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This document was generated from 'src/documentation/wiki-interface.ts' on 2026-06-06, 11:14:26 UTC presenting an overview of flowR's interface (v2.10.7, using R v4.5.0). Please do not edit this file/wiki page directly.

Although far from being as detailed as the in-depth explanation of flowR, this wiki page explains how to interface with flowR in more detail. In general, command line arguments and other options provide short descriptions on hover over.

💻 Using the REPL

Note

To execute arbitrary R commands with a repl request, flowR has to be started explicitly with --r-session-access. Please be aware that this introduces a security risk and note that this relies on the r-shell engine .

Although primarily meant for users to explore, there is nothing which forbids simply calling flowR as a subprocess to use standard-in, -output, and -error for communication (although you can access the REPL using the server as well, with the REPL Request message).

The read-eval-print loop (REPL) works relatively simple. You can submit an expression (using Enter), which is interpreted as an R expression by default but interpreted as a command if it starts with a colon (:). The best command to get started with the REPL is :help. Besides, you can leave the REPL either with the command :quit or by pressing Ctrl+C twice. When writing a command, you may press Tab to get a list of completions, if available. Multiple commands can be entered in a single line by separating them with a semicolon (;), e.g. :parse "x<-2"; :df*. If a command is given without R code, the REPL will re-use R code given in a previous command. The prior example will hence return first the parsed AST of the program and then the dataflow graph for "x <- 2".

Note

If you develop flowR, you may want to launch the repl using the npm run main-dev command, this way, you get a non-minified version of flowR with debug information and hot-reloading of source files.

Available Commands

We currently offer the following commands (this with a [*] suffix are available with and without the star):

Command Description
:quit End the repl (aliases: :q, :exit)
:execute Execute the given code as R code. This requires the --r-session-access flag to be set and requires the r-shell engine. (aliases: :e, :r)
:controlflow[*] Get mermaid code for the control-flow graph of R code, start with 'file://' to indicate a file (star: Returns the URL to mermaid.live) (aliases: :cfg, :cf)
:controlflowbb[*] Get mermaid code for the control-flow graph with basic blocks, start with 'file://' to indicate a file (star: Returns the URL to mermaid.live) (aliases: :cfgb, :cfb)
:dataflow[*] Get mermaid code for the dataflow graph, start with 'file://' to indicate a file (star: Returns the URL to mermaid.live) (aliases: :d, :df)
:normalize[*] Get mermaid code for the normalized AST of R code, start with 'file://' to indicate a file (star: Returns the URL to mermaid.live) (alias: :n)
:dataflowsimple[*] Get mermaid code for the simplified dataflow graph, start with 'file://' to indicate a file (star: Returns the URL to mermaid.live) (aliases: :ds, :dfs)
:dataflowsilent Just calculates the DFG, but only prints summary info (aliases: :d#, :df#)
:parse Prints ASCII Art of the parsed, unmodified AST, start with 'file://' to indicate a file (alias: :p)
:version Prints the version of flowR as well as the current version of R
:query[*] Query the given R code, start with 'file://' to indicate a file. The query is to be a valid query in json format (use 'help' to get more information). (star: Similar to query, but returns the output in json format.)
:dataflowascii Returns an ASCII representation of the dataflow graph (alias: :df!)
:normalize# Returns summarization stats for the normalized AST (alias: :n#)
:help Show help information (aliases: :h, :?)

Tip

As indicated by the examples before, all REPL commands that operate on code keep track of the state. Hence, if you run a command like :dataflow* without providing R code, the REPL will re-use the R code provided in a previous command. Likewise, doing this will benefit from incrementality! If you request the dataflow graph with :df* x <- 2 * y and then want to see the parsed AST with :parse, the REPL will re-use previously obtained information and not re-parse the code again.

Generally, many commands offer shortcut versions in the REPL. Many queries, for example, offer a shortened format (see the example below). Of special note, the Config Query can be used to also modify the currently active configuration of flowR within the REPL (see the wiki page for more information).

Example: Retrieving the Dataflow Graph

To retrieve a URL to the mermaid diagram of the dataflow of a given expression, use :dataflow* (or :dataflow to get the mermaid code in the cli):

$ docker run -it --rm eagleoutice/flowr # or npm run flowr 
flowR repl using flowR v2.10.7, R grammar v14 (tree-sitter engine)
R> :dataflow* y <- 1 + x
Output 
https://mermaid.live/view#base64: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

Retrieve the dataflow graph of the expression y <- 1 + x. It looks like this:

flowchart LR
    1{{"`#91;RNumber#93; 1
      (1)
      *1.6*`"}}
   %% No edges found for 1
    2(["`#91;RSymbol#93; x
      (2)
      *1.10*`"])
   %% No edges found for 2
    3[["`#91;RBinaryOp#93; #43;
      (3)
      *1.6-10*
    (1, 2)`"]]
    built-in:_["`Built-In:
#43;`"]
    style built-in:_ stroke:gray,fill:gray,stroke-width:2px,opacity:.8;
    0["`#91;RSymbol#93; y
      (0, sources: [3])
      *1.1*`"]
    4[["`#91;RBinaryOp#93; #60;#45;
      (4)
      *1.1-10*
    (0, 3)`"]]
    built-in:_-["`Built-In:
#60;#45;`"]
    style built-in:_- stroke:gray,fill:gray,stroke-width:2px,opacity:.8;
    3 -->|"reads, argument"| 1
    3 -->|"reads, argument"| 2
    3 -.->|"reads, calls"| built-in:_
    linkStyle 2 stroke:gray;
    0 -->|"defined-by"| 3
    0 -->|"defined-by"| 4
    4 -->|"reads, argument"| 3
    4 -->|"returns, argument"| 0
    4 -.->|"reads, calls"| built-in:_-
    linkStyle 7 stroke:gray;
Loading
R Code of the Dataflow Graph

The analysis required 0.6 ms (including parse and normalize, using the tree-sitter engine) within the generation environment. We encountered no unknown side effects during the analysis.

y <- 1 + x

For small graphs like this, :dataflowascii also provides an ASCII representation directly in the REPL:

$ docker run -it --rm eagleoutice/flowr # or npm run flowr 
flowR repl using flowR v2.10.7, R grammar v14 (tree-sitter engine)
R> :df! y <- 1 + x
Output 
                        0<1>0
                   ┌────| 1 |
    ┌────────┐     │    0---0
 c<4>c       └──c<3>c
 |<- |  v<0>v┌──| + |
 c---c──| y |┘  c---c   u<2>u
        v---v      └────| x |
                        u---u
Edges:
3 -> 1: reads, argument  3 -> 2: reads, argument
4 -> 3: reads, argument  4 -> 0: returns, argument
0 -> 3: defined-by       0 -> 4: defined-by

Retrieve the dataflow graph of the expression y <- 1 + x as ASCII art.

For the slicing with :slicer, you have access to the same magic comments as with the slice request.

Example: Interfacing with the File System

Many commands that allow for an R-expression (like :dataflow*) allow for a file as well if the argument starts with file://. If you are working from the root directory of the flowR repository, the following gives you the parsed AST of the example file using the :parse command:

$ docker run -it --rm eagleoutice/flowr # or npm run flowr 
flowR repl using flowR v2.10.7, R grammar v14 (tree-sitter engine)
R> :parse file://test/testfiles/example.R
Output 
File: test/testfiles/example.R

program
├ binaryoperator
│ ├ identifier "sum" (1:1─4)
│ ├ <- "<-" (1:5─7)
│ ╰ float "0" (1:8─9)
├ binaryoperator
│ ├ identifier "product" (2:1─8)
│ ├ <- "<-" (2:9─11)
│ ╰ float "1" (2:12─13)
├ binaryoperator
│ ├ identifier "w" (3:1─2)
│ ├ <- "<-" (3:3─5)
│ ╰ float "7" (3:6─7)
├ binaryoperator
│ ├ identifier "N" (4:1─2)
│ ├ <- "<-" (4:3─5)
│ ╰ float "10" (4:6─8)
├ forstatement
│ ├ for "for" (6:1─4)
│ ├ ( "(" (6:5─6)
│ ├ identifier "i" (6:6─7)
│ ├ in "in" (6:8─10)
│ ├ binaryoperator
│ │ ├ float "1" (6:11─12)
│ │ ├ : ":" (6:12─13)
│ │ ╰ parenthesizedexpression
│ │   ├ ( "(" (6:13─14)
│ │   ├ binaryoperator
│ │   │ ├ identifier "N" (6:14─15)
│ │   │ ├ - "-" (6:15─16)
│ │   │ ╰ float "1" (6:16─17)
│ │   ╰ ) ")" (6:17─18)
│ ├ ) ")" (6:18─19)
│ ╰ bracedexpression
│   ├ { "{" (6:20─21)
│   ├ binaryoperator
│   │ ├ identifier "sum" (7:3─6)
│   │ ├ <- "<-" (7:7─9)
│   │ ╰ binaryoperator
│   │   ├ binaryoperator
│   │   │ ├ identifier "sum" (7:10─13)
│   │   │ ├ + "+" (7:14─15)
│   │   │ ╰ identifier "i" (7:16─17)
│   │   ├ + "+" (7:18─19)
│   │   ╰ identifier "w" (7:20─21)
│   ├ binaryoperator
│   │ ├ identifier "product" (8:3─10)
│   │ ├ <- "<-" (8:11─13)
│   │ ╰ binaryoperator
│   │   ├ identifier "product" (8:14─21)
│   │   ├  "" (8:22─23)
│   │   ╰ identifier "i" (8:24─25)
│   ╰ } "}" (9:1─2)
├ call
│ ├ identifier "cat" (11:1─4)
│ ╰ arguments
│   ├ ( "(" (11:4─5)
│   ├ argument
│   │ ╰ string
│   │   ├ " "\"" (11:5─6)
│   │   ├ stringcontent "Sum:" (11:6─10)
│   │   ╰ " "\"" (11:10─11)
│   ├ comma "," (11:11─12)
│   ├ argument
│   │ ╰ identifier "sum" (11:13─16)
│   ├ comma "," (11:16─17)
│   ├ argument
│   │ ╰ string
│   │   ├ " "\"" (11:18─19)
│   │   ├ stringcontent
│   │   │ ╰ escapesequence "\\n" (11:19─21)
│   │   ╰ " "\"" (11:21─22)
│   ╰ ) ")" (11:22─23)
╰ call
  ├ identifier "cat" (12:1─4)
  ╰ arguments
    ├ ( "(" (12:4─5)
    ├ argument
    │ ╰ string
    │   ├ " "\"" (12:5─6)
    │   ├ stringcontent "Product:" (12:6─14)
    │   ╰ " "\"" (12:14─15)
    ├ comma "," (12:15─16)
    ├ argument
    │ ╰ identifier "product" (12:17─24)
    ├ comma "," (12:24─25)
    ├ argument
    │ ╰ string
    │   ├ " "\"" (12:26─27)
    │   ├ stringcontent
    │   │ ╰ escapesequence "\\n" (12:27─29)
    │   ╰ " "\"" (12:29─30)
    ╰ ) ")" (12:30─31)

Retrieve the parsed AST of the example file.

File Content 
sum <- 0
product <- 1
w <- 7
N <- 10

for (i in 1:(N-1)) {
  sum <- sum + i + w
  product <- product * i
}

cat("Sum:", sum, "\n")
cat("Product:", product, "\n")

As flowR directly transforms this AST the output focuses on being human-readable instead of being machine-readable.

Example: Run a Query

You can run any query supported by flowR using the :query command. For example, to obtain the shapes of all data frames in a given piece of code, you can run:

$ docker run -it --rm eagleoutice/flowr # or npm run flowr 
flowR repl using flowR v2.10.7, R grammar v14 (tree-sitter engine)
R> :query @df-shape "x <- data.frame(a = 1:10, b = 1:10)\ny <- x$a"
Output 
Query: df-shape (2 ms)
   ╰ 12: (colnames: [{"a", "b"}, {}], cols: [2, 2], rows: [10, 10])
   ╰ 0: (colnames: [{"a", "b"}, {}], cols: [2, 2], rows: [10, 10])
All queries together required ≈3 ms (1ms accuracy, total 4 ms)

Retrieve the shapes of all data frames in the given code.

To run the linter on a file, you can use (in this example, we just issue the dead-code linter on a small piece of code):

$ docker run -it --rm eagleoutice/flowr # or npm run flowr 
flowR repl using flowR v2.10.7, R grammar v14 (tree-sitter engine)
R> :query @linter rules:dead-code "if(FALSE) x <- 2"
Output 
Query: linter (1 ms)
   ╰ Dead Code (dead-code):
       ╰ certain:
           ╰ Code at 1.11-16
       ╰ Metadata: consideredNodes: 7, searchTimeMs: 0, processTimeMs: 1
All queries together required ≈1 ms (1ms accuracy, total 2 ms)

Run the linter on the given code, with only the dead-code rule enabled.

For more information on the available queries, please check out the Query API.

