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Add graphs
This commit is contained in:
parent
4661525e30
commit
0e005cf815
4 changed files with 263 additions and 8 deletions
220
poetry.lock
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220
poetry.lock
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@ -157,6 +157,14 @@ category = "main"
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optional = false
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python-versions = ">=3.7"
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[[package]]
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name = "cycler"
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version = "0.11.0"
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description = "Composable style cycles"
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category = "main"
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optional = false
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python-versions = ">=3.6"
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[[package]]
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name = "distlib"
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version = "0.3.4"
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@ -266,6 +274,28 @@ python-versions = ">=3.7"
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docs = ["furo (>=2021.8.17b43)", "sphinx (>=4.1)", "sphinx-autodoc-typehints (>=1.12)"]
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testing = ["covdefaults (>=1.2.0)", "coverage (>=4)", "pytest (>=4)", "pytest-cov", "pytest-timeout (>=1.4.2)"]
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[[package]]
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name = "fonttools"
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version = "4.33.3"
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description = "Tools to manipulate font files"
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category = "main"
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optional = false
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python-versions = ">=3.7"
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[package.extras]
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all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
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graphite = ["lz4 (>=1.7.4.2)"]
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interpolatable = ["scipy", "munkres"]
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lxml = ["lxml (>=4.0,<5)"]
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pathops = ["skia-pathops (>=0.5.0)"]
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plot = ["matplotlib"]
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repacker = ["uharfbuzz (>=0.23.0)"]
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symfont = ["sympy"]
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type1 = ["xattr"]
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ufo = ["fs (>=2.2.0,<3)"]
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unicode = ["unicodedata2 (>=14.0.0)"]
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woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
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[[package]]
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name = "greenlet"
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version = "1.1.2"
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@ -326,6 +356,33 @@ category = "dev"
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optional = false
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python-versions = "*"
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[[package]]
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name = "kiwisolver"
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version = "1.4.2"
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description = "A fast implementation of the Cassowary constraint solver"
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category = "main"
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optional = false
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python-versions = ">=3.7"
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[[package]]
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name = "matplotlib"
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version = "3.5.1"
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description = "Python plotting package"
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category = "main"
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optional = false
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python-versions = ">=3.7"
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[package.dependencies]
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cycler = ">=0.10"
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fonttools = ">=4.22.0"
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kiwisolver = ">=1.0.1"
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numpy = ">=1.17"
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packaging = ">=20.0"
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pillow = ">=6.2.0"
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pyparsing = ">=2.2.1"
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python-dateutil = ">=2.7"
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setuptools_scm = ">=4"
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[[package]]
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name = "model-bakery"
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version = "1.5.0"
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@ -345,11 +402,19 @@ category = "dev"
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optional = false
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python-versions = "*"
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[[package]]
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name = "numpy"
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version = "1.22.3"
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description = "NumPy is the fundamental package for array computing with Python."
