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from datetime import datetime
import uuid
# -------------------------------------------------
# CONTEXT NORMALIZER
# -------------------------------------------------
def normalize_context(context):
"""
Accepts registry dict or legacy object input.
"""
if isinstance(context, dict):
return {
"strategy": context.get("strategy", {}),
"transcript": context.get("transcript", {}),
"platform": context.get("platform", "tiktok"),
"video_path": context.get("video_path")
}
return {
"strategy": getattr(context, "strategy", {}),
"transcript": getattr(context, "transcript", {}),
"platform": getattr(context, "platform", "tiktok"),
"video_path": getattr(context, "video_path", None)
}
# -------------------------------------------------
# SAFE TEXT EXTRACTOR
# -------------------------------------------------
def extract_text(transcript):
"""
Extracts usable text from transcript structure safely.
"""
if isinstance(transcript, dict):
segments = transcript.get("segments", [])
if segments:
return " ".join([s.get("text", "") for s in segments])
if isinstance(transcript, str):
return transcript
return ""
# -------------------------------------------------
# METADATA GENERATOR CORE
# -------------------------------------------------
def build_metadata(text, strategy, platform):
"""
Deterministic metadata generator (no external API required).
"""
hook = ""
if isinstance(strategy, dict):
hook = strategy.get("hook", "")
if not hook:
hook = text[:120] + "..." if text else "Discover powerful insights in this video."
title = hook[:70].strip()
description = (
f"{hook}\n\n"
f"Watch till the end for key insights.\n"
f"Optimized for {platform}."
)
tags = [
"content",
"viral",
"shorts",
platform,
"ai generated",
"social media"
]
hashtags = [
"#ViralContent",
"#ContentCreator",
"#Shorts",
f"#{platform.capitalize()}",
"#AIContent"
]
return {
"title": title,
"description": description,
"tags": tags,
"hashtags": hashtags
}
# -------------------------------------------------
# OPTIONAL LLM ENHANCEMENT (SAFE WRAPPER)
# -------------------------------------------------
async def enhance_with_llm(base_metadata, context):
"""
Optional enhancement layer.
Never breaks pipeline if API missing.
"""
try:
import os
if not os.getenv("GEMINI_API_KEY"):
return base_metadata
# Lazy import to avoid startup crashes
import google.generativeai as genai
genai.configure(api_key=os.environ["GEMINI_API_KEY"])
model = genai.GenerativeModel("gemini-1.5-flash")
prompt = f"""
Improve this social media metadata for virality:
TITLE: {base_metadata['title']}
DESCRIPTION: {base_metadata['description']}
TAGS: {base_metadata['tags']}
HASHTAGS: {base_metadata['hashtags']}
Return STRICT JSON with:
title, description, tags, hashtags
"""
response = await model.generate_content_async(prompt)
import json
cleaned = response.text.strip().replace("```json", "").replace("```", "")
data = json.loads(cleaned)
return data
except Exception:
return base_metadata
# -------------------------------------------------
# MAIN TASK ENTRYPOINT
# -------------------------------------------------
async def run(context):
ctx = normalize_context(context)
batch_id = str(uuid.uuid4())
started_at = datetime.utcnow().isoformat()
try:
strategy = ctx["strategy"]
transcript = ctx["transcript"]
platform = ctx["platform"]
text = extract_text(transcript)
# -------------------------------------------------
# BASE METADATA
# -------------------------------------------------
base_metadata = build_metadata(text, strategy, platform)
# -------------------------------------------------
# OPTIONAL ENHANCEMENT
# -------------------------------------------------
final_metadata = await enhance_with_llm(base_metadata, ctx)
# -------------------------------------------------
# RESPONSE
# -------------------------------------------------
return {
"status": "success",
"task": "generate-metadata",
"batch_id": batch_id,
"started_at": started_at,
"completed_at": datetime.utcnow().isoformat(),
"platform": platform,
"metadata": final_metadata
}
except Exception as e:
return {
"status": "error",
"task": "generate-metadata",
"batch_id": batch_id,
"message": str(e),
"stage": "metadata_generation_failed"
} |