⚙️ Configuring FlowR

When running flowR, you may want to specify some behaviors with a dedicated configuration file. By default, flowR looks for a file named flowr.json in the current working directory (or any higher directory). You can also specify a different file with --config-file or pass the configuration inline using --config-json. To inspect the current configuration, you can run flowr with the --verbose flag, or use the config Query. Within the REPL this works by running the following:

:query @config

To work with the FlowrConfig you can use the provided helper objects alongside its methods like FlowrConfig::amend. The following summarizes the configuration options:

  • ignoreSourceCalls: If set to true, flowR will ignore source calls when analyzing the code, i.e., ignoring the inclusion of other files.
  • semantics: allows to configure the way flowR handles R, although we currently only support semantics/environment/overwriteBuiltIns. You may use this to overwrite flowR's handling of built-in function and even completely clear the preset definitions shipped with flowR. See Configure BuiltIn Semantics for more information.
  • solver: allows to configure how flowR resolves variables and their values (currently we support: disabled, alias, builtin), as well as if pointer analysis should be active.
  • engines: allows to configure the engines used by flowR to interact with R code. See the Engines wiki page for more information.
  • defaultEngine: allows to specify the default engine to use for interacting with R code. If not set, an arbitrary engine from the specified list will be used.
  • abstractInterpretation: allows to configure how flowR performs abstract interpretation, although we currently only support data frame shape inference through abstract interpretation.
  • defaultPlugins: allows to configure which plugins to load by default when creating a new FlowrAnalyzer instance.
  • repl.plugins: allows to configure which plugins to load in the flowR REPL. Use flowr:default to reference the plugins specified by defaultPlugins.

So you can configure flowR by adding a file like the following:

Example Configuration File 
{
  "ignoreSourceCalls": true,
  "semantics": {
    "environment": {
      "overwriteBuiltIns": {
        "definitions": [
          {
            "type": "function",
            "names": [
              "foo"
            ],
            "processor": "builtin:assign",
            "config": {}
          }
        ]
      }
    }
  },
  "defaultPlugins": [
    "file:description",
    "versions:description"
  ],
  "repl": {
    "quickStats": false,
    "dfProcessorHeat": false,
    "plugins": [
      "flowr:default"
    ]
  },
  "project": {
    "resolveUnknownPathsOnDisk": true
  },
  "engines": [
    {
      "type": "r-shell"
    }
  ],
  "solver": {
    "variables": "alias",
    "evalStrings": true,
    "trackEnvironments": true,
    "resolveSource": {
      "dropPaths": "no",
      "ignoreCapitalization": true,
      "inferWorkingDirectory": "active-script",
      "searchPath": []
    },
    "instrument": {},
    "slicer": {
      "threshold": 50
    }
  },
  "abstractInterpretation": {
    "wideningThreshold": 4,
    "dataFrame": {
      "maxColNames": 20,
      "readLoadedData": {
        "readExternalFiles": true,
        "maxReadLines": 1000000
      }
    }
  }
}
Configure Built-In Semantics

semantics/environment/overwriteBuiltins accepts two keys:

  • loadDefaults (boolean, initially true): If set to true, the default built-in definitions are loaded before applying the custom definitions. Setting this flag to false explicitly disables the loading of the default definitions.

  • definitions (array, initially empty): Allows to overwrite or define new built-in elements. Each object within must have a type which is one of the below. Furthermore, they may define a string array of names which specifies the identifiers to bind the definitions to. You may use assumePrimitive to specify whether flowR should assume that this is a primitive non-library definition (so you probably just do not want to specify the key).

    Type Description Example
    constant Additionally allows for a value this should resolve to. { type: 'constant', names: ['NULL', 'NA'], value: null }
    function Is a rather flexible way to define and bind built-in functions. For the time, we do not have extensive documentation to cover all the cases, so please either consult the sources with the default-builtin-config.ts or open a new issue. { type: 'function', names: ['next'], processor: 'builtin:d', config: { cfg: ExitPointType.Next } }
    replacement A comfortable way to specify replacement functions like $<- or names<-. suffixes describes the... suffixes to attach automatically. { type: 'replacement', suffixes: ['<-', '<<-'], names: ['[', '[['] }
Full Configuration-File Schema
  • The configuration file format for flowR. (object)
    • ignoreSourceCalls [optional] Whether source calls should be ignored, causing {@link processSourceCall}'s behavior to be skipped. (boolean)
    • semantics Configure language semantics and how flowR handles them. (object)
      • environment [optional] Semantics regarding how to handle the R environment. (object)
        • overwriteBuiltIns [optional] Do you want to overwrite (parts) of the builtin definition? (object)
          • loadDefaults [optional] Should the default configuration still be loaded? (boolean)
          • definitions [optional] The definitions to load/overwrite. (array) Valid item types:
            • (object)
    • defaultPlugins [optional] The default plugins to load when creating a new instance of FlowrAnalyzer (array) Valid item types:
      • (alternatives)
        • (string)
        • (array)
    • repl Configuration options for the REPL. (object)
      • quickStats [optional] Whether to show quick stats in the REPL after each evaluation. (boolean)
      • dfProcessorHeat [optional] This instruments the dataflow processors to count how often each processor is called. (boolean)
      • plugins [optional] The plugins to load in REPL mode (array) Valid item types:
        • (alternatives)
          • (string)
          • (array)
    • project Project specific configuration options. (object)
      • resolveUnknownPathsOnDisk [optional] Whether to resolve unknown paths loaded by the r project disk when trying to source/analyze files. (boolean)
    • engines The engine or set of engines to use for interacting with R code. An empty array means all available engines will be used. (array) Valid item types:
      • (alternatives)
        • The configuration for the tree sitter engine. (object)
          • type [required] Use the tree sitter engine. (string) Only allows: 'tree-sitter'
          • wasmPath [optional] The path to the tree-sitter-r WASM binary to use. If this is undefined, this uses the default path. (string)
          • treeSitterWasmPath [optional] The path to the tree-sitter WASM binary to use. If this is undefined, this uses the default path. (string)
          • lax [optional] Whether to use the lax parser for parsing R code (allowing for syntax errors). If this is undefined, the strict parser will be used. (boolean)
        • The configuration for the R shell engine. (object)
          • type [required] Use the R shell engine. (string) Only allows: 'r-shell'
          • rPath [optional] The path to the R executable to use. If this is undefined, this uses the default path. (string)
    • defaultEngine [optional] The default engine to use for interacting with R code. If this is undefined, an arbitrary engine from the specified list will be used. (string) Only allows: 'tree-sitter', 'r-shell'
    • solver How to resolve constants, constraints, cells, ... (object)
      • variables How to resolve variables and their values. (string) Only allows: 'disabled', 'alias', 'builtin'
      • evalStrings Should we include eval(parse(text="...")) calls in the dataflow graph? (boolean)
      • trackEnvironments [optional] Track user-created environments (new.env, assign/get/local with envir=, dollar-assign, attach). When false, all envir-style calls fall through conservatively. (boolean)
      • instrument (object)
        • dataflowExtractors [optional] These keys are only intended for use within code, allowing to instrument the dataflow analyzer! (any)
      • resolveSource [optional] If lax source calls are active, flowR searches for sourced files much more freely, based on the configurations you give it. This option is only in effect if ignoreSourceCalls is set to false. (object)
        • dropPaths Allow to drop the first or all parts of the sourced path, if it is relative. (string) Only allows: 'no', 'once', 'all'
        • ignoreCapitalization Search for filenames matching in the lowercase. (boolean)
        • inferWorkingDirectory Try to infer the working directory from the main or any script to analyze. (string) Only allows: 'no', 'main-script', 'active-script', 'any-script'
        • searchPath Additionally search in these paths. (array) Valid item types:
          • (string)
        • repeatedSourceLimit [optional] How often the same file can be sourced within a single run? Please be aware: in case of cyclic sources this may not reach a fixpoint so give this a sensible limit. (number)
        • applyReplacements Provide name replacements for loaded files (array) Valid item types:
          • (object)
      • slicer [optional] The configuration for the slicer. (object)
        • threshold [optional] The maximum number of iterations to perform on a single function call during slicing. (number)
        • autoExtend [optional] If set, the slicer will gain an additional post-pass. (boolean)
    • abstractInterpretation The configuration options for abstract interpretation. (object)
      • wideningThreshold The threshold for the number of visitations of a node at which widening should be performed to ensure the termination of the fixpoint iteration. (number)
      • dataFrame The configuration of the shape inference for data frames. (object)
        • maxColNames The maximum number of columns names to infer for data frames before over-approximating the column names to top. (number)
        • readLoadedData Configuration options for reading data frame shapes from loaded external data files, such as CSV files. (object)
          • readExternalFiles Whether data frame shapes should be extracted from loaded external files, such as CSV files. (boolean)
          • maxReadLines The maximum number of lines to read when extracting data frame shapes from loaded files, such as CSV files. (number)

⚒️ Writing Code

flowR can be used as a module and offers several main classes and interfaces that are interesting for extension writers (see the Visual Studio Code extension or the Core wiki page for more information).

Creating Analyses with flowR

Nowadays, instances of the FlowrAnalyzer should be used as central frontend to get analysis results from flowR. For example, a program slice can be created like this:

const analyzer = await new FlowrAnalyzerBuilder()
    .setEngine('tree-sitter')
    .build();
analyzer.addRequest('x <- 1\ny <- x\nx');
const result = await analyzer.query([
    {
        type:     'static-slice',
        criteria: ['3@x']
    }
]);
//console.log(result['static-slice']);

For more information, please have a look at the Analyzer wiki page, which explains how to construct and use the FlowrAnalyzer in more detail. To work with specific perspectives, you can also consult the respective pages like the Dataflow Graph or the Abstract Interpretation wiki pages.

The Pipeline Executor (Low-Level Interface)

Once, in the beginning, flowR was meant to produce a dataflow graph merely to provide program slices. However, with continuous updates, the Dataflow Graph repeatedly proves to be the more interesting part. With this, we restructured flowR's originally hardcoded pipeline to be far more flexible. Now, it can be theoretically extended or replaced with arbitrary steps, optional steps, and what we call 'decorations' of these steps. In short, a slicing pipeline using the PipelineExecutor looks like this:

const slicer = new PipelineExecutor(DEFAULT_SLICING_PIPELINE, {
  parser:    new RShell(),
  request:   requestFromInput('x <- 1\nx + 1'),
  criterion: ['2@x']
})
const slice = await slicer.allRemainingSteps()
// console.log(slice.reconstruct.code)
More Information

If you compare this, with what you would have done with the old (and removed) SteppingSlicer, this essentially just requires you to replace the SteppingSlicer with the PipelineExecutor and to pass the DEFAULT_SLICING_PIPELINE as the first argument. The PipelineExecutor...

  1. Provides structures to investigate the results of all intermediate steps
  2. Can be executed step-by-step
  3. Can repeat steps (e.g., to calculate multiple slices on the same input)

See the in-code documentation for more information.

Using the RShell to Interact with R

The RShell class allows interfacing with the R ecosystem installed on the host system. Please have a look at flowR's Engines for more information on alternatives (for example, the TreeSitterExecutor).

Important

Each RShell controls a new instance of the R interpreter, make sure to call RShell::close() when you are done.

You can start a new "session" simply by constructing a new object with new RShell().

However, there are several options that may be of interest (e.g., to automatically revive the shell in case of errors or to control the name location of the R process on the system).

With a shell object (let's call it shell), you can execute R code by using RShell::sendCommand, for example shell.sendCommand("1 + 1"). However, this does not return anything, so if you want to collect the output of your command, use RShell::sendCommandWithOutput instead.

Besides that, the command RShell::tryToInjectHomeLibPath may be of interest, as it enables all libraries available on the host system.

Generate Statistics (No longer a Focus of flowR)

Adding a New Feature to Extract

In this example, we construct a new feature to extract, with the name "example". Whenever this name appears, you may substitute this with whatever name fits your feature best (as long as the name is unique).

  1. Create a new file in src/statistics/features/supported
    Create the file example.ts, and add its export to the index.ts file in the same directory (if not done automatically).

  2. Create the basic structure
    To get a better feel of what a feature must have, let's look at the basic structure (of course, due to TypeScript syntax, there are other ways to achieve the same goal):

    const initialExampleInfo = {
    /* whatever start value is good for you */
    someCounter: 0
}

export type ExampleInfo = Writable<typeof initialExampleInfo>

export const example: Feature<ExampleInfo> = {
 name:        'Example Feature',
 description: 'A longer example description',

 process(existing: ExampleInfo, input: FeatureProcessorInput): ExampleInfo {
   /* perform analysis on the input */
   return existing
 },

 initialValue: initialExampleInfo
}

    The initialExampleInfo type holds the initial values for each counter that you want to maintain during the feature extraction (they will usually be initialized with 0). The resulting ExampleInfo type holds the structure of the data that is to be counted. Due to the vast amount of data processed, information like the name and location of a function call is not stored here, but instead written to disk (see below).

    Every new feature must be of the Feature<Info> type, with Info referring to a FeatureInfo (like ExampleInfo in this example). Next to a name and a description, each Feature must provide:

    • a processor that extracts the information from the input, adding it to the existing information.
    • a function returning the initial value of the information (in this case, initialExampleInfo).

  3. Add it to the feature-mapping
    Now, in the feature.ts file in src/statistics/features, add your feature to the ALL_FEATURES object.

