Files
winnow/winnow/frigate_api.py
T
flanandClaude Sonnet 4.6 e67f2d9638 refactor: cleanup audit findings — dedup helpers, prune orphan scores, cache has_frigate_scores
- upload_tracker: extract _pick_mapped_file() private helper; get_lowest_quality_mapped_file
  and get_most_redundant_mapped_file are now one-liners over the same body
- upload_tracker: remove_frigate_file now also prunes the corresponding frigate_scores entry,
  preventing unbounded accumulation of orphaned score entries across replacement cycles
- frigate_api: get_frigate_face_counts delegates to get_all_frigate_person_files, eliminating
  the duplicated "name != 'train' and isinstance(files, list)" filter body
- executor: cache has_frigate_scores(name) as person_has_fscores before the per-file loop;
  refresh it after each remove_frigate_file call and after each scored upload, eliminating
  two redundant disk reads per at-cap file iteration
- executor: casefold() both sides of the recognize_face person-name comparison so a Frigate
  casing normalization or manual-registration casing mismatch does not silently suppress scoring

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 18:55:18 +00:00

130 lines
4.6 KiB
Python

"""Frigate API helpers for querying face training state."""
import logging
import os
import requests
logger = logging.getLogger(__name__)
def _get_faces_data() -> dict | None:
"""Fetch raw GET /api/faces response. Returns None if unavailable."""
frigate_url = os.environ.get("FRIGATE_URL", "").rstrip("/")
if not frigate_url:
return None
try:
resp = requests.get(f"{frigate_url}/api/faces", timeout=10)
resp.raise_for_status()
return resp.json()
except Exception as e:
logger.warning(f"Could not query Frigate faces API: {e}")
return None
def get_all_frigate_person_files() -> dict[str, list[str]] | None:
"""Return {person_name: [filename, ...]} for every person in Frigate.
Single call used to build per-person snapshots before the upload loop,
avoiding one GET /api/faces per person. Returns None if unavailable.
"""
data = _get_faces_data()
if data is None:
return None
# Response: {person_name: [file, ...], "train": [...], ...}
# "train" is a flat pending list, not a person — skip it.
return {
name: files
for name, files in data.items()
if name != "train" and isinstance(files, list)
}
def get_frigate_face_counts() -> dict[str, int] | None:
"""Return {person_name: training_image_count} from Frigate's train directory.
Returns None if FRIGATE_URL is not set or the API is unreachable, so callers
can distinguish "API unavailable" from "person has 0 images."
"""
all_files = get_all_frigate_person_files()
if all_files is None:
return None
return {name: len(files) for name, files in all_files.items()}
def get_frigate_person_files(person_name: str) -> list[str] | None:
"""Return the list of training filenames for a person in Frigate.
Returns None if the API is unreachable. Returns an empty list if the
person exists but has no training images yet.
"""
data = _get_faces_data()
if data is None:
return None
files = data.get(person_name)
return files if isinstance(files, list) else []
def recognize_face(file_path: str) -> tuple[str | None, float] | None:
"""Submit an image to Frigate's recognize endpoint.
Returns (face_name, score) where face_name is the best-matching person
(may be "unknown" if below Frigate's confidence threshold) and score is
the sigmoid-mapped cosine similarity (0-1) against that person's mean
embedding.
Returns None if FRIGATE_URL is unset, the API is unreachable, no face is
detected, or face recognition is not enabled in Frigate.
"""
frigate_url = os.environ.get("FRIGATE_URL", "").rstrip("/")
if not frigate_url:
return None
try:
with open(file_path, "rb") as f:
resp = requests.post(
f"{frigate_url}/api/faces/recognize",
files={"file": (os.path.basename(file_path), f, "image/jpeg")},
timeout=15,
)
if not resp.ok:
return None
data = resp.json()
if data.get("success") and "score" in data:
return (data.get("face_name"), round(float(data["score"]), 4))
return None
except Exception as e:
logger.debug(f"Frigate recognize failed for {file_path}: {e}")
return None
def delete_frigate_person_files(person_name: str, filenames: list[str]) -> bool:
"""Delete specific training files for a person from Frigate.
Uses POST /api/faces/{name}/delete with body {"ids": [filename, ...]}.
Returns True on success, False if unreachable or the request fails.
"""
frigate_url = os.environ.get("FRIGATE_URL", "").rstrip("/")
if not frigate_url or not filenames:
return False
from urllib.parse import quote
encoded = quote(person_name, safe="")
try:
resp = requests.post(
f"{frigate_url}/api/faces/{encoded}/delete",
json={"ids": filenames},
timeout=10,
)
if resp.ok:
logger.debug(f"Deleted {len(filenames)} Frigate file(s) for {person_name}")
return True
if resp.status_code == 404:
# File already absent — stale tracker entry. Return True so the caller
# removes it from the tracker and frees the slot cleanly.
logger.warning(f"Frigate file(s) not found for {person_name} (stale tracker entry?): {filenames}")
return True
logger.warning(f"Frigate delete returned {resp.status_code} for {person_name}")
return False
except Exception as e:
logger.warning(f"Failed to delete Frigate files for {person_name}: {e}")
return False