Showing posts with label Design Patterns. Show all posts
Showing posts with label Design Patterns. Show all posts

Friday, March 20, 2020

Python: implementing Strategy design pattern without class hierarchy

The essence of Strategy design pattern is to enable algorithm selection to happen at run-time. Assume we would have the following two simple functions in a source file. Note, that the content of these functions is only a side-show. The main point of interest here is, how do we call these functions from somewhere else.

# functions.py
import numpy as np

def calculate_average(arr):
    return np.mean(arr)

def calculate_standard_deviation(arr):
    return np.std(arr)

In the main program, we need to select desired algorithm to process calculation for array input.

Hard-coded implementation


Below is kind of 'level-one' implementation for the main program. Needless to say, we are forced to modify the program as soon as any new function will be implemented in functions module and we would like to use that new function in the main program.

import functions

try:
    arr = [1, 2, 3, 4, 5]
    selection = 1

    if(selection == 1):
        result = functions.calculate_average(arr)
    elif(selection == 2):
        result = functions.calculate_standard_deviation(arr)
    else:
        raise Exception('Selected function is not implemented.')

    print(result)

except Exception as e:
    print(e)

Flexible implementation


Fortunately, there are ways to get out of such hard-coded scheme for selecting algorithm and this post is only presenting one such possibility. First, let us implement the following json configuration file. In this file, we are configuring the name of the function what we would like to use in our main program.

{
  "function_name": "calculate_standard_deviation"
}

In our new main program, we create configurations from the previous file and read function name from it. Then, by using hasattr function we check, if functions module is containing configured function. After this, we use getattr function to get reference to configured function. Finally, we will use the function and print calculation result.

import json
import functions

try:
    arr = [1, 2, 3, 4, 5]

    # create configurations
    path = '//temp/configurations.json'
    configurations = json.load(open(path, 'r'))
    function_name = configurations['function_name']

    if(hasattr(functions, function_name)):
        function = getattr(functions, function_name)
        result = function(arr)
    else:
        raise Exception('Calculation cannot be processed due to incorrect function configuration.')

    print(result)

except Exception as e:
    print(e)

Assume there would be a new function implementation in functions module and we would like to use that new function in our main program. In this flexible implementation, there would be no need to touch the main program here. Required change (run-time information of what function will be used) has now been isolated to configurations file.

From purely technical point of view, presented scheme is far from being 'traditional' Strategy pattern implementation starting from the fact, that there is no class hierarchy. However, code is receiving run-time instructions (from configurations file) for selecting a specific algorithm (from all functions available). At least for me, this is the essence of Strategy design pattern.

Finally, thanks for reading this blog.
-Mike

Saturday, March 7, 2020

Python: Implementing Factory Method Design Pattern

Ideally, program should be closed for modifications, but open for extensions and hard-coded stuff should be avoided like plague. This is the point, where Design Patterns are usually stepping into picture. When the code base will grow enough in size and we are in charge of production-level programs, it is relatively easy to justify the usage of patterns. In this post, Python mutation of Factory Method Pattern is introduced for creating Task class objects, based on argument feed received from different types of sources. Complete program can be downloaded from my github page.

Imaginary scheme


Third-party analytical software is used for processing different types of complex calculations. One calculation request requires a set of specific arguments from the client program. Moreover, different types of requests will require different set of arguments (number of arguments, types of arguments). Before sending calculation request for analytical software, client program must collect arguments for all tasks to be processed from somewhere and we would like to leave the source for such task arguments open (json, text, console, xml, etc.).

Json source file


{
  "taskName": "ANZ.XVA",
  "taskType": "XVA",
  "paths": 1000,
  "storeExposures": "True" 
}

Text source file


taskName,RBC.PV
taskType,PV

Program


import sys, json, csv

# class for hosting calculation task-related information
# NOTE: the actual method for creating 'calculation request' is currently not implemented
class Task(object):
    def __init__(self, arguments):
        self.arguments = arguments
        
    # non-relevant dummy method, which just writes out given arguments
    def print(self):
        for k, v in self.arguments.items():
            print(k, 'is', v)
        
    @classmethod
    # factory: create task object from json file
    def from_json(cls, path)->'Task':
        arguments = json.load(open(path, 'r'))
        return cls(arguments)
    
    @classmethod
    # factory: create task object from text file
    def from_text(cls, path)->'Task':
        arguments = dict((k, v) for k, v in csv.reader(open(path, 'r')))
        return cls(arguments)
    
    @classmethod
    # factory: create task object from console input
    def from_console(cls)->'Task':
        arguments = json.loads(input())
        return cls(arguments)        

path = '/home/mikejuniperhill/json.feed/task.json'
task = Task.from_json(path)
task.print()

path = '/home/mikejuniperhill/json.feed/task.txt'
task = Task.from_text(path)
task.print()

task = Task.from_console()
# console feed string: {"taskName":"ANZ.WHATIF.XVA","taskType":"WHATIF","referenceTask":"ANZ.XVA"}
task.print()

Program output




















Thanks for reading this blog.
-Mike


Sunday, December 13, 2015

Implementing statistics gatherer design by using Boost library in C++

As a result of Monte Carlo simulation process, we get a lot of simulated values. After this, we usually want to calculate a set of desired statistics from those simulated values. A great statistics gatherer design has been thoroughly presented in The book by Mark Joshi. However, just for the curious and for the sake of trying to create something original (while respecting traditions), I wanted to implement my own statistics gatherer design, in which several different statistical measures could be calculated independently by using the same set of processed data. Moreover, the number of such calculation objects and their implementations for algorithmic details would be fully configurable. Finally, I wanted to avoid any direct coupling between data (object, which holds the source data) and algorithms (objects, which are performing the actual statistical calculations).

Why bother?


In the following example program below, a sample of discounted payoffs from Monte Carlo process has been hard-coded and two statistical measures are then calculated and printed out.

void MonteCarloProcess()
{
 // process has been producing the following discounted payoffs
 // for this sample : average = 10.4881, standard error = 1.58502
 double discountedPayoffs[] = { 18.5705, 3.31508, 0.0, 3.64361, 0.0, 0.0, 
  47.2563, 10.6534, 85.5559, 0.0, 30.2363, 0.0, 17.8391, 2.15396, 0.0, 
  66.587, 0.0, 9.19303, 0.0, 0.0, 24.2946, 29.6556, 0.0, 0.0, 0.0, 65.926, 
  0.0, 14.0329, 1.43328, 0.0, 0.0, 0.0, 1.37088, 0.0, 2.49095, 21.4755, 
  36.5432, 0.0, 16.8795, 0.0, 0.0, 0.0, 19.8927, 11.3132, 37.3946, 10.2666, 
  26.1932, 0.0, 0.551356, 29.7159, 0.0, 31.5357, 0.0, 0.0, 4.64357, 4.45376, 
  21.6076, 12.693, 16.0065, 0.0, 0.0, 0.0, 0.0, 25.9665, 18.7169, 2.55222, 
  25.6431, 8.5027, 0.0, 0.0, 29.8704, 0.0, 22.7266, 22.8463, 0.0, 0.0, 0.0, 
  0.0, 4.90832, 13.2787, 0.0, 0.0, 9.77076, 24.5855, 12.6094, 0.0, 0.0, 1.92343, 
  5.66301, 0.0, 0.0, 13.6968, 0.0, 0.0, 35.2159, 0.0, 8.44648, 7.21964, 0.0, 19.2949 };
 //
 // dump array data into vector
 std::vector<double> data(discountedPayoffs, std::end(discountedPayoffs));
 //
 // calculate and print mean and standard error
 double mean = AlgorithmLibrary::Mean(data);
 double standardError = AlgorithmLibrary::StandardError(data);
 std::cout << mean << std::endl;
 std::cout << standardError << std::endl;
}

There is nothing fundamentally wrong in this example, but a great deal of it could be done in a bit different manner. The scheme presented in this example offers a chance to explore some modern tools for implementing flexible and configurable C++ programs.