Now, we want to extract something. For the example feature created in the previous steps, we choose to count the amount of COMMENT tokens. So we define a corresponding XPath query:

const commentQuery: Query = xpath.parse('//COMMENT')

Within our feature's process function, running the query is as simple as:

const comments = commentQuery.select({ node: input.parsedRAst })

Now we could do a lot of further processing, but for simplicity, we only record every comment found this way:

appendStatisticsFile(example.name, 'comments', comments, input.filepath)

We use example.name to avoid duplication with the name that we’ve assigned to the feature. It corresponds to the name of the folder in the statistics output. 'comments' refers to a freely chosen (but unique) name, that will be used as the name for the output file within the folder. The comments variable holds the result of the query, which is an array of nodes. Finally, we pass the filepath of the file that was analyzed (if known), so that it can be added to the statistics file (as additional information).

💬 Communicating with the Server

As explained in the Overview, you can simply run the TCP server by adding the --server flag (and, due to the interactive mode, exit with the conventional CTRL+C). Currently, every connection is handled by the same underlying RShell - so the server is not designed to handle many clients at a time. Additionally, the server is not well guarded against attacks (e.g., you can theoretically spawn an arbitrary number of RShell sessions on the target machine).

Every message has to be given in a single line (i.e., without a newline in-between) and end with a newline character. Nevertheless, we will pretty-print example given in the following segments for the ease of reading.

Note

The default --server uses a simple TCP connection. If you want flowR to expose a WebSocket server instead, add the --ws flag (i.e., --server --ws) when starting flowR from the command line.

  • Hello Message (hello)
    View Details. The server informs the client about the successful connection and provides Meta-Information. 
    sequenceDiagram
    autonumber
    participant Client
    participant Server

    
    Client-->Server: connects
    Server->>Client: hello
    Loading

    After launching flowR, for example, with docker run -it --rm eagleoutice/flowr --server (🐳️), simply connecting should present you with a hello message, that amongst others should reveal the versions of flowR and R, using the semver 2.0 versioning scheme. The message looks like this:

    {
  "type": "hello",
  "clientName": "client-0",
  "versions": {
    "flowr": "2.10.7",
    "r": "4.5.0",
    "engine": "r-shell"
  }
}

    There are currently a few messages that you can send after the hello message. If you want to slice a piece of R code you first have to send an analysis request, so that you can send one or multiple slice requests afterward. Requests for the REPL are independent of that.

    Message schema (hello)

    For the definition of the hello message, please see it's implementation at ./src/cli/repl/server/messages/message-hello.ts.

    • [required] (object)
      • type [required] The type of the hello message. (string) Only allows: 'hello'
      • id [forbidden] The id of the message is always undefined (as it is the initial message and not requested). (any)
      • clientName [required] A unique name that is assigned to each client. It has no semantic meaning and is only used/useful for debugging. (string)
      • versions [required] (object)
        • flowr [required] The version of the flowr server running in semver format. (string)
        • r [required] The version of the underlying R shell running in semver format. (string)
        • engine [required] The parser backend that is used to parse the R code. (string)
  • Analysis Message (request-file-analysis)
    View Details. The server builds the dataflow graph for a given input file (or a set of files). 
    sequenceDiagram
    autonumber
    participant Client
    participant Server

    
    Client->>+Server: request-file-analysis
    alt
        Server-->>Client: response-file-analysis
    else
        Server-->>Client: error
    end
    deactivate  Server
    Loading

    The request allows the server to analyze a file and prepare it for slicing. The message can contain a filetoken, which is used to identify the file in later slice or query requests (if you do not add one, the request will not be stored and therefore, it is not available for subsequent requests).

    Please note!
    If you want to send and process a lot of analysis requests, but do not want to slice them, please do not pass the filetoken field. This will save the server a lot of memory allocation.

    Furthermore, the request must contain either a content field to directly pass the file's content or a filepath field which contains the path to the file (this path must be accessible for the server to be useful). If you add the id field, the answer will use the same id so you can match requests and the corresponding answers. See the implementation of the request-file-analysis message for more information.

    Example of the request-file-analysis Message

    Note: even though we pretty-print these messages, they are sent as a single line, ending with a newline.

    The following lists all messages that were sent and received in case you want to reproduce the scenario:

    1. hello (response)
      Show Details

      The first message is always a hello message.

      {
  "type": "hello",
  "clientName": "client-0",
  "versions": {
    "flowr": "2.10.7",
    "r": "4.5.0",
    "engine": "r-shell"
  }
}
    2. request-file-analysis (request)
      Show Details

      Let's suppose you simply want to analyze the following script:

      x <- 1
x + 1

      For this, you can send the following request:

      {
  "type": "request-file-analysis",
  "id": "1",
  "filetoken": "x",
  "content": "x <- 1\nx + 1"
}
    3. response-file-analysis (response)
      Show Details

      The results field of the response effectively contains three keys of importance:

      • parse: which contains 1:1 the parse result in CSV format that we received from the RShell (i.e., the AST produced by the parser of the R interpreter).
      • normalize: which contains the normalized AST, including ids (see the info field and the Normalized AST wiki page).
      • dataflow: especially important is the graph field which contains the dataflow graph as a set of root vertices (see the Dataflow Graph wiki page).

      As the code is pretty long, we inhibit pretty printing and syntax highlighting (JSON, hiding built-in):

      {"type":"response-file-analysis","format":"json","id":"1","results":{"parse":{"files":[{"parsed":"[1,1,1,6,7,0,\"expr\",false,\"x <- 1\"],[1,1,1,1,1,3,\"SYMBOL\",true,\"x\"],[1,1,1,1,3,7,\"expr\",false,\"x\"],[1,3,1,4,2,7,\"LEFT_ASSIGN\",true,\"<-\"],[1,6,1,6,4,5,\"NUM_CONST\",true,\"1\"],[1,6,1,6,5,7,\"expr\",false,\"1\"],[2,1,2,5,16,0,\"expr\",false,\"x + 1\"],[2,1,2,1,10,12,\"SYMBOL\",true,\"x\"],[2,1,2,1,12,16,\"expr\",false,\"x\"],[2,3,2,3,11,16,\"'+'\",true,\"+\"],[2,5,2,5,13,14,\"NUM_CONST\",true,\"1\"],[2,5,2,5,14,16,\"expr\",false,\"1\"]","filePath":"/tmp/tmp-9023-qCN0BMCiADLb-.R"}],".meta":{"timing":2}},"normalize":{"ast":{"type":"RProject","files":[{"root":{"type":"RExpressionList","children":[{"type":"RBinaryOp","location":[1,3,1,4],"lhs":{"type":"RSymbol","location":[1,1,1,1],"content":"x","lexeme":"x","info":{"fullRange":[1,1,1,1],"adToks":[],"id":0,"parent":2,"role":"bin-l","index":0,"nest":0,"file":"/tmp/tmp-9023-qCN0BMCiADLb-.R"}},"rhs":{"location":[1,6,1,6],"lexeme":"1","info":{"fullRange":[1,6,1,6],"adToks":[],"id":1,"parent":2,"role":"bin-r","index":1,"nest":0,"file":"/tmp/tmp-9023-qCN0BMCiADLb-.R"},"type":"RNumber","content":{"num":1,"complexNumber":false,"markedAsInt":false}},"operator":"<-","lexeme":"<-","info":{"fullRange":[1,1,1,6],"adToks":[],"id":2,"parent":6,"nest":0,"file":"/tmp/tmp-9023-qCN0BMCiADLb-.R","index":0,"role":"el-c"}},{"type":"RBinaryOp","location":[2,3,2,3],"lhs":{"type":"RSymbol","location":[2,1,2,1],"content":"x","lexeme":"x","info":{"fullRange":[2,1,2,1],"adToks":[],"id":3,"parent":5,"role":"bin-l","index":0,"nest":0,"file":"/tmp/tmp-9023-qCN0BMCiADLb-.R"}},"rhs":{"location":[2,5,2,5],"lexeme":"1","info":{"fullRange":[2,5,2,5],"adToks":[],"id":4,"parent":5,"role":"bin-r","index":1,"nest":0,"file":"/tmp/tmp-9023-qCN0BMCiADLb-.R"},"type":"RNumber","content":{"num":1,"complexNumber":false,"markedAsInt":false}},"operator":"+","lexeme":"+","info":{"fullRange":[2,1,2,5],"adToks":[],"id":5,"parent":6,"nest":0,"file":"/tmp/tmp-9023-qCN0BMCiADLb-.R","index":1,"role":"el-c"}}],"info":{"adToks":[],"id":6,"nest":0,"file":"/tmp/tmp-9023-qCN0BMCiADLb-.R","role":"root","index":0}},"filePath":"/tmp/tmp-9023-qCN0BMCiADLb-.R"}],"info":{"id":7}},".meta":{"timing":0}},"dataflow":{"unknownReferences":[],"in":[{"nodeId":2,"name":"<-","type":2},{"nodeId":5,"name":"+","type":2}],"out":[{"nodeId":0,"name":"x","type":4,"definedAt":2,"value":[1]}],"environment":{"current":{"id":1851,"parent":"<BuiltInEnvironment>","memory":[["x",[{"nodeId":0,"name":"x","type":4,"definedAt":2,"value":[1]}]]]},"level":0},"graph":{"rootVertices":[1,0,2,3,4,5],"vertexInformation":[[1,{"tag":"value","id":1}],[0,{"tag":"vdef","id":0,"source":[1]}],[2,{"tag":"fcall","id":2,"name":"<-","onlyBuiltin":true,"args":[{"nodeId":0,"type":32},{"nodeId":1,"type":32}],"origin":["builtin:assign"]}],[3,{"tag":"use","id":3}],[4,{"tag":"value","id":4}],[5,{"tag":"fcall","id":5,"name":"+","onlyBuiltin":true,"args":[{"nodeId":3,"type":32},{"nodeId":4,"type":32}],"origin":["builtin:d"]}]],"edgeInformation":[[2,[[1,{"types":65}],[0,{"types":72}],["built-in:<-",{"types":5}]]],[0,[[1,{"types":2}],[2,{"types":2}]]],[3,[[0,{"types":1}]]],[5,[[3,{"types":65}],[4,{"types":65}],["built-in:+",{"types":5}]]]],"_unknownSideEffects":[]},"entryPoint":2,"exitPoints":[{"type":0,"nodeId":5}],"hooks":[],".meta":{"timing":0}}}}

    The complete round-trip took 8.4 ms (including time required to validate the messages, start, and stop the internal mock server).

    You receive an error if, for whatever reason, the analysis fails (e.g., the message or code you sent contained syntax errors). It contains a human-readable description why the analysis failed (see the error message implementation for more details).

    Example Error Message

    Note: even though we pretty-print these messages, they are sent as a single line, ending with a newline.

    The following lists all messages that were sent and received in case you want to reproduce the scenario:

    1. hello (response)
      Show Details

      The first message is always a hello message.

      {
  "type": "hello",
  "clientName": "client-0",
  "versions": {
    "flowr": "2.10.7",
    "r": "4.5.0",
    "engine": "r-shell"
  }
}
    2. request-file-analysis (request)
      Show Details 
      {
  "type": "request-file-analysis",
  "id": "1",
  "filename": "sample.R",
  "content": "x <-"
}
    3. error (response)
      Show Details 
      {
  "id": "1",
  "type": "error",
  "fatal": false,
  "reason": "Error while analyzing file sample.R: GuardError: unable to parse R code (see the log for more information) for request {\"request\":\"text\",\"content\":\"x <-\"}}\n Report a Bug: https://github.com/flowr-analysis/flowr/issues/new?body=%3C!%2D%2D%20Please%20describe%20your%20issue%20in%20more%20detail%20below!%20%2D%2D%3E%0A%0A%0A%3C!%2D%2D%20Automatically%20generated%20issue%20metadata%2C%20please%20do%20not%20edit%20or%20delete%20content%20below%20this%20line%20%2D%2D%3E%0A%2D%2D%2D%0A%0AflowR%20version%3A%202.10.7%0Anode%20version%3A%20v25.6.1%0Anode%20arch%3A%20x64%0Anode%20platform%3A%20linux%0Amessage%3A%20%60unable%20to%20parse%20R%20code%20%28see%20the%20log%20for%20more%20information%29%20for%20request%20%7B%22request%22%3A%22text%22%2C%22content%22%3A%22x%20%3C%2D%22%7D%7D%60%0Astack%20trace%3A%0A%60%60%60%0A%20%20%20%20at%20guard%20%28%3C%3E%2Fsrc%2Futil%2Fassert.ts%3A128%3A9%29%0A%20%20%20%20at%20guardRetrievedOutput%20%28%3C%3E%2Fsrc%2Fr%2Dbridge%2Fretriever.ts%3A221%3A7%29%0A%20%20%20%20at%20%2Fhome%2Frunner%2Fwork%2Fflowr%2Fflowr%2Fsrc%2Fr%2Dbridge%2Fretriever.ts%3A182%3A4%0A%20%20%20%20at%20processTicksAndRejections%20%28node%3Ainternal%2Fprocess%2Ftask_queues%3A104%3A5%29%0A%20%20%20%20at%20async%20Object.parseRequests%20%5Bas%20processor%5D%20%28%3C%3E%2Fsrc%2Fr%2Dbridge%2Fparser.ts%3A104%3A19%29%0A%20%20%20%20at%20async%20PipelineExecutor.nextStep%20%28%3C%3E%2Fsrc%2Fcore%2Fpipeline%2Dexecutor.ts%3A192%3A25%29%0A%20%20%20%20at%20async%20FlowrAnalyzerCache.runTapeUntil%20%28%3C%3E%2Fsrc%2Fproject%2Fcache%2Fflowr%2Danalyzer%2Dcache.ts%3A92%3A4%29%0A%20%20%20%20at%20async%20FlowRServerConnection.sendFileAnalysisResponse%20%28%3C%3E%2Fsrc%2Fcli%2Frepl%2Fserver%2Fconnection.ts%3A163%3A52%29%0A%60%60%60%0A%0A%2D%2D%2D%0A%09"
}

    The complete round-trip took 14.8 ms (including time required to validate the messages, start, and stop the internal mock server).

