Improvements and notebooks
This commit is contained in:
parent
84f8456fff
commit
f6b0ba5754
34 changed files with 2668 additions and 1373 deletions
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@ -12,6 +12,7 @@ sys.path.append(str(Path(__file__).parent / "lib"))
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from immich import ImmichClient, get_random_photo_of_people, get_random_photo_from_album
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from homeassistant import HomeAssistantClient
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from overlay import format_age, format_location
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from crop import face_aware_crop
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# waveshare_epd is imported lazily after the lock — its epdconfig claims
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# GPIO pins at import time, so two overlapping invocations would both crash
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# on "GPIO busy" before reaching the flock below.
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@ -21,7 +22,7 @@ IMMICH_API_KEY = os.environ.get("IMMICH_API_KEY", "REDACTED_IMMICH_API_KEY")
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HA_URL = os.environ.get("HA_URL", "https://homeassistant.example.com")
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HA_TOKEN = os.environ.get("HA_TOKEN", "REDACTED_HA_TOKEN")
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HA_PRESENCE_ENTITIES = ["person.andras", "person.ruby"]
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HA_PRESENCE = {"Andras": "person.andras", "Ruby": "person.ruby"}
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def main() -> None:
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@ -47,12 +48,12 @@ def main() -> None:
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now = datetime.now()
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print(f"Time: {now.strftime('%H:%M')}")
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if 0 <= now.hour < 7:
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if now.hour < 7:
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print("Night time, skipping")
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sys.exit(0)
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ha = HomeAssistantClient(HA_URL, HA_TOKEN)
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home = [e.split(".")[-1].title() for e in HA_PRESENCE_ENTITIES if ha.is_person_home(e)]
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home = [name for name, eid in HA_PRESENCE.items() if ha.is_person_home(eid)]
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if not home:
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print("No one home, skipping")
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sys.exit(0)
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@ -77,6 +78,10 @@ def main() -> None:
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try:
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epd.init()
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img = Image.open(image_path).convert("RGB")
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faces = client.get_asset_faces(asset["id"])
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print(f"Faces: {len(faces)}")
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target_w, target_h = (480, 800) if args.orientation in (90, 270) else (800, 480)
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img = face_aware_crop(img, target_w, target_h, faces)
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if args.orientation:
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img = img.rotate(args.orientation, expand=True)
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buf = epd.getbuffer(img, saturation=args.saturation, contrast=args.contrast,
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69
src/lib/crop.py
Normal file
69
src/lib/crop.py
Normal file
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@ -0,0 +1,69 @@
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"""Resize-to-cover then crop, biased toward Immich-detected face boxes."""
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import math
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from PIL import Image
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# Face boxes end at the hairline; extend each box upward by this fraction of
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# its own height so the fit-check considers the head, not just the face.
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HEAD_EXTENSION = 0.4
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def face_aware_crop(image: Image.Image, target_w: int, target_h: int,
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faces: list[dict]) -> Image.Image:
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"""Resize to cover (target_w, target_h), then crop to keep faces in frame.
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Each face dict has imageWidth/imageHeight (the coord-space dims) and
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boundingBoxX1/Y1/X2/Y2. Per axis: if every (head-extended) face fits in
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the crop we centre on the joint span so all faces are included with hair
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clearance on top. If the span doesn't fit, we fall back to the
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area-weighted centroid of the unextended boxes — that biases toward the
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biggest, presumably foreground, face. Plain center crop when no faces.
