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Agentic Architecture Pattern: Dependency Management

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    """
Pattern 280: Dependency Management

Purpose: Dependency resolution, version compatibility, and conflict detection
"""

from typing import Dict, Any, List, Optional, Set, Tuple
from dataclasses import dataclass, field
from datetime import datetime
from enum import Enum
from collections import defaultdict


class DependencyType(Enum):
    """Type of dependency."""
    RUNTIME = "runtime"
    BUILD = "build"
    DEVELOPMENT = "development"
    PEER = "peer"
    OPTIONAL = "optional"


class ConflictType(Enum):
    """Type of version conflict."""
    VERSION_MISMATCH = "version_mismatch"
    CIRCULAR_DEPENDENCY = "circular_dependency"
    MISSING_DEPENDENCY = "missing_dependency"
    INCOMPATIBLE_VERSION = "incompatible_version"


@dataclass
class Version:
    """Semantic version."""
    major: int
    minor: int
    patch: int
    
    def __str__(self) -> str:
        return f"{self.major}.{self.minor}.{self.patch}"
    
    def __eq__(self, other) -> bool:
        return (self.major == other.major and 
                self.minor == other.minor and 
                self.patch == other.patch)
    
    def __lt__(self, other) -> bool:
        if self.major != other.major:
            return self.major < other.major
        if self.minor != other.minor:
            return self.minor < other.minor
        return self.patch  bool:
        return self == other or self  bool:
        return not self  bool:
        return not self  'Version':
        """Parse version from string."""
        parts = version_str.split('.')
        return cls(
            major=int(parts[0]),
            minor=int(parts[1]) if len(parts) > 1 else 0,
            patch=int(parts[2]) if len(parts) > 2 else 0
        )
    
    def satisfies(self, constraint: str) -> bool:
        """Check if version satisfies constraint (e.g., >=1.2.0, ~1.2.0)."""
        if constraint.startswith('>='):
            min_version = Version.from_string(constraint[2:])
            return self >= min_version
        elif constraint.startswith('>'):
            min_version = Version.from_string(constraint[1:])
            return self > min_version
        elif constraint.startswith('<='):
            max_version = Version.from_string(constraint[2:])
            return self <= max_version
        elif constraint.startswith('<'):
            max_version = Version.from_string(constraint[1:])
            return self = base_version)
        elif constraint.startswith('^'):
            # Compatible within same major version
            base_version = Version.from_string(constraint[1:])
            return self.major == base_version.major and self >= base_version
        else:
            # Exact match
            required_version = Version.from_string(constraint)
            return self == required_version


@dataclass
class Dependency:
    """Represents a package dependency."""
    package: str
    version: Version
    constraint: str  # Version constraint like >=1.0.0
    dep_type: DependencyType
    dependencies: List[str] = field(default_factory=list)  # Transitive dependencies


@dataclass
class Conflict:
    """Represents a dependency conflict."""
    conflict_type: ConflictType
    packages: List[str]
    description: str
    suggested_resolution: str


class DependencyManagement:
    """
    Implements dependency management pattern.
    
    Features:
    - Dependency registration and tracking
    - Version resolution
    - Conflict detection
    - Circular dependency detection
    - Transitive dependency resolution
    - Compatibility checking
    """
    
    def __init__(self):
        self.dependencies: Dict[str, Dependency] = {}
        self.available_versions: Dict[str, List[Version]] = defaultdict(list)
        self.conflicts: List[Conflict] = []
        
        # Statistics
        self.statistics = {
            "total_dependencies": 0,
            "conflicts_detected": 0,
            "conflicts_resolved": 0,
            "circular_dependencies": 0,
            "version_resolutions": 0
        }
    
    def register_dependency(
        self,
        package: str,
        version: str,
        constraint: str = None,
        dep_type: DependencyType = DependencyType.RUNTIME,
        dependencies: List[str] = None
    ) -> Dict[str, Any]:
        """
        Register a dependency.
        
