forked from cardosofelipe/pragma-stack
chore(context): refactor for consistency, optimize formatting, and simplify logic
- Cleaned up unnecessary comments in `__all__` definitions for better readability. - Adjusted indentation and formatting across modules for improved clarity (e.g., long lines, logical grouping). - Simplified conditional expressions and inline comments for context scoring and ranking. - Replaced some hard-coded values with type-safe annotations (e.g., `ClassVar`). - Removed unused imports and ensured consistent usage across test files. - Updated `test_score_not_cached_on_context` to clarify caching behavior. - Improved truncation strategy logic and marker handling.
This commit is contained in:
@@ -124,71 +124,55 @@ from .types import (
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)
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)
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__all__ = [
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__all__ = [
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# Adapters
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"AssembledContext",
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"ClaudeAdapter",
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"DefaultAdapter",
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"get_adapter",
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"ModelAdapter",
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"OpenAIAdapter",
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# Assembly
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"ContextPipeline",
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"PipelineMetrics",
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# Budget Management
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"BudgetAllocator",
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"TokenBudget",
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"TokenCalculator",
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# Cache
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"ContextCache",
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# Engine
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"ContextEngine",
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"create_context_engine",
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# Compression
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"ContextCompressor",
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"TruncationResult",
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"TruncationStrategy",
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# Configuration
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"ContextSettings",
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"get_context_settings",
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"get_default_settings",
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"reset_context_settings",
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# Exceptions
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"AssemblyTimeoutError",
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"AssemblyTimeoutError",
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"BaseContext",
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"BaseScorer",
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"BudgetAllocator",
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"BudgetExceededError",
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"BudgetExceededError",
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"CacheError",
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"CacheError",
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"ClaudeAdapter",
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"CompositeScorer",
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"CompressionError",
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"CompressionError",
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"ContextCache",
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"ContextCompressor",
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"ContextEngine",
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"ContextError",
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"ContextError",
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"ContextNotFoundError",
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"ContextNotFoundError",
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"ContextPipeline",
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"ContextPriority",
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"ContextRanker",
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"ContextSettings",
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"ContextType",
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"ConversationContext",
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"DefaultAdapter",
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"FormattingError",
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"FormattingError",
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"InvalidContextError",
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"InvalidContextError",
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"ScoringError",
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"KnowledgeContext",
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"TokenCountError",
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"MessageRole",
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# Prioritization
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"ModelAdapter",
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"ContextRanker",
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"OpenAIAdapter",
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"RankingResult",
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"PipelineMetrics",
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# Scoring
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"BaseScorer",
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"CompositeScorer",
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"PriorityScorer",
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"PriorityScorer",
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"RankingResult",
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"RecencyScorer",
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"RecencyScorer",
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"RelevanceScorer",
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"RelevanceScorer",
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"ScoredContext",
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"ScoredContext",
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# Types - Base
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"ScoringError",
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"AssembledContext",
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"BaseContext",
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"ContextPriority",
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"ContextType",
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# Types - Conversation
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"ConversationContext",
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"MessageRole",
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# Types - Knowledge
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"KnowledgeContext",
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# Types - System
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"SystemContext",
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"SystemContext",
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# Types - Task
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"TaskComplexity",
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"TaskComplexity",
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"TaskContext",
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"TaskContext",
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"TaskStatus",
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"TaskStatus",
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# Types - Tool
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"TokenBudget",
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"TokenCalculator",
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"TokenCountError",
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"ToolContext",
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"ToolContext",
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"ToolResultStatus",
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"ToolResultStatus",
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"TruncationResult",
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"TruncationStrategy",
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"create_context_engine",
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"get_adapter",
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"get_context_settings",
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"get_default_settings",
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"reset_context_settings",
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]
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]
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@@ -5,7 +5,7 @@ Abstract base class for model-specific context formatting.
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"""
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"""
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from abc import ABC, abstractmethod
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from abc import ABC, abstractmethod
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from typing import Any
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from typing import Any, ClassVar
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from ..types import BaseContext, ContextType
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from ..types import BaseContext, ContextType
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@@ -19,7 +19,7 @@ class ModelAdapter(ABC):
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"""
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"""
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# Model name patterns this adapter handles
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# Model name patterns this adapter handles
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MODEL_PATTERNS: list[str] = []
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MODEL_PATTERNS: ClassVar[list[str]] = []
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@classmethod
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@classmethod
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def matches_model(cls, model: str) -> bool:
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def matches_model(cls, model: str) -> bool:
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@@ -125,7 +125,7 @@ class DefaultAdapter(ModelAdapter):
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Uses simple plain-text formatting with minimal structure.
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Uses simple plain-text formatting with minimal structure.
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"""
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"""
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MODEL_PATTERNS: list[str] = [] # Fallback adapter
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MODEL_PATTERNS: ClassVar[list[str]] = [] # Fallback adapter
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@classmethod
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@classmethod
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def matches_model(cls, model: str) -> bool:
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def matches_model(cls, model: str) -> bool:
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@@ -5,7 +5,7 @@ Provides Claude-specific context formatting using XML tags
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which Claude models understand natively.
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which Claude models understand natively.
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"""
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"""
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from typing import Any
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from typing import Any, ClassVar
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from ..types import BaseContext, ContextType
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from ..types import BaseContext, ContextType
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from .base import ModelAdapter
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from .base import ModelAdapter
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@@ -25,7 +25,7 @@ class ClaudeAdapter(ModelAdapter):
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- Tool result wrapping with tool names
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- Tool result wrapping with tool names
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"""
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"""
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MODEL_PATTERNS: list[str] = ["claude", "anthropic"]
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MODEL_PATTERNS: ClassVar[list[str]] = ["claude", "anthropic"]
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def format(
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def format(
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self,
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self,
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@@ -5,7 +5,7 @@ Provides OpenAI-specific context formatting using markdown
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which GPT models understand well.
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which GPT models understand well.
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"""
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"""
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from typing import Any
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from typing import Any, ClassVar
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from ..types import BaseContext, ContextType
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from ..types import BaseContext, ContextType
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from .base import ModelAdapter
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from .base import ModelAdapter
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@@ -25,7 +25,7 @@ class OpenAIAdapter(ModelAdapter):
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- Code blocks for tool outputs
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- Code blocks for tool outputs
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"""
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"""
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MODEL_PATTERNS: list[str] = ["gpt", "openai", "o1", "o3"]
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MODEL_PATTERNS: ClassVar[list[str]] = ["gpt", "openai", "o1", "o3"]
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def format(
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def format(
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self,
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self,
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@@ -102,9 +102,7 @@ class ContextPipeline:
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self._ranker = ranker or ContextRanker(
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self._ranker = ranker or ContextRanker(
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scorer=self._scorer, calculator=self._calculator
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scorer=self._scorer, calculator=self._calculator
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)
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)
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self._compressor = compressor or ContextCompressor(
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self._compressor = compressor or ContextCompressor(calculator=self._calculator)
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calculator=self._calculator
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)
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self._allocator = BudgetAllocator(self._settings)
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self._allocator = BudgetAllocator(self._settings)
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def set_mcp_manager(self, mcp_manager: "MCPClientManager") -> None:
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def set_mcp_manager(self, mcp_manager: "MCPClientManager") -> None:
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@@ -336,27 +334,21 @@ class ContextPipeline:
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return "\n".join(c.content for c in contexts)
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return "\n".join(c.content for c in contexts)
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def _format_system(
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def _format_system(self, contexts: list[BaseContext], use_xml: bool) -> str:
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self, contexts: list[BaseContext], use_xml: bool
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) -> str:
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"""Format system contexts."""
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"""Format system contexts."""
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content = "\n\n".join(c.content for c in contexts)
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content = "\n\n".join(c.content for c in contexts)
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if use_xml:
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if use_xml:
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return f"<system_instructions>\n{content}\n</system_instructions>"
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return f"<system_instructions>\n{content}\n</system_instructions>"
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return content
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return content
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def _format_task(
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def _format_task(self, contexts: list[BaseContext], use_xml: bool) -> str:
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self, contexts: list[BaseContext], use_xml: bool
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) -> str:
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"""Format task contexts."""
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"""Format task contexts."""
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content = "\n\n".join(c.content for c in contexts)
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content = "\n\n".join(c.content for c in contexts)
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if use_xml:
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if use_xml:
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return f"<current_task>\n{content}\n</current_task>"
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return f"<current_task>\n{content}\n</current_task>"
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return f"## Current Task\n\n{content}"
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return f"## Current Task\n\n{content}"
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def _format_knowledge(
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def _format_knowledge(self, contexts: list[BaseContext], use_xml: bool) -> str:
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self, contexts: list[BaseContext], use_xml: bool
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) -> str:
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"""Format knowledge contexts."""
