Miscellaneous fixes (#21141)

* Remove source_type from API

* Don't require state classification models to select all classes

* Specifically validate provided end_time for manual events

* Remove yolov9 specification for warning

* Remove warning for coral

* clarify zone name tip

* clarify replace rules in lpr docs

* remove periods

* Add explanation for review report

* adjust HLS gap controller params

defaults to false, should help to recover from hangs and stalling in tracking details videos on chrome

* only redirect to login page once on 401

attempt to fix ios pwa safari redirect storm

* Use contextual information from other cameras to inform report summary

* Formatting and prompt improvements for review summary report

* More improvements to prompt

* Remove examples

* Don't show admin action buttons on export card

* fix redirect race condition

Coordinate 401 redirect logic between ApiProvider and ProtectedRoute using a shared flag to prevent multiple simultaneous redirects that caused UI flashing. Ensure both auth error paths check and set the redirect flag before navigating to login, eliminating race conditions where both mechanisms could trigger at once

---------

Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
This commit is contained in:
Nicolas Mowen
2025-12-04 12:19:07 -06:00
committed by GitHub
parent 9ab78f496c
commit c136e5e8bd
17 changed files with 798 additions and 677 deletions

View File

@@ -209,10 +209,22 @@ class ReviewDescriptionProcessor(PostProcessorApi):
logger.debug(
f"Found GenAI Review Summary request for {start_ts} to {end_ts}"
)
items: list[dict[str, Any]] = [
r["data"]["metadata"]
# 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"],
}
for r in (
ReviewSegment.select(ReviewSegment.data)
ReviewSegment.select(
ReviewSegment.camera,
ReviewSegment.start_time,
ReviewSegment.end_time,
ReviewSegment.data,
)
.where(
(ReviewSegment.data["metadata"].is_null(False))
& (ReviewSegment.start_time < end_ts)
@@ -224,21 +236,66 @@ class ReviewDescriptionProcessor(PostProcessorApi):
)
]
if len(items) == 0:
if len(segments) == 0:
logger.debug("No review items with metadata found during time period")
return "No activity was found during this time."
return "No activity was found during this time period."
important_items = list(
filter(
lambda item: item.get("potential_threat_level", 0) > 0
or item.get("other_concerns"),
items,
)
)
# 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 important_items:
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"
)
if self.config.review.genai.debug_save_thumbnails:
Path(
os.path.join(CLIPS_DIR, "genai-requests", f"{start_ts}-{end_ts}")
@@ -247,7 +304,7 @@ class ReviewDescriptionProcessor(PostProcessorApi):
return self.genai_client.generate_review_summary(
start_ts,
end_ts,
important_items,
all_items_for_summary,
self.config.review.genai.debug_save_thumbnails,
)
else: