From 309755383eee2de1f1ae1a76d460c910de5fc4cc Mon Sep 17 00:00:00 2001 From: TrisNol Date: Fri, 18 Aug 2023 14:15:05 +0200 Subject: [PATCH 01/18] Install deutschland package --- .../API-tests/Bundesanzeiger/notebook.ipynb | 20 +- poetry.lock | 10239 +++++++++------- pyproject.toml | 1 + 3 files changed, 5486 insertions(+), 4774 deletions(-) diff --git a/Jupyter/API-tests/Bundesanzeiger/notebook.ipynb b/Jupyter/API-tests/Bundesanzeiger/notebook.ipynb index 952cc6d..97e319b 100644 --- a/Jupyter/API-tests/Bundesanzeiger/notebook.ipynb +++ b/Jupyter/API-tests/Bundesanzeiger/notebook.ipynb @@ -18,9 +18,21 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'deutschland'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[1], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mpandas\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mpd\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mdeutschland\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mbundesanzeiger\u001b[39;00m \u001b[39mimport\u001b[39;00m Bundesanzeiger\n", + "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'deutschland'" + ] + } + ], "source": [ "import pandas as pd\n", "from deutschland.bundesanzeiger import Bundesanzeiger" @@ -310,7 +322,7 @@ }, { "cell_type": "code", - 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.../API-tests/Bundesanzeiger/notebook.ipynb | 246 ++++++++++-------- .../models/auditor.py | 10 + 2 files changed, 142 insertions(+), 114 deletions(-) create mode 100644 src/aki_prj23_transparenzregister/models/auditor.py diff --git a/Jupyter/API-tests/Bundesanzeiger/notebook.ipynb b/Jupyter/API-tests/Bundesanzeiger/notebook.ipynb index 97e319b..e32082e 100644 --- a/Jupyter/API-tests/Bundesanzeiger/notebook.ipynb +++ b/Jupyter/API-tests/Bundesanzeiger/notebook.ipynb @@ -18,21 +18,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 4, "metadata": {}, - "outputs": [ - { - "ename": "ModuleNotFoundError", - "evalue": "No module named 'deutschland'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[1], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mpandas\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mpd\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mdeutschland\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mbundesanzeiger\u001b[39;00m \u001b[39mimport\u001b[39;00m Bundesanzeiger\n", - "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'deutschland'" - ] - } - ], + "outputs": [], "source": [ "import pandas as pd\n", "from deutschland.bundesanzeiger import Bundesanzeiger" @@ -40,14 +28,14 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "dict_keys(['c1051233030a8e0232523052fd4a2310', '57d129e6fd7505d567fa13919e5e6bdd'])\n" + "dict_keys(['7e53c9211957c6a4c17264ab86946c3b', 'c1051233030a8e0232523052fd4a2310', '57d129e6fd7505d567fa13919e5e6bdd'])\n" ] } ], @@ -61,7 +49,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -72,7 +60,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -106,7 +94,7 @@ " \n", " \n", " 0\n", - " 2023-05-25\n", + " 2023-07-11\n", " Jahresabschluss zum Geschäftsjahr vom 01.01.20...\n", " Volkswagen Economy Service Erdle Bernhard Erdl...\n", " \\n\\n\\n\\n \\n\\n\\n\\n\\n\\n\\n\\nVolkswagen Economy Se...\n", @@ -114,6 +102,14 @@ " \n", " \n", " 1\n", + " 2023-05-25\n", + " Jahresabschluss zum Geschäftsjahr vom 01.01.20...\n", + " Volkswagen Economy Service Erdle Bernhard Erdl...\n", + " \\n\\n\\n\\n \\n\\n\\n\\n\\n\\n\\n\\nVolkswagen Economy Se...\n", + " <div class=\"publication_container\">\\n <div cla...\n", + " \n", + " \n", + " 2\n", " 2023-05-24\n", " Jahresabschluss zum Geschäftsjahr vom 01.01.20...\n", " Volkswagen Economy Service Erdle Bernhard Erdl...\n", @@ -126,23 +122,27 @@ ], "text/plain": [ " date name \\\n", - "0 2023-05-25 Jahresabschluss zum Geschäftsjahr vom 01.01.20... \n", - "1 2023-05-24 Jahresabschluss zum Geschäftsjahr vom 01.01.20... \n", + "0 2023-07-11 Jahresabschluss zum Geschäftsjahr vom 01.01.20... \n", + "1 2023-05-25 Jahresabschluss zum Geschäftsjahr vom 01.01.20... \n", + "2 2023-05-24 Jahresabschluss zum Geschäftsjahr vom 01.01.20... \n", "\n", " company \\\n", "0 Volkswagen Economy Service Erdle Bernhard Erdl... \n", "1 Volkswagen Economy Service Erdle Bernhard Erdl... \n", + "2 Volkswagen Economy Service Erdle Bernhard Erdl... \n", "\n", " report \\\n", "0 \\n\\n\\n\\n \\n\\n\\n\\n\\n\\n\\n\\nVolkswagen Economy Se... \n", "1 \\n\\n\\n\\n \\n\\n\\n\\n\\n\\n\\n\\nVolkswagen Economy Se... \n", + "2 \\n\\n\\n\\n \\n\\n\\n\\n\\n\\n\\n\\nVolkswagen Economy Se... \n", "\n", " raw_report \n", "0
\\n
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\n", " \n", " 0\n", - " 2023-05-25\n", + " 2023-07-11\n", " Jahresabschluss zum Geschäftsjahr vom 01.01.20...\n", " Volkswagen Economy Service Erdle Bernhard Erdl...\n", " \\n\\n\\n\\n \\n\\n\\n\\n\\n\\n\\n\\nVolkswagen Economy Se...\n", @@ -198,6 +198,15 @@ " \n", " \n", " 1\n", + " 2023-05-25\n", + " Jahresabschluss zum Geschäftsjahr vom 01.01.20...\n", + " Volkswagen Economy Service Erdle Bernhard Erdl...\n", + " \\n\\n\\n\\n \\n\\n\\n\\n\\n\\n\\n\\nVolkswagen Economy Se...\n", + " <div class=\"publication_container\">\\n <div cla...\n", + " Jahresabschluss\n", + " \n", + " \n", + " 2\n", " 2023-05-24\n", " Jahresabschluss zum Geschäftsjahr vom 01.01.20...\n", " Volkswagen Economy Service Erdle Bernhard Erdl...\n", @@ -211,23 +220,27 @@ ], "text/plain": [ " date name \\\n", - "0 2023-05-25 Jahresabschluss zum Geschäftsjahr vom 01.01.20... \n", - "1 2023-05-24 Jahresabschluss zum Geschäftsjahr vom 01.01.20... \n", + "0 2023-07-11 Jahresabschluss zum Geschäftsjahr vom 01.01.20... \n", + "1 2023-05-25 Jahresabschluss zum Geschäftsjahr vom 01.01.20... \n", + "2 2023-05-24 Jahresabschluss zum Geschäftsjahr vom 01.01.20... \n", "\n", " company \\\n", "0 Volkswagen Economy Service Erdle Bernhard Erdl... \n", "1 Volkswagen Economy Service Erdle Bernhard Erdl... \n", + "2 Volkswagen Economy Service Erdle Bernhard Erdl... \n", "\n", " report \\\n", "0 \\n\\n\\n\\n \\n\\n\\n\\n\\n\\n\\n\\nVolkswagen Economy Se... \n", "1 \\n\\n\\n\\n \\n\\n\\n\\n\\n\\n\\n\\nVolkswagen Economy Se... \n", + "2 \\n\\n\\n\\n \\n\\n\\n\\n\\n\\n\\n\\nVolkswagen Economy Se... \n", "\n", " raw_report type \n", "0
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\n", " \n", " 0\n", + " 2023-07-11\n", + " Volkswagen Economy Service Erdle Bernhard Erdl...\n", + " <div class=\"publication_container\">\\n <div cla...\n", + " 2021\n", + " \n", + " \n", + " 1\n", " 2023-05-25\n", " Volkswagen Economy Service Erdle Bernhard Erdl...\n", " <div class=\"publication_container\">\\n <div cla...\n", " 2020\n", " \n", " \n", - " 1\n", + " 2\n", " 2023-05-24\n", " Volkswagen Economy Service Erdle Bernhard Erdl...\n", " <div class=\"publication_container\">\\n <div cla...\n", @@ -290,15 +310,17 @@ ], "text/plain": [ " date company \\\n", - "0 2023-05-25 Volkswagen Economy Service Erdle Bernhard Erdl... \n", - "1 2023-05-24 Volkswagen Economy Service Erdle Bernhard Erdl... \n", + "0 2023-07-11 Volkswagen Economy Service Erdle Bernhard Erdl... \n", + "1 2023-05-25 Volkswagen Economy Service Erdle Bernhard Erdl... \n", + "2 2023-05-24 Volkswagen Economy Service Erdle Bernhard Erdl... \n", "\n", " raw_report jahr \n", - "0
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str:\n", @@ -386,7 +402,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -395,7 +411,7 @@ "[]" ] }, - "execution_count": 41, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -430,16 +446,16 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'net_income': 23484.67, 'equity': 65083.84, 'current_assets': 357613.61}" + "{'net_income': 100238.5, 'equity': 165322.34, 'current_assets': 435344.07}" ] }, - "execution_count": 42, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -514,7 +530,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -530,7 +546,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -538,24 +554,30 @@ "output_type": "stream", "text": [ "MultiIndex([('Aktiva', 'Unnamed: 0_level_1'),\n", - " ('Aktiva', '31.12.2020 EUR'),\n", - " ('Aktiva', '31.12.2019 EUR')],\n", + " ('Aktiva', '31.12.2021 EUR'),\n", + " ('Aktiva', '31.12.2020 EUR')],\n", " )\n", "Aktiva Unnamed: 0_level_1 object\n", + " 31.12.2021 EUR object\n", " 31.12.2020 EUR object\n", - " 31.12.2019 EUR object\n", "dtype: object\n", "MultiIndex([('Passiva', 'Unnamed: 0_level_1'),\n", - " ('Passiva', '31.12.2020 EUR'),\n", - " ('Passiva', '31.12.2019 EUR')],\n", + " ('Passiva', '31.12.2021 EUR'),\n", + " ('Passiva', '31.12.2020 EUR')],\n", " )\n", "Passiva Unnamed: 0_level_1 object\n", + " 31.12.2021 EUR object\n", " 31.12.2020 EUR object\n", - " 31.12.2019 EUR object\n", "dtype: object\n", "Index(['Angaben zur Identifikation der Gesellschaft laut Registergericht', 'Angaben zur Identifikation der Gesellschaft laut Registergericht.1'], dtype='object')\n", "Angaben zur Identifikation der Gesellschaft laut Registergericht object\n", "Angaben zur Identifikation der Gesellschaft laut Registergericht.1 object\n", + "dtype: object\n", + "MultiIndex([('Kreditentwicklung', 'Unnamed: 0_level_1'),\n", + " ( 'Betrag', 'EUR')],\n", + " )\n", + "Kreditentwicklung Unnamed: 0_level_1 object\n", + "Betrag EUR object\n", "dtype: object\n" ] }, @@ -565,7 +587,7 @@ "{}" ] }, - "execution_count": 46, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -586,19 +608,46 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 22, "metadata": {}, "outputs": [ { - "ename": "KeyError", - "evalue": "'Passiva'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32mc:\\Users\\trist\\Documents\\Code\\M.Sc\\aki_prj23_transparenzregister\\Jupyter\\API-tests\\Bundesanzeiger\\notebook.ipynb Cell 21\u001b[0m in \u001b[0;36m1\n\u001b[0;32m 11\u001b[0m \u001b[39mreturn\u001b[39;00m result\n\u001b[0;32m 14\u001b[0m bilanz \u001b[39m=\u001b[39m get_bilanz(sample_report)\n\u001b[1;32m---> 15\u001b[0m bilanz[\u001b[39m\"\u001b[39;49m\u001b[39mPassiva\u001b[39;49m\u001b[39m\"\u001b[39;49m]\u001b[39m.\u001b[39mhead()\n", - "\u001b[1;31mKeyError\u001b[0m: 'Passiva'" - ] + "data": { + "text/html": [ + "
