Includes core prod + GREEN/BLUE subsystems: - prod/ (BLUE harness, configs, scripts, docs) - nautilus_dolphin/ (GREEN Nautilus-native impl + dvae/ preserved) - adaptive_exit/ (AEM engine + models/bucket_assignments.pkl) - Observability/ (EsoF advisor, TUI, dashboards) - external_factors/ (EsoF producer) - mc_forewarning_qlabs_fork/ (MC regime/envelope) Excludes runtime caches, logs, backups, and reproducible artifacts per .gitignore.
42 lines
1.4 KiB
YAML
Executable File
42 lines
1.4 KiB
YAML
Executable File
# DOLPHIN — EsoF Daemon Deployment Configuration
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# ================================================
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# Esoteric Factors Daemon: continuous process that computes local
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# astronomical/mathematical indicators (no external APIs, no rate limits)
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# and pushes a fresh snapshot to Hazelcast DOLPHIN_FEATURES['esof_latest']
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# every 5 seconds — synchronised with the master DOLPHIN scan frequency.
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#
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# NOT a scheduled flow — this is a continuous, long-running daemon.
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#
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# Deploy:
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# prefect deployment apply prod/esof_deployment.yaml
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# Run:
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# prefect deployment run 'esof-prefect-flow/esof-daemon'
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name: esof-daemon
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description: |
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Esoteric Factors Daemon — pure local computations (astropy + math),
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zero external API calls. Pushes moon phase, mercury retrograde, liquidity
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session, market cycle, fibonacci time, regional times, and calendar fields
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to Hazelcast every 5s.
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entrypoint: prod/esof_prefect_flow.py:esof_prefect_flow
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version: 1.0.0
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tags: ["esof", "esoteric-factors", "production"]
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work_pool:
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name: dolphin
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work_queue_name: default
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# warmup_s: one EsotericFactorsService poll cycle (5s) + 1s margin.
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# poll_interval_s: internal compute cadence; keep equal to HZ push interval.
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parameters:
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warmup_s: 6
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poll_interval_s: 5.0
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# Process-based infrastructure — long-running daemon (mirrors ExF pattern)
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infrastructure:
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type: process
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env: {}
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labels: {}
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