src.intelligence.dependency_inferer module#

Dependency Inference Engine for Marcus Phase 2.

Smart dependency detection to prevent illogical task assignments like “Deploy to production” before development is complete.

class src.intelligence.dependency_inferer.DependencyPattern[source]#

Bases: object

Pattern for inferring dependencies.

name: str#

description: str#

condition_pattern: str#

dependency_pattern: str#

confidence: float#

mandatory: bool#

__init__(name, description, condition_pattern, dependency_pattern, confidence, mandatory)#

Parameters:

name (str)
description (str)
condition_pattern (str)
dependency_pattern (str)
confidence (float)
mandatory (bool)

Return type:

None

class src.intelligence.dependency_inferer.InferredDependency[source]#

Bases: object

Inferred dependency between tasks.

dependent_task_id: str#

dependency_task_id: str#

dependency_type: str#

confidence: float#

reasoning: str#

source: str = 'unknown'#

__init__(dependent_task_id, dependency_task_id, dependency_type, confidence, reasoning, source='unknown')#

Parameters:

dependent_task_id (str)
dependency_task_id (str)
dependency_type (str)
confidence (float)
reasoning (str)
source (str)

Return type:

None

class src.intelligence.dependency_inferer.DependencyGraph[source]#

Bases: object

Graph representation of task dependencies.

nodes: Dict[str, Task]#

edges: List[InferredDependency]#

adjacency_list: Dict[str, List[str]]#

reverse_adjacency: Dict[str, List[str]]#

has_cycle()[source]#

Check if the dependency graph has cycles.

Return type:: bool

get_critical_path()[source]#

Get the critical path (longest dependency chain).

Return type:: List[str]

__init__(nodes, edges, adjacency_list, reverse_adjacency)#

Parameters:

nodes (Dict[str, Task])
edges (List[InferredDependency])
adjacency_list (Dict[str, List[str]])
reverse_adjacency (Dict[str, List[str]])

Return type:

None

class src.intelligence.dependency_inferer.DependencyInferer[source]#

Bases: object

Infers dependencies between tasks to prevent illogical assignments.

__init__()[source]#

Return type:: None

async infer_dependencies(tasks)[source]#

Infer dependencies from task names and descriptions.

Parameters:: tasks (List[Task]) – List of tasks to analyze
Returns:: Dependency graph with inferred dependencies
Return type:: DependencyGraph

async validate_dependencies(graph)[source]#

Validate dependency graph for correctness.

Returns:: Validation results with any issues found
Return type:: Dict[str, Any]
Parameters:: graph (DependencyGraph)