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Improve security summary format and usefulness
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parent
44828d5de9
commit
05ef72f3a5
@ -251,20 +251,22 @@ class ReviewDescriptionProcessor(PostProcessorApi):
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if not primary_segments:
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if not primary_segments:
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return "No concerns were found during this time period."
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return "No concerns were found during this time period."
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# For each primary segment, find overlapping contextual items from other cameras
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# Build hierarchical structure: each primary event with its contextual items
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all_items_for_summary = []
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events_with_context = []
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for primary_seg in primary_segments:
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for primary_seg in primary_segments:
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# Add the primary item with marker
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# Start building the primary event structure
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primary_item = copy.deepcopy(primary_seg["metadata"])
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primary_item = copy.deepcopy(primary_seg["metadata"])
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primary_item["_is_primary"] = True
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primary_item["camera"] = primary_seg["camera"]
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primary_item["_camera"] = primary_seg["camera"]
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primary_item["start_time"] = primary_seg["start_time"]
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all_items_for_summary.append(primary_item)
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primary_item["end_time"] = primary_seg["end_time"]
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# Find overlapping contextual items from other cameras
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# Find overlapping contextual items from other cameras
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primary_start = primary_seg["start_time"]
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primary_start = primary_seg["start_time"]
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primary_end = primary_seg["end_time"]
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primary_end = primary_seg["end_time"]
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primary_camera = primary_seg["camera"]
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primary_camera = primary_seg["camera"]
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contextual_items = []
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seen_contextual_cameras = set()
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for seg in segments:
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for seg in segments:
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seg_camera = seg["camera"]
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seg_camera = seg["camera"]
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@ -279,21 +281,25 @@ class ReviewDescriptionProcessor(PostProcessorApi):
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seg_end = seg["end_time"]
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seg_end = seg["end_time"]
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if seg_start < primary_end and primary_start < seg_end:
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if seg_start < primary_end and primary_start < seg_end:
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contextual_item = copy.deepcopy(seg["metadata"])
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# Avoid duplicates if same camera has multiple overlapping segments
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contextual_item["_is_primary"] = False
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if seg_camera not in seen_contextual_cameras:
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contextual_item["_camera"] = seg_camera
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contextual_item = copy.deepcopy(seg["metadata"])
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contextual_item["_related_to_camera"] = primary_camera
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contextual_item["camera"] = seg_camera
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contextual_item["start_time"] = seg_start
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contextual_item["end_time"] = seg_end
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contextual_items.append(contextual_item)
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seen_contextual_cameras.add(seg_camera)
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if not any(
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# Add context array to primary item
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item.get("_camera") == seg_camera
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primary_item["context"] = contextual_items
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and item.get("time") == contextual_item.get("time")
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events_with_context.append(primary_item)
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for item in all_items_for_summary
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):
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all_items_for_summary.append(contextual_item)
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total_context_items = sum(
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len(event.get("context", [])) for event in events_with_context
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)
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logger.debug(
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logger.debug(
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f"Summary includes {len(primary_segments)} primary items and "
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f"Summary includes {len(events_with_context)} primary events with "
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f"{len(all_items_for_summary) - len(primary_segments)} contextual items"
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f"{total_context_items} total contextual items"
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)
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)
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if self.config.review.genai.debug_save_thumbnails:
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if self.config.review.genai.debug_save_thumbnails:
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@ -304,7 +310,7 @@ class ReviewDescriptionProcessor(PostProcessorApi):
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return self.genai_client.generate_review_summary(
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return self.genai_client.generate_review_summary(
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start_ts,
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start_ts,
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end_ts,
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end_ts,
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all_items_for_summary,
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events_with_context,
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self.config.review.genai.debug_save_thumbnails,
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self.config.review.genai.debug_save_thumbnails,
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)
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)
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else:
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else:
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@ -177,78 +177,60 @@ Each line represents a detection state, not necessarily unique individuals. Pare
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self,
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self,
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start_ts: float,
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start_ts: float,
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end_ts: float,
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end_ts: float,
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segments: list[dict[str, Any]],
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events: list[dict[str, Any]],
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debug_save: bool,
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debug_save: bool,
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) -> str | None:
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) -> str | None:
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"""Generate a summary of review item descriptions over a period of time."""
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"""Generate a summary of review item descriptions over a period of time."""
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time_range = f"{datetime.datetime.fromtimestamp(start_ts).strftime('%B %d, %Y at %I:%M %p')} to {datetime.datetime.fromtimestamp(end_ts).strftime('%B %d, %Y at %I:%M %p')}"
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time_range = f"{datetime.datetime.fromtimestamp(start_ts).strftime('%B %d, %Y at %I:%M %p')} to {datetime.datetime.fromtimestamp(end_ts).strftime('%B %d, %Y at %I:%M %p')}"
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timeline_summary_prompt = f"""
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timeline_summary_prompt = f"""
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You are a security officer.
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You are a security officer writing a concise security report.
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Time range: {time_range}.
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Input: JSON list with "title", "scene", "confidence", "potential_threat_level" (0-2), "other_concerns", "_is_primary", "_camera".
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Task: Write a concise, human-presentable security report in markdown format.
