Json response : When reports are requested in json format, the json response structure would be as follows: "header "cube "cube-name-as-per-the-request" "fields "fieldName "Field name as given in the request json" "fieldType "dimfactconstant". Row-N-json cubes The following cubes are available for querying using the custom reports endpoint: performance_stats This cube has performance stats for all levels down to the ad level. It is recommended to use this cube when querying for native ads campaign data. The cube does not include keyword level metrics. Data for both search and native campaigns is provided - you can use the source field to filter for a specific channel. Note that the cube does not include any over delivery spend adjustments which are available in the adjustment_stats cube. Field Type Attributes Description Advertiser id dimension Must be filtered The id of the advertiser. Campaign id dimension Can be filtered The id of the campaign.
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Day, week and Month values should be in yyyy-mm-dd format. Similar to other Gemini api reports, upon successfully submitting a job money request for a custom report, the response will include a token that you will use to poll the jobs status: "errors null, "response "jobId "status "submitted "jobResponse null. Selecting Response format, custom reports are provided in csv format by default but you can choose to receive reports in json format by passing in? ReportFormatjson in the reporting job request. Get job status Call : to query the status of your report request, make a get call to response: The response would be one of the following: 404 Not found: if token is invalid or unknown 200 (with the following fields jobId: the report request. Running The job is running. Failed The job ran but unexpectedly failed. Killed The job was killed, typically due to failure to complete in a timely manner. Completed The job completed successfully. When the job is completed, you will receive a url you will use to download the report data: "errors null, "response "jobId "status "completed "jobResponse "v" job response csv response : Reports in csv format will consist of one header row that lists the field.
The Advertiser id filter must always. No more than 999 values can be specified in the write values list of an in operator. Note that the campaign id filter must always be in to the above list. Regardless of which date field was requested - day, week, or Month - you must alway filter using day. The results will be displayed broken down by the date rollup level that was requested - each row in the report will show the first day of that period. For example, if Month is requested as the date rollup level, then the data will be aggregated for the month, including only the days specified by the filter. So if the day filter is for to, then the total for those two days will be reported in one row with a month value of, indicating the first day of the month.
At least one id field must always be included. It is not possible, for example, to request fact fields to be rolled up to Pricing Type. If you want attributes from a certain dimension to be included in the report, then you must include the dimensions id field in the field list too. For example, if you would like to include keyword Value in a report, then you must also request keyword. Filters : The following are guidelines to working with filters: Each cube has certain fields that can be used to filter the report data - refer to the cube fields section for more details. Advertiser id and day filters are required in every report request. Supported filter operations are, in and between.
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The following are guidelines for working with the fields attribute: Rollup is implicitly defined by the level of the requested dimension fields. For example, if your request includes Ad id smart as the lowest level, all the fact fields will be aggregated to the ad level. A date field must always be included. You can select either day, week or Month as field values, depending on the date rollup you require. The value of the field attribute should be the name of a field in the requested cube. The optional alias attribute allows the field to be renamed.
The value provided in the alias attribute is what will be displayed in the reporting header. You can provide alias and value attributes and no field attribute if you want to add a fixed value column to the report. The order of the fields in the fields list is significant - it determines their order in the generated report. You can only ask for a named field once - requesting duplicate fields will result in an error. All alias names must also be unique and distinct from the other named fields in the report.
How cubes and dimensions work, custom reports allow you to query cubes, which are pre-defined collections of fields that define the context of your report. When you query cubes, you can choose the rollup aggregation level, apply various filters, and select which fields you would like the report to include. All fields within a cube are classified as either Fact or Dimension fields. Fact fields are effectively metrics that can be rolled up and aggregated, while dimension fields provide entity details and metadata. You can use dimensions to request additional entity metadata that is not provided by default in the cube table.
If you want attributes from a certain dimension to be included in the report then you must include the dimensions id field in the field list. For example, if you would like to include Ad Landing url in a report from the performance_stats cube, then the Ad id must also be requested along with the Ad Landing url field. Resource uri m/v2/rest/reports/custom, submit a new job, call : to request a new report, make a post call to /reports/custom with a request body similar to the following: "cube "performance_stats "fields "field "Ad ID", "field "Day", "alias "My dummy column "value ", "field "Impressions", "field. Request json structure, a typical request will include the following attributes: cube : A pre-defined collection of fields. The cube defines the context of your report and controls the fields you can query across. Note that all fields within a cube are classified as either Fact or Dimension fields. Fields : The fields list specifies the fields the report will include.
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Once you have done this, click on the big red. Exclude button at the bottom of the screen. The Originality report should automatically refresh and show you a new score, in this case 98 rather than 100. Overview, custom reports provide a more flexible way to get the data you need. The flow is similar to other Gemini reports: The api writings is asynchronous: Upon submitting a request, a status message is received containing a request token. If the initial response status was not completed, then the client must periodically make additional requests (passing in the request token) to poll the status. Consider the data that you own and poll for downloads at reasonable intervals. Once a report has completed, the status response will contain the url from which the report can be fetched. Important, this is a time-limited url and needs to be downloaded within 6 hours of the report generation.
Locate Originality report. . Click on dream the percentage score of the Originality Report in which you want to exclude sources. . In this example we are choosing a report with a score of 100. On the right hand side of the page, hover your mouse over the source which you wish to exclude and then click on the. Click on the, exclude sources button in the bottom right hand corner of the page. Select sources to Exclude. . Put a tick next to any sources you wish to exclude from the report, as shown in the screenshot. .
consists of 174 q a communities including. Stack overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. How to exclude sources from a turnitin Originality report. Access Control Panel. From your courses, control Panel, expand the, course tools section and click. Locate turnitinuk assignment. . Click on the name of the turnitin Assignment in which you want to exclude sources.
This is also the case where multiple files are submitted by a student within a single activity. The date and time displayed underneath the file above remains the timestamp of when the student submitted their assignment file to moodle - rather than when feedback from Turnitin was received. To view the, originality report, click on the, similarity link next to the link to the file upload (see above). This will launch a new web browser window, taking you to the turnitin the website and the relevant report. Please note that Students will only be able to view similarity scores and originality reports on Assignment activities that were turnitin enabled at the point of creation. For students to view similarity scores and originality reports related to assignment submissions: go to the, assignment activity that they have submitted their assignment. They should then see a link to the file they submitted originally, along with a similarity score listed next to it, as displayed in the image below. If access to the originality report has been enabled, clicking on the. Similarity link above will open a new web browser window.
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Teachers, please note that teachers will only be able to view similarity scores and originality reports on Assignment activities that were turnitin enabled at the point of creation. For further details on this, please see: Getting started with Turnitin. Following student submission of assignment files to moodle, there is no defined time within which the turnitin service will return similarity scores and originality report. However, you should allow up to 48 hours before contacting the e-learning team to report any issues. For teachers to view similarity scores and originality reports related to assignment submissions: go to the, assignment activity that students have submitted assignments. Click on the, view/grade all submissions link towards the top right hand corner of the activity. A list of all assignments submitted will be displayed in tabular format, an example of which is shown below. Similarity score will be displayed next presentation to the file submitted.