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54 get data from multiple tables postgres (#72)
Create first dash board including header, basic company information and finance plot --------- Co-authored-by: Philipp Horstenkamp <philipp@horstenkamp.de>
This commit is contained in:
KM-R
GitHub
37
documentations/meeting-notes/Meeting_2023-08-31.md
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37
documentations/meeting-notes/Meeting_2023-08-31.md
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@ -0,0 +1,37 @@
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# Weekly *9*: 17.08.2023
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## Teilnehmer
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- Prof. Arinir
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- Tristan Nolde
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- Philipp Horstenkamp
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- Sebastian Zeleny
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- Kim Mesewinkel-Risse (Protokoll)
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## Themen
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- Rückmeldung von Herrn Gawron bzgl. mehr Ressourcen steht noch aus, ggfs. persönliche Absprache nächste Woche möglich
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- Rückfrage von Herrn Arinir bezüglich Aufbau der Software und Architektur
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- Gerade werden einzelne Funktionen erstellt, Daten werden ungefiltert in die Mongo DB geschrieben, anschließend Bereinigung und Übertragung in die Postgres
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- Vorstellung aktueller Repo-Struktur durch Tristan, relevanter Code befindet sich im src-Ordner
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- Wie kann sichergestellt werden, dass unsere Ziele erreicht werden?
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- Zeitplan/Meilensteinplan gewünscht
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- Wann soll was erreicht werden?
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- Burndown-Diagramm
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-> Umsetzung durch Team beim Präsenzmeeting am 09.09.2023
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- Kurze Vorstellung der bearbeiteten Themen: NER + Sentiment (Sebastian), Finanzdaten (Tristan), UI (Kim), Datentransfer (Philipp)
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## Abgeleitete Action Items
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| Action Item | Verantwortlicher | Deadline |
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|-------------|------------------|-----------------|
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| Festlegung Zeitplan für Präsenztreffen | Alle | 07.09.2023 |
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| Zeitplan bzw. Meilensteinplan | Alle | nächstes Weekly |
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| Erstellen einer Übersicht aller bestehenden Services | Alle | nächstes Weekly |
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| Update bzgl. Cluster und Ressourcen | Herr Arinir | nächstes Weekly |
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| Finanzdaten finalisieren | Tristan | nächstes Weekly |
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| NER/Sentiment Aggregation | Sebastian | nächstes Weekly |
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| Füllen der UI mit Echtdaten | Kim | nächstes Weekly |
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| Teststruktur für SQL hinzufügen | Philipp | nächstes Weekly |
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20
poetry.lock
generated
20
poetry.lock
generated
@ -781,6 +781,24 @@ dev = ["PyYAML (>=5.4.1)", "coloredlogs (>=15.0.1)", "fire (>=0.4.0)"]
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|||||||
diskcache = ["diskcache (>=5.2.1)", "multiprocess (>=0.70.12)", "psutil (>=5.8.0)"]
|
diskcache = ["diskcache (>=5.2.1)", "multiprocess (>=0.70.12)", "psutil (>=5.8.0)"]
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||||||
testing = ["beautifulsoup4 (>=4.8.2)", "cryptography (<3.4)", "dash-testing-stub (>=0.0.2)", "lxml (>=4.6.2)", "multiprocess (>=0.70.12)", "percy (>=2.0.2)", "psutil (>=5.8.0)", "pytest (>=6.0.2)", "requests[security] (>=2.21.0)", "selenium (>=3.141.0,<=4.2.0)", "waitress (>=1.4.4)"]
|
testing = ["beautifulsoup4 (>=4.8.2)", "cryptography (<3.4)", "dash-testing-stub (>=0.0.2)", "lxml (>=4.6.2)", "multiprocess (>=0.70.12)", "percy (>=2.0.2)", "psutil (>=5.8.0)", "pytest (>=6.0.2)", "requests[security] (>=2.21.0)", "selenium (>=3.141.0,<=4.2.0)", "waitress (>=1.4.4)"]
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[[package]]
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|
name = "dash-bootstrap-components"
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|
version = "1.4.2"
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|
description = "Bootstrap themed components for use in Plotly Dash"
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|
category = "main"
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|
optional = false
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|
python-versions = ">=3.7, <4"
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|
files = [
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||||||
|
{file = "dash-bootstrap-components-1.4.2.tar.gz", hash = "sha256:b7514be30e229a1701db5010a47d275882a94d1efff4c803ac42a9d222ed86e0"},
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||||||
|
{file = "dash_bootstrap_components-1.4.2-py3-none-any.whl", hash = "sha256:4f59352a2f81cb0c41ae75dd3e0814f64049a4520f935397298e9a093ace727c"},
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]
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|
[package.dependencies]
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|
dash = ">=2.0.0"
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[package.extras]
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|
pandas = ["numpy", "pandas"]
