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updated generated code
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@CoreyEWood
CoreyEWood committed Dec 5, 2024
1 parent aa95638 commit 357f40c
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Showing 5 changed files with 80 additions and 98 deletions.
4 changes: 3 additions & 1 deletion generated/docs/ImageQueriesApi.md
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Original file line number Diff line number Diff line change
Expand Up @@ -282,6 +282,7 @@ with groundlight_openapi_client.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = image_queries_api.ImageQueriesApi(api_client)
detector_id = "detector_id_example" # str | Choose a detector by its ID.
confidence_threshold = 0 # float | The confidence threshold for the image query. (optional)
human_review = "human_review_example" # str | If set to `DEFAULT`, use the regular escalation logic (i.e., send the image query for human review if the ML model is not confident). If set to `ALWAYS`, always send the image query for human review even if the ML model is confident. If set to `NEVER`, never send the image query for human review even if the ML model is not confident. (optional)
image_query_id = "image_query_id_example" # str | The ID to assign to the created image query. (optional)
inspection_id = "inspection_id_example" # str | Associate the image query with an inspection. (optional)
Expand All @@ -300,7 +301,7 @@ with groundlight_openapi_client.ApiClient(configuration) as api_client:
# example passing only required values which don't have defaults set
# and optional values
try:
api_response = api_instance.submit_image_query(detector_id, human_review=human_review, image_query_id=image_query_id, inspection_id=inspection_id, metadata=metadata, patience_time=patience_time, want_async=want_async, body=body)
api_response = api_instance.submit_image_query(detector_id, confidence_threshold=confidence_threshold, human_review=human_review, image_query_id=image_query_id, inspection_id=inspection_id, metadata=metadata, patience_time=patience_time, want_async=want_async, body=body)
pprint(api_response)
except groundlight_openapi_client.ApiException as e:
print("Exception when calling ImageQueriesApi->submit_image_query: %s\n" % e)
Expand All @@ -312,6 +313,7 @@ with groundlight_openapi_client.ApiClient(configuration) as api_client:
Name | Type | Description | Notes
------------- | ------------- | ------------- | -------------
**detector_id** | **str**| Choose a detector by its ID. |
**confidence_threshold** | **float**| The confidence threshold for the image query. | [optional]
**human_review** | **str**| If set to `DEFAULT`, use the regular escalation logic (i.e., send the image query for human review if the ML model is not confident). If set to `ALWAYS`, always send the image query for human review even if the ML model is confident. If set to `NEVER`, never send the image query for human review even if the ML model is not confident. | [optional]
**image_query_id** | **str**| The ID to assign to the created image query. | [optional]
**inspection_id** | **str**| Associate the image query with an inspection. | [optional]
Expand Down
16 changes: 14 additions & 2 deletions generated/groundlight_openapi_client/api/image_queries_api.py
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Original file line number Diff line number Diff line change
Expand Up @@ -170,6 +170,7 @@ def __init__(self, api_client=None):
params_map={
"all": [
"detector_id",
"confidence_threshold",
"human_review",
"image_query_id",
"inspection_id",
Expand All @@ -183,13 +184,21 @@ def __init__(self, api_client=None):
],
"nullable": [],
"enum": [],
"validation": [],
"validation": [
"confidence_threshold",
],
},
root_map={
"validations": {},
"validations": {
("confidence_threshold",): {
"inclusive_maximum": 1,
"inclusive_minimum": 0,
},
},
"allowed_values": {},
"openapi_types": {
"detector_id": (str,),
"confidence_threshold": (float,),
"human_review": (str,),
"image_query_id": (str,),
"inspection_id": (str,),
Expand All @@ -200,6 +209,7 @@ def __init__(self, api_client=None):
},
"attribute_map": {
"detector_id": "detector_id",
"confidence_threshold": "confidence_threshold",
"human_review": "human_review",
"image_query_id": "image_query_id",
"inspection_id": "inspection_id",
Expand All @@ -209,6 +219,7 @@ def __init__(self, api_client=None):
},
"location_map": {
"detector_id": "query",
"confidence_threshold": "query",
"human_review": "query",
"image_query_id": "query",
"inspection_id": "query",
Expand Down Expand Up @@ -421,6 +432,7 @@ def submit_image_query(self, detector_id, **kwargs):
detector_id (str): Choose a detector by its ID.
Keyword Args:
confidence_threshold (float): The confidence threshold for the image query.. [optional]
human_review (str): If set to `DEFAULT`, use the regular escalation logic (i.e., send the image query for human review if the ML model is not confident). If set to `ALWAYS`, always send the image query for human review even if the ML model is confident. If set to `NEVER`, never send the image query for human review even if the ML model is not confident.. [optional]
image_query_id (str): The ID to assign to the created image query.. [optional]
inspection_id (str): Associate the image query with an inspection.. [optional]
Expand Down
3 changes: 3 additions & 0 deletions generated/groundlight_openapi_client/model/counting_result.py
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Original file line number Diff line number Diff line change
Expand Up @@ -64,6 +64,9 @@ class CountingResult(ModelNormal):
}