Chinese walls


Personally, I would prefer to separate data (discounted payoffs) and algorithms (mean, standard error) completely. Ultimately, I would like to have a design, in which a process (monte carlo) is generating results and adding those results into a separate container. Whenever this process is finished, it will send a reference of this container for several entities, which will calculate all required statistics independently.

There are many ways to implement this kind of a scheme, but I have been heavily influenced by delegates stuff I have learned from C#. Needless to say, the equivalent mechanism for C# delegate in C++ is a function pointer. However, instead of raw function pointer I will use Boost.Function and Boost.Bind libraries.

My new design proposal will have the following components :
  • AlgorithmLibrary for calculating different statistical measures. The header file for this contains collection of methods for calculating different statistical measures.
  • ResultContainer class for storing processed results and function pointers (boost function) which are sending processed results for further calculations.
  • StatisticsElement class for storing a value of statistical measure and function pointer (boost function) for an algorithm, which can be used for calculating required statistical measure.

 

Strangers in the night


In the first stage, StatisticsElement object will be created. This object will host a single statistical measure and a pointer to an algorithm (boost function) for calculating this specific measure. By giving required algorithm as a pointer (boost function), the object is not tied with any hard-coded algorithm. In the case there would be a need for another type for algorithm implementation for calculating required statistical measure, the scheme is flexible enough to be adjusted. In the constructor of this class, we are giving this pointer to an algorithm (boost function). Moreover, this object will be indirectly connected with ResultContainer object with a function pointer (boost function). Function pointer (boost function) will be created and binded (boost bind) with the specific method (process) of StatisticsElement object.

In the second stage, ResultContainer object will be created and all previously created function pointers (boost function, boost bind) for processing calculation results will be added into ResultContainer. This object is ultimately being shared with a process. Process will generate its results (double) and these results will be added into container object. When a process is finished, container object method (sendResults) will be called. The call for this method will trigger a loop, which will iterate through a vector of function pointers (boost function) and sending a reference for a result vector to all connected StatisticsElement objects.

Finally, the client program (in this example : main) will request the calculated statistical measures directly from all StatisticsElement objects. It should be stressed, that these two objects described above, do not have any knowledge about each other at any point. ResultContainer is just storing updates from a process and finally sending results "to somewhere" when the processing is over. StatisticsElement objects are processing their own calculation procedures as soon as they will receive results "from somewhere". It should also be noted, that this design actually implements observer pattern, where ResultContainer object is Observable and StatisticalElement objects are Observers.


Proposal


// ResultContainer.h
#pragma once
#include <vector>
#include <boost\function.hpp>
//
// class for storing processed results and function pointers 
// which are sending results for further processing
class ResultContainer
{
private:
 // container for storing processed results
 std::vector<double> results;
 // container for storing function pointers
 std::vector<boost::function<void
  (const std::vector<double>&)>> resultSenders;
public:
 // method for adding one processed result into container
 void addResult(double result);
 // method for adding one function pointer into container
 void addResultSender(boost::function<void
  (const std::vector<double>&)> resultSender);
 // method for sending all processed results
 void sendResults() const;
};
//
//
//
// StatisticsElement.h
#pragma once
#include <vector>
#include <boost\function.hpp>
//
// class for storing a value of statistical measure and 
// function pointer for an algorithm which can be used 
// for calculating required statistical measure
class StatisticsElement
{
private:
 // statistical measure
 double statisticsValue;
 // function pointer to an algorithm which calculates 
 // required statistical measure
 boost::function<double(const std::vector<double>&)> algorithm;
public:
 // parameter constructor
 StatisticsElement(boost::function<double
  (const std::vector<double>&)> algorithm);
 // method for processing data in order to 
 // calculate required statistical measure
 void process(const std::vector<double>& data);
 // method (overloaded operator) for accessing 
 // calculated statistical measure
 double operator()() const;
};
//
//
//
// AlgorithmLibrary.h
#pragma once
#include <vector>
#include <numeric>
//
// algorithms library for calculating statistical measures
namespace AlgorithmLibrary
{
 // calculate arithmetic average
 double Mean(const std::vector<double>& data) 
 { 
  return std::accumulate(data.begin(), data.end(), 0.0) 
   / data.size(); 
 }
 // calculate standard error estimate
 double StandardError(const std::vector<double>& data) 
 { 
  double mean = AlgorithmLibrary::Mean(data);
  double squaredSum = std::inner_product(data.begin(), 
   data.end(), data.begin(), 0.0);
  return std::sqrt(squaredSum / data.size() - mean * mean) 
   / std::sqrt(data.size());
 }
}
//
//
//
// ResultContainer.cpp
#include "ResultContainer.h"
//
void ResultContainer::addResult(double result)
{
 results.push_back(result);
}
void ResultContainer::addResultSender(boost::function<void
 (const std::vector<double>&)> resultSender)
{
 resultSenders.push_back(resultSender);
}
void ResultContainer::sendResults() const
{
 std::vector<boost::function<void
  (const std::vector<double>&)>>::const_iterator it;
 for(it = resultSenders.begin(); it != resultSenders.end(); it++)
 {
  (*it)(results);
 }
}
//
//
//
// StatisticsElement.cpp
#include "StatisticsElement.h"
//
StatisticsElement::StatisticsElement(boost::function<double
 (const std::vector<double>&)> algorithm) 
 : statisticsValue(0.0), algorithm(algorithm) 
{
 //
}
void StatisticsElement::process(const std::vector<double>& data)
{
 if(algorithm != NULL) statisticsValue = algorithm(data);
}
double StatisticsElement::operator()() const
{
 return statisticsValue;
}
//
//
//
// MainProgram.cpp
#include <boost\bind.hpp>
#include <iostream>
#include "AlgorithmLibrary.h"
#include "ResultContainer.h"
#include "StatisticsElement.h"
//
void MonteCarloProcess(ResultContainer& resultContainer)
{
 // process has been producing the following discounted payoffs
 // for this sample : average = 10.4881, standard error = 1.58502
 double discountedPayoffs[] = { 18.5705, 3.31508, 0.0, 3.64361, 0.0, 0.0, 
  47.2563, 10.6534, 85.5559, 0.0, 30.2363, 0.0, 17.8391, 2.15396, 0.0, 
  66.587, 0.0, 9.19303, 0.0, 0.0, 24.2946, 29.6556, 0.0, 0.0, 0.0, 65.926, 
  0.0, 14.0329, 1.43328, 0.0, 0.0, 0.0, 1.37088, 0.0, 2.49095, 21.4755, 
  36.5432, 0.0, 16.8795, 0.0, 0.0, 0.0, 19.8927, 11.3132, 37.3946, 10.2666, 
  26.1932, 0.0, 0.551356, 29.7159, 0.0, 31.5357, 0.0, 0.0, 4.64357, 4.45376, 
  21.6076, 12.693, 16.0065, 0.0, 0.0, 0.0, 0.0, 25.9665, 18.7169, 2.55222, 
  25.6431, 8.5027, 0.0, 0.0, 29.8704, 0.0, 22.7266, 22.8463, 0.0, 0.0, 0.0, 
  0.0, 4.90832, 13.2787, 0.0, 0.0, 9.77076, 24.5855, 12.6094, 0.0, 0.0, 1.92343, 
  5.66301, 0.0, 0.0, 13.6968, 0.0, 0.0, 35.2159, 0.0, 8.44648, 7.21964, 0.0, 19.2949 };
 //
 // dump array data into vector
 std::vector<double> data(discountedPayoffs, std::end(discountedPayoffs));
 // create vector iterator, loop through data and add items into result container object
 std::vector<double>::const_iterator it;
 for(it = data.begin(); it != data.end(); it++)
 {
  resultContainer.addResult(*it);
 }
 // trigger result processing for all 'connected' statistical element objects
 resultContainer.sendResults();
}
//
int main()
{
 // create : function pointer to mean algorithm, statistics element 
 // and function pointer to process method of this statistics element
 boost::function<double(const std::vector<double>&)> meanAlgorithm = 
  AlgorithmLibrary::Mean;
 StatisticsElement mean(meanAlgorithm);
 boost::function<void(const std::vector<double>&)> resultSenderForMean = 
  boost::bind(&StatisticsElement::process, &mean, _1);
 //
 // create : function pointer to standard error algorithm, statistics element and 
 // function pointer to process method of this statistics element
 boost::function<double(const std::vector<double>&)> standardErrorAlgorithm = 
  AlgorithmLibrary::StandardError;
 StatisticsElement standardError(standardErrorAlgorithm);
 boost::function<void(const std::vector<double>&)> resultSenderForStandardError = 
  boost::bind(&StatisticsElement::process, &standardError, _1);
 //
 // create : result container and add previously created function 
 // pointers (senders) into container
 ResultContainer resultContainer;
 resultContainer.addResultSender(resultSenderForMean);
 resultContainer.addResultSender(resultSenderForStandardError);
 //
 // run (hard-coded) monte carlo process
 MonteCarloProcess(resultContainer);
 //
 // print results from the both statistics elements
 std::cout << mean() << std::endl;
 std::cout << standardError() << std::endl;
 return 0;
}