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category = "main"
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optional = false
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python-versions = ">=3.8"
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[[package]]
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name = "packaging"
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version = "21.3"
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description = "Core utilities for Python packages"
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category = "dev"
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category = "main"
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optional = false
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python-versions = ">=3.6"
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@ -442,7 +507,7 @@ python-versions = ">=3.5"
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name = "pyparsing"
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version = "3.0.8"
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description = "pyparsing module - Classes and methods to define and execute parsing grammars"
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category = "dev"
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category = "main"
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optional = false
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python-versions = ">=3.6.8"
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@ -500,6 +565,17 @@ pytest = ">=5.4.0"
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docs = ["sphinx", "sphinx-rtd-theme"]
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testing = ["django", "django-configurations (>=2.0)"]
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[[package]]
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name = "python-dateutil"
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version = "2.8.2"
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description = "Extensions to the standard Python datetime module"
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category = "main"
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optional = false
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python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
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[package.dependencies]
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six = ">=1.5"
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[[package]]
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name = "python-gitlab"
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version = "3.3.0"
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@ -569,6 +645,22 @@ category = "dev"
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optional = false
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python-versions = ">=3.6.*"
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[[package]]
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name = "setuptools-scm"
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version = "6.4.2"
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description = "the blessed package to manage your versions by scm tags"
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category = "main"
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optional = false
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python-versions = ">=3.6"
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[package.dependencies]
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packaging = ">=20.0"
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tomli = ">=1.0.0"
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[package.extras]
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test = ["pytest (>=6.2)", "virtualenv (>20)"]
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toml = ["setuptools (>=42)"]
