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contexts, trace identifiers, and cross-service metadata across multiple programming languages and frameworks. It covers common service boundaries, including HTTP, RPC, messaging, and service mesh integrations, with structured annotations for languages, frameworks, context APIs, metadata carriers, and propagation stages. It supports coding agent training and evaluation, distributed tracing analysis, and code understanding and generation for microservice context propagation.\u003C\u002Fp>","2026-10-14 16:38:09","2026-10-19 17:19:08","0.00",0,5000,"distributed context propagation,microservice code dataset,distributed tracing code,request context propagation,service mesh code,cross-service metadata,coding agent training,source code understanding","Source code for context propagation across languages and frameworks, supporting tracing analysis, microservice code understanding, and coding agent training.","JSON","0.3GB","microservice architecture development, distributed tracing, cross-service context management","code understanding, context propagation analysis, code generation","V1.0","rivo\u002Fsample-packages\u002F1d6a65f0-e2af-4999-a25e-7280abee076b\u002F20261014.zip",[583,588,593,598,604,610,615,620,625,630,635,640],{"id":572,"name":584,"field":585,"intro":586,"type":587},"File Name","file_name","File name","string",{"id":589,"name":590,"field":591,"intro":592,"type":587},8761,"Framework","framework","The primary application framework, RPC framework, service mesh component, or client library identified in the source code.",{"id":594,"name":595,"field":596,"intro":597,"type":587},8762,"Code Function Summary","code_summary","An English summary of the context creation, extraction, injection, forwarding, and restoration logic in the source code.",{"id":599,"name":600,"field":601,"intro":602,"type":603},8763,"Original Source Code Record","source_artifact","The source code to be analyzed and its original file metadata.","object",{"id":605,"name":606,"field":607,"intro":608,"type":609},8764,"Context API Names","context_api_names","Names of APIs, classes, functions, or methods used to create, read, modify, or pass request context in the code.","array",{"id":611,"name":612,"field":613,"intro":614,"type":609},8765,"Metadata Carriers","metadata_carriers","Carriers used to propagate context metadata across threads, processes, or services, such as request headers, RPC metadata, message attributes, or environment variables.",{"id":616,"name":617,"field":618,"intro":619,"type":609},8766,"Context Propagation Stages","propagation_stages","Context propagation stages represented in the code, such as inbound extraction, context injection, client calls, or server-side restoration.",{"id":621,"name":622,"field":623,"intro":624,"type":587},8767,"Propagation Pattern","propagation_pattern","The context propagation pattern inferred from the code, such as explicit parameter passing, implicit thread context, header injection, or automatic service mesh injection.",{"id":626,"name":627,"field":628,"intro":629,"type":587},8768,"Programming Language","programming_language","The primary programming language identified in the source code.",{"id":631,"name":632,"field":633,"intro":634,"type":609},8769,"Service Boundary Types","service_boundary_types","Types of service boundaries crossed by the code, such as HTTP, gRPC, message queues, database calls, or service mesh proxies.",{"id":636,"name":637,"field":638,"intro":639,"type":609},8770,"Trace Identifier Types","trace_identifier_types","Types of trace identifiers propagated or extracted in the code, such as trace_id, span_id, or request correlation identifiers.",{"id":641,"name":642,"field":643,"intro":644,"type":645},8771,"Supports Cross-Service Propagation","supports_cross_service_propagation","Whether the source code can propagate request context, trace identifiers, or related metadata to other services.","boolean",[647,651,655,659],{"id":648,"question":649,"answer":650},6279,"What code does the dataset cover?","It focuses on code that creates, extracts, injects, forwards, or restores request contexts, trace identifiers, and cross-service metadata. Coverage includes multiple languages and frameworks, as well as HTTP, RPC, messaging, and service mesh boundaries.",{"id":652,"question":653,"answer":654},6280,"Which structured fields are available for filtering and analysis?","Records include source code and original file information, along with fields for programming language, framework, context APIs, trace identifier types, metadata carriers, propagation stages, service boundary types, propagation patterns, and cross-service propagation support.",{"id":656,"question":657,"answer":658},6281,"How can I access and use the dataset?","Request or download it through the access channels supported by the dataset provider, then search, filter, and process it in the delivered format. Before use, check repository sources, file integrity, and coverage of the languages and frameworks you need.",{"id":660,"question":661,"answer":662},6282,"What are the dataset's licensing terms?","Licensing depends on the dataset provider and the licenses of the included source code. Before using the data for training, evaluation, or commercial purposes, review the applicable licenses, usage restrictions, and attribution requirements.",[664,683,698],{"id":665,"relate_table":666,"relate_id":667,"file_size":572,"file_name":668,"path":8,"duration":572,"cate":483,"file_format":669,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":670,"cate_name":671,"framework":672,"code_summary":673,"source_artifact":674,"context_api_names":675,"metadata_carriers":676,"propagation_stages":677,"propagation_pattern":678,"programming_language":679,"service_boundary_types":680,"trace_identifier_types":681,"supports_cross_service_propagation":682},15021,"union_cubo",265461845,"样例_3.json","json","{\"framework\": \"FastAPI + OpenTelemetry Python + httpx\", \"code_summary\": \"The FastAPI handler converts inbound request headers into a dictionary and extracts the parent context, then uses context.attach to bind it to the current asynchronous execution scope. The handler creates a recommendation.lookup server span, uses propagate.inject to generate HTTP propagation headers sent to the profile service, and restores the original context via context.detach after the call completes.\", \"source_artifact\": \"{\\\"source_code\\\": \\\"from fastapi import FastAPI, Request\\\\nfrom opentelemetry import context, propagate, trace\\\\nfrom opentelemetry.trace import SpanKind\\\\nimport httpx\\\\n\\\\napp = FastAPI()\\\\ntracer = trace.get_tracer('recommendation-service')\\\\n\\\\n@app.get('\u002Frecommendations')\\\\nasync def recommendations(request: Request):\\\\n    carrier = dict(request.headers)\\\\n    parent_ctx = propagate.extract(carrier)\\\\n    token = context.attach(parent_ctx)\\\\n    try:\\\\n        with tracer.start_as_current_span('recommendation.lookup', kind=SpanKind.SERVER) as span:\\\\n            outbound_headers = {}\\\\n            propagate.inject(outbound_headers)\\\\n            async with httpx.AsyncClient() as client:\\\\n                upstream = await client.get('http:\u002F\u002Fprofile\u002Finternal\u002Fpreferences', headers=outbound_headers)\\\\n            return {'status_code': upstream.status_code}\\\\n    finally:\\\\n        context.detach(token)\\\\n\\\", \\\"declared_language\\\": \\\"Python\\\", \\\"declared_framework\\\": \\\"FastAPI + OpenTelemetry Python + httpx\\\", \\\"file_path\\\": \\\"app\u002Froutes\u002Frecommendations.py\\\"}\", \"context_api_names\": \"[\\\"propagate.extract\\\", \\\"context.attach\\\", \\\"tracer.start_as_current_span\\\", \\\"propagate.inject\\\", \\\"context.detach\\\", \\\"SpanKind.SERVER\\\"]\", \"metadata_carriers\": \"[\\\"FastAPI Request headers\\\", \\\"Python dict\\\", \\\"HTTP request headers\\\"]\", \"propagation_stages\": \"[\\\"Inbound request headers converted to carrier\\\", \\\"Parent context extraction\\\", \\\"Async task context binding\\\", \\\"Server span creation\\\", \\\"Downstream HTTP request header injection\\\", \\\"Context restoration after request completion\\\"]\", \"propagation_pattern\": \"Explicitly attaches to the asynchronous request handling process through OpenTelemetry Python Context, and uses the standard propagator to extract and inject trace and baggage metadata in the HTTP header dictionary.\", \"programming_language\": \"Python\", \"service_boundary_types\": \"[\\\"FastAPI HTTP inbound boundary\\\", \\\"httpx HTTP outbound boundary\\\", \\\"Recommendation service to user profile service call\\\"]\", \"trace_identifier_types\": \"[\\\"W3C traceparent\\\", \\\"trace_id\\\", \\\"span_id\\\", \\\"baggage\\\"]\", \"supports_cross_service_propagation\": \"true\"}","文本","FastAPI + OpenTelemetry Python + httpx","The FastAPI handler converts inbound request headers into a dictionary and extracts the parent context, then uses context.attach to bind it to the current asynchronous execution scope. The handler creates a recommendation.lookup server span, uses propagate.inject to generate HTTP propagation headers sent to the profile service, and restores the original context via context.detach after the call completes.","{\"source_code\": \"from fastapi import FastAPI, Request\\nfrom opentelemetry import context, propagate, trace\\nfrom opentelemetry.trace import SpanKind\\nimport httpx\\n\\napp = FastAPI()\\ntracer = trace.get_tracer('recommendation-service')\\n\\n@app.get('\u002Frecommendations')\\nasync def recommendations(request: Request):\\n    carrier = dict(request.headers)\\n    parent_ctx = propagate.extract(carrier)\\n    token = context.attach(parent_ctx)\\n    try:\\n        with tracer.start_as_current_span('recommendation.lookup', kind=SpanKind.SERVER) as span:\\n            outbound_headers = {}\\n            propagate.inject(outbound_headers)\\n            async with httpx.AsyncClient() as client:\\n                upstream = await client.get('http:\u002F\u002Fprofile\u002Finternal\u002Fpreferences', headers=outbound_headers)\\n            return {'status_code': upstream.status_code}\\n    finally:\\n        context.detach(token)\\n\", \"declared_language\": \"Python\", \"declared_framework\": \"FastAPI + OpenTelemetry Python + httpx\", \"file_path\": \"app\u002Froutes\u002Frecommendations.py\"}","[\"propagate.extract\", \"context.attach\", \"tracer.start_as_current_span\", \"propagate.inject\", \"context.detach\", \"SpanKind.SERVER\"]","[\"FastAPI Request headers\", \"Python dict\", \"HTTP request headers\"]","[\"Inbound request headers converted to carrier\", \"Parent context extraction\", \"Async task context binding\", \"Server span creation\", \"Downstream HTTP request header injection\", \"Context restoration after request completion\"]","Explicitly attaches to the asynchronous request handling process through OpenTelemetry Python Context, and uses the standard propagator to extract and inject trace and baggage metadata in the HTTP header dictionary.","Python","[\"FastAPI HTTP inbound boundary\", \"httpx HTTP outbound boundary\", \"Recommendation service to user profile service call\"]","[\"W3C