AI-Studio/app/MindWork AI Studio/Tools/Services/RustService.Retrieval.cs
Thorsten Sommer fe35630eff
Merge branch 'main' into chunk-data
Resolved 29 conflicting files. The notable decisions:

Confidence: main's tool-calling gate (RequiredProviderConfidence) and this
branch's local-RAG gate (DataConfidenceLevel) turned out to be the same rule
on the same axis, so they are now one field. Both tool results and data
sources raise it through RequireProviderConfidence(). The gate checks the
level strictly and no longer exempts providers trusted by configuration:
TrustedProviderIds is documented as applying to data-source security checks
only, and organizations set confidence through DataConfidence
.CustomConfidenceScheme instead. The security axis (DataSecurity, ERI,
IsTrustedForDataSourceSecurityChecks) is unchanged.

Provider creation: main's CreateProvider signature won (hfEndpointKind,
capabilityOverrides, no model parameter); tokenizerPath was added to it and
is set for every provider, including the new Hetzner, IONOS and LiteLLM.
Provider and EmbeddingProvider combine the record parameters, Lua parsing and
Lua serialization of both sides.

File types: main's hierarchy (ODT leaf, WORD parent, PowerPoint without the
legacy .ppt, TABULAR instead of DELIMITED_TABLE) plus this branch's
SPREADSHEET parent with ODS and the xlsm/xlsb/xla/xlam extensions, which the
runtime already reads. Both sides had added a conflicting HTML filter; the
reading family keeps the name, and the export path uses a narrow
HTML_DOCUMENT, following the existing LATEX/TEX split.

Runtime: main's file_data.rs is the base, including the prompt-injection
sanitizer and the extraction routes. Token counting and chunk segmentation
moved into take_released, so they act on the text the filter has released
rather than on text it is still holding. A failed count is logged and left
out instead of ending the extraction, because the app counts such a segment
itself.

Data sources: the participating-provider checks of this branch are kept, and
main's GetAllowedDataSources overload now builds on them. DirectChatService
resolves the launched chat's data source options before the check, so filter
and chat see the same options.

.NET and Rust both build clean; I18N regenerated to 4060 keys.
2026-09-05 21:20:33 +02:00