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"""
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img_w, img_h = image.size
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img_aspect = img_w / img_h
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target_aspect = target_w / target_h
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if img_aspect < target_aspect:
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new_w = target_w
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new_h = math.ceil(target_w / img_aspect)
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else:
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new_w = math.ceil(target_h * img_aspect)
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new_h = target_h
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resized = image.resize((new_w, new_h), Image.LANCZOS)
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cx, cy = new_w / 2, new_h / 2
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if faces:
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boxes = []
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for f in faces:
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sx = new_w / (f.get("imageWidth") or img_w)
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sy = new_h / (f.get("imageHeight") or img_h)
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x1 = f["boundingBoxX1"] * sx
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y1 = f["boundingBoxY1"] * sy
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x2 = f["boundingBoxX2"] * sx
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y2 = f["boundingBoxY2"] * sy
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area = max(0.0, (x2 - x1) * (y2 - y1))
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boxes.append((x1, y1, x2, y2, area))
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x_lo = min(b[0] for b in boxes)
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x_hi = max(b[2] for b in boxes)
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if x_hi - x_lo <= target_w:
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cx = (x_lo + x_hi) / 2
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else:
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cx = _weighted_center(boxes, 0, 2)
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y_lo_ext = min(b[1] - (b[3] - b[1]) * HEAD_EXTENSION for b in boxes)
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y_hi = max(b[3] for b in boxes)
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if y_hi - y_lo_ext <= target_h:
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cy = (y_lo_ext + y_hi) / 2
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else:
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cy = _weighted_center(boxes, 1, 3)
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x_off = max(0, min(int(cx - target_w / 2), new_w - target_w))
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y_off = max(0, min(int(cy - target_h / 2), new_h - target_h))
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return resized.crop((x_off, y_off, x_off + target_w, y_off + target_h))
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def _weighted_center(boxes: list[tuple], lo: int, hi: int) -> float:
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total = sum(b[4] for b in boxes) or 1.0
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return sum((b[lo] + b[hi]) / 2 * b[4] for b in boxes) / total
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@ -16,11 +16,11 @@ CACHE_DIR = Path(tempfile.gettempdir()) / "frame_cache"
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def _cache_get(key: str) -> list[dict] | None:
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path = CACHE_DIR / f"{key}.json"
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if not path.exists() or time.time() - path.stat().st_mtime > 3600:
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return None
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try:
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if time.time() - path.stat().st_mtime > 3600:
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return None
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return json.loads(path.read_text())
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except (json.JSONDecodeError, OSError):
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except (FileNotFoundError, json.JSONDecodeError, OSError):
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return None
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@ -29,45 +29,26 @@ def _cache_set(key: str, value: list[dict]) -> None:
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(CACHE_DIR / f"{key}.json").write_text(json.dumps(value))
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class PhotoHistory:
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"""Track displayed photos to avoid repeats. Clears after 7 days."""
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def _load_history() -> tuple[set[str], datetime]:
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"""Load (displayed, created_at). Resets if missing/corrupt or older than 7 days."""
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try:
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data = json.loads(HISTORY_FILE.read_text())
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created_at = datetime.fromisoformat(data["created_at"])
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if created_at.tzinfo is None:
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created_at = created_at.replace(tzinfo=timezone.utc)
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if datetime.now(timezone.utc) - created_at <= timedelta(days=7):
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return set(data.get("displayed", [])), created_at
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print("Photo history expired (>7 days), clearing...")
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except (FileNotFoundError, json.JSONDecodeError, ValueError, KeyError):
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pass
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return set(), datetime.now(timezone.utc)
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def __init__(self, path: Path = HISTORY_FILE):
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self.path = path
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self.displayed: set[str] = set()
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self.created_at = datetime.now(timezone.utc)
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self._load()
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def _load(self) -> None:
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if not self.path.exists():
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self._save()
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return
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try:
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data = json.loads(self.path.read_text())
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self.created_at = datetime.fromisoformat(data["created_at"])
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if self.created_at.tzinfo is None:
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self.created_at = self.created_at.replace(tzinfo=timezone.utc)
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if datetime.now(timezone.utc) - self.created_at > timedelta(days=7):
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print("Photo history expired (>7 days), clearing...")
