Cleanup: Delete ALL 242 shims, update ALL consumer imports
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klausur-service: 183 shims deleted, 26 test files + 8 source files updated backend-lehrer: 59 shims deleted, main.py + 8 source files updated All imports now use the new package paths directly. Zero shims remaining in the entire codebase. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -6,7 +6,7 @@ sys.path.insert(0, "/app/backend")
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import cv2
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import numpy as np
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import pytesseract
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from ocr_pipeline_session_store import get_session_db
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from ocr.pipeline.session_store import get_session_db
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SESSION_ID = "3dcb1897-09a6-4b80-91b5-7e4207980bf3"
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@@ -74,7 +74,7 @@ async def main():
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# Also test the 4 dewarp methods directly
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print("\n--- Dewarp method results on deskewed image ---")
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from cv_vocab_pipeline import (
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from ocr.cv_pipeline import (
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_detect_shear_angle, _detect_shear_by_projection,
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_detect_shear_by_hough, _detect_shear_by_text_lines,
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)
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@@ -257,7 +257,7 @@ class TestPDFExtraction:
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def test_pdf_extraction_config(self):
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"""Test PDF extraction configuration."""
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from pdf_extraction import PDF_BACKEND, get_pdf_extraction_info
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from korrektur.pdf_extraction import PDF_BACKEND, get_pdf_extraction_info
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info = get_pdf_extraction_info()
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assert "configured_backend" in info
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@@ -266,7 +266,7 @@ class TestPDFExtraction:
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def test_detect_available_backends(self):
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"""Test backend detection."""
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from pdf_extraction import _detect_available_backends
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from korrektur.pdf_extraction import _detect_available_backends
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backends = _detect_available_backends()
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assert isinstance(backends, list)
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@@ -280,7 +280,7 @@ class TestPDFExtraction:
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def test_pdf_extraction_result_class(self):
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"""Test PDFExtractionResult data class."""
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from pdf_extraction import PDFExtractionResult
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from korrektur.pdf_extraction import PDFExtractionResult
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result = PDFExtractionResult(
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text="Extracted text",
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@@ -305,7 +305,7 @@ class TestPDFExtraction:
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def test_pdf_extraction_error(self):
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"""Test PDF extraction error handling."""
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from pdf_extraction import PDFExtractionError
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from korrektur.pdf_extraction import PDFExtractionError
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with pytest.raises(PDFExtractionError):
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raise PDFExtractionError("Test error")
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@@ -313,7 +313,7 @@ class TestPDFExtraction:
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@pytest.mark.xfail(reason="_extract_with_pypdf is internal function not exposed in API")
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def test_pypdf_extraction(self):
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"""Test pypdf extraction with a simple PDF (BSD-3-Clause licensed)."""
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from pdf_extraction import _extract_with_pypdf, PDFExtractionError
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from korrektur.pdf_extraction import _extract_with_pypdf, PDFExtractionError
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# Create a minimal valid PDF
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# This is a very simple PDF that PyPDF2 can parse
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@@ -517,7 +517,7 @@ class TestModuleAvailability:
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def test_pdf_extraction_import(self):
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"""Test PDF Extraction module import."""
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from pdf_extraction import (
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from korrektur.pdf_extraction import (
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extract_text_from_pdf,
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extract_text_from_pdf_enhanced,
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get_pdf_extraction_info,
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@@ -551,7 +551,7 @@ class TestFeatureVerification:
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from hyde import get_hyde_info
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from hybrid_search import get_hybrid_search_info
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from rag_evaluation import get_evaluation_info
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from pdf_extraction import get_pdf_extraction_info
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from korrektur.pdf_extraction import get_pdf_extraction_info
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from self_rag import get_self_rag_info
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infos = [
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@@ -598,7 +598,7 @@ class TestRAGAdminAPI:
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@pytest.mark.asyncio
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async def test_rag_documentation_markdown_format(self):
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"""Test RAG documentation endpoint returns markdown."""
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from admin_api import get_rag_documentation
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from admin.api import get_rag_documentation
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result = await get_rag_documentation(format="markdown")
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@@ -610,7 +610,7 @@ class TestRAGAdminAPI:
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@pytest.mark.asyncio
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async def test_rag_documentation_html_format(self):
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"""Test RAG documentation endpoint returns HTML with tables."""
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from admin_api import get_rag_documentation
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from admin.api import get_rag_documentation
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result = await get_rag_documentation(format="html")
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@@ -628,7 +628,7 @@ class TestRAGAdminAPI:
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@pytest.mark.asyncio
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async def test_rag_system_info_has_feature_status(self):
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"""Test RAG system-info includes feature status."""
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from admin_api import get_rag_system_info
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from admin.api import get_rag_system_info
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result = await get_rag_system_info()
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@@ -639,7 +639,7 @@ class TestRAGAdminAPI:
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@pytest.mark.asyncio
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async def test_rag_system_info_has_privacy_notes(self):
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"""Test RAG system-info includes privacy notes."""
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from admin_api import get_rag_system_info
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from admin.api import get_rag_system_info
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result = await get_rag_system_info()
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@@ -15,8 +15,8 @@ import os
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
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from ocr_pipeline_api import _filter_border_ghost_words, _BORDER_GHOST_CHARS
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from cv_vocab_types import DetectedBox
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from ocr.pipeline.api import _filter_border_ghost_words, _BORDER_GHOST_CHARS
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from ocr.types import DetectedBox
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# ---------------------------------------------------------------------------
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@@ -14,7 +14,7 @@ import os
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
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from cv_words_first import build_grid_from_words, _cluster_columns
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from ocr.words_first import build_grid_from_words, _cluster_columns
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# ---------------------------------------------------------------------------
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@@ -4,7 +4,7 @@ import pytest
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import sys, os
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
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from cv_box_layout import classify_box_layout, build_box_zone_grid, _group_into_lines
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from ocr.detect.box_layout import classify_box_layout, build_box_zone_grid, _group_into_lines
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def _make_words(lines_data):
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@@ -514,7 +514,7 @@ class TestEncryptionUtils:
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def test_hash_key(self):
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"""Key hashing produces consistent results."""
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from eh_pipeline import hash_key
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from korrektur.eh_pipeline import hash_key
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import os
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passphrase = "test-secret-passphrase"
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@@ -527,7 +527,7 @@ class TestEncryptionUtils:
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def test_verify_key_hash(self):
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"""Key hash verification works correctly."""
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from eh_pipeline import hash_key, verify_key_hash
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from korrektur.eh_pipeline import hash_key, verify_key_hash
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import os
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passphrase = "test-secret-passphrase"
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@@ -539,7 +539,7 @@ class TestEncryptionUtils:
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def test_chunk_text(self):
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"""Text chunking produces correct overlap."""
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from eh_pipeline import chunk_text
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from korrektur.eh_pipeline import chunk_text
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text = "A" * 2000 # 2000 characters
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chunks = chunk_text(text, chunk_size=1000, overlap=200)
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@@ -550,7 +550,7 @@ class TestEncryptionUtils:
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def test_encrypt_decrypt_text(self):
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"""Text encryption and decryption round-trip."""
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from eh_pipeline import encrypt_text, decrypt_text
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from korrektur.eh_pipeline import encrypt_text, decrypt_text
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plaintext = "Dies ist ein geheimer Text."
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passphrase = "geheim123"
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@@ -13,71 +13,71 @@ class TestInsertMissingIpa:
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def test_single_headword_gets_ipa(self):
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"""Single English headword should get IPA inserted."""
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from cv_ocr_engines import _insert_missing_ipa
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from ocr.engines.engines import _insert_missing_ipa
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result = _insert_missing_ipa("badge", "british")
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assert "[" in result and "]" in result
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assert result.startswith("badge [")
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def test_short_phrase_first_word_gets_ipa(self):
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"""First real word in short phrase gets IPA."""
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from cv_ocr_engines import _insert_missing_ipa
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from ocr.engines.engines import _insert_missing_ipa
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result = _insert_missing_ipa("film", "british")
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assert "[" in result
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def test_long_sentence_unchanged(self):
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"""Sentences with >6 words should not get IPA."""
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from cv_ocr_engines import _insert_missing_ipa
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from ocr.engines.engines import _insert_missing_ipa
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text = "Can I borrow your CD player from you please"
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result = _insert_missing_ipa(text, "british")
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assert result == text
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def test_existing_brackets_unchanged(self):
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"""Text with existing brackets should not get double IPA."""