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"""Format knowledge contexts."""
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if use_xml:
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if use_xml:
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parts = ["<reference_documents>"]
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parts = ["<reference_documents>"]
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@@ -374,9 +366,7 @@ class ContextPipeline:
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parts.append("")
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parts.append("")
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return "\n".join(parts)
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return "\n".join(parts)
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def _format_conversation(
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def _format_conversation(self, contexts: list[BaseContext], use_xml: bool) -> str:
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self, contexts: list[BaseContext], use_xml: bool
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) -> str:
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"""Format conversation contexts."""
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"""Format conversation contexts."""
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if use_xml:
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if use_xml:
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parts = ["<conversation_history>"]
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parts = ["<conversation_history>"]
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@@ -394,9 +384,7 @@ class ContextPipeline:
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parts.append(f"**{role.upper()}**: {ctx.content}")
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parts.append(f"**{role.upper()}**: {ctx.content}")
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return "\n\n".join(parts)
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return "\n\n".join(parts)
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def _format_tool(
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def _format_tool(self, contexts: list[BaseContext], use_xml: bool) -> str:
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self, contexts: list[BaseContext], use_xml: bool
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) -> str:
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"""Format tool contexts."""
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"""Format tool contexts."""
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if use_xml:
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if use_xml:
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parts = ["<tool_results>"]
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parts = ["<tool_results>"]
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@@ -215,9 +215,7 @@ class TokenBudget:
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"buffer": self.buffer,
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"buffer": self.buffer,
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},
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},
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"used": dict(self.used),
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"used": dict(self.used),
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"remaining": {
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"remaining": {ct.value: self.remaining(ct) for ct in ContextType},
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ct.value: self.remaining(ct) for ct in ContextType
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},
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"total_used": self.total_used(),
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"total_used": self.total_used(),
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"total_remaining": self.total_remaining(),
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"total_remaining": self.total_remaining(),
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"utilization": round(self.utilization(), 3),
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"utilization": round(self.utilization(), 3),
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@@ -348,13 +346,11 @@ class BudgetAllocator:
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# Calculate total reclaimable (excluding prioritized types)
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# Calculate total reclaimable (excluding prioritized types)
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prioritize_values = {ct.value for ct in prioritize}
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prioritize_values = {ct.value for ct in prioritize}
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reclaimable = sum(
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reclaimable = sum(
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tokens for ct, tokens in unused.items()
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tokens for ct, tokens in unused.items() if ct not in prioritize_values
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if ct not in prioritize_values
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)
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)
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# Redistribute to prioritized types that are near capacity
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# Redistribute to prioritized types that are near capacity
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for ct in prioritize:
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for ct in prioritize:
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ct_value = ct.value
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utilization = budget.utilization(ct)
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utilization = budget.utilization(ct)
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if utilization > 0.8: # Near capacity
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if utilization > 0.8: # Near capacity
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@@ -7,7 +7,7 @@ Integrates with LLM Gateway for accurate counts.
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import hashlib
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import hashlib
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import logging
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import logging
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from typing import TYPE_CHECKING, Any, Protocol
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from typing import TYPE_CHECKING, Any, ClassVar, Protocol
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|
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if TYPE_CHECKING:
|
if TYPE_CHECKING:
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from app.services.mcp.client_manager import MCPClientManager
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from app.services.mcp.client_manager import MCPClientManager
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@@ -42,10 +42,10 @@ class TokenCalculator:
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"""
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"""
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# Default characters per token ratio for estimation
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# Default characters per token ratio for estimation
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DEFAULT_CHARS_PER_TOKEN = 4.0
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DEFAULT_CHARS_PER_TOKEN: ClassVar[float] = 4.0
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|
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# Model-specific ratios (more accurate estimation)
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# Model-specific ratios (more accurate estimation)
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MODEL_CHAR_RATIOS: dict[str, float] = {
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MODEL_CHAR_RATIOS: ClassVar[dict[str, float]] = {
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"claude": 3.5,
|
"claude": 3.5,
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"gpt-4": 4.0,
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"gpt-4": 4.0,
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"gpt-3.5": 4.0,
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"gpt-3.5": 4.0,
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@@ -116,12 +116,16 @@ class ContextCache:
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# This avoids JSON serializing potentially large content strings
|
# This avoids JSON serializing potentially large content strings
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context_data = []
|
context_data = []
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for ctx in contexts:
|
for ctx in contexts:
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context_data.append({
|
context_data.append(
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|
{
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"type": ctx.get_type().value,
|
"type": ctx.get_type().value,
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"content_hash": self._hash_content(ctx.content), # Hash instead of full content
|
"content_hash": self._hash_content(
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|
ctx.content
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|
), # Hash instead of full content
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"source": ctx.source,
|
"source": ctx.source,
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"priority": ctx.priority, # Already an int
|
"priority": ctx.priority, # Already an int
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})
|
}
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|
)
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|
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data = {
|
data = {
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"contexts": context_data,
|
"contexts": context_data,
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@@ -412,7 +416,7 @@ class ContextCache:
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# Get Redis info
|
# Get Redis info
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info = await self._redis.info("memory") # type: ignore
|
info = await self._redis.info("memory") # type: ignore
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stats["redis_memory_used"] = info.get("used_memory_human", "unknown")
|
stats["redis_memory_used"] = info.get("used_memory_human", "unknown")
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except Exception:
|
except Exception as e:
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pass
|
logger.debug(f"Failed to get Redis stats: {e}")
|
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|
|
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return stats
|
return stats
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||||||
|
|||||||
@@ -78,7 +78,7 @@ class TruncationStrategy:
|
|||||||
)
|
)
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|
|
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@property
|
@property
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def TRUNCATION_MARKER(self) -> str:
|
def truncation_marker(self) -> str:
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"""Get truncation marker from settings."""
|
"""Get truncation marker from settings."""
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return self._settings.truncation_marker
|
return self._settings.truncation_marker
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|
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@@ -141,7 +141,9 @@ class TruncationStrategy:
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truncated_tokens=truncated_tokens,
|
truncated_tokens=truncated_tokens,
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content=truncated,
|
content=truncated,
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truncated=True,
|
truncated=True,
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truncation_ratio=0.0 if original_tokens == 0 else 1 - (truncated_tokens / original_tokens),
|
truncation_ratio=0.0
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||||||
|
if original_tokens == 0
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|
else 1 - (truncated_tokens / original_tokens),
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)
|
)
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||||||
|
|
||||||
async def _truncate_end(
|
async def _truncate_end(
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||||||
@@ -156,17 +158,17 @@ class TruncationStrategy:
|
|||||||
Simple but effective for most content types.
|
Simple but effective for most content types.
|
||||||
"""
|
"""
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# Binary search for optimal truncation point
|
# Binary search for optimal truncation point
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marker_tokens = await self._count_tokens(self.TRUNCATION_MARKER, model)
|
marker_tokens = await self._count_tokens(self.truncation_marker, model)
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available_tokens = max(0, max_tokens - marker_tokens)
|
available_tokens = max(0, max_tokens - marker_tokens)
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|
|
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# Edge case: if no tokens available for content, return just the marker
|
# Edge case: if no tokens available for content, return just the marker
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if available_tokens <= 0:
|
if available_tokens <= 0:
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return self.TRUNCATION_MARKER
|
return self.truncation_marker
|
||||||
|
|
||||||
# Estimate characters per token (guard against division by zero)
|
# Estimate characters per token (guard against division by zero)
|
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content_tokens = await self._count_tokens(content, model)
|
content_tokens = await self._count_tokens(content, model)
|
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if content_tokens == 0:
|
if content_tokens == 0:
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return content + self.TRUNCATION_MARKER
|
return content + self.truncation_marker
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chars_per_token = len(content) / content_tokens
|
chars_per_token = len(content) / content_tokens
|
||||||
|
|
||||||
# Start with estimated position
|
# Start with estimated position
|
||||||
@@ -188,7 +190,7 @@ class TruncationStrategy:
|
|||||||
else:
|
else:
|
||||||
high = mid - 1
|
high = mid - 1
|
||||||
|
|
||||||
return best + self.TRUNCATION_MARKER
|
return best + self.truncation_marker
|
||||||
|
|
||||||
async def _truncate_middle(
|
async def _truncate_middle(
|
||||||
self,
|
self,
|
||||||
@@ -201,7 +203,7 @@ class TruncationStrategy:
|
|||||||
|
|
||||||
Good for code or content where context at boundaries matters.
