feat(context): implement assembly pipeline and compression (#82)
Phase 4 of Context Management Engine - Assembly Pipeline: - Add TruncationStrategy with end/middle/sentence-aware truncation - Add TruncationResult dataclass for tracking compression metrics - Add ContextCompressor for type-specific compression - Add ContextPipeline orchestrating full assembly workflow: - Token counting for all contexts - Scoring and ranking via ContextRanker - Optional compression when budget threshold exceeded - Model-specific formatting (XML for Claude, markdown for OpenAI) - Add PipelineMetrics for performance tracking - Update AssembledContext with new fields (model, contexts, metadata) - Add backward compatibility aliases for renamed fields Tests: 34 new tests, 223 total context tests passing 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
502
backend/tests/services/context/test_assembly.py
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502
backend/tests/services/context/test_assembly.py
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"""Tests for context assembly pipeline."""
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from datetime import UTC, datetime
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import pytest
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from app.services.context.assembly import ContextPipeline, PipelineMetrics
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from app.services.context.budget import BudgetAllocator, TokenBudget
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from app.services.context.types import (
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AssembledContext,
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ContextType,
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ConversationContext,
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KnowledgeContext,
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MessageRole,
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SystemContext,
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TaskContext,
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ToolContext,
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)
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class TestPipelineMetrics:
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"""Tests for PipelineMetrics dataclass."""
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def test_creation(self) -> None:
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"""Test metrics creation."""
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metrics = PipelineMetrics()
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assert metrics.total_contexts == 0
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assert metrics.selected_contexts == 0
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assert metrics.assembly_time_ms == 0.0
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def test_to_dict(self) -> None:
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"""Test conversion to dictionary."""
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metrics = PipelineMetrics(
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total_contexts=10,
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selected_contexts=8,
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excluded_contexts=2,
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total_tokens=500,
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assembly_time_ms=25.5,
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)
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metrics.end_time = datetime.now(UTC)
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data = metrics.to_dict()
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assert data["total_contexts"] == 10
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assert data["selected_contexts"] == 8
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assert data["excluded_contexts"] == 2
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assert data["total_tokens"] == 500
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assert data["assembly_time_ms"] == 25.5
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assert "start_time" in data
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assert "end_time" in data
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class TestContextPipeline:
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"""Tests for ContextPipeline."""
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def test_creation(self) -> None:
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"""Test pipeline creation."""
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pipeline = ContextPipeline()
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assert pipeline._calculator is not None
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assert pipeline._scorer is not None
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assert pipeline._ranker is not None
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assert pipeline._compressor is not None
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assert pipeline._allocator is not None
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@pytest.mark.asyncio
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async def test_assemble_empty_contexts(self) -> None:
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"""Test assembling empty context list."""
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pipeline = ContextPipeline()
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result = await pipeline.assemble(
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contexts=[],
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query="test query",
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model="claude-3-sonnet",
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)
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assert isinstance(result, AssembledContext)
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assert result.context_count == 0
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assert result.total_tokens == 0
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@pytest.mark.asyncio
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async def test_assemble_single_context(self) -> None:
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"""Test assembling single context."""
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pipeline = ContextPipeline()
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contexts = [
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SystemContext(
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content="You are a helpful assistant.",
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source="system",
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)
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]
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result = await pipeline.assemble(
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contexts=contexts,
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query="help me",
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model="claude-3-sonnet",
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)
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assert result.context_count == 1
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assert result.total_tokens > 0
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assert "helpful assistant" in result.content
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@pytest.mark.asyncio
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async def test_assemble_multiple_types(self) -> None:
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"""Test assembling multiple context types."""
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pipeline = ContextPipeline()
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contexts = [
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SystemContext(
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content="You are a coding assistant.",
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source="system",
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),
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TaskContext(
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content="Implement a login feature.",
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source="task",
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),
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KnowledgeContext(
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content="Authentication best practices include...",
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source="docs/auth.md",
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relevance_score=0.8,
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),
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]
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result = await pipeline.assemble(
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contexts=contexts,
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query="implement login",
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model="claude-3-sonnet",
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)
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assert result.context_count >= 1
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assert result.total_tokens > 0
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@pytest.mark.asyncio
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async def test_assemble_with_custom_budget(self) -> None:
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"""Test assembling with custom budget."""
