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Copy pathResponseParser.cs
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1375 lines (1225 loc) · 49 KB
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using System.Diagnostics;
using System.Diagnostics.CodeAnalysis;
using System.Text;
using System.Text.Json;
using NRedisStack.Literals.Enums;
using NRedisStack.DataTypes;
using NRedisStack.Extensions;
using StackExchange.Redis;
using NRedisStack.Bloom.DataTypes;
using NRedisStack.Core.DataTypes;
using NRedisStack.CuckooFilter.DataTypes;
using NRedisStack.CountMinSketch.DataTypes;
using NRedisStack.TopK.DataTypes;
using NRedisStack.Tdigest.DataTypes;
using NRedisStack.Search;
namespace NRedisStack;
internal static class ResponseParser
{
public static bool OKtoBoolean(this RedisResult result)
{
if (result.IsNull) return false;
return result.ToString() == "OK";
}
public static bool[] ToBooleanArray(this RedisResult result)
{
RedisResult[] redisResults = result.ToArray();
bool[] boolArr = new bool[redisResults.Length];
for (int i = 0; i < redisResults.Length; i++)
{
boolArr[i] = redisResults[i].ToString() == "1";
}
return boolArr;
}
public static RedisResult[] ToArray(this RedisResult result)
{
var redisResults = (RedisResult[]?)result;
if (redisResults != null)
return redisResults;
throw new ArgumentNullException(nameof(redisResults));
}
public static long ToLong(this RedisResult result)
{
if ((long?)result == null)
throw new ArgumentNullException(nameof(result));
return (long)result;
}
public static double ToDouble(this RedisResult result)
{
if (result.ToString() == "nan")
return double.NaN;
if ((double?)result == null)
throw new ArgumentNullException(nameof(result));
return (double)result;
}
public static double[] ToDoubleArray(this RedisResult result)
{
List<double> redisResults = [];
foreach (var res in result.ToArray())
{
redisResults.Add(ToDouble(res));
}
return redisResults.ToArray();
}
public static long[] ToLongArray(this RedisResult result)
{
List<long> redisResults = [];
foreach (var res in result.ToArray())
{
redisResults.Add(ToLong(res));
}
return redisResults.ToArray();
}
public static TimeStamp ToTimeStamp(this RedisResult result)
{
if (result.Resp2Type == ResultType.None) return null!;
return new((long)result);
}
public static RedisKey ToRedisKey(this RedisResult result)
{
return new(result.ToString());
}
public static RedisValue ToRedisValue(this RedisResult result)
{
return new(result.ToString());
}
public static IReadOnlyList<TimeStamp> ToTimeStampArray(this RedisResult result)
{
RedisResult[] redisResults = (RedisResult[])result!;
var list = new List<TimeStamp>(redisResults.Length);
if (redisResults.Length == 0) return list;
Array.ForEach(redisResults, timestamp => list.Add(ToTimeStamp(timestamp)));
return list;
}
public static TimeSeriesTuple ToTimeSeriesTuple(this RedisResult result)
{
RedisResult[] redisResults = result.ToArray();
switch (redisResults.Length)
{
case 0:
return null!;
case 1:
return TimeSeriesTuple.Create(ToTimeStamp(redisResults[0]), Array.Empty<double>());
case 2:
return new(ToTimeStamp(redisResults[0]), (double)redisResults[1]);
}
var values = new double[redisResults.Length - 1];
for (int i = 1; i < redisResults.Length; i++)
{
values[i - 1] = redisResults[i].ToDouble();
}
return TimeSeriesTuple.Create(ToTimeStamp(redisResults[0]), values);
}
public static Tuple<long, byte[]> ToScanDumpTuple(this RedisResult result)
{
RedisResult[] redisResults = result.ToArray();
if (redisResults == null || redisResults.Length == 0) return null!;
return new((long)redisResults[0], (byte[])redisResults[1]!);
}
// TODO: check if this is needed:
// public static HashEntry ToHashEntry(this RedisResult result)
// {
// RedisResult[] redisResults = result.ToArray();
// if (redisResults.Length < 2)
// throw new ArgumentOutOfRangeException(nameof(result));
// return new HashEntry((RedisValue)(redisResults[0]), ((RedisValue)redisResults[1]));
// }
// public static HashEntry[] ToHashEntryArray(this RedisResult result)
// {
// RedisResult[] redisResults = result.ToArray();
// var hash = new HashEntry[redisResults.Length / 2];
// if (redisResults.Length == 0) return hash;
// for (int i = 0; i < redisResults.Length - 1; i += 2)
// hash[i / 2] = new HashEntry(((RedisValue)redisResults[i]), ((RedisValue)redisResults[i + 1]));
// return hash;
// }
public static IReadOnlyList<TimeSeriesTuple> ToTimeSeriesTupleArray(this RedisResult result)
{
RedisResult[] redisResults = (RedisResult[])result!;
var list = new List<TimeSeriesTuple>(redisResults.Length);
if (redisResults.Length == 0) return list;
Array.ForEach(redisResults, tuple => list.Add(ToTimeSeriesTuple(tuple)));
return list;
}
public static IReadOnlyList<TimeSeriesPivotRow> ToTimeSeriesPivotRowArray(this RedisResult result)
{
RedisResult[] rows = (RedisResult[])result!;
var list = new List<TimeSeriesPivotRow>(rows.Length);
foreach (var row in rows)
{
// each row is [timestamp, [value_0, value_1, ... value_n]]; values use the same NaN-aware
// double parsing as TS.RANGE so missing samples/buckets surface as double.NaN, not null.
RedisResult[] pair = (RedisResult[])row!;
list.Add(new TimeSeriesPivotRow(ToTimeStamp(pair[0]), pair[1].ToDoubleArray()));
}
return list;
}
public static List<TimeSeriesLabel> ToLabelArray(this RedisResult result)
{
if (result.Resp3Type is ResultType.Map) // RESP3; single map
{
var dict = ((RedisResult[])result!);
var list = new List<TimeSeriesLabel>(dict.Length / 2);
for (int i = 0; i < dict.Length; i += 2)
{
list.Add(new(dict[i].ToString(), dict[i + 1].ToString()));
}
return list;
}
else // jagged/nested array pairs
{
RedisResult[] redisResults = (RedisResult[])result!;
var list = new List<TimeSeriesLabel>(redisResults.Length);
if (redisResults.Length == 0) return list;
Array.ForEach(redisResults, labelResult =>
{
var labelTuple = (RedisResult[])labelResult!;
list.Add(new(labelTuple[0].ToString(), labelTuple[1].ToString()));
});
return list;
}
}
// public static IReadOnlyList<TimeSeriesCunck> ToCunckArray(this RedisResult result)
// {
// RedisResult[] redisResults = (RedisResult[])result;
// var list = new List<TimeSeriesCunck>(redisResults.Length);
// if (redisResults.Length == 0) return list;
// Array.ForEach(redisResults, chunckResult =>
// {
// RedisResult[] labelTuple = (RedisResult[])labelResult;
// list.Add(new TimeSeriesCunck((string)labelTuple[0], (string)labelTuple[1]));
// });
// return list;
// }
public static IReadOnlyList<(string key, IReadOnlyList<TimeSeriesLabel> labels, TimeSeriesTuple value)>
ParseMGetResponse(this RedisResult result)
{
var redisResults = (RedisResult[])result!;
List<(string key, IReadOnlyList<TimeSeriesLabel> labels, TimeSeriesTuple values)> list;
if (redisResults.Length is 0)
{
list = new(0);
}
else if (result.Resp3Type is ResultType.Map) // RESP3, map
{
list = new(redisResults.Length / 2);
for (int i = 0; i < redisResults.Length; i += 2)
{
string key = redisResults[i].ToString();
var pair = (RedisResult[])redisResults[i + 1]!;
var labels = ToLabelArray(pair[0]);
TimeSeriesTuple? value = ToTimeSeriesTuple(pair[1]);
list.Add((key, labels, value));
}
}
else // jagged
{
list = new(redisResults.Length);
for (int i = 0; i < redisResults.Length; i++)
{
var triple = (RedisResult[])redisResults[i]!;
string key = triple[0].ToString();
IReadOnlyList<TimeSeriesLabel> labels = ToLabelArray(triple[1]);
