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1
web/backend/.gitignore vendored Normal file
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jobs

17
web/backend/Project.toml Normal file
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name = "Backend"
uuid = "948642ed-e3f9-4642-9296-0f1eaf40c938"
version = "0.1.0"
authors = ["Alinson S. Xavier <git@axavier.org>"]
[deps]
CodecZlib = "944b1d66-785c-5afd-91f1-9de20f533193"
HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3"
JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
UnitCommitment = "64606440-39ea-11e9-0f29-3303a1d3d877"
[compat]
CodecZlib = "0.7.8"
HTTP = "1.10.19"
JSON = "0.21.4"
Random = "1.11.0"

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# UnitCommitment.jl: Optimization Package for Security-Constrained Unit Commitment
# Copyright (C) 2025, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
module Backend
basedir = joinpath(dirname(@__FILE__), "..")
include("jobs.jl")
include("server.jl")
end

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web/backend/src/jobs.jl Normal file
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# UnitCommitment.jl: Optimization Package for Security-Constrained Unit Commitment
# Copyright (C) 2025, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
using UnitCommitment
import Base: put!
Base.@kwdef mutable struct JobProcessor
pending::Channel{String} = Channel{String}(Inf)
processing::Channel{String} = Channel{String}(Inf)
shutdown::Channel{Bool} = Channel{Bool}(1)
worker_task::Union{Task,Nothing} = nothing
optimizer = nothing
end
function Base.put!(processor::JobProcessor, job_id::String)
@info "New job received: $job_id"
return put!(processor.pending, job_id)
end
function isbusy(processor::JobProcessor)
return isready(processor.pending) || isready(processor.processing)
end
function run!(processor::JobProcessor)
while true
# Check for shutdown signal
if isready(processor.shutdown)
break
end
# Wait for a job with timeout
if !isready(processor.pending)
sleep(0.1)
continue
end
# Move job from pending to processing queue
job_id = take!(processor.pending)
@info "Processing job: $job_id"
job_dir = joinpath(basedir, "jobs", job_id)
log_path = joinpath(job_dir, "output.log")
put!(processor.processing, job_id)
# Run optimization
try
open(log_path, "w") do io
redirect_stdout(io) do
redirect_stderr(io) do
json_path = joinpath(job_dir, "input.json.gz")
instance = UnitCommitment.read(json_path)
model = UnitCommitment.build_model(;
instance,
optimizer = processor.optimizer,
)
UnitCommitment.optimize!(model)
solution = UnitCommitment.solution(model)
return UnitCommitment.write(
joinpath(job_dir, "output.json"),
solution,
)
end
end
end
# Remove job from processing queue
take!(processor.processing)
catch e
open(log_path, "a") do io
println(io, "\nError: ", e)
println(io, "\nStacktrace:")
return Base.show_backtrace(io, catch_backtrace())
end
end
end
end
function start(processor::JobProcessor)
processor.worker_task = @async run!(processor)
return
end
function stop(processor::JobProcessor)
# Signal worker to stop
put!(processor.shutdown, true)
# Wait for worker to finish
if processor.worker_task !== nothing
try
wait(processor.worker_task)
catch
# Worker may have already exited
end
end
return
end
export JobProcessor, start, stop, put!, isbusy

73
web/backend/src/server.jl Normal file
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using HTTP
using Random
using JSON
using CodecZlib
using UnitCommitment
struct ServerHandle
server::HTTP.Server
processor::JobProcessor
end
function submit(req, processor::JobProcessor)
# Check if request body is empty
compressed_body = HTTP.payload(req)
if isempty(compressed_body)
return HTTP.Response(400, "Error: No file provided")
end
# Validate compressed JSON by decompressing and parsing
try
decompressed_data = transcode(GzipDecompressor, compressed_body)
JSON.parse(String(decompressed_data))
catch e
return HTTP.Response(400, "Error: Invalid compressed JSON")
end
# Generate random job ID (lowercase letters and numbers)
job_id = randstring(['a':'z'; '0':'9'], 16)
# Create job directory
job_dir = joinpath(basedir, "jobs", job_id)
mkpath(job_dir)
# Save input file
json_path = joinpath(job_dir, "input.json.gz")
write(json_path, compressed_body)
# Add job to queue
put!(processor, job_id)
# Return job ID as JSON
response_body = JSON.json(Dict("job_id" => job_id))
return HTTP.Response(200, response_body)
end
function jobs_view(req)
return HTTP.Response(200, "OK")
end
function start_server(port::Int = 8080; optimizer)
Random.seed!()
# Create and start job processor
processor = JobProcessor(optimizer = optimizer)
start(processor)
router = HTTP.Router()
# Register /submit endpoint
HTTP.register!(router, "POST", "/submit", req -> submit(req, processor))
# Register job/*/view endpoint
HTTP.register!(router, "GET", "/jobs/*/view", jobs_view)
server = HTTP.serve!(router, port; verbose = false)
return ServerHandle(server, processor)
end
function stop(handle::ServerHandle)
stop(handle.processor)
close(handle.server)
return nothing
end

