BatchDiagnostics.md

BatchDiagnostics

Comprehensive batch diagnostics response. Combines batch status, task progress, collection info, and performance insights into a single response for easy frontend rendering.

Properties

Name	Type	Description	Notes
batch_id	str	Batch ID
batch_name	str	Batch name
status	str	Overall batch status
bucket_id	str	Source bucket ID
current_tier	int	Current tier being processed	[optional] [default to 0]
total_tiers	int	Total number of tiers	[optional] [default to 1]
overall_progress	float	Overall progress percentage (0-100)	[optional] [default to 0]
created_at	datetime	When batch was created	[optional]
submitted_at	datetime	When batch was submitted	[optional]
started_at	datetime	When processing started	[optional]
completed_at	datetime	When processing completed	[optional]
duration_seconds	float	Total duration in seconds	[optional]
estimated_completion	datetime	Estimated completion time	[optional]
tiers	List[TierDiagnostic]	Diagnostic info for each tier	[optional]
collections	List[CollectionDiagnostic]	Status of target collections	[optional]
performance_summary	Dict[str, object]	Performance metrics summary (available after completion)	[optional]
insights	List[PerformanceInsight]	Performance insights and recommendations	[optional]
has_failures	bool	Whether batch has any failures	[optional] [default to False]
failed_tier_count	int	Number of failed tiers	[optional] [default to 0]
total_objects	int	Total objects in batch	[optional] [default to 0]
next_actions	List[str]	Recommended next steps for user	[optional]

Example

from mixpeek.models.batch_diagnostics import BatchDiagnostics

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

# convert the object into a dict
batch_diagnostics_dict = batch_diagnostics_instance.to_dict()
# create an instance of BatchDiagnostics from a dict
batch_diagnostics_from_dict = BatchDiagnostics.from_dict(batch_diagnostics_dict)

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