netmanaiops / circa Goto Github PK

我想尝试CIRCA在我的数据集上的效果，我在pip中导入了circa包，但是运行readme中给出的example文件报错找不到circa（如附件所示），如果手动将circa放入目录会面临复杂的内部依赖，希望请教一下成功运行CIRCA的方法。

How to generate file params-sim-run.json?

Error while finding module specification for 'circa.graph' (ModuleNotFoundError: No module named 'circa')

When building the image with Dockerfile, it occurs that "Package python3.9 is not available, but is referred to by another package."

However, if I change the python version to python3.10 or python3.11, more issues keep coming up.

@limjcst @lizeyan Thanks for developing this interesting approach and the package. . I have the following question

1. In the below example code taken from CIRCA, there are 6 sample data given for latency, traffic and saturation. What is the sampling time considered per data sample? Is it 60 seconds (1 minute) for each data sample ?
2. Detect time mentioned is : detect_time=240, As my assumption is 60 secs per data sample, Does this mean that in the 4th sample in the example data viz., latency =9, traffic=105, and saturation =6 corresponds to the fault data ? i.e. (60*4 = 240)?
3. What do the lookup_window and the detect_window settings signify?

Kindly clarify and explain. Thanks in advance.

mock_data = { latency: (10, 12, 11, 9, 100, 90), traffic: (100, 110, 90, 105, 200, 150), saturation: (5, 4, 5, 6, 90, 85), } mock_data_with_time: Dict[str, Dict[str, Sequence[Tuple[float, float]]]] = defaultdict( dict ) for node, values in mock_data.items(): mock_data_with_time[node.entity][node.metric] = [ (index * 60, value) for index, value in enumerate(values) ] data = CaseData( # circa.model.data_loader.MemoryDataLoader is derived from # circa.model.data_loader.DataLoader, which manages data with configurations data_loader=MemoryDataLoader(mock_data_with_time), sli=latency, detect_time=240, lookup_window=4, detect_window=2, )

Hi, as I understand, when there is SLI metric violation then we try to find the root cause for that violation. But in my case, circa gives scores for non-parent nodes of the SLI which are not responsible for the change in it. Moreover, changing SLI still gives the same result and scores. Could you please clarify this?

Hi, can the structural graph construction phase be applied to an arbitrary dataset, e.g. if I have a simple dataset with metrics s1, s2, s3, and s1 -> s3, s2 -> s3? I looked at the generation of the simulation dataset and it seems that they are generated randomly, except for the constraint that the first node does not have any children. So

• Could you please guide me through using CIRCA for some arbitrary dataset, if possible.
• Yhy the SLI must not have any children?
• In your example code of basic usage, sli=latency. The code does not have this but latency has errors as its child in the paper so I'm a bit confused.