Merge branch 'main' into feature/additional-stammdaten

2025-05-15 06:48:45 +02:00 · 2023-09-23 10:32:09 +02:00 · 2023-09-23 10:32:09 +02:00 · 77f08cd901
commit 77f08cd901
parent d6223b4192 286636dfa4
36 changed files with 3086 additions and 725 deletions
--- a/.github/workflows/documentation.yaml
+++ b/.github/workflows/documentation.yaml
@ -5,6 +5,7 @@ on:
    branches:
    - main
  pull_request:
+    types: [opened, reopened, synchronize]

 jobs:
  doc-build:
--- a/.github/workflows/lint-actions.yaml
+++ b/.github/workflows/lint-actions.yaml
@ -3,6 +3,7 @@ name: Python-Lint
 on:
  push:
  pull_request:
+    types: [reopened, opened]

 jobs:
  Black:
@ -15,14 +16,8 @@ jobs:
        python-version: '3.11'
    - name: Check out Git repository
      uses: actions/checkout@v3
-    - name: Install and configure Poetry
-      uses: snok/install-poetry@v1
-      with:
-        version: 1.4.2
-        virtualenvs-create: false
-        virtualenvs-path: ~/local/share/virtualenvs
-    - run: poetry install --without develop,doc,test
-    - name: Run linters
+    - run: pip install black
+    - name: Run black
      run: |
        black src tests

@ -43,7 +38,7 @@ jobs:
        virtualenvs-create: false
        virtualenvs-path: ~/local/share/virtualenvs
    - run: poetry install --without develop,doc
-    - name: Run linters
+    - name: Run mypy
      run: |
        mypy src tests

@ -53,7 +48,7 @@ jobs:
    - uses: actions/checkout@v3
    - uses: chartboost/ruff-action@v1
      with:
-        version: 0.0.287
+        version: 0.0.290

  python-requirements:
    name: Check Python Requirements
--- a/.github/workflows/test-and-build-action.yaml
+++ b/.github/workflows/test-and-build-action.yaml
@ -2,6 +2,7 @@ name: Test & Build

 on:
  pull_request:
+    types: [reopened, opened, synchronize]
  push:

 jobs:
@ -58,11 +59,12 @@ jobs:
      with:
        coverageFile: coverage.xml
        token: ${{ secrets.GITHUB_TOKEN }}
-        thresholdAll: 0.8
-        thresholdNew: 0.8
-        thresholdModified: 0.8
+        thresholdAll: 0.7
+        thresholdNew: 0.7
+        thresholdModified: 0.7

  coverage_report:
+    if: ${{ github.event_name == 'push' }}
    runs-on: ubuntu-latest
    needs: test
    steps:
@ -99,6 +101,7 @@ jobs:
  build:
    runs-on: ubuntu-latest
    needs: test
+    if: ${{ github.event_name == 'push' }}
    steps:
    - name: Setup Python
      uses: actions/setup-python@v4
--- a/.gitignore
+++ b/.gitignore
@ -3,6 +3,9 @@
 *secrets.json
 *secrets_prod.json

+# Settings
+.vscode/
+
 # Snyk
 .dccache

@ -217,3 +220,5 @@ replay_pid*
 /unit-test-results.xml
 /lbr-audit.md
 /.ruff_cache/
+/Jupyter/test.ipynb
+/secrets*.json
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@ -26,13 +26,13 @@ repos:

 - repo: https://github.com/astral-sh/ruff-pre-commit
    # Ruff version.
-  rev: v0.0.287
+  rev: v0.0.290
  hooks:
  - id: ruff
    args: [--fix, --exit-non-zero-on-fix]

 - repo: https://github.com/psf/black
-  rev: 23.9.0
+  rev: 23.9.1
  hooks:
  - id: black
    args: [--config=pyproject.toml]
@ -65,6 +65,8 @@ repos:
    - types-setuptools
    - types-requests
    - types-pyOpenSSL
+    - types-cachetools
+    - loguru-mypy

 - repo: https://github.com/frnmst/md-toc
  rev: 8.2.0
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@ -1,3 +0,0 @@
-{
-  "files.eol": "\n"
-}
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@ -2,7 +2,7 @@

 ## Dev Setup

- [Install Python 3.11](https://www.python.org/downloads/release/python-3111/)
+- [Install Python 3.11](https://www.python.org/downloads/release/python-3115/)
 - [Install Poetry](https://python-poetry.org/docs/#installation)
 - [Install GiT](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
 - [Configure GiT](https://support.atlassian.com/bitbucket-cloud/docs/configure-your-dvcs-username-for-commits/)
--- a/README.md
+++ b/README.md
@ -12,15 +12,22 @@

 See the [CONTRIBUTING.md](CONTRIBUTING.md) about how code should be formatted and what kind of rules we set ourselves.

+## Available entrypoints
+
+The project has currently the following entrypoint available:
+
+- data-transfer > Transfers all the data from the mongodb into the sql db to make it available as production data.
+- reset-sql > Resets all sql tables in the connected db.
+
 ## DB Connection settings

-To connect to the SQL db see [sql/connector.py](./src/aki_prj23_transparenzregister/utils/postgres/connector.py)
+To connect to the SQL db see [sql/connector.py](./src/aki_prj23_transparenzregister/utils/sql/connector.py)
 To connect to the Mongo db see [connect]

 Create a `secrets.json` in the root of this repo with the following structure (values to be replaces by desired config):

 ```json
-   {
+{
  "postgres": {
    "username": "postgres",
    "password": "postgres",
@ -38,8 +45,10 @@ Create a `secrets.json` in the root of this repo with the following structure (v
 }
 ```

-Alternatively, the secrets can be provided as environment variables. One option to do so is to add a `.env` file with the following layout:
-```ini
+Alternatively, the secrets can be provided as environment variables. One option to do so is to add a `.env` file with
+the following layout:
+
+```
 PYTHON_POSTGRES_USERNAME=postgres
 PYTHON_POSTGRES_PASSWORD=postgres
 PYTHON_POSTGRES_HOST=localhost
--- a/documentations/conf.py
+++ b/documentations/conf.py
@ -43,6 +43,7 @@ extensions: Final[list[str]] = [
    "sphinx.ext.viewcode",
    "IPython.sphinxext.ipython_console_highlighting",
    "sphinxcontrib.mermaid",
+    "notfound.extension",
 ]

 # templates_path : Final[list[str]] = ["_templates"]
@ -86,3 +87,5 @@ intersphinx_mapping: Final[dict[str, tuple[str, None]]] = {
    "scikit-learn": ("https://scikit-learn.org/stable/", None),
    "sphinx": ("https://docs.sympy.org/latest/", None),
 }
+
+notfound_urls_prefix = "/"
--- a/poetry.lock
+++ b/poetry.lock
@ -322,6 +322,17 @@ dev = ["CacheControl[filecache,redis]", "black", "build", "cherrypy", "mypy", "p
 filecache = ["filelock (>=3.8.0)"]
 redis = ["redis (>=2.10.5)"]

+[[package]]
+name = "cachetools"
+version = "5.3.1"
+description = "Extensible memoizing collections and decorators"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "cachetools-5.3.1-py3-none-any.whl", hash = "sha256:95ef631eeaea14ba2e36f06437f36463aac3a096799e876ee55e5cdccb102590"},
+    {file = "cachetools-5.3.1.tar.gz", hash = "sha256:dce83f2d9b4e1f732a8cd44af8e8fab2dbe46201467fc98b3ef8f269092bf62b"},
+]
+
 [[package]]
 name = "certifi"
 version = "2023.7.22"
@ -623,6 +634,77 @@ mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.2.0)", "types-Pill
 test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
 test-no-images = ["pytest", "pytest-cov", "wurlitzer"]

+[[package]]
+name = "contourpy"
+version = "1.1.1"
+description = "Python library for calculating contours of 2D quadrilateral grids"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "contourpy-1.1.1.tar.gz", hash = "sha256:96ba37c2e24b7212a77da85004c38e7c4d155d3e72a45eeaf22c1f03f607e8ab"},
+]
+
+[package.dependencies]
+numpy = {version = ">=1.16,<2.0", markers = "python_version <= \"3.11\""}
+
+[package.extras]
+bokeh = ["bokeh", "selenium"]
+docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.4.1)", "types-Pillow"]
+test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
+test-no-images = ["pytest", "pytest-cov", "wurlitzer"]
+
 [[package]]
 name = "coverage"
 version = "7.3.1"
@ -689,34 +771,34 @@ toml = ["tomli"]

 [[package]]
 name = "cryptography"
-version = "41.0.3"
+version = "41.0.4"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = ">=3.7"
 files = [
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 numpy = "^1.19.0"
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 Pillow = "^10.0.0"
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 [package.dependencies]
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 cycler = ">=0.10"
 fonttools = ">=4.22.0"
 kiwisolver = ">=1.0.1"
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 packaging = ">=20.0"
 pillow = ">=6.2.0"
 pyparsing = ">=2.3.1"
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 [[package]]
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 [[package]]
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 [[package]]
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 [[package]]
 name = "notebook"
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+    {file = "ruff-0.0.290.tar.gz", hash = "sha256:949fecbc5467bb11b8db810a7fa53c7e02633856ee6bd1302b2f43adcd71b88d"},
 ]

 [[package]]
@ -4674,23 +4831,23 @@ testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jar

 [[package]]
 name = "setuptools-scm"
-version = "7.1.0"
+version = "8.0.3"
 description = "the blessed package to manage your versions by scm tags"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "setuptools_scm-7.1.0-py3-none-any.whl", hash = "sha256:73988b6d848709e2af142aa48c986ea29592bbcfca5375678064708205253d8e"},
-    {file = "setuptools_scm-7.1.0.tar.gz", hash = "sha256:6c508345a771aad7d56ebff0e70628bf2b0ec7573762be9960214730de278f27"},
+    {file = "setuptools-scm-8.0.3.tar.gz", hash = "sha256:0169fd70197efda2f8c4d0b2a7a3d614431b488116f37b79d031e9e7ec884d8c"},
+    {file = "setuptools_scm-8.0.3-py3-none-any.whl", hash = "sha256:813822234453438a13c78d05c8af29918fbc06f88efb33d38f065340bbb48c39"},
 ]

 [package.dependencies]
-packaging = ">=20.0"
+packaging = ">=20"
 setuptools = "*"
-typing-extensions = "*"

 [package.extras]
-test = ["pytest (>=6.2)", "virtualenv (>20)"]
-toml = ["setuptools (>=42)"]
+docs = ["entangled-cli[rich]", "mkdocs", "mkdocs-entangled-plugin", "mkdocs-material", "mkdocstrings[python]", "pygments"]
+rich = ["rich"]
+test = ["pytest", "rich", "virtualenv (>20)"]

 [[package]]
 name = "shapely"
@ -4884,6 +5041,24 @@ sphinx = ">=1.8"
 code-style = ["pre-commit (==2.12.1)"]
 rtd = ["ipython", "myst-nb", "sphinx", "sphinx-book-theme", "sphinx-examples"]

+[[package]]
+name = "sphinx-notfound-page"
+version = "1.0.0"
+description = "Sphinx extension to build a 404 page with absolute URLs"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "sphinx_notfound_page-1.0.0-py3-none-any.whl", hash = "sha256:40a5741a6b07245a08fe55dbbd603ad6719e191b1419ab2e5337c706ebd16554"},
+    {file = "sphinx_notfound_page-1.0.0.tar.gz", hash = "sha256:14cd388956de5cdf8710ab4ff31776ef8d85759c4f46014ee30f368e83bd3a3b"},
+]
+
+[package.dependencies]
+sphinx = ">=5"
+
+[package.extras]
+doc = ["sphinx-autoapi", "sphinx-rtd-theme", "sphinx-tabs", "sphinxemoji"]
+test = ["tox"]
+
 [[package]]
 name = "sphinx-rtd-theme"
 version = "1.3.0"
@ -5331,6 +5506,17 @@ exceptiongroup = "*"
 trio = ">=0.11"
 wsproto = ">=0.14"

