Files
my-pal-mcp-server/tools/models.py
Beehive Innovations 4151c3c3a5 Migration from Docker to Standalone Python Server (#73)
* Migration from docker to standalone server
Migration handling
Fixed tests
Use simpler in-memory storage
Support for concurrent logging to disk
Simplified direct connections to localhost

* Migration from docker / redis to standalone script
Updated tests
Updated run script
Fixed requirements
Use dotenv
Ask if user would like to install MCP in Claude Desktop once
Updated docs

* More cleanup and references to docker removed

* Cleanup

* Comments

* Fixed tests

* Fix GitHub Actions workflow for standalone Python architecture

- Install requirements-dev.txt for pytest and testing dependencies
- Remove Docker setup from simulation tests (now standalone)
- Simplify linting job to use requirements-dev.txt
- Update simulation tests to run directly without Docker

Fixes unit test failures in CI due to missing pytest dependency.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

* Remove simulation tests from GitHub Actions

- Removed simulation-tests job that makes real API calls
- Keep only unit tests (mocked, no API costs) and linting
- Simulation tests should be run manually with real API keys
- Reduces CI costs and complexity

GitHub Actions now only runs:
- Unit tests (569 tests, all mocked)
- Code quality checks (ruff, black)

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

* Fixed tests

* Fixed tests

---------

Co-authored-by: Claude <noreply@anthropic.com>
2025-06-18 23:41:22 +04:00

377 lines
17 KiB
Python

"""
Data models for tool responses and interactions
"""
from enum import Enum
from typing import Any, Literal, Optional
from pydantic import BaseModel, Field
class ToolModelCategory(Enum):
"""Categories for tool model selection based on requirements."""
EXTENDED_REASONING = "extended_reasoning" # Requires deep thinking capabilities
FAST_RESPONSE = "fast_response" # Speed and cost efficiency preferred
BALANCED = "balanced" # Balance of capability and performance
class ContinuationOffer(BaseModel):
"""Offer for Claude to continue conversation when Gemini doesn't ask follow-up"""
continuation_id: str = Field(
..., description="Thread continuation ID for multi-turn conversations across different tools"
)
note: str = Field(..., description="Message explaining continuation opportunity to Claude")
suggested_tool_params: Optional[dict[str, Any]] = Field(
None, description="Suggested parameters for continued tool usage"
)
remaining_turns: int = Field(..., description="Number of conversation turns remaining")
class ToolOutput(BaseModel):
"""Standardized output format for all tools"""
status: Literal[
"success",
"error",
"files_required_to_continue",
"full_codereview_required",
"focused_review_required",
"test_sample_needed",
"more_tests_required",
"refactor_analysis_complete",
"trace_complete",
"resend_prompt",
"code_too_large",
"continuation_available",
"no_bug_found",
] = "success"
content: Optional[str] = Field(None, description="The main content/response from the tool")
content_type: Literal["text", "markdown", "json"] = "text"
metadata: Optional[dict[str, Any]] = Field(default_factory=dict)
continuation_offer: Optional[ContinuationOffer] = Field(
None, description="Optional offer for Claude to continue conversation"
)
class FilesNeededRequest(BaseModel):
"""Request for missing files / code to continue"""
status: Literal["files_required_to_continue"] = "files_required_to_continue"
mandatory_instructions: str = Field(..., description="Critical instructions for Claude regarding required context")
files_needed: Optional[list[str]] = Field(
default_factory=list, description="Specific files that are needed for analysis"
)
suggested_next_action: Optional[dict[str, Any]] = Field(
None,
description="Suggested tool call with parameters after getting clarification",
)
class FullCodereviewRequired(BaseModel):
"""Request for full code review when scope is too large for quick review"""
status: Literal["full_codereview_required"] = "full_codereview_required"
important: Optional[str] = Field(None, description="Important message about escalation")
reason: Optional[str] = Field(None, description="Reason why full review is needed")
class FocusedReviewRequired(BaseModel):
"""Request for Claude to provide smaller, focused subsets of code for review"""
status: Literal["focused_review_required"] = "focused_review_required"
reason: str = Field(..., description="Why the current scope is too large for effective review")
suggestion: str = Field(
