104 lines
3.1 KiB
Python
104 lines
3.1 KiB
Python
from __future__ import annotations
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import json
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import tomllib
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from pathlib import Path
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from typing import Any, cast
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import pandas as pd
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import pytest
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from delta_barth.api.requests import SalesPrognosisResponse
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@pytest.fixture(scope="session")
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def credentials() -> dict[str, str]:
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pwd = Path.cwd()
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assert "barth" in pwd.parent.name.lower(), "not in project root directory"
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creds_pth = pwd / "./CREDENTIALS.toml"
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assert creds_pth.exists(), "file to credentials data not found"
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with open(creds_pth, "rb") as file:
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cfg = tomllib.load(file)
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creds = cast(dict[str, str], cfg["delta-barth-server"]["api"])
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return creds
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@pytest.fixture(scope="session")
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def api_base_url(credentials) -> str:
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return credentials["base_url"]
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# TODO: maybe include in main package depending if needed in future
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# TODO check deletion
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# def _cvt_str_float(value: str) -> float:
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# import locale
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# locale.setlocale(locale.LC_NUMERIC, "de_DE.UTF-8")
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# return locale.atof(value)
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# def _cvt_str_ts(value: str) -> Any:
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# date = value.split("_")[0]
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# return pd.to_datetime(date, format="%Y%m%d", errors="coerce")
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# @pytest.fixture(scope="session")
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# def sales_data_db_export() -> pd.DataFrame:
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# pwd = Path.cwd()
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# assert "barth" in pwd.parent.name.lower(), "not in project root directory"
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# data_pth = pwd / "./tests/_test_data/swm_f_umsatz_fakt.csv"
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# assert data_pth.exists(), "file to sales data not found"
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# data = pd.read_csv(data_pth, sep="\t")
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# data["betrag"] = data["betrag"].apply(_cvt_str_float)
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# data["buchungs_datum"] = data["buchungs_datum"].apply(_cvt_str_ts)
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# data = data.dropna(
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# how="any",
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# subset=["firma_refid", "beleg_typ", "buchungs_datum", "betrag"],
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# ignore_index=True,
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# )
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# data["buchungs_datum"] = pd.to_datetime(data["buchungs_datum"])
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# return data
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@pytest.fixture(scope="session")
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def sales_data_real() -> pd.DataFrame:
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pwd = Path.cwd()
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assert "barth" in pwd.parent.name.lower(), "not in project root directory"
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data_pth = pwd / "./tests/_test_data/exmp_sales_prognosis_resp.json"
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assert data_pth.exists(), "file to API sales data not found"
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with open(data_pth, "r") as file:
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data = json.load(file)
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parsed = SalesPrognosisResponse(**data)
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data = parsed.model_dump()["daten"]
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return pd.DataFrame(data)
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@pytest.fixture(scope="session")
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def exmpl_api_sales_prognosis_resp() -> SalesPrognosisResponse:
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pwd = Path.cwd()
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assert "barth" in pwd.parent.name.lower(), "not in project root directory"
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data_pth = pwd / "./tests/_test_data/exmp_sales_prognosis_resp.json"
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assert data_pth.exists(), "file to API sales data not found"
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with open(data_pth, "r") as file:
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data = json.load(file)
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return SalesPrognosisResponse(**data)
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@pytest.fixture(scope="session")
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def exmpl_api_sales_prognosis_output() -> pd.DataFrame:
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pwd = Path.cwd()
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assert "barth" in pwd.parent.name.lower(), "not in project root directory"
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data_pth = pwd / "./tests/_test_data/exmp_sales_prognosis_output.pkl"
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assert data_pth.exists(), "file to API sales data not found"
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return pd.read_pickle(data_pth)
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