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https://github.com/Monadical-SAS/reflector.git
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8c4f5e9c0f
* fix: cpu usage on server ws manager, 100% to 0% on idle * fix: change email icon to white and prefill email in daily room for authenticated users * fix: improve email sending with full ts transcript
73 lines
2.4 KiB
Python
73 lines
2.4 KiB
Python
"""
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Hatchet workflow constants.
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"""
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from enum import StrEnum
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class TaskName(StrEnum):
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GET_RECORDING = "get_recording"
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GET_PARTICIPANTS = "get_participants"
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PROCESS_TRACKS = "process_tracks"
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MIXDOWN_TRACKS = "mixdown_tracks"
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GENERATE_WAVEFORM = "generate_waveform"
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DETECT_TOPICS = "detect_topics"
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GENERATE_TITLE = "generate_title"
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EXTRACT_SUBJECTS = "extract_subjects"
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PROCESS_SUBJECTS = "process_subjects"
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GENERATE_RECAP = "generate_recap"
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IDENTIFY_ACTION_ITEMS = "identify_action_items"
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FINALIZE = "finalize"
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CLEANUP_CONSENT = "cleanup_consent"
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POST_ZULIP = "post_zulip"
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SEND_WEBHOOK = "send_webhook"
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SEND_EMAIL = "send_email"
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PAD_TRACK = "pad_track"
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TRANSCRIBE_TRACK = "transcribe_track"
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DETECT_CHUNK_TOPIC = "detect_chunk_topic"
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GENERATE_DETAILED_SUMMARY = "generate_detailed_summary"
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# File pipeline tasks
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EXTRACT_AUDIO = "extract_audio"
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UPLOAD_AUDIO = "upload_audio"
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TRANSCRIBE = "transcribe"
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DIARIZE = "diarize"
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ASSEMBLE_TRANSCRIPT = "assemble_transcript"
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GENERATE_SUMMARIES = "generate_summaries"
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# Live post-processing pipeline tasks
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WAVEFORM = "waveform"
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CONVERT_MP3 = "convert_mp3"
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UPLOAD_MP3 = "upload_mp3"
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REMOVE_UPLOAD = "remove_upload"
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FINAL_SUMMARIES = "final_summaries"
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# Rate limit key for LLM API calls (shared across all LLM-calling tasks)
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LLM_RATE_LIMIT_KEY = "llm"
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# Max LLM calls per second across all tasks
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LLM_RATE_LIMIT_PER_SECOND = 10
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# Task execution timeouts (seconds)
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TIMEOUT_SHORT = 60 # Quick operations: API calls, DB updates
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TIMEOUT_MEDIUM = (
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300 # Single LLM calls, waveform generation (5m for slow LLM responses)
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)
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TIMEOUT_LONG = 180 # Action items (larger context LLM)
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TIMEOUT_TITLE = 300 # generate_title (single LLM call; doc: reduce from 600s)
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TIMEOUT_AUDIO = 720 # Audio processing: padding, mixdown (Hatchet execution_timeout)
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TIMEOUT_AUDIO_HTTP = (
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660 # httpx timeout for pad_track — below 720 so Hatchet doesn't race
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)
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TIMEOUT_HEAVY = 1200 # Transcription, fan-out LLM tasks (Hatchet execution_timeout)
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TIMEOUT_HEAVY_HTTP = (
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1150 # httpx timeout for transcribe_track — below 1200 so Hatchet doesn't race
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)
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TIMEOUT_EXTRA_HEAVY = (
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3600 # Detect Topics, fan-out LLM tasks (Hatchet execution_timeout)
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)
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TIMEOUT_EXTRA_HEAVY_HTTP = (
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3400 # httpx timeout for detect_topics — below 3600 so Hatchet doesn't race
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)
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