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pipeline = ContextPipeline()
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budget = TokenBudget(
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total=1000,
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system=200,
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task=200,
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knowledge=400,
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conversation=100,
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tools=50,
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response_reserve=50,
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)
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contexts = [
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SystemContext(content="System prompt", source="system"),
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TaskContext(content="Task description", source="task"),
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]
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result = await pipeline.assemble(
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contexts=contexts,
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query="test",
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model="gpt-4",
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custom_budget=budget,
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)
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assert result.context_count >= 1
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@pytest.mark.asyncio
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async def test_assemble_with_max_tokens(self) -> None:
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"""Test assembling with max_tokens limit."""
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pipeline = ContextPipeline()
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contexts = [
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SystemContext(content="System prompt", source="system"),
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]
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result = await pipeline.assemble(
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contexts=contexts,
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query="test",
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model="gpt-4",
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max_tokens=5000,
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)
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assert "budget" in result.metadata
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assert result.metadata["budget"]["total"] == 5000
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@pytest.mark.asyncio
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async def test_assemble_format_output(self) -> None:
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"""Test formatted vs unformatted output."""
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pipeline = ContextPipeline()
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contexts = [
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SystemContext(content="System prompt", source="system"),
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]
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# Formatted (default)
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result_formatted = await pipeline.assemble(
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contexts=contexts,
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query="test",
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model="claude-3-sonnet",
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format_output=True,
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)
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# Unformatted
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result_raw = await pipeline.assemble(
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contexts=contexts,
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query="test",
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model="claude-3-sonnet",
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format_output=False,
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)
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# Formatted should have XML tags for Claude
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assert "<system_instructions>" in result_formatted.content
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# Raw should not
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assert "<system_instructions>" not in result_raw.content
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@pytest.mark.asyncio
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async def test_assemble_metrics(self) -> None:
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"""Test that metrics are populated."""
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pipeline = ContextPipeline()
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contexts = [
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SystemContext(content="System", source="system"),
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TaskContext(content="Task", source="task"),
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KnowledgeContext(
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content="Knowledge",
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source="docs",
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relevance_score=0.9,
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),
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]
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result = await pipeline.assemble(
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contexts=contexts,
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query="test",
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model="claude-3-sonnet",
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)
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assert "metrics" in result.metadata
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metrics = result.metadata["metrics"]
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assert metrics["total_contexts"] == 3
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assert metrics["assembly_time_ms"] > 0
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assert "scoring_time_ms" in metrics
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assert "formatting_time_ms" in metrics
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@pytest.mark.asyncio
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async def test_assemble_with_compression_disabled(self) -> None:
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"""Test assembling with compression disabled."""
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pipeline = ContextPipeline()
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contexts = [
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KnowledgeContext(content="A" * 1000, source="docs"),
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]
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result = await pipeline.assemble(
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contexts=contexts,
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query="test",
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model="gpt-4",
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compress=False,
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)
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# Should still work, just no compression applied
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assert result.context_count >= 0
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class TestContextPipelineFormatting:
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"""Tests for context formatting."""
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@pytest.mark.asyncio
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async def test_format_claude_uses_xml(self) -> None:
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"""Test that Claude models use XML formatting."""
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pipeline = ContextPipeline()
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contexts = [
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SystemContext(content="System prompt", source="system"),
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TaskContext(content="Task", source="task"),
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KnowledgeContext(
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content="Knowledge",
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source="docs",
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relevance_score=0.9,
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),
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]
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result = await pipeline.assemble(
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contexts=contexts,
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query="test",
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model="claude-3-sonnet",
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)
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# Claude should have XML tags
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assert "<system_instructions>" in result.content or result.context_count == 0
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@pytest.mark.asyncio
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async def test_format_openai_uses_markdown(self) -> None:
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"""Test that OpenAI models use markdown formatting."""
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pipeline = ContextPipeline()
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contexts = [
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TaskContext(content="Task description", source="task"),
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]
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result = await pipeline.assemble(
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contexts=contexts,
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query="test",
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model="gpt-4",
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)
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# OpenAI should have markdown headers
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if result.context_count > 0 and "Task" in result.content:
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assert "## Current Task" in result.content
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@pytest.mark.asyncio
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async def test_format_knowledge_claude(self) -> None:
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"""Test knowledge formatting for Claude."""
