mirror of
https://github.com/fhswf/aki_prj23_transparenzregister.git
synced 2025-05-15 12:08:47 +02:00
Merge branch 'main' into feature/additional-stammdaten
This commit is contained in:
TrisNol
commit
77f08cd901
1
.github/workflows/documentation.yaml
vendored
1
.github/workflows/documentation.yaml
vendored
@ -5,6 +5,7 @@ on:
|
||||
branches:
|
||||
- main
|
||||
pull_request:
|
||||
types: [opened, reopened, synchronize]
|
||||
|
||||
jobs:
|
||||
doc-build:
|
||||
|
||||
15
.github/workflows/lint-actions.yaml
vendored
15
.github/workflows/lint-actions.yaml
vendored
@ -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
|
||||
|
||||
9
.github/workflows/test-and-build-action.yaml
vendored
9
.github/workflows/test-and-build-action.yaml
vendored
@ -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
|
||||
|
||||
5
.gitignore
vendored
5
.gitignore
vendored
@ -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
|
||||
|
||||
@ -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
|
||||
|
||||
3
.vscode/settings.json
vendored
3
.vscode/settings.json
vendored
@ -1,3 +0,0 @@
|
||||
{
|
||||
"files.eol": "\n"
|
||||
}
|
||||
@ -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/)
|
||||
|
||||
17
README.md
17
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
|
||||
|
||||
@ -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 = "/"
|
||||
|
||||
716
poetry.lock
generated
716
poetry.lock
generated
@ -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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|
||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
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|
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|
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|
||||
]
|
||||
|
||||
[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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||||
{file = "cryptography-41.0.4-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:8ac4f9ead4bbd0bc8ab2d318f97d85147167a488be0e08814a37eb2f439d5cf6"},
|
||||
{file = "cryptography-41.0.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:047c4603aeb4bbd8db2756e38f5b8bd7e94318c047cfe4efeb5d715e08b49311"},
|
||||
{file = "cryptography-41.0.4.tar.gz", hash = "sha256:7febc3094125fc126a7f6fb1f420d0da639f3f32cb15c8ff0dc3997c4549f51a"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -1171,7 +1253,7 @@ lxml = "^4.6.3"
|
||||
mapbox-vector-tile = "^1.2.1"
|
||||
more-itertools = "^8.10.0"
|
||||
numpy = "^1.19.0"
|
||||
onnxruntime = "^1.10.0"
|
||||
onnxruntime = "1.15.1"
|
||||
pandas = "^2.0.3"
|
||||
Pillow = "^10.0.0"
|
||||
protobuf = ">=3.0,<4.0"
|
||||
@ -1205,7 +1287,7 @@ weiterbildungssuche = ["de-weiterbildungssuche (>=0.1.0,<0.2.0)"]
|
||||
type = "git"
|
||||
url = "https://github.com/TrisNol/deutschland.git"
|
||||
reference = "hotfix/python-3.11-support"
|
||||
resolved_reference = "507901b95cffa8dede08b69adab23dd8eda92d87"
|
||||
resolved_reference = "9e47ccc9736b9fb49c1dbe21cb9cd96f4845887b"
|
||||
|
||||
[[package]]
|
||||
name = "distlib"
|
||||
@ -1248,6 +1330,17 @@ files = [
|
||||
{file = "docutils-0.18.1.tar.gz", hash = "sha256:679987caf361a7539d76e584cbeddc311e3aee937877c87346f31debc63e9d06"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "et-xmlfile"
|
||||
version = "1.1.0"
|
||||
description = "An implementation of lxml.xmlfile for the standard library"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "et_xmlfile-1.1.0-py3-none-any.whl", hash = "sha256:a2ba85d1d6a74ef63837eed693bcb89c3f752169b0e3e7ae5b16ca5e1b3deada"},
|
||||
{file = "et_xmlfile-1.1.0.tar.gz", hash = "sha256:8eb9e2bc2f8c97e37a2dc85a09ecdcdec9d8a396530a6d5a33b30b9a92da0c5c"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "exceptiongroup"
|
||||
version = "1.1.3"
|
||||
@ -1578,13 +1671,13 @@ pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_ve
|
||||
|
||||
[[package]]
|
||||
name = "identify"
|
||||
version = "2.5.28"
|
||||
version = "2.5.29"
|
||||
description = "File identification library for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "identify-2.5.28-py2.py3-none-any.whl", hash = "sha256:87816de144bf46d161bd5b3e8f5596b16cade3b80be537087334b26bc5c177f3"},
|
||||
{file = "identify-2.5.28.tar.gz", hash = "sha256:94bb59643083ebd60dc996d043497479ee554381fbc5307763915cda49b0e78f"},
|
||||
{file = "identify-2.5.29-py2.py3-none-any.whl", hash = "sha256:24437fbf6f4d3fe6efd0eb9d67e24dd9106db99af5ceb27996a5f7895f24bf1b"},
|
||||
{file = "identify-2.5.29.tar.gz", hash = "sha256:d43d52b86b15918c137e3a74fff5224f60385cd0e9c38e99d07c257f02f151a5"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@ -1814,13 +1907,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "jsonschema"
|
||||
version = "4.19.0"
|
||||
version = "4.19.1"
|
||||
description = "An implementation of JSON Schema validation for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "jsonschema-4.19.0-py3-none-any.whl", hash = "sha256:043dc26a3845ff09d20e4420d6012a9c91c9aa8999fa184e7efcfeccb41e32cb"},
|
||||
{file = "jsonschema-4.19.0.tar.gz", hash = "sha256:6e1e7569ac13be8139b2dd2c21a55d350066ee3f80df06c608b398cdc6f30e8f"},
|
||||
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|
||||
{file = "jsonschema-4.19.1.tar.gz", hash = "sha256:ec84cc37cfa703ef7cd4928db24f9cb31428a5d0fa77747b8b51a847458e0bbf"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -2037,13 +2130,13 @@ test = ["coverage", "jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-cov",