+[[package]]
+name = "types-cachetools"
+version = "5.3.0.6"
+description = "Typing stubs for cachetools"
+optional = false
+python-versions = "*"
+files = [
+    {file = "types-cachetools-5.3.0.6.tar.gz", hash = "sha256:595f0342d246c8ba534f5a762cf4c2f60ecb61e8002b8b2277fd5cf791d4e851"},
+    {file = "types_cachetools-5.3.0.6-py3-none-any.whl", hash = "sha256:f7f8a25bfe306f2e6bc2ad0a2f949d9e72f2d91036d509c36d3810bf728bc6e1"},
+]
+
 [[package]]
 name = "types-pyopenssl"
 version = "23.2.0.2"
@ -5347,24 +5533,24 @@ cryptography = ">=35.0.0"

 [[package]]
 name = "types-pytz"
-version = "2023.3.0.1"
+version = "2023.3.1.1"
 description = "Typing stubs for pytz"
 optional = false
 python-versions = "*"
 files = [
-    {file = "types-pytz-2023.3.0.1.tar.gz", hash = "sha256:1a7b8d4aac70981cfa24478a41eadfcd96a087c986d6f150d77e3ceb3c2bdfab"},
-    {file = "types_pytz-2023.3.0.1-py3-none-any.whl", hash = "sha256:65152e872137926bb67a8fe6cc9cfd794365df86650c5d5fdc7b167b0f38892e"},
+    {file = "types-pytz-2023.3.1.1.tar.gz", hash = "sha256:cc23d0192cd49c8f6bba44ee0c81e4586a8f30204970fc0894d209a6b08dab9a"},
+    {file = "types_pytz-2023.3.1.1-py3-none-any.whl", hash = "sha256:1999a123a3dc0e39a2ef6d19f3f8584211de9e6a77fe7a0259f04a524e90a5cf"},
 ]

 [[package]]
 name = "types-requests"
-version = "2.31.0.2"
+version = "2.31.0.4"
 description = "Typing stubs for requests"
 optional = false
 python-versions = "*"
 files = [
-    {file = "types-requests-2.31.0.2.tar.gz", hash = "sha256:6aa3f7faf0ea52d728bb18c0a0d1522d9bfd8c72d26ff6f61bfc3d06a411cf40"},
-    {file = "types_requests-2.31.0.2-py3-none-any.whl", hash = "sha256:56d181c85b5925cbc59f4489a57e72a8b2166f18273fd8ba7b6fe0c0b986f12a"},
+    {file = "types-requests-2.31.0.4.tar.gz", hash = "sha256:a111041148d7e04bf100c476bc4db3ee6b0a1cd0b4018777f6a660b1c4f1318d"},
+    {file = "types_requests-2.31.0.4-py3-none-any.whl", hash = "sha256:c7a9d6b62776f21b169a94a0e9d2dfcae62fa9149f53594ff791c3ae67325490"},
 ]

 [package.dependencies]
@ -5405,13 +5591,13 @@ files = [

 [[package]]
 name = "typing-extensions"
-version = "4.7.1"
-description = "Backported and Experimental Type Hints for Python 3.7+"
+version = "4.8.0"
+description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.7.1-py3-none-any.whl", hash = "sha256:440d5dd3af93b060174bf433bccd69b0babc3b15b1a8dca43789fd7f61514b36"},
-    {file = "typing_extensions-4.7.1.tar.gz", hash = "sha256:b75ddc264f0ba5615db7ba217daeb99701ad295353c45f9e95963337ceeeffb2"},
+    {file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"},
+    {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
 ]

 [[package]]
@ -5458,13 +5644,13 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake

 [[package]]
 name = "urllib3"
-version = "2.0.4"
+version = "2.0.5"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "urllib3-2.0.4-py3-none-any.whl", hash = "sha256:de7df1803967d2c2a98e4b11bb7d6bd9210474c46e8a0401514e3a42a75ebde4"},
-    {file = "urllib3-2.0.4.tar.gz", hash = "sha256:8d22f86aae8ef5e410d4f539fde9ce6b2113a001bb4d189e0aed70642d602b11"},
+    {file = "urllib3-2.0.5-py3-none-any.whl", hash = "sha256:ef16afa8ba34a1f989db38e1dbbe0c302e4289a47856990d0682e374563ce35e"},
+    {file = "urllib3-2.0.5.tar.gz", hash = "sha256:13abf37382ea2ce6fb744d4dad67838eec857c9f4f57009891805e0b5e123594"},
 ]

 [package.dependencies]
@ -5622,4 +5808,4 @@ ingest = ["selenium"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11"
-content-hash = "f8728eee18c7402c68901a65631c2f3c0bd1a04fb1fb952f3746a12f47a9b9a4"
+content-hash = "74a489166b43b622c3292733e264c1771a734de1d2cae0e29fbd80a480bd707f"
--- a/pyproject.toml
+++ b/pyproject.toml
@ -6,7 +6,7 @@ requires = ["poetry-core"]
 target-version = ["py311"]

 [tool.coverage.report]
-exclude_also = ["if __name__ == .__main__.:"]
+exclude_also = ["if __name__ == .__main__.:", "if not isinstance(engine, Engine):"]

 [tool.coverage.run]
 branch = true
@ -16,7 +16,7 @@ source = ["src"]

 [tool.mypy]
 disallow_untyped_defs = true
-exclude = ".ipynb_checkpoints, .mypy_cache, .mytest_cache, build"
+exclude = [".ipynb_checkpoints", ".mypy_cache", ".mytest_cache", "build", "venv", ".venv", "Jupyter"]
 follow_imports = "silent"
 ignore_missing_imports = true
 install_types = true
@ -35,30 +35,32 @@ readme = "README.md"
 version = "0.1.0"

 [tool.poetry.dependencies]
-SQLAlchemy = {version = "^1.4.46", extras = ["mypy"]}
+SQLAlchemy = {version = "^1.4.49", extras = ["mypy"]}
 aenum = "^3.1.15"
-dash = "^2.11.1"
-dash-bootstrap-components = "^1.4.2"
+cachetools = "^5.3.1"
+dash = "^2.13.0"
+dash-bootstrap-components = "^1.5.0"
 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"
+matplotlib = "^3.7.2"
+plotly = "^5.16.1"
 psycopg2-binary = "^2.9.7"
-pymongo = "^4.4.1"
+pymongo = "^4.5.0"
 python = "^3.11"
 python-dotenv = "^1.0.0"
 seaborn = "^0.12.2"
-selenium = "^4.10.0"
-tqdm = "^4.65.0"
+selenium = "^4.12.0"
+tqdm = "^4.66.1"
 xmltodict = "^0.13.0"

 [tool.poetry.extras]
 ingest = ["selenium"]

 [tool.poetry.group.develop.dependencies]
-black = {extras = ["jupyter"], version = "^23.9.0"}
-jupyterlab = "^4.0.5"
+black = {extras = ["jupyter"], version = "^23.9.1"}
+jupyterlab = "^4.0.6"
 nbconvert = "^7.8.0"
+openpyxl = "^3.1.2"
 pre-commit = "^3.4.0"
 rise = "^5.7.1"

@ -66,20 +68,23 @@ rise = "^5.7.1"
 jupyter = "^1.0.0"
 myst-parser = "^1.0.0"
 nbsphinx = "^0.9.2"
-sphinx = "^6.2.1"
+sphinx = "*"
 sphinx-copybutton = "^0.5.2"
+sphinx-notfound-page = "^1.0.0"
 sphinx-rtd-theme = "^1.3.0"
 sphinx_autodoc_typehints = "*"
 sphinxcontrib-mermaid = "^0.9.2"
 sphinxcontrib-napoleon = "^0.7"

 [tool.poetry.group.lint.dependencies]
-black = "^23.9.0"
+black = "^23.9.1"
+loguru-mypy = "^0.0.4"
 mypy = "^1.5.1"
 pandas-stubs = "^2.0.3.230814"
 pip-audit = "^2.6.1"
 pip-licenses = "^4.3.2"
-ruff = "^0.0.287"
+ruff = "^0.0.290"
+types-cachetools = "^5.3.0.6"
 types-pyOpenSSL = "*"
 types-requests = "^2.31.0.2"
 types-setuptools = "*"
@ -92,6 +97,10 @@ pytest-cov = "^4.1.0"
 pytest-mock = "^3.11.1"
 pytest-repeat = "^0.9.1"

+[tool.poetry.scripts]
+data-transfer = "aki_prj23_transparenzregister.utils.data_transfer:transfer_data"
+reset-sql = "aki_prj23_transparenzregister.utils.sql.connector:reset_all_tables"
+
 [tool.ruff]
 exclude = [
  ".bzr",
@ -129,7 +138,7 @@ unfixable = ["B"]
 builtins-ignorelist = ["id"]

 [tool.ruff.per-file-ignores]
-"tests/*.py" = ["S101", "D100", "D101", "D107", "D103"]
+"tests/*.py" = ["S101", "SLF001", "S311", "D103"]

 [tool.ruff.pydocstyle]
 convention = "google"
--- a/src/aki_prj23_transparenzregister/config/config_providers.py
+++ b/src/aki_prj23_transparenzregister/config/config_providers.py
@ -23,7 +23,6 @@ class ConfigProvider(metaclass=abc.ABCMeta):
        Returns:
            PostgreConnectionString: Connection details
        """
-        raise NotImplementedError

    @abc.abstractmethod
    def get_mongo_connection_string(self) -> MongoConnection:
@ -35,7 +34,6 @@ class ConfigProvider(metaclass=abc.ABCMeta):
        Returns:
            MongoConnection: Connection details
        """
-        raise NotImplementedError


 class JsonFileConfigProvider(ConfigProvider):
@ -44,7 +42,7 @@ class JsonFileConfigProvider(ConfigProvider):
    __data__: dict = {}

    def __init__(self, file_path: str):
-        """Constructor reading it's data from given .json file.
+        """Constructor reading its data from a given .json file.

        Args:
            file_path (str): PATH to .json file containing config
@ -78,7 +76,7 @@ class JsonFileConfigProvider(ConfigProvider):
        )

    def get_mongo_connection_string(self) -> MongoConnection:
-        """Read MongodB connection string from .json file added in constructor.
+        """Read MongoDB connection string from .json file added in constructor.

        Returns:
            MongoConnection: Connection details
@ -124,7 +122,7 @@ class EnvironmentConfigProvider(ConfigProvider):
        )

    def get_mongo_connection_string(self) -> MongoConnection:
-        """Read MongodB connection string from environment variables.
+        """Read MongoDB connection string from environment variables.

