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ALwrity version 0.5.5

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ajaysi
2025-08-15 23:02:18 +05:30
parent 6bfa9f0fce
commit 234eefb4bc
27 changed files with 2806 additions and 1417 deletions
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55
backend/api/content_planning/services/content_strategy/ai_generation/strategy_generator.py
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@@ -592,9 +592,11 @@ class AIStrategyGenerator:
raise RuntimeError("AI service returned empty implementation roadmap")
logger.info("✅ Implementation roadmap generated successfully")
logger.info(f"🔍 Raw AI response for implementation roadmap: {json.dumps(response.get('data', {}), indent=2)}")
# Transform AI response to frontend format
transformed_response = self._transform_ai_response_to_frontend_format(response.get("data", {}), "implementation_roadmap")
logger.info(f"🔍 Transformed implementation roadmap: {json.dumps(transformed_response, indent=2)}")
return transformed_response
except Exception as e:
@@ -1019,6 +1021,8 @@ class AIStrategyGenerator:
def _transform_implementation_roadmap(self, ai_response: Dict[str, Any]) -> Dict[str, Any]:
"""Transform implementation roadmap to frontend format."""
self.logger.info(f"🔍 Transforming implementation roadmap. Input: {json.dumps(ai_response, indent=2)}")
transformed = {
"phases": [],
"timeline": "12 months",
@@ -1028,16 +1032,49 @@ class AIStrategyGenerator:
"success_metrics": []
}
# Extract roadmap data from AI response
roadmap = ai_response.get("roadmap", {})
if roadmap:
if "phases" in roadmap:
transformed["phases"] = roadmap["phases"][:4] # Limit to 4 phases
if "timeline" in roadmap:
transformed["timeline"] = roadmap["timeline"]
if "milestones" in roadmap:
transformed["milestones"] = roadmap["milestones"][:6] # Limit to 6 milestones
# Extract roadmap data from AI response - data is at top level, not nested under "roadmap"
if ai_response:
# Extract phases
phases = ai_response.get("phases", [])
if phases:
transformed["phases"] = phases[:4] # Limit to 4 phases
# Extract timeline
timeline = ai_response.get("timeline", {})
if timeline:
if isinstance(timeline, dict):
# If timeline is an object, extract the duration or use total_duration
transformed["timeline"] = timeline.get("total_duration", "12 months")
# Extract milestones from timeline object
milestones = timeline.get("key_milestones", [])
if milestones:
transformed["milestones"] = milestones[:6]
# Extract critical path from timeline object
critical_path = timeline.get("critical_path", [])
if critical_path:
transformed["critical_path"] = critical_path[:5]
else:
# If timeline is a string, use it directly
transformed["timeline"] = str(timeline)
# Extract total_duration if available
total_duration = ai_response.get("total_duration")
if total_duration:
transformed["timeline"] = str(total_duration)
# Extract resource allocation
resource_allocation = ai_response.get("resource_allocation", {})
if resource_allocation:
team_requirements = resource_allocation.get("team_requirements", [])
if team_requirements:
transformed["resource_requirements"] = team_requirements[:5]
# Extract success metrics
success_metrics = ai_response.get("success_metrics", [])
if success_metrics:
transformed["success_metrics"] = success_metrics[:5]
self.logger.info(f"🔍 Final transformed implementation roadmap: {json.dumps(transformed, indent=2)}")
return transformed
def _transform_risk_assessment(self, ai_response: Dict[str, Any]) -> Dict[str, Any]: