ALwrity version 0.5.6
This commit is contained in:
ajaysi
@@ -0,0 +1,514 @@
|
||||
"""
|
||||
Data Source Evolution Manager for Calendar Generation Framework
|
||||
|
||||
Manages the evolution of data sources without architectural changes,
|
||||
providing version management, enhancement planning, and evolution tracking.
|
||||
"""
|
||||
|
||||
import logging
|
||||
from typing import Dict, Any, List, Optional
|
||||
from datetime import datetime
|
||||
|
||||
from .registry import DataSourceRegistry
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class DataSourceEvolutionManager:
|
||||
"""
|
||||
Manages the evolution of data sources without architectural changes.
|
||||
|
||||
Provides comprehensive evolution management including version tracking,
|
||||
enhancement planning, implementation steps, and evolution monitoring.
|
||||
"""
|
||||
|
||||
def __init__(self, registry: DataSourceRegistry):
|
||||
"""
|
||||
Initialize the data source evolution manager.
|
||||
|
||||
Args:
|
||||
registry: Data source registry to manage
|
||||
"""
|
||||
self.registry = registry
|
||||
self.evolution_configs = self._load_evolution_configs()
|
||||
self.evolution_history = {}
|
||||
|
||||
logger.info("Initialized DataSourceEvolutionManager")
|
||||
|
||||
def _load_evolution_configs(self) -> Dict[str, Dict[str, Any]]:
|
||||
"""
|
||||
Load evolution configurations for data sources.
|
||||
|
||||
Returns:
|
||||
Dictionary of evolution configurations
|
||||
"""
|
||||
return {
|
||||
"content_strategy": {
|
||||
"current_version": "2.0.0",
|
||||
"target_version": "2.5.0",
|
||||
"enhancement_plan": [
|
||||
"AI-powered strategy optimization",
|
||||
"Real-time strategy adaptation",
|
||||
"Advanced audience segmentation",
|
||||
"Predictive strategy recommendations"
|
||||
],
|
||||
"implementation_steps": [
|
||||
"Implement AI strategy optimization algorithms",
|
||||
"Add real-time strategy adaptation capabilities",
|
||||
"Enhance audience segmentation with ML",
|
||||
"Integrate predictive analytics for strategy recommendations"
|
||||
],
|
||||
"priority": "high",
|
||||
"estimated_effort": "medium"
|
||||
},
|
||||
"gap_analysis": {
|
||||
"current_version": "1.5.0",
|
||||
"target_version": "2.0.0",
|
||||
"enhancement_plan": [
|
||||
"AI-powered gap identification",
|
||||
"Competitor analysis integration",
|
||||
"Market trend analysis",
|
||||
"Content opportunity scoring"
|
||||
],
|
||||
"implementation_steps": [
|
||||
"Enhance data collection methods",
|
||||
"Add AI analysis capabilities",
|
||||
"Integrate competitor data sources",
|
||||
"Implement opportunity scoring algorithms"
|
||||
],
|
||||
"priority": "high",
|
||||
"estimated_effort": "medium"
|
||||
},
|
||||
"keywords": {
|
||||
"current_version": "1.5.0",
|
||||
"target_version": "2.0.0",
|
||||
"enhancement_plan": [
|
||||
"Dynamic keyword research",
|
||||
"Trending keywords integration",
|
||||
"Competitor keyword analysis",
|
||||
"Keyword difficulty scoring"
|
||||
],
|
||||
"implementation_steps": [
|
||||
"Add dynamic research capabilities",
|
||||
"Integrate trending data sources",
|
||||
"Implement competitor analysis",
|
||||
"Add difficulty scoring algorithms"
|
||||
],
|
||||
"priority": "medium",
|
||||
"estimated_effort": "medium"
|
||||
},
|
||||
"content_pillars": {
|
||||
"current_version": "1.5.0",
|
||||
"target_version": "2.0.0",
|
||||
"enhancement_plan": [
|
||||
"AI-generated dynamic pillars",
|
||||
"Market-based pillar optimization",
|
||||
"Performance-based pillar adjustment",
|
||||
"Audience preference integration"
|
||||
],
|
||||
"implementation_steps": [
|
||||
"Implement AI pillar generation",
|
||||
"Add market analysis integration",
|
||||
"Create performance tracking",
|
||||
"Integrate audience feedback"
