# coding: utf-8

"""
    Mixpeek API

    This is the Mixpeek API, providing access to various endpoints for data processing and retrieval.

    The version of the OpenAPI document: 1.3.0
    Contact: info@mixpeek.com
    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, Optional, Union
from typing_extensions import Annotated
from typing import Optional, Set
from typing_extensions import Self

class SessionStats(BaseModel):
    """
    Session usage statistics.  Tracked in MongoDB session document, updated on each message. Use this to display usage metrics in your UI.  Attributes:     total_messages: Total messages sent in session     total_tokens: Cumulative tokens used (for cost tracking)     total_tool_calls: Total tool invocations     avg_latency_ms: Average message latency in milliseconds  Example:     ```python     # Display in UI     stats = session_response.stats     print(f\"Messages: {stats.total_messages}\")     print(f\"Tokens used: {stats.total_tokens}\")     print(f\"Tool calls: {stats.total_tool_calls}\")     print(f\"Avg latency: {stats.avg_latency_ms:.0f}ms\")     ```
    """ # noqa: E501
    total_messages: Optional[Annotated[int, Field(strict=True, ge=0)]] = Field(default=0, description="Total messages sent in session")
    total_tokens: Optional[Annotated[int, Field(strict=True, ge=0)]] = Field(default=0, description="Cumulative tokens used (for cost tracking)")
    total_tool_calls: Optional[Annotated[int, Field(strict=True, ge=0)]] = Field(default=0, description="Total tool invocations")
    avg_latency_ms: Optional[Union[Annotated[float, Field(strict=True, ge=0.0)], Annotated[int, Field(strict=True, ge=0)]]] = Field(default=0.0, description="Average message latency in milliseconds")
    __properties: ClassVar[List[str]] = ["total_messages", "total_tokens", "total_tool_calls", "avg_latency_ms"]

    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 SessionStats 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,
        )
        return _dict

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

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

        _obj = cls.model_validate({
            "total_messages": obj.get("total_messages") if obj.get("total_messages") is not None else 0,
            "total_tokens": obj.get("total_tokens") if obj.get("total_tokens") is not None else 0,
            "total_tool_calls": obj.get("total_tool_calls") if obj.get("total_tool_calls") is not None else 0,
            "avg_latency_ms": obj.get("avg_latency_ms") if obj.get("avg_latency_ms") is not None else 0.0
        })
        return _obj


