Merge pull request #35 from RevEngAI/sdk-update-v2.12.0

robertmarsal · web-flow · commit c0b5fe430799 · 2025-10-21T09:20:51.000+01:00
🤖 Update SDK to version v2.12.0
diff --git a/.sdk-version b/.sdk-version
@@ -1 +1 @@
-v2.11.7
+v2.12.0
diff --git a/docs/AnalysisFunctionMatchingRequest.md b/docs/AnalysisFunctionMatchingRequest.md
@@ -10,6 +10,7 @@ Name | Type | Description | Notes
 **results_per_function** | **int** | Maximum number of matches to return per function, default is 1, max is 10 | [optional] [default to 1]
 **page** | **int** | Page number for paginated results, default is 1 (first page) | [optional] [default to 1]
 **page_size** | **int** | Number of functions to return per page, default is 0 (all functions), max is 1000 | [optional] [default to 0]
+**no_cache** | **bool** | If set to true, forces the system to bypass any cached results and perform a fresh computation | [optional] [default to False]
 
 ## Example
 
diff --git a/docs/AutoUnstripRequest.md b/docs/AutoUnstripRequest.md
@@ -9,6 +9,7 @@ Name | Type | Description | Notes
 **apply** | **bool** | Whether to apply the matched function names to the target binary, default is False | [optional] [default to False]
 **confidence_threshold** | **float** | Confidence threshold for applying function names as a percentage, default is 90 | [optional] [default to 90.0]
 **min_group_size** | **int** | Minimum number of matching functions required to consider for a match, default is 10 | [optional] [default to 10]
+**no_cache** | **bool** | If set to true, forces the system to bypass any cached results and perform a fresh computation | [optional] [default to False]
 
 ## Example
 
diff --git a/docs/FunctionMatchingRequest.md b/docs/FunctionMatchingRequest.md
@@ -12,6 +12,7 @@ Name | Type | Description | Notes
 **results_per_function** | **int** | Maximum number of matches to return per function, default is 1, max is 50 | [optional] [default to 1]
 **page** | **int** | Page number for paginated results, default is 1 (first page) | [optional] [default to 1]
 **page_size** | **int** | Number of functions to return per page, default is 0 (all functions), max is 1000 | [optional] [default to 0]
+**no_cache** | **bool** | If set to true, forces the system to bypass any cached results and perform a fresh computation | [optional] [default to False]
 
 ## Example
 
diff --git a/revengai/__init__.py b/revengai/__init__.py
@@ -13,7 +13,7 @@
 """  # noqa: E501
 
 
-__version__ = "v2.11.7"
+__version__ = "v2.12.0"
 
 # Define package exports
 __all__ = [
diff --git a/revengai/api_client.py b/revengai/api_client.py
@@ -90,7 +90,7 @@ def __init__(
             self.default_headers[header_name] = header_value
         self.cookie = cookie
         # Set default User-Agent.
-        self.user_agent = 'OpenAPI-Generator/v2.11.7/python'
+        self.user_agent = 'OpenAPI-Generator/v2.12.0/python'
         self.client_side_validation = configuration.client_side_validation
 
     def __enter__(self):
diff --git a/revengai/configuration.py b/revengai/configuration.py
@@ -529,8 +529,8 @@ def to_debug_report(self) -> str:
         return "Python SDK Debug Report:\n"\
                "OS: {env}\n"\
                "Python Version: {pyversion}\n"\
-               "Version of the API: v2.11.7\n"\
-               "SDK Package Version: v2.11.7".\
+               "Version of the API: v2.12.0\n"\
+               "SDK Package Version: v2.12.0".\
                format(env=sys.platform, pyversion=sys.version)
 
     def get_host_settings(self) -> List[HostSetting]:
diff --git a/revengai/models/analysis_function_matching_request.py b/revengai/models/analysis_function_matching_request.py
@@ -16,7 +16,7 @@
 import re  # noqa: F401
 import json
 
-from pydantic import BaseModel, ConfigDict, Field
+from pydantic import BaseModel, ConfigDict, Field, StrictBool
 from typing import Any, ClassVar, Dict, List, Optional, Union
 from typing_extensions import Annotated
 from revengai.models.function_matching_filters import FunctionMatchingFilters
@@ -32,7 +32,8 @@ class AnalysisFunctionMatchingRequest(BaseModel):
     results_per_function: Optional[Annotated[int, Field(le=10, strict=True, ge=1)]] = Field(default=1, description="Maximum number of matches to return per function, default is 1, max is 10")
     page: Optional[Annotated[int, Field(strict=True, ge=1)]] = Field(default=1, description="Page number for paginated results, default is 1 (first page)")
     page_size: Optional[Annotated[int, Field(le=1000, strict=True, ge=0)]] = Field(default=0, description="Number of functions to return per page, default is 0 (all functions), max is 1000")
-    __properties: ClassVar[List[str]] = ["min_similarity", "filters", "results_per_function", "page", "page_size"]
+    no_cache: Optional[StrictBool] = Field(default=False, description="If set to true, forces the system to bypass any cached results and perform a fresh computation")
+    __properties: ClassVar[List[str]] = ["min_similarity", "filters", "results_per_function", "page", "page_size", "no_cache"]
 
     model_config = ConfigDict(
         populate_by_name=True,
@@ -97,7 +98,8 @@ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
             "filters": FunctionMatchingFilters.from_dict(obj["filters"]) if obj.get("filters") is not None else None,
             "results_per_function": obj.get("results_per_function") if obj.get("results_per_function") is not None else 1,
             "page": obj.get("page") if obj.get("page") is not None else 1,
-            "page_size": obj.get("page_size") if obj.get("page_size") is not None else 0
+            "page_size": obj.get("page_size") if obj.get("page_size") is not None else 0,
+            "no_cache": obj.get("no_cache") if obj.get("no_cache") is not None else False
         })
         return _obj
 