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from cv_ocr_engines import _insert_missing_ipa
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from ocr.engines.engines import _insert_missing_ipa
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text = "dance [dˈɑːns]"
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result = _insert_missing_ipa(text, "british")
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assert result == text
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def test_empty_text_unchanged(self):
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"""Empty text returns empty."""
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from cv_ocr_engines import _insert_missing_ipa
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from ocr.engines.engines import _insert_missing_ipa
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assert _insert_missing_ipa("", "british") == ""
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assert _insert_missing_ipa(" ", "british") == ""
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def test_grammar_words_skipped(self):
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"""Grammar particles should not get IPA."""
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from cv_ocr_engines import _insert_missing_ipa
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from ocr.engines.engines import _insert_missing_ipa
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# "sth" is in _GRAMMAR_BRACKET_WORDS
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result = _insert_missing_ipa("sth", "british")
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assert "[" not in result
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def test_german_word_no_ipa(self):
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"""German words (no IPA entry) stay unchanged."""
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from cv_ocr_engines import _insert_missing_ipa
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from ocr.engines.engines import _insert_missing_ipa
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result = _insert_missing_ipa("Anstecknadel", "british")
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assert result == "Anstecknadel"
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def test_compound_word_schoolbag_gets_ipa(self):
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"""R07: Compound word 'schoolbag' should get decomposed IPA (school+bag)."""
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from cv_ocr_engines import _insert_missing_ipa
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from ocr.engines.engines import _insert_missing_ipa
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result = _insert_missing_ipa("schoolbag", "british")
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assert "[" in result and "]" in result
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assert result.startswith("schoolbag [")
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def test_compound_word_blackbird(self):
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"""Compound word 'blackbird' should get decomposed IPA."""
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from cv_ocr_engines import _insert_missing_ipa
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from ocr.engines.engines import _insert_missing_ipa
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result = _insert_missing_ipa("blackbird", "british")
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assert "[" in result and "]" in result
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def test_compound_word_too_short(self):
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"""Words shorter than 6 chars should not attempt compound decomposition."""
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from cv_ocr_engines import _decompose_compound
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from ocr.engines.engines import _decompose_compound
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assert _decompose_compound("bag", "british") is None
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def test_decompose_compound_direct(self):
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"""Direct test of _decompose_compound for known compounds."""
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from cv_ocr_engines import _decompose_compound
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from ocr.engines.engines import _decompose_compound
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# schoolbag = school + bag — both should be in dictionary
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result = _decompose_compound("schoolbag", "british")
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assert result is not None
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@@ -88,14 +88,14 @@ class TestStripPostBracketGarbled:
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def test_simple_trailing_garbled(self):
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"""R21-simple: 'sea [sˈiː] si:' → trailing IPA marker removed."""
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from cv_ocr_engines import _strip_post_bracket_garbled
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from ocr.engines.engines import _strip_post_bracket_garbled
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result = _strip_post_bracket_garbled("sea [sˈiː] si:")
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assert "si:" not in result
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assert result.startswith("sea [sˈiː]")
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def test_multi_word_trailing_garbled(self):
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"""R21: 'seat [sˈiːt] belt si:t belt' → keep 'belt', remove garbled."""
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from cv_ocr_engines import _strip_post_bracket_garbled
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from ocr.engines.engines import _strip_post_bracket_garbled
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result = _strip_post_bracket_garbled("seat [sˈiːt] belt si:t belt")
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assert "belt" in result # real word kept
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assert "si:t" not in result # garbled removed
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@@ -104,13 +104,13 @@ class TestStripPostBracketGarbled:
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def test_delimiter_after_bracket_kept(self):
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"""Delimiters after IPA bracket are kept."""
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from cv_ocr_engines import _strip_post_bracket_garbled
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from ocr.engines.engines import _strip_post_bracket_garbled
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result = _strip_post_bracket_garbled("dance [dˈɑːns] – tanzen")
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assert "– tanzen" in result
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def test_german_after_bracket_kept(self):
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"""German words (uppercase) after IPA bracket are kept."""
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from cv_ocr_engines import _strip_post_bracket_garbled
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from ocr.engines.engines import _strip_post_bracket_garbled
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result = _strip_post_bracket_garbled("badge [bædʒ] Abzeichen")
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assert "Abzeichen" in result
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@@ -120,7 +120,7 @@ class TestFixCellPhonetics:
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def test_english_column_cells_processed(self):
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"""Cells with col_type column_en should be processed."""
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from cv_ocr_engines import fix_cell_phonetics
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from ocr.engines.engines import fix_cell_phonetics
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cells = [
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{"cell_id": "c1", "col_type": "column_en", "text": "badge"},
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{"cell_id": "c2", "col_type": "column_de", "text": "Anstecknadel"},
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@@ -133,7 +133,7 @@ class TestFixCellPhonetics:
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def test_column_text_cells_processed(self):
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"""Cells with col_type column_text should be processed."""
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from cv_ocr_engines import fix_cell_phonetics
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from ocr.engines.engines import fix_cell_phonetics
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cells = [
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{"cell_id": "c1", "col_type": "column_text", "text": "challenge"},
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]
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@@ -142,7 +142,7 @@ class TestFixCellPhonetics:
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def test_garbled_ipa_replaced(self):
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"""Garbled IPA brackets should be replaced with correct IPA."""
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from cv_ocr_engines import fix_cell_phonetics
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from ocr.engines.engines import fix_cell_phonetics
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cells = [
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{"cell_id": "c1", "col_type": "column_en", "text": "dance {'tfatno]"},
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]
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@@ -154,7 +154,7 @@ class TestFixCellPhonetics:
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def test_empty_cells_unchanged(self):
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"""Empty cells should not cause errors."""
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from cv_ocr_engines import fix_cell_phonetics
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from ocr.engines.engines import fix_cell_phonetics
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cells = [
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{"cell_id": "c1", "col_type": "column_en", "text": ""},
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{"cell_id": "c2", "col_type": "column_en", "text": None},
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@@ -164,7 +164,7 @@ class TestFixCellPhonetics:
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def test_non_english_col_types_skipped(self):
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"""Cells with column_de, column_example etc. should not be processed."""
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from cv_ocr_engines import fix_cell_phonetics
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from ocr.engines.engines import fix_cell_phonetics
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cells = [
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{"cell_id": "c1", "col_type": "column_de", "text": "Eis (gefrorenes Wasser)"},
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{"cell_id": "c2", "col_type": "column_example", "text": "(sich beschweren)"},
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@@ -9,8 +9,8 @@ import pytest
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import cv2
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|
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from cv_box_detect import detect_boxes, split_page_into_zones
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from cv_vocab_types import DetectedBox, PageZone
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from ocr.detect.box_detect import detect_boxes, split_page_into_zones
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from ocr.types import DetectedBox, PageZone
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# ---------------------------------------------------------------------------
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@@ -9,7 +9,7 @@ import pytest
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import cv2
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|
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from cv_graphic_detect import detect_graphic_elements, GraphicElement, _dominant_color
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from ocr.detect.graphic_detect import detect_graphic_elements, GraphicElement, _dominant_color
|
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|
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|
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# ---------------------------------------------------------------------------
|
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|
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@@ -23,7 +23,7 @@ from unittest.mock import AsyncMock, MagicMock, patch, PropertyMock
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from dataclasses import asdict
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|
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# Import module under test
|
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from cv_vocab_pipeline import (
|
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from ocr.cv_pipeline import (
|
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ColumnGeometry,
|
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DocumentTypeResult,
|
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PageRegion,
|
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@@ -1408,7 +1408,7 @@ class TestCellsToVocabEntriesPageRef:
|
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|
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def test_page_ref_mapped_to_source_page(self):
|
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"""Cell with col_type='page_ref' → source_page field populated."""
|
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from cv_vocab_pipeline import _cells_to_vocab_entries
|
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from ocr.cv_pipeline import _cells_to_vocab_entries
|
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|
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cells = [
|
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{
|
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@@ -1450,7 +1450,7 @@ class TestCellsToVocabEntriesPageRef:
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|
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def test_no_page_ref_defaults_empty(self):
|
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"""Without page_ref cell, source_page defaults to empty string."""
