| Title: | An R Client to Retrieve Data from DHIS2 |
|---|---|
| Description: | Provides a user-friendly interface for interacting with the District Health Information Software 2 (DHIS2) instance. It streamlines data retrieval, empowering researchers, analysts, and healthcare professionals to obtain and utilize data efficiently. |
| Authors: | David Kariuki [aut, cre, cph]
|
| Maintainer: | David Kariuki <[email protected]> |
| License: | MIT + file LICENSE |
| Version: | 1.0.5 |
| Built: | 2024-09-26 06:20:06 UTC |
| Source: | CRAN |
Constructs a dimensions expression for analytics queries based on specified property, operator, and values.
analytics_dimension(property, operator, values) operator %.d% values operator %.f% valuesanalytics_dimension(property, operator, values) operator %.d% values operator %.f% values
property |
A character string representing whether its dimension or filter.
It only accepts |
operator |
A character string representing the property to filter on (e.g.,
|
values |
A vector of values or semi-colon separated string items. |
DHIS2 organizes data using multiple dimensions, each with a unique identifier and a set of items that represent specific data points within that dimension.
Data elements (dx): Indicators, data set reporting rate metrics, data element operands, program indicators, program data elements, program attributes, validation rules.
Periods (pe): ISO periods (e.g., 202401) and relative periods (e.g., LAST_WEEK).
Organisation unit hierarchy (ou): Specific health facilities, districts, countries, and keywords for user location or its sub-units.
Category option combinations (co): Category option combo identifiers.
Attribute option combinations (ao): Category option combo identifiers.
Categories: Category option identifiers.
Data element group sets: Data element group identifiers.
Organisation unit group sets: Organisation unit group identifiers.
The infix operator used for filter and dimension includes:
%.d%: Infix operator for constructing dimension filters. Equivalent to
calling analytics_dimension("dimension", ...).
%.f%: Infix operator for constructing filter filters. Equivalent to calling
analytics_dimension("filter", ...).
A spliced list with filter in the format property=operator:value
# Create a dimension for data element "DE_1234" analytics_dimension('dimension', "dx", "DE_1234") # Equivalent to the expression above dx %.d% "DE_1234" # Create a filter dimension for the period of January 2024 pe %.f% "202401" # Create filter dimension for periods "202401" and "202402": analytics_dimension("filter", "pe", c("202401", "202402"))# Create a dimension for data element "DE_1234" analytics_dimension('dimension', "dx", "DE_1234") # Equivalent to the expression above dx %.d% "DE_1234" # Create a filter dimension for the period of January 2024 pe %.f% "202401" # Create filter dimension for periods "202401" and "202402": analytics_dimension("filter", "pe", c("202401", "202402"))
get_analytics() retrieves disaggregated data from DHIS2 analytics tables for a
specified period and data element(s), without performing any aggregation.
get_analytics( ..., return_type = c("uid", "name"), retry = 2, verbosity = 0, timeout = 60 )get_analytics( ..., return_type = c("uid", "name"), retry = 2, verbosity = 0, timeout = 60 )
... |
One or more |
return_type |
Optional argument specifying the return format for identifiers.
defaults to |
retry |
Number of times to retry the API call in case of failure (defaults to 2). |
verbosity |
Level of HTTP information to print during the call:
|
timeout |
Maximum number of seconds to wait for the API response. |
Retrieves data directly from DHIS2 analytics tables.
Allows specifying analytics dimensions, return format for identifiers, retry attempts, and logging verbosity.