traceparent\", \"trace_id\", \"span_id\", \"baggage\"]","true",{"id":684,"relate_table":666,"relate_id":685,"file_size":572,"file_name":686,"path":8,"duration":572,"cate":483,"file_format":669,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":687,"cate_name":671,"framework":688,"code_summary":689,"source_artifact":690,"context_api_names":691,"metadata_carriers":692,"propagation_stages":693,"propagation_pattern":694,"programming_language":695,"service_boundary_types":696,"trace_identifier_types":697,"supports_cross_service_propagation":682},15020,2027364862,"样例_2.json","{\"framework\": \"Express + OpenTelemetry JavaScript + node-fetch\", \"code_summary\": \"The Express route extracts the parent context from inbound request headers, creates an inventory.lookup server span on that parent context, and establishes the request context via trace.setSpan. Before calling the inventory service, it creates a new headers object and injects propagation fields, records exception paths to the span, and finally ends the span and returns the downstream response.\", \"source_artifact\": \"{\\\"source_code\\\": \\\"import express from 'express';\\\\nimport { context, propagation, trace, SpanKind } from '@opentelemetry\u002Fapi';\\\\nimport fetch from 'node-fetch';\\\\n\\\\nconst app = express();\\\\nconst tracer = trace.getTracer('inventory-gateway');\\\\n\\\\napp.get('\u002Finventory\u002F:sku', async (req, res) => {\\\\n  const parentContext = propagation.extract(context.active(), req.headers);\\\\n  const span = tracer.startSpan('inventory.lookup', { kind: SpanKind.SERVER }, parentContext);\\\\n  const requestContext = trace.setSpan(parentContext, span);\\\\n  try {\\\\n    const headers = {};\\\\n    propagation.inject(requestContext, headers);\\\\n    const upstream = await fetch(`http:\u002F\u002Finventory\u002Finternal\u002Fitems\u002F${req.params.sku}`, { headers });\\\\n    res.status(upstream.status).send(await upstream.text());\\\\n  } catch (error) {\\\\n    span.recordException(error);\\\\n    res.status(502).send('upstream failure');\\\\n  } finally {\\\\n    span.end();\\\\n  }\\\\n});\\\\n\\\\napp.listen(3000);\\\\n\\\", \\\"declared_language\\\": \\\"JavaScript\\\", \\\"declared_framework\\\": \\\"Express + OpenTelemetry JavaScript + node-fetch\\\", \\\"file_path\\\": \\\"src\u002Froutes\u002Finventory.js\\\"}\", \"context_api_names\": \"[\\\"context.active\\\", \\\"propagation.extract\\\", \\\"tracer.startSpan\\\", \\\"trace.setSpan\\\", \\\"propagation.inject\\\", \\\"span.recordException\\\", \\\"span.end\\\"]\", \"metadata_carriers\": \"[\\\"Express req.headers\\\", \\\"Node.js headers object\\\", \\\"HTTP response headers\\\"]\", \"propagation_stages\": \"[\\\"Inbound Express request header extraction\\\", \\\"Server span creation\\\", \\\"Current request context association\\\", \\\"Downstream HTTP request header injection\\\", \\\"Exception recording and span ending\\\"]\", \"propagation_pattern\": \"Using OpenTelemetry JavaScript Context to explicitly store the parent context and current span, and inject the propagation context into node-fetch outbound HTTP headers.\", \"programming_language\": \"JavaScript\", \"service_boundary_types\": \"[\\\"Express HTTP inbound boundary\\\", \\\"node-fetch HTTP outbound boundary\\\", \\\"Gateway-to-inventory-service call\\\"]\", \"trace_identifier_types\": \"[\\\"W3C traceparent\\\", \\\"trace_id\\\", \\\"span_id\\\"]\", \"supports_cross_service_propagation\": \"true\"}","Express + OpenTelemetry JavaScript + node-fetch","The Express route extracts the parent context from inbound request headers, creates an inventory.lookup server span on that parent context, and establishes the request context via trace.setSpan. Before calling the inventory service, it creates a new headers object