Show snapshot input diagnostics

[Pigbibi]

Summary

• surface snapshot manifest input dates and source refresh metadata in signal snapshots
• show price/universe/fallback diagnostics in heartbeat and rebalance notifications
• bump QuantPlatformKit/US/HK strategy dependencies to compatible released tags
• add display-name and rollout matrix coverage for the newly enabled HK high-dividend profile

Tests

• PYTHONPATH=/home/ubuntu/Projects/LongBridgePlatform:/home/ubuntu/Projects/QuantPlatformKit/src:/home/ubuntu/Projects/UsEquityStrategies/src:/home/ubuntu/Projects/HkEquityStrategies/src /tmp/useq-snapshot-guardrails-venv/bin/python -m pytest tests -q
• /tmp/useq-snapshot-guardrails-venv/bin/python -m py_compile application/signal_snapshot.py notifications/renderers.py notifications/telegram.py
• timeout 180s /tmp/useq-snapshot-guardrails-venv/bin/python -m pip install --dry-run -r requirements.txt
• git diff --check

[chatgpt-codex-connector]

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[chatgpt-codex-connector]

Pass manifest metadata into signal snapshots

Reading snapshot_manifest_* keys here does not surface the new diagnostics in the normal rebalance/heartbeat path: LongBridgeRuntimeStrategyAdapters.resolve_rebalance_plan() receives them as evaluation metadata, decision_mapper.map_strategy_decision_to_plan() only emits the whitelisted execution fields, and run_strategy() calls build_signal_snapshot() with only execution={...} and allocation=... (no metadata/diagnostics). For strategies where the manifest diagnostics are supplied via runtime metadata, these fields remain None, so the newly added notification line never shows the intended price/universe/fallback data outside the direct unit test.

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