two version of R2R are here HEAD master

2 files changed, 534 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/hatchet_sdk/features/cron.py b/.venv/lib/python3.12/site-packages/hatchet_sdk/features/cron.py
new file mode 100644
index 00000000..c54e5b3b
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/hatchet_sdk/features/cron.py
@@ -0,0 +1,286 @@
+from typing import Union
+
+from pydantic import BaseModel, field_validator
+
+from hatchet_sdk.client import Client
+from hatchet_sdk.clients.rest.models.cron_workflows import CronWorkflows
+from hatchet_sdk.clients.rest.models.cron_workflows_list import CronWorkflowsList
+from hatchet_sdk.clients.rest.models.cron_workflows_order_by_field import (
+    CronWorkflowsOrderByField,
+)
+from hatchet_sdk.clients.rest.models.workflow_run_order_by_direction import (
+    WorkflowRunOrderByDirection,
+)
+
+
+class CreateCronTriggerInput(BaseModel):
+    """
+    Schema for creating a workflow run triggered by a cron.
+
+    Attributes:
+        expression (str): The cron expression defining the schedule.
+        input (dict): The input data for the cron workflow.
+        additional_metadata (dict[str, str]): Additional metadata associated with the cron trigger (e.g. {"key1": "value1", "key2": "value2"}).
+    """
+
+    expression: str = None
+    input: dict = {}
+    additional_metadata: dict[str, str] = {}
+
+    @field_validator("expression")
+    def validate_cron_expression(cls, v):
+        """
+        Validates the cron expression to ensure it adheres to the expected format.
+
+        Args:
+            v (str): The cron expression to validate.
+
+        Raises:
+            ValueError: If the expression is invalid.
+
+        Returns:
+            str: The validated cron expression.
+        """
+        if not v:
+            raise ValueError("Cron expression is required")
+
+        parts = v.split()
+        if len(parts) != 5:
+            raise ValueError(
+                "Cron expression must have 5 parts: minute hour day month weekday"
+            )
+
+        for part in parts:
+            if not (
+                part == "*"
+                or part.replace("*/", "").replace("-", "").replace(",", "").isdigit()
+            ):
+                raise ValueError(f"Invalid cron expression part: {part}")
+
+        return v
+
+
+class CronClient:
+    """
+    Client for managing workflow cron triggers synchronously.
+
+    Attributes:
+        _client (Client): The underlying client used to interact with the REST API.
+        aio (CronClientAsync): Asynchronous counterpart of CronClient.
+    """
+
+    _client: Client
+
+    def __init__(self, _client: Client):
+        """
+        Initializes the CronClient with a given Client instance.
+
+        Args:
+            _client (Client): The client instance to be used for REST interactions.
+        """
+        self._client = _client
+        self.aio = CronClientAsync(_client)
+
+    def create(
+        self,
+        workflow_name: str,
+        cron_name: str,
+        expression: str,
+        input: dict,
+        additional_metadata: dict[str, str],
+    ) -> CronWorkflows:
+        """
+        Creates a new workflow cron trigger.
+
+        Args:
+            workflow_name (str): The name of the workflow to trigger.
+            cron_name (str): The name of the cron trigger.
+            expression (str): The cron expression defining the schedule.
+            input (dict): The input data for the cron workflow.
+            additional_metadata (dict[str, str]): Additional metadata associated with the cron trigger (e.g. {"key1": "value1", "key2": "value2"}).
+
+        Returns:
+            CronWorkflows: The created cron workflow instance.
+        """
+        validated_input = CreateCronTriggerInput(
+            expression=expression, input=input, additional_metadata=additional_metadata
+        )
+
+        return self._client.rest.cron_create(
+            workflow_name,
+            cron_name,
+            validated_input.expression,
+            validated_input.input,
+            validated_input.additional_metadata,
+        )
+
+    def delete(self, cron_trigger: Union[str, CronWorkflows]) -> None:
+        """
+        Deletes a workflow cron trigger.