        Returns:
            MongoConnection: Connection details
--- a/src/aki_prj23_transparenzregister/models/company.py
+++ b/src/aki_prj23_transparenzregister/models/company.py
@ -198,6 +198,8 @@ class Capital:

@dataclass
 class Company:
+    """_summary_."""
+
    """Company dataclass."""

    id: CompanyID
@ -212,9 +214,5 @@ class Company:
    founding_date: str | None = None

    def to_dict(self) -> dict:
-        """_summary_.
-
-        Returns:
-            dict: _description_
-        """
+        """_summary_."""
        return asdict(self)
--- a/src/aki_prj23_transparenzregister/ui/assets/company_stats.css
+++ b/src/aki_prj23_transparenzregister/ui/assets/company_stats.css
@ -0,0 +1,69 @@
+.company-header {
+    float: left;
+    background-color: var(--paynes-gray);
+    border: 1px solid;
+    width: 100%;
+}
+
+.company-header .company-header-title {
+    color: white;
+    text-align: left;
+    margin: 0;
+    vertical-align: middle;
+    padding: 20px;
+}
+
+.stats-wrapper {
+    float: left;
+    width: 100%;
+    background-color: white;
+    margin-top: 20px;
+    margin-right: 2%;
+}
+
+.stats-wrapper .widget-large {
+    background-color: var(--ash-gray);
+    border: 1px solid;
+    border-radius: 10px;
+    width: 45%;
+    min-width: 600px;
+    display: inline-block;
+    vertical-align: middle;
+    margin-left: 2%;
+    overflow: hidden;
+}
+
+.stats-wrapper .widget-large .widget-title {
+    color: var(--raisin-black);
+    text-align: center;
+    margin: 0;
+    padding-bottom: 10px;
+    padding-top: 10px;
+}
+
+.stats-wrapper .widget-small {
+    background-color: var(--ash-gray);
+    border: 1px solid;
+    border-radius: 10px;
+    width: 15%;
+    min-width: 200px;
+    height: 150px;
+    display: inline-block;
+    vertical-align: middle;
+    margin-top: 10px;
+    margin-bottom: 10px;
+    margin-left: 2%;
+}
+
+.stats-wrapper .widget-small .widget-title {
+    color: var(--raisin-black);
+    text-align: center;
+    margin: 0;
+    padding-bottom: 10px;
+    padding-top: 10px;
+}
+
+.stats-wrapper .widget-small .widget-content {
+    color: var(--raisin-black);
+    text-align: center;
+}
--- a/src/aki_prj23_transparenzregister/ui/assets/header.css
+++ b/src/aki_prj23_transparenzregister/ui/assets/header.css
@ -0,0 +1,58 @@
+:root {
+    --light: #edefef;
+    --lavender-blush: #f3e8ee;
+    --ash-gray: #bacdb0;
+    --cambridge-blue: #729b79;
+    --paynes-gray: #475b63;
+    --raisin-black: #2e2c2f;
+}
+
+.header-wrapper {
+    float:left;
+    background-color: var(--raisin-black);
+    border: 1px solid;
+    width: 100%;
+    overflow: visible;
+    min-height: 77px;
+}
+
+.header-wrapper .header-title {
+    float: left;
+    text-align: left;
+    margin: 0;
+    padding-left: 15px;
+    padding-top: 20px;
+    padding-bottom: 20px;
+    vertical-align: middle;
+}
+
+.header-wrapper .header-title .bi-house-door-fill {
+    color: white;
+    font-size: x-large;
+    display: inline-block;
+    vertical-align: middle;
+    padding-right: 15px;
+}
+
+.header-wrapper .header-title .header-title-text {
+    color: white;
+    text-align: left;
+    margin: 0;
+    display: inline-block;
+    vertical-align: middle;
+}
+
+.header-wrapper .header-search {
+    float: right;
+    width: 400px;
+    margin: 0;
+    padding-right: 10px;
+    padding-bottom: 20px;
+    padding-top: 20px;
+    vertical-align: middle;
+    overflow: visible !important;
+}
+
+.header-wrapper .header-search .header-search-dropdown {
+    overflow: visible;
+}
--- a/src/aki_prj23_transparenzregister/ui/assets/tabs.css
+++ b/src/aki_prj23_transparenzregister/ui/assets/tabs.css
@ -0,0 +1,23 @@
+.tabs {
+    float: left;
+    margin-top: 20px;
+    border: 1px solid;
+    width: 100%;
+}
+
+.tabs .tab-style {
+    border-bottom: 1px solid #d6d6d6 !important;
+    padding: 8px !important;
+    background-color: white !important;
+    color: var(--paynes-gray) !important;
+    font-weight: bold !important;
+}
+
+.tabs .selected-tab-style {
+    border-bottom: 1px solid #d6d6d6 !important;
+    border-top: 1px solid #d6d6d6 !important;
+    padding: 8px !important;
+    color: white !important;
+    background-color: var(--paynes-gray) !important;
+    font-weight: bold !important;
+}
--- a/src/aki_prj23_transparenzregister/ui/company_finance_dash.py
+++ b/src/aki_prj23_transparenzregister/ui/company_finance_dash.py
@ -1,390 +1,78 @@
 """Dash."""

 import dash_bootstrap_components as dbc
-import pandas as pd
-import plotly.graph_objs as go
-from dash import Dash, Input, Output, callback, dash_table, dcc, html
-from dash.exceptions import PreventUpdate
-from sqlalchemy.engine import Engine
+from dash import Dash, Input, Output, callback, html

 from aki_prj23_transparenzregister.config.config_providers import JsonFileConfigProvider
-from aki_prj23_transparenzregister.utils.sql import connector, entities
+from aki_prj23_transparenzregister.ui.ui_elements import (
+    create_company_header,
+    create_company_stats,
+    create_header,
+    create_tabs,
+    get_company_data,
+    get_finance_data,
+)
+from aki_prj23_transparenzregister.utils.sql import connector

 if __name__ == "__main__":
    session = connector.get_session(JsonFileConfigProvider("./secrets.json"))
-    query_finance = session.query(
-        entities.AnnualFinanceStatement, entities.Company.name, entities.Company.id
-    ).join(entities.Company)
-
-    query_company = session.query(entities.Company, entities.DistrictCourt.name).join(
-        entities.DistrictCourt
-    )
-    engine = session.bind
-    if not isinstance(engine, Engine):
-        raise TypeError
-
-    finance_df: pd.DataFrame = pd.read_sql(str(query_finance), engine)
-    company_df: pd.DataFrame = pd.read_sql(str(query_company), engine)
-
-    select_company_df = company_df[["company_id", "company_name"]]
-    select_company_dropdown = select_company_df.to_dict("records")
-    options = [
-        {"label": i["company_name"], "value": i["company_id"]}
-        for i in select_company_dropdown
-    ]
-
-    colors = {
-        "light": "#edefef",
-        "lavender-blush": "#f3e8ee",
-        "ash-gray": "#bacdb0",
-        "cambridge-blue": "#729b79",
-        "paynes-gray": "#475b63",
-        "raisin-black": "#2e2c2f",
-    }
-
-    def financials_figure(
-        finance_df: pd.DataFrame, company: str, metric: str
-    ) -> go.Figure:
-        """Creates plotly line chart for a specific company and a metric."""
-        finance_df = finance_df.loc[finance_df["company_name"] == company]
-        # create figure
-        fig_line = go.Figure()
-        # add trace for company 1
-        fig_line.add_trace(
-            go.Scatter(
-                x=finance_df["annual_finance_statement_date"],
-                y=finance_df[metric],
-                name=company,
-                line_color=colors["raisin-black"],
-                marker_color=colors["raisin-black"],
-            )
-        )
-        # set title and labels
-        fig_line.update_layout(
-            title=metric,
-            xaxis_title="Jahr",
-            yaxis_title="in Mio.€",
-            plot_bgcolor=colors["light"],
-        )
-        return fig_line
-
-    tab_style = {
-        "borderBottom": "1px solid #d6d6d6",
-        "padding": "6px",
-        "backgroundColor": "white",
-        "color": colors["paynes-gray"],
-        "fontWeight": "bold",
-    }
-
-    tab_selected_style = {
-        "borderTop": "1px solid #d6d6d6",
-        "borderBottom": "1px solid #d6d6d6",
-        "padding": "6px",
-        "backgroundColor": colors["paynes-gray"],
-        "color": "white",
-        "fontWeight": "bold",
-    }
-
-    # TBD: get data from database instead of mock data
-    company = 1  # selected company id
-    selected_company = company_df.loc[company_df["company_id"] == company]
-
-    turnover = 123456
-    stock = "1,23"
-    company_data = {
-        "col1": ["Unternehmen", "Straße", "Stadt"],
-        "col2": [
-            selected_company["company_name"][0],
-            selected_company["company_street"][0],
-            str(
-                selected_company["company_zip_code"][0]
-                + " "
-                + selected_company["company_city"][0]
-            ),
-        ],
-        "col3": ["Branche", "Amtsgericht", "Gründungsjahr"],
-        "col4": [
-            selected_company["company_sector"][0],
-            selected_company["district_court_name"][0],
-            "xxx",
-        ],
-    }
-    df_company_data = pd.DataFrame(data=company_data)
+    company_df = get_company_data(session)
+    finance_df = get_finance_data(session)
+    options = company_df["company_name"].to_dict()

    app = Dash(
        __name__, external_stylesheets=[dbc.icons.BOOTSTRAP]
    )  # use dbc for icons
-
-    kennzahlen_layout = html.Div(
-        [
-            dcc.Graph(
-                figure=financials_figure(
-                    finance_df, str(company), "annual_finance_statement_ebit"
-                )
-            )
-        ]
-    )
+    app.title = "Company Finance Data"

    app.layout = html.Div(
-        [
-            # title header of page
-            html.Div(
-                style={
-                    "backgroundColor": colors["raisin-black"],
-                    "border": "1px solid",
-                },
-                children=[
-                    html.I(
-                        className="bi bi-house-door-fill",
-                        style={
-                            "fontSize": 24,
-                            "paddingLeft": "10px",
-                            "color": "white",
-                            "display": "inline-block",
-                            "verticalAlign": "middle",
-                        },
-                    ),
-                    html.H1(
-                        children="Transparenzregister für Kapitalgesellschaften",
-                        style={
-                            "color": "white",
-                            "textAlign": "left",
-                            "margin": "0",
-                            "paddingLeft": "10px",
-                            "paddingBottom": "20px",
-                            "paddingTop": "20px",
-                            "display": "inline-block",
-                            "verticalAlign": "middle",
-                        },
-                    ),
-                    html.Div(
-                        dcc.Dropdown(
-                            id="select_company",
-                            placeholder="Suche nach Unternehmen oder Person",
-                        ),
-                        style={
-                            "float": "right",
-                            "width": "30%",
-                            "margin": "0",
-                            "paddingRight": "10px",
-                            "paddingBottom": "20px",
-                            "paddingTop": "20px",
-                            "display": "inline-block",
-                            "verticalAlign": "middle",
-                        },
-                    ),
-                ],
-            ),
-            # header company name
-            html.Div(
-                style={"backgroundColor": colors["paynes-gray"], "border": "1px solid"},
-                children=[
-                    html.H1(
-                        children=selected_company["company_name"][0],
-                        style={
-                            "color": "white",
-                            "fontSize": 30,
-                            "textAlign": "left",
-                            "margin": "0",
-                            "paddingLeft": "20px",
-                            "paddingBottom": "20px",
-                            "paddingTop": "20px",
-                        },
-                    )
-                ],
-            ),
-            html.Div(style={"height": "20px"}),
-            html.Div(style={"width": "2%", "display": "inline-block"}),
-            # table basic company information
-            html.Div(
-                style={
-                    "backgroundColor": colors["ash-gray"],
-                    "border": "1px solid",
-                    "border-radius": 10,
-                    "width": "45%",
-                    "height": "150px",
-                    "display": "inline-block",
-                    "vertical-align": "top",
-                },
-                children=[
-                    html.H5(
-                        children="Stammdaten",
-                        style={
-                            "color": colors["raisin-black"],
-                            "fontSize": 16,
-                            "textAlign": "center",
-                            "margin": "0",
-                            "paddingBottom": "10px",
-                            "paddingTop": "10px",
-                        },
-                    ),
-                    dash_table.DataTable(
-                        df_company_data.to_dict("records"),
-                        [{"name": i, "id": i} for i in df_company_data.columns],
-                        style_table={
-                            "width": "80%",
-                            "overflowX": "auto",
-                            "marginLeft": "auto",
-                            "marginRight": "auto",
-                            "paddingBottom": "20px",
-                            "color": colors["raisin-black"],
-                        },
-                        # hide header of table
-                        css=[
-                            {
-                                "selector": "tr:first-child",
-                                "rule": "display: none",
-                            },
-                        ],
-                        style_cell={"textAlign": "center"},
-                        style_cell_conditional=[
-                            {"if": {"column_id": c}, "fontWeight": "bold"}
-                            for c in ["col1", "col3"]
-                        ],
-                    ),
-                ],
-            ),
-            html.Div(style={"width": "2%", "display": "inline-block"}),
-            html.Div(
-                style={
-                    "backgroundColor": colors["ash-gray"],
-                    "border": "1px solid",
-                    "border-radius": 10,
-                    "width": "15%",
-                    "height": "150px",
-                    "display": "inline-block",
-                    "vertical-align": "top",
-                },
-                children=[
-                    html.H5(
-                        children="Stimmung",
-                        style={
-                            "color": colors["raisin-black"],
-                            "fontSize": 16,
-                            "textAlign": "center",
-                            "margin": "0",
-                            "paddingBottom": "10px",
-                            "paddingTop": "10px",
-                        },
-                    ),
-                ],
-            ),
-            html.Div(style={"width": "2%", "display": "inline-block"}),
-            html.Div(
-                style={
-                    "backgroundColor": colors["ash-gray"],
-                    "border": "1px solid",
-                    "border-radius": 10,
-                    "width": "15%",
-                    "height": "150px",
-                    "display": "inline-block",
-                    "vertical-align": "top",
-                },
-                children=[
-                    html.H5(
-                        children="Aktienkurs",
-                        style={
-                            "color": colors["raisin-black"],
-                            "fontSize": 16,
-                            "textAlign": "center",
-                            "margin": "0",
-                            "paddingBottom": "10px",
-                            "paddingTop": "10px",
-                        },
-                    ),
-                    html.H1(
-                        children=stock,
-                        style={
-                            "color": colors["raisin-black"],
-                            "textAlign": "center",
-                        },
-                    ),
-                ],
-            ),
-            html.Div(style={"width": "2%", "display": "inline-block"}),
-            html.Div(
-                style={
-                    "backgroundColor": colors["ash-gray"],
-                    "border": "1px solid",
-                    "border-radius": 10,
-                    "width": "15%",
-                    "height": "150px",
-                    "display": "inline-block",
-                    "vertical-align": "top",
-                },
-                children=[
-                    html.H5(
-                        children="Umsatz",
-                        style={
-                            "color": colors["raisin-black"],
-                            "fontSize": 16,
-                            "textAlign": "center",
-                            "margin": "0",
-                            "paddingBottom": "10px",
-                            "paddingTop": "10px",
-                        },
-                    ),
-                    html.H1(
-                        children=turnover,
-                        style={
-                            "color": colors["raisin-black"],
-                            "textAlign": "center",
-                        },
-                    ),
-                ],
-            ),
-            html.Div(style={"width": "2%", "display": "inline-block"}),
-            # ]),
-            html.Div(
-                style={
-                    "marginTop": "20px",
-                    "border": "1px solid",
-                },
-                children=[
-                    dcc.Tabs(
-                        id="tabs",
-                        value="tab-1",
-                        children=[
-                            dcc.Tab(
-                                label="Kennzahlen",
-                                value="tab-1",
-                                style=tab_style,
-                                selected_style=tab_selected_style,
-                                children=[kennzahlen_layout],
-                            ),
-                            dcc.Tab(
-                                label="Beteiligte Personen",
-                                value="tab-2",
-                                style=tab_style,
-                                selected_style=tab_selected_style,
-                            ),
-                            dcc.Tab(
-                                label="Stimmung",
-                                value="tab-3",
-                                style=tab_style,
-                                selected_style=tab_selected_style,
-                            ),
-                            dcc.Tab(
-                                label="Verflechtungen",
-                                value="tab-4",
-                                style=tab_style,
-                                selected_style=tab_selected_style,
-                            ),
-                        ],
-                    ),
-                    html.Div(id="tabs-example-content-1"),
-                ],
-            ),
-        ]
+        className="page_content",
+        children=[
+            create_header(options),
+            html.Div(id="id-company-header"),
+        ],
    )

