#!/usr/bin/env bash

set -euo pipefail

model="${COMMITX_MODEL:-gpt-4-1106-preview}"
temperature="${COMMITX_TEMPERATURE:-0.3}"
OPENAI_API_KEY="${OPENAI_API_KEY:? OPENAI_API_KEY not set}"
diff=$(git --no-pager diff --color=never)
prompt="Generate a Git commit message in the Conventional Commits format, with the following structure:

<type>(<scope1,scope2,...>): short summary

- detail 1
- detail 2
- ...

Use multiple scopes if the diff includes changes in multiple areas.
Use markdown-style bullet points for details.
Do not include explanations or code.
Base it on the following diff:

$diff"

declare payload
payload=$(jq -n \
  --arg model "$model" \
  --arg temp "$temperature" \
  --arg prompt "$prompt" \
  '{
    model: $model,
    temperature: ($temp | tonumber),
    messages: [
      { role: "system", content: "You are an assistant that writes Git commit messages." },
      { role: "user", content: $prompt }
    ]
  }')


curl -s https://api.openai.com/v1/chat/completions \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d "$payload" |
jq -r '.choices[0].message.content'

# vim:tabstop=2:softtabstop=2:shiftwidth=2:expandtab:filetype=sh

#!/usr/bin/env bash

set -euo pipefail

MODEL="${COMMITX_MODEL:-gpt-4-turbo}"
TEMPERATURE="${COMMITX_TEMPERATURE:-0.3}"
OPENAI_API_KEY="${OPENAI_API_KEY:? OPENAI_API_KEY not set}"
diff=$(git --no-pager diff --color=never)
prompt="You are a Principal Software Architect reviewing a Git diff.

You may not have the full code context, but please still provide a professional code review.

Focus on:
- What the changes are doing
- Code quality, style, naming, structure
- Potential bugs or anti-patterns
- Suggestions for improvement

Use markdown. Be helpful, concise, and insightful.

--- START DIFF ---
${diff}
--- END DIFF ---"

curl -s https://api.openai.com/v1/chat/completions \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d "$(jq -n \
    --arg model "$MODEL" \
    --arg temp "$TEMPERATURE" \
    --arg prompt "$prompt" \
    ' {
      model: $model,
      temperature: ($temp | tonumber),
      messages: [
        { role: "system", content: "You are a senior engineer performing code review." },
        { role: "user", content: $prompt }
      ]
    }')" |
jq -r '.choices[0].message.content'

# vim:tabstop=2:softtabstop=2:shiftwidth=2:expandtab:filetype=sh