+
+        Args:
+            cron_trigger (Union[str, CronWorkflows]): The cron trigger ID or CronWorkflows instance to delete.
+        """
+        id_ = cron_trigger
+        if isinstance(cron_trigger, CronWorkflows):
+            id_ = cron_trigger.metadata.id
+        self._client.rest.cron_delete(id_)
+
+    def list(
+        self,
+        offset: int | None = None,
+        limit: int | None = None,
+        workflow_id: str | None = None,
+        additional_metadata: list[str] | None = None,
+        order_by_field: CronWorkflowsOrderByField | None = None,
+        order_by_direction: WorkflowRunOrderByDirection | None = None,
+    ) -> CronWorkflowsList:
+        """
+        Retrieves a list of all workflow cron triggers matching the criteria.
+
+        Args:
+            offset (int | None): The offset to start the list from.
+            limit (int | None): The maximum number of items to return.
+            workflow_id (str | None): The ID of the workflow to filter by.
+            additional_metadata (list[str] | None): Filter by additional metadata keys (e.g. ["key1:value1", "key2:value2"]).
+            order_by_field (CronWorkflowsOrderByField | None): The field to order the list by.
+            order_by_direction (WorkflowRunOrderByDirection | None): The direction to order the list by.
+
+        Returns:
+            CronWorkflowsList: A list of cron workflows.
+        """
+        return self._client.rest.cron_list(
+            offset=offset,
+            limit=limit,
+            workflow_id=workflow_id,
+            additional_metadata=additional_metadata,
+            order_by_field=order_by_field,
+            order_by_direction=order_by_direction,
+        )
+
+    def get(self, cron_trigger: Union[str, CronWorkflows]) -> CronWorkflows:
+        """
+        Retrieves a specific workflow cron trigger by ID.
+
+        Args:
+            cron_trigger (Union[str, CronWorkflows]): The cron trigger ID or CronWorkflows instance to retrieve.
+
+        Returns:
+            CronWorkflows: The requested cron workflow instance.
+        """
+        id_ = cron_trigger
+        if isinstance(cron_trigger, CronWorkflows):
+            id_ = cron_trigger.metadata.id
+        return self._client.rest.cron_get(id_)
+
+
+class CronClientAsync:
+    """
+    Asynchronous client for managing workflow cron triggers.
+
+    Attributes:
+        _client (Client): The underlying client used to interact with the REST API asynchronously.
+    """
+
+    _client: Client
+
+    def __init__(self, _client: Client):
+        """
+        Initializes the CronClientAsync with a given Client instance.
+
+        Args:
+            _client (Client): The client instance to be used for asynchronous REST interactions.
+        """
+        self._client = _client
+
+    async def create(
+        self,
+        workflow_name: str,
+        cron_name: str,
+        expression: str,
+        input: dict,
+        additional_metadata: dict[str, str],
+    ) -> CronWorkflows:
+        """
+        Asynchronously creates a new workflow cron trigger.
+
+        Args:
+            workflow_name (str): The name of the workflow to trigger.
+            cron_name (str): The name of the cron trigger.
+            expression (str): The cron expression defining the schedule.
+            input (dict): The input data for the cron workflow.
+            additional_metadata (dict[str, str]): Additional metadata associated with the cron trigger (e.g. {"key1": "value1", "key2": "value2"}).
+
+        Returns:
+            CronWorkflows: The created cron workflow instance.
+        """
+        validated_input = CreateCronTriggerInput(
+            expression=expression, input=input, additional_metadata=additional_metadata
+        )
+
+        return await self._client.rest.aio.cron_create(
+            workflow_name=workflow_name,
+            cron_name=cron_name,
+            expression=validated_input.expression,
+            input=validated_input.input,
+            additional_metadata=validated_input.additional_metadata,
+        )
+
+    async def delete(self, cron_trigger: Union[str, CronWorkflows]) -> None:
+        """
+        Asynchronously deletes a workflow cron trigger.
+
+        Args:
+            cron_trigger (Union[str, CronWorkflows]): The cron trigger ID or CronWorkflows instance to delete.