|
||||
],
|
||||
"priority": "medium",
|
||||
"estimated_effort": "medium"
|
||||
},
|
||||
"performance_data": {
|
||||
"current_version": "1.0.0",
|
||||
"target_version": "1.5.0",
|
||||
"enhancement_plan": [
|
||||
"Real-time performance tracking",
|
||||
"Conversion rate analysis",
|
||||
"Engagement metrics integration",
|
||||
"ROI calculation and optimization"
|
||||
],
|
||||
"implementation_steps": [
|
||||
"Build performance tracking system",
|
||||
"Implement conversion tracking",
|
||||
"Add engagement analytics",
|
||||
"Create ROI optimization algorithms"
|
||||
],
|
||||
"priority": "high",
|
||||
"estimated_effort": "high"
|
||||
},
|
||||
"ai_analysis": {
|
||||
"current_version": "2.0.0",
|
||||
"target_version": "2.5.0",
|
||||
"enhancement_plan": [
|
||||
"Advanced predictive analytics",
|
||||
"Real-time market intelligence",
|
||||
"Automated competitive analysis",
|
||||
"Strategic recommendation engine"
|
||||
],
|
||||
"implementation_steps": [
|
||||
"Enhance predictive analytics capabilities",
|
||||
"Add real-time market data integration",
|
||||
"Implement automated competitive analysis",
|
||||
"Build strategic recommendation engine"
|
||||
],
|
||||
"priority": "high",
|
||||
"estimated_effort": "high"
|
||||
}
|
||||
}
|
||||
|
||||
async def evolve_data_source(self, source_id: str, target_version: str) -> bool:
|
||||
"""
|
||||
Evolve a data source to a target version.
|
||||
|
||||
Args:
|
||||
source_id: ID of the source to evolve
|
||||
target_version: Target version to evolve to
|
||||
|
||||
Returns:
|
||||
True if evolution successful, False otherwise
|
||||
"""
|
||||
source = self.registry.get_source(source_id)
|
||||
if not source:
|
||||
logger.error(f"Data source not found for evolution: {source_id}")
|
||||
return False
|
||||
|
||||
config = self.evolution_configs.get(source_id)
|
||||
if not config:
|
||||
logger.error(f"Evolution config not found for: {source_id}")
|
||||
return False
|
||||
|
||||
try:
|
||||
logger.info(f"Starting evolution of {source_id} to version {target_version}")
|
||||
|
||||
# Record evolution start
|
||||
evolution_record = {
|
||||
"source_id": source_id,
|
||||
"from_version": source.version,
|
||||
"to_version": target_version,
|
||||
"started_at": datetime.utcnow().isoformat(),
|
||||
"status": "in_progress",
|
||||
"steps_completed": [],
|
||||
"steps_failed": []
|
||||
}
|
||||
|
||||
# Implement evolution steps
|
||||
implementation_steps = config.get("implementation_steps", [])
|
||||
for step in implementation_steps:
|
||||
try:
|
||||
await self._implement_evolution_step(source_id, step)
|
||||
evolution_record["steps_completed"].append(step)
|
||||
logger.info(f"Completed evolution step for {source_id}: {step}")
|
||||
except Exception as e:
|
||||
evolution_record["steps_failed"].append({"step": step, "error": str(e)})
|
||||
logger.error(f"Failed evolution step for {source_id}: {step} - {e}")
|
||||
|
||||
# Update source version
|
||||
source.version = target_version
|
||||
|
||||
# Record evolution completion
|
||||
evolution_record["completed_at"] = datetime.utcnow().isoformat()
|
||||
evolution_record["status"] = "completed" if not evolution_record["steps_failed"] else "partial"
|
||||
|
||||
# Store evolution history
|
||||
if source_id not in self.evolution_history:
|
||||
self.evolution_history[source_id] = []
|
||||
self.evolution_history[source_id].append(evolution_record)
|
||||
|
||||
logger.info(f"✅ Successfully evolved {source_id} to version {target_version}")
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error evolving data source {source_id}: {e}")
|
||||
return False
|
||||
|
||||
async def _implement_evolution_step(self, source_id: str, step: str):
|
||||
"""
|
||||
Implement a specific evolution step.
