5.6 KiB
The entry point for all analysis is ProjectChecker
ProjectChecker
is in charge of two things: Scanning and Analysis
Scanning
For any file or set of files, Psalm needs to determine all the possible dependencies and get their function signatures and constants, so that the analysis phase can be done multithreaded.
Scanning happens in Psalm\Codebase\Scanner
.
The first task is to convert a file into a set of PHP Parser statements. PHP Parser converts PHP code into an abstract syntax tree that Psalm uses for all its analysis.
Deep scanning vs shallow scanning
Psalm then uses a custom PHP Parser NodeVisitor
called DependencyFinderVisitor
which has two modes when scanning a given file: a shallow scan, where it just gets function signatures, return types, constants, and inheritance, or a deep scan, where it drills into every function statement to get those dependencies too (e.g. the class names instantiated by a function). It only does a deep scan on files that it knows will be analysed later (so the vast majority of the vendor directory, for example, just gets a shallow scan).
So, when analysing the src
directory, Psalm will deep scan the following file:
src/A.php
use Vendor\VendorClass;
use Vendor\OtherVendorClass;
class A extends VendorClass {
public function foo(OtherVendorClass $c) : void {}
}
And will also deep scan the file belonging to Vendor\VendorClass
, because it may have to check instantiations of properties at some point.
It will do a shallow scan of Vendor\OtherVendorClass
(and any dependents) because all it cares about are the method signatures and return types of the variable $c
.
Finding files from class names
To figure out the ClassName
=> src/FileName.php
mapping it uses reflection for project files and the Composer classmap for vendor files.
Storing data from scanning
For each file that DependencyFinderVisitor
visits, Psalm creates a FileStorage
instance, along with ClassLikeStorage
and FunctionLikeStorage
instances depending on the file contents.
Once we have a set of all files and their classes and function signatures, we calculate inheritance for everything in the Psalm\Codebase\Populator
class and then move onto analysis.
At the end of the scanning step we have populated all the necessary information in Psalm\Codebase\ClassLikes
, Psalm\Codebase\Functions
and Psalm\Codebase\Methods
classes, and created a complete list of FileStorage
and ClassLikeStorage
objects (in FileStorageProvider
and ClassLikeStorageProvider
respectively) for all classes and files used in our project.
Analysis
We analyse files in FileChecker
The FileChecker
takes a given file and looks for a set of top-level components: classes, traits, interfaces, functions. It can look inside namespaces and extract the classes, interfaces, traits and functions in them as well.
It delegates the analysis of those components to ClassChecker
, InterfaceChecker
and FunctionChecker
.
Because it’s the most basic use case for the line-by-line analysis (no class inheritance to worry about), let’s drill down into FunctionChecker
.
Function Analysis
FunctionChecker::analyze
is defined in FunctionLikeChecker
. That method first gets the FunctionLikeStorage
object for the given function that we created in our scanning step. That FunctionLikeStorage
object has information about function parameters, which we then feed into a Context
object. The Context
contains all the type information we know about variables & properties (stored in Context::$vars_in_scope
) and also a whole bunch of other information that can change depending on assignments and assertions.
Somewhere in FunctionLikeChecker::analyze
we create a new StatementsChecker
and then call its analyze()
method, passing in a set of PhpParser nodes. StatementChecker::analyze
passes off to a number of different checkers (IfChecker
, ForeachChecker
, ExpressionChecker
etc.) for more thorough analysis.
At each line the Context
object may or may not be manipulated. At branching points (if statements, loops, ternary etc) the Context
object is cloned and then, at the end of the branch, Psalm figures out how to resolve the changes and update the uncloned Context
object.
Each PhpParser node is then abused, adding a property called inferredType
which Psalm uses for type analysis.
After all the statements have been analysed we gather up all the return types and compare to the given return type.
Type Reconciliation
While some updates to the Context
object are straightforward, others are not. Updating the Context
object in the light of new type information happens in Reconciler
, which takes an array assertions e.g. [“$a” => “!null”]
and a list of existing type information e.g. $a => string|null
and return a set of updated information e.g. $a => string