I am using a row id to obtain the cells for a single row. However, the response returns the column id but not the title of the column. In an attempt to make the code readable for others it would be helpful to also obtain the column title. I was thinking of doing this by using the column id that is obtained in the getRow function but I am not entirely sure how to catch it. Below is the basic getRow function for reference. I appreciate any assistance. Thank you in advance all.
smartsheet.sheets.getRow(options)
.then(function(row) {
console.log(row);
})
.catch(function(error) {
console.log(error);
});
My preferred way of addressing this is to dynamically create a column map on my first GET /sheets/{sheetId} request.
Let's say we have a sheet with three columns: Japan, Cat, and Cafe. Here is one way to make a column map.
const columnMap = makeColumnMap(<your sheet data>);
function makeColumnMap(sheetData){
const colMap = {};
sheetData.columns.map( column => colMap[column.title] = column.id);
return colMap;
}
Now, you can reference your specific columns like this: columnMap["Japan"], columnMap["Cat"], and columnMap["Cafe"] or you can use dot notation if you prefer.
Basically, what we're doing is creating a dictionary to map the column titles to the corresponding column id.
Posting this as a separate answer based on your response (and for easier formatting).
I have a couple specific recommendations that will help you.
Try to consolidate your API calls.
I then want to use that columnID to call getColumns(columnId) to obtain the title.
This is 'work' that you don't need to do. A single GET /sheets/{sheetId} will include all the data you need in one call. It's just a matter of parsing the JSON response.
Use this as an opportunity to improve your ability to work with JSON.
I do not know how to catch the columnId once getRow() is called.
The response is a single object with nested arrays and objects. Learning to navigate the JSON in a way that makes sense to you will come in really handy.
I would recommend saving the response from a GET sheet call as it's own JSON file. From there, you can bring it into your script and play with your logic to reference the values you want.
Related
How do I take a list of values, iterate through it to create the needed objects then pass that "list" of objects to the API to create multiple rows?
I have been successful in adding a new row with a value using the API example. In that example, two objects are created.
row_a = ss_client.models.Row()
row_b = ss_client.models.Row()
These two objects are passed in the add row function. (Forgive me if I use the wrong terms. Still new to this)
response = ss_client.Sheets.add_rows(
2331373580117892, # sheet_id
[row_a, row_b])
I have not been successful in passing an unknown amount of objects with something like this.
newRowsToCreate = []
for row in new_rows:
rowObject = ss.models.Row()
rowObject.cells.append({
'column_id': PM_columns['Row ID Master'],
'value': row
})
newRowsToCreate.append(rowObject)
# Add rows to sheet
response = ss.Sheets.add_rows(
OH_MkrSheetId, # sheet_id
newRowsToCreate)
This returns this error:
{"code": 1062, "errorCode": 1062, "message": "Invalid row location: You must
use at least 1 location specifier.",
Thank you for any help.
From the error message, it looks like you're missing the location specification for the new rows.
Each row object that you create needs to have a location value set. For example, if you want your new rows to be added to the bottom of your sheet, then you would add this attribute to your rowObject.
rowObject.toBottom=True
You can read about this location specific attribute and how it relates to the Python SDK here.
To be 100% precise here I had to set the attribute differently to make it work:
rowObject.to_bottom = True
I've found the name of the property below:
https://smartsheet-platform.github.io/smartsheet-python-sdk/smartsheet.models.html#module-smartsheet.models.row
To be 100% precise here I had to set the attribute differently to make it work:
Yep, the documentation isn't super clear about this other than in the examples, but the API uses camelCase in Javascript, but the same terms are always in snake_case in the Python API (which is, after all, the Pythonic way to do it!)
I am using ag-grid with angular and I want to apply an external filter to it.
The documentation shows an example what the doesExternalFilterPass function can look like:
function doesExternalFilterPass(node) {
switch (ageType) {
case 'below30': return node.data.age < 30;
...
default: return true;
}
}
It basically uses the raw data to filter the rows. As I use the columns valueGetter/filterValueGetter functions to modify the values, I want the external filter to filter based on the return values of these functions but I haven't found the proper way to do this.
