initial commit
yessss feat: add Vikunja issues provider and integrate tasks retrieval Co-authored-by: aider (openai/qwen2.5-coder:32b-instruct-q4_0) <aider@aider.chat> feat: add Vikunja handler to main file Co-authored-by: aider (openai/qwen2.5-coder:32b-instruct-q4_0) <aider@aider.chat> refactor: Move Jira user from positional arg to flag parameter Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> fix: replace manual argument parsing with Go flags package Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> feat: replace positional arguments with flags in main function Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> fix: enforce mandatory start/end dates and at least one identifier flag Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> fix: only call relevant tools based on flag presence Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> feat: add vikunja task support to summarize function feat: add flag to pass custom prompt with default prompt as fallback Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> Minor fix fix: comment out vikunja tasks integration for now fix: check for OpenAI environment variables before calling Summarize Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> feat: add timestamped prompt file generation for summarization refactor: remove duplicate os.Getenv calls for OpenAI env vars in SummarizeData Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> refactor: pass OpenAI env vars from main to SummarizeData instead of calling os.Getenv inside the function Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> feat: add file prompt support with fallback to literal prompt string Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> fix: remove single quotes around JIRA user assignee and add debug printing feat: implement accountID lookup for Jira user search in GetIssues function Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> fix: remove debug print statement in Jira user search function fix: Replace user parameter with JIRA_USER environment variable in SetBasicAuth calls Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> fix: add missing os import in summarize.go refactor: split SummarizeData into buildPrompt and callSummarizationEndpoint functions Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> fix: always call SummarizeData to ensure prompt file is created for debugging, but only call OpenAI endpoint if env vars are set Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> refactor: extract callSummarizationEndpoint into Summarizer interface for multiple implementations Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> refactor: move OpenAI variable checks into OpenAISummarizer's Summarize method and always call the summarizer's method Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> feat: implement Ollama Summarizer using official SDK as per article example Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> refactor: simplify OpenAI and Ollama summarizer implementations refactor: simplify Summarizer interface by moving endpoint, token, and model to struct properties Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> feat: add Ollama summarizer support to main command fix: remove extraneous parameters from SummarizeData call and use properly initialized OllamaSummarizer Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> feat: add AnthropicSummarizer implementation using anthropic-sdk-go package Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> fix: change summarizer call condition to check if summarizer is nil instead of environment variables Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> fix: correct client reference and update Anthropic summarizer implementation feat: extract PR rendering to String() method using text/template Co-authored-by: aider (openai/qwen3-coder:30b-a3b-q4_K_M) <aider@aider.chat> Some cleanup
This commit is contained in:
commit
a2c8207998
9 changed files with 726 additions and 0 deletions
197
cmd/acb/summarize.go
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197
cmd/acb/summarize.go
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package main
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import (
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"context"
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"fmt"
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"os"
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"time"
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"o5r.ca/autocrossbow/contributions"
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"o5r.ca/autocrossbow/issues"
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"o5r.ca/autocrossbow/issues/vikunja"
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"github.com/anthropics/anthropic-sdk-go"
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"github.com/anthropics/anthropic-sdk-go/option"
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"github.com/ollama/ollama/api"
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)
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const defaultPrompt = `I will provide you, for a given period, with an employee name and a list of Pull Request titles and summaries split by repository, and a list of Jira Issues an employee has worked on. I may also provide, optionally, the employee's self-assessment. If I do, integrate that.
