feat: custom voice support, CI pipeline, and Renovate config
- VoiceRegistry for trained voices from Kubeflow pipeline - Custom voice routing in synthesize() - NATS subjects for listing/refreshing voices - pyproject.toml with ruff/pytest config - Full test suite (26 tests) - Gitea Actions CI (lint, test, docker, notify) - Renovate config for automated dependency updates Ref: ADR-0056, ADR-0057
This commit is contained in:
196
.gitea/workflows/ci.yml
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196
.gitea/workflows/ci.yml
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@@ -0,0 +1,196 @@
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name: CI
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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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|
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env:
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NTFY_URL: http://ntfy.observability.svc.cluster.local:80
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REGISTRY: gitea-http.gitea.svc.cluster.local:3000/daviestechlabs
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REGISTRY_HOST: gitea-http.gitea.svc.cluster.local:3000
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IMAGE_NAME: tts-module
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|
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jobs:
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lint:
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name: Lint
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runs-on: ubuntu-latest
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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|
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- name: Set up uv
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uses: astral-sh/setup-uv@v7
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with:
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version: "latest"
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activate-environment: false
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- name: Set up Python
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run: uv python install 3.12
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- name: Install dependencies
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run: uv sync --frozen --extra dev
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- name: Run ruff check
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run: uv run ruff check .
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- name: Run ruff format check
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run: uv run ruff format --check .
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test:
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name: Test
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runs-on: ubuntu-latest
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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|
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- name: Set up uv
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uses: astral-sh/setup-uv@v7
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with:
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version: "latest"
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activate-environment: false
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- name: Set up Python
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run: uv python install 3.12
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- name: Install dependencies
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run: uv sync --frozen --extra dev
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- name: Run tests
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run: uv run pytest -v
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release:
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name: Release
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runs-on: ubuntu-latest
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needs: [lint, test]
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if: gitea.ref == 'refs/heads/main' && gitea.event_name == 'push'
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outputs:
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version: ${{ steps.version.outputs.version }}
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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with:
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fetch-depth: 0
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- name: Determine version bump
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id: version
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run: |
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# Get latest tag or default to v0.0.0
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LATEST=$(git describe --tags --abbrev=0 2>/dev/null || echo "v0.0.0")
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VERSION=${LATEST#v}
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IFS='.' read -r MAJOR MINOR PATCH <<< "$VERSION"
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# Check commit message for keywords
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MSG="${{ gitea.event.head_commit.message }}"
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if echo "$MSG" | grep -qiE "^major:|BREAKING CHANGE"; then
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MAJOR=$((MAJOR + 1)); MINOR=0; PATCH=0
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BUMP="major"
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elif echo "$MSG" | grep -qiE "^(minor:|feat:)"; then
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MINOR=$((MINOR + 1)); PATCH=0
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BUMP="minor"
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else
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PATCH=$((PATCH + 1))
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BUMP="patch"
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fi
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NEW_VERSION="v${MAJOR}.${MINOR}.${PATCH}"
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echo "version=$NEW_VERSION" >> $GITHUB_OUTPUT
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echo "bump=$BUMP" >> $GITHUB_OUTPUT
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echo "Bumping $LATEST → $NEW_VERSION ($BUMP)"
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- name: Create and push tag
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run: |
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git config user.name "gitea-actions[bot]"
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git config user.email "actions@git.daviestechlabs.io"
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git tag -a ${{ steps.version.outputs.version }} -m "Release ${{ steps.version.outputs.version }}"
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git push origin ${{ steps.version.outputs.version }}
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docker:
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name: Docker Build & Push
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runs-on: ubuntu-latest
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needs: [lint, test, release]
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if: gitea.ref == 'refs/heads/main' && gitea.event_name == 'push'
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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with:
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buildkitd-config-inline: |
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[registry."gitea-http.gitea.svc.cluster.local:3000"]
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http = true
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insecure = true
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- name: Login to Docker Hub
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if: vars.DOCKERHUB_USERNAME != ''
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uses: docker/login-action@v3
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with:
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username: ${{ vars.DOCKERHUB_USERNAME }}
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password: ${{ secrets.DOCKERHUB_TOKEN }}
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- name: Configure Docker for insecure registry
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run: |
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sudo mkdir -p /etc/docker
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echo '{"insecure-registries": ["${{ env.REGISTRY_HOST }}"]}' | sudo tee /etc/docker/daemon.json
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sudo systemctl restart docker || sudo service docker restart || true
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sleep 2
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- name: Login to Gitea Registry
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run: |
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echo "${{ secrets.REGISTRY_TOKEN }}" | docker login ${{ env.REGISTRY_HOST }} -u ${{ secrets.REGISTRY_USER }} --password-stdin
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- name: Extract metadata
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id: meta
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uses: docker/metadata-action@v5
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with:
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images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
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tags: |
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type=semver,pattern={{version}},value=${{ needs.release.outputs.version }}
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type=semver,pattern={{major}}.{{minor}},value=${{ needs.release.outputs.version }}
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type=raw,value=latest,enable={{is_default_branch}}
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- name: Build and push
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uses: docker/build-push-action@v5
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with:
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context: .
