fix: Resolve deadlock and attribute error in embedding maintainer initialization

Updates the trigger embedding calculation to call embedding methods directly instead of using ZMQ. This prevents a deadlock during initialization where the ZMQ responder is not yet polling for requests.

Also updates sync_triggers to pass the camera name and trigger name to the calculation method, fixing an AttributeError where trigger.name was accessed on a TriggerConfig object.
This commit is contained in:
user 2025-12-11 14:03:56 -05:00
parent 9cdc10008d
commit 6407e4ba55

View File

@ -12,9 +12,6 @@ from peewee import DoesNotExist, IntegrityError
from PIL import Image from PIL import Image
from playhouse.shortcuts import model_to_dict from playhouse.shortcuts import model_to_dict
from frigate.comms.embeddings_updater import (
EmbeddingsRequestEnum,
)
from frigate.comms.inter_process import InterProcessRequestor from frigate.comms.inter_process import InterProcessRequestor
from frigate.config import FrigateConfig from frigate.config import FrigateConfig
from frigate.config.classification import SemanticSearchModelEnum from frigate.config.classification import SemanticSearchModelEnum
@ -495,7 +492,7 @@ class Embeddings:
or thumbnail_missing or thumbnail_missing
): ):
existing_trigger.embedding = self._calculate_trigger_embedding( existing_trigger.embedding = self._calculate_trigger_embedding(
trigger trigger, trigger_name, camera.name
) )
needs_embedding_update = True needs_embedding_update = True
@ -532,7 +529,7 @@ class Embeddings:
) )
# Calculate embedding for new trigger # Calculate embedding for new trigger
embedding = self._calculate_trigger_embedding(trigger) embedding = self._calculate_trigger_embedding(trigger, trigger_name, camera.name)
Trigger.create( Trigger.create(
camera=camera.name, camera=camera.name,
@ -588,13 +585,12 @@ class Embeddings:
f"Failed to delete thumbnail for trigger with data {event_id} in {camera}: {e}" f"Failed to delete thumbnail for trigger with data {event_id} in {camera}: {e}"
) )
def _calculate_trigger_embedding(self, trigger) -> bytes: def _calculate_trigger_embedding(self, trigger, trigger_name: str, camera_name: str) -> bytes:
"""Calculate embedding for a trigger based on its type and data.""" """Calculate embedding for a trigger based on its type and data."""
if trigger.type == "description": if trigger.type == "description":
logger.debug(f"Generating embedding for trigger description {trigger.name}") logger.debug(f"Generating embedding for trigger description {trigger_name}")
embedding = self.requestor.send_data( embedding = self.embed_description(
EmbeddingsRequestEnum.embed_description.value, None, trigger.data, upsert=False
{"id": None, "description": trigger.data, "upsert": False},
) )
return embedding.astype(np.float32).tobytes() return embedding.astype(np.float32).tobytes()
@ -616,27 +612,22 @@ class Embeddings:
try: try:
with open( with open(
os.path.join( os.path.join(
TRIGGER_DIR, trigger.camera, f"{trigger.data}.webp" TRIGGER_DIR, camera_name, f"{trigger.data}.webp"
), ),
"rb", "rb",
) as f: ) as f:
thumbnail = f.read() thumbnail = f.read()
except Exception as e: except Exception as e:
logger.error( logger.error(
f"Failed to read thumbnail for trigger {trigger.name} with ID {trigger.data}: {e}" f"Failed to read thumbnail for trigger {trigger_name} with ID {trigger.data}: {e}"
) )
return b"" return b""
logger.debug( logger.debug(
f"Generating embedding for trigger thumbnail {trigger.name} with ID {trigger.data}" f"Generating embedding for trigger thumbnail {trigger_name} with ID {trigger.data}"
) )
embedding = self.requestor.send_data( embedding = self.embed_thumbnail(
EmbeddingsRequestEnum.embed_thumbnail.value, str(trigger.data), thumbnail, upsert=False
{
"id": str(trigger.data),
"thumbnail": str(thumbnail),
"upsert": False,
},
) )
return embedding.astype(np.float32).tobytes() return embedding.astype(np.float32).tobytes()