fix: Update InfluxDBFetcher logging and adjust test parameters for analyze endpoint

        LOGGER.debug(f"Processed {len(metrics)} metric records with {len(available_full_cols)} columns")

        LOGGER.debug(f"Extracted {len(metric_values)} metric value records with {len(available_metric_cols)} columns")

        LOGGER.info(f"Response values are: {metric_values} ")

        return {

            'metrics':       metrics,

        self,

        sla_policy: SLAPolicyConfig

    ) -> Dict[str, Any]:

        """

        Fetch performance metrics from InfluxDB.

        Queries InfluxDB for time-series performance data based on the

        SLA policy parameters and device information. The retry decorator

        ensures resilience against transient failures.

        If the initial query returns fewer samples than required by 

        sla_policy.forecast_sample_count, the method will automatically fetch 

        older data with an extended time window until the required 

        sample count is met or max attempts are reached.

        Args:

            sla_policy: The SLA policy configuration containing time window,

                threshold parameters, and required sample count.

        Returns:

            Dictionary containing:

                - 'metrics': List of performance metric records.

                - 'metric_values': List of metric values only.

                - 'timestamp_range': Dictionary with 'start' and 'end'

                    timestamps for the queried data.

        Raises:

            Exception: If InfluxDB is unavailable after all retries,

                or if the query fails.

        """

        if not self.is_connected():

            raise ConnectionError("Unable to connect to InfluxDB")

            "latency_threshold_ms": 0,

            "bandwidth_utilization": 0.0

        },

        "history_window_size_sec":      600,

        "history_window_size_sec":      60,

        "forecast_sample_interval_sec": 5,

        "forecast_sample_count":        120,

        "forecast_sample_count":        50,

    }

    LOGGER.info(f"Sending analyze request with payload: {payload}")