claudi
caacb339dd
- Implement tests for basic and bearer authentication headers in `test_auth.py`. - Create tests for the `EasybillWebhookParser` in `test_webhooks.py`, covering JSON and form-encoded payloads, as well as a generic parse and acknowledgement method.
108 lines
5.4 KiB
Python
108 lines
5.4 KiB
Python
# coding: utf-8
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"""
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easybill REST API
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The first version of the easybill REST API. [CHANGELOG](https://api.easybill.de/rest/v1/CHANGELOG.md) ## Authentication You can choose between two available methods: `Basic Auth` or `Bearer Token`. In each HTTP request, one of the following HTTP headers is required: ``` # Basic Auth Authorization: Basic base64_encode('<email>:<api_key>') # Bearer Token Authorization: Bearer <api_key> ``` ## Limitations ### Request Limit * PLUS: 10 requests per minute * BUSINESS: 60 requests per minute If the limit is exceeded, you will receive the HTTP error: `429 Too Many Requests` ### Result Limit All result lists are limited to 100 by default. This limit can be increased by the query parameter `limit` to a maximum of 1000. ## Query filter Many list resources can be filtered. In `/documents` you can filter e.g. by number with `/documents?number=111028654`. If you want to filter multiple numbers, you can either enter them separated by commas `/documents?number=111028654,222006895` or as an array `/documents?number[]=111028654&number[]=222006895`. **Warning**: The maximum size of an HTTP request line in bytes is 4094. If this limit is exceeded, you will receive the HTTP error: `414 Request-URI Too Large` ### Escape commas in query You can escape commans in query `name=Patrick\\, Peter` if you submit the header `X-Easybill-Escape: true` in your request. ## Property login_id This is the login of your admin or employee account. ## Date and Date-Time format Please use the timezone `Europe/Berlin`. * **date** = *Y-m-d* = `2016-12-31` * **date-time** = *Y-m-d H:i:s* = `2016-12-31 03:13:37` Date or datetime can be `null` because the attributes have been added later and the entry is older.
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The version of the OpenAPI document: 1.96.0
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Generated by OpenAPI Generator (https://openapi-generator.tech)
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Do not edit the class manually.
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""" # noqa: E501
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from __future__ import annotations
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import pprint
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import re # noqa: F401
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import json
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from pydantic import BaseModel, ConfigDict, Field, StrictInt, StrictStr, field_validator
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from typing import Any, ClassVar, Dict, List, Optional
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from typing import Optional, Set
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from typing_extensions import Self
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from pydantic_core import to_jsonable_python
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class DiscountPosition(BaseModel):
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"""
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DiscountPosition
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""" # noqa: E501
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id: Optional[StrictInt] = None
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customer_id: StrictInt
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discount: Optional[StrictInt] = Field(default=None, description="The discount value depending on \"discount_type\". If not provided, inherits from customer when available")
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discount_type: Optional[StrictStr] = Field(default='PERCENT', description="AMOUNT subtracts the value in \"discount\" from the total<br/> QUANTITY subtracts the value in \"discount\" multiplied by quantity<br/> PERCENT uses the value in \"discount\" as a percentage<br/> FIX sets the value in \"discount\" as the new price. If not provided, inherits from customer when available")
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position_id: StrictInt
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__properties: ClassVar[List[str]] = ["id", "customer_id", "discount", "discount_type", "position_id"]
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@field_validator('discount_type')
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def discount_type_validate_enum(cls, value):
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"""Validates the enum"""
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if value is None:
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return value
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if value not in set(['AMOUNT', 'PERCENT', 'QUANTITY', 'FIX']):
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raise ValueError("must be one of enum values ('AMOUNT', 'PERCENT', 'QUANTITY', 'FIX')")
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return value
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model_config = ConfigDict(
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validate_by_name=True,
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validate_by_alias=True,
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validate_assignment=True,
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protected_namespaces=(),
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)
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def to_str(self) -> str:
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"""Returns the string representation of the model using alias"""
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return pprint.pformat(self.model_dump(by_alias=True))
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def to_json(self) -> str:
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"""Returns the JSON representation of the model using alias"""
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return json.dumps(to_jsonable_python(self.to_dict()))
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@classmethod
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def from_json(cls, json_str: str) -> Optional[Self]:
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"""Create an instance of DiscountPosition from a JSON string"""
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return cls.from_dict(json.loads(json_str))
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def to_dict(self) -> Dict[str, Any]:
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"""Return the dictionary representation of the model using alias.
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This has the following differences from calling pydantic's
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`self.model_dump(by_alias=True)`:
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* `None` is only added to the output dict for nullable fields that
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were set at model initialization. Other fields with value `None`
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are ignored.
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* OpenAPI `readOnly` fields are excluded.
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"""
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excluded_fields: Set[str] = set([
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"id",
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])
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_dict = self.model_dump(
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by_alias=True,
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exclude=excluded_fields,
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exclude_none=True,
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)
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return _dict
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@classmethod
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def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
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"""Create an instance of DiscountPosition from a dict"""
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if obj is None:
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return None
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if not isinstance(obj, dict):
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return cls.model_validate(obj)
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_obj = cls.model_validate({
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"id": obj.get("id"),
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"customer_id": obj.get("customer_id"),
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"discount": obj.get("discount"),
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"discount_type": obj.get("discount_type") if obj.get("discount_type") is not None else 'PERCENT',
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"position_id": obj.get("position_id")
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})
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return _obj
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