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push: true
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tags: ${{ steps.meta.outputs.tags }}
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labels: ${{ steps.meta.outputs.labels }}
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cache-from: type=gha
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cache-to: type=gha,mode=max
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notify:
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name: Notify
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runs-on: ubuntu-latest
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needs: [lint, test, release, docker]
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if: always()
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steps:
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- name: Notify on success
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if: needs.lint.result == 'success' && needs.test.result == 'success'
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run: |
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curl -s \
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-H "Title: ✅ CI Passed: ${{ gitea.repository }}" \
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-H "Priority: default" \
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-H "Tags: white_check_mark,github" \
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-H "Click: ${{ gitea.server_url }}/${{ gitea.repository }}/actions/runs/${{ gitea.run_id }}" \
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-d "Branch: ${{ gitea.ref_name }}
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Commit: ${{ gitea.event.head_commit.message || gitea.sha }}
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Release: ${{ needs.release.result == 'success' && needs.release.outputs.version || 'skipped' }}
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Docker: ${{ needs.docker.result }}" \
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${{ env.NTFY_URL }}/gitea-ci
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- name: Notify on failure
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if: needs.lint.result == 'failure' || needs.test.result == 'failure'
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run: |
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curl -s \
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-H "Title: ❌ CI Failed: ${{ gitea.repository }}" \
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-H "Priority: high" \
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-H "Tags: x,github" \
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-H "Click: ${{ gitea.server_url }}/${{ gitea.repository }}/actions/runs/${{ gitea.run_id }}" \
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-d "Branch: ${{ gitea.ref_name }}
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Commit: ${{ gitea.event.head_commit.message || gitea.sha }}
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Lint: ${{ needs.lint.result }}
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Test: ${{ needs.test.result }}" \
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${{ env.NTFY_URL }}/gitea-ci
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68
README.md
68
README.md
@@ -11,6 +11,8 @@ This module enables real-time text-to-speech synthesis by accepting text via NAT
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- **NATS Integration**: Accepts TTS requests via NATS messaging
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- **Streaming Audio**: Streams audio chunks back for immediate playback
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- **Voice Cloning**: Support for custom speaker voices via reference audio
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- **Custom Trained Voices**: Automatic discovery of voices trained by the `coqui-voice-training` Argo workflow
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- **Voice Registry**: Lists available voices and refreshes on-demand or periodically
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- **Multi-language**: Support for multiple languages via XTTS
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- **OpenTelemetry**: Full observability with tracing and metrics
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- **HyperDX Support**: Optional cloud observability integration
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@@ -53,13 +55,17 @@ All messages use **msgpack** binary encoding.
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```python
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{
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"text": "Hello, how can I help you today?",
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"speaker": "default", # Optional: speaker ID
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"speaker": "default", # Optional: speaker ID or custom voice name
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"language": "en", # Optional: language code
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"speaker_wav_b64": "...", # Optional: base64 reference audio for voice cloning
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"speaker_wav_b64": "...", # Optional: base64 reference audio for ad-hoc voice cloning
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"stream": True # Optional: stream chunks (default) or send complete audio
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}
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```
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> **Custom voices:** When `speaker` matches the name of a custom trained voice
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> in the voice registry, the service automatically routes to the trained model.
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> No `speaker_wav_b64` is needed for trained voices.
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### Audio Output (ai.voice.tts.audio.{session_id})
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**Streamed Chunk:**
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@@ -106,6 +112,8 @@ All messages use **msgpack** binary encoding.
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| `TTS_DEFAULT_LANGUAGE` | `en` | Default language code |
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| `TTS_AUDIO_CHUNK_SIZE` | `32768` | Audio chunk size in bytes |
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| `TTS_SAMPLE_RATE` | `24000` | Audio sample rate (Hz) |
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| `VOICE_MODEL_STORE` | `/models/tts/custom` | Path to custom voice models (NFS mount) |
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| `VOICE_REGISTRY_REFRESH_SECONDS` | `300` | Interval to rescan model store for new voices |
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| `OTEL_ENABLED` | `true` | Enable OpenTelemetry |
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| `HYPERDX_ENABLED` | `false` | Enable HyperDX observability |
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@@ -164,6 +172,62 @@ request = {
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}
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```
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## Custom Trained Voices
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The `coqui-voice-training` Argo workflow trains custom TTS models and exports
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them to the model store (`VOICE_MODEL_STORE`, default `/models/tts/custom`).
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The TTS module discovers these voices automatically on startup and periodically
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re-scans for newly trained voices.
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### How it works
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1. The voice training pipeline exports a model to `/models/tts/custom/{voice-name}/`
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2. Each directory contains `model.pth`, `config.json`, and `model_info.json`
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3. The TTS module scans the store and registers each voice by name
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4. Requests with `"speaker": "my-voice"` automatically route to the trained model
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### Using a trained voice
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```python
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# Just set the speaker to the voice name — no reference audio needed
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request = {
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"text": "This uses a fine-tuned voice model.",
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"speaker": "my-custom-voice" # Matches {voice-name} from training pipeline
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}
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```
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### Listing available voices
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Send a NATS request to `ai.voice.tts.voices.list`:
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```python
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import nats
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import msgpack
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import asyncio
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async def list_voices():
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nc = await nats.connect("nats://localhost:4222")
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resp = await nc.request("ai.voice.tts.voices.list", b"", timeout=5)
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data = msgpack.unpackb(resp.data, raw=False)
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print(f"Default speaker: {data['default_speaker']}")
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for voice in data["custom_voices"]:
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print(f" - {voice['name']} ({voice['language']}, trained {voice['created_at']})")
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await nc.close()
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asyncio.run(list_voices())
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```
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### Refreshing the voice registry
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Voices are re-scanned every `VOICE_REGISTRY_REFRESH_SECONDS` (default 5 min).
