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consolidated: move test_results and apply small ruff fixes (#27)
consolidated: move test_results into test/ and apply small ruff fixes This PR consolidates smaller hygiene changes into one reviewable change: - Move `test_results/` into `test/test_results/`. - Apply `ruff --fix` style fixes to `src/handlers`, `src/utils`, and `src/pipelines` in small commits. - Rename empty router modules to `llm_router.py` and `fallback_router.py` to avoid mypy duplicate-module collisions. All changes are stylistic/repository hygiene; no behavioral changes expected.
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‎.env‎

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# Example .env file for SDLC_core
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# Set the LLM provider (default: gemini). Options: gemini, openai, ollama
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LLM_PROVIDER=gemini
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# For Gemini (Google)
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# DO NOT store real API keys in the repository.
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# Provide your Gemini API key via GitHub Actions secrets (recommended for CI) or configure
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# it locally in your shell environment when developing.
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# Example (local):
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# export GOOGLE_GEMINI_API_KEY="your-key-here"
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# If you prefer dotenv for local development, create a local, untracked file (for example
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# `.env.local`) and load it; do NOT commit it.
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# GOOGLE_GEMINI_API_KEY=
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# For OpenAI
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# Provide your OpenAI API key via GitHub Actions secrets or set it locally:
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# export OPENAI_API_KEY="sk-..."
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# OPENAI_API_KEY=
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# For Ollama (local, may not require API key)
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# LLM_MODEL=llama2

‎.github/PROVIDER_SETUP.md‎

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# GitHub CI: Provider secrets & manual provider matrix
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This file documents the repository secrets and quick steps to run provider-specific CI jobs manually.
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- Add `GOOGLE_GEMINI_API_KEY` to your environment before running provider jobs.
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- GitHub Actions / Secrets
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To store provider keys for CI, add them as repository secrets. Example using the GitHub CLI:
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```bash
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# store a Gemini key
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gh secret set GOOGLE_GEMINI_API_KEY --body "<your-gemini-key>"
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# store an OpenAI key
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gh secret set OPENAI_API_KEY --body "<your-openai-key>"
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# optionally, store Codecov token
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gh secret set CODECOV_TOKEN --body "<your-codecov-token>"
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```
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- Local dev note: Do not commit API keys into the repository. The project `.env` file has been sanitized and no longer contains live API keys. For local development, either export the variables in your shell or create a `.env.local` file which is gitignored.
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- `OPENAI_API_KEY` — API key for OpenAI (if you run OpenAI provider jobs).
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- `CODECOV_TOKEN` — (optional) Codecov token for private repos if you want coverage uploaded. Public repos usually don't need this.
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Notes about Ollama:
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- Ollama is a local inference server. The CI provider matrix includes `ollama` as an option but most CI runs should use `gemini` or `openai` unless you have an Ollama server available in your runner.
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- If you want to run Ollama in CI, you must either run a self-hosted runner that has Ollama installed and running, or start an Ollama container as part of the job before running tests.
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Or set them manually in the GitHub UI:
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- Repo → Settings → Secrets and variables → Actions → New repository secret
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How to run the provider matrix manually
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1. Open the repository on GitHub and go to Actions → `Python Tests (consolidated)`.
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2. Click "Run workflow" and set `run_providers` to `true` then dispatch.
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Or use the `gh` CLI to dispatch the workflow (example):
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```bash
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# Replace 'python-test.yml' with the workflow file name if different
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gh workflow run python-test.yml -f run_providers=true
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```
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If you prefer to run a single provider smoke job manually (quick check) use the provider-smoke job in the workflow (via the Actions UI) or run a small script locally that constructs the agent with `dry_run=True`:
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```bash
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# Dry-run locally (no network calls) — uses gemini by default in examples
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DRY_RUN=true LLM_PROVIDER=gemini python -c "from src.agents import deepagent; a=deepagent.SDLCFlexibleAgent(provider='gemini', dry_run=True); print('dry run ok', a.agent.run('hello'))"
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```
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Security
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- Never commit secrets to the repository.
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- Use least-privilege credentials for CI runs when possible.
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Troubleshooting
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- If the `providers` matrix job fails for `ollama`, check that the runner has network access to your Ollama server or that a local Ollama container was started prior to running tests.
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- For Codecov failures, ensure `CODECOV_TOKEN` is set if the repo is private.
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Running Ollama in CI (example)
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If you want to spin up an Ollama container in a job before running tests, you can add a step like this (example using Docker):
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```yaml
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- name: Start Ollama container
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run: |
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docker run -d --name ollama -p 11434:11434 ollama/ollama:latest
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# optionally wait for health endpoint
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until curl -sSf http://localhost:11434/health; do sleep 1; done
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```
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Note: replace `ollama/ollama:latest` with the image/tag you prefer. For GitHub-hosted runners, ensure Docker is available or use a self-hosted runner with Ollama installed.