TimeSeriesTuple? value = ToTimeSeriesTuple(triple[2]);
list.Add((key, labels, value));
}
}
return list;
}
public static
IReadOnlyList<(string key, IReadOnlyList<TimeSeriesLabel> labels, IReadOnlyList<TimeSeriesTuple> values)>
ParseMRangeResponse(this RedisResult result)
{
var redisResults = (RedisResult[])result!;
List<(string key, IReadOnlyList<TimeSeriesLabel> labels, IReadOnlyList<TimeSeriesTuple> values)> list;
if (redisResults.Length is 0)
{
list = [];
}
else if (result.Resp3Type is ResultType.Map) // RESP3
{
// jagged array of [key, [labels, [aggregators, ] [groupings, ] values]]
list = new(redisResults.Length / 2);
for (int i = 0; i < redisResults.Length; i += 2)
{
string key = redisResults[i].ToString();
var tuple = (RedisResult[])redisResults[i + 1]!;
var labels = ToLabelArray(tuple[0]);
// we choose to spoof RESP2-style labels from the additional RESP3 metadata, for consistency
for (int j = 1; j < tuple.Length - 1; j++)
{
if (tuple[j].Resp3Type is ResultType.Map)
{
var map = (RedisResult[])tuple[j]!;
for (int k = 0; k + 1 < map.Length; k += 2)
{
var metadataKey = map[k].ToString();
var value = map[k + 1];
switch (metadataKey)
{
case "group":
labels.Add(new("group", CommaDelimit(value)));
break;
case "reducers" when value.Resp3Type is ResultType.Array:
labels.Add(new("__reducer__", CommaDelimit(value)));
break;
case "sources" when value.Resp3Type is ResultType.Array:
labels.Add(new("__source__", CommaDelimit(value)));
break;
}
}
}
}
// take values from the array
var values = ToTimeSeriesTupleArray(tuple[tuple.Length - 1]);
list.Add((key, labels, values));
}
}
else
{
// jagged array of [key, labels, values], where each value is [timestamp, value]
list = new(redisResults.Length);
for (int i = 0; i < redisResults.Length; i++)
{
var tuple = (RedisResult[])redisResults[i]!;
string key = tuple[0].ToString();
IReadOnlyList<TimeSeriesLabel> labels = ToLabelArray(tuple[1]);
IReadOnlyList<TimeSeriesTuple> values = ToTimeSeriesTupleArray(tuple[2]);
list.Add((key, labels, values));
}
}
return list;
}
private static string CommaDelimit(RedisResult value)
{
if (value.IsNull) return null!;
if (value.Length < 0) return value.ToString();
switch (value.Length)
{
case 0: return "";
case 1: return $"{value[0]}";
case 2: return $"{value[0]},{value[1]}";
case 3: return $"{value[0]},{value[1]},{value[2]}";
case 4: return $"{value[0]},{value[1]},{value[2]},{value[3]}";
case 5: return $"{value[0]},{value[1]},{value[2]},{value[3]},{value[4]}";
case 6: return $"{value[0]},{value[1]},{value[2]},{value[3]},{value[4]},{value[5]}";
default:
var sb = new StringBuilder();
for (int i = 0; i < value.Length; i++)
{
if (i != 0) sb.Append(',');
sb.Append(value[i]);
}
return sb.ToString();
}
}
public static TimeSeriesRule ToRule(this RedisResult key, ReadOnlySpan<RedisResult> values)
{
string destKey = key.ToString();
long bucketTime = (long)values[0];
var aggregation = AggregationExtensions.AsAggregation(values[1].ToString());
return new(destKey, bucketTime, aggregation);
}
public static IReadOnlyList<TimeSeriesRule> ToRuleArray(this RedisResult result)
{
var redisResults = (RedisResult[])result!;
List<TimeSeriesRule> list;
if (redisResults.Length == 0)
{
list = new(0);
}
else if (result.Resp3Type is ResultType.Map) // RESP3
{
list = new(redisResults.Length / 2);
for (int i = 0; i + 1 < redisResults.Length; i += 2)
{
list.Add(ToRule(redisResults[i], redisResults[i + 1].ToArray()));
}
}
else
{
list = new List<TimeSeriesRule>(redisResults.Length);
foreach (var rule in redisResults)
{
var values = (RedisResult[])rule!;
list.Add(ToRule(values[0], values.AsSpan(1)));
}
}
return list;
}
public static TsDuplicatePolicy? ToPolicy(this RedisResult result)
{
var policyStatus = result.ToString();
if (String.IsNullOrEmpty(policyStatus) || policyStatus == "(nil)")
{
return null;
}
return DuplicatePolicyExtensions.AsPolicy(policyStatus.ToUpper());
}
public static BloomInformation
ToBloomInfo(
this RedisResult result) //TODO: Think about a different implementation, because if the output of BF.INFO changes or even just the names of the labels then the parsing will not work
{
long capacity, size, numberOfFilters, numberOfItemsInserted, expansionRate;
capacity = size = numberOfFilters = numberOfItemsInserted = expansionRate = -1;
RedisResult[] redisResults = result.ToArray();
for (int i = 0; i < redisResults.Length; ++i)
{
string? label = redisResults[i++].ToString();
// string.Compare(label, "Capacity", true)
switch (label)
{
case "Capacity":
capacity = (long)redisResults[i];
break;
case "Size":
size = (long)redisResults[i];
break;
case "Number of filters":
numberOfFilters = (long)redisResults[i];
break;
case "Number of items inserted":
numberOfItemsInserted = (long)redisResults[i];
break;
case "Expansion rate":
expansionRate = (long)redisResults[i];
break;
}
}
return new(capacity, size, numberOfFilters, numberOfItemsInserted, expansionRate);
}
public static CuckooInformation
ToCuckooInfo(
this RedisResult result) //TODO: Think about a different implementation, because if the output of BF.INFO changes or even just the names of the labels then the parsing will not work
{
long size,
numberOfBuckets,
numberOfFilters,
numberOfItemsInserted,
numberOfItemsDeleted,
bucketSize,
expansionRate,
maxIterations;
size = numberOfBuckets = numberOfFilters =
numberOfItemsInserted = numberOfItemsDeleted =
bucketSize = expansionRate = maxIterations = -1;
RedisResult[] redisResults = result.ToArray();
for (int i = 0; i < redisResults.Length; ++i)
{
string? label = redisResults[i++].ToString();
switch (label)
{
case "Size":
size = (long)redisResults[i];
break;
case "Number of buckets":
numberOfBuckets = (long)redisResults[i];
break;
case "Number of filters":
numberOfFilters = (long)redisResults[i];
break;
case "Number of items inserted":
numberOfItemsInserted = (long)redisResults[i];
break;
case "Number of items deleted":
numberOfItemsDeleted = (long)redisResults[i];
break;
case "Bucket size":
bucketSize = (long)redisResults[i];
break;
case "Expansion rate":
expansionRate = (long)redisResults[i];
break;
case "Max iterations":
maxIterations = (long)redisResults[i];
break;
}
}
return new(size, numberOfBuckets, numberOfFilters, numberOfItemsInserted,
numberOfItemsDeleted, bucketSize, expansionRate, maxIterations);
}
public static CmsInformation
ToCmsInfo(this RedisResult result) //TODO: Think about a different implementation, because if the output of CMS.INFO changes or even just the names of the labels then the parsing will not work
{
long width, depth, count;
width = depth = count = -1;
RedisResult[] redisResults = result.ToArray();
for (int i = 0; i < redisResults.Length; ++i)
{
string? label = redisResults[i++].ToString();
switch (label)
{
case "width":
width = (long)redisResults[i];
break;
case "depth":
depth = (long)redisResults[i];
break;
case "count":
count = (long)redisResults[i];
break;
}
}
return new(width, depth, count);
}
public static TopKInformation
ToTopKInfo(this RedisResult result) //TODO: Think about a different implementation, because if the output of CMS.INFO changes or even just the names of the labels then the parsing will not work
{
long k, width, depth;
double decay;
k = width = depth = -1;
decay = -1.0;
RedisResult[] redisResults = result.ToArray();
for (int i = 0; i < redisResults.Length; ++i)
{
string? label = redisResults[i++].ToString();
switch (label)
{
case "k":