Help


Concerning the actual installation and configuration of Boost libraries with compiler, there is a great tutorial by eefelix available in youtube. For using Boost libraries, there is a document available, written by Dimitri Reiswich. Personally, I would like to present my appreciations for these persons for their great contribution.

Thanks for reading my blog. Have a pleasant wait for the Christmas.
-Mike

Saturday, July 11, 2015

Pricing Bloomberg Swap Manager Transactions with C#

From time to time, I need to have reliable second opinion or benchmark valuation for a given book of swap transactions. Bloomberg Swap Manager (SWPM) is just a great tool for pricing many different kinds of swaps and other types of transactions. In this small project, we are constructing a program, which can be used to request valuation fields for several portfolios (one portfolio is a list of Swap Manager transactions ID's stored in source file). Program is using Bloomberg C# API for requesting valuation fields from Bloomberg.

SWAP MANAGER AND FIELD SEARCH

Let us assume, that the following cross-currency basis swap transaction has been created and stored in Bloomberg Swap Manager. Note, that when the transaction is stored, Swap Manager is automatically creating identification code for this transaction (SL5Q3637 - on the upper right corner of the screen).



















When using Bloomberg Field Search (FLDS) for this transaction (SL5Q3637 Corp), I can request all the fields (static, calculated) what are available in any of the Swap Manager screens. Just as one example, we see that in the transaction screen above, dirty PV for this swap is 12 157 660 EUR (for historical valuation date 5.6.2015).







Field search is showing the value of  11 889 635 EUR (SW_MARKET_VAL). However, since the transaction valuation date is historical, we need to override settlement and curve date. Clicking SW_MARKET_VAL (dirty PV) field in the Field Search screen will show all the parameters, what are available for overriding for this particular field.















By overriding SETTLE_DT and SW_CURVE_DT,  PV (SW_MARKET_VAL) is 12 157 660 EUR, which is exactly the same as in our initial transaction screen above. Note, that if you are valuing any transaction per historical date, the both fields (settlement data, curve date) have to have the same date value.

Now we come to the beef of this posting : since we can use Bloomberg Field Search for finding a value for any fields what are available in any of the Swap Manager screens, we can also request values for those fields by using Bloomberg API. The easiest way is just to use Excel and Bloomberg-addin function BDP (security = SL5Q3637 Corp, field = SW_MARKET_VAL). Another way is to request those fields programmatically, by using Bloomberg programming API. In this posting, we are using the latter approach.

PROGRAM INPUT AND OUTPUT

A list of swap transactions (which have already been created and stored in Swap Manager) for a given portfolio (tradingSwaps in this example) is defined in the transaction source file (csv).














The program is producing the following output for a given portfolio of swap transactions (using current configurations).














CONFIGURATION FILES


Application configurations file (App.Config in C# project) is only defining repository folder for all individual portfolio configurations. It should be noted, that we can have several different portfolio configurations at the same time in that repository folder.











Single portfolio configuration file (as shown in the picture below) defines the following information
  • Portfolio name
  • Source data path and file name
  • Field separator for source file
  • Bloomberg fields to be requested
  • Possible Bloomberg override fields
  • Possible Bloomberg override values
  • Type of target output (file, console, excel, etc)
  • Path and file name for output file (if not console)










By handling portfolio construction via individual configuration files, we are achieving a lot of flexibility into this program. For example, different portfolios can
  • read source data (Bloomberg transaction ID's) from any given source data file.
  • have completely different set of Bloomberg request fields and set of field overrides.
  • be printed out into different target medium (console, csv, xml, web-page, Excel, etc).

In a nutshell, the program is first finding configurations repository folder based on the information given in Application configurations file (App.Config). After this, the program is constructing N portfolio configuration objects for all existing configuration files given in repository folder. Finally, program is using Bloomberg API for requesting data for each configuration and then printing out the results based on given configuration.

PROGRAM DESIGN


UML class diagram has been presented below.


