frigate/data_processing/post/review_descriptions.py

@@ -209,22 +209,10 @@ class ReviewDescriptionProcessor(PostProcessorApi):
             logger.debug(
                 f"Found GenAI Review Summary request for {start_ts} to {end_ts}"
             )
-
-            # Query all review segments with camera and time information
-            segments: list[dict[str, Any]] = [
-                {
-                    "camera": r["camera"].replace("_", " ").title(),
-                    "start_time": r["start_time"],
-                    "end_time": r["end_time"],
-                    "metadata": r["data"]["metadata"],
-                }
+            items: list[dict[str, Any]] = [
+                r["data"]["metadata"]
                 for r in (
-                    ReviewSegment.select(
-                        ReviewSegment.camera,
-                        ReviewSegment.start_time,
-                        ReviewSegment.end_time,
-                        ReviewSegment.data,
-                    )
+                    ReviewSegment.select(ReviewSegment.data)
                     .where(
                         (ReviewSegment.data["metadata"].is_null(False))
                         & (ReviewSegment.start_time < end_ts)
@@ -236,65 +224,20 @@ class ReviewDescriptionProcessor(PostProcessorApi):
                 )
             ]
 
-            if len(segments) == 0:
+            if len(items) == 0:
                 logger.debug("No review items with metadata found during time period")
-                return "No activity was found during this time period."
+                return "No activity was found during this time."
 
-            # Identify primary items (important items that need review)
-            primary_segments = [
-                seg
-                for seg in segments
-                if seg["metadata"].get("potential_threat_level", 0) > 0
-                or seg["metadata"].get("other_concerns")
-            ]
-
-            if not primary_segments:
-                return "No concerns were found during this time period."
-
-            # For each primary segment, find overlapping contextual items from other cameras
-            all_items_for_summary = []
-
-            for primary_seg in primary_segments:
-                # Add the primary item with marker
-                primary_item = copy.deepcopy(primary_seg["metadata"])
-                primary_item["_is_primary"] = True
-                primary_item["_camera"] = primary_seg["camera"]
-                all_items_for_summary.append(primary_item)
-
-                # Find overlapping contextual items from other cameras
-                primary_start = primary_seg["start_time"]
-                primary_end = primary_seg["end_time"]
-                primary_camera = primary_seg["camera"]
-
-                for seg in segments:
-                    seg_camera = seg["camera"]
-
-                    if seg_camera == primary_camera:
-                        continue
-
-                    if seg in primary_segments:
-                        continue
-
-                    seg_start = seg["start_time"]
-                    seg_end = seg["end_time"]
-
-                    if seg_start < primary_end and primary_start < seg_end:
-                        contextual_item = copy.deepcopy(seg["metadata"])
-                        contextual_item["_is_primary"] = False
-                        contextual_item["_camera"] = seg_camera
-                        contextual_item["_related_to_camera"] = primary_camera
-
-                        if not any(
-                            item.get("_camera") == seg_camera
-                            and item.get("time") == contextual_item.get("time")
-                            for item in all_items_for_summary
-                        ):
-                            all_items_for_summary.append(contextual_item)
-
-            logger.debug(
-                f"Summary includes {len(primary_segments)} primary items and "
-                f"{len(all_items_for_summary) - len(primary_segments)} contextual items"
+            important_items = list(
+                filter(
+                    lambda item: item.get("potential_threat_level", 0) > 0
+                    or item.get("other_concerns"),
+                    items,
                 )
+            )
+
+            if not important_items:
+                return "No concerns were found during this time period."
 
             if self.config.review.genai.debug_save_thumbnails:
                 Path(
@@ -304,7 +247,7 @@ class ReviewDescriptionProcessor(PostProcessorApi):
             return self.genai_client.generate_review_summary(
                 start_ts,
                 end_ts,
-                all_items_for_summary,
+                important_items,
                 self.config.review.genai.debug_save_thumbnails,
             )
         else:

frigate/genai/__init__.py

@@ -185,66 +185,44 @@ Each line represents a detection state, not necessarily unique individuals. Pare
         timeline_summary_prompt = f"""
 You are a security officer.
 Time range: {time_range}.
-Input: JSON list with "title", "scene", "confidence", "potential_threat_level" (0-2), "other_concerns", "_is_primary", "_camera".
+Input: JSON list with "title", "scene", "confidence", "potential_threat_level" (1-2), "other_concerns".
 
 Task: Write a concise, human-presentable security report in markdown format.
 
-CRITICAL - Understanding Primary vs Contextual Items:
-- Items with "_is_primary": true are events that REQUIRE REVIEW and MUST be included in the report
-- Items with "_is_primary": false are additional context from other camera perspectives that overlap in time
-- **DO NOT create separate bullet points or sections for contextual items**
-- **ONLY use contextual items to enrich and inform the description of primary items**
-- The "_camera" field indicates which camera captured each event
-- **When a contextual item provides relevant background, you MUST incorporate it directly into the primary event's bullet point**
-- Contextual information often explains or de-escalates seemingly suspicious primary events
-
 Rules for the report:
 
 - Title & overview
   - Start with:
     # Security Summary - {time_range}
   - Write a 1-2 sentence situational overview capturing the general pattern of the period.
-  - Keep the overview high-level; specific details will be in the event bullets below.
 
