D-arth

-----Alread Load: /workspace/osm-2017-07-03-v3.6.1-china_beijing.mbtiles
-------------------------------- DEFINE DONE -------------------------------



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---------------------------------- Step II ---------------------------------
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-----Set Default Layer | building | : <osgeo.ogr.Layer; proxy of <Swig Object of type 'OGRLayerShadow *' at 0x7fed250f3930> >

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--------------------------------- Step III ---------------------------------
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===== imagery dir : DataSet/images/
===== targets dir : DataSet/targets/
Getting bucket metadata

storageClass: STANDARD
accessContorlAllowOrigin: None
accessContorlMaxAge: None
accessContorlExposeHeaders: None
accessContorlAllowMethods: None
accessContorlAllowHeaders: None
Deleting bucket CORS

status204
===== Bucket imagery root : DataSets/DataSet/images/
===== Bucket Targets root : DataSets/DataSet/targets/
===== Bucket Description root : DataSets/DataSet/
===== Base Folder DataSets
===== list (DataSets):
===== object count : 1000
|--- : DataSets/ etag["d41d8cd98f00b204e9800998ecf8427e"]
|--- : DataSets/Building_Beijing_14/.meta etag["f802f58e7d89c2cad4f9d42d54a805e7"]
|--- : DataSets/Building_Beijing_14/Google China-Wed Jun 10 17:44:24 2020-(116.3, 39.9, 116.6, 39.7)-14.json etag["f5d4d06dde3c263cc7c08dd203e9ea86"]
|--- : DataSets/Building_Beijing_14/images/Google China-13484-6208-14.tif etag["62724a9ee3e6a089e4a8974e0aa2b115"]
|--- : DataSets/Building_Beijing_14/images/Google China-13484-6209-14.tif etag["1712a0eee45ef4aa0460b55918cbbd6b"]
|--- : DataSets/Building_Beijing_14/images/Google China-13484-6210-14.tif etag["4c3023113719fa50192bd379de31d843"]
|--- : DataSets/Building_Beijing_14/images/Google China-13484-6211-14.tif etag["59cb243b1932909164dafdeeb87eb29d"]
|--- : DataSets/Building_Beijing_14/images/Google China-13484-6212-14.tif etag["0e239caf1796f5b71245c50de3d2b535"]
|--- : DataSets/Building_Beijing_14/images/Google China-13484-6213-14.tif etag["df9e7aeb65eb9c559e52f7b7565a0c96"]
|--- : DataSets/Building_Beijing_14/images/Google China-13484-6214-14.tif etag["c4620def4d0157802b77acf59e0a4061"]
===== Start Downloading.....
100%|█████████████████████████████████████████████████████████████████████████████████| 35/35 [00:00<00:00, 15.94it/s] ===== Decode Downloading...
100%|█████████████████████████████████████████████████████████████████████████████| 35/35 [00:00<00:00, 139411.81it/s]
------------------------------- Download Done ------------------------------ | 0/35 [00:00<?, ?it/s]

===== Save description done DataSet/Google China-Tue Jun 30 11:15:39 2020-(116.5, 39.9, 116.6, 39.8)-14.json
100%|█████████████████████████████████████████████████████████████████████████████████| 35/35 [00:00<00:00, 38.12it/s]
===== Start Generate.....
100%|█████████████████████████████████████████████████████████████████████████████████| 35/35 [00:03<00:00, 11.54it/s]



----------------------------------------------------------------------------
---------------------------------- Step IV ---------------------------------
----------------------------------------------------------------------------
===== Upload dataset meta DataSets/DataSet/.meta
===== Upload dataset description DataSets/DataSet/Google China-Tue Jun 30 11:15:39 2020-(116.5, 39.9, 116.6, 39.8)-14.json
===== upload imagry to bucket.....
100%|█████████████████████████████████████████████████████████████████████████████████| 35/35 [00:01<00:00, 25.76it/s]
===== upload target to bucket.....
100%|█████████████████████████████████████████████████████████████████████████████████| 35/35 [00:00<00:00, 36.51it/s]
===== uploaded bucket:
===== list (DataSets):
===== object count : 1000
|--- : DataSets/ etag["d41d8cd98f00b204e9800998ecf8427e"]
|--- : DataSets/Building_Beijing_14/.meta etag["f802f58e7d89c2cad4f9d42d54a805e7"]
|--- : DataSets/Building_Beijing_14/Google China-Wed Jun 10 17:44:24 2020-(116.3, 39.9, 116.6, 39.7)-14.json etag["f5d4d06dde3c263cc7c08dd203e9ea86"]
|--- : DataSets/Building_Beijing_14/images/Google China-13484-6208-14.tif etag["62724a9ee3e6a089e4a8974e0aa2b115"]
|--- : DataSets/Building_Beijing_14/images/Google China-13484-6209-14.tif etag["1712a0eee45ef4aa0460b55918cbbd6b"]
|--- : DataSets/Building_Beijing_14/images/Google China-13484-6210-14.tif etag["4c3023113719fa50192bd379de31d843"]
|--- : DataSets/Building_Beijing_14/images/Google China-13484-6211-14.tif etag["59cb243b1932909164dafdeeb87eb29d"]
|--- : DataSets/Building_Beijing_14/images/Google China-13484-6212-14.tif etag["0e239caf1796f5b71245c50de3d2b535"]
|--- : DataSets/Building_Beijing_14/images/Google China-13484-6213-14.tif etag["df9e7aeb65eb9c559e52f7b7565a0c96"]
|--- : DataSets/Building_Beijing_14/images/Google China-13484-6214-14.tif etag["c4620def4d0157802b77acf59e0a4061"]
----------------------------------------------------------------------------
DataSet process done
----------------------------------------------------------------------------



the process function work good !

-----Total tiles number：8 X 7
-----Url Queue size: 56
>>> Bing.download()
95%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 53/56 [00:02<00:00, 16.80it/s] ===== Decode Downloading...
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 56/56 [00:00<00:00, 513962.85it/s]
------------------------------- Download Done ------------------------------ | 0/56 [00:00<?, ?it/s]

===== Save description done Bing VirtualEarth-Mon Apr 18 05:16:52 2022-(116.3, 39.9, 116.6, 39.7)-13.json
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 56/56 [00:02<00:00, 22.13it/s]
>>>

-----description : Extract from https://openmaptiles.org #
-----maxzoom : 14
-----minzoom : 0
-----name : OpenMapTiles
-----pixel_scale : 256
-----mtime : 1499626373833
-----format : pbf
-----id : openmaptiles

-----planettime : 1499040000000
-----basename : china_beijing.mbtiles
----------------------------- Meta Information -----------------------------

-----Description : /workspace/osm-2017-07-03-v3.6.1-china_beijing.mbtiles
-----LayerCount: 15
-----Layer : 0 LayerName : water
-----Layer : 1 LayerName : waterway
-----Layer : 2 LayerName : landcover
-----Layer : 3 LayerName : landuse
-----Layer : 4 LayerName : mountain_peak
-----Layer : 5 LayerName : park
-----Layer : 6 LayerName : boundary
-----Layer : 7 LayerName : aeroway
-----Layer : 8 LayerName : transportation
-----Layer : 9 LayerName : building
-----Layer : 10 LayerName : water_name
-----Layer : 11 LayerName : transportation_name
-----Layer : 12 LayerName : place
-----Layer : 13 LayerName : housenumber
-----Layer : 14 LayerName : poi