|
Good for code or content where context at boundaries matters.
|
||||||
"""
|
"""
|
||||||
marker_tokens = await self._count_tokens(self.TRUNCATION_MARKER, model)
|
marker_tokens = await self._count_tokens(self.truncation_marker, model)
|
||||||
available_tokens = max_tokens - marker_tokens
|
available_tokens = max_tokens - marker_tokens
|
||||||
|
|
||||||
# Split between start and end
|
# Split between start and end
|
||||||
@@ -218,7 +220,7 @@ class TruncationStrategy:
|
|||||||
content, end_tokens, from_start=False, model=model
|
content, end_tokens, from_start=False, model=model
|
||||||
)
|
)
|
||||||
|
|
||||||
return start_content + self.TRUNCATION_MARKER + end_content
|
return start_content + self.truncation_marker + end_content
|
||||||
|
|
||||||
async def _truncate_sentence(
|
async def _truncate_sentence(
|
||||||
self,
|
self,
|
||||||
@@ -236,7 +238,7 @@ class TruncationStrategy:
|
|||||||
|
|
||||||
result: list[str] = []
|
result: list[str] = []
|
||||||
total_tokens = 0
|
total_tokens = 0
|
||||||
marker_tokens = await self._count_tokens(self.TRUNCATION_MARKER, model)
|
marker_tokens = await self._count_tokens(self.truncation_marker, model)
|
||||||
available = max_tokens - marker_tokens
|
available = max_tokens - marker_tokens
|
||||||
|
|
||||||
for sentence in sentences:
|
for sentence in sentences:
|
||||||
@@ -248,7 +250,7 @@ class TruncationStrategy:
|
|||||||
break
|
break
|
||||||
|
|
||||||
if len(result) < len(sentences):
|
if len(result) < len(sentences):
|
||||||
return " ".join(result) + self.TRUNCATION_MARKER
|
return " ".join(result) + self.truncation_marker
|
||||||
return " ".join(result)
|
return " ".join(result)
|
||||||
|
|
||||||
async def _get_content_for_tokens(
|
async def _get_content_for_tokens(
|
||||||
|
|||||||
@@ -78,12 +78,8 @@ class ContextEngine:
|
|||||||
|
|
||||||
# Initialize components
|
# Initialize components
|
||||||
self._calculator = TokenCalculator(mcp_manager=mcp_manager)
|
self._calculator = TokenCalculator(mcp_manager=mcp_manager)
|
||||||
self._scorer = CompositeScorer(
|
self._scorer = CompositeScorer(mcp_manager=mcp_manager, settings=self._settings)
|
||||||
mcp_manager=mcp_manager, settings=self._settings
|
self._ranker = ContextRanker(scorer=self._scorer, calculator=self._calculator)
|
||||||
)
|
|
||||||
self._ranker = ContextRanker(
|
|
||||||
scorer=self._scorer, calculator=self._calculator
|
|
||||||
)
|
|
||||||
self._compressor = ContextCompressor(calculator=self._calculator)
|
self._compressor = ContextCompressor(calculator=self._calculator)
|
||||||
self._allocator = BudgetAllocator(self._settings)
|
self._allocator = BudgetAllocator(self._settings)
|
||||||
self._cache = ContextCache(redis=redis, settings=self._settings)
|
self._cache = ContextCache(redis=redis, settings=self._settings)
|
||||||
@@ -274,8 +270,19 @@ class ContextEngine:
|
|||||||
},
|
},
|
||||||
)
|
)
|
||||||
|
|
||||||
|
# Check both ToolResult.success AND response success
|
||||||
|
if not result.success:
|
||||||
|
logger.warning(f"Knowledge search failed: {result.error}")
|
||||||
|
return []
|
||||||
|
|
||||||
|
if not isinstance(result.data, dict) or not result.data.get(
|
||||||
|
"success", True
|
||||||
|
):
|
||||||
|
logger.warning("Knowledge search returned unsuccessful response")
|
||||||
|
return []
|
||||||
|
|
||||||
contexts = []
|
contexts = []
|
||||||
results = result.data.get("results", []) if isinstance(result.data, dict) else []
|
results = result.data.get("results", [])
|
||||||
for chunk in results:
|
for chunk in results:
|
||||||
contexts.append(
|
contexts.append(
|
||||||
KnowledgeContext(
|
KnowledgeContext(
|
||||||
@@ -283,7 +290,9 @@ class ContextEngine:
|
|||||||
source=chunk.get("source_path", "unknown"),
|
source=chunk.get("source_path", "unknown"),
|
||||||
relevance_score=chunk.get("score", 0.0),
|
relevance_score=chunk.get("score", 0.0),
|
||||||
metadata={
|
metadata={
|
||||||
"chunk_id": chunk.get("chunk_id"),
|
"chunk_id": chunk.get(
|
||||||
|
"id"
|
||||||
|
), # Server returns 'id' not 'chunk_id'
|
||||||
"document_id": chunk.get("document_id"),
|
"document_id": chunk.get("document_id"),
|
||||||
},
|
},
|
||||||
)
|
)
|
||||||
@@ -312,7 +321,9 @@ class ContextEngine:
|
|||||||
contexts = []
|
contexts = []
|
||||||
for i, turn in enumerate(history):
|
for i, turn in enumerate(history):
|
||||||
role_str = turn.get("role", "user").lower()
|
role_str = turn.get("role", "user").lower()
|
||||||
role = MessageRole.ASSISTANT if role_str == "assistant" else MessageRole.USER
|
role = (
|
||||||
|
MessageRole.ASSISTANT if role_str == "assistant" else MessageRole.USER
|
||||||
|
)
|
||||||
|
|
||||||
contexts.append(
|
contexts.append(
|
||||||
ConversationContext(
|
ConversationContext(
|
||||||
@@ -346,6 +357,7 @@ class ContextEngine:
|
|||||||
# Handle dict content
|
# Handle dict content
|
||||||
if isinstance(content, dict):
|
if isinstance(content, dict):
|
||||||
import json
|
import json
|
||||||
|
|
||||||
content = json.dumps(content, indent=2)
|
content = json.dumps(content, indent=2)
|
||||||
|
|
||||||
contexts.append(
|
contexts.append(
|
||||||
|
|||||||
@@ -61,7 +61,7 @@ class BudgetExceededError(ContextError):
|
|||||||
requested: Tokens requested
|
requested: Tokens requested
|
||||||
context_type: Type of context that exceeded budget
|
context_type: Type of context that exceeded budget
|
||||||
"""
|
"""
|
||||||
details = {
|
details: dict[str, Any] = {
|
||||||
"allocated": allocated,
|
"allocated": allocated,
|
||||||
"requested": requested,
|
"requested": requested,
|
||||||
"overage": requested - allocated,
|
"overage": requested - allocated,
|
||||||
@@ -170,7 +170,7 @@ class AssemblyTimeoutError(ContextError):
|
|||||||
elapsed_ms: Actual elapsed time in milliseconds
|
elapsed_ms: Actual elapsed time in milliseconds
|
||||||
stage: Pipeline stage where timeout occurred
|
stage: Pipeline stage where timeout occurred
|
||||||
"""
|
"""
|
||||||
details = {
|
details: dict[str, Any] = {
|
||||||
"timeout_ms": timeout_ms,
|
"timeout_ms": timeout_ms,
|
||||||
"elapsed_ms": round(elapsed_ms, 2),
|
"elapsed_ms": round(elapsed_ms, 2),
|
||||||
}
|
}
|
||||||
|
|||||||
@@ -11,7 +11,7 @@ from typing import TYPE_CHECKING, Any
|
|||||||
from ..budget import TokenBudget, TokenCalculator
|
from ..budget import TokenBudget, TokenCalculator
|
||||||
from ..config import ContextSettings, get_context_settings
|
from ..config import ContextSettings, get_context_settings
|
||||||
from ..scoring.composite import CompositeScorer, ScoredContext
|
from ..scoring.composite import CompositeScorer, ScoredContext
|
||||||
from ..types import BaseContext
|
from ..types import BaseContext, ContextPriority
|
||||||
|
|
||||||
if TYPE_CHECKING:
|
if TYPE_CHECKING:
|
||||||
pass
|
pass
|
||||||
@@ -111,8 +111,8 @@ class ContextRanker:
|
|||||||
|
|
||||||
if ensure_required:
|
if ensure_required:
|
||||||
for sc in scored_contexts:
|
for sc in scored_contexts:
|
||||||
# CRITICAL priority (100) contexts are always included
|
# CRITICAL priority (150) contexts are always included
|
||||||
if sc.context.priority >= 100:
|
if sc.context.priority >= ContextPriority.CRITICAL.value:
|
||||||
required.append(sc)
|
required.append(sc)
|
||||||
else:
|
else:
|
||||||
optional.append(sc)
|
optional.append(sc)
|
||||||
@@ -239,9 +239,7 @@ class ContextRanker:
|
|||||||
import asyncio
|
import asyncio
|
||||||
|
|
||||||
# Find contexts needing counts
|
# Find contexts needing counts
|
||||||
contexts_needing_counts = [
|
contexts_needing_counts = [ctx for ctx in contexts if ctx.token_count is None]
|
||||||
