mirror of
https://github.com/basicmachines-co/basic-memory
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020957cd76
Signed-off-by: phernandez <paul@basicmachines.co> Co-authored-by: phernandez <paul@basicmachines.co> Co-authored-by: Claude <noreply@anthropic.com>
168 lines
5.8 KiB
Python
168 lines
5.8 KiB
Python
"""Tests for MCP prompts."""
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from datetime import timezone, datetime
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import pytest
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from basic_memory.mcp.prompts.continue_conversation import continue_conversation
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from basic_memory.mcp.prompts.search import search_prompt
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from basic_memory.mcp.prompts.recent_activity import recent_activity_prompt
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@pytest.mark.asyncio
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async def test_continue_conversation_with_topic(client, test_graph):
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"""Test continue_conversation with a topic."""
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# We can use the test_graph fixture which already has relevant content
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# Call the function with a topic that should match existing content
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result = await continue_conversation(topic="Root", timeframe="1w")
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# Check that the result contains expected content
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assert "Continuing conversation on: Root" in result
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assert "This is a memory retrieval session" in result
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assert "Start by executing one of the suggested commands" in result
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@pytest.mark.asyncio
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async def test_continue_conversation_with_recent_activity(client, test_graph):
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"""Test continue_conversation with no topic, using recent activity."""
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# Call the function without a topic
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result = await continue_conversation(timeframe="1w")
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# Check that the result contains expected content for recent activity
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assert "Continuing conversation on: Recent Activity" in result
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assert "This is a memory retrieval session" in result
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assert "Please use the available basic-memory tools" in result
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assert "Next Steps" in result
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@pytest.mark.asyncio
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async def test_continue_conversation_no_results(client):
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"""Test continue_conversation when no results are found."""
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# Call with a non-existent topic
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result = await continue_conversation(topic="NonExistentTopic", timeframe="1w")
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# Check the response indicates no results found
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assert "Continuing conversation on: NonExistentTopic" in result
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assert "The supplied query did not return any information" in result
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@pytest.mark.asyncio
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async def test_continue_conversation_creates_structured_suggestions(client, test_graph):
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"""Test that continue_conversation generates structured tool usage suggestions."""
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# Call the function with a topic that should match existing content
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result = await continue_conversation(topic="Root", timeframe="1w")
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# Verify the response includes clear tool usage instructions
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assert "start by executing one of the suggested commands" in result.lower()
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# Check that the response contains tool call examples
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assert "read_note" in result
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assert "search" in result
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assert "recent_activity" in result
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# Search prompt tests
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@pytest.mark.asyncio
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async def test_search_prompt_with_results(client, test_graph):
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"""Test search_prompt with a query that returns results."""
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# Call the function with a query that should match existing content
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result = await search_prompt("Root")
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# Check the response contains expected content
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assert 'Search Results for: "Root"' in result
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assert "I found " in result
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assert "You can view this content with: `read_note" in result
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assert "Synthesize and Capture Knowledge" in result
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@pytest.mark.asyncio
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async def test_search_prompt_with_timeframe(client, test_graph):
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"""Test search_prompt with a timeframe."""
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# Call the function with a query and timeframe
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result = await search_prompt("Root", timeframe="1w")
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# Check the response includes timeframe information
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assert 'Search Results for: "Root" (after 7d)' in result
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assert "I found " in result
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@pytest.mark.asyncio
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async def test_search_prompt_no_results(client):
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"""Test search_prompt when no results are found."""
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# Call with a query that won't match anything
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result = await search_prompt("XYZ123NonExistentQuery")
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# Check the response indicates no results found
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assert 'Search Results for: "XYZ123NonExistentQuery"' in result
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assert "I couldn't find any results for this query" in result
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assert "Opportunity to Capture Knowledge" in result
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assert "write_note" in result
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# Test utils
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def test_prompt_context_with_file_path_no_permalink():
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"""Test format_prompt_context with items that have file_path but no permalink."""
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from basic_memory.mcp.prompts.utils import (
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format_prompt_context,
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PromptContext,
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PromptContextItem,
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)
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from basic_memory.schemas.memory import EntitySummary
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# Create a mock context with a file that has no permalink (like a binary file)
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test_entity = EntitySummary(
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type="file",
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title="Test File",
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permalink=None, # No permalink
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file_path="test_file.pdf",
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created_at=datetime.now(timezone.utc),
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)
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context = PromptContext(
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topic="Test Topic",
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timeframe="1d",
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results=[
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PromptContextItem(
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primary_results=[test_entity],
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related_results=[test_entity], # Also use as related
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)
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],
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)
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# Format the context
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result = format_prompt_context(context)
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# Check that file_path is used when permalink is missing
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assert "test_file.pdf" in result
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assert "read_file" in result
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# Recent activity prompt tests
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@pytest.mark.asyncio
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async def test_recent_activity_prompt(client, test_graph):
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"""Test recent_activity_prompt."""
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# Call the function
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result = await recent_activity_prompt(timeframe="1w")
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# Check the response contains expected content
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assert "Recent Activity" in result
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assert "Opportunity to Capture Activity Summary" in result
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assert "write_note" in result
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@pytest.mark.asyncio
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async def test_recent_activity_prompt_with_custom_timeframe(client, test_graph):
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"""Test recent_activity_prompt with custom timeframe."""
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# Call the function with a custom timeframe
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result = await recent_activity_prompt(timeframe="1d")
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# Check the response includes the custom timeframe
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assert "Recent Activity from (1d)" in result
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