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https://github.com/lxsang/antd-web-apps
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fix
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parent
f32ccc8766
commit
30ff1d60fb
40
blog/api.lua
40
blog/api.lua
@ -88,5 +88,43 @@ get.bytag = function(user, b64tag, limit, action, id)
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return data, sort
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end
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return get
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get.analyse = function(user)
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local path = "/home/mrsang/aiws/blog-clustering"
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local gettext = loadfile(path.."/gettext.lua")()
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local cluster = loadfile(path.."/cluster.lua")()
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local data = gettext.get({publish=1})
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local documents = {}
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if data then
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local sw = gettext.stopwords(path.."/stopwords.txt")
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for k,v in pairs(data) do
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local bag = cluster.bow(data[k].content, sw)
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documents[data[k].id] = bag
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end
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cluster.tfidf(documents)
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--local v = cluster.search("arm", documents)
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--echo(JSON.encode(v))
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local vectors, maxv, size = cluster.get_vectors(documents)
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local sample_data = {pid = 1, sid = 2, score = 0.1}
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local db = require("db.model").get(user, "st_similarity", sample_data)
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if db then
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-- purge the table
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db:delete({["="] = {["1"] = 1}})
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-- get similarity and put to the table
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for id,v in pairs(vectors) do
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local top = cluster.top_similarity(id,vectors,3)
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for a,b in pairs(top) do
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local record = {pid = id, sid = a, score = b}
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db:insert(record)
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end
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end
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db:close()
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return "<h3>Analyse complete</h3>"
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else
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return "<h3>Cannot get database objectw/h3>"
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end
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else
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return "<h3>Cannot find data to analyse</h3>"
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end
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end
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return get
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@ -19,6 +19,8 @@ view.render = function(action, data, sort, min, max)
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fn, e = loadscript(path.."/detail.ls")
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--echo(data[0].rendered)
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--fn = require("blog.view.compiledd")
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elseif action == "analyse" then
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fn, e = loadscript(path.."/analyse.ls")
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else
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--fn = require("blog.view.compiledd")
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