Package 'pkgmatch' reference manual

Title:	Find R Packages Matching Either Descriptions or Other R Packages
Description:	Find R packages matching either descriptions or other R packages.
Authors:	Mark Padgham [aut, cre] , Davis Vaughan [ctb]
Maintainer:	Mark Padgham <[email protected]>
License:	MIT + file LICENSE
Version:	0.4.2.007
Built:	2024-11-11 11:14:02 UTC
Source:	https://github.com/ropensci-review-tools/pkgmatch

Head method for 'pkgmatch' objects

Description

Head method for 'pkgmatch' objects

Usage

## S3 method for class 'pkgmatch'
head(x, n = 5L, ...)
## S3 method for class 'pkgmatch'
head(x, n = 5L, ...)

Arguments

`x`	Object for which head is to be printed
`n`	Number of rows of full `pkgmatch` object to be displayed
`...`	Not used

Value

A (usually) smaller version of x, with all columns displayed.

Examples

## Not run: 
input <- "Download open spatial data from NASA"
p <- pkgmatch_similar_pkgs (input)
p # Default print method, lists 5 best matching packages
head (p) # Shows first 5 rows of full `data.frame` object

## End(Not run)
## Not run: 
input <- "Download open spatial data from NASA"
p <- pkgmatch_similar_pkgs (input)
p # Default print method, lists 5 best matching packages
head (p) # Shows first 5 rows of full `data.frame` object

## End(Not run)

Check that ollama is installed with required models, and download if not.

Description

Check that ollama is installed with required models, and download if not.

Usage

ollama_check(sudo = is_docker_sudo())
ollama_check(sudo = is_docker_sudo())

Arguments

sudo

Set to TRUE if ollama is running in docker with sudo privileges.

Value

TRUE if everything works okay, otherwise the function will error before returning.

Examples

## Not run: 
chk <- ollama_check ()

## End(Not run)

## Not run: 
chk <- ollama_check ()

## End(Not run)

Calculate the "BM25" = "Best Matching 25" ranking function between text input and all R packages within specified corpus.

Description

See https://en.wikipedia.org/wiki/Okapi_BM25.

Usage

pkgmatch_bm25(input, txt = NULL, idfs = NULL, corpus = "ropensci")
pkgmatch_bm25(input, txt = NULL, idfs = NULL, corpus = "ropensci")

Arguments

`input`	A single character string to match against the second parameter of all input documents.
`txt`	An optional list of input documents. If not specified, data will be loaded as specified by the `corpus` parameter.
`idfs`	Optional list of Inverse Document Frequency weightings generated by the internal `bm25_idf` function. If not specified, values for the rOpenSci corpus will be automatically downloaded and used.
`corpus`	If `txt` is not specified, data for nominated corpus will be downloaded to local cache directory, and BM25 values calculated against those. Must be one of "ropensci", "ropensci-fns".

Value

A data.frame of package names and 'BM25' measures against text from whole packages both with and without function descriptions.

Examples

## Not run: 
input <- "Download open spatial data from NASA"
bm25 <- pkgmatch_bm25 (input)
# Or pre-load document-frequency weightings:
idfs <- pkgmatch_load_data ("idfs", fns = FALSE)
bm25 <- pkgmatch_bm25 (input, idfs = idfs)

## End(Not run)
## Not run: 
input <- "Download open spatial data from NASA"
bm25 <- pkgmatch_bm25 (input)
# Or pre-load document-frequency weightings:
idfs <- pkgmatch_load_data ("idfs", fns = FALSE)
bm25 <- pkgmatch_bm25 (input, idfs = idfs)

## End(Not run)

Calculate a "BM25" index from function-call frequencies between a local R package and all packages in specified corpus.

Description

Calculate a "BM25" index from function-call frequencies between a local R package and all packages in specified corpus.

Usage

pkgmatch_bm25_fn_calls(path, corpus = "ropensci")
pkgmatch_bm25_fn_calls(path, corpus = "ropensci")

Arguments

`path`	Local path to source code of an R package.
`corpus`	One of "ropensci" or "cran"

Value

A data.frame of two columns:

"package" Naming the package from the specified corpus;
bm25 The "BM25" index value for the nominated packages, where high values indicate greater overlap in term frequencies.

Examples

## Not run: 
u <- "https://cran.r-project.org/src/contrib/odbc_1.5.0.tar.gz"
path <- file.path (tempdir (), basename (u))
download.file (u, destfile = path)
bm25 <- pkgmatch_bm25_fn_calls (path)

## End(Not run)
## Not run: 
u <- "https://cran.r-project.org/src/contrib/odbc_1.5.0.tar.gz"
path <- file.path (tempdir (), basename (u))
download.file (u, destfile = path)
bm25 <- pkgmatch_bm25_fn_calls (path)

## End(Not run)

Open web pages for `pkgmatch` results

Description

Open web pages for pkgmatch results

Usage

pkgmatch_browse(p, n = NULL)
pkgmatch_browse(p, n = NULL)

Arguments

`p`	A `pkgmatch` object returned from either pkgmatch_similar_pkgs or pkgmatch_similar_fns.
`n`	Number of top-matching entries which should be opened. Defaults to the value passed to the main functions.

Value

(Invisibly) A named vector of integers, with 0 for all pages able to be successfully opened, and 1 otherwise.

Examples

## Not run: 
input <- "genomics and transcriptomics sequence data"
p <- pkgmatch_similar_pkgs (input)
pkgmatch_browse (p) # Open main package pages on rOpenSci
p <- pkgmatch_similar_pkgs (input, corpus = "cran")
pkgmatch_browse (p) # Open main package pages on CRAN
p <- pkgmatch_similar_fns (input)
pkgmatch_browse (p) # Open pages for best-matching rOpenSci functions

## End(Not run)
## Not run: 
input <- "genomics and transcriptomics sequence data"
p <- pkgmatch_similar_pkgs (input)
pkgmatch_browse (p) # Open main package pages on rOpenSci
p <- pkgmatch_similar_pkgs (input, corpus = "cran")
pkgmatch_browse (p) # Open main package pages on CRAN
p <- pkgmatch_similar_fns (input)
pkgmatch_browse (p) # Open pages for best-matching rOpenSci functions

## End(Not run)

Return raw language model ('LM') embeddings from package text and function definitions.

Description

The embeddings are currently retrieved from a local 'ollama' server running Jina AI embeddings.

Usage

pkgmatch_embeddings_from_pkgs(packages = NULL, functions_only = FALSE)
pkgmatch_embeddings_from_pkgs(packages = NULL, functions_only = FALSE)

Arguments

`packages`	A vector of local paths to directories containing R packages.
`functions_only`	If `TRUE`, calculate embeddings for function descriptions only. This is intended to generate a separate set of embeddings which can then be used to match plain-text queries of functions, rather than entire packages.

Value

If !functions_only, a list of two matrices of embeddings: one for the text descriptions of the specified packages, including individual descriptions of all package functions, and one for the entire code base. For functions_only, a single matrix of embeddings for all function descriptions.

Examples

## Not run: 
packages <- c ("cli", "fs")
emb_fns <- pkgmatch_embeddings_from_pkgs (packages, functions_only = TRUE)
colnames (emb_fns) # All functions of the two packages
emb_pkg <- pkgmatch_embeddings_from_pkgs (packages, functions_only = FALSE)
names (emb_pkg) # text_with_fns, text_wo_fns, code
colnames (emb_pkg$text_with_fns) # cli, fs

## End(Not run)
## Not run: 
packages <- c ("cli", "fs")
emb_fns <- pkgmatch_embeddings_from_pkgs (packages, functions_only = TRUE)
colnames (emb_fns) # All functions of the two packages
emb_pkg <- pkgmatch_embeddings_from_pkgs (packages, functions_only = FALSE)
names (emb_pkg) # text_with_fns, text_wo_fns, code
colnames (emb_pkg$text_with_fns) # cli, fs

## End(Not run)

Return raw language model ('LM') embeddings from a vector of text strings.

Description

The embeddings are currently retrieved from a local 'ollama' server running Jina AI embeddings.

Usage

pkgmatch_embeddings_from_text(input = NULL)
pkgmatch_embeddings_from_text(input = NULL)

Arguments

input

A vector of one or more text strings for which embeddings are to be extracted.

Value

A matrix of embeddings, one column for each input item, and a fixed number of rows defined by the embedding length of the language models.

Examples

## Not run: 
input <- "Download open spatial data from NASA"
emb <- pkgmatch_embeddings_from_text (input = input)

## End(Not run)
## Not run: 
input <- "Download open spatial data from NASA"
emb <- pkgmatch_embeddings_from_text (input = input)

## End(Not run)

Load embeddings generated by the pkgmatch_embeddings_from_pkgs function, either for all rOpenSci packages or, if `fns = TRUE`, all individual functions within those packages.

