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# This file was auto-generated by Fern from our API Definition.
import typing
from ..core.client_wrapper import SyncClientWrapper
import datetime as dt
from ..requests.flow_kernel_request import FlowKernelRequestParams
from ..types.trace_status import TraceStatus
from ..core.request_options import RequestOptions
from ..types.create_flow_log_response import CreateFlowLogResponse
from ..core.serialization import convert_and_respect_annotation_metadata
from ..core.unchecked_base_model import construct_type
from ..errors.unprocessable_entity_error import UnprocessableEntityError
from ..types.http_validation_error import HttpValidationError
from json.decoder import JSONDecodeError
from ..core.api_error import ApiError
from ..types.flow_response import FlowResponse
from ..core.jsonable_encoder import jsonable_encoder
from ..types.project_sort_by import ProjectSortBy
from ..types.sort_order import SortOrder
from ..core.pagination import SyncPager
from ..types.paginated_data_flow_response import PaginatedDataFlowResponse
from ..types.flow_log_response import FlowLogResponse
from ..types.version_status import VersionStatus
from ..types.list_flows import ListFlows
from ..types.file_environment_response import FileEnvironmentResponse
from ..requests.evaluator_activation_deactivation_request_activate_item import (
EvaluatorActivationDeactivationRequestActivateItemParams,
)
from ..requests.evaluator_activation_deactivation_request_deactivate_item import (
EvaluatorActivationDeactivationRequestDeactivateItemParams,
)
from ..core.client_wrapper import AsyncClientWrapper
from ..core.pagination import AsyncPager
# this is used as the default value for optional parameters
OMIT = typing.cast(typing.Any, ...)
class FlowsClient:
def __init__(self, *, client_wrapper: SyncClientWrapper):
self._client_wrapper = client_wrapper
def log(
self,
*,
version_id: typing.Optional[str] = None,
environment: typing.Optional[str] = None,
run_id: typing.Optional[str] = OMIT,
path: typing.Optional[str] = OMIT,
id: typing.Optional[str] = OMIT,
start_time: typing.Optional[dt.datetime] = OMIT,
end_time: typing.Optional[dt.datetime] = OMIT,
output: typing.Optional[str] = OMIT,
created_at: typing.Optional[dt.datetime] = OMIT,
error: typing.Optional[str] = OMIT,
provider_latency: typing.Optional[float] = OMIT,
stdout: typing.Optional[str] = OMIT,
provider_request: typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] = OMIT,
provider_response: typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] = OMIT,
inputs: typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] = OMIT,
source: typing.Optional[str] = OMIT,
metadata: typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] = OMIT,
source_datapoint_id: typing.Optional[str] = OMIT,
trace_parent_id: typing.Optional[str] = OMIT,
user: typing.Optional[str] = OMIT,
flow_log_request_environment: typing.Optional[str] = OMIT,
save: typing.Optional[bool] = OMIT,
log_id: typing.Optional[str] = OMIT,
flow: typing.Optional[FlowKernelRequestParams] = OMIT,
trace_status: typing.Optional[TraceStatus] = OMIT,
request_options: typing.Optional[RequestOptions] = None,
) -> CreateFlowLogResponse:
"""
Log to a Flow.
You can use query parameters `version_id`, or `environment`, to target
an existing version of the Flow. Otherwise, the default deployed version will be chosen.
Parameters
----------
version_id : typing.Optional[str]
A specific Version ID of the Flow to log to.
environment : typing.Optional[str]
Name of the Environment identifying a deployed version to log to.
run_id : typing.Optional[str]
Unique identifier for the Run to associate the Log to.
path : typing.Optional[str]
Path of the Flow, including the name. This locates the Flow in the Humanloop filesystem and is used as as a unique identifier. For example: `folder/name` or just `name`.
id : typing.Optional[str]
ID for an existing Flow.
start_time : typing.Optional[dt.datetime]
The start time of the Trace. Will be updated if a child Log with an earlier start time is added.
end_time : typing.Optional[dt.datetime]
The end time of the Trace. Will be updated if a child Log with a later end time is added.
output : typing.Optional[str]
Generated output from your model for the provided inputs. Can be `None` if logging an error, or if creating a parent Log with the intention to populate it later.
created_at : typing.Optional[dt.datetime]
User defined timestamp for when the log was created.
error : typing.Optional[str]
Error message if the log is an error.