    @callback(
        Output("select_company", "options"), Input("select_company", "search_value")
    )
    def update_options(search_value: str) -> list:
-        """Update page based on selected company."""
+        """Update dropdown options based on user input.
+
+        Args:
+            search_value: The input string in the dropdown field entered by the user.
+
+        Returns:
+            The available companies matching the input.
+        """
        if not search_value:
-            raise PreventUpdate
-        return [o for o in options if search_value in o["label"]]
+            return [{"label": o, "value": key} for key, o in options.items()]
+        return [
+            {"label": o, "value": key}
+            for key, o in options.items()
+            if search_value.upper() in o.upper()
+        ]
+
+    @callback(Output("id-company-header", "children"), Input("select_company", "value"))
+    def update_output(value_chosen: int) -> html:
+        """Update page based on chosen company.
+
+        Args:
+            value_chosen: Id of the selected company.
+
+        Returns:
+            The html divs of the company page.
+        """
+        label = options.get(value_chosen)
+        if not label:
+            return ""
+        selected_company = str(label)
+        selected_company_stats = company_df.loc[value_chosen]
+        selected_finance_df = finance_df.loc[finance_df["company_id"] == value_chosen]
+        return (
+            create_company_header(selected_company),
+            create_company_stats(selected_company_stats),
+            create_tabs(selected_finance_df),
+        )