|
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from cv_vocab_pipeline import _cells_to_vocab_entries
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from ocr.cv_pipeline import _cells_to_vocab_entries
|
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|
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cells = [
|
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{
|
||||
@@ -1472,7 +1472,7 @@ class TestCellsToVocabEntriesPageRef:
|
||||
|
||||
def test_marker_only_row_included(self):
|
||||
"""Row with only a marker (no english/german/example) is kept."""
|
||||
from cv_vocab_pipeline import _cells_to_vocab_entries
|
||||
from ocr.cv_pipeline import _cells_to_vocab_entries
|
||||
|
||||
cells = [
|
||||
# Row 0: has english + marker
|
||||
@@ -1543,7 +1543,7 @@ class TestCellsToVocabEntriesPageRef:
|
||||
|
||||
def test_page_ref_only_row_included(self):
|
||||
"""Row with only source_page text is kept (no english/german/example)."""
|
||||
from cv_vocab_pipeline import _cells_to_vocab_entries
|
||||
from ocr.cv_pipeline import _cells_to_vocab_entries
|
||||
|
||||
cells = [
|
||||
{
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
"""Tests for cv_words_first.py — Words-First Grid Builder."""
|
||||
|
||||
import pytest
|
||||
from cv_words_first import (
|
||||
from ocr.words_first import (
|
||||
_assign_word_to_column,
|
||||
_assign_word_to_row,
|
||||
_build_cells,
|
||||
|
||||
@@ -10,8 +10,8 @@ import os
|
||||
# Add backend to path for imports
|
||||
sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
|
||||
|
||||
from cv_vocab_types import ColumnGeometry
|
||||
from cv_layout import _score_dictionary_signals, _classify_dictionary_columns, _score_language
|
||||
from ocr.types import ColumnGeometry
|
||||
from ocr.layout.layout import _score_dictionary_signals, _classify_dictionary_columns, _score_language
|
||||
|
||||
|
||||
def _make_words(texts, start_y=0, y_step=30, x=100, conf=80):
|
||||
|
||||
@@ -19,8 +19,8 @@ import importlib
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
def _fresh_import():
|
||||
"""Re-import cv_doclayout_detect with reset globals."""
|
||||
import cv_doclayout_detect as mod
|
||||
"""Re-import ocr.detect.doclayout_detect with reset globals."""
|
||||
import ocr.detect.doclayout_detect as mod
|
||||
# Reset module-level caching so each test starts clean
|
||||
mod._onnx_session = None
|
||||
mod._model_path = None
|
||||
@@ -62,7 +62,7 @@ class TestIsDoclayoutAvailableNoModel:
|
||||
|
||||
class TestLayoutRegionDataclass:
|
||||
def test_basic_creation(self):
|
||||
from cv_doclayout_detect import LayoutRegion
|
||||
from ocr.detect.doclayout_detect import LayoutRegion
|
||||
region = LayoutRegion(
|
||||
x=10, y=20, width=100, height=200,
|
||||
label="figure", confidence=0.95, label_index=1,
|
||||
@@ -76,14 +76,14 @@ class TestLayoutRegionDataclass:
|
||||
assert region.label_index == 1
|
||||
|
||||
def test_all_fields_present(self):
|
||||
from cv_doclayout_detect import LayoutRegion
|
||||
from ocr.detect.doclayout_detect import LayoutRegion
|
||||
import dataclasses
|
||||
field_names = {f.name for f in dataclasses.fields(LayoutRegion)}
|
||||
expected = {"x", "y", "width", "height", "label", "confidence", "label_index"}
|
||||
assert field_names == expected
|
||||
|
||||
def test_different_labels(self):
|
||||
from cv_doclayout_detect import LayoutRegion, DOCLAYOUT_CLASSES
|
||||
from ocr.detect.doclayout_detect import LayoutRegion, DOCLAYOUT_CLASSES
|
||||
for idx, label in enumerate(DOCLAYOUT_CLASSES):
|
||||
region = LayoutRegion(
|
||||
x=0, y=0, width=50, height=50,
|
||||
@@ -125,7 +125,7 @@ class TestDetectLayoutRegionsNoModel:
|
||||
|
||||
class TestPreprocessingShapes:
|
||||
def test_square_image(self):
|
||||
from cv_doclayout_detect import preprocess_image
|
||||
from ocr.detect.doclayout_detect import preprocess_image
|
||||
img = np.random.randint(0, 255, (800, 800, 3), dtype=np.uint8)
|
||||
tensor, scale, pad_x, pad_y = preprocess_image(img)
|
||||
assert tensor.shape == (1, 3, 800, 800)
|
||||
@@ -134,7 +134,7 @@ class TestPreprocessingShapes:
|
||||
assert tensor.max() <= 1.0
|
||||
|
||||
def test_landscape_image(self):
|
||||
from cv_doclayout_detect import preprocess_image
|
||||
from ocr.detect.doclayout_detect import preprocess_image
|
||||
img = np.random.randint(0, 255, (600, 1200, 3), dtype=np.uint8)
|
||||
tensor, scale, pad_x, pad_y = preprocess_image(img)
|
||||
assert tensor.shape == (1, 3, 800, 800)
|
||||
@@ -144,7 +144,7 @@ class TestPreprocessingShapes:
|
||||
assert pad_y > 0 # vertical padding expected
|
||||
|
||||
def test_portrait_image(self):
|
||||
from cv_doclayout_detect import preprocess_image
|
||||
from ocr.detect.doclayout_detect import preprocess_image
|
||||
img = np.random.randint(0, 255, (1200, 600, 3), dtype=np.uint8)
|
||||
tensor, scale, pad_x, pad_y = preprocess_image(img)
|
||||
assert tensor.shape == (1, 3, 800, 800)
|
||||
@@ -154,20 +154,20 @@ class TestPreprocessingShapes:
|
||||
assert pad_x > 0 # horizontal padding expected
|
||||
|
||||
def test_small_image(self):
|
||||
from cv_doclayout_detect import preprocess_image
|
||||
from ocr.detect.doclayout_detect import preprocess_image
|
||||
img = np.random.randint(0, 255, (100, 200, 3), dtype=np.uint8)
|
||||
tensor, scale, pad_x, pad_y = preprocess_image(img)
|
||||
assert tensor.shape == (1, 3, 800, 800)
|
||||
|
||||
def test_typical_scan_a4(self):
|
||||
"""A4 scan at 300dpi: roughly 2480x3508 pixels."""
