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Case Study 2: Data Processing System

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In this case study, we will build a data processing system using Ada. This project will help you understand how to apply various Ada concepts in a real-world scenario. We will cover the following steps:

  1. Project Overview
  2. System Requirements
  3. Design and Architecture
  4. Implementation
  5. Testing and Validation
  6. Conclusion

  1. Project Overview

The goal of this project is to create a data processing system that reads data from a file, processes it, and outputs the results. The system will perform the following tasks:

  • Read data from a CSV file.
  • Parse the data into a structured format.
  • Perform calculations on the data.
  • Output the results to a new file.

  1. System Requirements

Functional Requirements

  • The system should read data from a CSV file.
  • The system should parse the CSV data into records.
  • The system should perform calculations (e.g., sum, average) on specific fields.
  • The system should write the processed data to an output file.

Non-Functional Requirements

  • The system should handle errors gracefully (e.g., file not found, invalid data).
  • The system should be efficient in terms of memory and processing time.
  • The system should be modular and maintainable.

  1. Design and Architecture

Modules

  1. File Reader: Reads data from the input CSV file.
  2. Parser: Parses the CSV data into records.
  3. Processor: Performs calculations on the parsed data.
  4. File Writer: Writes the processed data to an output file.

Data Structures

  • Record: A data structure to hold a single row of the CSV file.
  • Data List: A list of records.

Flow Diagram

+-------------+     +--------+     +-----------+     +------------+
| File Reader | --> | Parser | --> | Processor | --> | File Writer |
+-------------+     +--------+     +-----------+     +------------+

  1. Implementation

File Reader

with Ada.Text_IO; use Ada.Text_IO;
with Ada.Strings.Unbounded; use Ada.Strings.Unbounded;

procedure File_Reader is
   File : File_Type;
   Line : Unbounded_String;
begin
   Open (File, In_File, "input.csv");
   while not End_Of_File (File) loop
      Get_Line (File, Line);
      -- Process the line
   end loop;
   Close (File);
end File_Reader;

Parser

with Ada.Strings.Unbounded; use Ada.Strings.Unbounded;
with Ada.Strings.Fixed; use Ada.Strings.Fixed;

procedure Parser (Line : in Unbounded_String) is
   Tokens : Unbounded_String;
begin
   Tokens := Split (Line, ',');
   -- Convert tokens to record fields
end Parser;

Processor

procedure Processor (Data : in out Data_List) is
   Sum : Float := 0.0;
   Count : Integer := 0;
begin
   for Record of Data loop
      Sum := Sum + Record.Field;
      Count := Count + 1;
   end loop;
   Put_Line ("Average: " & Float'Image (Sum / Count));
end Processor;

File Writer

with Ada.Text_IO; use Ada.Text_IO;

procedure File_Writer (Data : in Data_List) is
   File : File_Type;
begin
   Create (File, Out_File, "output.csv");
   for Record of Data loop
      Put_Line (File, Record.To_String);
   end loop;
   Close (File);
end File_Writer;

  1. Testing and Validation

Test Cases

  1. Test Case 1: Valid CSV file with multiple rows.
  2. Test Case 2: Empty CSV file.
  3. Test Case 3: CSV file with invalid data.

Validation

  • Ensure the system reads and processes the data correctly.
  • Verify the output file contains the expected results.
  • Check for error handling and robustness.

  1. Conclusion

In this case study, we built a data processing system using Ada. We covered the entire process from reading and parsing data to processing and writing the results. This project demonstrated how to apply various Ada concepts in a practical scenario, including file handling, data structures, and modular programming.

By completing this case study, you should have a better understanding of how to design and implement a data processing system in Ada. This knowledge will be valuable for tackling more complex projects in the future.

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