Using the following code in my volt file, taken straight from the documentation (present here: http://docs.phalconphp.com/en/latest/reference/tags.html#helpers-to-generate-form-elements).
{{ text_area("comment", "This is the content", "cols": "6", "rows": 20) }}
It shows a textarea with correct name and id, correct column and rows but no content.
Only the first parameter is internally mapped to be the id.
All other parameters need a key.
This works:
{{ text_area("comment", "value":"This is the content", "cols": "6", "rows": 20) }}
Related
I have a template file for my invoice with a table with sample row, but I want to add more rows dynamically based on a given array size, and write the cell values from the array...
Template's photo
I've been struggling for almost 3 days now.
Is there any easy way to accomplish that?
Here's the template file: Link to the Docs file(template)
And here's a few sample arrays of input data to be replaced in the Template file:
[
[
"Sample item 1s",
"Sample Quantity 1",
"Sample price 1",
"Sample total 1"
],
[
"Sample item 2",
"Sample Quantity 2",
"Sample price 2",
"Sample total 2"
],
[
"Sample item 3",
"Sample Quantity 3",
"Sample price 3",
"Sample total 3"
],
]
Now, the length of the parent array can vary depending on the number of items in the invoice, and that's the only problem that I'm struggling with.
And... Yeah, this is a duplicate question, I've found another question on the same topic, but looking at the answers and comments, everyone is commenting that they don't understand the question whereas it looks perfectly clear for me.
Google Docs Invoice template with dynamically items row from Google Sheets
I think the person who asked the question have already quit from it. :(
By the way I am using the API for PHP (Google API Client Library for PHP), and code for replacing dummy text a Google Docs Document by the actual data is given below:
public function replaceTexts(array $replacements, string $document_id) {
# code...
$req = new Docs\BatchUpdateDocumentRequest();
// var_dump($replacements);
// die();
foreach ($replacements as $replacement) {
$target = new Docs\SubstringMatchCriteria();
$target->text = "{{" . $replacement["targetText"] . "}}";
$target->setMatchCase(false);
$req->setRequests([
...$req->getRequests(),
new Docs\Request([
"replaceAllText" => [
"replaceText" => $replacement["newText"],
"containsText" => $target
]
]),
]);
}
return $this->docs_service->documents->batchUpdate(
$document_id,
$req
);
}
A possible solution would be the following
First prep the document by removing every row from the table apart from the title.
Get the full document tree from the Google Docs API.
This would be a simple call with the document id
$doc = $service->documents->get($documentId);
Traverse the document object returned to get to the table and then find the location of the right cell. This could be done by looping through the elements in the body object until one with the right table field is found. Note that this may not necessarily be the first one since in your template, the section with the {{CustomerName}} placeholder is also a table. So you may have to find a table that has the first cell with a text value of "Item".
Add a new row to the table. This is done by creating a request with the shape:
[
'insertTableRow' => [
'tableCellLocation' => [
'rowIndex' => 1,
'columnIndex' => 1,
'tableStartLocation' => [
'index' => 177
]
]
]
]
The tableStartLocation->index element is the paragraph index of the cell to be entered, i.e. body->content[i]->table->startIndex. Send the request.
Repeat steps 2 and 3 to get the updated $doc object, and then access the newly created cell i.e. body->content[i]->table->tableRows[j]->tableCells[k]->content->paragraph->elements[l]->startIndex.
Send a request to update the text content of the cell at the location of the startIndex from 5 above, i.e.
[
'insertText' => [
'location' => [
'index' => 206,
]
],
'text' => 'item_1'
]
]
Repeat step 5 but access the next cell. Note that after each update you need to fetch an updated version of the document object because the indexes change after inserts.
To be honest, this approach is pretty cumbersome, and it's probably more efficient to insert all the data into a spreadsheet and then embed the spreadsheet into your word document. Information on that can be found here How to insert an embedded sheet via Google Docs API?.
As a final note, I created a copy of your template and used the "Try this method" feature in the API documentation to validate my approach so some of the PHP syntax may be a bit off, but I hope you get the general idea.
is there any way to extract only table data I am trying to extract a table from the specific section "Grade One" from this article https://en.wikipedia.org/wiki/List_of_motor_racing_circuits_by_FIA_grade using Api sandbox but I am getting only the whole content of the page.
this is the URL from the API sandbox which gives me all content.
https://en.wikipedia.org/wiki/Special:ApiSandbox#action=parse&format=json&page=List%20of%20motor%20racing%20circuits%20by%20FIA%20grade&prop=text
I followed the steps I described in my answer in order to get the data you want.
