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How to use aggregate_recorded_raw_data method in localstack

Best Python code snippet using localstack_python

metric_aggregator.py

...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 collect186                    if not collect_for_arch:187                        append_row_to_raw_collection(collection_raw_csv, copy.deepcopy(row), arch)188                    elif collect_for_arch in str(path):189                        append_row_to_raw_collection(collection_raw_csv, copy.deepcopy(row), arch)190                metric: Metric = Metric(*row)191                if metric.xfail == "True":192                    print(f"test {metric.node_id} marked as xfail")193                    continue194                if collect_for_arch and collect_for_arch not in str(path):195                    continue196                service = recorded[metric.service]197                ops = service[metric.operation]198                errors = ops.setdefault("errors", {})199                if metric.exception:200                    exception = metric.exception201                    errors[exception] = ops.get(exception, 0) + 1202                elif int(metric.response_code) >= 300:203                    for expected_error in ops.get("errors", {}).keys():204                        if expected_error in metric.response_data:205                            # assume we have a match206                            errors[expected_error] += 1207                            LOG.warning(208                                f"Exception assumed for {metric.service}.{metric.operation}: code {metric.response_code}"209                            )210                            break211                ops["invoked"] += 1212                if metric.snapshot == "True":213                    ops["snapshot"] = True  # TODO snapshot currently includes also "skip_verify"214                    ops["snapshot_skipped_paths"] = metric.snapshot_skipped_paths or ""215                if metric.aws_validated == "True":216                    ops["aws_validated"] = True217                if not metric.parameters:218                    params = ops.setdefault("parameters", {})219                    params["_none_"] = params.get("_none_", 0) + 1220                else:221                    for p in metric.parameters.split(","):222                        ops["parameters"][p] += 1223                test_list = ops.setdefault("tests", [])224                if metric.node_id not in test_list:225                    test_list.append(metric.node_id)226    return recorded227def main():228    if not len(sys.argv) >= 2 or not Path(sys.argv[1]).is_dir():229        print_usage()230        return231    base_dir = sys.argv[1]232    collect_for_arch = ""233    if len(sys.argv) == 3:234        collect_for_arch = sys.argv[2]235        if collect_for_arch not in ("amd64", "arm64"):236            print_usage()237            return238        print(239            f"Set target to '{collect_for_arch}' - will only aggregate for these test results. Raw collection of all files.\n"240        )241    # TODO: removed splitting of internal/external recorded calls, as some pro tests use 'internals' to connect to service242    metrics_path = os.path.join(base_dir, "parity_metrics")243    Path(metrics_path).mkdir(parents=True, exist_ok=True)244    dtime = datetime.datetime.utcnow().strftime("%Y-%m-%d-%H-%M-%s")245    collection_raw_csv = os.path.join(metrics_path, f"raw-collected-data-{dtime}.csv")246    with open(collection_raw_csv, "w") as fd:247        writer = csv.writer(fd)248        header = Metric.RAW_DATA_HEADER.copy()249        header.append("arch")250        writer.writerow(header)251    recorded_metrics = aggregate_recorded_raw_data(base_dir, collection_raw_csv, collect_for_arch)252    write_json(253        os.path.join(254            metrics_path,255            f"metric-report-{dtime}{collect_for_arch}.json",256        ),257        recorded_metrics,258    )259    # filename = os.path.join(metrics_path, f"metric-report-{dtime}{collect_for_arch}.md")260    # create_readable_report(filename, recorded_metrics)261    filename = os.path.join(metrics_path, f"metric-report-{dtime}{collect_for_arch}.html")262    create_simple_html_report(filename, recorded_metrics)263if __name__ == "__main__":...

coverage_docs_utility.py

Source: coverage_docs_utility.py

...179            details = service[row["operation"]]180            if not details["implemented"] and row["is_implemented"] == "True":181                details["implemented"] = True182                details["pro"] = True183    recorded_metrics = aggregate_recorded_raw_data(base_dir=path_to_raw_metrics)184    # create_metric_coverage_docs_internal(185    #     file_name=path_to_raw_metrics + "/metric-coverage_internal.md",186    #     metrics=recorded_metrics,187    #     impl_details=impl_details,188    #     coverage=coverage,189    # )190    create_metric_coverage_docs(191        file_name=path_to_raw_metrics + "/coverage.md",192        metrics=recorded_metrics,193        impl_details=impl_details,194    )195def print_usage():196    print("missing arguments")197    print(...

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