Squash Odysseus development history

This commit is contained in:
pewdiepie-archdaemon
2026-09-11 06:04:19 +00:00
parent e5c99a5eee
commit 6ee6502010
2050 changed files with 538359 additions and 57745 deletions
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#!/usr/bin/env bash
# Build patched wheels for Real-ESRGAN's unmaintained dependencies.
#
# basicsr / gfpgan / facexlib (xinntao, last released 2022) read their version
# in setup.py with:
#
# exec(compile(f.read(), version_file, 'exec'))
# return locals()['__version__']
#
# Python 3.13+ implements PEP 667: locals() inside a function returns an
# independent snapshot that exec() can no longer mutate, so the read raises
# `KeyError: '__version__'` and the sdist build fails. That is why the Cookbook
# "install realesrgan" button dies on the python:3.14 image. The packages have
# no fixed release, so we patch get_version() to exec into an explicit namespace
# dict (works on every Python) and build wheels from the patched source.
#
# Usage: build-realesrgan-wheels.sh [OUTPUT_DIR] (default: /wheels)
set -euo pipefail
OUT="${1:-/wheels}"
mkdir -p "$OUT"
work="$(mktemp -d)"
trap 'rm -rf "$work"' EXIT
cd "$work"
# Pinned to the versions Real-ESRGAN 0.3.0 resolves to.
SPECS="basicsr==1.4.2 gfpgan==1.3.8 facexlib==0.3.0"
for spec in $SPECS; do
name="${spec%%==*}"
ver="${spec##*==}"
# pip download builds metadata (and trips the same bug), so fetch the raw
# sdist URL from the PyPI JSON API instead.
url="$(python - "$name" "$ver" <<'PY'
import json, sys, urllib.request
name, ver = sys.argv[1], sys.argv[2]
data = json.load(urllib.request.urlopen(f"https://pypi.org/pypi/{name}/{ver}/json"))
for f in data["urls"]:
if f["packagetype"] == "sdist":
print(f["url"]); break
else:
sys.exit(f"no sdist found for {name}=={ver}")
PY
)"
echo ">> fetching ${name} ${ver}: ${url}"
curl -fsSL "$url" -o "${name}.tar.gz"
tar xzf "${name}.tar.gz"
done
echo ">> patching get_version()"
python - <<'PY'
import pathlib
old_exec = "exec(compile(f.read(), version_file, 'exec'))"
new_exec = "_ver_ns = {}\n exec(compile(f.read(), version_file, 'exec'), _ver_ns)"
old_ret = "return locals()['__version__']"
new_ret = "return _ver_ns['__version__']"
patched = 0
for setup in pathlib.Path(".").glob("*/setup.py"):
s = setup.read_text()
if old_exec in s and old_ret in s:
setup.write_text(s.replace(old_exec, new_exec).replace(old_ret, new_ret))
print(" patched", setup)
patched += 1
assert patched == 3, f"expected to patch 3 setup.py files, patched {patched}"
PY
echo ">> building wheels into ${OUT}"
pip wheel --no-deps -w "$OUT" ./basicsr-* ./gfpgan-* ./facexlib-*
ls -l "$OUT"
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@@ -13,6 +13,8 @@ set -e
PUID="${PUID:-1000}"
PGID="${PGID:-1000}"
GOSU_BIN="$(command -v gosu)"
PYTHON_BIN="$(command -v python)"
# Reuse an existing matching group/user if the host's UID/GID already
# corresponds to one in /etc/passwd (e.g. when the image is rebuilt
@@ -24,29 +26,121 @@ if ! getent passwd "$PUID" >/dev/null 2>&1; then
useradd -u "$PUID" -g "$PGID" -M -s /bin/sh -d /app odysseus
fi
# Repair ownership on every writable path the app touches at runtime.
#
# Bind-mounted dirs (/app/data, /app/logs) are the obvious ones, but
# the app ALSO writes inside the image's own source tree at runtime:
# - services/cache/{search,content}/* (search cache LRU)
# - services/search_analytics.json
# - services/search_engine_error.log
# - services/tts cache, etc.
# These dirs were created as root during `docker build`, so dropping
# to PUID:PGID would otherwise crash on the first import that tries
# to mkdir them. Chown the whole /app tree — fast (<1s on this size)
# and idempotent via the `-not -uid` filter so we only touch files
# that need fixing.
for dir in /app /app/data /app/logs; do
ODY_USER="$(getent passwd "$PUID" | cut -d: -f1)"
