Commit Graph

8 Commits

Author SHA1 Message Date
faligam
1aacf4aa20 Implement persistent API-key authentication
Protect the research lifecycle with X-API-Key validation backed by persistent user and key records. Store only salted scrypt hashes, support expiry and revocation, and expose a local admin CLI for create/list/revoke workflows.

Initialize only the authentication schema at startup, prevent SQL echo from exposing sensitive bound values, and keep health probes public. Add coverage for valid, missing, invalid, expired, and revoked keys.

Document deployment and key administration, update the local CLI to send NSCT_API_KEY, and record the reset handoff state.
2026-09-06 17:23:05 +02:00
NSCT Agent
8ea6269f9a feat(stage21): implement reproducibility — research_run_hash, full provenance tracking
- compute_research_run_hash(): deterministic SHA256 from query+budget+created_at
- ProvenanceEntry / ProvenanceLog: step-by-step trace with inputs, outputs, metadata, errors
- ResearchRun model: research_run_hash field (64-char hex)
- ResearchRunProvenance SQLAlchemy table for DB persistence
- Orchestrator: auto-log provenance before/after each pipeline step
- 35 tests: hash determinism, entry/log methods, storage model, integration
2026-09-05 14:27:45 +00:00
NSCT Agent
10a083aa02 feat(stage11): audio integration — STT for interviews, podcasts, press conferences with timestamped claims 2026-08-25 15:31:03 +00:00
NSCT Agent
3ab875d2bc feat(stage10): implement vision integration 2026-08-25 14:42:29 +00:00
NSCT Agent
719e218d9a feat(stage8): evidence scoring — transparent multidimensional scores (independence, proximity, support, contradiction, directness, date) 2026-08-24 07:47:00 +00:00
NSCT Agent
d1e6bb6cf4 feat(stage7): claim clustering & contradiction candidates — semantic grouping, numeric normalization, pairwise analysis
- ClaimClusterModel: LLM-basierte semantische Gruppierung von Claims
- ClaimRelationModel: SUPPORTS, CONTRADICTS, DUPLICATE, UNCERTAIN pairwise relations
- ClaimNLUModel: numerische Normalisierung (%, Währungen, deutsche/englische Wörter)
- stage7_normalize_numerics.py: Regex-basiert mit 200+ deutschen/englischen Zahlenwörtern
- stage7_clustering.py: LLM-Clustering + pairwise claim-relation analysis
- API: POST cluster-claims, GET clusters, GET claim-relations
- 79 tests: numerische Normalisierung, LLM-Parsing, Clustering, Relationen, Edge-Cases
- Dedup: claims mit gleichen numerischen Werten werden zusammengefasst
2026-08-23 20:57:17 +00:00
NSCT Agent
a60cf21a2c feat(stage6): source independence & citation graph — detect syndication, shared origins, text similarity
- SourceIndependenceModel: per-source independence_score (0.0-1.0), syndication_group_id, primary_source_id, content_hash, shared_urls
- CitationGraphEdgeModel: directed edges (SYNDICATED, QUOTES, LINKS_TO, REPOST, SIMILAR_CONTENT) with confidence + evidence
- Content-Hash (SHA-256): instant syndication detection for identical content
- difflib Vorfilterung: >60% → LLM, >80% → high confidence, 100% → immediate syndication
- LLM-Pairwise-Analysis: two-text-comparison for suspicious pairs only (bounded concurrency)
- independence_score: 1.0 base, -0.4 for syndicated, -0.1 per high-similarity pair
- Pydantic schemas: SourceIndependenceScore, CitationGraphEdge, SyntacticSimilarityResult, LlmSyndicationAnalysis, SourceIndependenceAnalysisResult
- LLM response parser: handles JSON, markdown code blocks, partial/invalid JSON
- 43 tests: content hash, similarity thresholds, LLM parsing, analyzer integration, edge cases, prompt templates
2026-08-23 18:47:24 +00:00
NSCT Agent
e9410be941 Stage 0: Repository und Architekturgrundlage
- Pyproject.toml mit FastAPI, Pydantic v2, SQLAlchemy, httpx, asyncio,
  BeautifulSoup4, selectolax, trafilatura, uvicorn, pytest-asyncio
- Multi-stage Dockerfile (Python 3.12-slim, Non-Root-User nsct)
- docker-compose.yml (nsct-api + postgres + optional searxng)
- .env.example mit allen Config-Parametern
- Config-System: AppSettings mit LLMConfig, VisionConfig, AudioConfig,
  DatabaseConfig — komplett aus Environment, keine Hardcodes
- Strukturiertes Logging mit research_id/llm_request_id Tracking
- Pydantic v2 Schemas: SearchQuery, Source, Claim, EvidenceRelation,
  CitationEdge, ResearchReport
- SQLAlchemy 2.0 Declarative Models + async Engine Factory
- SSRF-Schutz: URL-Validation, IP-Blocklist (RFC1918, Cloud Metadata,
  file://, ftp://)
- Provider-Interfaces: LLMProvider, VisionProvider, AudioProvider,
  SearchProvider, ContentFetcher als ABCs
- Health-Endpoints: /health, /ready (LLM-Connect-Test), /providers
- FastAPI App mit CORS, lifespan (LLM Pre-Flight)
- CLI-Stub mit Entry-Points: nsct, nsct-core, nsct-api
- 6 Test-Cases: /health, /ready, /providers + No-Secrets-Test
- Vollständige Dokumentation: README, ARCHITECTURE, SECURITY,
  METHODOLOGY, API, DEPLOYMENT
- .gitignore (Python, Docker, IDE, .env)
2026-08-23 11:33:45 +00:00