Python domain model classes for the MythX platform
Project description
The MythX Domain Models
This repository contains the domain models for the MythX smart contract security analysis platform.
What is MythX?
MythX is a security analysis API that allows anyone to create purpose-built security tools for smart contract developers. Tools built on MythX integrate seamlessly into the development environments and continuous integration pipelines used throughout the Ethereum ecosystem.
Installation
The MythX domain models runs on Python 3.5+.
To get started, simply run
$ pip3 install mythx-models
Alternatively, clone the repository and run
$ pip3 install .
Or directly through Python’s setuptools
:
$ python3 setup.py install
History
1.5.1 (2019-10-31)
Fix bug where new API field would raise a TypeError
Update
pytest
to 5.2.2Update
sphinx
to 2.2.1
1.5.0 (2019-10-19)
Added support to group_id in models
Update
pytest
to 5.2.1Update
pytest-cov
to 2.8.1
1.4.1 (2019-10-04)
Add fix for edge case where decoded locations are empty but still given
1.4.0 (2019-10-04)
Update pytest from 5.1.2 to 5.2.0
Add support for decoded locations
1.3.4 + 1.3.5 (2019-09-19)
Lift
jsonschema
dependency even more for broad support
1.3.3 (2019-09-15)
Update twine from 1.13.0 to 1.14.0
Take over
jsonschema
dependency to support web3py
1.3.2 (2019-09-06)
Update pytest from 5.1.1 to 5.1.2
Add models to fetch analysis input data
1.3.1 (2019-08-30)
Add info field to analysis status model
1.3.0 (2019-08-29)
Allow null values in submission request and issues response models
1.2.0 (2019-08-29)
Added models for source map representation (including source map decompression)
1.1.0 (2019-08-27)
Removed the minimum size limit for a detected issue report list
Added an
as_list
option to the detected issue response model to support non-object input
1.0.0 (2019-08-26)
Added all models originally in PythX
Extended models with
BaseModel
classMake issue reports and various submodels JSON serializable
Added documentation to readthedocs.io
Added CI with Travis
Added coverage metrics with codecov
Added packaging pipeline to PyPI
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