     

    Including the Control Flow Graph

    While flowR does (for the time being) not use an explicit control flow graph but instead relies on control-dependency edges within the dataflow graph, the respective structure can still be exposed using the server (note that, as this feature is not needed within flowR, it is tested significantly less - so please create a new issue for any bug you may encounter). For this, the analysis request may add cfg: true to its list of options.

    Requesting a Control Flow Graph

    Note: even though we pretty-print these messages, they are sent as a single line, ending with a newline.

    The following lists all messages that were sent and received in case you want to reproduce the scenario:

    1. hello (response)
      Show Details

      The first message is always a hello message.

      {
  "type": "hello",
  "clientName": "client-0",
  "versions": {
    "flowr": "2.10.7",
    "r": "4.5.0",
    "engine": "r-shell"
  }
}
    2. request-file-analysis (request)
      Show Details 
      {
  "type": "request-file-analysis",
  "id": "1",
  "filetoken": "x",
  "content": "if(unknown > 0) { x <- 2 } else { x <- 5 }\nfor(i in 1:x) { print(x); print(i) }",
  "cfg": true
}
    3. response-file-analysis (response)
      Show Details

      The response looks basically the same as a response sent without the cfg flag. However, additionally it contains a cfg field. If you are interested in a visual representation of the control flow graph, see the visualization with mermaid.

      As the code is pretty long, we inhibit pretty printing and syntax highlighting (JSON, hiding built-in):

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    The complete round-trip took 8.2 ms (including time required to validate the messages, start, and stop the internal mock server).

     

    Retrieve the Output as RDF N-Quads

    The default response is formatted as JSON. However, by specifying format: "n-quads", you can retrieve the individual results (e.g., the Normalized AST), as RDF N-Quads. This works with and without the control flow graph as described above.

    Requesting RDF N-Quads

    Note: even though we pretty-print these messages, they are sent as a single line, ending with a newline.

    The following lists all messages that were sent and received in case you want to reproduce the scenario:

    1. hello (response)
      Show Details

      The first message is always a hello message.

      {
  "type": "hello",
  "clientName": "client-0",
  "versions": {
    "flowr": "2.10.7",
    "r": "4.5.0",
    "engine": "r-shell"
  }
}
    2. request-file-analysis (request)
      Show Details 
      {
  "type": "request-file-analysis",
  "id": "1",
  "filetoken": "x",
  "content": "x <- 1\nx + 1",
  "format": "n-quads",
  "cfg": true
}
    3. response-file-analysis (response)
      Show Details

      Please note, that the base message format is still JSON. Only the individual results get converted. While the context is derived from the filename, we currently offer no way to customize other parts of the quads (please open a new issue if you require this).

      As the code is pretty long, we inhibit pretty printing and syntax highlighting (JSON, hiding built-in):

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<https://uni-ulm.de/r-ast/text> \"<-\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/1> <https://uni-ulm.de/r-ast/children> <https://uni-ulm.de/r-ast/unknown/6> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/line1> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/col1> \"6\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/line2> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/col2> \"6\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/id> \"5\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/parent> \"7\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/token> \"expr\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/terminal> \"false\"^^<http://www.w3.org/2001/XMLSchema#boolean> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/text> \"1\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/children> <https://uni-ulm.de/r-ast/unknown/7> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/line1> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/col1> \"6\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/line2> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/col2> \"6\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/id> \"4\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/parent> \"5\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/token> \"NUM_CONST\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/terminal> \"true\"^^<http://www.w3.org/2001/XMLSchema#boolean> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/text> \"1\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/children> <https://uni-ulm.de/r-ast/unknown/2> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/line1> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/col1> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/line2> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/col2> \"5\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/id> \"16\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/parent> \"0\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/token> \"expr\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/terminal> \"false\"^^<http://www.w3.org/2001/XMLSchema#boolean> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/text> \"x + 1\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/children> <https://uni-ulm.de/r-ast/unknown/8> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/9> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/line1> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/col1> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/line2> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/col2> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/id> \"12\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/parent> \"16\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/token> \"expr\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/terminal> \"false\"^^<http://www.w3.org/2001/XMLSchema#boolean> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/text> \"x\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/children> <https://uni-ulm.de/r-ast/unknown/10> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/10> <https://uni-ulm.de/r-ast/line1> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/10> <https://uni-ulm.de/r-ast/col1> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/10> <https://uni-ulm.de/r-ast/line2> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/10> <https://uni-ulm.de/r-ast/col2> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/10> <https://uni-ulm.de/r-ast/id> \"10\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/10> <https://uni-ulm.de/r-ast/parent> \"12\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/10> <https://uni-ulm.de/r-ast/token> \"SYMBOL\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/10> <https://uni-ulm.de/r-ast/terminal> \"true\"^^<http://www.w3.org/2001/XMLSchema#boolean> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/10> <https://uni-ulm.de/r-ast/text> \"x\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/children> <https://uni-ulm.de/r-ast/unknown/9> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/9> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/11> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/9> <https://uni-ulm.de/r-ast/line1> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/9> <https://uni-ulm.de/r-ast/col1> \"3\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/9> <https://uni-ulm.de/r-ast/line2> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/9> <https://uni-ulm.de/r-ast/col2> \"3\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/9> <https://uni-ulm.de/r-ast/id> \"11\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/9> <https://uni-ulm.de/r-ast/parent> \"16\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/9> <https://uni-ulm.de/r-ast/token> \"+\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/9> <https://uni-ulm.de/r-ast/terminal> \"true\"^^<http://www.w3.org/2001/XMLSchema#boolean> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/9> <https://uni-ulm.de/r-ast/text> \"+\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/children> <https://uni-ulm.de/r-ast/unknown/11> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/11> <https://uni-ulm.de/r-ast/line1> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/11> <https://uni-ulm.de/r-ast/col1> \"5\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/11> <https://uni-ulm.de/r-ast/line2> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/11> <https://uni-ulm.de/r-ast/col2> \"5\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/11> <https://uni-ulm.de/r-ast/id> \"14\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/11> <https://uni-ulm.de/r-ast/parent> \"16\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/11> <https://uni-ulm.de/r-ast/token> \"expr\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/11> <https://uni-ulm.de/r-ast/terminal> \"false\"^^<http://www.w3.org/2001/XMLSchema#boolean> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/11> <https://uni-ulm.de/r-ast/text> \"1\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/11> <https://uni-ulm.de/r-ast/children> <https://uni-ulm.de/r-ast/unknown/12> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/12> <https://uni-ulm.de/r-ast/line1> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/12> <https://uni-ulm.de/r-ast/col1> \"5\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/12> <https://uni-ulm.de/r-ast/line2> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/12> <https://uni-ulm.de/r-ast/col2> \"5\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/12> <https://uni-ulm.de/r-ast/id> \"13\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/12> <https://uni-ulm.de/r-ast/parent> \"14\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/12> <https://uni-ulm.de/r-ast/token> \"NUM_CONST\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/12> <https://uni-ulm.de/r-ast/terminal> \"true\"^^<http://www.w3.org/2001/XMLSchema#boolean> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/12> <https://uni-ulm.de/r-ast/text> \"1\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/terminal> \"false\"^^<http://www.w3.org/2001/XMLSchema#boolean> <unknown> .\n","normalize":"<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/type> \"RExpressionList\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/children> <https://uni-ulm.de/r-ast/unknown/1> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/1> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/2> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/1> <https://uni-ulm.de/r-ast/type> \"RBinaryOp\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/1> <https://uni-ulm.de/r-ast/location> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/1> <https://uni-ulm.de/r-ast/location> \"3\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/1> <https://uni-ulm.de/r-ast/location> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/1> <https://uni-ulm.de/r-ast/location> \"4\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/1> <https://uni-ulm.de/r-ast/lhs> <https://uni-ulm.de/r-ast/unknown/3> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/3> <https://uni-ulm.de/r-ast/type> \"RSymbol\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/3> <https://uni-ulm.de/r-ast/location> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/3> <https://uni-ulm.de/r-ast/location> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/3> <https://uni-ulm.de/r-ast/location> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/3> <https://uni-ulm.de/r-ast/location> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/3> <https://uni-ulm.de/r-ast/content> \"x\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/3> <https://uni-ulm.de/r-ast/lexeme> \"x\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/1> <https://uni-ulm.de/r-ast/rhs> <https://uni-ulm.de/r-ast/unknown/4> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/4> <https://uni-ulm.de/r-ast/location> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/4> <https://uni-ulm.de/r-ast/location> \"6\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/4> <https://uni-ulm.de/r-ast/location> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/4> <https://uni-ulm.de/r-ast/location> \"6\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/4> <https://uni-ulm.de/r-ast/lexeme> \"1\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/4> <https://uni-ulm.de/r-ast/type> \"RNumber\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/4> <https://uni-ulm.de/r-ast/content> <https://uni-ulm.de/r-ast/unknown/5> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/5> <https://uni-ulm.de/r-ast/num> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/1> <https://uni-ulm.de/r-ast/operator> \"<-\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/1> <https://uni-ulm.de/r-ast/lexeme> \"<-\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/children> <https://uni-ulm.de/r-ast/unknown/2> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/type> \"RBinaryOp\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/location> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/location> \"3\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/location> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/location> \"3\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/lhs> <https://uni-ulm.de/r-ast/unknown/6> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/type> \"RSymbol\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/location> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/location> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/location> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/location> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/content> \"x\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/lexeme> \"x\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/rhs> <https://uni-ulm.de/r-ast/unknown/7> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/location> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/location> \"5\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/location> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/location> \"5\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/lexeme> \"1\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/type> \"RNumber\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/content> <https://uni-ulm.de/r-ast/unknown/8> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/num> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/operator> \"+\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/lexeme> \"+\" <unknown> .\n","dataflow":"<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/rootIds> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/rootIds> \"0\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/rootIds> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/rootIds> \"3\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/rootIds> \"4\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/rootIds> \"5\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/vertices> <https://uni-ulm.de/r-ast/unknown/1> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/1> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/2> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/1> <https://uni-ulm.de/r-ast/tag> \"value\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/1> <https://uni-ulm.de/r-ast/id> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/vertices> <https://uni-ulm.de/r-ast/unknown/2> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/3> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/tag> \"vdef\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/id> \"0\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/2> <https://uni-ulm.de/r-ast/source> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/vertices> <https://uni-ulm.de/r-ast/unknown/3> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/3> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/4> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/3> <https://uni-ulm.de/r-ast/tag> \"fcall\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/3> <https://uni-ulm.de/r-ast/id> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/3> <https://uni-ulm.de/r-ast/name> \"<-\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/3> <https://uni-ulm.de/r-ast/onlyBuiltin> \"true\"^^<http://www.w3.org/2001/XMLSchema#boolean> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/3> <https://uni-ulm.de/r-ast/args> <https://uni-ulm.de/r-ast/unknown/5> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/5> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/6> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/5> <https://uni-ulm.de/r-ast/nodeId> \"0\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/5> <https://uni-ulm.de/r-ast/type> \"32\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/3> <https://uni-ulm.de/r-ast/args> <https://uni-ulm.de/r-ast/unknown/6> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/nodeId> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/6> <https://uni-ulm.de/r-ast/type> \"32\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/3> <https://uni-ulm.de/r-ast/origin> \"builtin:assign\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/vertices> <https://uni-ulm.de/r-ast/unknown/4> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/4> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/7> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/4> <https://uni-ulm.de/r-ast/tag> \"use\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/4> <https://uni-ulm.de/r-ast/id> \"3\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/vertices> <https://uni-ulm.de/r-ast/unknown/7> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/8> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/tag> \"value\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/7> <https://uni-ulm.de/r-ast/id> \"4\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/vertices> <https://uni-ulm.de/r-ast/unknown/8> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/tag> \"fcall\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/id> \"5\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/name> \"+\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/onlyBuiltin> \"true\"^^<http://www.w3.org/2001/XMLSchema#boolean> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/args> <https://uni-ulm.de/r-ast/unknown/9> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/9> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/10> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/9> <https://uni-ulm.de/r-ast/nodeId> \"3\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/9> <https://uni-ulm.de/r-ast/type> \"32\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/args> <https://uni-ulm.de/r-ast/unknown/10> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/10> <https://uni-ulm.de/r-ast/nodeId> \"4\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/10> <https://uni-ulm.de/r-ast/type> \"32\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/8> <https://uni-ulm.de/r-ast/origin> \"builtin:d\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/edges> <https://uni-ulm.de/r-ast/unknown/11> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/11> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/12> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/11> <https://uni-ulm.de/r-ast/from> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/11> <https://uni-ulm.de/r-ast/to> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/11> <https://uni-ulm.de/r-ast/type> \"reads\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/11> <https://uni-ulm.de/r-ast/type> \"argument\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/edges> <https://uni-ulm.de/r-ast/unknown/12> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/12> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/13> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/12> <https://uni-ulm.de/r-ast/from> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/12> <https://uni-ulm.de/r-ast/to> \"0\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/12> <https://uni-ulm.de/r-ast/type> \"returns\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/12> <https://uni-ulm.de/r-ast/type> \"argument\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/edges> <https://uni-ulm.de/r-ast/unknown/13> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/13> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/14> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/13> <https://uni-ulm.de/r-ast/from> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/13> <https://uni-ulm.de/r-ast/to> \"built-in:<-\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/13> <https://uni-ulm.de/r-ast/type> \"reads\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/13> <https://uni-ulm.de/r-ast/type> \"calls\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/edges> <https://uni-ulm.de/r-ast/unknown/14> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/14> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/15> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/14> <https://uni-ulm.de/r-ast/from> \"0\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/14> <https://uni-ulm.de/r-ast/to> \"1\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/14> <https://uni-ulm.de/r-ast/type> \"defined-by\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/edges> <https://uni-ulm.de/r-ast/unknown/15> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/15> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/16> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/15> <https://uni-ulm.de/r-ast/from> \"0\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/15> <https://uni-ulm.de/r-ast/to> \"2\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/15> <https://uni-ulm.de/r-ast/type> \"defined-by\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/edges> <https://uni-ulm.de/r-ast/unknown/16> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/16> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/17> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/16> <https://uni-ulm.de/r-ast/from> \"3\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/16> <https://uni-ulm.de/r-ast/to> \"0\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/16> <https://uni-ulm.de/r-ast/type> \"reads\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/edges> <https://uni-ulm.de/r-ast/unknown/17> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/17> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/18> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/17> <https://uni-ulm.de/r-ast/from> \"5\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/17> <https://uni-ulm.de/r-ast/to> \"3\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/17> <https://uni-ulm.de/r-ast/type> \"reads\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/17> <https://uni-ulm.de/r-ast/type> \"argument\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/edges> <https://uni-ulm.de/r-ast/unknown/18> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/18> <https://uni-ulm.de/r-ast/next> <https://uni-ulm.de/r-ast/unknown/19> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/18> <https://uni-ulm.de/r-ast/from> \"5\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/18> <https://uni-ulm.de/r-ast/to> \"4\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/18> <https://uni-ulm.de/r-ast/type> \"reads\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/18> <https://uni-ulm.de/r-ast/type> \"argument\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/0> <https://uni-ulm.de/r-ast/edges> <https://uni-ulm.de/r-ast/unknown/19> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/19> <https://uni-ulm.de/r-ast/from> \"5\"^^<http://www.w3.org/2001/XMLSchema#integer> <unknown> .\n<https://uni-ulm.de/r-ast/unknown/19> <https://uni-ulm.de/r-ast/to> \"built-in:+\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/19> <https://uni-ulm.de/r-ast/type> \"reads\" <unknown> .\n<https://uni-ulm.de/r-ast/unknown/19> <https://uni-ulm.de/r-ast/type> \"calls\" <unknown> .\n"}}