        Args:
            package: Package name
            version: Version string
            constraint: Version constraint
            dep_type: Type of dependency
            dependencies: List of transitive dependencies
            
        Returns:
            Status of registration
        """
        version_obj = Version.from_string(version)
        
        # Check if already registered
        if package in self.dependencies:
            existing = self.dependencies[package]
            if existing.version != version_obj:
                # Version conflict
                conflict = Conflict(
                    conflict_type=ConflictType.VERSION_MISMATCH,
                    packages=[package],
                    description=f"Package '{package}' has conflicting versions: "
                               f"{existing.version} vs {version_obj}",
                    suggested_resolution=f"Use version {max(existing.version, version_obj)}"
                )
                self.conflicts.append(conflict)
                self.statistics["conflicts_detected"] += 1
                
                return {
                    "success": False,
                    "package": package,
                    "conflict": {
                        "type": conflict.conflict_type.value,
                        "description": conflict.description
                    },
                    "message": f"Version conflict detected for '{package}'"
                }
        
        # Register dependency
        dependency = Dependency(
            package=package,
            version=version_obj,
            constraint=constraint or f"={version}",
            dep_type=dep_type,
            dependencies=dependencies or []
        )
        self.dependencies[package] = dependency
        self.available_versions[package].append(version_obj)
        self.statistics["total_dependencies"] += 1
        
        return {
            "success": True,
            "package": package,
            "version": str(version_obj),
            "type": dep_type.value,
            "message": f"Dependency '{package}' registered"
        }
    
    def resolve_version(
        self,
        package: str,
        constraint: str
    ) -> Dict[str, Any]:
        """
        Resolve a version that satisfies the constraint.
        
        Args:
            package: Package name
            constraint: Version constraint
            
        Returns:
            Resolved version or error
        """
        if package not in self.available_versions:
            return {
                "success": False,
                "package": package,
                "message": f"Package '{package}' not found"
            }
        
        # Find versions that satisfy constraint
        available = self.available_versions[package]
        satisfying = [v for v in available if v.satisfies(constraint)]
        
        if not satisfying:
            return {
                "success": False,
                "package": package,
                "constraint": constraint,
                "available_versions": [str(v) for v in available],
                "message": f"No version satisfies constraint '{constraint}'"
            }
        
        # Return highest satisfying version
        resolved = max(satisfying)
        self.statistics["version_resolutions"] += 1
        
        return {
            "success": True,
            "package": package,
            "constraint": constraint,
            "resolved_version": str(resolved),
            "message": f"Resolved '{package}' to version {resolved}"
        }
    
    def detect_circular_dependencies(self) -> Dict[str, Any]:
        """
        Detect circular dependencies in the dependency graph.
        
        Returns:
            List of circular dependency chains
        """
        def visit(package: str, path: List[str], visited: Set[str]) -> Optional[List[str]]:
            """DFS to detect cycles."""
            if package in path:
                # Found cycle
                cycle_start = path.index(package)
                return path[cycle_start:] + [package]
            
            if package in visited:
                return None
            
            visited.add(package)
            path.append(package)
            
            # Check dependencies
            if package in self.dependencies:
                dep = self.dependencies[package]
                for dep_package in dep.dependencies:
                    cycle = visit(dep_package, path.copy(), visited)
                    if cycle:
                        return cycle
            
            return None
        
        cycles = []
        visited = set()
        
        for package in self.dependencies.keys():
            if package not in visited:
                cycle = visit(package, [], visited)
                if cycle:
                    cycles.append(cycle)
                    
                    # Record conflict
                    conflict = Conflict(
                        conflict_type=ConflictType.CIRCULAR_DEPENDENCY,
                        packages=cycle,
                        description=f"Circular dependency: {' -> '.join(cycle)}",
                        suggested_resolution="Break the cycle by removing one dependency"
                    )
                    self.conflicts.append(conflict)
                    self.statistics["circular_dependencies"] += 1
        
        if cycles:
            self.statistics["conflicts_detected"] += len(cycles)
        
        return {
            "has_circular_dependencies": len(cycles) > 0,
            "cycles": [" -> ".join(cycle) for cycle in cycles],
            "count": len(cycles),
            "message": f"Found {len(cycles)} circular dependencies" if cycles else "No circular dependencies"
        }
    
    def get_transitive_dependencies(self, package: str) -> Dict[str, Any]:
        """
        Get all transitive dependencies for a package.
        