GREEN
In the first stage, Configuration objects has to be created. In this example program, Client is sending creation request for static Configurations class. Static Configurations class is then using concrete XMLConfigurationBuilder (implementation of abstract ConfigurationBuilder) to create Configuration objects. Static Configuration class has one to many Configuration objects. Static Configurations class is available for all the other objects during the program execution.

THISTLE
In the second stage, PortfolioProcessor object has to be created. Client is sending creation request for one concrete FileProcessorBuilder (implementation of abstract PortfolioProcessorBuilder) to build one PortfolioProcessor object. On a general level, PortfolioProcessor is hosting several other objects: one to many Portfolio objects (aggregation), one BBCOMMWrapper object (composition) and one to many PortfolioVisitor objects (aggregation).

YELLOW
PortfolioProcessor has one BBCOMMWrapper object (composition) for requesting data from Bloomberg by using BBCOMM Server API. For any portfolio being processed, all data fields (and optional field overrides), which are going to be requested from Bloomberg API, have been defined inside static Configurations class.

TURQUOISE
There is a hierarchy of objects. PortfolioProcessor object has one to many Portfolio objects (aggregation). One Portfolio object has one to many Contract objects (aggregation). One Contract object has one to many Field objects (aggregation). Essentially, when PortfolioProcessor is executing its Process method, it will request results from BBCOMMWrapper object for all contracts and data fields, for all Portfolio objects which are hosted inside PortfolioProcessor object. After receiving results from BBCOMMWrapper object, it will then export all results into corresponding Field objects for each Contract and Portfolio.

WHEAT
When PortfolioProcessor object is being built, concrete FileProcessorBuilder is also using PortfolioVisitorFactory object for creating one or more concrete Visitor objects. References of those Visitor objects are stored inside PortfolioProcessor (aggregation). Essentially, PortfolioProcessor object method Print will print all results (values from stored in Field objects inside Contract objects for each Portfolio object) into selected target medium. For this task, PortfolioProcessor object is using one or more Visitor objects (specific Visitor type for each Portfolio).

THE PROGRAM

It should be noted, that each class (or class hierarchy) should be copy-pasted into a separate cs-file. References to Bloomberg API and System.Configuration should be made in order to compile this program.

// file : Program.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Configuration;
using System.IO;
using System.Xml;

namespace PortfolioValuation
{
    // CLIENT
    class Program
    {
        static void Main(string[] args)
        {
            try
            {
                // build static configurations from pre-defined configuration files for each portfolio
                Configurations.Build(new XMLConfigurationBuilder());
                //
                // build swap manager object from a given file information
                PortfolioProcessorBuilder swapManagerBuilder = new FileProcessorBuilder();
                PortfolioProcessor swapManager = swapManagerBuilder.Build();
                //
                // process and print portfolio
                swapManager.Process();
                swapManager.Print();
            }
            catch (Exception e)
            {
                Console.WriteLine(e.Message);
            }
            Console.WriteLine("Program has been executed");
            Console.ReadLine();
        }
    }
}
//
//
// file : PortfolioProcessorBuilder.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Configuration;

namespace PortfolioValuation
{
    // builder for swap manager object - class hierarchy
    public abstract class PortfolioProcessorBuilder
    {
        public abstract PortfolioProcessor Build();
    }
    // build data for swap manager object using source files
    public class FileProcessorBuilder : PortfolioProcessorBuilder
    {
        public override PortfolioProcessor Build()
        {
            // build portfolio and visitor objects based on configurations
            List<Portfolio> portfolios = new List<Portfolio>();
            List<PortfolioVisitor> visitors = new List<PortfolioVisitor>();
            //
            // loop through configurations
            for (int i = 0; i < Configurations.N; i++)
            {
                // get one configuration, create portfolio object and
                // read source data (isin codes) for this portfolio
                Configuration table = Configurations.Get(i);
                string ID = table.ID;
                Portfolio portfolio = new Portfolio(ID);
                List<string> sourceData = new List<string>();
                TextFileHandler.Read(table.Get("sourcedatafilepathname"), sourceData);
                //
                // create empty contracts into portfolio
                char fieldSeparator = Convert.ToChar(Configurations.Get(ID, "fieldseparator"));
                sourceData.ForEach(it =>
                {
                    if (it.Split(Convert.ToChar(fieldSeparator))[0] == ID)
                        portfolio.AddContract(new Contract(it.Split(fieldSeparator)[1]));
                });
                //
                // decision : portfolio must have at least one contract
                if (portfolio.Count() == 0) throw new Exception("builder : empty portfolio error");
                //
                // request visitor for swap manager object, created by factory method
                PortfolioOutputVisitorFactory factory = new PortfolioOutputVisitorFactory();
                string visitorType = table.Get("visitortype");
                PortfolioVisitor visitor = factory.CreatePortfolioOutputVisitor(visitorType);
                portfolios.Add(portfolio);
                visitors.Add(visitor);
            }
            // return constructed swap manager objects for a client
            return new PortfolioProcessor(portfolios, visitors);
        }
    }
}
//
//
// file : PortfolioProcessor.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace PortfolioValuation
{
    public class PortfolioProcessor
    {
        private BBCOMMDataRequest bloombergAPI;
        private List<PortfolioVisitor> visitors;
        private List<Portfolio> portfolios;
        private List<string> securities;
        private List<string> bloombergFields;
        private List<string> bloombergOverrideFields;
        private List<string> bloombergOverrideValues;
        //
        public PortfolioProcessor(List<Portfolio> portfolios, List<PortfolioVisitor> visitors)
        {
            this.portfolios = portfolios;
            this.visitors = visitors;
        }
        public void Process()
        {
            // process all portfolios
            foreach (Portfolio portfolio in portfolios)
            {
                // create information for Bloomberg API
                string ID = portfolio.ID;
                char fieldSeparator = Convert.ToChar(Configurations.Get(ID, "fieldseparator"));
                securities = portfolio.Select(it => it.Isin).ToList();
                //
                bloombergFields = Configurations.Get(ID, "bloombergfields").Split(fieldSeparator).ToList<string>();
                bloombergOverrideFields = Configurations.Get(ID, "bloombergoverridefields").Split(fieldSeparator).ToList<string>();
                bloombergOverrideValues = Configurations.Get(ID, "bloombergoverridevalues").Split(fieldSeparator).ToList<string>();
                //
                // decision : override collections always has to be provided
                if ((bloombergOverrideFields == null) || (bloombergOverrideValues == null))
                    throw new Exception("swap manager : null override collection error");
                //
                // create reference data request for Bloomberg API
                if ((bloombergOverrideFields.Count != 0) && (bloombergOverrideValues.Count != 0))
                {
                    // data request with overrides
                    bloombergAPI = new ReferenceDataRequest(securities, bloombergFields, bloombergOverrideFields, bloombergOverrideValues);
                }
                else
                {
                    // data request without overrides
                    bloombergAPI = new ReferenceDataRequest(securities, bloombergFields);
                }
                // receive requested data
                dynamic[, ,] result = bloombergAPI.ProcessData();
                //
                // process bloomberg results into portfolio contracts and fields
                int nFields = bloombergFields.Count;
                int nSecurities = securities.Count;
                for (int i = 0; i < nSecurities; i++)
                {
                    for (int j = 0; j < nFields; j++)
                    {
                        Field field = new Field(bloombergFields[j], result[i, 0, j]);
                        portfolio.UpdateContract(securities[i], field);
                    }
                }
            }
        }
        public void Print()
        {
            // delegate accept requests for portfolio objects
            for (int i = 0; i < portfolios.Count; i++)
            {
                portfolios[i].AcceptVisitor(visitors[i]);
            }
        }
    }
}
//
//
// file : TextFileHandler.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.IO;