provider_latency : typing.Optional[float]
Duration of the logged event in seconds.
stdout : typing.Optional[str]
Captured log and debug statements.
provider_request : typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]]
Raw request sent to provider.
provider_response : typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]]
Raw response received the provider.
inputs : typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]]
The inputs passed to the prompt template.
source : typing.Optional[str]
Identifies where the model was called from.
metadata : typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]]
Any additional metadata to record.
source_datapoint_id : typing.Optional[str]
Unique identifier for the Datapoint that this Log is derived from. This can be used by Humanloop to associate Logs to Evaluations. If provided, Humanloop will automatically associate this Log to Evaluations that require a Log for this Datapoint-Version pair.
trace_parent_id : typing.Optional[str]
The ID of the parent Log to nest this Log under in a Trace.
user : typing.Optional[str]
End-user ID related to the Log.
flow_log_request_environment : typing.Optional[str]
The name of the Environment the Log is associated to.
save : typing.Optional[bool]
Whether the request/response payloads will be stored on Humanloop.
log_id : typing.Optional[str]
The identifier for the Log. If not specified, a default ID will be generated. This allows additional Logs to be appended to the trace without waiting for Humanloop to return an ID.
flow : typing.Optional[FlowKernelRequestParams]
Flow used to generate the Trace.
trace_status : typing.Optional[TraceStatus]
Status of the Trace. When a Trace is marked as `complete`, no more Logs can be added to it. Monitoring Evaluators will only run on `complete` Traces. If you do not intend to add more Logs to the Trace after creation, set this to `complete`.
request_options : typing.Optional[RequestOptions]
Request-specific configuration.
Returns
-------
CreateFlowLogResponse
Successful Response
Examples
--------
import datetime
from humanloop import Humanloop
client = Humanloop(
api_key="YOUR_API_KEY",
)
client.flows.log(
log_id="medqa_experiment_0001",
id="fl_6o701g4jmcanPVHxdqD0O",
flow={
"attributes": {
"prompt": {
"template": "You are a helpful assistant helping with medical anamnesis",
"model": "gpt-4o",
"temperature": 0.8,
},
"tool": {
"name": "retrieval_tool_v3",
"description": "Retrieval tool for MedQA.",
"source_code": "def retrieval_tool(question: str) -> str:\n pass\n",
},
}
},
inputs={
"question": "Patient with a history of diabetes and hypertension presents with chest pain and shortness of breath."
},
output="The patient is likely experiencing a myocardial infarction. Immediate medical attention is required.",
trace_status="incomplete",
start_time=datetime.datetime.fromisoformat(
"2024-07-08 22:40:35+00:00",
),
end_time=datetime.datetime.fromisoformat(
"2024-07-08 22:40:39+00:00",
),
)
"""
_response = self._client_wrapper.httpx_client.request(
"flows/log",
method="POST",
params={
"version_id": version_id,
"environment": environment,
},
json={
"run_id": run_id,
"path": path,
"id": id,
"start_time": start_time,
"end_time": end_time,
"output": output,
"created_at": created_at,
"error": error,
"provider_latency": provider_latency,
"stdout": stdout,
"provider_request": provider_request,
"provider_response": provider_response,
"inputs": inputs,
"source": source,
"metadata": metadata,
"source_datapoint_id": source_datapoint_id,
"trace_parent_id": trace_parent_id,
"user": user,
"environment": flow_log_request_environment,
"save": save,
"log_id": log_id,
"flow": convert_and_respect_annotation_metadata(
object_=flow, annotation=FlowKernelRequestParams, direction="write"
),
"trace_status": trace_status,
},
request_options=request_options,
omit=OMIT,
)
try:
if 200 <= _response.status_code < 300:
return typing.cast(
CreateFlowLogResponse,
construct_type(
type_=CreateFlowLogResponse, # type: ignore
object_=_response.json(),
),
)
if _response.status_code == 422:
raise UnprocessableEntityError(
typing.cast(
HttpValidationError,
construct_type(
type_=HttpValidationError, # type: ignore
object_=_response.json(),
),
)
)
_response_json = _response.json()
except JSONDecodeError:
raise ApiError(status_code=_response.status_code, body=_response.text)
raise ApiError(status_code=_response.status_code, body=_response_json)
def get(
self,
id: str,
*,
version_id: typing.Optional[str] = None,
environment: typing.Optional[str] = None,
request_options: typing.Optional[RequestOptions] = None,
) -> FlowResponse:
"""
Retrieve the Flow with the given ID.