        Args:
            package: Package name
            
        Returns:
            List of all transitive dependencies
        """
        if package not in self.dependencies:
            return {
                "success": False,
                "message": f"Package '{package}' not found"
            }
        
        def collect_deps(pkg: str, collected: Set[str]) -> None:
            """Recursively collect dependencies."""
            if pkg in collected:
                return
            
            collected.add(pkg)
            
            if pkg in self.dependencies:
                dep = self.dependencies[pkg]
                for dep_pkg in dep.dependencies:
                    collect_deps(dep_pkg, collected)
        
        transitive = set()
        collect_deps(package, transitive)
        transitive.remove(package)  # Remove the package itself
        
        return {
            "success": True,
            "package": package,
            "transitive_dependencies": sorted(list(transitive)),
            "count": len(transitive),
            "message": f"Found {len(transitive)} transitive dependencies"
        }
    
    def check_compatibility(
        self,
        package1: str,
        package2: str
    ) -> Dict[str, Any]:
        """
        Check if two packages are compatible based on their dependencies.
        
        Args:
            package1: First package
            package2: Second package
            
        Returns:
            Compatibility analysis
        """
        if package1 not in self.dependencies or package2 not in self.dependencies:
            return {
                "success": False,
                "message": "One or both packages not found"
            }
        
        dep1 = self.dependencies[package1]
        dep2 = self.dependencies[package2]
        
        # Find common dependencies
        deps1 = set(dep1.dependencies)
        deps2 = set(dep2.dependencies)
        common = deps1.intersection(deps2)
        
        conflicts = []
        
        # Check if common dependencies have compatible versions
        for common_pkg in common:
            if common_pkg in self.dependencies:
                # Both depend on same package - check versions
                # This is a simplified check
                pass  # In real implementation, check version constraints
        
        is_compatible = len(conflicts) == 0
        
        return {
            "success": True,
            "package1": package1,
            "package2": package2,
            "compatible": is_compatible,
            "common_dependencies": sorted(list(common)),
            "conflicts": conflicts,
            "message": "Compatible" if is_compatible else f"{len(conflicts)} conflicts found"
        }
    
    def get_dependency_info(self, package: str) -> Dict[str, Any]:
        """Get detailed information about a dependency."""
        if package not in self.dependencies:
            return {
                "success": False,
                "message": f"Package '{package}' not found"
            }
        
        dep = self.dependencies[package]
        
        return {
            "success": True,
            "package": package,
            "version": str(dep.version),
            "constraint": dep.constraint,
            "type": dep.dep_type.value,
            "dependencies": dep.dependencies,
            "available_versions": [str(v) for v in self.available_versions[package]]
        }
    
    def list_dependencies(
        self,
        dep_type: Optional[DependencyType] = None
    ) -> Dict[str, Any]:
        """List all dependencies with optional type filter."""
        deps_list = []
        
        for package, dep in self.dependencies.items():
            if dep_type and dep.dep_type != dep_type:
                continue
            
            deps_list.append({
                "package": package,
                "version": str(dep.version),
                "type": dep.dep_type.value,
                "dependency_count": len(dep.dependencies)
            })
        
        return {
            "total": len(deps_list),
            "dependencies": deps_list
        }
    
    def get_conflicts(self) -> Dict[str, Any]:
        """Get all detected conflicts."""
        conflicts_list = [
            {
                "type": c.conflict_type.value,
                "packages": c.packages,
                "description": c.description,
                "resolution": c.suggested_resolution
            }
            for c in self.conflicts
        ]
        
