Raise daily recommendation limit cap

Author: chengtan9907

deployments/desktop/static/desktop.js

@@ -2141,7 +2141,7 @@
   function configuredDailyLimit() {
     const value = Number($("dailyLimitInput")?.value || state.settings?.advanced?.daily_limit || 30);
     if (!Number.isFinite(value)) return 30;
-    return Math.max(1, Math.min(500, Math.round(value)));
+    return Math.max(1, Math.min(1000, Math.round(value)));
   }
 
   function collectDailyOptions() {

deployments/desktop/static/index.html

@@ -436,7 +436,7 @@ <h2>存储与导出</h2>
                 <span>5</span>
                 <h2>高级参数</h2>
               </div>
-              <label class="advanced-row">每日推荐上限 <input id="dailyLimitInput" type="number" min="1" max="500" value="30"></label>
+              <label class="advanced-row">每日推荐上限 <input id="dailyLimitInput" type="number" min="1" max="1000" value="30"></label>
               <label class="advanced-row">相关性阈值 <input id="relevanceThreshold" type="range" min="0" max="100" value="60"><span id="relevanceValue">60</span></label>
               <label class="advanced-row">HTTP Proxy <input id="proxyInput" placeholder="http://127.0.0.1:7890"></label>
               <div class="button-row">

deployments/feishu/daily-push-agent/main.py

@@ -454,7 +454,7 @@ def apply_relevance_threshold_override(weights: Dict) -> Dict:
     raw_daily_limit = str(os.environ.get("PAPERFLOW_DAILY_LIMIT", "") or "").strip()
     if raw_daily_limit:
         try:
-            daily_limit = max(1, min(500, int(float(raw_daily_limit))))
+            daily_limit = max(1, min(1000, int(float(raw_daily_limit))))
         except ValueError:
             daily_limit = None
         if daily_limit is not None:
@@ -1667,7 +1667,7 @@ def daily_push(
     # 2. 加载权重配置
     weights = load_scoring_weights()
     if push_limit is not None:
-        resolved_push_limit = max(1, min(500, int(push_limit)))
+        resolved_push_limit = max(1, min(1000, int(push_limit)))
         weights["push_target_count"] = resolved_push_limit
         weights["push_max_count"] = resolved_push_limit
         weights["paperflow_daily_limit"] = resolved_push_limit

tests/test_desktop_gui.py

@@ -1506,7 +1506,7 @@ def test_desktop_relevance_threshold_changes_daily_push_weights(monkeypatch: pyt
     monkeypatch.setenv("PAPERFLOW_RELEVANCE_THRESHOLD", "30")
     monkeypatch.setenv("PAPERFLOW_DAILY_LIMIT", "8")
     relaxed = agents.daily_agent.apply_relevance_threshold_override(base)
-    monkeypatch.setenv("PAPERFLOW_DAILY_LIMIT", "600")
+    monkeypatch.setenv("PAPERFLOW_DAILY_LIMIT", "1200")
     capped = agents.daily_agent.apply_relevance_threshold_override(base)
 
     assert strict["threshold_edge_relevant"] > base["threshold_edge_relevant"]
@@ -1515,8 +1515,8 @@ def test_desktop_relevance_threshold_changes_daily_push_weights(monkeypatch: pyt
     assert strict["push_target_count"] == 12
     assert strict["push_max_count"] == 12
     assert relaxed["push_target_count"] == 8
-    assert capped["push_target_count"] == 500
-    assert capped["push_max_count"] == 500
+    assert capped["push_target_count"] == 1000
+    assert capped["push_max_count"] == 1000
 
 
 def test_daily_push_custom_rss_fetcher_builds_paper_cards(monkeypatch: pytest.MonkeyPatch) -> None:
@@ -1651,8 +1651,8 @@ def test_desktop_source_settings_explain_conference_auth() -> None:
     assert "state.settings = data || {}" in script
     assert "syncDailySourceControls(sourcePrefs)" in script
     assert "limit_per_source: configuredDailyLimit()" in script
-    assert 'id="dailyLimitInput" type="number" min="1" max="500" value="30"' in html
-    assert "Math.min(500, Math.round(value))" in script
+    assert 'id="dailyLimitInput" type="number" min="1" max="1000" value="30"' in html
+    assert "Math.min(1000, Math.round(value))" in script
     assert "PAPERFLOW_LLM_MODEL" in script
     assert "PAPERFLOW_FALLBACK_LLM_MODEL" in script
     assert 'input?.dataset.envKey === "PAPERFLOW_LLM_MODEL"' not in script