dhis2-devs team mailing list archive

[Morten Olav Hansen <morten@xxxxxxxxx>]

Yes, please report all bugs to jira.dhis2.org (that should be the number
one place to report them anyways, unless you are unsure)

-- 
Morten Olav Hansen
Senior Engineer, DHIS 2
University of Oslo
http://www.dhis2.org

On Tue, Jun 6, 2017 at 6:32 PM, Knut Staring <knutst@xxxxxxxxx> wrote:

> Ok there might be an oversight or a bug. Lars is on holiday this week, but
> you could report it on Jira.
>
> Knut
>
> On Jun 6, 2017 11:31 AM, "Absolom MURAMIRA" <absolom_m@xxxxxxxxx> wrote:
>
>> Thank you Knut.
>>
>> The reason why i asked this was because when i tried to test the new
>> version, i realized that the relationships in tracker had
>> disappeared/broken. I am going to reset it up on my testing server just to
>> make sure that it was not from the database restoration process and get
>> back to you.
>>
>> Thanks.
>>
>> Absolom
>>
>>
>> On Tuesday, June 6, 2017 11:03 AM, Knut Staring <knutst@xxxxxxxxx> wrote:
>>
>>
>> Hello Absolom,
>>
>> Some upgrades do not need any SQL script.
>>
>> Regards,
>> Knut
>>
>> On Tue, Jun 6, 2017 at 8:18 AM, Absolom MURAMIRA <absolom_m@xxxxxxxxx>
>> wrote:
>>
>> Dear Lars,
>>
>> Thank you for the hard work and effort you have invested in this project.
>> One quick question! Is there an upgrade script from v2.26 to v2.27? This is
>> not indicated in the upgrade notes.
>>
>> Thank you.
>>
>> Absolom
>>
>>
>> On Friday, June 2, 2017 1:45 PM, Lars Helge Øverland <lars@xxxxxxxxx>
>> wrote:
>>
>>
>> Hi all,
>>
>> DHIS version 2.27 is out with many new features, apps and improvements.
>>
>> Log in with admin/district on the demo system.
>>
>>
>> ANALYTICS FEATURES
>> ---
>>
>> Period and organisation unit drill-down: The Pivot Table app now
>> supports drill-down (and up) for periods and organisation unit. This means
>> that you can, for example, drill down from yearly periods to quarters,
>> months and weeks inside the pivot table. You can also drill down from the
>> global organisation unit to countries, provinces and facilities.
>>
>> Demo | Screenshot 1 | 2 | Docs
>>
>>
>> Organisation unit levels as columns: When downloading a pivot table with
>> organisation units as rows and the “Show hierarchy” option enabled in the
>> options dialog, each organisation unit level is rendered as a separate
>> column. This is useful for example when you create Excel pivot tables on a
>> local computer.
>>
>> Demo 1 | 2 | Screenshot | Docs
>>
>>
>> Hide empty columns: The Pivot Table app now lets you hide empty columns
>> in the table. You enable this in the Table options dialog.
>>
>> Demo | Screenshot | Docs
>>
>>
>> Legend by data element: In the Pivot Table app, you can now color the
>> table cells according to each data element or indicator individually. You
>> enable this in the Table options dialog by setting legend to “By data item”.
>>
>> Demo | Screenshot | Docs
>>
>>
>> Row and column % in pivots tables: In the Pivot Table app you can now
>> display values as percentages of row total or percentage of column total
>> (instead of the aggregated value). This is useful in order to see the
>> contribution of data elements, categories and organisation units to the
>> total value. You enable this in Table options dialog.
>>
>> Demo | Screenshot | Docs
>>
>>
>> 100% stacked column charts: In the Data Visualizer app you can now
>> display 100% stacked column charts. You enable this in the Chart options
>> dialog.
>>
>> Demo | Screenshot | Docs
>>
>>
>> Cumulative values in line charts: In the Data Visualizer app you can now
>> create line charts with cumulative values. You enable this in the Chart
>> options dialog.
>>
>> Demo | Screenshot | Docs
>>
>>
>> Chart title handling: In the Data Visualizer app you can now control the
>> chart title and subtitle, in terms of hiding or displaying the as well as
>> specifying custom titles. You enable this in the Chart options dialog.
>>
>> Demo | Screenshot | Docs
>>
>>
>> Hide missing values handling: The Data Visualizer app now offers better
>> control over hiding of missing values. You can choose between “Before first
>> value”, “After last value” and “Before first and after last value”. This is
>> useful for example when creating column and bar charts. You enable this in
>> the Chart options dialog.
>>
>> Demo | Screenshot | Docs
>>
>>
>> EPI weeks: The system now supports various weekly period types, with
>> Monday, Wednesday, Thursday, Saturday and Sunday as the first day of the
>> week. Data can be collected through data sets configured to use the desired
>> weekly period type. The analytics engine will attribute weekly data to the
>> month which contains four days or more of the week.
>>
>> Demo | Screenshot | Docs
>>
>>
>> Group set flexibility: Data element groups and organisation unit groups
>> can now be be part of any number of group sets. This allows for increased
>> flexibility in analysis. This change also allows for persisting the “All
