src.learning.pattern_learner module#

Pattern Learner for Marcus Phase 2.

Learns patterns from completed projects to improve future recommendations.

class src.learning.pattern_learner.CompletedProject[source]#

Bases: object

Data from a completed project.

project_id: str#

name: str#

tasks: List[Task]#

completion_date: datetime#

success_metrics: Dict[str, Any]#

team_size: int#

duration_days: int#

project_type: str#

__init__(project_id, name, tasks, completion_date, success_metrics, team_size, duration_days, project_type)#

Parameters:

project_id (str)
name (str)
tasks (List[Task])
completion_date (datetime)
success_metrics (Dict[str, Any])
team_size (int)
duration_days (int)
project_type (str)

Return type:

None

class src.learning.pattern_learner.ProjectLearnings[source]#

Bases: object

Extracted learnings from a project.

estimation_accuracy: Dict[str, float]#

dependency_patterns: List[Dict[str, Any]]#

workflow_patterns: Dict[str, Any]#

success_factors: List[str]#

failure_points: List[str]#

team_performance: Dict[str, Any]#

__init__(estimation_accuracy, dependency_patterns, workflow_patterns, success_factors, failure_points, team_performance)#

Parameters:

estimation_accuracy (Dict[str, float])
dependency_patterns (List[Dict[str, Any]])
workflow_patterns (Dict[str, Any])
success_factors (List[str])
failure_points (List[str])
team_performance (Dict[str, Any])

Return type:

None

class src.learning.pattern_learner.Pattern[source]#

Bases: object

A learned pattern.

pattern_id: str#

pattern_type: str#

description: str#

conditions: Dict[str, Any]#

recommendations: Dict[str, Any]#

confidence: float#

evidence_count: int#

last_updated: datetime#

__init__(pattern_id, pattern_type, description, conditions, recommendations, confidence, evidence_count, last_updated)#

Parameters:

pattern_id (str)
pattern_type (str)
description (str)
conditions (Dict[str, Any])
recommendations (Dict[str, Any])
confidence (float)
evidence_count (int)
last_updated (datetime)

Return type:

None

class src.learning.pattern_learner.PatternLearner[source]#

Bases: object

Learns patterns from completed projects.

__init__()[source]#

Return type:: None

patterns: Dict[str, Pattern]#

project_history: List[CompletedProject]#

async learn_from_project(project)[source]#

Extract learnings from a completed project.

Parameters:: project (CompletedProject) – Completed project data
Return type:: None

async update_patterns(learnings)[source]#

Update pattern library based on new learnings.

Parameters:: learnings (ProjectLearnings) – Extracted learnings from a project
Return type:: None

async calculate_confidence(pattern)[source]#

Calculate pattern confidence based on evidence.

Parameters:: pattern (Pattern) – Pattern to calculate confidence for
Returns:: Confidence score between 0 and 1
Return type:: float

async get_patterns_for_context(context)[source]#

Get patterns relevant to a specific context.

Parameters:: context (Dict[str, Any]) – Context information (project type, team size, etc.)
Returns:: List of relevant patterns
Return type:: List[Pattern]

async export_patterns()[source]#

Export patterns for persistence.

Return type:: Dict[str, Any]

async import_patterns(pattern_data)[source]#

Import patterns from persistence.

Return type:: None
Parameters:: pattern_data (Dict[str, Any])