How to use _init_service_metric_counter method in localstack

Best Python code snippet using localstack_python

metric_aggregator.py

Source:metric_aggregator.py

...117        output += f"<details><summary>{operation_tested/operation_counter*100:.2f}% test coverage</summary>\n\n{tmp}\n</details>\n"118        with open(file_name, "a") as fd:119            fd.write(f"{output}\n")120            output = ""121def _init_service_metric_counter() -> Dict:122    metric_recorder = {}123    from localstack.aws.spec import load_service124    for s, provider in SERVICE_PLUGINS.api_provider_specs.items():125        try:126            service = load_service(s)127            ops = {}128            service_attributes = {"pro": "pro" in provider, "community": "default" in provider}129            ops["service_attributes"] = service_attributes130            for op in service.operation_names:131                attributes = {}132                attributes["invoked"] = 0133                attributes["aws_validated"] = False134                attributes["snapshot"] = False135                if hasattr(service.operation_model(op).input_shape, "members"):136                    params = {}137                    for n in service.operation_model(op).input_shape.members:138                        params[n] = 0139                    attributes["parameters"] = params140                if hasattr(service.operation_model(op), "error_shapes"):141                    exceptions = {}142                    for e in service.operation_model(op).error_shapes:143                        exceptions[e.name] = 0144                    attributes["errors"] = exceptions145                ops[op] = attributes146            metric_recorder[s] = ops147        except Exception:148            LOG.debug(f"cannot load service '{s}'")149    return metric_recorder150def print_usage():151    print("missing argument: directory")152    print("usage: python metric_aggregator.py <dir-to-raw-csv-metric> [amd64|arch64]")153def write_json(file_name: str, metric_dict: dict):154    with open(file_name, "w") as fd:155        fd.write(json.dumps(metric_dict, indent=2, sort_keys=True))156def _print_diff(metric_recorder_internal, metric_recorder_external):157    for key, val in metric_recorder_internal.items():158        for subkey, val in val.items():159            if isinstance(val, dict) and val.get("invoked"):160                if val["invoked"] > 0 and not metric_recorder_external[key][subkey]["invoked"]:161                    print(f"found invocation mismatch: {key}.{subkey}")162def append_row_to_raw_collection(collection_raw_csv_file_name, row, arch):163    with open(collection_raw_csv_file_name, "a") as fd:164        writer = csv.writer(fd)165        row.append(arch)166        writer.writerow(row)167def aggregate_recorded_raw_data(168    base_dir: str, collection_raw_csv: Optional[str] = None, collect_for_arch: Optional[str] = ""169) -> dict:170    pathlist = Path(base_dir).rglob("metric-report-raw-data-*.csv")171    recorded = _init_service_metric_counter()172    for path in pathlist:173        print(f"checking {str(path)}")174        with open(path, "r") as csv_obj:175            csv_dict_reader = csv.reader(csv_obj)176            # skip the header177            next(csv_dict_reader)178            for row in csv_dict_reader:179                if collection_raw_csv:180                    arch = ""181                    if "arm64" in str(path):182                        arch = "arm64"183                    elif "amd64" in str(path):184                        arch = "amd64"185                    # only aggregate all if we did not set a specific target to collect...

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