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|
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[[package]]
|
[[package]]
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||||||
name = "dash-core-components"
|
name = "dash-core-components"
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||||||
version = "2.0.0"
|
version = "2.0.0"
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@ -4802,4 +4820,4 @@ h11 = ">=0.9.0,<1"
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[metadata]
|
[metadata]
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lock-version = "2.0"
|
lock-version = "2.0"
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||||||
python-versions = "^3.11"
|
python-versions = "^3.11"
|
||||||
content-hash = "946f6b81f3072e2a3d93482405f7bbe6f02218a3c2097c1f3f8246363c7e15c2"
|
content-hash = "d3b9d0efd28ad07060618d55c49a8ba6d3c716fa5caea7e35e6c5975a243e85e"
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@ -37,6 +37,7 @@ version = "0.1.0"
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[tool.poetry.dependencies]
|
[tool.poetry.dependencies]
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SQLAlchemy = {version = "^1.4.46", extras = ["mypy"]}
|
SQLAlchemy = {version = "^1.4.46", extras = ["mypy"]}
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dash = "^2.11.1"
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dash = "^2.11.1"
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dash-bootstrap-components = "^1.4.2"
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loguru = "^0.7.0"
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loguru = "^0.7.0"
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matplotlib = "^3.7.1"
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matplotlib = "^3.7.1"
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plotly = "^5.14.1"
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plotly = "^5.14.1"
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@ -0,0 +1,3 @@
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body {
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margin: 0;
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}
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392
src/aki_prj23_transparenzregister/ui/company_finance_dash.py
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392
src/aki_prj23_transparenzregister/ui/company_finance_dash.py
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@ -0,0 +1,392 @@
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"""Dash."""
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import dash_bootstrap_components as dbc
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import pandas as pd
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import plotly.graph_objs as go
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from dash import Dash, Input, Output, callback, dash_table, dcc, html
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from dash.exceptions import PreventUpdate
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from sqlalchemy.engine import Engine
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from aki_prj23_transparenzregister.utils.postgres import entities
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from aki_prj23_transparenzregister.utils.postgres.connector import (
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get_session,
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)
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if __name__ == "__main__":
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session = get_session()
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query_finance = session.query(
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entities.AnnualFinanceStatement, entities.Company.name, entities.Company.id
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).join(entities.Company)
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query_company = session.query(entities.Company, entities.DistrictCourt.name).join(
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entities.DistrictCourt
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)
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engine = session.bind
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if not isinstance(engine, Engine):
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raise TypeError
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finance_df: pd.DataFrame = pd.read_sql(str(query_finance), engine)
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company_df: pd.DataFrame = pd.read_sql(str(query_company), engine)
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select_company_df = company_df[["company_id", "company_name"]]
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select_company_dropdown = select_company_df.to_dict("records")
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options = [
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{"label": i["company_name"], "value": i["company_id"]}
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for i in select_company_dropdown
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]
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colors = {
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"light": "#edefef",
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"lavender-blush": "#f3e8ee",
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"ash-gray": "#bacdb0",
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"cambridge-blue": "#729b79",
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"paynes-gray": "#475b63",
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"raisin-black": "#2e2c2f",
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}
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def financials_figure(
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finance_df: pd.DataFrame, company: str, metric: str
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) -> go.Figure:
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"""Creates plotly line chart for a specific company and a metric."""
