14个版本
| 0.3.0 | 2021年10月16日 |
|---|---|
| 0.2.9 | 2021年10月14日 |
| 0.2.6 |
|
| 0.1.11 | 2021年9月3日 |
#372 in 测试
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我记忆着（我没有权利说出这个神圣的动词，只有一个人在地球上拥有这个权利，而那个人已经死了）手持一个黑暗的热情者，看着她，就像没有人看到过她一样，尽管我从日落到夜晚一直看着她，那是一生。
豪尔赫·路易斯·博尔赫斯 - 记忆的Funes
Funes
funes是一个模拟HTTP响应的服务器。您可以使用它来
- 测试应用程序而无需访问生产资源；
- 为您的应用程序创建集成测试；
安装
要安装funes，您必须已安装rust和cargo。然后您可以运行
cargo install funes
用法
现在您可以在一个终端中运行您的funes服务器，并在另一个终端中发出请求
# terminal 1
funes
ENVS: Envs {
allow_externals: true,
h_server: "funes",
h_user_agent: "funes",
latency_collection: "",
latency_enable: false,
localhost: "0.0.0.0:8080",
log: "funes,actix_web=info",
mock_dir: "/Users/rodolfo.moi/.funes"
},
FUNES_LATENCY_COLLECTION: Collection {
regex: ".+",
latencies: {}
}
要模拟{api}的请求，调用端点https://127.0.0.1:8080/{api}。第一个请求将击中{api}并存储响应
# terminal 2
curl https://127.0.0.1:8080/jsonplaceholder.typicode.com/todos/1
# terminal 1
201 0.125973 GET /jsonplaceholder.typicode.com/todos/1 HTTP/1.1 curl/7.64.1 bytes:66
第二个请求以及所有后续请求都将从存储的响应中提供
# terminal 2
curl https://127.0.0.1:8080/jsonplaceholder.typicode.com/todos/1
# terminal 1
200 0.000330 GET /jsonplaceholder.typicode.com/todos/1 HTTP/1.1 curl/7.64.1 bytes:66
支持帖子
# terminal 2
curl \
-d '{ "userId": 1, "id": 1, "title": "title", "body": "body" }' \
-H "Content-Type: application/json" \
-X POST 0.0.0.0:8080/jsonplaceholder.typicode.com/posts
# terminal 1
201 0.293888 POST /jsonplaceholder.typicode.com/posts HTTP/1.1 curl/7.64.1 bytes:51
端点
这些都是funes应用程序的端点
/{api}- 类似于0.0.0.0:8080/pokeapi.co/api/v2/pokemon/1/mocks- 所有已保存模拟列表/health/resource-status
默认环境
FUNES_ALLOW_EXTERNALS=true
FUNES_APP=funes
FUNES_HOST=0.0.0.0:8080
FUNES_LOG=funes,actix_web=info
FUNES_MOCK_DIR=$HOME/.funes
示例
所有示例都可以在 examples 文件夹中找到
基准测试
Funes 是基于 actix 构建的，速度相当快！看看吧
# https://github.com/giltene/wrk2
wrk2 -t2 -c10 -d60s -R2000 --latency https://127.0.0.1:8080/pokeapi.co/api/v2/pokemon/1
Running 1m test @ https://127.0.0.1:8080/pokeapi.co/api/v2/pokemon/1
2 threads and 10 connections
Thread calibration: mean lat.: 1.449ms, rate sampling interval: 10ms
Thread calibration: mean lat.: 1.469ms, rate sampling interval: 10ms
Thread Stats Avg Stdev Max +/- Stdev
Latency 1.43ms 588.92us 6.26ms 66.00%
Req/Sec 1.05k 146.60 1.67k 73.83%
Latency Distribution (HdrHistogram - Recorded Latency)
50.000% 1.39ms
75.000% 1.83ms
90.000% 2.20ms
99.000% 2.94ms
99.900% 3.58ms
99.990% 4.31ms
99.999% 6.23ms
100.000% 6.26ms
Detailed Percentile spectrum:
Value Percentile TotalCount 1/(1-Percentile)
0.209 0.000000 1 1.00
0.676 0.100000 10025 1.11
0.877 0.200000 20009 1.25