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"Index(['Unnamed: 0', '31.12.2021 TEUR', 'Vorjahr TEUR'], dtype='object')\n", - "Index(['Unnamed: 0', '31.12.2021 TEUR', 'Vorjahr TEUR'], dtype='object')\n", - "Index(['Unnamed: 0', '31.12.2021'], dtype='object')\n", - "Index(['Unnamed: 0', 'TEUR'], dtype='object')\n", - "Index(['Unnamed: 0', 'TEUR'], dtype='object')\n", - "Index(['Unnamed: 0', 'TEUR'], dtype='object')\n", - "Int64Index([0, 1, 2], dtype='int64')\n", - "Index(['Unnamed: 0', 'TEUR'], dtype='object')\n", - "Index(['Unnamed: 0', '31.12.2021 TEUR', 'Vorjahr TEUR'], dtype='object')\n", - "Index(['Unnamed: 0', '2021 Anzahl MA', 'Vorjahr Anzahl MA'], dtype='object')\n", - "MultiIndex([('Art des Geschäfts', 'Unnamed: 0_level_1'),\n", - " ('Art der Beziehung', 'Gesellschafterin TEUR'),\n", - " ('Art der Beziehung', 'Verbundene Unternehmen TEUR')],\n", + "MultiIndex([('Aktiva', 'Unnamed: 0_level_1'),\n", + " ('Aktiva', '31.12.2021 EUR'),\n", + " ('Aktiva', '31.12.2020 EUR')],\n", " )\n", - "Int64Index([0, 1], dtype='int64')\n", - 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" dtype='object')\n", - "Index(['Bilanz', '31.12.2021 TEUR', 'Vorjahr TEUR', 'Veränderung TEUR'], dtype='object')\n" + "Index(['Angaben zur Identifikation der Gesellschaft laut Registergericht', 'Angaben zur Identifikation der Gesellschaft laut Registergericht.1'], dtype='object')\n", + "MultiIndex([('Kreditentwicklung', 'Unnamed: 0_level_1'),\n", + " ( 'Betrag', 'EUR')],\n", + " )\n" ] } ], diff --git a/src/aki_prj23_transparenzregister/models/auditor.py b/src/aki_prj23_transparenzregister/models/auditor.py new file mode 100644 index 0000000..8cb2cf9 --- /dev/null +++ b/src/aki_prj23_transparenzregister/models/auditor.py @@ -0,0 +1,10 @@ +"""Auditor model.""" +from dataclasses import dataclass + + +@dataclass +class Auditor: + """Auditor.""" + + name: str + company: str From f64e0dd96eb4304c7d831464c4327fb8566d26c4 Mon Sep 17 00:00:00 2001 From: TrisNol Date: Fri, 18 Aug 2023 14:27:32 +0200 Subject: [PATCH 03/18] fix: Install deutschland via HTTPS link --- poetry.lock | 24 ++++++++++++------------ pyproject.toml | 2 +- 2 files changed, 13 insertions(+), 13 deletions(-) diff --git a/poetry.lock b/poetry.lock index 34ce429..1f370fd 100644 --- a/poetry.lock +++ b/poetry.lock @@ -483,13 +483,13 @@ files = [ [[package]] name = "click" -version = "8.1.6" +version = "8.1.7" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.7" files = [ - {file = "click-8.1.6-py3-none-any.whl", hash = "sha256:fa244bb30b3b5ee2cae3da8f55c9e5e0c0e86093306301fb418eb9dc40fbded5"}, - {file = "click-8.1.6.tar.gz", hash = "sha256:48ee849951919527a045bfe3bf7baa8a959c423134e1a5b98c05c20ba75a1cbd"}, + {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"}, + {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"}, ] [package.dependencies] @@ -1162,7 +1162,7 @@ weiterbildungssuche = ["de-weiterbildungssuche (>=0.1.0,<0.2.0)"] [package.source] type = "git" -url = "git@github.com:TrisNol/deutschland.git" +url = "https://github.com/TrisNol/deutschland.git" reference = "hotfix/python-3.11-support" resolved_reference = "29dd9d833707c68ae1574539bb6e62f4d4f5b683" @@ -1940,13 +1940,13 @@ jupyter-server = ">=1.1.2" [[package]] name = "jupyter-server" -version = "2.7.1" +version = "2.7.2" description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications." optional = false python-versions = ">=3.8" files = [ - {file = "jupyter_server-2.7.1-py3-none-any.whl", hash = "sha256:59838bf20759354e2b4222fed702948a934cb21a503e21cd5b03706a456391d9"}, - {file = "jupyter_server-2.7.1.tar.gz", hash = "sha256:76b4ae0b568c331acc9aa904fc4a1194ef9bdefa69f232deb3f3cae802528c05"}, + {file = "jupyter_server-2.7.2-py3-none-any.whl", hash = "sha256:98a375347b580e837e7016007c24680a4261ed8ad7cd35196ac087d229f48e5a"}, + {file = "jupyter_server-2.7.2.tar.gz", hash = "sha256:d64fb4e593907290e5df916e3c9399c15ab2cd7bdb71cbcd1d36452dbfb30523"}, ] [package.dependencies] @@ -4536,17 +4536,17 @@ win32 = ["pywin32"] [[package]] name = "setuptools" -version = "68.1.0" +version = "68.1.2" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.8" files = [ - {file = "setuptools-68.1.0-py3-none-any.whl", hash = "sha256:e13e1b0bc760e9b0127eda042845999b2f913e12437046e663b833aa96d89715"}, - {file = "setuptools-68.1.0.tar.gz", hash = "sha256:d59c97e7b774979a5ccb96388efc9eb65518004537e85d52e81eaee89ab6dd91"}, + {file = "setuptools-68.1.2-py3-none-any.whl", hash = "sha256:3d8083eed2d13afc9426f227b24fd1659489ec107c0e86cec2ffdde5c92e790b"}, + {file = "setuptools-68.1.2.tar.gz", hash = "sha256:3d4dfa6d95f1b101d695a6160a7626e15583af71a5f52176efa5d39a054d475d"}, ] [package.extras] -docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5,<=7.1.2)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"] testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"] testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"] @@ -5466,4 +5466,4 @@ h11 = ">=0.9.0,<1" [metadata] lock-version = "2.0" python-versions = "^3.11" -content-hash = "2aff7f22338ba7ef726366921aca2c205e56e9419bdb3dfcd65f25d09ea95709" +content-hash = "462077c1a2385c34d671d89c11525fcf2b4fff35354134f46557c1a43ccfc785" diff --git a/pyproject.toml b/pyproject.toml index a465384..c225bbb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,7 +37,7 @@ version = "0.1.0" [tool.poetry.dependencies] SQLAlchemy = {version = "^1.4.46", extras = ["mypy"]} dash = "^2.11.1" -deutschland = {git = "git@github.com:TrisNol/deutschland.git", rev = "hotfix/python-3.11-support"} +deutschland = {git = "https://github.com/TrisNol/deutschland.git", branch = "hotfix/python-3.11-support"} loguru = "^0.7.0" matplotlib = "^3.7.1" plotly = "^5.14.1" From 1e15656028990c6f51c1303e43ae917032b48af5 Mon Sep 17 00:00:00 2001 From: TrisNol Date: Fri, 18 Aug 2023 16:21:52 +0200 Subject: [PATCH 04/18] refactor: Pull Auditor extraction into Bundesanzeiger utils --- .../API-tests/Bundesanzeiger/notebook.ipynb | 336 ++++++------------ .../models/auditor.py | 2 +- .../utils/data_extraction/__init__.py | 1 + .../utils/data_extraction/bundesanzeiger.py | 75 ++++ tests/utils/data_extraction/__init__.py | 1 + .../data_extraction/bundesanzeiger_test.py | 26 ++ 6 files changed, 214 insertions(+), 227 deletions(-) create mode 100644 src/aki_prj23_transparenzregister/utils/data_extraction/__init__.py create mode 100644 src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py create mode 100644 tests/utils/data_extraction/__init__.py create mode 100644 tests/utils/data_extraction/bundesanzeiger_test.py diff --git a/Jupyter/API-tests/Bundesanzeiger/notebook.ipynb b/Jupyter/API-tests/Bundesanzeiger/notebook.ipynb index e32082e..f67b7e7 100644 --- a/Jupyter/API-tests/Bundesanzeiger/notebook.ipynb +++ b/Jupyter/API-tests/Bundesanzeiger/notebook.ipynb @@ -18,235 +18,119 @@ }, { "cell_type": "code", - 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" - ], - "text/plain": [ - " date name \\\n", - "0 2023-07-11 Jahresabschluss zum Geschäftsjahr vom 01.01.20... \n", - "1 2023-05-25 Jahresabschluss zum Geschäftsjahr vom 01.01.20... \n", - "2 2023-05-24 Jahresabschluss zum Geschäftsjahr vom 01.01.20... \n", - "\n", - " company \\\n", - "0 Volkswagen Economy Service Erdle Bernhard Erdl... \n", - "1 Volkswagen Economy Service Erdle Bernhard Erdl... \n", - "2 Volkswagen Economy Service Erdle Bernhard Erdl... \n", - "\n", - " report \\\n", - "0 \\n\\n\\n\\n \\n\\n\\n\\n\\n\\n\\n\\nVolkswagen Economy Se... \n", - "1 \\n\\n\\n\\n \\n\\n\\n\\n\\n\\n\\n\\nVolkswagen Economy Se... \n", - "2 \\n\\n\\n\\n \\n\\n\\n\\n\\n\\n\\n\\nVolkswagen Economy Se... \n", - "\n", - " raw_report type \n", - "0
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\\n