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finance_df = finance_df.loc[finance_df["company_name"] == company]
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# create figure
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fig_line = go.Figure()
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# add trace for company 1
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fig_line.add_trace(
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go.Scatter(
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x=finance_df["annual_finance_statement_date"],
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y=finance_df[metric],
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name=company,
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line_color=colors["raisin-black"],
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marker_color=colors["raisin-black"],
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)
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)
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# set title and labels
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fig_line.update_layout(
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title=metric,
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xaxis_title="Jahr",
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yaxis_title="in Mio.€",
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plot_bgcolor=colors["light"],
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)
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return fig_line
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tab_style = {
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"borderBottom": "1px solid #d6d6d6",
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"padding": "6px",
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"backgroundColor": "white",
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"color": colors["paynes-gray"],
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"fontWeight": "bold",
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}
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tab_selected_style = {
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"borderTop": "1px solid #d6d6d6",
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"borderBottom": "1px solid #d6d6d6",
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|
"padding": "6px",
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"backgroundColor": colors["paynes-gray"],
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|
"color": "white",
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"fontWeight": "bold",
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}
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# TBD: get data from database instead of mock data
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company = 1 # selected company id
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selected_company = company_df.loc[company_df["company_id"] == company]
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turnover = 123456
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stock = "1,23"
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company_data = {
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"col1": ["Unternehmen", "Straße", "Stadt"],
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"col2": [
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selected_company["company_name"][0],
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selected_company["company_street"][0],
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|
str(
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|
selected_company["company_zip_code"][0]
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|
+ " "
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+ selected_company["company_city"][0]
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|
),
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],
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"col3": ["Branche", "Amtsgericht", "Gründungsjahr"],
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"col4": [
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|
selected_company["company_sector"][0],
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|
selected_company["district_court_name"][0],
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|
"xxx",
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|
],
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|
}
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|
df_company_data = pd.DataFrame(data=company_data)
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|
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|
app = Dash(
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|
__name__, external_stylesheets=[dbc.icons.BOOTSTRAP]
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|
) # use dbc for icons
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|
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|
kennzahlen_layout = html.Div(
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|
[
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|
dcc.Graph(
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|
figure=financials_figure(
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|
finance_df, str(company), "annual_finance_statement_ebit"
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|
)
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|
)
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|
]
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|
)
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|
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|
app.layout = html.Div(
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|
[
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|
# title header of page
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|
html.Div(
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|
style={
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|
"backgroundColor": colors["raisin-black"],
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|
"border": "1px solid",
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|
},
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|
children=[
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|
html.I(
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|
className="bi bi-house-door-fill",
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|
style={
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|
"fontSize": 24,
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|
"paddingLeft": "10px",
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|
"color": "white",
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|
"display": "inline-block",
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|
"verticalAlign": "middle",
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|
},
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|
),
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|
html.H1(
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|
children="Transparenzregister für Kapitalgesellschaften",
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|
style={
|
||||||
|
"color": "white",
|
||||||
|
"textAlign": "left",
|
||||||
|
"margin": "0",
|
||||||
|
"paddingLeft": "10px",
|
||||||
|
"paddingBottom": "20px",
|
||||||
|
"paddingTop": "20px",
|
||||||
|
"display": "inline-block",
|
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|
"verticalAlign": "middle",
|
||||||
|
},
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|
),
|
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|
html.Div(
|
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|
dcc.Dropdown(
|
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|
id="select_company",
|
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|
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(
|
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|
style={"backgroundColor": colors["paynes-gray"], "border": "1px solid"},
|
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|
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"}),
|
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|
# table basic company information
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||||||
|
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"),
|
||||||
|
],
|
||||||
|
),
|
||||||
|
]
|
||||||
|
)
|
||||||
|
|
||||||
|
@callback(
|
||||||
|
Output("select_company", "options"), Input("select_company", "search_value")
|
||||||
|
)
|
||||||
|
def update_options(search_value: str) -> list:
|
||||||
|
"""Update page based on selected company."""