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To trigger an immediate refresh, publish to `ai.voice.tts.voices.refresh`:
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```python
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resp = await nc.request("ai.voice.tts.voices.refresh", b"", timeout=10)
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data = msgpack.unpackb(resp.data, raw=False)
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print(f"Found {data['count']} custom voice(s)")
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```
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## License
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||||
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MIT
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||||
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||||
@@ -3,9 +3,10 @@
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Health check script for Kubernetes probes
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Verifies NATS connectivity
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||||
"""
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||||
import sys
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||||
import os
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import asyncio
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import os
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import sys
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import nats
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55
pyproject.toml
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55
pyproject.toml
Normal file
@@ -0,0 +1,55 @@
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||||
[project]
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||||
name = "tts-module"
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||||
version = "1.0.0"
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description = "Streaming TTS service - text to speech via NATS using Coqui XTTS with custom voice support"
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readme = "README.md"
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requires-python = ">=3.11"
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license = { text = "MIT" }
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authors = [{ name = "Davies Tech Labs" }]
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dependencies = [
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"nats-py>=2.0.0,<3.0.0",
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"httpx>=0.20.0,<1.0.0",
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"msgpack",
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"opentelemetry-api",
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||||
"opentelemetry-sdk",
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||||
"opentelemetry-exporter-otlp-proto-grpc",
|
||||
"opentelemetry-exporter-otlp-proto-http",
|
||||
"opentelemetry-instrumentation-httpx",
|
||||
"opentelemetry-instrumentation-logging",
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||||
]
|
||||
|
||||
[project.optional-dependencies]
|
||||
dev = [
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||||
"pytest>=8.0.0",
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||||
"pytest-asyncio>=0.23.0",
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||||
"ruff>=0.1.0",
|
||||
]
|
||||
|
||||
[build-system]
|
||||
requires = ["hatchling"]
|
||||
build-backend = "hatchling.build"
|
||||
|
||||
[tool.hatch.build.targets.wheel]
|
||||
packages = ["."]
|
||||
only-include = ["tts_streaming.py"]
|
||||
|
||||
[tool.ruff]
|
||||
line-length = 100
|
||||
target-version = "py311"
|
||||
|
||||
[tool.ruff.lint]
|
||||
select = ["E", "F", "W", "I", "UP", "B", "C4", "SIM"]
|
||||
ignore = ["E501"]
|
||||
|
||||
[tool.ruff.format]
|
||||
quote-style = "double"
|
||||
|
||||
[tool.pytest.ini_options]
|
||||
asyncio_mode = "auto"
|
||||
testpaths = ["tests"]
|
||||
python_files = ["test_*.py"]
|
||||
python_classes = ["Test*"]
|
||||
python_functions = ["test_*"]
|
||||
addopts = "-v --tb=short"
|
||||
filterwarnings = ["ignore::DeprecationWarning"]
|
||||
7
renovate.json
Normal file
7
renovate.json
Normal file
@@ -0,0 +1,7 @@
|
||||
{
|
||||
"$schema": "https://docs.renovatebot.com/renovate-schema.json",
|
||||
"extends": [
|
||||
"local>daviestechlabs/renovate-config",
|
||||
"local>daviestechlabs/renovate-config:python"
|
||||
]
|
||||
}
|
||||
0
tests/__init__.py
Normal file
0
tests/__init__.py
Normal file
52
tests/conftest.py
Normal file
52
tests/conftest.py
Normal file
@@ -0,0 +1,52 @@
|
||||
"""
|
||||
Pytest configuration and fixtures for tts-module tests.
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import os
|
||||
from unittest.mock import AsyncMock, MagicMock
|
||||
|
||||
import pytest
|
||||
|
||||
# Set test environment variables before importing
|
||||
os.environ.setdefault("NATS_URL", "nats://localhost:4222")
|
||||
os.environ.setdefault("XTTS_URL", "http://localhost:8000")
|
||||
os.environ.setdefault("OTEL_ENABLED", "false")
|
||||
os.environ.setdefault("VOICE_MODEL_STORE", "/tmp/test-voice-models")
|
||||
|
||||
|
||||
@pytest.fixture(scope="session")
|
||||
def event_loop():
|
||||
"""Create event loop for async tests."""
|
||||
loop = asyncio.new_event_loop()
|
||||
yield loop
|
||||
loop.close()
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def sample_audio_bytes():
|
||||
"""Sample audio bytes for testing (silent 16-bit PCM)."""
|
||||
return bytes([0x00] * 4096)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def mock_nats():
|
||||
"""Mock NATS connection."""
|
||||
nc = AsyncMock()
|
||||
nc.publish = AsyncMock()
|
||||
nc.subscribe = AsyncMock()
|
||||
nc.close = AsyncMock()
|
||||
return nc
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def mock_http_client():
|
||||
"""Mock httpx async client."""
|
||||
client = AsyncMock()
|
||||
response = MagicMock()
|
||||
response.status_code = 200
|
||||
response.content = bytes([0x00] * 2048)
|
||||
response.raise_for_status = MagicMock()
|
||||
client.post = AsyncMock(return_value=response)
|
||||
client.aclose = AsyncMock()
|
||||
return client
|
||||
416
tests/test_tts_streaming.py
Normal file
416
tests/test_tts_streaming.py
Normal file
@@ -0,0 +1,416 @@
|
||||
"""
|
||||
Unit tests for TTS streaming service.
|
||||
"""
|
||||
|
||||
import base64
|
||||
import json
|
||||
from unittest.mock import AsyncMock, MagicMock, patch
|
||||
|
||||
import msgpack
|
||||
import pytest
|
||||
|
||||
from tts_streaming import (
|
||||
AUDIO_SUBJECT_PREFIX,
|
||||
DEFAULT_LANGUAGE,
|
||||
DEFAULT_SPEAKER,
|
||||
STATUS_SUBJECT_PREFIX,
|
||||
CustomVoice,
|
||||
StreamingTTS,
|
||||
VoiceRegistry,
|
||||
)
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# VoiceRegistry tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestCustomVoice:
|
||||
"""Tests for CustomVoice dataclass."""
|
||||
|
||||
def test_defaults(self):
|
||||
voice = CustomVoice(
|
||||
name="test-voice",
|
||||
model_path="/models/tts/custom/test-voice/model.pth",
|
||||
config_path="/models/tts/custom/test-voice/config.json",
|
||||
created_at="2026-02-13T00:00:00",
|
||||
)
|
||||
assert voice.name == "test-voice"
|
||||
assert voice.language == "en"
|
||||
assert voice.model_type == "coqui-tts"
|
||||
|
||||
def test_custom_fields(self):
|
||||
voice = CustomVoice(
|
||||
name="german-voice",
|
||||
model_path="/m/model.pth",
|
||||
config_path="",
|
||||
created_at="2026-01-01",
|
||||
language="de",
|
||||
model_type="custom-vits",
|
||||
)
|
||||
assert voice.language == "de"
|
||||
assert voice.model_type == "custom-vits"
|
||||
|
||||
|
||||
class TestVoiceRegistry:
|
||||
"""Tests for VoiceRegistry discovery."""