[ -z "$ODY_USER" ] && ODY_USER=odysseus
# Docker-socket group plumbing for the explicit host-Docker overlay. When
# opted in, the socket is owned by root:<host docker gid>. Add the app user
# to that group and later call gosu by username so supplementary groups are
# retained.
DOCKER_SOCK="${DOCKER_SOCK:-/var/run/docker.sock}"
if [ "${ODYSSEUS_ENABLE_HOST_DOCKER:-}" = "true" ] && [ -S "$DOCKER_SOCK" ]; then
SOCK_GID="$(stat -c '%g' "$DOCKER_SOCK" 2>/dev/null || echo '')"
if [ -n "$SOCK_GID" ] && [ "$SOCK_GID" != "0" ]; then
if ! getent group "$SOCK_GID" >/dev/null 2>&1; then
groupadd -g "$SOCK_GID" docker_host || true
fi
SOCK_GROUP="$(getent group "$SOCK_GID" | cut -d: -f1)"
if [ -n "$SOCK_GROUP" ]; then
usermod -aG "$SOCK_GROUP" "$ODY_USER" 2>/dev/null || true
fi
fi
fi
mount_root_for() {
awk -v target="$1" '$5 == target { print $4; exit }' /proc/self/mountinfo 2>/dev/null || true
}
is_broad_mount_root() {
case "$1" in
/|/home|/srv|/var|/usr|/opt|/tmp|/mnt|/media)
return 0
;;
esac
return 1
}
repair_tree_ownership() {
dir="$1"
if [ -d "$dir" ]; then
# `find ... -not -uid` keeps this O(touched-files), not
# O(everything), so terabyte-sized maildirs don't slow startup.
find "$dir" -not -uid "$PUID" -print0 2>/dev/null \
find "$dir" -xdev -not -uid "$PUID" -print0 2>/dev/null \
| xargs -0 -r chown "$PUID:$PGID" 2>/dev/null || true
fi
}
repair_app_tree_ownership() {
if [ -d /app ]; then
find /app -xdev \
\( -path /app/data -o -path /app/logs -o -path /app/.ssh -o -path /app/.cache -o -path /app/.local \) -prune \
-o -not -uid "$PUID" -print0 2>/dev/null \
| xargs -0 -r chown "$PUID:$PGID" 2>/dev/null || true
fi
}
repair_bind_mount_ownership() {
dir="$1"
if [ ! -d "$dir" ]; then
return
fi
mount_root="$(mount_root_for "$dir")"
if is_broad_mount_root "$mount_root"; then
echo "Skipping recursive ownership repair for $dir because it maps to broad host path $mount_root" >&2
chown "$PUID:$PGID" "$dir" 2>/dev/null || true
return
fi
repair_tree_ownership "$dir"
}
# Repair image-owned writable paths without walking into bind-mounted host
# trees, then repair the app-owned mount roots separately.
repair_app_tree_ownership
for dir in /app/data /app/logs /app/.ssh /app/.cache/huggingface /app/.local; do
repair_bind_mount_ownership "$dir"
done
# Cookbook installs vllm/etc. via `pip install --user`, which pulls
# nvidia-cuda-* wheels into /app/.local but does not set CUDA_HOME or
# symlink /usr/local/cuda. vllm 0.22+ then crashes during engine init
# when FlashInfer tries to JIT a sampler kernel ("Could not find nvcc",
# then "CUDA compiler and toolkit headers are incompatible" on the
# mixed cuda-nvcc 13.3 / cuda-runtime 13.0 wheel combo).
#
# Auto-set CUDA_HOME if a pip-installed nvcc is present, and disable the
# FlashInfer JIT sampler — sampler only, no impact on attention path.
# No-op when vllm isn't installed.
#
# Checked layouts (all are real pip-wheel install paths):
# nvidia/cu13 — nvidia-nvcc-cu13 (CUDA 13.x wheel style)
# nvidia/cu12 — nvidia-nvcc-cu12 (CUDA 12.x wheel style)
# nvidia/cuda_nvcc — nvidia-cuda-nvcc-cu12 (older cu12 sub-package style)
for cu in \
/app/.local/lib/python*/site-packages/nvidia/cu13 \
/app/.local/lib/python*/site-packages/nvidia/cu12 \
/app/.local/lib/python*/site-packages/nvidia/cuda_nvcc; do
if [ -x "$cu/bin/nvcc" ]; then
export CUDA_HOME="$cu"
break
fi
done
# Disable the FlashInfer JIT sampler unconditionally — it is sampler-only
# and has no impact on the attention path, but requires nvcc + matching
# CUDA headers at startup. Without this, vLLM crashes with "Could not find
# nvcc" even when the GPU itself is fully visible to the container.
export VLLM_USE_FLASHINFER_SAMPLER="${VLLM_USE_FLASHINFER_SAMPLER:-0}"
# Make Cookbook-installed Python CLIs visible after `pip install --user`.
# vLLM and helper scripts land here because /app is the non-root user's HOME.
export PATH="/app/.local/bin:$PATH"
