2019-02-25 13:42:00 +00:00
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Wikipedia Link Graph Analyzer
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*****************************
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.. contents::
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Configuration
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=============
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Configuration is done in the file ``cfg.py``. There one can
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specify whether the system should use a sqlite or a mysql
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backend. Using the sqlite backend is faster for fetching the
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data because sqlite omits implicit keys. However when one
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wants to analyze the data using SQL instead of the pure
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python implementation mysql is faster.
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It is recommended to use sqlite for fetching the data, then
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transferring it to a mysql database and use this database
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for analyzing.
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The main options in ``cfg.py`` are whether to use mysql or
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sqlite and options for those systems.
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Invocation
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==========
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Before invocating the program one should make sure that the
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`configuration`_ is correct, in particular whether the cache
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directory and cache name are set correctly for sqlite and
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the mysql connection information is correct.
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Then one must edit the name of the article to analyze around
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and the depth to receive the links. After this is done the
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link graph can be received (using ``python3 main.py``).
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2019-02-25 13:43:15 +00:00
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One can specify the language to use using a language
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abbreviation in ``receive_link_graph``.
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2019-02-25 13:42:00 +00:00
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It might be necessary to run this part several times if the
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program was unable to fetch all links. One can check for
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unreceived data by executing ``SELECT COUNT(*) FROM
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failed_to_fetch``. The result should be 0.
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Then the script uses Dijkstra's Algorithm in width-first
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mode to analyze the graph. By default this is done
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in-memory, it is however possible to do it with SQL. Using
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SQL is recommended only, if the data exceeds the RAM, as it
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is way slower.
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