|
||||
|
||||
def test_empty_store(self, tmp_path):
|
||||
"""Registry returns 0 when the store directory is empty."""
|
||||
registry = VoiceRegistry(str(tmp_path))
|
||||
count = registry.refresh()
|
||||
assert count == 0
|
||||
assert registry.list_voices() == []
|
||||
|
||||
def test_missing_store(self, tmp_path):
|
||||
"""Registry handles a non-existent store gracefully."""
|
||||
registry = VoiceRegistry(str(tmp_path / "does-not-exist"))
|
||||
count = registry.refresh()
|
||||
assert count == 0
|
||||
|
||||
def test_discovers_valid_voice(self, tmp_path):
|
||||
"""Registry discovers a voice directory with model_info.json + model.pth."""
|
||||
voice_dir = tmp_path / "alice"
|
||||
voice_dir.mkdir()
|
||||
(voice_dir / "model.pth").write_bytes(b"fake-weights")
|
||||
(voice_dir / "config.json").write_text("{}")
|
||||
(voice_dir / "model_info.json").write_text(
|
||||
json.dumps(
|
||||
{
|
||||
"name": "alice",
|
||||
"created_at": "2026-02-13T12:00:00",
|
||||
"type": "coqui-tts",
|
||||
}
|
||||
)
|
||||
)
|
||||
|
||||
registry = VoiceRegistry(str(tmp_path))
|
||||
count = registry.refresh()
|
||||
|
||||
assert count == 1
|
||||
voice = registry.get("alice")
|
||||
assert voice is not None
|
||||
assert voice.name == "alice"
|
||||
assert voice.model_path == str(voice_dir / "model.pth")
|
||||
assert voice.config_path == str(voice_dir / "config.json")
|
||||
|
||||
def test_skips_dir_without_model_pth(self, tmp_path):
|
||||
"""Directories missing model.pth are skipped."""
|
||||
voice_dir = tmp_path / "broken"
|
||||
voice_dir.mkdir()
|
||||
(voice_dir / "model_info.json").write_text(json.dumps({"name": "broken"}))
|
||||
# no model.pth
|
||||
|
||||
registry = VoiceRegistry(str(tmp_path))
|
||||
assert registry.refresh() == 0
|
||||
|
||||
def test_skips_dir_without_model_info(self, tmp_path):
|
||||
"""Directories missing model_info.json are skipped."""
|
||||
voice_dir = tmp_path / "no-info"
|
||||
voice_dir.mkdir()
|
||||
(voice_dir / "model.pth").write_bytes(b"data")
|
||||
|
||||
registry = VoiceRegistry(str(tmp_path))
|
||||
assert registry.refresh() == 0
|
||||
|
||||
def test_skips_plain_files(self, tmp_path):
|
||||
"""Plain files in the store root are ignored."""
|
||||
(tmp_path / "readme.txt").write_text("hello")
|
||||
|
||||
registry = VoiceRegistry(str(tmp_path))
|
||||
assert registry.refresh() == 0
|
||||
|
||||
def test_multiple_voices(self, tmp_path):
|
||||
"""Multiple valid voices are all discovered."""
|
||||
for name in ("alice", "bob", "charlie"):
|
||||
d = tmp_path / name
|
||||
d.mkdir()
|
||||
(d / "model.pth").write_bytes(b"w")
|
||||
(d / "model_info.json").write_text(json.dumps({"name": name}))
|
||||
|
||||
registry = VoiceRegistry(str(tmp_path))
|
||||
assert registry.refresh() == 3
|
||||
names = {v["name"] for v in registry.list_voices()}
|
||||
assert names == {"alice", "bob", "charlie"}
|
||||
|
||||
def test_refresh_detects_new_and_removed(self, tmp_path):
|
||||
"""Subsequent refresh picks up additions and removals."""
|
||||
d = tmp_path / "v1"
|
||||
d.mkdir()
|
||||
(d / "model.pth").write_bytes(b"w")
|
||||
(d / "model_info.json").write_text(json.dumps({"name": "v1"}))
|
||||
|
||||
registry = VoiceRegistry(str(tmp_path))
|
||||
assert registry.refresh() == 1
|
||||
|
||||
# Add a second voice
|
||||
d2 = tmp_path / "v2"
|
||||
d2.mkdir()
|
||||
(d2 / "model.pth").write_bytes(b"w")
|
||||
(d2 / "model_info.json").write_text(json.dumps({"name": "v2"}))
|
||||
|
||||
assert registry.refresh() == 2
|
||||
assert registry.get("v2") is not None
|
||||
|
||||
# Remove first voice
|
||||
import shutil
|
||||
|
||||
shutil.rmtree(d)
|
||||
assert registry.refresh() == 1
|
||||
assert registry.get("v1") is None
|
||||
|
||||
def test_get_returns_none_for_unknown(self, tmp_path):
|
||||
registry = VoiceRegistry(str(tmp_path))
|
||||
registry.refresh()
|
||||
assert registry.get("nonexistent") is None
|
||||
|
||||
def test_list_voices_serialization(self, tmp_path):
|
||||
"""list_voices returns dicts suitable for msgpack."""