k = (long)redisResults[i];
break;
case "width":
width = (long)redisResults[i];
break;
case "depth":
depth = (long)redisResults[i];
break;
case "decay":
decay = (double)redisResults[i];
break;
}
}
return new(k, width, depth, decay);
}
public static TdigestInformation
ToTdigestInfo(
this RedisResult result) //TODO: Think about a different implementation, because if the output of CMS.INFO changes or even just the names of the labels then the parsing will not work
{
long compression, capacity, mergedNodes, unmergedNodes, totalCompressions, memoryUsage;
double mergedWeight, unmergedWeight, observations;
compression = capacity = mergedNodes = unmergedNodes = totalCompressions = memoryUsage = -1;
mergedWeight = unmergedWeight = observations = -1.0;
RedisResult[] redisResults = result.ToArray();
for (int i = 0; i < redisResults.Length; ++i)
{
string? label = redisResults[i++].ToString();
switch (label)
{
case "Compression":
compression = (long)redisResults[i];
break;
case "Capacity":
capacity = (long)redisResults[i];
break;
case "Merged nodes":
mergedNodes = (long)redisResults[i];
break;
case "Unmerged nodes":
unmergedNodes = (long)redisResults[i];
break;
case "Merged weight":
mergedWeight = (double)redisResults[i];
break;
case "Unmerged weight":
unmergedWeight = (double)redisResults[i];
break;
case "Observations":
observations = (double)redisResults[i];
break;
case "Total compressions":
totalCompressions = (long)redisResults[i];
break;
case "Memory usage":
memoryUsage = (long)redisResults[i];
break;
}
}
return new(compression, capacity, mergedNodes, unmergedNodes,
mergedWeight, unmergedWeight, observations, totalCompressions, memoryUsage);
}
public static TimeSeriesInformation ToTimeSeriesInfo(this RedisResult result)
{
long totalSamples = -1, memoryUsage = -1, retentionTime = -1, chunkSize = -1, chunkCount = -1;
TimeStamp? firstTimestamp = null, lastTimestamp = null;
IReadOnlyList<TimeSeriesLabel>? labels = null;
IReadOnlyList<TimeSeriesRule>? rules = null;
string? sourceKey = null, keySelfName = null;
TsDuplicatePolicy? duplicatePolicy = null;
IReadOnlyList<TimeSeriesChunck>? chunks = null;
var redisResults = (RedisResult[])result!;
for (int i = 0; i < redisResults.Length; ++i)
{
string label = redisResults[i++].ToString();
try
{
switch (label)
{
case "totalSamples":
totalSamples = (long)redisResults[i];
break;
case "memoryUsage":
memoryUsage = (long)redisResults[i];
break;
case "retentionTime":
retentionTime = (long)redisResults[i];
break;
case "chunkCount":
chunkCount = (long)redisResults[i];
break;
case "chunkSize":
chunkSize = (long)redisResults[i];
break;
// case "maxSamplesPerChunk":
// // If the property name is maxSamplesPerChunk then this is an old
// // version of RedisTimeSeries and we used the number of samples before ( now Bytes )
// chunkSize = chunkSize * 16;
// break;
case "firstTimestamp":
firstTimestamp = ToTimeStamp(redisResults[i]);
break;
case "lastTimestamp":
lastTimestamp = ToTimeStamp(redisResults[i]);
break;
case "labels":
labels = ToLabelArray(redisResults[i]);
break;
case "sourceKey":
sourceKey = redisResults[i].ToString();
break;
case "rules":
rules = ToRuleArray(redisResults[i]);
break;
case "duplicatePolicy":
// Avalible for > v1.4
duplicatePolicy = ToPolicy(redisResults[i]);
break;
case "keySelfName":
// Avalible for > v1.4
keySelfName = redisResults[i].ToString();
break;
case "Chunks":
// Avalible for > v1.4
chunks = ToTimeSeriesChunkArray(redisResults[i]);
break;
}
}
catch (Exception e)
{
throw new InvalidOperationException($"{e.GetType().Name} parsing '{label}': {e.Message}", e);
}
}
return new(totalSamples, memoryUsage, firstTimestamp,
lastTimestamp, retentionTime, chunkCount, chunkSize, labels, sourceKey, rules, duplicatePolicy, keySelfName,
