Feat/streaming #29
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Feat/streaming #29
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- Added InputConfig and FileInputConfig classes for handling file inputs. - Introduced ZMQInputConfig for ZMQ address configuration. - Refactored output configurations to inherit from FileOutput. - Added ZMQOutput class for handling streaming outputs to ZMQ addresses. - Updated the DarshanAnalyzer to use new input handling methods. - Enhanced DFTracerAnalyzer to support reading from ZMQ streams. - Added utility functions for handling pandas DataFrames and streaming. - Introduced new constants for file and host hashes. - Updated meson.build to include new utility files for pandas and streaming.
- Updated CI configuration to include 'streaming' in pip install dependencies. - Refactored DFAnalyzer to remove unused imports and improve code clarity. - Enhanced the epoch_window_via_dict class in streaming.py to better handle epoch events and added logging for error handling. - Added new tests for epoch window functionality, ensuring proper buffering and emission of events based on epoch.start and epoch.end signals. - Created new end-to-end tests for ZMQ analysis pipeline, validating the integration of streaming with the analyzer. - Removed outdated test_streaming.py and consolidated tests into more relevant files. - Added a tar.gz file containing real trace data for testing purposes.
…ailable for testing
Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #29 +/- ##
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+ Coverage 57.48% 70.87% +13.39%
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Files 26 27 +1
Lines 2164 2414 +250
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+ Hits 1244 1711 +467
+ Misses 920 703 -217 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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… in set_unique_counts
- Updated `test_analyzer_dftracer_read_zmq` to use `dftracer_ai_logging_posix_events` instead of `epoch_posix_events`. - Modified `_test_e2e` in `test_e2e.py` to conditionally add `analyzer.assign_epochs=True` based on the analyzer and preset. - Changed `test_e2e_zmq` to utilize `dftracer_ai_logging_posix_events` for event data. - Introduced a new test file `test_metrics.py` with comprehensive tests for `set_main_metrics`, `set_view_metrics`, and `set_cross_layer_metrics` functions, ensuring proper handling of edge cases and metrics calculations.
…r time, count, and size
…ring "sum" for consistency
…lly for improved clarity and performance
…actions and ensure proper type casting
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