namespace PortfolioValuation
{
    public static class TextFileHandler
    {
        public static void Read(string filePathName, List<string> output)
        {
            // read file content into list
            StreamReader reader = new StreamReader(filePathName);
            while (!reader.EndOfStream)
            {
                output.Add(reader.ReadLine());
            }
            reader.Close();
        }
        public static void Write(string filePathName, List<string> input, bool append)
        {
            // write text stream list to file
            StreamWriter writer = new StreamWriter(filePathName, append);
            input.ForEach(it => writer.WriteLine(it));
            writer.Close();
        }
    }
}
//
//
// file : PortfolioVisitor.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Configuration;

namespace PortfolioValuation
{
    // output visitor - class hierarchy
    public abstract class PortfolioVisitor
    {
        public abstract void Visit(Portfolio portfolio);
    }
    public class ConsolePortfolioVisitor : PortfolioVisitor
    {
        public override void Visit(Portfolio portfolio)
        {
            //Configuration configuration
            foreach (Contract contract in portfolio)
            {
                string fieldSeparator = Configurations.Get(portfolio.ID, "fieldseparator");
                StringBuilder sb = new StringBuilder();
                foreach (Field f in contract)
                {
                    sb.Append(f.Value);
                    sb.Append(fieldSeparator);
                }
                // print the content of string builder into console
                Console.WriteLine(sb.ToString());
            }
        }
    }
    public class FilePortfolioVisitor : PortfolioVisitor
    {
        public override void Visit(Portfolio portfolio)
        {
            // extract filePathName for a given portfolio from configuration table
            string fieldSeparator = Configurations.Get(portfolio.ID, "fieldseparator");
            List<string> resultDataFilePathNames = Configurations.Get(portfolio.ID, "resultdatafilepathname").Split(Convert.ToChar(fieldSeparator)).ToList();
            List<string> portfolioIDs = Configurations.Get(portfolio.ID, "portfolioid").Split(Convert.ToChar(fieldSeparator)).ToList();
            string resultDataFilePathName = null;
            for (int i = 0; i < portfolioIDs.Count; i++)
            {
                if(portfolioIDs[i] == portfolio.ID)
                {
                    resultDataFilePathName = resultDataFilePathNames[i];
                    break;
                }
            }
            List<string> fileOutputList = new List<string>();
            StringBuilder sb = new StringBuilder();
            //
            foreach (Contract contract in portfolio)
            {
                // add all fields into string builder object
                foreach (Field f in contract)
                {
                    sb.Append(f.Value);
                    sb.Append(fieldSeparator);
                }
                // add constructed string into output list and clear string builder
                fileOutputList.Add(sb.ToString());
                sb.Clear();
            }
            // print the content of output list into file
            TextFileHandler.Write(resultDataFilePathName, fileOutputList, false);
        }
    }
}
//
//
// file : PortfolioConfiguration.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace PortfolioValuation
{
    public class PortfolioConfiguration
    {
        // private member data
        public readonly string ID;
        private Dictionary<string, string> configurationTable = new Dictionary<string, string>();
        //
        public PortfolioConfiguration(string ID)
        {
            this.ID = ID;
        }
        // add key-value pair
        public void Add(string key, string value)
        {
            // decision : configuration table cannot contain two identical keys
            if (configurationTable.ContainsKey(key))
                throw new Exception("configuration table : duplicate key error");
            configurationTable.Add(key, value);
        }
        // get value for a given key
        public string Get(string key)
        {
            // decision : value for a given key cannot be returnde if it does not exist
            if (!configurationTable.ContainsKey(key))
                throw new Exception("configuration table : invalid key error");
            return configurationTable[key];
        }
        // clear all key-value pairs
        public void Clear()
        {
            // clear all configurations
            configurationTable.Clear();
        }
    }
}
//
//
// file : Portfolio.cs
using System;
using System.Collections.Generic;
using System.Collections;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace PortfolioValuation
{
    public class Portfolio : IEnumerable<Contract>
    {
        // private member data
        public readonly string ID;
        private List<Contract> contracts;
        //
        // ctor
        public Portfolio(string ID)
        {
            this.ID = ID;
            contracts = new List<Contract>();
        }
        // add one contract into list of contracts
        public void AddContract(Contract contract)
        {
            // decision : portfolio cannot contain two identical contracts
            if(contracts.Exists(it => it.Isin == contract.Isin))
                throw new Exception("portfolio : duplicate contract error");
            contracts.Add(contract);
        }
        // update existing contract in list of contracts
        public void UpdateContract(string isin, Field field)
        {
            // contract cannot be updated if it does not exist
            if (!contracts.Exists(it => it.Isin == isin))
                throw new Exception("portfolio : update contract error");
            //
            for (int i = 0; i < contracts.Count; i++)
            {
                if (contracts[i].Isin == isin)
                {
                    contracts[i].AddField(field);
                    break;
                }
            }
        }
        // implementation for generic IEnumerable
        public IEnumerator<Contract> GetEnumerator()
        {
            foreach (Contract contract in contracts)
            {
                yield return contract;
            }
        }
        // implementation for non-generic IEnumerable
        IEnumerator IEnumerable.GetEnumerator()
        {
            return GetEnumerator();
        }
        // implementation method for visitor pattern
        public void AcceptVisitor(PortfolioVisitor visitor)
        {
            // send this-object (portfolio) for visitor implementation
            visitor.Visit(this);
        }
    }
}
//
//
// file : PortfolioOutputVisitorFactory.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace PortfolioValuation
{
    public class PortfolioOutputVisitorFactory
    {
        // create output visitor
        public PortfolioVisitor CreatePortfolioOutputVisitor(string visitorType)
        {
            // HARD-CODED selection of output visitors
            // add new visitor type into switch branch and write 
            // implementation into visitor class hierarchy
            PortfolioVisitor visitor = null;
            switch (visitorType)
            {
                case "console":
                    visitor = new ConsolePortfolioVisitor();
                    break;
                case "file":
                    visitor = new FilePortfolioVisitor();
                    break;
                default:
                    throw new Exception("factory : undefined visitor error");
            }
            return visitor;
        }
    }
}
//
//
// file : Field.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace PortfolioValuation
{
    public class Field
    {
        // private data and read-only accessors
        private KeyValuePair<string, dynamic> kvp;
        public string Key { get { return kvp.Key; } }
        public dynamic Value { get { return kvp.Value; } }
        //
        // ctor
        public Field(string key, dynamic value)
        {
            kvp = new KeyValuePair<string, dynamic>(key, value);
        }
    }
}
//
//
// file : Contract.cs
using System;
using System.Collections.Generic;
using System.Collections;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace PortfolioValuation
{
    public class Contract : IEnumerable<Field>
    {
        // private data and read-only accessor
        private string isin;
        private List<Field> fields;
        public string Isin { get { return isin; } }
        //
        // ctor
        public Contract(string isin)
        {
            this.isin = isin;
            fields = new List<Field>();
        }
        // add one field into list of fields
        public void AddField(Field field)
        {
            // decision : contract cannot contain two identical fields
            if (fields.Exists(it => it.Key == field.Key))
                throw new Exception("contract : duplicate field error");
            fields.Add(field);
        }
        // implementation for generic IEnumerable
        public IEnumerator<Field> GetEnumerator()
        {
            foreach (Field field in fields)
            {
                yield return field;
            }
        }
        // implementation for non-generic IEnumerable
        IEnumerator IEnumerable.GetEnumerator()
        {
            return GetEnumerator();
        }
    }
}
//
//
// file : Configurations.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace PortfolioValuation
{
    // static wrapper class for all configurations
    public static class Configurations
    {
        // static members and accessors
        private static int n;
        public static int N { get { return Configurations.n; } }
        private static List<Configuration> tables = null;
        //
        // ctor
        public static void Build(ConfigurationBuilder builder)
        {
            tables = builder.Build();
            n = tables.Count;
        }
        public static string Get(string ID, string key)
        {
            string value = null;
            foreach (Configuration table in tables)
            {
                if (table.ID == ID)
                {
                    value = table.Get(key);
                    break;
                }
            }
            return value;
        }
        public static Configuration Get(int index)
        {
            return tables[index];
        }
    }
}
//
//
// file : ConfigurationBuilder.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Xml;
using System.Xml.Linq;
using System.IO;
using System.Configuration;

