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+# Json Parser
+
+**Tier:** 3-Advanced
+
+Json is an essential part of a regular developers workflow and one of the most popular 
+communication formats between systems and web applications. But have you ever asked yourself:
+How is a standard text format .json translated into many different data structures
+(objects in js, arrays in php and data types in haskell)?
+
+The only way to discover this is by digging in the basics of compilers and automata theory.
+
+Requirements:
+
+-   You must have a good knowledge of data structures(trees, tables, tuples) and a good produtivity with one programming language.
+-   You must be familiar with automata theory and formal languages or computing theory.
+
+All the requirements will probably have many courses and tutorials available in your native language, 
+so i recommend you to do an youtube search on the topics above.
+
+## User Stories
+
+### Tokenization
+The first phase of the compiler is the lexical analysis that consists into reading a .json file and add labels to the data.
+Json has the following token types: 
+OpenObjToken | CloseObjToken | IdentifierKeyToken | StringToken | NumberToken | NullToken 
+| OpenArrayToken | CloseArrayToken | BooleanToken | SeparatorToken | Empty --end of file 
+
+-   [ ] Read the inputs and store than in a similar data structure like this: [(OpenObjToken. "{"), (SeparatorToken. ",")]
+
+### Sintatic Analysis
+Sintatic Analysis consist of checking if all the tokens are in the correct place (open object "{" appears first than close object token "}", for example).
+The json rules are described in this free context grammar:
+``A -> [C] | {K} | {} | []
+C -> TEC | T
+K -> "key":TEK | "key":T
+E -> ,
+T -> "str" | 0-9 | 0.0-9.9 | A | true | false | null``
+
+-   [ ] Create sintatic analysis rules and process the tokens list we get in the previous step.
+-   [ ] Create a parse tree following the rules of the free context grammar using the tokens you got previously.
+
+### Semantic analysis
+Semantic analysis is about guaranteeing the actions and meaning of our programs, 
+for example checking if a variable exists before using it or if the value is numeric before multiplying its value.
+In json we dont have these concepts that can generate errors but we have something we have to check in semantic analysis:
+We have to check if a key is declared more than once in the same scope:
+``{ key: "123", key: 123 } --we should print a warning that the key is declared twice 
+{ key: "123", scope: { key: 123 } } --we should not print a warning because the keys are not in the same scopes.``
+
+-   [ ] Process the parse tree and create semantic analysis to warn if a key is duplicated in the same scope
+-   [ ] Create the intermediary representation if necessary or just use the previous parse tree if not.
+
+### Code generation
+The phase of the backend of the compiler generally we compile our programs to binary, 
+but with our json parser we are going to compile then to a .js file with the same name of the .json file
+src/{JSON FILE NAME}.js
+``module.exports = {our processed json exporting as object}``
+
+-   [ ] Read the parse tree or the IR and convert the lines into js code
+-   [ ] Save the file with the same name of the .json file.
+
+## Bonus features
+
+-   [ ] Keep track of collumn and line of the file and inform it in an error message when you get an invalid .json structure
+-   [ ] Separate your errors into Lexical errors and sintatic errors with a label in the beginning of the error like: "[LEXICAL ERROR] error line:3 col:2"
+-   [ ] Wrap it all into a cli or a simple user interface
+-   [ ] Try to add colors to differentiate your errors, success and warning events in the parser
+-   [ ] Using the same parsetree or intermediary representation try to convert to a .yml file instead of a .js object
+
+## Example projects
+
+[My implementation of the json parser](https://github.com/KevinDaSilvaS/sparser-invaders)