    The complete round-trip took 6.0 ms (including time required to validate the messages, start, and stop the internal mock server).

    Retrieve the Output in a Compacted Form

    The default response is formatted as JSON. But this can get very big quickly. By specifying format: "compact", you can retrieve the results heavily compacted (using lz-string). This works with and without the control flow graph as described above.

    Requesting Compacted Results

    Note: even though we pretty-print these messages, they are sent as a single line, ending with a newline.

    The following lists all messages that were sent and received in case you want to reproduce the scenario:

    1. hello (response)
      Show Details

      The first message is always a hello message.

      {
  "type": "hello",
  "clientName": "client-0",
  "versions": {
    "flowr": "2.10.7",
    "r": "4.5.0",
    "engine": "r-shell"
  }
}
    2. request-file-analysis (request)
      Show Details 
      {
  "type": "request-file-analysis",
  "id": "1",
  "filetoken": "x",
  "content": "x <- 1\nx + 1",
  "format": "compact",
  "cfg": true
}
    3. response-file-analysis (response)
      Show Details

      Please note, that the base message format is still JSON. Only the individual results are printed as binary objects.

      As the code is pretty long, we inhibit pretty printing and syntax highlighting (JSON, hiding built-in):

      {"type":"response-file-analysis","format":"compact","id":"1","cfg":"ᯡ࠳䅬̀坐ᶡ乀஠洢琣℥犸ŜHߐএ妔Ǔ㗠ߙ⣬啕㑡偍ȱ琢᩠ѐې矏ġ巊☼Ćモ<M⥡䊵ᖻ■ƫCଠጮ᧾ၸƸ堠壐ː獞姣柾䀻䨣D帠ڊ℃⃱ヰᚱ砸-幊ᗭャ╥ස܉㑳ᚑ䝂斱㎬❅ⷜ㥀઻㖊⩞斻㇪㦄Დ⹹坲劇ᷲ嶧椑З禲廕ਔ䠠䁠ె均䐠䵁炒稨㋢䈨ᨾੈ䞄猒桦͔愆⭂畳⪭朾ݛᴗ寡歺ỽ烰綑紬簧䧠ӄ䃔ဳ㏝瑨ߠʫ㛛࡬Ꮁะ䖠໚䰠懼瓙⋇ᵨധ渰翿ଛůᑥ眘⦿ࣣ攦䘯ᡊ೛栠㺠஌ሰA㽕ثԑ∢\"籅† 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 "}

    The complete round-trip took 42.7 ms (including time required to validate the messages, start, and stop the internal mock server).

    Message schema (request-file-analysis)

    For the definition of the hello message, please see it's implementation at ./src/cli/repl/server/messages/message-analysis.ts.

    • (object)
      • type [required] The type of the message. (string) Only allows: 'request-file-analysis'
      • id [optional] You may pass an id to link requests with responses (they get the same id). (string)
      • filetoken [optional] A unique token to identify the file for subsequent requests. Only use this if you plan to send more queries! (string)
      • filename [optional] A human-readable name of the file, only for debugging purposes. (string)
      • content [optional] The content of the file or an R expression (either give this or the filepath). (string)
      • filepath [optional] The path to the file(s) on the local machine (either give this or the content). (alternatives)
        • (string)
        • (array) Valid item types:
          • (string)
      • cfg [optional] If you want to extract the control flow information of the file. (boolean)
      • format [optional] The format of the results, if missing we assume json. (string) Only allows: 'json', 'n-quads', 'compact'
    Message schema (response-file-analysis)

    For the definition of the hello message, please see it's implementation at ./src/cli/repl/server/messages/message-analysis.ts.

    • [required] The response to a file analysis request (based on the format field). (alternatives)
      • The response in JSON format. (object)
        • type [required] The type of the message. (string) Only allows: 'response-file-analysis'
        • id [optional] The id of the message, if you passed one in the request. (string)
        • format [required] The format of the results in json format. (string) Only allows: 'json'
        • results [required] The results of the analysis (one field per step). (object)
        • cfg [optional] The control flow information of the file, only present if requested. (object)
      • The response as n-quads. (object)
        • type [required] The type of the message. (string) Only allows: 'response-file-analysis'
        • id [optional] The id of the message, if you passed one in the request. (string)
        • format [required] The format of the results in n-quads format. (string) Only allows: 'n-quads'
        • results [required] The results of the analysis (one field per step). Quads are presented as string. (object)
        • cfg [optional] The control flow information of the file, only present if requested. (string)
      • (object)
        • type [required] The type of the message. (string) Only allows: 'response-file-analysis'
        • id [optional] The id of the message, if you passed one in the request. (string)
        • format [required] The format of the results in bson format. (string) Only allows: 'bson'
        • results [required] The results of the analysis (one field per step). (string)
        • cfg [optional] The control flow information of the file, only present if requested. (string)
  • Slice Message (request-slice)
    View Details. (deprecated) The server slices a file based on the given criteria. 
    sequenceDiagram
    autonumber
    participant Client
    participant Server

    
    Client->>+Server: request-slice

    alt
        Server-->>Client: response-slice
    else
        Server-->>Client: error
    end
    deactivate  Server
    Loading

    We deprecated the slice request in favor of the static-slice Query.

    To slice, you have to send a file analysis request first. The filetoken you assign is of use here as you can re-use it to repeatedly slice the same file. Besides that, you only need to add an array of slicing criteria, using one of the formats described on the terminology wiki page (however, instead of using ;, you can simply pass separate array elements). See the implementation of the request-slice message for more information.

    Additionally, you may pass "noMagicComments": true to disable the automatic selection of elements based on magic comments (see below).

    Example of the request-slice Message

    Note: even though we pretty-print these messages, they are sent as a single line, ending with a newline.

    The following lists all messages that were sent and received in case you want to reproduce the scenario:

    1. hello (response)
      Show Details

      The first message is always a hello message.

      {
  "type": "hello",
  "clientName": "client-0",
  "versions": {
    "flowr": "2.10.7",
    "r": "4.5.0",
    "engine": "r-shell"
  }
}
    2. request-file-analysis (request)
      Show Details

      Let's assume you want to slice the following script:

      x <- 1
x + 1

      For this we first request the analysis, using a filetoken of x to slice the file in the next request.

      {
  "type": "request-file-analysis",
  "id": "1",
  "filetoken": "x",
  "content": "x <- 1\nx + 1"
}
    3. response-file-analysis (response)
      Show Details

      See above for the general structure of the response.

      As the code is pretty long, we inhibit pretty printing and syntax highlighting (JSON, hiding built-in):

      {"type":"response-file-analysis","format":"json","id":"1","results":{"parse":{"files":[{"parsed":"[1,1,1,6,7,0,\"expr\",false,\"x <- 1\"],[1,1,1,1,1,3,\"SYMBOL\",true,\"x\"],[1,1,1,1,3,7,\"expr\",false,\"x\"],[1,3,1,4,2,7,\"LEFT_ASSIGN\",true,\"<-\"],[1,6,1,6,4,5,\"NUM_CONST\",true,\"1\"],[1,6,1,6,5,7,\"expr\",false,\"1\"],[2,1,2,5,16,0,\"expr\",false,\"x + 1\"],[2,1,2,1,10,12,\"SYMBOL\",true,\"x\"],[2,1,2,1,12,16,\"expr\",false,\"x\"],[2,3,2,3,11,16,\"'+'\",true,\"+\"],[2,5,2,5,13,14,\"NUM_CONST\",true,\"1\"],[2,5,2,5,14,16,\"expr\",false,\"1\"]","filePath":"/tmp/tmp-9023-Swa3MIe5QDZ1-.R"}],".meta":{"timing":2}},"normalize":{"ast":{"type":"RProject","files":[{"root":{"type":"RExpressionList","children":[{"type":"RBinaryOp","location":[1,3,1,4],"lhs":{"type":"RSymbol","location":[1,1,1,1],"content":"x","lexeme":"x","info":{"fullRange":[1,1,1,1],"adToks":[],"id":0,"parent":2,"role":"bin-l","index":0,"nest":0,"file":"/tmp/tmp-9023-Swa3MIe5QDZ1-.R"}},"rhs":{"location":[1,6,1,6],"lexeme":"1","info":{"fullRange":[1,6,1,6],"adToks":[],"id":1,"parent":2,"role":"bin-r","index":1,"nest":0,"file":"/tmp/tmp-9023-Swa3MIe5QDZ1-.R"},"type":"RNumber","content":{"num":1,"complexNumber":false,"markedAsInt":false}},"operator":"<-","lexeme":"<-","info":{"fullRange":[1,1,1,6],"adToks":[],"id":2,"parent":6,"nest":0,"file":"/tmp/tmp-9023-Swa3MIe5QDZ1-.R","index":0,"role":"el-c"}},{"type":"RBinaryOp","location":[2,3,2,3],"lhs":{"type":"RSymbol","location":[2,1,2,1],"content":"x","lexeme":"x","info":{"fullRange":[2,1,2,1],"adToks":[],"id":3,"parent":5,"role":"bin-l","index":0,"nest":0,"file":"/tmp/tmp-9023-Swa3MIe5QDZ1-.R"}},"rhs":{"location":[2,5,2,5],"lexeme":"1","info":{"fullRange":[2,5,2,5],"adToks":[],"id":4,"parent":5,"role":"bin-r","index":1,"nest":0,"file":"/tmp/tmp-9023-Swa3MIe5QDZ1-.R"},"type":"RNumber","content":{"num":1,"complexNumber":false,"markedAsInt":false}},"operator":"+","lexeme":"+","info":{"fullRange":[2,1,2,5],"adToks":[],"id":5,"parent":6,"nest":0,"file":"/tmp/tmp-9023-Swa3MIe5QDZ1-.R","index":1,"role":"el-c"}}],"info":{"adToks":[],"id":6,"nest":0,"file":"/tmp/tmp-9023-Swa3MIe5QDZ1-.R","role":"root","index":0}},"filePath":"/tmp/tmp-9023-Swa3MIe5QDZ1-.R"}],"info":{"id":7}},".meta":{"timing":0}},"dataflow":{"unknownReferences":[],"in":[{"nodeId":2,"name":"<-","type":2},{"nodeId":5,"name":"+","type":2}],"out":[{"nodeId":0,"name":"x","type":4,"definedAt":2,"value":[1]}],"environment":{"current":{"id":1963,"parent":"<BuiltInEnvironment>","memory":[["x",[{"nodeId":0,"name":"x","type":4,"definedAt":2,"value":[1]}]]]},"level":0},"graph":{"rootVertices":[1,0,2,3,4,5],"vertexInformation":[[1,{"tag":"value","id":1}],[0,{"tag":"vdef","id":0,"source":[1]}],[2,{"tag":"fcall","id":2,"name":"<-","onlyBuiltin":true,"args":[{"nodeId":0,"type":32},{"nodeId":1,"type":32}],"origin":["builtin:assign"]}],[3,{"tag":"use","id":3}],[4,{"tag":"value","id":4}],[5,{"tag":"fcall","id":5,"name":"+","onlyBuiltin":true,"args":[{"nodeId":3,"type":32},{"nodeId":4,"type":32}],"origin":["builtin:d"]}]],"edgeInformation":[[2,[[1,{"types":65}],[0,{"types":72}],["built-in:<-",{"types":5}]]],[0,[[1,{"types":2}],[2,{"types":2}]]],[3,[[0,{"types":1}]]],[5,[[3,{"types":65}],[4,{"types":65}],["built-in:+",{"types":5}]]]],"_unknownSideEffects":[]},"entryPoint":2,"exitPoints":[{"type":0,"nodeId":5}],"hooks":[],".meta":{"timing":0}}}}
    4. request-slice (request)
      Show Details

