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:
2026-01-04 15:23:14 +01:00
parent 9e54f16e56
commit 2bea057fb1
26 changed files with 226 additions and 273 deletions

View File

@@ -124,71 +124,55 @@ from .types import (
) )
__all__ = [ __all__ = [
# Adapters "AssembledContext",
"ClaudeAdapter",
"DefaultAdapter",
"get_adapter",
"ModelAdapter",
"OpenAIAdapter",
# Assembly
"ContextPipeline",
"PipelineMetrics",
# Budget Management
"BudgetAllocator",
"TokenBudget",
"TokenCalculator",
# Cache
"ContextCache",
# Engine
"ContextEngine",
"create_context_engine",
# Compression
"ContextCompressor",
"TruncationResult",
"TruncationStrategy",
# Configuration
"ContextSettings",
"get_context_settings",
"get_default_settings",
"reset_context_settings",
# Exceptions
"AssemblyTimeoutError", "AssemblyTimeoutError",
"BaseContext",
"BaseScorer",
"BudgetAllocator",
"BudgetExceededError", "BudgetExceededError",
"CacheError", "CacheError",
"ClaudeAdapter",
"CompositeScorer",
"CompressionError", "CompressionError",
"ContextCache",
"ContextCompressor",
"ContextEngine",
"ContextError", "ContextError",
"ContextNotFoundError", "ContextNotFoundError",
"ContextPipeline",
"ContextPriority",
"ContextRanker",
"ContextSettings",
"ContextType",
"ConversationContext",
"DefaultAdapter",
"FormattingError", "FormattingError",
"InvalidContextError", "InvalidContextError",
"ScoringError", "KnowledgeContext",
"TokenCountError", "MessageRole",
# Prioritization "ModelAdapter",
"ContextRanker", "OpenAIAdapter",
"RankingResult", "PipelineMetrics",
# Scoring
"BaseScorer",
"CompositeScorer",
"PriorityScorer", "PriorityScorer",
"RankingResult",
"RecencyScorer", "RecencyScorer",
"RelevanceScorer", "RelevanceScorer",
"ScoredContext", "ScoredContext",
# Types - Base "ScoringError",
"AssembledContext",
"BaseContext",
"ContextPriority",
"ContextType",
# Types - Conversation
"ConversationContext",
"MessageRole",
# Types - Knowledge
"KnowledgeContext",
# Types - System
"SystemContext", "SystemContext",
# Types - Task
"TaskComplexity", "TaskComplexity",
"TaskContext", "TaskContext",
"TaskStatus", "TaskStatus",
# Types - Tool "TokenBudget",
"TokenCalculator",
"TokenCountError",
"ToolContext", "ToolContext",
"ToolResultStatus", "ToolResultStatus",
"TruncationResult",
"TruncationStrategy",
"create_context_engine",
"get_adapter",
"get_context_settings",
"get_default_settings",
"reset_context_settings",
] ]

View File

@@ -5,7 +5,7 @@ Abstract base class for model-specific context formatting.
""" """
from abc import ABC, abstractmethod from abc import ABC, abstractmethod
from typing import Any from typing import Any, ClassVar
from ..types import BaseContext, ContextType from ..types import BaseContext, ContextType
@@ -19,7 +19,7 @@ class ModelAdapter(ABC):
""" """
# Model name patterns this adapter handles # Model name patterns this adapter handles
MODEL_PATTERNS: list[str] = [] MODEL_PATTERNS: ClassVar[list[str]] = []
@classmethod @classmethod
def matches_model(cls, model: str) -> bool: def matches_model(cls, model: str) -> bool:
@@ -125,7 +125,7 @@ class DefaultAdapter(ModelAdapter):
Uses simple plain-text formatting with minimal structure. Uses simple plain-text formatting with minimal structure.
""" """
MODEL_PATTERNS: list[str] = [] # Fallback adapter MODEL_PATTERNS: ClassVar[list[str]] = [] # Fallback adapter
@classmethod @classmethod
def matches_model(cls, model: str) -> bool: def matches_model(cls, model: str) -> bool:

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@@ -5,7 +5,7 @@ Provides Claude-specific context formatting using XML tags
which Claude models understand natively. which Claude models understand natively.
""" """
from typing import Any from typing import Any, ClassVar
from ..types import BaseContext, ContextType from ..types import BaseContext, ContextType
from .base import ModelAdapter from .base import ModelAdapter
@@ -25,7 +25,7 @@ class ClaudeAdapter(ModelAdapter):
- Tool result wrapping with tool names - Tool result wrapping with tool names
""" """
MODEL_PATTERNS: list[str] = ["claude", "anthropic"] MODEL_PATTERNS: ClassVar[list[str]] = ["claude", "anthropic"]
def format( def format(
self, self,