namespace PortfolioValuation
{
    // class hierarchy for configuration builder
    public abstract class ConfigurationBuilder
    {
        public abstract List<Configuration> Build();
    }
    public class XMLConfigurationBuilder : ConfigurationBuilder
    {
        private string folderPath;
        private List<Configuration> configurations;
        public XMLConfigurationBuilder()
        {
            // read path to source folder containing configurations for all portfolios directly from system configuration file
            this.folderPath = ConfigurationManager.AppSettings["PortfolioConfigurationsFolder"].ToString();
            configurations = new List<Configuration>();
        }
        public override List<Configuration> Build()
        {
            foreach (string filePathName in Directory.GetFiles(folderPath))
            {
                XDocument database = XDocument.Load(filePathName);
                Dictionary<string, string> pairs = database.Descendants("configuration")
                    .Elements().ToDictionary(r => r.Attribute("key").Value.ToString(),
                    r => r.Attribute("value").Value.ToString());
                configurations.Add(new Configuration(pairs["portfolioid"], pairs));
            }
            return configurations;
        }
    }
}
//
//
// file : Configuration.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace PortfolioValuation
{
    public class Configuration
    {
        public readonly string ID;
        private Dictionary<string, string> pairs;
        //
        // ctor
        public Configuration(string ID, Dictionary<string, string> pairs)
        {
            this.ID = ID;
            this.pairs = pairs;
        }
        // accessor method
        public string Get(string key)
        {
            // decision : value for a given key cannot be returned if it does not exist
            if (!pairs.ContainsKey(key))
                throw new Exception("configuration : invalid key error"); 
            return this.pairs[key];
        }
    }
}
//
//
// file : BBCOMMWrapper.cs
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using BBCOMM = Bloomberglp.Blpapi;