      Of course, the second slice criterion 2:1 is redundant for the input, as they refer to the same variable. It is only for demonstration purposes.

      {
  "type": "request-slice",
  "id": "2",
  "filetoken": "x",
  "criterion": [
    "2@x",
    "2:1"
  ]
}
    5. response-slice (response)
      Show Details

      The results field of the response contains two keys of importance:

      • slice: which contains the result of the slicing (e.g., the ids included in the slice in result).
      • reconstruct: contains the reconstructed code, as well as additional meta information. The automatically selected lines correspond to additional filters (e.g., magic comments) which force the unconditiojnal inclusion of certain elements.
      {
  "type": "response-slice",
  "id": "2",
  "results": {}
}

    The complete round-trip took 6.5 ms (including time required to validate the messages, start, and stop the internal mock server).

    The semantics of the error message are similar. If, for example, the slicing criterion is invalid or the filetoken is unknown, flowR will respond with an error.

     

    Magic Comments

    Within a document that is to be sliced, you can use magic comments to influence the slicing process:

    • # flowr@include_next_line will cause the next line to be included, independent of if it is important for the slice.
    • # flowr@include_this_line will cause the current line to be included, independent of if it is important for the slice.
    • # flowr@include_start and # flowr@include_end will cause the lines between them to be included, independent of if they are important for the slice. These magic comments can be nested but should appear on a separate line.
    Message schema (request-slice)

    For the definition of the hello message, please see it's implementation at ./src/cli/repl/server/messages/message-slice.ts.

    • (object)
      • type [required] The type of the message. (string) Only allows: 'request-slice'
      • id [optional] The id of the message, if you passed one in the request. (string)
      • filetoken [required] The filetoken of the file to slice must be the same as with the analysis request. (string)
      • criterion [required] The slicing criteria to use. (array) Valid item types:
        • (string)
      • direction The direction to slice in. Defaults to backward slicing if unset. (string) Only allows: 'backward', 'forward'
    Message schema (response-slice)

    For the definition of the hello message, please see it's implementation at ./src/cli/repl/server/messages/message-slice.ts.

    • The response to a slice request. (object)
      • type [required] The type of the message. (string) Only allows: 'response-slice'
      • id [optional] The id of the message, if you passed one in the request. (string)
      • results [required] The results of the slice (one field per step slicing step). (object)
  • REPL Message (request-repl-execution)
    View Details. Access the read evaluate print loop of flowR. 
    sequenceDiagram
    autonumber
    participant Client
    participant Server

    
    Client->>+Server: request-repl-execution

    alt
        Server-->>Client: error
    else

    loop
        Server-->>Client: response-repl-execution
    end
        Server-->>Client: end-repl-execution

    end

    deactivate  Server
    Loading

    [!WARNING] To execute arbitrary R commands with a request, the server has to be started explicitly with --r-session-access. Please be aware that this introduces a security risk.

    The REPL execution message allows to send a REPL command to receive its output. For more on the REPL, see the introduction, or the description below. You only have to pass the command you want to execute in the expression field. Furthermore, you can set the ansi field to true if you are interested in output formatted using ANSI escape codes. We strongly recommend you to make use of the id field to link answers with requests as you can theoretically request the execution of multiple scripts at the same time, which then happens in parallel.

    [!WARNING] There is currently no automatic sandboxing or safeguarding against such requests. They simply execute the respective R code on your machine. Please be very careful (and do not use --r-session-access if you are unsure).

    The answer on such a request is different from the other messages as the response-repl-execution message may be sent multiple times. This allows to better handle requests that require more time but already output intermediate results. You can detect the end of the execution by receiving the end-repl-execution message.

    The semantics of the error message are similar to that of the other messages.

    Example of the request-slice Message

    Note: even though we pretty-print these messages, they are sent as a single line, ending with a newline.

    The following lists all messages that were sent and received in case you want to reproduce the scenario:

    1. hello (response)
      Show Details

      The first message is always a hello message.

      {
  "type": "hello",
  "clientName": "client-0",
  "versions": {
    "flowr": "2.10.7",
    "r": "4.5.0",
    "engine": "r-shell"
  }
}
    2. request-repl-execution (request)
      Show Details 
      {
  "type": "request-repl-execution",
  "id": "1",
  "expression": ":help"
}
    3. response-repl-execution (response)
      Show Details

      The stream field (either stdout or stderr) informs you of the output's origin: either the standard output or the standard error channel. After this message follows the end marker.

      Pretty-Printed Result 
      
If enabled ('--r-session-access' and if using the 'r-shell' engine), you can just enter R expressions which get evaluated right away:
R> 1 + 1
[1] 2

Besides that, you can use the following commands. The scripts can accept further arguments. In general, those ending with [*] may be called with and without the star. 
There are the following basic commands:
  :controlflow[*]     Get mermaid code for the control-flow graph of R code, start with 'file://' to indicate a file (star: Returns the URL to mermaid.live) (aliases: :cfg, :cf)
  :controlflowbb[*]   Get mermaid code for the control-flow graph with basic blocks, start with 'file://' to indicate a file (star: Returns the URL to mermaid.live) (aliases: :cfgb, :cfb)
  :dataflow[*]        Get mermaid code for the dataflow graph, start with 'file://' to indicate a file (star: Returns the URL to mermaid.live) (aliases: :d, :df)
  :dataflowascii      Returns an ASCII representation of the dataflow graph (alias: :df!)
  :dataflowsilent     Just calculates the DFG, but only prints summary info (aliases: :d#, :df#)
  :dataflowsimple[*]  Get mermaid code for the simplified dataflow graph, start with 'file://' to indicate a file (star: Returns the URL to mermaid.live) (aliases: :ds, :dfs)
  :execute            Execute the given code as R code. This requires the `--r-session-access` flag to be set and requires the r-shell engine. (aliases: :e, :r)
  :help               Show help information (aliases: :h, :?)
  :normalize#         Returns summarization stats for the normalized AST (alias: :n#)
  :normalize[*]       Get mermaid code for the normalized AST of R code, start with 'file://' to indicate a file (star: Returns the URL to mermaid.live) (alias: :n)
  :parse              Prints ASCII Art of the parsed, unmodified AST, start with 'file://' to indicate a file (alias: :p)
  :query[*]           Query the given R code, start with 'file://' to indicate a file. The query is to be a valid query in json format (use 'help' to get more information). (star: Similar to query, but returns the output in json format.)
  :quit               End the repl (aliases: :q, :exit)
  :version            Prints the version of flowR as well as the current version of R

Furthermore, you can directly call the following scripts which accept arguments. If you are unsure, try to add --help after the command.
  :benchmark          Benchmark the static backwards slicer
  :export-quads       Export quads of the normalized AST of a given R code file
  :slicer             Static backwards executable slicer for R
  :stats              Generate usage Statistics for R scripts
  :summarizer         Summarize the results of the benchmark

You can combine commands by separating them with a semicolon ;.

      {
  "type": "response-repl-execution",
  "id": "1",
  "result": "\nIf enabled ('--r-session-access' and if using the 'r-shell' engine), you can just enter R expressions which get evaluated right away:\nR> 1 + 1\n[1] 2\n\nBesides that, you can use the following commands. The scripts can accept further arguments. In general, those ending with [*] may be called with and without the star. \nThere are the following basic commands:\n  :controlflow[*]     Get mermaid code for the control-flow graph of R code, start with 'file://' to indicate a file (star: Returns the URL to mermaid.live) (aliases: :cfg, :cf)\n  :controlflowbb[*]   Get mermaid code for the control-flow graph with basic blocks, start with 'file://' to indicate a file (star: Returns the URL to mermaid.live) (aliases: :cfgb, :cfb)\n  :dataflow[*]        Get mermaid code for the dataflow graph, start with 'file://' to indicate a file (star: Returns the URL to mermaid.live) (aliases: :d, :df)\n  :dataflowascii      Returns an ASCII representation of the dataflow graph (alias: :df!)\n  :dataflowsilent     Just calculates the DFG, but only prints summary info (aliases: :d#, :df#)\n  :dataflowsimple[*]  Get mermaid code for the simplified dataflow graph, start with 'file://' to indicate a file (star: Returns the URL to mermaid.live) (aliases: :ds, :dfs)\n  :execute            Execute the given code as R code. This requires the `--r-session-access` flag to be set and requires the r-shell engine. (aliases: :e, :r)\n  :help               Show help information (aliases: :h, :?)\n  :normalize#         Returns summarization stats for the normalized AST (alias: :n#)\n  :normalize[*]       Get mermaid code for the normalized AST of R code, start with 'file://' to indicate a file (star: Returns the URL to mermaid.live) (alias: :n)\n  :parse              Prints ASCII Art of the parsed, unmodified AST, start with 'file://' to indicate a file (alias: :p)\n  :query[*]           Query the given R code, start with 'file://' to indicate a file. The query is to be a valid query in json format (use 'help' to get more information). (star: Similar to query, but returns the output in json format.)\n  :quit               End the repl (aliases: :q, :exit)\n  :version            Prints the version of flowR as well as the current version of R\n\nFurthermore, you can directly call the following scripts which accept arguments. If you are unsure, try to add --help after the command.\n  :benchmark          Benchmark the static backwards slicer\n  :export-quads       Export quads of the normalized AST of a given R code file\n  :slicer             Static backwards executable slicer for R\n  :stats              Generate usage Statistics for R scripts\n  :summarizer         Summarize the results of the benchmark\n\nYou can combine commands by separating them with a semicolon ;.\n",
  "stream": "stdout"
}
    4. end-repl-execution (response)
      Show Details 
      {
  "type": "end-repl-execution",
  "id": "1"
}

    The complete round-trip took 1.0 ms (including time required to validate the messages, start, and stop the internal mock server).

    Message schema (request-repl-execution)

    For the definition of the hello message, please see it's implementation at ./src/cli/repl/server/messages/message-repl.ts.

    • (object)
      • type [required] The type of the message. (string) Only allows: 'request-repl-execution'
      • id [optional] The id of the message, will be the same for the request. (string)
      • ansi [optional] Should ansi formatting be enabled for the response? Is false by default. (boolean)
      • expression [required] The expression to execute. (string)
    Message schema (response-repl-execution)

    For the definition of the hello message, please see it's implementation at ./src/cli/repl/server/messages/message-repl.ts.

    • (object)
      • type [required] The type of the message. (string) Only allows: 'response-repl-execution'
      • id [optional] The id of the message, will be the same for the request. (string)
      • stream [required] The stream the message is from. (string) Only allows: 'stdout', 'stderr'
      • result [required] The output of the execution. (string)
    Message schema (end-repl-execution)

    For the definition of the hello message, please see it's implementation at ./src/cli/repl/server/messages/message-repl.ts.

    • (object)
      • type [required] The type of the message. (string) Only allows: 'end-repl-execution'
      • id [optional] The id of the message, will be the same for the request. (string)
  • Query Message (request-query)
    View Details. Query an analysis result for specific information. 
    sequenceDiagram
    autonumber
    participant Client
    participant Server

    
    Client->>+Server: request-query

    alt
        Server-->>Client: response-query
    else
        Server-->>Client: error
    end
    deactivate  Server
    Loading

    To send queries, you have to send an analysis request first. The filetoken you assign is of use here as you can re-use it to repeatedly query the same file. This message provides direct access to flowR's Query API. Please consult the Query API documentation for more information.