        return {
            "total": len(conflicts_list),
            "conflicts": conflicts_list
        }
    
    def get_statistics(self) -> Dict[str, Any]:
        """Get dependency management statistics."""
        return {
            "total_dependencies": self.statistics["total_dependencies"],
            "conflicts_detected": self.statistics["conflicts_detected"],
            "conflicts_resolved": self.statistics["conflicts_resolved"],
            "circular_dependencies": self.statistics["circular_dependencies"],
            "version_resolutions": self.statistics["version_resolutions"],
            "unique_packages": len(self.dependencies)
        }


class DependencyManagementPattern:
    """
    Coordinator for dependency management.
    
    Manages dependency resolution and compatibility.
    """
    
    def __init__(self):
        self.management = DependencyManagement()
    
    def register_dependency(self, package: str, version: str, **kwargs) -> Dict[str, Any]:
        """Register dependency."""
        return self.management.register_dependency(package, version, **kwargs)
    
    def resolve_version(self, package: str, constraint: str) -> Dict[str, Any]:
        """Resolve version."""
        return self.management.resolve_version(package, constraint)
    
    def detect_circular_dependencies(self) -> Dict[str, Any]:
        """Detect circular dependencies."""
        return self.management.detect_circular_dependencies()
    
    def get_transitive_dependencies(self, package: str) -> Dict[str, Any]:
        """Get transitive dependencies."""
        return self.management.get_transitive_dependencies(package)
    
    def check_compatibility(self, package1: str, package2: str) -> Dict[str, Any]:
        """Check compatibility."""
        return self.management.check_compatibility(package1, package2)
    
    def get_dependency_info(self, package: str) -> Dict[str, Any]:
        """Get dependency info."""
        return self.management.get_dependency_info(package)
    
    def list_dependencies(self) -> Dict[str, Any]:
        """List dependencies."""
        return self.management.list_dependencies()
    
    def get_statistics(self) -> Dict[str, Any]:
        """Get statistics."""
        return self.management.get_statistics()


# Example usage
if __name__ == "__main__":
    print("=== Dependency Management Demo ===\n")
    
    # Create dependency management
    pattern = DependencyManagementPattern()
    
    print("1. Registering dependencies...")
    
    # Register packages
    pattern.register_dependency("express", "4.18.0", dep_type=DependencyType.RUNTIME)
    pattern.register_dependency("react", "18.2.0", dep_type=DependencyType.RUNTIME, dependencies=["react-dom"])
    pattern.register_dependency("react-dom", "18.2.0", dep_type=DependencyType.RUNTIME)
    pattern.register_dependency("typescript", "5.0.0", dep_type=DependencyType.DEVELOPMENT)
    pattern.register_dependency("lodash", "4.17.21", dep_type=DependencyType.RUNTIME)
    
    # Register multiple versions
    pattern.register_dependency("axios", "1.4.0", dep_type=DependencyType.RUNTIME)
    pattern.management.available_versions["axios"].append(Version.from_string("1.3.0"))
    pattern.management.available_versions["axios"].append(Version.from_string("0.27.2"))
    
    deps = pattern.list_dependencies()
    print(f"  Total dependencies: {deps['total']}")
    for dep in deps['dependencies']:
        print(f"    - {dep['package']} v{dep['version']} ({dep['type']})")
    
    print("\n2. Resolving version with constraint...")
    result = pattern.resolve_version("axios", ">=1.0.0")
    if result['success']:
        print(f"  {result['message']}")
        print(f"  Constraint: {result['constraint']}")
        print(f"  Resolved: {result['resolved_version']}")
    
    print("\n3. Getting transitive dependencies...")
    result = pattern.get_transitive_dependencies("react")
    if result['success']:
        print(f"  Package: {result['package']}")
        print(f"  Transitive deps: {', '.join(result['transitive_dependencies'])}")
    
    print("\n4. Testing version conflict...")
    result = pattern.register_dependency("express", "5.0.0")  # Different version
    if not result['success']:
        print(f"  āœ“ {result['message']}")
        print(f"    Conflict: {result['conflict']['description']}")
    