|
||||
|
||||
Args:
|
||||
source_id: ID of the source
|
||||
step: Step to implement
|
||||
|
||||
Raises:
|
||||
Exception: If step implementation fails
|
||||
"""
|
||||
# This is a simplified implementation
|
||||
# In a real implementation, this would contain actual evolution logic
|
||||
|
||||
logger.info(f"Implementing evolution step for {source_id}: {step}")
|
||||
|
||||
# Simulate step implementation
|
||||
# In reality, this would contain actual code to enhance the data source
|
||||
await self._simulate_evolution_step(source_id, step)
|
||||
|
||||
async def _simulate_evolution_step(self, source_id: str, step: str):
|
||||
"""
|
||||
Simulate evolution step implementation.
|
||||
|
||||
Args:
|
||||
source_id: ID of the source
|
||||
step: Step to simulate
|
||||
|
||||
Raises:
|
||||
Exception: If simulation fails
|
||||
"""
|
||||
# Simulate processing time
|
||||
import asyncio
|
||||
await asyncio.sleep(0.1)
|
||||
|
||||
# Simulate potential failure (10% chance)
|
||||
import random
|
||||
if random.random() < 0.1:
|
||||
raise Exception(f"Simulated failure in evolution step: {step}")
|
||||
|
||||
def get_evolution_status(self) -> Dict[str, Dict[str, Any]]:
|
||||
"""
|
||||
Get evolution status for all data sources.
|
||||
|
||||
Returns:
|
||||
Dictionary containing evolution status for all sources
|
||||
"""
|
||||
status = {}
|
||||
|
||||
for source_id, config in self.evolution_configs.items():
|
||||
source = self.registry.get_source(source_id)
|
||||
evolution_history = self.evolution_history.get(source_id, [])
|
||||
|
||||
status[source_id] = {
|
||||
"current_version": getattr(source, 'version', '1.0.0') if source else config["current_version"],
|
||||
"target_version": config["target_version"],
|
||||
"enhancement_plan": config["enhancement_plan"],
|
||||
"implementation_steps": config["implementation_steps"],
|
||||
"priority": config.get("priority", "medium"),
|
||||
"estimated_effort": config.get("estimated_effort", "medium"),
|
||||
"is_active": source.is_active if source else False,
|
||||
"evolution_history": evolution_history,
|
||||
"last_evolution": evolution_history[-1] if evolution_history else None,
|
||||
"evolution_status": self._get_evolution_status_for_source(source_id, config, source)
|
||||
}
|
||||
|
||||
return status
|
||||
|
||||
def _get_evolution_status_for_source(self, source_id: str, config: Dict[str, Any], source) -> str:
|
||||
"""
|
||||
Get evolution status for a specific source.
|
||||
|
||||
Args:
|
||||
source_id: ID of the source
|
||||
config: Evolution configuration
|
||||
source: Data source object
|
||||
|
||||
Returns:
|
||||
Evolution status string
|
||||
"""
|
||||
if not source:
|
||||
return "not_registered"
|
||||
|
||||
current_version = getattr(source, 'version', config["current_version"])
|
||||
target_version = config["target_version"]
|
||||
|
||||
if current_version == target_version:
|
||||
return "up_to_date"
|
||||
elif current_version < target_version:
|
||||
return "needs_evolution"
|
||||
else:
|
||||
return "ahead_of_target"
|
||||
|
||||
def get_evolution_plan(self, source_id: str) -> Dict[str, Any]:
|
||||
"""
|
||||
Get evolution plan for a specific source.
