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authorS. Solomon Darnell2025-03-28 21:52:21 -0500
committerS. Solomon Darnell2025-03-28 21:52:21 -0500
commit4a52a71956a8d46fcb7294ac71734504bb09bcc2 (patch)
treeee3dc5af3b6313e921cd920906356f5d4febc4ed /.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/tenant_queue_metrics.py
parentcc961e04ba734dd72309fb548a2f97d67d578813 (diff)
downloadgn-ai-master.tar.gz
two version of R2R are here HEAD master
Diffstat (limited to '.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/tenant_queue_metrics.py')
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diff --git a/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/tenant_queue_metrics.py b/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/tenant_queue_metrics.py
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+++ b/.venv/lib/python3.12/site-packages/hatchet_sdk/clients/rest/models/tenant_queue_metrics.py
@@ -0,0 +1,116 @@
+# coding: utf-8
+
+"""
+    Hatchet API
+
+    The Hatchet 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
+
+import json
+import pprint
+import re  # noqa: F401
+from typing import Any, ClassVar, Dict, List, Optional, Set
+
+from pydantic import BaseModel, ConfigDict, Field, StrictInt
+from typing_extensions import Self
+
+from hatchet_sdk.clients.rest.models.queue_metrics import QueueMetrics
+
+
+class TenantQueueMetrics(BaseModel):
+    """
+    TenantQueueMetrics
+    """  # noqa: E501
+
+    total: Optional[QueueMetrics] = Field(
+        default=None, description="The total queue metrics."
+    )
+    workflow: Optional[Dict[str, QueueMetrics]] = None
+    queues: Optional[Dict[str, StrictInt]] = None
+    __properties: ClassVar[List[str]] = ["total", "workflow", "queues"]
+
+    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 TenantQueueMetrics 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 total
+        if self.total:
+            _dict["total"] = self.total.to_dict()
+        # override the default output from pydantic by calling `to_dict()` of each value in workflow (dict)
+        _field_dict = {}
+        if self.workflow:
+            for _key_workflow in self.workflow:
+                if self.workflow[_key_workflow]:
+                    _field_dict[_key_workflow] = self.workflow[_key_workflow].to_dict()
+            _dict["workflow"] = _field_dict
+        return _dict
+
+    @classmethod
+    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
+        """Create an instance of TenantQueueMetrics from a dict"""
+        if obj is None:
+            return None
+
+        if not isinstance(obj, dict):
+            return cls.model_validate(obj)
+
+        _obj = cls.model_validate(
+            {
+                "total": (
+                    QueueMetrics.from_dict(obj["total"])
+                    if obj.get("total") is not None
+                    else None
+                ),
+                "workflow": (
+                    dict(
+                        (_k, QueueMetrics.from_dict(_v))
+                        for _k, _v in obj["workflow"].items()
+                    )
+                    if obj.get("workflow") is not None
+                    else None
+                ),
+                "queues": obj.get("queues"),
+            }
+        )
+        return _obj