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Time range: {time_range}
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CRITICAL - Understanding Primary vs Contextual Items:
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Input format: Each event is a JSON object with:
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- Items with "_is_primary": true are events that REQUIRE REVIEW and MUST be included in the report
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- "title", "scene", "confidence", "potential_threat_level" (0-2), "other_concerns", "camera", "time", "start_time", "end_time"
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- Items with "_is_primary": false are additional context from other camera perspectives that overlap in time
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- "context": array of related events from other cameras that occurred during overlapping time periods
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- **DO NOT create separate bullet points or sections for contextual items**
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- **ONLY use contextual items to enrich and inform the description of primary items**
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- The "_camera" field indicates which camera captured each event
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- **When a contextual item provides relevant background, you MUST incorporate it directly into the primary event's bullet point**
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- Contextual information often explains or de-escalates seemingly suspicious primary events
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Rules for the report:
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Report Structure - Use this EXACT format:
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- Title & overview
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# Security Summary - {time_range}
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- Start with:
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# Security Summary - {time_range}
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- Write a 1-2 sentence situational overview capturing the general pattern of the period.
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- Keep the overview high-level; specific details will be in the event bullets below.
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- Event details
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## Overview
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- **ONLY create bullet points for PRIMARY items (_is_primary: true)**
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[Write 1-2 sentences summarizing the overall activity pattern during this period.]
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- **Do NOT create sections or bullets for events that don't exist**
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- Do NOT create separate bullets for contextual items
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- Present primary events in chronological order as a bullet list.
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- **CRITICAL: When contextual items overlap with a primary event, you MUST weave that information directly into the same bullet point**
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- Format: **[Timestamp]** - [Description incorporating any contextual information]. [Camera info]. (threat level: X)
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- 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
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- If multiple PRIMARY events occur within the same minute, combine them into a single bullet with sub-points.
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- Use bold timestamps for clarity.
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- Camera format: "Camera: [camera name]" or mention contextual cameras inline when relevant
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- Group bullets under subheadings ONLY when you have actual PRIMARY events to list (e.g., Porch Activity, Unusual Behavior).
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- Threat levels
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---
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- Show the threat level for PRIMARY events using these labels:
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- Threat level 0: "Normal"
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- Threat level 1: "Needs review"
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- Threat level 2: "Security concern"
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- Format as (threat level: Normal), (threat level: Needs review), or (threat level: Security concern).
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- **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**
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- **Your description and tone should reflect the fuller understanding provided by contextual information**
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- 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
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- The stored threat level remains as originally classified, but your narrative should reflect the contextual understanding
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- If multiple PRIMARY events at the same time share the same threat level, only state it once.
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- Final assessment
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## Timeline
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- End with a Final Assessment section.
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- If all primary events are threat level 0 or explained by contextual items:
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Final assessment: Only normal residential activity observed during this period.
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- If threat level 1 events are present:
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Final assessment: Some activity requires review but no security concerns identified.
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- If threat level 2 events are present, clearly summarize them as Security concerns requiring immediate attention.
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- Keep this section brief - do not repeat details from the event descriptions above.
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- Conciseness
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[Group events by time periods (e.g., "Morning (6:00 AM - 12:00 PM)", "Afternoon (12:00 PM - 5:00 PM)", "Evening (5:00 PM - 9:00 PM)", "Night (9:00 PM - 6:00 AM)"). Use appropriate time blocks based on when events occurred.]
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- Do not repeat benign clothing/appearance details unless they distinguish individuals.
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- Summarize similar routine events instead of restating full scene descriptions.
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### [Time Block Name]
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- When incorporating contextual information, do so briefly and naturally within the primary event description.
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- Avoid lengthy explanatory notes - integrate context seamlessly into the narrative.
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**HH:MM AM/PM** | [Camera Name] | [Threat Level Indicator]
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- [Event title]: [Clear description incorporating contextual information from the "context" array]
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- Context: [If context array has items, mention them here, e.g., "Delivery truck present on Front Driveway Cam (HH:MM AM/PM)"]
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- Assessment: [Brief assessment incorporating context - if context explains the event, note it here]
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[Repeat for each event in chronological order within the time block]
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---
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## Summary
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[One sentence summarizing the period. If all events are normal/explained: "Routine activity observed." If review needed: "Some activity requires review but no security concerns." If security concerns: "Security concerns requiring immediate attention."]
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Guidelines:
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- List ALL events in chronological order, grouped by time blocks
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- Threat level indicators: ✓ Normal, ⚠️ Needs review, 🔴 Security concern
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- Integrate contextual information naturally - use the "context" array to enrich each event's description
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- If context explains the event (e.g., delivery truck explains person at door), describe it accordingly (e.g., "delivery person" not "unidentified person")
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- Be concise but informative - focus on what happened and what it means
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- If contextual information makes an event clearly normal, reflect that in your assessment
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- Only create time blocks that have events - don't create empty sections
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"""
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"""
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for item in segments:
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timeline_summary_prompt += "\n\nEvents:\n"
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timeline_summary_prompt += f"\n{item}"
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for event in events:
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timeline_summary_prompt += f"\n{event}\n"
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if debug_save:
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if debug_save:
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with open(
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with open(
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