This is the URL:
https://en.wikipedia.org/wiki/Special:ApiSandbox#action=parse&format=json&page=List%20of%20motor%20racing%20circuits%20by%20FIA%20grade&prop=sections%7Ctext§ion=1&disablelimitreport=1&utf8=1
The output contains the table and the text in the "Grade One" section.
This is the API Sandbox example.
Response:
{
"parse": {
"title": "List of motor racing circuits by FIA grade",
"pageid": 57151782,
"text": {
"*": "<div class=\"mw-parser-output\"><h2><span class=\"mw-headline\" id=\"Grade_One\">Grade One</span><span class=\"mw-editsection\"><span class=\"mw-editsection-bracket\">[</span>edit<span class=\"mw-editsection-bracket\">]</span></span></h2>\n<p>There are 40 Grade One circuits for a total of 49 layouts in 27 nations as of December 2021. Circuits holding Grade One certification may host events involving \"Automobiles of Groups D (FIA International Formula) and E (Free Formula) with a weight/power ratio of less than 1 kg/hp.\"<sup id=\"cite_ref-ISC2019_1-0\" class=\"reference\">[1]</sup> As such, a Grade One certification is required to host events involving Formula One cars.<sup id=\"cite_ref-2\" class=\"reference\">[2]</sup><sup id=\"cite_ref-2021_December_list_3-0\" class=\"reference\">[3]</sup>\n</p>\n<table class=\"wikitable sortable\" width=\"75%\" style=\"font-size: 95%;\">\n<tbody><tr>\n<th>Circuit\n</th>\n<th>Location\n</th>\n<th>Country\n</th>\n<th>Layout\n</th>\n<th>Length\n</th>\n<th>Continent\n</th></tr>\n<tr>\n<td>Albert Park Circuit\n</td>\n<td>Melbourne\n</td>\n<td><span class=\"flagicon\"><img alt=\"\" src=\"//upload.wikimedia.org/wikipedia/commons/thumb/8/88/Flag_of_Australia_%28converted%29.svg/23px-Flag_of_Australia_%28converted%29.svg.png\" decoding=\"async\" width=\"23\" height=\"12\" class=\"thumbborder\" srcset=\"//upload.wikimedia.org/wikipedia/commons/thumb/8/88/Flag_of_Australia_%28converted%29.svg/35px-Flag_of_Australia_%28converted%29.svg.png 1.5x, //upload.wikimedia.org/wikipedia/commons/thumb/8/88/Flag_of_Australia_%28converted%29.svg/46px-Flag_of_Australia_%28converted%29.svg.png 2x\" data-file-width=\"1280\" data-file-height=\"640\" /> </span>Australia\n</td>\n<td>Grand Prix\n</td>\n<td>5.279 km (3.280 mi)\n</td>\n<td>Australia\n</td></tr>\n<tr>[...the rest of the table is shown here]"
},
"sections": [
{
"toclevel": 1,
"level": "2",
"line": "Grade One",
"number": "1",
"index": "1",
"fromtitle": "List_of_motor_racing_circuits_by_FIA_grade",
"byteoffset": 0,
"anchor": "Grade_One"
}
]
}
}
I can't see how you can return the table only, so, you have to extract the table from the API response (by using a script).
I have a list of data and for some of the objects in the data the tag key is empty. When plotting the data in the table they data which has tag key is plotted correctly but for the object which doesn't have the tag key it is being displayed as []. How do I remove that ?
<template v-slot:[`item.tags`]="item">
{{item.tags}}
</template>
Data Sample for a data with tag
{"_id": {"$oid": "60c057823e2a3a534cb1b412"},
"tags": "MMM",
"DateModified": "2021-06-09 13:54:57"}
Data Sample for a data without tag
{"_id": {"$oid": "60c057823e2a3a534cb1b412"},
"tags": [],
"DateModified": "2021-06-09 13:54:57"}
Since you different type of data for each of case when you have data and when you don't have data.