Description

Load embeddings generated by the pkgmatch_embeddings_from_pkgs function, either for all rOpenSci packages or, if fns = TRUE, all individual functions within those packages.

Usage

pkgmatch_load_data(
  what = "embeddings",
  corpus = "ropensci",
  fns = FALSE,
  raw = FALSE
)
pkgmatch_load_data(
  what = "embeddings",
  corpus = "ropensci",
  fns = FALSE,
  raw = FALSE
)

Arguments

`what`	One of: "embeddings" to load pre-generated embeddings; "idfs" to load pre-generated Inverse Document Frequency weightings; "functions" to load pre-generated frequency tables for text descriptions of function calls; or "calls" to load pre-generated frequency tables for actual function calls.
`corpus`	If `embeddings` or `idfs` parameters are not specified, they are automatically downloaded for the corpus specified by this parameter. Must be one of "ropensci" or "cran". The function will then return the most similar package from the specified corpus.
`fns`	If `FALSE` (default), load embeddings for all rOpenSci packages; otherwise load (considerably larger dataset of) embeddings for all individual functions.
`raw`	Only has effect of `what = "calls"`, in which case default of `FALSE` loads single Inverse Document Frequency table to entire corpus; otherwise if `TRUE`, loads raw function call counts for each package in corpus.

Value

The loaded data.frame.

Examples

## Not run: 
embeddings <- pkgmatch_load_data ("embeddings")
embeddings_fns <- pkgmatch_load_data ("embeddings", fns = TRUE)
idfs <- pkgmatch_load_data ("idfs")
idfs_fns <- pkgmatch_load_data ("idfs", fns = TRUE)

## End(Not run)
## Not run: 
embeddings <- pkgmatch_load_data ("embeddings")
embeddings_fns <- pkgmatch_load_data ("embeddings", fns = TRUE)
idfs <- pkgmatch_load_data ("idfs")
idfs_fns <- pkgmatch_load_data ("idfs", fns = TRUE)

## End(Not run)

Identify R functions best matching a given input string

Description

Function matching is only available for Only applies to functions from the corpus of rOpenSci packages.

Usage

pkgmatch_similar_fns(input, embeddings = NULL, n = 5L, browse = FALSE)
pkgmatch_similar_fns(input, embeddings = NULL, n = 5L, browse = FALSE)

Arguments

`input`	A text string.
`embeddings`	Large Language Model embeddings for all rOpenSci packages, generated from pkgmatch_embeddings_from_pkgs. If not provided, pre-generated embeddings will be downloaded and stored in a local cache directory.
`n`	When the result of this function is printed to screen, the top `n` packages will be displayed.
`browse`	If `TRUE`, automatically open webpages of the top `n` matches in local browser.

Value

A character vector of function names in the form "::".

Examples

## Not run: 
input <- "Process raster satellite images"
p <- pkgmatch_similar_fns (input)
p # Default print method, lists 5 best matching packages
head (p) # Shows first 5 rows of full `data.frame` object

## End(Not run)
## Not run: 
input <- "Process raster satellite images"
p <- pkgmatch_similar_fns (input)
p # Default print method, lists 5 best matching packages
head (p) # Shows first 5 rows of full `data.frame` object

## End(Not run)

Find R packages matching an input of either text or another package

Description

This function accepts as input either a text description, or a path to a local R package, and returns information on R packages which best match that input. Matches are found from within a specified "corpus", currently all packages from either rOpenSci's package suite, or from CRAN.

The returned object has a default print method which prints the best 5 matches directly to the screen, yet returns information on all packages within the specified corpus. This information is in the form of a data.frame, with one column for the package name, and one or more additional columns of integer ranks for each package. There is also a head method to print the first few entries of these full data (default n = 5). To see all data, use as.data.frame().

Ranks are obtained from scores derived from:

Cosine similarities between Language Model (LM) embeddings for the input, and corresponding embeddings for the specified corpus.
"Best Match 25" (BM25) scores based on document token frequencies.

Ranks for text matches are generally obtained from packages both including and excluding function descriptions as part of the package text. This results in up to four scores for each input. These scores are then combined to a final ranking using the Reciprocal Rank Fusion (RRF) algorithm. The additional parameter of lm_proportion determines the extent to which the final ranking weights the LM versus BM25 components.

