Cette page a été traduite par l'API Cloud Translation.

Colonnes: liste

Répertorie toutes les colonnes pour un type de rapport. Essayer maintenant ou voir un exemple

Demande

Requête HTTP

GET https://www.googleapis.com/analytics/v3/metadata/reportType/columns

Paramètres

Nom du paramètre	Value	Description
Réglages obligatoires
`reportType`	`string`	Type de rapport Valeurs autorisées : `ga`. Où `ga` correspond à l'API Core Reporting.

Corps de la requête

Ne spécifiez pas de corps de requête pour cette méthode.

Réponse

Si la requête aboutit, cette méthode renvoie un corps de réponse présentant la structure suivante :

{
  "kind": "analytics#columns",
  "etag": etag,
  "totalResults": integer,
  "attributeNames": [
    string
  ],
  "items": [
    metadata.columns Resource
  ]
}

Nom de propriété	Value	Description
`kind`	`string`	Type de collection.
`etag`	`etag`	Etag de la collection. Ce champ peut être comparé au dernier ETag de réponse pour vérifier si la réponse a changé.
`totalResults`	`integer`	Nombre total de colonnes renvoyées dans la réponse.
`attributeNames[]`	`list`	Liste des noms d'attributs renvoyés par les colonnes.
`items[]`	`list`	Liste des colonnes pour le type de rapport.

Exemples

Remarque : Les langages de programmation compatibles ne figurent pas tous dans les exemples de code présentés pour cette méthode (consultez la page Bibliothèques clientes pour obtenir la liste des langages compatibles).

Java

Utilise la bibliothèque cliente Java.

/**
 * 1. Execute a Metadata Request
 * An application can request columns data by calling the list method on the Analytics service object.
 * The method requires an reportType parameter that specifies the column data to retrieve.
 * For example, the following code requests columns for the ga report type.
 */

try {
  Columns results = getMetadata(analytics);
  // Success

} catch (GoogleJsonResponseException e) {
  // Catch API specific errors.
  handleApiError(e);
} catch (IOException e) {
  // Catch general parsing network errors.
  e.printStackTrace();
}

/**
 * 2. Print out the Columns data
 * The components of the result can be printed out as follows:
 */

private static Columns getMetadata(Analytics analytics) throws IOException {
  String reportType = "ga";
  return analytics.metadata()
      .columns()
      .list(reportType)
      .execute();
}


private static void printMetadataReport(Columns results) {
  System.out.println("Metadata Response Report");
  printReportInfo(results);
  printAttributes(results.getAttributeNames());
  printColumns(results.getItems());
}


private static void printReportInfo(Columns results) {
  System.out.println("## Metadata Report Info ##");
  System.out.println("Kind: " + results.getKind());
  System.out.println("Etag: " + results.getEtag());
  System.out.println("Total Results: " + results.getTotalResults());
  System.out.println();
}


private static void printAttributes(List<String> attributeNames) {
  System.out.println("## Attribute Names ##");
  for (String attribute : attributeNames) {
    System.out.println(attribute);
  }
}


private static void printColumns(List<Column> columns) {
  System.out.println("## Columns ##");

  for (Column column : columns) {
    System.out.println();
    System.out.println("Column ID: " + column.getId());
    System.out.println("Kind: " + column.getKind());

    Map<String, String> columnAttributes = column.getAttributes();

    for (Map.Entry<String, String> attribute: columnAttributes.entrySet()) {
      System.out.println(attribute.getKey() + ": " + attribute.getValue());
    }
  }
}

PHP

Utilise la bibliothèque cliente PHP.

/**
 * 1. Execute a Metadata Request
 * An application can request columns data by calling the list method on the Analytics service object.
 * The method requires an reportType parameter that specifies the column data to retrieve.
 * For example, the following code requests columns for the ga report type.
 */

try {

  $results = $analytics->metadata_columns->listMetadataColumns('ga');
  // Success

} catch (apiServiceException $e) {
  // Handle API service exceptions.
  $error = $e->getMessage();
}


