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The lexer, which is stored in a file called syslog_lexer.mll in the example, is quite short even though it also includes the main executable code within it. You are basically defining only five tokens to handle the kinds of data found in syslog files. { open Syslog_parser } let time = ['0'-'9']['0'-'9']':'['0'-'9']['0'-'9']':'['0'-'9']['0'-'9'] rule tokens = parse [' ' '\t']+ { tokens lexbuf } | (['a'-'z' 'A'-'Z']+[' ']+['0'-'9']+[' ']+time as dt) { DATETIME(dt) } | ':' { COLON } | [^ ' ' '\t' '\n']+ { WORD(Lexing.lexeme lexbuf) } | '\n' { EOL } | eof { EOF } { let tostring (n, m, l, k) = Printf.printf "%s|%s|%s|%s\n" n m l k;; let _ = let ichan = open_in "messages" in let lb = Lexing.from_channel ichan in try let p = Syslog_parser.main tokens lb in match p with [] -> close_in ichan

The paths for ps2pdf and html2ps vary depending on your operating system. Next, you create the Active Record models that represent the tables you re using:

| h :: t -> close_in ichan;tostring h with Parsing.Parse_error -> Printf.printf "Between location %i and %i near '%s'" (Lexing.lexeme_start lb) (Lexing.lexeme_end lb) (Lexing.lexeme lb); close_in ichan; exit(1) | Failure(x) -> Printf.printf "Between location %i and %i near '%s'" (Lexing.lexeme_start lb) (Lexing.lexeme_end lb) (Lexing.lexeme lb); close_in ichan; exit(1)

class User < ActiveRecord::Base has_many :meetings, :foreign_key=>:assigned_user_id def reward Reward.find(:first, :conditions=>['meeting_count < ', self.meetings.count], :order=>'meeting_count DESC', :limit=>1) end end class Meeting < ActiveRecord::Base belongs_to :users, :foreign_key=>:assigned_user_id end class Reward < ActiveRecord::Base end

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We assign this rendered object to the variable objResults and, as you ll see in the next step, we iterate through the object s properties with OOP-like access to the properties: for (var i=0; i < objResults.Results.computer.length; i++) { displaytext += objResults.Results.computer[i].Manufacturer + " " + objResults.Results.computer[i].Model + ": $" + objResults.Results.computer[i].Price + "<br>"; } Not at all a terribly difficult technology to work with, but it can be a powerful tool when used appropriately. JSON has the advantage of being very lightweight versus its XML counterpart. And a JSON parser is, as you ve seen here, simply started with the JavaScript eval() function.

You create the models by deriving from ActiveRecord::Base (as discussed in 1). The User model also has a custom method, reward, which returns a reward object one whose meeting count is lower than the number of meetings a salesperson has. Note, though, that the possible rewards are sorted by a descending meeting_count; in other words, the first reward listed, and thus the reward returned, will be the reward with the highest meeting_count field. Therefore, salespeople will receive the highest reward for which they are eligible. The last model, Reward, refers to the table that you created earlier in this chapter. The first two models refer to two tables defined by SugarCRM: users and meetings. The users table looks like this:

} The parser defined as follows would be saved in a file called syslog_parser.mly (only because other code you have calls this code with that name). %{ let print_error msg lbuf = Printf.eprintf "%s at %i\n" msg (Lexing.lexeme_start_p lbuf).Lexing.pos_cnum let cond_concat x y = match x with "" -> y | _ -> x ^ " " ^ y;; %} %token COLON EOL EOF %token <string> WORD DATETIME %type <(string * string * string * string) list> main %start main %% main: lines EOF { $1 } ; lines: { [] } | lines line { $2 :: $1 } ; line: DATETIME WORD facility COLON message EOL { ($1,$2,$3,$5) } | DATETIME WORD facility EOL { ($1,$2,$3,"") }

Summary

CREATE TABLE `users` ( `id` char(36) NOT NULL, `user_name` varchar(60) default NULL, `user_hash` varchar(32) default NULL, `authenticate_id` varchar(100) default NULL, `sugar_login` tinyint(1) default '1', `first_name` varchar(30) default NULL, `last_name` varchar(30) default NULL, . . . KEY `user_name_idx` (`user_name`) ) ENGINE= MyISAM DEFAULT CHARSET=utf8;

facility: { "" } | facility word { cond_concat $1 $2 } ; message: { "" } | message word { cond_concat $1 $2 } | message COLON { $1 } | message DATETIME { cond_concat $1 $2 } ; word: WORD { $1 } ;

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