retrieval of sales prognosis data

This commit is contained in:
2025-02-26 15:45:02 +01:00
parent 0e7778e1f4
commit 96186110a6
2 changed files with 78 additions and 16 deletions

View File

@@ -5,7 +5,7 @@ from datetime import datetime as Datetime
from typing import Final, Never
import requests
from pydantic import BaseModel, PositiveInt
from pydantic import BaseModel, PositiveFloat, PositiveInt
from requests import Response
from delta_barth.constants import HTTP_CURRENT_CONNECTION, KnownApiErrorCodes
@@ -21,9 +21,13 @@ LOGIN_ERROR_CODES_KNOWN: Final[frozenset[int]] = frozenset((400, 401, 409, 500))
class DelBarApiError(BaseModel):
status_code: int
message: str
code: str | None
hints: str | None
message: str = ""
code: str | None = None
hints: str | None = None
type: str | None = None
title: str | None = None
errors: dict | None = None
traceId: str | None = None
def _raise_for_unknown_error(
@@ -35,7 +39,7 @@ def _raise_for_unknown_error(
)
def _assert_login() -> None:
def _assert_login_status() -> None:
if not HTTP_CURRENT_CONNECTION.logged_in:
raise ApiConnectionError("Curent session is not logged in")
@@ -102,13 +106,11 @@ def login(
resp = requests.put(
URL,
login_req.model_dump_json(),
headers=HTTP_CURRENT_CONNECTION.as_dict(), # type: ignore
headers=HTTP_CURRENT_CONNECTION.headers, # type: ignore
)
response: LoginResponse
if resp.status_code == 200:
# success
response = LoginResponse(**resp.json())
HTTP_CURRENT_CONNECTION.add_session_token(response.token)
elif resp.status_code in KnownApiErrorCodes.COMMON.value:
@@ -133,13 +135,11 @@ def logout(
resp = requests.put(
URL,
headers=HTTP_CURRENT_CONNECTION.as_dict(), # type: ignore
headers=HTTP_CURRENT_CONNECTION.headers, # type: ignore
)
response: LogoutResponse
if resp.status_code == 200:
# success
response = LogoutResponse()
HTTP_CURRENT_CONNECTION.remove_session_token()
elif resp.status_code in KnownApiErrorCodes.COMMON.value:
@@ -157,8 +157,42 @@ class SalesPrognosisRequest(BaseModel):
class SalesPrognosisResponseEntry(BaseModel):
artikelID: PositiveInt
artikelId: PositiveInt
firmaId: PositiveInt
betrag: PositiveInt
menge: PositiveInt
betrag: float # negative values are filtered out later
menge: float # reasons for negative values unknown
buchungsDatum: Datetime
class SalesPrognosisResponse(BaseModel):
daten: tuple[SalesPrognosisResponseEntry, ...]
error: DelBarApiError | None = None
def get_sales_prognosis_data(
base_url: str,
start_date: Datetime,
) -> SalesPrognosisResponse:
_assert_login_status()
ROUTE: Final[str] = "verkauf/umsatzprognosedaten"
URL: Final = combine_route(base_url, ROUTE)
sales_prog_req = SalesPrognosisRequest(
berechnungszeitpunkt=start_date,
)
resp = requests.get(
URL,
params=sales_prog_req.model_dump(mode="json"),
headers=HTTP_CURRENT_CONNECTION.headers, # type: ignore[argumentType]
)
response: SalesPrognosisResponse
if resp.status_code == 200:
response = SalesPrognosisResponse(**resp.json())
elif resp.status_code in KnownApiErrorCodes.COMMON.value: # pragma: no cover
err = DelBarApiError(status_code=resp.status_code, **resp.json())
response = SalesPrognosisResponse(daten=tuple(), error=err)
else: # pragma: no cover
_raise_for_unknown_error(resp)
return response