406 lines
19 KiB
C#

using System.Text;
using System.Text.Json;
using System.Runtime.CompilerServices;
using AIStudio.Settings;
using AIStudio.Tools.Rust;
using AIStudio.Tools.Security;
namespace AIStudio.Tools.Services;
public sealed partial class RustService
{
/// <summary>
/// How long one file extraction may take.
/// </summary>
/// <remarks>
/// Reading a large file from a slow network share is legitimately slow, so this is well above
/// the default HTTP client timeout. It still bounds the operation, because an unbounded read
/// would keep the caller waiting forever.
/// </remarks>
private static readonly TimeSpan EXTRACTION_TIMEOUT = TimeSpan.FromMinutes(10);
/// <summary>
/// Reads the content of an arbitrary file through the Rust runtime.
/// </summary>
/// <param name="path">The path of the file to read.</param>
/// <param name="maxChunks">How many chunks of the content stream we read at most.</param>
/// <param name="extractImages">Whether we want the images of the file as well.</param>
/// <param name="token">
/// Cancels the extraction when the caller no longer needs the content. Reading a large document
/// takes a while, and without this, the runtime would keep streaming into a caller which is
/// already gone.
/// </param>
/// <returns>The result of reading the file.</returns>
public async Task<FileExtractionResult> ReadArbitraryFileData(string path, int maxChunks, bool extractImages = false, CancellationToken token = default)
{
//
// The runtime filters prompt injections while it streams the file. Doing it there rather
// than here means the whole document never has to exist in memory at once, which is what
// makes documents of a few thousand pages affordable.
//
var guardService = Program.SERVICE_PROVIDER.GetRequiredService<PromptInjectionGuardService>();
var streamId = Guid.NewGuid().ToString();
var requestUri = $"/retrieval/fs/extract?path={Uri.EscapeDataString(path)}&stream_id={streamId}&extract_images={extractImages}&include_token_count=false";
//
// Both reasons to stop end the same read, so we combine them: our own timeout bounds the
// operation, and the caller's token ends it as soon as nobody needs the content anymore.
//
using var timeoutTokenSource = new CancellationTokenSource(EXTRACTION_TIMEOUT);
using var cancellationTokenSource = CancellationTokenSource.CreateLinkedTokenSource(timeoutTokenSource.Token, token);
var cancellationToken = cancellationTokenSource.Token;
var resultBuilder = new StringBuilder();
var failedPages = new List<int>();
var promptInjectionFindings = new List<PromptInjectionFinding>();
var promptInjectionRedactedCount = 0;
var hasPartialFailure = false;
var failureCode = FileExtractionErrorCode.NONE;
string? failureMessage = null;
string? detectedFormat = null;
try
{
using var request = new HttpRequestMessage(HttpMethod.Get, requestUri);
using var response = await this.extractionHttp.SendAsync(request, HttpCompletionOption.ResponseHeadersRead, cancellationToken);
if (!response.IsSuccessStatusCode)
{
var responseBody = await response.Content.ReadAsStringAsync(cancellationToken);
this.logger?.LogError(
"Failed to read arbitrary file data from Rust runtime. Status: {StatusCode}, reason: '{ReasonPhrase}', path: '{Path}', body: '{Body}'",
response.StatusCode,
response.ReasonPhrase,
path,
responseBody);
return FileExtractionResult.Failed(FileExtractionErrorCode.REQUEST_FAILED, $"The runtime answered with the status {(int)response.StatusCode} ({response.ReasonPhrase}).");
}
await using var stream = await response.Content.ReadAsStreamAsync(cancellationToken);
using var reader = new StreamReader(stream);
var chunkCount = 0;
while (chunkCount < maxChunks)
{
// We read line by line instead of checking EndOfStream: the latter blocks on a
// network stream and cannot be cancelled, which would defeat the timeout above.
var line = await reader.ReadLineAsync(cancellationToken);
if (line is null)
break;
if (string.IsNullOrWhiteSpace(line))
continue;
if (!line.StartsWith("data:", StringComparison.InvariantCulture))
continue;
var jsonContent = line[5..];
try
{
var sseEvent = JsonSerializer.Deserialize<ContentStreamSseEvent>(jsonContent);
if (sseEvent is null)
continue;
var processedEvent = ContentStreamSseHandler.ProcessEvent(sseEvent, extractImages);
if (processedEvent.Error is not null)
{
var error = processedEvent.Error;
//
// A notice is not a failure: the file was read completely, we only learned
// something about it worth telling the user. It must not change the outcome.
//
if (error.IsNotice)
{
this.logger?.LogInformation(
"The runtime reported a notice while reading '{Path}': code={ErrorCode}, detectedFormat='{DetectedFormat}', message='{Message}'",
path,
error.ParsedCode,
error.DetectedFormat,
error.Message);