+        """
+        id_ = cron_trigger
+        if isinstance(cron_trigger, CronWorkflows):
+            id_ = cron_trigger.metadata.id
+        await self._client.rest.aio.cron_delete(id_)
+
+    async def list(
+        self,
+        offset: int | None = None,
+        limit: int | None = None,
+        workflow_id: str | None = None,
+        additional_metadata: list[str] | None = None,
+        order_by_field: CronWorkflowsOrderByField | None = None,
+        order_by_direction: WorkflowRunOrderByDirection | None = None,
+    ) -> CronWorkflowsList:
+        """
+        Asynchronously retrieves a list of all workflow cron triggers matching the criteria.
+
+        Args:
+            offset (int | None): The offset to start the list from.
+            limit (int | None): The maximum number of items to return.
+            workflow_id (str | None): The ID of the workflow to filter by.
+            additional_metadata (list[str] | None): Filter by additional metadata keys (e.g. ["key1:value1", "key2:value2"]).
+            order_by_field (CronWorkflowsOrderByField | None): The field to order the list by.
+            order_by_direction (WorkflowRunOrderByDirection | None): The direction to order the list by.
+
+        Returns:
+            CronWorkflowsList: A list of cron workflows.
+        """
+        return await self._client.rest.aio.cron_list(
+            offset=offset,
+            limit=limit,
+            workflow_id=workflow_id,
+            additional_metadata=additional_metadata,
+            order_by_field=order_by_field,
+            order_by_direction=order_by_direction,
+        )
+
+    async def get(self, cron_trigger: Union[str, CronWorkflows]) -> CronWorkflows:
+        """
+        Asynchronously retrieves a specific workflow cron trigger by ID.
+
+        Args:
+            cron_trigger (Union[str, CronWorkflows]): The cron trigger ID or CronWorkflows instance to retrieve.
+
+        Returns:
+            CronWorkflows: The requested cron workflow instance.
+        """
+        id_ = cron_trigger
+        if isinstance(cron_trigger, CronWorkflows):
+            id_ = cron_trigger.metadata.id
+        return await self._client.rest.aio.cron_get(id_)
diff --git a/.venv/lib/python3.12/site-packages/hatchet_sdk/features/scheduled.py b/.venv/lib/python3.12/site-packages/hatchet_sdk/features/scheduled.py
new file mode 100644
index 00000000..45af2609
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/hatchet_sdk/features/scheduled.py
@@ -0,0 +1,248 @@
+import datetime
+from typing import Any, Coroutine, Dict, List, Optional, Union
+
+from pydantic import BaseModel
+
+from hatchet_sdk.client import Client
+from hatchet_sdk.clients.rest.models.cron_workflows import CronWorkflows
+from hatchet_sdk.clients.rest.models.cron_workflows_order_by_field import (
+    CronWorkflowsOrderByField,
+)
+from hatchet_sdk.clients.rest.models.scheduled_workflows import ScheduledWorkflows
+from hatchet_sdk.clients.rest.models.scheduled_workflows_list import (
+    ScheduledWorkflowsList,
+)
+from hatchet_sdk.clients.rest.models.workflow_run_order_by_direction import (
+    WorkflowRunOrderByDirection,
+)
+
+
+class CreateScheduledTriggerInput(BaseModel):
+    """
+    Schema for creating a scheduled workflow run.
+
+    Attributes:
+        input (Dict[str, Any]): The input data for the scheduled workflow.
+        additional_metadata (Dict[str, str]): Additional metadata associated with the future run (e.g. ["key1:value1", "key2:value2"]).
+        trigger_at (Optional[datetime.datetime]): The datetime when the run should be triggered.
+    """
+
+    input: Dict[str, Any] = {}
+    additional_metadata: Dict[str, str] = {}
+    trigger_at: Optional[datetime.datetime] = None
+
+
+class ScheduledClient:
+    """
+    Client for managing scheduled workflows synchronously.
+
+    Attributes:
+        _client (Client): The underlying client used to interact with the REST API.
