Portfolio Summary

Show summary of all portfolios visible to this user, either uploaded or portfolios from vault (for eval purposes Clarus provide sample portfolios)

Parameter Description Default Options
dataSource
Optional
All ASX , CME , Clarus , FRTB , FpML , IP , JPM , LCH , SACCR , SIMMv10 , SIMMv12 , SIMMv13 , SIMMv20 , SIMMv201D , SIMMv21 , SIMMv22 , SIMMv221D , SIMMv23 , SIMMv231D
import clarus

response = clarus.portfolio.summary()
print (response)
import com.clarusft.api.model.portfolio.SummaryRequest
import com.clarusft.api.model.portfolio.SummaryResponse

ApiClient clarus = ApiClient.getDefault();
SummaryResponse response = clarus.request(new SummaryRequest());
System.out.println(response);
import Clarus

response = Clarus.Portfolio.summary()
print(response)

##
##Need to install packages once, if not already installed
##install.packages('httr')
##install.packages('readr')
##

library('httr')
##library('readr')

## Manually edit and set key/secret here ##
apiKey <- '...'
apiSecret <-'...'

request <- function(category, functionName, ...){
  restUrl  =  paste0('https://apieval.clarusft.com/api/rest/v1/', category, '/',functionName, '.csv')
  response <- POST(url=restUrl, body=list(...), encode='json', authenticate(apiKey, apiSecret, type='basic'))
  if (response$status_code!=200){
      stop(paste0('Request to ', category, '/', functionName, ' failed with status code: ', response$status_code))
  }
  return (response)
}

dataframe <- function(response){
  return (read.csv(text=content(response, 'text'), sep=',', head=TRUE))
}
## filename <- file.path('C:', 'Temp', 'myfile.csv')
## myvalue <- <- read_file(filename)

r <- request('portfolio', 'Summary')
df <- dataframe(r)
print (df)

import requests
import sys
import pandas
import io
#import os

# Example of REST API call to Clarus Microservices #

# Manually edit and set key/secret here #
apiKey = ''
apiSecret = ''

print (sys.version)

def request(category, functionName, **params):
  restUrl = 'https://apieval.clarusft.com/api/rest/v1/' + category + '/' + functionName + '.json'
  r = requests.post(restUrl, json=params, auth=(apiKey, apiSecret))
  r.raise_for_status()
  return r.json()

def dataframe(results):
  return pandas.DataFrame(results['results'])

# filename = os.path.join('C:\\', 'Temp', 'myfile.csv')
# myvalue = open(filename).read()

r = request('portfolio', 'Summary')
df = dataframe(r)
print(pandas.DataFrame.head(df))


use strict;
use warnings;
use MIME::Base64;
use JSON;
use REST::Client;

# Example of REST API call to Clarus Microservices #

my $client = REST::Client->new();
$client->addHeader('Content-Type', 'application/json');

# Manually edit and set key/secret here 
my $apiKey = '';
my $apiSecret = '';

my $encoded_auth = encode_base64("$apiKey:$apiSecret", '');
$client->addHeader('Authorization', "Basic $encoded_auth");

my %params = ();

my $urlBase = 'https://apieval.clarusft.com/api/rest/v1/';
my $category = 'portfolio/';
my $name = 'Summary';
my $outputFormat = '.csv'; #can also be '.json' or '.tsv'
my $fullRESTUrl  =  $urlBase . $category . $name . $outputFormat;

$client->POST($fullRESTUrl,encode_json(\%params));

print 'Response: ' . $client->responseContent() . "\n";
print 'Response status: ' . $client->responseCode() . "\n";


printf('Example of REST API call to Clarus Microservices\n');

function r = request(category, functionName, params)

# Manually edit and set key/secret here #
  apiKey = ''
  apiSecret = ''

  restUrl = ['https://' apiKey ":" apiSecret  "@" 'apieval.clarusft.com/api/rest/v1/' category '/' functionName '.csv'];
  [r, status, message] = urlread (restUrl, 'get', params);
  if (status!=1)
      error(['Failed on ' category '/' functionName ': ' message]);
  endif
end

function ca = toCellArray(csvStr)
  header_row = textscan (csvStr, "%s", 1, 'delimiter','\n');
  headers = strsplit(char(header_row), ",");
  numCols = size(headers)(2);
  format = repmat('%s ', [1 numCols]);
  ca = textscan (csvStr, format, 'delimiter',',', 'endofline',"\n");
end

params = {}

r = request('portfolio', 'Summary', params)
ca = toCellArray(r);

ca

Request Body

Submit to generate...
Response

Submit to generate...

{ }