1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158
|
<html><body>
<style>
body, h1, h2, h3, div, span, p, pre, a {
margin: 0;
padding: 0;
border: 0;
font-weight: inherit;
font-style: inherit;
font-size: 100%;
font-family: inherit;
vertical-align: baseline;
}
body {
font-size: 13px;
padding: 1em;
}
h1 {
font-size: 26px;
margin-bottom: 1em;
}
h2 {
font-size: 24px;
margin-bottom: 1em;
}
h3 {
font-size: 20px;
margin-bottom: 1em;
margin-top: 1em;
}
pre, code {
line-height: 1.5;
font-family: Monaco, 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Lucida Console', monospace;
}
pre {
margin-top: 0.5em;
}
h1, h2, h3, p {
font-family: Arial, sans serif;
}
h1, h2, h3 {
border-bottom: solid #CCC 1px;
}
.toc_element {
margin-top: 0.5em;
}
.firstline {
margin-left: 2 em;
}
.method {
margin-top: 1em;
border: solid 1px #CCC;
padding: 1em;
background: #EEE;
}
.details {
font-weight: bold;
font-size: 14px;
}
</style>
<h1><a href="adexchangebuyer2_v2beta1.html">Ad Exchange Buyer API II</a> . <a href="adexchangebuyer2_v2beta1.bidders.html">bidders</a> . <a href="adexchangebuyer2_v2beta1.bidders.filterSets.html">filterSets</a> . <a href="adexchangebuyer2_v2beta1.bidders.filterSets.impressionMetrics.html">impressionMetrics</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
<code><a href="#close">close()</a></code></p>
<p class="firstline">Close httplib2 connections.</p>
<p class="toc_element">
<code><a href="#list">list(filterSetName, pageSize=None, pageToken=None, x__xgafv=None)</a></code></p>
<p class="firstline">Lists all metrics that are measured in terms of number of impressions.</p>
<p class="toc_element">
<code><a href="#list_next">list_next()</a></code></p>
<p class="firstline">Retrieves the next page of results.</p>
<h3>Method Details</h3>
<div class="method">
<code class="details" id="close">close()</code>
<pre>Close httplib2 connections.</pre>
</div>
<div class="method">
<code class="details" id="list">list(filterSetName, pageSize=None, pageToken=None, x__xgafv=None)</code>
<pre>Lists all metrics that are measured in terms of number of impressions.
Args:
filterSetName: string, Name of the filter set that should be applied to the requested metrics. For example: - For a bidder-level filter set for bidder 123: `bidders/123/filterSets/abc` - For an account-level filter set for the buyer account representing bidder 123: `bidders/123/accounts/123/filterSets/abc` - For an account-level filter set for the child seat buyer account 456 whose bidder is 123: `bidders/123/accounts/456/filterSets/abc` (required)
pageSize: integer, Requested page size. The server may return fewer results than requested. If unspecified, the server will pick an appropriate default.
pageToken: string, A token identifying a page of results the server should return. Typically, this is the value of ListImpressionMetricsResponse.nextPageToken returned from the previous call to the impressionMetrics.list method.
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format
Returns:
An object of the form:
{ # Response message for listing the metrics that are measured in number of impressions.
"impressionMetricsRows": [ # List of rows, each containing a set of impression metrics.
{ # The set of metrics that are measured in numbers of impressions, representing how many impressions with the specified dimension values were considered eligible at each stage of the bidding funnel.
"availableImpressions": { # A metric value, with an expected value and a variance; represents a count that may be either exact or estimated (for example, when sampled). # The number of impressions available to the buyer on Ad Exchange. In some cases this value may be unavailable.
"value": "A String", # The expected value of the metric.
