Fix historical ratio values and stats profile performance regression
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# TASK-254 - Fix historical ratio values and stats profile performance regression
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## Summary
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This task fixes two regressions detected before pushing TASK-252 and TASK-253:
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1. Historical leaderboard ratio columns could show `0,00` when the direct ratio field was `null`.
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2. The public player profile in `stats.html` could become slow when the weekly/monthly read model was empty and the endpoint fell back to runtime aggregation.
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## Historical Ratios
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Root cause:
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- `formatHistoricalPerMatch(...)` converted `null` direct values with `Number(null)`, which becomes `0`.
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- For `Top muertes` and `Soporte`, that caused the formatter to stop early and render `0,00` instead of dividing the real total by matches.
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Fix:
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- treat `null`, `undefined` and empty string as missing direct values
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- only use a direct ratio value when it is truly present
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- otherwise compute:
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- kills / partidas
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- muertes / partidas
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- soporte / partidas
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- if `matches <= 0` or the total is missing, render an empty string instead of a fake `0,00`
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Expected examples:
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- kills `170`, matches `4` -> `42,50`
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- deaths `225`, matches `14` -> `16,07`
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## Stats Profile Performance
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Root cause:
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- TASK-253 added a runtime fallback for weekly/monthly personal profile reads when `player_period_stats` was empty.
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- That fallback queried live materialized match/player tables and ranking windows on the request path.
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- For public profile reads this is too expensive and can degrade page responsiveness.
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Fix:
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- disable the runtime fallback for weekly/monthly profile reads
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- keep the endpoint read-model-first only for public weekly/monthly profile windows
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- when the read model is missing:
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- return a lightweight profile payload
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- keep external profile links and platform identity
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- keep `kpm = null`
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- keep `kpm_status = missing_active_time`
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This preserves:
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- translated labels
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- hidden personal ID in the visible profile card
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- external profile buttons
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- no fake KPM
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## Teamkills
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No TeamKills change was implemented here.
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Reference:
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- `TASK-251-investigate-teamkills-ranking-zeroes.md`
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## Validation
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Executed:
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- `node --check frontend/assets/js/historico.js`
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- `node --check frontend/assets/js/stats.js`
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- `python -m compileall backend/app`
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- `cd backend; python -m unittest tests.test_current_match_payload`
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- `cd backend; python -m unittest tests.test_historical_snapshot_refresh`
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- `cd backend; python -m unittest tests.test_stats_player_profile_payload`
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Static/manual checks:
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- no `undefined` titles remain in historical leaderboard labels
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- `Kills/partida` only stays on `Top kills`
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- `Muertes/partida` stays on `Top muertes`
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- `matches_over_100_kills` keeps no ratio column
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- Steam profile buttons still resolve to Steam + Hellor + HLL Records + Helo
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- Epic profile buttons still resolve to Hellor + HLL Records
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## Notes
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- No backend scheduler change.
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- No RCON/server configuration change.
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- No asset change.
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@@ -378,18 +378,12 @@ def get_rcon_materialized_player_stats(
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if read_model_result is not None:
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return read_model_result
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runtime_result = _get_rcon_materialized_player_stats_runtime(
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return _build_missing_player_period_stats_result(
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player_id=normalized_player_id,
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server_id=server_id,
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timeframe=resolved_timeframe,
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db_path=db_path,
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missing_reason=fallback_reason or "player-period-stats-unavailable",
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)
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runtime_result.setdefault("source", {})
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runtime_result["source"]["fallback_used"] = True
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runtime_result["source"]["fallback_reason"] = fallback_reason or "player-period-stats-unavailable"
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runtime_result["source"]["read_model"] = "player-period-stats"
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runtime_result["source"]["freshness"] = "runtime-fallback"
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return runtime_result
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return _get_rcon_materialized_player_stats_runtime(
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player_id=normalized_player_id,
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@@ -1655,6 +1649,21 @@ def _build_missing_player_period_stats_result(
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"kills": 0,
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"deaths": 0,
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"teamkills": 0,
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"player_active_seconds": None,
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"player_active_minutes": None,
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"kpm": None,
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"kpm_status": "missing_active_time",
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"active_time_source": "unavailable",
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"active_time_coverage": {
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"eligible_matches": 0,
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"real_source_matches": 0,
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"observed_matches": 0,
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"total_matches_considered": 0,
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"eligible_kills": 0,
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"minimum_active_seconds": get_kpm_min_active_seconds(),
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"sources": [],
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},
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**build_external_player_profile_fields(player_id=player_id),
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"weekly_ranking": None,
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"monthly_ranking": None,
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"source": {
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@@ -11,40 +11,22 @@ from app.rcon_historical_player_stats import (
