Merge_PR_416_fix_textgen_ai_models_mapping

This commit is contained in:
ajaysi
2026-03-12 16:05:47 +05:30
5 changed files with 509 additions and 81 deletions

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@@ -10,6 +10,20 @@ from services.database import get_session_for_user
from api.content_planning.services.content_strategy.onboarding import OnboardingDataIntegrationService
def _ensure_dict(value: Any) -> Dict[str, Any]:
"""Safely coerce arbitrary payload shape into a dictionary."""
return value if isinstance(value, dict) else {}
def _ensure_list(value: Any) -> List[Any]:
"""Safely coerce arbitrary payload shape into a list."""
if isinstance(value, list):
return value
if value is None:
return []
return [value]
class PersonalizationService:
"""
Service for extracting user preferences from onboarding data
@@ -52,6 +66,7 @@ class PersonalizationService:
return self._get_default_preferences()
integration_service = OnboardingDataIntegrationService()
<<<<<<< HEAD
integrated_data = integration_service.get_integrated_data_sync(user_id, db)
if not isinstance(integrated_data, dict):
logger.warning(
@@ -65,15 +80,28 @@ class PersonalizationService:
f"[Personalization] Canonical profile is non-dict for user {user_id}; using defaults"
)
canonical_profile = {}
=======
integrated_data_raw = integration_service.get_integrated_data_sync(user_id, db)
integrated_data = _ensure_dict(integrated_data_raw)
canonical_profile = _ensure_dict(integrated_data.get('canonical_profile'))
>>>>>>> pr-416
# Map strictly from Canonical Profile
preferences = {
"industry": canonical_profile.get("industry"),
<<<<<<< HEAD
"target_audience": self._as_dict(canonical_profile.get("target_audience", {})),
"platform_preferences": self._as_list(canonical_profile.get("platform_preferences", [])),
"content_preferences": self._as_list(canonical_profile.get("content_types", [])),
"style_preferences": self._as_dict(canonical_profile.get("visual_style", {})),
"brand_colors": self._as_list(canonical_profile.get("brand_colors", [])),
=======
"target_audience": _ensure_dict(canonical_profile.get("target_audience")),
"platform_preferences": _ensure_list(canonical_profile.get("platform_preferences")),
"content_preferences": _ensure_list(canonical_profile.get("content_types")),
"style_preferences": _ensure_dict(canonical_profile.get("visual_style")),
"brand_colors": _ensure_list(canonical_profile.get("brand_colors")),
>>>>>>> pr-416
"recommended_templates": [],
"recommended_channels": [],
"writing_style": {
@@ -82,7 +110,11 @@ class PersonalizationService:
"complexity": canonical_profile.get("writing_complexity", "intermediate"),
"engagement_level": canonical_profile.get("writing_engagement", "moderate"),
},
<<<<<<< HEAD
"brand_values": self._as_list(canonical_profile.get("brand_values", [])),
=======
"brand_values": _ensure_list(canonical_profile.get("brand_values")),
>>>>>>> pr-416
}
# Ensure target_audience structure
@@ -118,7 +150,7 @@ class PersonalizationService:
if not preferences["recommended_channels"]:
preferences["recommended_channels"] = self._get_recommended_channels(
preferences.get("industry"),
preferences.get("target_audience", {}).get("demographics", [])
_ensure_list(_ensure_dict(preferences.get("target_audience")).get("demographics"))
)
logger.info(f"[Personalization] Extracted preferences for user {user_id}: industry={preferences.get('industry')}")