I can get the value that I want by calling
this.gridOptions.api.getValue(columnId, node);
(which calls the valueGetter under the hood) instead of
node.data[columnId]
but I didn't find any example doing it that way.
So I am asking for the right way of calling the valueGetter functions inside doesExternalFilterPass or how anybody else approached this problem.
(It is especially important when you have rows that are not even included in the data object. This is the case when a columns values are calculated through a valueGetter/filterValueGetter function e.g. by adding two other columns.)
Instead of using a valueGetter, you can add a custom field to your data model that you compute before feeding data to the grid. You will need to pre-process the data and then use this new field in column definition and external filter.
Please could somebody confirm the following..
I am using Mirth Connect 3.5.08232.
My Source Connector is a Database Reader.
Say, I am using a query that returns multiple rows, and return the result (via JavaScript), as documentation suggests, so that Mirth would treat each row as a separate message. I also use a couple of mappers as source transformers, and save the mapped fields in my channel map (which ends up to contain only those fields that I define in transformers)
In the destination, and specifically, in destination response transformer (or destination body, if it is a JavaScript writer), how do I access the source fields?
the only way I found by trial and error is
var rawMsg = connectorMessage.getRawData();
var xmlMsg = new XML(rawMsg);
logger.info(xmlMsg.some_field); // ignore the root element of rawMsg
Is this the right way to do this? I thought that maybe the fields that were nicely automatically detected would be put in some kind of a map, like sourceMap - but that doesn't seem to be the case, right?
Thank you
If you are using Mapper steps in your transformer to extract the data and put it into a variable map (like the channel map), then you can use any of the following methods to retrieve it from a subsequent JavaScript context (including a JavaScript Writer, and your response transformer):
var value = channelMap.get('key');
var value = $c('key');
var value = $('key');
Look at the Variable Maps section of the User Guide for more information.
So to recap, say you're selecting a column "mycolumn" with a Database Reader. The XML sent to the channel will be something like this:
<result>
<mycolumn>value</mycolumn>
</result>
Then you can choose to extract pieces of that message into specific variables for later use. The transformer allows you to easily drag-and-drop pieces of the sample inbound message.
Finally in your JavaScript Writer (or in any subsequent filter, transformer, or response transformer), just drag the value into the field you want:
And the corresponding JavaScript code will automatically be inserted:
One last note, if you are selecting a lot of variables and don't want to make Mapper steps for each one individually, you can use a JavaScript Step to iterate through the message and extract each column into a separate map variable:
for each (child in msg.children()) {
channelMap.put(child.localName(), child.toString());
}
Or, you can just reference the columns directly from within the JavaScript Writer:
var msg = new XML(connectorMessage.getEncodedData());
var column1 = msg.column1.toString();
var column2 = msg.column2.toString();
...
I new to pandas and trying to learn how to work with it. Im having a problem when trying to use an example I saw in one of wes videos and notebooks on my data. I have a csv file that looks like this:
filePath,vp,score
E:\Audio\7168965711_5601_4.wav,Cust_9709495726,-2
E:\Audio\7168965711_5601_4.wav,Cust_9708568031,-80
E:\Audio\7168965711_5601_4.wav,Cust_9702445777,-2
E:\Audio\7168965711_5601_4.wav,Cust_7023544759,-35
E:\Audio\7168965711_5601_4.wav,Cust_9702229339,-77
E:\Audio\7168965711_5601_4.wav,Cust_9513243289,25
E:\Audio\7168965711_5601_4.wav,Cust_2102513187,18
E:\Audio\7168965711_5601_4.wav,Cust_6625625104,-56
E:\Audio\7168965711_5601_4.wav,Cust_6073165338,-40
E:\Audio\7168965711_5601_4.wav,Cust_5105831247,-30
E:\Audio\7168965711_5601_4.wav,Cust_9513082770,-55
E:\Audio\7168965711_5601_4.wav,Cust_5753907026,-79
E:\Audio\7168965711_5601_4.wav,Cust_7403410322,11
E:\Audio\7168965711_5601_4.wav,Cust_4062144116,-70
I loading it to a data frame and the group it by "filePath" and "vp", the code is:
res = df.groupby(['filePath','vp']).size()
res.index
and the output is:
[E:\Audio\7168965711_5601_4.wav Cust_2102513187,
Cust_4062144116, Cust_5105831247,
Cust_5753907026, Cust_6073165338,
Cust_6625625104, Cust_7023544759,
Cust_7403410322, Cust_9513082770,
Cust_9513243289, Cust_9702229339,
Cust_9702445777, Cust_9708568031,
Cust_9709495726]
Now Im trying to approach the index like a dict, as i saw in examples, but when im doing
res['Cust_4062144116']
I get an error:
KeyError: 'Cust_4062144116'
I do succeed to get a result when im putting the filepath, but as i understand and saw in previouse examples i should be able to use the vp keys as well, isnt is so?