|
||||
from cv_doclayout_detect import preprocess_image
|
||||
from ocr.detect.doclayout_detect import preprocess_image
|
||||
img = np.random.randint(0, 255, (3508, 2480, 3), dtype=np.uint8)
|
||||
tensor, scale, pad_x, pad_y = preprocess_image(img)
|
||||
assert tensor.shape == (1, 3, 800, 800)
|
||||
|
||||
def test_values_normalized(self):
|
||||
from cv_doclayout_detect import preprocess_image
|
||||
from ocr.detect.doclayout_detect import preprocess_image
|
||||
# All white image
|
||||
img = np.full((400, 400, 3), 255, dtype=np.uint8)
|
||||
tensor, _, _, _ = preprocess_image(img)
|
||||
@@ -182,20 +182,20 @@ class TestPreprocessingShapes:
|
||||
|
||||
class TestNmsLogic:
|
||||
def test_empty_input(self):
|
||||
from cv_doclayout_detect import nms
|
||||
from ocr.detect.doclayout_detect import nms
|
||||
boxes = np.array([]).reshape(0, 4)
|
||||
scores = np.array([])
|
||||
assert nms(boxes, scores) == []
|
||||
|
||||
def test_single_box(self):
|
||||
from cv_doclayout_detect import nms
|
||||
from ocr.detect.doclayout_detect import nms
|
||||
boxes = np.array([[10, 10, 100, 100]], dtype=np.float32)
|
||||
scores = np.array([0.9])
|
||||
kept = nms(boxes, scores, iou_threshold=0.5)
|
||||
assert kept == [0]
|
||||
|
||||
def test_non_overlapping_boxes(self):
|
||||
from cv_doclayout_detect import nms
|
||||
from ocr.detect.doclayout_detect import nms
|
||||
boxes = np.array([
|
||||
[0, 0, 50, 50],
|
||||
[200, 200, 300, 300],
|
||||
@@ -207,7 +207,7 @@ class TestNmsLogic:
|
||||
assert set(kept) == {0, 1, 2}
|
||||
|
||||
def test_overlapping_boxes_suppressed(self):
|
||||
from cv_doclayout_detect import nms
|
||||
from ocr.detect.doclayout_detect import nms
|
||||
# Two boxes that heavily overlap
|
||||
boxes = np.array([
|
||||
[10, 10, 110, 110], # 100x100
|
||||
@@ -219,7 +219,7 @@ class TestNmsLogic:
|
||||
assert kept == [0]
|
||||
|
||||
def test_partially_overlapping_boxes_kept(self):
|
||||
from cv_doclayout_detect import nms
|
||||
from ocr.detect.doclayout_detect import nms
|
||||
# Two boxes that overlap ~25% (below 0.5 threshold)
|
||||
boxes = np.array([
|
||||
[0, 0, 100, 100], # 100x100
|
||||
@@ -231,7 +231,7 @@ class TestNmsLogic:
|
||||
assert len(kept) == 2
|
||||
|
||||
def test_nms_respects_score_ordering(self):
|
||||
from cv_doclayout_detect import nms
|
||||
from ocr.detect.doclayout_detect import nms
|
||||
# Three overlapping boxes — highest confidence should be kept first
|
||||
boxes = np.array([
|
||||
[10, 10, 110, 110],
|
||||
@@ -244,7 +244,7 @@ class TestNmsLogic:
|
||||
assert kept[0] == 1
|
||||
|
||||
def test_iou_computation(self):
|
||||
from cv_doclayout_detect import _compute_iou
|
||||
from ocr.detect.doclayout_detect import _compute_iou
|
||||
box_a = np.array([0, 0, 100, 100], dtype=np.float32)
|
||||
box_b = np.array([0, 0, 100, 100], dtype=np.float32)
|
||||
assert abs(_compute_iou(box_a, box_b) - 1.0) < 1e-5
|
||||
@@ -259,7 +259,7 @@ class TestNmsLogic:
|
||||
|
||||
class TestDoclayoutClasses:
|
||||
def test_correct_class_list(self):
|
||||
from cv_doclayout_detect import DOCLAYOUT_CLASSES
|
||||
from ocr.detect.doclayout_detect import DOCLAYOUT_CLASSES
|
||||
expected = [
|
||||
"table", "figure", "title", "text", "list",
|
||||
"header", "footer", "equation", "reference", "abstract",
|
||||
@@ -267,15 +267,15 @@ class TestDoclayoutClasses:
|
||||
assert DOCLAYOUT_CLASSES == expected
|
||||
|
||||
def test_class_count(self):
|
||||
from cv_doclayout_detect import DOCLAYOUT_CLASSES
|
||||
from ocr.detect.doclayout_detect import DOCLAYOUT_CLASSES
|
||||
assert len(DOCLAYOUT_CLASSES) == 10
|
||||
|
||||
def test_no_duplicates(self):
|
||||
from cv_doclayout_detect import DOCLAYOUT_CLASSES
|
||||
from ocr.detect.doclayout_detect import DOCLAYOUT_CLASSES
|
||||
assert len(DOCLAYOUT_CLASSES) == len(set(DOCLAYOUT_CLASSES))
|
||||
|
||||
def test_all_lowercase(self):
|
||||
from cv_doclayout_detect import DOCLAYOUT_CLASSES
|
||||
from ocr.detect.doclayout_detect import DOCLAYOUT_CLASSES
|
||||
for cls in DOCLAYOUT_CLASSES:
|
||||
assert cls == cls.lower(), f"Class '{cls}' should be lowercase"
|
||||
|
||||
@@ -303,7 +303,7 @@ class TestGetDoclayoutStatus:
|
||||
class TestPostprocessing:
|
||||
def test_single_tensor_format_6cols(self):
|
||||
"""Test parsing of (1, N, 6) output format: x1,y1,x2,y2,score,class."""
|
||||
from cv_doclayout_detect import _postprocess
|
||||
from ocr.detect.doclayout_detect import _postprocess
|
||||
|
||||
# One detection: figure at (100,100)-(300,300) in 800x800 space
|
||||
raw = np.array([[[100, 100, 300, 300, 0.92, 1]]], dtype=np.float32)
|
||||
@@ -320,7 +320,7 @@ class TestPostprocessing:
|
||||
|
||||
def test_three_tensor_format(self):
|
||||
"""Test parsing of 3-tensor output: boxes, scores, class_ids."""
|
||||
from cv_doclayout_detect import _postprocess
|
||||
from ocr.detect.doclayout_detect import _postprocess
|
||||
|
||||
boxes = np.array([[50, 50, 200, 150]], dtype=np.float32)
|
||||
scores = np.array([0.88], dtype=np.float32)
|
||||
@@ -338,7 +338,7 @@ class TestPostprocessing:
|
||||
|
||||
def test_confidence_filtering(self):
|
||||
"""Detections below threshold should be excluded."""
|
||||
from cv_doclayout_detect import _postprocess
|
||||
from ocr.detect.doclayout_detect import _postprocess
|
||||
|
||||
raw = np.array([
|
||||
[100, 100, 200, 200, 0.9, 1], # above threshold
|
||||
@@ -357,7 +357,7 @@ class TestPostprocessing:
|
||||
|
||||
def test_coordinate_scaling(self):
|
||||
"""Verify coordinates are correctly scaled back to original image."""
|
||||
from cv_doclayout_detect import _postprocess
|
||||
from ocr.detect.doclayout_detect import _postprocess
|
||||
|
||||
# Image was 1600x1200, scaled to fit 800x800 → scale=0.5, pad_y offset
|
||||
scale = 800 / 1600 # 0.5
|
||||
@@ -382,7 +382,7 @@ class TestPostprocessing:
|
||||
assert r.y == 200
|
||||
|
||||
def test_empty_output(self):
|
||||
from cv_doclayout_detect import _postprocess
|
||||
from ocr.detect.doclayout_detect import _postprocess
|
||||
raw = np.array([]).reshape(1, 0, 6).astype(np.float32)
|
||||
regions = _postprocess(
|
||||
outputs=[raw],
|
||||
|
||||
@@ -14,15 +14,15 @@ sys.path.insert(0, '/app')
|
||||
import cv2
|
||||
import numpy as np
|
||||
import pytest
|
||||
from cv_vocab_types import PageZone, DetectedBox
|
||||
from grid_editor_api import (
|
||||
from ocr.types import PageZone, DetectedBox
|
||||
from grid.editor.api import (
|
||||
_merge_content_zones_across_boxes,
|
||||
_filter_border_ghosts,
|
||||
_detect_header_rows,
|
||||
_detect_heading_rows_by_color,
|
||||
_detect_heading_rows_by_single_cell,
|
||||
)
|
||||
from cv_ocr_engines import _text_has_garbled_ipa, fix_ipa_continuation_cell
|
||||
from ocr.engines.engines import _text_has_garbled_ipa, fix_ipa_continuation_cell
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -818,7 +818,7 @@ class TestSlashIpaConversion:
|
||||
def _run_step_5h(self, text: str) -> str:
|
||||
"""Run the Step 5h regex logic on a single text string."""
|
||||
import re
|
||||
from cv_ocr_engines import _lookup_ipa
|
||||
from ocr.engines.engines import _lookup_ipa
|
||||
|
||||
_SLASH_IPA_RE = re.compile(
|
||||
r'(\b[a-zA-Z]+[²³¹]?)\s*'
|
||||
@@ -926,7 +926,7 @@ class TestRedFalsePositiveSuppression:
|
||||
def test_low_saturation_red_classified_as_black(self):
|
||||
"""Black text with slight warm scanner tint (sat ~85) → black, not red."""
|
||||
import numpy as np
|
||||
from cv_color_detect import detect_word_colors
|
||||
from ocr.detect.color_detect import detect_word_colors
|
||||
|
||||
# Create a 40x20 image with dark gray pixels (slight warm tint)
|
||||
# HSV: hue=5 (red range), sat=85 (above 55 threshold but below 90), val=40
|
||||
@@ -941,7 +941,7 @@ class TestRedFalsePositiveSuppression:
|
||||
def test_high_saturation_red_classified_as_red(self):
|
||||
"""Genuinely red text (sat=150) → red."""