    print("\n5. Creating circular dependency...")
    pattern.register_dependency("pkg-a", "1.0.0", dependencies=["pkg-b"])
    pattern.register_dependency("pkg-b", "1.0.0", dependencies=["pkg-c"])
    pattern.register_dependency("pkg-c", "1.0.0", dependencies=["pkg-a"])
    
    result = pattern.detect_circular_dependencies()
    print(f"  {result['message']}")
    if result['has_circular_dependencies']:
        for cycle in result['cycles']:
            print(f"    Cycle: {cycle}")
    
    print("\n6. Checking compatibility...")
    result = pattern.check_compatibility("react", "react-dom")
    print(f"  {result['package1']} and {result['package2']}: {result['message']}")
    if result['common_dependencies']:
        print(f"  Common dependencies: {', '.join(result['common_dependencies'])}")
    
    print("\n7. Getting dependency info...")
    info = pattern.get_dependency_info("axios")
    if info['success']:
        print(f"  Package: {info['package']}")
        print(f"  Current version: {info['version']}")
        print(f"  Available versions: {', '.join(info['available_versions'])}")
        print(f"  Type: {info['type']}")
    
    print("\n8. Dependency statistics:")
    stats = pattern.get_statistics()
    print(f"  Total dependencies: {stats['total_dependencies']}")
    print(f"  Unique packages: {stats['unique_packages']}")
    print(f"  Conflicts detected: {stats['conflicts_detected']}")
    print(f"  Circular dependencies: {stats['circular_dependencies']}")
    print(f"  Version resolutions: {stats['version_resolutions']}")
    
    print("\nāœ“ Comprehensive dependency management complete!")

Agentic Architecture Pattern: Dependency Management

Pattern 280: 280 Dependency Management – Line-by-Line Explanation

Overview

Pattern 280: Dependency Management

Purpose: Dependency resolution, version compatibility, and conflict detection

Code Structure Analysis

File Information

  • Pattern Number: 280
  • Pattern Name: 280 Dependency Management
  • File Path: patterns\deployment\280_dependency_management.py
  • Total Lines: 606

Detailed Code Explanation

Module Docstring

"""
Pattern 280: Dependency Management

Purpose: Dependency resolution, version compatibility, and conflict detection
"""

Explanation: This module docstring describes the purpose and key features of the 280 Dependency Management pattern.

Imports Section

from typing import Dict, Any, List, Optional, Set, Tuple
from dataclasses import dataclass, field
from datetime import datetime
from enum import Enum
from collections import defaultdict  # First 20 imports shown

Explanation: The module imports necessary dependencies: – from typing import Dict, Any, List, Optional, Set, Tuple: Type hints for better code documentation – from dataclasses import dataclass, field: Data class decorators for clean data structures – from datetime import datetime: Date and time utilities – from enum import Enum: Enumeration support for fixed sets of values

Enumerations

DependencyType (Line 14)

class DependencyType(Enum):
    RUNTIME
    BUILD
    DEVELOPMENT
    PEER
    OPTIONAL

Purpose: Type of dependency.

Values: – RUNTIME: Represents runtime – BUILD: Represents build – DEVELOPMENT: Represents development – PEER: Represents peer – OPTIONAL: Represents optional

ConflictType (Line 23)

class ConflictType(Enum):
    VERSION_MISMATCH
    CIRCULAR_DEPENDENCY
    MISSING_DEPENDENCY
    INCOMPATIBLE_VERSION

Purpose: Type of version conflict.

Values: – VERSION_MISMATCH: Represents version mismatch – CIRCULAR_DEPENDENCY: Represents circular dependency – MISSING_DEPENDENCY: Represents missing dependency – INCOMPATIBLE_VERSION: Represents incompatible version

Classes

DependencyType (Line 14)

Description: Type of dependency.

ConflictType (Line 23)

Description: Type of version conflict.

