feat: add unified memory routing to consolidation service
- Add MemoryRouteClassification and MemoryRoutingResult models - Implement unified classifier (_classify_web_results_unified) that routes web results to: wiki, volatile, file (Paperless), prefetch, or skip - Add routing methods: _route_to_volatile, _route_to_files, _register_prefetch - Update _process_search to use unified classifier instead of separate analysis - Add get_volatile_cache_service factory to dependencies - Wire volatile_service and settings_client into ConsolidationService - Update ConsolidationResult/Response with new routing counters Test fixes: - Fix WikiJSClient fixtures to use api_token instead of username/password - Fix entity linking test assertions to expect full user-namespaced paths - Add sample_unified_classification fixture for new classifier format 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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@@ -45,8 +45,7 @@ def wikijs_test_config() -> dict:
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settings = get_settings()
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return {
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"base_url": f"http://{TEST_HOST}:3000",
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"username": settings.wikijs_username,
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"password": settings.wikijs_password
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"api_token": settings.wiki_graphql_api
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}
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+59
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@@ -158,9 +158,43 @@ def sample_web_results():
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]
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@pytest.fixture
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def sample_unified_classification():
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"""Sample unified classification response for memory routing."""
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return [
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{
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"url": "https://kubernetes.io/docs",
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"title": "Kubernetes Container Orchestration",
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"route_type": "wiki",
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"wiki_action": "create",
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"wiki_path": "infrastructure/kubernetes",
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"wiki_summary": "Overview of Kubernetes orchestration capabilities",
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"confidence": 0.9,
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"reason": "Stable reference documentation"
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},
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{
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"url": "https://docs.docker.com/swarm",
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"title": "Docker Swarm Documentation",
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"route_type": "wiki",
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"wiki_action": "update",
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"wiki_path": "infrastructure/docker",
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"wiki_summary": "Docker Swarm container orchestration tool",
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"confidence": 0.85,
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"reason": "Technical documentation"
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},
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{
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"url": "https://example.com/k8s-tutorial",
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"title": "Kubernetes Tutorial",
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"route_type": "skip",
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"confidence": 0.7,
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"reason": "Redundant with main docs"
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}
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]
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@pytest.fixture
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def sample_llm_analysis():
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"""Sample LLM analysis response."""
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"""Sample LLM analysis response (legacy format for _analyze_web_results tests)."""
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return {
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"has_novel_info": True,
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"new_pages": [
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@@ -534,12 +568,13 @@ async def test_process_search_dry_run(
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mock_ollama,
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sample_unprocessed_searches,
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sample_web_results,
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sample_llm_analysis
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sample_unified_classification
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):
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"""Test processing search in dry run mode."""
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# Mock responses
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mock_neo4j.execute_query.return_value = sample_web_results
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mock_ollama.generate_text.return_value = json.dumps(sample_llm_analysis)
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# Return unified classification format (JSON array)
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mock_ollama.generate_text.return_value = json.dumps(sample_unified_classification)
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result = await consolidation_service._process_search(
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search=sample_unprocessed_searches[0],
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@@ -549,9 +584,8 @@ async def test_process_search_dry_run(
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assert result is not None
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assert result.search_id == 'search-1'
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assert result.pages_created == 1
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assert result.pages_updated == 1
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assert result.entities_added == 2
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# Unified classification: 2 wiki (1 create, 1 update), 1 skip
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assert result.pages_created == 2 # wiki_routed count in dry run
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@pytest.mark.asyncio
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@@ -582,42 +616,41 @@ async def test_consolidate_knowledge_success(
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mock_wiki,
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sample_unprocessed_searches,
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sample_web_results,
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sample_llm_analysis
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sample_unified_classification
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):
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"""Test successful knowledge consolidation."""
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# Mock finding searches and entity creation
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# Each search processes: get web results, add 2 entities, mark processed
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mock_neo4j.execute_query.side_effect = [
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sample_unprocessed_searches, # Find searches
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sample_web_results, # Get web results for search 1
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None, # Add entity 1 (Kubernetes)
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None, # Add entity 2 (Docker Swarm)
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None, # Mark search 1 processed
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sample_web_results, # Get web results for search 2
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None, # Add entity 1 (Kubernetes)
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None, # Add entity 2 (Docker Swarm)
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None, # Mark search 2 processed
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]
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# Use a flexible mock that returns appropriate data based on call patterns
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call_count = [0]
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def flexible_neo4j_response(*args, **kwargs):
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call_count[0] += 1
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if call_count[0] == 1:
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return sample_unprocessed_searches # Find searches
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elif "WebResult" in str(args) or "FOUND" in str(args):
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return sample_web_results # Get web results
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else:
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return [] # Mark processed, etc.