|
||||
import numpy as np
|
||||
from cv_color_detect import detect_word_colors
|
||||
from ocr.detect.color_detect import detect_word_colors
|
||||
|
||||
# White background with red text region
|
||||
# Background: white (H=0, S=0, V=255)
|
||||
@@ -984,7 +984,7 @@ class TestBlueBulletFilter:
|
||||
zone = {"zone_index": 0, "cells": [cell], "rows": [], "columns": []}
|
||||
|
||||
# Run the bullet filter logic inline
|
||||
from grid_editor_api import _build_grid_core
|
||||
from grid.editor.api import _build_grid_core
|
||||
# Instead, test the logic directly
|
||||
wbs = cell["word_boxes"]
|
||||
to_remove = set()
|
||||
@@ -1057,7 +1057,7 @@ class TestWordBoxReadingOrder:
|
||||
|
||||
def test_single_line_sorted_by_left(self):
|
||||
"""Words on same Y line sorted by X (left) position."""
|
||||
from cv_ocr_engines import _group_words_into_lines
|
||||
from ocr.engines.engines import _group_words_into_lines
|
||||
wbs = [
|
||||
{"text": "up", "left": 376, "top": 264, "width": 22, "height": 19},
|
||||
{"text": "tie", "left": 284, "top": 264, "width": 23, "height": 14},
|
||||
@@ -1069,7 +1069,7 @@ class TestWordBoxReadingOrder:
|
||||
|
||||
def test_two_lines_preserves_line_order(self):
|
||||
"""Words on two Y lines: first line first, then second line."""
|
||||
from cv_ocr_engines import _group_words_into_lines
|
||||
from ocr.engines.engines import _group_words_into_lines
|
||||
wbs = [
|
||||
{"text": "b)", "left": 100, "top": 290, "width": 20, "height": 15},
|
||||
{"text": "cat", "left": 50, "top": 264, "width": 30, "height": 15},
|
||||
@@ -1082,7 +1082,7 @@ class TestWordBoxReadingOrder:
|
||||
|
||||
def test_already_sorted_unchanged(self):
|
||||
"""Already-sorted word_boxes stay in same order."""
|
||||
from cv_ocr_engines import _group_words_into_lines
|
||||
from ocr.engines.engines import _group_words_into_lines
|
||||
wbs = [
|
||||
{"text": "tie", "left": 284, "top": 264, "width": 23, "height": 14},
|
||||
{"text": "sb/sth", "left": 309, "top": 264, "width": 57, "height": 20},
|
||||
|
||||
@@ -7,7 +7,7 @@ import os
|
||||
# Add parent directory to path so we can import the module
|
||||
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
|
||||
|
||||
from cv_gutter_repair import (
|
||||
from ocr.gutter.repair import (
|
||||
_is_known,
|
||||
_try_hyphen_join,
|
||||
_try_spell_fix,
|
||||
|
||||
@@ -173,7 +173,7 @@ class TestMarkdownParser:
|
||||
|
||||
def test_parse_simple_markdown(self):
|
||||
"""Test parsing simple markdown content."""
|
||||
from github_crawler import MarkdownParser
|
||||
from crawler.github import MarkdownParser
|
||||
|
||||
content = """# Test Title
|
||||
|
||||
@@ -191,21 +191,21 @@ More content here.
|
||||
|
||||
def test_extract_title_from_heading(self):
|
||||
"""Test extracting title from h1 heading."""
|
||||
from github_crawler import MarkdownParser
|
||||
from crawler.github import MarkdownParser
|
||||
|
||||
title = MarkdownParser._extract_title("# My Document\n\nContent", "fallback.md")
|
||||
assert title == "My Document"
|
||||
|
||||
def test_extract_title_fallback(self):
|
||||
"""Test fallback to filename when no heading."""
|
||||
from github_crawler import MarkdownParser
|
||||
from crawler.github import MarkdownParser
|
||||
|
||||
title = MarkdownParser._extract_title("No heading here", "my-document.md")
|
||||
assert title == "My Document"
|
||||
|
||||
def test_detect_german_language(self):
|
||||
"""Test German language detection."""
|
||||
from github_crawler import MarkdownParser
|
||||
from crawler.github import MarkdownParser
|
||||
|
||||
german_text = "Dies ist eine Datenschutzerklaerung fuer die Verarbeitung personenbezogener Daten."
|
||||
lang = MarkdownParser._detect_language(german_text)
|
||||
@@ -213,7 +213,7 @@ More content here.
|
||||
|
||||
def test_detect_english_language(self):
|
||||
"""Test English language detection."""
|
||||
from github_crawler import MarkdownParser
|
||||
from crawler.github import MarkdownParser
|
||||
|
||||
english_text = "This is a privacy policy for processing personal data in our application."
|
||||
lang = MarkdownParser._detect_language(english_text)
|
||||
@@ -221,7 +221,7 @@ More content here.
|
||||
|
||||
def test_find_placeholders(self):
|
||||
"""Test finding placeholder patterns."""
|
||||
from github_crawler import MarkdownParser
|
||||
from crawler.github import MarkdownParser
|
||||
|
||||
content = "Company: [COMPANY_NAME], Contact: {email}, Address: __ADDRESS__"
|
||||
placeholders = MarkdownParser._find_placeholders(content)
|
||||
@@ -236,7 +236,7 @@ class TestHTMLParser:
|
||||
|
||||
def test_parse_simple_html(self):
|
||||
"""Test parsing simple HTML content."""
|
||||
from github_crawler import HTMLParser
|
||||
from crawler.github import HTMLParser
|
||||
|
||||
content = """<!DOCTYPE html>
|
||||
<html>
|
||||
@@ -255,7 +255,7 @@ class TestHTMLParser:
|
||||
|
||||
def test_html_to_text_removes_scripts(self):
|
||||
"""Test that scripts are removed from HTML."""
|
||||
from github_crawler import HTMLParser
|
||||
from crawler.github import HTMLParser
|
||||
|
||||
html = "<p>Text</p><script>alert('bad');</script><p>More</p>"
|
||||
text = HTMLParser._html_to_text(html)
|
||||
@@ -270,7 +270,7 @@ class TestJSONParser:
|
||||
|
||||
def test_parse_simple_json(self):
|
||||
"""Test parsing simple JSON content."""
|
||||
from github_crawler import JSONParser
|
||||
from crawler.github import JSONParser
|
||||
|
||||
content = json.dumps({
|
||||
"title": "Privacy Policy",
|
||||
@@ -286,7 +286,7 @@ class TestJSONParser:
|
||||
|
||||
def test_parse_nested_json(self):
|
||||
"""Test parsing nested JSON structures."""
|
||||
from github_crawler import JSONParser
|
||||
from crawler.github import JSONParser
|
||||
|
||||
content = json.dumps({
|
||||
"sections": {
|
||||
@@ -305,7 +305,7 @@ class TestExtractedDocument:
|
||||
|
||||
def test_extracted_document_hash(self):
|
||||
"""Test that source hash is auto-generated."""
|
||||
from github_crawler import ExtractedDocument
|
||||
from crawler.github import ExtractedDocument
|
||||
|
||||
doc = ExtractedDocument(
|
||||
text="Some content",
|
||||
@@ -396,7 +396,7 @@ class TestLegalTemplatesIngestion:
|
||||
def test_infer_template_type_privacy(self):
|
||||
"""Test inferring privacy policy type."""
|
||||
from legal_templates_ingestion import LegalTemplatesIngestion
|
||||
from github_crawler import ExtractedDocument
|
||||
from crawler.github import ExtractedDocument
|
||||
from template_sources import SourceConfig, LicenseType
|
||||
|
||||
with patch('legal_templates_ingestion.QdrantClient'):
|
||||
@@ -449,7 +449,7 @@ class TestTemplatesAdminAPI:
|
||||
|
||||
def test_templates_status_structure(self):
|
||||
"""Test the structure of templates status response."""
|
||||
from admin_api import _templates_ingestion_status
|
||||
from admin.api import _templates_ingestion_status
|
||||
|
||||
# Reset status
|
||||
_templates_ingestion_status["running"] = False
|
||||
@@ -462,7 +462,7 @@ class TestTemplatesAdminAPI:
|
||||
|
||||
def test_templates_status_running(self):
|
||||
"""Test status when ingestion is running."""
|
||||
from admin_api import _templates_ingestion_status
|
||||
from admin.api import _templates_ingestion_status
|
||||
|
||||
_templates_ingestion_status["running"] = True
|
||||
_templates_ingestion_status["current_source"] = "github-site-policy"
|
||||
@@ -473,7 +473,7 @@ class TestTemplatesAdminAPI:
|
||||
|
||||
def test_templates_results_tracking(self):
|
||||
"""Test that ingestion results are tracked correctly."""
