Andras Schmelczer
90b692da39
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Adds a stdlib-only loader (src/lib/env.py) that walks up to find the nearest .env. display.py and notebooks/_helpers.py now `require()` the config values; wifi-check.sh sources .env to derive its probe host. The .env file is gitignored; .env.example documents the required keys. The existing tokens are still present in git history and will be scrubbed in the next commit; rotate them after the rewrite. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
110 lines
3.4 KiB
Python
110 lines
3.4 KiB
Python
"""Shared helpers for the frame project notebooks.
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Each notebook should call `bootstrap()` first — it puts `src/lib/` on the import
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path and stubs `waveshare_epd.epdconfig` so the production helpers can be
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imported without trying to claim GPIO pins.
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"""
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from __future__ import annotations
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import contextlib
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import io
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import random
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import sys
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import tempfile
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from collections.abc import Callable, Iterable
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from pathlib import Path
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from types import ModuleType
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REPO = Path(__file__).resolve().parent.parent
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CACHE_DIR = Path(tempfile.gettempdir()) / "frame_notebook"
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DEFAULT_PEOPLE = ("Me", "Ruby")
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def bootstrap() -> None:
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"""Make production lib + the migrated dither module importable, off-Pi safe."""
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for p in (REPO / "src" / "lib", REPO / "notebooks"):
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sp = str(p)
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if sp not in sys.path:
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sys.path.insert(0, sp)
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sys.modules.setdefault("waveshare_epd.epdconfig", ModuleType("waveshare_epd.epdconfig"))
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from env import load_env
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load_env()
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def immich_client():
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from env import require
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from immich import ImmichClient
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return ImmichClient(require("IMMICH_URL"), require("IMMICH_API_KEY"))
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def is_landscape(asset: dict) -> bool:
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exif = asset.get("exifInfo") or {}
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w, h = exif.get("exifImageWidth") or 0, exif.get("exifImageHeight") or 0
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if exif.get("orientation") in (6, 8, "6", "8"):
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w, h = h, w
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return w > h > 0
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def fetch_pool(
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client,
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names: Iterable[str] = DEFAULT_PEOPLE,
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pool_size: int = 500,
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seed: int = 7,
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filter_fn: Callable[[dict], bool] = is_landscape,
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) -> list[dict]:
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person_ids = [pid for n in names if (pid := client.get_person_id(n))]
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if not person_ids:
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raise ValueError(f"no people found: {list(names)}")
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assets = client.search_assets_by_people(person_ids)
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filtered = [a for a in assets if filter_fn(a)]
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rng = random.Random(seed)
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return rng.sample(filtered, min(pool_size, len(filtered)))
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def download_image(client, asset: dict):
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"""Download (cached) and open as PIL RGB Image."""
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from PIL import Image
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CACHE_DIR.mkdir(exist_ok=True)
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dest = CACHE_DIR / f"{asset['id']}.jpg"
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if not dest.exists():
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client.download_asset(asset["id"], dest)
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return Image.open(dest).convert("RGB")
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@contextlib.contextmanager
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def silenced():
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"""Suppress the production code's print() chatter during batch loops."""
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with contextlib.redirect_stdout(io.StringIO()):
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yield
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def show_grid(
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rows: list[list], titles: list[list[str]], figsize_scale=(4.4, 3.0), suptitle: str | None = None
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):
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"""Render a 2-D image grid with matplotlib. `rows` is list-of-lists of PIL/np images."""
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import matplotlib.pyplot as plt
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n_rows, n_cols = len(rows), max(len(r) for r in rows)
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fig, axes = plt.subplots(
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n_rows, n_cols, figsize=(figsize_scale[0] * n_cols, figsize_scale[1] * n_rows)
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)
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if n_rows == 1:
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axes = [axes] if n_cols == 1 else [list(axes)]
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elif n_cols == 1:
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axes = [[ax] for ax in axes]
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for i, (row, row_titles) in enumerate(zip(rows, titles, strict=True)):
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for j in range(n_cols):
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ax = axes[i][j]
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if j < len(row) and row[j] is not None:
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ax.imshow(row[j])
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ax.set_title(row_titles[j], fontsize=10)
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ax.axis("off")
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if suptitle:
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fig.suptitle(suptitle, fontsize=12)
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plt.tight_layout()
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return fig
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