Add fortunes to django

[ruroru]

Description

---

PR Commands — comment on this PR to trigger (requires collaborator approval):

Command	Description
/benchmark -f <framework>	Run every test the framework subscribes to
/benchmark -f <framework> -t <test>	Run one test only
/benchmark -f <framework> --save	Run and save results (updates the leaderboard on merge)
/benchmark -f <framework> -t <test> --save	Run one test and save results
/benchmark -f <framework> --compare <other>	Measure the deltas against another framework instead of this one
/benchmark-multiple -f <fw1>,<fw2>,...	Benchmark several frameworks in one run — takes -t and --save too; saved results land in a single commit
/benchmark-multiple --save	No -f needed: benchmark and save every framework the PR touches
/benchmark-test -t <test>	Benchmark all enabled frameworks subscribed to <test> and save the results

For /benchmark, always specify -f <framework>; the flags combine in any order. Results come back as a comment with a per-profile table of RPS, p99, CPU and memory — one table per framework on multi runs. A new benchmark comment while a run is in flight queues behind it (one deep) instead of cancelling it. For multi-framework PRs (dependency bumps, same-language refactors) prefer /benchmark-multiple, which runs everything in a single job and commits all saved results together, so no run overwrites another. --compare works on single-framework runs only.

What the deltas are measured against. By default, this framework's own results published on main - answering "did this change help?". When you are tuning a variant or a successor entry, --compare re-bases them on another entry instead:

/benchmark -f genhttp --compare genhttp-kestrel

The reply states which baseline it used, and profiles the other framework does not run show n/a rather than a delta.

---

Run benchmarks locally

You can validate and benchmark your framework locally with the lite script — no CPU pinning, fixed connection counts, all load generators run in Docker.

./scripts/validate.sh <framework>
./scripts/benchmark-lite.sh <framework> baseline
./scripts/benchmark-lite.sh --load-threads 4 <framework>

Requirements: Docker Engine on Linux. Load generators (gcannon, h2load, h2load-h3, wrk) are built as self-contained Docker images on first run.

[ruroru]

benchmark -f django -t fortunes --save

[Kaliumhexacyanoferrat]

/benchmark -f django -t fortunes --save

[github-actions]

👋 Benchmark request received. A collaborator will review and approve the run.

[github-actions]

Benchmark Results

Framework: django | Test: fortunes

Test	Conn	RPS	CPU	Mem	Δ RPS	Δ Mem
fortunes	1024	5,500	5117.8%	5.4GiB	NEW	NEW

Full log

#5 [1/5] FROM docker.io/library/python:3.13-slim@sha256:9d2e5553305c7c7b0097999bb17187c69b921ccd6bc9d40e4bb5ebe652c00285
#5 resolve docker.io/library/python:3.13-slim@sha256:9d2e5553305c7c7b0097999bb17187c69b921ccd6bc9d40e4bb5ebe652c00285 0.1s done
#5 DONE 0.4s

#5 [1/5] FROM docker.io/library/python:3.13-slim@sha256:9d2e5553305c7c7b0097999bb17187c69b921ccd6bc9d40e4bb5ebe652c00285
#5 sha256:9b83eae799b831086df12d4da65c2edb0e6c713caa4312455bc8ee4b1a256c39 249B / 249B 0.1s done
#5 sha256:237e12970bdcabcdd95dab0f8dc59cda22b450156ee0bd01c58e0cf3b9c43885 3.15MB / 11.91MB 0.3s
#5 sha256:5bbcb35ea63ee8dd9b96c06b0f78b33c9a32e06e5b14e1bfeb46b498a93edb5d 0B / 4.27MB 0.2s
#5 sha256:237e12970bdcabcdd95dab0f8dc59cda22b450156ee0bd01c58e0cf3b9c43885 11.91MB / 11.91MB 0.4s done
#5 sha256:5bbcb35ea63ee8dd9b96c06b0f78b33c9a32e06e5b14e1bfeb46b498a93edb5d 4.27MB / 4.27MB 0.5s done
#5 extracting sha256:5bbcb35ea63ee8dd9b96c06b0f78b33c9a32e06e5b14e1bfeb46b498a93edb5d
#5 extracting sha256:5bbcb35ea63ee8dd9b96c06b0f78b33c9a32e06e5b14e1bfeb46b498a93edb5d 0.3s done
#5 DONE 1.3s