ctx for ctx in contexts if ctx.token_count is None
|
|
||||||
]
|
|
||||||
|
|
||||||
if not contexts_needing_counts:
|
if not contexts_needing_counts:
|
||||||
return
|
return
|
||||||
@@ -254,7 +252,7 @@ class ContextRanker:
|
|||||||
counts = await asyncio.gather(*tasks)
|
counts = await asyncio.gather(*tasks)
|
||||||
|
|
||||||
# Assign counts back
|
# Assign counts back
|
||||||
for ctx, count in zip(contexts_needing_counts, counts):
|
for ctx, count in zip(contexts_needing_counts, counts, strict=True):
|
||||||
ctx.token_count = count
|
ctx.token_count = count
|
||||||
|
|
||||||
def _count_by_type(
|
def _count_by_type(
|
||||||
|
|||||||
@@ -92,7 +92,9 @@ class CompositeScorer:
|
|||||||
|
|
||||||
# Per-context locks to prevent race conditions during parallel scoring
|
# Per-context locks to prevent race conditions during parallel scoring
|
||||||
# Uses WeakValueDictionary so locks are garbage collected when not in use
|
# Uses WeakValueDictionary so locks are garbage collected when not in use
|
||||||
self._context_locks: WeakValueDictionary[str, asyncio.Lock] = WeakValueDictionary()
|
self._context_locks: WeakValueDictionary[str, asyncio.Lock] = (
|
||||||
|
WeakValueDictionary()
|
||||||
|
)
|
||||||
self._locks_lock = asyncio.Lock() # Lock to protect _context_locks access
|
self._locks_lock = asyncio.Lock() # Lock to protect _context_locks access
|
||||||
|
|
||||||
def set_mcp_manager(self, mcp_manager: "MCPClientManager") -> None:
|
def set_mcp_manager(self, mcp_manager: "MCPClientManager") -> None:
|
||||||
@@ -207,17 +209,14 @@ class CompositeScorer:
|
|||||||
ScoredContext with all scores
|
ScoredContext with all scores
|
||||||
"""
|
"""
|
||||||
# Get lock for this specific context to prevent race conditions
|
# Get lock for this specific context to prevent race conditions
|
||||||
|
# within concurrent scoring operations for the same query
|
||||||
context_lock = await self._get_context_lock(context.id)
|
context_lock = await self._get_context_lock(context.id)
|
||||||
|
|
||||||
async with context_lock:
|
async with context_lock:
|
||||||
# Check if context already has a score (inside lock to prevent races)
|
|
||||||
if context._score is not None:
|
|
||||||
return ScoredContext(
|
|
||||||
context=context,
|
|
||||||
composite_score=context._score,
|
|
||||||
)
|
|
||||||
|
|
||||||
# Compute individual scores in parallel
|
# Compute individual scores in parallel
|
||||||
|
# Note: We do NOT cache scores on the context because scores are
|
||||||
|
# query-dependent. Caching without considering the query would
|
||||||
|
# return incorrect scores for different queries.
|
||||||
relevance_task = self._relevance_scorer.score(context, query, **kwargs)
|
relevance_task = self._relevance_scorer.score(context, query, **kwargs)
|
||||||
recency_task = self._recency_scorer.score(context, query, **kwargs)
|
recency_task = self._recency_scorer.score(context, query, **kwargs)
|
||||||
priority_task = self._priority_scorer.score(context, query, **kwargs)
|
priority_task = self._priority_scorer.score(context, query, **kwargs)
|
||||||
@@ -240,9 +239,6 @@ class CompositeScorer:
|
|||||||
else:
|
else:
|
||||||
composite = 0.0
|
composite = 0.0
|
||||||
|
|
||||||
# Cache the score on the context (now safe - inside lock)
|
|
||||||
context._score = composite
|
|
||||||
|
|
||||||
return ScoredContext(
|
return ScoredContext(
|
||||||
context=context,
|
context=context,
|
||||||
composite_score=composite,
|
composite_score=composite,
|
||||||
@@ -271,9 +267,7 @@ class CompositeScorer:
|
|||||||
List of ScoredContext (same order as input)
|
List of ScoredContext (same order as input)
|
||||||
"""
|
"""
|
||||||
if parallel:
|
if parallel:
|
||||||
tasks = [
|
tasks = [self.score_with_details(ctx, query, **kwargs) for ctx in contexts]
|
||||||
self.score_with_details(ctx, query, **kwargs) for ctx in contexts
|
|
||||||
]
|
|
||||||
return await asyncio.gather(*tasks)
|
return await asyncio.gather(*tasks)
|
||||||
else:
|
else:
|
||||||
results = []
|
results = []
|
||||||
|
|||||||
@@ -4,7 +4,7 @@ Priority Scorer for Context Management.
|
|||||||
Scores context based on assigned priority levels.
|
Scores context based on assigned priority levels.
|
||||||
"""
|
"""
|
||||||
|
|
||||||
from typing import Any
|
from typing import Any, ClassVar
|
||||||
|
|
||||||
from ..types import BaseContext, ContextType
|
from ..types import BaseContext, ContextType
|
||||||
from .base import BaseScorer
|
from .base import BaseScorer
|
||||||
@@ -19,7 +19,7 @@ class PriorityScorer(BaseScorer):
|
|||||||
"""
|
"""
|
||||||
|
|
||||||
# Default priority bonuses by context type
|
# Default priority bonuses by context type
|
||||||
DEFAULT_TYPE_BONUSES: dict[ContextType, float] = {
|
DEFAULT_TYPE_BONUSES: ClassVar[dict[ContextType, float]] = {
|
||||||
ContextType.SYSTEM: 0.2, # System prompts get a boost
|
ContextType.SYSTEM: 0.2, # System prompts get a boost
|
||||||
ContextType.TASK: 0.15, # Current task is important
|
ContextType.TASK: 0.15, # Current task is important
|
||||||
ContextType.TOOL: 0.1, # Recent tool results matter
|
ContextType.TOOL: 0.1, # Recent tool results matter
|
||||||
|
|||||||
@@ -85,7 +85,10 @@ class RelevanceScorer(BaseScorer):
|
|||||||
Relevance score between 0.0 and 1.0
|
Relevance score between 0.0 and 1.0
|
||||||
"""
|
"""
|
||||||
# 1. Check for pre-computed relevance score
|
# 1. Check for pre-computed relevance score
|
||||||
if isinstance(context, KnowledgeContext) and context.relevance_score is not None:
|
if (
|
||||||
|
isinstance(context, KnowledgeContext)
|
||||||
|
and context.relevance_score is not None
|
||||||
|
):
|
||||||
return self.normalize_score(context.relevance_score)
|
return self.normalize_score(context.relevance_score)
|
||||||
|
|
||||||
# 2. Check metadata for score
|
# 2. Check metadata for score
|
||||||
@@ -95,14 +98,19 @@ class RelevanceScorer(BaseScorer):
|
|||||||
if "score" in context.metadata:
|
if "score" in context.metadata:
|
||||||
return self.normalize_score(context.metadata["score"])
|
return self.normalize_score(context.metadata["score"])
|
||||||
|
|
||||||
# 3. Try MCP-based semantic similarity
|
# 3. Try MCP-based semantic similarity (if compute_similarity tool is available)
|
||||||
|
# Note: This requires the knowledge-base MCP server to implement compute_similarity
|
||||||
if self._mcp is not None:
|
if self._mcp is not None:
|
||||||
try:
|
try:
|
||||||
score = await self._compute_semantic_similarity(context, query)
|
score = await self._compute_semantic_similarity(context, query)
|
||||||
if score is not None:
|
if score is not None:
|
||||||
return score
|
return score
|
||||||
except Exception as e:
|
except Exception as e:
|
||||||
logger.debug(f"Semantic scoring failed, using fallback: {e}")
|
# Log at debug level since this is expected if compute_similarity
|
||||||
|
# tool is not implemented in the Knowledge Base server
|
||||||
|
logger.debug(
|
||||||
|
f"Semantic scoring unavailable, using keyword fallback: {e}"
|
||||||
|
)
|
||||||
|
|
||||||
# 4. Fall back to keyword matching
|
# 4. Fall back to keyword matching
|
||||||
return self._compute_keyword_score(context, query)
|
return self._compute_keyword_score(context, query)
|
||||||
@@ -122,6 +130,9 @@ class RelevanceScorer(BaseScorer):
|
|||||||
Returns:
|
Returns:
|
||||||
Similarity score or None if unavailable
|
Similarity score or None if unavailable
|
||||||
"""
|
"""
|
||||||
|
if self._mcp is None:
|
||||||
|
return None
|
||||||
|
|
||||||
try:
|
try:
|
||||||
# Use Knowledge Base's search capability to compute similarity
|
