datatools-dev/build

Build — DataTools desktop installer

Cross-platform PyInstaller bundle for Mac / Windows / Linux. The single deliverable the buyer downloads from Gumroad. Owner: Michael · Updated: 2026-05-01

This directory is the build pipeline. Source of truth for the bundle shape, hidden-import lists, per-platform recipes, and the launcher that boots Streamlit inside the bundle.

Files

build/
├── launcher.py           Entry point PyInstaller wraps. Boots a local
│                         Streamlit server, opens browser, locks server
│                         to 127.0.0.1 so the privacy claim holds.
├── datatools.spec        PyInstaller spec — hidden imports, data files,
│                         Mac .app bundle config.
├── hooks/                PyInstaller hooks for libs the static analyser
│   └── hook-streamlit.py misses (Streamlit's dynamic imports).
├── icon.icns             macOS app icon (TODO: produce from a 1024×1024
│                         PNG. Optional — bundle still builds without).
├── icon.ico              Windows app icon (TODO).
└── README.md             this file

Per-platform recipe

Each platform builds on its own machine — PyInstaller does not cross-compile. Pick the platform that matches the bundle you need. GitHub Actions matrix runners are the simplest way to produce all three from one push (see "CI build" below).

Mac (Intel + Apple Silicon, universal2)

# One-time:
pyenv install 3.12
pyenv local 3.12
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
pip install pyinstaller

# Build:
pyinstaller build/datatools.spec --clean

# Output:
#   dist/DataTools/         — folder mode (faster cold start)
#   dist/DataTools.app/     — macOS .app bundle (drag-drop into /Applications)

# Sign + notarize (after Apple Developer Program enrollment per BUSINESS.md §10):
codesign --deep --force --options runtime \
  --sign "Developer ID Application: <YOUR-NAME> (<TEAMID>)" \
  dist/DataTools.app

# Notarize:
xcrun notarytool submit dist/DataTools.app \
  --apple-id "<YOUR-APPLE-ID>" \
  --team-id  "<TEAMID>" \
  --password "<APP-SPECIFIC-PASSWORD>" \
  --wait

# Staple the notarization ticket so Gatekeeper sees it offline:
xcrun stapler staple dist/DataTools.app

# Wrap for distribution:
hdiutil create -volname "DataTools" -srcfolder dist/DataTools.app \
  -ov -format UDZO dist/DataTools-1.0.0-mac.dmg

Windows

# One-time:
py -3.12 -m venv .venv
.venv\Scripts\activate
pip install -r requirements.txt
pip install pyinstaller

# Build:
pyinstaller build\datatools.spec --clean

# Output:
#   dist\DataTools\          — folder mode
#   dist\DataTools\DataTools.exe

# Wrap with Inno Setup (free):
#   1. Install Inno Setup (https://jrsoftware.org/isdl.php)
#   2. Create installer.iss next to this README:
#        [Setup]
#        AppName=DataTools
#        AppVersion=1.0.0
#        DefaultDirName={autopf}\DataTools
#        OutputDir=..\..\dist
#        OutputBaseFilename=DataTools-1.0.0-win-setup
#        Compression=lzma
#        SolidCompression=yes
#        [Files]
#        Source: "..\..\dist\DataTools\*"; DestDir: "{app}"; Flags: recursesubdirs
#        [Icons]
#        Name: "{autoprograms}\DataTools"; Filename: "{app}\DataTools.exe"
#   3. Compile: ISCC.exe build\installer.iss

# Code-sign (optional but reduces SmartScreen warnings):
#   Use signtool with a code-signing cert (Sectigo / DigiCert).
#   Without signing, buyer sees "Windows protected your PC" once;
#   they click "More info → Run anyway." Acceptable for v1.

Linux (AppImage)

python3.12 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
pip install pyinstaller

pyinstaller build/datatools.spec --clean
# dist/DataTools/ — folder mode

# Wrap as AppImage (single-file portable app):
#   1. Download appimagetool from https://appimage.org/
#   2. Set up the AppDir layout:
#        DataTools.AppDir/
#        ├── AppRun                     -> ./DataTools/DataTools
#        ├── DataTools.desktop          (icon + entry config)
#        ├── icon.png
#        └── usr/bin/                   -> dist/DataTools/*
#   3. ./appimagetool DataTools.AppDir dist/DataTools-1.0.0-linux-x86_64.AppImage

CI build (recommended once the spec is stable)

.github/workflows/build.yml (template):

name: Build installers
on:
  workflow_dispatch:
  push:
    tags: [ 'v*' ]
jobs:
  build:
    strategy:
      matrix:
        os: [macos-latest, windows-latest, ubuntu-latest]
    runs-on: ${{ matrix.os }}
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with: { python-version: '3.12' }
      - run: pip install -r requirements.txt pyinstaller
      - run: pyinstaller build/datatools.spec --clean
      - uses: actions/upload-artifact@v4
        with:
          name: DataTools-${{ matrix.os }}
          path: dist/

Mac code-signing in CI requires the cert + private key as a GitHub secret (encoded with base64). Detailed walkthrough belongs in a later doc — for v1, sign locally and upload to GitHub Releases.

Common pitfalls

Symptom	Fix
Bundle is 800+ MB	Check the excludes list in datatools.spec. matplotlib / scipy / tkinter are the usual suspects.
App launches, browser opens, page is blank	Streamlit's static assets aren't bundled. Re-run with --log-level=DEBUG and confirm the static dir was collected by collect_data_files('streamlit').
App launches but logs ImportError: streamlit.runtime.X	Add X to hidden_imports in the spec or to hook-streamlit.py.
Mac Gatekeeper says "DataTools is damaged and can't be opened"	The bundle wasn't signed + notarized. Don't ship to buyers without these — see the Mac recipe above.
Windows SmartScreen blocks first launch	Buyer clicks "More info → Run anyway". Code-signing reduces but doesn't eliminate this; for v1 it's an accepted friction.
Bundle works on dev machine but crashes on a clean machine	Likely a missing C runtime. On Windows, install VC++ redistributable into the installer alongside the bundle.

Testing the bundle

Smoke-test on a clean machine (or VM) — your dev machine has too much state to trust:

1. Boot a clean Mac / Win / Linux VM.
2. Copy the .dmg / .exe / .AppImage onto it.
3. Install / drag-drop into Applications / chmod +x.
4. Double-click the app icon.
5. Browser should open to http://127.0.0.1:850x within 5 seconds.
6. Drop samples/demo/shopify_pet_customers.csv into the
   Pipeline Runner page; click Run; AFTER preview should appear.
7. Confirm in the network tab: zero outbound calls except to
   127.0.0.1 and the Streamlit static asset paths (also local).

Step 7 is the privacy-claim integrity check from docs/POST-LAUNCH.md §6 — do this once per release, then trust it.

Versioning

Bump the version string in three places per release:

• datatools.spec (CFBundleVersion + CFBundleShortVersionString)
• the Inno Setup AppVersion line
• the AppImage filename

A single source of truth (e.g. src/__init__.py) is a future refactor — for v1 the three-spot update is fine.