1.065 0.300000 30007 1.43
1.233 0.400000 39993 1.67
1.393 0.500000 50000 2.00
1.474 0.550000 54997 2.22
1.557 0.600000 59988 2.50
1.645 0.650000 64995 2.86
1.735 0.700000 69983 3.33
1.829 0.750000 74984 4.00
1.878 0.775000 77482 4.44
1.929 0.800000 80006 5.00
1.982 0.825000 82477 5.71
2.042 0.850000 84989 6.67
2.113 0.875000 87505 8.00
2.151 0.887500 88721 8.89
2.197 0.900000 89961 10.00
2.249 0.912500 91232 11.43
2.307 0.925000 92483 13.33
2.371 0.937500 93726 16.00
2.407 0.943750 94329 17.78
2.447 0.950000 94972 20.00
2.491 0.956250 95597 22.86
2.537 0.962500 96213 26.67
2.595 0.968750 96846 32.00
2.629 0.971875 97146 35.56
2.665 0.975000 97453 40.00
2.703 0.978125 97764 45.71
2.753 0.981250 98085 53.33
2.809 0.984375 98397 64.00
2.841 0.985938 98556 71.11
2.875 0.987500 98703 80.00
2.919 0.989062 98861 91.43
2.967 0.990625 99017 106.67
3.027 0.992188 99175 128.00
3.057 0.992969 99252 142.22
3.083 0.993750 99326 160.00
3.117 0.994531 99406 182.86
3.157 0.995313 99482 213.33
3.209 0.996094 99561 256.00
3.239 0.996484 99601 284.44
3.271 0.996875 99639 320.00
3.297 0.997266 99677 365.71
3.335 0.997656 99719 426.67
3.375 0.998047 99755 512.00
3.415 0.998242 99775 568.89
3.455 0.998437 99794 640.00
3.499 0.998633 99815 731.43
3.533 0.998828 99833 853.33
3.587 0.999023 99853 1024.00
3.617 0.999121 99863 1137.78
3.645 0.999219 99873 1280.00
3.711 0.999316 99882 1462.86
3.781 0.999414 99892 1706.67
3.835 0.999512 99902 2048.00
3.875 0.999561 99907 2275.56
3.915 0.999609 99911 2560.00
3.933 0.999658 99916 2925.71
3.963 0.999707 99921 3413.33
4.025 0.999756 99926 4096.00
4.107 0.999780 99929 4551.11
4.115 0.999805 99931 5120.00
4.143 0.999829 99933 5851.43
4.191 0.999854 99936 6826.67
4.247 0.999878 99938 8192.00
4.311 0.999890 99940 9102.22
5.243 0.999902 99941 10240.00
5.371 0.999915 99942 11702.86
5.499 0.999927 99943 13653.33
5.551 0.999939 99944 16384.00
5.639 0.999945 99945 18204.44
5.855 0.999951 99946 20480.00
5.855 0.999957 99946 23405.71
5.935 0.999963 99947 27306.67
5.935 0.999969 99947 32768.00
6.107 0.999973 99948 36408.89
6.107 0.999976 99948 40960.00
6.107 0.999979 99948 46811.43
6.227 0.999982 99949 54613.33
6.227 0.999985 99949 65536.00
6.227 0.999986 99949 72817.78
6.227 0.999988 99949 81920.00
6.227 0.999989 99949 93622.86
6.263 0.999991 99950 109226.67
6.263 1.000000 99950 inf
#[Mean = 1.428, StdDeviation = 0.589]
#[Max = 6.260, Total count = 99950]
#[Buckets = 27, SubBuckets = 2048]
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119982 requests in 1.00m, 22.30GB read
Requests/sec: 1999.67
Transfer/sec: 380.54MB
依赖项
~25–41MB
~734K SLoC