# Run first-time setup as the app user so data/ files get the right ownership.
# setup.py is idempotent — skips auth.json / .env if they already exist.
# || true so a setup failure never prevents the container from starting.
"$GOSU_BIN" "$ODY_USER" "$PYTHON_BIN" /app/setup.py || true
# Drop root and run the actual app. `gosu` is preferred over `su` /
# `sudo` because it cleans up the process tree (no extra shell layer)
# so signals (SIGTERM from `docker stop`) reach uvicorn directly.
exec gosu "$PUID:$PGID" "$@"
exec "$GOSU_BIN" "$ODY_USER" "$@"
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# AMD ROCm GPU overlay. Enable by setting COMPOSE_FILE in .env:
# COMPOSE_FILE=docker-compose.yml:docker/gpu.amd.yml
# RENDER_GID=<numeric output of: getent group render | cut -d: -f3>
#
# Requires ROCm drivers on the host (kfd + DRI devices). The host user
# running Docker must be in the `video` and `render` groups.
#
# This overlay only passes the host GPU through to the container.
# The slim Odysseus image does not bundle ROCm userspace or inference
# engines — install ROCm-compatible builds of vLLM / llama-cpp-python
# via Cookbook -> Dependencies (or pip) before serving GPU models.
services:
odysseus:
devices:
- /dev/kfd
- /dev/dri
group_add:
- video
- ${RENDER_GID:-render}
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# NVIDIA GPU overlay. Enable by setting COMPOSE_FILE in .env:
# COMPOSE_FILE=docker-compose.yml:docker/gpu.nvidia.yml
#
# Use scripts/check-docker-gpu.sh to diagnose GPU passthrough, optionally
# install the NVIDIA Container Toolkit (Ubuntu/Debian), and write COMPOSE_FILE
# to .env. The script is read-only by default — it installs nothing and never
# edits .env unless explicitly asked.
#
# Requires the NVIDIA Container Toolkit on the host.
# Arch: sudo pacman -S nvidia-container-toolkit
# Debian: sudo apt install nvidia-container-toolkit
# Fedora: sudo dnf install nvidia-container-toolkit
# Then:
# sudo nvidia-ctk runtime configure --runtime=docker
# sudo systemctl restart docker
# Verify with:
# docker info | grep -i nvidia
#
# This overlay only passes the host GPU through to the container.
# The slim Odysseus image does not bundle CUDA userspace or inference
# engines — install vLLM / llama-cpp-python / SGLang via
# Cookbook -> Dependencies (or pip) before serving GPU models.
services:
odysseus:
environment:
- NVIDIA_VISIBLE_DEVICES=all
- NVIDIA_DRIVER_CAPABILITIES=compute,utility
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]
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# High-trust host Docker access. Enable only when local Docker-daemon
# management from Cookbook is required and you accept that raw socket access
# grants broad control over the host Docker daemon.
# COMPOSE_FILE=docker-compose.yml:docker/host-docker.yml
# DOCKER_GID=<numeric host Docker group id>
services:
odysseus:
volumes:
- /var/run/docker.sock:/var/run/docker.sock
group_add: ["${DOCKER_GID:-963}"]
environment:
- ODYSSEUS_ENABLE_HOST_DOCKER=true
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# High-trust host network access. Enable only when the Odysseus agent needs
# host-native LAN/VPN/mDNS behavior that Docker bridge networking cannot
# provide. Linux only; Docker Desktop does not provide equivalent host
# networking semantics.
# COMPOSE_FILE=docker-compose.yml:docker/host-workspace.yml:docker/host-network.yml
# APP_PORT=7011
services:
odysseus:
network_mode: host
ports: !reset []
environment:
- APP_PORT=${APP_PORT:-7011}
- APP_BIND=${APP_BIND:-0.0.0.0}
- SEARXNG_INSTANCE=${ODYSSEUS_HOST_NETWORK_SEARXNG_INSTANCE:-http://127.0.0.1:8080}
- CHROMADB_HOST=${ODYSSEUS_HOST_NETWORK_CHROMADB_HOST:-127.0.0.1}
- CHROMADB_PORT=${ODYSSEUS_HOST_NETWORK_CHROMADB_PORT:-8100}
- ODYSSEUS_CONTAINER_NETWORK_MODE=host
command:
- sh
- -c
- exec uvicorn app:app --host "$${APP_BIND:-0.0.0.0}" --port "$${APP_PORT:-7011}"
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# High-trust host workspace access. Enable only when the Odysseus agent should
# work on a host directory outside the container's normal /app/data sandbox.
# COMPOSE_FILE=docker-compose.yml:docker/host-workspace.yml
# ODYSSEUS_HOST_WORKSPACE_DIR=/absolute/host/path
# ODYSSEUS_HOST_WORKSPACE_MOUNT=/host/workspace
services:
odysseus:
volumes:
- ${ODYSSEUS_HOST_WORKSPACE_DIR:?set ODYSSEUS_HOST_WORKSPACE_DIR}:${ODYSSEUS_HOST_WORKSPACE_MOUNT:-/host/workspace}:rw,z
environment:
- ODYSSEUS_HOST_WORKSPACE_MOUNT=${ODYSSEUS_HOST_WORKSPACE_MOUNT:-/host/workspace}