chunks);
}
// TODO: check if this is needed
// public static Dictionary<string, RedisValue> ToFtInfoAsDictionary(this RedisResult value)
// {
// var res = (RedisResult[])value;
// var info = new Dictionary<string, RedisValue>();
// for (int i = 0; i < res.Length; i += 2)
// {
// var val = res[i + 1];
// if (val.Type != ResultType.Array)
// {
// info.Add((string)res[i], (RedisValue)val);
// }
// }
// return info;
// }
public static Dictionary<string, string> ToConfigDictionary(this RedisResult value)
{
Dictionary<string, string> dict;
if (value.Length <= 0) // includes null/scalar
{
dict = new(0);
}
else if (value.Resp3Type is ResultType.Map)
{
// RESP3: map
dict = new(value.Length / 2);
for (int i = 0; i + 1 < value.Length; i += 2)
{
dict.Add(value[i].ToString(), value[i + 1].ToString());
}
}
else
{
// RESP2: jagged; [ [key, value] ]
dict = new(value.Length);
for (int i = 0; i < value.Length; i++)
{
var inner = value[i];
dict.Add(inner[0].ToString(), inner[1].ToString());
}
}
return dict;
}
public static IReadOnlyList<TimeSeriesChunck> ToTimeSeriesChunkArray(this RedisResult result)
{
var redisResults = (RedisResult[])result!;
var list = new List<TimeSeriesChunck>();
if (redisResults.Length == 0) return list;
Array.ForEach(redisResults, chunk => list.Add(ToTimeSeriesChunk(chunk)));
return list;
}
public static TimeSeriesChunck ToTimeSeriesChunk(this RedisResult result)
{
long startTimestamp = -1, endTimestamp = -1, samples = -1, size = -1;
string bytesPerSample = "";
var redisResults = (RedisResult[])result!;
for (int i = 0; i < redisResults.Length; ++i)
{
string label = redisResults[i++].ToString();
switch (label)
{
case "startTimestamp":
startTimestamp = (long)redisResults[i];
break;
case "endTimestamp":
endTimestamp = (long)redisResults[i];
break;
case "samples":
samples = (long)redisResults[i];
break;
case "size":
size = (long)redisResults[i];
break;
case "bytesPerSample":
bytesPerSample = redisResults[i].ToString();
break;
}
}
return new(startTimestamp, endTimestamp,
samples, size, bytesPerSample);
}
public static List<string> ToStringList(this RedisResult result)
{
RedisResult[] redisResults = result.ToArray();
var list = new List<string>();
if (redisResults.Length == 0) return list;
Array.ForEach(redisResults, str => list.Add(str.ToString()));
return list;
}
public static long?[] ToNullableLongArray(this RedisResult result)
{
if (result.IsNull)
{
return [];
}
if (result.Resp2Type == ResultType.Integer)
{
return [(long?)result];
}
return ((RedisResult[])result!).Select(x => (long?)x).ToArray();
}
public static IEnumerable<HashSet<string>> ToHashSets(this RedisResult result)
{
if (result.IsNull)
{
return [];
}
var res = (RedisResult[])result!;
var sets = new List<HashSet<string>>();
if (res.All(x => x.Resp2Type != ResultType.Array))
{
var keys = res.Select(x => x.ToString());
sets.Add([.. keys]);
return sets;
}
foreach (var arr in res)
{
var set = new HashSet<string>();
if (arr.Resp2Type == ResultType.Array)
{
var resultArr = (RedisResult[])arr!;
foreach (var item in resultArr)
{
set.Add(item.ToString());
}
}
sets.Add(set);
}
return sets;
}
public static Dictionary<string, Dictionary<string, double>> ToFtSpellCheckResult(this RedisResult result)
{
var outerArr = (RedisResult[])result!;
if (result.Resp3Type is ResultType.Map)
{
// RESP3 has different nesting, and the score/suggestionj are inverted
for (int i = 0; i + 1 < outerArr.Length; i += 2)
{
if (outerArr[i].ToString() == "results" && outerArr[i + 1] is { Resp3Type: ResultType.Map } results)
{
var innerArr = (RedisResult[])results!;
var returnTerms = new Dictionary<string, Dictionary<string, double>>(innerArr.Length / 2);