..., description="Suggested approach for breaking down the review into smaller, focused parts"
)
class TestSampleNeeded(BaseModel):
"""Request for additional test samples to determine testing framework"""
status: Literal["test_sample_needed"] = "test_sample_needed"
reason: str = Field(..., description="Reason why additional test samples are required")
class MoreTestsRequired(BaseModel):
"""Request for continuation to generate additional tests"""
status: Literal["more_tests_required"] = "more_tests_required"
pending_tests: str = Field(..., description="List of pending tests to be generated")
class RefactorOpportunity(BaseModel):
"""A single refactoring opportunity with precise targeting information"""
id: str = Field(..., description="Unique identifier for this refactoring opportunity")
type: Literal["decompose", "codesmells", "modernize", "organization"] = Field(
..., description="Type of refactoring"
)
severity: Literal["critical", "high", "medium", "low"] = Field(..., description="Severity level")
file: str = Field(..., description="Absolute path to the file")
start_line: int = Field(..., description="Starting line number")
end_line: int = Field(..., description="Ending line number")
context_start_text: str = Field(..., description="Exact text from start line for verification")
context_end_text: str = Field(..., description="Exact text from end line for verification")
issue: str = Field(..., description="Clear description of what needs refactoring")
suggestion: str = Field(..., description="Specific refactoring action to take")
rationale: str = Field(..., description="Why this improves the code")
code_to_replace: str = Field(..., description="Original code that should be changed")
replacement_code_snippet: str = Field(..., description="Refactored version of the code")
new_code_snippets: Optional[list[dict]] = Field(
default_factory=list, description="Additional code snippets to be added"
)
class RefactorAction(BaseModel):
"""Next action for Claude to implement refactoring"""
action_type: Literal["EXTRACT_METHOD", "SPLIT_CLASS", "MODERNIZE_SYNTAX", "REORGANIZE_CODE", "DECOMPOSE_FILE"] = (
Field(..., description="Type of action to perform")
)
target_file: str = Field(..., description="Absolute path to target file")
source_lines: str = Field(..., description="Line range (e.g., '45-67')")
description: str = Field(..., description="Step-by-step action description for Claude")
class RefactorAnalysisComplete(BaseModel):
"""Complete refactor analysis with prioritized opportunities"""
status: Literal["refactor_analysis_complete"] = "refactor_analysis_complete"
refactor_opportunities: list[RefactorOpportunity] = Field(..., description="List of refactoring opportunities")
priority_sequence: list[str] = Field(..., description="Recommended order of refactoring IDs")
next_actions_for_claude: list[RefactorAction] = Field(..., description="Specific actions for Claude to implement")
class CodeTooLargeRequest(BaseModel):
"""Request to reduce file selection due to size constraints"""
status: Literal["code_too_large"] = "code_too_large"
content: str = Field(..., description="Message explaining the size constraint")
content_type: Literal["text"] = "text"
metadata: dict[str, Any] = Field(default_factory=dict)
class ResendPromptRequest(BaseModel):
"""Request to resend prompt via file due to size limits"""
status: Literal["resend_prompt"] = "resend_prompt"
content: str = Field(..., description="Instructions for handling large prompt")
content_type: Literal["text"] = "text"
metadata: dict[str, Any] = Field(default_factory=dict)
class TraceEntryPoint(BaseModel):
"""Entry point information for trace analysis"""
file: str = Field(..., description="Absolute path to the file")
class_or_struct: str = Field(..., description="Class or module name")
method: str = Field(..., description="Method or function name")
signature: str = Field(..., description="Full method signature")
parameters: Optional[dict[str, Any]] = Field(default_factory=dict, description="Parameter values used in analysis")
class TraceTarget(BaseModel):
"""Target information for dependency analysis"""
file: str = Field(..., description="Absolute path to the file")
class_or_struct: str = Field(..., description="Class or module name")
method: str = Field(..., description="Method or function name")
signature: str = Field(..., description="Full method signature")
class CallPathStep(BaseModel):
"""A single step in the call path trace"""
from_info: dict[str, Any] = Field(..., description="Source location information", alias="from")
