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Add scanner diagnostics for zero-candidate trade stalls

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This commit is contained in:
agentson
2026-02-18 00:11:53 +09:00
parent aeed881d85
commit e7de9aa894
3 changed files with 128 additions and 3 deletions
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70
src/analysis/smart_scanner.py
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@@ -128,6 +128,16 @@ class SmartVolatilityScanner:
if not fluct_rows:
return []
diagnostics: dict[str, int | float] = {
"total_rows": len(fluct_rows),
"missing_code": 0,
"invalid_price": 0,
"low_volatility": 0,
"connection_error": 0,
"unexpected_error": 0,
"qualified": 0,
}
volume_rank_bonus: dict[str, float] = {}
for idx, row in enumerate(volume_rows):
code = _extract_stock_code(row)
@@ -139,6 +149,7 @@ class SmartVolatilityScanner:
for stock in fluct_rows:
stock_code = _extract_stock_code(stock)
if not stock_code:
diagnostics["missing_code"] += 1
continue
try:
@@ -168,7 +179,11 @@ class SmartVolatilityScanner:
volume_ratio = max(volume_ratio, volume / prev_day_volume)
volatility_pct = max(abs(change_rate), intraday_range_pct)
if price <= 0 or volatility_pct < 0.8:
if price <= 0:
diagnostics["invalid_price"] += 1
continue
if volatility_pct < 0.8:
diagnostics["low_volatility"] += 1
continue
volatility_score = min(volatility_pct / 10.0, 1.0) * 85.0
@@ -189,14 +204,22 @@ class SmartVolatilityScanner:
score=score,
)
)
diagnostics["qualified"] += 1
except ConnectionError as exc:
diagnostics["connection_error"] += 1
logger.warning("Failed to analyze %s: %s", stock_code, exc)
continue
except Exception as exc:
diagnostics["unexpected_error"] += 1
logger.error("Unexpected error analyzing %s: %s", stock_code, exc)
continue
logger.info(
"Domestic scan diagnostics: %s (volatility_threshold=0.8, top_n=%d)",
diagnostics,
self.top_n,
)
logger.info("Domestic ranking scan found %d candidates", len(candidates))
candidates.sort(key=lambda c: c.score, reverse=True)
return candidates[: self.top_n]
@@ -242,6 +265,14 @@ class SmartVolatilityScanner:
if not fluct_rows:
return []
diagnostics: dict[str, int | float] = {
"total_rows": len(fluct_rows),
"missing_code": 0,
"invalid_price": 0,
"low_volatility": 0,
"qualified": 0,
}
volume_rank_bonus: dict[str, float] = {}
try:
volume_rows = await self.overseas_broker.fetch_overseas_rankings(
@@ -266,6 +297,7 @@ class SmartVolatilityScanner:
for row in fluct_rows:
stock_code = _extract_stock_code(row)
if not stock_code:
diagnostics["missing_code"] += 1
continue
price = _extract_last_price(row)
@@ -275,7 +307,11 @@ class SmartVolatilityScanner:
volatility_pct = max(abs(change_rate), intraday_range_pct)
# Volatility-first filter (not simple gainers/value ranking).
if price <= 0 or volatility_pct < 0.8:
if price <= 0:
diagnostics["invalid_price"] += 1
continue
if volatility_pct < 0.8:
diagnostics["low_volatility"] += 1
continue
volatility_score = min(volatility_pct / 10.0, 1.0) * 85.0
@@ -295,7 +331,14 @@ class SmartVolatilityScanner:
score=score,
)
)
diagnostics["qualified"] += 1
logger.info(
"Overseas ranking scan diagnostics for %s: %s (volatility_threshold=0.8, top_n=%d)",
market.code,
diagnostics,
self.top_n,
)
if candidates:
logger.info(
"Overseas ranking scan found %d candidates for %s",
@@ -320,6 +363,14 @@ class SmartVolatilityScanner:
len(symbols),
market.name,
)
diagnostics: dict[str, int | float] = {
"total_rows": len(symbols),
"invalid_price": 0,
"low_volatility": 0,
"connection_error": 0,
"unexpected_error": 0,
"qualified": 0,
}
candidates: list[ScanCandidate] = []
for stock_code in symbols:
try:
@@ -333,7 +384,11 @@ class SmartVolatilityScanner:
intraday_range_pct = _extract_intraday_range_pct(output, price)
volatility_pct = max(abs(change_rate), intraday_range_pct)
if price <= 0 or volatility_pct < 0.8:
if price <= 0:
diagnostics["invalid_price"] += 1
continue
if volatility_pct < 0.8:
diagnostics["low_volatility"] += 1
continue
score = min(volatility_pct / 10.0, 1.0) * 100.0
@@ -351,10 +406,19 @@ class SmartVolatilityScanner:
score=score,
)
)
diagnostics["qualified"] += 1
except ConnectionError as exc:
diagnostics["connection_error"] += 1
logger.warning("Failed to analyze overseas %s: %s", stock_code, exc)
except Exception as exc:
diagnostics["unexpected_error"] += 1
logger.error("Unexpected error analyzing overseas %s: %s", stock_code, exc)
logger.info(
"Overseas fallback scan diagnostics for %s: %s (volatility_threshold=0.8, top_n=%d)",
market.code,
diagnostics,
self.top_n,
)
logger.info(
"Overseas symbol fallback scan found %d candidates for %s",
len(candidates),