#5 [1/5] FROM docker.io/library/python:3.13-slim@sha256:9d2e5553305c7c7b0097999bb17187c69b921ccd6bc9d40e4bb5ebe652c00285
#5 extracting sha256:237e12970bdcabcdd95dab0f8dc59cda22b450156ee0bd01c58e0cf3b9c43885
#5 extracting sha256:237e12970bdcabcdd95dab0f8dc59cda22b450156ee0bd01c58e0cf3b9c43885 0.6s done
#5 DONE 1.9s

#5 [1/5] FROM docker.io/library/python:3.13-slim@sha256:9d2e5553305c7c7b0097999bb17187c69b921ccd6bc9d40e4bb5ebe652c00285
#5 extracting sha256:9b83eae799b831086df12d4da65c2edb0e6c713caa4312455bc8ee4b1a256c39 0.1s done
#5 DONE 2.0s

#6 [2/5] WORKDIR /app
#6 DONE 0.3s

#7 [3/5] COPY requirements.txt .
#7 DONE 0.2s

#8 [4/5] RUN pip install --no-cache-dir -r requirements.txt
#8 2.886 Collecting Django==6.1 (from -r requirements.txt (line 1))
#8 2.995   Downloading django-6.1-py3-none-any.whl.metadata (3.9 kB)
#8 3.018 Collecting uvicorn==0.52.3 (from uvicorn[standard]==0.52.3->-r requirements.txt (line 2))
#8 3.028   Downloading uvicorn-0.52.3-py3-none-any.whl.metadata (6.6 kB)
#8 3.065 Collecting asyncpg==0.30.0 (from -r requirements.txt (line 3))
#8 3.077   Downloading asyncpg-0.30.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.0 kB)
#8 3.100 Collecting redis==5.2.1 (from -r requirements.txt (line 4))
#8 3.111   Downloading redis-5.2.1-py3-none-any.whl.metadata (9.1 kB)
#8 3.131 Collecting asgiref>=3.9.1 (from Django==6.1->-r requirements.txt (line 1))
#8 3.141   Downloading asgiref-3.12.1-py3-none-any.whl.metadata (9.4 kB)
#8 3.156 Collecting sqlparse>=0.5.0 (from Django==6.1->-r requirements.txt (line 1))
#8 3.166   Downloading sqlparse-0.6.0-py3-none-any.whl.metadata (6.0 kB)
#8 3.184 Collecting click>=7.0 (from uvicorn==0.52.3->uvicorn[standard]==0.52.3->-r requirements.txt (line 2))
#8 3.194   Downloading click-8.5.0-py3-none-any.whl.metadata (2.6 kB)
#8 3.206 Collecting h11>=0.8 (from uvicorn==0.52.3->uvicorn[standard]==0.52.3->-r requirements.txt (line 2))
#8 3.217   Downloading h11-0.16.0-py3-none-any.whl.metadata (8.3 kB)
#8 3.246 Collecting httptools>=0.8.0 (from uvicorn[standard]==0.52.3->-r requirements.txt (line 2))
#8 3.256   Downloading httptools-0.8.0-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl.metadata (3.5 kB)
#8 3.272 Collecting python-dotenv>=0.13 (from uvicorn[standard]==0.52.3->-r requirements.txt (line 2))
#8 3.282   Downloading python_dotenv-1.2.3-py3-none-any.whl.metadata (29 kB)
#8 3.318 Collecting pyyaml>=5.1 (from uvicorn[standard]==0.52.3->-r requirements.txt (line 2))
#8 3.328   Downloading pyyaml-6.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (2.4 kB)
#8 3.361 Collecting uvloop>=0.15.1 (from uvicorn[standard]==0.52.3->-r requirements.txt (line 2))
#8 3.370   Downloading uvloop-0.22.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (4.9 kB)
#8 3.439 Collecting watchfiles>=0.20 (from uvicorn[standard]==0.52.3->-r requirements.txt (line 2))