to: dict[str, Any] = Field(..., description="Target location information")
reason: str = Field(..., description="Reason for the call or dependency")
condition: Optional[str] = Field(None, description="Conditional logic if applicable")
ambiguous: bool = Field(False, description="Whether this call is ambiguous")
class BranchingPoint(BaseModel):
"""A branching point in the execution flow"""
file: str = Field(..., description="File containing the branching point")
method: str = Field(..., description="Method containing the branching point")
line: int = Field(..., description="Line number of the branching point")
condition: str = Field(..., description="Branching condition")
branches: list[str] = Field(..., description="Possible execution branches")
ambiguous: bool = Field(False, description="Whether the branching is ambiguous")
class SideEffect(BaseModel):
"""A side effect detected in the trace"""
type: str = Field(..., description="Type of side effect")
description: str = Field(..., description="Description of the side effect")
file: str = Field(..., description="File where the side effect occurs")
method: str = Field(..., description="Method where the side effect occurs")
line: int = Field(..., description="Line number of the side effect")
class UnresolvedDependency(BaseModel):
"""An unresolved dependency in the trace"""
reason: str = Field(..., description="Reason why the dependency is unresolved")
affected_file: str = Field(..., description="File affected by the unresolved dependency")
line: int = Field(..., description="Line number of the unresolved dependency")
class IncomingDependency(BaseModel):
"""An incoming dependency (what calls this target)"""
from_file: str = Field(..., description="Source file of the dependency")
from_class: str = Field(..., description="Source class of the dependency")
from_method: str = Field(..., description="Source method of the dependency")
line: int = Field(..., description="Line number of the dependency")
type: str = Field(..., description="Type of dependency")
class OutgoingDependency(BaseModel):
"""An outgoing dependency (what this target calls)"""
to_file: str = Field(..., description="Target file of the dependency")
to_class: str = Field(..., description="Target class of the dependency")
to_method: str = Field(..., description="Target method of the dependency")
line: int = Field(..., description="Line number of the dependency")
type: str = Field(..., description="Type of dependency")
class TypeDependency(BaseModel):
"""A type-level dependency (inheritance, imports, etc.)"""
dependency_type: str = Field(..., description="Type of dependency")
source_file: str = Field(..., description="Source file of the dependency")
source_entity: str = Field(..., description="Source entity (class, module)")
target: str = Field(..., description="Target entity")
class StateAccess(BaseModel):
"""State access information"""
file: str = Field(..., description="File where state is accessed")
method: str = Field(..., description="Method accessing the state")
access_type: str = Field(..., description="Type of access (reads, writes, etc.)")
state_entity: str = Field(..., description="State entity being accessed")
class TraceComplete(BaseModel):
"""Complete trace analysis response"""
status: Literal["trace_complete"] = "trace_complete"
trace_type: Literal["precision", "dependencies"] = Field(..., description="Type of trace performed")
# Precision mode fields
entry_point: Optional[TraceEntryPoint] = Field(None, description="Entry point for precision trace")
call_path: Optional[list[CallPathStep]] = Field(default_factory=list, description="Call path for precision trace")
branching_points: Optional[list[BranchingPoint]] = Field(default_factory=list, description="Branching points")
side_effects: Optional[list[SideEffect]] = Field(default_factory=list, description="Side effects detected")
unresolved: Optional[list[UnresolvedDependency]] = Field(
default_factory=list, description="Unresolved dependencies"
)
# Dependencies mode fields
target: Optional[TraceTarget] = Field(None, description="Target for dependency analysis")
incoming_dependencies: Optional[list[IncomingDependency]] = Field(
default_factory=list, description="Incoming dependencies"
)
outgoing_dependencies: Optional[list[OutgoingDependency]] = Field(
default_factory=list, description="Outgoing dependencies"
)
type_dependencies: Optional[list[TypeDependency]] = Field(default_factory=list, description="Type dependencies")
state_access: Optional[list[StateAccess]] = Field(default_factory=list, description="State access information")