Finally, all components of this function are locally cached for each call (by the memoise package), so additional calls to this function with the same input and corpus should be much faster than initial calls. This means the effect of changing lm_proportion can easily be examined by simply repeating calls to this function.

Usage

pkgmatch_similar_pkgs(
  input,
  corpus = "ropensci",
  embeddings = NULL,
  idfs = NULL,
  input_is_code = text_is_code(input),
  lm_proportion = 0.5,
  n = 5L,
  browse = FALSE
)
pkgmatch_similar_pkgs(
  input,
  corpus = "ropensci",
  embeddings = NULL,
  idfs = NULL,
  input_is_code = text_is_code(input),
  lm_proportion = 0.5,
  n = 5L,
  browse = FALSE
)

Arguments

`input`	Either a path to local source code of an R package, or a text string.
`corpus`	If `embeddings` or `idfs` parameters are not specified, they are automatically downloaded for the corpus specified by this parameter. Must be one of "ropensci" or "cran". The function will then return the most similar package from the specified corpus.
`embeddings`	Large Language Model embeddings for all rOpenSci packages, generated from pkgmatch_embeddings_from_pkgs. If not provided, pre-generated embeddings will be downloaded and stored in a local cache directory.
`idfs`	Inverse Document Frequency tables for all rOpenSci packages, generated from pkgmatch_bm25. If not provided, pre-generated IDF tables will be downloaded and stored in a local cache directory.
`input_is_code`	A binary flag indicating whether `input` is code or plain text. Ignored if `input` is path to a local package; otherwise can be used to force appropriate interpretation if input type.
`lm_proportion`	A value between 0 and 1 to control the relative contributions of results from Language Models ("LMs") versus results from traditional token-frequency models. Final rankings are generated by combining these two kinds of results, so that `lm_proportion = 0` will return results from token frequency analyses only, while `lm_proportion = 1` will return results from LMs only.
`n`	When the result of this function is printed to screen, the top `n` packages will be displayed.
`browse`	If `TRUE`, automatically open webpages of the top `n` matches in local browser.

Value

A data.frame with a "package" column naming packages, and one or more columns of package ranks in terms of text similarity and, if input is a local path to an entire R package, of similarity in code structure. As described above, the default print method prints package names only. To see full result, use as.data.frame().

Note

The first time this function is run without passing either embeddings or idfs, required values will be automatically downloaded and stored in a locally persistent cache directory. Especially for the "cran" corpus, this downloading may take quite some time.

Examples

## Not run: 
input <- "Download open spatial data from NASA"
p <- pkgmatch_similar_pkgs (input)
p # Default print method, lists 5 best matching packages
head (p) # Shows first 5 rows of full `data.frame` object
# This second call will be much faster than first call:
p2 <- pkgmatch_similar_pkgs (input, lm_proportion = 0.25)

## End(Not run)
## Not run: 
input <- "Download open spatial data from NASA"
p <- pkgmatch_similar_pkgs (input)
p # Default print method, lists 5 best matching packages
head (p) # Shows first 5 rows of full `data.frame` object
# This second call will be much faster than first call:
p2 <- pkgmatch_similar_pkgs (input, lm_proportion = 0.25)

## End(Not run)

Use "treesitter" to tag all function calls made within local package, and to associate those calls with package namespaces. This is used as input to the pkgmatch_bm25_fn_calls function.

Description

Use "treesitter" to tag all function calls made within local package, and to associate those calls with package namespaces. This is used as input to the pkgmatch_bm25_fn_calls function.

Usage

pkgmatch_treesitter_fn_tags(path)
pkgmatch_treesitter_fn_tags(path)

Arguments

path

Path to local package, or .tar.gz file of package source.

Value

A data.frame of all function calls made within the package, with the following columns:

'fn' Name of the package function within which call is made, including namespace identifiers of "::" for exported functions and ":::" for non-exported functions.
name Name of function being called, including namespace.
start Byte number within file corresponding to start of definition
end Byte number within file corresponding to end of definition
file Name of file in which fn call is defined.

