fix: resolve stale waveform duplicates and throttle bypass for real-time streaming
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@@ -177,6 +177,9 @@ async def process_vitals(vitals):
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if device_id not in device_field_timestamps:
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device_field_timestamps[device_id] = {}
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# Check if incoming packet has fresh waveforms
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has_fresh_waveforms = (vitals.ecg_wave is not None) or (vitals.pleth_wave is not None)
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# 1. Merge new vitals into cached vitals to prevent fragmented entries
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if device_id not in device_cache:
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device_cache[device_id] = vitals
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@@ -236,6 +239,7 @@ async def process_vitals(vitals):
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logger.debug(f"WebSocket broadcast failed: {e}")
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# 4. Throttled Database & REST forwarding (at most once every 5 seconds)
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# Note: If we have fresh waveforms, we bypass throttle for REST forwarding to keep cloud graphs real-time
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now = datetime.now(timezone.utc)
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should_write_db = False
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if device_id not in last_db_write or (now - last_db_write[device_id]).total_seconds() >= 5.0:
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@@ -339,3 +343,14 @@ async def process_vitals(vitals):
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db.rollback()
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finally:
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db.close()
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elif has_fresh_waveforms:
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# Bypass throttle for REST forwarding to keep cloud graphs real-time
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try:
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await forward_vitals_to_api(vitals)
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except Exception as e:
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logger.error(f"Real-time REST forwarding failed: {e}")
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# Clear waveforms from cache to prevent repetition in subsequent non-waveform sub-packets
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if device_id in device_cache:
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device_cache[device_id].ecg_wave = None
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device_cache[device_id].pleth_wave = None
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