and injects propagation fields, records exception paths to the span, and finally ends the span and returns the downstream response.","{\"source_code\": \"import express from 'express';\\nimport { context, propagation, trace, SpanKind } from '@opentelemetry\u002Fapi';\\nimport fetch from 'node-fetch';\\n\\nconst app = express();\\nconst tracer = trace.getTracer('inventory-gateway');\\n\\napp.get('\u002Finventory\u002F:sku', async (req, res) => {\\n  const parentContext = propagation.extract(context.active(), req.headers);\\n  const span = tracer.startSpan('inventory.lookup', { kind: SpanKind.SERVER }, parentContext);\\n  const requestContext = trace.setSpan(parentContext, span);\\n  try {\\n    const headers = {};\\n    propagation.inject(requestContext, headers);\\n    const upstream = await fetch(`http:\u002F\u002Finventory\u002Finternal\u002Fitems\u002F${req.params.sku}`, { headers });\\n    res.status(upstream.status).send(await upstream.text());\\n  } catch (error) {\\n    span.recordException(error);\\n    res.status(502).send('upstream failure');\\n  } finally {\\n    span.end();\\n  }\\n});\\n\\napp.listen(3000);\\n\", \"declared_language\": \"JavaScript\", \"declared_framework\": \"Express + OpenTelemetry JavaScript + node-fetch\", \"file_path\": \"src\u002Froutes\u002Finventory.js\"}","[\"context.active\", \"propagation.extract\", \"tracer.startSpan\", \"trace.setSpan\", \"propagation.inject\", \"span.recordException\", \"span.end\"]","[\"Express req.headers\", \"Node.js headers object\", \"HTTP response headers\"]","[\"Inbound Express request header extraction\", \"Server span creation\", \"Current request context association\", \"Downstream HTTP request header injection\", \"Exception recording and span ending\"]","Using OpenTelemetry JavaScript Context to explicitly store the parent context and current span, and inject the propagation context into node-fetch outbound HTTP headers.","JavaScript","[\"Express HTTP inbound boundary\", \"node-fetch HTTP outbound boundary\", \"Gateway-to-inventory-service call\"]","[\"W3C traceparent\", \"trace_id\", \"span_id\"]",{"id":699,"relate_table":666,"relate_id":700,"file_size":572,"file_name":701,"path":8,"duration":572,"cate":483,"file_format":669,"audio_rate":8,"audio_channel":522,"audio_bit_depth":522,"quality":8,"annotation":702,"cate_name":671,"framework":703,"code_summary":704,"source_artifact":705,"context_api_names":706,"metadata_carriers":707,"propagation_stages":708,"propagation_pattern":709,"programming_language":710,"service_boundary_types":711,"trace_identifier_types":697,"supports_cross_service_propagation":682},15019,1817034683,"样例_1.json","{\"framework\": \"Go net\u002Fhttp + OpenTelemetry Go\", \"code_summary\": \"The code first extracts the propagation context from inbound HTTP request headers, then uses that context to create a server span for checkout-service. When calling the downstream orders service, it binds the context via NewRequestWithContext and uses HeaderCarrier to inject propagation fields such as traceparent into the outbound request headers, thereby forwarding the trace context across the HTTP service boundary.\", \"source_artifact\": \"{\\\"source_code\\\": \\\"package checkout\\\\n\\\\nimport (\\\\n\\\\t\\\\\\\"net\u002Fhttp\\\\\\\"\\\\n\\\\t\\\\\\\"go.opentelemetry.io\u002Fotel\\\\\\\"\\\\n\\\\t\\\\\\\"go.opentelemetry.io\u002Fotel\u002Fpropagation\\\\\\\"\\\\n)\\\\n\\\\nfunc ForwardOrder(w http.ResponseWriter, r *http.Request) {\\\\n\\\\tctx := otel.GetTextMapPropagator().Extract(r.Context(), propagation.HeaderCarrier(r.Header))\\\\n\\\\ttracer := otel.Tracer(\\\\\\\"checkout-service\\\\\\\")\\\\n\\\\tctx, span := tracer.Start(ctx, \\\\\\\"forward-order\\\\\\\")\\\\n\\\\tdefer span.End()\\\\n\\\\n\\\\treq, err := http.NewRequestWithContext(ctx, http.MethodGet, \\\\\\\"http:\u002F\u002Forders\u002Finternal\u002Forder\\\\\\\", nil)\\\\n\\\\tif err != nil { http.Error(w, err.Error(), http.StatusBadRequest); return }\\\\n\\\\totel.GetTextMapPropagator().Inject(ctx, propagation.HeaderCarrier(req.Header))\\\\n\\\\tresp, err := http.DefaultClient.Do(req)\\\\n\\\\tif err != nil { http.Error(w, err.Error(), http.StatusBadGateway); return }\\\\n\\\\tdefer resp.Body.Close()\\\\n\\\\tw.WriteHeader(resp.StatusCode)\\\\n}\\\\n\\\", \\\"declared_language\\\": \\\"Go\\\", \\\"declared_framework\\\": \\\"Go net\u002Fhttp + OpenTelemetry Go\\\", \\\"file_path\\\": \\\"internal\u002Fhttp\u002Fforward_order.go\\\"}\", \"context_api_names\": \"[\\\"r.Context()\\\", \\\"otel.GetTextMapPropagator().Extract\\\", \\\"tracer.Start\\\", \\\"http.NewRequestWithContext\\\", \\\"otel.GetTextMapPropagator().Inject\\\", \\\"propagation.HeaderCarrier\\\"]\", \"metadata_carriers\": \"[\\\"HTTP request headers\\\", \\\"http.Header\\\", \\\"propagation.HeaderCarrier\\\"]\", \"propagation_stages\": \"[\\\"Inbound HTTP request header extraction\\\", \\\"Server span creation\\\", \\\"Downstream HTTP request context binding\\\", \\\"Outbound HTTP request header injection\\\"]\", \"propagation_pattern\": \"Explicit context propagation based on Go context.Context, with context injected into and extracted from HTTP request headers through the OpenTelemetry W3C propagator.\", \"programming_language\": \"Go\", \"service_boundary_types\": \"[\\\"HTTP inbound service boundary\\\", \\\"HTTP outbound service call\\\", \\\"Microservice-to-microservice call\\\"]\", \"trace_identifier_types\": \"[\\\"W3C traceparent\\\", \\\"trace_id\\\", \\\"span_id\\\"]\", \"supports_cross_service_propagation\": \"true\"}","Go net\u002Fhttp + OpenTelemetry Go","The code first extracts the propagation context from inbound HTTP request headers, then uses that context to create a server span for checkout-service. When calling the downstream orders service, it binds the context via NewRequestWithContext and uses HeaderCarrier to inject propagation fields such as traceparent into the outbound request headers, thereby forwarding the trace context across the HTTP service boundary.","{\"source_code\": \"package checkout\\n\\nimport (\\n\\t\\\"net\u002Fhttp\\\"\\n\\t\\\"go.opentelemetry.io\u002Fotel\\\"\\n\\t\\\"go.opentelemetry.io\u002Fotel\u002Fpropagation\\\"\\n)\\n\\nfunc ForwardOrder(w http.ResponseWriter, r *http.Request) {\\n\\tctx := otel.GetTextMapPropagator().Extract(r.Context(), propagation.HeaderCarrier(r.Header))\\n\\ttracer := otel.Tracer(\\\"checkout-service\\\")\\n\\tctx, span := tracer.Start(ctx, \\\"forward-order\\\")\\n\\tdefer span.End()\\n\\n\\treq, err := http.NewRequestWithContext(ctx, http.MethodGet, \\\"http:\u002F\u002Forders\u002Finternal\u002Forder\\\", nil)\\n\\tif err != nil { http.Error(w, err.Error(), http.StatusBadRequest); return }\\n\\totel.GetTextMapPropagator().Inject(ctx, propagation.HeaderCarrier(req.Header))\\n\\tresp, err := http.DefaultClient.Do(req)\\n\\tif err != nil { http.Error(w, err.Error(), http.StatusBadGateway); return }\\n\\tdefer resp.Body.Close()\\n\\tw.WriteHeader(resp.StatusCode)\\n}\\n\", \"declared_language\": \"Go\", \"declared_framework\": \"Go net\u002Fhttp + OpenTelemetry Go\", \"file_path\": \"internal\u002Fhttp\u002Fforward_order.go\"}","[\"r.Context()\", \"otel.GetTextMapPropagator().Extract\", \"tracer.Start\", \"http.NewRequestWithContext\", \"otel.GetTextMapPropagator().Inject\", \"propagation.HeaderCarrier\"]","[\"HTTP request headers\", \"http.Header\", \"propagation.HeaderCarrier\"]","[\"Inbound HTTP request header extraction\", \"Server span creation\", \"Downstream HTTP request context