Examples

## Not run: 
u <- "https://cran.r-project.org/src/contrib/odbc_1.5.0.tar.gz"
path <- file.path (tempdir (), basename (u))
download.file (u, destfile = path)
tags <- pkgmatch_treesitter_fn_tags (path)

## End(Not run)
## Not run: 
u <- "https://cran.r-project.org/src/contrib/odbc_1.5.0.tar.gz"
path <- file.path (tempdir (), basename (u))
download.file (u, destfile = path)
tags <- pkgmatch_treesitter_fn_tags (path)

## End(Not run)

Update pkgmatch' data for both CRAN and rOpenSci packages on GitHub release

Description

This function is intended for internal rOpenSci use only. Usage by any unauthorized users will error and have no effect unless run with upload = FALSE, in which case updated data will be created in the sub-directory "pkgmatch-results" of R's current temporary directory. This updating may take a very long time!

Usage

pkgmatch_update_data(upload = TRUE)
pkgmatch_update_data(upload = TRUE)

Arguments

upload

If TRUE, upload updated results to GitHub release.

Value

Local path to directory containing updated results.

Examples

## Not run: 
pkgmatch_update_data (upload = FALSEE)

## End(Not run)
## Not run: 
pkgmatch_update_data (upload = FALSEE)

## End(Not run)

Print method for 'pkgmatch' objects

Description

Print method for 'pkgmatch' objects

Usage

## S3 method for class 'pkgmatch'
print(x, ...)
## S3 method for class 'pkgmatch'
print(x, ...)

Arguments

`x`	Object to be printed
`...`	Additional parameters passed to default 'print' method.

Value

The result of printing x, in form of either a single character vector, or a named list of character vectors.

Examples

## Not run: 
input <- "Download open spatial data from NASA"
p <- pkgmatch_similar_pkgs (input)
p # Default print method, lists 5 best matching packages
head (p) # Shows first 5 rows of full `data.frame` object

## End(Not run)
## Not run: 
input <- "Download open spatial data from NASA"
p <- pkgmatch_similar_pkgs (input)
p # Default print method, lists 5 best matching packages
head (p) # Shows first 5 rows of full `data.frame` object

## End(Not run)

Estimate whether input text string is code or English prose text.

Description

This is only approximate, and there are even software packages which can give false negatives and be identified as prose (like rOpenSci's "geonames" package), and prose which may be wrongly identified as code.

Usage

text_is_code(txt)
text_is_code(txt)

Arguments

txt

Single input text string

Value

Logical value indicating whether or not txt was identified as code.

Examples

txt <- "Some text without any code"
text_is_code (txt)
txt <- "this_is_code <- function (x) { x }"
text_is_code (txt)
txt <- "Some text without any code"
text_is_code (txt)
txt <- "this_is_code <- function (x) { x }"
text_is_code (txt)

Package 'pkgmatch'

Help Index

Head method for 'pkgmatch' objects

Description

Usage

Arguments

Value

See Also

Examples

Check that ollama is installed with required models, and download if not.

Description

Usage

Arguments

Value

Examples

Calculate the "BM25" = "Best Matching 25" ranking function between text input and all R packages within specified corpus.

Description

Usage

Arguments

Value

See Also

Examples

Calculate a "BM25" index from function-call frequencies between a local R package and all packages in specified corpus.

Description

Usage

Arguments

Value

See Also

Examples

Open web pages for pkgmatch results

Description

Usage

Arguments

Value

See Also

Examples

Return raw language model ('LM') embeddings from package text and function definitions.

Description

Usage

Arguments

Value

See Also

Examples

Return raw language model ('LM') embeddings from a vector of text strings.

Description

Usage

Arguments

Value

See Also

Examples

Load embeddings generated by the pkgmatch_embeddings_from_pkgs function, either for all rOpenSci packages or, if fns = TRUE, all individual functions within those packages.

Description

Usage

Arguments

Value

See Also

Examples

Identify R functions best matching a given input string

Description

Usage

Arguments

Value

See Also

Examples

Find R packages matching an input of either text or another package

Description

Usage

Arguments

Value

Note

See Also

Examples

Use "treesitter" to tag all function calls made within local package, and to associate those calls with package namespaces. This is used as input to the pkgmatch_bm25_fn_calls function.

Description

Usage

Arguments

Value

Examples

Update pkgmatch' data for both CRAN and rOpenSci packages on GitHub release

Description

Open web pages for `pkgmatch` results

Load embeddings generated by the pkgmatch_embeddings_from_pkgs function, either for all rOpenSci packages or, if `fns = TRUE`, all individual functions within those packages.