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I'd like you to summarize the employee's accomplishments for the quarter
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I'd like the summary for the accomplishments to be in prose form, in a few paragraphs separated based on areas of work. Keep answers to 500 words for the summary.`
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// Summarizer interface defines the contract for summarization implementations
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type Summarizer interface {
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Summarize(prompt string) (string, error)
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}
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// OpenAISummarizer implements the Summarizer interface for OpenAI-compatible endpoints
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type OpenAISummarizer struct {
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endpoint string
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token string
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model string
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}
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// NewOpenAISummarizer creates a new OpenAISummarizer with the given parameters
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func NewOpenAISummarizer(endpoint, token, model string) *OpenAISummarizer {
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return &OpenAISummarizer{
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endpoint: endpoint,
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token: token,
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model: model,
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}
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}
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// Summarize sends the prompt to an OpenAI-compatible endpoint for summarization
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func (o *OpenAISummarizer) Summarize(fullPrompt string) (string, error) {
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// Check if required environment variables are set
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if o.endpoint == "" || o.token == "" {
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return "", fmt.Errorf("OpenAI endpoint or token not set")
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}
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// Create the request
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ctx := context.Background()
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client, _ := api.ClientFromEnvironment()
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req := api.GenerateRequest{
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Model: o.model,
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Prompt: fullPrompt,
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Stream: nil,
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}
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var result string
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err := client.Generate(ctx, &req, func(resp api.GenerateResponse) error {
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result += resp.Response
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return nil
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})
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if err != nil {
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return "", err
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}
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return result, nil
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}
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// OllamaSummarizer implements the Summarizer interface for Ollama endpoints
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type OllamaSummarizer struct {
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endpoint string
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token string
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model string
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}
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// NewOllamaSummarizer creates a new OllamaSummarizer with the given parameters
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func NewOllamaSummarizer(endpoint, token, model string) *OllamaSummarizer {
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return &OllamaSummarizer{
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endpoint: endpoint,
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token: token,
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model: model,
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}
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}
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// Summarize sends the prompt to an Ollama endpoint for summarization
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func (o *OllamaSummarizer) Summarize(fullPrompt string) (string, error) {
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// Check if required parameters are set
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if o.model == "" {
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return "", fmt.Errorf("Ollama model not set")
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}
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// Create the request
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ctx := context.Background()
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client, _ := api.ClientFromEnvironment()
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req := &api.GenerateRequest{
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Model: o.model,
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Prompt: fullPrompt,
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Stream: nil,
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}
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var result string
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err := client.Generate(ctx, req, func(resp api.GenerateResponse) error {
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result += resp.Response
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return nil
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})
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if err != nil {
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return "", err
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}
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return result, nil
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}
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// AnthropicSummarizer implements the Summarizer interface for Anthropic API
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type AnthropicSummarizer struct {
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client *anthropic.Client
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model string
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}
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// NewAnthropicSummarizer creates a new AnthropicSummarizer with the given parameters
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func NewAnthropicSummarizer(model string) *AnthropicSummarizer {
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// Create the Anthropic client with the API key from environment
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client := anthropic.NewClient(
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option.WithAPIKey(os.Getenv("ANTHROPIC_API_KEY")),
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)
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return &AnthropicSummarizer{
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client: &client,
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model: model,
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}
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}
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// Summarize sends the prompt to the Anthropic API for summarization
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func (a *AnthropicSummarizer) Summarize(fullPrompt string) (string, error) {
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// Check if required parameters are set
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if a.model == "" {
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return "", fmt.Errorf("Anthropic model not set")
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}
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// Create the request
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ctx := context.Background()
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message, err := a.client.Messages.New(ctx, anthropic.MessageNewParams{
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Model: anthropic.Model(a.model),
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MaxTokens: 10000,
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Messages: []anthropic.MessageParam{
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anthropic.NewUserMessage(anthropic.NewTextBlock(fullPrompt)),
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},
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})
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if err != nil {
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return "Blew up here", err
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}
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return fmt.Sprintf("%+v\n", message.Content), nil
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}
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// buildPrompt constructs the prompt string from PRs, issues, and tasks
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func buildPrompt(employeename string, prs contributions.PRMap, issues []issues.Issue, tasks []vikunja.Task, prompt string) string {
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// Build a prompt string
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fullPrompt := prompt + fmt.Sprintf("\n\nHere's the PRs and Tickets for the employee %s:\n\n", employeename)
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fullPrompt += prs.String()
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fullPrompt += "Issues:\n"
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for _, issue := range issues {
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fullPrompt += fmt.Sprintf("Summary: %s\n", issue.Summary)
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fullPrompt += fmt.Sprintf("Description: %s\n", issue.Description)
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fullPrompt += "--------\n"
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}
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// Save prompt to file for debugging
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promptf, err := os.Create(fmt.Sprintf("prompt-%s-%d.json", employeename, time.Now().Unix()))
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if err != nil {
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fmt.Println(fmt.Errorf("error creating PR file: %w", err))
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os.Exit(1)
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}
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promptf.WriteString(fullPrompt)
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defer promptf.Close()
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return fullPrompt
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}
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// SummarizeData builds the prompt and calls the summarization endpoint
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func SummarizeData(employeename string, prs map[string][]contributions.PullRequest, issues []issues.Issue, tasks []vikunja.Task, prompt string, summarizer Summarizer) (string, error) {
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// Build the prompt
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fullPrompt := buildPrompt(employeename, prs, issues, tasks, prompt)
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// Always call the summarizer's Summarize method
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result, err := summarizer.Summarize(fullPrompt)
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if err != nil {
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return "", err
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}
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return result, nil
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}
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