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[[package]]
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name = "six"
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version = "1.16.0"
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@ -597,7 +689,7 @@ python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
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name = "tomli"
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version = "2.0.1"
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description = "A lil' TOML parser"
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category = "dev"
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category = "main"
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optional = false
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python-versions = ">=3.7"
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@ -665,7 +757,7 @@ brotli = ["brotli"]
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[metadata]
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lock-version = "1.1"
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python-versions = "^3.10"
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[metadata.files]
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asgiref = [
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@ -850,6 +942,10 @@ cwcwidth = [
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@ -886,6 +982,10 @@ filelock = [
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greenlet = [
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@ -963,6 +1063,88 @@ invoke = [
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|
||||
{file = "kiwisolver-1.4.2-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:484f2a5f0307bc944bc79db235f41048bae4106ffa764168a068d88b644b305d"},
|
||||
{file = "kiwisolver-1.4.2-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0e8afdf533b613122e4bbaf3c1e42c2a5e9e2d1dd3a0a017749a7658757cb377"},
|
||||
{file = "kiwisolver-1.4.2-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:42f6ef9b640deb6f7d438e0a371aedd8bef6ddfde30683491b2e6f568b4e884e"},
|
||||
{file = "kiwisolver-1.4.2.tar.gz", hash = "sha256:7f606d91b8a8816be476513a77fd30abe66227039bd6f8b406c348cb0247dcc9"},
|
||||
]
|
||||
matplotlib = [
|
||||
{file = "matplotlib-3.5.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:456cc8334f6d1124e8ff856b42d2cc1c84335375a16448189999496549f7182b"},
|
||||
{file = "matplotlib-3.5.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8a77906dc2ef9b67407cec0bdbf08e3971141e535db888974a915be5e1e3efc6"},
|
||||
{file = "matplotlib-3.5.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e70ae6475cfd0fad3816dcbf6cac536dc6f100f7474be58d59fa306e6e768a4"},
|
||||
{file = "matplotlib-3.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:53273c5487d1c19c3bc03b9eb82adaf8456f243b97ed79d09dded747abaf1235"},
|
||||
{file = "matplotlib-3.5.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e3b6f3fd0d8ca37861c31e9a7cab71a0ef14c639b4c95654ea1dd153158bf0df"},
|
||||
{file = "matplotlib-3.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8c87cdaf06fd7b2477f68909838ff4176f105064a72ca9d24d3f2a29f73d393"},
|
||||
{file = "matplotlib-3.5.1-cp310-cp310-win32.whl", hash = "sha256:e2f28a07b4f82abb40267864ad7b3a4ed76f1b1663e81c7efc84a9b9248f672f"},
|
||||
{file = "matplotlib-3.5.1-cp310-cp310-win_amd64.whl", hash = "sha256:d70a32ee1f8b55eed3fd4e892f0286df8cccc7e0475c11d33b5d0a148f5c7599"},
|
||||
{file = "matplotlib-3.5.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:68fa30cec89b6139dc559ed6ef226c53fd80396da1919a1b5ef672c911aaa767"},
|
||||
{file = "matplotlib-3.5.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e3484d8455af3fdb0424eae1789af61f6a79da0c80079125112fd5c1b604218"},
|
||||
{file = "matplotlib-3.5.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e293b16cf303fe82995e41700d172a58a15efc5331125d08246b520843ef21ee"},
|
||||
{file = "matplotlib-3.5.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:e3520a274a0e054e919f5b3279ee5dbccf5311833819ccf3399dab7c83e90a25"},