    app.run_server(debug=True)
--- a/src/aki_prj23_transparenzregister/ui/ui_elements.py
+++ b/src/aki_prj23_transparenzregister/ui/ui_elements.py
@ -0,0 +1,331 @@
+"""Dash elements."""
+
+import pandas as pd
+import plotly.graph_objs as go
+from dash import dash_table, dcc, html
+from sqlalchemy.engine import Engine
+from sqlalchemy.orm import Session
+
+from aki_prj23_transparenzregister.utils.sql import entities
+
+COLORS = {
+    "light": "#edefef",
+    "lavender-blush": "#f3e8ee",
+    "ash-gray": "#bacdb0",
+    "cambridge-blue": "#729b79",
+    "paynes-gray": "#475b63",
+    "raisin-black": "#2e2c2f",
+}
+
+
+def get_company_data(session: Session) -> pd.DataFrame:
+    """Creates a session to the database and get's all available company data.
+
+    Args:
+        session: A session connecting to the database.
+
+    Returns:
+        A dataframe containing all available company data including the corresponding district court.
+    """
+    query_company = session.query(entities.Company, entities.DistrictCourt.name).join(
+        entities.DistrictCourt
+    )
+    engine = session.bind
+    if not isinstance(engine, Engine):
+        raise TypeError
+
+    return pd.read_sql(str(query_company), engine, index_col="company_id")
+
+
+def get_finance_data(session: Session) -> pd.DataFrame:
+    """Creates a session to the database and get's all available company data.
+
+    Args:
+        session: A session connecting to the database.
+
+    Returns:
+        A dataframe containing all financial data of all companies.
+    """
+    query_finance = session.query(
+        entities.AnnualFinanceStatement, entities.Company.name, entities.Company.id
+    ).join(entities.Company)
+
+    engine = session.bind
+    if not isinstance(engine, Engine):
+        raise TypeError
+
+    return pd.read_sql(str(query_finance), engine)
+
+
+def create_header(options: dict) -> html:
+    """Creates header for dashboard.
+
+    Args:
+        options: A dictionary with company names and ids for the dropdown.
+
+    Returns:
+        The html div to create the page's header including the name of the page and the search for companies.
+    """
+    return html.Div(
+        className="header-wrapper",
+        children=[
+            html.Div(
+                className="header-title",
+                children=[
+                    html.I(
+                        className="bi-house-door-fill",
+                    ),
+                    html.H1(
+                        className="header-title-text",
+                        children="Transparenzregister für Kapitalgesellschaften",
+                    ),
+                ],
+            ),
+            html.Div(
+                className="header-search",
+                children=[
+                    html.Div(
+                        className="header-search-dropdown",
+                        children=[
+                            dcc.Dropdown(
+                                id="select_company",
+                                options=[
+                                    {"label": o, "value": key}
+                                    for key, o in options.items()
+                                ],
+                                placeholder="Suche nach Unternehmen oder Person",
+                            ),
+                        ],
+                    ),
+                ],
+            ),
+        ],
+    )
+
+
+def create_company_header(selected_company_name: str) -> html:
+    """Create company header based on selected company.
+
+    Args:
+        selected_company_name: The company name that has been chosen in the dropdown.
+
+    Returns:
+        The html div to create the company header.
+    """
+    return html.Div(
+        className="company-header",
+        children=[
+            html.H1(
+                className="company-header-title",
+                id="id-company-header-title",
+                children=selected_company_name,
+            ),
+        ],
+    )
+
+
+def create_company_stats(selected_company_data: pd.Series) -> html:
+    """Create company stats.
+
+    Args:
+        selected_company_data: A series containing all company information of the selected company.
+
+    Returns:
+        The html div to create the company stats table and the three small widgets.
+    """
+    company_data = {
+        "col1": ["Unternehmen", "Straße", "Stadt"],
+        "col2": [
+            selected_company_data["company_name"],
+            selected_company_data["company_street"],
+            str(
+                selected_company_data["company_zip_code"]
+                + " "
+                + selected_company_data["company_city"]
+            ),
+        ],
+        "col3": ["Branche", "Amtsgericht", "Gründungsjahr"],
+        "col4": [
+            selected_company_data["company_sector"],
+            selected_company_data["district_court_name"],
+            "xxx",
+        ],
+    }
+    df_company_data = pd.DataFrame(data=company_data)
+    return html.Div(
+        className="stats-wrapper",
+        children=[
+            html.Div(
+                className="widget-large",
+                children=[
+                    html.H3(
+                        className="widget-title",
+                        children="Stammdaten",
+                    ),
+                    dash_table.DataTable(
+                        df_company_data.to_dict("records"),
+                        [{"name": i, "id": i} for i in df_company_data.columns],
+                        style_table={
+                            "width": "90%",
+                            "marginLeft": "auto",
+                            "marginRight": "auto",
+                            "paddingBottom": "20px",
+                            "color": COLORS["raisin-black"],
+                        },
+                        # hide header of table
+                        css=[
+                            {
+                                "selector": "tr:first-child",
+                                "rule": "display: none",
+                            },
+                        ],
+                        style_cell={"textAlign": "center"},
+                        style_cell_conditional=[
+                            {"if": {"column_id": c}, "fontWeight": "bold"}
+                            for c in ["col1", "col3"]
+                        ],
+                        style_data={
+                            "whiteSpace": "normal",
+                            "height": "auto",
+                        },
+                    ),
+                ],
+            ),
+            html.Div(
+                className="widget-small",
+                children=[
+                    html.H3(
+                        className="widget-title",
+                        children="Stimmung",
+                    ),
+                ],
+            ),
+            html.Div(
+                className="widget-small",
+                children=[
+                    html.H3(
+                        className="widget-title",
+                        children="Aktienkurs",
+                    ),
+                    html.H1(
+                        className="widget-content",
+                        children="123",
+                    ),
+                ],
+            ),
+            html.Div(
+                className="widget-small",
+                children=[
+                    html.H3(
+                        className="widget-title",
+                        children="Umsatz",
+                    ),
+                    html.H1(
+                        className="widget-content",
+                        children="1234",
+                    ),
+                ],
+            ),
+        ],
+    )
+
+
+def create_tabs(selected_finance_df: pd.DataFrame) -> html:
+    """Create tabs for more company information.
+
+    Args:
+        selected_company_id: Id of the chosen company in the dropdown.
+        selected_finance_df: A dataframe containing all available finance information of the companies.
+
+    Returns:
+        The html div to create the tabs of the company page.
+    """
+    return html.Div(
+        className="tabs",
+        children=[
+            dcc.Tabs(
+                id="tabs",
+                value="tab-1",
+                children=[
+                    dcc.Tab(
+                        label="Kennzahlen",
+                        value="tab-1",
+                        className="tab-style",
+                        selected_className="selected-tab-style",
+                        children=[kennzahlen_layout(selected_finance_df)],
+                    ),
+                    dcc.Tab(
+                        label="Beteiligte Personen",
+                        value="tab-2",
+                        className="tab-style",
+                        selected_className="selected-tab-style",
+                    ),
+                    dcc.Tab(
+                        label="Stimmung",
+                        value="tab-3",
+                        className="tab-style",
+                        selected_className="selected-tab-style",
+                    ),
+                    dcc.Tab(
+                        label="Verflechtungen",
+                        value="tab-4",
+                        className="tab-style",
+                        selected_className="selected-tab-style",
+                    ),
+                ],
+            ),
+            html.Div(id="tabs-example-content-1"),
+        ],
+    )
+
+
+def kennzahlen_layout(selected_finance_df: pd.DataFrame) -> html:
+    """Create metrics tab.
+
+    Args:
+        selected_company_id: Id of the chosen company in the dropdown.
+        selected_finance_df: A dataframe containing all available finance information of the companies.
+
+    Returns:
+        The html div to create the metrics tab of the company page.
+    """
+    return html.Div(
+        [
+            dcc.Graph(
+                figure=financials_figure(
+                    selected_finance_df, "annual_finance_statement_ebit"
+                )
+            )
+        ]
+    )
+
+
+def financials_figure(selected_finance_df: pd.DataFrame, metric: str) -> go.Figure:
+    """Creates plotly line chart for a specific company and a metric.
+
+    Args:
+        selected_finance_df: A dataframe containing all finance information of the selected company.
+        metric: The metric that should be visualized.
+
+    Returns:
+        A plotly figure showing the available metric data of the company.
+    """
+    # create figure
+    fig_line = go.Figure()
+    # add trace for company 1
+    fig_line.add_trace(
+        go.Scatter(
+            x=selected_finance_df["annual_finance_statement_date"],
+            y=selected_finance_df[metric],
+            line_color=COLORS["raisin-black"],
+            marker_color=COLORS["raisin-black"],
+        )
+    )
+    # set title and labels
+    fig_line.update_layout(
+        title=metric,
+        xaxis_title="Jahr",
+        yaxis_title="in Mio.€",
+        plot_bgcolor=COLORS["light"],
+    )
+    return fig_line
--- a/src/aki_prj23_transparenzregister/utils/data_transfer.py
+++ b/src/aki_prj23_transparenzregister/utils/data_transfer.py
@ -0,0 +1,444 @@
+"""This module contains the data transfer and refinement functionalities between staging and production DB."""
+import sys
+from datetime import date
+from typing import Any
+
+import sqlalchemy as sa
+from cachetools import LRUCache, cached
+from loguru import logger
+from sqlalchemy.orm import Session
+from tqdm import tqdm
+
+from aki_prj23_transparenzregister.config.config_providers import JsonFileConfigProvider
+from aki_prj23_transparenzregister.utils.enum_types import RelationTypeEnum
+from aki_prj23_transparenzregister.utils.mongo.company_mongo_service import (
+    CompanyMongoService,
+)
+from aki_prj23_transparenzregister.utils.mongo.connector import MongoConnector
+from aki_prj23_transparenzregister.utils.sql import entities
+from aki_prj23_transparenzregister.utils.sql.connector import (
+    get_session,
+    reset_all_tables,
+)
+from aki_prj23_transparenzregister.utils.string_tools import simplify_string
+
+
+class DataInvalidError(ValueError):
+    """This error is thrown if a db entry can't be parsed for the production db."""
+
+    def __init__(self, message: str) -> None:
+        """Argument of the error to be parsed along."""
+        super().__init__(message)
+
+
+def _refine_district_court_entry(name: str, city: str | None) -> tuple[str, str]:
+    """Refines the district court entry and tests for consistency.
+
+    Args:
+        name: The name of the court.
+        city: The city where the cort is placed.
+
+    Returns:
+        A tuple containing cort name and court city.
+    """
+    if not name:
+        raise DataInvalidError("There is no court name.")
+    if not name.startswith("Amtsgericht "):
+        raise DataInvalidError(
+            f"The name of the district court does not start correctly: {name}"
+        )
+    if not city or city not in name.split(" ", 1)[1]:
+        city = name.split(" ", 1)[1].strip()
+    return name, city
+
+
+def _read_district_court_id(name: str, city: str, db: Session) -> int | None:
+    """Reads a district court id for a company if the district court is registered.
+
+    Args:
+        name: The name of the court.
+        city: The name of the city where the court is placed.
+        db: A session to connect to an SQL db via SQLAlchemy.
+
+
+    Returns:
+        The district court id as an int if the district court is known.
+        Otherwise, returns None.
+    """
+    return (
+        db.query(entities.DistrictCourt.id)
+        .filter(entities.DistrictCourt.name == name)
+        .filter(entities.DistrictCourt.city == city)
+        .scalar()
+    )
+
+
+def _read_person_id(
+    name: str, surname: str, date_of_birth: date, db: Session
+) -> int | None:
+    """Reads a person id if the person is already registered.
+
+    Args:
+        name: The first name of the person.
+        surname: The last name of the person.
+        date_of_birth: The date the person was born.
+        db: A session to connect to an SQL db via SQLAlchemy.
+
+    Returns:
+        The district court id as an int if the district court is known.
+        Otherwise, returns None.
+    """
+    return (
+        db.query(entities.Person.id)
+        .filter(entities.Person.name == name)
+        .filter(entities.Person.surname == surname)
+        .filter(entities.Person.date_of_birth == date_of_birth)
+        .scalar()
+    )
+
+
+@cached(cache=LRUCache(maxsize=1000), key=lambda name, city, db: hash((name, city)))  # type: ignore
+def get_district_court_id(name: str, city: str | None, db: Session) -> int:
+    """Determines the id of a district court.
+
+    Determines the id of a district court and adds an entry to the table if no entry and id could be found.
+    A lru_cache is used to increase the speed of this application.
+
+    Args:
+        name: The name of the district court.
+        city: The name where the court is located.
+        db: A session to connect to an SQL db via SQLAlchemy.
+
+    Returns:
+        The id / privat key of a district court in the SQL-database.
+    """
+    name, city = _refine_district_court_entry(name, city)
+    court_id = _read_district_court_id(name, city, db)
+    if court_id is not None:
+        return court_id
+    court = entities.DistrictCourt(name=name, city=city)
+    db.add(court)
+    db.commit()
+    return court.id  # type: ignore
+
+
+@cached(cache=LRUCache(maxsize=2000), key=lambda name, surname, date_of_birth, db: hash((name, surname, date_of_birth)))  # type: ignore
+def get_person_id(
+    name: str, surname: str, date_of_birth: date | str | None, db: Session
+) -> int:
+    """Identifies the id of and court.
+
+    Identifies the id of a district court and adds an entry to the table if no entry and id could be found.
+    A lru_cache is used to increase the speed of this application.
+
+    Args:
+        name: The first name of the person.
+        surname: The last name of the person.
+        date_of_birth: The date the person was born.
+        db: A session to connect to an SQL db via SQLAlchemy.
+
+    Returns:
+        The id / privat key of a district court in the SQL-database.
+    """
+    if isinstance(date_of_birth, str) and date_of_birth:
+        date_of_birth = date.fromisoformat(date_of_birth)
+    if not name or not surname or not date_of_birth:
+        raise DataInvalidError(
+            f'At least one of the three values name: "{name}", surname: "{surname}" or date_of_birth: "{date_of_birth}" is empty.'
+        )
+    assert isinstance(date_of_birth, date)  # noqa: S101
+    person_id = _read_person_id(name, surname, date_of_birth, db)
+    if person_id is not None:
+        return person_id
+    person = entities.Person(name=name, surname=surname, date_of_birth=date_of_birth)
+    db.add(person)
+    db.commit()
+    return person.id  # type: ignore
+
+
+@cached(cache=LRUCache(maxsize=5000), key=lambda name, zip_code, city, db: hash((name, zip_code, city)))  # type: ignore
+def get_company_id(
+    name: str, zip_code: str | None, city: str | None, db: Session
+) -> int:
+    """Queries the id of a company.
+
+    Args:
+        name: The HR entry of the company.
+        zip_code: The zip code where the company can be found.
+        city: The city where the company is found in.
+        db: A session to connect to an SQL db via SQLAlchemy.
+
+    Returns:
+        The id / privat key of a company.
+    """
+    if not name:
+        raise DataInvalidError("The name must be given and contain at least one sign.")
+    zip_code = simplify_string(zip_code)
+    city = simplify_string(city)
+    company_id = (
+        db.query(entities.Company.id)
+        .filter(
+            sa.or_(entities.Company.zip_code == zip_code, entities.Company.city == city)
+        )
+        .filter(entities.Company.name == name)
+        .scalar()
+    )
+    if company_id is None and zip_code is None and city is None:
+        company_id = (
+            db.query(entities.Company.id)
+            .filter(entities.Company.name == name)
+            .scalar()  # todo ensure uniqueness
+        )
+    if company_id is None:
+        raise KeyError(f"No corresponding company could be found to {name}.")
+    return company_id
+
+
+@logger.catch(level="WARNING", reraise=True)
+def add_company(company: dict[str, Any], db: Session) -> None:
+    """Add a company with all its data found in the mongodb company entry.
+
+    Args:
+        company: The company to add.
+        db: A session to connect to an SQL db via SQLAlchemy.
+    """
+    court_id = get_district_court_id(**company["id"]["district_court"], db=db)
+    location = company["location"]
+    name = simplify_string(company.get("name"))
+    if not name:
+        raise DataInvalidError(
+            "The company name needs to be valid (not empty and not only whitespace)."
+        )
+    last_update: date | None = (
+        date.fromisoformat(company["last_update"]) if company["last_update"] else None
+    )
+    company_entry = entities.Company(
+        court_id=court_id,
+        hr=company["id"]["hr_number"].strip().replace("  ", " ").replace("  ", " "),
+        name=name,
+        city=simplify_string(location.get("city")),
+        zip_code=simplify_string(location.get("zip_code")),
+        street=simplify_string(location.get("street")),
+        last_update=last_update,
+    )
+    db.add(company_entry)
+    db.commit()
+    logger.debug(f"Added the company entry {company['name']} to the db.")
+
+
+def add_companies(companies: list[dict[str, Any]], db: Session) -> None:
+    """Adds a company to the database.
+
+    Args:
+        companies: The company to be added.
+        db: A session to connect to an SQL db via SQLAlchemy.
+    """
+    data_invalid, error_count = 0, 0
+    for company in tqdm(companies, desc="Companies added"):
+        try:
+            add_company(company, db)
+        except DataInvalidError:
+            data_invalid += 1
+        except Exception:
+            error_count += 1
+            db.rollback()
+    if error_count + data_invalid:
+        logger.warning(
+            f"When adding companies {error_count + data_invalid} problems occurred "
+            f"{data_invalid} where caused by invalid data."
+        )
+    else:
+        logger.info("When adding companies no problems occurred.")
+
+
+@logger.catch(level="WARNING", reraise=True)
+def add_relationship(
+    relationship: dict[str, Any], company_id: int, db: Session
+) -> None:
+    """Adds a relationship to a company.
+
+    Args:
+        relationship: The relationship and the relationship partner.
+        company_id: The company id the relations is rooted in.
+        db: A session to connect to an SQL db via SQLAlchemy.
+    """
+    relation_type = RelationTypeEnum.get_enum_from_name(relationship.get("role"))
+    relation: entities.CompanyRelation | entities.PersonRelation
+    if "date_of_birth" in relationship:
+        name = relationship["name"]
+        person_id = get_person_id(
+            name["firstname"],
+            name["lastname"],
+            relationship["date_of_birth"],
+            db,
+        )
+        relation = entities.PersonRelation(
+            person_id=person_id,
+            company_id=company_id,
+            relation=relation_type,
+        )
+    else:
+        relation_to: int = get_company_id(
+            relationship["description"],
+            relationship["location"]["zip_code"],
+            relationship["location"]["city"],
+            db=db,
+        )
+        if company_id == relation_to:
+            raise DataInvalidError(
+                "For a valid relation both parties can't be the same entity."
+            )
+        relation = entities.CompanyRelation(
+            company_id=company_id,
+            relation=relation_type,
+            company2_id=relation_to,
+        )
+    db.add(relation)
+    db.commit()
+
+
+def add_relationships(companies: list[dict[str, dict]], db: Session) -> None:
+    """Add a list of companies to the database.
+
+    Args:
+        companies: Companies to be added to the db.
+        db: A session to connect to an SQL db via SQLAlchemy.
+    """
+    total: int = sum(len(company.get("relationships", "")) for company in companies)
+    with tqdm(
+        total=total,
+        desc="Company connections added",
+    ) as pbar:
+        for company in companies:
+            relationships: list[dict[str, Any]] = company.get("relationships", "")  # type: ignore
+            if not relationships:
+                continue
+            try:
+                company_id: int = get_company_id(
+                    company["name"],  # type: ignore
+                    company["location"]["zip_code"],
+                    company["location"]["city"],
+                    db=db,
+                )
+            except Exception:
+                pbar.update(len(relationships))
+                db.rollback()
+                continue
+
+            for relationship in relationships:
+                try:
+                    add_relationship(relationship, company_id=company_id, db=db)
+                except Exception:
+                    db.rollback()
+                pbar.update()
+
+    logger.info("Company connections added.")
+
+
+# yearly_results
+def add_annual_report(company_id: int, year: int, report: dict, db: Session) -> None:
+    """Ads a annual financial report to the SQL database.
+
+    The added report is linked with the company.
+    # TODO add a link to the accountant.
+
+    Args:
+        company_id: The SQL id of the company.
+        year: The year of the result.
+        report: The result that was
+        db: A session to connect to an SQL db via SQLAlchemy.
+    """
+    if not report.get("auditors") and not report.get("financials"):
+        company = db.query(entities.Company).get(company_id)
+        if company is None:
+            raise KeyError(f"The company with the id {company_id} could not be found.")
+        logger.debug(f"No financial data found for {company.name} in the year {year}.")
+        return
+    db.add(
+        entities.AnnualFinanceStatement(
+            company_id=company_id,
+            date=date(year, 1, 1),
+            **report.get("financials", {}),  # TODO can we have a date?
+        ),
+    )
+    for auditor in report.get("auditors", ""):
+        pass
+        _ = auditor
+        # person_id = get_person_id(person.get("name")) # how to create a person relation?
+        # company relation?
+
+
+def add_annual_financial_reports(companies: list[dict], db: Session) -> None:
+    """Adds all the yearly results to the sql db.
+
+    Args:
+        companies: The companies datadump from the MongoDB.
+        db: A session to connect to an SQL db via SQLAlchemy.
+    """
+    total: int = sum(len(company.get("yearly_results", "")) for company in companies)
+    with tqdm(
+        total=total,
+        desc="Company connections added",
+    ) as pbar:
+        for company in companies:
+            yearly_results: dict[str, dict] = company.get("yearly_results", {})
+            if not yearly_results:
+                continue
+            try:
+                company_id: int = get_company_id(
+                    company["name"],
+                    company["location"]["zip_code"],
+                    company["location"]["city"],
+                    db=db,
+                )
+            except Exception:
+                logger.exception("The company could not be identified.")
+                pbar.update(len(yearly_results))
+                db.rollback()
+                raise
+            for year, report in yearly_results.items():
+                if not report:
+                    continue
+                try:
+                    year_int = int(year)
+                except ValueError:
+                    logger.warning(
+                        f"The company {company['name']} has a yearly result with an invalid year of \"{year}\".",
+                    )
+                    continue
+                add_annual_report(company_id, year_int, report, db=db)
+                pbar.update()
+    db.commit()
+    logger.info("Company connections added.")
+
+
+def transfer_data(db: Session | None = None) -> None:
+    """This functions transfers all the data from a production environment to a staging environment."""
+    logger.remove()
+    logger.add(
+        sys.stdout,
+        level="INFO",
+        catch=True,
+    )
+    logger.add("data-transfer.log", level="INFO", retention=5)
+
+    mongo_connector = MongoConnector(
+        JsonFileConfigProvider("./secrets.json").get_mongo_connection_string()
+    )
+    mongo_company = CompanyMongoService(mongo_connector)
+    companies: list[dict[str, Any]] = mongo_company.get_all()  # type: ignore
+    del mongo_company
+
+    if db is None:
+        db = get_session(JsonFileConfigProvider("./secrets.json"))
+
+    reset_all_tables(db)
+
+    add_companies(companies, db)
+    add_relationships(companies, db)
+    add_annual_financial_reports(companies, db)
+    db.close()
+
+
+if __name__ == "__main__":
+    transfer_data(get_session("sqlite:///local-test-data.db"))
--- a/src/aki_prj23_transparenzregister/utils/enum_types.py
+++ b/src/aki_prj23_transparenzregister/utils/enum_types.py
@ -0,0 +1,69 @@
+"""Collection of enumeration types for the whole project."""
+import enum
+
+
+class RelationTypeEnum(enum.IntEnum):
+    """RelationTypeEnum."""
+
+    GESCHAEFTSFUEHRER = enum.auto()
+    KOMMANDITIST = enum.auto()
+    VORSTAND = enum.auto()
+    PROKURIST = enum.auto()
+    LIQUIDATOR = enum.auto()
+    INHABER = enum.auto()
+    PERSOENLICH_HAFTENDER_GESELLSCHAFTER = enum.auto()
+    PARTNER = enum.auto()
+    DIREKTOR = enum.auto()
+
+    RECHTSNACHFOLGER = enum.auto()
+    ORGANISATION = enum.auto()
+
+    @staticmethod
+    def get_enum_from_name(relation_name: str | None) -> "RelationTypeEnum":
+        """Translates relation name into a RelationTypeEnum.
+
+        If no translation can be found a warning is given.
+
+        Args:
+            relation_name: The name of the relation to be translated.
+
+        Returns:
+            The identified translation or None if no translation can be found.
+        """
+        if relation_name is None:
+            raise ValueError("A relation type needs to be given.")
+        relation_name = (
+            relation_name.strip()
+            .replace("(in)", "")
+            .replace("(r)", "r")
+            .strip()
+            .lower()
+        )
+        name = {
+            "geschäftsführer": RelationTypeEnum.GESCHAEFTSFUEHRER,
+            "kommanditist": RelationTypeEnum.KOMMANDITIST,
+            "vorstand": RelationTypeEnum.VORSTAND,
+            "vorstandsvorsitzender": RelationTypeEnum.VORSTAND,
+            "prokurist": RelationTypeEnum.PROKURIST,
+            "liquidator": RelationTypeEnum.LIQUIDATOR,
+            "inhaber": RelationTypeEnum.INHABER,
+            "persönlich haftender gesellschafter": RelationTypeEnum.PERSOENLICH_HAFTENDER_GESELLSCHAFTER,
+            "organisation": RelationTypeEnum.ORGANISATION,
+            "partner": RelationTypeEnum.PARTNER,
+            "direktor": RelationTypeEnum.DIREKTOR,
+            "geschäftsführender direktor": RelationTypeEnum.DIREKTOR,
+            "mitglied des leitungsorgans": RelationTypeEnum.VORSTAND,
+            "rechtsnachfolger": RelationTypeEnum.RECHTSNACHFOLGER,
+        }.get(relation_name)
+        if name is not None:
+            return name
+        raise ValueError(f'Relation type "{relation_name}" is not yet implemented!')
+
+
+class SentimentTypeEnum(enum.Enum):
+    """SentimentTypeEnum."""
+
+    employee_voting = "employee_voting"
+    sustainability = "sustainability"
+    environmental_aspects = "environmental_aspects"
+    perception = "perception"
--- a/src/aki_prj23_transparenzregister/utils/enumy_types.py
+++ b/src/aki_prj23_transparenzregister/utils/enumy_types.py
@ -1,27 +0,0 @@
-"""Collection of enumeration types for the whole project."""
-import enum
-
-
-class RelationTypeEnum(enum.IntEnum):
-    """RelationTypeEnum."""
-
-    EXECUTIVE = enum.auto()
-    AUDITOR = enum.auto()
-    SUPERVISORY_BOARD = enum.auto()
-    MANAGING_DIRECTOR = enum.auto()
-    AUTHORIZED_REPRESENTATIVE = enum.auto()
-    FINAL_AUDITOR = enum.auto()
-
-    PARTICIPATES_WITH = enum.auto()
-    HAS_SHARES_OF = enum.auto()
-    IS_SUPPLIED_BY = enum.auto()
-    WORKS_WITH = enum.auto()
-
-
-class SentimentTypeEnum(enum.Enum):
-    """SentimentTypeEnum."""
-
-    employee_voting = "employee_voting"
-    sustainability = "sustainability"
-    environmental_aspects = "environmental_aspects"
-    perception = "perception"
--- a/src/aki_prj23_transparenzregister/utils/sql/connector.py
+++ b/src/aki_prj23_transparenzregister/utils/sql/connector.py
@ -1,11 +1,13 @@
 """Module containing connection utils for PostgreSQL DB."""
 import re

