gadpytestprofiler 0.0.1
A profiler for benchmarking queries, functions, and I/O/network performance, with pydantic outputs.
Requires Python: >=3.8

<p align="center">
  <a href="https://github.com/AlexDemure/gadpytestprofiler">
    <a href="https://ibb.co/n8cySxCf"><img src="https://i.ibb.co/1JqNxF6K/logo.png" alt="logo" border="0"></a>
  </a>
</p>

<p align="center">
  A profiler for benchmarking queries, functions, and I/O/network performance, with pydantic outputs.
</p>

---

### Installation

```
pip install gadpytestprofiler
```

### Usage

```python
import pytest
import asyncio
import time

from gadpytestprofiler import SqlalchemyProfiler, FunctionProfiler, AsyncFunctionProfiler


def timesleep():
    time.sleep(1)


async def aiotimesleep():
    await asyncio.sleep(1)


@pytest.mark.asyncio
async def test_query_performance(session):
    query = select(Dummy)

    _, results = await SqlalchemyProfiler(session, query, runs=1).analyze()
    print(results.json())

    _, results = FunctionProfiler(timesleep).analyze()
    print(results.json())

    _, results = await AsyncFunctionProfiler(aiotimesleep).analyze()
    print(results.json())
```

SqlalchemyProfiler
```
{
  "query": {
    "sql": {
      "execute": {
        "mean": 0.02488902601180598,
        "median": 0.02488902601180598,
        "stdev": 0,
        "min": 0.02488902601180598,
        "max": 0.02488902601180598
      },
      "fetch": {
        "mean": 0.027863386989338323,
        "median": 0.027863386989338323,
        "stdev": 0,
        "min": 0.027863386989338323,
        "max": 0.027863386989338323
      },
      "scalar": {
        "mean": 0.0004310549993533641,
        "median": 0.0004310549993533641,
        "stdev": 0,
        "min": 0.0004310549993533641,
        "max": 0.0004310549993533641
      }
    },
    "orm": {
      "execute": {
        "mean": 0.8350658340204973,
        "median": 0.8350658340204973,
        "stdev": 0,
        "min": 0.8350658340204973,
        "max": 0.8350658340204973
      },
      "fetch": {
        "mean": 0.05669003300135955,
        "median": 0.05669003300135955,
        "stdev": 0,
        "min": 0.05669003300135955,
        "max": 0.05669003300135955
      },
      "scalar": {
        "mean": 0.0001957119966391474,
        "median": 0.0001957119966391474,
        "stdev": 0,
        "min": 0.0001957119966391474,
        "max": 0.0001957119966391474
      }
    },
    "explains": [
      {
        "plan": {
          "type": "Seq Scan",
          "name": "dummy",
          "alias": "dummy",
          "startup": 0,
          "total": 168.32,
          "plan_rows": 10432,
          "plan_width": 22,
          "actual_rows": 10000,
          "actual_loops": 1,
          "actual_startup_time": 0.004,
          "actual_total_time": 0.564,
          "buffers": null,
          "plans": [],
          "filter": null,
          "index": null,
          "join": null
        },
        "planning": 0.139,
        "execution": 0.827
      }
    ]
  },
  "allocation": {
    "current": 14279120,
    "peak": 15467940
  },
  "execution": {
    "cpu": {
      "time": 27.66541111
    },
    "wall": {
      "time": 6.109025365000001
    },
    "ratio": 4.528612905832975
  },
  "garbage": {
    "collected": 1,
    "uncollectable": 9
  },
  "network": {
    "bytes": {
      "sent": 1210304,
      "received": 5687195
    },
    "packets": {
      "sent": 1375,
      "received": 2179
    }
  },
  "io": {
    "time": {
      "read": 0,
      "write": 162,
      "busy": 17
    },
    "bytes": {
      "read": 0,
      "write": 913408
    }
  }
}
```