feat(prompts): implement Phase 3 - Resolver Engine (FR-3)
Implement deterministic multi-space resolution with configurable search order. Core Features: - ResolutionContext and ResolutionResult for tracking resolution state - MultiSpaceResolutionStrategy implementing FR-3.1 search order: 1. Local InformationSpace 2. Explicitly included InformationSpaces 3. Default InformationSpace 4. Team/Shared InformationSpace - PromptResolver with macro resolution logic - ContextCompiler for assembling resolved prompts - ResolutionConfig for configurable resolution behavior Resolution Behavior: - Required macros fail if not found (FR-3.2) - Optional macros resolve to empty (FR-3.3) - Generate macros detected for deferred execution (FR-3.4) - Deterministic search order with duplicate removal - Partial compilation support for debugging Tests (31 passing): - 14 strategy tests (search order, duplicates, priority) - 9 resolver tests (required, optional, generate, multi-space) - 8 compiler tests (substitution, dependencies, digests) Implements: - FR-3.1: Deterministic resolution order - FR-3.2: Required macro validation - FR-3.3: Optional macro fallback - FR-3.4: Generate macro detection - FR-3.5: Max generation depth configuration Files Created: - markitect/prompts/resolver/models.py - markitect/prompts/resolver/strategy.py - markitect/prompts/resolver/resolver.py - markitect/prompts/resolver/compiler.py - migrations/prompts/002_create_resolution_config.sql - tests/unit/prompts/test_resolution_strategy.py - tests/unit/prompts/test_prompt_resolver.py - tests/unit/prompts/test_context_compiler.py Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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markitect/prompts/resolver/resolver.py
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markitect/prompts/resolver/resolver.py
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"""
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PromptResolver for resolving template macros.
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Implements FR-3: PromptResolver Behavior
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"""
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from typing import List, Optional
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from markitect.prompts.templates.models import PromptTemplate, ContentMacro, MacroKind
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from markitect.prompts.resolver.models import (
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ResolutionContext,
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ResolutionResult,
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ResolutionError,
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ResolvedMacro,
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)
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from markitect.prompts.resolver.strategy import ResolutionStrategy, ResolutionConfig
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from markitect.prompts.services.artifact_service import ArtifactService
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class PromptResolver:
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"""
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Resolver for prompt template macros.
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Implements FR-3: PromptResolver Behavior
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- Deterministic resolution order (FR-3.1)
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- Required macro validation (FR-3.2)
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- Optional macro fallback (FR-3.3)
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- Generate macro detection (FR-3.4)
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"""
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def __init__(
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self,
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artifact_service: ArtifactService,
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strategy: ResolutionStrategy,
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):
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"""
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Initialize resolver.
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Args:
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artifact_service: Service for artifact lookup
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strategy: Resolution strategy for search order
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"""
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self.artifact_service = artifact_service
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self.strategy = strategy
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def resolve_template(
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self,
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template: PromptTemplate,
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config: ResolutionConfig,
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) -> ResolutionResult:
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"""
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Resolve all macros in a template.
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Implements FR-3: PromptResolver Behavior
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Args:
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template: Template to resolve
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config: Resolution configuration
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Returns:
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ResolutionResult with resolved macros and status
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Raises:
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ValueError: If template hasn't been analyzed
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"""
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if not template.analyzed:
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raise ValueError(
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f"Template '{template.name}' must be analyzed before resolution. "
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"Call TemplateAnalyzer.analyze() first."
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)
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# Get search order
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search_order = self.strategy.get_search_order(config)
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# Create resolution context
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context = ResolutionContext(
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template_id=template.id,
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space_id=config.space_id,
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search_order=search_order,
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)
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# Track resolved content and dependencies
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resolved_content = {}
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dependency_artifacts = []
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# Resolve each macro
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for macro in template.macros:
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resolved = self._resolve_macro(macro, search_order, context)
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if resolved.resolved and resolved.artifact:
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resolved_content[macro.target] = resolved.content
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dependency_artifacts.append(resolved.artifact.id)
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# Create result
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result = ResolutionResult(
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context=context,
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success=len(context.unresolved_required) == 0,
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resolved_content=resolved_content,
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dependency_artifacts=dependency_artifacts,
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needs_generation=len(context.generator_macros) > 0,
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)
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return result
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def _resolve_macro(
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self,
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macro: ContentMacro,
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search_order: List[str],
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context: ResolutionContext,
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) -> ResolvedMacro:
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"""
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Resolve a single macro.
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Implements:
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- FR-3.2: Required macro failure
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- FR-3.3: Optional macro empty fallback
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- FR-3.4: Generate macro detection
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Args:
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macro: Macro to resolve
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search_order: Ordered space IDs to search
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context: Resolution context
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Returns:
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ResolvedMacro with resolution result
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"""
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# Handle generate macros separately (FR-3.4)
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if macro.kind == MacroKind.GENERATE:
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context.add_generator(macro)
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return ResolvedMacro(
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macro=macro,
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artifact=None,
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resolved=False, # Will be resolved during generation phase
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space_id=None,
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content="",
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)
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# Try to resolve in each space
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for space_id in search_order:
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artifact = self.artifact_service.repository.get_by_name(
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space_id,
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macro.target,
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)
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if artifact:
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# Found! Get content (would need to load from storage in real impl)
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# For now, we'll use a placeholder
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content = f"[Content of {artifact.name} from {space_id}]"
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resolved = ResolvedMacro(
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macro=macro,
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artifact=artifact,
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resolved=True,
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space_id=space_id,
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content=content,
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)
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context.add_resolved(resolved)
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return resolved
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# Not found in any space
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if macro.kind == MacroKind.REQUIRED:
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# FR-3.2: Required macros fail if not found
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context.add_unresolved_required(macro)
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return ResolvedMacro(
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macro=macro,
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artifact=None,
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resolved=False,
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space_id=None,
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content="",
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)
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else:
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# FR-3.3: Optional macros resolve to empty
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context.add_unresolved_optional(macro)
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return ResolvedMacro(
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macro=macro,
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artifact=None,
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resolved=False,
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space_id=None,
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content="", # Empty content for optional
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)
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def validate_resolution(self, result: ResolutionResult) -> None:
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"""
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Validate resolution result.
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Args:
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result: Resolution result to validate
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Raises:
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ResolutionError: If required macros are missing
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"""
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if not result.success:
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unresolved = result.context.unresolved_required
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targets = [m.target for m in unresolved]
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raise ResolutionError(
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f"Failed to resolve required macros: {', '.join(targets)}"
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)
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def get_resolution_summary(self, result: ResolutionResult) -> dict:
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"""
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Get human-readable summary of resolution.
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Args:
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result: Resolution result
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Returns:
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Dictionary with summary information
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"""
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return {
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"status": result.status.value,
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"success": result.success,
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"resolved_count": len(result.context.resolved_macros),
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"unresolved_required": [
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m.target for m in result.context.unresolved_required
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],
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"unresolved_optional": [
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m.target for m in result.context.unresolved_optional
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],
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"needs_generation": result.needs_generation,
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"generator_count": len(result.context.generator_macros),
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"dependency_count": len(result.dependency_artifacts),
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"search_order": result.context.search_order,
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}
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