A tibble with detailed information
# Clinical Breast Examination data elements # XEX93uLsAm2 = CBE Abnormal # cXe64Yk0QMY = CBE Normal element_id <- c('cXe64Yk0QMY', 'XEX93uLsAm2') # Download data from February 2023 to current date data <- get_analytics(dx %.d% element_id, pe %.d% 'LAST_MONTH') data# Clinical Breast Examination data elements # XEX93uLsAm2 = CBE Abnormal # cXe64Yk0QMY = CBE Normal element_id <- c('cXe64Yk0QMY', 'XEX93uLsAm2') # Download data from February 2023 to current date data <- get_analytics(dx %.d% element_id, pe %.d% 'LAST_MONTH') data
![[Experimental]](data:image/svg+xml;base64,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)
get_analytics_by_level() fetches data from the DHIS2 analytics tables for a
given period and data element(s), without performing any aggregation.
get_analytics_by_level( element_ids, start_date, end_date = NULL, level = 1, org_ids = NULL, ..., call = caller_env() )get_analytics_by_level( element_ids, start_date, end_date = NULL, level = 1, org_ids = NULL, ..., call = caller_env() )
element_ids |
Required vector of data element IDs for which to retrieve data. |
start_date |
Required start date to retrieve data. It is required and in the format |
end_date |
Optional ending date for data retrieval (default is the current date). |
level |
The desired organisation level of data (default: level 1) |
org_ids |
Optional list of organization units IDs to be filtered. |
... |
Other options that can be passed onto DHIS2 API. |
call |
The caller environment. |
Retrieves data directly from DHIS2 analytics tables.
Supports optional arguments for providing organization lists, data elements, and categories.
Allows specifying DHIS2 session objects, retry attempts, and logging verbosity.
A tibble with detailed information, including:
Geographical identifiers (country, subnational, district, facility, depending on level)
Reporting period (month, year, fiscal year)
Data element names
Category options
Reported values
get_organisations_by_level() for getting the organisations units
get_data_elements_with_category_options() for retrieving the data elements
# Clinical Breast Examination data elements # XEX93uLsAm2 = CBE Abnormal # cXe64Yk0QMY = CBE Normal element_id = c('cXe64Yk0QMY', 'XEX93uLsAm2') # Download data from February 2023 to current date data <- get_analytics_by_level(element_ids = element_id, start_date = '2023-02-01') data# Clinical Breast Examination data elements # XEX93uLsAm2 = CBE Abnormal # cXe64Yk0QMY = CBE Normal element_id = c('cXe64Yk0QMY', 'XEX93uLsAm2') # Download data from February 2023 to current date data <- get_analytics_by_level(element_ids = element_id, start_date = '2023-02-01') data
get_data_elements_with_category_options() fetches data elements metadata with the
category options from the DHIS2 API server.
get_data_elements_with_category_options( element_ids, auth = NULL, call = caller_env() )get_data_elements_with_category_options( element_ids, auth = NULL, call = caller_env() )
element_ids |
The data element identifiers whose details being retrieved |
auth |
The authentication object |
call |
The caller environment |
A tibble containing the following columns:
element_id - The unique identifier for the data element.
element - The name of the data element.
category - The category options for the elements
category_id - The unique identifier for the category options
# Fetch the data element metadata for particular element id elements <- get_data_elements_with_category_options('htFuvGJRW1X') elements# Fetch the data element metadata for particular element id elements <- get_data_elements_with_category_options('htFuvGJRW1X') elements
get_data_sets_by_level() fetches the data set reporting metrics. The metric
can be REPORTING_RATE, REPORTING_RATE_ON_TIME, ACTUAL_REPORTS, ACTUAL_REPORTS_ON_TIME, EXPECTED_REPORTS.
get_data_sets_by_level( dataset_ids, start_date, end_date = NULL, level = 1, org_ids = NULL, ..., call = caller_env() )get_data_sets_by_level( dataset_ids, start_date, end_date = NULL, level = 1, org_ids = NULL, ..., call = caller_env() )
dataset_ids |
Required vector of data sets IDs for which to retrieve data. Required. |
start_date |
Optional start date to retrieve data. It is required and in the format |
end_date |
Optional ending date for data retrieval (default is the current date). |
level |
Required desired organisation level of data (default: level 1) . |
org_ids |
Optional list of organization units IDs to be filtered. |
... |
Other options that can be passed onto DHIS2 API. |
call |
The caller environment. |
A tibble with detailed information, including:
Geographical identifiers (country, subnational, district, facility, depending on level)
Reporting period (month, year, fiscal year)
The reporting metric can be REPORTING_RATE, REPORTING_RATE_ON_TIME, ACTUAL_REPORTS, ACTUAL_REPORTS_ON_TIME, EXPECTED_REPORTS.