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self.created_at = datetime.now(timezone.utc)
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self._save()
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else:
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self.displayed = set(data.get("displayed", []))
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except (json.JSONDecodeError, ValueError, KeyError):
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self._save()
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def _save(self) -> None:
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self.path.write_text(json.dumps({
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"created_at": self.created_at.isoformat(),
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"displayed": list(self.displayed),
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}, indent=2))
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def mark_displayed(self, asset_id: str) -> None:
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self.displayed.add(asset_id)
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self._save()
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def filter_new(self, assets: list[dict]) -> list[dict]:
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return [a for a in assets if a.get("id") not in self.displayed]
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def _save_history(displayed: set[str], created_at: datetime) -> None:
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HISTORY_FILE.write_text(json.dumps({
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"created_at": created_at.isoformat(),
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"displayed": sorted(displayed),
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}, indent=2))
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@dataclass
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@ -79,14 +60,13 @@ class ImmichClient:
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self.base_url = self.base_url.rstrip("/")
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def _request(self, method: str, endpoint: str, data: dict | None = None) -> dict:
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url = f"{self.base_url}/api/{endpoint.lstrip('/')}"
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headers = {"x-api-key": self.api_key}
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body = None
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if data is not None:
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headers["Content-Type"] = "application/json"
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body = json.dumps(data).encode()
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req = Request(url, data=body, headers=headers, method=method)
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req = Request(f"{self.base_url}/api{endpoint}", data=body, headers=headers, method=method)
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with urlopen_with_retry(req, timeout=30) as resp:
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return json.loads(resp.read().decode())
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@ -105,16 +85,15 @@ class ImmichClient:
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items = []
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page = 1
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while True:
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result = self._request("POST", "/search/metadata", {
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assets = self._request("POST", "/search/metadata", {
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"personIds": person_ids,
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"size": 250,
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"page": page,
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"type": "IMAGE",
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"withExif": True,
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})
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batch = result.get("assets", {}).get("items", [])
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items.extend(batch)
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if not batch or not result.get("assets", {}).get("nextPage"):
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}).get("assets", {})
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items.extend(assets.get("items", []))
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if not assets.get("nextPage"):
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break
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page += 1
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_cache_set(key, items)
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@ -127,6 +106,19 @@ class ImmichClient:
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dest.write_bytes(resp.read())
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return dest
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def get_asset_faces(self, asset_id: str) -> list[dict]:
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"""Face boxes for people assigned on this asset.
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Each face has imageWidth, imageHeight, boundingBoxX1/Y1/X2/Y2.
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Unassigned faces are skipped — they're often false positives (posters,
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reflections) and shouldn't drag the crop off the real subjects.
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"""
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asset = self._request("GET", f"/assets/{asset_id}")
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faces = []
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for person in asset.get("people") or []:
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faces.extend(person.get("faces") or [])
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return faces
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def get_album_id(self, name: str) -> str | None:
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for album in self._request("GET", "/albums"):
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if album["albumName"].lower() == name.lower():
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@ -159,8 +151,35 @@ def _filter_by_orientation(assets: list[dict], portrait: bool) -> list[dict]:
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return out
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def _on_this_day_candidates(assets: list[dict]) -> list[dict]:
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"""Photos taken on today's month-day in past years, with a ±3-day fallback."""
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today = datetime.now(timezone.utc).date()
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dated = []
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for a in assets:
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exif = a.get("exifInfo") or {}
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date_str = exif.get("dateTimeOriginal") or a.get("fileCreatedAt")
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if not date_str:
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continue
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try:
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dt = datetime.fromisoformat(date_str.replace("Z", "+00:00")).date()
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except (ValueError, AttributeError):
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continue
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if dt.year < today.year:
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dated.append((a, dt))
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exact = [a for a, dt in dated if (dt.month, dt.day) == (today.month, today.day)]
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if exact:
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return exact
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nearby_md = set()
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for offset in range(-3, 4):
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d = today + timedelta(days=offset)
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nearby_md.add((d.month, d.day))
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return [a for a, dt in dated if (dt.month, dt.day) in nearby_md]
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def _pick_weighted_random(assets: list[dict]) -> dict:
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"""Pick random asset, biased towards favorites and recently added photos."""
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"""Pick random asset, biased towards on-this-day memories, favorites, and recents."""