|
||||
{file = "matplotlib-3.5.1-cp37-cp37m-win32.whl", hash = "sha256:2252bfac85cec7af4a67e494bfccf9080bcba8a0299701eab075f48847cca907"},
|
||||
{file = "matplotlib-3.5.1-cp37-cp37m-win_amd64.whl", hash = "sha256:abf67e05a1b7f86583f6ebd01f69b693b9c535276f4e943292e444855870a1b8"},
|
||||
{file = "matplotlib-3.5.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:6c094e4bfecd2fa7f9adffd03d8abceed7157c928c2976899de282f3600f0a3d"},
|
||||
{file = "matplotlib-3.5.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:506b210cc6e66a0d1c2bb765d055f4f6bc2745070fb1129203b67e85bbfa5c18"},
|
||||
{file = "matplotlib-3.5.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b04fc29bcef04d4e2d626af28d9d892be6aba94856cb46ed52bcb219ceac8943"},
|
||||
{file = "matplotlib-3.5.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:577ed20ec9a18d6bdedb4616f5e9e957b4c08563a9f985563a31fd5b10564d2a"},
|
||||
{file = "matplotlib-3.5.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e486f60db0cd1c8d68464d9484fd2a94011c1ac8593d765d0211f9daba2bd535"},
|
||||
{file = "matplotlib-3.5.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:b71f3a7ca935fc759f2aed7cec06cfe10bc3100fadb5dbd9c435b04e557971e1"},
|
||||
{file = "matplotlib-3.5.1-cp38-cp38-win32.whl", hash = "sha256:d24e5bb8028541ce25e59390122f5e48c8506b7e35587e5135efcb6471b4ac6c"},
|
||||
{file = "matplotlib-3.5.1-cp38-cp38-win_amd64.whl", hash = "sha256:778d398c4866d8e36ee3bf833779c940b5f57192fa0a549b3ad67bc4c822771b"},
|
||||
{file = "matplotlib-3.5.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:bb1c613908f11bac270bc7494d68b1ef6e7c224b7a4204d5dacf3522a41e2bc3"},
|
||||
{file = "matplotlib-3.5.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:edf5e4e1d5fb22c18820e8586fb867455de3b109c309cb4fce3aaed85d9468d1"},
|
||||
{file = "matplotlib-3.5.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:40e0d7df05e8efe60397c69b467fc8f87a2affeb4d562fe92b72ff8937a2b511"},
|
||||
{file = "matplotlib-3.5.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7a350ca685d9f594123f652ba796ee37219bf72c8e0fc4b471473d87121d6d34"},
|
||||
{file = "matplotlib-3.5.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3e66497cd990b1a130e21919b004da2f1dc112132c01ac78011a90a0f9229778"},
|
||||
{file = "matplotlib-3.5.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:87900c67c0f1728e6db17c6809ec05c025c6624dcf96a8020326ea15378fe8e7"},
|
||||
{file = "matplotlib-3.5.1-cp39-cp39-win32.whl", hash = "sha256:b8a4fb2a0c5afbe9604f8a91d7d0f27b1832c3e0b5e365f95a13015822b4cd65"},
|
||||
{file = "matplotlib-3.5.1-cp39-cp39-win_amd64.whl", hash = "sha256:fe8d40c434a8e2c68d64c6d6a04e77f21791a93ff6afe0dce169597c110d3079"},
|
||||
{file = "matplotlib-3.5.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:34a1fc29f8f96e78ec57a5eff5e8d8b53d3298c3be6df61e7aa9efba26929522"},
|
||||
{file = "matplotlib-3.5.1-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:b19a761b948e939a9e20173aaae76070025f0024fc8f7ba08bef22a5c8573afc"},
|
||||
{file = "matplotlib-3.5.1-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:6803299cbf4665eca14428d9e886de62e24f4223ac31ab9c5d6d5339a39782c7"},
|
||||
{file = "matplotlib-3.5.1-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:14334b9902ec776461c4b8c6516e26b450f7ebe0b3ef8703bf5cdfbbaecf774a"},
|
||||
{file = "matplotlib-3.5.1.tar.gz", hash = "sha256:b2e9810e09c3a47b73ce9cab5a72243a1258f61e7900969097a817232246ce1c"},
|
||||
]
|
||||
model-bakery = [
|
||||
{file = "model_bakery-1.5.0-py2.py3-none-any.whl", hash = "sha256:e4e09e1c536e3b7d5e7a827d4d1ccd4540dea56062d766b506d86067d3a94dea"},
|
||||
{file = "model_bakery-1.5.0.tar.gz", hash = "sha256:ed533de56df7af4f08f786f82532802f994e2ef01d8366ec4fe6d588585d8ac7"},
|
||||
|
|
@ -971,6 +1153,28 @@ nodeenv = [
|
|||
{file = "nodeenv-1.6.0-py2.py3-none-any.whl", hash = "sha256:621e6b7076565ddcacd2db0294c0381e01fd28945ab36bcf00f41c5daf63bef7"},
|
||||
{file = "nodeenv-1.6.0.tar.gz", hash = "sha256:3ef13ff90291ba2a4a7a4ff9a979b63ffdd00a464dbe04acf0ea6471517a4c2b"},