 - Event details
-  - **ONLY create bullet points for PRIMARY items (_is_primary: true)**
-  - **Do NOT create sections or bullets for events that don't exist**
-  - Do NOT create separate bullets for contextual items
-  - Present primary events in chronological order as a bullet list.
-  - **CRITICAL: When contextual items overlap with a primary event, you MUST weave that information directly into the same bullet point**
-  - Format: **[Timestamp]** - [Description incorporating any contextual information]. [Camera info]. (threat level: X)
-  - If contextual information provides an explanation (e.g., delivery truck → person is likely delivery driver), reflect this understanding in your description and potentially adjust the perceived threat level
-  - If multiple PRIMARY events occur within the same minute, combine them into a single bullet with sub-points.
+  - Present events in chronological order as a bullet list.
+  - **If multiple events occur within the same minute or overlapping time range, COMBINE them into a single bullet.**
+    - Summarize the distinct activities as sub-points under the shared timestamp.
+  - If no timestamp is given, preserve order but label as “Time not specified.”
   - Use bold timestamps for clarity.
-  - Camera format: "Camera: [camera name]" or mention contextual cameras inline when relevant
-  - Group bullets under subheadings ONLY when you have actual PRIMARY events to list (e.g., Porch Activity, Unusual Behavior).
+  - Group bullets under subheadings when multiple events fall into the same category (e.g., Vehicle Activity, Porch Activity, Unusual Behavior).
 
 - Threat levels
-  - Show the threat level for PRIMARY events using these labels:
+  - Always show the threat level for each event using these labels:
     - Threat level 0: "Normal"
     - Threat level 1: "Needs review"
     - Threat level 2: "Security concern"
   - Format as (threat level: Normal), (threat level: Needs review), or (threat level: Security concern).
-  - **When contextual items clearly explain a primary event (e.g., delivery truck explains person at door), you should describe it as normal activity and note the explanation**
-  - **Your description and tone should reflect the fuller understanding provided by contextual information**
-  - Example: Primary event says "unidentified person with face covering" but context shows delivery truck → describe as "delivery person (truck visible on Front Driveway Cam)" rather than emphasizing suspicious elements
-  - The stored threat level remains as originally classified, but your narrative should reflect the contextual understanding
-  - If multiple PRIMARY events at the same time share the same threat level, only state it once.
+  - If multiple events at the same time share the same threat level, only state it once.
 
 - Final assessment
   - End with a Final Assessment section.
-  - If all primary events are threat level 0 or explained by contextual items:
+  - If all events are threat level 0:
     Final assessment: Only normal residential activity observed during this period.
   - If threat level 1 events are present:
     Final assessment: Some activity requires review but no security concerns identified.
   - If threat level 2 events are present, clearly summarize them as Security concerns requiring immediate attention.
-  - Keep this section brief - do not repeat details from the event descriptions above.
 
 - Conciseness
   - Do not repeat benign clothing/appearance details unless they distinguish individuals.
   - Summarize similar routine events instead of restating full scene descriptions.
-  - When incorporating contextual information, do so briefly and naturally within the primary event description.
-  - Avoid lengthy explanatory notes - integrate context seamlessly into the narrative.
 """
 
         for item in segments:

web/src/components/card/ExportCard.tsx

@@ -23,7 +23,6 @@ import { useTranslation } from "react-i18next";
 import { ImageShadowOverlay } from "../overlay/ImageShadowOverlay";
 import BlurredIconButton from "../button/BlurredIconButton";
 import { Tooltip, TooltipContent, TooltipTrigger } from "../ui/tooltip";
-import { useIsAdmin } from "@/hooks/use-is-admin";
 
 type ExportProps = {
   className: string;
@@ -41,7 +40,6 @@ export default function ExportCard({
   onDelete,
 }: ExportProps) {
   const { t } = useTranslation(["views/exports"]);
-  const isAdmin = useIsAdmin();
   const [hovered, setHovered] = useState(false);
   const [loading, setLoading] = useState(
     exportedRecording.thumb_path.length > 0,
@@ -197,7 +195,7 @@ export default function ExportCard({
                     </Tooltip>
                   </a>
                 )}
-                {isAdmin && !exportedRecording.in_progress && (
+                {!exportedRecording.in_progress && (
                   <Tooltip>
                     <TooltipTrigger asChild>
                       <BlurredIconButton
@@ -214,7 +212,6 @@ export default function ExportCard({
                     <TooltipContent>{t("tooltip.editName")}</TooltipContent>
                   </Tooltip>
                 )}
-                {isAdmin && (
                 <Tooltip>
                   <TooltipTrigger asChild>
                     <BlurredIconButton
@@ -230,7 +227,6 @@ export default function ExportCard({
                   </TooltipTrigger>
                   <TooltipContent>{t("tooltip.deleteExport")}</TooltipContent>
                 </Tooltip>
-                )}
               </div>
             </div>