namespace PortfolioValuation
{
    // enumerators for historical data request settings
    public enum E_PRICING_OPTION { PRICING_OPTION_PRICE, PRICING_OPTION_YIELD };
    public enum E_PERIODICITY_ADJUSTMENT { ACTUAL, CALENDAR, FISCAL };
    public enum E_PERIODICITY_SELECTION { DAILY, WEEKLY, MONTHLY, QUARTERLY, SEMI_ANNUALLY, YEARLY };
    public enum E_NON_TRADING_DAY_FILL_OPTION { NON_TRADING_WEEKDAYS, ALL_CALENDAR_DAYS, ACTIVE_DAYS_ONLY };
    public enum E_NON_TRADING_DAY_FILL_METHOD { PREVIOUS_VALUE, NIL_VALUE };
    //
    // abstract base class for data request
    public abstract class BBCOMMDataRequest
    {
        // BBCOMM names
        protected readonly BBCOMM.Name SECURITY_DATA = new BBCOMM.Name("securityData");
        protected readonly BBCOMM.Name FIELD_DATA = new BBCOMM.Name("fieldData");
        protected readonly BBCOMM.Name FIELD_ID = new BBCOMM.Name("fieldId");
        protected readonly BBCOMM.Name VALUE = new BBCOMM.Name("value");
        protected readonly BBCOMM.Name OVERRIDES = new BBCOMM.Name("overrides");
        protected readonly BBCOMM.Name SECURITIES = new BBCOMM.Name("securities");
        protected readonly BBCOMM.Name FIELDS = new BBCOMM.Name("fields");
        protected readonly BBCOMM.Name SEQUENCE_NUMBER = new BBCOMM.Name("sequenceNumber");
        protected readonly BBCOMM.Name START_DATE = new BBCOMM.Name("startDate");
        protected readonly BBCOMM.Name END_DATE = new BBCOMM.Name("endDate");
        protected readonly BBCOMM.Name DATE = new BBCOMM.Name("date");
        protected readonly BBCOMM.Name PRICING_OPTION = new BBCOMM.Name("pricingOption");
        protected readonly BBCOMM.Name PERIODICITY_ADJUSTMENT = new BBCOMM.Name("periodicityAdjustment");
        protected readonly BBCOMM.Name PERIODICITY_SELECTION = new BBCOMM.Name("periodicitySelection");
        protected readonly BBCOMM.Name NON_TRADING_DAY_FILL_OPTION = new BBCOMM.Name("nonTradingDayFillOption");
        protected readonly BBCOMM.Name NON_TRADING_DAY_FILL_METHOD = new BBCOMM.Name("nonTradingDayFillMethod");
        protected readonly BBCOMM.Name OVERRIDE_CURRENCY = new BBCOMM.Name("currency");
        //
        // const strings, enumerators, etc.
        protected readonly string NOT_AVAILABLE = "#N/A";
        protected readonly string SESSION_EXCEPTION = "Session not started";
        protected readonly string SERVICE_EXCEPTION = "Service not opened";
        protected readonly string REQUEST_TYPE_REFERENCE = "ReferenceDataRequest";
        protected readonly string REQUEST_TYPE_HISTORICAL = "HistoricalDataRequest";
        protected readonly string REFERENCE_DATA_SERVICE = "//blp/refdata";
        protected readonly string BLOOMBERG_DATE_FORMAT = "yyyyMMdd";
        protected E_PRICING_OPTION pricingOption;
        protected E_PERIODICITY_ADJUSTMENT periodicityAdjustment;
        protected E_PERIODICITY_SELECTION periodicitySelection;
        protected E_NON_TRADING_DAY_FILL_OPTION nonTradingDayFillOption;
        protected E_NON_TRADING_DAY_FILL_METHOD nonTradingDayFillMethod;
        protected string requestType;
        protected string startDate;
        protected string endDate;
        protected string overrideCurrency;
        //
        // wrapped BBCOMM objects
        protected BBCOMM.Session session;
        protected BBCOMM.Service service;
        protected BBCOMM.Request request;
        //
        // input data structures
        protected List<string> securityNames = new List<string>();
        protected List<string> fieldNames = new List<string>();
        protected List<string> overrideFields = new List<string>();
        protected List<string> overrideValues = new List<string>();
        //
        // output result data structure
        protected dynamic[, ,] result;
        //
        public dynamic[, ,] ProcessData()
        {
            Open();
            CreateRequest();
            SendRequest();
            Close();
            return result;
        }
        private void Open()
        {
            // create and start bloomberg BBCOMM session
            BBCOMM.SessionOptions sessionOptions = new BBCOMM.SessionOptions();
            session = new BBCOMM.Session(sessionOptions);
            if (!session.Start()) throw new Exception(SESSION_EXCEPTION);
            //
            // get service from session object and create request by service object
            if (!session.OpenService(REFERENCE_DATA_SERVICE)) throw new Exception(SERVICE_EXCEPTION);
            service = session.GetService(REFERENCE_DATA_SERVICE);
            request = service.CreateRequest(requestType);
        }
        private void CreateRequest()
        {
            // append securities, fields
            foreach (string securityName in securityNames) request.Append(SECURITIES, securityName);
            foreach (string fieldName in fieldNames) request.Append(FIELDS, fieldName);
            //
            // conditionally, append overrides into request object
            if (overrideFields.Count > 0)
            {
                BBCOMM.Element requestOverrides = request.GetElement(OVERRIDES);
                for (int i = 0; i < overrideFields.Count; i++)
                {
                    BBCOMM.Element requestOverride = requestOverrides.AppendElement();
                    requestOverride.SetElement(FIELD_ID, overrideFields[i]);
                    requestOverride.SetElement(VALUE, overrideValues[i]);
                }
            }
            // set optional parameters for historical data request
            if (requestType == REQUEST_TYPE_HISTORICAL)
            {
                request.Set(START_DATE, startDate);
                request.Set(END_DATE, endDate);
                request.Set(PRICING_OPTION, pricingOption.ToString());
                request.Set(PERIODICITY_ADJUSTMENT, periodicityAdjustment.ToString());
                request.Set(PERIODICITY_SELECTION, periodicitySelection.ToString());
                request.Set(NON_TRADING_DAY_FILL_OPTION, nonTradingDayFillOption.ToString());
                request.Set(NON_TRADING_DAY_FILL_METHOD, nonTradingDayFillMethod.ToString());
                if (overrideCurrency != String.Empty) request.Set(OVERRIDE_CURRENCY, overrideCurrency);
            }
        }
        private void SendRequest()
        {
            // send constructed request to BBCOMM server
            long ID = Guid.NewGuid().GetHashCode();
            session.SendRequest(request, new BBCOMM.CorrelationID(ID));
            bool isProcessing = true;
            //
            while (isProcessing)
            {
                // receive data response from BBCOMM server, send 
                // response to be processed by sub-classed algorithm
                BBCOMM.Event response = session.NextEvent();
                switch (response.Type)
                {
                    case BBCOMM.Event.EventType.PARTIAL_RESPONSE:
                        ProcessDataResponse(ref response);
                        break;
                    case BBCOMM.Event.EventType.RESPONSE:
                        ProcessDataResponse(ref response);
                        isProcessing = false;
                        break;
                    default:
                        break;
                }
            }
        }
        private void Close()
        {
            // close BBCOMM session
            if (session != null) session.Stop();
        }
        //
        // sub-classes are providing specific algorithm implementations for 
        // processing and packing BBCOMM server response data into resulting data structure
        protected abstract void ProcessDataResponse(ref BBCOMM.Event response);
    }
    //
    // concrete class implementation for processing reference data request
    public class ReferenceDataRequest : BBCOMMDataRequest
    {
        public ReferenceDataRequest(List<string> bloombergSecurityNames,
            List<string> bloombergFieldNames)
        {
            // ctor : create reference data request without field overrides
            requestType = REQUEST_TYPE_REFERENCE;
            securityNames = bloombergSecurityNames;
            fieldNames = bloombergFieldNames;
            //
            // define result data structure dimensions for reference data request
            result = new dynamic[securityNames.Count, 1, fieldNames.Count];
        }
        public ReferenceDataRequest(List<string> bloombergSecurityNames,
            List<string> bloombergFieldNames, List<string> bloombergOverrideFields,
            List<string> bloombergOverrideValues)
        {
            // ctor : create reference data request with field overrides
            requestType = REQUEST_TYPE_REFERENCE;
            securityNames = bloombergSecurityNames;
            fieldNames = bloombergFieldNames;
            overrideFields = bloombergOverrideFields;
            overrideValues = bloombergOverrideValues;
            //
            // define result data structure dimensions for reference data request
            result = new dynamic[securityNames.Count, 1, fieldNames.Count];
        }
        protected override void ProcessDataResponse(ref BBCOMM.Event response)
        {
            // receive response, which contains N securities and M fields
            // event queue can send multiple responses for large requests