|
||||
d = tmp_path / "voice1"
|
||||
d.mkdir()
|
||||
(d / "model.pth").write_bytes(b"w")
|
||||
(d / "model_info.json").write_text(
|
||||
json.dumps(
|
||||
{
|
||||
"name": "voice1",
|
||||
"language": "fr",
|
||||
"type": "coqui-tts",
|
||||
"created_at": "2026-02-13",
|
||||
}
|
||||
)
|
||||
)
|
||||
|
||||
registry = VoiceRegistry(str(tmp_path))
|
||||
registry.refresh()
|
||||
voices = registry.list_voices()
|
||||
|
||||
assert len(voices) == 1
|
||||
v = voices[0]
|
||||
assert v["name"] == "voice1"
|
||||
assert v["language"] == "fr"
|
||||
# Verify it's msgpack-serializable
|
||||
packed = msgpack.packb(voices)
|
||||
assert msgpack.unpackb(packed, raw=False) == voices
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# StreamingTTS tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestStreamingTTS:
|
||||
"""Tests for the StreamingTTS service."""
|
||||
|
||||
@pytest.fixture
|
||||
def service(self, tmp_path):
|
||||
"""Create a StreamingTTS instance with mocked dependencies."""
|
||||
with patch("tts_streaming.VOICE_MODEL_STORE", str(tmp_path)):
|
||||
svc = StreamingTTS()
|
||||
svc.nc = AsyncMock()
|
||||
svc.js = AsyncMock()
|
||||
svc.http_client = AsyncMock()
|
||||
svc.is_healthy = True
|
||||
|
||||
# Setup voice registry with a test voice
|
||||
d = tmp_path / "test-voice"
|
||||
d.mkdir()
|
||||
(d / "model.pth").write_bytes(b"w")
|
||||
(d / "config.json").write_text("{}")
|
||||
(d / "model_info.json").write_text(
|
||||
json.dumps({"name": "test-voice", "language": "en", "type": "coqui-tts"})
|
||||
)
|
||||
svc.voice_registry = VoiceRegistry(str(tmp_path))
|
||||
svc.voice_registry.refresh()
|
||||
|
||||
yield svc
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_synthesize_default_speaker(self, service, mock_http_client):
|
||||
"""Synthesis with default speaker sends basic payload."""
|
||||
service.http_client = mock_http_client
|
||||
|
||||
result = await service.synthesize("Hello world")
|
||||
|
||||
assert result is not None
|
||||
call_kwargs = mock_http_client.post.call_args
|
||||
payload = call_kwargs.kwargs["json"]
|
||||
assert payload["text"] == "Hello world"
|
||||
assert payload["speaker"] == DEFAULT_SPEAKER
|
||||
assert payload["language"] == DEFAULT_LANGUAGE
|
||||
assert "model_path" not in payload
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_synthesize_custom_voice(self, service, mock_http_client):
|
||||
"""Synthesis with a registered custom voice includes model_path."""
|
||||
service.http_client = mock_http_client
|
||||
|
||||
result = await service.synthesize("Hello", speaker="test-voice")
|
||||
|
||||
assert result is not None
|
||||
payload = mock_http_client.post.call_args.kwargs["json"]
|
||||
assert payload["speaker"] == "test-voice"
|
||||
assert "model_path" in payload
|
||||
assert payload["model_path"].endswith("model.pth")
|
||||
assert "config_path" in payload
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_synthesize_ad_hoc_cloning(self, service, mock_http_client):
|
||||
"""Synthesis with speaker_wav_b64 uses ad-hoc voice cloning."""
|
||||
service.http_client = mock_http_client
|
||||
wav_b64 = base64.b64encode(b"fake-audio").decode()
|
||||
|
||||
result = await service.synthesize("Hello", speaker_wav_b64=wav_b64)
|
||||
|
||||
assert result is not None
|
||||
payload = mock_http_client.post.call_args.kwargs["json"]
|
||||
assert payload["speaker_wav"] == wav_b64
|
||||
assert "model_path" not in payload
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_synthesize_unknown_speaker_no_clone(self, service, mock_http_client):
|
||||
"""Unknown speaker without reference audio falls through to default."""
|
||||
service.http_client = mock_http_client
|
||||
|
||||
await service.synthesize("Hello", speaker="unknown-voice")
|
||||
|
||||
payload = mock_http_client.post.call_args.kwargs["json"]
|
||||
assert payload["speaker"] == "unknown-voice"
|
||||
assert "model_path" not in payload
|
||||
assert "speaker_wav" not in payload
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_synthesize_failure_returns_none(self, service):
|
||||
"""Synthesis returns None on HTTP error."""
|
||||
service.http_client = AsyncMock()
|
||||
service.http_client.post = AsyncMock(side_effect=Exception("connection refused"))
|
||||
|
||||
result = await service.synthesize("Hello")
|
||||
assert result is None
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_stream_audio_publishes_chunks(self, service, sample_audio_bytes):
|
||||
"""stream_audio publishes chunked messages to NATS."""
|
||||
await service.stream_audio("sess-1", sample_audio_bytes)
|
||||
|
||||
assert service.nc.publish.called
|
||||
# Verify at least one chunk was published
|
||||
call_args = service.nc.publish.call_args_list
|
||||
assert len(call_args) >= 1
|
||||
|
||||
subject = call_args[0].args[0]
|
||||
assert subject == f"{AUDIO_SUBJECT_PREFIX}.sess-1"
|
||||
|
||||
data = msgpack.unpackb(call_args[-1].args[1], raw=False)
|
||||
assert data["is_last"] is True
|
||||
assert data["session_id"] == "sess-1"
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_handle_request_empty_text(self, service):
|
||||
"""Requests with empty text publish an error status."""
|
||||
msg = MagicMock()
|
||||
msg.subject = "ai.voice.tts.request.sess-1"
|
||||
msg.data = msgpack.packb({"text": ""})
|
||||
|
||||
await service.handle_request(msg)
|
||||
|
||||
# Should publish error status
|
||||
status_calls = [
|
||||
c
|
||||
for c in service.nc.publish.call_args_list
|
||||
if c.args[0].startswith(STATUS_SUBJECT_PREFIX)
|
||||
]
|
||||
assert len(status_calls) >= 1
|
||||
status_data = msgpack.unpackb(status_calls[0].args[1], raw=False)
|
||||
assert status_data["status"] == "error"
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_handle_request_success(self, service, mock_http_client):
|
||||
"""Successful request publishes audio and completed status."""