    Example of the request-query Message

    Note: even though we pretty-print these messages, they are sent as a single line, ending with a newline.

    The following lists all messages that were sent and received in case you want to reproduce the scenario:

    1. hello (response)
      Show Details

      The first message is always a hello message.

      {
  "type": "hello",
  "clientName": "client-0",
  "versions": {
    "flowr": "2.10.7",
    "r": "4.5.0",
    "engine": "r-shell"
  }
}
    2. request-file-analysis (request)
      Show Details

      Let's assume you want to query the following script:

      library(ggplot)
library(dplyr)
library(readr)

# read data with read_csv
data <- read_csv('data.csv')
data2 <- read_csv('data2.csv')

m <- mean(data$x) 
print(m)

data %>%
	ggplot(aes(x = x, y = y)) +
	geom_point()
	
plot(data2$x, data2$y)
points(data2$x, data2$y)
	
print(mean(data2$k))

      .

      For this we first request the analysis, using a dummy filetoken of x to slice the file in the next request.

      {
  "type": "request-file-analysis",
  "id": "1",
  "filetoken": "x",
  "content": "library(ggplot)\nlibrary(dplyr)\nlibrary(readr)\n\n# read data with read_csv\ndata <- read_csv('data.csv')\ndata2 <- read_csv('data2.csv')\n\nm <- mean(data$x) \nprint(m)\n\ndata %>%\n\tggplot(aes(x = x, y = y)) +\n\tgeom_point()\n\t\nplot(data2$x, data2$y)\npoints(data2$x, data2$y)\n\t\nprint(mean(data2$k))"
}
    3. response-file-analysis (response)
      Show Details

      See above for the general structure of the response.

      As the code is pretty long, we inhibit pretty printing and syntax highlighting (JSON, hiding built-in):

      {"type":"response-file-analysis","format":"json","id":"1","results":{"parse":{"files":[{"parsed":"[1,1,1,15,10,0,\"expr\",false,\"library(ggplot)\"],[1,1,1,7,1,3,\"SYMBOL_FUNCTION_CALL\",true,\"library\"],[1,1,1,7,3,10,\"expr\",false,\"library\"],[1,8,1,8,2,10,\"'('\",true,\"(\"],[1,9,1,14,4,6,\"SYMBOL\",true,\"ggplot\"],[1,9,1,14,6,10,\"expr\",false,\"ggplot\"],[1,15,1,15,5,10,\"')'\",true,\")\"],[2,1,2,14,23,0,\"expr\",false,\"library(dplyr)\"],[2,1,2,7,14,16,\"SYMBOL_FUNCTION_CALL\",true,\"library\"],[2,1,2,7,16,23,\"expr\",false,\"library\"],[2,8,2,8,15,23,\"'('\",true,\"(\"],[2,9,2,13,17,19,\"SYMBOL\",true,\"dplyr\"],[2,9,2,13,19,23,\"expr\",false,\"dplyr\"],[2,14,2,14,18,23,\"')'\",true,\")\"],[3,1,3,14,36,0,\"expr\",false,\"library(readr)\"],[3,1,3,7,27,29,\"SYMBOL_FUNCTION_CALL\",true,\"library\"],[3,1,3,7,29,36,\"expr\",false,\"library\"],[3,8,3,8,28,36,\"'('\",true,\"(\"],[3,9,3,13,30,32,\"SYMBOL\",true,\"readr\"],[3,9,3,13,32,36,\"expr\",false,\"readr\"],[3,14,3,14,31,36,\"')'\",true,\")\"],[5,1,5,25,42,-59,\"COMMENT\",true,\"# read data with read_csv\"],[6,1,6,28,59,0,\"expr\",false,\"data <- read_csv('data.csv')\"],[6,1,6,4,45,47,\"SYMBOL\",true,\"data\"],[6,1,6,4,47,59,\"expr\",false,\"data\"],[6,6,6,7,46,59,\"LEFT_ASSIGN\",true,\"<-\"],[6,9,6,28,57,59,\"expr\",false,\"read_csv('data.csv')\"],[6,9,6,16,48,50,\"SYMBOL_FUNCTION_CALL\",true,\"read_csv\"],[6,9,6,16,50,57,\"expr\",false,\"read_csv\"],[6,17,6,17,49,57,\"'('\",true,\"(\"],[6,18,6,27,51,53,\"STR_CONST\",true,\"'data.csv'\"],[6,18,6,27,53,57,\"expr\",false,\"'data.csv'\"],[6,28,6,28,52,57,\"')'\",true,\")\"],[7,1,7,30,76,0,\"expr\",false,\"data2 <- read_csv('data2.csv')\"],[7,1,7,5,62,64,\"SYMBOL\",true,\"data2\"],[7,1,7,5,64,76,\"expr\",false,\"data2\"],[7,7,7,8,63,76,\"LEFT_ASSIGN\",true,\"<-\"],[7,10,7,30,74,76,\"expr\",false,\"read_csv('data2.csv')\"],[7,10,7,17,65,67,\"SYMBOL_FUNCTION_CALL\",true,\"read_csv\"],[7,10,7,17,67,74,\"expr\",false,\"read_csv\"],[7,18,7,18,66,74,\"'('\",true,\"(\"],[7,19,7,29,68,70,\"STR_CONST\",true,\"'data2.csv'\"],[7,19,7,29,70,74,\"expr\",false,\"'data2.csv'\"],[7,30,7,30,69,74,\"')'\",true,\")\"],[9,1,9,17,98,0,\"expr\",false,\"m <- mean(data$x)\"],[9,1,9,1,81,83,\"SYMBOL\",true,\"m\"],[9,1,9,1,83,98,\"expr\",false,\"m\"],[9,3,9,4,82,98,\"LEFT_ASSIGN\",true,\"<-\"],[9,6,9,17,96,98,\"expr\",false,\"mean(data$x)\"],[9,6,9,9,84,86,\"SYMBOL_FUNCTION_CALL\",true,\"mean\"],[9,6,9,9,86,96,\"expr\",false,\"mean\"],[9,10,9,10,85,96,\"'('\",true,\"(\"],[9,11,9,16,91,96,\"expr\",false,\"data$x\"],[9,11,9,14,87,89,\"SYMBOL\",true,\"data\"],[9,11,9,14,89,91,\"expr\",false,\"data\"],[9,15,9,15,88,91,\"'$'\",true,\"$\"],[9,16,9,16,90,91,\"SYMBOL\",true,\"x\"],[9,17,9,17,92,96,\"')'\",true,\")\"],[10,1,10,8,110,0,\"expr\",false,\"print(m)\"],[10,1,10,5,101,103,\"SYMBOL_FUNCTION_CALL\",true,\"print\"],[10,1,10,5,103,110,\"expr\",false,\"print\"],[10,6,10,6,102,110,\"'('\",true,\"(\"],[10,7,10,7,104,106,\"SYMBOL\",true,\"m\"],[10,7,10,7,106,110,\"expr\",false,\"m\"],[10,8,10,8,105,110,\"')'\",true,\")\"],[12,1,14,20,158,0,\"expr\",false,\"data %>%\\n\\tggplot(aes(x = x, y = y)) +\\n\\tgeom_point()\"],[12,1,13,33,149,158,\"expr\",false,\"data %>%\\n\\tggplot(aes(x = x, y = y))\"],[12,1,12,4,116,118,\"SYMBOL\",true,\"data\"],[12,1,12,4,118,149,\"expr\",false,\"data\"],[12,6,12,8,117,149,\"SPECIAL\",true,\"%>%\"],[13,9,13,33,147,149,\"expr\",false,\"ggplot(aes(x = x, y = y))\"],[13,9,13,14,120,122,\"SYMBOL_FUNCTION_CALL\",true,\"ggplot\"],[13,9,13,14,122,147,\"expr\",false,\"ggplot\"],[13,15,13,15,121,147,\"'('\",true,\"(\"],[13,16,13,32,142,147,\"expr\",false,\"aes(x = x, y = 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    4. request-query (request)
      Show Details 
      {
  "type": "request-query",
  "id": "2",
  "filetoken": "x",
  "query": [
    {
      "type": "compound",
      "query": "call-context",
      "commonArguments": {
        "kind": "visualize",
        "subkind": "text",
        "callTargets": "global"
      },
      "arguments": [
        {
          "callName": "^mean$"
        },
        {
          "callName": "^print$",
          "callTargets": "local"
        }
      ]
    }
  ]
}
    5. response-query (response)
      Show Details 
      {
  "type": "response-query",
  "id": "2",
  "results": {
    "call-context": {
      ".meta": {
        "timing": 0
      },
      "kinds": {
        "visualize": {
          "subkinds": {
            "text": [
              {
                "id": 31,
                "name": "mean",
                "calls": [
                  "built-in"
                ]
              },
              {
                "id": 87,
                "name": "mean",
                "calls": [
                  "built-in"
                ]
              }
            ]
          }
        }
      }
    },
    ".meta": {
      "timing": 0
    }
  }
}

    The complete round-trip took 20.3 ms (including time required to validate the messages, start, and stop the internal mock server).

    Message schema (request-query)

    For the definition of the hello message, please see it's implementation at ./src/cli/repl/server/messages/message-query.ts.

