# 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, StrictInt, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from factpulse.models.afnor_search_siret_filters import AFNORSearchSiretFilters
from factpulse.models.afnor_search_siret_sorting_inner import AFNORSearchSiretSortingInner
from factpulse.models.afnor_siret_field import AFNORSiretField
from typing import Optional, Set
from typing_extensions import Self

class AFNORSearchSiret(BaseModel):
    """
    AFNORSearchSiret
    """ # noqa: E501
    filters: Optional[AFNORSearchSiretFilters] = None
    sorting: Optional[List[AFNORSearchSiretSortingInner]] = Field(default=None, description="Sorting criteria on a field and an order (ascending or descending).")
    fields: Optional[List[AFNORSiretField]] = Field(default=None, description="Allows you to filter the desired fields in the response.")
    include: Optional[List[StrictStr]] = None
    limit: Optional[StrictInt] = Field(default=None, description="Maximum number of results")
    ignore: Optional[StrictInt] = Field(default=None, description="Number of results to skip")
    __properties: ClassVar[List[str]] = ["filters", "sorting", "fields", "include", "limit", "ignore"]

    @field_validator('include')
    def include_validate_enum(cls, value):
        """Validates the enum"""
        if value is None:
            return value

        for i in value:
            if i not in set(['siren']):
                raise ValueError("each list item must be one of ('siren')")
        return value

    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 AFNORSearchSiret 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 filters
        if self.filters:
            _dict['filters'] = self.filters.to_dict()
        # override the default output from pydantic by calling `to_dict()` of each item in sorting (list)
        _items = []
        if self.sorting:
            for _item_sorting in self.sorting:
                if _item_sorting:
                    _items.append(_item_sorting.to_dict())
            _dict['sorting'] = _items
        return _dict

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

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

        _obj = cls.model_validate({
            "filters": AFNORSearchSiretFilters.from_dict(obj["filters"]) if obj.get("filters") is not None else None,
            "sorting": [AFNORSearchSiretSortingInner.from_dict(_item) for _item in obj["sorting"]] if obj.get("sorting") is not None else None,
            "fields": obj.get("fields"),
            "include": obj.get("include"),
            "limit": obj.get("limit"),
            "ignore": obj.get("ignore")
        })
        return _obj