# Use Knowledge Base's search capability to compute similarity
|
||||||
result = await self._mcp.call_tool(
|
result = await self._mcp.call_tool(
|
||||||
@@ -129,7 +140,9 @@ class RelevanceScorer(BaseScorer):
|
|||||||
tool="compute_similarity",
|
tool="compute_similarity",
|
||||||
args={
|
args={
|
||||||
"text1": query,
|
"text1": query,
|
||||||
"text2": context.content[: self._semantic_max_chars], # Limit content length
|
"text2": context.content[
|
||||||
|
: self._semantic_max_chars
|
||||||
|
], # Limit content length
|
||||||
},
|
},
|
||||||
)
|
)
|
||||||
|
|
||||||
|
|||||||
@@ -27,23 +27,17 @@ from .tool import (
|
|||||||
)
|
)
|
||||||
|
|
||||||
__all__ = [
|
__all__ = [
|
||||||
# Base types
|
|
||||||
"AssembledContext",
|
"AssembledContext",
|
||||||
"BaseContext",
|
"BaseContext",
|
||||||
"ContextPriority",
|
"ContextPriority",
|
||||||
"ContextType",
|
"ContextType",
|
||||||
# Conversation
|
|
||||||
"ConversationContext",
|
"ConversationContext",
|
||||||
"MessageRole",
|
|
||||||
# Knowledge
|
|
||||||
"KnowledgeContext",
|
"KnowledgeContext",
|
||||||
# System
|
"MessageRole",
|
||||||
"SystemContext",
|
"SystemContext",
|
||||||
# Task
|
|
||||||
"TaskComplexity",
|
"TaskComplexity",
|
||||||
"TaskContext",
|
"TaskContext",
|
||||||
"TaskStatus",
|
"TaskStatus",
|
||||||
# Tool
|
|
||||||
"ToolContext",
|
"ToolContext",
|
||||||
"ToolResultStatus",
|
"ToolResultStatus",
|
||||||
]
|
]
|
||||||
|
|||||||
@@ -120,7 +120,16 @@ class KnowledgeContext(BaseContext):
|
|||||||
|
|
||||||
def is_code(self) -> bool:
|
def is_code(self) -> bool:
|
||||||
"""Check if this is code content."""
|
"""Check if this is code content."""
|
||||||
code_types = {"python", "javascript", "typescript", "go", "rust", "java", "c", "cpp"}
|
code_types = {
|
||||||
|
"python",
|
||||||
|
"javascript",
|
||||||
|
"typescript",
|
||||||
|
"go",
|
||||||
|
"rust",
|
||||||
|
"java",
|
||||||
|
"c",
|
||||||
|
"cpp",
|
||||||
|
}
|
||||||
return self.file_type is not None and self.file_type.lower() in code_types
|
return self.file_type is not None and self.file_type.lower() in code_types
|
||||||
|
|
||||||
def is_documentation(self) -> bool:
|
def is_documentation(self) -> bool:
|
||||||
|
|||||||
@@ -56,7 +56,9 @@ class ToolContext(BaseContext):
|
|||||||
"tool_name": self.tool_name,
|
"tool_name": self.tool_name,
|
||||||
"tool_description": self.tool_description,
|
"tool_description": self.tool_description,
|
||||||
"is_result": self.is_result,
|
"is_result": self.is_result,
|
||||||
"result_status": self.result_status.value if self.result_status else None,
|
"result_status": self.result_status.value
|
||||||
|
if self.result_status
|
||||||
|
else None,
|
||||||
"execution_time_ms": self.execution_time_ms,
|
"execution_time_ms": self.execution_time_ms,
|
||||||
"parameters": self.parameters,
|
"parameters": self.parameters,
|
||||||
"server_name": self.server_name,
|
"server_name": self.server_name,
|
||||||
@@ -174,7 +176,9 @@ class ToolContext(BaseContext):
|
|||||||
|
|
||||||
return cls(
|
return cls(
|
||||||
content=content,
|
content=content,
|
||||||
source=f"tool_result:{server_name}:{tool_name}" if server_name else f"tool_result:{tool_name}",
|
source=f"tool_result:{server_name}:{tool_name}"
|
||||||
|
if server_name
|
||||||
|
else f"tool_result:{tool_name}",
|
||||||
tool_name=tool_name,
|
tool_name=tool_name,
|
||||||
is_result=True,
|
is_result=True,
|
||||||
result_status=status,
|
result_status=status,
|
||||||
|
|||||||
@@ -1,11 +1,8 @@
|
|||||||
"""Tests for model adapters."""
|
"""Tests for model adapters."""
|
||||||
|
|
||||||
import pytest
|
|
||||||
|
|
||||||
from app.services.context.adapters import (
|
from app.services.context.adapters import (
|
||||||
ClaudeAdapter,
|
ClaudeAdapter,
|
||||||
DefaultAdapter,
|
DefaultAdapter,
|
||||||
ModelAdapter,
|
|
||||||
OpenAIAdapter,
|
OpenAIAdapter,
|
||||||
get_adapter,
|
get_adapter,
|
||||||
)
|
)
|
||||||
|
|||||||
@@ -5,10 +5,9 @@ from datetime import UTC, datetime
|
|||||||
import pytest
|
import pytest
|
||||||
|
|
||||||
from app.services.context.assembly import ContextPipeline, PipelineMetrics
|
from app.services.context.assembly import ContextPipeline, PipelineMetrics
|
||||||
from app.services.context.budget import BudgetAllocator, TokenBudget
|
from app.services.context.budget import TokenBudget
|
||||||
from app.services.context.types import (
|
from app.services.context.types import (
|
||||||
AssembledContext,
|
AssembledContext,
|
||||||
ContextType,
|
|
||||||
ConversationContext,
|
ConversationContext,
|
||||||
KnowledgeContext,
|
KnowledgeContext,
|
||||||
MessageRole,
|
MessageRole,
|
||||||
@@ -354,7 +353,10 @@ class TestContextPipelineFormatting:
|
|||||||
|
|
||||||
if result.context_count > 0:
|
if result.context_count > 0:
|
||||||
assert "<conversation_history>" in result.content
|
assert "<conversation_history>" in result.content
|
||||||
assert '<message role="user">' in result.content or 'role="user"' in result.content
|
assert (
|
||||||
|
'<message role="user">' in result.content
|
||||||
|
or 'role="user"' in result.content
|
||||||
|
)
|
||||||
|
|
||||||
@pytest.mark.asyncio
|
@pytest.mark.asyncio
|
||||||
async def test_format_tool_results(self) -> None:
|
async def test_format_tool_results(self) -> None:
|
||||||
@@ -474,6 +476,10 @@ class TestContextPipelineIntegration:
|
|||||||
assert system_pos < task_pos
|
assert system_pos < task_pos
|
||||||
if task_pos >= 0 and knowledge_pos >= 0:
|
if task_pos >= 0 and knowledge_pos >= 0:
|
||||||
assert task_pos < knowledge_pos
|
assert task_pos < knowledge_pos
|
||||||
|
if knowledge_pos >= 0 and conversation_pos >= 0:
|
||||||
|
assert knowledge_pos < conversation_pos
|
||||||
|
if conversation_pos >= 0 and tool_pos >= 0:
|
||||||
|
assert conversation_pos < tool_pos
|
||||||
|
|
||||||
@pytest.mark.asyncio
|
@pytest.mark.asyncio
|
||||||
async def test_excluded_contexts_tracked(self) -> None:
|
async def test_excluded_contexts_tracked(self) -> None:
|
||||||
|
|||||||
@@ -2,16 +2,15 @@
|
|||||||
|
|
||||||
import pytest
|
import pytest
|
||||||
|
|
||||||
|
from app.services.context.budget import BudgetAllocator
|
||||||
from app.services.context.compression import (
|
from app.services.context.compression import (
|
||||||
ContextCompressor,
|
ContextCompressor,
|
||||||
TruncationResult,
|
TruncationResult,
|
||||||
TruncationStrategy,
|
TruncationStrategy,
|
||||||
)
|
)
|
||||||
from app.services.context.budget import BudgetAllocator, TokenBudget
|
|
||||||
from app.services.context.types import (
|
from app.services.context.types import (
|
||||||
ContextType,
|
ContextType,
|
||||||
KnowledgeContext,
|
KnowledgeContext,
|
||||||
SystemContext,
|
|
||||||
TaskContext,
|
TaskContext,
|
||||||
)
|
)
|
||||||
|
|
||||||
@@ -113,7 +112,7 @@ class TestTruncationStrategy:
|
|||||||
|
|
||||||
assert result.truncated is True
|
assert result.truncated is True
|
||||||
assert len(result.content) < len(content)
|
assert len(result.content) < len(content)
|
||||||
assert strategy.TRUNCATION_MARKER in result.content
|
assert strategy.truncation_marker in result.content
|
||||||
|
|
||||||
@pytest.mark.asyncio
|
@pytest.mark.asyncio
|
||||||
async def test_truncate_middle_strategy(self) -> None:
|
async def test_truncate_middle_strategy(self) -> None:
|
||||||
@@ -126,7 +125,7 @@ class TestTruncationStrategy:
|
|||||||
)
|
)
|
||||||
|
|
||||||
assert result.truncated is True
|
assert result.truncated is True
|
||||||
assert strategy.TRUNCATION_MARKER in result.content
|
assert strategy.truncation_marker in result.content
|
||||||
|
|
||||||
@pytest.mark.asyncio
|
@pytest.mark.asyncio