+import pandas as pd
 import sqlalchemy as sa
 from loguru import logger
 from sqlalchemy.engine import URL, Engine
 from sqlalchemy.orm import Session, declarative_base, sessionmaker
 from sqlalchemy.pool import SingletonThreadPool
+from tqdm import tqdm

 from aki_prj23_transparenzregister.config.config_providers import (
    ConfigProvider,
@ -81,6 +83,33 @@ def init_db(db: Session) -> None:
    Base.metadata.create_all(db.bind)


+def reset_all_tables(db: Session) -> None:
+    """Drops all SQL tables and recreates them."""
+    logger.info("Resetting all SQL tables.")
+    Base.metadata.drop_all(db.bind)
+    init_db(db)
+
+
+@logger.catch(reraise=True)
+def transfer_db(*, source: Session, destination: Session) -> None:
+    """Transfers the data from on db to another db.
+
+    Args:
+        source: A session to a source db data should be copied from.
+        destination: A session to a db where the data should be copied to.
+    """
+    reset_all_tables(destination)
+    init_db(destination)
+    sbind = source.bind
+    dbind = destination.bind
+    assert isinstance(sbind, Engine)  # noqa: S101
+    assert isinstance(dbind, Engine)  # noqa: S101
+    for table in tqdm(Base.metadata.sorted_tables):
+        pd.read_sql_table(str(table), sbind).to_sql(
+            str(table), dbind, if_exists="append", index=False
+        )
+
+
 if __name__ == "__main__":
    """Main flow creating tables"""
    init_db(get_session(JsonFileConfigProvider("./secrets.json")))
--- a/src/aki_prj23_transparenzregister/utils/sql/entities.py
+++ b/src/aki_prj23_transparenzregister/utils/sql/entities.py
@ -3,7 +3,7 @@ from datetime import datetime

 import sqlalchemy as sa

-from aki_prj23_transparenzregister.utils.enumy_types import (
+from aki_prj23_transparenzregister.utils.enum_types import (
    RelationTypeEnum,
    SentimentTypeEnum,
 )
@ -16,7 +16,6 @@ class DistrictCourt(Base):
    """DistrictCourt."""

    __tablename__ = "district_court"
-
    id = sa.Column(sa.Integer, primary_key=True, autoincrement=True)
    city = sa.Column(sa.String(100), nullable=False)
    name = sa.Column(sa.String(100), nullable=False, unique=True)
@ -54,6 +53,7 @@ class Person(Base):

    __tablename__ = "person"
    __table_args__ = (sa.UniqueConstraint("name", "surname", "date_of_birth"),)
+    # TODO add a constraint that asks for a minlength of 2 for name and surname

    id = sa.Column(sa.Integer, primary_key=True)
    name = sa.Column(sa.String(100), nullable=False)
@ -69,16 +69,25 @@ class AnnualFinanceStatement(Base):

    id = sa.Column(sa.Integer, primary_key=True)
    company_id = sa.Column(sa.Integer, sa.ForeignKey("company.id"))
-    date = sa.Column(sa.DateTime(timezone=True), nullable=False)
-    total_volume = sa.Column(sa.Float)
-    ebit = sa.Column(sa.Float)
-    ebitda = sa.Column(sa.Float)
-    ebit_margin = sa.Column(sa.Float)
-    total_balance = sa.Column(sa.Float)
-    equity = sa.Column(sa.Float)
-    debt = sa.Column(sa.Float)
-    return_on_equity = sa.Column(sa.Float)
-    capital_turnover_rate = sa.Column(sa.Float)
+    date = sa.Column(sa.Date, nullable=False)
+    total_volume = sa.Column(sa.Float, default="NaN")
+    ebit = sa.Column(sa.Float, default="NaN")
+    ebitda = sa.Column(sa.Float, default="NaN")
+    ebit_margin = sa.Column(sa.Float, default="NaN")
+    total_balance = sa.Column(sa.Float, default="NaN")
+    equity = sa.Column(sa.Float, default="NaN")
+    debt = sa.Column(sa.Float, default="NaN")
+    return_on_equity = sa.Column(sa.Float, default="NaN")
+    capital_turnover_rate = sa.Column(sa.Float, default="NaN")
+    current_liabilities = sa.Column(sa.Float, default="NaN")
+    dividends = sa.Column(sa.Float, default="NaN")
+    net_income = sa.Column(sa.Float, default="NaN")
+    assets = sa.Column(sa.Float, default="NaN")
+    long_term_debt = sa.Column(sa.Float, default="NaN")
+    short_term_debt = sa.Column(sa.Float, default="NaN")
+    revenue = sa.Column(sa.Float, default="NaN")
+    cash_flow = sa.Column(sa.Float, default="NaN")
+    current_assets = sa.Column(sa.Float, default="NaN")  # assets vs current assets
    # company: Mapped[Company] = relationship(Company)