/**
 * 2. Print out the Columns data
 * The components of the result can be printed out as follows:
 */

function printMetadataReport($results) {
  print '<h1>Metadata Report</h1>';
  printReportInfo($results);
  printAttributes($results);
  printColumns($results);
}


function printReportInfo(&$results) {
  $html = '<h2>Report Info</h2>';
  $html .= <<<HTML
<pre>
Kind                  = {$results->getKind()}
Etag                  = {$results->getEtag()}
Total Results         = {$results->getTotalResults()}
</pre>
HTML;
  print $html;
}


function printAttributes(&$results) {
  $html = '<h2>Attribute Names</h2><ul>';
  $attributes = $results->getAttributeNames();
  foreach ($attributes as $attribute) {
    $html .= '<li>'. $attribute . '</li>';
  }
  $html .= '</ul>';
  print $html;
}


function printColumns(&$results) {
  $columns = $results->getItems();
  if (count($columns) > 0) {
    $html = '<h2>Columns</h2>';
    foreach ($columns as $column) {
      $html .= '<h3>' . $column->getId() . '</h3>';
      $column_attributes = $column->getAttributes();
      foreach ($column_attributes as $name=>$value) {
        $html .= <<<HTML
<pre>
{$name}: {$value}
</pre>
HTML;
      }
    }
  } else {
    $html = '<p>No Results Found.</p>';
  }
  print $html;
}

Python

Utilise la bibliothèque cliente Python.

# 1. Execute a Metadata Request
# An application can request columns data by calling the list method on the Analytics service object.
# The method requires an reportType parameter that specifies the column data to retrieve.
# For example, the following code requests columns for the ga report type.

try:
  results = service.metadata().columns().list(reportType='ga').execute()

except TypeError, error:
  # Handle errors in constructing a query.
  print ('There was an error in constructing your query : %s' % error)

except HttpError, error:
  # Handle API errors.
  print ('Arg, there was an API error : %s : %s' %
         (error.resp.status, error._get_reason()))

# 2. Print out the Columns data
# The components of the result can be printed out as follows:

def print_metadata_report(results):
  print 'Metadata Response Report'
  print_report_info(results)
  print_attributes(results.get('attributeNames'))
  print_columns(results)


def print_report_info(columns):
  print "Metadata Report Info"
  if columns:
    print 'Kind           = %s' % columns.get('kind')
    print 'Etag           = %s' % columns.get('etag')
    print 'Total Results  = %s' % columns.get('totalResults')


def print_attributes(attributes):
  if attributes:
    print 'Attribute Names:'
    for attribute in attributes:
      print attribute

def print_columns(columns_data):
  if columns_data:
    print 'Columns:'

    columns = columns_data.get('items', [])

    for column in columns:
      print
      print '%15s = %35s' % ('Column ID', column.get('id'))
      print '%15s = %35s' % ('Kind', column.get('kind'))

      column_attributes = column.get('attributes', [])

      for name, value in column_attributes.iteritems():
        print '%15s = %35s' % (name, value)

JavaScript

Utilise la bibliothèque cliente JavaScript.

/**
 * 1. Execute a Metadata Request
 * An application can request columns data by calling the list method on the Analytics service object.
 * The method requires an reportType parameter that specifies the column data to retrieve.
 * For example, the following code requests columns for the ga report type.
 */

function makeMetadataRequest() {
  var request = gapi.client.analytics.metadata.columns.list({
      'reportType': 'ga'
  });
  request.execute(renderMetadataReport);
}


/**
 * 2. Print out the Columns data
 * The components of the result can be printed out as follows:
 */

function renderMetadataReport(results) {
  var reportHtml = [];
  reportHtml.push(
      getReportInfo(results),
      getAttributes(results),
      getColumns(results));

  // Renders the results to a DIV element
  document.getElementById('DIV_ID').innerHTML = reportHtml.join('');
}


function getReportInfo(results) {
  var html = [];
  if (results) {
    html.push('<h2>Report Info</h2>');
    html.push('<pre>Kind: ', results.kind, '</pre>');
    html.push('<pre>Etag: ', results.etag, '</pre>');
    html.push('<pre>Total Results: ', results.totalResults, '</pre>');
  }
  return html.join('');
}


function getAttributes(results) {
  var html = [];
  if (results) {
    html.push('<h2>Attribute Names</h2><ul>');
    var attributes = results.attributeNames;

    for (var i = 0, attribute; attribute = attributes[i]; i++) {
      html.push('<li>', attribute, '</li>');
    }
    html.push('</ul>');
  }
  return html.join('');
}

function  getColumns(results) {
  var html = [];
  if (results) {
    var columns = results.items;
    html.push('<h2>Columns</h2>');

    for (var i = 0, column; column = columns[i]; i++) {
      html.push('<h3>', column.id, '</h3>');
      var attributes = column.attributes;
      for (attribute in attributes) {
        html.push('<pre><strong>', attribute, '</strong> : ',
                  attributes[attribute], '</pre>');
      }
    }
  }
  return html.join('');
}

Essayer

Utilisez l'explorateur d'API ci-dessous pour appeler cette méthode sur des données en direct, puis observez la réponse. Vous pouvez également essayer l'explorateur autonome.