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None: + """Init.""" + self.__ba = Ba() + + def get_information(self, company_name: str) -> pd.DataFrame: + """Extract relevant information from all found yearly results for the given company. + + Args: + company_name (str): Name of the company to search for + + Returns: + pd.DataFrame: Result + """ + reports = self.__ba.get_reports(company_name) + report_contents = [] + for key in reports: + report_contents.append(reports[key]) + + df_data = pd.DataFrame(report_contents) + df_data["type"] = df_data.name.apply(lambda name: name.split(" ")[0]) + df_data = df_data.loc[df_data.type == "Jahresabschluss"] + df_data["jahr"] = df_data.name.apply( + lambda name: name.split(" ")[-1].split(".")[-1] + ) + df_data = df_data.drop(["name", "report", "type"], axis=1) + + df_data["auditors"] = df_data.raw_report.apply(self.extract_auditors) + return df_data + + def extract_auditor_company(self, report: str) -> str | None: + """Extract the name of an auditor company from the given yearly results report. + + Args: + report (str): Yearly results report as raw string + + Returns: + str | None: Name of the auditor company if found, otherwise None + """ + soup = BeautifulSoup(report, features="html.parser") + temp = soup.find_all("b") + for elem in temp: + br = elem.findChildren("br") + if len(br) > 0: + return elem.text.split("\n")[1].strip() + return None + + def extract_auditors(self, report: str) -> list: + """Find the list of auditors involved in the given yearly results report. + + Args: + report (str): Yearly results report as raw string + + Returns: + list[Auditor]: List of Auditors found in the given report + """ + auditor_company = self.extract_auditor_company(report) + auditor_regex = r"[a-z A-Z,.'-]+, Wirtschaftsprüfer" + hits = re.findall(auditor_regex, report) + return [ + Auditor(hit.replace(", Wirtschaftsprüfer", "").lstrip(), auditor_company) + for hit in hits + ] diff --git a/tests/utils/data_extraction/__init__.py b/tests/utils/data_extraction/__init__.py new file mode 100644 index 0000000..0388525 --- /dev/null +++ b/tests/utils/data_extraction/__init__.py @@ -0,0 +1 @@ +"""Tests for data_extraction.""" diff --git a/tests/utils/data_extraction/bundesanzeiger_test.py b/tests/utils/data_extraction/bundesanzeiger_test.py new file mode 100644 index 0000000..6c870ff --- /dev/null +++ b/tests/utils/data_extraction/bundesanzeiger_test.py @@ -0,0 +1,26 @@ +from aki_prj23_transparenzregister.utils.data_extraction.bundesanzeiger import ( + Bundesanzeiger, +) + + +def test_extract_auditor_company_no_hits() -> None: + input_data = """ + Nothing to see here \O_O/ + """ + ba = Bundesanzeiger() + result = ba.extract_auditor_company(input_data) + assert result is None + + +def test_extract_auditor_company() -> None: + company_name = "Korrupte Wirtschaftsprüfer GmbH & Co. KG" + input_data = f""" + + {company_name} +
+ Max Mustermann +
+ """ + ba = Bundesanzeiger() + result = ba.extract_auditor_company(input_data) + assert result == company_name From e8e354932ca14783eebf09fbb31791cbe188aec5 Mon Sep 17 00:00:00 2001 From: TrisNol Date: Fri, 18 Aug 2023 16:44:49 +0200 Subject: [PATCH 05/18] feat(data-extraction): Minimal Financial data fetch --- .../utils/data_extraction/bundesanzeiger.py | 116 ++++++++++++++++-- 1 file changed, 109 insertions(+), 7 deletions(-) diff --git a/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py b/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py index c102062..bb756ab 100644 --- a/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py +++ b/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py @@ -24,21 +24,43 @@ class Bundesanzeiger: Returns: pd.DataFrame: Result """ + # Get Bundesanzeiger entries for company reports = self.__ba.get_reports(company_name) + # Transform to list of data report_contents = [] for key in reports: report_contents.append(reports[key]) + # Transform to DataFrame and filter out irrelevant entries df_data = pd.DataFrame(report_contents) - df_data["type"] = df_data.name.apply(lambda name: name.split(" ")[0]) - df_data = df_data.loc[df_data.type == "Jahresabschluss"] - df_data["jahr"] = df_data.name.apply( + df_data = self.filter_reports(df_data) + + # Add Auditor information + df_data["auditors"] = df_data.raw_report.apply(self.extract_auditors) + + # Add Financial information + df_data["financial_results"] = df_data.raw_report.apply( + self.extract_financial_results + ) + + # Remove irrelevant columns + return df_data.drop(["raw_report"], axis=1) + + def filter_reports(self, df_reports: pd.DataFrame) -> pd.DataFrame: + """Returns only reports of type `Jahresabschluss` and extracts the year of the report. + + Args: + df_reports (pd.DataFrame): DataFrame containing list of reports + + Returns: + pd.DataFrame: Filtered and pruned DataFrame + """ + df_reports["type"] = df_reports.name.apply(lambda name: name.split(" ")[0]) + df_reports = df_reports.loc[df_reports.type == "Jahresabschluss"] + df_reports["jahr"] = df_reports.name.apply( lambda name: name.split(" ")[-1].split(".")[-1] ) - df_data = df_data.drop(["name", "report", "type"], axis=1) - - df_data["auditors"] = df_data.raw_report.apply(self.extract_auditors) - return df_data + return df_reports.drop(["name", "report", "type"], axis=1) def extract_auditor_company(self, report: str) -> str | None: """Extract the name of an auditor company from the given yearly results report. @@ -73,3 +95,83 @@ class Bundesanzeiger: Auditor(hit.replace(", Wirtschaftsprüfer", "").lstrip(), auditor_company) for hit in hits ] + + def __extract_kpis__(self, report: str) -> dict: + """Source: https://github.com/bundesAPI/deutschland/pull/87/files#diff-f5b9db5384cf523fcc677056065041e7793bfc4da9cf74c4eebd6fab732739bd. + + Extracts Key Performance Indicators (KPIs) from the financial reports. + + Args: + report (str): The yearly report as a parsed string + + Returns: + dict: A dictionary containing the extracted KPIs with their report hash as keys and KPIs as values. + """ + kpis = {} + + # Define KPI patterns to search for + kpi_patterns = { + "revenue": r"(?:revenue|umsatz|erlöse)[:\s]*([\d,.]+[mmb]?)", + "net_income": r"(?:net income|jahresüberschuss|nettoeinkommen|Ergebnis nach Steuern)[:\s]*([\d,.]+[mmb]?)", + "ebit": r"(?:ebit|operating income)[:\s]*([\d,.]+[mmb]?)", + "ebitda": r"(?:ebitda)[:\s]*([\d,.]+[mmb]?)", + "gross_profit": r"(?:gross profit|bruttogewinn)[:\s]*([\d,.]+[mmb]?)", + "operating_profit": r"(?:operating profit|betriebsgewinn)[:\s]*([\d,.]+[mmb]?)", + "assets": r"(?:total assets|bilanzsumme)[:\s]*([\d,.]+[mmb]?)", + "liabilities": r"(?:total liabilities|gesamtverbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", + "equity": r"(?:shareholders'? equity|eigenkapital)[:\s]*([\d,.]+[mmb]?)", + "current_assets": r"(?:current assets|umlaufvermögen)[:\s]*([\d,.]+[mmb]?)", + "current_liabilities": r"(?:current liabilities|kurzfristige verbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", + "long_term_debt": r"(?:long[-\s]?term debt|langfristige verbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", + "short_term_debt": r"(?:short[-\s]?term debt|kurzfristige verbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", + "cash_and_cash_equivalents": r"(?:cash (?:and cash equivalents)?|barmittel)[:\s]*([\d,.]+[mmb]?)", + "dividends": r"(?:dividends?|dividende)[:\s]*([\d,.]+[mmb]?)", + "cash_flow": r"(?:cash flow|cashflow|cash flow from operating activities)[:\s]*([\d,.]+[mmb]?)", + } + + for kpi, pattern in kpi_patterns.items(): + match = re.search(pattern, report, flags=re.IGNORECASE | re.UNICODE) + if match: + value = match.group(1) + + # Clean and validate the extracted number + try: + if not value: # Check if value is empty + cleaned_value = None + else: + multiplier = 1 + if value[-1].lower() == "m": + value = value[:-1] + multiplier = 1_000_000 + elif value[-1].lower() == "b": + value = value[:-1] + multiplier = 1_000_000_000 + + # Remove commas after checking for multipliers + value = value.replace(".", "").replace(",", ".").strip() + cleaned_value = float(value) * multiplier + except ValueError: + cleaned_value = None + + if cleaned_value is not None: + kpis[kpi] = cleaned_value + return kpis + + def extract_financial_results(self, report: str) -> dict: + """Extract financial data from given report. + + Args: + report (str): Report to be analyzed + + Returns: + dict: Results + """ + report_parsed = ( + BeautifulSoup(report, features="html.parser").get_text().replace("\n", " ") + ) + return self.__extract_kpis__(report_parsed) + + +if __name__ == "__main__": + ba_wrapper = Bundesanzeiger() + ba_wrapper.get_information("Atos IT-Dienstleistung und Beratung GmbH") From 6514db2954a719510cc11180f6238e9569cb3084 Mon Sep 17 00:00:00 2001 From: TrisNol Date: Sat, 19 Aug 2023 15:12:41 +0200 Subject: [PATCH 06/18] checkpoint: Enrich Company entity with yearly results --- .../apps/__init__.py | 1 + .../apps/enrich_company_financials.py | 37 +++++++++++++++++++ .../models/company.py | 9 +++++ .../utils/data_extraction/bundesanzeiger.py | 3 ++ .../utils/mongo/company_mongo_service.py | 31 +++++++++++++++- 5 files changed, 80 insertions(+), 1 deletion(-) create mode 100644 src/aki_prj23_transparenzregister/apps/__init__.py create mode 100644 src/aki_prj23_transparenzregister/apps/enrich_company_financials.py diff --git a/src/aki_prj23_transparenzregister/apps/__init__.py b/src/aki_prj23_transparenzregister/apps/__init__.py new file mode 100644 index 0000000..69748f7 --- /dev/null +++ b/src/aki_prj23_transparenzregister/apps/__init__.py @@ -0,0 +1 @@ +"""Main applications.""" diff --git a/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py b/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py new file mode 100644 index 0000000..a942ad8 --- /dev/null +++ b/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py @@ -0,0 +1,37 @@ +"""Add financial data to companies.""" +from aki_prj23_transparenzregister.config.config_providers import JsonFileConfigProvider +from aki_prj23_transparenzregister.utils.data_extraction.bundesanzeiger import ( + Bundesanzeiger, +) +from aki_prj23_transparenzregister.utils.mongo.company_mongo_service import ( + CompanyMongoService, +) +from aki_prj23_transparenzregister.utils.mongo.connector import MongoConnector + +if __name__ == "__main__": + config_provider = JsonFileConfigProvider("./secrets.json") + + mongo_connector = MongoConnector(config_provider.get_mongo_connection_string()) + company_service = CompanyMongoService(mongo_connector) + + id = "649f16a2e198338c3b4429b0" + company = company_service.get_by_object_id(id) + if company is None: + raise Exception("No entry found with given ID") + # print(company['name']) + # print("------------") + bundesanzeiger_service = Bundesanzeiger() + yearly_results = bundesanzeiger_service.get_information( + company_name=company["name"] + ) + # print(yearly_results.head()) + yearly_results_data = {} + for _index, row in yearly_results.iterrows(): + yearly_results_data[row.jahr] = { + "auditors": row.auditors, + "financials": row.financial_results, + } + + company_service.add_yearly_results(id, yearly_results_data) + # print("------------") + # print(company) diff --git a/src/aki_prj23_transparenzregister/models/company.py b/src/aki_prj23_transparenzregister/models/company.py index dedd7cd..8905513 100644 --- a/src/aki_prj23_transparenzregister/models/company.py +++ b/src/aki_prj23_transparenzregister/models/company.py @@ -45,6 +45,14 @@ class CompanyRelationship(ABC): location: Location +@dataclass +class FinancialResults: + """_summary_.""" + + year: int + kpis: dict[str, float] + + @dataclass class Company: """_summary_. @@ -58,6 +66,7 @@ class Company: name: str last_update: str relationships: list[CompanyRelationship] + # yearly_results: list[FinancialResults] def to_dict(self) -> dict: """_summary_. diff --git a/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py b/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py index bb756ab..637c947 100644 --- a/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py +++ b/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py @@ -35,6 +35,9 @@ class Bundesanzeiger: df_data = pd.DataFrame(report_contents) df_data = self.filter_reports(df_data) + # Filter out entries of different companies + df_data = df_data.loc[df_data.company == company_name] + # Add Auditor information df_data["auditors"] = df_data.raw_report.apply(self.extract_auditors) diff --git a/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py b/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py index 40f4574..ae8bac2 100644 --- a/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py +++ b/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py @@ -1,5 +1,6 @@ """CompanyMongoService.""" -from pymongo.results import InsertOneResult +from bson.objectid import ObjectId +from pymongo.results import InsertOneResult, UpdateResult from aki_prj23_transparenzregister.models.company import Company, CompanyID from aki_prj23_transparenzregister.utils.mongo.connector import MongoConnector @@ -39,6 +40,20 @@ class CompanyMongoService: return result[0] return None + def get_by_object_id(self, _id: str) -> dict | None: + """Find an object by given _id. + + Args: + _id (str): ID + + Returns: + Company | None: Entry if found, otherwise None + """ + result = list(self.collection.find({"_id": ObjectId(_id)})) + if len(result) == 1: + return result[0] + return None + def insert(self, company: Company) -> InsertOneResult: """_summary_. @@ -49,3 +64,17 @@ class CompanyMongoService: _type_: _description_ """ return self.collection.insert_one(company.to_dict()) + + def add_yearly_results(self, _id: str, yearly_results: dict) -> UpdateResult: + """Add the `yearly_results` field to a Company entry. + + Args: + _id (str): ID of the object + yearly_results (dict): Yearly results dictionary + + Returns: + UpdateResult: Result + """ + return self.collection.update_one( + {"_id": ObjectId(_id)}, {"$set": {"yearly_results": yearly_results}} + ) From d1c09d51a206a5da9b5d71a4d48fec449ef8f5b7 Mon Sep 17 00:00:00 2001 From: TrisNol Date: Sat, 19 Aug 2023 18:06:33 +0200 Subject: [PATCH 07/18] checkpoint: Update Mongo Company entries with yearly_results --- poetry.lock | 2 +- .../apps/enrich_company_financials.py | 47 ++++++++++--------- .../models/auditor.py | 10 +++- .../utils/data_extraction/bundesanzeiger.py | 9 ++-- 4 files changed, 40 insertions(+), 28 deletions(-) diff --git a/poetry.lock b/poetry.lock index 1f370fd..da63a0b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1164,7 +1164,7 @@ weiterbildungssuche = ["de-weiterbildungssuche (>=0.1.0,<0.2.0)"] type = "git" url = "https://github.com/TrisNol/deutschland.git" reference = "hotfix/python-3.11-support" -resolved_reference = "29dd9d833707c68ae1574539bb6e62f4d4f5b683" +resolved_reference = "507901b95cffa8dede08b69adab23dd8eda92d87" [[package]] name = "distlib" diff --git a/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py b/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py index a942ad8..47bca4e 100644 --- a/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py +++ b/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py @@ -1,4 +1,6 @@ """Add financial data to companies.""" +import typing + from aki_prj23_transparenzregister.config.config_providers import JsonFileConfigProvider from aki_prj23_transparenzregister.utils.data_extraction.bundesanzeiger import ( Bundesanzeiger, @@ -8,30 +10,33 @@ from aki_prj23_transparenzregister.utils.mongo.company_mongo_service import ( ) from aki_prj23_transparenzregister.utils.mongo.connector import MongoConnector + +def work(company: typing.Any, company_service: CompanyMongoService) -> None: + """... + + Args: + company (dict): _description_ + company_service (CompanyMongoService): _description_ + """ + # print(company["name"]) + yearly_results = Bundesanzeiger().get_information(company_name=company["name"]) + # print(len(yearly_results)) + yearly_results_data = {} + for _index, row in yearly_results.iterrows(): + yearly_results_data[row.jahr] = { + "auditors": [auditor.to_dict() for auditor in row.auditors], + "financials": row.financial_results, + } + + company_service.add_yearly_results(company["_id"], yearly_results_data) + + if __name__ == "__main__": config_provider = JsonFileConfigProvider("./secrets.json") mongo_connector = MongoConnector(config_provider.get_mongo_connection_string()) company_service = CompanyMongoService(mongo_connector) - id = "649f16a2e198338c3b4429b0" - company = company_service.get_by_object_id(id) - if company is None: - raise Exception("No entry found with given ID") - # print(company['name']) - # print("------------") - bundesanzeiger_service = Bundesanzeiger() - yearly_results = bundesanzeiger_service.get_information( - company_name=company["name"] - ) - # print(yearly_results.head()) - yearly_results_data = {} - for _index, row in yearly_results.iterrows(): - yearly_results_data[row.jahr] = { - "auditors": row.auditors, - "financials": row.financial_results, - } - - company_service.add_yearly_results(id, yearly_results_data) - # print("------------") - # print(company) + companies = company_service.get_all() + for company in companies: + work(company, company_service) diff --git a/src/aki_prj23_transparenzregister/models/auditor.py b/src/aki_prj23_transparenzregister/models/auditor.py index 9997616..28856a8 100644 --- a/src/aki_prj23_transparenzregister/models/auditor.py +++ b/src/aki_prj23_transparenzregister/models/auditor.py @@ -1,5 +1,5 @@ """Auditor model.""" -from dataclasses import dataclass +from dataclasses import asdict, dataclass @dataclass @@ -8,3 +8,11 @@ class Auditor: name: str company: str | None + + def to_dict(self) -> dict: + """_summary_. + + Returns: + dict: _description_ + """ + return asdict(self) diff --git a/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py b/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py index 637c947..c00f8e4 100644 --- a/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py +++ b/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py @@ -11,10 +11,6 @@ from aki_prj23_transparenzregister.models.auditor import Auditor class Bundesanzeiger: """Bundesanzeiger wrapper to export relevant information.""" - def __init__(self) -> None: - """Init.""" - self.__ba = Ba() - def get_information(self, company_name: str) -> pd.DataFrame: """Extract relevant information from all found yearly results for the given company. @@ -24,13 +20,16 @@ class Bundesanzeiger: Returns: pd.DataFrame: Result """ + ba = Ba() # Get Bundesanzeiger entries for company - reports = self.