21a844cb8a
A previous `git pull --rebase origin main` dropped 177 local commits,
losing 3400+ files across admin-v2, backend, studio-v2, website,
klausur-service, and many other services. The partial restore attempt
(660295e2) only recovered some files.
This commit restores all missing files from pre-rebase ref 98933f5e
while preserving post-rebase additions (night-scheduler, night-mode UI,
NightModeWidget dashboard integration).
Restored features include:
- AI Module Sidebar (FAB), OCR Labeling, OCR Compare
- GPU Dashboard, RAG Pipeline, Magic Help
- Klausur-Korrektur (8 files), Abitur-Archiv (5+ files)
- Companion, Zeugnisse-Crawler, Screen Flow
- Full backend, studio-v2, website, klausur-service
- All compliance SDKs, agent-core, voice-service
- CI/CD configs, documentation, scripts
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
78 lines
2.3 KiB
Python
78 lines
2.3 KiB
Python
"""
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BQAS Configuration
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"""
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import os
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from dataclasses import dataclass, field
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from typing import Optional
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@dataclass
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class BQASConfig:
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"""Configuration for BQAS framework."""
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# Ollama settings
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ollama_base_url: str = field(
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default_factory=lambda: os.getenv("OLLAMA_BASE_URL", "http://localhost:11434")
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)
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judge_model: str = field(
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default_factory=lambda: os.getenv("BQAS_JUDGE_MODEL", "qwen2.5:32b")
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)
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judge_timeout: float = 120.0
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# Voice service settings
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voice_service_url: str = field(
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default_factory=lambda: os.getenv("VOICE_SERVICE_URL", "http://localhost:8091")
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)
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# Klausur service settings (for RAG tests)
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klausur_service_url: str = field(
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default_factory=lambda: os.getenv("KLAUSUR_SERVICE_URL", "http://localhost:8086")
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)
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# Database settings
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db_path: str = field(
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default_factory=lambda: os.getenv("BQAS_DB_PATH", "bqas_history.db")
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)
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# Thresholds
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regression_threshold: float = 0.1 # Score drop threshold
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min_golden_score: float = 3.5 # Minimum acceptable score
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min_synthetic_score: float = 3.0
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min_rag_score: float = 3.5 # Minimum acceptable RAG score
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# Weights for composite score (Intent tests)
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intent_accuracy_weight: float = 0.4
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faithfulness_weight: float = 0.2
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relevance_weight: float = 0.2
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coherence_weight: float = 0.1
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safety_weight: float = 0.1
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# Weights for RAG composite score
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rag_retrieval_precision_weight: float = 0.25
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rag_operator_alignment_weight: float = 0.20
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rag_faithfulness_weight: float = 0.20
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rag_citation_accuracy_weight: float = 0.15
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rag_privacy_compliance_weight: float = 0.10
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rag_coherence_weight: float = 0.10
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# GitHub integration
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github_repo: Optional[str] = field(
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default_factory=lambda: os.getenv("BQAS_GITHUB_REPO")
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)
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github_token: Optional[str] = field(
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default_factory=lambda: os.getenv("GITHUB_TOKEN")
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)
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# Test generation
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synthetic_count_per_intent: int = 10
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include_typos: bool = True
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include_dialect: bool = True
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# RAG test settings
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rag_test_suite_path: str = "tests/bqas/golden_tests/golden_rag_correction_v1.yaml"
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@classmethod
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def from_env(cls) -> "BQASConfig":
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"""Create config from environment variables."""
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return cls()
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