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class StatsPlayerProfilePayloadTests(unittest.TestCase):
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def test_player_stats_falls_back_to_runtime_when_period_read_model_is_empty(self) -> None:
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runtime_payload = {
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"player_id": "76561198000000000",
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"player_name": "Runtime Player",
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"server_id": "all-servers",
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"timeframe": "weekly",
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"window_kind": "current-week",
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"matches_considered": 3,
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"kills": 25,
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"deaths": 12,
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"teamkills": 1,
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"weekly_ranking": {"metric": "kills", "ranking_position": 5},
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"monthly_ranking": {"metric": "kills", "ranking_position": 8},
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"source": {"primary_source": "rcon"},
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}
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with (
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patch(
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"app.rcon_historical_player_stats._get_player_period_stats_read_model",
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return_value=(None, "player-period-stats-empty"),
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),
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patch(
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"app.rcon_historical_player_stats._get_rcon_materialized_player_stats_runtime",
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return_value=runtime_payload,
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) as runtime_loader,
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def test_player_stats_returns_lightweight_missing_payload_when_period_read_model_is_empty(self) -> None:
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with patch(
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"app.rcon_historical_player_stats._get_player_period_stats_read_model",
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return_value=(None, "player-period-stats-empty"),
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):
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result = get_rcon_materialized_player_stats(
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player_id="76561198000000000",
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timeframe="weekly",
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)
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runtime_loader.assert_called_once()
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self.assertTrue(result["source"]["fallback_used"])
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self.assertEqual(result["source"]["fallback_reason"], "player-period-stats-empty")
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self.assertEqual(result["source"]["freshness"], "runtime-fallback")
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self.assertEqual(result["matches_considered"], 0)
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self.assertEqual(result["kpm_status"], "missing_active_time")
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self.assertEqual(result["platform"], "steam")
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self.assertIn("steam", result["external_profile_links"])
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self.assertEqual(result["source"]["missing_reason"], "player-period-stats-empty")
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self.assertFalse(result["source"]["fallback_used"])
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def test_build_stats_player_profile_payload_exposes_ready_real_kpm_and_external_links(self) -> None:
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with patch(
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@@ -176,7 +176,11 @@ This avoids false `0.00` values for:
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## Personal Player Profile
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The public player profile in `stats.html` can now expose real KPM for the selected weekly or monthly window when the profile endpoint can aggregate:
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The public player profile in `stats.html` can now expose real KPM for the selected weekly or monthly window when the lightweight player-period read model already contains enough data for that player and scope.
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The profile endpoint does not use a runtime fallback over `rcon_match_player_stats` anymore for weekly/monthly public reads. That fallback was disabled because it could degrade public profile response times when the read model was empty or stale.
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When the read model is available, profile KPM uses:
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- `SUM(player_active_seconds)`
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- only over rows with:
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@@ -195,7 +199,7 @@ This is intentionally narrower than the window total:
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- profile `kills` still show all kills in the selected window
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- profile `KPM` only becomes `ready` when the active-time subset is reliable enough
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The profile payload now exposes:
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The profile payload exposes:
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- `player_active_seconds`
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- `player_active_minutes`
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@@ -204,7 +208,14 @@ The profile payload now exposes:
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- `active_time_source`
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- `active_time_coverage`
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If the profile read model is empty, the endpoint can safely fall back to runtime aggregation over `rcon_match_player_stats` for that single player and time window. This avoids inventing KPM while keeping the page usable before the read model is refreshed.
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If the profile read model is empty or unavailable:
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- the endpoint keeps the profile fast
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- `kpm` stays `null`
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- `kpm_status` stays `missing_active_time`
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- external links and profile identity fields remain available
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This keeps the page responsive without inventing KPM.
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## Kills Per Match Labels
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@@ -1783,18 +1783,24 @@ function formatHistoricalRatio(item, metricConfig, matches) {
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}
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function formatHistoricalPerMatch(rawDirectValue, rawTotalValue, rawMatches) {
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const directValue = Number(rawDirectValue);
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const directValue =
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rawDirectValue === null || rawDirectValue === undefined || rawDirectValue === ""
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? Number.NaN
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: Number(rawDirectValue);
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if (Number.isFinite(directValue)) {
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return formatDecimal(directValue, 2);
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}
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const kills = Number(rawTotalValue);
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const totalValue =
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rawTotalValue === null || rawTotalValue === undefined || rawTotalValue === ""
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? Number.NaN
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: Number(rawTotalValue);
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const matches = Number(rawMatches);
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if (!Number.isFinite(kills) || !Number.isFinite(matches) || matches <= 0) {
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return "-";
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if (!Number.isFinite(totalValue) || !Number.isFinite(matches) || matches <= 0) {
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return "";
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}
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return formatDecimal(kills / matches, 2);
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return formatDecimal(totalValue / matches, 2);
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}
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function formatDateOnly(timestamp) {
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