open-notebook/open_notebook/config.py
orihatav d0bbe4a921 fix: handle tiktoken network errors in offline environments (issue #264)
In air-gapped / offline Docker deployments, tiktoken.get_encoding() tries
to download the encoding file from openaipublic.blob.core.windows.net.
When that request fails it raises a URLError / OSError — not an ImportError
— so the previous except clause silently missed it and the crash surfaced in
the UI.

Widened `except ImportError` to `except Exception` so all failures —
"not installed" and "network unreachable" — fall through to the word-count
fallback (words × 1.3). Added a loguru WARNING so operators can see when
the fallback is active.

TIKTOKEN_CACHE_DIR now reads from the environment with a blank-safe
fallback (`or` guard prevents os.makedirs("") on empty env var). This lets
Docker images redirect the cache to a path outside /app/data/ so user-data
volume mounts cannot shadow the pre-baked encoding.

Both images now pre-download the o200k_base encoding during the builder
stage (internet is available at build time) and copy it into the runtime
image at /app/tiktoken-cache. ENV TIKTOKEN_CACHE_DIR=/app/tiktoken-cache
is set in the runtime stage so no network call is ever needed at runtime.

Added test_token_count_network_error_fallback in tests/test_utils.py:
patches tiktoken.get_encoding with a URLError and asserts token_count()
returns a positive int instead of raising.

Fixes #264

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-10 19:45:14 -05:00

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Python

import os
# ROOT DATA FOLDER
DATA_FOLDER = "./data"
# LANGGRAPH CHECKPOINT FILE
sqlite_folder = f"{DATA_FOLDER}/sqlite-db"
os.makedirs(sqlite_folder, exist_ok=True)
LANGGRAPH_CHECKPOINT_FILE = f"{sqlite_folder}/checkpoints.sqlite"
# UPLOADS FOLDER
UPLOADS_FOLDER = f"{DATA_FOLDER}/uploads"
os.makedirs(UPLOADS_FOLDER, exist_ok=True)
# TIKTOKEN CACHE FOLDER
# Reads TIKTOKEN_CACHE_DIR from the environment so Docker can redirect the cache
# to a path outside /data/ (which is typically volume-mounted and would hide the
# pre-baked encoding baked into the image at build time).
TIKTOKEN_CACHE_DIR = os.environ.get("TIKTOKEN_CACHE_DIR", "").strip() or f"{DATA_FOLDER}/tiktoken-cache"
os.makedirs(TIKTOKEN_CACHE_DIR, exist_ok=True)