@@ -18,55 +18,10 @@ const fs = require("fs");
1818// Data
1919//-----------------------------------------------------------------------------
2020
21- const { GITHUB_TOKEN , OPENAI_API_KEY } = process . env ;
21+ const { GITHUB_TOKEN } = process . env ;
2222const now = moment ( ) ;
2323const firstDayOfPreviousMonth = now . clone ( ) . subtract ( 1 , "month" ) . startOf ( "month" ) ;
2424const lastDayOfPreviousMonth = firstDayOfPreviousMonth . clone ( ) . endOf ( "month" ) ;
25-
26- const AI_URL = "https://api.openai.com/v1/chat/completions" ;
27- const AI_MODEL = "gpt-4o-mini" ;
28-
29- const PROMPT = `You will be given a JSON object where the keys are GitHub
30- usernames and the values are arrays of pull request objects that were
31- written by the user. Your task is to create a Markdown report of this
32- activity.
33-
34- For each user, create a heading like this:
35-
36- <example>
37- ## GitHub username (pull request count)
38- </example>
39-
40- Under each heading, list each pull request in the following format:
41-
42- <example>
43- 1. Pull request title linked to the PR URL
44- A three-sentence summary of the pull request description ('body' field in the PR object).
45- * **Time to merge:** X days, Y hours
46- * **Effort Estimate:** X
47- </example>
48-
49- The effort estimate is the amount of effort it took for the author to complete the PR
50- on a scale of 1 (not much work, very easy) to 5 (a lot of work). This should be
51- based on the complexity of the changes, the amount of review comments, the overall
52- size of the PR, the number of reactions, and the time taken to complete it.
53-
54- The format of the JSON pull request object is as follows:
55-
56- - user: The GitHub username of the pull request author
57- - title: The pull request title
58- - body: The pull request description in Markdown
59- - html_url: The URL of the pull request
60- - created_at: The date the pull request was created
61- - closed_at: The date the pull request was merged
62- - reactions: The total number of reactions on the pull request
63- - comments: The total number of comments on the pull request
64-
65- The title of the report should be "Contributor Pool Report for [Month] [Year]".
66-
67- IMPORTANT: Every pull request in the JSON array must be included in the report.
68- ` ;
69-
7025const prKeys = new Set ( [
7126 "html_url" ,
7227 "title" ,
@@ -130,7 +85,6 @@ async function fetchGitHubSearchResults() {
13085 console . log ( `Fetched ${ allItems . length } ) ;
13186
13287 return allItems
133- . filter ( pr => pr . author_association !== "MEMBER" )
13488 . map ( pr => {
13589 const smallPr = { } ;
13690
@@ -149,42 +103,34 @@ async function fetchGitHubSearchResults() {
149103}
150104
151105/**
152- * Fetches the AI model response based on the provided results .
153- * @param {Object } grouped The array of PRs to be processed by the AI model .
154- * @returns {Promise< string> } A promise that resolves to the AI-generated report.
106+ * Generates a report based on the grouped PRs .
107+ * @param {Object } grouped The grouped PRs by user .
108+ * @returns {string } The formatted report.
155109 */
156- async function fetchModelResponse ( grouped ) {
157-
158- const response = await fetch ( AI_URL , {
159- method : "POST" ,
160- headers : {
161- "Content-Type" : "application/json" ,
162- Authorization : `Bearer ${ OPENAI_API_KEY }
163- } ,
164- body : JSON . stringify ( {
165- model : AI_MODEL ,
166- messages : [
167- { role : "system" , content : PROMPT } ,
168- { role : "user" , content : JSON . stringify ( grouped ) }
169- ] ,
170- temperature : 0.7
171- } )
172- } ) ;
173-
174- if ( ! response . ok ) {
175- console . log ( await response . text ( ) ) ;
176- throw new Error ( `AI model request failed with status ${ response . status } ) ;
177- }
110+ function generateReport ( grouped ) {
178111
179- const data = await response . json ( ) ;
112+ return `
113+ # Contributor Pool Report (${ firstDayOfPreviousMonth . format ( "MM/DD/YYYY" ) } ${ lastDayOfPreviousMonth . format ( "MM/DD/YYYY" ) }
180114
181- if ( ! data . choices || data . choices . length === 0 ) {
182- throw new Error ( "No response from AI model" ) ;
183- }
115+ ${
116+ Object . entries ( grouped ) . sort ( ( a , b ) => b [ 1 ] . length - a [ 1 ] . length ) . map ( ( [ user , prs ] ) => {
117+
118+ const prList = prs . map ( pr => {
119+ const createdAt = moment ( pr . created_at ) ;
120+ const closedAt = moment ( pr . closed_at ) ;
121+ const duration = moment . duration ( closedAt . diff ( createdAt ) ) ;
122+ const days = Math . floor ( duration . asDays ( ) ) ;
123+ const hours = duration . hours ( ) ;
184124
185- return data . choices [ 0 ] . message . content ;
125+ return `1. [${ pr . title } ${ pr . html_url } ${ pr . comments } ${ pr . reactions } ${ days } ${ hours } ;
126+ } ) . join ( "\n\n" ) ;
127+
128+ return `## ${ user } ${ prs . length } ${ prList } ;
129+ } ) . join ( "\n\n" )
186130}
131+ ` . trimStart ( ) ;
187132
133+ }
188134
189135/**
190136 * Generates the transcript file output path.
@@ -208,7 +154,7 @@ function generateOutputPath(dateString) {
208154
209155 console . log ( `Found ${ results . length } ) ;
210156
211- const report = `${ await fetchModelResponse ( grouped ) } ${ encodeURIComponent ( query ) } ${ results . length } ${ now . format ( "MM/DD/YYYY" ) } ;
157+ const report = `${ generateReport ( grouped ) } ${ encodeURIComponent ( query ) } ${ results . length } ${ now . format ( "MM/DD/YYYY" ) } ;
212158 const dateString = now . clone ( ) . startOf ( "month" ) . format ( "MM/DD/YYYY" ) ;
213159 const outputPath = generateOutputPath ( dateString ) ;
214160
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