build sqlite-zstd from source to not have a version missmatch of sqlite3

.gitignore

@@ -5,12 +5,10 @@
 .vscode
 .venv/
 __pycache__/
-data/
 .env
-.tools/
+.testing/
 
 dbschema/migrations/
 
 *.jsonl
 /dataset/
-models/

Dockerfile

@@ -1,10 +1,26 @@
+# Stage 1 — compile sqlite-zstd against the container's own SQLite
+FROM ghcr.io/astral-sh/uv:python3.13-trixie-slim AS sqlite-zstd-builder
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    curl git libsqlite3-dev libzstd-dev pkg-config build-essential ca-certificates && \
+    rm -rf /var/lib/apt/lists/*
+
+RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y --default-toolchain stable --profile minimal
+ENV PATH="/root/.cargo/bin:${PATH}"
+
+RUN git clone --depth=1 --branch v0.3.5 https://github.com/phiresky/sqlite-zstd.git /tmp/sqlite-zstd && \
+    cd /tmp/sqlite-zstd && \
+    cargo build --release --features build_extension && \
+    cp target/release/libsqlite_zstd.so /usr/local/lib/libsqlite_zstd.so
+
+# Stage 2 — runtime image
 FROM ghcr.io/astral-sh/uv:python3.13-trixie-slim
 
-RUN apt-get update && apt-get install -y --no-install-recommends curl libzstd1 && \
-    curl -fsSL "https://github.com/phiresky/sqlite-zstd/releases/download/v0.3.5/sqlite_zstd-v0.3.5-x86_64-unknown-linux-gnu.tar.gz" \
-    | tar -xz --strip-components=1 -C /usr/local/lib "sqlite_zstd-v0.3.5-x86_64-unknown-linux-gnu/libsqlite_zstd.so" && \
+RUN apt-get update && apt-get install -y --no-install-recommends libzstd1 && \
     rm -rf /var/lib/apt/lists/*
 
+COPY --from=sqlite-zstd-builder /usr/local/lib/libsqlite_zstd.so /usr/local/lib/libsqlite_zstd.so
+
 # Install app
 COPY . /app
 WORKDIR /app
@@ -12,7 +28,6 @@ WORKDIR /app
 # Install dependencies
 RUN uv sync --no-config --frozen --compile-bytecode
 
-# Starten Sie Ihre Anwendung
 EXPOSE 8000
 
 CMD [".venv/bin/hypercorn", "asgi:app", "--bind", "0.0.0.0:8000", "--workers", "1", "--access-logfile", "-"]

justfile

@@ -12,8 +12,8 @@ set dotenv-required := true
 # Use zsh
 set shell := ["bash", "-cu"]
 
-BATTLESNAKE_CLI_DIR := ".tools/battlesnake-cli"
-BATTLESNAKE_CLI_BIN := ".tools/battlesnake-cli/battlesnake"
+BATTLESNAKE_CLI_DIR := ".testing/tools/battlesnake-cli"
+BATTLESNAKE_CLI_BIN := ".testing/tools/battlesnake-cli/battlesnake"
 
 # ------------------------------------------------------------------------------
 #  Default
@@ -112,7 +112,7 @@ test-local-4 mode="standard" map="standard" base_port="9101" snake="BestBattleSn
   set -euo pipefail
 
   BATTLESNAKE_CLI="{{justfile_directory()}}/{{BATTLESNAKE_CLI_BIN}}"
-  LOG_DIR="{{justfile_directory()}}/.tools/snake-logs"
+  LOG_DIR="{{justfile_directory()}}/.testing/tools/snake-logs"
   mkdir -p "$LOG_DIR"
 
   pids=()
@@ -162,17 +162,17 @@ test-local-4 mode="standard" map="standard" base_port="9101" snake="BestBattleSn
 #  Dataset helpers
 # ------------------------------------------------------------------------------
 
-export-dataset input="data" output="data/dataset/good_moves.jsonl":
+export-dataset input=".testing/data" output=".testing/data/dataset/good_moves.jsonl":
   python -m server.DatasetExporter --input "{{input}}" --output "{{output}}"
 
-curate-dataset input="good_moves-*.jsonl" output="data/dataset/best_moves.jsonl" min_turn="6" late_turn="20" max_safe_options="2" min_score="3" append="false" archive="false" archive_dir="":
+curate-dataset input="good_moves-*.jsonl" output=".testing/data/dataset/best_moves.jsonl" min_turn="6" late_turn="20" max_safe_options="2" min_score="3" append="false" archive="false" archive_dir="":
   FLAGS=""; if [ "{{append}}" = "true" ]; then FLAGS="$FLAGS --append"; fi; if [ "{{archive}}" = "true" ]; then FLAGS="$FLAGS --archive-input"; fi; if [ -n "{{archive_dir}}" ]; then FLAGS="$FLAGS --archive-dir {{archive_dir}}"; fi; python -m server.DatasetCurator --input "{{input}}" --output "{{output}}" --min-turn "{{min_turn}}" --late-turn "{{late_turn}}" --max-safe-options "{{max_safe_options}}" --min-score "{{min_score}}" $FLAGS
 
 analyze-dataset input="good_moves-*.jsonl" output="":
   if [ -n "{{output}}" ]; then python -m server.DatasetStats --input "{{input}}" --output "{{output}}"; else python -m server.DatasetStats --input "{{input}}"; fi
 
-train-ai input="dataset/best_moves.jsonl" rl_input="dataset/rl_bootstrap.jsonl" output="models/battlesnake_softmax_v2.json" eval_split="0.2" seed="42" epochs="14" lr="0.08":
+train-ai input=".testing/data/dataset/best_moves.jsonl" rl_input=".testing/data/dataset/rl_bootstrap.jsonl" output=".testing/models/battlesnake_softmax_v2.json" eval_split="0.2" seed="42" epochs="14" lr="0.08":
   if [ -f "{{rl_input}}" ]; then python -m server.TrainBattleSnakeAI --input "{{input}}" --input "{{rl_input}}" --output "{{output}}" --eval-split "{{eval_split}}" --seed "{{seed}}" --epochs "{{epochs}}" --lr "{{lr}}"; else python -m server.TrainBattleSnakeAI --input "{{input}}" --output "{{output}}" --eval-split "{{eval_split}}" --seed "{{seed}}" --epochs "{{epochs}}" --lr "{{lr}}"; fi
 
-run-trained model="models/battlesnake_softmax_v2.json" port="8000":
+run-trained model=".testing/models/battlesnake_softmax_v2.json" port="8000":
   TRAINED_SNAKE_MODEL="{{model}}" SNAKE="TrainedBattleSnake" PORT="{{port}}" "{{justfile_directory()}}/main.py"