#8 3.450   Downloading watchfiles-1.2.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.9 kB)
#8 3.543 Collecting websockets>=13.0 (from uvicorn[standard]==0.52.3->-r requirements.txt (line 2))
#8 3.553   Downloading websockets-17.1-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl.metadata (6.3 kB)
#8 3.573 Collecting anyio>=3.0.0 (from watchfiles>=0.20->uvicorn[standard]==0.52.3->-r requirements.txt (line 2))
#8 3.583   Downloading anyio-4.14.2-py3-none-any.whl.metadata (4.6 kB)
#8 3.597 Collecting idna>=2.8 (from anyio>=3.0.0->watchfiles>=0.20->uvicorn[standard]==0.52.3->-r requirements.txt (line 2))
#8 3.607   Downloading idna-3.19-py3-none-any.whl.metadata (9.2 kB)
#8 3.619 Downloading django-6.1-py3-none-any.whl (8.4 MB)
#8 4.059    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.4/8.4 MB 19.7 MB/s  0:00:00
#8 4.070 Downloading uvicorn-0.52.3-py3-none-any.whl (79 kB)
#8 4.080 Downloading asyncpg-0.30.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)
#8 4.115    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.6/3.6 MB 105.7 MB/s  0:00:00
#8 4.125 Downloading redis-5.2.1-py3-none-any.whl (261 kB)
#8 4.137 Downloading asgiref-3.12.1-py3-none-any.whl (25 kB)
#8 4.147 Downloading click-8.5.0-py3-none-any.whl (125 kB)
#8 4.157 Downloading h11-0.16.0-py3-none-any.whl (37 kB)
#8 4.168 Downloading httptools-0.8.0-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (486 kB)
#8 4.182 Downloading python_dotenv-1.2.3-py3-none-any.whl (22 kB)
#8 4.193 Downloading pyyaml-6.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (801 kB)
#8 4.200    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 801.6/801.6 kB 116.5 MB/s  0:00:00
#8 4.210 Downloading sqlparse-0.6.0-py3-none-any.whl (50 kB)
#8 4.221 Downloading uvloop-0.22.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (4.4 MB)
#8 4.262    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.4/4.4 MB 105.1 MB/s  0:00:00
#8 4.273 Downloading watchfiles-1.2.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (454 kB)
#8 4.286 Downloading anyio-4.14.2-py3-none-any.whl (125 kB)
#8 4.297 Downloading idna-3.19-py3-none-any.whl (68 kB)
#8 4.307 Downloading websockets-17.1-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (224 kB)
#8 4.491 Installing collected packages: websockets, uvloop, sqlparse, redis, pyyaml, python-dotenv, idna, httptools, h11, click, asyncpg, asgiref, uvicorn, Django, anyio, watchfiles
#8 6.881 
#8 6.883 Successfully installed Django-6.1 anyio-4.14.2 asgiref-3.12.1 asyncpg-0.30.0 click-8.5.0 h11-0.16.0 httptools-0.8.0 idna-3.19 python-dotenv-1.2.3 pyyaml-6.0.3 redis-5.2.1 sqlparse-0.6.0 uvicorn-0.52.3 uvloop-0.22.1 watchfiles-1.2.0 websockets-17.1
#8 6.883 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
#8 DONE 7.1s