detectedFormat ??= error.DetectedFormat;
chunkCount++;
continue;
}
this.logger?.LogError(
"The runtime reported a failure while reading '{Path}': code={ErrorCode}, page={PageNumber}, partial={IsPartialFailure}, detectedFormat='{DetectedFormat}', message='{Message}'",
path,
error.ParsedCode,
error.PageNumber,
error.IsPartialFailure,
error.DetectedFormat,
error.Message);
//
// A partial failure costs us one part of the file, e.g. a single PDF page,
// but keeps the rest usable. Any other failure means what we collected is
// not the document the user picked, so we must not pass it on as content.
//
if (error.IsPartialFailure)
{
hasPartialFailure = true;
if (error.PageNumber is { } pageNumber)
failedPages.Add(pageNumber);
}
else if (failureCode is FileExtractionErrorCode.NONE)
{
failureCode = error.ParsedCode;
failureMessage = error.Message;
detectedFormat = error.DetectedFormat;
}
}
else if (processedEvent.PromptInjection is { } promptInjection)
{
//
// Not a failure: the passages were removed and the document around them is
// intact. It only needs to reach the user, so they know their document was
// changed before the AI saw it.
//
promptInjectionRedactedCount += promptInjection.RedactedCount;
if (promptInjection.Findings is { } findings)
promptInjectionFindings.AddRange(findings);
}
else if (processedEvent.Content is not null)
resultBuilder.AppendLine(processedEvent.Content);
chunkCount++;
}
catch (JsonException e)
{
// The runtime may report a failure as a bare JSON string instead of a chunk.
// That form still carries a readable reason, so we log it as such -- but it
// remains a failure and must reach the caller like any other:
if (!this.TryLogSseErrorMessage(jsonContent, path))
this.logger?.LogError(e, "Failed to deserialize SSE event while reading '{Path}': {JsonContent}", path, jsonContent);
if (failureCode is FileExtractionErrorCode.NONE)
{
failureCode = FileExtractionErrorCode.INVALID_RESPONSE;
failureMessage = "The runtime sent a response the app was not able to read.";
}
}
}
}
catch (OperationCanceledException) when (token.IsCancellationRequested)
{
//
// The caller dropped out, e.g. because the user closed the dialog which asked for this
// file. That is not a failure, so we log it as information and leave it to the caller
// to stay silent about it.
//
this.logger?.LogInformation("Reading the file '{Path}' was cancelled by the caller.", path);
return FileExtractionResult.Failed(FileExtractionErrorCode.CANCELLED, "The caller cancelled reading the file.");
}
catch (OperationCanceledException) when (timeoutTokenSource.IsCancellationRequested)
{
this.logger?.LogError("Reading the file '{Path}' timed out after {Timeout}.", path, EXTRACTION_TIMEOUT);
return FileExtractionResult.Failed(FileExtractionErrorCode.TIMEOUT, $"Reading the file timed out after {EXTRACTION_TIMEOUT.TotalMinutes:0} minutes.");
}
catch (Exception e)
{
this.logger?.LogError(e, "Error reading file data from stream: {Path}", path);
return FileExtractionResult.Failed(FileExtractionErrorCode.INTERNAL, e.Message);
}
finally
{
var finalContentChunk = ContentStreamSseHandler.Clear(streamId);
if (!string.IsNullOrWhiteSpace(finalContentChunk))
resultBuilder.AppendLine(finalContentChunk);
}
if (failureCode is not FileExtractionErrorCode.NONE)
return FileExtractionResult.Failed(failureCode, failureMessage, detectedFormat);
var content = resultBuilder.ToString();
//
// Nothing failed, yet nothing came out either. We report this as a failure as well:
// handing an empty document to the AI looks like a file without content, and the user
// would never learn that reading the file did not work.
//
if (string.IsNullOrWhiteSpace(content))
{
this.logger?.LogWarning("Reading the file '{Path}' produced no content at all.", path);
return FileExtractionResult.Failed(FileExtractionErrorCode.NO_CONTENT, "Reading the file produced no content.");
}
var result = hasPartialFailure
? FileExtractionResult.Partial(content, failedPages, detectedFormat)
: FileExtractionResult.Success(content, detectedFormat);
if (promptInjectionRedactedCount is 0)
return result;
//
// Reported from here rather than from the callers: every way of reading a file passes
// through this method, so this is the one place where no caller can forget it.
//
await guardService.ReportAsync(new(PromptInjectionSource.FileContent(path), promptInjectionFindings, promptInjectionRedactedCount));
//
// Filtering does not change the outcome: the passages were removed and the document
// around them is intact. The findings travel along so a caller can show them next to
// the document they belong to.
//
return result with
{
PromptInjectionFindings = promptInjectionFindings,
PromptInjectionRedactedCount = promptInjectionRedactedCount,