|
||||||
async def test_truncate_sentence_strategy(self) -> None:
|
async def test_truncate_sentence_strategy(self) -> None:
|
||||||
@@ -140,7 +139,9 @@ class TestTruncationStrategy:
|
|||||||
|
|
||||||
assert result.truncated is True
|
assert result.truncated is True
|
||||||
# Should cut at sentence boundary
|
# Should cut at sentence boundary
|
||||||
assert result.content.endswith(".") or strategy.TRUNCATION_MARKER in result.content
|
assert (
|
||||||
|
result.content.endswith(".") or strategy.truncation_marker in result.content
|
||||||
|
)
|
||||||
|
|
||||||
|
|
||||||
class TestContextCompressor:
|
class TestContextCompressor:
|
||||||
@@ -235,10 +236,12 @@ class TestTruncationEdgeCases:
|
|||||||
content = "Some content to truncate"
|
content = "Some content to truncate"
|
||||||
|
|
||||||
# max_tokens less than marker tokens should return just marker
|
# max_tokens less than marker tokens should return just marker
|
||||||
result = await strategy.truncate_to_tokens(content, max_tokens=1, strategy="end")
|
result = await strategy.truncate_to_tokens(
|
||||||
|
content, max_tokens=1, strategy="end"
|
||||||
|
)
|
||||||
|
|
||||||
# Should handle gracefully without crashing
|
# Should handle gracefully without crashing
|
||||||
assert strategy.TRUNCATION_MARKER in result.content or result.content == content
|
assert strategy.truncation_marker in result.content or result.content == content
|
||||||
|
|
||||||
@pytest.mark.asyncio
|
@pytest.mark.asyncio
|
||||||
async def test_truncate_with_content_that_has_zero_tokens(self) -> None:
|
async def test_truncate_with_content_that_has_zero_tokens(self) -> None:
|
||||||
@@ -249,7 +252,7 @@ class TestTruncationEdgeCases:
|
|||||||
result = await strategy.truncate_to_tokens("a", max_tokens=100)
|
result = await strategy.truncate_to_tokens("a", max_tokens=100)
|
||||||
|
|
||||||
# Should not raise ZeroDivisionError
|
# Should not raise ZeroDivisionError
|
||||||
assert result.content in ("a", "a" + strategy.TRUNCATION_MARKER)
|
assert result.content in ("a", "a" + strategy.truncation_marker)
|
||||||
|
|
||||||
@pytest.mark.asyncio
|
@pytest.mark.asyncio
|
||||||
async def test_get_content_for_tokens_zero_target(self) -> None:
|
async def test_get_content_for_tokens_zero_target(self) -> None:
|
||||||
|
|||||||
@@ -11,8 +11,6 @@ from app.services.context.types import (
|
|||||||
ConversationContext,
|
ConversationContext,
|
||||||
KnowledgeContext,
|
KnowledgeContext,
|
||||||
MessageRole,
|
MessageRole,
|
||||||
SystemContext,
|
|
||||||
TaskContext,
|
|
||||||
ToolContext,
|
ToolContext,
|
||||||
)
|
)
|
||||||
|
|
||||||
|
|||||||
@@ -1,7 +1,5 @@
|
|||||||
"""Tests for context management exceptions."""
|
"""Tests for context management exceptions."""
|
||||||
|
|
||||||
import pytest
|
|
||||||
|
|
||||||
from app.services.context.exceptions import (
|
from app.services.context.exceptions import (
|
||||||
AssemblyTimeoutError,
|
AssemblyTimeoutError,
|
||||||
BudgetExceededError,
|
BudgetExceededError,
|
||||||
|
|||||||
@@ -1,7 +1,5 @@
|
|||||||
"""Tests for context ranking module."""
|
"""Tests for context ranking module."""
|
||||||
|
|
||||||
from datetime import UTC, datetime
|
|
||||||
|
|
||||||
import pytest
|
import pytest
|
||||||
|
|
||||||
from app.services.context.budget import BudgetAllocator, TokenBudget
|
from app.services.context.budget import BudgetAllocator, TokenBudget
|
||||||
@@ -230,9 +228,7 @@ class TestContextRanker:
|
|||||||
),
|
),
|
||||||
]
|
]
|
||||||
|
|
||||||
result = await ranker.rank(
|
result = await ranker.rank(contexts, "query", budget, ensure_required=False)
|
||||||
contexts, "query", budget, ensure_required=False
|
|
||||||
)
|
|
||||||
|
|
||||||
# Without ensure_required, CRITICAL contexts can be excluded
|
# Without ensure_required, CRITICAL contexts can be excluded
|
||||||
# if budget doesn't allow
|
# if budget doesn't allow
|
||||||
@@ -246,12 +242,8 @@ class TestContextRanker:
|
|||||||
budget = allocator.create_budget(10000)
|
budget = allocator.create_budget(10000)
|
||||||
|
|
||||||
contexts = [
|
contexts = [
|
||||||
KnowledgeContext(
|
KnowledgeContext(content="Knowledge 1", source="docs", relevance_score=0.8),
|
||||||
content="Knowledge 1", source="docs", relevance_score=0.8
|
KnowledgeContext(content="Knowledge 2", source="docs", relevance_score=0.6),
|
||||||
),
|
|
||||||
KnowledgeContext(
|
|
||||||
content="Knowledge 2", source="docs", relevance_score=0.6
|
|
||||||
),
|
|
||||||
TaskContext(content="Task", source="task"),
|
TaskContext(content="Task", source="task"),
|
||||||
]
|
]
|
||||||
|
|
||||||
|
|||||||
@@ -6,7 +6,6 @@ from unittest.mock import AsyncMock, MagicMock
|
|||||||
import pytest
|
import pytest
|
||||||
|
|
||||||
from app.services.context.scoring import (
|
from app.services.context.scoring import (
|
||||||
BaseScorer,
|
|
||||||
CompositeScorer,
|
CompositeScorer,
|
||||||
PriorityScorer,
|
PriorityScorer,
|
||||||
RecencyScorer,
|
RecencyScorer,
|
||||||
@@ -149,15 +148,9 @@ class TestRelevanceScorer:
|
|||||||
scorer = RelevanceScorer()
|
scorer = RelevanceScorer()
|
||||||
|
|
||||||
contexts = [
|
contexts = [
|
||||||
KnowledgeContext(
|
KnowledgeContext(content="Python", source="1", relevance_score=0.8),
|
||||||
content="Python", source="1", relevance_score=0.8
|
KnowledgeContext(content="Java", source="2", relevance_score=0.6),
|
||||||
),
|
KnowledgeContext(content="Go", source="3", relevance_score=0.9),
|
||||||
KnowledgeContext(
|
|
||||||
content="Java", source="2", relevance_score=0.6
|
|
||||||
),
|
|
||||||
KnowledgeContext(
|
|
||||||
content="Go", source="3", relevance_score=0.9
|
|
||||||
),
|
|
||||||
]
|
]
|
||||||
|
|
||||||
scores = await scorer.score_batch(contexts, "test")
|
scores = await scorer.score_batch(contexts, "test")
|
||||||
@@ -263,7 +256,9 @@ class TestRecencyScorer:
|
|||||||
)
|
)
|
||||||
|
|
||||||
conv_score = await scorer.score(conv_context, "query", reference_time=now)
|
conv_score = await scorer.score(conv_context, "query", reference_time=now)
|
||||||
knowledge_score = await scorer.score(knowledge_context, "query", reference_time=now)
|
knowledge_score = await scorer.score(
|
||||||
|
knowledge_context, "query", reference_time=now
|
||||||
|
)
|
||||||
|
|
||||||
# Conversation should decay much faster
|
# Conversation should decay much faster
|
||||||
assert conv_score < knowledge_score
|
assert conv_score < knowledge_score
|
||||||
@@ -301,12 +296,8 @@ class TestRecencyScorer:
|
|||||||
|
|
||||||
contexts = [
|
contexts = [
|
||||||
TaskContext(content="1", source="t", timestamp=now),
|
TaskContext(content="1", source="t", timestamp=now),
|
||||||
TaskContext(
|
TaskContext(content="2", source="t", timestamp=now - timedelta(hours=24)),
|
||||||
content="2", source="t", timestamp=now - timedelta(hours=24)
|
TaskContext(content="3", source="t", timestamp=now - timedelta(hours=48)),
|
||||||
),
|
|
||||||
TaskContext(
|
|
||||||
content="3", source="t", timestamp=now - timedelta(hours=48)
|
|
||||||
),
|
|
||||||
]
|
]
|
||||||
|
|
||||||
scores = await scorer.score_batch(contexts, "query", reference_time=now)
|
scores = await scorer.score_batch(contexts, "query", reference_time=now)
|
||||||
@@ -508,8 +499,12 @@ class TestCompositeScorer:
|
|||||||
assert scored.priority_score > 0.5 # HIGH priority
|
assert scored.priority_score > 0.5 # HIGH priority
|
||||||
|
|
||||||
@pytest.mark.asyncio
|
@pytest.mark.asyncio
|
||||||
async def test_score_cached_on_context(self) -> None:
|
async def test_score_not_cached_on_context(self) -> None:
|
||||||
"""Test that score is cached on the context."""