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@@ -5,7 +5,7 @@ Provides OpenAI-specific context formatting using markdown
which GPT models understand well. which GPT models understand well.
""" """
from typing import Any from typing import Any, ClassVar
from ..types import BaseContext, ContextType from ..types import BaseContext, ContextType
from .base import ModelAdapter from .base import ModelAdapter
@@ -25,7 +25,7 @@ class OpenAIAdapter(ModelAdapter):
- Code blocks for tool outputs - Code blocks for tool outputs
""" """
MODEL_PATTERNS: list[str] = ["gpt", "openai", "o1", "o3"] MODEL_PATTERNS: ClassVar[list[str]] = ["gpt", "openai", "o1", "o3"]
def format( def format(
self, self,

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@@ -102,9 +102,7 @@ class ContextPipeline:
self._ranker = ranker or ContextRanker( self._ranker = ranker or ContextRanker(
scorer=self._scorer, calculator=self._calculator scorer=self._scorer, calculator=self._calculator
) )
self._compressor = compressor or ContextCompressor( self._compressor = compressor or ContextCompressor(calculator=self._calculator)
calculator=self._calculator
)
self._allocator = BudgetAllocator(self._settings) self._allocator = BudgetAllocator(self._settings)
def set_mcp_manager(self, mcp_manager: "MCPClientManager") -> None: def set_mcp_manager(self, mcp_manager: "MCPClientManager") -> None:
@@ -336,27 +334,21 @@ class ContextPipeline:
return "\n".join(c.content for c in contexts) return "\n".join(c.content for c in contexts)
def _format_system( def _format_system(self, contexts: list[BaseContext], use_xml: bool) -> str:
self, contexts: list[BaseContext], use_xml: bool
) -> str:
"""Format system contexts.""" """Format system contexts."""
content = "\n\n".join(c.content for c in contexts) content = "\n\n".join(c.content for c in contexts)
if use_xml: if use_xml:
return f"<system_instructions>\n{content}\n</system_instructions>" return f"<system_instructions>\n{content}\n</system_instructions>"
return content return content
def _format_task( def _format_task(self, contexts: list[BaseContext], use_xml: bool) -> str:
self, contexts: list[BaseContext], use_xml: bool
) -> str:
"""Format task contexts.""" """Format task contexts."""
content = "\n\n".join(c.content for c in contexts) content = "\n\n".join(c.content for c in contexts)
if use_xml: if use_xml:
return f"<current_task>\n{content}\n</current_task>" return f"<current_task>\n{content}\n</current_task>"
return f"## Current Task\n\n{content}" return f"## Current Task\n\n{content}"
def _format_knowledge( def _format_knowledge(self, contexts: list[BaseContext], use_xml: bool) -> str:
self, contexts: list[BaseContext], use_xml: bool
) -> str:
"""Format knowledge contexts.""" """Format knowledge contexts."""
if use_xml: if use_xml:
parts = ["<reference_documents>"] parts = ["<reference_documents>"]
@@ -374,9 +366,7 @@ class ContextPipeline:
parts.append("") parts.append("")
return "\n".join(parts) return "\n".join(parts)
def _format_conversation( def _format_conversation(self, contexts: list[BaseContext], use_xml: bool) -> str:
self, contexts: list[BaseContext], use_xml: bool
) -> str:
"""Format conversation contexts.""" """Format conversation contexts."""
if use_xml: if use_xml:
parts = ["<conversation_history>"] parts = ["<conversation_history>"]
@@ -394,9 +384,7 @@ class ContextPipeline:
parts.append(f"**{role.upper()}**: {ctx.content}") parts.append(f"**{role.upper()}**: {ctx.content}")
return "\n\n".join(parts) return "\n\n".join(parts)
def _format_tool( def _format_tool(self, contexts: list[BaseContext], use_xml: bool) -> str:
self, contexts: list[BaseContext], use_xml: bool
) -> str:
"""Format tool contexts.""" """Format tool contexts."""
if use_xml: if use_xml:
parts = ["<tool_results>"] parts = ["<tool_results>"]

View File

@@ -215,9 +215,7 @@ class TokenBudget:
"buffer": self.buffer, "buffer": self.buffer,
}, },
"used": dict(self.used), "used": dict(self.used),
"remaining": { "remaining": {ct.value: self.remaining(ct) for ct in ContextType},
ct.value: self.remaining(ct) for ct in ContextType
},
"total_used": self.total_used(), "total_used": self.total_used(),
"total_remaining": self.total_remaining(), "total_remaining": self.total_remaining(),
"utilization": round(self.utilization(), 3), "utilization": round(self.utilization(), 3),
@@ -348,13 +346,11 @@ class BudgetAllocator:
# Calculate total reclaimable (excluding prioritized types) # Calculate total reclaimable (excluding prioritized types)
prioritize_values = {ct.value for ct in prioritize} prioritize_values = {ct.value for ct in prioritize}
reclaimable = sum( reclaimable = sum(
tokens for ct, tokens in unused.items() tokens for ct, tokens in unused.items() if ct not in prioritize_values
if ct not in prioritize_values
) )
# Redistribute to prioritized types that are near capacity # Redistribute to prioritized types that are near capacity
for ct in prioritize: for ct in prioritize:
ct_value = ct.value
utilization = budget.utilization(ct) utilization = budget.utilization(ct)
if utilization > 0.8: # Near capacity if utilization > 0.8: # Near capacity