Better go with this
<template v-slot:[`item.tags`]="item">
{{item.tags.length === 0 ? '' : item.tags}}
</template>
If your tags field is an array, you do not want to directly call {{tags}} in your template. You should probably have something like
<span v-for="(tag, i) in tags" :key="i">{{tag}}</span>
You have a problem with your default tags
If i can contain at most 1 tags it should be an empty String instead of an empty Array
your data Sample for a data without tag
{
"_id": {"$oid": "60c057823e2a3a534cb1b412"},
"tags": '',
"DateModified": "2021-06-09 13:54:57"
}
Need help constructing this mongo query.
So far I can query on the first level, but unable to do so at the next embedded level ("labels" > 2")
For example, the document structure looks like this:
> db.versions_20170420.findOne();
{
"_id" : ObjectId("54bf146b77ac503bbf0f0130"),
"account" : "foo",
"labels" : {
"1" : {
"name" : "one",
"color" : "color1"
},
"2" : {
"name" : "two",
"color" : "color2"
},
"3" : {
"name" : "three",
"color" : "color3"
}
},
"profile" : "bar",
"version" : NumberLong("201412192106")
This query I can filter at the first level (account, profile).
db.profile_versions_20170420.find({"account":"foo", "profile": "bar"}).pretty()
However, given this structure, I'm looking for documents where the "label" > "2". It doesn't look like "2" is a number, but a string. Is there a way to construct the mongo query to do that? Do I need to do some conversion?
If I correctly understand you and your data structure, "label" > "2" means that object labels must contain property labels.3, and it is easy to check with next code:
db.profile_versions_20170420.find(
{"account": "foo", "profile": "bar", "labels.3": {$exists: true}}
).pretty();
But it doesn't mean that your object contains at least 3 properties, because it is not $size function which calculates count of elements in array, and we cannot use $size because labels is object not array. Hence in our case, we only know that labels have property 3 even it is the only one property which labels contains.
You can improve find criteria:
db.profile_versions_20170420.find({
"account": "foo",
"profile": "bar",
"labels.1": {$exists: true},
"labels.2": {$exists: true},
"labels.3": {$exists: true}
}).pretty();
and ensure that labes contains elements 1, 2, 3, but in this case, you have to care about object structure on application level during insert/update/delete data in document.
As another option, you can update your db and add extra field labelsConut and after that you will be able to run query like this:
db.profile_versions_20170420.find(
{"account": "foo", "profile": "bar", "labelsConut": {$gt: 2}}
).pretty();
btw, it will work faster...
I'm trying to get all the content from Wikipedia:Unusual_articles and I'm able to get the list of table content by calling this endpoint:
https://en.wikipedia.org/w/api.php?action=parse&format=json&prop=sections&page=Wikipedia:Unusual_articles
and the data I got back look something like this:
{
title: "Wikipedia:Unusual articles",
pageid: 154126,
sections: [
{
toclevel: 1,
level: "2",
line: "Places and infrastructure",
number: "1",
index: "T-1",
fromtitle: "Wikipedia:Unusual_articles/Places_and_infrastructure",
byteoffset: null,
anchor: "Places_and_infrastructure"
},
{
toclevel: 2,
level: "3",
line: "Americas",
number: "1.1",
index: "T-2",
fromtitle: "Wikipedia:Unusual_articles/Places_and_infrastructure",
byteoffset: null,
anchor: "Americas"
},
...
But I'm not able to get the content of a particular section. For example under Americas is a list of the table with a link and a short description, but is there a way to obtain the link and short description from the API?
You can get the content of every page section by using MediaWiki API with action=parse in two steps. First you have to get all sections from the page with:
https://en.wikipedia.org/w/api.php?action=parse&prop=sections&page=Wikipedia:Unusual_articles
From the response you see that section Americas has index=T-2 (T means transcluded page) and it comes from fromtitle=Wikipedia:Unusual_articles/Places_and_infrastructure. Now we use these index and fromtitle to get the content of the section with:
https://en.wikipedia.org/w/api.php?action=parse&page=Wikipedia:Unusual_articles/Places_and_infrastructure§ion=2&prop=...
where:
prop=wikitext - gives the original section wikitext that was parsed.
prop=text - gives the parsed section text of the wikitext.