+        aio (ScheduledClientAsync): Asynchronous counterpart of ScheduledClient.
+    """
+
+    _client: Client
+
+    def __init__(self, _client: Client) -> None:
+        """
+        Initializes the ScheduledClient with a given Client instance.
+
+        Args:
+            _client (Client): The client instance to be used for REST interactions.
+        """
+        self._client = _client
+        self.aio: "ScheduledClientAsync" = ScheduledClientAsync(_client)
+
+    def create(
+        self,
+        workflow_name: str,
+        trigger_at: datetime.datetime,
+        input: Dict[str, Any],
+        additional_metadata: Dict[str, str],
+    ) -> ScheduledWorkflows:
+        """
+        Creates a new scheduled workflow run asynchronously.
+
+        Args:
+            workflow_name (str): The name of the scheduled workflow.
+            trigger_at (datetime.datetime): The datetime when the run should be triggered.
+            input (Dict[str, Any]): The input data for the scheduled workflow.
+            additional_metadata (Dict[str, str]): Additional metadata associated with the future run as a key-value pair (e.g. {"key1": "value1", "key2": "value2"}).
+
+        Returns:
+            ScheduledWorkflows: The created scheduled workflow instance.
+        """
+
+        validated_input = CreateScheduledTriggerInput(
+            trigger_at=trigger_at, input=input, additional_metadata=additional_metadata
+        )
+
+        return self._client.rest.schedule_create(
+            workflow_name,
+            validated_input.trigger_at,
+            validated_input.input,
+            validated_input.additional_metadata,
+        )
+
+    def delete(self, scheduled: Union[str, ScheduledWorkflows]) -> None:
+        """
+        Deletes a scheduled workflow run.
+
+        Args:
+            scheduled (Union[str, ScheduledWorkflows]): The scheduled workflow trigger ID or ScheduledWorkflows instance to delete.
+        """
+        id_ = scheduled
+        if isinstance(scheduled, ScheduledWorkflows):
+            id_ = scheduled.metadata.id
+        self._client.rest.schedule_delete(id_)
+
+    def list(
+        self,
+        offset: Optional[int] = None,
+        limit: Optional[int] = None,
+        workflow_id: Optional[str] = None,
+        additional_metadata: Optional[List[str]] = None,
+        order_by_field: Optional[CronWorkflowsOrderByField] = None,
+        order_by_direction: Optional[WorkflowRunOrderByDirection] = None,
+    ) -> ScheduledWorkflowsList:
+        """
+        Retrieves a list of scheduled workflows based on provided filters.
+
+        Args:
+            offset (Optional[int]): The starting point for the list.
+            limit (Optional[int]): The maximum number of items to return.
+            workflow_id (Optional[str]): Filter by specific workflow ID.
+            additional_metadata (Optional[List[str]]): Filter by additional metadata keys (e.g. ["key1:value1", "key2:value2"]).
+            order_by_field (Optional[CronWorkflowsOrderByField]): Field to order the results by.
+            order_by_direction (Optional[WorkflowRunOrderByDirection]): Direction to order the results.
+
+        Returns:
+            List[ScheduledWorkflows]: A list of scheduled workflows matching the criteria.
+        """
+        return self._client.rest.schedule_list(
+            offset=offset,
+            limit=limit,
+            workflow_id=workflow_id,
+            additional_metadata=additional_metadata,
+            order_by_field=order_by_field,
+            order_by_direction=order_by_direction,
+        )
+
+    def get(self, scheduled: Union[str, ScheduledWorkflows]) -> ScheduledWorkflows:
+        """
+        Retrieves a specific scheduled workflow by scheduled run trigger ID.
+
+        Args:
+            scheduled (Union[str, ScheduledWorkflows]): The scheduled workflow trigger ID or ScheduledWorkflows instance to retrieve.
+
+        Returns:
+            ScheduledWorkflows: The requested scheduled workflow instance.
