I used to have a folder with poorly named papers and books and wanted something to help me handle it. I don't like Mendeley and Zotero and so on, which are heavy and overkill for my needs. I just want to feed a script with PDF files of papers and books, or URLs to PDF files, and I want it to automatically maintain a BibTeX index of these files, to help me cite them and find them back. Then, I want it to give me a way to easily retrieve a file, either by author, by title or with some other search method, and give me the associated bibtex entry.
BiblioManager will always use standard formats such as BibTeX, so that you can easily edit your library, export it and manage it by hand, even if you quit this software for any reason.
* Able to import a PDF / djvu file, automagically find the DOI / ISBN, get the bibtex entry back and add it to the library. If DOI / ISBN search fails, it will prompt you for it.
Should be almost working and usable now, although still to be considered as **experimental**. It can be **broken** at **any commit** and not repaired for a few days. I will update this when I will have a version that I can consider to be “stable”.
**Important note :** I use it for personal use, but I don't read articles from many journals. If you find any file which is not working, please fill an issue or send me an e-mail with the relevant information. There are alternative ways to get the metadata for example, and I didn't know really which one was the best one as writing this code.
Run `./main.py import PATH_TO_FILE [article|book]`. `[article|book]` is an optional argument (article or book) to search only for DOI or ISBN and thus, speed up the import.
It will get automatically the bibtex entry corresponding to the document, and you will be prompted for confirmation. It will then copy the file to your papers dir, renaming it according to the specified mask in `params.py`.
Run `./main.py download URL_TO_PDF [article|book]`, where `[article|book]` (article or book) is again a parameter to specify to search only for DOI or ISBN only, and thus speed up the import. The `URL_TO_PDF` parameter should be a direct link to the PDF file (meaning it should be the link to the pdf page, which may have an authentication portal and not the page with abstract on many publishers websites).
The script will try to download the file with the proxies specified in `params.py` until it manages to get the file, or runs out of available proxies.
It will get automatically the bibtex entry corresponding to the document, and you will be prompted for confirmation. It will then put the file in your papers dir, renaming it according to the specified mask in `params.py`.
### Delete an entry
Run `./main.py delete PARAM` where `PARAM` should be either a path to a paper file, or an ident in the bibtex index. This will remove the corresponding entry in the bibtex index, and will remove the file from your papers dir. Although it will prompt you for confirmation, there's no way to recover your file after deletion, so use with care.
All your documents will be stored in the papers dir specified in `params.py`. All the bibtex entries will be added to the `index.bib` file. You should **not** add entries to this file (but you can edit existing entries without any problem), as this will break synchronization between documents in papers dir and the index. If you do so, you can resync the index file with `./main.py resync`.
The resync option will check that all bibtex entries have a corresponding file and all file have a corresponding bibtex entry. It will prompt you what to do for unmatched entries.
All the source code I wrote is under a `no-alcoohol beer-ware license`. All functions that I didn't write myself are under the original license and their origin is specified in the function itself.
I used the `tearpages.py` script from sciunto, which can be found [here](https://github.com/sciunto/tear-pages) and is released under a GNU GPLv3 license.
