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Merge pull request #1 from a3ro-dev/feature/ide-ai-enhancements-4819846811561708000
feat: transform aAlem into an AI IDE note writer
2 parents dce3ab6 + 97ddab9 commit a4754a1

10 files changed

Lines changed: 773 additions & 1 deletion

‎.github/workflows/build_and_release.yml‎

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name: Build and Release
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on:
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push:
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branches:
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- main
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tags:
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- 'v*'
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jobs:
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build:
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name: Build on ${{ matrix.os }}
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runs-on: ${{ matrix.os }}
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strategy:
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matrix:
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os: [ubuntu-latest, windows-latest, macos-latest]
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python-version: ["3.12"]
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Install System Dependencies (Linux)
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if: matrix.os == 'ubuntu-latest'
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run: |
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sudo apt-get update
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sudo apt-get install -y libxcb-cursor0
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v5
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with:
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python-version: ${{ matrix.python-version }}
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cache: '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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pip install -r requirements.txt
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pip install pyinstaller
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- name: Build executable (Windows)
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if: matrix.os == 'windows-latest'
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run: |
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pyinstaller --noconfirm --onedir --windowed --add-data "alem.png;." --name "Alem" launch_enhanced.py
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- name: Build executable (macOS/Linux)
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if: matrix.os != 'windows-latest'
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run: |
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pyinstaller --noconfirm --onedir --windowed --add-data "alem.png:." --name "Alem" launch_enhanced.py
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- name: Upload artifact (Windows)
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if: matrix.os == 'windows-latest'
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uses: actions/upload-artifact@v4
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with:
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name: Alem-Windows
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path: dist/Alem
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- name: Upload artifact (Linux)
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if: matrix.os == 'ubuntu-latest'
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uses: actions/upload-artifact@v4
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with:
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name: Alem-Linux
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path: dist/Alem
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- name: Upload artifact (macOS)
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if: matrix.os == 'macos-latest'
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uses: actions/upload-artifact@v4
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with:
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name: Alem-macOS
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path: dist/Alem
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release:
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name: Create Release
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needs: build
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runs-on: ubuntu-latest
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if: github.ref == 'refs/heads/main' || startsWith(github.ref, 'refs/tags/v')
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Download Windows artifact
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uses: actions/download-artifact@v4
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with:
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name: Alem-Windows
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path: Alem-Windows
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- name: Download Linux artifact
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uses: actions/download-artifact@v4
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with:
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name: Alem-Linux
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path: Alem-Linux
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- name: Download macOS artifact
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uses: actions/download-artifact@v4
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with:
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name: Alem-macOS
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path: Alem-macOS
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- name: Zip artifacts
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run: |
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cd Alem-Windows && zip -r ../Alem-Windows.zip . && cd ..
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cd Alem-Linux && zip -r ../Alem-Linux.zip . && cd ..
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cd Alem-macOS && zip -r ../Alem-macOS.zip . && cd ..
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- name: Generate timestamp tag
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if: github.ref == 'refs/heads/main'
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id: tagger
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run: echo "tag=v$(date +'%Y.%m.%d-%H%M%S')" >> $GITHUB_OUTPUT
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- name: Release
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uses: softprops/action-gh-release@v1
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with:
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tag_name: ${{ github.ref == 'refs/heads/main' && steps.tagger.outputs.tag || github.ref_name }}
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files: |
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Alem-Windows.zip
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Alem-Linux.zip
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Alem-macOS.zip
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

‎alem_app/core/llm_router.py‎

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import config
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from openai import OpenAI
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class LLMRouter:
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@staticmethod
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def get_client(provider="groq"):
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app_config = config.config
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if provider == "groq":
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api_key = app_config.get("groq_api_key", "")
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base_url = "https://api.groq.com/openai/v1"
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elif provider == "nvidia":
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api_key = app_config.get("nvidia_api_key", "")
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base_url = "https://integrate.api.nvidia.com/v1"
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elif provider == "glm":
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api_key = app_config.get("glm_api_key", "")
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base_url = "https://open.bigmodel.cn/api/paas/v4/"
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else:
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raise ValueError(f"Unknown provider: {provider}")
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return OpenAI(api_key=api_key, base_url=base_url)
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@staticmethod
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def complete(prompt, system, provider="groq", model=None, stream=False):
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client = LLMRouter.get_client(provider)
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if model is None:
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if provider == "groq":
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model = "llama-3.1-8b-instant"
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elif provider == "nvidia":
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model = "meta/llama-3.3-70b-instruct"
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elif provider == "glm":
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model = "glm-4-flash"
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messages = []
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if system:
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messages.append({"role": "system", "content": system})
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if prompt:
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messages.append({"role": "user", "content": prompt})
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response = client.chat.completions.create(
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model=model,
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messages=messages,
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stream=stream,
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temperature=0.7,
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max_tokens=1024
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)
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return response

‎alem_app/core/suggestion_engine.py‎

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from PyQt6.QtCore import QObject, pyqtSignal, QThread
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from alem_app.core.llm_router import LLMRouter
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import config
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class SuggestionWorker(QThread):
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suggestion_ready = pyqtSignal(str)
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def __init__(self, context: str, full_note: str):
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super().__init__()
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self.context = context
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self.full_note = full_note
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self.is_cancelled = False
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def run(self):
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try:
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app_config = config.config
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if not app_config.get("ai_suggestions_enabled", True):
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return
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provider = "groq"
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if app_config.get("groq_api_key", ""):
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provider = "groq"
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elif app_config.get("nvidia_api_key", ""):
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provider = "nvidia"
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elif app_config.get("glm_api_key", ""):
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provider = "glm"
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else:
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return
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system_prompt = "You are a writing assistant. Complete the user's thought naturally. Output ONLY the completion text, no explanation, no quotes. Maximum 1-2 sentences."
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user_prompt = f"Note context:\n{self.full_note}\n\nComplete this: {self.context}"
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response = LLMRouter.complete(
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prompt=user_prompt,
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system=system_prompt,
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provider=provider,
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model=None, # Fallback to LLMRouter's default per provider
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stream=True
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)
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completion_text = ""
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for chunk in response:
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if self.is_cancelled:
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return
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if chunk.choices and chunk.choices[0].delta.content:
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completion_text += chunk.choices[0].delta.content
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if not self.is_cancelled and completion_text:
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self.suggestion_ready.emit(completion_text)
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except Exception as e:
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from alem_app.utils.logging import logger
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logger.error(f"Error in SuggestionWorker: {e}")
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class SuggestionEngine(QObject):
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suggestion_ready = pyqtSignal(str)
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def __init__(self, parent=None):
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super().__init__(parent)
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self._worker = None
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def request_suggestion(self, context: str, full_note: str):
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self.cancel()
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self._worker = SuggestionWorker(context, full_note)
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self._worker.suggestion_ready.connect(self.suggestion_ready.emit)
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self._worker.start()
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def cancel(self):
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if self._worker and self._worker.isRunning():
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self._worker.is_cancelled = True
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self._worker.quit()
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self._worker.wait()
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self._worker = None

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