__ba.get_reports(company_name) + reports = ba.get_reports(company_name) # Transform to list of data report_contents = [] for key in reports: report_contents.append(reports[key]) + if len(report_contents) == 0: + return pd.DataFrame() # Transform to DataFrame and filter out irrelevant entries df_data = pd.DataFrame(report_contents) df_data = self.filter_reports(df_data) From ac07bd8e8e21d57a7807998f3e4fcf9d2fd7805a Mon Sep 17 00:00:00 2001 From: TrisNol Date: Tue, 29 Aug 2023 17:10:42 +0200 Subject: [PATCH 08/18] improve financial fetch, bind financial KPIs to enum --- pyproject.toml | 8 +++ .../apps/enrich_company_financials.py | 6 +-- .../models/company.py | 49 ++++++++++++++++--- .../utils/data_extraction/bundesanzeiger.py | 40 ++++++++------- 4 files changed, 73 insertions(+), 30 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index c225bbb..5ce1904 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -48,6 +48,10 @@ seaborn = "^0.12.2" selenium = "^4.10.0" tqdm = "^4.65.0" +# TODO Add dependent libraries (i.e., deutshcland, plotly, etc) +[tool.poetry.extras] +ingest = ["selenium"] + [tool.poetry.group.develop.dependencies] black = {extras = ["jupyter"], version = "^23.3.0"} jupyterlab = "^4.0.0" @@ -85,6 +89,10 @@ pytest-cov = "^4.1.0" pytest-mock = "^3.10.0" pytest-repeat = "^0.9.1" +# TODO Add enrich_company_financials hinzufügen +[tool.poetry.scripts] +mein_test = "aki_prj23_transparenzregister.utils.postgres.connector:init_db" + [tool.ruff] exclude = [ ".bzr", diff --git a/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py b/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py index 47bca4e..0667a87 100644 --- a/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py +++ b/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py @@ -18,9 +18,9 @@ def work(company: typing.Any, company_service: CompanyMongoService) -> None: company (dict): _description_ company_service (CompanyMongoService): _description_ """ - # print(company["name"]) - yearly_results = Bundesanzeiger().get_information(company_name=company["name"]) - # print(len(yearly_results)) + yearly_results = Bundesanzeiger().get_information( + company["name"], company["location"]["city"] + ) yearly_results_data = {} for _index, row in yearly_results.iterrows(): yearly_results_data[row.jahr] = { diff --git a/src/aki_prj23_transparenzregister/models/company.py b/src/aki_prj23_transparenzregister/models/company.py index 8905513..d160826 100644 --- a/src/aki_prj23_transparenzregister/models/company.py +++ b/src/aki_prj23_transparenzregister/models/company.py @@ -45,21 +45,54 @@ class CompanyRelationship(ABC): location: Location +class FinancialKPIEnum(Enum): + """Financial KPI keys.""" + + # Umsatz || Erlöse + REVENUE = "revenue" + # Jahresüberschuss || Nettoeinkommen + NET_INCOME = "net_income" + # Ebit + EBIT = "ebit" + # Ebitda + EBITDA = "ebitda" + # Bruttogewinn + GROSS_PROFIT = "gross_profit" + # Betriebsgewinn + OPERATING_PROFIT = "operating_profit" + # Bilanzsumme + ASSETS = "assets" + # Gesamtverbindlichkeiten + LIABILITIES = "liabilities" + # Eigenkapital + EQUITY = "equity" + # Umlaufvermögen + CURRENT_ASSETS = "current_assets" + # Kurzfristige Verbindlichkeiten + CURRENT_LIABILITIES = "current_liabilities" + # Langfristige Verbindlichkeiten + LONG_TERM_DEBT = "long_term_debt" + # Kurzfristige Verbindlichkeiten + SHORT_TERM_DEBT = "short_term_debt" + # Barmittel + CASH_AND_CASH_EQUIVALENTS = "cash_and_cash_equivalents" + # Dividende + DIVIDENDS = "dividends" + # Cash Flow + CASH_FLOW = "cash_flow" + + @dataclass -class FinancialResults: - """_summary_.""" +class YearlyResult: + """Company yearly result.""" year: int - kpis: dict[str, float] + kpis: dict[FinancialKPIEnum, float] @dataclass class Company: - """_summary_. - - Returns: - _type_: _description_ - """ + """Company dataclass.""" id: CompanyID location: Location diff --git a/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py b/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py index c00f8e4..c2c28d7 100644 --- a/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py +++ b/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py @@ -6,23 +6,25 @@ from bs4 import BeautifulSoup from deutschland.bundesanzeiger import Bundesanzeiger as Ba from aki_prj23_transparenzregister.models.auditor import Auditor +from aki_prj23_transparenzregister.models.company import FinancialKPIEnum class Bundesanzeiger: """Bundesanzeiger wrapper to export relevant information.""" - def get_information(self, company_name: str) -> pd.DataFrame: + def get_information(self, company_name: str, city: str | None) -> pd.DataFrame: """Extract relevant information from all found yearly results for the given company. Args: company_name (str): Name of the company to search for + city (Optional[str]): City where the company is registered Returns: pd.DataFrame: Result """ ba = Ba() # Get Bundesanzeiger entries for company - reports = ba.get_reports(company_name) + reports = ba.get_reports(f"{company_name} {city}") # Transform to list of data report_contents = [] for key in reports: @@ -113,22 +115,22 @@ class Bundesanzeiger: # Define KPI patterns to search for kpi_patterns = { - "revenue": r"(?:revenue|umsatz|erlöse)[:\s]*([\d,.]+[mmb]?)", - "net_income": r"(?:net income|jahresüberschuss|nettoeinkommen|Ergebnis nach Steuern)[:\s]*([\d,.]+[mmb]?)", - "ebit": r"(?:ebit|operating income)[:\s]*([\d,.]+[mmb]?)", - "ebitda": r"(?:ebitda)[:\s]*([\d,.]+[mmb]?)", - "gross_profit": r"(?:gross profit|bruttogewinn)[:\s]*([\d,.]+[mmb]?)", - "operating_profit": r"(?:operating profit|betriebsgewinn)[:\s]*([\d,.]+[mmb]?)", - "assets": r"(?:total assets|bilanzsumme)[:\s]*([\d,.]+[mmb]?)", - "liabilities": r"(?:total liabilities|gesamtverbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", - "equity": r"(?:shareholders'? equity|eigenkapital)[:\s]*([\d,.]+[mmb]?)", - "current_assets": r"(?:current assets|umlaufvermögen)[:\s]*([\d,.]+[mmb]?)", - "current_liabilities": r"(?:current liabilities|kurzfristige verbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", - "long_term_debt": r"(?:long[-\s]?term debt|langfristige verbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", - "short_term_debt": r"(?:short[-\s]?term debt|kurzfristige verbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", - "cash_and_cash_equivalents": r"(?:cash (?:and cash equivalents)?|barmittel)[:\s]*([\d,.]+[mmb]?)", - "dividends": r"(?:dividends?|dividende)[:\s]*([\d,.]+[mmb]?)", - "cash_flow": r"(?:cash flow|cashflow|cash flow from operating activities)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.REVENUE: r"(?:revenue|umsatz|erlöse)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.NET_INCOME: r"(?:net income|jahresüberschuss|nettoeinkommen|Ergebnis nach Steuern)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.EBIT: r"(?:ebit|operating income)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.EBITDA: r"(?:ebitda)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.GROSS_PROFIT: r"(?:gross profit|bruttogewinn)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.OPERATING_PROFIT: r"(?:operating profit|betriebsgewinn)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.ASSETS: r"(?:total assets|bilanzsumme)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.LIABILITIES: r"(?:total liabilities|gesamtverbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.EQUITY: r"(?:shareholders'? equity|eigenkapital)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.CURRENT_ASSETS: r"(?:current assets|umlaufvermögen)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.CURRENT_LIABILITIES: r"(?:current liabilities|kurzfristige verbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.LONG_TERM_DEBT: r"(?:long[-\s]?term debt|langfristige verbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.SHORT_TERM_DEBT: r"(?:short[-\s]?term debt|kurzfristige verbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.CASH_AND_CASH_EQUIVALENTS: r"(?:cash (?:and cash equivalents)?|barmittel)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.DIVIDENDS: r"(?:dividends?|dividende)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.CASH_FLOW: r"(?:cash flow|cashflow|cash flow from operating activities)[:\s]*([\d,.]