|
||||
service.http_client = mock_http_client
|
||||
|
||||
msg = MagicMock()
|
||||
msg.subject = "ai.voice.tts.request.sess-2"
|
||||
msg.data = msgpack.packb({"text": "Hello world", "stream": True})
|
||||
|
||||
await service.handle_request(msg)
|
||||
|
||||
subjects = [c.args[0] for c in service.nc.publish.call_args_list]
|
||||
# Should have status (processing), audio chunk(s), and status (completed)
|
||||
assert any(s.startswith(STATUS_SUBJECT_PREFIX) for s in subjects)
|
||||
assert any(s.startswith(AUDIO_SUBJECT_PREFIX) for s in subjects)
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_handle_request_with_custom_voice(self, service, mock_http_client):
|
||||
"""Request with custom voice speaker uses trained model."""
|
||||
service.http_client = mock_http_client
|
||||
|
||||
msg = MagicMock()
|
||||
msg.subject = "ai.voice.tts.request.sess-3"
|
||||
msg.data = msgpack.packb({"text": "Hello", "speaker": "test-voice", "stream": False})
|
||||
|
||||
await service.handle_request(msg)
|
||||
|
||||
# Verify XTTS was called with model_path
|
||||
payload = mock_http_client.post.call_args.kwargs["json"]
|
||||
assert payload["speaker"] == "test-voice"
|
||||
assert "model_path" in payload
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_handle_list_voices(self, service):
|
||||
"""handle_list_voices returns voice list via request-reply."""
|
||||
msg = MagicMock()
|
||||
msg.reply = "reply-inbox"
|
||||
msg.respond = AsyncMock()
|
||||
|
||||
await service.handle_list_voices(msg)
|
||||
|
||||
msg.respond.assert_called_once()
|
||||
data = msgpack.unpackb(msg.respond.call_args.args[0], raw=False)
|
||||
assert data["default_speaker"] == DEFAULT_SPEAKER
|
||||
assert len(data["custom_voices"]) == 1
|
||||
assert data["custom_voices"][0]["name"] == "test-voice"
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_handle_list_voices_no_reply(self, service):
|
||||
"""handle_list_voices does not crash when msg.reply is None."""
|
||||
msg = MagicMock()
|
||||
msg.reply = None
|
||||
msg.respond = AsyncMock()
|
||||
|
||||
await service.handle_list_voices(msg)
|
||||
msg.respond.assert_not_called()
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_handle_refresh_voices(self, service):
|
||||
"""handle_refresh_voices rescans and returns updated count."""
|
||||
msg = MagicMock()
|
||||
msg.reply = "reply-inbox"
|
||||
msg.respond = AsyncMock()
|
||||
|
||||
await service.handle_refresh_voices(msg)
|
||||
|
||||
msg.respond.assert_called_once()
|
||||
data = msgpack.unpackb(msg.respond.call_args.args[0], raw=False)
|
||||
assert data["count"] == 1
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_publish_status(self, service):
|
||||
"""publish_status sends msgpack status to correct subject."""
|
||||
await service.publish_status("sess-1", "completed", "Done")
|
||||
|
||||
service.nc.publish.assert_called_once()
|
||||
subject = service.nc.publish.call_args.args[0]
|
||||
assert subject == f"{STATUS_SUBJECT_PREFIX}.sess-1"
|
||||
data = msgpack.unpackb(service.nc.publish.call_args.args[1], raw=False)
|
||||
assert data["status"] == "completed"
|
||||
assert data["message"] == "Done"
|
||||
|
||||
def test_invalid_subject_format(self, service):
|
||||
"""Requests with too few subject segments are skipped."""
|
||||
msg = MagicMock()
|
||||
msg.subject = "ai.voice.tts" # Missing request.{session_id}
|
||||
msg.data = msgpack.packb({"text": "test"})
|
||||
|
||||
# Should not raise
|
||||
import asyncio
|
||||
|
||||
asyncio.get_event_loop().run_until_complete(service.handle_request(msg))
|
||||
298
tts_streaming.py
298
tts_streaming.py
@@ -10,13 +10,17 @@ Real-time Text-to-Speech service that processes synthesis requests from NATS:
|
||||
|
||||
This enables real-time voice synthesis for voice assistant applications.
