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/*
 * Copyright 2010-2012 Ning, Inc.
 *
 * Ning licenses this file to you under the Apache License, version 2.0
 * (the "License"); you may not use this file except in compliance with the
 * License.  You may obtain a copy of the License at:
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
 * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.  See the
 * License for the specific language governing permissions and limitations
 * under the License.
 */

package com.ning.billing.meter.api.user;

import java.io.IOException;
import java.io.OutputStream;
import java.util.Collection;
import java.util.Map;

import javax.annotation.Nullable;

import org.joda.time.DateTime;

import com.ning.billing.meter.api.DecimationMode;
import com.ning.billing.meter.api.TimeAggregationMode;
import com.ning.billing.util.callcontext.CallContext;
import com.ning.billing.util.callcontext.TenantContext;

public interface MeterUserApi {

    /**
     * Get usage data for all metrics (given a set of categories) as Json using an accumulating filter.
     * 

* Emulate: select sum(value) from chunks group by source, category, date_trunc('timeAggregationMode', timestamp); * * @param outputStream stream to write the data to * @param timeAggregationMode granularity of the accumulator * @param source source * @param categories categories * @param fromTimestamp earliest timestamp to consider (inclusive) * @param toTimestamp latest timestamp to consider (inclusive) * @param context call context * @throws IOException */ void getUsage(OutputStream outputStream, TimeAggregationMode timeAggregationMode, String source, Collection categories, DateTime fromTimestamp, DateTime toTimestamp, TenantContext context) throws IOException; /** * Get usage data as Json using an accumulating filter. *

* Emulate: select sum(value) from chunks group by source, category, metric, date_trunc('timeAggregationMode', timestamp); * * @param outputStream stream to write the data to * @param timeAggregationMode granularity of the accumulator * @param source source * @param metricsPerCategory mapping of metrics per category * @param fromTimestamp earliest timestamp to consider (inclusive) * @param toTimestamp latest timestamp to consider (inclusive) * @param context call context * @throws IOException generic I/O exception */ void getUsage(OutputStream outputStream, TimeAggregationMode timeAggregationMode, String source, Map> metricsPerCategory, DateTime fromTimestamp, DateTime toTimestamp, TenantContext context) throws IOException; /** * Get usage data as Json using a decimating filter to reduce the number of points * * @param outputStream stream to write the data to * @param decimationMode decimation mode for the decimating filter * @param outputCount number of data point the decimating filter should output, can be null * @param source source * @param metricsPerCategory mapping of metrics per category * @param fromTimestamp earliest timestamp to consider (inclusive) * @param toTimestamp latest timestamp to consider (inclusive) * @param context call context * @throws IOException generic I/O exception */ void getUsage(OutputStream outputStream, DecimationMode decimationMode, @Nullable Integer outputCount, String source, Map> metricsPerCategory, DateTime fromTimestamp, DateTime toTimestamp, TenantContext context) throws IOException; /** * Get usage data for all metrics (given a set of categories) as Json. * * @param outputStream stream to write the data to * @param source source * @param categories categories * @param fromTimestamp earliest timestamp to consider (inclusive) * @param toTimestamp latest timestamp to consider (inclusive) * @param context call context * @throws IOException generic I/O exception */ void getUsage(OutputStream outputStream, String source, Collection categories, DateTime fromTimestamp, DateTime toTimestamp, TenantContext context) throws IOException; /** * Get usage data as Json. * * @param outputStream stream to write the data to * @param source source * @param metricsPerCategory mapping of metrics per category * @param fromTimestamp earliest timestamp to consider (inclusive) * @param toTimestamp latest timestamp to consider (inclusive) * @param context call context * @throws IOException generic I/O exception */ void getUsage(OutputStream outputStream, String source, Map> metricsPerCategory, DateTime fromTimestamp, DateTime toTimestamp, TenantContext context) throws IOException; /** * Shortcut API to record a usage value of "1" for a given category and metric. * * @param source source name for this usage * @param categoryName category name for this usage * @param metricName metric name associated with this category * @param context call context */ public void incrementUsage(String source, String categoryName, String metricName, DateTime timestamp, CallContext context); /** * Shortcut API to record a usage value of "1" for a given category and metric. *

* This will also store an aggregation of all usage data across all metrics for that category. * This is useful if one wants to store fine grained usage information (e.g. number of minutes used per cell phone number), * while keeping a fast access path to the aggregate (e.g. number of minutes used across all cell phone numbers). * * @param source source name for this usage * @param categoryName category name for this usage * @param metricName metric name associated with this category * @param context call context */ public void incrementUsageAndAggregate(String source, String categoryName, String metricName, DateTime timestamp, CallContext context); /** * Fine grained usage API. This is used to record e.g. "X has used 2 credits at 2012/02/04 4:12pm". * * @param source source name for this usage * @param samplesForCategoriesAndMetrics samples per metric and category * @param timestamp timestamp of this usage * @param context tenant context */ public void recordUsage(String source, Map> samplesForCategoriesAndMetrics, DateTime timestamp, CallContext context); }





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