ankn
a5f8fb49ab
Bahn: aisupport, Analyse-O2C-C2S, awesome-bahn-mcp-servers, beam-mcp,
Confluence_Bot, db-planet-mcp-server, O2C-Harness, project-audit,
Projekt-KIQ-HP, teamlandkarte-mcp
Dhive: Jury-Voting
Privat: CV, NoteGraph (NOTE: NoteGraph needs complete redo after consolidation)
Shared: AI-Orchestrator, OrgMyLife, power_skills_and_more
Shared/references: symphony (read-only)
Bahn repos remain available as independent remotes - this monorepo
pulls them in via subtree, the originals are untouched.
52 lines
1.3 KiB
Python
52 lines
1.3 KiB
Python
"""Text extraction layer for various document formats."""
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from pathlib import Path
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from .base import ExtractionResult, TextExtractor
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from .docx import DocxExtractor
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from .ocr import OCRExtractor
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from .pdf import PDFExtractor
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from .text import PlainTextExtractor
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def get_extractor(file_path: Path, config=None):
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"""Get the appropriate extractor for a file.
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Args:
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file_path: Path to the file to extract.
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config: Optional IngestionConfig for LLM-based extraction.
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Returns:
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An extractor instance that can handle the file, or None.
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"""
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suffix = file_path.suffix.lower()
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if suffix in (".md", ".txt"):
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return PlainTextExtractor()
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elif suffix == ".pdf":
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if config:
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return PDFExtractor(
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ocr_enabled=config.ocr_enabled,
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ocr_language=config.ocr_language,
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llm_provider=config.llm_provider,
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llm_model=config.llm_model,
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mistral_api_key=config.mistral_api_key,
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)
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return PDFExtractor()
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elif suffix in (".jpg", ".jpeg", ".png"):
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return OCRExtractor()
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elif suffix == ".docx":
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return DocxExtractor()
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return None
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__all__ = [
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"ExtractionResult",
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"TextExtractor",
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"PlainTextExtractor",
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"PDFExtractor",
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"OCRExtractor",
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"DocxExtractor",
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"get_extractor",
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]
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