You can now import zim files into YaCy by simply moving them
to the DATA/SURROGATE/IN folder. They will be fetched and after
parsing moved to DATA/SURROGATE/OUT.
There are exceptions where the parser is not able to identify the
original URL of the documents in the zim file. In that case the file
is simply ignored.
This commit also carries an important fix to the pdf parser and an
increase of the maximum parsing speed to 60000 PPM which should make it
possible to index up to 1000 files in one second.
This library was not prepared for large data because it was missing long
data types for pointers. I had to modify the code-base in a fundamental
way:
- Proof-Reading,
- unclustering,
- refactoring,
- naming adoption to https://wiki.openzim.org/wiki/ZIM_file_format,
- change of Exception handling,
- extension to more attributes as defined in spec (bugfix for mime type
loading)
- bugfix to long parsing (prevented reading of large files)
The code is furthermore very inefficient and requires more attention.
However the format is very useful for YaCy as there are numerous data
sources for ZIM-Files.
the raw format reader files with no integration in YaCy yet, which will
maybe follow as a next step. The zim file format is documented in
https://openzim.org and the reader code was taken from the archived,
non-maintained repository at https://github.com/openzim/zimreader-java
because we now start YaCy with a default password (yacy).
This has impact of all function that check the current state of
password-protection that included the empty password situation,
including the warnings to set a password in case that none is set (which
cannot be the case any more).
We still need to set the load in the process because a demand for higher
crawl speed may require to increase the maximum load limit. However,
following the criticism in the bug, we do never reduce the load limit
again.
Michael Peter Christen