Base handler¶

Base handler

Module realize base class for all handlers.

class luna_handlers.app.handlers.base_handler.BaseHandler(request)[source]¶

Base handler for other handlers.

luna3Client¶

luna3 client

Type: luna3.client.Client

dbContext¶

db context

Type: DBContext

redisContext¶

redis context

Type: RedisContext

checkLivenessEstimationLicensing(estimate)[source]¶

Check liveness estimation licensing :param estimate: liveness estimation status

Raises: VLException(Error.LicenseProblem) if liveness estimation disabled –

checkPolicyLicensing(policies)[source]¶: Check handler policies licensing :param policies: handler policies

convertDetectionTimeToCurrentFormat(detectTime, defaultDetectTime)[source]¶

Convert detection time from UTC or LOCAL to string, considering current STORAGE_TIME

Parameters

detectTime – detection time in ISO format
defaultDetectTime – default time in UTC or LOCAL time zones

Returns

detection time in current format

Return type

str

countLivenessEstimationsPerformed(count)[source]¶: Count liveness estimations performed :param count: estimation count

async downloadBodySample(sampleId)[source]¶

Download body sample by id

Parameters: sampleId – sample id
Returns: sdk body warp
Return type: HumanWarp

async downloadFaceSample(sampleId)[source]¶

Download face sample by id

Parameters: sampleId – sample id
Returns: sdk face warp
Return type: FaceWarp

handleMonitoringData(monitoringData)[source]¶: Handle monitoring data. :param monitoringData: monitoring data

static loadDataFromJson(data, model)[source]¶

Load data from json with pydantic :param data: input data :param model: pydantic model

Returns: initialized object
Return type: Any

property sdkLoop: sdk.sdk_loop.task_loop.SDKTaskLoop¶

Get current sdk loop. :returns: sdk loop from warp

Return type: SDKTaskLoop

class luna_handlers.app.handlers.base_handler.BaseHandlerWithMultipart(request)[source]¶

Base handler class for resource with multipart requests availability

abstract async getDataFromMultipart(imageType=ImageType.rawImage)[source]¶

Get data from multipart request :param imageType: image type

Returns: list of Images or list warps and optionally dict with policies (for multipart request with policies)
Return type: Union[Tuple[Union[List[SDKDetectableImage], List[FaceWarp]], Optional[dict]], List[SDKDetectableImage], List[FaceWarp]]

async getDataFromRequest(request, validationModel, imageType, allowRawDescriptors=False)[source]¶

Get images from request body to detect faces. :param request: request :param imageType: imageType :param validationModel: validation model :param allowRawDescriptors: whether raw descriptor mimetypes allowed or not

Returns

list of Images or list warps

Raises

VLException(Error.BadContentType, 400, isCriticalError=False) – if content type of request is wrong
VLException(Error.BadMultipartInput, 400, isCriticalError=False) – if failed to read multipart

Return type

List[Union[SDKDetectableImage, FaceWarp, HumanWarp, RawDescriptorData]]

async getInputEstimationData(request, validationModel, imageType=ImageType.rawImage, autoOrient=True, allowRawDescriptors=False)[source]¶

Get images from request body to detect faces. :param request: request :param imageType: imageType :param validationModel: validation model :param autoOrient: A bool, whether to use orientation from exif. This is a common name among different image tools. :param allowRawDescriptors: whether raw descriptor mimetypes allowed or not

Returns: list of Images or list warps.
Return type: List[Union[SDKDetectableImage, FaceWarp, HumanWarp, RawDescriptorData]]