def _composeMessages()

in benchmarking/reporters/remote_reporter/remote_reporter.py [0:0]

• 50 lines of code
• 14 McCabe index (conditional complexity)

    def _composeMessages(self, content, category):
        logs = []
        meta = content[self.META].copy()
        meta["command"] = meta["command_str"]
        del meta["command_str"]
        base_summary = {}
        self._convertToInt(meta, base_summary, "time")
        self._convertToInt(meta, base_summary, "commit_time")
        self._convertToInt(meta, base_summary, "control_time")
        self._convertToInt(meta, base_summary, "control_commit_time")
        self._convertToInt(meta, base_summary, "regression_direction")

        for item in content[self.DATA]:
            data = content[self.DATA][item]
            new_meta = meta.copy()
            if "type" in data:
                new_meta["type"] = data["type"]
            summary = base_summary.copy()
            if "summary" in data:
                self._updateSummaryData(data["summary"], summary, "")
            if "control_summary" in data:
                self._updateSummaryData(data["control_summary"], summary, "control_")
            if "diff_summary" in data:
                self._updateSummaryData(data["diff_summary"], summary, "diff_")
            if "regressed" in data:
                summary["regressed"] = data["regressed"]
            if "num_runs" in data:
                summary["num_runs"] = data["num_runs"]
            if "unit" in data:
                new_meta["unit"] = data["unit"]
            if "info_string" in data:
                new_meta["info_string"] = data["info_string"]
            # override the default metric if it is specified in the data
            if "metric" in data:
                new_meta["metric"] = data["metric"]
            message = {
                "int": summary,
                "normal": new_meta,
                "normvector": {},
            }
            if "values" in data:
                message["normvector"]["values"] = data["values"]
            if "control_values" in data:
                message["normvector"]["control_values"] = data["control_values"]

            message_string = json.dumps(message, sort_keys=True)
            log = {
                "category": category,
                "message": message_string,
                # This allows double quotes, back slashes, etc.
                # to work correctly.
                "line_escape": False,
            }
            logs.append(log)
        return logs