+[mmb]?)", } for kpi, pattern in kpi_patterns.items(): @@ -176,4 +178,4 @@ class Bundesanzeiger: if __name__ == "__main__": ba_wrapper = Bundesanzeiger() - ba_wrapper.get_information("Atos IT-Dienstleistung und Beratung GmbH") + ba_wrapper.get_information("Atos IT-Dienstleistung und Beratung GmbH", None) From 7a2bc5db2bc2d2c16b233c46e0812f72d514f8ea Mon Sep 17 00:00:00 2001 From: TrisNol Date: Tue, 29 Aug 2023 18:38:25 +0200 Subject: [PATCH 09/18] multi-thread company financial ingestion --- .../apps/enrich_company_financials.py | 26 ++++++++-- .../utils/data_extraction/bundesanzeiger.py | 34 +++++++------- .../utils/mongo/company_mongo_service.py | 47 +++++++++++++------ 3 files changed, 74 insertions(+), 33 deletions(-) diff --git a/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py b/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py index 0667a87..156c71e 100644 --- a/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py +++ b/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py @@ -32,11 +32,31 @@ def work(company: typing.Any, company_service: CompanyMongoService) -> None: if __name__ == "__main__": + import concurrent.futures + + from tqdm import tqdm + config_provider = JsonFileConfigProvider("./secrets.json") mongo_connector = MongoConnector(config_provider.get_mongo_connection_string()) company_service = CompanyMongoService(mongo_connector) - companies = company_service.get_all() - for company in companies: - work(company, company_service) + num_threads = 25 + companies = company_service.get_where_no_financial_results() + with concurrent.futures.ThreadPoolExecutor(max_workers=num_threads) as executor: + # Submit tasks for each entry in the list + future_to_entry = { + executor.submit(work, entry, company_service): entry for entry in companies + } + + with tqdm(total=len(companies)) as pbar: + # Wait for all tasks to complete + for future in concurrent.futures.as_completed(future_to_entry): + entry = future_to_entry[future] + # try: + # Get the result of the completed task (if needed) + result = future.result() + pbar.set_description(entry["name"]) + pbar.update(1) + # except Exception as e: + # print(f"Error processing entry {entry}: {e}") diff --git a/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py b/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py index c2c28d7..ae81308 100644 --- a/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py +++ b/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py @@ -8,6 +8,8 @@ from deutschland.bundesanzeiger import Bundesanzeiger as Ba from aki_prj23_transparenzregister.models.auditor import Auditor from aki_prj23_transparenzregister.models.company import FinancialKPIEnum +pd.options.mode.chained_assignment = "" + class Bundesanzeiger: """Bundesanzeiger wrapper to export relevant information.""" @@ -115,22 +117,22 @@ class Bundesanzeiger: # Define KPI patterns to search for kpi_patterns = { - FinancialKPIEnum.REVENUE: r"(?:revenue|umsatz|erlöse)[:\s]*([\d,.]+[mmb]?)", - FinancialKPIEnum.NET_INCOME: r"(?:net income|jahresüberschuss|nettoeinkommen|Ergebnis nach Steuern)[:\s]*([\d,.]+[mmb]?)", - FinancialKPIEnum.EBIT: r"(?:ebit|operating income)[:\s]*([\d,.]+[mmb]?)", - FinancialKPIEnum.EBITDA: r"(?:ebitda)[:\s]*([\d,.]+[mmb]?)", - FinancialKPIEnum.GROSS_PROFIT: r"(?:gross profit|bruttogewinn)[:\s]*([\d,.]+[mmb]?)", - FinancialKPIEnum.OPERATING_PROFIT: r"(?:operating profit|betriebsgewinn)[:\s]*([\d,.]+[mmb]?)", - FinancialKPIEnum.ASSETS: r"(?:total assets|bilanzsumme)[:\s]*([\d,.]+[mmb]?)", - FinancialKPIEnum.LIABILITIES: r"(?:total liabilities|gesamtverbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", - FinancialKPIEnum.EQUITY: r"(?:shareholders'? equity|eigenkapital)[:\s]*([\d,.]+[mmb]?)", - FinancialKPIEnum.CURRENT_ASSETS: r"(?:current assets|umlaufvermögen)[:\s]*([\d,.]+[mmb]?)", - FinancialKPIEnum.CURRENT_LIABILITIES: r"(?:current liabilities|kurzfristige verbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", - FinancialKPIEnum.LONG_TERM_DEBT: r"(?:long[-\s]?term debt|langfristige verbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", - FinancialKPIEnum.SHORT_TERM_DEBT: r"(?:short[-\s]?term debt|kurzfristige verbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", - FinancialKPIEnum.CASH_AND_CASH_EQUIVALENTS: r"(?:cash (?:and cash equivalents)?|barmittel)[:\s]*([\d,.]+[mmb]?)", - FinancialKPIEnum.DIVIDENDS: r"(?:dividends?|dividende)[:\s]*([\d,.]+[mmb]?)", - FinancialKPIEnum.CASH_FLOW: r"(?:cash flow|cashflow|cash flow from operating activities)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.REVENUE.value: r"(?:revenue|umsatz|erlöse)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.NET_INCOME.value: r"(?:net income|jahresüberschuss|nettoeinkommen|Ergebnis nach Steuern)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.EBIT.value: r"(?:ebit|operating income)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.EBITDA.value: r"(?:ebitda)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.GROSS_PROFIT.value: r"(?:gross profit|bruttogewinn)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.OPERATING_PROFIT.value: r"(?:operating profit|betriebsgewinn)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.ASSETS.value: r"(?:total assets|bilanzsumme)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.LIABILITIES.value: r"(?:total liabilities|gesamtverbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.EQUITY.value: r"(?:shareholders'? equity|eigenkapital)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.CURRENT_ASSETS.value: r"(?:current assets|umlaufvermögen)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.CURRENT_LIABILITIES.value: r"(?:current liabilities|kurzfristige verbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.LONG_TERM_DEBT.value: r"(?:long[-\s]?term debt|langfristige verbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.SHORT_TERM_DEBT.value: r"(?:short[-\s]?term debt|kurzfristige verbindlichkeiten)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.CASH_AND_CASH_EQUIVALENTS.value: r"(?:cash (?:and cash equivalents)?|barmittel)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.DIVIDENDS.value: r"(?:dividends?|dividende)[:\s]*([\d,.]+[mmb]?)", + FinancialKPIEnum.CASH_FLOW.value: r"(?:cash flow|cashflow|cash flow from operating activities)[:\s]*([\d,.]+[mmb]?)", } for kpi, pattern in kpi_patterns.items(): diff --git a/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py b/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py index ae8bac2..cce8a25 100644 --- a/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py +++ b/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py @@ -1,4 +1,6 @@ """CompanyMongoService.""" +from threading import Lock + from bson.objectid import ObjectId from pymongo.results import InsertOneResult, UpdateResult @@ -16,6 +18,7 @@ class CompanyMongoService: connector (MongoConnector): _description_ """ self.collection = connector.database["companies"] + self.lock = Lock() # Create a lock for synchronization def get_all(self) -> list[Company]: """_summary_. @@ -23,8 +26,9 @@ class CompanyMongoService: Returns: list[Company]: _description_ """ - result = self.collection.find() - return list(result) + with self.lock: + result = self.collection.find() + return list(result) def get_by_id(self, id: CompanyID) -> Company | None: """_summary_. @@ -35,10 +39,11 @@ class CompanyMongoService: Returns: Company | None: _description_ """ - result = list(self.collection.find({"id": id})) - if len(result) == 1: - return result[0] - return None + with self.lock: + result = list(self.collection.find({"id": id})) + if len(result) == 1: + return result[0] + return None def get_by_object_id(self, _id: str) -> dict | None: """Find an object by given _id. @@ -49,10 +54,22 @@ class CompanyMongoService: Returns: Company | None: Entry if found, otherwise None """ - result = list(self.collection.find({"_id": ObjectId(_id)})) - if len(result) == 1: - return result[0] - return None + with self.lock: + result = list(self.collection.find({"_id": ObjectId(_id)})) + if len(result) == 1: + return result[0] + return None + + def get_where_no_financial_results(self) -> list[dict]: + """Get all entries that have no yearly_results. + + Returns: + list[dict]: List of companies found + """ + with self.lock: + return list( + self.collection.find({"$or": [{"yearly_results": {"$exists": False}}]}) + ) def insert(self, company: Company) -> InsertOneResult: """_summary_. @@ -63,7 +80,8 @@ class CompanyMongoService: Returns: _type_: _description_ """ - return self.collection.insert_one(company.to_dict()) + with self.lock: + return self.collection.insert_one(company.to_dict()) def add_yearly_results(self, _id: str, yearly_results: dict) -> UpdateResult: """Add the `yearly_results` field to a Company entry. @@ -75,6 +93,7 @@ class CompanyMongoService: Returns: UpdateResult: Result """ - return self.collection.update_one( - {"_id": ObjectId(_id)}, {"$set": {"yearly_results": yearly_results}} - ) + with self.lock: + return self.collection.update_one( + {"_id": ObjectId(_id)}, {"$set": {"yearly_results": yearly_results}} + ) From b970416641c21c54b70ea2a9b727513118470303 Mon Sep 17 00:00:00 2001 From: TrisNol Date: Tue, 29 Aug 2023 18:50:33 +0200 Subject: [PATCH 10/18] checkpoint(data-ingestion): Add method to mongo service to fetch companies with yearly results --- .../utils/mongo/company_mongo_service.py | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py b/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py index cce8a25..2c7d1db 100644 --- a/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py +++ b/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py @@ -71,6 +71,15 @@ class CompanyMongoService: self.collection.find({"$or": [{"yearly_results": {"$exists": False}}]}) ) + def get_where_yearly_results(self) -> list[dict]: + """Get a list of all companies with valid yearly_results (interesting entries for data loader). + + Returns: + list[dict]: List of companies + """ + with self.lock: + return list(self.collection.find({"yearly_results": {"$gt": {}}})) + def