+        """
+        id_ = scheduled
+        if isinstance(scheduled, ScheduledWorkflows):
+            id_ = scheduled.metadata.id
+        return self._client.rest.schedule_get(id_)
+
+
+class ScheduledClientAsync:
+    """
+    Asynchronous client for managing scheduled workflows.
+
+    Attributes:
+        _client (Client): The underlying client used to interact with the REST API asynchronously.
+    """
+
+    _client: Client
+
+    def __init__(self, _client: Client) -> None:
+        """
+        Initializes the ScheduledClientAsync with a given Client instance.
+
+        Args:
+            _client (Client): The client instance to be used for asynchronous REST interactions.
+        """
+        self._client = _client
+
+    async def create(
+        self,
+        workflow_name: str,
+        trigger_at: datetime.datetime,
+        input: Dict[str, Any],
+        additional_metadata: Dict[str, str],
+    ) -> ScheduledWorkflows:
+        """
+        Creates a new scheduled workflow run asynchronously.
+
+        Args:
+            workflow_name (str): The name of the scheduled workflow.
+            trigger_at (datetime.datetime): The datetime when the run should be triggered.
+            input (Dict[str, Any]): The input data for the scheduled workflow.
+            additional_metadata (Dict[str, str]): Additional metadata associated with the future run.
+
+        Returns:
+            ScheduledWorkflows: The created scheduled workflow instance.
+        """
+        return await self._client.rest.aio.schedule_create(
+            workflow_name, trigger_at, input, additional_metadata
+        )
+
+    async def delete(self, scheduled: Union[str, ScheduledWorkflows]) -> None:
+        """
+        Deletes a scheduled workflow asynchronously.
+
+        Args:
+            scheduled (Union[str, ScheduledWorkflows]): The scheduled workflow trigger ID or ScheduledWorkflows instance to delete.
+        """
+        id_ = scheduled
+        if isinstance(scheduled, ScheduledWorkflows):
+            id_ = scheduled.metadata.id
+        await self._client.rest.aio.schedule_delete(id_)
+
+    async def list(
+        self,
+        offset: Optional[int] = None,
+        limit: Optional[int] = None,
+        workflow_id: Optional[str] = None,
+        additional_metadata: Optional[List[str]] = None,
+        order_by_field: Optional[CronWorkflowsOrderByField] = None,
+        order_by_direction: Optional[WorkflowRunOrderByDirection] = None,
+    ) -> ScheduledWorkflowsList:
+        """
+        Retrieves a list of scheduled workflows based on provided filters asynchronously.
+
+        Args:
+            offset (Optional[int]): The starting point for the list.
+            limit (Optional[int]): The maximum number of items to return.
+            workflow_id (Optional[str]): Filter by specific workflow ID.
+            additional_metadata (Optional[List[str]]): Filter by additional metadata keys (e.g. ["key1:value1", "key2:value2"]).
+            order_by_field (Optional[CronWorkflowsOrderByField]): Field to order the results by.
+            order_by_direction (Optional[WorkflowRunOrderByDirection]): Direction to order the results.
+
+        Returns:
+            ScheduledWorkflowsList: A list of scheduled workflows matching the criteria.
+        """
+        return await self._client.rest.aio.schedule_list(
+            offset=offset,
+            limit=limit,
+            workflow_id=workflow_id,
+            additional_metadata=additional_metadata,
+            order_by_field=order_by_field,
+            order_by_direction=order_by_direction,
+        )
+
+    async def get(
+        self, scheduled: Union[str, ScheduledWorkflows]
+    ) -> ScheduledWorkflows:
+        """
+        Retrieves a specific scheduled workflow by scheduled run trigger ID asynchronously.
+
+        Args:
+            scheduled (Union[str, ScheduledWorkflows]): The scheduled workflow trigger ID or ScheduledWorkflows instance to retrieve.
+
+        Returns:
+            ScheduledWorkflows: The requested scheduled workflow instance.
+        """
+        id_ = scheduled
+        if isinstance(scheduled, ScheduledWorkflows):
+            id_ = scheduled.metadata.id
+        return await self._client.rest.aio.schedule_get(id_)