Database connectivity defaults to a 5 second PostgreSQL connect timeout. Override with DATABASE_CONNECT_TIMEOUT when needed. Set MIGRATIONS_OUTPUT_JSON=1 when running run_migrations.py for a machine-readable migration summary.

Current closed loop

当前主线可运行链路：

OKX -> candles -> market_sessions -> swings -> dealing_ranges -> liquidity_pools -> sweep_events -> displacement_events -> MSS -> FVG -> bias_snapshots -> trade_signals -> trade_executions -> backtest_runs -> backtest_results -> reports

Local Docker deployment

Use the single-set local Docker deployment policy for local server deployment:

Deploy from the deploy directory /root/deploy/ai-ict.
Keep the compose project ai-ict, container ai-ict, and exactly one active deployment set.
Keep one active ai-ict container; do not create a second local stack or a second ai-ict container.
Before every local rebuild, stop stale services first, then start the same set:

cd /root/deploy/ai-ict
docker compose -p ai-ict down --remove-orphans
docker compose -p ai-ict up -d --build

Runtime utility scripts

python3 scripts/run_dev.py - run the scaffold entrypoint
python3 scripts/show_models.py - list exported ORM model names
python3 scripts/check_db.py - run a simple database connectivity check
python3 scripts/run_migrations.py - apply SQL files in migrations/ order
python3 scripts/run_okx_backfill.py - fetch and write sample OKX candles
python3 scripts/run_session_generator.py - generate market sessions
python3 scripts/run_swings.py - rebuild swings
python3 scripts/run_ranges.py - rebuild dealing ranges
python3 scripts/run_liquidity.py - rebuild liquidity pools
python3 scripts/run_sweeps.py - rebuild sweep events
python3 scripts/run_displacement.py - rebuild displacement events
python3 scripts/run_mss.py - rebuild MSS structure events
python3 scripts/run_fvg.py - rebuild FVG zones
python3 scripts/run_signals.py - generate bias and signals
python3 scripts/run_execution.py - run paper execution gating, create an execution record, then auto-settle the latest execution for that signal
python3 scripts/run_backtest.py - run backtest and write results
python3 scripts/run_autonomous_cycle.py - run the unattended cycle: offline checks, database probe, readiness checks, then guarded pipeline when the database is available; prints Next actions for the next unattended step
python3 scripts/run_database_readiness.py - run read-only database readiness checks for connection, schema, seed data, and candle availability; prints next_actions and action_plan in JSON mode
.venv/bin/python scripts/run_offline_checks.py - run the broader offline check suite, including the M35 acceptance posture through the Training Case acceptance manifest for focused milestone test suites, the Training Case package smoke registered as training_case_package, dashboard syntax validation as dashboard_js_syntax, and dashboard and public docs privacy smoke coverage; this public validation runs as offline checks without external services
.venv/bin/python scripts/run_training_case_package.py --input tests/fixtures/training_case_package_m6.json --output /tmp/training_case_public_export.json - run the Training Case offline package smoke, an import/export smoke with local files, and write public output as the public export in the public package shape; exported public JSON omits internal solution details
python3 scripts/run_migration_static_checks.py - check migration order and required core schema without connecting to the database
python3 scripts/run_script_static_checks.py - check automation scripts for unsafe ambient environment fallback patterns
python3 scripts/run_replay_file.py <candles.json|candles.jsonl|candles.csv> - run offline no-lookahead candle replay without database access
python3 scripts/run_reports.py - build sample reports from current services
python3 scripts/run_api_server.py - start a lightweight HTTP API server on 127.0.0.1:8000 and open / for the minimal dashboard
python3 scripts/run_pipeline.py - run the current end-to-end closed loop and print a structured summary

Optional report environment variables used by run_reports.py:

REPORTS_OUTPUT_JSON - set to 1, true, yes, or on for machine-readable sample report output

Optional utility JSON output variables:

CHECK_DB_OUTPUT_JSON
CHECK_DB_CONNECTION_OUTPUT_JSON
MIGRATION_CHECKS_OUTPUT_JSON
SCRIPT_CHECKS_OUTPUT_JSON
SHOW_MODELS_OUTPUT_JSON

Optional structure script JSON output variables:

SESSION_GENERATOR_OUTPUT_JSON
SWINGS_OUTPUT_JSON
RANGES_OUTPUT_JSON
LIQUIDITY_OUTPUT_JSON
SWEEPS_OUTPUT_JSON
DISPLACEMENT_OUTPUT_JSON
MSS_OUTPUT_JSON
FVG_OUTPUT_JSON

Optional backtest cost environment variables used by run_backtest.py and run_pipeline.py:

BACKTEST_FEE_RATE
BACKTEST_SLIPPAGE_RATE
BACKTEST_FIXED_COST_R

Optional backtest automation gate used by run_backtest.py and run_pipeline.py:

BACKTEST_OUTPUT_JSON - set to 1, true, yes, or on for machine-readable run_backtest.py output
BACKTEST_REQUIRE_QUALITY_GATE - set to 1, true, yes, or on to exit with code 2 when the backtest quality gate fails
BACKTEST_MIN_TOTAL_SIGNALS
BACKTEST_MIN_EXECUTED_SIGNALS
BACKTEST_MIN_EXPECTANCY_R
BACKTEST_MIN_PROFIT_FACTOR_R
BACKTEST_MAX_DRAWDOWN_R
BACKTEST_MAX_CONSECUTIVE_LOSSES

Optional pipeline environment variables used by run_pipeline.py:

PIPELINE_OUTPUT_JSON - set to 1, true, yes, or on for machine-readable pipeline error output

