diff options
Diffstat (limited to 'python-psychrochart.spec')
| -rw-r--r-- | python-psychrochart.spec | 650 |
1 files changed, 650 insertions, 0 deletions
diff --git a/python-psychrochart.spec b/python-psychrochart.spec new file mode 100644 index 0000000..f8f1ad4 --- /dev/null +++ b/python-psychrochart.spec @@ -0,0 +1,650 @@ +%global _empty_manifest_terminate_build 0 +Name: python-psychrochart +Version: 0.9.1 +Release: 1 +Summary: A python 3 library to make psychrometric charts and overlay information on them +License: MIT +URL: https://github.com/azogue/psychrochart +Source0: https://mirrors.aliyun.com/pypi/web/packages/90/a3/66e53b930dafdc8d25fbe787f63e60620f988df4cff25632c597818ad97d/psychrochart-0.9.1.tar.gz +BuildArch: noarch + +Requires: python3-matplotlib +Requires: python3-scipy +Requires: python3-psychrolib +Requires: python3-pydantic +Requires: python3-slugify + +%description +[![pre-commit.ci Status][pre-commit-ci-image]][pre-commit-ci-url] +[![Build Status][build-image]][build-url] +[![PyPI Version][pypi-image]][pypi-url] + +<!-- Badges --> + +[pre-commit-ci-image]: https://results.pre-commit.ci/badge/github/azogue/psychrochart/master.svg +[pre-commit-ci-url]: https://results.pre-commit.ci/latest/github/azogue/psychrochart/master +[build-image]: https://github.com/azogue/psychrochart/actions/workflows/main.yml/badge.svg +[build-url]: https://github.com/azogue/psychrochart/actions/workflows/main.yml +[pypi-image]: https://img.shields.io/pypi/v/psychrochart +[pypi-url]: https://pypi.org/project/psychrochart/ + +# Psychrochart + +A python 3 library to make **[psychrometric charts](https://en.wikipedia.org/wiki/Psychrometrics)** and overlay information on them. + +It implements a useful collection of psychrometric equations for moisture and humid air calculations, and the generation of beautiful and high customizable **psychrometric charts in SVG** with [`matplotlib`](https://matplotlib.org). + +**Psychrometric calculations to make the chart data are done with [`PsychroLib`](https://github.com/psychrometrics/psychrolib)** (summary paper in https://doi.org/10.21105/joss.01137). + +<img src="./tests/example-charts/chart_overlay_style_minimal.svg" width="100%" height="100%"> + +## Install + +Get it **[from pypi](https://pypi.python.org/pypi?:action=display&name=psychrochart)** or **[clone it](https://github.com/azogue/psychrochart.git)** if you want to run the tests. + +```shell +pip install psychrochart +``` + +## Features + +- **SI** units (with temperatures in celsius for better readability), with _partial_ compatibility with IP system (imperial units) +- Easy style customization based on [**pydantic**](https://docs.pydantic.dev/latest/) models and config presets for full customization of **chart limits**, included lines and labels, colors, line styles, line widths, etc.. +- Psychrometric charts within temperature and humidity ratio ranges, for any pressure\*, with: + - **Saturation line** + - **Constant RH lines** + - **Constant enthalpy lines** + - **Constant wet-bulb temperature lines** + - **Constant specific volume lines** + - **Constant dry-bulb temperature lines** (internal orthogonal grid, vertical) + - **Constant humidity ratio lines** (internal orthogonal grid, horizontal) +- Plot legend for each family of lines, labeled zones and annotations +- Specify labels for each family of lines +- Overlay points, arrows, **data-series** (numpy arrays or pandas series), and convex hulls around points +- Define multiple kinds of **zones limited by psychrometric values**: + - 'dbt-rh' for areas between dry-bulb temperature and relative humidity values, + - 'enthalpy-rh' for areas between constant enthalpy and relative humidity values + - 'volume-rh' for areas between constant volume and relative humidity values + - 'dbt-wmax' for an area between dry-bulb temperature and water vapor content values (:= a rectangle cut by the saturation line), + - 'xy-points' to define arbitrary closed paths in plot coordinates (dbt, abs humidity) +- **Export as SVG, PNG files**, or generate dynamic SVGs with extra CSS and <defs> with `chart.make_svg(...)