--- a/src/aki_prj23_transparenzregister/utils/string_tools.py
+++ b/src/aki_prj23_transparenzregister/utils/string_tools.py
@ -0,0 +1,18 @@
+"""Contains functions fot string manipulation."""
+
+
+def simplify_string(string_to_simplify: str | None) -> str | None:
+    """Simplifies a string to None if no valid sting is found.
+
+    Args:
+        string_to_simplify: The string to simplify.
+
+    Returns:
+        The simplified string or None if the string was empty.
+    """
+    if string_to_simplify is not None:
+        if isinstance(string_to_simplify, str):
+            string_to_simplify = string_to_simplify.strip()
+        else:
+            raise TypeError("The string to simplify is not a string.")
+    return string_to_simplify if string_to_simplify else None
--- a/tests/apps/enrich_company_financials_test.py
+++ b/tests/apps/enrich_company_financials_test.py
@ -18,7 +18,8 @@ def test_import_enrich_company_financials() -> None:
@patch(
    "aki_prj23_transparenzregister.apps.enrich_company_financials.CompanyMongoService"
 )
-def test_work(mock_compnay_service: Mock, mock_bundesanzeiger: Mock) -> None:
+def test_work(mock_company_service: Mock, mock_bundesanzeiger: Mock) -> None:
+    """Tests the readout of the company financials."""
    mock_bundesanzeiger.return_value = pd.DataFrame(
        [
            {
@ -28,9 +29,8 @@ def test_work(mock_compnay_service: Mock, mock_bundesanzeiger: Mock) -> None:
            }
        ]
    )
-    # mock_compnay_service.add_yearly_resreturn_value
    enrich_company_financials.work(
        {"_id": "", "name": "ABC AG", "location": {"city": "Haltern am See"}},
-        mock_compnay_service,
+        mock_company_service,
    )
    assert enrich_company_financials
--- a/tests/config/config_providers_test.py
+++ b/tests/config/config_providers_test.py
@ -1,3 +1,4 @@
+"""Tests the config provers."""
 import json
 from unittest.mock import mock_open, patch

@ -10,11 +11,13 @@ from aki_prj23_transparenzregister.config.config_providers import (


 def test_json_provider_init_fail() -> None:
+    """Tests the file not found error if an unknown filepath is given for the JsonFileConfigProvider."""
    with pytest.raises(FileNotFoundError):
        JsonFileConfigProvider("file-that-does-not-exist")


 def test_json_provider_init_no_json() -> None:
+    """Tests if a non json file throws the correct error."""
    with patch("os.path.isfile") as mock_isfile, patch(
        "builtins.open", mock_open(read_data="fhdaofhdoas")
    ):
@ -24,6 +27,7 @@ def test_json_provider_init_no_json() -> None:


 def test_json_provider_init() -> None:
+    """Tests the JsonFileConfigProvider creation."""
    data = {"hello": "world"}
    input_data = json.dumps(data)
    with patch("os.path.isfile") as mock_isfile:
@ -34,6 +38,7 @@ def test_json_provider_init() -> None:


 def test_json_provider_get_postgres() -> None:
+    """Tests if the config provider can return the postgre config string."""
    data = {
        "postgres": {
            "username": "user",
@ -56,6 +61,7 @@ def test_json_provider_get_postgres() -> None:


 def test_json_provider_get_mongo() -> None:
+    """Tests the JsonConfigProvider for the mongo db."""
    data = {
        "mongo": {
            "username": "user",
--- a/tests/conftest.py
+++ b/tests/conftest.py
@ -0,0 +1,178 @@
+"""Global configurations and definitions for pytest."""
+import datetime
+import os
+from collections.abc import Generator
+from inspect import getmembers, isfunction
+from typing import Any
+
+import pytest
+from sqlalchemy.engine import Engine
+from sqlalchemy.orm import Session
+
+from aki_prj23_transparenzregister.utils import data_transfer
+from aki_prj23_transparenzregister.utils.sql import entities
+from aki_prj23_transparenzregister.utils.sql.connector import get_session, init_db
+
+
+@pytest.fixture(autouse=True)
+def _clear_caches() -> Generator[None, None, None]:
+    """A function that clears all caches after each test.
+
+    All the modules containing the cached functions need to be listed in the modules tuple.
+    """
+    yield
+    # https://stackoverflow.com/a/139198/11003343
+    modules = (data_transfer,)
+    functions = [
+        function
+        for module in modules
+        for name, function in getmembers(module, isfunction)
+        if function.__dict__.get("cache") is not None
+    ]
+    # https://cachetools.readthedocs.io/en/stable/?highlight=clear#memoizing-decorators
+    for function in functions:
+        function.cache.clear()  # type: ignore
+
+
+@pytest.fixture()
+def empty_db() -> Generator[Session, None, None]:
+    """Generates a db Session to a sql_lite db."""
+    if os.path.exists("test-db.db"):
+        os.remove("test-db.db")
+    db = get_session("sqlite:///test-db.db")
+    init_db(db)
+    yield db
+    db.close()
+    bind = db.bind
+    assert isinstance(bind, Engine)
+    bind.dispose()
+    os.remove("test-db.db")
+
+
+@pytest.fixture()
+def finance_statements() -> list[dict[str, Any]]:
+    """Creates a list of finance statements."""
+    return [
+        {
+            "id": 1,
+            "company_id": 1,
+            "date": datetime.date.fromisoformat("2023-01-01"),
+            "total_volume": 1000.0,
+            "ebit": 1000.0,
+            "ebitda": 1000.0,
+            "ebit_margin": 1000.0,
+            "total_balance": 1000.0,
+            "equity": 1000.0,
+            "debt": 1000.0,
+            "return_on_equity": 1000.0,
+            "capital_turnover_rate": 1000.0,
+            "current_liabilities": 1000.0,
+            "dividends": float("NaN"),
+            "net_income": float("NaN"),
+            "assets": 1000.0,
+            "long_term_debt": 1000.0,
+            "short_term_debt": 1000.0,
+            "revenue": 1000.0,
+            "cash_flow": 1000.0,
+            "current_assets": 1000.0,
+        },
+        {
+            "id": 2,
+            "company_id": 1,
+            "date": datetime.date.fromisoformat("2022-01-01"),
+            "total_volume": 1100.0,
+            "ebit": 1100.0,
+            "ebitda": 1100.0,
+            "ebit_margin": 1100.0,
+            "total_balance": 1100.0,
+            "equity": 1100.0,
+            "debt": 1100.0,
+            "return_on_equity": 1100.0,
+            "capital_turnover_rate": 1100.0,
+            "current_liabilities": 1100.0,
+            "dividends": float("NaN"),
+            "net_income": float("NaN"),
+            "assets": 1100.0,
+            "long_term_debt": 1100.0,
+            "short_term_debt": 1100.0,
+            "revenue": 1100.0,
+            "cash_flow": 1100.0,
+            "current_assets": 1100.0,
+        },
+    ]
+
+
+@pytest.fixture()
+def full_db(empty_db: Session, finance_statements: list[dict[str, Any]]) -> Session:
+    """Fills a db with some test data."""
+    empty_db.add_all(
+        [
+            entities.DistrictCourt(name="Amtsgericht Bochum", city="Bochum"),
+            entities.DistrictCourt(name="Amtsgericht Dortmund", city="Dortmund"),
+            entities.Person(
+                name="Max",
+                surname="Mustermann",
+                date_of_birth=datetime.date(2023, 1, 1),
+            ),
+            entities.Person(
+                name="Sabine",
+                surname="Mustermann",
+                date_of_birth=datetime.date(2023, 1, 1),
+            ),
+            entities.Person(
+                name="Some Firstname",
+                surname="Some Surname",
+                date_of_birth=datetime.date(2023, 1, 1),
+            ),
+            entities.Person(
+                name="Some Firstname",
+                surname="Some Surname",
+                date_of_birth=datetime.date(2023, 1, 2),
+            ),
+            entities.Person(
+                name="Other Firstname",
+                surname="Other Surname",
+                date_of_birth=datetime.date(2023, 1, 2),
+            ),
+        ]
+    )
+    empty_db.commit()
+    empty_db.add_all(
+        [
+            entities.Company(
+                hr="HRB 123",
+                court_id=2,
+                name="Some Company GmbH",
+                street="Sesamstr.",
+                zip_code="12345",
+                city="TV City",
+                last_update=datetime.date.fromisoformat("2023-01-01"),
+            ),
+            entities.Company(
+                hr="HRB 123",
+                court_id=1,
+                name="Other Company GmbH",
+                street="Sesamstr.",
+                zip_code="12345",
+                city="TV City",
+                last_update=datetime.date.fromisoformat("2023-01-01"),
+            ),
+            entities.Company(
+                hr="HRB 12",
+                court_id=2,
+                name="Third Company GmbH",
+                last_update=datetime.date.fromisoformat("2023-01-01"),
+            ),
+        ]
+    )
+    empty_db.commit()
+
+    empty_db.add_all(
+        [
+            entities.AnnualFinanceStatement(**finance_statement)
+            for finance_statement in finance_statements
+        ]
+    )
+    empty_db.commit()
+    # print(pd.read_sql_table("company", empty_db.bind).to_string())
+    return empty_db
--- a/tests/ui/ui_elements_test.py
+++ b/tests/ui/ui_elements_test.py
@ -0,0 +1,118 @@
+"""Tests for ui elements."""
+
+import pandas as pd
+from sqlalchemy.orm import Session
+
+from aki_prj23_transparenzregister.ui import ui_elements
+
+
+def test_import() -> None:
+    """Checks if an import co ui_elements can be made."""
+    assert ui_elements is not None
+
+
+def test_get_company_data(full_db: Session) -> None:
+    """Checks if data from the company and district court tables can be accessed."""
+    company_df = ui_elements.get_company_data(full_db)
+
+    test_data = pd.DataFrame(
+        {
+            "company_id": {0: 1, 1: 2, 2: 3},
+            "company_hr": {0: "HRB 123", 1: "HRB 123", 2: "HRB 12"},
+            "company_court_id": {0: 2, 1: 1, 2: 2},
+            "company_name": {
+                0: "Some Company GmbH",
+                1: "Other Company GmbH",
+                2: "Third Company GmbH",
+            },
+            "company_street": {0: "Sesamstr.", 1: "Sesamstr.", 2: None},
+            "company_zip_code": {0: "12345", 1: "12345", 2: None},
+            "company_city": {0: "TV City", 1: "TV City", 2: None},
+            "company_last_update": {
+                0: "2023-01-01",
+                1: "2023-01-01",
+                2: "2023-01-01",
+            },
+            "company_sector": {0: None, 1: None, 2: None},
+            "district_court_name": {
+                0: "Amtsgericht Dortmund",
+                1: "Amtsgericht Bochum",
+                2: "Amtsgericht Dortmund",
+            },
+        }
+    )
+    test_data = test_data.set_index("company_id")
+    pd.testing.assert_frame_equal(company_df, test_data)
+
+
+def test_get_finance_data(full_db: Session) -> None:
+    """Checks if data from the company and finance tables can be accessed."""
+    finance_df = ui_elements.get_finance_data(full_db)
+    test_data = pd.DataFrame(
+        {
+            "annual_finance_statement_id": {0: 1, 1: 2},
+            "annual_finance_statement_company_id": {0: 1, 1: 1},
+            "annual_finance_statement_date": {0: "2023-01-01", 1: "2022-01-01"},
+            "annual_finance_statement_total_volume": {0: 1000.0, 1: 1100.0},
+            "annual_finance_statement_ebit": {0: 1000.0, 1: 1100.0},
+            "annual_finance_statement_ebitda": {0: 1000.0, 1: 1100.0},
+            "annual_finance_statement_ebit_margin": {0: 1000.0, 1: 1100.0},
+            "annual_finance_statement_total_balance": {0: 1000.0, 1: 1100.0},
+            "annual_finance_statement_equity": {0: 1000.0, 1: 1100.0},
+            "annual_finance_statement_debt": {0: 1000.0, 1: 1100.0},
+            "annual_finance_statement_return_on_equity": {0: 1000.0, 1: 1100.0},
+            "annual_finance_statement_capital_turnover_rate": {0: 1000.0, 1: 1100.0},
+            "annual_finance_statement_current_liabilities": {0: 1000.0, 1: 1100.0},
+            "annual_finance_statement_dividends": {0: None, 1: None},
+            "annual_finance_statement_net_income": {0: None, 1: None},
+            "annual_finance_statement_assets": {0: 1000.0, 1: 1100.0},
+            "annual_finance_statement_long_term_debt": {0: 1000.0, 1: 1100.0},
+            "annual_finance_statement_short_term_debt": {0: 1000.0, 1: 1100.0},
+            "annual_finance_statement_revenue": {0: 1000.0, 1: 1100.0},
+            "annual_finance_statement_cash_flow": {0: 1000.0, 1: 1100.0},
+            "annual_finance_statement_current_assets": {0: 1000.0, 1: 1100.0},
+            "company_name": {0: "Some Company GmbH", 1: "Some Company GmbH"},
+            "company_id": {0: 1, 1: 1},
+        }
+    )
+    pd.testing.assert_frame_equal(finance_df, test_data)
+
+
+def test_create_header() -> None:
+    """Checks if the header can be created."""
+    options = {1: "a", 2: "b"}
+    ui_elements.create_header(options)
+
+
+def test_create_company_header() -> None:
+    """Checks if the company header can be created."""
+    selected_company = "Test GmbH"
+    ui_elements.create_company_header(selected_company)
+
+
+def test_create_company_stats(full_db: Session) -> None:
+    """Checks if the company widgets can be created."""
+    company_df = ui_elements.get_company_data(full_db)
+    value_chosen = 1
+    selected_company_stats = company_df.loc[value_chosen]
+    ui_elements.create_company_stats(selected_company_stats)
+
+
+def test_create_tabs(full_db: Session) -> None:
+    """Checks if the tabs of the company page can be created."""
+    selected_company_id = 1
+    finance_df = ui_elements.get_finance_data(full_db)
+    selected_finance_df = finance_df.loc[
+        finance_df["company_id"] == selected_company_id
+    ]
+    ui_elements.create_tabs(selected_finance_df)
+
+
+def test_kennzahlen_layout(full_db: Session) -> None:
+    """Checks if the financial metric layout of the company page can be created."""
+    selected_company_id = 1
+    finance_df = ui_elements.get_finance_data(full_db)
+    selected_finance_df = finance_df.loc[
+        finance_df["company_id"] == selected_company_id
+    ]
+    ui_elements.kennzahlen_layout(selected_finance_df)
--- a/tests/utils/data_extraction/bundesanzeiger_test.py
+++ b/tests/utils/data_extraction/bundesanzeiger_test.py
@ -1,3 +1,4 @@
+"""Tests if the bundesanzeiger can be accessed and read."""
 from unittest.mock import Mock, patch