get_organisations_by_level() for getting the organisations units
get_data_sets() for retrieving the data sets
# The MoH 745 Cancer Screening Program Monthly Summary Form dataset_id = c('WWh5hbCmvND') # Download data from February 2023 to current date data <- get_data_sets_by_level(dataset_ids = dataset_id, start_date = '2023-02-01') data# The MoH 745 Cancer Screening Program Monthly Summary Form dataset_id = c('WWh5hbCmvND') # Download data from February 2023 to current date data <- get_data_sets_by_level(dataset_ids = dataset_id, start_date = '2023-02-01') data
get_metadata retrieves metadata for a specified endpoint of a DHIS2 instance.
get_metadata( endpoint, ..., fields = c("id", "name"), retry = 2, verbosity = 0, timeout = 60, call = caller_env() )get_metadata( endpoint, ..., fields = c("id", "name"), retry = 2, verbosity = 0, timeout = 60, call = caller_env() )
endpoint |
The DHIS2 API endpoint for the metadata of interest
(e.g., |
... |
One or more |
fields |
The specific columns to be returned in the data frame. |
retry |
Number of times to retry the API call in case of failure (defaults to 2). |
verbosity |
Level of HTTP information to print during the call:
|
timeout |
Maximum number of seconds to wait for the DHIS2 API response. |
call |
The caller environment |
A tibble containing the DHIS2 metadata response.
# Get the categories metadata get_metadata('categories') # Get the datasets metadata with fields 'id,name,organisationUnits' and filter # only the datasets with id 'WWh5hbCmvND' get_metadata('dataSets', fields = 'id,name,organisationUnits[id,name,path]', id %.eq% 'WWh5hbCmvND') # Get data elements filtered by dataElementGroups id get_metadata('dataElements', dataElementGroups.id %.eq% 'IXd7DXxZqzL', fields = ':all')# Get the categories metadata get_metadata('categories') # Get the datasets metadata with fields 'id,name,organisationUnits' and filter # only the datasets with id 'WWh5hbCmvND' get_metadata('dataSets', fields = 'id,name,organisationUnits[id,name,path]', id %.eq% 'WWh5hbCmvND') # Get data elements filtered by dataElementGroups id get_metadata('dataElements', dataElementGroups.id %.eq% 'IXd7DXxZqzL', fields = ':all')
get_organisations_by_level() is an experimental function that retrieves
the organisation units along with their parent units.
get_organisations_by_level( level = 1, org_ids = NULL, auth = NULL, call = caller_env() )get_organisations_by_level( level = 1, org_ids = NULL, auth = NULL, call = caller_env() )
level |
An integer specifying the desired organisation level (default level 1). |
org_ids |
Optional. A vector of organisation identifiers whose details are being retrieved. |
auth |
Optional. The authentication object |
call |
The call environment. |
A tibble containing the organisation units and their parent units up to the specified level.
