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These fixes were taken from https://github.com/arneman/EOS/tree/refactor/economic-objective. 1. Fix compaction job registration bug in eos.py: - compact_eos_database was registered with save_eos_database function - Now correctly calls compact_eos_database() - Root cause: compaction/vacuum never ran, allowing records to grow unbounded 2. Optimize db_iterate_records() from O(n) to O(log n): - Previous: linear scan from index 0 for every key_to_array() call - Now: uses bisect_left on _db_sorted_timestamps to skip to start position - Critical for large datasets: 9400 measurement records → 94s/call overhead → 5 calls/optimization 3. Reduce compaction_interval_sec default from 604800s (7 days) to 3600s (1 hour): - With 7-day interval: 65000 records accumulate before first cleanup - Bridge pushes ~1 record/9s (grid_export_emr) - Hourly compaction + 2h data window → stable ~950 records Signed-off-by: Bobby Noelte <b0661n0e17e@gmail.com>
22 lines
857 B
Bash
22 lines
857 B
Bash
# Default environment settings
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# -----------------------------------------------------------------------------
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# Docker Compose defaults
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# Host data directory for EOS (Linux / macOS)
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# Can be overridden by environment variables (e.g. PowerShell on Windows)
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DOCKER_COMPOSE_DATA_DIR=${HOME}/.local/share/net.akkudoktor.eos
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# -----------------------------------------------------------------------------
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# Image / build
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# -----------------------------------------------------------------------------
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VERSION=0.3.0.dev2607200446185246
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PYTHON_VERSION=3.13.9
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# -----------------------------------------------------------------------------
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# Ports
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# -----------------------------------------------------------------------------
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EOS_SERVER__PORT=8503
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EOS_SERVER__EOSDASH_PORT=8504
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