Version (Line 32)

Description: Semantic version.

Methods:

__str__ (Line 38)
def __str__(self):
    """No method docstring."""

Purpose: No method docstring.

Parameters: – self: Instance reference

__eq__ (Line 41)
def __eq__(self, other):
    """No method docstring."""

Purpose: No method docstring.

Parameters: – self: Instance reference – other: Parameter for other

__lt__ (Line 46)
def __lt__(self, other):
    """No method docstring."""

Purpose: No method docstring.

Parameters: – self: Instance reference – other: Parameter for other

__le__ (Line 53)
def __le__(self, other):
    """No method docstring."""

Purpose: No method docstring.

Parameters: – self: Instance reference – other: Parameter for other

__gt__ (Line 56)
def __gt__(self, other):
    """No method docstring."""

Purpose: No method docstring.

Parameters: – self: Instance reference – other: Parameter for other

__ge__ (Line 59)
def __ge__(self, other):
    """No method docstring."""

Purpose: No method docstring.

Parameters: – self: Instance reference – other: Parameter for other

from_string (Line 63)
def from_string(cls, version_str):
    """Parse version from string."""

Purpose: Parse version from string.

Parameters: – cls: Parameter for cls – version_str: Parameter for version_str

satisfies (Line 72)
def satisfies(self, constraint):
    """Check if version satisfies constraint (e.g., >=1.2.0, ~1.2.0)."""

Purpose: Check if version satisfies constraint (e.g., >=1.2.0, ~1.2.0).

Parameters: – self: Instance reference – constraint: Parameter for constraint

Dependency (Line 103)

Description: Represents a package dependency.

Conflict (Line 113)

Description: Represents a dependency conflict.

DependencyManagement (Line 121)

Description: Implements dependency management pattern.

Features: – Dependency registration and tracking – Version resolution – Conflict detection – Circular dependency detection – Transitive dependency resolution – Compatibility checking

Methods:

__init__ (Line 134)
def __init__(self):
    """No method docstring."""

Purpose: No method docstring.

Parameters: – self: Instance reference

register_dependency (Line 148)
def register_dependency(self, package, version, constraint, dep_type, dependencies):
    """Register a dependency.

Args:
    package: Package name
    version: Version string
    constraint: Version constraint
    dep_type: Type of dependency
    dependencies: List of transitive dependencies

Returns:
    Status of registration"""

Purpose: Register a dependency.

Args: package: Package name version: Version string constraint: Version constraint dep_type: Type of dependency dependencies: List of transitive dependencies

Returns: Status of registration

Parameters: – self: Instance reference – package: Parameter for package – version: Parameter for version – constraint: Parameter for constraint – dep_type: Parameter for dep_type – dependencies: Parameter for dependencies

resolve_version (Line 216)
def resolve_version(self, package, constraint):
    """Resolve a version that satisfies the constraint.

Args:
    package: Package name
    constraint: Version constraint

Returns:
    Resolved version or error"""

Purpose: Resolve a version that satisfies the constraint.

Args: package: Package name constraint: Version constraint

Returns: Resolved version or error

Parameters: – self: Instance reference – package: Parameter for package – constraint: Parameter for constraint

detect_circular_dependencies (Line 263)
def detect_circular_dependencies(self):
    """Detect circular dependencies in the dependency graph.

Returns:
    List of circular dependency chains"""

Purpose: Detect circular dependencies in the dependency graph.

Returns: List of circular dependency chains

Parameters: – self: Instance reference

get_transitive_dependencies (Line 322)
def get_transitive_dependencies(self, package):
    """Get all transitive dependencies for a package.

Args:
    package: Package name

Returns:
    List of all transitive dependencies"""

Purpose: Get all transitive dependencies for a package.

Args: package: Package name

Returns: List of all transitive dependencies

Parameters: – self: Instance reference – package: Parameter for package

check_compatibility (Line 362)
def check_compatibility(self, package1, package2):
    """Check if two packages are compatible based on their dependencies.