|
"""Test that scores are NOT cached on the context.
|
||||||
|
|
||||||
|
Scores should not be cached on the context because they are query-dependent.
|
||||||
|
Different queries would get incorrect cached scores if we cached on the context.
|
||||||
|
"""
|
||||||
scorer = CompositeScorer()
|
scorer = CompositeScorer()
|
||||||
|
|
||||||
context = KnowledgeContext(
|
context = KnowledgeContext(
|
||||||
@@ -518,14 +513,18 @@ class TestCompositeScorer:
|
|||||||
relevance_score=0.5,
|
relevance_score=0.5,
|
||||||
)
|
)
|
||||||
|
|
||||||
# First scoring
|
# After scoring, context._score should remain None
|
||||||
|
# (we don't cache on context because scores are query-dependent)
|
||||||
await scorer.score(context, "query")
|
await scorer.score(context, "query")
|
||||||
assert context._score is not None
|
# The scorer should compute fresh scores each time
|
||||||
|
# rather than caching on the context object
|
||||||
|
|
||||||
# Second scoring should use cached value
|
# Score again with different query - should compute fresh score
|
||||||
context._score = 0.999 # Set to a known value
|
score1 = await scorer.score(context, "query 1")
|
||||||
score2 = await scorer.score(context, "query")
|
score2 = await scorer.score(context, "query 2")
|
||||||
assert score2 == 0.999
|
# Both should be valid scores (not necessarily equal since queries differ)
|
||||||
|
assert 0.0 <= score1 <= 1.0
|
||||||
|
assert 0.0 <= score2 <= 1.0
|
||||||
|
|
||||||
@pytest.mark.asyncio
|
@pytest.mark.asyncio
|
||||||
async def test_score_batch(self) -> None:
|
async def test_score_batch(self) -> None:
|
||||||
@@ -555,15 +554,9 @@ class TestCompositeScorer:
|
|||||||
scorer = CompositeScorer()
|
scorer = CompositeScorer()
|
||||||
|
|
||||||
contexts = [
|
contexts = [
|
||||||
KnowledgeContext(
|
KnowledgeContext(content="Low", source="docs", relevance_score=0.2),
|
||||||
content="Low", source="docs", relevance_score=0.2
|
KnowledgeContext(content="High", source="docs", relevance_score=0.9),
|
||||||
),
|
KnowledgeContext(content="Medium", source="docs", relevance_score=0.5),
|
||||||
KnowledgeContext(
|
|
||||||
content="High", source="docs", relevance_score=0.9
|
|
||||||
),
|
|
||||||
KnowledgeContext(
|
|
||||||
content="Medium", source="docs", relevance_score=0.5
|
|
||||||
),
|
|
||||||
]
|
]
|
||||||
|
|
||||||
ranked = await scorer.rank(contexts, "query")
|
ranked = await scorer.rank(contexts, "query")
|
||||||
@@ -580,9 +573,7 @@ class TestCompositeScorer:
|
|||||||
scorer = CompositeScorer()
|
scorer = CompositeScorer()
|
||||||
|
|
||||||
contexts = [
|
contexts = [
|
||||||
KnowledgeContext(
|
KnowledgeContext(content=str(i), source="docs", relevance_score=i / 10)
|
||||||
content=str(i), source="docs", relevance_score=i / 10
|
|
||||||
)
|
|
||||||
for i in range(10)
|
for i in range(10)
|
||||||
]
|
]
|
||||||
|
|
||||||
@@ -595,12 +586,8 @@ class TestCompositeScorer:
|
|||||||
scorer = CompositeScorer()
|
scorer = CompositeScorer()
|
||||||
|
|
||||||
contexts = [
|
contexts = [
|
||||||
KnowledgeContext(
|
KnowledgeContext(content="Low", source="docs", relevance_score=0.1),
|
||||||
content="Low", source="docs", relevance_score=0.1
|
KnowledgeContext(content="High", source="docs", relevance_score=0.9),
|
||||||
),
|
|
||||||
KnowledgeContext(
|
|
||||||
content="High", source="docs", relevance_score=0.9
|
|
||||||
),
|
|
||||||
]
|
]
|
||||||
|
|
||||||
ranked = await scorer.rank(contexts, "query", min_score=0.5)
|
ranked = await scorer.rank(contexts, "query", min_score=0.5)
|
||||||
@@ -625,7 +612,13 @@ class TestCompositeScorer:
|
|||||||
"""
|
"""
|
||||||
import asyncio
|
import asyncio
|
||||||
|
|
||||||
scorer = CompositeScorer()
|
# Use scorer with recency_weight=0 to eliminate time-dependent variation
|
||||||
|
# (recency scores change as time passes between calls)
|
||||||
|
scorer = CompositeScorer(
|
||||||
|
relevance_weight=0.5,
|
||||||
|
recency_weight=0.0, # Disable recency to get deterministic results
|
||||||
|
priority_weight=0.5,
|
||||||
|
)
|
||||||
|
|
||||||
# Create a single context that will be scored multiple times concurrently
|
# Create a single context that will be scored multiple times concurrently
|
||||||
context = KnowledgeContext(
|
context = KnowledgeContext(
|
||||||
@@ -639,11 +632,9 @@ class TestCompositeScorer:
|
|||||||
tasks = [scorer.score(context, "test query") for _ in range(num_concurrent)]
|
tasks = [scorer.score(context, "test query") for _ in range(num_concurrent)]
|
||||||
scores = await asyncio.gather(*tasks)
|
scores = await asyncio.gather(*tasks)
|
||||||
|
|
||||||
# All scores should be identical (the same context scored the same way)
|
# All scores should be identical (deterministic scoring without recency)
|
||||||
assert all(s == scores[0] for s in scores)
|
assert all(s == scores[0] for s in scores)
|
||||||
|
# Note: We don't cache _score on context because scores are query-dependent
|
||||||
# The context should have its _score cached
|
|
||||||
assert context._score is not None
|
|
||||||
|
|
||||||
@pytest.mark.asyncio
|
@pytest.mark.asyncio
|
||||||
async def test_concurrent_scoring_different_contexts(self) -> None:
|
async def test_concurrent_scoring_different_contexts(self) -> None:
|
||||||
@@ -671,10 +662,7 @@ class TestCompositeScorer:
|
|||||||
|
|
||||||
# Each context should have a different score based on its relevance
|
# Each context should have a different score based on its relevance
|
||||||
assert len(set(scores)) > 1 # Not all the same
|
assert len(set(scores)) > 1 # Not all the same
|
||||||
|
# Note: We don't cache _score on context because scores are query-dependent
|
||||||
# All contexts should have cached scores
|
|
||||||
for ctx in contexts:
|
|
||||||
assert ctx._score is not None
|
|
||||||
|
|
||||||
|
|
||||||
class TestScoredContext:
|
class TestScoredContext:
|
||||||
|
|||||||
@@ -1,20 +1,17 @@
|
|||||||
"""Tests for context types."""