|
||||
from admin_api import _templates_ingestion_status
|
||||
from admin.api import _templates_ingestion_status
|
||||
|
||||
_templates_ingestion_status["results"] = {
|
||||
"github-site-policy": {
|
||||
@@ -578,7 +578,7 @@ class TestTemplatesIntegration:
|
||||
def test_full_chunk_creation_pipeline(self, mock_all_services):
|
||||
"""Test the full chunk creation pipeline."""
|
||||
from legal_templates_ingestion import LegalTemplatesIngestion
|
||||
from github_crawler import ExtractedDocument
|
||||
from crawler.github import ExtractedDocument
|
||||
from template_sources import SourceConfig, LicenseType
|
||||
|
||||
ingestion = LegalTemplatesIngestion()
|
||||
|
||||
@@ -5,7 +5,7 @@ import sys
|
||||
import os
|
||||
|
||||
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
|
||||
from cv_cell_grid import _merge_wrapped_rows
|
||||
from ocr.cell_grid.cell_grid import _merge_wrapped_rows
|
||||
|
||||
|
||||
def _entry(row_index, english='', german='', example=''):
|
||||
|
||||
@@ -124,8 +124,8 @@ class TestSessionCreation:
|
||||
@pytest.mark.asyncio
|
||||
async def test_create_session_success(self, mock_db_pool):
|
||||
"""Test successful session creation."""
|
||||
from ocr_labeling_api import SessionCreate
|
||||
from metrics_db import create_ocr_labeling_session
|
||||
from ocr.labeling.api import SessionCreate
|
||||
from metrics.db import create_ocr_labeling_session
|
||||
|
||||
pool, conn = mock_db_pool
|
||||
conn.execute.return_value = None
|
||||
@@ -144,7 +144,7 @@ class TestSessionCreation:
|
||||
|
||||
def test_session_create_model_validation(self):
|
||||
"""Test SessionCreate model validation."""
|
||||
from ocr_labeling_api import SessionCreate
|
||||
from ocr.labeling.api import SessionCreate
|
||||
|
||||
# Valid session
|
||||
session = SessionCreate(
|
||||
@@ -158,7 +158,7 @@ class TestSessionCreation:
|
||||
|
||||
def test_session_create_with_custom_model(self):
|
||||
"""Test SessionCreate with custom OCR model."""
|
||||
from ocr_labeling_api import SessionCreate
|
||||
from ocr.labeling.api import SessionCreate
|
||||
|
||||
session = SessionCreate(
|
||||
name="TrOCR Session",
|
||||
@@ -174,7 +174,7 @@ class TestSessionListing:
|
||||
@pytest.mark.asyncio
|
||||
async def test_get_sessions_empty(self):
|
||||
"""Test getting sessions when none exist."""
|
||||
from metrics_db import get_ocr_labeling_sessions
|
||||
from metrics.db import get_ocr_labeling_sessions
|
||||
|
||||
with patch('metrics_db.get_pool', new_callable=AsyncMock, return_value=None):
|
||||
sessions = await get_ocr_labeling_sessions()
|
||||
@@ -183,7 +183,7 @@ class TestSessionListing:
|
||||
@pytest.mark.asyncio
|
||||
async def test_get_session_not_found(self):
|
||||
"""Test getting a non-existent session."""
|
||||
from metrics_db import get_ocr_labeling_session
|
||||
from metrics.db import get_ocr_labeling_session
|
||||
|
||||
with patch('metrics_db.get_pool', new_callable=AsyncMock, return_value=None):
|
||||
session = await get_ocr_labeling_session("non-existent-id")
|
||||
@@ -199,7 +199,7 @@ class TestImageUpload:
|
||||
|
||||
def test_compute_image_hash(self):
|
||||
"""Test image hash computation."""
|
||||
from ocr_labeling_api import compute_image_hash
|
||||
from ocr.labeling.api import compute_image_hash
|
||||
|
||||
image_data = b"\x89PNG fake image data"
|
||||
hash1 = compute_image_hash(image_data)
|
||||
@@ -211,7 +211,7 @@ class TestImageUpload:
|
||||
|
||||
def test_compute_image_hash_different_data(self):
|
||||
"""Test that different images produce different hashes."""
|
||||
from ocr_labeling_api import compute_image_hash
|
||||
from ocr.labeling.api import compute_image_hash
|
||||
|
||||
hash1 = compute_image_hash(b"image 1 data")
|
||||
hash2 = compute_image_hash(b"image 2 data")
|
||||
@@ -220,11 +220,11 @@ class TestImageUpload:
|
||||
|
||||
def test_save_image_locally(self, tmp_path):
|
||||
"""Test local image saving."""
|
||||
from ocr_labeling_api import save_image_locally, LOCAL_STORAGE_PATH
|
||||
from ocr.labeling.api import save_image_locally, LOCAL_STORAGE_PATH
|
||||
|
||||
# Temporarily override storage path
|
||||
with patch('ocr_labeling_api.LOCAL_STORAGE_PATH', str(tmp_path)):
|
||||
from ocr_labeling_api import save_image_locally
|
||||
from ocr.labeling.api import save_image_locally
|
||||
|
||||
image_data = b"\x89PNG fake image data"
|
||||
filepath = save_image_locally(
|
||||
@@ -241,7 +241,7 @@ class TestImageUpload:
|
||||
|
||||
def test_get_image_url_local(self):
|
||||
"""Test URL generation for local images."""
|
||||
from ocr_labeling_api import get_image_url, LOCAL_STORAGE_PATH
|
||||
from ocr.labeling.api import get_image_url, LOCAL_STORAGE_PATH
|
||||
|
||||
local_path = f"{LOCAL_STORAGE_PATH}/session-123/item-456.png"
|
||||
url = get_image_url(local_path)
|
||||
@@ -250,7 +250,7 @@ class TestImageUpload:
|
||||
|
||||
def test_get_image_url_minio(self):
|
||||
"""Test URL for MinIO images (passthrough)."""
|
||||
from ocr_labeling_api import get_image_url
|
||||
from ocr.labeling.api import get_image_url
|
||||
|
||||
minio_path = "ocr-labeling/session-123/item-456.png"
|
||||
url = get_image_url(minio_path)
|
||||
@@ -269,7 +269,7 @@ class TestConfirmLabel:
|
||||
@pytest.mark.asyncio
|
||||
async def test_confirm_label_success(self, mock_db_pool):
|
||||
"""Test successful label confirmation."""
|
||||
from metrics_db import confirm_ocr_label
|
||||
from metrics.db import confirm_ocr_label
|
||||
|
||||
pool, conn = mock_db_pool
|
||||
conn.fetchrow.return_value = {"ocr_text": "Test text"}
|
||||
@@ -287,7 +287,7 @@ class TestConfirmLabel:
|
||||
|
||||
def test_confirm_request_validation(self):
|
||||
"""Test ConfirmRequest model validation."""
|
||||
from ocr_labeling_api import ConfirmRequest
|
||||
from ocr.labeling.api import ConfirmRequest
|
||||
|
||||
request = ConfirmRequest(
|
||||
item_id="item-456",
|
||||
@@ -303,7 +303,7 @@ class TestCorrectLabel:
|
||||
@pytest.mark.asyncio
|
||||
async def test_correct_label_success(self, mock_db_pool):
|
||||
"""Test successful label correction."""
|
||||
from metrics_db import correct_ocr_label
|
||||
from metrics.db import correct_ocr_label
|
||||
|
||||
pool, conn = mock_db_pool
|
||||
conn.execute.return_value = None
|
||||
@@ -321,7 +321,7 @@ class TestCorrectLabel:
|
||||
|
||||
def test_correct_request_validation(self):
|
||||
"""Test CorrectRequest model validation."""
|
||||
from ocr_labeling_api import CorrectRequest
|
||||
from ocr.labeling.api import CorrectRequest
|
||||
|
||||
request = CorrectRequest(
|
||||
item_id="item-456",
|
||||
@@ -338,7 +338,7 @@ class TestSkipItem:
|
||||
@pytest.mark.asyncio
|
||||
async def test_skip_item_success(self, mock_db_pool):
|
||||
"""Test successful item skip."""
