58 lines
1.6 KiB
Python
58 lines
1.6 KiB
Python
"""
|
|
Direct Video Analysis Strategy (Placeholder)
|
|
|
|
Workflow:
|
|
1. Split long video into 5-minute segments (FFmpeg)
|
|
2. Upload each segment to Gemini 1.5 Pro
|
|
3. Analyze with vision + audio understanding
|
|
4. Merge results and normalize timestamps
|
|
|
|
Pros:
|
|
- Captures visual information (charts, expressions, gestures)
|
|
- Holistic understanding (audio + visual)
|
|
|
|
Cons:
|
|
- Higher token cost (video frames)
|
|
- Slower processing
|
|
- API upload limits
|
|
|
|
Status: TODO - Implement in next sprint
|
|
"""
|
|
|
|
from typing import Any
|
|
|
|
from .schemas import VideoAnalysisResult
|
|
|
|
|
|
class DirectVideoStrategy:
|
|
"""Implements direct video analysis strategy using Gemini 1.5 Pro."""
|
|
|
|
def __init__(self, config: dict[str, Any] | None = None):
|
|
"""
|
|
Initialize strategy with configuration.
|
|
|
|
Args:
|
|
config: Optional configuration dict
|
|
- max_segment_duration: Max seconds per segment (default: 300)
|
|
- language: Language code (default: "ja")
|
|
"""
|
|
self.config = config or {}
|
|
self.max_segment_duration = self.config.get("max_segment_duration", 300)
|
|
self.language = self.config.get("language", "ja")
|
|
|
|
def analyze(self, video_path: str) -> VideoAnalysisResult:
|
|
"""
|
|
Analyze video using direct upload strategy.
|
|
|
|
Args:
|
|
video_path: Path to video file
|
|
|
|
Returns:
|
|
VideoAnalysisResult with segments and key moments
|
|
"""
|
|
# TODO: Implement in next sprint
|
|
raise NotImplementedError(
|
|
"Direct video analysis will be implemented in next sprint. "
|
|
"Use strategy='audio' for now."
|
|
)
|