leonarski_f
64002f1e29
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This is an UNSTABLE release. The release has significant modifications and bug fixes, if things go wrong, it is better to revert to 1.0.0-rc.124. * jfjoch_broker: Significant improvements in TCP image socket, as a viable alternative for ZeroMQ sockets (only a single port on broker side, dynamically change number of writers, acknowledgments for written files) * jfjoch_broker: Delta phi is calculated also for still data in Bragg prediction * jfjoch_broker: Image pusher statistics are accessible via the REST interface * jfjoch_writer: Supports TCP image socket and for these auto-forking option Reviewed-on: #36 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch> Co-committed-by: Filip Leonarski <filip.leonarski@psi.ch>
52 lines
3.1 KiB
Markdown
52 lines
3.1 KiB
Markdown
# MeasurementStatistics
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**file_prefix** | **str** | | [optional]
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**run_number** | **int** | Number of data collection run. This can be either automatically incremented or provided externally for each data collection. | [optional]
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**experiment_group** | **str** | Name of group owning the data (e.g. p-group or proposal number). | [optional]
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**images_expected** | **int** | | [optional]
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**images_collected** | **int** | Images collected by the receiver. This number will be lower than images expected if there were issues with data collection performance. | [optional]
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**images_sent** | **int** | Images sent to the writer. The value does not include images discarded by lossy compression filter and images not forwarded due to full ZeroMQ queue. | [optional]
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**images_written** | **int** | Images successfully written to disk. The value is live updated for TCP/IP socket and direct HDF5 writer, while for ZeroMQ it is only updated at the end of experiment. | [optional]
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**images_discarded_lossy_compression** | **int** | Images discarded by the lossy compression filter | [optional]
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**max_image_number_sent** | **int** | | [optional]
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**collection_efficiency** | **float** | | [optional]
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**compression_ratio** | **float** | | [optional]
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**cancelled** | **bool** | | [optional]
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**max_receiver_delay** | **int** | | [optional]
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**indexing_rate** | **float** | | [optional]
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**detector_width** | **int** | | [optional]
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**detector_height** | **int** | | [optional]
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**detector_pixel_depth** | **int** | | [optional]
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**bkg_estimate** | **float** | | [optional]
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**unit_cell** | **str** | | [optional]
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**error_pixels** | **float** | Moving average of 1000 images counting number of error pixels on the detector | [optional]
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**saturated_pixels** | **float** | Moving average of 1000 images counting number of saturated pixels on the detector | [optional]
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**roi_beam_pixels** | **float** | If there is an ROI defined with name \"beam\", this number will hold moving average of 1000 images for number of valid pixels within this ROI | [optional]
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**roi_beam_sum** | **float** | If there is an ROI defined with name \"beam\", this number will hold moving average of 1000 images for sum of valid pixels within this ROI | [optional]
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## Example
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```python
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from jfjoch_client.models.measurement_statistics import MeasurementStatistics
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# TODO update the JSON string below
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json = "{}"
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# create an instance of MeasurementStatistics from a JSON string
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measurement_statistics_instance = MeasurementStatistics.from_json(json)
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# print the JSON string representation of the object
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print(MeasurementStatistics.to_json())
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# convert the object into a dict
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measurement_statistics_dict = measurement_statistics_instance.to_dict()
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# create an instance of MeasurementStatistics from a dict
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measurement_statistics_from_dict = MeasurementStatistics.from_dict(measurement_statistics_dict)
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```
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[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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