def create(self, job_part_ids: List[int]) -> models.Analysis:
"""Create new analysis.
:param job_part_ids: Target of analysis.
:return: Result of analysis.
"""
return models.Analysis(self._post('analyse/create', {
'jobPart': job_part_ids,
}))
def get(self, analysis_id: int) -> models.Analysis:
"""Call get API.
:param analysis_id: Get analysis of this id.
:return: Result of analysis.
"""
return models.Analysis(self._get('analyse/get', {
'analyse': analysis_id,
}))
def get_by_project(self, project_id: str) -> List[models.Analysis]:
"""List Analyses By Project.
:param project_id: Project ID for which you want to get the analyses.
:return: List of Analyses.
"""
return [
models.Analysis(client) for client in self._get(
'analyse/listByProject', {'project': project_id})
]
def createAnalysis(
self, job_parts: int, callback_url: str=None, **kwargs) -> models.AsynchronousRequest:
"""Create analysis asynchronously.
:param job_parts: Make analysis for these job_part ids.
:param callback_url: Memsource will send a callback when they finish analyzing.
:param kwags: Another non required parameters, you can pass.
"""
res = self._post(
'analyse/create', dict(kwargs, jobPart=job_parts, callbackUrl=callback_url))
return models.AsynchronousRequest(res['asyncRequest']), models.Analysis(res['analyse'])
def create(self, job_part_ids: typing.List[int]) -> models.Analysis:
return models.Analysis(self._post('analyse/create', {
'jobPart': job_part_ids,
}))
def get(self, analysis_id: {'Get analysis of this id', int}) -> models.Analysis:
return models.Analysis(self._get('analyse/get', {
'analyse': analysis_id,
}))