|
||||
|
||||
[[package]]
|
||||
name = "jupyterlab"
|
||||
version = "4.0.5"
|
||||
version = "4.0.6"
|
||||
description = "JupyterLab computational environment"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "jupyterlab-4.0.5-py3-none-any.whl", hash = "sha256:13b3a326e7b95d72746fe20dbe80ee1e71165d6905e01ceaf1320eb809cb1b47"},
|
||||
{file = "jupyterlab-4.0.5.tar.gz", hash = "sha256:de49deb75f9b9aec478ed04754cbefe9c5d22fd796a5783cdc65e212983d3611"},
|
||||
{file = "jupyterlab-4.0.6-py3-none-any.whl", hash = "sha256:7d9dacad1e3f30fe4d6d4efc97fda25fbb5012012b8f27cc03a2283abcdee708"},
|
||||
{file = "jupyterlab-4.0.6.tar.gz", hash = "sha256:6c43ae5a6a1fd2fdfafcb3454004958bde6da76331abb44cffc6f9e436b19ba1"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -2060,8 +2153,8 @@ tornado = ">=6.2.0"
|
||||
traitlets = "*"
|
||||
|
||||
[package.extras]
|
||||
dev = ["black[jupyter] (==23.3.0)", "build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.0.271)"]
|
||||
docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-tornasync", "sphinx (>=1.8)", "sphinx-copybutton"]
|
||||
dev = ["black[jupyter] (==23.7.0)", "build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.0.286)"]
|
||||
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||||
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|
||||
test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"]
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||||
|
||||
@ -2261,6 +2354,20 @@ win32-setctime = {version = ">=1.0.0", markers = "sys_platform == \"win32\""}
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[package.extras]
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|
||||
|
||||
[[package]]
|
||||
name = "loguru-mypy"
|
||||
version = "0.0.4"
|
||||
description = ""
|
||||
optional = false
|
||||
python-versions = ">=3.6.0"
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files = [
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[package.dependencies]
|
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typing-extensions = "*"
|
||||
|
||||
[[package]]
|
||||
name = "lxml"
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||||
version = "4.9.3"
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||||
@ -2470,58 +2577,39 @@ files = [
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[[package]]
|
||||
name = "matplotlib"
|
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version = "3.7.3"
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version = "3.8.0"
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description = "Python plotting package"
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optional = false
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||||
[package.dependencies]
|
||||
@ -2529,7 +2617,7 @@ contourpy = ">=1.0.1"
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||||
cycler = ">=0.10"
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||||
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|
||||
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||||
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|
||||
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||||
packaging = ">=20.0"
|
||||
pillow = ">=6.2.0"
|
||||
pyparsing = ">=2.3.1"
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||||
@ -2621,74 +2709,67 @@ tests = ["pytest (>=4.6)"]
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||||
|
||||
[[package]]
|
||||
name = "msgpack"
|
||||
version = "1.0.5"
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version = "1.0.6"
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description = "MessagePack serializer"
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optional = false
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[[package]]
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||||
@ -2874,13 +2955,13 @@ traitlets = ">=5"
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||||
|
||||
[[package]]
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||||
name = "nest-asyncio"
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||||
version = "1.5.7"
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||||
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[[package]]
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@ -2899,13 +2980,13 @@ setuptools = "*"
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[[package]]
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name = "notebook"
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[package.dependencies]
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@ -3012,6 +3093,20 @@ packaging = "*"
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[[package]]
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@ -3123,6 +3218,70 @@ sql-other = ["SQLAlchemy (>=1.4.36)"]
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[package.extras]
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[[package]]
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||||
[package.extras]
|
||||
@ -3324,13 +3481,13 @@ test = ["coverage[toml]", "pretend", "pytest", "pytest-cov"]
|
||||
|
||||
[[package]]
|
||||
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|
||||
version = "4.3.2"
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||||
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|
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description = "Dump the software license list of Python packages installed with pip."