# Fetch all the organisation units metadata organisations <- get_organisations_by_level(level = 2) organisations# Fetch all the organisation units metadata organisations <- get_organisations_by_level(level = 2) organisations
Produces the Configured DHIS2 API Base URI
khis_base_url(auth = NULL)khis_base_url(auth = NULL)
auth |
The AuthCred credentials |
the DHIS2 base URI
## Not run: # Set the credentials khis_cred(username = 'DHIS2 username', password = 'DHIS2 password', base_url = 'https://dhis2-instance/api') # View the DHIS2 instance API expect 'https://dhis2-instance/api' khis_base_url() # Clear credentials khis_cred_clear() ## End(Not run)## Not run: # Set the credentials khis_cred(username = 'DHIS2 username', password = 'DHIS2 password', base_url = 'https://dhis2-instance/api') # View the DHIS2 instance API expect 'https://dhis2-instance/api' khis_base_url() # Clear credentials khis_cred_clear() ## End(Not run)
khis_cred() sets the credentials for accessing a DHIS2 instance.
khis_cred( config_path = NULL, username = NULL, password = NULL, base_url = deprecated() )khis_cred( config_path = NULL, username = NULL, password = NULL, base_url = deprecated() )
config_path |
An optional path to a configuration file containing username and password. This is considered more secure than providing credentials directly in code. |
username |
The DHIS2 username. Only required if configuration file not provided. |
password |
The DHIS2 password. Only required if configuration file not provided. |
base_url |
The base URL of the DHIS2 instance. Only required if configuration file not provided. |
This function allows you to set the credentials for interacting with a DHIS2 server. You can either provide the username and password directly (less secure) or specify a path to a configuration file containing these credentials. Using a configuration file is recommended for improved security as it prevents credentials from being stored directly in your code.
No return value
Other credential functions:
khis_cred_clear(),
khis_has_cred(),
khis_username()
## Not run: # Option 1: Using a configuration file (recommended) # Assuming a configuration file named "credentials.json": khis_cred(config_path = "path/to/credentials.json") # Option 2: Providing credentials directly (less secure) khis_cred(username = "your_username", password = "your_password", base_url='https://dhis2-instance/api') ## End(Not run)## Not run: # Option 1: Using a configuration file (recommended) # Assuming a configuration file named "credentials.json": khis_cred(config_path = "path/to/credentials.json") # Option 2: Providing credentials directly (less secure) khis_cred(username = "your_username", password = "your_password", base_url='https://dhis2-instance/api') ## End(Not run)
Clear the Credentials from Memory
khis_cred_clear()khis_cred_clear()
No return value
Other credential functions:
khis_cred(),
khis_has_cred(),
khis_username()
#khis_cred_clear()#khis_cred_clear()
Are There Credentials on Hand?
khis_has_cred(auth = NULL)khis_has_cred(auth = NULL)
auth |
The AuthCred credentials |
a boolean value indicating if the credentials are available
Other credential functions:
khis_cred(),
khis_cred_clear(),
khis_username()
## Not run: # Set the credentials khis_cred(username = 'DHIS2 username', password = 'DHIS2 password', base_url='https://dhis2-instance/api') # Check if credentials available. Expect TRUE khis_has_cred() # Clear credentials khis_cred_clear() # Check if credentials available. Expect FALSE khis_has_cred() ## End(Not run)## Not run: # Set the credentials khis_cred(username = 'DHIS2 username', password = 'DHIS2 password', base_url='https://dhis2-instance/api') # Check if credentials available. Expect TRUE khis_has_cred() # Clear credentials khis_cred_clear() # Check if credentials available. Expect FALSE khis_has_cred() ## End(Not run)
Produces the Configured Username
khis_username(auth = NULL)khis_username(auth = NULL)
auth |
The AuthCred credentials |
the username of the user credentials
Other credential functions:
khis_cred(),
khis_cred_clear(),
khis_has_cred()
## Not run: # Set the credentials khis_cred(username = 'DHIS2 username', password = 'DHIS2 password', base_url ='https://dhis2-instance/api') # View the username expect 'DHIS2 username' khis_username() # Clear credentials khis_cred_clear() # View the username expect 'NULL' khis_username() ## End(Not run)## Not run: # Set the credentials khis_cred(username = 'DHIS2 username', password = 'DHIS2 password', base_url ='https://dhis2-instance/api') # View the username expect 'DHIS2 username' khis_username() # Clear credentials khis_cred_clear() # View the username expect 'NULL' khis_username() ## End(Not run)
Some aspects of khisr behaviour can be controlled via an option.
with_khis_quiet(code) local_khis_quiet(env = parent.frame())with_khis_quiet(code) local_khis_quiet(env = parent.frame())
code |
Code to execute quietly |
env |
The environment to use for scoping |
No return value, called for side effects
No return value, called for side effects
No return value, called for side effects
The khis_quiet option can be used to suppress messages form khisr. By
default, khisr always messages, i.e. it is not quiet.
set khis_quiet to TRUE to suppress message, by one of these means,
in order of decreasing scope:
Put options(khis_quiet = TRUE) in the start-up file, such as .Rprofile,
or in your R script.
Use local_khis_quiet() to silence khisr in a specific scope.
Use with_khis_quite to run small bit of code silently.
local_khis_quiet and with_khis follow the conventions of the
withr package.
## Not run: # message: "The credentials have been set." khis_cred(username = 'username', password = 'password', base_url = 'https://dhis2-instance/api') # suppress messages for a small amount of code with_khis_quiet( khis_cred(username = 'username', password = 'password', base_url = 'https://dhis2-instance/api') ) ## End(Not run) ## Not run: # message: "The credentials have been set." khis_cred(username = 'username', password = 'password', base_url = 'https://dhis2-instance/api') # suppress messages for a in a specific scope local_khis_quiet() # no message khis_cred(username = 'username', password = 'password', base_url = 'https://dhis2-instance/api') # clear credentials khis_cred_clear() ## End(Not run)## Not run: # message: "The credentials have been set." khis_cred(username = 'username', password = 'password', base_url = 'https://dhis2-instance/api') # suppress messages for a small amount of code with_khis_quiet( khis_cred(username = 'username', password = 'password', base_url = 'https://dhis2-instance/api') ) ## End(Not run) ## Not run: # message: "The credentials have been set." khis_cred(username = 'username', password = 'password', base_url = 'https://dhis2-instance/api') # suppress messages for a in a specific scope local_khis_quiet() # no message khis_cred(username = 'username', password = 'password', base_url = 'https://dhis2-instance/api') # clear credentials khis_cred_clear() ## End(Not run)
Formats a metadata filter to DHIS 2 comparison operators.
metadata_filter(property, operator, values, call = caller_env()) property %.eq% values property %.ieq% values property %.~eq% values property %.ne% values property %.Like% values property %.~Like% values property %.^Like% values property %.~^Like% values property %.Like$% values property %.~Like$% values property %.like% values property %.~like% values property %.^like% values property %.~^like% values property %.like$% values property %.~like$% values property %.gt% values property %.ge% values property %.lt% values property %.le% values property %.token% values property %.~token% values property %.in% values property %.~in% valuesmetadata_filter(property, operator, values, call = caller_env()) property %.eq% values property %.ieq% values property %.~eq% values property %.ne% values property %.Like% values property %.~Like% values property %.^Like% values property %.~^Like% values property %.Like$% values property %.~Like$% values property %.like% values property %.~like% values property %.^like% values property %.~^like% values property %.like$% values property %.~like$% values property %.gt% values property %.ge% values property %.lt% values property %.le% values property %.token% values property %.~token% values property %.in% values property %.~in% values
property |
The property on the metadata you want to filter on |
operator |
The comparison operator you want to perform |
values |
The value to check against |
call |
description |
To filter the metadata there are several filter operations that can be applied to the returned list of metadata. The format of the filter itself is straight-forward and follows the pattern property:operator:value, where property is the property on the metadata you want to filter on, operator is the comparison operator you want to perform and value is the value to check against (not all operators require value). To view the operator see DHIS 2 Operator
%.eq% - Equality
%.ieq% - Case insensitive string, match exact
%.~eq% - Inequality
%.ne% - Inequality
%.Like% - Case sensitive string, match anywhere
%.~Like% - Case sensitive string, not match anywhere
%.^Like% - Case sensitive string, match start
%.~^Like% - Case sensitive string, not match start
%.Like$% - Case sensitive string, match end
%.~Like$% - Case sensitive string, not match end
%.like% - Case insensitive string, match anywhere
%.~like% - Case insensitive string, not match anywhere
%.^like% - Case insensitive string, match start
%.~^like% - Case insensitive string, not match start
%.like$% - Case insensitive string, match end
%.~like$% - Case insensitive string, not match end
%.gt% - Greater than
%.ge% - Greater than or equal
%.lt% - Less than
%.le% - Less than or equal
%.token% - Match on multiple tokens in search property
%.~token% - Not match on multiple tokens in search property
%.in% - Find objects matching 1 or more values
%.~in% - Find objects not matching 1 or more values
A spliced list with filter in the format property:operator:value
# Generate an equality filter id %.eq% 'element_id' # Finding multiple ids 'id' %.in% c('id1', 'id2', 'id3') # Get all data elements which have a data set with id ID1 'dataSetElements.dataSet.id' %.eq% 'ID1' # get data elements which are members of the ANC data element group 'dataElementGroups.id' %.eq% 'qfxEYY9xAl6' # Get data elements which have any option set metadata_filter('optionSet', '!null', NULL)# Generate an equality filter id %.eq% 'element_id' # Finding multiple ids 'id' %.in% c('id1', 'id2', 'id3') # Get all data elements which have a data set with id ID1 'dataSetElements.dataSet.id' %.eq% 'ID1' # get data elements which are members of the ANC data element group 'dataElementGroups.id' %.eq% 'qfxEYY9xAl6' # Get data elements which have any option set metadata_filter('optionSet', '!null', NULL)
These functions simplify retrieving data from specific DHIS2 API endpoints
using get_metadata().
get_categories(...) get_category_combos(...) get_category_option_combos(...) get_category_option_group_sets(...) get_category_option_groups(...) get_category_options(...) get_data_element_group_sets(...) get_data_element_groups(...) get_data_elements(...) get_data_sets(...) get_user_groups(...) get_indicator_group_sets(...) get_indicator_groups(...) get_indicators(...) get_option_group_sets(...) get_option_groups(...) get_option_sets(...) get_options(...) get_organisation_unit_groupsets(...) get_organisation_unit_groups(...) get_organisation_units(...) get_organisation_unit_levels(...) get_dimensions(...) get_period_types(...) get_user_profile()get_categories(...) get_category_combos(...) get_category_option_combos(...) get_category_option_group_sets(...) get_category_option_groups(...) get_category_options(...) get_data_element_group_sets(...) get_data_element_groups(...) get_data_elements(...) get_data_sets(...) get_user_groups(...) get_indicator_group_sets(...) get_indicator_groups(...) get_indicators(...) get_option_group_sets(...) get_option_groups(...) get_option_sets(...) get_options(...) get_organisation_unit_groupsets(...) get_organisation_unit_groups(...) get_organisation_units(...) get_organisation_unit_levels(...) get_dimensions(...) get_period_types(...) get_user_profile()
... |
Arguments passed on to
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A tibble containing the DHIS2 metadata response.
# Get all organisation units get_organisation_units() # Get all data elements get_data_elements() # Get data elements by element ids get_data_elements(id %.in% c('VR7vdS7P0Gb', 'gQro1y7Rsbq')) # Get datasets by name with the word 'MOH 705' get_data_sets(name %.like% 'MOH 705')# Get all organisation units get_organisation_units() # Get all data elements get_data_elements() # Get data elements by element ids get_data_elements(id %.in% c('VR7vdS7P0Gb', 'gQro1y7Rsbq')) # Get datasets by name with the word 'MOH 705' get_data_sets(name %.like% 'MOH 705')