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https://github.com/lxsang/antd-web-apps
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blog now use silk
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167
blog/controllers/PostController.lua
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167
blog/controllers/PostController.lua
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BaseController:subclass(
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"PostController",
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{
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registry = {},
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models = {"blog", "analytical"}
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}
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)
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function PostController:index(...)
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return self:top(table.unpack({...}))
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end
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function PostController:top(limit)
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limit = limit or POST_LIMIT
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local data, order = self.blog:fetch(nil, limit)
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if not data or #order == 0 then
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return self:notfound("No entry found")
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end
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self:list(data, order)
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return true
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end
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function PostController:afterof(id, limit)
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limit = limit or POST_LIMIT
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local data, order = self.blog:fetch({[">"] = {id = id}}, limit, {ctime = "ASC"})
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if not data or #order == 0 then
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return self:notfound("No entry found")
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end
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table.sort(
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order,
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function(a, b)
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return a > b
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end
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)
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self:list(data, order)
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return true
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end
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function PostController:beforeof(id, limit)
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limit = limit or POST_LIMIT
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local data, order = self.blog:fetch({["<"] = {id = id}}, limit)
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if not data or #order == 0 then
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return self:notfound("No entry found")
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end
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self:list(data, order)
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return true
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end
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-- this is a private function, should not be called by user
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function PostController:list(data, order)
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self.template:setView("posts")
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self.template:set("posts", data)
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self.template:set("order", order)
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self.template:set("title", "Blog Home")
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self.template:set("minid", self.blog:minid())
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self.template:set("maxid", self.blog:maxid())
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return false
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end
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function PostController:bytag(b64tag, limit, action, id)
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local tag = bytes.__tostring(std.b64decode(b64tag .. "=="))
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local cond = {["LIKE"] = {tags = "%%" .. tag .. "%%"}}
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local order = nil
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limit = limit or POST_LIMIT
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if action == "before" then
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cond = {["and"] = {cond, {["<"] = {id = id}}}}
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elseif action == "after" then
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cond = {["and"] = {cond, {[">"] = {id = id}}}}
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order = {ctime = "ASC"}
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end
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local data, sort = self.blog:fetch(cond, limit, order)
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if not data or #sort == 0 then
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return self:notfound("No entry found")
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end
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if (action == "after") then
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table.sort(
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sort,
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function(a, b)
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return a > b
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end
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)
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end
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self.template:set("query", b64tag)
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self.template:set("action", "bytag")
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self:list(data, sort)
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return true
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end
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function PostController:id(pid)
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local data, order = self.blog:fetch({["="] = {id = pid}})
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if not data or #order == 0 then
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return self:notfound("No post found")
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end
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data = data[1]
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data.rendered = bytes.__tostring(std.b64decode(data.rendered)):gsub("%%", "%%%%")
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local a, b = data.rendered:find("<[Hh]1[^>]*>")
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if a then
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local c, d = data.rendered:find("</[Hh]1>")
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if c then
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self.template:set("title", data.rendered:sub(b + 1, c - 1))
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end
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end
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-- get similarity post
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local st_records = self.analytical:similarof(data.id)
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local similar_posts = {}
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for k, v in pairs(st_records) do
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similar_posts[k] = {st = v, post = self.blog:get(v.sid)}
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end
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self.template:set("post", data)
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self.template:set("similar_posts", similar_posts)
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self.template:set("render", true)
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self.template:set("tags", data.tags)
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self.template:set("url", HTTP_ROOT .. "/post/id/" .. pid)
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self.template:setView("detail")
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return true
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end
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function PostController:notfound(...)
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local args = {...}
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self.template:set("title", "404 not found")
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self.template:set("error", args[1])
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self.template:setView("notfound")
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return true
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end
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function PostController:actionnotfound(...)
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local args = {...}
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return self:notfound("Action [" .. args[1] .. "] not found")
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end
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function PostController:analyse(n)
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if not n then
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n = 5
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end
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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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-- purge the table
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self.analytical: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, n)
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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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self.analytical:create(record)
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end
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end
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self.template:set(message, "Analyse complete")
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else
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self.template:set(message, "Cannotto analyse")
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end
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return true
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end
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