Dear Morten, I hope JIRA is active again now. I have reported a number of issues but got no response / feedback yet.
Timothy On Tue, Jun 6, 2017 at 3:52 PM, Morten Olav Hansen <mor...@dhis2.org> wrote: > 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 <knu...@gmail.com> 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" <absolo...@yahoo.com> 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 <knu...@gmail.com> >>> wrote: >>> >>> >>> Hello Absolom, >>> >>> Some upgrades do not need any SQL script. >>> >>> Regards, >>> Knut >>> >>> On Tue, Jun 6, 2017 at 8:18 AM, Absolom MURAMIRA <absolo...@yahoo.com> >>> 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 <l...@dhis2.org> >>> 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 >>> l...@dhis2.org >>> http://www.dhis2.org >>> >>> ______________________________ _________________ >>> Mailing list: https://launchpad.net/~dhis2- users >>> Post to : dhis2-users@lists.launchpad. net >>> Unsubscribe : https://launchpad.net/~dhis2- users >>> More help : https://help.launchpad.net/ ListHelp >>> >>> >>> >>> ______________________________ _________________ >>> Mailing list: https://launchpad.net/~dhis2- devs >>> Post to : dhis2-d...@lists.launchpad.net >>> 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 >>> >>> >>> >> _______________________________________________ >> Mailing list: https://launchpad.net/~dhis2-devs >> Post to : dhis2-d...@lists.launchpad.net >> Unsubscribe : https://launchpad.net/~dhis2-devs >> More help : https://help.launchpad.net/ListHelp >> >> > > _______________________________________________ > Mailing list: https://launchpad.net/~dhis2-users > Post to : dhis2-users@lists.launchpad.net > Unsubscribe : https://launchpad.net/~dhis2-users > More help : https://help.launchpad.net/ListHelp > >
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