‎.github/PR_BODY_lint_utils.md‎

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style(utils): apply ruff --fix to src/utils
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This is a small, focused commit applying ruff auto-fixes to `src/utils` to reduce lint noise.
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No behavioral changes expected; purely style/formatting.

‎.github/PR_BODY_move_test_results_and_handlers.md‎

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chore: move test_results into test/ and lint handlers
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What I changed
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- Moved `test_results/` into `test/test_results/` to group test artifacts with tests.
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- Applied `ruff --fix` to `src/handlers` (small, focused linting commit). No functional changes.
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- Added renamed router modules earlier to avoid mypy duplicate-module collisions.
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Why
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- Keeps test artifacts nested under `test/` for cleaner repo layout.
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- Small, isolated linting fixes are easier to review and revert if necessary.
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- Renaming router modules prevents future mypy collisions.
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Notes for reviewers
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- No runtime behavior changed. This is a repository hygiene change.
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- If you keep CI artifacts in `test/test_results/`, update any external tooling that referenced `test_results/` directly.

‎.github/PR_COMMENT_deepagent.txt‎

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CI and testability improvements for DeepAgent (dry-run, tests, CI)
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- Added dry-run / MockAgent and an EchoTool to make DeepAgent importable and testable without provider APIs.
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- Added offline unit tests for DeepAgent and provider selection. Local run: 5 tests passed.
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- Added reproducible test runner (`scripts/run-tests.sh`), `Makefile` targets, and updated README with instructions.
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- Adjusted `requirements.txt` to remove unavailable pins and pin validated provider adapters.
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- Consolidated CI workflow `.github/workflows/python-test.yml` (ruff + mypy + pytest + codecov). Provider matrix is manual and must be dispatched by a user with repo:actions permissions.
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Static checks: `src/agents/deepagent.py` passes ruff; repo-wide ruff still reports ~115 items (plan to fix in small batches).
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Notes:
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- mypy reports a duplicate-module issue for router modules; CI excludes `src/llm/router.py` until a refactor is done.
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- Provider matrix run needs a manual dispatch in Actions (set run_providers=true) or a user with proper `gh` permissions.

‎.github/workflows/python-test-static.yml‎

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# Python Unit Tests & Static Analysis
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# This workflow runs unit tests and static code analysis
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name: Python Tests and Static Analysis
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name: Python Tests and Static Analysis (legacy)
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on:
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push:
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paths:
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- '**.py'
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pull_request:
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paths:
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- '**.py'
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jobs:
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test-and-analyze:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.11'
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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pip install pytest pytest-cov mypy
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- name: Run unit tests
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run: pytest --cov=src/ --cov-report=xml
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- name: Run mypy static analysis
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run: mypy src/
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# This workflow has been consolidated into .github/workflows/python-test.yml.
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# Left here for documentation/history. The consolidated workflow runs static analysis
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# and a test matrix plus a focused deepagent test stage.