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cutoff = datetime.now(timezone.utc) - timedelta(days=30)
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favorites = [a for a in assets if a.get("isFavorite")]
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recent = []
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@ -170,10 +189,18 @@ def _pick_weighted_random(assets: list[dict]) -> dict:
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recent.append(a)
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except (ValueError, AttributeError):
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pass
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on_this_day = _on_this_day_candidates(assets)
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candidates = [(favorites, 0.2), (recent, 0.4), (assets, 0.4)]
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pools, weights = zip(*[(p, w) for p, w in candidates if p])
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pool = random.choices(pools, weights=weights)[0]
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candidates = [
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("on this day", on_this_day, 0.10),
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("favorites", favorites, 0.18),
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("recent", recent, 0.36),
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("all", assets, 0.36),
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]
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active = [(label, pool, w) for label, pool, w in candidates if pool]
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print("Pool sizes: " + ", ".join(f"{label}={len(pool)}" for label, pool, _ in active))
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label, pool, _ = random.choices(active, weights=[w for _, _, w in active])[0]
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print(f"Picked pool: {label} ({len(pool)} candidates)")
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return random.choice(pool)
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@ -184,8 +211,8 @@ def _pick_and_download(client: ImmichClient, assets: list[dict],
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if not filtered:
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raise ValueError(f"No {'portrait' if portrait else 'landscape'} photos in {source_label}")
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history = PhotoHistory()
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candidates = history.filter_new(filtered)
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displayed, created_at = _load_history()
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candidates = [a for a in filtered if a.get("id") not in displayed]
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if not candidates:
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print(f"All {len(filtered)} photos shown, picking from full list")
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candidates = filtered
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@ -195,7 +222,8 @@ def _pick_and_download(client: ImmichClient, assets: list[dict],
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asset = _pick_weighted_random(candidates)
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dest = Path(tempfile.gettempdir()) / "immich_photo.jpg"
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path = client.download_asset(asset["id"], dest)
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history.mark_displayed(asset["id"])
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displayed.add(asset["id"])
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_save_history(displayed, created_at)
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return path, asset
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@ -3,17 +3,13 @@ import time
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from urllib.error import URLError
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from urllib.request import Request, urlopen
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RETRY_DELAYS = (3, 10)
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def urlopen_with_retry(req: Request, timeout: int = 30):
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"""urlopen wrapper that retries transient network failures."""
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last_err: Exception | None = None
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for attempt in range(len(RETRY_DELAYS) + 1):
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"""urlopen wrapper that retries transient network failures (3s, 10s backoff)."""
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for delay in (3, 10, None):
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try:
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return urlopen(req, timeout=timeout)
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except (URLError, TimeoutError) as e:
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last_err = e
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if attempt < len(RETRY_DELAYS):
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time.sleep(RETRY_DELAYS[attempt])
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raise last_err
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except (URLError, TimeoutError):
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if delay is None:
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raise
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time.sleep(delay)
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@ -52,7 +52,9 @@ def format_age(asset: dict) -> str | None:
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for n, unit in ((365, "year"), (30, "month"), (7, "week")):
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if days >= n:
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count = max(1, days // n)
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return f"{count} {unit}{'s' if count > 1 else ''} ago"
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if count == 1:
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return f"Last {unit}"
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return f"{count} {unit}s ago"
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def format_location(asset: dict) -> str | None:
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@ -159,23 +159,20 @@ class EPD:
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epdconfig.digital_write(self.reset_pin, 1)
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epdconfig.delay_ms(20)
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def send_command(self, command):
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epdconfig.digital_write(self.dc_pin, 0)
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def _spi(self, dc: int, payload, batch: bool = False):
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epdconfig.digital_write(self.dc_pin, dc)
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epdconfig.digital_write(self.cs_pin, 0)
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epdconfig.spi_writebyte([command])
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(epdconfig.spi_writebyte2 if batch else epdconfig.spi_writebyte)(payload)
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epdconfig.digital_write(self.cs_pin, 1)
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def send_command(self, command):
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self._spi(0, [command])
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def send_data(self, data):
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epdconfig.digital_write(self.dc_pin, 1)
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epdconfig.digital_write(self.cs_pin, 0)
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epdconfig.spi_writebyte([data])
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epdconfig.digital_write(self.cs_pin, 1)
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self._spi(1, [data])
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def send_data2(self, data):
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epdconfig.digital_write(self.dc_pin, 1)
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epdconfig.digital_write(self.cs_pin, 0)
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epdconfig.spi_writebyte2(data)
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epdconfig.digital_write(self.cs_pin, 1)
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self._spi(1, data, batch=True)
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def wait_busy(self):
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while epdconfig.digital_read(self.busy_pin) == 0:
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