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import base64
|
||||
import contextlib
|
||||
import json
|
||||
import logging
|
||||
import os
|
||||
import signal
|
||||
import time
|
||||
from typing import Dict, Optional
|
||||
from dataclasses import dataclass
|
||||
from pathlib import Path
|
||||
|
||||
import httpx
|
||||
import msgpack
|
||||
@@ -25,23 +29,26 @@ import nats.js
|
||||
from nats.aio.msg import Msg
|
||||
|
||||
# OpenTelemetry imports
|
||||
from opentelemetry import trace, metrics
|
||||
from opentelemetry.sdk.trace import TracerProvider
|
||||
from opentelemetry.sdk.trace.export import BatchSpanProcessor
|
||||
from opentelemetry.sdk.metrics import MeterProvider
|
||||
from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
|
||||
from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
|
||||
from opentelemetry import metrics, trace
|
||||
from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import OTLPMetricExporter
|
||||
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter as OTLPSpanExporterHTTP
|
||||
from opentelemetry.exporter.otlp.proto.http.metric_exporter import OTLPMetricExporter as OTLPMetricExporterHTTP
|
||||
from opentelemetry.sdk.resources import Resource, SERVICE_NAME, SERVICE_VERSION, SERVICE_NAMESPACE
|
||||
from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
|
||||
from opentelemetry.exporter.otlp.proto.http.metric_exporter import (
|
||||
OTLPMetricExporter as OTLPMetricExporterHTTP,
|
||||
)
|
||||
from opentelemetry.exporter.otlp.proto.http.trace_exporter import (
|
||||
OTLPSpanExporter as OTLPSpanExporterHTTP,
|
||||
)
|
||||
from opentelemetry.instrumentation.httpx import HTTPXClientInstrumentor
|
||||
from opentelemetry.instrumentation.logging import LoggingInstrumentor
|
||||
from opentelemetry.sdk.metrics import MeterProvider
|
||||
from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
|
||||
from opentelemetry.sdk.resources import SERVICE_NAME, SERVICE_NAMESPACE, SERVICE_VERSION, Resource
|
||||
from opentelemetry.sdk.trace import TracerProvider
|
||||
from opentelemetry.sdk.trace.export import BatchSpanProcessor
|
||||
|
||||
# Configure logging
|
||||
logging.basicConfig(
|
||||
level=logging.INFO,
|
||||
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
|
||||
level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
|
||||
)
|
||||
logger = logging.getLogger("tts-streaming")
|
||||
|
||||
@@ -53,7 +60,10 @@ def setup_telemetry():
|
||||
logger.info("OpenTelemetry disabled")
|
||||
return None, None
|
||||
|
||||
otel_endpoint = os.environ.get("OTEL_EXPORTER_OTLP_ENDPOINT", "http://opentelemetry-collector.observability.svc.cluster.local:4317")
|
||||
otel_endpoint = os.environ.get(
|
||||
"OTEL_EXPORTER_OTLP_ENDPOINT",
|
||||
"http://opentelemetry-collector.observability.svc.cluster.local:4317",
|
||||
)
|
||||
service_name = os.environ.get("OTEL_SERVICE_NAME", "tts-streaming")
|
||||
service_namespace = os.environ.get("OTEL_SERVICE_NAMESPACE", "ai-ml")
|
||||
|
||||
@@ -61,13 +71,15 @@ def setup_telemetry():
|
||||
hyperdx_endpoint = os.environ.get("HYPERDX_ENDPOINT", "https://in-otel.hyperdx.io")
|
||||
use_hyperdx = os.environ.get("HYPERDX_ENABLED", "false").lower() == "true" and hyperdx_api_key
|
||||
|
||||
resource = Resource.create({
|
||||
SERVICE_NAME: service_name,
|
||||
SERVICE_VERSION: os.environ.get("SERVICE_VERSION", "1.0.0"),
|
||||
SERVICE_NAMESPACE: service_namespace,
|
||||
"deployment.environment": os.environ.get("DEPLOYMENT_ENV", "production"),
|
||||
"host.name": os.environ.get("HOSTNAME", "unknown"),
|
||||
})
|
||||
resource = Resource.create(
|
||||
{
|
||||
SERVICE_NAME: service_name,
|
||||
SERVICE_VERSION: os.environ.get("SERVICE_VERSION", "1.0.0"),
|
||||
SERVICE_NAMESPACE: service_namespace,
|
||||
"deployment.environment": os.environ.get("DEPLOYMENT_ENV", "production"),
|
||||
"host.name": os.environ.get("HOSTNAME", "unknown"),
|
||||
}
|
||||
)
|
||||
|
||||
trace_provider = TracerProvider(resource=resource)
|
||||
|
||||
@@ -75,12 +87,10 @@ def setup_telemetry():
|
||||
logger.info(f"Configuring HyperDX exporter at {hyperdx_endpoint}")
|
||||
headers = {"authorization": hyperdx_api_key}
|
||||
otlp_span_exporter = OTLPSpanExporterHTTP(
|
||||
endpoint=f"{hyperdx_endpoint}/v1/traces",
|
||||
headers=headers
|
||||
endpoint=f"{hyperdx_endpoint}/v1/traces", headers=headers
|
||||
)
|
||||
otlp_metric_exporter = OTLPMetricExporterHTTP(
|
||||
endpoint=f"{hyperdx_endpoint}/v1/metrics",
|
||||
headers=headers
|
||||
endpoint=f"{hyperdx_endpoint}/v1/metrics", headers=headers
|
||||
)
|
||||
else:
|
||||
otlp_span_exporter = OTLPSpanExporter(endpoint=otel_endpoint, insecure=True)
|
||||
@@ -89,7 +99,9 @@ def setup_telemetry():
|
||||
trace_provider.add_span_processor(BatchSpanProcessor(otlp_span_exporter))
|
||||
trace.set_tracer_provider(trace_provider)
|
||||
|
||||
metric_reader = PeriodicExportingMetricReader(otlp_metric_exporter, export_interval_millis=60000)
|
||||
metric_reader = PeriodicExportingMetricReader(
|
||||
otlp_metric_exporter, export_interval_millis=60000
|
||||
)
|
||||
meter_provider = MeterProvider(resource=resource, metric_readers=[metric_reader])
|
||||
metrics.set_meter_provider(meter_provider)
|
||||
|
||||
@@ -110,6 +122,8 @@ NATS_URL = os.environ.get("NATS_URL", "nats://nats.ai-ml.svc.cluster.local:4222"
|
||||
REQUEST_SUBJECT_PREFIX = "ai.voice.tts.request" # ai.voice.tts.request.{session_id}
|
||||
AUDIO_SUBJECT_PREFIX = "ai.voice.tts.audio" # ai.voice.tts.audio.{session_id}
|
||||
STATUS_SUBJECT_PREFIX = "ai.voice.tts.status" # ai.voice.tts.status.{session_id}
|
||||
VOICES_LIST_SUBJECT = "ai.voice.tts.voices.list" # List available voices
|
||||
VOICES_REFRESH_SUBJECT = "ai.voice.tts.voices.refresh" # Trigger registry refresh
|
||||
|
||||
# TTS parameters
|
||||
DEFAULT_SPEAKER = os.environ.get("TTS_DEFAULT_SPEAKER", "default")
|
||||
@@ -117,6 +131,110 @@ DEFAULT_LANGUAGE = os.environ.get("TTS_DEFAULT_LANGUAGE", "en")
|
||||
AUDIO_CHUNK_SIZE = int(os.environ.get("TTS_AUDIO_CHUNK_SIZE", "32768")) # 32KB chunks for streaming
|
||||
SAMPLE_RATE = int(os.environ.get("TTS_SAMPLE_RATE", "24000")) # XTTS default sample rate
|
||||
|
||||
# Custom voice model store (populated by coqui-voice-training Argo workflow)
|
||||
VOICE_MODEL_STORE = os.environ.get("VOICE_MODEL_STORE", "/models/tts/custom")
|
||||
VOICE_REGISTRY_REFRESH_SECONDS = int(os.environ.get("VOICE_REGISTRY_REFRESH_SECONDS", "300"))
|
||||
|
||||
|
||||
@dataclass
|
||||
class CustomVoice:
|
||||
"""A custom trained voice produced by the coqui-voice-training pipeline."""
