TekH
150fca5f47
Introduced several new classes in the `EnvelopeGenerator.WebUI.Client` namespace: - Added `Adjustment` class for financial adjustments with deterministic randomization. - Added `Customer` class to load customer data from a SQL data source with fallback. - Added `DataItem` class to represent detailed billing data, including adjustments. - Added `DataItemList` class implementing `IList` for dynamic `DataItem` generation. - Added `DeterministicRandom` class for reproducible random value generation. - Added `Term` struct to define payment terms. - Added `ReportsFactory` class to manage predefined reports. Updated `MIGRATION_CONTEXT.md` to document the completion of Phase 5 (Data & PredefinedReports Migration) and outline next steps for resolving DevExpress-related errors in Phase 7.
61 lines
2.0 KiB
C#
61 lines
2.0 KiB
C#
namespace EnvelopeGenerator.WebUI.Client.Data {
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class DeterministicRandom {
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const int randomCount = 10000;
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static readonly int[] deterministicRandomNumbers;
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static readonly DateTime time;
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int rnd;
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int Next {
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get {
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rnd = deterministicRandomNumbers[rnd % randomCount];
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return rnd;
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}
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}
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public char RandomChar {
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get {
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return (char)((int)'A' + Random(0, 26));
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}
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}
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public int[] RandomList(int count, int to) {
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int[] res = new int[count];
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for(int i = 0; i < Math.Min(count, to); i++)
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res[i] = i;
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for(int i = to; i < count; i++)
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res[i] = Random(to);
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for(int i = 0; i < count; i++) {
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int ind = Random(count);
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int temp = res[ind];
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res[ind] = res[i];
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res[i] = temp;
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}
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return res;
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}
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public int Random(int to) {
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return Random(0, to);
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}
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public int Random(int from, int to) {
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return Next % Math.Max(1, to - from) + from;
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}
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public T GetRandomItem<T>(IList<T> list) {
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return list[Next % list.Count];
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}
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public DateTime RandomTime() {
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return RandomTime(time, 0, 30 * 24);
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}
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public DateTime RandomTime(DateTime from, int fromHours, int toHours) {
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return from.AddHours(Next % (toHours - fromHours) + fromHours);
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}
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static DeterministicRandom() {
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time = DateTime.Now.AddDays(-62);
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Random currentRandom = new Random(randomCount);
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deterministicRandomNumbers = new int[randomCount];
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for(int i = 0; i < randomCount; i++)
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deterministicRandomNumbers[i] = currentRandom.Next(randomCount);
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}
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public DeterministicRandom(int i) {
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this.rnd = i + (i >> 10) + (i >> 20);
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}
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}
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}
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