Video Content Analytics Pipeline

from mixpeek import Mixpeek

client = Mixpeek(api_key="YOUR_API_KEY")

namespace = client.namespaces.create(name="video-analytics")
collection = client.collections.create(
    namespace_id=namespace.id,
    name="marketing-videos",
    extractors=[
        "scene-detection",
        "audio-transcription",
        "sentiment-analysis",
        "topic-classification"
    ]
)

# Upload videos for analysis
client.buckets.upload(
    collection_id=collection.id,
    url="s3://your-bucket/campaign-videos/"
)

# Aggregate analytics across all videos
docs = client.documents.search(
    namespace_id=namespace.id,
    collection_ids=[collection.id],
    page_size=100
)

# Analyze sentiment distribution
sentiments = [d.metadata.get("sentiment") for d in docs]