# coding: utf-8

"""
HaploHub API

The HaploHub is a turnkey solution to securely store and interpret biomarkers, genetics, and 'omics data. Our customers use the HaploHub to:  * Store WGS, WES, low-pass, and array data with uniform REST interfaces to access variants  * Interpret genomic variants  * Generate risk scores for an individual  * Run the typical algorithms (phasing, imputation, etc.)  * Calculate 'biological age' or 'organ age' biomarkers  * Generate custom reports  The HaploHub platform is continually updated to remain at the forefront of scientific understanding.

The version of the OpenAPI document: 1.0
Generated by OpenAPI Generator (https://openapi-generator.tech)

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

from __future__ import annotations

import json
import pprint
import re  # noqa: F401
from datetime import datetime
from typing import Optional

from pydantic import BaseModel, Field, StrictInt, constr

from haplohub.models.id import Id


class FileSchema(BaseModel):
    """
    FileSchema
    """

    id: Id = Field(...)
    location: constr(strict=True, max_length=255) = Field(...)
    mime_type: Optional[constr(strict=True, max_length=255)] = None
    file_size: Optional[StrictInt] = None
    created: Optional[datetime] = None
    __properties = ["id", "location", "mime_type", "file_size", "created"]

    class Config:
        """Pydantic configuration"""

        allow_population_by_field_name = True
        validate_assignment = True

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

    def to_json(self) -> str:
        """Returns the JSON representation of the model using alias"""
        return json.dumps(self.to_dict())

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

    def to_dict(self):
        """Returns the dictionary representation of the model using alias"""
        _dict = self.dict(by_alias=True, exclude={}, exclude_none=True)
        # override the default output from pydantic by calling `to_dict()` of id
        if self.id:
            _dict["id"] = self.id.to_dict()
        # set to None if mime_type (nullable) is None
        # and __fields_set__ contains the field
        if self.mime_type is None and "mime_type" in self.__fields_set__:
            _dict["mime_type"] = None

        # set to None if file_size (nullable) is None
        # and __fields_set__ contains the field
        if self.file_size is None and "file_size" in self.__fields_set__:
            _dict["file_size"] = None

        return _dict

    @classmethod
    def from_dict(cls, obj: dict) -> FileSchema:
        """Create an instance of FileSchema from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return FileSchema.parse_obj(obj)

        _obj = FileSchema.parse_obj(
            {
                "id": Id.from_dict(obj.get("id")) if obj.get("id") is not None else None,
                "location": obj.get("location"),
                "mime_type": obj.get("mime_type"),
                "file_size": obj.get("file_size"),
                "created": obj.get("created"),
            }
        )
        return _obj