validations = {
("count",): {
"inclusive_minimum": 0,
},
("confidence",): {
"inclusive_maximum": 1.0,
"inclusive_minimum": 0.0,
Expand Down
151 changes: 58 additions & 93 deletions generated/groundlight_openapi_client/model/patched_detector_request.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,7 @@
Generated by: https://openapi-generator.tech
"""


import re # noqa: F401
import sys # noqa: F401

Expand All @@ -24,7 +25,7 @@
file_type,
none_type,
validate_get_composed_info,
OpenApiModel,
OpenApiModel
)
from groundlight_openapi_client.exceptions import ApiAttributeError

Expand All @@ -33,10 +34,9 @@ def lazy_import():
from groundlight_openapi_client.model.blank_enum import BlankEnum
from groundlight_openapi_client.model.escalation_type_enum import EscalationTypeEnum
from groundlight_openapi_client.model.status_enum import StatusEnum

globals()["BlankEnum"] = BlankEnum
globals()["EscalationTypeEnum"] = EscalationTypeEnum
globals()["StatusEnum"] = StatusEnum
globals()['BlankEnum'] = BlankEnum
globals()['EscalationTypeEnum'] = EscalationTypeEnum
globals()['StatusEnum'] = StatusEnum


class PatchedDetectorRequest(ModelNormal):
Expand All @@ -63,20 +63,21 @@ class PatchedDetectorRequest(ModelNormal):
as additional properties values.
"""

allowed_values = {}
allowed_values = {
}

validations = {
("name",): {
"max_length": 200,
"min_length": 1,
('name',): {
'max_length': 200,
'min_length': 1,
},
("confidence_threshold",): {
"inclusive_maximum": 1.0,
"inclusive_minimum": 0.0,
('confidence_threshold',): {
'inclusive_maximum': 1.0,
'inclusive_minimum': 0.0,
},
("patience_time",): {
"inclusive_maximum": 3600,
"inclusive_minimum": 0,
('patience_time',): {
'inclusive_maximum': 3600,
'inclusive_minimum': 0,
},
}

Expand All @@ -87,17 +88,7 @@ def additional_properties_type():
of type self, this must run after the class is loaded
"""
lazy_import()
return (
bool,
date,
datetime,
dict,
float,
int,
list,
str,
none_type,
) # noqa: E501
return (bool, date, datetime, dict, float, int, list, str, none_type,) # noqa: E501

_nullable = False

Expand All @@ -113,46 +104,28 @@ def openapi_types():
"""
lazy_import()
return {
"name": (str,), # noqa: E501
"confidence_threshold": (float,), # noqa: E501
"patience_time": (float,), # noqa: E501
"status": (
bool,
date,
datetime,
dict,
float,
int,
list,
str,
none_type,
), # noqa: E501
"escalation_type": (
bool,
date,
datetime,
dict,
float,
int,
list,
str,
none_type,
), # noqa: E501
'name': (str,), # noqa: E501
'confidence_threshold': (float,), # noqa: E501
'patience_time': (float,), # noqa: E501
'status': (bool, date, datetime, dict, float, int, list, str, none_type,), # noqa: E501
'escalation_type': (bool, date, datetime, dict, float, int, list, str, none_type,), # noqa: E501
}

@cached_property
def discriminator():
return None


attribute_map = {
"name": "name", # noqa: E501
"confidence_threshold": "confidence_threshold", # noqa: E501
"patience_time": "patience_time", # noqa: E501
"status": "status", # noqa: E501
"escalation_type": "escalation_type", # noqa: E501
'name': 'name', # noqa: E501
'confidence_threshold': 'confidence_threshold', # noqa: E501
'patience_time': 'patience_time', # noqa: E501
'status': 'status', # noqa: E501
'escalation_type': 'escalation_type', # noqa: E501
}

read_only_vars = {}
read_only_vars = {
}

_composed_schemas = {}

Expand Down Expand Up @@ -199,18 +172,17 @@ def _from_openapi_data(cls, *args, **kwargs): # noqa: E501
escalation_type (bool, date, datetime, dict, float, int, list, str, none_type): Category that define internal proccess for labeling image queries * `STANDARD` - STANDARD * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING. [optional] # noqa: E501
"""