|
||||
|
||||
Args:
|
||||
source_id: ID of the source
|
||||
|
||||
Returns:
|
||||
Evolution plan dictionary
|
||||
"""
|
||||
config = self.evolution_configs.get(source_id, {})
|
||||
source = self.registry.get_source(source_id)
|
||||
|
||||
plan = {
|
||||
"source_id": source_id,
|
||||
"current_version": getattr(source, 'version', '1.0.0') if source else config.get("current_version", "1.0.0"),
|
||||
"target_version": config.get("target_version", "1.0.0"),
|
||||
"enhancement_plan": config.get("enhancement_plan", []),
|
||||
"implementation_steps": config.get("implementation_steps", []),
|
||||
"priority": config.get("priority", "medium"),
|
||||
"estimated_effort": config.get("estimated_effort", "medium"),
|
||||
"is_ready_for_evolution": self._is_ready_for_evolution(source_id),
|
||||
"dependencies": self._get_evolution_dependencies(source_id)
|
||||
}
|
||||
|
||||
return plan
|
||||
|
||||
def _is_ready_for_evolution(self, source_id: str) -> bool:
|
||||
"""
|
||||
Check if a source is ready for evolution.
|
||||
|
||||
Args:
|
||||
source_id: ID of the source
|
||||
|
||||
Returns:
|
||||
True if ready for evolution, False otherwise
|
||||
"""
|
||||
source = self.registry.get_source(source_id)
|
||||
if not source:
|
||||
return False
|
||||
|
||||
# Check if source is active
|
||||
if not source.is_active:
|
||||
return False
|
||||
|
||||
# Check if evolution is needed
|
||||
config = self.evolution_configs.get(source_id, {})
|
||||
current_version = getattr(source, 'version', config.get("current_version", "1.0.0"))
|
||||
target_version = config.get("target_version", "1.0.0")
|
||||
|
||||
return current_version < target_version
|
||||
|
||||
def _get_evolution_dependencies(self, source_id: str) -> List[str]:
|
||||
"""
|
||||
Get evolution dependencies for a source.
|
||||
|
||||
Args:
|
||||
source_id: ID of the source
|
||||
|
||||
Returns:
|
||||
List of dependency source IDs
|
||||
"""
|
||||
# Simplified dependency mapping
|
||||
# In a real implementation, this would be more sophisticated
|
||||
dependencies = {
|
||||
"gap_analysis": ["content_strategy"],
|
||||
"keywords": ["content_strategy", "gap_analysis"],
|
||||
"content_pillars": ["content_strategy", "gap_analysis"],
|
||||
"performance_data": ["content_strategy", "gap_analysis"],
|
||||
"ai_analysis": ["content_strategy", "gap_analysis", "keywords"]
|
||||
}
|
||||
|
||||
return dependencies.get(source_id, [])
|
||||
|
||||
def add_evolution_config(self, source_id: str, config: Dict[str, Any]) -> bool:
|
||||
"""
|
||||
Add evolution configuration for a data source.
|
||||
|
||||
Args:
|
||||
source_id: ID of the source
|
||||
config: Evolution configuration
|
||||
|
||||
Returns:
|
||||
True if added successfully, False otherwise
|
||||
"""
|
||||
try:
|
||||
if source_id in self.evolution_configs:
|
||||
logger.warning(f"Evolution config already exists for: {source_id}")
|
||||
return False
|
||||
|
||||
# Validate required fields
|
||||
required_fields = ["current_version", "target_version", "enhancement_plan", "implementation_steps"]
|
||||
for field in required_fields:
|
||||
if field not in config:
|
||||
logger.error(f"Missing required field for evolution config {source_id}: {field}")
|
||||
return False
|
||||
|
||||
self.evolution_configs[source_id] = config
|
||||
logger.info(f"Added evolution config for: {source_id}")
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error adding evolution config for {source_id}: {e}")
|
||||
return False
|
||||
|
||||
def update_evolution_config(self, source_id: str, config: Dict[str, Any]) -> bool:
|
||||
"""
|
||||
Update evolution configuration for a data source.