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@@ -7,7 +7,7 @@ Integrates with LLM Gateway for accurate counts.
import hashlib import hashlib
import logging import logging
from typing import TYPE_CHECKING, Any, Protocol from typing import TYPE_CHECKING, Any, ClassVar, Protocol
if TYPE_CHECKING: if TYPE_CHECKING:
from app.services.mcp.client_manager import MCPClientManager from app.services.mcp.client_manager import MCPClientManager
@@ -42,10 +42,10 @@ class TokenCalculator:
""" """
# Default characters per token ratio for estimation # Default characters per token ratio for estimation
DEFAULT_CHARS_PER_TOKEN = 4.0 DEFAULT_CHARS_PER_TOKEN: ClassVar[float] = 4.0
# Model-specific ratios (more accurate estimation) # Model-specific ratios (more accurate estimation)
MODEL_CHAR_RATIOS: dict[str, float] = { MODEL_CHAR_RATIOS: ClassVar[dict[str, float]] = {
"claude": 3.5, "claude": 3.5,
"gpt-4": 4.0, "gpt-4": 4.0,
"gpt-3.5": 4.0, "gpt-3.5": 4.0,

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@@ -116,12 +116,16 @@ class ContextCache:
# This avoids JSON serializing potentially large content strings # This avoids JSON serializing potentially large content strings
context_data = [] context_data = []
for ctx in contexts: for ctx in contexts:
context_data.append({ context_data.append(
"type": ctx.get_type().value, {
"content_hash": self._hash_content(ctx.content), # Hash instead of full content "type": ctx.get_type().value,
"source": ctx.source, "content_hash": self._hash_content(
"priority": ctx.priority, # Already an int ctx.content
}) ), # Hash instead of full content
"source": ctx.source,
"priority": ctx.priority, # Already an int
}
)
data = { data = {
"contexts": context_data, "contexts": context_data,
@@ -412,7 +416,7 @@ class ContextCache:
# Get Redis info # Get Redis info
info = await self._redis.info("memory") # type: ignore info = await self._redis.info("memory") # type: ignore
stats["redis_memory_used"] = info.get("used_memory_human", "unknown") stats["redis_memory_used"] = info.get("used_memory_human", "unknown")
except Exception: except Exception as e:
pass logger.debug(f"Failed to get Redis stats: {e}")
return stats return stats

View File

@@ -78,7 +78,7 @@ class TruncationStrategy:
) )
@property @property
def TRUNCATION_MARKER(self) -> str: def truncation_marker(self) -> str:
"""Get truncation marker from settings.""" """Get truncation marker from settings."""
return self._settings.truncation_marker return self._settings.truncation_marker
@@ -141,7 +141,9 @@ class TruncationStrategy:
truncated_tokens=truncated_tokens, truncated_tokens=truncated_tokens,
content=truncated, content=truncated,
truncated=True, truncated=True,
truncation_ratio=0.0 if original_tokens == 0 else 1 - (truncated_tokens / original_tokens), truncation_ratio=0.0
if original_tokens == 0
else 1 - (truncated_tokens / original_tokens),
) )
async def _truncate_end( async def _truncate_end(
@@ -156,17 +158,17 @@ class TruncationStrategy:
Simple but effective for most content types. Simple but effective for most content types.
""" """
# Binary search for optimal truncation point # Binary search for optimal truncation point
marker_tokens = await self._count_tokens(self.TRUNCATION_MARKER, model) marker_tokens = await self._count_tokens(self.truncation_marker, model)
available_tokens = max(0, max_tokens - marker_tokens) available_tokens = max(0, max_tokens - marker_tokens)
# Edge case: if no tokens available for content, return just the marker # Edge case: if no tokens available for content, return just the marker
if available_tokens <= 0: if available_tokens <= 0:
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)
content_tokens = await self._count_tokens(content, model) content_tokens = await self._count_tokens(content, model)
if content_tokens == 0: if content_tokens == 0:
return content + self.TRUNCATION_MARKER return content + self.truncation_marker
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(

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@@ -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(

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@@ -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),
} }

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@@ -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(

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@@ -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 = []

View File

@@ -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
@@ -19,11 +19,11 @@ 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
ContextType.KNOWLEDGE: 0.0, # Knowledge scored by relevance ContextType.KNOWLEDGE: 0.0, # Knowledge scored by relevance
ContextType.CONVERSATION: 0.0, # Conversation scored by recency ContextType.CONVERSATION: 0.0, # Conversation scored by recency
} }

View File

@@ -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
}, },
) )

View File

@@ -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",
] ]

View File

@@ -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:

View File

@@ -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,

View File

@@ -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,
) )

View File

@@ -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:

View File

@@ -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:

View File

@@ -11,8 +11,6 @@ from app.services.context.types import (
ConversationContext, ConversationContext,
KnowledgeContext, KnowledgeContext,
MessageRole, MessageRole,
SystemContext,
TaskContext,
ToolContext, ToolContext,
) )

View File

@@ -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,

View File

@@ -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"),
] ]

View File

@@ -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:

View File

@@ -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