Sorry if its a trivial one, i just cant understand why it is working in one example but not in the other.
Rutger you are not correct. It is possible to "partial" index a multiIndex series. I simply did it the wrong way.
The index first level is the file name (e.g. E:\Audio\7168965711_5601_4.wav above) and the second level is vp. Meaning, for each file name i have multiple vps.
Now, this is correct:
res['E:\Audio\7168965711_5601_4.wav]
and will return:
Cust_2102513187 2
Cust_4062144116 8
....
but trying to index by the inner index (the Cust_ indexes) will fail.
You groupby two columns and therefore get a MultiIndex in return. This means you also have to slice using those to columns, not with a single index value.
Your .size() on the groupby object converts it into a Series. If you force it in a DataFrame you can use the .xs method to slice a single level:
res = pd.DataFrame(df.groupby(['filePath','vp']).size())
res.xs('Cust_4062144116', level=1)
That works. If you want to keep it as a series, boolean indexing can help, something like:
res[res.index.get_level_values(1) == 'Cust_4062144116']
The last option is a bit less readable, but sometimes also more flexibile, you could test for multiple values at once for example:
res[res.index.get_level_values(1).isin(['Cust_4062144116', 'Cust_6073165338'])]
I've research this topic extensibly and I'm asking as a last resort before assuming that there is no wildcard for what I want to do.
I need to pull up all the text input elements from the document and add it to an array. However, I only want to add the input elements that have an id.
I know you can use the \S* wildcard when using an id selector such as $(#\S*), however I can't use this because I need to filter the results by text type only as well, so I searching by attribute.
I currently have this:
values_inputs = $("input[type='text'][id^='a']");
This works how I want it to but it brings back only the text input elements that start with an 'a'. I want to get all the text input elements with an 'id' of anything.
I can't use:
values_inputs = $("input[type='text'][id^='']"); //or
values_inputs = $("input[type='text'][id^='*']"); //or
values_inputs = $("input[type='text'][id^='\\S*']"); //or
values_inputs = $("input[type='text'][id^=\\S*]");
//I either get no values returned or a syntax error for these
I guess I'm just looking for the equivalent of * in SQL for JQuery attribute selectors.
Is there no such thing, or am I just approaching this problem the wrong way?
Actually, it's quite simple:
var values_inputs = $("input[type=text][id]");
Your logic is a bit ambiguous. I believe you don't want elements with any id, but rather elements where id does not equal an empty string. Use this.
values_inputs = $("input[type='text']")
.filter(function() {
return this.id != '';
});
Try changing your selector to:
$("input[type='text'][id]")
I figured out another way to use wild cards very simply. This helped me a lot so I thought I'd share it.
You can use attribute wildcards in the selectors in the following way to emulate the use of '*'. Let's say you have dynamically generated form in which elements are created with the same naming convention except for dynamically changing digits representing the index:
id='part_x_name' //where x represents a digit
If you want to retrieve only the text input ones that have certain parts of the id name and element type you can do the following:
var inputs = $("input[type='text'][id^='part_'][id$='_name']");
and voila, it will retrieve all the text input elements that have "part_" in the beginning of the id string and "_name" at the end of the string. If you have something like
id='part_x_name_y' // again x and y representing digits
you could do:
var inputs = $("input[type='text'][id^='part_'][id*='_name_']"); //the *= operator means that it will retrieve this part of the string from anywhere where it appears in the string.
Depending on what the names of other id's are it may start to get a little trickier if other element id's have similar naming conventions in your document. You may have to get a little more creative in specifying your wildcards. In most common cases this will be enough to get what you need.