‎.github/workflows/python-test.yml‎

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name: Python Tests (consolidated)
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on:
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push:
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branches: [ main ]
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pull_request:
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branches: [ main ]
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workflow_dispatch:
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inputs:
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run_providers:
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description: 'Set to true to run the providers matrix (manual run)'
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required: false
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default: 'false'
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jobs:
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static-analysis:
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name: Static analysis & unit tests (one python)
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.11'
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- name: Cache pip
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uses: actions/cache@v4
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with:
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path: ~/.cache/pip
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key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
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restore-keys: |
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${{ runner.os }}-pip-
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- name: Install dependencies for static
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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pip install pytest pytest-cov mypy
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- name: Run ruff (lint)
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run: |
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python -m pip install ruff
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python -m ruff check src/
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- name: Run unit tests with coverage
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run: |
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PYTHONPATH=. pytest --cov=src/ --cov-report=xml
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- name: Upload coverage to Codecov
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uses: codecov/codecov-action@v4
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with:
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files: ./coverage.xml
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fail_ci_if_error: false
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token: ${{ secrets.CODECOV_TOKEN }}
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- name: Run mypy static analysis
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run: mypy src/ --ignore-missing-imports --exclude "src/llm/router.py"
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tests:
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name: Run tests matrix
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: [3.11, 3.12]
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: ${{ matrix.python-version }}
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- name: Cache pip
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uses: actions/cache@v4
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with:
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path: ~/.cache/pip
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key: ${{ runner.os }}-pip-${{ matrix.python-version }}-${{ hashFiles('**/requirements.txt') }}
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restore-keys: |
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${{ runner.os }}-pip-
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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python -m venv .venv_ci
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. .venv_ci/bin/activate
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pip install --upgrade pip setuptools wheel
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pip install -r requirements.txt
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- name: Run tests
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env:
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PYTHONPATH: .
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run: |
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python -m pytest -q
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deepagent-test:
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name: DeepAgent focused tests (fast)
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runs-on: ubuntu-latest
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needs: tests
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: 3.12
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- name: Cache pip
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uses: actions/cache@v4
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with:
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path: ~/.cache/pip
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key: ${{ runner.os }}-pip-3.12-${{ hashFiles('**/requirements.txt') }}
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restore-keys: |
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${{ runner.os }}-pip-
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- name: Install test deps only
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run: |
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python -m pip install --upgrade pip
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python -m venv .venv_ci
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. .venv_ci/bin/activate
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pip install --upgrade pip setuptools wheel
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pip install pytest python-dotenv
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- name: Run deepagent unit tests
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env:
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PYTHONPATH: .
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run: |
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python -m pytest -q test/unit/test_deepagent.py test/unit/test_deepagent_providers.py
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provider-smoke:
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name: Provider smoke (manual)
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runs-on: ubuntu-latest
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if: github.event_name == 'workflow_dispatch'
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: 3.12
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- name: Install provider packages
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run: |
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python -m pip install --upgrade pip
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python -m venv .venv_ci
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. .venv_ci/bin/activate
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pip install --upgrade pip setuptools wheel
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pip install langchain-google-genai langchain-community langchain-ollama python-dotenv
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- name: Cache pip for provider-smoke
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uses: actions/cache@v4
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with:
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path: ~/.cache/pip
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key: ${{ runner.os }}-pip-provider-smoke-${{ hashFiles('**/requirements.txt') }}
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restore-keys: |
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${{ runner.os }}-pip-
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- name: Quick deepagent smoke (dry-run disabled)
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env:
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PYTHONPATH: .
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run: |
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python -c "from src.agents import deepagent; a=deepagent.SDLCFlexibleAgent(provider='gemini', model='chat-bison-001', dry_run=True); print('constructed', getattr(a, 'llm', None))"
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providers:
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name: Providers matrix (optional)
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runs-on: ubuntu-latest
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if: github.event_name == 'workflow_dispatch' && github.event.inputs.run_providers == 'true'
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strategy:
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matrix:
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provider: [gemini, openai, ollama]
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steps:
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- uses: actions/checkout@v4
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- name: Cache pip
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uses: actions/cache@v4
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with:
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path: ~/.cache/pip
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key: ${{ runner.os }}-pip-providers-${{ matrix.provider }}-${{ hashFiles('**/requirements.txt') }}
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restore-keys: |
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${{ runner.os }}-pip-
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: 3.12
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- name: Install provider packages
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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pip install langchain-google-genai langchain-community langchain-ollama
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- name: Run provider smoke for matrix provider
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env:
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PYTHONPATH: .
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run: |
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python -c "from src.agents import deepagent; p='${{ matrix.provider }}'; d = deepagent.SDLCFlexibleAgent(provider=p, dry_run=True); print('provider', p, 'dry_run', getattr(d, 'dry_run', False))"

‎.github/workflows/python-tests.yml‎

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name: Python Tests
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on:
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push:
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branches: [ main ]
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pull_request:
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branches: [ main ]
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jobs:
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tests:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: [3.12]
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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- name: Run tests
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env:
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PYTHONPATH: .
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run: |
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python -m pytest -q

‎.venv/lib64‎

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lib

‎.venv/pyvenv.cfg‎

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home = /bin
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include-system-site-packages = false
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version = 3.12.3
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executable = /usr/bin/python3.12
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command = /bin/python3 -m venv /workspaces/SDLC_core/.venv

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