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How to use create_simple_html_report method in localstack

Best Python code snippet using localstack_python
metric_aggregator.py
Source:metric_aggregator.py
...25        else:26            output += f"  {template_not_implemented_html}{e}</input><br/>\n"27    output += "  </details></li>\n"28    return output29def create_simple_html_report(file_name, metrics):30    output = "<html><h1> Metric Collection Report of Integration Tests </h1>\n\n"31    output += "<div><b>Disclaimer</b>: naive calculation of test coverage - if operation is called at least once, it is considered as 'covered'.<br/>\n"32    output += "&#x2728;: aws_validated or using the snapshot fixture<br/>\n"33    output += "&#x1F4F8;: using the snapshot fixture without any skip_snapshot_verify<br/>\n"34    output += "&#x1F6AB;: using the snapshot fixture but uses skip_snapshot_verify<br/></div>\n"35    for service in sorted(metrics.keys()):36        output += f"<h1> {service} </h1>\n<div>\n"37        details = metrics[service]38        if not details["service_attributes"]["pro"]:39            output += "community<br/>\n"40        elif not details["service_attributes"]["community"]:41            output += "pro only<br/>\n"42        else:43            output += "community, and pro features<br/>\n"44        del metrics[service]["service_attributes"]45        output += "</div>\n"46        operation_counter = len(details)47        operation_tested = 048        tmp = ""49        template_aws_validated = '<span title="AWS validated">&#x2728;</span>'50        template_snapshot_verified = '<span title="Snapshot verified">&#x1F4F8;</span>'51        template_snapshot_skipped = '<span title="Snapshot skipped">&#x1F6AB;</span>'52        for operation in sorted(details.keys()):53            op_details = details[operation]54            if op_details.get("invoked", 0) > 0:55                operation_tested += 156                aws_validated = f"{template_aws_validated if op_details.get('aws_validated') or op_details.get('snapshot') else ''}"57                snapshot = f"{template_snapshot_verified if aws_validated and not op_details.get('snapshot_skipped_paths') else template_snapshot_skipped if aws_validated else ''}"58                tmp += f"<p>{template_implemented_html}{operation} {aws_validated} {snapshot}</input>\n"59            else:60                tmp += f"<p>{template_not_implemented_html}{operation}</input>\n"61            tmp += "<ul>"62            if op_details.get("parameters"):63                parameters = op_details.get("parameters")64                if parameters:65                    tmp += _generate_details_block_html("parameters  hit", parameters)66            if op_details.get("errors"):67                tmp += _generate_details_block_html("errors hit", op_details["errors"])68            tmp += "</ul>"69            tmp += "</p>"70        output += f"<p><details><summary>{operation_tested/operation_counter*100:.2f}% test coverage</summary>\n\n{tmp}\n</details></p>\n"71        with open(file_name, "a") as fd:72            fd.write(f"{output}\n")73            output = ""74def _generate_details_block(details_title: str, details: dict) -> str:75    output = f"  <details><summary>{details_title}</summary>\n\n"76    for e, count in details.items():77        if count > 0:78            output += f"  {template_implemented_item}{e}\n"79        else:80            output += f"  {template_not_implemented_item}{e}\n"81    output += "  </details>\n"82    return output83def create_readable_report(file_name: str, metrics: dict):84    output = "# Metric Collection Report of Integration Tests #\n\n"85    output += "**__Disclaimer__**: naive calculation of test coverage - if operation is called at least once, it is considered as 'covered'.\n"86    output += f"{AWS_VALIDATED}: aws_validated or using the snapshot fixture\n"87    output += f"{SNAPSHOT}: using the snapshot fixture without any skip_snapshot_verify\n"88    output += f"{AWS_VALIDATED}: using the snapshot fixture but uses skip_snapshot_verify\n"89    for service in sorted(metrics.keys()):90        output += f"## {service} ##\n"91        details = metrics[service]92        if not details["service_attributes"]["pro"]:93            output += "community\n"94        elif not details["service_attributes"]["community"]:95            output += "pro only\n"96        else:97            output += "community, and pro features\n"98        del metrics[service]["service_attributes"]99        operation_counter = len(details)100        operation_tested = 0101        tmp = ""102        for operation in sorted(details.keys()):103            op_details = details[operation]104            if op_details.get("invoked", 0) > 0:105                operation_tested += 1106                aws_validated = f"{AWS_VALIDATED if op_details.get('aws_validated') or op_details.get('snapshot') else ''}"107                snapshot = f"{SNAPSHOT if aws_validated and not op_details.get('snapshot_skipped_paths') else SNAPSHOT_SKIP_VERIFY if aws_validated else ''}"108                tmp += f"{template_implemented_item}{operation} {aws_validated} {snapshot}\n"109            else:110                tmp += f"{template_not_implemented_item}{operation}\n"111            if op_details.get("parameters"):112                parameters = op_details.get("parameters")113                if parameters:114                    tmp += _generate_details_block("parameters  hit", parameters)115            if op_details.get("errors"):116                tmp += _generate_details_block("errors hit", op_details["errors"])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 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__":...
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