# coding: utf-8

"""
    FactPulse REST API

     REST API for electronic invoicing in France: Factur-X, AFNOR PDP/PA, electronic signatures.  ## 🎯 Main Features  ### 📄 Factur-X Invoice Generation - **Formats**: XML only or PDF/A-3 with embedded XML - **Profiles**: MINIMUM, BASIC, EN16931, EXTENDED - **Standards**: EN 16931 (EU directive 2014/55), ISO 19005-3 (PDF/A-3), CII (UN/CEFACT) - **🆕 Simplified Format**: Generation from SIRET + auto-enrichment (Chorus Pro API + Business Search)  ### ✅ Validation and Compliance - **XML Validation**: Schematron (45 to 210+ rules depending on profile) - **PDF Validation**: PDF/A-3, Factur-X XMP metadata, electronic signatures - **VeraPDF**: Strict PDF/A validation (146+ ISO 19005-3 rules) - **Asynchronous Processing**: Celery support for heavy validations (VeraPDF)  ### 📡 AFNOR PDP/PA Integration (XP Z12-013) - **Flow Submission**: Send invoices to Partner Dematerialization Platforms - **Flow Search**: View submitted invoices - **Download**: Retrieve PDF/A-3 with XML - **Directory Service**: Company search (SIREN/SIRET) - **Multi-client**: Support for multiple PDP configs per user (stored credentials or zero-storage)  ### ✍️ PDF Electronic Signature - **Standards**: PAdES-B-B, PAdES-B-T (RFC 3161 timestamping), PAdES-B-LT (long-term archival) - **eIDAS Levels**: SES (self-signed), AdES (commercial CA), QES (QTSP) - **Validation**: Cryptographic integrity and certificate verification - **Certificate Generation**: Self-signed X.509 certificates for testing  ### 🔄 Asynchronous Processing - **Celery**: Asynchronous generation, validation and signing - **Polling**: Status tracking via `/tasks/{task_id}/status` - **No timeout**: Ideal for large files or heavy validations  ## 🔒 Authentication  All requests require a **JWT token** in the Authorization header: ``` Authorization: Bearer YOUR_JWT_TOKEN ```  ### How to obtain a JWT token?  #### 🔑 Method 1: `/api/token/` API (Recommended)  **URL:** `https://factpulse.fr/api/token/`  This method is **recommended** for integration in your applications and CI/CD workflows.  **Prerequisites:** Having set a password on your account  **For users registered via email/password:** - You already have a password, use it directly  **For users registered via OAuth (Google/GitHub):** - You must first set a password at: https://factpulse.fr/accounts/password/set/ - Once the password is created, you can use the API  **Request example:** ```bash curl -X POST https://factpulse.fr/api/token/ \\   -H \"Content-Type: application/json\" \\   -d '{     \"username\": \"your_email@example.com\",     \"password\": \"your_password\"   }' ```  **Optional `client_uid` parameter:**  To select credentials for a specific client (PA/PDP, Chorus Pro, signing certificates), add `client_uid`:  ```bash curl -X POST https://factpulse.fr/api/token/ \\   -H \"Content-Type: application/json\" \\   -d '{     \"username\": \"your_email@example.com\",     \"password\": \"your_password\",     \"client_uid\": \"550e8400-e29b-41d4-a716-446655440000\"   }' ```  The `client_uid` will be included in the JWT and allow the API to automatically use: - AFNOR/PDP credentials configured for this client - Chorus Pro credentials configured for this client - Electronic signature certificates configured for this client  **Response:** ```json {   \"access\": \"eyJ0eXAiOiJKV1QiLCJhbGc...\",  // Access token (validity: 30 min)   \"refresh\": \"eyJ0eXAiOiJKV1QiLCJhbGc...\"  // Refresh token (validity: 7 days) } ```  **Advantages:** - ✅ Full automation (CI/CD, scripts) - ✅ Programmatic token management - ✅ Refresh token support for automatic access renewal - ✅ Easy integration in any language/tool  #### 🖥️ Method 2: Dashboard Generation (Alternative)  **URL:** https://factpulse.fr/api/dashboard/  This method is suitable for quick tests or occasional use via the graphical interface.  **How it works:** - Log in to the dashboard - Use the \"Generate Test Token\" or \"Generate Production Token\" buttons - Works for **all** users (OAuth and email/password), without requiring a password  **Token types:** - **Test Token**: 24h validity, 1000 calls/day quota (free) - **Production Token**: 7 days validity, quota based on your plan  **Advantages:** - ✅ Quick for API testing - ✅ No password required - ✅ Simple visual interface  **Disadvantages:** - ❌ Requires manual action - ❌ No refresh token - ❌ Less suited for automation  ### 📚 Full Documentation  For more information on authentication and API usage: https://factpulse.fr/documentation-api/     

    The version of the OpenAPI document: 1.0.0
    Contact: contact@factpulse.fr
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501


from __future__ import annotations
import pprint
import re  # noqa: F401
import json

from pydantic import BaseModel, ConfigDict, Field
from typing import Any, ClassVar, Dict, List
from factpulse.models.rate1 import Rate1
from factpulse.models.taxableamount import Taxableamount
from factpulse.models.taxamount2 import Taxamount2
from typing import Optional, Set
from typing_extensions import Self

class TaxBreakdownInput(BaseModel):
    """
    VAT breakdown for a transaction or invoice.
    """ # noqa: E501
    rate: Rate1
    taxable_amount: Taxableamount = Field(alias="taxableAmount")
    tax_amount: Taxamount2 = Field(alias="taxAmount")
    __properties: ClassVar[List[str]] = ["rate", "taxableAmount", "taxAmount"]

    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
    )


    def to_str(self) -> str:
        """Returns the string representation of the model using alias"""
        return pprint.pformat(self.model_dump(by_alias=True))

    def to_json(self) -> str:
        """Returns the JSON representation of the model using alias"""
        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
        return json.dumps(self.to_dict())

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of TaxBreakdownInput from a JSON string"""
        return cls.from_dict(json.loads(json_str))

    def to_dict(self) -> Dict[str, Any]:
        """Return the dictionary representation of the model using alias.

        This has the following differences from calling pydantic's
        `self.model_dump(by_alias=True)`:

        * `None` is only added to the output dict for nullable fields that
          were set at model initialization. Other fields with value `None`
          are ignored.
        """
        excluded_fields: Set[str] = set([
        ])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        # override the default output from pydantic by calling `to_dict()` of rate
        if self.rate:
            _dict['rate'] = self.rate.to_dict()
        # override the default output from pydantic by calling `to_dict()` of taxable_amount
        if self.taxable_amount:
            _dict['taxableAmount'] = self.taxable_amount.to_dict()
        # override the default output from pydantic by calling `to_dict()` of tax_amount
        if self.tax_amount:
            _dict['taxAmount'] = self.tax_amount.to_dict()
        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of TaxBreakdownInput from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate({
            "rate": Rate1.from_dict(obj["rate"]) if obj.get("rate") is not None else None,
            "taxableAmount": Taxableamount.from_dict(obj["taxableAmount"]) if obj.get("taxableAmount") is not None else None,
            "taxAmount": Taxamount2.from_dict(obj["taxAmount"]) if obj.get("taxAmount") is not None else None
        })
        return _obj


