PoC: Chat from Github Issue

.github/workflows/pull_reqeust.default.yml

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+on: [pull_request]
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v5
+      - uses: astral-sh/setup-uv@v7
+      - run: uv sync
+      - env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+
+          DST_ISSUE_NUMBER: 13
+        run: uv run chat-from-github-issue

.gitignore

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+/.python-version
+/uv.lock
+
+/Makefile

README.md

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 # prototype
 For fast prototyping!
+
+## What?
+
+- Type some ideas into some "Github Issue"
+- Trigger Github Actions Workflow via ``issue_comment``
+  - e.g. ``hey, alex {PROMPT}``
+  - e.g. ``alex, {PROMPT}``
+- The workflow convert the main description and all comments into a Chat history
+
+## Probeles to Solve
+
+1. How to test workflows?
+   - Espeically workflows with ``issue_comment`` trigger
+
+## References
+
+- LLM Provider
+  - Ollama (in use)
+    - https://github.com/ollama/ollama-python
+  - Gemini (candidate)
+    - https://ai.google.dev/gemini-api/docs
+- Github Actions
+  - https://docs.github.com/en/actions/reference/workflows-and-actions/events-that-trigger-workflows
+  - https://docs.github.com/en/actions/concepts/runners/self-hosted-runners
+  - https://docs.github.com/en/actions/how-tos/manage-runners/self-hosted-runners/add-runners
+  - https://docs.github.com/en/actions/reference/runners/self-hosted-runners
+
+### How to Run Linters?
+
+```
+uv run pre-commit run -a -c pre-commit-config.yaml
+```

pre-commit-config.yaml

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+repos:
+  - repo: https://github.com/rhysd/actionlint.git
+    rev: v1.6.26 # Use the latest stable version of actionlint
+    hooks:
+      - id: actionlint
+        name: Lint GitHub Actions workflows
+        entry: actionlint
+        language: golang
+        types: ["yaml"]
+        files: ^\.github/workflows/
+        args: ["-color"] # Optional: Add arguments like -color for colored output

pyproject.toml

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+[project]
+name = "chat-from-github-issue"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+authors = [
+    { name = "Jonghyun Park", email = "parjong@gmail.com" }
+]
+requires-python = "==3.14.*"
+dependencies = [
+    "ollama==0.6.1",
+    "pygithub==2.8.1",
+]
+
+[project.scripts]
+chat-from-github-issue = "chat_from_github_issue:main"
+
+[build-system]
+requires = ["uv_build>=0.9.3,<0.10.0"]
+build-backend = "uv_build"
+
+[dependency-groups]
+dev = [
+    "pre-commit==4.3.0",
+]

src/chat_from_github_issue/__init__.py

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+# Based on https://pygithub.readthedocs.io/en/v2.8.1/introduction.html
+from github import Github
+from github import Auth as GithubAuth
+from ollama import chat
+from ollama import ChatResponse
+
+from os import environ
+from pprint import pprint
+
+def chat_message_of_(comment):
+    # comment.body: str
+    # comment.author_association = OWNER
+    #                            | ...
+    #                            | NONE (for github-action bot account
+    #                                    when tested from Github Enterprise
+    # comment.reactions: dict
+    # ^ Can be used to make a recap on close (persistent memory)
+    role = 'user' if comment.author_association != 'NONE' else 'assistant'
+    return { 'role': role, 'content': comment.body }
+# def/ END
+
+def make_response_for_(messages):
+    if 'CI' in environ:
+        sample = """Hello! I'm Alex, your friendly AI assistant here to help you with whatever you need! 😊"""
+        return sample
+    # if/ END
+
+    # References
+    # - https://apidog.com/blog/how-to-use-ollama/ 
+    args = {}
+
+    args['model'] = 'qwen3:1.7b' # To run LLM onNVIDIA GeForce GTX 1650 (4GB VRAM)
+    args['messages'] = messages
+    args['options'] = { 'num_ctx': 8 * 1024 } # Q. How to adjust this number?
+
+    response: ChatResponse = chat(**args)
+
+    return response.message.content
+# def/ END
+
+def main() -> None:
+    # NOTE Caller SHOULD set 'GITHUB_TOKEN' before (even for Github Actions)
+    auth = GithubAuth.Token(environ['GITHUB_TOKEN'])
+    g = Github(auth=auth)
+
+    param = {}
+
+    param['src_issue_number'] = '13'
+
+    repository: str = 'parjong/prototype'
+    src_issue_number: int = 13
+
+    repo = g.get_repo(repository)
+    issue = repo.get_issue(number=src_issue_number)
+
+    messages = []
+
+    # System Prompt
+    messages += [ { 'role': 'system', 'content': 'You are alex, a kind assistant' } ]
+
+    # Chat History
+    # Q. How to treat the main description? 
+    #
+    # - As system prompt?
+    # - As chat history?
+    messages += [ { 'role': 'user', 'content': issue.body } ]
+    messages += [ chat_message_of_(comment) for comment in issue.get_comments() ]
+
+    print('Messages:')
+    pprint(messages)
+
+    response = make_response_for_(messages)
+
+    print('Response:')
+    print(response)
+
+    if 'DST_ISSUE_NUMBER' in environ:
+        dst_issue_number = int(environ['DST_ISSUE_NUMBER'])
+        issue = repo.get_issue(number=dst_issue_number)
+        issue.create_comment(response)
+
+    # NOTE Possible to remove How to remove
+    #
+    # Variable     | How?
+    # ---          | ---
+    # repository   | Use 'GITHUB_REPOSITORY' environment variable
+    # issue_number | Use action event context
+    #              | (e.g. github.context.issue.number for 'issue_comment' trigger)
+    #
+    # From [1]
+
+    # NOTE. System Design Pros/Cons
+    #
+    # - Pros: Minimal infrastructure
+    # - Cons: Redundant re-computation (cannot reuse the KV from existing turns)
+# def/ END
+
+# References
+#
+# [1] https://docs.github.com/en/actions/reference/workflowsu-and-actions/variables
+# [2] https://pygithub.readthedocs.io/en/v2.8.1/examples.html