    • Request a query to be run on the file analysis information. (object)
      • type [required] The type of the message. (string) Only allows: 'request-query'
      • id [optional] If you give the id, the response will be sent to the client with the same id. (string)
      • filetoken [required] The filetoken of the file/data retrieved from the analysis request. (string)
      • query [required] The query to run on the file analysis information. (array) Valid item types:
        • A virtual or an active query! (alternatives)
          • Supported queries (alternatives)
            • Call context query used to find calls in the dataflow graph (object)
              • type [required] The type of the query. (string) Only allows: 'call-context'
              • callName [required] Regex regarding the function name! (string)
              • callNameExact [optional] Should we automatically add the ^ and $ anchors to the regex to make it an exact match? (boolean)
              • kind [optional] The kind of the call, this can be used to group calls together (e.g., linking plot to visualize). Defaults to . (string)
              • subkind [optional] The subkind of the call, this can be used to uniquely identify the respective call type when grouping the output (e.g., the normalized name, linking ggplot to plot). Defaults to . (string)
              • callTargets [optional] Call targets the function may have. This defaults to any. Request this specifically to gain all call targets we can resolve. (string) Only allows: 'global', 'must-include-global', 'local', 'must-include-local', 'any'
              • ignoreParameterValues [optional] Should we ignore default values for parameters in the results? (boolean)
              • includeAliases [optional] Consider a case like f <- function_of_interest, do you want uses of f to be included in the results? (boolean)
              • fileFilter [optional] Filter that, when set, a node's file attribute must match to be considered (object)
                • fileFilter [required] Regex that a node's file attribute must match to be considered (string)
                • includeUndefinedFiles [optional] If fileFilter is set, but a nodes file attribute is undefined, should we include it in the results? Defaults to true. (boolean)
              • linkTo [optional] Links the current call to the last call of the given kind. This way, you can link a call like points to the latest graphics plot etc. (alternatives)
                • (alternatives)
                  • Links the current call to the last call of the given kind. This way, you can link a call like points to the latest graphics plot etc. (object)
                    • type [required] The type of the linkTo sub-query. (string) Only allows: 'link-to-last-call'
                    • callName [required] Test regarding the function name of the last call. Similar to callName, strings are interpreted as a regular expression, and string arrays are checked for containment. (alternatives)
                    • (string)
                    • (array) Valid item types:
                    • (string)
                    • ignoreIf [optional] Should we ignore this (source) call? Currently, there is no well working serialization for this. (function)
                    • cascadeIf [optional] Should we continue searching after the link was created? Currently, there is no well working serialization for this. (function)
                    • attachLinkInfo [optional] Additional information to attach to the link. (object)
                  • Allows to link nested calls to their parent calls. This way, you can link an assert_equal call to the parent test_that call etc. (object)
                    • type [required] The type of the linkTo sub-query. (string) Only allows: 'link-to-nested-call'
                    • callName [required] Test regarding the function name of the last call. Similar to callName, strings are interpreted as a regular expression, and string arrays are checked for containment. (alternatives)
                    • (string)
                    • (array) Valid item types:
                    • (string)
                    • ignoreIf [optional] Should we ignore this (source) call? Currently, there is no well working serialization for this. (function)
                    • attachLinkInfo [optional] Additional information to attach to the link. (object)
                • (array) Valid item types:
                  • (alternatives)
                    • Links the current call to the last call of the given kind. This way, you can link a call like points to the latest graphics plot etc. (object)
                    • type [required] The type of the linkTo sub-query. (string) Only allows: 'link-to-last-call'
                    • callName [required] Test regarding the function name of the last call. Similar to callName, strings are interpreted as a regular expression, and string arrays are checked for containment. (alternatives)
                    • (string)
                    • (array) Valid item types:
                    • (string)
                    • ignoreIf [optional] Should we ignore this (source) call? Currently, there is no well working serialization for this. (function)
                    • cascadeIf [optional] Should we continue searching after the link was created? Currently, there is no well working serialization for this. (function)
                    • attachLinkInfo [optional] Additional information to attach to the link. (object)
                    • Allows to link nested calls to their parent calls. This way, you can link an assert_equal call to the parent test_that call etc. (object)
                    • type [required] The type of the linkTo sub-query. (string) Only allows: 'link-to-nested-call'
                    • callName [required] Test regarding the function name of the last call. Similar to callName, strings are interpreted as a regular expression, and string arrays are checked for containment. (alternatives)
                    • (string)
                    • (array) Valid item types:
                    • (string)
                    • ignoreIf [optional] Should we ignore this (source) call? Currently, there is no well working serialization for this. (function)
                    • attachLinkInfo [optional] Additional information to attach to the link. (object)
            • The config query retrieves the current configuration of the flowR instance and optionally also updates it. (object)
              • type [required] The type of the query. (string) Only allows: 'config'
              • update [optional] An optional partial configuration to update the current configuration with before returning it. Only the provided fields will be updated, all other fields will remain unchanged. (object)
            • The control flow query provides the control flow graph of the analysis, optionally simplified. (object)
              • type [required] The type of the query. (string) Only allows: 'control-flow'
              • config [optional] Optional configuration for the control flow query. (object)
                • simplificationPasses The simplification passes to apply to the control flow graph. If unset, the default simplification order will be used. (array) Valid item types:
                  • (string) Only allows: 'unique-cf-sets', 'analyze-dead-code', 'remove-dead-code', 'to-basic-blocks'
            • A query to compute the Call Graph of the analyzed project. (object)
              • type [required] The type of the query. (string) Only allows: 'call-graph'
            • The dataflow query simply returns the dataflow graph, there is no need to pass it multiple times! (object)
              • type [required] The type of the query. (string) Only allows: 'dataflow'
            • Either returns all function definitions alongside whether they are recursive, or just those matching the filters. (object)
              • type [required] The type of the query. (string) Only allows: 'does-call'
              • queryId [optional] An optional unique identifier for this query, to identify it in the output. (string)
              • call The function from which calls are being made. This is a slicing criterion that resolves to a function definition node. (string)
              • calls [required] The constraints on which functions are being called. This can be a combination of name-based or id-based constraints, combined with logical operators (and, or, one-of). (object)
            • The dataflow-lens query returns a simplified view on the dataflow graph (object)
              • type [required] The type of the query. (string) Only allows: 'dataflow-lens'
            • The df-shape query retrieves information on the shape of dataframes (object)
              • type [required] The type of the query. (string) Only allows: 'df-shape'
              • criterion [optional] The slicing criterion of the node to get the dataframe shape for. (string)
            • The file query finds files in the project based on their roles and path patterns. (object)
              • type [required] The type of the query. (string) Only allows: 'files'
              • roles [optional] Optional roles of the files to query. If not provided, all roles are considered. (array) Valid item types:
                • (string) Only allows: 'description', 'namespace', 'news', 'vignette', 'test', 'data', 'license', 'source', 'other'
              • matchesPathRegex [optional] An optional regular expression to match the file paths against. (string)
            • The id map query retrieves the id map from the normalized AST. (object)
              • type [required] The type of the query. (string) Only allows: 'id-map'
            • The normalized AST query simply returns the normalized AST, there is no need to pass it multiple times! (object)
              • type [required] The type of the query. (string) Only allows: 'normalized-ast'
            • The cluster query calculates and returns all clusters in the dataflow graph. (object)
              • type [required] The type of the query. (string) Only allows: 'dataflow-cluster'
            • Slice query used to slice the dataflow graph (object)
              • type [required] The type of the query. (string) Only allows: 'static-slice'
              • criteria [required] The slicing criteria to use. (array) Valid item types:
                • (string)
              • noReconstruction [optional] Do not reconstruct the slice into readable code. (boolean)
              • noMagicComments [optional] Should the magic comments (force-including lines within the slice) be ignored? (boolean)
              • direction [optional] The direction to slice in. Defaults to backward slicing if unset. (string) Only allows: 'backward', 'forward'
            • Provenance query definition (object)
              • type [required] The type of the query. (string) Only allows: 'provenance'
              • criterion [required] The slicing criterion to use. (string)
              • restrictFdef [required] Whether to stop on fdef boundaries. (boolean)
            • Input Sources query definition (object)
              • type [required] The type of the query. (string) Only allows: 'input-sources'
              • criterion [required] The slicing criterion to use. (string)
              • config [optional] (object)
                • pure [optional] Deterministic/pure functions: functions that preserve constantness of their inputs (e.g., arithmetic, parse). (array) Valid item types:
                  • (string)
                • file [optional] Functions that read from the filesystem and produce data (e.g., read.csv, readRDS). (array) Valid item types:
                  • (string)
                • net [optional] Functions that fetch data from the network (e.g., download.file, url connections). (array) Valid item types:
                  • (string)
                • rand [optional] Functions that produce randomness (e.g., runif, rnorm). (array) Valid item types:
                  • (string)
                • system [optional] Functions that execute system commands (e.g., system, system2, shell, pipe). (array) Valid item types:
                  • (string)
                • ffi [optional] Functions that call native code via the R FFI (.C, .Call, .Fortran, .External, dyn.load). (array) Valid item types:
                  • (string)
                • lang [optional] Functions that produce language objects (e.g., substitute, quote, bquote, expression). (array) Valid item types:
                  • (string)
                • options [optional] Functions that access or set global options (e.g., options, getOption). (array) Valid item types:
                  • (string)
                • user [optional] Functions that read interactive user input (e.g., file.choose, readline, menu, askYesNo). (array) Valid item types:
                  • (string)
            • The dependencies query retrieves and returns the set of all dependencies in the dataflow graph, which includes libraries, sourced files, read data, and written data. (object)
              • type [required] The type of the query. (string) Only allows: 'dependencies'
              • ignoreDefaultFunctions [optional] Should the set of functions that are detected by default be ignored/skipped? Defaults to false. (boolean)
              • libraryFunctions [optional] The set of library functions to search for. (array) Valid item types:
                • (object)
                  • name [required] The name of the library function. (string)
                  • package [optional] The package name of the library function (string)
                  • argIdx [optional] The index of the argument that contains the library name. (number)
                  • argName [optional] The name of the argument that contains the library name. (string)
              • sourceFunctions [optional] The set of source functions to search for. (array) Valid item types:
                • (object)
                  • name [required] The name of the library function. (string)
                  • package [optional] The package name of the library function (string)
                  • argIdx [optional] The index of the argument that contains the library name. (number)
                  • argName [optional] The name of the argument that contains the library name. (string)
              • readFunctions [optional] The set of read functions to search for. (array) Valid item types:
                • (object)
                  • name [required] The name of the library function. (string)
                  • package [optional] The package name of the library function (string)
                  • argIdx [optional] The index of the argument that contains the library name. (number)
                  • argName [optional] The name of the argument that contains the library name. (string)
              • writeFunctions [optional] The set of write functions to search for. (array) Valid item types:
                • (object)
                  • name [required] The name of the library function. (string)
                  • package [optional] The package name of the library function (string)
                  • argIdx [optional] The index of the argument that contains the library name. (number)
                  • argName [optional] The name of the argument that contains the library name. (string)
              • visualizeFunctions [optional] The set of visualize functions to search for. (array) Valid item types:
                • (object)
                  • name [required] The name of the library function. (string)
                  • package [optional] The package name of the library function (string)
                  • argIdx [optional] The index of the argument that contains the library name. (number)
                  • argName [optional] The name of the argument that contains the library name. (string)
              • testFunctions [optional] The set of test functions to search for. (array) Valid item types:
                • (object)
                  • name [required] The name of the library function. (string)
                  • package [optional] The package name of the library function (string)
                  • argIdx [optional] The index of the argument that contains the library name. (number)
                  • argName [optional] The name of the argument that contains the library name. (string)
              • enabledCategories [optional] A set of flags that determines what types of dependencies are searched for. If unset, all dependency types are searched for. (array) Valid item types:
                • (string)
              • additionalCategories [optional] A set of additional, user-supplied dependency categories, whose results will be included in the query return value. (object) Only allows: '[object Object]'
            • The location map query retrieves the location of every id in the ast. (object)
              • type [required] The type of the query. (string) Only allows: 'location-map'
              • ids [optional] Optional list of ids to filter the results by. (array) Valid item types:
                • (string)
            • The search query searches the normalized AST and dataflow graph for nodes that match the given search query. (object)
              • type [required] The type of the query. (string) Only allows: 'search'
              • search [required] The search query to execute. (object)
            • Happens-Before tracks whether a always happens before b. (object)
              • type [required] The type of the query. (string) Only allows: 'happens-before'
              • a [required] The first slicing criterion. (string)
              • b [required] The second slicing criterion. (string)
            • Query to inspect which functions throw exceptions. (object)
              • type [required] The type of the query. (string) Only allows: 'inspect-exception'
              • filter [optional] If given, only function definitions that match one of the given slicing criteria are considered. Each criterion can be either line:column, line@variable-name, or $id, where the latter directly specifies the node id of the function definition to be considered. (array) Valid item types:
                • [required] (string)
            • Either returns all function definitions alongside whether they are higher-order functions, or just those matching the filters. (object)
              • type [required] The type of the query. (string) Only allows: 'inspect-higher-order'
              • filter [optional] If given, only function definitions that match one of the given slicing criteria are considered. Each criterion can be either line:column, line@variable-name, or $id, where the latter directly specifies the node id of the function definition to be considered. (array) Valid item types:
                • [required] (string)
            • Either returns all function definitions alongside whether they are recursive, or just those matching the filters. (object)
              • type [required] The type of the query. (string) Only allows: 'inspect-recursion'
              • filter [optional] If given, only function definitions that match one of the given slicing criteria are considered. Each criterion can be either line:column, line@variable-name, or $id, where the latter directly specifies the node id of the function definition to be considered. (array) Valid item types:
                • [required] (string)
            • The resolve value query used to get definitions of an identifier (object)
              • type [required] The type of the query. (string) Only allows: 'resolve-value'
              • criteria [required] The slicing criteria to use. (array) Valid item types:
                • (string)
            • The project query provides information on the analyzed project. (object)
              • type [required] The type of the query. (string) Only allows: 'project'
              • withDf [optional] Whether to include Dataflow information in the result. (boolean)
            • The resolve value query used to get definitions of an identifier (object)
              • type [required] The type of the query. (string) Only allows: 'origin'
              • criterion [required] The slicing criteria to use (string)
            • The linter query lints for the given set of rules and returns the result. (object)
              • type [required] The type of the query. (string) Only allows: 'linter'
              • rules The rules to lint for. If unset, all rules will be included. (array) Valid item types:
                • (string) Only allows: 'deprecated-functions', 'file-path-validity', 'seeded-randomness', 'absolute-file-paths', 'unused-definitions', 'naming-convention', 'network-functions', 'dataframe-access-validation', 'dead-code', 'useless-loop', 'problematic-inputs', 'stop-call', 'roxygen-arguments'
                • (object)
                  • name [required] (string) Only allows: 'deprecated-functions', 'file-path-validity', 'seeded-randomness', 'absolute-file-paths', 'unused-definitions', 'naming-convention', 'network-functions', 'dataframe-access-validation', 'dead-code', 'useless-loop', 'problematic-inputs', 'stop-call', 'roxygen-arguments'
                  • config (object)
          • Virtual queries (used for structure) (alternatives)
            • Compound query used to combine queries of the same type (object)
              • type [required] The type of the query. (string) Only allows: 'compound'
              • query [required] The query to run on the file analysis information. (string)
              • commonArguments [required] Common arguments for all queries. (object)
              • arguments [required] Arguments for each query. (array) Valid item types:
                • (object)
    Message schema (response-query)

    For the definition of the hello message, please see it's implementation at ./src/cli/repl/server/messages/message-query.ts.

    • The response to a query request. (object)
      • type [required] (string) Only allows: 'response-query'
      • id [optional] The id of the message, will be the same for the request. (string)
      • results [required] The results of the query. (object)

📡 Ways of Connecting

If you are interested in clients that communicate with flowR, please check out the R adapter as well as the Visual Studio Code extension.

  1. Using Netcat
    Without Websocket

    Suppose, you want to launch the server using a docker container. Then, start the server by (forwarding the internal default port):

    docker run -p1042:1042 -it --rm eagleoutice/flowr --server

    Now, using a tool like netcat to connect:

    nc 127.0.0.1 1042

    Within the started session, type the following message (as a single line) and press enter to see the response:

    {"type":"request-file-analysis","content":"x <- 1","id":"1"}
  2. Using Python
    Without Websocket

    In Python, a similar process would look like this. After starting the server as with using netcat, you can use the following script to connect:

    import socket

with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
    s.connect(('127.0.0.1', 1042))
    print(s.recv(4096))  # for the hello message

    s.send(b'{"type":"request-file-analysis","content":"x <- 1","id":"1"}\n')

    print(s.recv(65536))  # for the response (please use a more sophisticated mechanism)

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