|
||||
from metrics_db import skip_ocr_item
|
||||
from metrics.db import skip_ocr_item
|
||||
|
||||
pool, conn = mock_db_pool
|
||||
conn.execute.return_value = None
|
||||
@@ -363,7 +363,7 @@ class TestLabelingStats:
|
||||
@pytest.mark.asyncio
|
||||
async def test_get_stats_no_db(self):
|
||||
"""Test stats when database is not available."""
|
||||
from metrics_db import get_ocr_labeling_stats
|
||||
from metrics.db import get_ocr_labeling_stats
|
||||
|
||||
with patch('metrics_db.get_pool', new_callable=AsyncMock, return_value=None):
|
||||
stats = await get_ocr_labeling_stats()
|
||||
@@ -371,7 +371,7 @@ class TestLabelingStats:
|
||||
|
||||
def test_stats_response_model(self):
|
||||
"""Test StatsResponse model structure."""
|
||||
from ocr_labeling_api import StatsResponse
|
||||
from ocr.labeling.api import StatsResponse
|
||||
|
||||
stats = StatsResponse(
|
||||
total_items=100,
|
||||
@@ -395,7 +395,7 @@ class TestTrainingExport:
|
||||
|
||||
def test_export_request_validation(self):
|
||||
"""Test ExportRequest model validation."""
|
||||
from ocr_labeling_api import ExportRequest
|
||||
from ocr.labeling.api import ExportRequest
|
||||
|
||||
# Default format is generic
|
||||
request = ExportRequest()
|
||||
@@ -412,7 +412,7 @@ class TestTrainingExport:
|
||||
@pytest.mark.asyncio
|
||||
async def test_export_training_samples(self, mock_db_pool):
|
||||
"""Test training sample export from database."""
|
||||
from metrics_db import export_training_samples
|
||||
from metrics.db import export_training_samples
|
||||
|
||||
pool, conn = mock_db_pool
|
||||
conn.fetch.return_value = [
|
||||
@@ -495,7 +495,7 @@ class TestOCRProcessing:
|
||||
@pytest.mark.asyncio
|
||||
async def test_run_ocr_on_image_no_service(self):
|
||||
"""Test OCR when service is not available."""
|
||||
from ocr_labeling_api import run_ocr_on_image
|
||||
from ocr.labeling.api import run_ocr_on_image
|
||||
|
||||
with patch('ocr_labeling_api.VISION_OCR_AVAILABLE', False), \
|
||||
patch('ocr_labeling_api.PADDLEOCR_AVAILABLE', False), \
|
||||
@@ -512,7 +512,7 @@ class TestOCRProcessing:
|
||||
@pytest.mark.asyncio
|
||||
async def test_run_ocr_on_image_success(self, mock_vision_ocr):
|
||||
"""Test successful OCR processing."""
|
||||
from ocr_labeling_api import run_ocr_on_image
|
||||
from ocr.labeling.api import run_ocr_on_image
|
||||
|
||||
text, confidence = await run_ocr_on_image(
|
||||
image_data=b"fake image",
|
||||
@@ -533,7 +533,7 @@ class TestOCRModelDispatcher:
|
||||
@pytest.mark.asyncio
|
||||
async def test_dispatcher_vision_model_default(self, mock_vision_ocr):
|
||||
"""Test dispatcher uses Vision OCR by default."""
|
||||
from ocr_labeling_api import run_ocr_on_image
|
||||
from ocr.labeling.api import run_ocr_on_image
|
||||
|
||||
text, confidence = await run_ocr_on_image(
|
||||
image_data=b"fake image",
|
||||
@@ -547,7 +547,7 @@ class TestOCRModelDispatcher:
|
||||
@pytest.mark.asyncio
|
||||
async def test_dispatcher_paddleocr_model(self):
|
||||
"""Test dispatcher routes to PaddleOCR."""
|
||||
from ocr_labeling_api import run_ocr_on_image
|
||||
from ocr.labeling.api import run_ocr_on_image
|
||||
|
||||
# Mock PaddleOCR
|
||||
mock_regions = []
|
||||
@@ -567,7 +567,7 @@ class TestOCRModelDispatcher:
|
||||
@pytest.mark.asyncio
|
||||
async def test_dispatcher_paddleocr_fallback_to_vision(self, mock_vision_ocr):
|
||||
"""Test PaddleOCR falls back to Vision OCR when unavailable."""
|
||||
from ocr_labeling_api import run_ocr_on_image
|
||||
from ocr.labeling.api import run_ocr_on_image
|
||||
|
||||
with patch('ocr_labeling_api.PADDLEOCR_AVAILABLE', False):
|
||||
text, confidence = await run_ocr_on_image(
|
||||
@@ -583,7 +583,7 @@ class TestOCRModelDispatcher:
|
||||
@pytest.mark.asyncio
|
||||
async def test_dispatcher_trocr_model(self):
|
||||
"""Test dispatcher routes to TrOCR."""
|
||||
from ocr_labeling_api import run_ocr_on_image
|
||||
from ocr.labeling.api import run_ocr_on_image
|
||||
|
||||
async def mock_trocr(image_data):
|
||||
return "TrOCR erkannter Text", 0.85
|
||||
@@ -603,7 +603,7 @@ class TestOCRModelDispatcher:
|
||||
@pytest.mark.asyncio
|
||||
async def test_dispatcher_donut_model(self):
|
||||
"""Test dispatcher routes to Donut."""
|
||||
from ocr_labeling_api import run_ocr_on_image
|
||||
from ocr.labeling.api import run_ocr_on_image
|
||||
|
||||
async def mock_donut(image_data):
|
||||
return "Donut erkannter Text", 0.80
|
||||
@@ -623,7 +623,7 @@ class TestOCRModelDispatcher:
|
||||
@pytest.mark.asyncio
|
||||
async def test_dispatcher_unknown_model_uses_vision(self, mock_vision_ocr):
|
||||
"""Test dispatcher uses Vision OCR for unknown models."""
|
||||
from ocr_labeling_api import run_ocr_on_image
|
||||
from ocr.labeling.api import run_ocr_on_image
|
||||
|
||||
text, confidence = await run_ocr_on_image(
|
||||
image_data=b"fake image",
|
||||
@@ -641,7 +641,7 @@ class TestOCRModelTypes:
|
||||
|
||||
def test_session_with_paddleocr_model(self):
|
||||
"""Test session creation with PaddleOCR model."""
|
||||
from ocr_labeling_api import SessionCreate
|
||||
from ocr.labeling.api import SessionCreate
|
||||
|
||||
session = SessionCreate(
|
||||
name="PaddleOCR Session",
|
||||
@@ -653,7 +653,7 @@ class TestOCRModelTypes:
|
||||
|
||||
def test_session_with_donut_model(self):
|
||||
"""Test session creation with Donut model."""
|
||||
from ocr_labeling_api import SessionCreate
|
||||
from ocr.labeling.api import SessionCreate
|
||||
|
||||
session = SessionCreate(
|
||||
name="Donut Session",
|
||||
@@ -665,7 +665,7 @@ class TestOCRModelTypes:
|
||||
|
||||
def test_session_with_trocr_model(self):
|
||||
"""Test session creation with TrOCR model."""
|
||||
from ocr_labeling_api import SessionCreate
|
||||
from ocr.labeling.api import SessionCreate
|
||||
|
||||
session = SessionCreate(
|
||||
name="TrOCR Session",
|
||||
@@ -685,7 +685,7 @@ class TestResponseModels:
|
||||
|
||||
def test_session_response_model(self):
|
||||
"""Test SessionResponse model."""
|
||||
from ocr_labeling_api import SessionResponse
|
||||
from ocr.labeling.api import SessionResponse
|
||||
|
||||
session = SessionResponse(
|
||||
id="session-123",
|
||||
@@ -706,7 +706,7 @@ class TestResponseModels:
|
||||
|
||||
def test_item_response_model(self):
|
||||
"""Test ItemResponse model."""
|
||||
from ocr_labeling_api import ItemResponse
|
||||
from ocr.labeling.api import ItemResponse
|
||||
|
||||
item = ItemResponse(
|
||||
id="item-456",
|
||||
@@ -735,7 +735,7 @@ class TestDeduplication:
|
||||
|
||||
def test_hash_based_deduplication(self):
|
||||
"""Test that same images produce same hash for deduplication."""