#9 [5/5] COPY . .
#9 DONE 0.2s

#10 exporting to image
#10 exporting layers
#10 exporting layers 2.9s done
#10 exporting manifest sha256:a1f98b67bfd02a752f085b569ce6f697d11a09e8d64d473ffb827d9fff117e3a 0.0s done
#10 exporting config sha256:c985cc9e3e2494ba269e663f16fdafdaf84f394284d40d89fbb549037c0f72ae 0.0s done
#10 exporting attestation manifest sha256:20e3049f52bfb27f2980b4275d0ac91a065f52f48c7830ec988498cefddbcae5 0.1s done
#10 exporting manifest list sha256:29d8491f5c4743d0d0c1731941a9a23e54c3085de2e9ef794a0b854e7c27c676
#10 exporting manifest list sha256:29d8491f5c4743d0d0c1731941a9a23e54c3085de2e9ef794a0b854e7c27c676 0.0s done
#10 naming to docker.io/library/httparena-django:latest done
#10 unpacking to docker.io/library/httparena-django:latest
#10 unpacking to docker.io/library/httparena-django:latest 1.8s done
#10 DONE 4.9s
[info] zrk: docker mode (zrk:local)
[info] tuning host for benchmark runs
[info] CPU governor → performance
[info] setting kernel socket limits
[info] setting UDP buffer sizes for QUIC
[info] setting loopback MTU to 1500 (realistic Ethernet)
[info] restarting docker daemon
[info] dropping kernel caches
[info] starting postgres sidecar
[info] postgres ready (seeded)

==============================================
=== django / fortunes / 1024c (tool=gcannon) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
gcannon v0.5.3
  Target:    localhost:8080/fortunes
  Threads:   64
  Conns:     1024 (16/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  5s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   139.50ms   102.20ms   291.40ms   394.80ms   490.80ms

  36186 requests in 5.00s, 36186 responses
  Throughput: 7.23K req/s
  Bandwidth:  131.12MB/s
  Status codes: 2xx=27276, 3xx=0, 4xx=0, 5xx=8910
  Latency samples: 36186 / 36186 responses (100.0%)

  WARNING: 8910/36186 responses (24.6%) had unexpected status (expected 2xx)
[info] CPU 5211.8% | Mem 5.2GiB

[run 2/3]
gcannon v0.5.3
  Target:    localhost:8080/fortunes
  Threads:   64
  Conns:     1024 (16/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  5s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   139.17ms   90.10ms   303.40ms   412.20ms   535.60ms

  36157 requests in 5.00s, 36157 responses
  Throughput: 7.23K req/s
  Bandwidth:  132.21MB/s
  Status codes: 2xx=27503, 3xx=0, 4xx=0, 5xx=8654
  Latency samples: 36157 / 36157 responses (100.0%)

  WARNING: 8654/36157 responses (23.9%) had unexpected status (expected 2xx)
[info] CPU 5117.8% | Mem 5.4GiB

[run 3/3]
gcannon v0.5.3
  Target:    localhost:8080/fortunes
  Threads:   64
  Conns:     1024 (16/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  5s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   127.00ms   65.70ms   302.30ms   408.30ms    2.27s

  36156 requests in 5.00s, 36156 responses
  Throughput: 7.23K req/s
  Bandwidth:  131.52MB/s
  Status codes: 2xx=27353, 3xx=0, 4xx=0, 5xx=8803
  Latency samples: 36156 / 36156 responses (100.0%)

  WARNING: 8803/36156 responses (24.3%) had unexpected status (expected 2xx)
[info] CPU 5117.9% | Mem 5.4GiB

=== Best: 5500 req/s (CPU: 5117.8%, Mem: 5.4GiB) ===
[info] saved results/fortunes/1024/django.json
httparena-bench-django
httparena-bench-django
[info] rebuilding site/data/*.json
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/frameworks.json
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/results/django.json - 1 new, 11 total
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/current.json
[info] done
httparena-postgres
[info] restoring loopback MTU to 65536