|
||||
]
|
||||
numpy = [
|
||||
{file = "numpy-1.22.3-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:92bfa69cfbdf7dfc3040978ad09a48091143cffb778ec3b03fa170c494118d75"},
|
||||
{file = "numpy-1.22.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8251ed96f38b47b4295b1ae51631de7ffa8260b5b087808ef09a39a9d66c97ab"},
|
||||
{file = "numpy-1.22.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:48a3aecd3b997bf452a2dedb11f4e79bc5bfd21a1d4cc760e703c31d57c84b3e"},
|
||||
{file = "numpy-1.22.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a3bae1a2ed00e90b3ba5f7bd0a7c7999b55d609e0c54ceb2b076a25e345fa9f4"},
|
||||
{file = "numpy-1.22.3-cp310-cp310-win32.whl", hash = "sha256:f950f8845b480cffe522913d35567e29dd381b0dc7e4ce6a4a9f9156417d2430"},
|
||||
{file = "numpy-1.22.3-cp310-cp310-win_amd64.whl", hash = "sha256:08d9b008d0156c70dc392bb3ab3abb6e7a711383c3247b410b39962263576cd4"},
|
||||
{file = "numpy-1.22.3-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:201b4d0552831f7250a08d3b38de0d989d6f6e4658b709a02a73c524ccc6ffce"},
|
||||
{file = "numpy-1.22.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:f8c1f39caad2c896bc0018f699882b345b2a63708008be29b1f355ebf6f933fe"},
|
||||
{file = "numpy-1.22.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:568dfd16224abddafb1cbcce2ff14f522abe037268514dd7e42c6776a1c3f8e5"},
|
||||
{file = "numpy-1.22.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ca688e1b9b95d80250bca34b11a05e389b1420d00e87a0d12dc45f131f704a1"},
|
||||
{file = "numpy-1.22.3-cp38-cp38-win32.whl", hash = "sha256:e7927a589df200c5e23c57970bafbd0cd322459aa7b1ff73b7c2e84d6e3eae62"},
|
||||
{file = "numpy-1.22.3-cp38-cp38-win_amd64.whl", hash = "sha256:07a8c89a04997625236c5ecb7afe35a02af3896c8aa01890a849913a2309c676"},
|
||||
{file = "numpy-1.22.3-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:2c10a93606e0b4b95c9b04b77dc349b398fdfbda382d2a39ba5a822f669a0123"},
|
||||
{file = "numpy-1.22.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:fade0d4f4d292b6f39951b6836d7a3c7ef5b2347f3c420cd9820a1d90d794802"},
|
||||
{file = "numpy-1.22.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5bfb1bb598e8229c2d5d48db1860bcf4311337864ea3efdbe1171fb0c5da515d"},
|
||||
{file = "numpy-1.22.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:97098b95aa4e418529099c26558eeb8486e66bd1e53a6b606d684d0c3616b168"},
|
||||
{file = "numpy-1.22.3-cp39-cp39-win32.whl", hash = "sha256:fdf3c08bce27132395d3c3ba1503cac12e17282358cb4bddc25cc46b0aca07aa"},
|
||||
{file = "numpy-1.22.3-cp39-cp39-win_amd64.whl", hash = "sha256:639b54cdf6aa4f82fe37ebf70401bbb74b8508fddcf4797f9fe59615b8c5813a"},
|
||||
{file = "numpy-1.22.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c34ea7e9d13a70bf2ab64a2532fe149a9aced424cd05a2c4ba662fd989e3e45f"},
|
||||
{file = "numpy-1.22.3.zip", hash = "sha256:dbc7601a3b7472d559dc7b933b18b4b66f9aa7452c120e87dfb33d02008c8a18"},
|
||||
]
|
||||
packaging = [
|
||||
{file = "packaging-21.3-py3-none-any.whl", hash = "sha256:ef103e05f519cdc783ae24ea4e2e0f508a9c99b2d4969652eed6a2e1ea5bd522"},
|
||||
{file = "packaging-21.3.tar.gz", hash = "sha256:dd47c42927d89ab911e606518907cc2d3a1f38bbd026385970643f9c5b8ecfeb"},
|
||||
|
|
@ -1055,6 +1259,10 @@ pytest-django = [
|
|||
{file = "pytest-django-4.5.2.tar.gz", hash = "sha256:d9076f759bb7c36939dbdd5ae6633c18edfc2902d1a69fdbefd2426b970ce6c2"},
|
||||
{file = "pytest_django-4.5.2-py3-none-any.whl", hash = "sha256:c60834861933773109334fe5a53e83d1ef4828f2203a1d6a0fa9972f4f75ab3e"},
|
||||
]
|
||||
python-dateutil = [
|
||||
{file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
|
||||
{file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
|
||||
]
|
||||
python-gitlab = [
|
||||
{file = "python-gitlab-3.3.0.tar.gz", hash = "sha256:fef25d41a62f91da82ee20f72a728b9c69eef34cf0a3005cdbb9a0b471d5b498"},
|
||||
{file = "python_gitlab-3.3.0-py3-none-any.whl", hash = "sha256:ab1fd4c98a206f22f01f832bc58f24a09952089b7bbf67cdaee6308e7797503f"},
|
||||
|
|
