AnalysisRecordBody.md

AnalysisRecordBody

Properties

Name	Type	Description	Notes
analysis_id	int	Analysis ID
analysis_scope	str	Scope of the analysis
base_address	int	Binary base address
binary_id	int	Binary ID
binary_name	str	Binary filename
binary_size	int	Binary size in bytes
creation	datetime	When the analysis was created
detected_architecture	str	Detected instruction-set architecture; empty when unavailable
detected_binary_format	str	Detected binary container format; empty when unavailable
detected_binary_type	str	Detected operating-system platform; empty when unavailable
function_boundaries_hash	str	Hash of the binary's provided function boundaries
is_owner	bool	True when the caller owns the analysis
model_id	int	Model ID
model_name	str	Model name
sha_256_hash	str	SHA-256 hash of the binary
status	str	Analysis status
supplied_architecture	str	User-supplied instruction-set architecture; "AUTO" when not overridden
supplied_binary_format	str	User-supplied binary container format; "AUTO" when not overridden
supplied_binary_type	str	User-supplied operating-system platform; "AUTO" when not overridden
tags	List[AnalysisTagBody]	Tags associated with the binary
username	str	Username of the analysis owner

Example

from revengai.models.analysis_record_body import AnalysisRecordBody

# TODO update the JSON string below
json = "{}"
# create an instance of AnalysisRecordBody from a JSON string
analysis_record_body_instance = AnalysisRecordBody.from_json(json)
# print the JSON string representation of the object
print(AnalysisRecordBody.to_json())

# convert the object into a dict
analysis_record_body_dict = analysis_record_body_instance.to_dict()
# create an instance of AnalysisRecordBody from a dict
analysis_record_body_from_dict = AnalysisRecordBody.from_dict(analysis_record_body_dict)

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