🤖 Update SDK to version v3.102.0

.sdk-version

@@ -1 +1 @@
-v3.101.0
+v3.102.0

docs/AnalysisBasicInfoOutputBody.md

@@ -10,7 +10,7 @@ Name | Type | Description | Notes
 **binary_id** | **int** | Binary ID | 
 **binary_name** | **str** | Binary filename | 
 **binary_size** | **int** | Binary size in bytes | 
-**binary_uuid** | **str** | UUID of the binary, omitted when not set | [optional] 
+**binary_uuid** | **str** | UUID of the binary, omitted when not set | 
 **creation** | **datetime** | When the binary was uploaded | 
 **debug** | **bool** | True when the binary was analysed with debug symbols | 
 **function_count** | **int** | Number of functions in the binary | 

docs/DataTypesEntry.md

@@ -6,6 +6,7 @@
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
 **data_types** | [**FunctionInfo**](FunctionInfo.md) |  | [optional] 
+**data_types_version** | **int** | Current version of the function data types. Pass this back on the next write to satisfy the CAS check. | 
 **function_id** | **int** |  | 
 
 ## Example

docs/FunctionDetailsOutputBody.md

@@ -5,6 +5,7 @@
 
 Name | Type | Description | Notes
 ------------ | ------------- | ------------- | -------------
+**analysis_id** | **int** |  | 
 **binary_id** | **int** |  | 
 **creation** | **datetime** |  | 
 **debug** | **bool** |  | 

docs/StartMatchingForFunctionsInputBody.md

@@ -9,6 +9,7 @@ Name | Type | Description | Notes
 **function_ids** | **List[int]** | Source function IDs to match against the rest of the corpus. | 
 **min_similarity** | **float** | Similarity floor as a percentage. Defaults to 90. | [optional] 
 **results_per_function** | **int** | Max matches returned per source function. Defaults to 1. | [optional] 
+**use_canonical_names** | **bool** | Collapse near-duplicate candidate names into canonical buckets and return per-name confidences (the response 'confidences' array). Adds a canonicalisation step; defaults to false. | [optional] 
 
 ## Example
 

revengai/__init__.py

@@ -13,7 +13,7 @@
 """  # noqa: E501
 
 
-__version__ = "v3.101.0"
+__version__ = "v3.102.0"
 
 # Define package exports
 __all__ = [

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/v3.101.0/python'
+        self.user_agent = 'OpenAPI-Generator/v3.102.0/python'
         self.client_side_validation = configuration.client_side_validation
 
     def __enter__(self):

revengai/configuration.py

@@ -541,8 +541,8 @@ def to_debug_report(self) -> str:
         return "Python SDK Debug Report:\n"\
                "OS: {env}\n"\
                "Python Version: {pyversion}\n"\
-               "Version of the API: v3.101.0\n"\
-               "SDK Package Version: v3.101.0".\
+               "Version of the API: v3.102.0\n"\
+               "SDK Package Version: v3.102.0".\
                format(env=sys.platform, pyversion=sys.version)
 
     def get_host_settings(self) -> List[HostSetting]:

revengai/models/analysis_basic_info_output_body.py

@@ -31,7 +31,7 @@ class AnalysisBasicInfoOutputBody(BaseModel):
     binary_id: StrictInt = Field(description="Binary ID")
     binary_name: StrictStr = Field(description="Binary filename")
     binary_size: StrictInt = Field(description="Binary size in bytes")
-    binary_uuid: Optional[StrictStr] = Field(default=None, description="UUID of the binary, omitted when not set")
+    binary_uuid: StrictStr = Field(description="UUID of the binary, omitted when not set")
     creation: datetime = Field(description="When the binary was uploaded")
     debug: StrictBool = Field(description="True when the binary was analysed with debug symbols")
     function_count: StrictInt = Field(description="Number of functions in the binary")