            foreach (BBCOMM.Message message in response.GetMessages())
            {
                // extract N securities
                BBCOMM.Element securities = message.GetElement(SECURITY_DATA);
                int nSecurities = securities.NumValues;
                //
                // loop through all securities
                for (int i = 0; i < nSecurities; i++)
                {
                    // extract one security and fields for this security
                    BBCOMM.Element security = securities.GetValueAsElement(i);
                    BBCOMM.Element fields = security.GetElement(FIELD_DATA);
                    int sequenceNumber = security.GetElementAsInt32(SEQUENCE_NUMBER);
                    int nFieldNames = fieldNames.Count;
                    //
                    // loop through all M fields for this security
                    for (int j = 0; j < nFieldNames; j++)
                    {
                        // if the requested field has been found, pack value into result data structure
                        if (fields.HasElement(fieldNames[j]))
                        {
                            result[sequenceNumber, 0, j] = fields.GetElement(fieldNames[j]).GetValue();
                        }
                        // otherwise, pack NOT_AVAILABLE string into data structure
                        else
                        {
                            result[sequenceNumber, 0, j] = NOT_AVAILABLE;
                        }
                    }
                }
            }
        }
    }
    //
    // concrete class implementation for processing historical data request
    public class HistoricalDataRequest : BBCOMMDataRequest
    {
        private bool hasDimensions = false;
        //
        // optional parameters are configured to retrieve time-series having actual daily observations, including all weekdays,
        // in the case of non-trading days the previous date value will be used.
        public HistoricalDataRequest(List<string> bloombergSecurityNames, List<string> bloombergFieldNames,
            DateTime bloombergStartDate, DateTime BloombergEndDate,
            E_PRICING_OPTION bloombergPricingOption = E_PRICING_OPTION.PRICING_OPTION_PRICE,
            E_PERIODICITY_SELECTION bloombergPeriodicitySelection = E_PERIODICITY_SELECTION.DAILY,
            E_PERIODICITY_ADJUSTMENT bloombergPeriodicityAdjustment = E_PERIODICITY_ADJUSTMENT.ACTUAL,
            E_NON_TRADING_DAY_FILL_OPTION bloombergNonTradingDayFillOption = E_NON_TRADING_DAY_FILL_OPTION.ALL_CALENDAR_DAYS,
            E_NON_TRADING_DAY_FILL_METHOD bloombergNonTradingDayFillMethod = E_NON_TRADING_DAY_FILL_METHOD.PREVIOUS_VALUE,
            string bloombergOverrideCurrency = "")
        {
            // ctor : create historical data request without field overrides
            requestType = REQUEST_TYPE_HISTORICAL;
            securityNames = bloombergSecurityNames;
            fieldNames = bloombergFieldNames;
            startDate = bloombergStartDate.ToString(BLOOMBERG_DATE_FORMAT);
            endDate = BloombergEndDate.ToString(BLOOMBERG_DATE_FORMAT);
            //
            pricingOption = bloombergPricingOption;
            periodicitySelection = bloombergPeriodicitySelection;
            periodicityAdjustment = bloombergPeriodicityAdjustment;
            nonTradingDayFillOption = bloombergNonTradingDayFillOption;
            nonTradingDayFillMethod = bloombergNonTradingDayFillMethod;
            overrideCurrency = bloombergOverrideCurrency;
        }
        public HistoricalDataRequest(List<string> bloombergSecurityNames, List<string> bloombergFieldNames,
            DateTime bloombergStartDate, DateTime BloombergEndDate, List<string> bloombergOverrideFields,
            List<string> bloombergOverrideValues,
            E_PRICING_OPTION bloombergPricingOption = E_PRICING_OPTION.PRICING_OPTION_PRICE,
            E_PERIODICITY_SELECTION bloombergPeriodicitySelection = E_PERIODICITY_SELECTION.DAILY,
            E_PERIODICITY_ADJUSTMENT bloombergPeriodicityAdjustment = E_PERIODICITY_ADJUSTMENT.ACTUAL,
            E_NON_TRADING_DAY_FILL_OPTION bloombergNonTradingDayFillOption = E_NON_TRADING_DAY_FILL_OPTION.ALL_CALENDAR_DAYS,
            E_NON_TRADING_DAY_FILL_METHOD bloombergNonTradingDayFillMethod = E_NON_TRADING_DAY_FILL_METHOD.PREVIOUS_VALUE,
            string bloombergOverrideCurrency = "")
        {
            // ctor : create historical data request with field overrides
            requestType = REQUEST_TYPE_HISTORICAL;
            securityNames = bloombergSecurityNames;
            fieldNames = bloombergFieldNames;
            overrideFields = bloombergOverrideFields;
            overrideValues = bloombergOverrideValues;
            startDate = bloombergStartDate.ToString(BLOOMBERG_DATE_FORMAT);
            endDate = BloombergEndDate.ToString(BLOOMBERG_DATE_FORMAT);
            //
            pricingOption = bloombergPricingOption;
            periodicitySelection = bloombergPeriodicitySelection;
            periodicityAdjustment = bloombergPeriodicityAdjustment;
            nonTradingDayFillOption = bloombergNonTradingDayFillOption;
            nonTradingDayFillMethod = bloombergNonTradingDayFillMethod;
            overrideCurrency = bloombergOverrideCurrency;
        }
        protected override void ProcessDataResponse(ref BBCOMM.Event response)
        {
            // unzip and pack messages received from BBCOMM server
            // receive one security per message and multiple messages per event
            foreach (BBCOMM.Message message in response.GetMessages())
            {
                // extract security and fields
                BBCOMM.Element security = message.GetElement(SECURITY_DATA);
                BBCOMM.Element fields = security.GetElement(FIELD_DATA);
                //
                int sequenceNumber = security.GetElementAsInt32(SEQUENCE_NUMBER);
                int nFieldNames = fieldNames.Count;
                int nObservationDates = fields.NumValues;
                //
                // the exact dimension will be known only, when the response has been received from BBCOMM server
                if (!hasDimensions)
                {
                    // define result data structure dimensions for historical data request
                    // observation date will be stored into first field for each observation date
                    result = new dynamic[securityNames.Count, nObservationDates, fieldNames.Count + 1];
                    hasDimensions = true;
                }
                //
                // loop through all observation dates
                for (int i = 0; i < nObservationDates; i++)
                {
                    // extract all field data for a single observation date
                    BBCOMM.Element observationDateFields = fields.GetValueAsElement(i);
                    //
                    // pack observation date into data structure
                    result[sequenceNumber, i, 0] = observationDateFields.GetElementAsDatetime(DATE);
                    //
                    // then, loop through all 'user-requested' fields for a given observation date
                    // and pack results data into data structure
                    for (int j = 0; j < nFieldNames; j++)
                    {
                        // pack field value into data structure if such value has been found
                        if (observationDateFields.HasElement(fieldNames[j]))
                        {
                            result[sequenceNumber, i, j + 1] = observationDateFields.GetElement(fieldNames[j]).GetValue();
                        }
                        // otherwise, pack NOT_AVAILABLE string into data structure
                        else
                        {
                            result[sequenceNumber, i, j + 1] = NOT_AVAILABLE;
                        }
                    }
                }
            }
        }
    }
}


AFTERTHOUGHTS

Stripped from all of its superficial complexities, this example program is actually nothing more, but very standard INPUT DATA - PROCESS DATA - OUTPUT RESULTS scheme. However, by implementing some useful Design Patterns (Builder, Factory method, Visitor), we are now having a lot of flexibility and configurability in this program. Getting results file with all requested fields from Bloomberg, for any new portfolio (for a list of Bloomberg Swap Manager transactions stored in a file) is just a matter of creating a new configuration file into existing repository folder.

One small disappointing issue is the manual administration tasks of hosting that list of transactions which are stored in Bloomberg Swap Manager. So far, I have not been able to find a way to request those transactions directly from Bloomberg. However, Bloomberg has recently been releasing its Swaps Toolkit for Excel, which (according to our Bloomberg account manager) has also programming interface. I might get some new ideas for handling swaps books, as soon as I am familiar enough with the product.

UML class diagram has been created with the online tool called YUML. It is completely free, easy to use, the most flexible and the coolest UML tool what I have been using so far, so check it out. And thanks again for spending your precious time here and reading my blog.

-Mike