By default, the deployed version of the Flow is returned. Use the query parameters
`version_id` or `environment` to target a specific version of the Flow.
Parameters
----------
id : str
Unique identifier for Flow.
version_id : typing.Optional[str]
A specific Version ID of the Flow to retrieve.
environment : typing.Optional[str]
Name of the Environment to retrieve a deployed Version from.
request_options : typing.Optional[RequestOptions]
Request-specific configuration.
Returns
-------
FlowResponse
Successful Response
Examples
--------
from humanloop import Humanloop
client = Humanloop(
api_key="YOUR_API_KEY",
)
client.flows.get(
id="fl_6o701g4jmcanPVHxdqD0O",
)
"""
_response = self._client_wrapper.httpx_client.request(
f"flows/{jsonable_encoder(id)}",
method="GET",
params={
"version_id": version_id,
"environment": environment,
},
request_options=request_options,
)
try:
if 200 <= _response.status_code < 300:
return typing.cast(
FlowResponse,
construct_type(
type_=FlowResponse, # type: ignore
object_=_response.json(),
),
)
if _response.status_code == 422:
raise UnprocessableEntityError(
typing.cast(
HttpValidationError,
construct_type(
type_=HttpValidationError, # type: ignore
object_=_response.json(),
),
)
)
_response_json = _response.json()
except JSONDecodeError:
raise ApiError(status_code=_response.status_code, body=_response.text)
raise ApiError(status_code=_response.status_code, body=_response_json)
def delete(self, id: str, *, request_options: typing.Optional[RequestOptions] = None) -> None:
"""
Delete the Flow with the given ID.
Parameters
----------
id : str
Unique identifier for Flow.
request_options : typing.Optional[RequestOptions]
Request-specific configuration.
Returns
-------
None
Examples
--------
from humanloop import Humanloop
client = Humanloop(
api_key="YOUR_API_KEY",
)
client.flows.delete(
id="fl_6o701g4jmcanPVHxdqD0O",
)
"""
_response = self._client_wrapper.httpx_client.request(
f"flows/{jsonable_encoder(id)}",
method="DELETE",
request_options=request_options,
)
try:
if 200 <= _response.status_code < 300:
return
if _response.status_code == 422:
raise UnprocessableEntityError(
typing.cast(
HttpValidationError,
construct_type(
type_=HttpValidationError, # type: ignore
object_=_response.json(),
),
)
)
_response_json = _response.json()
except JSONDecodeError:
raise ApiError(status_code=_response.status_code, body=_response.text)
raise ApiError(status_code=_response.status_code, body=_response_json)
def move(
self,
id: str,
*,
path: typing.Optional[str] = OMIT,
name: typing.Optional[str] = OMIT,
directory_id: typing.Optional[str] = OMIT,
request_options: typing.Optional[RequestOptions] = None,
) -> FlowResponse:
"""
Move the Flow to a different path or change the name.
Parameters
----------
id : str
Unique identifier for Flow.
path : typing.Optional[str]
Path of the Flow including the Flow name, which is used as a unique identifier.
name : typing.Optional[str]
Name of the Flow.
directory_id : typing.Optional[str]
Unique identifier for the Directory to move Flow to. Starts with `dir_`.
request_options : typing.Optional[RequestOptions]
Request-specific configuration.
Returns
-------
FlowResponse
Successful Response
Examples
--------
from humanloop import Humanloop
client = Humanloop(
api_key="YOUR_API_KEY",
)
client.flows.move(
id="fl_6o701g4jmcanPVHxdqD0O",
path="new directory/new name",
)
"""
_response = self._client_wrapper.httpx_client.request(
f"flows/{jsonable_encoder(id)}",
method="PATCH",
json={
"path": path,
"name": name,
"directory_id": directory_id,
},
request_options=request_options,
omit=OMIT,
)
try:
if 200 <= _response.status_code < 300:
return typing.cast(
FlowResponse,
construct_type(
type_=FlowResponse, # type: ignore
object_=_response.json(),
),
)
if _response.status_code == 422:
raise UnprocessableEntityError(
typing.cast(
HttpValidationError,
construct_type(
type_=HttpValidationError, # type: ignore
object_=_response.json(),
),
)
)
_response_json = _response.json()
except JSONDecodeError:
raise ApiError(status_code=_response.status_code, body=_response.text)
raise ApiError(status_code=_response.status_code, body=_response_json)
def list(
self,
*,
page: typing.Optional[int] = None,
size: typing.Optional[int] = None,
name: typing.Optional[str] = None,
user_filter: typing.Optional[str] = None,
sort_by: typing.Optional[ProjectSortBy] = None,
order: typing.Optional[SortOrder] = None,
request_options: typing.Optional[RequestOptions] = None,
) -> SyncPager[FlowResponse]:
"""
Get a list of Flows.