_check_type = kwargs.pop("_check_type", True)
_spec_property_naming = kwargs.pop("_spec_property_naming", False)
_path_to_item = kwargs.pop("_path_to_item", ())
_configuration = kwargs.pop("_configuration", None)
_visited_composed_classes = kwargs.pop("_visited_composed_classes", ())
_check_type = kwargs.pop('_check_type', True)
_spec_property_naming = kwargs.pop('_spec_property_naming', False)
_path_to_item = kwargs.pop('_path_to_item', ())
_configuration = kwargs.pop('_configuration', None)
_visited_composed_classes = kwargs.pop('_visited_composed_classes', ())

self = super(OpenApiModel, cls).__new__(cls)

if args:
raise ApiTypeError(
"Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments."
% (
"Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." % (
args,
self.__class__.__name__,
),
Expand All @@ -226,24 +198,22 @@ def _from_openapi_data(cls, *args, **kwargs): # noqa: E501
self._visited_composed_classes = _visited_composed_classes + (self.__class__,)

for var_name, var_value in kwargs.items():
if (
var_name not in self.attribute_map
and self._configuration is not None
and self._configuration.discard_unknown_keys
and self.additional_properties_type is None
):
if var_name not in self.attribute_map and \
self._configuration is not None and \
self._configuration.discard_unknown_keys and \
self.additional_properties_type is None:
# discard variable.
continue
setattr(self, var_name, var_value)
return self

required_properties = set([
"_data_store",
"_check_type",
"_spec_property_naming",
"_path_to_item",
"_configuration",
"_visited_composed_classes",
'_data_store',
'_check_type',
'_spec_property_naming',
'_path_to_item',
'_configuration',
'_visited_composed_classes',
])

@convert_js_args_to_python_args
Expand Down Expand Up @@ -288,16 +258,15 @@ def __init__(self, *args, **kwargs): # noqa: E501
escalation_type (bool, date, datetime, dict, float, int, list, str, none_type): Category that define internal proccess for labeling image queries * `STANDARD` - STANDARD * `NO_HUMAN_LABELING` - NO_HUMAN_LABELING. [optional] # noqa: E501
"""

_check_type = kwargs.pop("_check_type", True)
_spec_property_naming = kwargs.pop("_spec_property_naming", False)
_path_to_item = kwargs.pop("_path_to_item", ())
_configuration = kwargs.pop("_configuration", None)
_visited_composed_classes = kwargs.pop("_visited_composed_classes", ())
_check_type = kwargs.pop('_check_type', True)
_spec_property_naming = kwargs.pop('_spec_property_naming', False)
_path_to_item = kwargs.pop('_path_to_item', ())
_configuration = kwargs.pop('_configuration', None)
_visited_composed_classes = kwargs.pop('_visited_composed_classes', ())

if args:
raise ApiTypeError(
"Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments."
% (
"Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." % (
args,
self.__class__.__name__,
),
Expand All @@ -313,17 +282,13 @@ def __init__(self, *args, **kwargs): # noqa: E501
self._visited_composed_classes = _visited_composed_classes + (self.__class__,)

for var_name, var_value in kwargs.items():
if (
var_name not in self.attribute_map
and self._configuration is not None
and self._configuration.discard_unknown_keys
and self.additional_properties_type is None
):
if var_name not in self.attribute_map and \
self._configuration is not None and \
self._configuration.discard_unknown_keys and \
self.additional_properties_type is None:
# discard variable.
continue
setattr(self, var_name, var_value)
if var_name in self.read_only_vars:
raise ApiAttributeError(
f"`{var_name}` is a read-only attribute. Use `from_openapi_data` to instantiate "
"class with read only attributes."
)
raise ApiAttributeError(f"`{var_name}` is a read-only attribute. Use `from_openapi_data` to instantiate "
f"class with read only attributes.")
4 changes: 2 additions & 2 deletions generated/model.py
View file
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
# generated by datamodel-codegen:
# filename: public-api.yaml
# timestamp: 2024-12-05T21:27:07+00:00
# timestamp: 2024-12-05T23:53:32+00:00

from __future__ import annotations

Expand Down Expand Up @@ -200,7 +200,7 @@ class BinaryClassificationResult(BaseModel):
class CountingResult(BaseModel):
confidence: Optional[confloat(ge=0.0, le=1.0)] = None
source: Optional[Source] = None
count: int
count: conint(ge=0)
greater_than_max: Optional[bool] = None


Expand Down

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