"variance": "A String", # The variance (for example, square of the standard deviation) of the metric value. If value is exact, variance is 0. Can be used to calculate margin of error as a percentage of value, using the following formula, where Z is the standard constant that depends on the preferred size of the confidence interval (for example, for 90% confidence interval, use Z = 1.645): marginOfError = 100 * Z * sqrt(variance) / value
},
"bidRequests": { # A metric value, with an expected value and a variance; represents a count that may be either exact or estimated (for example, when sampled). # The number of impressions for which Ad Exchange sent the buyer a bid request.
"value": "A String", # The expected value of the metric.
"variance": "A String", # The variance (for example, square of the standard deviation) of the metric value. If value is exact, variance is 0. Can be used to calculate margin of error as a percentage of value, using the following formula, where Z is the standard constant that depends on the preferred size of the confidence interval (for example, for 90% confidence interval, use Z = 1.645): marginOfError = 100 * Z * sqrt(variance) / value
},
"inventoryMatches": { # A metric value, with an expected value and a variance; represents a count that may be either exact or estimated (for example, when sampled). # The number of impressions that match the buyer's inventory pretargeting.
"value": "A String", # The expected value of the metric.
"variance": "A String", # The variance (for example, square of the standard deviation) of the metric value. If value is exact, variance is 0. Can be used to calculate margin of error as a percentage of value, using the following formula, where Z is the standard constant that depends on the preferred size of the confidence interval (for example, for 90% confidence interval, use Z = 1.645): marginOfError = 100 * Z * sqrt(variance) / value
},
"responsesWithBids": { # A metric value, with an expected value and a variance; represents a count that may be either exact or estimated (for example, when sampled). # The number of impressions for which Ad Exchange received a response from the buyer that contained at least one applicable bid.
"value": "A String", # The expected value of the metric.
"variance": "A String", # The variance (for example, square of the standard deviation) of the metric value. If value is exact, variance is 0. Can be used to calculate margin of error as a percentage of value, using the following formula, where Z is the standard constant that depends on the preferred size of the confidence interval (for example, for 90% confidence interval, use Z = 1.645): marginOfError = 100 * Z * sqrt(variance) / value
},
"rowDimensions": { # A response may include multiple rows, breaking down along various dimensions. Encapsulates the values of all dimensions for a given row. # The values of all dimensions associated with metric values in this row.
"publisherIdentifier": "A String", # The publisher identifier for this row, if a breakdown by [BreakdownDimension.PUBLISHER_IDENTIFIER](https://developers.google.com/authorized-buyers/apis/reference/rest/v2beta1/bidders.accounts.filterSets#FilterSet.BreakdownDimension) was requested.
"timeInterval": { # An interval of time, with an absolute start and end. # The time interval that this row represents.
"endTime": "A String", # The timestamp marking the end of the range (exclusive) for which data is included.
"startTime": "A String", # The timestamp marking the start of the range (inclusive) for which data is included.
},
},
"successfulResponses": { # A metric value, with an expected value and a variance; represents a count that may be either exact or estimated (for example, when sampled). # The number of impressions for which the buyer successfully sent a response to Ad Exchange.
"value": "A String", # The expected value of the metric.
"variance": "A String", # The variance (for example, square of the standard deviation) of the metric value. If value is exact, variance is 0. Can be used to calculate margin of error as a percentage of value, using the following formula, where Z is the standard constant that depends on the preferred size of the confidence interval (for example, for 90% confidence interval, use Z = 1.645): marginOfError = 100 * Z * sqrt(variance) / value
},
},
],
"nextPageToken": "A String", # A token to retrieve the next page of results. Pass this value in the ListImpressionMetricsRequest.pageToken field in the subsequent call to the impressionMetrics.list method to retrieve the next page of results.
}</pre>
</div>
<div class="method">
<code class="details" id="list_next">list_next()</code>
<pre>Retrieves the next page of results.
Args:
previous_request: The request for the previous page. (required)
previous_response: The response from the request for the previous page. (required)
Returns:
A request object that you can call 'execute()' on to request the next
page. Returns None if there are no more items in the collection.
</pre>
</div>
</body></html>
|