Parameters
----------
page : typing.Optional[int]
Page number for pagination.
size : typing.Optional[int]
Page size for pagination. Number of Flows to fetch.
name : typing.Optional[str]
Case-insensitive filter for Flow name.
user_filter : typing.Optional[str]
Case-insensitive filter for users in the Flow. This filter matches against both email address and name of users.
sort_by : typing.Optional[ProjectSortBy]
Field to sort Flows by
order : typing.Optional[SortOrder]
Direction to sort by.
request_options : typing.Optional[RequestOptions]
Request-specific configuration.
Returns
-------
SyncPager[FlowResponse]
Successful Response
Examples
--------
from humanloop import Humanloop
client = Humanloop(
api_key="YOUR_API_KEY",
)
response = client.flows.list(
size=1,
)
for item in response:
yield item
# alternatively, you can paginate page-by-page
for page in response.iter_pages():
yield page
"""
page = page if page is not None else 1
_response = self._client_wrapper.httpx_client.request(
"flows",
method="GET",
params={
"page": page,
"size": size,
"name": name,
"user_filter": user_filter,
"sort_by": sort_by,
"order": order,
},
request_options=request_options,
)
try:
if 200 <= _response.status_code < 300:
_parsed_response = typing.cast(
PaginatedDataFlowResponse,
construct_type(
type_=PaginatedDataFlowResponse, # type: ignore
object_=_response.json(),
),
)
_has_next = True
_get_next = lambda: self.list(
page=page + 1,
size=size,
name=name,
user_filter=user_filter,
sort_by=sort_by,
order=order,
request_options=request_options,
)
_items = _parsed_response.records
return SyncPager(has_next=_has_next, items=_items, get_next=_get_next)
if _response.status_code == 422:
raise UnprocessableEntityError(
typing.cast(
HttpValidationError,
construct_type(
type_=HttpValidationError, # type: ignore
object_=_response.json(),
),
)
)
_response_json = _response.json()
except JSONDecodeError:
raise ApiError(status_code=_response.status_code, body=_response.text)
raise ApiError(status_code=_response.status_code, body=_response_json)
def upsert(
self,
*,
attributes: typing.Dict[str, typing.Optional[typing.Any]],
path: typing.Optional[str] = OMIT,
id: typing.Optional[str] = OMIT,
commit_message: typing.Optional[str] = OMIT,
request_options: typing.Optional[RequestOptions] = None,
) -> FlowResponse:
"""
Create or update a Flow.
Flows can also be identified by the `ID` or their `path`.
If you provide a commit message, then the new version will be committed;
otherwise it will be uncommitted. If you try to commit an already committed version,
an exception will be raised.
Parameters
----------
attributes : typing.Dict[str, typing.Optional[typing.Any]]
A key-value object identifying the Flow Version.
path : typing.Optional[str]
Path of the Flow, including the name. This locates the Flow in the Humanloop filesystem and is used as as a unique identifier. For example: `folder/name` or just `name`.
id : typing.Optional[str]
ID for an existing Flow.
commit_message : typing.Optional[str]
Message describing the changes made.
request_options : typing.Optional[RequestOptions]
Request-specific configuration.