>> items” checkbox as part of favorites in analytics apps.
>>
>> Demo | Screenshot | Docs org unit group set | Docs data element group set
>>
>>
>> Attribute option combos in indicators: You can now specify data elements
>> together with attribute option combinations in indicator expressions. This
>> is useful e.g. to compare targets vs results, or the performance of various
>> programs in indicator calculations. UI support is not yet there, attribute
>> option combos can be entered directly in the expression, see the docs.
>>
>> Demo | Screenshot | Docs
>>
>>
>> Reporting rates in indicators: Indicator now allows for specifying
>> reporting rates and actual reports in expressions. This is useful e.g. to
>> adjust for data completeness in performance indicators. UI support is not
>> yet there, reporting rates can be entered directly in the expression, see
>> the docs.
>>
>> Demo 1 | 2 | Screenshot | Docs
>>
>>
>> Favorites and interpretations in event analytics apps: The new,
>> file-based favorite solution has been introduced in the Event Reports and
>> Event Visualizer apps, similar to the solution in for example the Pivot
>> Table app. This means that you can now also create and share
>> interpretations for event reports and event charts.
>>
>> Demo | Screenshot | Docs Event Visualizer app | Docs Event Reports app
>>
>>
>> Program category dimensions in event analytics apps: The Event Reports
>> and Event Visualizer apps let you use program categories and category
>> option group sets as dimensions for tables and charts. This applies for
>> programs with category combinations.
>>
>> Demo 1 | 2 | Screenshot | Docs Event Visualizer app | Docs Event Reports
>> app
>>
>>
>> Multiple legend sets per data element: In Event reports and Event
>> Visualizer apps you can aggregate events by multiple legend sets per data
>> element. This becomes useful e.g. with age groups. You can collect age in
>> years as part of an event and then aggregate into various age groups, i.e.
>> by 10 year intervals or 15 year intervals. This way, data can be collected
>> once and later used to satisfy multiple reporting needs.
>>
>> Demo 1 | 2 | Screenshot 1 | 2 | Docs
>>
>>
>> Program and event status: You can now filter data by program status and
>> event status in the Event Reports and Event Visualizer apps. You can set
>> these filters from the options dialog.
>>
>> Demo | Screenshot | Docs Event Visualizer app | Docs Event Reports app
>>
>>
>> Program stage count in indicators: Program indicators support a variable
>> for counting the number of events for a program stage.
>>
>> Screenshot | Docs
>>
>>
>> Most viewed favorites: Event reports and event visualizer provides links
>> to your most popular favorites on the start page.
>>
>> Demo | Screenshot
>>
>>
>> TRACKER FEATURES
>> ---
>>
>> Program rule improvements: A completely new user interface for managing
>> program rules has been introduced in the Maintenance app. A range of new
>> program rule actions is now supported in the new user interface:
>>
>>
>>    - Assign value. Enables client side calculations.
>>    - Display text. Enables the web client to display text in the
>>    indicator or feedback widgets.
>>    - Display key/value pair. Enables the web client to display a
>>    information box with a title and value in either the indicator or feedback
>>    widgets.
>>    - Make field mandatory. Enables program rules to turn a field
>>    mandatory based on rule expression.
>>
>>
>> Other improvements include the ability to delete and change program rule
>> variables(source fields), and the ability to include one data element in
>> several program rule variables. For all warning and error messages it will
>> now be possible to include a dynamic/calculated part at the end of the
>> static error message.
>>
>> Demo | Screenshot setup | Rule expression | Rule action | Tracker capture
>> | Docs
>>
>>
>> Event programs in Maintenance app: The Maintenance app now supports
>> management of event programs. This includes new UI for creating event
>> programs, organisation unit assignment, sections, custom forms and
>> notifications. The create program screen is designed as wizard where the
>> program can be configured across several steps. Tracker type programs is
>> still located in the old Programs/Attributes app.
>>
>> Demo | Screenshot | Docs
>>
>>
>> Program indicators in Maintenance app: Program indicators can now be
>> managed in the Maintenance app. The new UI lets you create indicators
>> across three steps and provides a simpler way of creating expressions and
>> filters.
>>
>> Demo | Screenshot | Docs
>>
>>
>> Person search order: In the Tracker Capture app, you can now sort the
>> list of tracked entity instances by each column in the search.
>>
>> Demo | Screenshot
>>
>>
>> GENERAL FEATURES
>> ---
>>
>> Sharing dialog: A new dialog for sharing of metadata is now available in
>> the Maintenance app, offering a better and simpler user experience.
>>