for (int j = 0; j < innerArr.Length; j += 2)
{
var term = innerArr[j].ToString();
var suggestions = (RedisResult[])innerArr[j + 1]!;
var entries = new Dictionary<string, double>(suggestions.Length);
foreach (var entry in suggestions)
{
if (entry.Resp3Type is ResultType.Map)
{
for (int k = 0; k + 1 < entry.Length; k += 2)
{
var suggestion = entry[k].ToString();
var score = (double)entry[k + 1];
entries.Add(suggestion, score);
}
}
}
returnTerms.Add(term, entries);
}
return returnTerms; // we can skip any other elements
}
}
return []; // didn't find any results
}
else
{
var returnTerms = new Dictionary<string, Dictionary<string, double>>(outerArr.Length);
foreach (var term in outerArr)
{
var rawElements = (RedisResult[])term!;
string termValue = rawElements[1].ToString();
var list = (RedisResult[])rawElements[2]!;
Dictionary<string, double> entries = new(list.Length);
foreach (var entry in list)
{
var entryElements = (RedisResult[])entry!;
string suggestion = entryElements[1].ToString();
double score = (double)entryElements[0];
entries.Add(suggestion, score);
}
returnTerms.Add(termValue, entries);
}
return returnTerms;
}
}
public static List<Tuple<string, double>>
ToStringDoubleTupleList(
this RedisResult result) // TODO: consider create class Suggestion instead of List<Tuple<string, double>>
{
var results = (RedisResult[])result!;
var list = new List<Tuple<string, double>>(results.Length / 2);
for (int i = 0; i < results.Length; i += 2)
{
var suggestion = results[i].ToString();
var score = (double)results[i + 1];
list.Add(new(suggestion, score));
}
return list;
}
public static Dictionary<string, RedisResult> ToStringRedisResultDictionary(this RedisResult value)
{
Dictionary<string, RedisResult> dict;
if (value.Length <= 0)
{
dict = new(0);
}
else if (value.Resp3Type is ResultType.Map) // RESP3
{
dict = new(value.Length / 2);
for (int i = 0; i + 1 < value.Length; i += 2)
{
dict.Add(value[i].ToString(), value[i + 1]);
}
}
else // RESP2
{
var res = (RedisResult[])value!;
dict = new(value.Length);
for (int i = 0; i < res.Length; i++)
{
var arr = value[i];
if (arr.IsNull)
{
// nothing
}
else if (arr.Length > 1)
{
dict.Add(arr[0].ToString(), arr[1]);
}
else
{
dict.Add(arr[0].ToString(), null!);
}
}
}
return dict;
}
public static Tuple<SearchResult, Dictionary<string, RedisResult>> ToProfileSearchResult(this RedisResult result,
Query q)
{
if (result.TryGetMapMember("profile", out var v7Profile)) // v7 RESP3 style
{
// v7 RESP3; results and profile intermingled in root
var search = result.ToSearchResult(q);
return new(search, v7Profile.ToStringRedisResultDictionary());
}
var pair = result.FromArrayOrMap("Results", "Profile");
var searchResult = pair.Value0.ToSearchResult(q);
var profile = pair.Value1.ToStringRedisResultDictionary();
return new(searchResult, profile);
}
public static Tuple<SearchResult, ProfilingInformation> ParseProfileSearchResult(this RedisResult result, Query q)
{
if (result.TryGetMapMember("profile", out var v7Profile)) // v7 RESP3 style
{
// v7 RESP3; results and profile intermingled in root
var search = result.ToSearchResult(q);
return new(search, new ProfilingInformation(v7Profile));
}
var pair = result.FromArrayOrMap("Results", "Profile");
var searchResult = pair.Value0.ToSearchResult(q);
var profile = new ProfilingInformation(pair.Value1);
return new(searchResult, profile);
}
internal static bool TryGetMapMember(this RedisResult parent, string key, out RedisResult child)
{
if (parent is { Resp3Type: ResultType.Map, Length: > 0 })
{
for (int i = 0; i + 1 < parent.Length; i += 2)
{
if (parent[i].ToString() == key)
{
child = parent[i + 1];
return true;
}
}
}
child = null!;
return false;
}