|
||||||
|
if not search_value:
|
||||||
|
raise PreventUpdate
|
||||||
|
return [o for o in options if search_value in o["label"]]
|
||||||
|
|
||||||
|
app.run_server(debug=True)
|
||||||
@ -28,22 +28,38 @@ class Company(Base):
|
|||||||
__tablename__ = "company"
|
__tablename__ = "company"
|
||||||
|
|
||||||
__table_args__ = (
|
__table_args__ = (
|
||||||
sa.PrimaryKeyConstraint("id"),
|
|
||||||
sa.UniqueConstraint("hr", "court_id"),
|
sa.UniqueConstraint("hr", "court_id"),
|
||||||
|
sa.UniqueConstraint("name", "city"),
|
||||||
|
sa.UniqueConstraint("name", "zip_code"),
|
||||||
|
sa.UniqueConstraint("name"),
|
||||||
)
|
)
|
||||||
|
|
||||||
id = sa.Column(sa.Integer, primary_key=True, autoincrement=True)
|
id = sa.Column(sa.Integer, primary_key=True, autoincrement=True)
|
||||||
hr = sa.Column(sa.Integer, nullable=False)
|
hr = sa.Column(sa.String, nullable=False)
|
||||||
court_id = sa.Column(
|
court_id = sa.Column(
|
||||||
sa.Integer,
|
sa.Integer,
|
||||||
sa.ForeignKey("district_court.id"),
|
sa.ForeignKey("district_court.id"),
|
||||||
nullable=False,
|
nullable=False,
|
||||||
)
|
)
|
||||||
|
name = sa.Column(sa.String(150), nullable=False)
|
||||||
|
street = sa.Column(sa.String(100), nullable=True)
|
||||||
|
zip_code = sa.Column(sa.String(5), nullable=True)
|
||||||
|
city = sa.Column(sa.String(100), nullable=True)
|
||||||
|
last_update = sa.Column(sa.Date, nullable=False)
|
||||||
|
sector = sa.Column(sa.String(100), nullable=True)
|
||||||
|
|
||||||
|
|
||||||
|
class Person(Base):
|
||||||
|
"""Person."""
|
||||||
|
|
||||||
|
__tablename__ = "person"
|
||||||
|
__table_args__ = (sa.UniqueConstraint("name", "surname", "date_of_birth"),)
|
||||||
|
|
||||||
|
id = sa.Column(sa.Integer, primary_key=True)
|
||||||
name = sa.Column(sa.String(100), nullable=False)
|
name = sa.Column(sa.String(100), nullable=False)
|
||||||
street = sa.Column(sa.String(100), nullable=False)
|
surname = sa.Column(sa.String(100), nullable=False)
|
||||||
zip_code = sa.Column(sa.String(5), nullable=False)
|
date_of_birth = sa.Column(sa.Date, nullable=False)
|
||||||
city = sa.Column(sa.String(100), nullable=False)
|
works_for = sa.Column(sa.String(100), nullable=True)
|
||||||
sector = sa.Column(sa.String(100), nullable=False)
|
|
||||||
|
|
||||||
|
|
||||||
class AnnualFinanceStatement(Base):
|
class AnnualFinanceStatement(Base):
|
||||||
@ -52,7 +68,7 @@ class AnnualFinanceStatement(Base):
|
|||||||
__tablename__ = "annual_finance_statement"
|
__tablename__ = "annual_finance_statement"
|
||||||
|
|
||||||
id = sa.Column(sa.Integer, primary_key=True)
|
id = sa.Column(sa.Integer, primary_key=True)
|
||||||
company_id = sa.Column(sa.String, sa.ForeignKey("company.id"))
|
company_id = sa.Column(sa.Integer, sa.ForeignKey("company.id"))
|
||||||
date = sa.Column(sa.DateTime(timezone=True), nullable=False)
|
date = sa.Column(sa.DateTime(timezone=True), nullable=False)
|
||||||
total_volume = sa.Column(sa.Float)
|
total_volume = sa.Column(sa.Float)
|
||||||
ebit = sa.Column(sa.Float)
|
ebit = sa.Column(sa.Float)
|
||||||
@ -63,7 +79,6 @@ class AnnualFinanceStatement(Base):
|
|||||||
debt = sa.Column(sa.Float)
|
debt = sa.Column(sa.Float)
|
||||||
return_on_equity = sa.Column(sa.Float)
|
return_on_equity = sa.Column(sa.Float)
|
||||||
capital_turnover_rate = sa.Column(sa.Float)
|
capital_turnover_rate = sa.Column(sa.Float)
|
||||||
|
|
||||||
# company: Mapped[Company] = relationship(Company)
|