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name = "BackendT"
uuid = "27da795e-16fd-43bd-a2ba-f77bdecaf977"
version = "0.1.0"
authors = ["Alinson S. Xavier <git@axavier.org>"]
[deps]
Backend = "948642ed-e3f9-4642-9296-0f1eaf40c938"
CodecZlib = "944b1d66-785c-5afd-91f1-9de20f533193"
HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3"
HiGHS = "87dc4568-4c63-4d18-b0c0-bb2238e4078b"
JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
JuliaFormatter = "98e50ef6-434e-11e9-1051-2b60c6c9e899"
Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
[compat]
CodecZlib = "0.7.8"
HTTP = "1.10.19"
HiGHS = "1.20.1"
JSON = "0.21.4"
JuliaFormatter = "2.2.0"
Revise = "3.12.0"
Test = "1.11.0"

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# UnitCommitment.jl: Optimization Package for Security-Constrained Unit Commitment
# Copyright (C) 2025, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
module BackendT
using Test
using HTTP
using JSON
using CodecZlib
import Backend
import JuliaFormatter
using HiGHS
BASEDIR = dirname(@__FILE__)
include("jobs_test.jl")
include("server_test.jl")
function fixture(path::String)::String
return "$BASEDIR/../fixtures/$path"
end
function runtests()
@testset "UCJL Backend" begin
server_test_usage()
# jobs_test_usage()
end
return
end
function format()
JuliaFormatter.format(BASEDIR, verbose = true)
JuliaFormatter.format("$BASEDIR/../../src", verbose = true)
return
end
export runtests, format
end

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# UnitCommitment.jl: Optimization Package for Security-Constrained Unit Commitment
# Copyright (C) 2025, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
using Backend
using Test
using HiGHS
function jobs_test_usage()
@testset "JobProcessor" begin
# Setup job directory
job_id = "qwe123"
job_dir = joinpath(Backend.basedir, "jobs", job_id)
mkpath(job_dir)
cp(fixture("case14.json.gz"), joinpath(job_dir, "input.json.gz"))
try
# Create processor with HiGHS optimizer
processor = JobProcessor(optimizer = HiGHS.Optimizer)
# Start the worker
start(processor)
# Push job to queue
put!(processor, job_id)
# Wait until all jobs are processed
while isbusy(processor)
sleep(0.1)
end
# Check that solution file exists
output_path = joinpath(job_dir, "output.json")
@test isfile(output_path)
# Stop the worker
stop(processor)
finally
# Cleanup
rm(job_dir, recursive = true, force = true)
end
end
end

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# UnitCommitment.jl: Optimization Package for Security-Constrained Unit Commitment
# Copyright (C) 2025, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
const PORT = 32617
function server_test_usage()
server = Backend.start_server(PORT; optimizer = HiGHS.Optimizer)
# Read the compressed fixture file
compressed_data = read(fixture("case14.json.gz"))
# Submit test case
response = HTTP.post(
"http://localhost:$PORT/submit",
["Content-Type" => "application/gzip"],
compressed_data,
)
@test response.status == 200
# Check response
response_data = JSON.parse(String(response.body))
@test haskey(response_data, "job_id")
job_id = response_data["job_id"]
@test length(job_id) == 16
# Wait for jobs to finish and stop server
sleep(0.1)
stop(server)
# Verify the compressed file was saved correctly
job_dir = joinpath(Backend.basedir, "jobs", job_id)
saved_input_path = joinpath(job_dir, "input.json.gz")
saved_log_path = joinpath(job_dir, "output.log")
saved_output_path = joinpath(job_dir, "output.json")
@test isfile(saved_input_path)
@test isfile(saved_log_path)
@test isfile(saved_output_path)
saved_data = read(saved_input_path)
@test saved_data == compressed_data
# Clean up: remove the job directory
# rm(job_dir, recursive=true)
end

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