microsoft / microsoft/PlanetaryComputerExamples
radiant-mlhub-landcovernet example failing
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- 主要語言
- Jupyter Notebook
- 星號
- 455
- 分支
- 225
- PR 合併指標
- 30 天內沒有已合併 PR
描述
The landcovernet example at https://github.com/microsoft/PlanetaryComputerExamples/blob/main/tutorials/radiant-mlhub-landcovernet.ipynb is currently failing for me.
>>> collection_id = "ref_landcovernet_v1_labels"
>>> collection = client.get_collection(collection_id)
---------------------------------------------------------------------------
APIError Traceback (most recent call last)
File /srv/conda/envs/notebook/lib/python3.8/site-packages/pystac_client/stac_api_io.py:136, in StacApiIO.request(self, href, method, headers, parameters)
135 if resp.status_code != 200:
--> 136 raise APIError(resp.text)
137 return resp.content.decode("utf-8")
APIError: {"detail":"Collection ref_landcovernet_v1_labels does not exist."}
During handling of the above exception, another exception occurred:
APIError Traceback (most recent call last)
Input In [4], in <cell line: 3>()
1 collection_id = "ref_landcovernet_v1_labels"
----> 3 collection = client.get_collection(collection_id)
4 collection_sci_ext = ScientificExtension.ext(collection)
5 print(f"Description: {collection.description}")
File /srv/conda/envs/notebook/lib/python3.8/site-packages/pystac_client/client.py:92, in Client.get_collection(self, collection_id)
90 if self._stac_io.conforms_to(ConformanceClasses.COLLECTIONS):
91 url = f"{self.get_self_href()}/collections/{collection_id}"
---> 92 collection = CollectionClient.from_dict(self._stac_io.read_json(url), root=self)
93 return collection
94 else:
File /srv/conda/envs/notebook/lib/python3.8/site-packages/pystac/stac_io.py:197, in StacIO.read_json(self, source, *args, **kwargs)
178 def read_json(
179 self, source: Union[str, "Link_Type"], *args: Any, **kwargs: Any
180 ) -> Dict[str, Any]:
181 """Read a dict from the given source.
182
183 See :func:`StacIO.read_text <pystac.StacIO.read_text>` for usage of
(...)
195 given source.
196 """
--> 197 txt = self.read_text(source, *args, **kwargs)
198 return self.json_loads(txt)
File /srv/conda/envs/notebook/lib/python3.8/site-packages/pystac_client/stac_api_io.py:77, in StacApiIO.read_text(self, source, parameters, *args, **kwargs)
75 href = source
76 if bool(urlparse(href).scheme):
---> 77 return self.request(href, *args, parameters=parameters, **kwargs)
78 else:
79 with open(href) as f:
File /srv/conda/envs/notebook/lib/python3.8/site-packages/pystac_client/stac_api_io.py:139, in StacApiIO.request(self, href, method, headers, parameters)
137 return resp.content.decode("utf-8")
138 except Exception as err:
--> 139 raise APIError(str(err))
APIError: {"detail":"Collection ref_landcovernet_v1_labels does not exist."}
cc @KennSmithDS. Do you know if that collection ID was deliberately removed? Is there a good alternative?
貢獻指南
從這裡開始
- 先讀完整個 Issue,再讀專案的貢獻指南。
- 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
- Fork 儲存庫,在一個分支上完成修改。
- 送出 Pull Request,並在描述裡引用這個 Issue 編號。
研究方向
開啟 tutorials/radiant-mlhub-landcovernet.ipynb,並重新執行將 collection_id 設為 ref_landcovernet_v1_labels 且呼叫 client.get_collection 的儲存格。檢查該 collection 是否仍然存在,以及範例是否指出可用的替代項目。collection 查找成功且 notebook 不再於此步驟失敗,即表示完成。
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- jupyter-notebook, python
- 領域
- data, machine-learning
- Issue 類型
- 缺陷
- 難度
- 3/5
- 預估耗時
- 1-2 天
- 活躍度
- 停滯
- 描述清晰度
- 需要釐清
- 新手友好度
- 35/100