dashboard: redesign signal workspace and refresh flow

This commit is contained in:
Harwinder Sekhon
2026-08-18 14:54:47 -04:00
parent 2a2ccb13dd
commit aa270dc145
6 changed files with 492 additions and 300 deletions
+34 -15
View File
@@ -82,8 +82,7 @@ SUMMARY_PHP_FILE = "news_summary.php"
# Repo files copied into the out dir at daemon start (git pull + restart
# updates them). The PHP endpoint reads news.json in place, so it lives
# next to the page.
STATIC_FILES = [PAGE_FILE, "dashboard.css", "dashboard.js", "gauge.js",
SUMMARY_PHP_FILE]
STATIC_FILES = [PAGE_FILE, "dashboard.css", "dashboard.js", SUMMARY_PHP_FILE]
# ══════════════════════════════════════════════════════════════════
@@ -323,6 +322,7 @@ class DashboardPublisher:
def __init__(self, out_dir: str):
self.out_dir = out_dir
self.snapshots: Dict[str, dict] = {}
self._reports = {}
self.news_payload: Optional[dict] = None
self._dp = None
self._news_engine: Optional[NewsEngine] = None
@@ -359,13 +359,7 @@ class DashboardPublisher:
try:
report = produce_signal(XAUUSD, tf, self._provider(),
CONFIRMATIONS[tf])
# Advisory AI panel, post-hoc and display-only. Off unless
# config.json agent_panel.dashboard is true. The reuse-TTL
# cache + max_panels_per_day budget bound the spend against
# this process's own DeepSeek cap (a persisting M5 signal
# re-serves its cached verdict instead of re-running every
# bar); a fresh panel adds ≤~25 s before this TF publishes.
attach_panel(report, surface="dashboard")
self._reports[tf.value] = report
self.snapshots[tf.value] = {
"status": "ok",
"scanned_at": datetime.now(timezone.utc).isoformat(),
@@ -377,16 +371,41 @@ class DashboardPublisher:
logger.info(f"{tf.value}: {report.final_signal.name} "
f"q={report.signal_quality or '-'} "
f"({time.time() - started:.1f}s)")
except Exception as e:
except Exception:
# Keep the last good report; the page shows it with an
# error badge instead of going blank.
logger.exception(f"{tf.value} scan failed")
self._reports.pop(tf.value, None)
entry = self.snapshots.get(tf.value) or _empty_tf_entry()
entry["status"] = "error"
entry["error"] = f"{type(e).__name__}: {e}"
# The public snapshot carries a stable message; exception
# detail remains in dashboard.log for the operator.
entry["error"] = "Scan unavailable"
entry["error_at"] = datetime.now(timezone.utc).isoformat()
self.snapshots[tf.value] = entry
def attach_panels(self, tfs: List[Timeframe]) -> bool:
"""Add advisory panels after publishing the technical snapshot.
A panel is display-only and can take tens of seconds on a cold LLM
request. Keeping its report object locally lets the page receive the
candle-close signal first, then a second atomic snapshot only when a
panel produced a result.
"""
updated = False
for tf in tfs:
report = self._reports.get(tf.value)
if report is None:
continue
if not attach_panel(report, surface="dashboard"):
continue
entry = self.snapshots.get(tf.value)
if entry is None or entry.get("status") != "ok":
continue
entry["report"] = report_to_webapp_dict(report)
updated = True
return updated
def refresh_news(self) -> None:
try:
ne = self._news()
@@ -413,11 +432,11 @@ class DashboardPublisher:
def run_cycle(self, tfs: List[Timeframe]) -> None:
for tf in tfs: # sequential — see module docstring (cache dedup)
self.scan_tf(tf)
# Snapshot lands BEFORE the news refresh: when the news TTL has
# expired, refresh_news does FF + 4 RSS fetches (and possibly
# DeepSeek calls) — 20-30 s that must not keep fresh signals off
# the page.
# Technical signals land before any optional slow work. News and the
# advisory panel are display-only and may take 20-30 seconds cold.
self.publish_snapshot()
if self.attach_panels(tfs):
self.publish_snapshot()
self.refresh_news()
self.publish_news()