Returns
-------
FlowResponse
Successful Response
Examples
--------
from humanloop import Humanloop
client = Humanloop(
api_key="YOUR_API_KEY",
)
client.flows.upsert(
path="Personal Projects/MedQA Flow",
attributes={
"prompt": {
"template": "You are a helpful medical assistant helping with medical anamnesis. Answer {{question}}",
"model": "gpt-4o",
"temperature": 0.8,
},
"tool": {
"name": "retrieval_tool_v3",
"description": "Retrieval tool for MedQA.",
"source_code": "def retrieval_tool(question: str) -> str:\n pass\n",
},
"commit_message": "Initial commit",
},
)
"""
_response = self._client_wrapper.httpx_client.request(
"flows",
method="POST",
json={
"path": path,
"id": id,
"attributes": attributes,
"commit_message": commit_message,
},
request_options=request_options,
omit=OMIT,
)
try:
if 200 <= _response.status_code < 300:
return typing.cast(
FlowResponse,
construct_type(
type_=FlowResponse, # type: ignore
object_=_response.json(),
),
)
if _response.status_code == 422:
raise UnprocessableEntityError(
typing.cast(
HttpValidationError,
construct_type(
type_=HttpValidationError, # type: ignore
object_=_response.json(),
),
)
)
_response_json = _response.json()
except JSONDecodeError:
raise ApiError(status_code=_response.status_code, body=_response.text)
raise ApiError(status_code=_response.status_code, body=_response_json)
def update_log(
self,
log_id: str,
*,
trace_status: TraceStatus,
inputs: typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] = OMIT,
output: typing.Optional[str] = OMIT,
error: typing.Optional[str] = OMIT,
request_options: typing.Optional[RequestOptions] = None,
) -> FlowLogResponse:
"""
Update the status, inputs, output of a Flow Log.
Marking a Flow Log as complete will trigger any monitoring Evaluators to run.
Inputs and output (or error) must be provided in order to mark it as complete.
Parameters
----------
log_id : str
Unique identifier of the Flow Log.
trace_status : TraceStatus
Status of the Trace. When a Trace is marked as `complete`, no more Logs can be added to it. Monitoring Evaluators will only run on completed Traces.
inputs : typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]]
The inputs passed to the Flow Log.
output : typing.Optional[str]
The output of the Flow Log. Provide None to unset existing `output` value. Provide either this or `error`.
error : typing.Optional[str]
The error message of the Flow Log. Provide None to unset existing `error` value. Provide either this or `output`.
request_options : typing.Optional[RequestOptions]
Request-specific configuration.
Returns
-------
FlowLogResponse
Successful Response
Examples
--------
from humanloop import Humanloop
client = Humanloop(
api_key="YOUR_API_KEY",
)
client.flows.update_log(
log_id="medqa_experiment_0001",
inputs={
"question": "Patient with a history of diabetes and normal tension presents with chest pain and shortness of breath."
},
output="The patient is likely experiencing a myocardial infarction. Immediate medical attention is required.",
trace_status="complete",
)
"""
_response = self._client_wrapper.httpx_client.request(
f"flows/logs/{jsonable_encoder(log_id)}",
method="PATCH",
json={
"inputs": inputs,
"output": output,
"error": error,
"trace_status": trace_status,
},
request_options=request_options,
omit=OMIT,
)
try:
if 200 <= _response.status_code < 300:
return typing.cast(
FlowLogResponse,
construct_type(
type_=FlowLogResponse, # type: ignore
object_=_response.json(),
),
)
if _response.status_code == 422:
raise UnprocessableEntityError(
typing.cast(
HttpValidationError,
construct_type(
type_=HttpValidationError, # type: ignore
object_=_response.json(),
),
)
)
_response_json = _response.json()
except JSONDecodeError:
raise ApiError(status_code=_response.status_code, body=_response.text)
raise ApiError(status_code=_response.status_code, body=_response_json)
def list_versions(
self,
id: str,
*,
status: typing.Optional[VersionStatus] = None,
evaluator_aggregates: typing.Optional[bool] = None,
request_options: typing.Optional[RequestOptions] = None,
) -> ListFlows:
"""
Get a list of all the versions of a Flow.
Parameters
----------
id : str
Unique identifier for Flow.
status : typing.Optional[VersionStatus]
Filter versions by status: 'uncommitted', 'committed'. If no status is provided, all versions are returned.
evaluator_aggregates : typing.Optional[bool]
Whether to include Evaluator aggregate results for the versions in the response
request_options : typing.Optional[RequestOptions]
Request-specific configuration.
