refactor(hermes_cli/web_routers/analytics): _rows query helper, _AUX_SUMMED_KEYS table, comprehension for model cards

This commit is contained in:
Teknium
2026-09-02 21:43:57 -07:00
parent 977092fb41
commit e808742450
+25 -29
View File
@@ -72,13 +72,17 @@ async def update_config_raw(body: RawConfigUpdate, profile: Optional[str] = None
raise HTTPException(status_code=400, detail=f"Invalid YAML: {e}")
def _rows(db, sql: str, cutoff: float) -> List[Dict[str, Any]]:
return [dict(r) for r in db._conn.execute(sql, (cutoff,)).fetchall()]
def _get_usage_analytics(days: int = 30, profile: Optional[str] = None):
from agent.insights import InsightsEngine
db = _open_session_db_for_profile(profile, read_only=True)
try:
cutoff = time.time() - (days * 86400)
cur = db._conn.execute("""
daily = _rows(db, """
SELECT date(started_at, 'unixepoch') as day,
SUM(input_tokens) as input_tokens,
SUM(output_tokens) as output_tokens,
@@ -90,10 +94,9 @@ def _get_usage_analytics(days: int = 30, profile: Optional[str] = None):
SUM(COALESCE(api_call_count, 0)) as api_calls
FROM sessions WHERE started_at > ?
GROUP BY day ORDER BY day
""", (cutoff,))
daily = [dict(r) for r in cur.fetchall()]
""", cutoff)
cur2 = db._conn.execute("""
by_model = _rows(db, """
SELECT model,
SUM(input_tokens) as input_tokens,
SUM(output_tokens) as output_tokens,
@@ -102,15 +105,14 @@ def _get_usage_analytics(days: int = 30, profile: Optional[str] = None):
SUM(COALESCE(api_call_count, 0)) as api_calls
FROM sessions WHERE started_at > ? AND model IS NOT NULL
GROUP BY model ORDER BY SUM(input_tokens) + SUM(output_tokens) DESC
""", (cutoff,))
by_model = [dict(r) for r in cur2.fetchall()]
""", cutoff)
# Fold in auxiliary usage (vision, compression, ...) from session_model_usage.
# Aux calls never touch the sessions counters, so this is add-only — no double count.
aux_rows = _aux_usage_rows(db, cutoff)
by_model = _merge_aux_into_by_model(by_model, aux_rows)
cur3 = db._conn.execute("""
totals = _rows(db, """
SELECT SUM(input_tokens) as total_input,
SUM(output_tokens) as total_output,
SUM(cache_read_tokens) as total_cache_read,
@@ -120,8 +122,7 @@ def _get_usage_analytics(days: int = 30, profile: Optional[str] = None):
COUNT(*) as total_sessions,
SUM(COALESCE(api_call_count, 0)) as total_api_calls
FROM sessions WHERE started_at > ?
""", (cutoff,))
totals = dict(cur3.fetchone())
""", cutoff)[0]
usage = InsightsEngine(db).get_usage_breakdown(days=days)
return {
@@ -214,6 +215,9 @@ def _model_capabilities(provider: str, model_name: str) -> dict:
}
_AUX_SUMMED_KEYS = (
"input_tokens", "output_tokens", "cache_read_tokens", "reasoning_tokens", "estimated_cost", "sessions", "api_calls",
)
_MODEL_CARD_KEYS = (
"input_tokens", "output_tokens", "cache_read_tokens", "reasoning_tokens",
"estimated_cost", "actual_cost", "sessions", "api_calls", "tool_calls",
@@ -227,7 +231,7 @@ def _get_models_analytics(days: int = 30, profile: Optional[str] = None):
try:
cutoff = time.time() - (days * 86400)
cur = db._conn.execute("""
raw_rows = _rows(db, """
SELECT model,
billing_provider,
SUM(input_tokens) as input_tokens,
@@ -244,8 +248,7 @@ def _get_models_analytics(days: int = 30, profile: Optional[str] = None):
FROM sessions WHERE started_at > ? AND model IS NOT NULL AND model != ''
GROUP BY model, billing_provider
ORDER BY SUM(input_tokens) + SUM(output_tokens) DESC
""", (cutoff,))
raw_rows = [dict(r) for r in cur.fetchall()]
""", cutoff)
# Aux-only models (dedicated vision/compression) as (model, provider) rows,
# keyed like the GROUP BY above, so they appear on the Models page.
@@ -253,14 +256,8 @@ def _get_models_analytics(days: int = 30, profile: Optional[str] = None):
raw_rows.append({
"model": aux.get("model") or "unknown",
"billing_provider": aux.get("billing_provider") or "",
"input_tokens": aux.get("input_tokens") or 0,
"output_tokens": aux.get("output_tokens") or 0,
"cache_read_tokens": aux.get("cache_read_tokens") or 0,
"reasoning_tokens": aux.get("reasoning_tokens") or 0,
"estimated_cost": aux.get("estimated_cost") or 0,
**{key: aux.get(key) or 0 for key in _AUX_SUMMED_KEYS},
"actual_cost": 0,
"sessions": aux.get("sessions") or 0,
"api_calls": aux.get("api_calls") or 0,
"tool_calls": 0,
"last_used_at": aux.get("last_used_at"),
"avg_tokens_per_session": 0,
@@ -273,17 +270,17 @@ def _get_models_analytics(days: int = 30, profile: Optional[str] = None):
reverse=True,
)
models = []
for row in rows:
provider = row.get("billing_provider") or ""
models.append({
models = [
{
"model": row["model"],
"provider": provider,
"provider": row.get("billing_provider") or "",
**{key: row[key] for key in _MODEL_CARD_KEYS},
"capabilities": _model_capabilities(provider, row["model"]),
})
"capabilities": _model_capabilities(row.get("billing_provider") or "", row["model"]),
}
for row in rows
]
totals_cur = db._conn.execute("""
totals = _rows(db, """
SELECT COUNT(DISTINCT model) as distinct_models,
SUM(input_tokens) as total_input,
SUM(output_tokens) as total_output,
@@ -294,8 +291,7 @@ def _get_models_analytics(days: int = 30, profile: Optional[str] = None):
COUNT(*) as total_sessions,
SUM(COALESCE(api_call_count, 0)) as total_api_calls
FROM sessions WHERE started_at > ? AND model IS NOT NULL AND model != ''
""", (cutoff,))
totals = dict(totals_cur.fetchone())
""", cutoff)[0]
return {"models": models, "totals": totals, "period_days": days}
finally: