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4 changes: 4 additions & 0 deletions CHANGELOG.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,6 +2,10 @@
All notable changes to `dash` will be documented in this file.
This project adheres to [Semantic Versioning](http://semver.org/).

## [0.8.1] - 2020-10-29
### Fixed
- Fixes a minor bug in `setCallbackContext` (described in [#236](https://github.com/plotly/dashR/issues/236)) which prevented pattern-matching callbacks from working properly if one or more `input` statements did not include a selector. [#237](https://github.com/plotly/dashR/pull/237)

## [0.8.0] - 2020-10-27
### Fixed
- Usage of `glue` has been corrected to address [#232](https://github.com/plotly/dashR/issues/232) via [#233](https://github.com/plotly/dashR/pull/233).
Expand Down
2 changes: 1 addition & 1 deletion DESCRIPTION
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
Package: dash
Title: An Interface to the Dash Ecosystem for Authoring Reactive Web Applications
Version: 0.8.0
Version: 0.8.1
Authors@R: c(person("Chris", "Parmer", role = c("aut"), email = "chris@plotly.com"), person("Ryan Patrick", "Kyle", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5829-9867"), email = "ryan@plotly.com"), person("Carson", "Sievert", role = c("aut"), comment = c(ORCID = "0000-0002-4958-2844")), person("Hammad", "Khan", role = c("aut"), comment = c(ORCID = "0000-0003-2479-9841"), email = "hammadkhan@plotly.com"), person(family = "Plotly Technologies", role = "cph"))
Description: A framework for building analytical web applications, Dash offers a pleasant and productive development experience. No JavaScript required.
Depends:
Expand Down
14 changes: 9 additions & 5 deletions R/utils.R
Original file line numberDiff line numberDiff line change
Expand Up@@ -1054,26 +1054,30 @@ setCallbackContext <- function(callback_elements) {
function(x) {
input_id <- splitIdProp(x)[1]
prop <- splitIdProp(x)[2]

# The following conditionals check whether the callback is a pattern-matching callback and if it has been triggered.
if (startsWith(input_id, "{")){
id_match <- vapply(callback_elements$inputs, function(x) {
x <- unlist(x)
any(x[grepl("id.", names(x))] %in% jsonlite::fromJSON(input_id)[[1]])
}, logical(1))[[1]]
} else {
id_match <- vapply(callback_elements$inputs, function(x) x$id %in% input_id, logical(1))
id_match <- vapply(callback_elements$inputs, function(x) {
unlist(x)
any(x$id %in% input_id)}, logical(1))
}

if (startsWith(input_id, "{")){
prop_match <- vapply(callback_elements$inputs, function(x) {
x <- unlist(x)
any(x[names(x) == "property"] %in% prop)
}, logical(1))[[1]]
} else {
prop_match <- vapply(callback_elements$inputs, function(x) x$property %in% prop, logical(1))
prop_match <- vapply(callback_elements$inputs, function(x) {
unlist(x)
any(x$property %in% prop)}, logical(1))
}

if (startsWith(input_id, "{")){
if (length(callback_elements$inputs) == 1 || !is.null(unlist(callback_elements$inputs, recursive = F)$value)) {
value <- sapply(callback_elements$inputs[id_match & prop_match], `[[`, "value")
Expand Down
127 changes: 127 additions & 0 deletions tests/integration/callbacks/test_pattern_matching.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -318,6 +318,120 @@
"""


graphs_app = """
library(dash)
library(dashHtmlComponents)
library(dashCoreComponents)
library(plotly)

df <- read.csv(
file = "https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv",
stringsAsFactor=FALSE,
check.names=FALSE
)

app <- Dash$new()

app$layout(
htmlDiv(
list(
htmlDiv(
list(
dccDropdown(options = lapply(unique(df[,"country"]), function(x) {
list(label = x, value = x)
}),
value = "Canada",
id = "country",
style = list(display = "inline-block",
width = 200)
),
htmlButton(
"add Chart",
id = "add-chart",
n_clicks = 0,
style = list(display = "inline-block")
)
)
),
htmlDiv(id = "container", children=list()),
htmlDiv(id = "output-delay")
)
)
)

create_figure <- function(df, column_x, column_y, country) {
df <- df[which(df[, "country"] == country),]
if (column_x == "year") {
fig <- plot_ly(df, x = df[,column_x], y = df[,column_y], name = column_x, type = "scatter", mode = "lines")
} else {
fig <- plot_ly(df, x = df[,column_x], y = df[,column_y], name = column_x, type = "scatter", mode = "markers")
}
fig <- plotly::layout(fig, plot_bgcolor="lightblue", xaxis = list(title=""),
yaxis = list(title=""), title=list(text=paste(country, column_y, "vs", column_x),
xanchor="right", margin_l=10, margin_r=0, margin_b=30))
return(fig)
}

app$callback(
output = list(
output(id = "container", property = "children"),
output(id = "output-delay", property = "children")
),
params = list(
input(id = "add-chart", property = "n_clicks"),
state(id = "country", property = "value"),
state(id = "container", property = "children")
),
function(n_clicks, country, children) {
default_column_x <- "year"
default_column_y <- "gdpPercap"

new_element <- htmlDiv(
style = list(width = "23%", display = "inline-block", outline = "thin lightgrey solid", padding = 10),
children = list(
dccGraph(
id = list(type = "dynamic-output", index = n_clicks),
style = list(height = 300),
figure = create_figure(df, default_column_x, default_column_y, country)
),
dccDropdown(
id = list(type = "dynamic-dropdown-x", index = n_clicks),
options = lapply(colnames(df), function(x) {
list(label = x, value = x)
}),
value = default_column_x
),
dccDropdown(
id = list(type = "dynamic-dropdown-y", index = n_clicks),
options = lapply(colnames(df), function(x) {
list(label = x, value = x)
}),
value = default_column_y
)
)
)

children <- c(children, list(new_element))
return(list(children, n_clicks))
}
)

app$callback(
output(id = list("index" = MATCH, "type" = "dynamic-output"), property = "figure"),
params = list(
input(id = list("index" = MATCH, "type" = "dynamic-dropdown-x"), property = "value"),
input(id = list("index" = MATCH, "type" = "dynamic-dropdown-y"), property = "value"),
input(id = "country", property = "value")
),
function(column_x, column_y, country) {
return(create_figure(df, column_x, column_y, country))
}
)

app$run_server()
"""


def test_rpmc001_pattern_matching_all(dashr):
dashr.start_server(all_app)
dashr.find_element("#add-filter").click()
Expand DownExpand Up@@ -370,3 +484,16 @@ def test_rpmc004_pattern_matching_todo(dashr):
dashr.find_element("#add").click()
dashr.find_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"done\\"\\}').click()
assert dashr.wait_for_text_to_equal("#totals", "1 of 1 items completed - 100%")


def test_rpmc005_pattern_matching_graphs(dashr):
dashr.start_server(graphs_app)
dashr.select_dcc_dropdown("#country", "Cameroon")

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I often have a statement like dashr.wait_for_text_to_equal initially before selecting anything, and then I have an htmlDiv with some content that renders which I can watch -- just in case there's a slight delay, in my (very limited) experience this seems to help avoid flaky tests, and can also take the place of a sleep statement.

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That sounds good, I'm going to make a small update to it with those elements, then I'll merge it once the final tests pass.

dashr.wait_for_text_to_equal("#output-delay", "0")
dashr.find_element("#add-chart").click()
dashr.wait_for_text_to_equal("#output-delay", "1")
dashr.find_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-output\\"\\}')
dashr.select_dcc_dropdown('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-dropdown-x\\"\\}', "year")
dashr.select_dcc_dropdown('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-dropdown-y\\"\\}', "pop")
dashr.percy_snapshot("r-pmc-graphs")
dashr.wait_for_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-output\\"\\}')
, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Fix setCallbackContext for wildcard and ordinary inputs by HammadTheOne · Pull Request #237 · plotly/dashR · GitHub
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4 changes: 4 additions & 0 deletions CHANGELOG.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,6 +2,10 @@
All notable changes to `dash` will be documented in this file.
This project adheres to [Semantic Versioning](http://semver.org/).

## [0.8.1] - 2020-10-29
### Fixed
- Fixes a minor bug in `setCallbackContext` (described in [#236](https://github.com/plotly/dashR/issues/236)) which prevented pattern-matching callbacks from working properly if one or more `input` statements did not include a selector. [#237](https://github.com/plotly/dashR/pull/237)

## [0.8.0] - 2020-10-27
### Fixed
- Usage of `glue` has been corrected to address [#232](https://github.com/plotly/dashR/issues/232) via [#233](https://github.com/plotly/dashR/pull/233).
Expand Down
2 changes: 1 addition & 1 deletion DESCRIPTION
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
Package: dash
Title: An Interface to the Dash Ecosystem for Authoring Reactive Web Applications
Version: 0.8.0
Version: 0.8.1
Authors@R: c(person("Chris", "Parmer", role = c("aut"), email = "chris@plotly.com"), person("Ryan Patrick", "Kyle", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5829-9867"), email = "ryan@plotly.com"), person("Carson", "Sievert", role = c("aut"), comment = c(ORCID = "0000-0002-4958-2844")), person("Hammad", "Khan", role = c("aut"), comment = c(ORCID = "0000-0003-2479-9841"), email = "hammadkhan@plotly.com"), person(family = "Plotly Technologies", role = "cph"))
Description: A framework for building analytical web applications, Dash offers a pleasant and productive development experience. No JavaScript required.
Depends:
Expand Down
14 changes: 9 additions & 5 deletions R/utils.R
Original file line numberDiff line numberDiff line change
Expand Up@@ -1054,26 +1054,30 @@ setCallbackContext <- function(callback_elements) {
function(x) {
input_id <- splitIdProp(x)[1]
prop <- splitIdProp(x)[2]

# The following conditionals check whether the callback is a pattern-matching callback and if it has been triggered.
if (startsWith(input_id, "{")){
id_match <- vapply(callback_elements$inputs, function(x) {
x <- unlist(x)
any(x[grepl("id.", names(x))] %in% jsonlite::fromJSON(input_id)[[1]])
}, logical(1))[[1]]
} else {
id_match <- vapply(callback_elements$inputs, function(x) x$id %in% input_id, logical(1))
id_match <- vapply(callback_elements$inputs, function(x) {
unlist(x)
any(x$id %in% input_id)}, logical(1))
}

if (startsWith(input_id, "{")){
prop_match <- vapply(callback_elements$inputs, function(x) {
x <- unlist(x)
any(x[names(x) == "property"] %in% prop)
}, logical(1))[[1]]
} else {
prop_match <- vapply(callback_elements$inputs, function(x) x$property %in% prop, logical(1))
prop_match <- vapply(callback_elements$inputs, function(x) {
unlist(x)
any(x$property %in% prop)}, logical(1))
}

if (startsWith(input_id, "{")){
if (length(callback_elements$inputs) == 1 || !is.null(unlist(callback_elements$inputs, recursive = F)$value)) {
value <- sapply(callback_elements$inputs[id_match & prop_match], `[[`, "value")
Expand Down
127 changes: 127 additions & 0 deletions tests/integration/callbacks/test_pattern_matching.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -318,6 +318,120 @@
"""


graphs_app = """
library(dash)
library(dashHtmlComponents)
library(dashCoreComponents)
library(plotly)

df <- read.csv(
file = "https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv",
stringsAsFactor=FALSE,
check.names=FALSE
)

app <- Dash$new()

app$layout(
htmlDiv(
list(
htmlDiv(
list(
dccDropdown(options = lapply(unique(df[,"country"]), function(x) {
list(label = x, value = x)
}),
value = "Canada",
id = "country",
style = list(display = "inline-block",
width = 200)
),
htmlButton(
"add Chart",
id = "add-chart",
n_clicks = 0,
style = list(display = "inline-block")
)
)
),
htmlDiv(id = "container", children=list()),
htmlDiv(id = "output-delay")
)
)
)

create_figure <- function(df, column_x, column_y, country) {
df <- df[which(df[, "country"] == country),]
if (column_x == "year") {
fig <- plot_ly(df, x = df[,column_x], y = df[,column_y], name = column_x, type = "scatter", mode = "lines")
} else {
fig <- plot_ly(df, x = df[,column_x], y = df[,column_y], name = column_x, type = "scatter", mode = "markers")
}
fig <- plotly::layout(fig, plot_bgcolor="lightblue", xaxis = list(title=""),
yaxis = list(title=""), title=list(text=paste(country, column_y, "vs", column_x),
xanchor="right", margin_l=10, margin_r=0, margin_b=30))
return(fig)
}

app$callback(
output = list(
output(id = "container", property = "children"),
output(id = "output-delay", property = "children")
),
params = list(
input(id = "add-chart", property = "n_clicks"),
state(id = "country", property = "value"),
state(id = "container", property = "children")
),
function(n_clicks, country, children) {
default_column_x <- "year"
default_column_y <- "gdpPercap"

new_element <- htmlDiv(
style = list(width = "23%", display = "inline-block", outline = "thin lightgrey solid", padding = 10),
children = list(
dccGraph(
id = list(type = "dynamic-output", index = n_clicks),
style = list(height = 300),
figure = create_figure(df, default_column_x, default_column_y, country)
),
dccDropdown(
id = list(type = "dynamic-dropdown-x", index = n_clicks),
options = lapply(colnames(df), function(x) {
list(label = x, value = x)
}),
value = default_column_x
),
dccDropdown(
id = list(type = "dynamic-dropdown-y", index = n_clicks),
options = lapply(colnames(df), function(x) {
list(label = x, value = x)
}),
value = default_column_y
)
)
)

children <- c(children, list(new_element))
return(list(children, n_clicks))
}
)

app$callback(
output(id = list("index" = MATCH, "type" = "dynamic-output"), property = "figure"),
params = list(
input(id = list("index" = MATCH, "type" = "dynamic-dropdown-x"), property = "value"),
input(id = list("index" = MATCH, "type" = "dynamic-dropdown-y"), property = "value"),
input(id = "country", property = "value")
),
function(column_x, column_y, country) {
return(create_figure(df, column_x, column_y, country))
}
)

app$run_server()
"""


def test_rpmc001_pattern_matching_all(dashr):
dashr.start_server(all_app)
dashr.find_element("#add-filter").click()
Expand DownExpand Up@@ -370,3 +484,16 @@ def test_rpmc004_pattern_matching_todo(dashr):
dashr.find_element("#add").click()
dashr.find_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"done\\"\\}').click()
assert dashr.wait_for_text_to_equal("#totals", "1 of 1 items completed - 100%")


def test_rpmc005_pattern_matching_graphs(dashr):
dashr.start_server(graphs_app)
dashr.select_dcc_dropdown("#country", "Cameroon")

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I often have a statement like dashr.wait_for_text_to_equal initially before selecting anything, and then I have an htmlDiv with some content that renders which I can watch -- just in case there's a slight delay, in my (very limited) experience this seems to help avoid flaky tests, and can also take the place of a sleep statement.

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ContributorAuthor

Choose a reason for hiding this comment

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That sounds good, I'm going to make a small update to it with those elements, then I'll merge it once the final tests pass.

dashr.wait_for_text_to_equal("#output-delay", "0")
dashr.find_element("#add-chart").click()
dashr.wait_for_text_to_equal("#output-delay", "1")
dashr.find_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-output\\"\\}')
dashr.select_dcc_dropdown('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-dropdown-x\\"\\}', "year")
dashr.select_dcc_dropdown('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-dropdown-y\\"\\}', "pop")
dashr.percy_snapshot("r-pmc-graphs")
dashr.wait_for_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-output\\"\\}')
, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Fix setCallbackContext for wildcard and ordinary inputs by HammadTheOne · Pull Request #237 · plotly/dashR · GitHub
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4 changes: 4 additions & 0 deletions CHANGELOG.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,6 +2,10 @@
All notable changes to `dash` will be documented in this file.
This project adheres to [Semantic Versioning](http://semver.org/).

## [0.8.1] - 2020-10-29
### Fixed
- Fixes a minor bug in `setCallbackContext` (described in [#236](https://github.com/plotly/dashR/issues/236)) which prevented pattern-matching callbacks from working properly if one or more `input` statements did not include a selector. [#237](https://github.com/plotly/dashR/pull/237)

## [0.8.0] - 2020-10-27
### Fixed
- Usage of `glue` has been corrected to address [#232](https://github.com/plotly/dashR/issues/232) via [#233](https://github.com/plotly/dashR/pull/233).
Expand Down
2 changes: 1 addition & 1 deletion DESCRIPTION
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
Package: dash
Title: An Interface to the Dash Ecosystem for Authoring Reactive Web Applications
Version: 0.8.0
Version: 0.8.1
Authors@R: c(person("Chris", "Parmer", role = c("aut"), email = "chris@plotly.com"), person("Ryan Patrick", "Kyle", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5829-9867"), email = "ryan@plotly.com"), person("Carson", "Sievert", role = c("aut"), comment = c(ORCID = "0000-0002-4958-2844")), person("Hammad", "Khan", role = c("aut"), comment = c(ORCID = "0000-0003-2479-9841"), email = "hammadkhan@plotly.com"), person(family = "Plotly Technologies", role = "cph"))
Description: A framework for building analytical web applications, Dash offers a pleasant and productive development experience. No JavaScript required.
Depends:
Expand Down
14 changes: 9 additions & 5 deletions R/utils.R
Original file line numberDiff line numberDiff line change
Expand Up@@ -1054,26 +1054,30 @@ setCallbackContext <- function(callback_elements) {
function(x) {
input_id <- splitIdProp(x)[1]
prop <- splitIdProp(x)[2]

# The following conditionals check whether the callback is a pattern-matching callback and if it has been triggered.
if (startsWith(input_id, "{")){
id_match <- vapply(callback_elements$inputs, function(x) {
x <- unlist(x)
any(x[grepl("id.", names(x))] %in% jsonlite::fromJSON(input_id)[[1]])
}, logical(1))[[1]]
} else {
id_match <- vapply(callback_elements$inputs, function(x) x$id %in% input_id, logical(1))
id_match <- vapply(callback_elements$inputs, function(x) {
unlist(x)
any(x$id %in% input_id)}, logical(1))
}

if (startsWith(input_id, "{")){
prop_match <- vapply(callback_elements$inputs, function(x) {
x <- unlist(x)
any(x[names(x) == "property"] %in% prop)
}, logical(1))[[1]]
} else {
prop_match <- vapply(callback_elements$inputs, function(x) x$property %in% prop, logical(1))
prop_match <- vapply(callback_elements$inputs, function(x) {
unlist(x)
any(x$property %in% prop)}, logical(1))
}

if (startsWith(input_id, "{")){
if (length(callback_elements$inputs) == 1 || !is.null(unlist(callback_elements$inputs, recursive = F)$value)) {
value <- sapply(callback_elements$inputs[id_match & prop_match], `[[`, "value")
Expand Down
127 changes: 127 additions & 0 deletions tests/integration/callbacks/test_pattern_matching.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -318,6 +318,120 @@
"""


graphs_app = """
library(dash)
library(dashHtmlComponents)
library(dashCoreComponents)
library(plotly)

df <- read.csv(
file = "https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv",
stringsAsFactor=FALSE,
check.names=FALSE
)

app <- Dash$new()

app$layout(
htmlDiv(
list(
htmlDiv(
list(
dccDropdown(options = lapply(unique(df[,"country"]), function(x) {
list(label = x, value = x)
}),
value = "Canada",
id = "country",
style = list(display = "inline-block",
width = 200)
),
htmlButton(
"add Chart",
id = "add-chart",
n_clicks = 0,
style = list(display = "inline-block")
)
)
),
htmlDiv(id = "container", children=list()),
htmlDiv(id = "output-delay")
)
)
)

create_figure <- function(df, column_x, column_y, country) {
df <- df[which(df[, "country"] == country),]
if (column_x == "year") {
fig <- plot_ly(df, x = df[,column_x], y = df[,column_y], name = column_x, type = "scatter", mode = "lines")
} else {
fig <- plot_ly(df, x = df[,column_x], y = df[,column_y], name = column_x, type = "scatter", mode = "markers")
}
fig <- plotly::layout(fig, plot_bgcolor="lightblue", xaxis = list(title=""),
yaxis = list(title=""), title=list(text=paste(country, column_y, "vs", column_x),
xanchor="right", margin_l=10, margin_r=0, margin_b=30))
return(fig)
}

app$callback(
output = list(
output(id = "container", property = "children"),
output(id = "output-delay", property = "children")
),
params = list(
input(id = "add-chart", property = "n_clicks"),
state(id = "country", property = "value"),
state(id = "container", property = "children")
),
function(n_clicks, country, children) {
default_column_x <- "year"
default_column_y <- "gdpPercap"

new_element <- htmlDiv(
style = list(width = "23%", display = "inline-block", outline = "thin lightgrey solid", padding = 10),
children = list(
dccGraph(
id = list(type = "dynamic-output", index = n_clicks),
style = list(height = 300),
figure = create_figure(df, default_column_x, default_column_y, country)
),
dccDropdown(
id = list(type = "dynamic-dropdown-x", index = n_clicks),
options = lapply(colnames(df), function(x) {
list(label = x, value = x)
}),
value = default_column_x
),
dccDropdown(
id = list(type = "dynamic-dropdown-y", index = n_clicks),
options = lapply(colnames(df), function(x) {
list(label = x, value = x)
}),
value = default_column_y
)
)
)

children <- c(children, list(new_element))
return(list(children, n_clicks))
}
)

app$callback(
output(id = list("index" = MATCH, "type" = "dynamic-output"), property = "figure"),
params = list(
input(id = list("index" = MATCH, "type" = "dynamic-dropdown-x"), property = "value"),
input(id = list("index" = MATCH, "type" = "dynamic-dropdown-y"), property = "value"),
input(id = "country", property = "value")
),
function(column_x, column_y, country) {
return(create_figure(df, column_x, column_y, country))
}
)

app$run_server()
"""


def test_rpmc001_pattern_matching_all(dashr):
dashr.start_server(all_app)
dashr.find_element("#add-filter").click()
Expand DownExpand Up@@ -370,3 +484,16 @@ def test_rpmc004_pattern_matching_todo(dashr):
dashr.find_element("#add").click()
dashr.find_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"done\\"\\}').click()
assert dashr.wait_for_text_to_equal("#totals", "1 of 1 items completed - 100%")


def test_rpmc005_pattern_matching_graphs(dashr):
dashr.start_server(graphs_app)
dashr.select_dcc_dropdown("#country", "Cameroon")

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I often have a statement like dashr.wait_for_text_to_equal initially before selecting anything, and then I have an htmlDiv with some content that renders which I can watch -- just in case there's a slight delay, in my (very limited) experience this seems to help avoid flaky tests, and can also take the place of a sleep statement.

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That sounds good, I'm going to make a small update to it with those elements, then I'll merge it once the final tests pass.

dashr.wait_for_text_to_equal("#output-delay", "0")
dashr.find_element("#add-chart").click()
dashr.wait_for_text_to_equal("#output-delay", "1")
dashr.find_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-output\\"\\}')
dashr.select_dcc_dropdown('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-dropdown-x\\"\\}', "year")
dashr.select_dcc_dropdown('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-dropdown-y\\"\\}', "pop")
dashr.percy_snapshot("r-pmc-graphs")
dashr.wait_for_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-output\\"\\}')
, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Fix setCallbackContext for wildcard and ordinary inputs by HammadTheOne · Pull Request #237 · plotly/dashR · GitHub
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4 changes: 4 additions & 0 deletions CHANGELOG.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,6 +2,10 @@
All notable changes to `dash` will be documented in this file.
This project adheres to [Semantic Versioning](http://semver.org/).

## [0.8.1] - 2020-10-29
### Fixed
- Fixes a minor bug in `setCallbackContext` (described in [#236](https://github.com/plotly/dashR/issues/236)) which prevented pattern-matching callbacks from working properly if one or more `input` statements did not include a selector. [#237](https://github.com/plotly/dashR/pull/237)

## [0.8.0] - 2020-10-27
### Fixed
- Usage of `glue` has been corrected to address [#232](https://github.com/plotly/dashR/issues/232) via [#233](https://github.com/plotly/dashR/pull/233).
Expand Down
2 changes: 1 addition & 1 deletion DESCRIPTION
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
Package: dash
Title: An Interface to the Dash Ecosystem for Authoring Reactive Web Applications
Version: 0.8.0
Version: 0.8.1
Authors@R: c(person("Chris", "Parmer", role = c("aut"), email = "chris@plotly.com"), person("Ryan Patrick", "Kyle", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5829-9867"), email = "ryan@plotly.com"), person("Carson", "Sievert", role = c("aut"), comment = c(ORCID = "0000-0002-4958-2844")), person("Hammad", "Khan", role = c("aut"), comment = c(ORCID = "0000-0003-2479-9841"), email = "hammadkhan@plotly.com"), person(family = "Plotly Technologies", role = "cph"))
Description: A framework for building analytical web applications, Dash offers a pleasant and productive development experience. No JavaScript required.
Depends:
Expand Down
14 changes: 9 additions & 5 deletions R/utils.R
Original file line numberDiff line numberDiff line change
Expand Up@@ -1054,26 +1054,30 @@ setCallbackContext <- function(callback_elements) {
function(x) {
input_id <- splitIdProp(x)[1]
prop <- splitIdProp(x)[2]

# The following conditionals check whether the callback is a pattern-matching callback and if it has been triggered.
if (startsWith(input_id, "{")){
id_match <- vapply(callback_elements$inputs, function(x) {
x <- unlist(x)
any(x[grepl("id.", names(x))] %in% jsonlite::fromJSON(input_id)[[1]])
}, logical(1))[[1]]
} else {
id_match <- vapply(callback_elements$inputs, function(x) x$id %in% input_id, logical(1))
id_match <- vapply(callback_elements$inputs, function(x) {
unlist(x)
any(x$id %in% input_id)}, logical(1))
}

if (startsWith(input_id, "{")){
prop_match <- vapply(callback_elements$inputs, function(x) {
x <- unlist(x)
any(x[names(x) == "property"] %in% prop)
}, logical(1))[[1]]
} else {
prop_match <- vapply(callback_elements$inputs, function(x) x$property %in% prop, logical(1))
prop_match <- vapply(callback_elements$inputs, function(x) {
unlist(x)
any(x$property %in% prop)}, logical(1))
}

if (startsWith(input_id, "{")){
if (length(callback_elements$inputs) == 1 || !is.null(unlist(callback_elements$inputs, recursive = F)$value)) {
value <- sapply(callback_elements$inputs[id_match & prop_match], `[[`, "value")
Expand Down
127 changes: 127 additions & 0 deletions tests/integration/callbacks/test_pattern_matching.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -318,6 +318,120 @@
"""


graphs_app = """
library(dash)
library(dashHtmlComponents)
library(dashCoreComponents)
library(plotly)

df <- read.csv(
file = "https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv",
stringsAsFactor=FALSE,
check.names=FALSE
)

app <- Dash$new()

app$layout(
htmlDiv(
list(
htmlDiv(
list(
dccDropdown(options = lapply(unique(df[,"country"]), function(x) {
list(label = x, value = x)
}),
value = "Canada",
id = "country",
style = list(display = "inline-block",
width = 200)
),
htmlButton(
"add Chart",
id = "add-chart",
n_clicks = 0,
style = list(display = "inline-block")
)
)
),
htmlDiv(id = "container", children=list()),
htmlDiv(id = "output-delay")
)
)
)

create_figure <- function(df, column_x, column_y, country) {
df <- df[which(df[, "country"] == country),]
if (column_x == "year") {
fig <- plot_ly(df, x = df[,column_x], y = df[,column_y], name = column_x, type = "scatter", mode = "lines")
} else {
fig <- plot_ly(df, x = df[,column_x], y = df[,column_y], name = column_x, type = "scatter", mode = "markers")
}
fig <- plotly::layout(fig, plot_bgcolor="lightblue", xaxis = list(title=""),
yaxis = list(title=""), title=list(text=paste(country, column_y, "vs", column_x),
xanchor="right", margin_l=10, margin_r=0, margin_b=30))
return(fig)
}

app$callback(
output = list(
output(id = "container", property = "children"),
output(id = "output-delay", property = "children")
),
params = list(
input(id = "add-chart", property = "n_clicks"),
state(id = "country", property = "value"),
state(id = "container", property = "children")
),
function(n_clicks, country, children) {
default_column_x <- "year"
default_column_y <- "gdpPercap"

new_element <- htmlDiv(
style = list(width = "23%", display = "inline-block", outline = "thin lightgrey solid", padding = 10),
children = list(
dccGraph(
id = list(type = "dynamic-output", index = n_clicks),
style = list(height = 300),
figure = create_figure(df, default_column_x, default_column_y, country)
),
dccDropdown(
id = list(type = "dynamic-dropdown-x", index = n_clicks),
options = lapply(colnames(df), function(x) {
list(label = x, value = x)
}),
value = default_column_x
),
dccDropdown(
id = list(type = "dynamic-dropdown-y", index = n_clicks),
options = lapply(colnames(df), function(x) {
list(label = x, value = x)
}),
value = default_column_y
)
)
)

children <- c(children, list(new_element))
return(list(children, n_clicks))
}
)

app$callback(
output(id = list("index" = MATCH, "type" = "dynamic-output"), property = "figure"),
params = list(
input(id = list("index" = MATCH, "type" = "dynamic-dropdown-x"), property = "value"),
input(id = list("index" = MATCH, "type" = "dynamic-dropdown-y"), property = "value"),
input(id = "country", property = "value")
),
function(column_x, column_y, country) {
return(create_figure(df, column_x, column_y, country))
}
)

app$run_server()
"""


def test_rpmc001_pattern_matching_all(dashr):
dashr.start_server(all_app)
dashr.find_element("#add-filter").click()
Expand DownExpand Up@@ -370,3 +484,16 @@ def test_rpmc004_pattern_matching_todo(dashr):
dashr.find_element("#add").click()
dashr.find_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"done\\"\\}').click()
assert dashr.wait_for_text_to_equal("#totals", "1 of 1 items completed - 100%")


def test_rpmc005_pattern_matching_graphs(dashr):
dashr.start_server(graphs_app)
dashr.select_dcc_dropdown("#country", "Cameroon")

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I often have a statement like dashr.wait_for_text_to_equal initially before selecting anything, and then I have an htmlDiv with some content that renders which I can watch -- just in case there's a slight delay, in my (very limited) experience this seems to help avoid flaky tests, and can also take the place of a sleep statement.

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ContributorAuthor

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That sounds good, I'm going to make a small update to it with those elements, then I'll merge it once the final tests pass.

dashr.wait_for_text_to_equal("#output-delay", "0")
dashr.find_element("#add-chart").click()
dashr.wait_for_text_to_equal("#output-delay", "1")
dashr.find_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-output\\"\\}')
dashr.select_dcc_dropdown('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-dropdown-x\\"\\}', "year")
dashr.select_dcc_dropdown('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-dropdown-y\\"\\}', "pop")
dashr.percy_snapshot("r-pmc-graphs")
dashr.wait_for_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-output\\"\\}')
, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' Fix setCallbackContext for wildcard and ordinary inputs by HammadTheOne · Pull Request #237 · plotly/dashR · GitHub
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4 changes: 4 additions & 0 deletions CHANGELOG.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,6 +2,10 @@
All notable changes to `dash` will be documented in this file.
This project adheres to [Semantic Versioning](http://semver.org/).

## [0.8.1] - 2020-10-29
### Fixed
- Fixes a minor bug in `setCallbackContext` (described in [#236](https://github.com/plotly/dashR/issues/236)) which prevented pattern-matching callbacks from working properly if one or more `input` statements did not include a selector. [#237](https://github.com/plotly/dashR/pull/237)

## [0.8.0] - 2020-10-27
### Fixed
- Usage of `glue` has been corrected to address [#232](https://github.com/plotly/dashR/issues/232) via [#233](https://github.com/plotly/dashR/pull/233).
Expand Down
2 changes: 1 addition & 1 deletion DESCRIPTION
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
Package: dash
Title: An Interface to the Dash Ecosystem for Authoring Reactive Web Applications
Version: 0.8.0
Version: 0.8.1
Authors@R: c(person("Chris", "Parmer", role = c("aut"), email = "chris@plotly.com"), person("Ryan Patrick", "Kyle", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5829-9867"), email = "ryan@plotly.com"), person("Carson", "Sievert", role = c("aut"), comment = c(ORCID = "0000-0002-4958-2844")), person("Hammad", "Khan", role = c("aut"), comment = c(ORCID = "0000-0003-2479-9841"), email = "hammadkhan@plotly.com"), person(family = "Plotly Technologies", role = "cph"))
Description: A framework for building analytical web applications, Dash offers a pleasant and productive development experience. No JavaScript required.
Depends:
Expand Down
14 changes: 9 additions & 5 deletions R/utils.R
Original file line numberDiff line numberDiff line change
Expand Up@@ -1054,26 +1054,30 @@ setCallbackContext <- function(callback_elements) {
function(x) {
input_id <- splitIdProp(x)[1]
prop <- splitIdProp(x)[2]

# The following conditionals check whether the callback is a pattern-matching callback and if it has been triggered.
if (startsWith(input_id, "{")){
id_match <- vapply(callback_elements$inputs, function(x) {
x <- unlist(x)
any(x[grepl("id.", names(x))] %in% jsonlite::fromJSON(input_id)[[1]])
}, logical(1))[[1]]
} else {
id_match <- vapply(callback_elements$inputs, function(x) x$id %in% input_id, logical(1))
id_match <- vapply(callback_elements$inputs, function(x) {
unlist(x)
any(x$id %in% input_id)}, logical(1))
}

if (startsWith(input_id, "{")){
prop_match <- vapply(callback_elements$inputs, function(x) {
x <- unlist(x)
any(x[names(x) == "property"] %in% prop)
}, logical(1))[[1]]
} else {
prop_match <- vapply(callback_elements$inputs, function(x) x$property %in% prop, logical(1))
prop_match <- vapply(callback_elements$inputs, function(x) {
unlist(x)
any(x$property %in% prop)}, logical(1))
}

if (startsWith(input_id, "{")){
if (length(callback_elements$inputs) == 1 || !is.null(unlist(callback_elements$inputs, recursive = F)$value)) {
value <- sapply(callback_elements$inputs[id_match & prop_match], `[[`, "value")
Expand Down
127 changes: 127 additions & 0 deletions tests/integration/callbacks/test_pattern_matching.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -318,6 +318,120 @@
"""


graphs_app = """
library(dash)
library(dashHtmlComponents)
library(dashCoreComponents)
library(plotly)

df <- read.csv(
file = "https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv",
stringsAsFactor=FALSE,
check.names=FALSE
)

app <- Dash$new()

app$layout(
htmlDiv(
list(
htmlDiv(
list(
dccDropdown(options = lapply(unique(df[,"country"]), function(x) {
list(label = x, value = x)
}),
value = "Canada",
id = "country",
style = list(display = "inline-block",
width = 200)
),
htmlButton(
"add Chart",
id = "add-chart",
n_clicks = 0,
style = list(display = "inline-block")
)
)
),
htmlDiv(id = "container", children=list()),
htmlDiv(id = "output-delay")
)
)
)

create_figure <- function(df, column_x, column_y, country) {
df <- df[which(df[, "country"] == country),]
if (column_x == "year") {
fig <- plot_ly(df, x = df[,column_x], y = df[,column_y], name = column_x, type = "scatter", mode = "lines")
} else {
fig <- plot_ly(df, x = df[,column_x], y = df[,column_y], name = column_x, type = "scatter", mode = "markers")
}
fig <- plotly::layout(fig, plot_bgcolor="lightblue", xaxis = list(title=""),
yaxis = list(title=""), title=list(text=paste(country, column_y, "vs", column_x),
xanchor="right", margin_l=10, margin_r=0, margin_b=30))
return(fig)
}

app$callback(
output = list(
output(id = "container", property = "children"),
output(id = "output-delay", property = "children")
),
params = list(
input(id = "add-chart", property = "n_clicks"),
state(id = "country", property = "value"),
state(id = "container", property = "children")
),
function(n_clicks, country, children) {
default_column_x <- "year"
default_column_y <- "gdpPercap"

new_element <- htmlDiv(
style = list(width = "23%", display = "inline-block", outline = "thin lightgrey solid", padding = 10),
children = list(
dccGraph(
id = list(type = "dynamic-output", index = n_clicks),
style = list(height = 300),
figure = create_figure(df, default_column_x, default_column_y, country)
),
dccDropdown(
id = list(type = "dynamic-dropdown-x", index = n_clicks),
options = lapply(colnames(df), function(x) {
list(label = x, value = x)
}),
value = default_column_x
),
dccDropdown(
id = list(type = "dynamic-dropdown-y", index = n_clicks),
options = lapply(colnames(df), function(x) {
list(label = x, value = x)
}),
value = default_column_y
)
)
)

children <- c(children, list(new_element))
return(list(children, n_clicks))
}
)

app$callback(
output(id = list("index" = MATCH, "type" = "dynamic-output"), property = "figure"),
params = list(
input(id = list("index" = MATCH, "type" = "dynamic-dropdown-x"), property = "value"),
input(id = list("index" = MATCH, "type" = "dynamic-dropdown-y"), property = "value"),
input(id = "country", property = "value")
),
function(column_x, column_y, country) {
return(create_figure(df, column_x, column_y, country))
}
)

app$run_server()
"""


def test_rpmc001_pattern_matching_all(dashr):
dashr.start_server(all_app)
dashr.find_element("#add-filter").click()
Expand DownExpand Up@@ -370,3 +484,16 @@ def test_rpmc004_pattern_matching_todo(dashr):
dashr.find_element("#add").click()
dashr.find_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"done\\"\\}').click()
assert dashr.wait_for_text_to_equal("#totals", "1 of 1 items completed - 100%")


def test_rpmc005_pattern_matching_graphs(dashr):
dashr.start_server(graphs_app)
dashr.select_dcc_dropdown("#country", "Cameroon")

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I often have a statement like dashr.wait_for_text_to_equal initially before selecting anything, and then I have an htmlDiv with some content that renders which I can watch -- just in case there's a slight delay, in my (very limited) experience this seems to help avoid flaky tests, and can also take the place of a sleep statement.

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That sounds good, I'm going to make a small update to it with those elements, then I'll merge it once the final tests pass.

dashr.wait_for_text_to_equal("#output-delay", "0")
dashr.find_element("#add-chart").click()
dashr.wait_for_text_to_equal("#output-delay", "1")
dashr.find_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-output\\"\\}')
dashr.select_dcc_dropdown('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-dropdown-x\\"\\}', "year")
dashr.select_dcc_dropdown('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-dropdown-y\\"\\}', "pop")
dashr.percy_snapshot("r-pmc-graphs")
dashr.wait_for_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-output\\"\\}')
, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' Fix setCallbackContext for wildcard and ordinary inputs by HammadTheOne · Pull Request #237 · plotly/dashR · GitHub
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4 changes: 4 additions & 0 deletions CHANGELOG.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,6 +2,10 @@
All notable changes to `dash` will be documented in this file.
This project adheres to [Semantic Versioning](http://semver.org/).

## [0.8.1] - 2020-10-29
### Fixed
- Fixes a minor bug in `setCallbackContext` (described in [#236](https://github.com/plotly/dashR/issues/236)) which prevented pattern-matching callbacks from working properly if one or more `input` statements did not include a selector. [#237](https://github.com/plotly/dashR/pull/237)

## [0.8.0] - 2020-10-27
### Fixed
- Usage of `glue` has been corrected to address [#232](https://github.com/plotly/dashR/issues/232) via [#233](https://github.com/plotly/dashR/pull/233).
Expand Down
2 changes: 1 addition & 1 deletion DESCRIPTION
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
Package: dash
Title: An Interface to the Dash Ecosystem for Authoring Reactive Web Applications
Version: 0.8.0
Version: 0.8.1
Authors@R: c(person("Chris", "Parmer", role = c("aut"), email = "chris@plotly.com"), person("Ryan Patrick", "Kyle", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5829-9867"), email = "ryan@plotly.com"), person("Carson", "Sievert", role = c("aut"), comment = c(ORCID = "0000-0002-4958-2844")), person("Hammad", "Khan", role = c("aut"), comment = c(ORCID = "0000-0003-2479-9841"), email = "hammadkhan@plotly.com"), person(family = "Plotly Technologies", role = "cph"))
Description: A framework for building analytical web applications, Dash offers a pleasant and productive development experience. No JavaScript required.
Depends:
Expand Down
14 changes: 9 additions & 5 deletions R/utils.R
Original file line numberDiff line numberDiff line change
Expand Up@@ -1054,26 +1054,30 @@ setCallbackContext <- function(callback_elements) {
function(x) {
input_id <- splitIdProp(x)[1]
prop <- splitIdProp(x)[2]

# The following conditionals check whether the callback is a pattern-matching callback and if it has been triggered.
if (startsWith(input_id, "{")){
id_match <- vapply(callback_elements$inputs, function(x) {
x <- unlist(x)
any(x[grepl("id.", names(x))] %in% jsonlite::fromJSON(input_id)[[1]])
}, logical(1))[[1]]
} else {
id_match <- vapply(callback_elements$inputs, function(x) x$id %in% input_id, logical(1))
id_match <- vapply(callback_elements$inputs, function(x) {
unlist(x)
any(x$id %in% input_id)}, logical(1))
}

if (startsWith(input_id, "{")){
prop_match <- vapply(callback_elements$inputs, function(x) {
x <- unlist(x)
any(x[names(x) == "property"] %in% prop)
}, logical(1))[[1]]
} else {
prop_match <- vapply(callback_elements$inputs, function(x) x$property %in% prop, logical(1))
prop_match <- vapply(callback_elements$inputs, function(x) {
unlist(x)
any(x$property %in% prop)}, logical(1))
}

if (startsWith(input_id, "{")){
if (length(callback_elements$inputs) == 1 || !is.null(unlist(callback_elements$inputs, recursive = F)$value)) {
value <- sapply(callback_elements$inputs[id_match & prop_match], `[[`, "value")
Expand Down
127 changes: 127 additions & 0 deletions tests/integration/callbacks/test_pattern_matching.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -318,6 +318,120 @@
"""


graphs_app = """
library(dash)
library(dashHtmlComponents)
library(dashCoreComponents)
library(plotly)

df <- read.csv(
file = "https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv",
stringsAsFactor=FALSE,
check.names=FALSE
)

app <- Dash$new()

app$layout(
htmlDiv(
list(
htmlDiv(
list(
dccDropdown(options = lapply(unique(df[,"country"]), function(x) {
list(label = x, value = x)
}),
value = "Canada",
id = "country",
style = list(display = "inline-block",
width = 200)
),
htmlButton(
"add Chart",
id = "add-chart",
n_clicks = 0,
style = list(display = "inline-block")
)
)
),
htmlDiv(id = "container", children=list()),
htmlDiv(id = "output-delay")
)
)
)

create_figure <- function(df, column_x, column_y, country) {
df <- df[which(df[, "country"] == country),]
if (column_x == "year") {
fig <- plot_ly(df, x = df[,column_x], y = df[,column_y], name = column_x, type = "scatter", mode = "lines")
} else {
fig <- plot_ly(df, x = df[,column_x], y = df[,column_y], name = column_x, type = "scatter", mode = "markers")
}
fig <- plotly::layout(fig, plot_bgcolor="lightblue", xaxis = list(title=""),
yaxis = list(title=""), title=list(text=paste(country, column_y, "vs", column_x),
xanchor="right", margin_l=10, margin_r=0, margin_b=30))
return(fig)
}

app$callback(
output = list(
output(id = "container", property = "children"),
output(id = "output-delay", property = "children")
),
params = list(
input(id = "add-chart", property = "n_clicks"),
state(id = "country", property = "value"),
state(id = "container", property = "children")
),
function(n_clicks, country, children) {
default_column_x <- "year"
default_column_y <- "gdpPercap"

new_element <- htmlDiv(
style = list(width = "23%", display = "inline-block", outline = "thin lightgrey solid", padding = 10),
children = list(
dccGraph(
id = list(type = "dynamic-output", index = n_clicks),
style = list(height = 300),
figure = create_figure(df, default_column_x, default_column_y, country)
),
dccDropdown(
id = list(type = "dynamic-dropdown-x", index = n_clicks),
options = lapply(colnames(df), function(x) {
list(label = x, value = x)
}),
value = default_column_x
),
dccDropdown(
id = list(type = "dynamic-dropdown-y", index = n_clicks),
options = lapply(colnames(df), function(x) {
list(label = x, value = x)
}),
value = default_column_y
)
)
)

children <- c(children, list(new_element))
return(list(children, n_clicks))
}
)

app$callback(
output(id = list("index" = MATCH, "type" = "dynamic-output"), property = "figure"),
params = list(
input(id = list("index" = MATCH, "type" = "dynamic-dropdown-x"), property = "value"),
input(id = list("index" = MATCH, "type" = "dynamic-dropdown-y"), property = "value"),
input(id = "country", property = "value")
),
function(column_x, column_y, country) {
return(create_figure(df, column_x, column_y, country))
}
)

app$run_server()
"""


def test_rpmc001_pattern_matching_all(dashr):
dashr.start_server(all_app)
dashr.find_element("#add-filter").click()
Expand DownExpand Up@@ -370,3 +484,16 @@ def test_rpmc004_pattern_matching_todo(dashr):
dashr.find_element("#add").click()
dashr.find_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"done\\"\\}').click()
assert dashr.wait_for_text_to_equal("#totals", "1 of 1 items completed - 100%")


def test_rpmc005_pattern_matching_graphs(dashr):
dashr.start_server(graphs_app)
dashr.select_dcc_dropdown("#country", "Cameroon")

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I often have a statement like dashr.wait_for_text_to_equal initially before selecting anything, and then I have an htmlDiv with some content that renders which I can watch -- just in case there's a slight delay, in my (very limited) experience this seems to help avoid flaky tests, and can also take the place of a sleep statement.

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ContributorAuthor

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That sounds good, I'm going to make a small update to it with those elements, then I'll merge it once the final tests pass.

dashr.wait_for_text_to_equal("#output-delay", "0")
dashr.find_element("#add-chart").click()
dashr.wait_for_text_to_equal("#output-delay", "1")
dashr.find_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-output\\"\\}')
dashr.select_dcc_dropdown('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-dropdown-x\\"\\}', "year")
dashr.select_dcc_dropdown('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-dropdown-y\\"\\}', "pop")
dashr.percy_snapshot("r-pmc-graphs")
dashr.wait_for_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-output\\"\\}')
, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); })(); Fix setCallbackContext for wildcard and ordinary inputs by HammadTheOne · Pull Request #237 · plotly/dashR · GitHub
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4 changes: 4 additions & 0 deletions CHANGELOG.md
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,6 +2,10 @@
All notable changes to `dash` will be documented in this file.
This project adheres to [Semantic Versioning](http://semver.org/).

## [0.8.1] - 2020-10-29
### Fixed
- Fixes a minor bug in `setCallbackContext` (described in [#236](https://github.com/plotly/dashR/issues/236)) which prevented pattern-matching callbacks from working properly if one or more `input` statements did not include a selector. [#237](https://github.com/plotly/dashR/pull/237)

## [0.8.0] - 2020-10-27
### Fixed
- Usage of `glue` has been corrected to address [#232](https://github.com/plotly/dashR/issues/232) via [#233](https://github.com/plotly/dashR/pull/233).
Expand Down
2 changes: 1 addition & 1 deletion DESCRIPTION
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
Package: dash
Title: An Interface to the Dash Ecosystem for Authoring Reactive Web Applications
Version: 0.8.0
Version: 0.8.1
Authors@R: c(person("Chris", "Parmer", role = c("aut"), email = "chris@plotly.com"), person("Ryan Patrick", "Kyle", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5829-9867"), email = "ryan@plotly.com"), person("Carson", "Sievert", role = c("aut"), comment = c(ORCID = "0000-0002-4958-2844")), person("Hammad", "Khan", role = c("aut"), comment = c(ORCID = "0000-0003-2479-9841"), email = "hammadkhan@plotly.com"), person(family = "Plotly Technologies", role = "cph"))
Description: A framework for building analytical web applications, Dash offers a pleasant and productive development experience. No JavaScript required.
Depends:
Expand Down
14 changes: 9 additions & 5 deletions R/utils.R
Original file line numberDiff line numberDiff line change
Expand Up@@ -1054,26 +1054,30 @@ setCallbackContext <- function(callback_elements) {
function(x) {
input_id <- splitIdProp(x)[1]
prop <- splitIdProp(x)[2]

# The following conditionals check whether the callback is a pattern-matching callback and if it has been triggered.
if (startsWith(input_id, "{")){
id_match <- vapply(callback_elements$inputs, function(x) {
x <- unlist(x)
any(x[grepl("id.", names(x))] %in% jsonlite::fromJSON(input_id)[[1]])
}, logical(1))[[1]]
} else {
id_match <- vapply(callback_elements$inputs, function(x) x$id %in% input_id, logical(1))
id_match <- vapply(callback_elements$inputs, function(x) {
unlist(x)
any(x$id %in% input_id)}, logical(1))
}

if (startsWith(input_id, "{")){
prop_match <- vapply(callback_elements$inputs, function(x) {
x <- unlist(x)
any(x[names(x) == "property"] %in% prop)
}, logical(1))[[1]]
} else {
prop_match <- vapply(callback_elements$inputs, function(x) x$property %in% prop, logical(1))
prop_match <- vapply(callback_elements$inputs, function(x) {
unlist(x)
any(x$property %in% prop)}, logical(1))
}

if (startsWith(input_id, "{")){
if (length(callback_elements$inputs) == 1 || !is.null(unlist(callback_elements$inputs, recursive = F)$value)) {
value <- sapply(callback_elements$inputs[id_match & prop_match], `[[`, "value")
Expand Down
127 changes: 127 additions & 0 deletions tests/integration/callbacks/test_pattern_matching.py
Original file line numberDiff line numberDiff line change
Expand Up@@ -318,6 +318,120 @@
"""


graphs_app = """
library(dash)
library(dashHtmlComponents)
library(dashCoreComponents)
library(plotly)

df <- read.csv(
file = "https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv",
stringsAsFactor=FALSE,
check.names=FALSE
)

app <- Dash$new()

app$layout(
htmlDiv(
list(
htmlDiv(
list(
dccDropdown(options = lapply(unique(df[,"country"]), function(x) {
list(label = x, value = x)
}),
value = "Canada",
id = "country",
style = list(display = "inline-block",
width = 200)
),
htmlButton(
"add Chart",
id = "add-chart",
n_clicks = 0,
style = list(display = "inline-block")
)
)
),
htmlDiv(id = "container", children=list()),
htmlDiv(id = "output-delay")
)
)
)

create_figure <- function(df, column_x, column_y, country) {
df <- df[which(df[, "country"] == country),]
if (column_x == "year") {
fig <- plot_ly(df, x = df[,column_x], y = df[,column_y], name = column_x, type = "scatter", mode = "lines")
} else {
fig <- plot_ly(df, x = df[,column_x], y = df[,column_y], name = column_x, type = "scatter", mode = "markers")
}
fig <- plotly::layout(fig, plot_bgcolor="lightblue", xaxis = list(title=""),
yaxis = list(title=""), title=list(text=paste(country, column_y, "vs", column_x),
xanchor="right", margin_l=10, margin_r=0, margin_b=30))
return(fig)
}

app$callback(
output = list(
output(id = "container", property = "children"),
output(id = "output-delay", property = "children")
),
params = list(
input(id = "add-chart", property = "n_clicks"),
state(id = "country", property = "value"),
state(id = "container", property = "children")
),
function(n_clicks, country, children) {
default_column_x <- "year"
default_column_y <- "gdpPercap"

new_element <- htmlDiv(
style = list(width = "23%", display = "inline-block", outline = "thin lightgrey solid", padding = 10),
children = list(
dccGraph(
id = list(type = "dynamic-output", index = n_clicks),
style = list(height = 300),
figure = create_figure(df, default_column_x, default_column_y, country)
),
dccDropdown(
id = list(type = "dynamic-dropdown-x", index = n_clicks),
options = lapply(colnames(df), function(x) {
list(label = x, value = x)
}),
value = default_column_x
),
dccDropdown(
id = list(type = "dynamic-dropdown-y", index = n_clicks),
options = lapply(colnames(df), function(x) {
list(label = x, value = x)
}),
value = default_column_y
)
)
)

children <- c(children, list(new_element))
return(list(children, n_clicks))
}
)

app$callback(
output(id = list("index" = MATCH, "type" = "dynamic-output"), property = "figure"),
params = list(
input(id = list("index" = MATCH, "type" = "dynamic-dropdown-x"), property = "value"),
input(id = list("index" = MATCH, "type" = "dynamic-dropdown-y"), property = "value"),
input(id = "country", property = "value")
),
function(column_x, column_y, country) {
return(create_figure(df, column_x, column_y, country))
}
)

app$run_server()
"""


def test_rpmc001_pattern_matching_all(dashr):
dashr.start_server(all_app)
dashr.find_element("#add-filter").click()
Expand DownExpand Up@@ -370,3 +484,16 @@ def test_rpmc004_pattern_matching_todo(dashr):
dashr.find_element("#add").click()
dashr.find_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"done\\"\\}').click()
assert dashr.wait_for_text_to_equal("#totals", "1 of 1 items completed - 100%")


def test_rpmc005_pattern_matching_graphs(dashr):
dashr.start_server(graphs_app)
dashr.select_dcc_dropdown("#country", "Cameroon")

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Contributor

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I often have a statement like dashr.wait_for_text_to_equal initially before selecting anything, and then I have an htmlDiv with some content that renders which I can watch -- just in case there's a slight delay, in my (very limited) experience this seems to help avoid flaky tests, and can also take the place of a sleep statement.

Copy link
Copy Markdown
ContributorAuthor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

That sounds good, I'm going to make a small update to it with those elements, then I'll merge it once the final tests pass.

dashr.wait_for_text_to_equal("#output-delay", "0")
dashr.find_element("#add-chart").click()
dashr.wait_for_text_to_equal("#output-delay", "1")
dashr.find_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-output\\"\\}')
dashr.select_dcc_dropdown('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-dropdown-x\\"\\}', "year")
dashr.select_dcc_dropdown('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-dropdown-y\\"\\}', "pop")
dashr.percy_snapshot("r-pmc-graphs")
dashr.wait_for_element('#\\{\\"index\\"\\:1\\,\\"type\\"\\:\\"dynamic-output\\"\\}')