psycoy / easyliterature Goto Github PK

2024-03-18 21:19:21,365 - scholarly - INFO - Enabling proxies: http=http://127.0.0.1:10809/ https=http://127.0.0.1:10809/
2024-03-18 21:19:22,633 - scholarly - INFO - Proxy works! IP address: 
2024-03-18 21:19:23,071 - scholarly - INFO - Proxy setup successfully
Proxy setup sucess: True.
2024-03-18 21:19:25,159 - scholarly - INFO - Proxy works! IP address: 
2024-03-18 21:19:25,858 - scholarly - INFO - Proxy works! IP address: 
2024-03-18 21:19:28,435 - scholarly - INFO - Getting https://scholar.google.com/scholar?hl=en&q=A%20lightweight%20network%20for%20photovoltaic%20cell%20defect%20detection%20in%20electroluminescence%20images%20based%20on%20neural%20architecture%20search%20and%20knowledge%20distillation&as_vis=0&as_sdt=0,33
2024-03-18 21:19:32,429 - scholarly - INFO - Exception ConnectError while fetching page: ('[Errno 11001] getaddrinfo failed',)
2024-03-18 21:19:32,430 - scholarly - INFO - Retrying with a new session.
2024-03-18 21:19:36,985 - scholarly - INFO - Exception ConnectError while fetching page: ('[Errno 11001] getaddrinfo failed',)
2024-03-18 21:19:36,985 - scholarly - INFO - Retrying with a new session.

[288](file:///D:/miniconda/envs/research/lib/site-packages/scholarly/_navigator.py:288) def search_publications(self, url: str) -> _SearchScholarIterator:
    [289](file:///D:/miniconda/envs/research/lib/site-packages/scholarly/_navigator.py:289)     """Returns a Publication Generator given a url
    [290](file:///D:/miniconda/envs/research/lib/site-packages/scholarly/_navigator.py:290) 
    [291](file:///D:/miniconda/envs/research/lib/site-packages/scholarly/_navigator.py:291)     :param url: the url where publications can be found.
...
    [188](file:///D:/miniconda/envs/research/lib/site-packages/scholarly/_navigator.py:188)     return self._get_page(pagerequest, True)
    [189](file:///D:/miniconda/envs/research/lib/site-packages/scholarly/_navigator.py:189) else:
--> [190](file:///D:/miniconda/envs/research/lib/site-packages/scholarly/_navigator.py:190)     raise MaxTriesExceededException("Cannot Fetch from Google Scholar.")

C:\Users\Administrator\Desktop\note>easyliter -i "./note.md" -o "./pdfs"
INFO:easyliter:Updating the file ./note.md
INFO:easyliter:Number of files to download -  1
  0%|                                                                                                | 0/1 [00:00<?, ?it/s]INFO:Downloads:ID type: title.
D:\software\Anaconda3\Lib\site-packages\easy_literature\dblp_source.py:19: GuessedAtParserWarning: No parser was explicitly specified, so I'm using the best available HTML parser for this system ("lxml"). This usually isn't a problem, but if you run this code on another system, or in a different virtual environment, it may use a different parser and behave differently.

The code that caused this warning is on line 19 of the file D:\software\Anaconda3\Lib\site-packages\easy_literature\dblp_source.py. To get rid of this warning, pass the additional argument 'features="lxml"' to the BeautifulSoup constructor.

  return BeautifulSoup(resp.content)
INFO:Downloads:The Google scholar bib: {'title': 'Bert: Pre-training of deep bidirectional transformers for language understanding', 'author': 'J Devlin and MW Chang and K Lee and K Toutanova', 'journal': 'arXiv preprint arXiv …', 'year': '2018', 'url': 'https://arxiv.org/abs/1810.04805', 'pdf_link': 'https://arxiv.org/pdf/1810.04805.pdf&usg=ALkJrhhzxlCL6yTht2BRmH9atgvKFxHsxQ', 'cited_count': 82010}; The DLBP bib: {'title': 'BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.', 'author': 'Jacob Devlin and Ming-Wei Chang and Kenton Lee and Kristina Toutanova', 'journal': 'NAACL-HLT (1)', 'year': '2019', 'url': 'https://doi.org/10.18653/v1/n19-1423', 'pdf_link': None, 'cited_count': None}.
INFO:utils:The paper's arxiv url: https://arxiv.org/abs/1810.04805; The converted arxiv id: 1810.04805; The pdf link: https://arxiv.org/pdf/1810.04805.pdf&usg=ALkJrhhzxlCL6yTht2BRmH9atgvKFxHsxQ.
100%|████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:07<00:00,  7.54s/it]