@ -1110,6 +1318,10 @@ semver = [
|
|||
{file = "semver-3.0.0.dev3-py3-none-any.whl", hash = "sha256:10651d0dacffdce7a2f0658e58894b138f52c2a080f7d69aa999810ebfc1f97d"},
|
||||
{file = "semver-3.0.0.dev3.tar.gz", hash = "sha256:7175229bdcf96a6702b077e30226f041ce112057146ae81e84b51df08a8a75cf"},
|
||||
]
|
||||
setuptools-scm = [
|
||||
{file = "setuptools_scm-6.4.2-py3-none-any.whl", hash = "sha256:acea13255093849de7ccb11af9e1fb8bde7067783450cee9ef7a93139bddf6d4"},
|
||||
{file = "setuptools_scm-6.4.2.tar.gz", hash = "sha256:6833ac65c6ed9711a4d5d2266f8024cfa07c533a0e55f4c12f6eff280a5a9e30"},
|
||||
]
|
||||
six = [
|
||||
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
|
||||
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
|
||||
|
|
|
|||
|
|
@ -19,6 +19,7 @@ gunicorn = "^20.1.0"
|
|||
Pillow = "^9.1.0"
|
||||
django-crispy-forms = "^1.14.0"
|
||||
crispy-bootstrap5 = "^0.6"
|
||||
matplotlib = "^3.5.1"
|
||||
|
||||
[tool.poetry.dev-dependencies]
|
||||
pre-commit = "^2.7"
|
||||
|
|
|
|||
|
|
@ -26,6 +26,8 @@
|
|||
|
||||
<h2>{% translate "Products" %}</h2>
|
||||
{% include "purchase/snippets/report_products.html" %}
|
||||
{{ products_sold_plot|safe }}
|
||||
{{ products_turnover_plot|safe }}
|
||||
|
||||
<h2>{% translate "Turnover by payment method" %}</h2>
|
||||
{% include "purchase/snippets/report_payment_methods.html" %}
|
||||
|
|
|
|||
|
|
@ -1,7 +1,11 @@
|
|||
from django.db.models import Avg, Sum
|
||||
from django.views.generic import TemplateView
|
||||
from io import StringIO
|
||||
|
||||
from purchase.models import Basket, PaymentMethod, Product
|
||||
from django.utils.translation import gettext as _
|
||||
from django.views.generic import TemplateView
|
||||
from matplotlib import pyplot as plt
|
||||
from matplotlib import ticker
|
||||
|
||||
from purchase.models import Basket, PaymentMethod, Product, ProductQuerySet
|
||||
from purchase.views.utils import ProtectedViewsMixin
|
||||
|
||||
|
||||
|
|
@ -19,15 +23,51 @@ class ReportsView(ProtectedViewsMixin, TemplateView):
|
|||
date: Basket.objects.by_date(date).turnover() for date in dates
|
||||
}
|
||||
|
||||
products = Product.objects.with_turnover().with_sold()
|
||||
products_sold_plot = self.get_products_sold_plot(products)
|
||||
products_turnover_plot = self.get_products_turnover_plot(products)
|
||||
context.update(
|
||||
{
|
||||
"turnover": Basket.objects.turnover(),
|
||||
"turnover_by_day": turnover_by_day,
|
||||
"average_basket": Basket.objects.average_basket(),
|
||||
"average_basket_by_day": average_basket_by_day,
|
||||
"products": Product.objects.with_turnover().with_sold(),
|
||||
"products": products,
|
||||
"products_sold_plot": products_sold_plot,
|
||||
"products_turnover_plot": products_turnover_plot,
|
||||
"payment_methods": PaymentMethod.objects.with_turnover().with_sold(),
|
||||
"no_payment_method": Basket.objects.no_payment_method().priced(),
|
||||
}
|
||||
)
|
||||
return context
|
||||
|
||||
def get_products_sold_plot(self, products: ProductQuerySet):
|
||||
labels = []
|
||||
values = []
|
||||
for product in products:
|
||||
labels.append(product.name)
|
||||
values.append(product.sold)
|
||||
fig = plt.figure()
|
||||
plt.bar(labels, values)
|
||||
plt.xticks(rotation=15)
|
||||
image_data = StringIO()
|
||||
plt.title(_("# sold"))
|
||||
fig.savefig(image_data, format="svg")
|
||||
image_data.seek(0)
|
||||
return image_data.getvalue()
|
||||
|
||||
def get_products_turnover_plot(self, products: ProductQuerySet):
|
||||
labels = []
|
||||
values = []
|
||||
for product in products:
|
||||
labels.append(product.name)
|
||||
values.append(product.turnover / 100)
|
||||
fig = plt.figure()
|
||||
plt.bar(labels, values)
|
||||
plt.xticks(rotation=15)
|
||||
plt.gca().yaxis.set_major_formatter(ticker.FormatStrFormatter("%.2f€"))
|
||||
image_data = StringIO()
|
||||
plt.title(_("Turnover"))
|
||||
fig.savefig(image_data, format="svg")
|
||||
image_data.seek(0)
|
||||
return image_data.getvalue()
|
||||
|
|
|
|||
Loading…
Reference in a new issue