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pipeline = ContextPipeline()
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contexts = [
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KnowledgeContext(
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content="Document content here",
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source="docs/file.md",
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relevance_score=0.9,
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),
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]
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result = await pipeline.assemble(
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contexts=contexts,
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query="test",
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model="claude-3-sonnet",
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)
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if result.context_count > 0:
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assert "<reference_documents>" in result.content
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assert "<document" in result.content
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@pytest.mark.asyncio
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async def test_format_conversation(self) -> None:
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"""Test conversation formatting."""
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pipeline = ContextPipeline()
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contexts = [
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ConversationContext(
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content="Hello, how are you?",
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source="chat",
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role=MessageRole.USER,
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metadata={"role": "user"},
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),
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ConversationContext(
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content="I'm doing great!",
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source="chat",
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role=MessageRole.ASSISTANT,
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metadata={"role": "assistant"},
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),
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]
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result = await pipeline.assemble(
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contexts=contexts,
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query="test",
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model="claude-3-sonnet",
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)
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if result.context_count > 0:
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assert "<conversation_history>" in result.content
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assert '<message role="user">' in result.content or 'role="user"' in result.content
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@pytest.mark.asyncio
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async def test_format_tool_results(self) -> None:
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"""Test tool result formatting."""
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pipeline = ContextPipeline()
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contexts = [
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ToolContext(
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content="Tool output here",
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source="tool",
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metadata={"tool_name": "search"},
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),
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]
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result = await pipeline.assemble(
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contexts=contexts,
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query="test",
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model="claude-3-sonnet",
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)
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if result.context_count > 0:
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assert "<tool_results>" in result.content
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class TestContextPipelineIntegration:
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"""Integration tests for full pipeline."""
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@pytest.mark.asyncio
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async def test_full_pipeline_workflow(self) -> None:
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"""Test complete pipeline workflow."""
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pipeline = ContextPipeline()
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# Create realistic context mix
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contexts = [
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SystemContext(
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content="You are an expert Python developer.",
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source="system",
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),
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TaskContext(
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content="Implement a user authentication system.",
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source="task:AUTH-123",
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),
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KnowledgeContext(
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content="JWT tokens provide stateless authentication...",
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source="docs/auth/jwt.md",
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relevance_score=0.9,
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),
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KnowledgeContext(
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content="OAuth 2.0 is an authorization framework...",
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source="docs/auth/oauth.md",
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relevance_score=0.7,
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),
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ConversationContext(
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content="Can you help me implement JWT auth?",
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source="chat",
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role=MessageRole.USER,
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metadata={"role": "user"},
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),
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]
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result = await pipeline.assemble(
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contexts=contexts,
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query="implement JWT authentication",
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model="claude-3-sonnet",
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)
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# Verify result
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assert isinstance(result, AssembledContext)
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assert result.context_count > 0
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assert result.total_tokens > 0
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assert result.assembly_time_ms > 0
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assert result.model == "claude-3-sonnet"
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assert len(result.content) > 0
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# Verify metrics
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assert "metrics" in result.metadata
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assert "query" in result.metadata
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assert "budget" in result.metadata
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@pytest.mark.asyncio
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async def test_context_type_ordering(self) -> None:
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"""Test that contexts are ordered by type correctly."""
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pipeline = ContextPipeline()
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# Add in random order
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contexts = [
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KnowledgeContext(content="Knowledge", source="docs", relevance_score=0.9),
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ToolContext(content="Tool", source="tool", metadata={"tool_name": "test"}),
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SystemContext(content="System", source="system"),
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ConversationContext(
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content="Chat",
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source="chat",
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role=MessageRole.USER,
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metadata={"role": "user"},
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),
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TaskContext(content="Task", source="task"),
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]
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result = await pipeline.assemble(
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contexts=contexts,
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query="test",
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model="claude-3-sonnet",
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)
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# For Claude, verify order: System -> Task -> Knowledge -> Conversation -> Tool
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content = result.content
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if result.context_count > 0:
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# Find positions (if they exist)
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system_pos = content.find("system_instructions")
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task_pos = content.find("current_task")
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knowledge_pos = content.find("reference_documents")
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conversation_pos = content.find("conversation_history")
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tool_pos = content.find("tool_results")
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# Verify ordering (only check if both exist)
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if system_pos >= 0 and task_pos >= 0:
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assert system_pos < task_pos
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if task_pos >= 0 and knowledge_pos >= 0:
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assert task_pos < knowledge_pos
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@pytest.mark.asyncio
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async def test_excluded_contexts_tracked(self) -> None:
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"""Test that excluded contexts are tracked in result."""
