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PySalado

Build installer

Lo hago en windows a esto:

  1. Get the tools. Install NSIS, and then install pynsist from PyPI by running pip install pynsist.

  2. Armo este archivo de configurción installer.cfg:

[Application]
name=PySalado
version=1.0.0
# How to lunch the app - this calls the 'main' function from the 'run_app' package:
entry_point=src.run_app:main
#icon=resources/caritas-logo.ico

[Python]
version=3.8.10
bitness=64

[Include]
# Packages from PyPI that your application requires, one per line
# These must have wheels on PyPI:
pypi_wheels = altair==4.1.0
    astor==0.8.1
    attrs==21.2.0
    backcall==0.2.0
    backports.zoneinfo==0.2.1
    base58==2.1.0
    bleach==4.1.0
    blinker==1.5
    cachetools==4.2.2
    certifi==2021.5.30
    cffi==1.14.6
    charset-normalizer==2.0.6
    click==7.1.2
    decorator==5.1.0
    defusedxml==0.7.1
    distlib==0.3.3
    entrypoints==0.3
    idna==3.2
    jsonschema==3.2.0
    mistune==0.8.4
    mypy-extensions==0.4.3
    numpy==1.21.1
    packaging==21.0
    pandas==1.3.3
    pandocfilters==1.5.0
    parso==0.8.2
    pillow==8.3.2
    platformdirs==2.4.0
    prompt-toolkit==3.0.20
    protobuf==3.18.0
    pyarrow==5.0.0
    pycparser==2.20
    pydeck==0.7.0
    pyparsing==2.4.7
    pyrsistent==0.18.0
    python-dateutil==2.8.2
    pytz==2021.1
    requests==2.26.0
    requests-download==0.1.2
    send2trash==1.8.0
    setuptools==57.0.0
    six==1.14.0
    smmap==4.0.0
    streamlit==1.11.0
    terminado==0.12.1
    testpath==0.5.0
    toml==0.10.2
    tomli==1.2.1
    toolz==0.11.1
    tornado==6.1
    traitlets==5.1.0
    typing-extensions==3.10.0.2
    tzlocal==3.0
    urllib3==1.26.7
    validators==0.18.2
    # panda dependencies
    Jinja2==3.0.1
    # Jinja2 dependencies
    MarkupSafe==2.0.1
    # Plotly and its dependencies
    plotly==5.3.1
    tenacity==8.0.1

#extra_wheel_sources = ./wheels

files = src/datos/
  1. Armo un directorio src donde alojo todo mi código del siguiente modo:

    • app.py: Donde va a ir toooodo mi código de programa: streamlit + funciones, todo en uno!
    • run_app.py: el script que va a ejecutar streamlit llamando a app.py
    • __init__.py: ya sabemos
    • datos: directorio para almacenar meta_estaciones_sah.csv y __init__.py
  2. Detalles a tener en cuenta en app.py

  • cuando se lee el archivo meta_estaciones_sah.csv hacerlo así: os.path.join(os.path.dirname(__file__), "datos", "meta_estaciones_sah.csv")
  1. Finalmente ejecuto: pynsist installer.cfg
  2. Generará un ejecutable .exe que es el único necesario para realizar la instalación.

Rutas de instalación

  • Paquetes python: C:\Users\emili\AppData\Local\pynsist\pypi\
  • Instalación de PySalado.exe en ruta: C:\Users\emili\AppData\Local\Programs\PySalado\Python\

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