binding\", \"Outbound HTTP request header injection\"]","Explicit context propagation based on Go context.Context, with context injected into and extracted from HTTP request headers through the OpenTelemetry W3C propagator.","Go","[\"HTTP inbound service boundary\", \"HTTP outbound service call\", \"Microservice-to-microservice call\"]","{\"framework\":\"FastAPI + OpenTelemetry Python + httpx\",\"code_summary\":\"The FastAPI handler converts inbound request headers into a dictionary and extracts the parent context, then uses context.attach to bind it to the current asynchronous execution scope. The handler creates a recommendation.lookup server span, uses propagate.inject to generate HTTP propagation headers sent to the profile service, and restores the original context via context.detach after the call completes.\",\"source_artifact\":\"{\\\"source_code\\\": \\\"from fastapi import FastAPI, Request\\\\nfrom opentelemetry import context, propagate, trace\\\\nfrom opentelemetry.trace import SpanKind\\\\nimport httpx\\\\n\\\\napp = FastAPI()\\\\ntracer = trace.get_tracer('recommendation-service')\\\\n\\\\n@app.get('\\\u002Frecommendations')\\\\nasync def recommendations(request: Request):\\\\n    carrier = dict(request.headers)\\\\n    parent_ctx = propagate.extract(carrier)\\\\n    token = context.attach(parent_ctx)\\\\n    try:\\\\n        with tracer.start_as_current_span('recommendation.lookup', kind=SpanKind.SERVER) as span:\\\\n            outbound_headers = {}\\\\n            propagate.inject(outbound_headers)\\\\n            async with httpx.AsyncClient() as client:\\\\n                upstream = await client.get('http:\\\u002F\\\u002Fprofile\\\u002Finternal\\\u002Fpreferences', headers=outbound_headers)\\\\n            return {'status_code': upstream.status_code}\\\\n    finally:\\\\n        context.detach(token)\\\\n\\\", \\\"declared_language\\\": \\\"Python\\\", \\\"declared_framework\\\": \\\"FastAPI + OpenTelemetry Python + httpx\\\", \\\"file_path\\\": \\\"app\\\u002Froutes\\\u002Frecommendations.py\\\"}\",\"context_api_names\":\"[\\\"propagate.extract\\\", \\\"context.attach\\\", \\\"tracer.start_as_current_span\\\", \\\"propagate.inject\\\", \\\"context.detach\\\", \\\"SpanKind.SERVER\\\"]\",\"metadata_carriers\":\"[\\\"FastAPI Request headers\\\", \\\"Python dict\\\", \\\"HTTP request headers\\\"]\",\"propagation_stages\":\"[\\\"Inbound request headers converted to carrier\\\", \\\"Parent context extraction\\\", \\\"Async task context binding\\\", \\\"Server span creation\\\", \\\"Downstream HTTP request header injection\\\", \\\"Context restoration after request completion\\\"]\",\"propagation_pattern\":\"Explicitly attaches to the asynchronous request handling process through OpenTelemetry Python Context, and uses the standard propagator to extract and inject trace and baggage metadata in the HTTP header dictionary.\",\"programming_language\":\"Python\",\"service_boundary_types\":\"[\\\"FastAPI HTTP inbound boundary\\\", \\\"httpx HTTP outbound boundary\\\", \\\"Recommendation service to user profile service call\\\"]\",\"trace_identifier_types\":\"[\\\"W3C traceparent\\\", \\\"trace_id\\\", \\\"span_id\\\", \\\"baggage\\\"]\",\"supports_cross_service_propagation\":\"true\"}","MOBIUSI INC","https:\u002F\u002Fstatic.mobiusi.com\u002Fmobiwusi\u002F20250829\u002F7bf4ac62b4533e2b809998a6f1c5491e.png?Expires=1792463130&OSSAccessKeyId=LTAI5tH8MQqhgeiAtrzCHrxM&Signature=v6Tr8jBrdm4s5wU1SnnyGsYg%2Bhw%3D&x-oss-process=image%2Fresize%2Cm_fill%2Cw_35%2Ch_35",[716,722],{"type":717,"title":718,"count_data":719},"bar","Length distribution",[720],{"name":721,"value":483},"1k lower",{"type":723,"title":724,"count_data":725},"pie","Language distribution",[726],{"name":727,"value":483},"English"]