>> Demo | Screenshot | Docs
>>
>>
>> Notification modes: Validation rule notifications can now be sent as
>> individual messages or as message summaries. This is useful e.g. when you
>> want to send individual messages for high-priority disease outbreaks, and
>> summaries for low-priority routine data validation errors.
>>
>> Demo | Docs
>>
>>
>> Sliding windows in validation: Validation rules can now calculate data
>> based on sliding time windows. This implies that data is evaluated not
>> just for fixed periods, such as weeks, but also for sliding intervals of
>> the same duration, e.g. Wednesday to Thursday.
>>
>> Demo | Docs
>>
>>
>> Improved password security: The system now provides greater security and
>> control over passwords. This can be enabled under System Settings > Access.
>>
>> - Email notifications can be sent out to users 14 days before their
>> password expires and must be changed.
>> - The minimum number of characters in passwords is configurable and can
>> be between 8 and 14.
>> - Password must contain a mix of at least three characters from the
>> following categories: uppercase, lowercase, numeric and special
>> (non-alphanumeric).
>> - When changing passwords, users cannot use any of the 24 previously used
>> passwords.
>>
>> Screenshot | Docs Users app | Docs System Settings app
>>
>>
>> Cloud storage for resources: Resource (files and links, found in the
>> Reports app > Resources) can now be configured and be backed by a cloud
>> storage provider such as AWS S3. This allows for infinite storage of files.
>> This requires that you’ve configures a cloud store in dhis.conf.
>> Note: if you’ve configured cloud storage in dhis.conf, all files you
>> upload or the files system generates will use cloud storage, not only
>> resources.
>>
>> Demo | Screenshot | Docs | Cloud file store setup docs
>>
>>
>> Improved metadata export: Metadata export with dependencies now supports
>> data element groups and dashboards.
>>
>> Demo | Docs
>>
>>
>> Data store manager: A new app is available which lets you manage the
>> content of the web API data stores. This is helpful when managing apps and
>> external scripts.
>>
>> Demo | Screenshot | Docs
>>
>>
>> SERVER ADMIN FEATURES
>> ---
>>
>> Memcached support: You can now use memcached as an application cache
>> provider. This allows for greater scalability as memcached can be hosted on
>> a separate server off-heap.
>>
>> Docs
>>
>>
>> WEB API FEATURES
>> ---
>>
>> Tracker soft delete: Soft deletion has been introduced for the tracked
>> entity instance and enrollment entities. This gives clients with local
>> databases the opportunity to react on deleted entities.
>>
>> Docs
>>
>>
>> Deleted metadata objects log: Deletion of metadata is now logged and can
>> be queried from a new endpoint /api/deletedObjects. This allows clients
>> with local databases to react on deleted metadata objects.
>>
>> Docs
>>
>>
>> Email sending: A new endpoint for sending email is introduced at
>> /api/email.
>>
>> Docs
>>
>>
>> Min-max data element values: A new endpoint for setting and retrieving
>> min-max data element values is introduced at /api/minMaxDataElements.
>>
>> Docs
>>
>>
>> Lock exceptions: A new endpoint which lets you create, retrieve and
>> remove data set lock exceptions is available at /api/lockExceptions.
>>
>> Docs
>>
>>
>> Event export identifier schemes: The event export resource for now
>> supported identifier schemes, i.e. allows for use of code as well as
>> identifier.
>>
>> Docs
>>
>>
>> RELEASE INFO
>> ---
>>
>> Release Information
>> Link
>> Download release and sample database
>> https://www.dhis2.org/ downloads
>> Documentation and Javadocs
>> https://www.dhis2.org/ documentation
>> Upgrade notes
>> https://www.dhis2.org/227- upgrade
>> Details about each feature on JIRA
>> https://jira.dhis2.org/issues/ ?filter=10257
>> Overview of fixed issues
>> https://jira.dhis2.org/issues/ ?filter=10418
>> Source code on Github
>> https://github.com/dhis2
>> Demo instance
>> https://play.dhis2.org/demo
>> Instructions for signing up for DHIS 2 mailing lists
>> https://www.dhis2.org/contact
>>
>>
>>
>>
>> Enjoy the new release.
>>
>> Best regards,
>>
>> The DHIS2 development team
>>
>>
>>
>>
>>
>>
>>
>>
>> --
>> Lars Helge Øverland
>> Lead developer, DHIS 2
>> University of Oslo
>> Skype: larshelgeoverland
>> lars@xxxxxxxxx
>> http://www.dhis2.org
>>
>> ______________________________ _________________
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>>
>>
>>
>> ______________________________ _________________
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>> Post to     : dhis2-devs@xxxxxxxxxxxxxxxxxxx
>> Unsubscribe : https://launchpad.net/~dhis2- devs
>> More help   : https://help.launchpad.net/ ListHelp
>>
>>
>>
>>
>> --
>> Knut Staring
>> Dept. of Informatics, University of Oslo
>> Norway: +4791880522 <+47%20918%2080%20522>
>> Skype: knutstar
>> http://dhis2.org
>>
>>
>>
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