# company: Mapped[Company] = relationship(Company)
|
||||||
|
|
||||||
|
|
||||||
@ -74,7 +89,7 @@ class Sentiment(Base):
|
|||||||
__tablename__ = "sentiment"
|
__tablename__ = "sentiment"
|
||||||
|
|
||||||
id = sa.Column(sa.Integer, primary_key=True)
|
id = sa.Column(sa.Integer, primary_key=True)
|
||||||
company_id = sa.Column(sa.String, sa.ForeignKey("company.id"))
|
company_id = sa.Column(sa.Integer, sa.ForeignKey("company.id"))
|
||||||
date = sa.Column(sa.DateTime(timezone=True), default=datetime.now)
|
date = sa.Column(sa.DateTime(timezone=True), default=datetime.now)
|
||||||
sentiment_type = sa.Column(
|
sentiment_type = sa.Column(
|
||||||
sa.Enum(SentimentTypeEnum),
|
sa.Enum(SentimentTypeEnum),
|
||||||
@ -82,20 +97,10 @@ class Sentiment(Base):
|
|||||||
)
|
)
|
||||||
value = sa.Column(sa.Float(), nullable=False)
|
value = sa.Column(sa.Float(), nullable=False)
|
||||||
source = sa.Column(sa.String(100))
|
source = sa.Column(sa.String(100))
|
||||||
|
|
||||||
# sentiment = relationship(Company)
|
# sentiment = relationship(Company)
|
||||||
|
|
||||||
|
|
||||||
# create person object
|
# create person object
|
||||||
class Person(Base):
|
|
||||||
"""Person."""
|
|
||||||
|
|
||||||
__tablename__ = "person"
|
|
||||||
|
|
||||||
id = sa.Column(sa.Integer, primary_key=True)
|
|
||||||
name = sa.Column(sa.String(100), nullable=False)
|
|
||||||
surname = sa.Column(sa.String(100), nullable=False)
|
|
||||||
works_for = sa.Column(sa.String(100))
|
|
||||||
|
|
||||||
|
|
||||||
class Relation(Base):
|
class Relation(Base):
|
||||||
@ -103,7 +108,7 @@ class Relation(Base):
|
|||||||
|
|
||||||
__tablename__ = "relation"
|
__tablename__ = "relation"
|
||||||
id = sa.Column(sa.Integer, primary_key=True)
|
id = sa.Column(sa.Integer, primary_key=True)
|
||||||
company_id = sa.Column(sa.String, sa.ForeignKey("company.id"))
|
company_id = sa.Column(sa.Integer, sa.ForeignKey("company.id"))
|
||||||
|
|
||||||
date_from = sa.Column(sa.DateTime(timezone=True), nullable=True)
|
date_from = sa.Column(sa.DateTime(timezone=True), nullable=True)
|
||||||
date_to = sa.Column(sa.DateTime(timezone=True), nullable=True)
|
date_to = sa.Column(sa.DateTime(timezone=True), nullable=True)
|
||||||
@ -133,8 +138,7 @@ class CompanyRelation(Relation):
|
|||||||
__tablename__ = "company_relation"
|
__tablename__ = "company_relation"
|
||||||
|
|
||||||
id = sa.Column(sa.Integer, sa.ForeignKey("relation.id"), primary_key=True)
|
id = sa.Column(sa.Integer, sa.ForeignKey("relation.id"), primary_key=True)
|
||||||
company2_id = sa.Column(sa.String, sa.ForeignKey("company.id"), nullable=False)
|
company2_id = sa.Column(sa.Integer, sa.ForeignKey("company.id"), nullable=False)
|
||||||
|
|
||||||
# company = relationship("Company")
|
# company = relationship("Company")
|
||||||
|
|
||||||
__table_args__ = {"extend_existing": True}
|
__table_args__ = {"extend_existing": True}
|
||||||
|
|||||||
7
tests/ui/company_finance_dash_test.py
Normal file
7
tests/ui/company_finance_dash_test.py
Normal file
@ -0,0 +1,7 @@
|
|||||||
|
"""Test for the company stats dashboard."""
|
||||||
|
from aki_prj23_transparenzregister.ui import company_finance_dash
|
||||||
|
|
||||||
|
|
||||||
|
def test_import() -> None:
|
||||||
|
"""Checks if an import co company_stats_dash can be made."""
|
||||||
|
assert company_finance_dash is not None
|
||||||
Reference in New Issue
Block a user