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pipeline = ContextPipeline()
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# Create many contexts to force some exclusions
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contexts = [
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KnowledgeContext(
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content="A" * 500, # Large content
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source=f"docs/{i}",
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relevance_score=0.1 + (i * 0.05),
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)
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for i in range(10)
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]
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result = await pipeline.assemble(
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contexts=contexts,
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query="test",
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model="gpt-4", # Smaller context window
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max_tokens=1000, # Limited budget
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)
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# Should have excluded some
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assert result.excluded_count >= 0
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assert result.context_count + result.excluded_count <= len(contexts)
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214
backend/tests/services/context/test_compression.py
Normal file
214
backend/tests/services/context/test_compression.py
Normal file
@@ -0,0 +1,214 @@
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"""Tests for context compression module."""
|
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|
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import pytest
|
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|
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from app.services.context.compression import (
|
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ContextCompressor,
|
||||
TruncationResult,
|
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TruncationStrategy,
|
||||
)
|
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from app.services.context.budget import BudgetAllocator, TokenBudget
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from app.services.context.types import (
|
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ContextType,
|
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KnowledgeContext,
|
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SystemContext,
|
||||
TaskContext,
|
||||
)
|
||||
|
||||
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class TestTruncationResult:
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"""Tests for TruncationResult dataclass."""
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||||
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||||
def test_creation(self) -> None:
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"""Test basic creation."""
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result = TruncationResult(
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original_tokens=100,
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truncated_tokens=50,
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content="Truncated content",
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truncated=True,
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truncation_ratio=0.5,
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)
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assert result.original_tokens == 100
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assert result.truncated_tokens == 50
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assert result.truncated is True
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assert result.truncation_ratio == 0.5
|
||||
|
||||
def test_tokens_saved(self) -> None:
|
||||
"""Test tokens_saved property."""
|
||||
result = TruncationResult(
|
||||
original_tokens=100,
|
||||
truncated_tokens=40,
|
||||
content="Test",
|
||||
truncated=True,
|
||||
truncation_ratio=0.6,
|
||||
)
|
||||
|
||||
assert result.tokens_saved == 60
|
||||
|
||||
def test_no_truncation(self) -> None:
|
||||
"""Test when no truncation needed."""
|
||||
result = TruncationResult(
|
||||
original_tokens=50,
|
||||
truncated_tokens=50,
|
||||
content="Full content",
|
||||
truncated=False,
|
||||
truncation_ratio=0.0,
|
||||
)
|
||||
|
||||
assert result.tokens_saved == 0
|
||||
assert result.truncated is False
|
||||
|
||||
|
||||
class TestTruncationStrategy:
|
||||
"""Tests for TruncationStrategy."""
|
||||
|
||||
def test_creation(self) -> None:
|
||||
"""Test strategy creation."""
|
||||
strategy = TruncationStrategy()
|
||||
assert strategy._preserve_ratio_start == 0.7
|
||||
assert strategy._min_content_length == 100
|
||||
|
||||
def test_creation_with_params(self) -> None:
|
||||
"""Test strategy creation with custom params."""
|
||||
strategy = TruncationStrategy(
|
||||
preserve_ratio_start=0.5,
|
||||
min_content_length=50,
|
||||
)
|
||||
assert strategy._preserve_ratio_start == 0.5
|
||||
assert strategy._min_content_length == 50
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_truncate_empty_content(self) -> None:
|
||||
"""Test truncating empty content."""
