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How to define a CVS project in Krugle
You must create a Krugle Project that will automatically collect the information from your CVS
system that you want to make searchable in Krugle. This process is described below.
To make CVS information searchable in Krugle you will need to (A) create a CVS SCMI Data
Repository and then (B) create a Krugle Project that is based on that Data Repository. Details
for these steps:
Create a CVS SCMI Data Repository
1)
Verify that the CVS SCMI service is running properly
2)
Sign in to the Krugle Administration Console from an internet browser. Enter the
host name URL assigned to Krugle Enterprise during the initial installation
process, with ":8080" appended to the end of the URL as the port address. In the
example below, the base IP address is 192.168.2.188.
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3)
Enter valid administration credentials (i.e. those specified during initial
installation of Krugle Enterprise) to Sign In to Krugle. You will then see the
Status tab of the Administration Console:
4)
Click the Projects tab to go to Projects Summary page:
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5)
Click the Data Repositories option in the left navigation pane. You’ll see the
Data Repositories that are currently defined in your system. These Data
Repositories are database records that contain the information that Krugle needs
to connect to information servers on your network:
6)
To add a Repository in Krugle that will store your CVS information, click the Add
New Data Repository button. You will then see the Data Repository definition
page:
7)
Select SCMI from the Data Repository Type drop down list – as shown below:
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8)
Enter the verified IP address or hostname which the CVS SCMI running on, from
step 1) above:
9)
Click Next button to continue defining the Data Repository:
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10)
Enter a descriptive name for the Data Repository. Unless specifically directed by
Krugle, you won’t need to change the Path, Port or Connection Type fields:
11)
Click Save button to complete the specification of the new Data Repository. You’ll
return to the Data Repositories screen:
This completes the process of creating a Data Repository. In the next section, we’ll create a
Krugle Project that uses this Data Repository to collect the selected data from the repository (all
of it or part of it) – that you want Krugle to search.
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Create a Krugle Project with CVS SCMI Data Repository
A Krugle Project is a definition of the specific data you want Krugle to crawl. A
Krugle Project can contain all of the information from a CVS system or other data
repository (or several repositories), or just a portion of that information.
Additionally, the Krugle Project can be set up to crawl that information once or to
automatically re-crawl and update that information in the future.
This example uses a w3c project in “W3C Public CVS Repository”, which is
accessible to the public at http://dev.w3.org/cvsweb/?only_with_tag=MAIN#dirlist .
To find this project - and the CVS Repository’s authentication information:
Go to http://dev.w3.org/cvsweb/?only_with_tag=MAIN#dirlist and record the CVS
pserver authentication:
Next, click the Go button. Enter w3c in the CVS Root Path entry and click Go
again.
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To create the Krugle Project for this CVS example, we first must navigate to the
Projects Summary page in the Krugle Admin console (see Step 2 above if you’re
currently not signed in to the Admin console):
Next:
1) In Project Summary page, click the Add New Project option located directly
beneath and to the right of the Snapshot Status area:
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2) On the Add/Edit Project page, click the Advanced Setting link:
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3) Enter the Project information requested in the form. Fields marked with an *
are required:
4) Click the Next button after entering the Project metadata into the form. You
will go to the second step of Add/Edit Project page like following picture:
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5) Select the Data Repository type which you created in previous section from
the dropdown list (in the following screen, we are selecting the CVS-SCMI):
6) After selecting the CVS SCMI Type, enter the Location ( as the address to
checkout the repository), the Parameter (login credentials) and Alias fields:
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7) When finished, Click the Add Data Set button:
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8) Click the Finish button to create the Krugle Project. NOTE: this example
uses only one Data Set; multiple Data Sets are supported – but not
demonstrated here.
9) You will be redirected to the Project Summary page where the newly created
project will be displayed:
10) At this point, Krugle will begin to crawl and index your project. After these
steps are successfully completed, you will see a Green check icon in the
Status column for the project:
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This completes the specification of a Krugle Project for CVS data. The
information from the CVS project can now be searched in Krugle.
To search Krugle for the work item issues in the new created project:
● Go to Krugle Search Environment(KSE), point your browser to the URL
shown in the VMware console window when Krugle was installed. In this
example, that URL is http://192.168.2.188:
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● Enter the search term: project:Cvs-w3c-test, where “Cvs-w3c-test” is
the Krugle project name we created in the preceding steps.
● For this term, Krugle will search and list all records in the CVS project: Cvsw3c-test. The results will appear as a list in the Krugle Search Environment
results page:
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●
You can click any file name link (blue text) from the result list to view
details of that result. For example, clicking the “bar” filename from the
preceding list will display that files contents:
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