revengai/models/data_types_entry.py

@@ -16,7 +16,7 @@
 import re  # noqa: F401
 import json
 
-from pydantic import BaseModel, ConfigDict, StrictInt
+from pydantic import BaseModel, ConfigDict, Field, StrictInt
 from typing import Any, ClassVar, Dict, List, Optional
 from revengai.models.function_info import FunctionInfo
 from typing import Optional, Set
@@ -27,9 +27,10 @@ class DataTypesEntry(BaseModel):
     DataTypesEntry
     """ # noqa: E501
     data_types: Optional[FunctionInfo] = None
+    data_types_version: StrictInt = Field(description="Current version of the function data types. Pass this back on the next write to satisfy the CAS check.")
     function_id: StrictInt
     additional_properties: Dict[str, Any] = {}
-    __properties: ClassVar[List[str]] = ["data_types", "function_id"]
+    __properties: ClassVar[List[str]] = ["data_types", "data_types_version", "function_id"]
 
     model_config = ConfigDict(
         populate_by_name=True,
@@ -93,6 +94,7 @@ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
 
         _obj = cls.model_validate({
             "data_types": FunctionInfo.from_dict(obj["data_types"]) if obj.get("data_types") is not None else None,
+            "data_types_version": obj.get("data_types_version"),
             "function_id": obj.get("function_id")
         })
         # store additional fields in additional_properties

revengai/models/function_details_output_body.py

@@ -26,6 +26,7 @@ class FunctionDetailsOutputBody(BaseModel):
     """
     FunctionDetailsOutputBody
     """ # noqa: E501
+    analysis_id: StrictInt
     binary_id: StrictInt
     creation: datetime
     debug: StrictBool
@@ -36,7 +37,7 @@ class FunctionDetailsOutputBody(BaseModel):
     mangled_name: Optional[StrictStr] = None
     source_function_id: Optional[StrictInt] = None
     additional_properties: Dict[str, Any] = {}
-    __properties: ClassVar[List[str]] = ["binary_id", "creation", "debug", "function_id", "function_name", "function_size", "function_vaddr", "mangled_name", "source_function_id"]
+    __properties: ClassVar[List[str]] = ["analysis_id", "binary_id", "creation", "debug", "function_id", "function_name", "function_size", "function_vaddr", "mangled_name", "source_function_id"]
 
     model_config = ConfigDict(
         populate_by_name=True,
@@ -96,6 +97,7 @@ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
             return cls.model_validate(obj)
 
         _obj = cls.model_validate({
+            "analysis_id": obj.get("analysis_id"),
             "binary_id": obj.get("binary_id"),
             "creation": obj.get("creation"),
             "debug": obj.get("debug"),

revengai/models/start_matching_for_functions_input_body.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.match_filters import MatchFilters
@@ -31,8 +31,9 @@ class StartMatchingForFunctionsInputBody(BaseModel):
     function_ids: Optional[Annotated[List[StrictInt], Field(min_length=1)]] = Field(description="Source function IDs to match against the rest of the corpus.")
     min_similarity: Optional[Union[Annotated[float, Field(le=100, strict=True, ge=0)], Annotated[int, Field(le=100, strict=True, ge=0)]]] = Field(default=None, description="Similarity floor as a percentage. Defaults to 90.")
     results_per_function: Optional[Annotated[int, Field(le=30, strict=True, ge=1)]] = Field(default=None, description="Max matches returned per source function. Defaults to 1.")
+    use_canonical_names: Optional[StrictBool] = Field(default=None, description="Collapse near-duplicate candidate names into canonical buckets and return per-name confidences (the response 'confidences' array). Adds a canonicalisation step; defaults to false.")
     additional_properties: Dict[str, Any] = {}
-    __properties: ClassVar[List[str]] = ["filters", "function_ids", "min_similarity", "results_per_function"]
+    __properties: ClassVar[List[str]] = ["filters", "function_ids", "min_similarity", "results_per_function", "use_canonical_names"]
 
     model_config = ConfigDict(
         populate_by_name=True,
@@ -103,7 +104,8 @@ def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
             "filters": MatchFilters.from_dict(obj["filters"]) if obj.get("filters") is not None else None,
             "function_ids": obj.get("function_ids"),
             "min_similarity": obj.get("min_similarity"),
-            "results_per_function": obj.get("results_per_function")
+            "results_per_function": obj.get("results_per_function"),
+            "use_canonical_names": obj.get("use_canonical_names")
         })
         # store additional fields in additional_properties
         for _key in obj.keys():