|
||||
from ocr_labeling_api import compute_image_hash
|
||||
from ocr.labeling.api import compute_image_hash
|
||||
|
||||
# Same content should be detected as duplicate
|
||||
image1 = b"\x89PNG\x0d\x0a\x1a\x0a test image content"
|
||||
@@ -748,7 +748,7 @@ class TestDeduplication:
|
||||
|
||||
def test_unique_images_different_hash(self):
|
||||
"""Test that different images produce different hashes."""
|
||||
from ocr_labeling_api import compute_image_hash
|
||||
from ocr.labeling.api import compute_image_hash
|
||||
|
||||
image1 = b"\x89PNG unique content 1"
|
||||
image2 = b"\x89PNG unique content 2"
|
||||
|
||||
@@ -13,7 +13,7 @@ import os
|
||||
|
||||
sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
|
||||
|
||||
from ocr_pipeline_api import (
|
||||
from ocr.pipeline.api import (
|
||||
_split_paddle_multi_words,
|
||||
_group_words_into_rows,
|
||||
_merge_row_sequences,
|
||||
|
||||
@@ -13,7 +13,7 @@ Tests cover:
|
||||
import numpy as np
|
||||
import pytest
|
||||
|
||||
from page_crop import (
|
||||
from ocr.pipeline.page_crop import (
|
||||
detect_and_crop_page,
|
||||
detect_page_splits,
|
||||
_detect_format,
|
||||
|
||||
@@ -56,7 +56,7 @@ class TestIngestionStatus:
|
||||
|
||||
def test_status_not_running(self):
|
||||
"""Test status when no ingestion is running."""
|
||||
from admin_api import _ingestion_status
|
||||
from admin.api import _ingestion_status
|
||||
|
||||
# Reset status
|
||||
_ingestion_status["running"] = False
|
||||
@@ -67,7 +67,7 @@ class TestIngestionStatus:
|
||||
|
||||
def test_status_running(self):
|
||||
"""Test status when ingestion is running."""
|
||||
from admin_api import _ingestion_status
|
||||
from admin.api import _ingestion_status
|
||||
|
||||
_ingestion_status["running"] = True
|
||||
_ingestion_status["last_run"] = datetime.now().isoformat()
|
||||
@@ -81,7 +81,7 @@ class TestUploadAPI:
|
||||
|
||||
def test_upload_record_creation(self):
|
||||
"""Test that upload records are created correctly."""
|
||||
from admin_api import _upload_history
|
||||
from admin.api import _upload_history
|
||||
|
||||
# Clear history
|
||||
_upload_history.clear()
|
||||
@@ -102,7 +102,7 @@ class TestUploadAPI:
|
||||
|
||||
def test_upload_history_limit(self):
|
||||
"""Test that upload history is limited to 100 entries."""
|
||||
from admin_api import _upload_history
|
||||
from admin.api import _upload_history
|
||||
|
||||
_upload_history.clear()
|
||||
|
||||
@@ -187,7 +187,7 @@ class TestMetricsDB:
|
||||
@pytest.mark.asyncio
|
||||
async def test_store_feedback_no_pool(self):
|
||||
"""Test feedback storage when DB is not available."""
|
||||
from metrics_db import store_feedback
|
||||
from metrics.db import store_feedback
|
||||
|
||||
with patch('metrics_db.get_pool', new_callable=AsyncMock, return_value=None):
|
||||
result = await store_feedback(
|
||||
@@ -199,7 +199,7 @@ class TestMetricsDB:
|
||||
@pytest.mark.asyncio
|
||||
async def test_calculate_metrics_no_pool(self):
|
||||
"""Test metrics calculation when DB is not available."""
|
||||
from metrics_db import calculate_metrics
|
||||
from metrics.db import calculate_metrics
|
||||
|
||||
with patch('metrics_db.get_pool', new_callable=AsyncMock, return_value=None):
|
||||
metrics = await calculate_metrics()
|
||||
@@ -214,7 +214,7 @@ class TestMetricsDB:
|
||||
]
|
||||
|
||||
# Read the metrics_db module to check table names
|
||||
from metrics_db import init_metrics_tables
|
||||
from metrics.db import init_metrics_tables
|
||||
|
||||
# The function should create these tables
|
||||
assert callable(init_metrics_tables)
|
||||
@@ -231,8 +231,8 @@ class TestRAGIntegration:
|
||||
@pytest.mark.asyncio
|
||||
async def test_nibis_search(self):
|
||||
"""Test NiBiS semantic search."""
|
||||
from admin_api import search_nibis
|
||||
from admin_api import NiBiSSearchRequest
|
||||
from admin.api import search_nibis
|
||||
from admin.api import NiBiSSearchRequest
|
||||
|
||||
request = NiBiSSearchRequest(
|
||||
query="Gedichtanalyse Expressionismus",
|
||||
@@ -265,7 +265,7 @@ class TestRAGIntegration:
|
||||
@pytest.mark.asyncio
|
||||
async def test_metrics_storage(self):
|
||||
"""Test metrics storage in PostgreSQL."""
|
||||
from metrics_db import store_feedback, calculate_metrics
|
||||
from metrics.db import store_feedback, calculate_metrics
|
||||
|
||||
# This would require PostgreSQL running
|
||||
# stored = await store_feedback(
|
||||
@@ -330,7 +330,7 @@ class TestEmbeddings:
|
||||
|
||||
def test_vector_dimensions(self):
|
||||
"""Test that vector dimensions are configured correctly."""
|
||||
from eh_pipeline import get_vector_size, EMBEDDING_BACKEND
|
||||
from korrektur.eh_pipeline import get_vector_size, EMBEDDING_BACKEND
|
||||
|
||||
size = get_vector_size()
|
||||
|
||||
@@ -341,7 +341,7 @@ class TestEmbeddings:
|
||||
|
||||
def test_chunking_config(self):
|
||||
"""Test chunking configuration."""
|
||||
from eh_pipeline import CHUNK_SIZE, CHUNK_OVERLAP
|
||||
from korrektur.eh_pipeline import CHUNK_SIZE, CHUNK_OVERLAP
|
||||
|
||||
assert CHUNK_SIZE > 0
|
||||
assert CHUNK_OVERLAP >= 0
|
||||
|
||||
@@ -30,7 +30,7 @@ from datetime import datetime, timezone, timedelta
|
||||
|
||||
import sys
|
||||
sys.path.insert(0, '..')
|
||||
from rbac import (
|
||||
from compliance.rbac import (
|
||||
Role,
|
||||
Action,
|
||||
ResourceType,
|
||||
|
||||
@@ -4,7 +4,7 @@ import pytest
|
||||
import sys, os
|
||||
sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
|
||||
|
||||
from smart_spell import SmartSpellChecker, CorrectionResult
|
||||
from ocr.spell.smart_spell import SmartSpellChecker, CorrectionResult
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
|
||||
@@ -4,7 +4,7 @@ import pytest
|
||||
import sys, os
|
||||
sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
|
||||
|
||||
from unified_grid import (
|
||||
from grid.unified import (
|
||||
_compute_dominant_row_height,
|
||||
_classify_boxes,
|
||||
build_unified_grid,
|
||||
|
||||
@@ -37,7 +37,7 @@ from fastapi.testclient import TestClient
|
||||
# Import the main app and vocab-worksheet components
|
||||
sys.path.insert(0, '..')
|
||||
from main import app
|
||||
from vocab_worksheet_api import (
|
||||
from vocab.worksheet.api import (
|
||||
_sessions,
|
||||
_worksheets,
|
||||
SessionStatus,
|
||||
|
||||
@@ -7,7 +7,7 @@ uses dynamic programming + dictionary lookup to find valid splits.
|
||||
|
||||
import pytest
|
||||
|
||||
from cv_review import _try_split_merged_word, _spell_dict_knows, _SPELL_AVAILABLE
|
||||
from ocr.review.review import _try_split_merged_word, _spell_dict_knows, _SPELL_AVAILABLE
|
||||
|
||||
pytestmark = pytest.mark.skipif(
|
||||
not _SPELL_AVAILABLE,
|
||||
|
||||
@@ -35,7 +35,7 @@ from fastapi.testclient import TestClient
|
||||
# Import the main app and worksheet-editor components
|
||||
sys.path.insert(0, '..')
|
||||
from main import app
|
||||
from worksheet_editor_api import (
|
||||
from worksheet.editor_api import (
|
||||
worksheets_db,
|
||||
AIImageStyle,
|
||||
WorksheetStatus,
|
||||
|
||||
Reference in New Issue
Block a user