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add python interface through reticulate (openai only)
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CorradoLanera committed May 15, 2024
1 parent 0632ad7 commit 8b0a4e7
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Showing 11 changed files with 130 additions and 43 deletions.
3 changes: 2 additions & 1 deletion DESCRIPTION
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
Package: ubep.gpt
Title: A basic/simple interface to OpenAI’s GPT API
Version: 0.2.7
Version: 0.2.8
Authors@R:
person("Corrado", "Lanera", , "[email protected]", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-0520-7428"))
Expand All @@ -17,6 +17,7 @@ Imports:
jsonlite,
lifecycle,
purrr,
reticulate,
rlang,
stringr,
tibble,
Expand Down
4 changes: 4 additions & 0 deletions NEWS.md
Original file line number Diff line number Diff line change
@@ -1,3 +1,7 @@
# ubep.gpt 0.2.8

* Added `use_py` argument to `gpt_query`, `gpt_query_on_column`, and `get_completion_from_messages`

# ubep.gpt 0.2.7

* Added `closing` argument to `compose_usr_prompt`, `compose_prompt`, and `create_usr_data_prompter` functions, to allow add text at the very end of the prompt, i.e., after the embedded text.
Expand Down
87 changes: 58 additions & 29 deletions R/get_completion_from_messages.R
Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,9 @@
#' "https://api.openai.com/v1/chat/completions", i.e. the OpenAI API)
#' the endpoint to use for the request.
#' @param seed (chr, default = NULL) a string to seed the random number
#' @param timeout (dbl, default = 60) the number of seconds to wait for
#' the request to complete before timing out.
#' @param use_py (lgl, default = FALSE) whether to use python or not
#'
#' @details For argument description, please refer to the [official
#' documentation](https://platform.openai.com/docs/api-reference/chat/create).
Expand Down Expand Up @@ -82,43 +85,64 @@ get_completion_from_messages <- function(
temperature = 0,
max_tokens = NULL,
endpoint = "https://api.openai.com/v1/chat/completions",
seed = NULL
seed = NULL,
use_py = FALSE
) {
stopifnot(
`At the moment, python can be used with openai API only` = !use_py ||
endpoint == "https://api.openai.com/v1/chat/completions"
)
if (use_py) {
if (!reticulate::py_module_available("openai")) {
reticulate::py_install("openai")
}
openai <- reticulate::import("openai")
client <- openai$OpenAI()

response <- httr::POST(
endpoint,
httr::add_headers(
"Authorization" = paste("Bearer", Sys.getenv("OPENAI_API_KEY"))
),
httr::content_type_json(),
encode = "json",
body = list(
model = model,
client$chat$completions$create(
messages = messages,
model = model,
temperature = temperature,
max_tokens = max_tokens,
stream = FALSE, # hard coded for the moment
seed = seed
)$to_json() |>
jsonlite::fromJSON() |>
tryCatch(error = \(e) usethis::ui_stop(e))
} else {
response <- httr::POST(
endpoint,
httr::add_headers(
"Authorization" = paste("Bearer", Sys.getenv("OPENAI_API_KEY"))
),
httr::content_type_json(),
encode = "json",
body = list(
model = model,
messages = messages,
temperature = temperature,
max_tokens = max_tokens,
stream = FALSE, # hard coded for the moment
seed = seed
)
)
)

parsed <- response |>
httr::content(as = "text", encoding = "UTF-8") |>
jsonlite::fromJSON(flatten = TRUE)
parsed <- response |>
httr::content(as = "text", encoding = "UTF-8") |>
jsonlite::fromJSON(flatten = TRUE)

if (httr::http_error(response)) {
err <- parsed[["error"]]
err <- if (is.character(err)) err else err[["message"]]
stringr::str_c(
"API request failed [",
httr::status_code(response),
"]:\n\n",
err
) |>
usethis::ui_stop()
if (httr::http_error(response)) {
err <- parsed[["error"]]
err <- if (is.character(err)) err else err[["message"]]
stringr::str_c(
"API request failed [",
httr::status_code(response),
"]:\n\n",
err
) |>
usethis::ui_stop()
}
parsed
}

parsed
}


Expand All @@ -131,7 +155,13 @@ get_completion_from_messages <- function(
#' @export
get_content <- function(completion) {
if (all(is.na(completion))) return(NA_character_)
completion[["choices"]][["message.content"]]

if ("message" %in% names(completion[["choices"]])) {
completion[["choices"]][["message"]][["content"]]
} else {
completion[["choices"]][["message.content"]]
}

