.sql instead of Flyway, and AI module
is disabled via app.ai.enabled=false and OllamaAutoConfiguration exclusion.
2026-06-08 20:13:28 -03:00
90ee74b3b9
docs: add AI module documentation and AGENTS.md
...
Comprehensive documentation for the AI module covering architecture,
API design, data model, RAG pipeline, configuration, integration points,
and frontend integration guide. Includes IDA5 extraction points reference
and AGENTS.md with project conventions and coding standards.
2026-06-08 20:13:21 -03:00
198d9f333b
feat(job): wire embedding generation into async job pipeline
...
Triggers automatic embedding generation after static analysis completes
by publishing a StaticAnalysisCompletedEvent consumed by the job pipeline.
- StaticAnalysisHandler publishes event on analysis completion
- EmbeddingEventSubscriber creates GENERATE_EMBEDDINGS job from event
- EmbeddingGenerationHandler indexes binary via EmbeddingService
- JobType enum gains GENERATE_EMBEDDINGS variant
- New repository queries to support AI context builder lookups
2026-06-08 20:13:11 -03:00
d01ed613fb
feat(ai): add AI chat and RAG embedding module
...
Core AI module with chat sessions, message history, pgvector embeddings,
semantic search via RAG, and Ollama integration for chat/embedding models.
Includes:
- Spring AI Ollama dependency (BOM 1.0.1)
- Entity model: ChatSession, ChatMessage, EmbeddingChunk
- Custom PostgreSQLVectorJdbcType for pgvector mapping
- Services: ChatService, EmbeddingService, ChatContextBuilder
- ChatController with SSE streaming endpoint
- Flyway migration V008 (pgvector extension + tables)
- AI configuration in application.yml
2026-06-08 20:12:59 -03:00
199345d497
feat(binary): add static analysis engine support
2026-06-07 22:40:21 -03:00
011dbe9321
feat(binary): add endpoint to retrieve binary details
2026-06-07 19:51:56 -03:00
ae8f5b87a6
feat(die): integrate DiE analysis and result parsing
2026-06-07 15:45:50 -03:00
3b57f89943
feat(job): implement job processing and messaging
2026-06-07 15:03:57 -03:00
559f137a27
feat(binary): implement CRUD operations for binaries
2026-06-06 23:19:12 -03:00
82074add45
feat(project): implement CRUD operations for projects
2026-06-06 20:48:57 -03:00
d3362571f2
feat(workspace): implement CRUD operations for workspaces
2026-06-06 19:17:57 -03:00