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optional = false
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python-versions = "~=3.8"
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[package.dependencies]
|
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@ -3375,13 +3532,13 @@ test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-co
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||||
|
||||
[[package]]
|
||||
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||||
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|
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[package.dependencies]
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@ -4430,13 +4587,13 @@ files = [
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[[package]]
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[package.dependencies]
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@ -4568,28 +4725,28 @@ files = [
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[[package]]
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name = "ruff"
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|
||||
[[package]]
|
||||
@ -4674,23 +4831,23 @@ testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jar
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||||
|
||||
[[package]]
|
||||
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|
||||
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|
||||
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||||
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[package.dependencies]
|
||||
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|
||||
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]]
|
||||
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|
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@ -4884,6 +5041,24 @@ sphinx = ">=1.8"
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||||
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||||
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|
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[[package]]
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|
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|
||||
{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"
|
||||
|
||||
@ -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"
|
||||
|
||||
@ -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
|
||||
|
||||
@ -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)
|
||||
|
||||
@ -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;
|
||||
}
|
||||
58
src/aki_prj23_transparenzregister/ui/assets/header.css
Normal file
58
src/aki_prj23_transparenzregister/ui/assets/header.css
Normal file
@ -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;
|
||||
}
|
||||
23
src/aki_prj23_transparenzregister/ui/assets/tabs.css
Normal file
23
src/aki_prj23_transparenzregister/ui/assets/tabs.css
Normal file
@ -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;
|
||||
}
|
||||
@ -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)
|
||||
|
||||
331
src/aki_prj23_transparenzregister/ui/ui_elements.py
Normal file
331
src/aki_prj23_transparenzregister/ui/ui_elements.py
Normal file
@ -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
|
||||
444
src/aki_prj23_transparenzregister/utils/data_transfer.py
Normal file
444
src/aki_prj23_transparenzregister/utils/data_transfer.py
Normal file
@ -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"))
|
||||
69
src/aki_prj23_transparenzregister/utils/enum_types.py
Normal file
69
src/aki_prj23_transparenzregister/utils/enum_types.py
Normal file
@ -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"
|
||||
@ -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"
|
||||
@ -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")))
|
||||
|
||||
@ -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)
|
||||
|
||||
|
||||
|
||||
18
src/aki_prj23_transparenzregister/utils/string_tools.py
Normal file
18
src/aki_prj23_transparenzregister/utils/string_tools.py
Normal file
@ -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
|
||||
@ -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
|
||||
|
||||
@ -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",
|
||||
|
||||
178
tests/conftest.py
Normal file
178
tests/conftest.py
Normal file
@ -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
|
||||
118
tests/ui/ui_elements_test.py
Normal file
118
tests/ui/ui_elements_test.py
Normal file
@ -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)
|
||||
@ -1,3 +1,4 @@
|
||||
"""Tests if the bundesanzeiger can be accessed and read."""
|
||||
from unittest.mock import Mock, patch
|
||||
|
||||
import pandas as pd
|
||||
|
||||
1014
tests/utils/data_transfer_test.py
Normal file
1014
tests/utils/data_transfer_test.py
Normal file
File diff suppressed because it is too large
Load Diff
40
tests/utils/enum_types_test.py
Normal file
40
tests/utils/enum_types_test.py
Normal file
@ -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)
|
||||
@ -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}
|
||||
|
||||
@ -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",
|
||||
|
||||
@ -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.
|
||||
|
||||
@ -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
|
||||
|
||||
35
tests/utils/string_tools_test.py
Normal file
35
tests/utils/string_tools_test.py
Normal file
@ -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)
|
||||
Loading…
x
Reference in New Issue
Block a user