};
}
public async IAsyncEnumerable<string> StreamArbitraryFileData(string path, bool extractImages = false, [EnumeratorCancellation] CancellationToken token = default)
{
await foreach (var segment in this.StreamArbitraryFileDataCore(path, extractImages, false, string.Empty, token))
yield return segment.Content;
}
public async IAsyncEnumerable<ArbitraryFileDataSegment> StreamArbitraryFileDataWithTokenCounts(
string path,
EmbeddingProvider embeddingProvider,
[EnumeratorCancellation] CancellationToken token = default)
{
await foreach (var segment in this.StreamArbitraryFileDataCore(path, false, true, embeddingProvider.TokenizerPath, token))
{
if (segment.TokenCount is null)
throw new InvalidOperationException($"Rust did not return a token count for an extracted segment from '{path}' using provider '{embeddingProvider.Name}'.");
yield return new(segment.Content, segment.TokenCount.Value);
}
}
private async IAsyncEnumerable<(string Content, int? TokenCount)> StreamArbitraryFileDataCore(
string path,
bool extractImages,
bool includeTokenCount,
string tokenizerPath,
[EnumeratorCancellation] CancellationToken token)
{
var streamId = Guid.NewGuid().ToString();
var requestUri = $"/retrieval/fs/extract?path={Uri.EscapeDataString(path)}&stream_id={streamId}&extract_images={extractImages}&include_token_count={includeTokenCount}&tokenizer_path={Uri.EscapeDataString(tokenizerPath)}";
using var request = new HttpRequestMessage(HttpMethod.Get, requestUri);
using var response = await this.http.SendAsync(request, HttpCompletionOption.ResponseHeadersRead, token);
if (!response.IsSuccessStatusCode)
{
var responseBody = await response.Content.ReadAsStringAsync(token);
this.logger?.LogError(
"Failed to stream arbitrary file data from Rust runtime. Status: {StatusCode}, reason: '{ReasonPhrase}', path: '{Path}', body: '{Body}'",
response.StatusCode,
response.ReasonPhrase,
path,
responseBody);
if (includeTokenCount)
throw new InvalidOperationException($"Rust could not extract and count '{path}'. HTTP {(int)response.StatusCode} ({response.ReasonPhrase}): {responseBody}");
yield break;
}
string? finalContentChunk = null;
try
{
await using var stream = await response.Content.ReadAsStreamAsync(token);
using var reader = new StreamReader(stream);
while (!reader.EndOfStream && !token.IsCancellationRequested)
{
var line = await reader.ReadLineAsync(token);
if (string.IsNullOrWhiteSpace(line))
continue;
if (!line.StartsWith("data:", StringComparison.InvariantCulture))
continue;
var jsonContent = line[5..];
ContentStreamSseEvent? sseEvent = null;
try
{
sseEvent = JsonSerializer.Deserialize<ContentStreamSseEvent>(jsonContent);
}
catch (JsonException)
{
if (this.TryLogSseErrorMessage(jsonContent, path))
{
if (includeTokenCount)
throw new InvalidOperationException($"Rust could not extract and count a segment from '{path}'. See the runtime log for details.");
continue;
}
this.logger?.LogError("Failed to deserialize SSE event: {JsonContent}", jsonContent);
}
if (sseEvent is null)
continue;
var processedEvent = ContentStreamSseHandler.ProcessEvent(sseEvent, extractImages);
if (processedEvent.Error is { } error)
{
// A notice says something about the file without failing the read, so the
// remaining content still belongs into the index:
if (error.IsNotice)
{
this.logger?.LogInformation(
"The runtime reported a notice while reading '{Path}' for embedding: code={ErrorCode}, detectedFormat='{DetectedFormat}', message='{Message}'",
path,
error.ParsedCode,
error.DetectedFormat,
error.Message);
continue;
}
//
// Everything else stops the read. Embedding a document which was only read in
// part would put a silently incomplete text into the index, and nothing after
// this point would reveal the gap:
//
this.logger?.LogError(
"The runtime reported a failure while reading '{Path}' for embedding: code={ErrorCode}, page={PageNumber}, detectedFormat='{DetectedFormat}', message='{Message}'",
path,
error.ParsedCode,
error.PageNumber,
error.DetectedFormat,
error.Message);
throw new InvalidOperationException($"Rust could not extract '{path}': {error.Message}");
}
if (!string.IsNullOrWhiteSpace(processedEvent.Content))
yield return (processedEvent.Content, sseEvent.TokenCount);
}
}
finally
{
finalContentChunk = ContentStreamSseHandler.Clear(streamId);
}
if (!string.IsNullOrWhiteSpace(finalContentChunk))
yield return (finalContentChunk, null);
}
private bool TryLogSseErrorMessage(string jsonContent, string path)
{
try
{
var errorMessage = JsonSerializer.Deserialize<string>(jsonContent);
if (string.IsNullOrWhiteSpace(errorMessage))
return false;
this.logger?.LogError("Rust retrieval stream error for '{Path}': {ErrorMessage}", path, errorMessage);
return true;
}
catch (JsonException)
{
return false;
}
}
}