First production run hit Anthropic's per-account rate_limit_error (429) trying to burn through 16 backfill videos in seconds. The SDK's built-in retry can't recover because the rate limit window resets slower than the 3 retry attempts. Added meet_kevin_inter_video_sleep_seconds (default 30s) to PipelineDeps and main's _process_pending_videos loop. 16 backfill videos now take ~8 min (16 * 30s sleeps + ~30s per LLM call) instead of bursting into the rate limit.
32 lines
1 KiB
Python
32 lines
1 KiB
Python
"""Configuration for the Meet Kevin watcher service."""
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from shared.config import BaseConfig
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class MeetKevinWatcherConfig(BaseConfig):
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"""Meet Kevin watcher settings.
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Extends :class:`BaseConfig` with YouTube channel monitoring,
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caption fetching, and LLM analysis settings. All settings can be
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overridden via environment variables prefixed with ``TRADING_``.
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"""
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# YouTube settings
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meet_kevin_channel_id: str = "UCUvvj5lwue7PspotMDjk5UA"
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meet_kevin_poll_interval_seconds: int = 10800
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meet_kevin_max_caption_retries: int = 5
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# LLM analysis settings
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meet_kevin_max_llm_retries: int = 3
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meet_kevin_llm_model: str = "claude-sonnet-4-5"
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meet_kevin_prompt_version: str = "v1"
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meet_kevin_daily_cost_cap_usd: float = 5.0
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meet_kevin_inter_video_sleep_seconds: int = 30
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# API credentials
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anthropic_oauth_token: str = ""
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# Runtime settings
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meet_kevin_workdir: str = "/tmp/meet_kevin_captions"
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otel_service_name: str = "meet-kevin-watcher"
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otel_metrics_port: int = 9097
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