` + +> NOTE: The ranges of temperature, humidity and pressure where this library should provide good results are within the normal environments for people to live in. +> +> Don't expect right results if doing other type of thermodynamic calculations. +> +> ⚠️ **Over saturated water vapor states are not implemented**. This library is intended for HVAC applications only ⚠️ + +## Usage + +```python +from psychrochart import PsychroChart + +# Load default style: +chart_default = PsychroChart.create() +# customize anything +chart_default.limits.range_temp_c = (15.0, 35.0) +chart_default.limits.range_humidity_g_kg = (5, 25) +chart_default.config.saturation.linewidth = 1 +chart_default.config.constant_wet_temp.color = "darkblue" +# plot +axes = chart_default.plot() +axes.get_figure() +# or store on disk +chart_default.save("my-custom-chart.svg") +``` + +Called from the terminal (`python psychrochart`), it plots and shows the default chart using the default matplotlib backend, equivalent to this python script: + +```python +from psychrochart import PsychroChart +import matplotlib.pyplot as plt + +PsychroChart.create().plot(ax=plt.gca()) +plt.show() +``` + +### Chart customization + +The default styling for charts is defined in JSON files that you can change, or you can pass a path of a file in JSON, or a dict, when you create the psychrometric chart object. +Included styles are: `default`, `ashrae`, `ashrae_ip` (adjusted for IP units), `interior`, and `minimal`. + +```python +from pathlib import Path +from psychrochart import load_config, PsychroChart + +# Load preconfigured styles: +chart_ashrae_style = PsychroChart.create('ashrae') +chart_ashrae_style.plot() + +chart_minimal = PsychroChart.create('minimal') +chart_minimal.plot() + +# Get a preconfigured style model and customize it +chart_config = load_config('interior') +chart_config.limits.range_temp_c = (18.0, 32.0) +chart_config.limits.range_humidity_g_kg = (1.0, 40.0) +chart_config.limits.altitude_m = 3000 + +custom_chart = PsychroChart.create(chart_config) +custom_chart.save("custom-chart.svg") + +# serialize the config for future uses +assert chart_config.json() == custom_chart.config.json() +Path('path/to/chart_config_file.json').write_text(chart_config.json()) +custom_chart_bis = PsychroChart.create('path/to/chart_config_file.json') +# or even the full psychrochart +Path('path/to/chart_file.json').write_text(custom_chart.json()) +custom_chart_bis_2 = PsychroChart.parse_file('path/to/chart_file.json') + +# Specify the styles JSON file: +chart_custom = PsychroChart.create('/path/to/json_file.json') +chart_custom.plot() + +# Pass a dict with the changes wanted: +custom_style = { + "figure": { + "figsize": [12, 8], + "base_fontsize": 12, + "title": "My chart", + "x_label": None, + "y_label": None, + "partial_axis": False + }, + "limits": { + "range_temp_c": [15, 30], + "range_humidity_g_kg": [0, 25], + "altitude_m": 900, + "step_temp": .5 + }, + "saturation": {"color": [0, .3, 1.], "linewidth": 2}, + "constant_rh": {"color": [0.0, 0.498, 1.0, .7], "linewidth": 2.5, + "linestyle": ":"}, + "chart_params": { + "with_constant_rh": True, + "constant_rh_curves": [25, 50, 75], + "constant_rh_labels": [25, 50, 75], + "with_constant_v": False, + "with_constant_h": False, + "with_constant_wet_temp": False, + "with_zones": False + } +} + +chart_custom_2 = PsychroChart.create(custom_style) +chart_custom_2.plot() +``` + +The custom configuration does not need to include all fields, but only the fields you want to change. + +To play with it and see the results, look at this **[notebook with usage examples](https://github.com/azogue/psychrochart/blob/master/notebooks/Usage%20example%20of%20psychrochart.ipynb)**. + +## Development and testing + +To run the tests, clone the repository, `poetry install` it, and run `poetry run pytest`. + +Run `poetry run pre-commit run --all-files` to apply linters for changes in the code 😜. + +## License + +[MIT license](https://github.com/azogue/psychrochart/blob/master/LICENSE), so do with it as you like ;-) + +## Included styling examples + +**Default style**: + +<img src="./tests/example-charts/test_default_psychrochart.svg" width="100%" height="100%"> + +**ASHRAE Handbook black and white style**: (preset: `ashrae`) + +<img src="./tests/example-charts/test_ashrae_psychrochart.svg" width="100%" height="100%"> + +**ASHRAE Handbook black and white style (IP units)**: (preset: `ashrae_ip`) + +<img src="./tests/example-charts/test_ashrae_psychrochart_ip.svg" width="100%" height="100%"> + +**Minimal style**: (preset: `minimal`) + +<img src="./tests/example-charts/test_minimal_psychrochart.svg" width="100%" height="100%"> + + +%package -n python3-psychrochart +Summary: A python 3 library to make psychrometric charts and overlay information on them +Provides: python-psychrochart +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-psychrochart +[![pre-commit.ci Status][pre-commit-ci-image]][pre-commit-ci-url] +[![Build Status][build-image]][build-url] +[![PyPI Version][pypi-image]][pypi-url] + +<!-- Badges --> + +[pre-commit-ci-image]: https://results.pre-commit.ci/badge/github/azogue/psychrochart/master.svg +[pre-commit-ci-url]: https://results.pre-commit.ci/latest/github/azogue/psychrochart/master +[build-image]: https://github.com/azogue/psychrochart/actions/workflows/main.yml/badge.svg +[build-url]: https://github.com/azogue/psychrochart/actions/workflows/main.yml +[pypi-image]: https://img.shields.io/pypi/v/psychrochart +[pypi-url]: https://pypi.org/project/psychrochart/ + +# Psychrochart + +A python 3 library to make **[psychrometric charts](https://en.wikipedia.org/wiki/Psychrometrics)** and overlay information on them. + +It implements a useful collection of psychrometric equations for moisture and humid air calculations, and the generation of beautiful and high customizable **psychrometric charts in SVG** with [`matplotlib`](https://matplotlib.org). + +**Psychrometric calculations to make the chart data are done with [`PsychroLib`](https://github.com/psychrometrics/psychrolib)** (summary paper in https://doi.org/10.21105/joss.01137). + +<img src="./tests/example-charts/chart_overlay_style_minimal.svg" width="100%" height="100%"> + +## Install + +Get it **[from pypi](https://pypi.python.org/pypi?:action=display&name=psychrochart)** or **[clone it](https://github.com/azogue/psychrochart.git)** if you want to run the tests. + +```shell +pip install psychrochart +``` + +## Features + +- **SI** units (with temperatures in celsius for better readability), with _partial_ compatibility with IP system (imperial units) +- Easy style customization based on [**pydantic**](https://docs.pydantic.dev/latest/) models and config presets for full customization of **chart limits**, included lines and labels, colors, line styles, line widths, etc.. +- Psychrometric charts within temperature and humidity ratio ranges, for any pressure\*, with: + - **Saturation line** + - **Constant RH lines** + - **Constant enthalpy lines** + - **Constant wet-bulb temperature lines** + - **Constant specific volume lines** + - **Constant dry-bulb temperature lines** (internal orthogonal grid, vertical) + - **Constant humidity ratio lines** (internal orthogonal grid, horizontal) +- Plot legend for each family of lines, labeled zones and annotations +- Specify labels for each family of lines +- Overlay points, arrows, **data-series** (numpy arrays or pandas series), and convex hulls around points +- Define multiple kinds of **zones limited by psychrometric values**: + - 'dbt-rh' for areas between dry-bulb temperature and relative humidity values, + - 'enthalpy-rh' for areas between constant enthalpy and relative humidity values + - 'volume-rh' for areas between constant volume and relative humidity values + - 'dbt-wmax' for an area between dry-bulb temperature and water vapor content values (:= a rectangle cut by the saturation line), + - 'xy-points' to define arbitrary closed paths in plot coordinates (dbt, abs humidity) +- **Export as SVG, PNG files**, or generate dynamic SVGs with extra CSS and <defs> with `chart.make_svg(...)