 import pandas as pd
--- a/tests/utils/data_transfer_test.py
+++ b/tests/utils/data_transfer_test.py
--- a/tests/utils/enum_types_test.py
+++ b/tests/utils/enum_types_test.py
@ -0,0 +1,40 @@
+"""Tests for the enumeration types."""
+import pytest
+
+from aki_prj23_transparenzregister.utils import enum_types
+
+
+def test_import() -> None:
+    """Tests if enum_types can be imported."""
+    assert enum_types
+
+
+@pytest.mark.parametrize("relation_name", ["Vorstand", "Prokurist", "Direktor"])
+@pytest.mark.parametrize("changes", ["lower", "upper", None])
+def test_relation_type_enum_from_string(
+    relation_name: str, changes: str | None
+) -> None:
+    """Tests the transformation of a name to an enumeration type."""
+    if changes == "lower":
+        relation_name = relation_name.lower()
+    elif changes == "upper":
+        relation_name = relation_name.upper()
+
+    assert isinstance(
+        enum_types.RelationTypeEnum.get_enum_from_name(relation_name),
+        enum_types.RelationTypeEnum,
+    )
+
+
+@pytest.mark.parametrize("relation_name", ["does Not Exists", "Also not"])
+@pytest.mark.parametrize("changes", ["lower", "upper", None])
+def test_relation_type_enum_from_string_wrong(
+    relation_name: str, changes: str | None
+) -> None:
+    """Tests the transformation of a name to an enumeration type if no equivalent can be found."""
+    if changes == "lower":
+        relation_name = relation_name.lower()
+    elif changes == "upper":
+        relation_name = relation_name.upper()
+    with pytest.raises(ValueError, match='Relation type ".*" is not yet implemented!'):
+        enum_types.RelationTypeEnum.get_enum_from_name(relation_name)
--- a/tests/utils/mongo/mongo_test.py
+++ b/tests/utils/mongo/mongo_test.py
@ -1,3 +1,4 @@
+"""Tests for connecting to the mongodb."""
 from unittest.mock import patch

 from aki_prj23_transparenzregister.utils.mongo.connector import (
@ -7,21 +8,25 @@ from aki_prj23_transparenzregister.utils.mongo.connector import (


 def test_get_conn_string_no_credentials() -> None:
+    """Tests the mongo connection string generation."""
    conn = MongoConnection("localhost", "", 27017, None, None)
    assert conn.get_conn_string() == "mongodb://localhost:27017"


 def test_get_conn_string_no_port_but_credentials() -> None:
+    """Tests the mongo connection string generation."""
    conn = MongoConnection("localhost", "", None, "admin", "password")
    assert conn.get_conn_string() == "mongodb+srv://admin:password@localhost"


 def test_get_conn_simple() -> None:
+    """Tests the mongo connection string generation."""
    conn = MongoConnection("localhost", "", None, None, None)
    assert conn.get_conn_string() == "mongodb+srv://localhost"


 def test_mongo_connector() -> None:
+    """Tests the MongoConnector."""
    with patch("pymongo.MongoClient") as mock_mongo_client:
        expected_result = 42
        mock_mongo_client.return_value = {"db": expected_result}
--- a/tests/utils/mongo/news_mongo_service_test.py
+++ b/tests/utils/mongo/news_mongo_service_test.py
@ -1,3 +1,4 @@
+"""Tests for the mongo news service."""
 from unittest.mock import Mock, patch

 import pytest
@ -50,6 +51,7 @@ def test_init(mock_mongo_connector: Mock, mock_collection: Mock) -> None:


 def test_get_all(mock_mongo_connector: Mock, mock_collection: Mock) -> None:
+    """Tests the get_all function from the mongo connector."""
    mock_mongo_connector.database = {"news": mock_collection}
    service = MongoNewsService(mock_mongo_connector)

@ -60,6 +62,7 @@ def test_get_all(mock_mongo_connector: Mock, mock_collection: Mock) -> None:
 def test_get_by_id_with_result(
    mock_mongo_connector: Mock, mock_collection: Mock
 ) -> None:
+    """Tests the get_by_id_with_result function from the mongo connector."""
    mock_mongo_connector.database = {"news": mock_collection}
    service = MongoNewsService(mock_mongo_connector)

@ -72,6 +75,7 @@ def test_get_by_id_with_result(


 def test_get_by_id_no_result(mock_mongo_connector: Mock, mock_collection: Mock) -> None:
+    """Test if the mongo connector can get an object by id."""
    mock_mongo_connector.database = {"news": mock_collection}
    service = MongoNewsService(mock_mongo_connector)

@ -80,6 +84,7 @@ def test_get_by_id_no_result(mock_mongo_connector: Mock, mock_collection: Mock)


 def test_insert(mock_mongo_connector: Mock, mock_collection: Mock) -> None:
+    """Tests the insert function from the mongo connector."""
    mock_mongo_connector.database = {"news": mock_collection}
    service = MongoNewsService(mock_mongo_connector)

@ -92,6 +97,7 @@ def test_insert(mock_mongo_connector: Mock, mock_collection: Mock) -> None:


 def test_transform_ingoing() -> None:
+    """Tests the transform_ingoing function from the mongo connector."""
    news = News("42", None, None, None, None)  # type: ignore
    result = MongoEntryTransformer.transform_ingoing(news)
    assert result["_id"] == "42"
@ -99,6 +105,7 @@ def test_transform_ingoing() -> None:


 def test_transform_outgoing() -> None:
+    """Tests the transform_outgoing function from the mongo connector."""
    data = {
        "_id": "4711",
        "title": "Hello",
--- a/tests/utils/sql/connector_test.py
+++ b/tests/utils/sql/connector_test.py
@ -1,21 +1,27 @@
+"""Tests the sql connector."""
 import os.path
 from collections.abc import Generator
 from typing import Any
 from unittest.mock import Mock, patch

+import pandas as pd
 import pytest
 from sqlalchemy.engine import Engine
+from sqlalchemy.orm import Session

 from aki_prj23_transparenzregister.config.config_providers import JsonFileConfigProvider
 from aki_prj23_transparenzregister.config.config_template import PostgreConnectionString
 from aki_prj23_transparenzregister.utils.sql.connector import (
+    Base,
    get_pg_engine,
    get_session,
    init_db,
+    transfer_db,
 )


 def test_get_engine_pg() -> None:
+    """Tests the creation of a postgre engine."""
    conn_args = PostgreConnectionString("", "", "", "", 42)
    with patch(
        "aki_prj23_transparenzregister.utils.sql.connector.sa.create_engine"
@ -25,6 +31,36 @@ def test_get_engine_pg() -> None:
        assert get_pg_engine(conn_args) == result


+@pytest.fixture()
+def destination_db() -> Generator[Session, None, None]:
+    """Generates a db Session to a sqlite db to copy data to."""
+    if os.path.exists("secondary.db"):
+        os.remove("secondary.db")
+    db = get_session("sqlite:///secondary.db")
+    init_db(db)
+    yield db
+    db.close()
+    bind = db.bind
+    assert isinstance(bind, Engine)
+    bind.dispose()
+    os.remove("secondary.db")
+
+
+def test_transfer_db(full_db: Session, destination_db: Session) -> None:
+    """Tests if the data transfer between two sql tables works."""
+    transfer_db(source=full_db, destination=destination_db)
+    sbind = full_db.bind
+    dbind = destination_db.bind
+    assert isinstance(sbind, Engine)
+    assert isinstance(dbind, Engine)
+
+    for table in Base.metadata.sorted_tables:
+        pd.testing.assert_frame_equal(
+            pd.read_sql_table(str(table), dbind),
+            pd.read_sql_table(str(table), sbind),
+        )
+
+
@pytest.fixture()
 def delete_sqlite_table() -> Generator[str, None, None]:
    """Cleans a path before and deletes the table after a test.
--- a/tests/utils/sql/entities_test.py
+++ b/tests/utils/sql/entities_test.py
@ -1,4 +1,8 @@
-def test_import() -> None:
-    from aki_prj23_transparenzregister.utils.sql import entities
+"""Tests for the sql entities."""

+from aki_prj23_transparenzregister.utils.sql import entities
+
+
+def test_import() -> None:  #
+    """Tests if the entities can be imported."""
    assert entities
--- a/tests/utils/string_tools_test.py
+++ b/tests/utils/string_tools_test.py
@ -0,0 +1,35 @@
+"""Tests for the string tool module."""
+from typing import Any
+
+import pytest
+
+from aki_prj23_transparenzregister.utils import string_tools
+
+
+def test_import() -> None:
+    """Tests if the import is possible."""
+    assert string_tools
+
+
+@pytest.mark.parametrize(
+    ("value", "expected"),
+    [
+        ("None ", "None"),
+        (" ", None),
+        ("", None),
+        ("\t", None),
+        ("\n", None),
+        (" Some String ", "Some String"),
+        ("Some String", "Some String"),
+    ],
+)
+def test_simplify_string(value: str | None, expected: str | None) -> None:
+    """Tests the sting simplification."""
+    assert string_tools.simplify_string(value) == expected
+
+
+@pytest.mark.parametrize("value", [0, 0.1, True, ("1",), {}, set()])
+def test_simplify_string_type_error(value: Any) -> None:
+    """Tests if the type error is thrown when the value is the wrong type."""
+    with pytest.raises(TypeError):
+        assert string_tools.simplify_string(value)