# 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://www.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://www.factpulse.fr/accounts/password/set/ - Once the password is created, you can use the API  **Request example:** ```bash curl -X POST https://www.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://www.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://www.factpulse.fr/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://www.factpulse.fr/documentation-api/     

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

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


from __future__ import annotations
from inspect import getfullargspec
import json
import pprint
import re  # noqa: F401
from pydantic import BaseModel, ConfigDict, Field, StrictStr, ValidationError, field_validator
from typing import Optional, Union
from typing_extensions import Annotated
from typing import Union, Any, List, Set, TYPE_CHECKING, Optional, Dict
from typing_extensions import Literal, Self
from pydantic import Field

MANUALRATE_ANY_OF_SCHEMAS = ["float", "str"]

class ManualRate(BaseModel):
    """
    Manual VAT rate value. (Accepte number, string ou integer)
    """

    # data type: float
    anyof_schema_1_validator: Optional[Union[Annotated[float, Field(strict=True, ge=0.0)], Annotated[int, Field(strict=True, ge=0)]]] = None
    # data type: str
    anyof_schema_2_validator: Optional[Annotated[str, Field(strict=True)]] = None
    if TYPE_CHECKING:
        actual_instance: Optional[Union[float, str]] = None
    else:
        actual_instance: Any = None
    any_of_schemas: Set[str] = { "float", "str" }

    model_config = {
        "validate_assignment": True,
        "protected_namespaces": (),
    }

    def __init__(self, *args, **kwargs) -> None:
        if args:
            if len(args) > 1:
                raise ValueError("If a position argument is used, only 1 is allowed to set `actual_instance`")
            if kwargs:
                raise ValueError("If a position argument is used, keyword arguments cannot be used.")
            super().__init__(actual_instance=args[0])
        else:
            super().__init__(**kwargs)

    @field_validator('actual_instance')
    def actual_instance_must_validate_anyof(cls, v):
        instance = ManualRate.model_construct()
        error_messages = []
        # validate data type: float
        try:
            instance.anyof_schema_1_validator = v
            return v
        except (ValidationError, ValueError) as e:
            error_messages.append(str(e))
        # validate data type: str
        try:
            instance.anyof_schema_2_validator = v
            return v
        except (ValidationError, ValueError) as e:
            error_messages.append(str(e))
        if error_messages:
            # no match
            raise ValueError("No match found when setting the actual_instance in ManualRate with anyOf schemas: float, str. Details: " + ", ".join(error_messages))
        else:
            return v

    @classmethod
    def from_dict(cls, obj: Dict[str, Any]) -> Self:
        return cls.from_json(json.dumps(obj))

    @classmethod
    def from_json(cls, json_str: str) -> Self:
        """Returns the object represented by the json string"""
        instance = cls.model_construct()
        error_messages = []
        # deserialize data into float
        try:
            # validation
            instance.anyof_schema_1_validator = json.loads(json_str)
            # assign value to actual_instance
            instance.actual_instance = instance.anyof_schema_1_validator
            return instance
        except (ValidationError, ValueError) as e:
            error_messages.append(str(e))
        # deserialize data into str
        try:
            # validation
            instance.anyof_schema_2_validator = json.loads(json_str)
            # assign value to actual_instance
            instance.actual_instance = instance.anyof_schema_2_validator
            return instance
        except (ValidationError, ValueError) as e:
            error_messages.append(str(e))

        if error_messages:
            # no match
            raise ValueError("No match found when deserializing the JSON string into ManualRate with anyOf schemas: float, str. Details: " + ", ".join(error_messages))
        else:
            return instance

    def to_json(self) -> str:
        """Returns the JSON representation of the actual instance"""
        if self.actual_instance is None:
            return "null"

        if hasattr(self.actual_instance, "to_json") and callable(self.actual_instance.to_json):
            return self.actual_instance.to_json()
        else:
            return json.dumps(self.actual_instance)

    def to_dict(self) -> Optional[Union[Dict[str, Any], float, str]]:
        """Returns the dict representation of the actual instance"""
        if self.actual_instance is None:
            return None

        if hasattr(self.actual_instance, "to_dict") and callable(self.actual_instance.to_dict):
            return self.actual_instance.to_dict()
        else:
            return self.actual_instance

    def to_str(self) -> str:
        """Returns the string representation of the actual instance"""
        return pprint.pformat(self.model_dump())


