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Project description
tilebench
Inspect HEAD/LIST/GET requests withing Rasterio.
Note: In GDAL 3.2, logging capabilities for /vsicurl, /vsis3 and the like was added (ref: https://github.com/OSGeo/gdal/pull/2742).
API
from tilebench import profile
import rasterio
@profile()
def info(src_path: str):
with rasterio.open(src_path) as src_dst:
return src_dst.meta
meta = info("https://sentinel-cogs.s3.us-west-2.amazonaws.com/sentinel-s2-l2a-cogs/2020/S2A_34SGA_20200318_0_L2A/B05.tif")
> 2020-07-13T16:59:05.685976-0400 | TILEBENCH | {"LIST": {"count": 0}, "HEAD": {"count": 1}, "GET": {"count": 1, "bytes": 16384, "ranges": ["0-16383"]}, "Timing": 0.8030309677124023}
from tilebench import profile
from rio_tiler.io import cogeo as COGReader
@profile()
def _read_tile(src_path: str, x: int, y: int, z: int, tilesize: int = 256):
with COGReader(src_path) as cog:
return cog.tile(x, y, z, tilesize=tilesize)
data, mask = _read_tile(
"https://sentinel-cogs.s3.us-west-2.amazonaws.com/sentinel-s2-l2a-cogs/2020/S2A_34SGA_20200318_0_L2A/B05.tif",
2314,
1667,
12,
)
> 2020-07-13T16:59:42.654071-0400 | TILEBENCH | {"LIST": {"count": 0}, "HEAD": {"count": 1}, "GET": {"count": 3, "bytes": 1464479, "ranges": ["0-16383", "33328080-34028784", "36669144-37416533"]}, "Timing": 3.007672071456909}
Starlette Middleware
In addition of the viz
CLI we added a starlette middleware to easily integrate VSI statistics in your web services.
from fastapi import FastAPI
from tilebench.middleware import VSIStatsMiddleware
app = FastAPI()
app.add_middleware(VSIStatsMiddleware)
The middleware will add a vsi-stats
entrie in the response headers in form of:
vsi-stats: list;count=1, head;count=1, get;count=2;size=196608, ranges; values=0-65535|65536-196607
Command Line Interface (CLI)
$ tilebench --help
Usage: tilebench [OPTIONS] COMMAND [ARGS]...
Command line interface for the tilebench Python package.
Options:
--help Show this message and exit.
Commands:
get-zooms Get Mercator Zoom levels.
profile Profile COGReader Mercator Tile read.
random Get random tile.
viz WEB UI to visualize VSI statistics for a web mercator tile request
Examples
$ tilebench get-zooms https://sentinel-cogs.s3.us-west-2.amazonaws.com/sentinel-s2-l2a-cogs/2020/S2A_34SGA_20200318_0_L2A/B05.tif | jq
{
"minzoom": 7,
"maxzoom": 12
}
$ tilebench random https://sentinel-cogs.s3.us-west-2.amazonaws.com/sentinel-s2-l2a-cogs/2020/S2A_34SGA_20200318_0_L2A/B05.tif --zoom 12
12-2314-1667
$ tilebench profile https://sentinel-cogs.s3.us-west-2.amazonaws.com/sentinel-s2-l2a-cogs/2020/S2A_34SGA_20200318_0_L2A/B05.tif 12-2314-1667 --config GDAL_DISABLE_READDIR_ON_OPEN=EMPTY_DIR | jq
{
"LIST": {
"count": 0
},
"HEAD": {
"count": 1
},
"GET": {
"count": 3,
"bytes": 1464479,
"ranges": [
"0-16383",
"33328080-34028784",
"36669144-37416533"
]
},
"Timing": 2.377608060836792
}
$ tilebench profile https://sentinel-cogs.s3.us-west-2.amazonaws.com/sentinel-s2-l2a-cogs/2020/S2A_34SGA_20200318_0_L2A/B05.tif 12-2314-1667 --config GDAL_DISABLE_READDIR_ON_OPEN=FALSE | jq
{
"LIST": {
"count": 1
},
"HEAD": {
"count": 8
},
"GET": {
"count": 11,
"bytes": 1464479,
"ranges": [
"0-16383",
"33328080-34028784",
"36669144-37416533"
]
},
"Timing": 7.09281587600708
}
GDAL config options
- GDAL_DISABLE_READDIR_ON_OPEN
- GDAL_INGESTED_BYTES_AT_OPEN
- CPL_VSIL_CURL_ALLOWED_EXTENSIONS
- GDAL_CACHEMAX,
- GDAL_HTTP_MERGE_CONSECUTIVE_RANGES
- VSI_CACHE
- VSI_CACHE_SIZE ...
See the full list at https://gdal.org/user/configoptions.html
Internal tiles Vs Mercator grid
$ tilebench viz https://sentinel-cogs.s3.us-west-2.amazonaws.com/sentinel-s2-l2a-cogs/2020/S2A_34SGA_20200318_0_L2A/B05.tif --config GDAL_DISABLE_READDIR_ON_OPEN=EMPTY_DIR
Blue lines represent the mercator grid for a specific zoom level and the red lines represent the internal tiles bounds
We can then click on a mercator tile and see how much requests GDAL/RASTERIO does.
Contribution & Development
Issues and pull requests are more than welcome.
dev install
$ git clone https://github.com/developmentseed/tilebench.git
$ cd tilebench
$ pip install -e .[dev]
Python >=3.7 only
This repo is set to use pre-commit
to run isort, flake8, pydocstring, black ("uncompromising Python code formatter") and mypy when committing new code.
$ pre-commit install
$ git add .
$ git commit -m'my change'
isort....................................................................Passed
black....................................................................Passed
Flake8...................................................................Passed
Verifying PEP257 Compliance..............................................Passed
mypy.....................................................................Passed
$ git push origin
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