class DiagnosticHypothesis(BaseModel):
"""A debugging hypothesis with context and next steps"""
rank: int = Field(..., description="Ranking of this hypothesis (1 = most likely)")
confidence: Literal["high", "medium", "low"] = Field(..., description="Confidence level")
hypothesis: str = Field(..., description="Description of the potential root cause")
reasoning: str = Field(..., description="Why this hypothesis is plausible")
next_step: str = Field(..., description="Suggested action to test/validate this hypothesis")
class StructuredDebugResponse(BaseModel):
"""Enhanced debug response with multiple hypotheses"""
summary: str = Field(..., description="Brief summary of the issue")
hypotheses: list[DiagnosticHypothesis] = Field(..., description="Ranked list of potential causes")
immediate_actions: list[str] = Field(
default_factory=list,
description="Immediate steps to take regardless of root cause",
)
additional_context_needed: Optional[list[str]] = Field(
default_factory=list,
description="Additional files or information that would help with analysis",
)
class DebugHypothesis(BaseModel):
"""A debugging hypothesis with detailed analysis"""
name: str = Field(..., description="Name/title of the hypothesis")
confidence: Literal["High", "Medium", "Low"] = Field(..., description="Confidence level")
root_cause: str = Field(..., description="Technical explanation of the root cause")
evidence: str = Field(..., description="Logs or code clues supporting this hypothesis")
correlation: str = Field(..., description="How symptoms map to the cause")
validation: str = Field(..., description="Quick test to confirm the hypothesis")
minimal_fix: str = Field(..., description="Smallest change to resolve the issue")
regression_check: str = Field(..., description="Why this fix is safe")
file_references: list[str] = Field(default_factory=list, description="File:line format for exact locations")
class DebugAnalysisComplete(BaseModel):
"""Complete debugging analysis with systematic investigation tracking"""
status: Literal["analysis_complete"] = "analysis_complete"
investigation_id: str = Field(..., description="Auto-generated unique ID for this investigation")
summary: str = Field(..., description="Brief description of the problem and its impact")
investigation_steps: list[str] = Field(..., description="Steps taken during the investigation")
hypotheses: list[DebugHypothesis] = Field(..., description="Ranked hypotheses with detailed analysis")
key_findings: list[str] = Field(..., description="Important discoveries made during analysis")
immediate_actions: list[str] = Field(..., description="Steps to take regardless of which hypothesis is correct")
recommended_tools: list[str] = Field(default_factory=list, description="Additional tools recommended for analysis")
prevention_strategy: Optional[str] = Field(
None, description="Targeted measures to prevent this exact issue from recurring"
)
investigation_summary: str = Field(
..., description="Comprehensive summary of the complete investigation process and conclusions"
)
class NoBugFound(BaseModel):
"""Response when thorough investigation finds no concrete evidence of a bug"""
status: Literal["no_bug_found"] = "no_bug_found"
summary: str = Field(..., description="Summary of what was thoroughly investigated")
investigation_steps: list[str] = Field(..., description="Steps taken during the investigation")
areas_examined: list[str] = Field(..., description="Code areas and potential failure points examined")
confidence_level: Literal["High", "Medium", "Low"] = Field(
..., description="Confidence level in the no-bug finding"
)
alternative_explanations: list[str] = Field(
..., description="Possible alternative explanations for reported symptoms"
)
recommended_questions: list[str] = Field(..., description="Questions to clarify the issue with the user")
next_steps: list[str] = Field(..., description="Suggested actions to better understand the reported issue")
# Registry mapping status strings to their corresponding Pydantic models
SPECIAL_STATUS_MODELS = {
"files_required_to_continue": FilesNeededRequest,
"full_codereview_required": FullCodereviewRequired,
"focused_review_required": FocusedReviewRequired,
"test_sample_needed": TestSampleNeeded,
"more_tests_required": MoreTestsRequired,
"refactor_analysis_complete": RefactorAnalysisComplete,
"trace_complete": TraceComplete,
"resend_prompt": ResendPromptRequest,
"code_too_large": CodeTooLargeRequest,
"analysis_complete": DebugAnalysisComplete,
"no_bug_found": NoBugFound,
}