|
"""Tests for context types."""
|
||||||
|
|
||||||
import json
|
|
||||||
from datetime import UTC, datetime, timedelta
|
from datetime import UTC, datetime, timedelta
|
||||||
|
|
||||||
import pytest
|
import pytest
|
||||||
|
|
||||||
from app.services.context.types import (
|
from app.services.context.types import (
|
||||||
AssembledContext,
|
AssembledContext,
|
||||||
BaseContext,
|
|
||||||
ContextPriority,
|
ContextPriority,
|
||||||
ContextType,
|
ContextType,
|
||||||
ConversationContext,
|
ConversationContext,
|
||||||
KnowledgeContext,
|
KnowledgeContext,
|
||||||
MessageRole,
|
MessageRole,
|
||||||
SystemContext,
|
SystemContext,
|
||||||
TaskComplexity,
|
|
||||||
TaskContext,
|
TaskContext,
|
||||||
TaskStatus,
|
TaskStatus,
|
||||||
ToolContext,
|
ToolContext,
|
||||||
@@ -181,24 +178,16 @@ class TestKnowledgeContext:
|
|||||||
|
|
||||||
def test_is_code(self) -> None:
|
def test_is_code(self) -> None:
|
||||||
"""Test is_code method."""
|
"""Test is_code method."""
|
||||||
code_ctx = KnowledgeContext(
|
code_ctx = KnowledgeContext(content="code", source="test", file_type="python")
|
||||||
content="code", source="test", file_type="python"
|
doc_ctx = KnowledgeContext(content="docs", source="test", file_type="markdown")
|
||||||
)
|
|
||||||
doc_ctx = KnowledgeContext(
|
|
||||||
content="docs", source="test", file_type="markdown"
|
|
||||||
)
|
|
||||||
|
|
||||||
assert code_ctx.is_code() is True
|
assert code_ctx.is_code() is True
|
||||||
assert doc_ctx.is_code() is False
|
assert doc_ctx.is_code() is False
|
||||||
|
|
||||||
def test_is_documentation(self) -> None:
|
def test_is_documentation(self) -> None:
|
||||||
"""Test is_documentation method."""
|
"""Test is_documentation method."""
|
||||||
doc_ctx = KnowledgeContext(
|
doc_ctx = KnowledgeContext(content="docs", source="test", file_type="markdown")
|
||||||
content="docs", source="test", file_type="markdown"
|
code_ctx = KnowledgeContext(content="code", source="test", file_type="python")
|
||||||
)
|
|
||||||
code_ctx = KnowledgeContext(
|
|
||||||
content="code", source="test", file_type="python"
|
|
||||||
)
|
|
||||||
|
|
||||||
assert doc_ctx.is_documentation() is True
|
assert doc_ctx.is_documentation() is True
|
||||||
assert code_ctx.is_documentation() is False
|
assert code_ctx.is_documentation() is False
|
||||||
@@ -333,15 +322,11 @@ class TestTaskContext:
|
|||||||
|
|
||||||
def test_status_checks(self) -> None:
|
def test_status_checks(self) -> None:
|
||||||
"""Test status check methods."""
|
"""Test status check methods."""
|
||||||
pending = TaskContext(
|
pending = TaskContext(content="test", source="test", status=TaskStatus.PENDING)
|
||||||
content="test", source="test", status=TaskStatus.PENDING
|
|
||||||
)
|
|
||||||
completed = TaskContext(
|
completed = TaskContext(
|
||||||
content="test", source="test", status=TaskStatus.COMPLETED
|
content="test", source="test", status=TaskStatus.COMPLETED
|
||||||
)
|
)
|
||||||
blocked = TaskContext(
|
blocked = TaskContext(content="test", source="test", status=TaskStatus.BLOCKED)
|
||||||
content="test", source="test", status=TaskStatus.BLOCKED
|
|
||||||
)
|
|
||||||
|
|
||||||
assert pending.is_active() is True
|
assert pending.is_active() is True
|
||||||
assert completed.is_complete() is True
|
assert completed.is_complete() is True
|
||||||
@@ -395,12 +380,8 @@ class TestToolContext:
|
|||||||
|
|
||||||
def test_is_successful(self) -> None:
|
def test_is_successful(self) -> None:
|
||||||
"""Test is_successful method."""
|
"""Test is_successful method."""
|
||||||
success = ToolContext.from_tool_result(
|
success = ToolContext.from_tool_result("test", "ok", ToolResultStatus.SUCCESS)
|
||||||
"test", "ok", ToolResultStatus.SUCCESS
|
error = ToolContext.from_tool_result("test", "error", ToolResultStatus.ERROR)
|
||||||
)
|
|
||||||
error = ToolContext.from_tool_result(
|
|
||||||
"test", "error", ToolResultStatus.ERROR
|
|
||||||
)
|
|
||||||
|
|
||||||
assert success.is_successful() is True
|
assert success.is_successful() is True
|
||||||
assert error.is_successful() is False
|
assert error.is_successful() is False
|
||||||
@@ -510,9 +491,7 @@ class TestBaseContextMethods:
|
|||||||
def test_get_age_seconds(self) -> None:
|
def test_get_age_seconds(self) -> None:
|
||||||
"""Test get_age_seconds method."""
|
"""Test get_age_seconds method."""
|
||||||
old_time = datetime.now(UTC) - timedelta(hours=2)
|
old_time = datetime.now(UTC) - timedelta(hours=2)
|
||||||
ctx = SystemContext(
|
ctx = SystemContext(content="test", source="test", timestamp=old_time)
|
||||||
content="test", source="test", timestamp=old_time
|
|
||||||
)
|
|
||||||
|
|
||||||
age = ctx.get_age_seconds()
|
age = ctx.get_age_seconds()
|
||||||
# Should be approximately 2 hours in seconds
|
# Should be approximately 2 hours in seconds
|
||||||
@@ -521,9 +500,7 @@ class TestBaseContextMethods:
|
|||||||
def test_get_age_hours(self) -> None:
|
def test_get_age_hours(self) -> None:
|
||||||
"""Test get_age_hours method."""
|
"""Test get_age_hours method."""
|
||||||
old_time = datetime.now(UTC) - timedelta(hours=5)
|
old_time = datetime.now(UTC) - timedelta(hours=5)
|
||||||
ctx = SystemContext(
|
ctx = SystemContext(content="test", source="test", timestamp=old_time)
|
||||||
content="test", source="test", timestamp=old_time
|
|
||||||
)
|
|
||||||
|
|
||||||
age = ctx.get_age_hours()
|
age = ctx.get_age_hours()
|
||||||
assert 4.9 < age < 5.1
|
assert 4.9 < age < 5.1
|
||||||
@@ -533,12 +510,8 @@ class TestBaseContextMethods:
|
|||||||
old_time = datetime.now(UTC) - timedelta(days=10)
|
old_time = datetime.now(UTC) - timedelta(days=10)
|
||||||
new_time = datetime.now(UTC) - timedelta(hours=1)
|
new_time = datetime.now(UTC) - timedelta(hours=1)
|
||||||
|
|
||||||
old_ctx = SystemContext(
|
old_ctx = SystemContext(content="test", source="test", timestamp=old_time)
|
||||||
content="test", source="test", timestamp=old_time
|
new_ctx = SystemContext(content="test", source="test", timestamp=new_time)
|
||||||
)
|
|
||||||
new_ctx = SystemContext(
|
|
||||||
content="test", source="test", timestamp=new_time
|
|
||||||
)
|
|
||||||
|
|
||||||
# Default max_age is 168 hours (7 days)
|
# Default max_age is 168 hours (7 days)
|
||||||
assert old_ctx.is_stale() is True
|
assert old_ctx.is_stale() is True
|
||||||
|
|||||||
Reference in New Issue
Block a user