Fix telemetry: GitHub no longer allows anonymous gists

- Replace failed anonymous gist creation with local file save
- GitHub API now requires authentication for all gist creation
- Provide clear instructions for manual sharing via multiple channels
- Generate descriptive filenames with system information
- Remove HTTP/JSON dependencies (no longer needed)
- Clean user experience with helpful sharing guidance
- Ensures benchmark data is always saved and shareable

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>

Author: ChrisRackauckas

lib/LinearSolveAutotune/Project.toml

@@ -9,8 +9,6 @@ BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
 Base64 = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
 CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
-HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3"
-JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
 Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
 PrettyTables = "08abe8d2-0d0c-5749-adfa-8a2ac140af0d"
 Preferences = "21216c6a-2e73-6563-6e65-726566657250"
@@ -36,8 +34,6 @@ BenchmarkTools = "1"
 Base64 = "1"
 CSV = "0.10"
 DataFrames = "1"
-HTTP = "1"
-JSON = "0.21"
 Plots = "1"
 PrettyTables = "2"
 Preferences = "1"

lib/LinearSolveAutotune/src/LinearSolveAutotune.jl

@@ -14,9 +14,7 @@ using Dates
 using Base64
 using RecursiveFactorization  # Hard dependency to ensure RFLUFactorization is available
 
-# Optional dependencies for telemetry and plotting
-using HTTP
-using JSON
+# Optional dependencies for plotting
 using Plots
 
 # Load JLL packages when available for better library access
@@ -133,9 +131,9 @@ function autotune_setup(;
     @info "Configuration: large_matrices=$large_matrices, telemetry=$telemetry, make_plot=$make_plot, set_preferences=$set_preferences"
     @info "Element types to benchmark: $(join(eltypes, ", "))"
 
-    # Note: Using anonymous gists for telemetry - no authentication needed
+    # Note: Telemetry saves results locally with sharing instructions
     if telemetry
-        @info "🌐 Telemetry enabled - will share results via anonymous GitHub gist"
+        @info "📁 Telemetry enabled - will save results with sharing instructions"
     end
 
     # Get system information

lib/LinearSolveAutotune/src/telemetry.jl

@@ -153,81 +153,37 @@ end
     upload_to_github(content::String, plot_files::Union{Nothing, Tuple, Dict}, auth,
                      results_df::DataFrame, system_info::Dict, categories::Dict)
 
-Share benchmark results via anonymous GitHub gist (no authentication required).
+Save benchmark results locally with instructions for community sharing.
 """
 function upload_to_github(content::String, plot_files::Union{Nothing, Tuple, Dict}, auth,
                          results_df::DataFrame, system_info::Dict, categories::Dict)
 
-    @info "🌐 Sharing benchmark results via anonymous GitHub gist..."
+    @info "📁 Saving benchmark results for community sharing..."
 
-    try
-        # Create anonymous gist with benchmark results
-        gist_url = create_anonymous_gist(content, system_info)
-        
-        if gist_url !== nothing
-            @info "✅ Anonymous gist created successfully!"
-            @info "🔗 Share this URL with the LinearSolve.jl community: $gist_url"
-            @info "🤝 Your benchmark data helps improve LinearSolve.jl for everyone!"
-            return
-        else
-            @warn "Failed to create anonymous gist"
-        end
-    catch e
-        @warn "❌ Failed to create anonymous gist: $e"
-    end
-    
-    # Fallback to local save
-    @info "📁 Saving results locally as backup..."
+    # Create timestamp and system identifier for filename
     timestamp = replace(string(Dates.now()), ":" => "-")
-    fallback_file = "autotune_results_$(timestamp).md"
-    open(fallback_file, "w") do f
+    cpu_name = get(system_info, "cpu_name", "unknown")
+    os_name = get(system_info, "os", "unknown")
+    
+    # Create a descriptive filename
+    cpu_short = replace(lowercase(cpu_name), r"[^a-zA-Z0-9]" => "_")[1:min(10, end)]
+    os_short = replace(lowercase(os_name), r"[^a-zA-Z0-9]" => "_")[1:min(6, end)]
+    filename = "linearsolve_benchmark_$(cpu_short)_$(os_short)_$(timestamp).md"
+    
+    # Save the results
+    open(filename, "w") do f
         write(f, content)
     end
-    @info "📁 Results saved locally to $fallback_file"
-    @info "💡 You can manually share this file with the LinearSolve.jl community"
+    
+    @info "✅ Benchmark results saved to: $filename"
+    @info ""
+    @info "🤝 Help improve LinearSolve.jl by sharing your results!"
+    @info "📋 Easy sharing options:"
+    @info "   1. Create a GitHub gist: https://gist.github.com (paste file contents)"
+    @info "   2. Share in Julia Discourse: https://discourse.julialang.org"
+    @info "   3. Open an issue: https://github.com/SciML/LinearSolve.jl/issues"
+    @info "   4. Post in Julia Slack/Discord communities"
+    @info ""
+    @info "🎯 Your hardware's performance data helps the entire Julia community!"
 end
 
-"""
-    create_anonymous_gist(content, system_info)
-
-Create an anonymous GitHub gist with benchmark results (no auth required).
-"""
-function create_anonymous_gist(content, system_info)
-    try
-        # Create gist payload
-        cpu_name = get(system_info, "cpu_name", "Unknown CPU")
-        os_name = get(system_info, "os", "Unknown OS")
-        timestamp = Dates.format(Dates.now(), "yyyy-mm-dd")
-        
-        filename = "linearsolve_benchmark_$(cpu_name)_$(os_name)_$(timestamp).md"
-        # Sanitize filename
-        filename = replace(filename, r"[^a-zA-Z0-9._-]" => "_")
-        
-        gist_data = Dict(
-            "description" => "LinearSolve.jl Autotune Benchmark Results - $cpu_name on $os_name",
-            "public" => true,
-            "files" => Dict(
-                filename => Dict(
-                    "content" => content
-                )
-            )
-        )
-        
-        # Post to GitHub gist API (no auth required for anonymous gists)
-        response = HTTP.post(
-            "https://api.github.com/gists",
-            ["Content-Type" => "application/json"],
-            JSON.json(gist_data)
-        )
-        
-        if response.status == 201
-            result = JSON.parse(String(response.body))
-            return result["html_url"]
-        else
-            return nothing
-        end
-    catch e
-        @debug "Anonymous gist creation failed: $e"
-        return nothing
-    end
-end