__init__.py

• Pfad: /var/www/scripts/pipeline/semantic_chunk/__init__.py
• Namespace: pipeline
• Zeilen: 34 | Größe: 876 Bytes
• Geändert: 2025-12-25 18:29:01 | Gescannt: 2025-12-31 10:22:15

Code Hygiene Score: 75

• Dependencies: 0 (25%)
• LOC: 100 (20%)
• Methods: 100 (20%)
• Secrets: 100 (15%)
• Classes: 100 (10%)
• Magic Numbers: 100 (10%)

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Dependencies 15

• use analyzers.EntityExtractor
• use analyzers.RelationExtractor
• use analyzers.SemanticsAnalyzer
• use analyzers.TaxonomyClassifier
• use models.ChunkSemantics
• use models.Entity
• use models.Relation
• use ollama_service.ANALYSIS_MODEL
• use ollama_service.OllamaService
• use pipeline.SemanticChunkPipeline
• use repositories.BATCH_SIZE
• use repositories.ChunkRepository
• use repositories.EntityRepository
• use repositories.SemanticsRepository
• use repositories.TaxonomyRepository

Code

"""
Semantic Chunk Analyzer Package.

Analysiert Chunks für:
- Semantik (summary, keywords, sentiment, topics)
- Entitäten
- Relationen
- Taxonomie
"""

from .analyzers import EntityExtractor, RelationExtractor, SemanticsAnalyzer, TaxonomyClassifier
from .models import ChunkSemantics, Entity, Relation
from .ollama_service import ANALYSIS_MODEL, OllamaService
from .pipeline import SemanticChunkPipeline
from .repositories import BATCH_SIZE, ChunkRepository, EntityRepository, SemanticsRepository, TaxonomyRepository

__all__ = [
    "ChunkSemantics",
    "Entity",
    "Relation",
    "OllamaService",
    "ANALYSIS_MODEL",
    "SemanticsAnalyzer",
    "EntityExtractor",
    "RelationExtractor",
    "TaxonomyClassifier",
    "ChunkRepository",
    "SemanticsRepository",
    "EntityRepository",
    "TaxonomyRepository",
    "BATCH_SIZE",
    "SemanticChunkPipeline",
]