Args:
    package1: First package
    package2: Second package

Returns:
    Compatibility analysis"""

Purpose: Check if two packages are compatible based on their dependencies.

Args: package1: First package package2: Second package

Returns: Compatibility analysis

Parameters: – self: Instance reference – package1: Parameter for package1 – package2: Parameter for package2

get_dependency_info (Line 412)
def get_dependency_info(self, package):
    """Get detailed information about a dependency."""

Purpose: Get detailed information about a dependency.

Parameters: – self: Instance reference – package: Parameter for package

list_dependencies (Line 432)
def list_dependencies(self, dep_type):
    """List all dependencies with optional type filter."""

Purpose: List all dependencies with optional type filter.

Parameters: – self: Instance reference – dep_type: Parameter for dep_type

get_conflicts (Line 455)
def get_conflicts(self):
    """Get all detected conflicts."""

Purpose: Get all detected conflicts.

Parameters: – self: Instance reference

get_statistics (Line 472)
def get_statistics(self):
    """Get dependency management statistics."""

Purpose: Get dependency management statistics.

Parameters: – self: Instance reference

DependencyManagementPattern (Line 484)

Description: Coordinator for dependency management.

Manages dependency resolution and compatibility.

Methods:

__init__ (Line 491)
def __init__(self):
    """No method docstring."""

Purpose: No method docstring.

Parameters: – self: Instance reference

register_dependency (Line 494)
def register_dependency(self, package, version):
    """Register dependency."""

Purpose: Register dependency.

Parameters: – self: Instance reference – package: Parameter for package – version: Parameter for version

resolve_version (Line 498)
def resolve_version(self, package, constraint):
    """Resolve version."""

Purpose: Resolve version.

Parameters: – self: Instance reference – package: Parameter for package – constraint: Parameter for constraint

detect_circular_dependencies (Line 502)
def detect_circular_dependencies(self):
    """Detect circular dependencies."""

Purpose: Detect circular dependencies.

Parameters: – self: Instance reference

get_transitive_dependencies (Line 506)
def get_transitive_dependencies(self, package):
    """Get transitive dependencies."""

Purpose: Get transitive dependencies.

Parameters: – self: Instance reference – package: Parameter for package

check_compatibility (Line 510)
def check_compatibility(self, package1, package2):
    """Check compatibility."""

Purpose: Check compatibility.

Parameters: – self: Instance reference – package1: Parameter for package1 – package2: Parameter for package2

get_dependency_info (Line 514)
def get_dependency_info(self, package):
    """Get dependency info."""

Purpose: Get dependency info.

Parameters: – self: Instance reference – package: Parameter for package

list_dependencies (Line 518)
def list_dependencies(self):
    """List dependencies."""

Purpose: List dependencies.

Parameters: – self: Instance reference

get_statistics (Line 522)
def get_statistics(self):
    """Get statistics."""

Purpose: Get statistics.

Parameters: – self: Instance reference

Design Patterns Used

  • Strategy Pattern: Different execution strategies for various scenarios
  • State Pattern: Managing different states in the workflow
  • Chain of Responsibility: Sequential processing through workflow nodes
  • Observer Pattern: Tracking and monitoring pattern execution
  • Factory Pattern: Creating instances with proper configuration

Usage Example

# Initialize the pattern
pattern = DependencyType(name="example", model_name="gpt-4")

# Configure and execute
result = pattern.execute(data={"key": "value"})

# Check results
print(result)

Key Concepts

  • LLM Integration: Uses LangChain/OpenAI for intelligent decision-making
  • Workflow Orchestration: LangGraph manages execution flow through nodes
  • State Management: TypedDict defines workflow state structure
  • Error Handling: Comprehensive error handling and fallback mechanisms
  • Extensibility: Designed for easy customization and extension

Extension Points

This pattern can be extended by: 1. Adding custom workflow nodes 2. Implementing additional validation logic 3. Integrating with external services 4. Customizing LLM prompts and responses 5. Adding monitoring and logging capabilities

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