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Release Candidate: Production Release with Multi-Tenant & Onboarding Enhancements

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ajaysi
2026-02-28 20:06:26 +05:30
parent 08a1f4a1d8
commit 4828274cbf
162 changed files with 19489 additions and 4300 deletions
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86
backend/services/youtube/scene_builder.py
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@@ -132,7 +132,19 @@ class YouTubeSceneBuilderService:
) -> List[Dict[str, Any]]:
"""Generate scenes from video plan using AI."""
content_outline = video_plan.get("content_outline", [])
raw_content_outline = video_plan.get("content_outline", [])
content_outline: List[Dict[str, Any]] = []
for item in raw_content_outline:
if isinstance(item, dict):
content_outline.append(item)
else:
content_outline.append(
{
"section": str(item),
"description": "",
"duration_estimate": 0,
}
)
hook_strategy = video_plan.get("hook_strategy", "")
call_to_action = video_plan.get("call_to_action", "")
visual_style = video_plan.get("visual_style", "cinematic")
@@ -263,16 +275,32 @@ Write narration that:
# Normalize scene data
normalized_scenes = []
for idx, scene in enumerate(scenes, 1):
normalized_scenes.append({
"scene_number": scene.get("scene_number", idx),
"title": scene.get("title", f"Scene {idx}"),
"narration": scene.get("narration", ""),
"visual_description": scene.get("visual_description", ""),
"duration_estimate": scene.get("duration_estimate", scene_duration_range[0]),
"emphasis": scene.get("emphasis", "main_content"),
"visual_cues": scene.get("visual_cues", []),
"visual_prompt": scene.get("visual_description", ""), # Initial prompt
})
if isinstance(scene, dict):
scene_data = scene
else:
scene_data = {
"scene_number": idx,
"title": f"Scene {idx}",
"narration": str(scene),
"visual_description": "",
"duration_estimate": scene_duration_range[0],
"emphasis": "main_content",
"visual_cues": [],
}
normalized_scenes.append(
{
"scene_number": scene_data.get("scene_number", idx),
"title": scene_data.get("title", f"Scene {idx}"),
"narration": scene_data.get("narration", ""),
"visual_description": scene_data.get("visual_description", ""),
"duration_estimate": scene_data.get(
"duration_estimate", scene_duration_range[0]
),
"emphasis": scene_data.get("emphasis", "main_content"),
"visual_cues": scene_data.get("visual_cues", []),
"visual_prompt": scene_data.get("visual_description", ""),
}
)
return normalized_scenes
@@ -287,16 +315,32 @@ Write narration that:
normalized_scenes = []
for idx, scene in enumerate(scenes, 1):
normalized_scenes.append({
"scene_number": scene.get("scene_number", idx),
"title": scene.get("title", f"Scene {idx}"),
"narration": scene.get("narration", ""),
"visual_description": scene.get("visual_description", ""),
"duration_estimate": scene.get("duration_estimate", scene_duration_range[0]),
"emphasis": scene.get("emphasis", "main_content"),
"visual_cues": scene.get("visual_cues", []),
"visual_prompt": scene.get("visual_description", ""), # Initial prompt
})
if isinstance(scene, dict):
scene_data = scene
else:
scene_data = {
"scene_number": idx,
"title": f"Scene {idx}",
"narration": str(scene),
"visual_description": "",
"duration_estimate": scene_duration_range[0],
"emphasis": "main_content",
"visual_cues": [],
}
normalized_scenes.append(
{
"scene_number": scene_data.get("scene_number", idx),
"title": scene_data.get("title", f"Scene {idx}"),
"narration": scene_data.get("narration", ""),
"visual_description": scene_data.get("visual_description", ""),
"duration_estimate": scene_data.get(
"duration_estimate", scene_duration_range[0]
),
"emphasis": scene_data.get("emphasis", "main_content"),
"visual_cues": scene_data.get("visual_cues", []),
"visual_prompt": scene_data.get("visual_description", ""),
}
)
logger.info(
f"[YouTubeSceneBuilder] ✅ Normalized {len(normalized_scenes)} scenes "