}

#' Get the number of token of a chat completion
Expand Down Expand Up @@ -159,7 +189,6 @@ get_tokens <- function(
completion_tokens = NA_integer_
)
}

if (what == "all") {
completion[["usage"]] |> unlist()
} else {
Expand Down
7 changes: 5 additions & 2 deletions R/query_gpt.R
Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,7 @@
#' the endpoint to use for the request.
#' @param na_if_error (lgl) whether to return NA if an error occurs
#' @param seed (chr, default = NULL) a string to seed the random number
#' @param use_py (lgl, default = FALSE) whether to use python or not
#'
#' @return (list) the result of the query
#' @export
Expand Down Expand Up @@ -49,7 +50,8 @@ query_gpt <- function(
max_try = 10,
quiet = TRUE,
na_if_error = FALSE,
seed = NULL
seed = NULL,
use_py = FALSE
) {
done <- FALSE
tries <- 0L
Expand All @@ -67,7 +69,8 @@ query_gpt <- function(
temperature = temperature,
max_tokens = max_tokens,
endpoint = endpoint,
seed = seed
seed = seed,
use_py = use_py
)
done <- TRUE
aux
Expand Down
4 changes: 3 additions & 1 deletion R/query_gpt_on_column.R
Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,7 @@
#' or not
#' @param seed (chr, default = NULL) a string to seed the random number
#' @param closing (chr, default = NULL) Text to include at the end of the prompt
#' @param use_py (lgl, default = FALSE) whether to use python or not
#'
#' @return (tibble) the result of the query
#'
Expand Down Expand Up @@ -85,7 +86,8 @@ query_gpt_on_column <- function(
na_if_error = FALSE,
res_name = "gpt_res",
.progress = TRUE,
seed = NULL
seed = NULL,
use_py = FALSE
) {
usr_data_prompter <- create_usr_data_prompter(
usr_prompt = usr_prompt,
Expand Down
8 changes: 7 additions & 1 deletion man/get_completion_from_messages.Rd

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5 changes: 4 additions & 1 deletion man/query_gpt.Rd

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5 changes: 4 additions & 1 deletion man/query_gpt_on_column.Rd

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4 changes: 2 additions & 2 deletions tests/testthat/test-compose_prompt_api.R
Original file line number Diff line number Diff line change
Expand Up @@ -51,15 +51,15 @@ test_that("compose_prompt_api works on empty args", {

expect_list(
run_usr_only,
c("character", "integer", "data.frame", "list"),
c("character", "integer", "data.frame", "list", "NULL"),
len = 7
)
expect_string(get_content(run_usr_only))
expect_integerish(get_tokens(run_usr_only, "all"), len = 3)

expect_list(
run_sys_only,
c("character", "integer", "data.frame", "list"),
c("character", "integer", "data.frame", "list", "NULL"),
len = 7
)
expect_string(get_content(run_sys_only))
Expand Down
37 changes: 36 additions & 1 deletion tests/testthat/test-get_completion_from_messages.R
Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,42 @@ test_that("get_completion_from_messages works", {
# expectation
expect_list(
res,
c("character", "integer", "data.frame", "list"),
c("character", "integer", "data.frame", "list", "NULL"),
len = 7
)
expect_string(get_content(res))
expect_integerish(get_tokens(res))
expect_integerish(get_tokens(res, what = "prompt"))
expect_integerish(get_tokens(res, what = "completion"))
expect_integerish(get_tokens(res, what = "completion"))
})

test_that("get_completion_from_messages works w/ py", {
# setup
model <- "gpt-3.5-turbo"
messages <- compose_prompt_api(
sys_prompt = compose_sys_prompt(
role = "role",
context = "context"
),
usr_prompt = compose_usr_prompt(
task = "task",
instructions = "instructions"
)
)

# execution
res <- get_completion_from_messages(
model = model,
messages = messages,
use_py = TRUE
) |>
suppressMessages()

# expectation
expect_list(
res,
c("character", "integer", "data.frame", "list", "NULL"),
len = 7
)
expect_string(get_content(res))
Expand Down
9 changes: 5 additions & 4 deletions tests/testthat/test-query_gpt.R
Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@ test_that("query_gpt works", {
# expectation
expect_list(
res,
c("character", "integer", "data.frame", "list"),
c("character", "integer", "data.frame", "list", "NULL"),
len = 7
)
expect_string(get_content(res))
Expand All @@ -39,7 +39,7 @@ test_that("query_gpt restarts", {

query_gpt(prompt, max_try = 2, quiet = FALSE) |>
suppressMessages() |>
expect_error(regexp = "is not of type 'array' - 'messages'")
expect_error(regexp = "Invalid type for 'messages'")
})

test_that("na_if_error works", {
Expand All @@ -49,7 +49,7 @@ test_that("na_if_error works", {
# execution
expect_warning({
res <- query_gpt(prompt, max_try = 1, na_if_error = TRUE)
}, "is not of type 'array' - 'messages'") |>
}, "Invalid type for 'messages'") |>
suppressMessages()

# expectation
Expand All @@ -63,6 +63,7 @@ test_that("na_if_error works", {


test_that("query_gpt without or empty sys_prompt works", {
skip("not on my server")
# setup
messages <- compose_prompt_api(usr_prompt = "usr")

Expand All @@ -75,7 +76,7 @@ test_that("query_gpt without or empty sys_prompt works", {

# expectation
expect_list(
res, c("character", "integer", "data.frame", "list")
res, c("character", "integer", "data.frame", "list", "NULL")
)
expect_string(get_content(res))
expect_integerish(get_tokens(res), len = 1)
Expand Down

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