|
||||
strategy = TruncationStrategy()
|
||||
|
||||
result = await strategy.truncate_to_tokens("", max_tokens=100)
|
||||
|
||||
assert result.original_tokens == 0
|
||||
assert result.truncated_tokens == 0
|
||||
assert result.content == ""
|
||||
assert result.truncated is False
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_truncate_content_within_limit(self) -> None:
|
||||
"""Test content that fits within limit."""
|
||||
strategy = TruncationStrategy()
|
||||
content = "Short content"
|
||||
|
||||
result = await strategy.truncate_to_tokens(content, max_tokens=100)
|
||||
|
||||
assert result.content == content
|
||||
assert result.truncated is False
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_truncate_end_strategy(self) -> None:
|
||||
"""Test end truncation strategy."""
|
||||
strategy = TruncationStrategy()
|
||||
content = "A" * 1000 # Long content
|
||||
|
||||
result = await strategy.truncate_to_tokens(
|
||||
content, max_tokens=50, strategy="end"
|
||||
)
|
||||
|
||||
assert result.truncated is True
|
||||
assert len(result.content) < len(content)
|
||||
assert strategy.TRUNCATION_MARKER in result.content
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_truncate_middle_strategy(self) -> None:
|
||||
"""Test middle truncation strategy."""
|
||||
strategy = TruncationStrategy(preserve_ratio_start=0.6)
|
||||
content = "START " + "A" * 500 + " END"
|
||||
|
||||
result = await strategy.truncate_to_tokens(
|
||||
content, max_tokens=50, strategy="middle"
|
||||
)
|
||||
|
||||
assert result.truncated is True
|
||||
assert strategy.TRUNCATION_MARKER in result.content
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_truncate_sentence_strategy(self) -> None:
|
||||
"""Test sentence-aware truncation strategy."""
|
||||
strategy = TruncationStrategy()
|
||||
content = "First sentence. Second sentence. Third sentence. Fourth sentence."
|
||||
|
||||
result = await strategy.truncate_to_tokens(
|
||||
content, max_tokens=10, strategy="sentence"
|
||||
)
|
||||
|
||||
assert result.truncated is True
|
||||
# Should cut at sentence boundary
|
||||
assert result.content.endswith(".") or strategy.TRUNCATION_MARKER in result.content
|
||||
|
||||
|
||||
class TestContextCompressor:
|
||||
"""Tests for ContextCompressor."""
|
||||
|
||||
def test_creation(self) -> None:
|
||||
"""Test compressor creation."""
|
||||
compressor = ContextCompressor()
|
||||
assert compressor._truncation is not None
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_compress_context_within_limit(self) -> None:
|
||||
"""Test compressing context that already fits."""
|
||||
compressor = ContextCompressor()
|
||||
|
||||
context = KnowledgeContext(
|
||||
content="Short content",
|
||||
source="docs",
|
||||
)
|
||||
context.token_count = 5
|
||||
|
||||
result = await compressor.compress_context(context, max_tokens=100)
|
||||
|
||||
# Should return same context unmodified
|
||||
assert result.content == "Short content"
|
||||
assert result.metadata.get("truncated") is not True
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_compress_context_exceeds_limit(self) -> None:
|
||||
"""Test compressing context that exceeds limit."""
|
||||
compressor = ContextCompressor()
|
||||
|
||||
context = KnowledgeContext(
|
||||
content="A" * 500,
|
||||
source="docs",
|
||||
)
|
||||
context.token_count = 125 # Approximately 500/4
|
||||
|
||||
result = await compressor.compress_context(context, max_tokens=20)
|
||||
|
||||
assert result.metadata.get("truncated") is True
|
||||
assert result.metadata.get("original_tokens") == 125
|
||||
assert len(result.content) < 500
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_compress_contexts_batch(self) -> None:
|
||||
"""Test compressing multiple contexts."""
|
||||
compressor = ContextCompressor()
|
||||
allocator = BudgetAllocator()
|
||||
budget = allocator.create_budget(1000)
|
||||
|
||||
contexts = [
|
||||
KnowledgeContext(content="A" * 200, source="docs"),
|
||||
KnowledgeContext(content="B" * 200, source="docs"),
|
||||
TaskContext(content="C" * 200, source="task"),
|
||||
]
|
||||
|
||||
result = await compressor.compress_contexts(contexts, budget)
|
||||
|
||||
assert len(result) == 3
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_strategy_selection_by_type(self) -> None:
|
||||
"""Test that correct strategy is selected for each type."""
