blakeblackshear.frigate/frigate/embeddings/embeddings.py

164 lines
5.1 KiB
Python

"""ChromaDB embeddings database."""
import base64
import io
import logging
import sys
import time
import numpy as np
from PIL import Image
from playhouse.shortcuts import model_to_dict
from frigate.models import Event
# Squelch posthog logging
logging.getLogger("chromadb.telemetry.product.posthog").setLevel(logging.CRITICAL)
# Hotsawp the sqlite3 module for Chroma compatibility
try:
from chromadb import Collection
from chromadb import HttpClient as ChromaClient
from chromadb.config import Settings
from .functions.clip import ClipEmbedding
from .functions.minilm_l6_v2 import MiniLMEmbedding
except RuntimeError:
__import__("pysqlite3")
sys.modules["sqlite3"] = sys.modules.pop("pysqlite3")
from chromadb import Collection
from chromadb import HttpClient as ChromaClient
from chromadb.config import Settings
from .functions.clip import ClipEmbedding
from .functions.minilm_l6_v2 import MiniLMEmbedding
logger = logging.getLogger(__name__)
def get_metadata(event: Event) -> dict:
"""Extract valid event metadata."""
event_dict = model_to_dict(event)
return (
{
k: v
for k, v in event_dict.items()
if k not in ["id", "thumbnail"]
and v is not None
and isinstance(v, (str, int, float, bool))
}
| {
k: v
for k, v in event_dict["data"].items()
if k not in ["description"]
and v is not None
and isinstance(v, (str, int, float, bool))
}
| {
# Metadata search doesn't support $contains
# and an event can have multiple zones, so
# we need to create a key for each zone
f"{k}_{x}": True
for k, v in event_dict.items()
if isinstance(v, list) and len(v) > 0
for x in v
if isinstance(x, str)
}
)
class Embeddings:
"""ChromaDB embeddings database."""
def __init__(self) -> None:
self.client: ChromaClient = ChromaClient(
host="127.0.0.1",
settings=Settings(anonymized_telemetry=False),
)
@property
def thumbnail(self) -> Collection:
return self.client.get_or_create_collection(
name="event_thumbnail", embedding_function=ClipEmbedding()
)
@property
def description(self) -> Collection:
return self.client.get_or_create_collection(
name="event_description", embedding_function=MiniLMEmbedding()
)
def reindex(self) -> None:
"""Reindex all event embeddings."""
logger.info("Indexing event embeddings...")
self.client.reset()
st = time.time()
totals = {
"thumb": 0,
"desc": 0,
}
batch_size = 100
current_page = 1
events = (
Event.select()
.where(
(Event.has_clip == True | Event.has_snapshot == True)
& Event.thumbnail.is_null(False)
)
.order_by(Event.start_time.desc())
.paginate(current_page, batch_size)
)
while len(events) > 0:
thumbnails = {"ids": [], "images": [], "metadatas": []}
descriptions = {"ids": [], "documents": [], "metadatas": []}
event: Event
for event in events:
metadata = get_metadata(event)
thumbnail = base64.b64decode(event.thumbnail)
img = np.array(Image.open(io.BytesIO(thumbnail)).convert("RGB"))
thumbnails["ids"].append(event.id)
thumbnails["images"].append(img)
thumbnails["metadatas"].append(metadata)
if event.data.get("description") is not None:
descriptions["ids"].append(event.id)
descriptions["documents"].append(event.data["description"])
descriptions["metadatas"].append(metadata)
if len(thumbnails["ids"]) > 0:
totals["thumb"] += len(thumbnails["ids"])
self.thumbnail.upsert(
images=thumbnails["images"],
metadatas=thumbnails["metadatas"],
ids=thumbnails["ids"],
)
if len(descriptions["ids"]) > 0:
totals["desc"] += len(descriptions["ids"])
self.description.upsert(
documents=descriptions["documents"],
metadatas=descriptions["metadatas"],
ids=descriptions["ids"],
)
current_page += 1
events = (
Event.select()
.where(
(Event.has_clip == True | Event.has_snapshot == True)
& Event.thumbnail.is_null(False)
)
.order_by(Event.start_time.desc())
.paginate(current_page, batch_size)
)
logger.info(
"Embedded %d thumbnails and %d descriptions in %s seconds",
totals["thumb"],
totals["desc"],
time.time() - st,
)