I am fairly new to Redis and RedisJson and I have been through all the documentation I can get my hands on, but I still can't seem to figure this one out. I am hoping someone could shed some light on this situation to help me understand. My end goal is to be able to remove the JSON object from the responses array using JSON.ARRPOP. I need to get the index of the object first and I can't seem to do that.
Here is my object structure:
JSON.SET test:1 $ '{ "responses":[{"responseId":"29aab59c-10b0-48c0-ab91-8873fb6e2238"},{"responseId":"ab79f09b-8e31-41f4-9191-ef89a34964d3"}]}'
Check the path:
JSON.GET test:1 $.responses[*].responseId
RETURNS:
"["29aab59c-10b0-48c0-ab91-8873fb6e2238","ab79f09b-8e31-41f4-9191-ef89a34964d3"]"
Ok looks good I have an array of two strings lets get that index of 29aab59c-10b0-48c0-ab91-8873fb6e2238.
JSON.ARRINDEX test:1 $.responses[*].responseId '"29aab59c-10b0-48c0-ab91-8873fb6e2238"'
RETURNS:
(nil)
(nil)
It appears to have searched but found nothing?
At first I thought it was an escape character issue but I get the same results with responeIds as integers 1 and 2.
Any help here would be greatly appreciated. Thanks!
JSON.ARRINDEX can only search for scalar values. Objects and arrays are not scalars so you can't search for them.
For your use case you should look at https://redis.io/docs/stack/search/indexing_json/
I work with an array of string, each string var is a coded object.
I want to decode the object, when I print a string var I get something structured like that :
"firstName=\"Elliot\" lastName=\"Alderson\" gender=\"male\" age=\"33\",some description I also need to get"
Is that a standard format to store key value properties ? I can't find anything on internet. The keys are always the same so that's not a big deal to get theses values as a dictionary but I would like to know if there is like a best practice method to get theses data instead of just searching for each key and then reach value from the first quote to the second one (for each value)
Because my file is 30000 lines so I better choose the more optimized way.
Thanks !
Is there a neat way of looking up the key of a dictionary by an atom value if that atom is inside a value list ?
Assumption: The value lists of the dictionary have each unique elements
Example:
d:`tech`fin!(`aapl`msft;`gs`jpm) / would like to get key `fin by looking up `jpm
d?`gs`jpm / returns `fin as expected
d?`jpm / this doesn't work unfortunately
$[`jpm in d`fin;`fin;`tech] / this is the only way I can come up with
The last option does not scale well with the number of keys
Thanks!
You can take advantage of how where operates with dictionaries, and use in :
where `jpm in/:d
,`fin
Note this will return a list, so you might need to do first on the output if you want to replicate what you have above.
Why are you making this difficult on yourself? Use a table!
q)t:([] c:`tech`tech`fin`fin; sym:`aapl`msfw`gs`jpm)
q)first exec c from t where sym=`jpm
You can of course do what you're asking:
first where `jpm in'd
but this doesn't extend well to vectors while the table-approach does!
q)exec c from t where sym in `jpm`gs
I think you can take advantage of the value & key keywords to find what you're after:
q)key[d]where any value[d]in `jpm
,`fin
Hope that helps!
Jemma
The answers you have received so far are excellent. Here's my contribution building on Ryan's answer:
{[val;dict]raze {where y in/:x}[dict]'[val]}[`msft`jpm`gs;d]
The main difference is that you can pass a list of values to be evaluated and the result will be a list of keys.
[`msft`jpm`gs;d]
Output:
`tech`fin`fin
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'])]
Sorry for the length, but a picture is worth 1000 words:
In ASP.NET MVC 2, the input form field "name" attribute must contain exactly the syntax below that you would use to reference the object in C# in order to bind it back to the object upon post back. That said, if you have an object like the following where it contains multiple Orders having multiple OrderLines, the names would look and work well like this (case sensitive):
This works:
Order[0].id
Order[0].orderDate
Order[0].Customer.name
Order[0].Customer.Address
Order[0].OrderLine[0].itemID // first order line
Order[0].OrderLine[0].description
Order[0].OrderLine[0].qty
Order[0].OrderLine[0].price
Order[0].OrderLine[1].itemID // second order line, same names
Order[0].OrderLine[1].description
Order[0].OrderLine[1].qty
Order[0].OrderLine[1].price
However we want to add order lines and remove order lines at the client browser. Apparently, the indexes must start at zero and contain every consecutive index number to N.
The black belt ninja Phil Haack's blog entry here explains how to remove the [0] index, have duplicate names, and let MVC auto-enumerate duplicate names with the [0] notation. However, I have failed to get this to bind back using a nested object:
This fails:
Order.id // Duplicate names should enumerate at 0 .. N
Order.orderDate
Order.Customer.name
Order.Customer.Address
Order.OrderLine.itemID // And likewise for nested properties?
Order.OrderLine.description
Order.OrderLine.qty
Order.OrderLine.price
Order.OrderLine.itemID
Order.OrderLine.description
Order.OrderLine.qty
Order.OrderLine.price
I haven't found any advice out there yet that describes how this works for binding back nested ViewModels on post. Any links to existing code examples or strict examples on the exact names necessary to do nested binding with ILists?
Steve Sanderson has code that does this sort of thing here, but we cannot seem to get this to bind back to nested objects. Anything not having the [0]..[n] AND being consecutive in numbering simply drops off of the return object.
Any ideas?
We found a work around, by using the following:
Html.EditorFor(m => m, "ViewNameToUse", "FieldPrefix")
Where FieldPrefix is the "object[0]". This is hardly ideal, but it certainly works pretty well. It's simple and elegant.