` + +> NOTE: The ranges of temperature, humidity and pressure where this library should provide good results are within the normal environments for people to live in. +> +> Don't expect right results if doing other type of thermodynamic calculations. +> +> ⚠️ **Over saturated water vapor states are not implemented**. This library is intended for HVAC applications only ⚠️ + +## Usage + +```python +from psychrochart import PsychroChart + +# Load default style: +chart_default = PsychroChart.create() +# customize anything +chart_default.limits.range_temp_c = (15.0, 35.0) +chart_default.limits.range_humidity_g_kg = (5, 25) +chart_default.config.saturation.linewidth = 1 +chart_default.config.constant_wet_temp.color = "darkblue" +# plot +axes = chart_default.plot() +axes.get_figure() +# or store on disk +chart_default.save("my-custom-chart.svg") +``` + +Called from the terminal (`python psychrochart`), it plots and shows the default chart using the default matplotlib backend, equivalent to this python script: + +```python +from psychrochart import PsychroChart +import matplotlib.pyplot as plt + +PsychroChart.create().plot(ax=plt.gca()) +plt.show() +``` + +### Chart customization + +The default styling for charts is defined in JSON files that you can change, or you can pass a path of a file in JSON, or a dict, when you create the psychrometric chart object. +Included styles are: `default`, `ashrae`, `ashrae_ip` (adjusted for IP units), `interior`, and `minimal`. + +```python +from pathlib import Path +from psychrochart import load_config, PsychroChart + +# Load preconfigured styles: +chart_ashrae_style = PsychroChart.create('ashrae') +chart_ashrae_style.plot() + +chart_minimal = PsychroChart.create('minimal') +chart_minimal.plot() + +# Get a preconfigured style model and customize it +chart_config = load_config('interior') +chart_config.limits.range_temp_c = (18.0, 32.0) +chart_config.limits.range_humidity_g_kg = (1.0, 40.0) +chart_config.limits.altitude_m = 3000 + +custom_chart = PsychroChart.create(chart_config) +custom_chart.save("custom-chart.svg") + +# serialize the config for future uses +assert chart_config.json() == custom_chart.config.json() +Path('path/to/chart_config_file.json').write_text(chart_config.json()) +custom_chart_bis = PsychroChart.create('path/to/chart_config_file.json') +# or even the full psychrochart +Path('path/to/chart_file.json').write_text(custom_chart.json()) +custom_chart_bis_2 = PsychroChart.parse_file('path/to/chart_file.json') + +# Specify the styles JSON file: +chart_custom = PsychroChart.create('/path/to/json_file.json') +chart_custom.plot() + +# Pass a dict with the changes wanted: +custom_style = { + "figure": { + "figsize": [12, 8], + "base_fontsize": 12, + "title": "My chart", + "x_label": None, + "y_label": None, + "partial_axis": False + }, + "limits": { + "range_temp_c": [15, 30], + "range_humidity_g_kg": [0, 25], + "altitude_m": 900, + "step_temp": .5 + }, + "saturation": {"color": [0, .3, 1.], "linewidth": 2}, + "constant_rh": {"color": [0.0, 0.498, 1.0, .7], "linewidth": 2.5, + "linestyle": ":"}, + "chart_params": { + "with_constant_rh": True, + "constant_rh_curves": [25, 50, 75], + "constant_rh_labels": [25, 50, 75], + "with_constant_v": False, + "with_constant_h": False, + "with_constant_wet_temp": False, + "with_zones": False + } +} + +chart_custom_2 = PsychroChart.create(custom_style) +chart_custom_2.plot() +``` + +The custom configuration does not need to include all fields, but only the fields you want to change. + +To play with it and see the results, look at this **[notebook with usage examples](https://github.com/azogue/psychrochart/blob/master/notebooks/Usage%20example%20of%20psychrochart.ipynb)**. + +## Development and testing + +To run the tests, clone the repository, `poetry install` it, and run `poetry run pytest`. + +Run `poetry run pre-commit run --all-files` to apply linters for changes in the code 😜. + +## License + +[MIT license](https://github.com/azogue/psychrochart/blob/master/LICENSE), so do with it as you like ;-) + +## Included styling examples + +**Default style**: + +<img src="./tests/example-charts/test_default_psychrochart.svg" width="100%" height="100%"> + +**ASHRAE Handbook black and white style**: (preset: `ashrae`) + +<img src="./tests/example-charts/test_ashrae_psychrochart.svg" width="100%" height="100%"> + +**ASHRAE Handbook black and white style (IP units)**: (preset: `ashrae_ip`) + +<img src="./tests/example-charts/test_ashrae_psychrochart_ip.svg" width="100%" height="100%"> + +**Minimal style**: (preset: `minimal`) + +<img src="./tests/example-charts/test_minimal_psychrochart.svg" width="100%" height="100%"> + + +%package help +Summary: Development documents and examples for psychrochart +Provides: python3-psychrochart-doc +%description help +[![pre-commit.ci Status][pre-commit-ci-image]][pre-commit-ci-url] +[![Build Status][build-image]][build-url] +[![PyPI Version][pypi-image]][pypi-url] + +<!