insert(self, company: Company) -> InsertOneResult: """_summary_. From d34bb1f3bee47bf569ab38b48a0b7460c62d66bb Mon Sep 17 00:00:00 2001 From: TrisNol Date: Wed, 6 Sep 2023 17:19:19 +0200 Subject: [PATCH 11/18] checkpoint(data-ingestion): Replace print statements with loguru --- .../apps/enrich_company_financials.py | 21 ++++++++++--------- .../utils/data_extraction/bundesanzeiger.py | 2 +- 2 files changed, 12 insertions(+), 11 deletions(-) diff --git a/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py b/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py index 156c71e..4d69e2c 100644 --- a/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py +++ b/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py @@ -34,7 +34,7 @@ def work(company: typing.Any, company_service: CompanyMongoService) -> None: if __name__ == "__main__": import concurrent.futures - from tqdm import tqdm + from loguru import logger config_provider = JsonFileConfigProvider("./secrets.json") @@ -49,14 +49,15 @@ if __name__ == "__main__": executor.submit(work, entry, company_service): entry for entry in companies } - with tqdm(total=len(companies)) as pbar: - # Wait for all tasks to complete - for future in concurrent.futures.as_completed(future_to_entry): - entry = future_to_entry[future] - # try: + # with tqdm(total=len(companies)) as pbar: + # Wait for all tasks to complete + for future in concurrent.futures.as_completed(future_to_entry): + entry = future_to_entry[future] + logger.info(entry["name"]) + try: # Get the result of the completed task (if needed) result = future.result() - pbar.set_description(entry["name"]) - pbar.update(1) - # except Exception as e: - # print(f"Error processing entry {entry}: {e}") + # pbar.set_description(entry["name"]) + # pbar.update(1) + except Exception as e: + logger.error(f"Error processing entry {e}") diff --git a/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py b/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py index ae81308..fd5f1ab 100644 --- a/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py +++ b/src/aki_prj23_transparenzregister/utils/data_extraction/bundesanzeiger.py @@ -8,7 +8,7 @@ from deutschland.bundesanzeiger import Bundesanzeiger as Ba from aki_prj23_transparenzregister.models.auditor import Auditor from aki_prj23_transparenzregister.models.company import FinancialKPIEnum -pd.options.mode.chained_assignment = "" +pd.options.mode.chained_assignment = None # type: ignore class Bundesanzeiger: From f4a4cbc4f273ecb2abeb15dbc079882ddebbd140 Mon Sep 17 00:00:00 2001 From: TrisNol Date: Wed, 6 Sep 2023 17:48:00 +0200 Subject: [PATCH 12/18] test(data-ingestion): Test Bundesanzeiger wrapper --- .../data_extraction/bundesanzeiger_test.py | 72 ++++++++++++++++++- 1 file changed, 71 insertions(+), 1 deletion(-) diff --git a/tests/utils/data_extraction/bundesanzeiger_test.py b/tests/utils/data_extraction/bundesanzeiger_test.py index 6c870ff..49dbb3f 100644 --- a/tests/utils/data_extraction/bundesanzeiger_test.py +++ b/tests/utils/data_extraction/bundesanzeiger_test.py @@ -1,11 +1,29 @@ +from unittest.mock import Mock + +import pandas as pd +import pytest + +from aki_prj23_transparenzregister.models.company import FinancialKPIEnum from aki_prj23_transparenzregister.utils.data_extraction.bundesanzeiger import ( Bundesanzeiger, ) +@pytest.fixture() +def mock_bundesanzeiger(mocker: Mock) -> Mock: + mock = Mock() + mocker.patch( + "deutschland.bundesanzeiger", + return_value=mock, + ) + return mock + + def test_extract_auditor_company_no_hits() -> None: input_data = """ - Nothing to see here \O_O/ + + Nothing to see here + """ ba = Bundesanzeiger() result = ba.extract_auditor_company(input_data) @@ -24,3 +42,55 @@ def test_extract_auditor_company() -> None: ba = Bundesanzeiger() result = ba.extract_auditor_company(input_data) assert result == company_name + + +def test_extract_kpis() -> None: + input_data = """ + Die Prj23_Transparenzregister GmbH erwirtschaftete einen Jahresüberschuss 10.000,43 €. + Des Weiteren sanken die Gesamtverbindlichkeiten 42,00 € + """ + ba = Bundesanzeiger() + result = ba.__extract_kpis__(input_data) + + net_income = 10000.43 + liabilities = 42.00 + + assert result[FinancialKPIEnum.NET_INCOME.value] == net_income + assert result[FinancialKPIEnum.LIABILITIES.value] == liabilities + + +def test_extracct_financial_results() -> None: + input_data = """ +
+ Die Prj23_Transparenzregister GmbH erwirtschaftete einen Jahresüberschuss 10.000,43 €. +
+

Dies ist ein Platzhalter, der ignoriert werden soll

+ Des Weiteren sanken die Gesamtverbindlichkeiten 42,00 € + """ + ba = Bundesanzeiger() + result = ba.extract_financial_results(input_data) + + net_income = 10000.43 + liabilities = 42.00 + + assert result[FinancialKPIEnum.NET_INCOME.value] == net_income + assert result[FinancialKPIEnum.LIABILITIES.value] == liabilities + + +def test_filter_reports() -> None: + test_data = [ + {"name": "Bedienungsanleitung", "report": ""}, + {"name": "Jahresabschluss 1998", "report": ""}, + ] + test_df = pd.DataFrame(test_data) + ba = Bundesanzeiger() + result = ba.filter_reports(test_df) + assert len(result) == 1 + assert result.iloc[0].jahr == "1998" + + +def test_get_information(mock_bundesanzeiger: Mock) -> None: + mock_bundesanzeiger.get_reports.return_value = [{}, {}] + ba = Bundesanzeiger() + result = ba.get_information("PRJ 23 Transparenzregister GmbH", "Iserlohn") + assert result is not None From 0a374a10f69cacf6a271db696faac8c8dbad44fd Mon Sep 17 00:00:00 2001 From: TrisNol Date: Wed, 6 Sep 2023 18:11:47 +0200 Subject: [PATCH 13/18] test(data-ingestion): Increase coverage on Bundesanzeiger wrapper --- pyproject.toml | 4 -- .../data_extraction/bundesanzeiger_test.py | 47 ++++++++++++------- 2 files changed, 31 insertions(+), 20 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index ae2393a..2aa450f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -90,10 +90,6 @@ pytest-cov = "^4.1.0" pytest-mock = "^3.10.0" pytest-repeat = "^0.9.1" -# TODO Add enrich_company_financials hinzufügen -[tool.poetry.scripts] -mein_test = "aki_prj23_transparenzregister.utils.postgres.connector:init_db" - [tool.ruff] exclude = [ ".bzr", diff --git a/tests/utils/data_extraction/bundesanzeiger_test.py b/tests/utils/data_extraction/bundesanzeiger_test.py index 49dbb3f..30e8007 100644 --- a/tests/utils/data_extraction/bundesanzeiger_test.py +++ b/tests/utils/data_extraction/bundesanzeiger_test.py @@ -1,7 +1,6 @@ -from unittest.mock import Mock +from unittest.mock import Mock, patch import pandas as pd -import pytest from aki_prj23_transparenzregister.models.company import FinancialKPIEnum from aki_prj23_transparenzregister.utils.data_extraction.bundesanzeiger import ( @@ -9,16 +8,6 @@ from aki_prj23_transparenzregister.utils.data_extraction.bundesanzeiger import ( ) -@pytest.fixture() -def mock_bundesanzeiger(mocker: Mock) -> Mock: - mock = Mock() - mocker.patch( - "deutschland.bundesanzeiger", - return_value=mock, - ) - return mock - - def test_extract_auditor_company_no_hits() -> None: input_data = """ @@ -79,8 +68,8 @@ def test_extracct_financial_results() -> None: def test_filter_reports() -> None: test_data = [ - {"name": "Bedienungsanleitung", "report": ""}, - {"name": "Jahresabschluss 1998", "report": ""}, + {"name": "Bedienungsanleitung", "report": "", "raw_report": ""}, + {"name": "Jahresabschluss 1998", "report": "", "raw_report": ""}, ] test_df = pd.DataFrame(test_data) ba = Bundesanzeiger() @@ -89,8 +78,34 @@ def test_filter_reports() -> None: assert result.iloc[0].jahr == "1998" +@patch( + "aki_prj23_transparenzregister.utils.data_extraction.bundesanzeiger.Ba.get_reports" +) def test_get_information(mock_bundesanzeiger: Mock) -> None: - mock_bundesanzeiger.get_reports.return_value = [{}, {}] + mock_bundesanzeiger.return_value = { + "1": { + "name": "Bedienungsanleitung", + "report": "", + "company": "", + "raw_report": "", + }, + "2": { + "name": "Jahresabschluss 1998", + "report": "", + "company": "PRJ 23 Transparenzregister GmbH", + "raw_report": "", + }, + } ba = Bundesanzeiger() result = ba.get_information("PRJ 23 Transparenzregister GmbH", "Iserlohn") - assert result is not None + assert len(result) == 1 + + +@patch( + "aki_prj23_transparenzregister.utils.data_extraction.bundesanzeiger.Ba.get_reports" +) +def test_get_information_no_results(mock_bundesanzeiger: Mock) -> None: + mock_bundesanzeiger.return_value = {} + ba = Bundesanzeiger() + result = ba.get_information("PRJ 23 Transparenzregister GmbH", "Iserlohn") + assert len(result) == 0 From ecf94d4b619f51486db6385929aa9ab286f7e125 Mon Sep 17 00:00:00 2001 From: Philipp Horstenkamp Date: Wed, 6 Sep 2023 19:08:44 +0200 Subject: [PATCH 14/18] Added an import smoke test. --- tests/apps/enrich_company_financials_test.py | 7 +++++++ 1 file changed, 7 insertions(+) create mode 100644 tests/apps/enrich_company_financials_test.py diff --git a/tests/apps/enrich_company_financials_test.py b/tests/apps/enrich_company_financials_test.py new file mode 100644 index 0000000..bfe0bd7 --- /dev/null +++ b/tests/apps/enrich_company_financials_test.py @@ -0,0 +1,7 @@ +"""Tests for the enrich_company_financials module.""" +from aki_prj23_transparenzregister.apps import enrich_company_financials + + +def test_import_enrich_company_financials() -> None: + """Testing if the enrich_company_financials can be imported.""" + assert enrich_company_financials From cfb4459a16a53e07aa14abbded99d8143886a9cc Mon Sep 17 00:00:00 2001 From: TrisNol Date: Thu, 7 Sep 2023 17:46:17 +0200 Subject: [PATCH 15/18] checkpoint --- .../apps/enrich_company_financials.