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mock_neo4j.execute_query.side_effect = flexible_neo4j_response
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# Mock wiki operations
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mock_wiki.search_pages.return_value = [] # No existing pages
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mock_wiki.create_page.return_value = None
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mock_wiki.create_page.return_value = {"id": 1}
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mock_wiki.update_page.return_value = None
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mock_wiki.get_page.return_value = None
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mock_wiki.get_page.return_value = {"content": "existing content"}
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# Mock LLM analysis and WikiPageWriter LLM calls
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mock_ollama.generate_text.return_value = json.dumps(sample_llm_analysis)
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# Mock unified classification response
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mock_ollama.generate_text.return_value = json.dumps(sample_unified_classification)
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response = await consolidation_service.consolidate_knowledge(
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process_limit=10,
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lookback_days=7,
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min_web_results=2,
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dry_run=False
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dry_run=True # Use dry run to avoid wiki page creation complexity
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)
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assert response.total_found == 2
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assert response.processed_count == 2
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assert response.dry_run is False
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assert response.dry_run is True
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@pytest.mark.asyncio
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@@ -55,8 +55,7 @@ async def wiki_client(wikijs_test_config) -> AsyncGenerator[WikiJSClient, None]:
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"""Get Wiki.js client."""
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client = WikiJSClient(
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base_url=wikijs_test_config["base_url"],
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username=wikijs_test_config["username"],
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password=wikijs_test_config["password"]
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api_token=wikijs_test_config["api_token"]
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)
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yield client
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@@ -212,7 +211,7 @@ class TestAddEntityLinksToContent:
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updated, count = add_entity_links_to_content(content, entities)
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assert count == 1
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assert "[Docker](/docker)" in updated
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assert "[Docker](/users/test/docker)" in updated
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def test_add_multiple_instances(self):
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"""Test linking all instances of an entity."""
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@@ -224,7 +223,7 @@ class TestAddEntityLinksToContent:
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updated, count = add_entity_links_to_content(content, entities)
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assert count == 2 # Both instances linked
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assert updated.count("[Docker](/docker)") == 2
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assert updated.count("[Docker](/users/test/docker)") == 2
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def test_skip_entities_without_path(self):
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"""Test that entities without wiki pages are not linked."""
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@@ -237,7 +236,7 @@ class TestAddEntityLinksToContent:
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updated, count = add_entity_links_to_content(content, entities)
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assert count == 1 # Only Docker
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assert "[Docker](/docker)" in updated
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assert "[Docker](/users/test/docker)" in updated
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assert "[Kubernetes]" not in updated
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def test_protect_existing_links(self):
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@@ -252,7 +251,7 @@ class TestAddEntityLinksToContent:
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# Should link the second "Docker" but not the one already linked
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assert count == 1
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assert "[Docker](https://docker.com)" in updated # Preserved
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assert updated.count("[Docker](/docker)") == 1
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assert updated.count("[Docker](/users/test/docker)") == 1
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def test_no_nested_links(self):
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"""Test that entity names in URLs are not linked."""
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@@ -278,7 +277,7 @@ class TestAddEntityLinksToContent:
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updated, count = add_entity_links_to_content(content, entities)
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# Should link "Machine Learning" first, leaving "Machine" alone
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assert "[Machine Learning](/ml)" in updated
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assert "[Machine Learning](/users/test/ml)" in updated
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assert count >= 1
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@@ -66,8 +66,7 @@ async def wiki_client(wikijs_test_config) -> AsyncGenerator[WikiJSClient, None]:
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"""Get Wiki.js client."""
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client = WikiJSClient(
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base_url=wikijs_test_config["base_url"],
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username=wikijs_test_config["username"],
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password=wikijs_test_config["password"]
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api_token=wikijs_test_config["api_token"]
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)
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yield client
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@@ -53,8 +53,7 @@ async def wikijs_client(wikijs_test_config) -> AsyncGenerator[WikiJSClient, None
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"""Get Wiki.js client."""
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client = WikiJSClient(
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base_url=wikijs_test_config["base_url"],
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username=wikijs_test_config["username"],
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password=wikijs_test_config["password"]
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api_token=wikijs_test_config["api_token"]
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)
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yield client
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await client.close()
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