|
||||
compressor = ContextCompressor()
|
||||
|
||||
assert compressor._get_strategy_for_type(ContextType.SYSTEM) == "end"
|
||||
assert compressor._get_strategy_for_type(ContextType.TASK) == "end"
|
||||
assert compressor._get_strategy_for_type(ContextType.KNOWLEDGE) == "sentence"
|
||||
assert compressor._get_strategy_for_type(ContextType.CONVERSATION) == "end"
|
||||
assert compressor._get_strategy_for_type(ContextType.TOOL) == "middle"
|
||||
@@ -426,11 +426,14 @@ class TestAssembledContext:
|
||||
"""Test basic creation."""
|
||||
ctx = AssembledContext(
|
||||
content="Assembled content here",
|
||||
token_count=500,
|
||||
contexts_included=5,
|
||||
total_tokens=500,
|
||||
context_count=5,
|
||||
)
|
||||
|
||||
assert ctx.content == "Assembled content here"
|
||||
assert ctx.total_tokens == 500
|
||||
assert ctx.context_count == 5
|
||||
# Test backward compatibility aliases
|
||||
assert ctx.token_count == 500
|
||||
assert ctx.contexts_included == 5
|
||||
|
||||
@@ -438,8 +441,8 @@ class TestAssembledContext:
|
||||
"""Test budget_utilization property."""
|
||||
ctx = AssembledContext(
|
||||
content="test",
|
||||
token_count=800,
|
||||
contexts_included=5,
|
||||
total_tokens=800,
|
||||
context_count=5,
|
||||
budget_total=1000,
|
||||
budget_used=800,
|
||||
)
|
||||
@@ -450,8 +453,8 @@ class TestAssembledContext:
|
||||
"""Test budget_utilization with zero budget."""
|
||||
ctx = AssembledContext(
|
||||
content="test",
|
||||
token_count=0,
|
||||
contexts_included=0,
|
||||
total_tokens=0,
|
||||
context_count=0,
|
||||
budget_total=0,
|
||||
budget_used=0,
|
||||
)
|
||||
@@ -462,24 +465,26 @@ class TestAssembledContext:
|
||||
"""Test to_dict method."""
|
||||
ctx = AssembledContext(
|
||||
content="test",
|
||||
token_count=100,
|
||||
contexts_included=2,
|
||||
total_tokens=100,
|
||||
context_count=2,
|
||||
assembly_time_ms=50.123,
|
||||
)
|
||||
|
||||
data = ctx.to_dict()
|
||||
assert data["content"] == "test"
|
||||
assert data["token_count"] == 100
|
||||
assert data["total_tokens"] == 100
|
||||
assert data["context_count"] == 2
|
||||
assert data["assembly_time_ms"] == 50.12 # Rounded
|
||||
|
||||
def test_to_json_and_from_json(self) -> None:
|
||||
"""Test JSON serialization round-trip."""
|
||||
original = AssembledContext(
|
||||
content="Test content",
|
||||
token_count=100,
|
||||
contexts_included=3,
|
||||
contexts_excluded=2,
|
||||
total_tokens=100,
|
||||
context_count=3,
|
||||
excluded_count=2,
|
||||
assembly_time_ms=45.5,
|
||||
model="claude-3-sonnet",
|
||||
budget_total=1000,
|
||||
budget_used=100,
|
||||
by_type={"system": 20, "knowledge": 80},
|
||||
@@ -491,8 +496,10 @@ class TestAssembledContext:
|
||||
restored = AssembledContext.from_json(json_str)
|
||||
|
||||
assert restored.content == original.content
|
||||
assert restored.token_count == original.token_count
|
||||
assert restored.contexts_included == original.contexts_included
|
||||
assert restored.total_tokens == original.total_tokens
|
||||
assert restored.context_count == original.context_count
|
||||
assert restored.excluded_count == original.excluded_count
|
||||
assert restored.model == original.model
|
||||
assert restored.cache_hit == original.cache_hit
|
||||
assert restored.cache_key == original.cache_key
|
||||
|
||||
|
||||
Reference in New Issue
Block a user