|
||||
|
||||
Args:
|
||||
source_id: ID of the source
|
||||
config: Updated evolution configuration
|
||||
|
||||
Returns:
|
||||
True if updated successfully, False otherwise
|
||||
"""
|
||||
try:
|
||||
if source_id not in self.evolution_configs:
|
||||
logger.error(f"Evolution config not found for: {source_id}")
|
||||
return False
|
||||
|
||||
# Update configuration
|
||||
self.evolution_configs[source_id].update(config)
|
||||
logger.info(f"Updated evolution config for: {source_id}")
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error updating evolution config for {source_id}: {e}")
|
||||
return False
|
||||
|
||||
def get_evolution_summary(self) -> Dict[str, Any]:
|
||||
"""
|
||||
Get comprehensive evolution summary.
|
||||
|
||||
Returns:
|
||||
Evolution summary dictionary
|
||||
"""
|
||||
summary = {
|
||||
"total_sources": len(self.evolution_configs),
|
||||
"sources_needing_evolution": 0,
|
||||
"sources_up_to_date": 0,
|
||||
"evolution_priority": {
|
||||
"high": 0,
|
||||
"medium": 0,
|
||||
"low": 0
|
||||
},
|
||||
"evolution_effort": {
|
||||
"high": 0,
|
||||
"medium": 0,
|
||||
"low": 0
|
||||
},
|
||||
"recent_evolutions": [],
|
||||
"evolution_recommendations": []
|
||||
}
|
||||
|
||||
for source_id, config in self.evolution_configs.items():
|
||||
source = self.registry.get_source(source_id)
|
||||
if source:
|
||||
status = self._get_evolution_status_for_source(source_id, config, source)
|
||||
if status == "needs_evolution":
|
||||
summary["sources_needing_evolution"] += 1
|
||||
elif status == "up_to_date":
|
||||
summary["sources_up_to_date"] += 1
|
||||
|
||||
# Count priorities and efforts
|
||||
priority = config.get("priority", "medium")
|
||||
effort = config.get("estimated_effort", "medium")
|
||||
summary["evolution_priority"][priority] += 1
|
||||
summary["evolution_effort"][effort] += 1
|
||||
|
||||
# Get recent evolutions
|
||||
for source_id, history in self.evolution_history.items():
|
||||
if history:
|
||||
latest = history[-1]
|
||||
if latest.get("status") == "completed":
|
||||
summary["recent_evolutions"].append({
|
||||
"source_id": source_id,
|
||||
"from_version": latest.get("from_version"),
|
||||
"to_version": latest.get("to_version"),
|
||||
"completed_at": latest.get("completed_at")
|
||||
})
|
||||
|
||||
# Generate recommendations
|
||||
for source_id, config in self.evolution_configs.items():
|
||||
if self._is_ready_for_evolution(source_id):
|
||||
summary["evolution_recommendations"].append({
|
||||
"source_id": source_id,
|
||||
"priority": config.get("priority", "medium"),
|
||||
"effort": config.get("estimated_effort", "medium"),
|
||||
"target_version": config.get("target_version")
|
||||
})
|
||||
|
||||
return summary
|
||||
|
||||
def __str__(self) -> str:
|
||||
"""String representation of the evolution manager."""
|
||||
return f"DataSourceEvolutionManager(sources={len(self.evolution_configs)}, registry={self.registry})"
|
||||
|
||||
def __repr__(self) -> str:
|
||||
"""Detailed string representation of the evolution manager."""
|
||||
return f"DataSourceEvolutionManager(configs={list(self.evolution_configs.keys())}, history={list(self.evolution_history.keys())})"
|
||||
Reference in New Issue
Block a user