-- Badges --> + +[pre-commit-ci-image]: https://results.pre-commit.ci/badge/github/azogue/psychrochart/master.svg +[pre-commit-ci-url]: https://results.pre-commit.ci/latest/github/azogue/psychrochart/master +[build-image]: https://github.com/azogue/psychrochart/actions/workflows/main.yml/badge.svg +[build-url]: https://github.com/azogue/psychrochart/actions/workflows/main.yml +[pypi-image]: https://img.shields.io/pypi/v/psychrochart +[pypi-url]: https://pypi.org/project/psychrochart/ + +# Psychrochart + +A python 3 library to make **[psychrometric charts](https://en.wikipedia.org/wiki/Psychrometrics)** and overlay information on them. + +It implements a useful collection of psychrometric equations for moisture and humid air calculations, and the generation of beautiful and high customizable **psychrometric charts in SVG** with [`matplotlib`](https://matplotlib.org). + +**Psychrometric calculations to make the chart data are done with [`PsychroLib`](https://github.com/psychrometrics/psychrolib)** (summary paper in https://doi.org/10.21105/joss.01137). + +<img src="./tests/example-charts/chart_overlay_style_minimal.svg" width="100%" height="100%"> + +## Install + +Get it **[from pypi](https://pypi.python.org/pypi?:action=display&name=psychrochart)** or **[clone it](https://github.com/azogue/psychrochart.git)** if you want to run the tests. + +```shell +pip install psychrochart +``` + +## Features + +- **SI** units (with temperatures in celsius for better readability), with _partial_ compatibility with IP system (imperial units) +- Easy style customization based on [**pydantic**](https://docs.pydantic.dev/latest/) models and config presets for full customization of **chart limits**, included lines and labels, colors, line styles, line widths, etc.. +- Psychrometric charts within temperature and humidity ratio ranges, for any pressure\*, with: + - **Saturation line** + - **Constant RH lines** + - **Constant enthalpy lines** + - **Constant wet-bulb temperature lines** + - **Constant specific volume lines** + - **Constant dry-bulb temperature lines** (internal orthogonal grid, vertical) + - **Constant humidity ratio lines** (internal orthogonal grid, horizontal) +- Plot legend for each family of lines, labeled zones and annotations +- Specify labels for each family of lines +- Overlay points, arrows, **data-series** (numpy arrays or pandas series), and convex hulls around points +- Define multiple kinds of **zones limited by psychrometric values**: + - 'dbt-rh' for areas between dry-bulb temperature and relative humidity values, + - 'enthalpy-rh' for areas between constant enthalpy and relative humidity values + - 'volume-rh' for areas between constant volume and relative humidity values + - 'dbt-wmax' for an area between dry-bulb temperature and water vapor content values (:= a rectangle cut by the saturation line), + - 'xy-points' to define arbitrary closed paths in plot coordinates (dbt, abs humidity) +- **Export as SVG, PNG files**, or generate dynamic SVGs with extra CSS and <defs> with `chart.make_svg(...)` + +> NOTE: The ranges of temperature, humidity and pressure where this library should provide good results are within the normal environments for people to live in. +> +> Don't expect right results if doing other type of thermodynamic calculations. +> +> ⚠️ **Over saturated water vapor states are not implemented**. This library is intended for HVAC applications only ⚠️ + +## Usage + +```python +from psychrochart import PsychroChart + +# Load default style: +chart_default = PsychroChart.create() +# customize anything +chart_default.limits.range_temp_c = (15.0, 35.0) +chart_default.limits.range_humidity_g_kg = (5, 25) +chart_default.config.saturation.linewidth = 1 +chart_default.config.constant_wet_temp.color = "darkblue" +# plot +axes = chart_default.plot() +axes.get_figure() +# or store on disk +chart_default.save("my-custom-chart.svg") +``` + +Called from the terminal (`python psychrochart`), it plots and shows the default chart using the default matplotlib backend, equivalent to this python script: + +```python +from psychrochart import PsychroChart +import matplotlib.pyplot as plt + +PsychroChart.create().plot(ax=plt.gca()) +plt.show() +``` + +### Chart customization + +The default styling for charts is defined in JSON files that you can change, or you can pass a path of a file in JSON, or a dict, when you create the psychrometric chart object. +Included styles are: `default`, `ashrae`, `ashrae_ip` (adjusted for IP units), `interior`, and `minimal`. + +```python +from pathlib import Path +from psychrochart import load_config, PsychroChart + +# Load preconfigured styles: +chart_ashrae_style = PsychroChart.create('ashrae') +chart_ashrae_style.plot() + +chart_minimal = PsychroChart.create('minimal') +chart_minimal.plot() + +# Get a preconfigured style model and customize it +chart_config = load_config('interior') +chart_config.limits.range_temp_c = (18.0, 32.0) +chart_config.limits.range_humidity_g_kg = (1.0, 40.0) +chart_config.limits.altitude_m = 3000 + +custom_chart = PsychroChart.create(chart_config) +custom_chart.save("custom-chart.svg") + +# serialize the config for future uses +assert chart_config.json() == custom_chart.config.json() +Path('path/to/chart_config_file.json').write_text(chart_config.json()) +custom_chart_bis = PsychroChart.create('path/to/chart_config_file.json') +# or even the full psychrochart +Path('path/to/chart_file.json').write_text(custom_chart.json()) +custom_chart_bis_2 = PsychroChart.parse_file('path/to/chart_file.json') + +# Specify the styles JSON file: +chart_custom = PsychroChart.create('/path/to/json_file.json') +chart_custom.plot() + +# Pass a dict with the changes wanted: +custom_style = { + "figure": { + "figsize": [12, 8], + "base_fontsize": 12, + "title": "My chart", + "x_label": None, + "y_label": None, + "partial_axis": False + }, + "limits": { + "range_temp_c": [15, 30], + "range_humidity_g_kg": [0, 25], + "altitude_m": 900, + "step_temp": .5 + }, + "saturation": {"color": [0, .3, 1.], "linewidth": 2}, + "constant_rh": {"color": [0.0, 0.498, 1.0, .7], "linewidth": 2.5, + "linestyle": ":"}, + "chart_params": { + "with_constant_rh": True, + "constant_rh_curves": [25, 50, 75], + "constant_rh_labels": [25, 50, 75], + "with_constant_v": False, + "with_constant_h": False, + "with_constant_wet_temp": False, + "with_zones": False + } +} + +chart_custom_2 = PsychroChart.create(custom_style) +chart_custom_2.plot() +``` + +The custom configuration does not need to include all fields, but only the fields you want to change. + +To play with it and see the results, look at this **[notebook with usage examples](https://github.com/azogue/psychrochart/blob/master/notebooks/Usage%20example%20of%20psychrochart.ipynb)**. + +## Development and testing + +To run the tests, clone the repository, `poetry install` it, and run `poetry run pytest`. + +Run `poetry run pre-commit run --all-files` to apply linters for changes in the code 😜. + +## License + +[MIT license](https://github.com/azogue/psychrochart/blob/master/LICENSE), so do with it as you like ;-) + +## Included styling examples + +**Default style**: + +<img src="./tests/example-charts/test_default_psychrochart.svg" width="100%" height="100%"> + +**ASHRAE Handbook black and white style**: (preset: `ashrae`) + +<img src="./tests/example-charts/test_ashrae_psychrochart.svg" width="100%" height="100%"> + +**ASHRAE Handbook black and white style (IP units)**: (preset: `ashrae_ip`) + +<img src="./tests/example-charts/test_ashrae_psychrochart_ip.svg" width="100%" height="100%"> + +**Minimal style**: (preset: `minimal`) + +<img src="./tests/example-charts/test_minimal_psychrochart.svg" width="100%" height="100%"> + + +%prep +%autosetup -n psychrochart-0.9.1 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-psychrochart -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.9.1-1 +- Package Spec generated |