Optional replay environment variables used by run_replay_file.py:

OFFLINE_REPLAY_FILE - optional candle file path used by run_offline_checks.py to include replay validation
OFFLINE_CHECKS_OUTPUT_JSON - set to 1, true, yes, or on for machine-readable offline check summary output
REPLAY_LEFT_BARS
REPLAY_RIGHT_BARS
REPLAY_MIN_CANDLES
REPLAY_MIN_SWINGS
REPLAY_MAX_GAP_MINUTES
REPLAY_OUTPUT_JSON - set to 1, true, yes, or on for machine-readable replay summary output

Example offline replay gate:

OFFLINE_REPLAY_FILE=tests/fixtures/offline_replay_sample.jsonl \
REPLAY_LEFT_BARS=1 REPLAY_RIGHT_BARS=1 \
REPLAY_MIN_CANDLES=5 REPLAY_MIN_SWINGS=2 \
.venv/bin/python scripts/run_offline_checks.py

Optional OKX backfill environment variables used by run_okx_backfill.py:

OKX_BACKFILL_SYMBOL - defaults to BTC-USDT
OKX_BACKFILL_INST_ID - defaults to <symbol>-SWAP
OKX_BACKFILL_PAGES - defaults to 20
OKX_BACKFILL_LIMIT - defaults to 100
OKX_BACKFILL_TIMEFRAMES - defaults to 1m,5m,15m
OKX_BACKFILL_OUTPUT_JSON - emit a machine-readable backfill summary

Optional autonomous cycle environment variables used by run_autonomous_cycle.py:

AUTONOMOUS_OUTPUT_JSON - emit a machine-readable cycle summary
AUTONOMOUS_REQUIRE_DB - return code 2 when the database is unavailable
AUTONOMOUS_RUN_PIPELINE - set to 0 to stop after a successful database probe
AUTONOMOUS_MAX_DB_PROBES - number of database probe attempts before stopping
AUTONOMOUS_PROBE_INTERVAL_SECONDS - sleep interval between database probe attempts
AUTONOMOUS_REQUIRE_SCHEMA - enabled by default; set to 0 to skip core table readiness checks before the guarded pipeline
AUTONOMOUS_APPLY_MIGRATIONS - enabled by default; when schema is not ready, run migrations, recheck schema, then continue
AUTONOMOUS_REQUIRE_DATA_READINESS - enabled by default; set to 0 to skip read-only seed/candle readiness before the guarded pipeline
AUTONOMOUS_BACKFILL_CANDLES - enabled by default; when readiness only lacks candles, run OKX backfill, recheck readiness, then continue
The guarded pipeline step defaults BACKTEST_REQUIRE_QUALITY_GATE=1 and PIPELINE_OUTPUT_JSON=1 unless explicitly overridden

Current autonomous modes emit machine-readable next_actions and action_plan, including:

waiting_for_database -> wait_for_database_recovery
database_schema_not_ready -> run_migrations_before_pipeline
migration_failed -> inspect_migration_output_and_schema
database_readiness_failed -> the readiness script's own next action, such as run_okx_backfill_or_load_replay_sample
backfill_failed -> inspect_backfill_output_and_data_readiness
pipeline_failed -> inspect_pipeline_output_and_quality_gates

Each action_plan item includes the action name, suggested command, description, and requires_database.

Optional database readiness environment variables used by run_database_readiness.py:

READINESS_OUTPUT_JSON
READINESS_REQUIRED_VENUES
READINESS_REQUIRED_INSTRUMENTS
READINESS_CANDLE_INSTRUMENT_ID
READINESS_CANDLE_TIMEFRAME
READINESS_MIN_CANDLES - defaults to 50
READINESS_MIN_CANDLE_SPAN_MINUTES - defaults to 60
READINESS_MAX_CANDLE_AGE_MINUTES - defaults to 240

Optional account risk environment variables used by run_execution.py and run_pipeline.py:

EXECUTION_OUTPUT_JSON - set to 1, true, yes, or on for machine-readable run_execution.py output
EXECUTION_SETTLEMENT_OUTPUT_JSON - set to 1, true, yes, or on for machine-readable run_execution_settlement.py output
EXECUTION_KILL_SWITCH
EXECUTION_DAILY_PNL_PCT
EXECUTION_CONSECUTIVE_LOSSES
EXECUTION_OPEN_POSITIONS
EXECUTION_SAME_SIDE_OPEN_POSITIONS
EXECUTION_MAX_DAILY_LOSS_PCT
EXECUTION_MAX_CONSECUTIVE_LOSSES
EXECUTION_MAX_OPEN_POSITIONS
EXECUTION_MAX_SAME_SIDE_POSITIONS

Optional signal quality environment variables used by run_signals.py and run_pipeline.py:

SIGNALS_OUTPUT_JSON - set to 1, true, yes, or on for machine-readable run_signals.py output
SIGNAL_EVIDENCE_MODE - minimal by default, or strict to require sweep/displacement/liquidity evidence before building a signal

Lightweight API helpers

The src/api/ package exposes internal query helpers and HTTP routes for:

GET /health
GET /candles?instrument_id=1&timeframe=1m&limit=100
GET /sessions?instrument_id=1&limit=20
GET /signals?instrument_id=1&limit=20
GET /executions?instrument_id=1&limit=20
GET /backtests?instrument_id=1&limit=10

Open / in the browser for the minimal dashboard, which now includes health, candles, signals, sessions, executions, and backtests.

Validation

Unit tests:

python3 -m unittest discover -s tests/unit -p "test_*.py"