Build Anki from Source on Lubuntu 24.04 – Step‑by‑Step Guide

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Summary

Building Anki on Lubuntu 24.04 requires setting up both the Python and Rust toolchains, installing system dependencies, and invoking the provided build scripts. The process is straightforward once the environment is prepared, but missing a single package or using the wrong Python version will cause cryptic failures.

Root Cause

  • Missing system libraries (e.g., libclang, libssl-dev) that Rust’s cargo expects.
  • Python version mismatch – Anki’s build expects Python 3.11, while Lubuntu ships 3.10 by default.
  • Incorrect PATH for Rust – the cargo binary is not on the PATH after installation.

Why This Happens in Real Systems

  • Linux distributions often lag behind the latest upstream language releases.
  • Package managers separate development headers (e.g., -dev packages) from runtime libraries, leading to build‑time link errors.
  • Multi‑language projects (Python + Rust) require both toolchains to be simultaneously functional; a missing piece in either side halts the whole pipeline.

Real-World Impact

  • Developers waste hours troubleshooting obscure compile errors.
  • Continuous Integration (CI) pipelines fail, slowing down releases.
  • End users cannot test new features or security patches from source.

Example or Code (if necessary and relevant)

# 1. Install system dependencies
sudo apt update
sudo apt install -y build-essential python3.11 python3.11-venv \
    python3.11-dev libssl-dev libclang-dev clang cmake git

# 2. Install Rust toolchain (stable)
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
source $HOME/.cargo/env

# 3. Clone the repository
git clone https://github.com/ankitects/anki.git
cd anki

# 4. Create and activate a Python virtual environment
python3.11 -m venv venv
source venv/bin/activate

# 5. Install Python build requirements
pip install -r requirements.txt

# 6. Build the Rust extension and the whole app
cargo build --release
# Or use the helper script that does both steps:
./scripts/build.sh

How Senior Engineers Fix It

  • Pin exact versions in a Dockerfile or CI config to guarantee reproducibility.
  • Use rustup show and python --version checks early in the script to abort with a clear message if the environment is wrong.
  • Bundle missing dev packages in a single meta‑package script, e.g., install_deps.sh, to reduce manual steps.
  • Validate the build with a smoke test (./run.py -v) before committing any changes.

Why Juniors Miss It

  • They assume the system’s default Python version is sufficient, overlooking Anki’s explicit Python 3.11 requirement.
  • They forget to install development headers (-dev packages), causing linker errors that appear unrelated to the missing libraries.
  • They often run cargo without sourcing the Rust environment, so the binary isn’t found, leading to “command not found” errors that seem unrelated to the actual build problem.

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