Returns
-------
ListFlows
Successful Response
Examples
--------
from humanloop import Humanloop
client = Humanloop(
api_key="YOUR_API_KEY",
)
client.flows.list_versions(
id="fl_6o701g4jmcanPVHxdqD0O",
status="committed",
)
"""
_response = self._client_wrapper.httpx_client.request(
f"flows/{jsonable_encoder(id)}/versions",
method="GET",
params={
"status": status,
"evaluator_aggregates": evaluator_aggregates,
},
request_options=request_options,
)
try:
if 200 <= _response.status_code < 300:
return typing.cast(
ListFlows,
construct_type(
type_=ListFlows, # type: ignore
object_=_response.json(),
),
)
if _response.status_code == 422:
raise UnprocessableEntityError(
typing.cast(
HttpValidationError,
construct_type(
type_=HttpValidationError, # type: ignore
object_=_response.json(),
),
)
)
_response_json = _response.json()
except JSONDecodeError:
raise ApiError(status_code=_response.status_code, body=_response.text)
raise ApiError(status_code=_response.status_code, body=_response_json)
def commit(
self, id: str, version_id: str, *, commit_message: str, request_options: typing.Optional[RequestOptions] = None
) -> FlowResponse:
"""
Commit a version of the Flow with a commit message.
If the version is already committed, an exception will be raised.
Parameters
----------
id : str
Unique identifier for Flow.
version_id : str
Unique identifier for the specific version of the Flow.
commit_message : str
Message describing the changes made.
request_options : typing.Optional[RequestOptions]
Request-specific configuration.
Returns
-------
FlowResponse
Successful Response
Examples
--------
from humanloop import Humanloop
client = Humanloop(
api_key="YOUR_API_KEY",
)
client.flows.commit(
id="fl_6o701g4jmcanPVHxdqD0O",
version_id="flv_6o701g4jmcanPVHxdqD0O",
commit_message="RAG lookup tool bug fixing",
)
"""
_response = self._client_wrapper.httpx_client.request(
f"flows/{jsonable_encoder(id)}/versions/{jsonable_encoder(version_id)}/commit",
method="POST",
json={
"commit_message": commit_message,
},
request_options=request_options,
omit=OMIT,
)
try:
if 200 <= _response.status_code < 300:
return typing.cast(
FlowResponse,
construct_type(
type_=FlowResponse, # type: ignore
object_=_response.json(),
),
)
if _response.status_code == 422:
raise UnprocessableEntityError(
typing.cast(
HttpValidationError,
construct_type(
type_=HttpValidationError, # type: ignore
object_=_response.json(),
),
)
)
_response_json = _response.json()
except JSONDecodeError:
raise ApiError(status_code=_response.status_code, body=_response.text)
raise ApiError(status_code=_response.status_code, body=_response_json)
def set_deployment(
self, id: str, environment_id: str, *, version_id: str, request_options: typing.Optional[RequestOptions] = None
) -> FlowResponse:
"""
Deploy Flow to an Environment.
Set the deployed version for the specified Environment. This Flow
will be used for calls made to the Flow in this Environment.
Parameters
----------
id : str
Unique identifier for Flow.
environment_id : str
Unique identifier for the Environment to deploy the Version to.
version_id : str
Unique identifier for the specific version of the Flow.
request_options : typing.Optional[RequestOptions]
Request-specific configuration.
Returns
-------
FlowResponse
Successful Response
Examples
--------
from humanloop import Humanloop
client = Humanloop(
api_key="YOUR_API_KEY",
)
client.flows.set_deployment(
id="fl_6o701g4jmcanPVHxdqD0O",
environment_id="staging",
version_id="flv_6o701g4jmcanPVHxdqD0O",
)
"""
_response = self._client_wrapper.httpx_client.request(
f"flows/{jsonable_encoder(id)}/environments/{jsonable_encoder(environment_id)}",
method="POST",
params={
"version_id": version_id,
},
request_options=request_options,
)
try:
if 200 <= _response.status_code < 300:
return typing.cast(
FlowResponse,
construct_type(
type_=FlowResponse, # type: ignore
object_=_response.json(),
),
)
if _response.status_code == 422:
raise UnprocessableEntityError(
typing.cast(
HttpValidationError,
construct_type(
type_=HttpValidationError, # type: ignore
object_=_response.json(),
),
)
)
_response_json = _response.json()
except JSONDecodeError:
raise ApiError(status_code=_response.status_code, body=_response.text)
raise ApiError(status_code=_response.status_code, body=_response_json)
def remove_deployment(
self, id: str, environment_id: str, *, request_options: typing.Optional[RequestOptions] = None
) -> None:
"""
Remove deployed Flow from the Environment.
Remove the deployed version for the specified Environment. This Flow