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py b/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py index 4d69e2c..ce39892 100644 --- a/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py +++ b/src/aki_prj23_transparenzregister/apps/enrich_company_financials.py @@ -12,11 +12,11 @@ from aki_prj23_transparenzregister.utils.mongo.connector import MongoConnector def work(company: typing.Any, company_service: CompanyMongoService) -> None: - """... + """Process company regarding financials. Args: - company (dict): _description_ - company_service (CompanyMongoService): _description_ + company (dict): Company to process + company_service (CompanyMongoService): Interface to Company collection on MongoDB """ yearly_results = Bundesanzeiger().get_information( company["name"], company["location"]["city"] From 4944372ebcbca9159d56dccc9163cc05a086e302 Mon Sep 17 00:00:00 2001 From: TrisNol Date: Fri, 8 Sep 2023 18:56:10 +0200 Subject: [PATCH 16/18] test(date-ingestion): Cover enrich_company_financials --- tests/apps/enrich_company_financials_test.py | 29 ++++++++++++++++++++ 1 file changed, 29 insertions(+) diff --git a/tests/apps/enrich_company_financials_test.py b/tests/apps/enrich_company_financials_test.py index bfe0bd7..22232bd 100644 --- a/tests/apps/enrich_company_financials_test.py +++ b/tests/apps/enrich_company_financials_test.py @@ -1,7 +1,36 @@ """Tests for the enrich_company_financials module.""" +from unittest.mock import Mock, patch + +import pandas as pd + from aki_prj23_transparenzregister.apps import enrich_company_financials +from aki_prj23_transparenzregister.models.auditor import Auditor def test_import_enrich_company_financials() -> None: """Testing if the enrich_company_financials can be imported.""" assert enrich_company_financials + + +@patch( + "aki_prj23_transparenzregister.apps.enrich_company_financials.Bundesanzeiger.get_information" +) +@patch( + "aki_prj23_transparenzregister.apps.enrich_company_financials.CompanyMongoService" +) +def test_work(mock_compnay_service: Mock, mock_bundesanzeiger: Mock) -> None: + mock_bundesanzeiger.return_value = pd.DataFrame( + [ + { + "jahr": "2042", + "auditors": [Auditor(name="", company="")], + "financial_results": [], + } + ] + ) + # mock_compnay_service.add_yearly_resreturn_value + enrich_company_financials.work( + {"_id": "", "name": "ABC AG", "location": {"city": "Haltern am See"}}, + mock_compnay_service, + ) + assert enrich_company_financials From 2eaa1c5a65cf12c561dd268ae74250888dc9fe6d Mon Sep 17 00:00:00 2001 From: TrisNol Date: Fri, 8 Sep 2023 19:09:27 +0200 Subject: [PATCH 17/18] test(utils): Cover added functiosnn in CompanyMongoService --- .../utils/mongo/company_mongo_service_test.py | 52 +++++++++++++++++-- 1 file changed, 49 insertions(+), 3 deletions(-) diff --git a/tests/utils/mongo/company_mongo_service_test.py b/tests/utils/mongo/company_mongo_service_test.py index 5078cc2..ba761e0 100644 --- a/tests/utils/mongo/company_mongo_service_test.py +++ b/tests/utils/mongo/company_mongo_service_test.py @@ -73,7 +73,7 @@ def test_by_id_no_result(mock_mongo_connector: Mock, mock_collection: Mock) -> N mock_mongo_connector.database = {"companies": mock_collection} service = CompanyMongoService(mock_mongo_connector) mock_collection.find.return_value = [] - assert service.get_by_id("Does not exist") is None # type: ignore + assert service.get_by_id("Does not exist") is None def test_by_id_result(mock_mongo_connector: Mock, mock_collection: Mock) -> None: @@ -87,7 +87,7 @@ def test_by_id_result(mock_mongo_connector: Mock, mock_collection: Mock) -> None service = CompanyMongoService(mock_mongo_connector) mock_entry = {"id": "Does exist", "vaue": 42} mock_collection.find.return_value = [mock_entry] - assert service.get_by_id("Does exist") == mock_entry # type: ignore + assert service.get_by_id("Does exist") == mock_entry def test_insert(mock_mongo_connector: Mock, mock_collection: Mock) -> None: @@ -101,4 +101,50 @@ def test_insert(mock_mongo_connector: Mock, mock_collection: Mock) -> None: service = CompanyMongoService(mock_mongo_connector) mock_result = 42 mock_collection.insert_one.return_value = mock_result - assert service.insert(Company(None, None, "", "", [])) == mock_result # type: ignore + assert service.insert(Company(None, None, "", "", [])) == mock_result + + +def test_get_by_object_id_no_result( + mock_mongo_connector: Mock, mock_collection: Mock +) -> None: + mock_mongo_connector.database = {"companies": mock_collection} + service = CompanyMongoService(mock_mongo_connector) + mock_result: list = [] + mock_collection.find.return_value = mock_result + assert service.get_by_object_id("649f16a1e198338c3b44299e") is None + + +def test_get_by_object_id(mock_mongo_connector: Mock, mock_collection: Mock) -> None: + mock_mongo_connector.database = {"companies": mock_collection} + service = CompanyMongoService(mock_mongo_connector) + mock_result: list = [{"_id": "abc", "brille?": "Fielmann", "Hotel?": "Trivago"}] + mock_collection.find.return_value = mock_result + assert service.get_by_object_id("612316a1e198338c3b44299e") == mock_result[0] + + +def test_get_where_financial_no_results( + mock_mongo_connector: Mock, mock_collection: Mock +) -> None: + mock_mongo_connector.database = {"companies": mock_collection} + service = CompanyMongoService(mock_mongo_connector) + mock_result: list = [{"_id": "abc", "brille?": "Fielmann", "Hotel?": "Trivago"}] + mock_collection.find.return_value = mock_result + assert service.get_where_no_financial_results() == mock_result + + +def test_get_where_financial_results( + mock_mongo_connector: Mock, mock_collection: Mock +) -> None: + mock_mongo_connector.database = {"companies": mock_collection} + service = CompanyMongoService(mock_mongo_connector) + mock_result: list = [{"_id": "abc", "brille?": "Fielmann", "Hotel?": "Trivago"}] + mock_collection.find.return_value = mock_result + assert service.get_where_yearly_results() == mock_result + + +def test_add_yearly_reslults(mock_mongo_connector: Mock, mock_collection: Mock) -> None: + mock_mongo_connector.database = {"companies": mock_collection} + service = CompanyMongoService(mock_mongo_connector) + mock_result: list = [{"_id": "abc", "brille?": "Fielmann", "Hotel?": "Trivago"}] + mock_collection.update_one.return_value = mock_result + assert service.add_yearly_results("612316a1e198338c3b44299e", {}) == mock_result From b91ecdfe42000558da9ae16a29301a542521dd4a Mon Sep 17 00:00:00 2001 From: TrisNol Date: Sat, 9 Sep 2023 09:57:43 +0200 Subject: [PATCH 18/18] test(data-ingestion): Fix myPy complaints regarding tests --- .../utils/mongo/company_mongo_service.py | 4 ++-- tests/utils/mongo/company_mongo_service_test.py | 9 +++++++-- 2 files changed, 9 insertions(+), 4 deletions(-) diff --git a/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py b/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py index 2c7d1db..c2641bb 100644 --- a/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py +++ b/src/aki_prj23_transparenzregister/utils/mongo/company_mongo_service.py @@ -4,7 +4,7 @@ from threading import Lock from bson.objectid import ObjectId from pymongo.results import InsertOneResult, UpdateResult -from aki_prj23_transparenzregister.models.company import Company, CompanyID +from aki_prj23_transparenzregister.models.company import Company from aki_prj23_transparenzregister.utils.mongo.connector import MongoConnector @@ -30,7 +30,7 @@ class CompanyMongoService: result = self.collection.find() return list(result) - def get_by_id(self, id: CompanyID) -> Company | None: + def get_by_id(self, id: str) -> Company | None: """_summary_. Args: diff --git a/tests/utils/mongo/company_mongo_service_test.py b/tests/utils/mongo/company_mongo_service_test.py index ba761e0..aa75949 100644 --- a/tests/utils/mongo/company_mongo_service_test.py +++ b/tests/utils/mongo/company_mongo_service_test.py @@ -3,7 +3,7 @@ from unittest.mock import Mock import pytest -from aki_prj23_transparenzregister.models.company import Company +from aki_prj23_transparenzregister.models.company import Company, CompanyID, Location from aki_prj23_transparenzregister.utils.mongo.company_mongo_service import ( CompanyMongoService, ) @@ -101,7 +101,12 @@ def test_insert(mock_mongo_connector: Mock, mock_collection: Mock) -> None: service = CompanyMongoService(mock_mongo_connector) mock_result = 42 mock_collection.insert_one.return_value = mock_result - assert service.insert(Company(None, None, "", "", [])) == mock_result + assert ( + service.insert( + Company(CompanyID("", ""), Location("Hier und Dort"), "", "", []) + ) + == mock_result + ) def test_get_by_object_id_no_result(