diff --git a/revengai/models/auto_unstrip_request.py b/revengai/models/auto_unstrip_request.py
@@ -30,7 +30,8 @@ class AutoUnstripRequest(BaseModel):
     apply: Optional[StrictBool] = Field(default=False, description="Whether to apply the matched function names to the target binary, default is False")
     confidence_threshold: Optional[Union[Annotated[float, Field(le=100.0, strict=True, ge=0.0)], Annotated[int, Field(le=100, strict=True, ge=0)]]] = Field(default=90.0, description="Confidence threshold for applying function names as a percentage, default is 90")
     min_group_size: Optional[Annotated[int, Field(le=20, strict=True, ge=1)]] = Field(default=10, description="Minimum number of matching functions required to consider for a match, default is 10")
-    __properties: ClassVar[List[str]] = ["min_similarity", "apply", "confidence_threshold", "min_group_size"]
+    no_cache: Optional[StrictBool] = Field(default=False, description="If set to true, forces the system to bypass any cached results and perform a fresh computation")
+    __properties: ClassVar[List[str]] = ["min_similarity", "apply", "confidence_threshold", "min_group_size", "no_cache"]
 
     model_config = ConfigDict(
         populate_by_name=True,
@@ -86,7 +87,8 @@ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
             "min_similarity": obj.get("min_similarity") if obj.get("min_similarity") is not None else 90.0,
             "apply": obj.get("apply") if obj.get("apply") is not None else False,
             "confidence_threshold": obj.get("confidence_threshold") if obj.get("confidence_threshold") is not None else 90.0,
-            "min_group_size": obj.get("min_group_size") if obj.get("min_group_size") is not None else 10
+            "min_group_size": obj.get("min_group_size") if obj.get("min_group_size") is not None else 10,
+            "no_cache": obj.get("no_cache") if obj.get("no_cache") is not None else False
         })
         return _obj
 
diff --git a/revengai/models/function_matching_request.py b/revengai/models/function_matching_request.py
@@ -16,7 +16,7 @@
 import re  # noqa: F401
 import json
 
-from pydantic import BaseModel, ConfigDict, Field, StrictInt
+from pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictInt
 from typing import Any, ClassVar, Dict, List, Optional, Union
 from typing_extensions import Annotated
 from revengai.models.function_matching_filters import FunctionMatchingFilters
@@ -34,7 +34,8 @@ class FunctionMatchingRequest(BaseModel):
     results_per_function: Optional[Annotated[int, Field(le=50, strict=True, ge=1)]] = Field(default=1, description="Maximum number of matches to return per function, default is 1, max is 50")
     page: Optional[Annotated[int, Field(strict=True, ge=1)]] = Field(default=1, description="Page number for paginated results, default is 1 (first page)")
     page_size: Optional[Annotated[int, Field(le=1000, strict=True, ge=0)]] = Field(default=0, description="Number of functions to return per page, default is 0 (all functions), max is 1000")
-    __properties: ClassVar[List[str]] = ["model_id", "function_ids", "min_similarity", "filters", "results_per_function", "page", "page_size"]
+    no_cache: Optional[StrictBool] = Field(default=False, description="If set to true, forces the system to bypass any cached results and perform a fresh computation")
+    __properties: ClassVar[List[str]] = ["model_id", "function_ids", "min_similarity", "filters", "results_per_function", "page", "page_size", "no_cache"]
 
     model_config = ConfigDict(
         populate_by_name=True,
@@ -101,7 +102,8 @@ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
             "filters": FunctionMatchingFilters.from_dict(obj["filters"]) if obj.get("filters") is not None else None,
             "results_per_function": obj.get("results_per_function") if obj.get("results_per_function") is not None else 1,
             "page": obj.get("page") if obj.get("page") is not None else 1,
-            "page_size": obj.get("page_size") if obj.get("page_size") is not None else 0
+            "page_size": obj.get("page_size") if obj.get("page_size") is not None else 0,
+            "no_cache": obj.get("no_cache") if obj.get("no_cache") is not None else False
         })
         return _obj
 
diff --git a/test/test_analysis_function_matching_request.py b/test/test_analysis_function_matching_request.py
@@ -50,7 +50,8 @@ def make_instance(self, include_optional) -> AnalysisFunctionMatchingRequest:
                         ], ),
                 results_per_function = 1.0,
                 page = 1.0,
-                page_size = 0.0
+                page_size = 0.0,
+                no_cache = True
             )
         else:
             return AnalysisFunctionMatchingRequest(
diff --git a/test/test_auto_unstrip_request.py b/test/test_auto_unstrip_request.py
@@ -37,7 +37,8 @@ def make_instance(self, include_optional) -> AutoUnstripRequest:
                 min_similarity = 0.0,
                 apply = True,
                 confidence_threshold = 0.0,
-                min_group_size = 1.0
+                min_group_size = 1.0,
+                no_cache = True
             )
         else:
             return AutoUnstripRequest(
diff --git a/test/test_function_matching_request.py b/test/test_function_matching_request.py
@@ -54,7 +54,8 @@ def make_instance(self, include_optional) -> FunctionMatchingRequest:
                         ], ),
                 results_per_function = 1.0,
                 page = 1.0,
-                page_size = 0.0
+                page_size = 0.0,
+                no_cache = True
             )
         else:
             return FunctionMatchingRequest(