|
||||
|
||||
name: str
|
||||
model_path: str
|
||||
config_path: str
|
||||
created_at: str
|
||||
language: str = "en"
|
||||
model_type: str = "coqui-tts"
|
||||
|
||||
|
||||
class VoiceRegistry:
|
||||
"""Registry of custom trained voices discovered from the model store.
|
||||
|
||||
Scans ``VOICE_MODEL_STORE`` for directories produced by the
|
||||
``coqui-voice-training`` Argo workflow. Each directory must contain
|
||||
``model_info.json`` and ``model.pth``.
|
||||
"""
|
||||
|
||||
def __init__(self, model_store_path: str) -> None:
|
||||
self.model_store = Path(model_store_path)
|
||||
self.voices: dict[str, CustomVoice] = {}
|
||||
self._last_refresh: float = 0.0
|
||||
|
||||
def refresh(self) -> int:
|
||||
"""Scan the model store for available custom voices.
|
||||
|
||||
Returns:
|
||||
Number of voices discovered.
|
||||
"""
|
||||
if not self.model_store.exists():
|
||||
logger.warning(f"Voice model store not found: {self.model_store}")
|
||||
return 0
|
||||
|
||||
discovered: dict[str, CustomVoice] = {}
|
||||
for voice_dir in self.model_store.iterdir():
|
||||
if not voice_dir.is_dir():
|
||||
continue
|
||||
|
||||
model_info_path = voice_dir / "model_info.json"
|
||||
if not model_info_path.exists():
|
||||
continue
|
||||
|
||||
try:
|
||||
with open(model_info_path) as f:
|
||||
info = json.load(f)
|
||||
|
||||
model_path = voice_dir / "model.pth"
|
||||
config_path = voice_dir / "config.json"
|
||||
|
||||
if not model_path.exists():
|
||||
logger.warning(f"Model file missing for voice: {voice_dir.name}")
|
||||
continue
|
||||
|
||||
voice = CustomVoice(
|
||||
name=info.get("name", voice_dir.name),
|
||||
model_path=str(model_path),
|
||||
config_path=str(config_path) if config_path.exists() else "",
|
||||
created_at=info.get("created_at", ""),
|
||||
language=info.get("language", "en"),
|
||||
model_type=info.get("type", "coqui-tts"),
|
||||
)
|
||||
discovered[voice.name] = voice
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to load voice info from {voice_dir}: {e}")
|
||||
continue
|
||||
|
||||
added = set(discovered) - set(self.voices)
|
||||
removed = set(self.voices) - set(discovered)
|
||||
|
||||
if added:
|
||||
logger.info(f"New voices discovered: {', '.join(sorted(added))}")
|
||||
if removed:
|
||||
logger.info(f"Voices removed: {', '.join(sorted(removed))}")
|
||||
|
||||
self.voices = discovered
|
||||
self._last_refresh = time.time()
|
||||
|
||||
logger.info(f"Voice registry refreshed: {len(self.voices)} custom voice(s) available")
|
||||
return len(self.voices)
|
||||
|
||||
def get(self, name: str) -> CustomVoice | None:
|
||||
"""Get a custom voice by name."""
|
||||
return self.voices.get(name)
|
||||
|
||||
def list_voices(self) -> list[dict]:
|
||||
"""List all available custom voices as serialisable dicts."""
|
||||
return [
|
||||
{
|
||||
"name": v.name,
|
||||
"language": v.language,
|
||||
"model_type": v.model_type,
|
||||
"created_at": v.created_at,
|
||||
}
|
||||
for v in self.voices.values()
|
||||
]
|
||||
|
||||
|
||||
class StreamingTTS:
|
||||
"""Streaming Text-to-Speech service using Coqui XTTS."""
|
||||
@@ -131,7 +249,8 @@ class StreamingTTS:
|
||||
self.meter = None
|
||||
self.synthesis_counter = None
|
||||
self.synthesis_duration = None
|
||||
self.active_sessions: Dict[str, dict] = {}
|
||||
self.active_sessions: dict[str, dict] = {}
|
||||
self.voice_registry = VoiceRegistry(VOICE_MODEL_STORE)
|
||||
|
||||
async def setup(self):
|
||||
"""Initialize connections."""
|
||||
@@ -141,12 +260,12 @@ class StreamingTTS:
|
||||
self.synthesis_counter = self.meter.create_counter(
|
||||
name="tts_synthesis_total",
|
||||
description="Total number of TTS synthesis requests",
|
||||
unit="1"
|
||||
unit="1",
|
||||
)
|
||||
self.synthesis_duration = self.meter.create_histogram(
|
||||
name="tts_synthesis_duration_seconds",
|
||||
description="Duration of TTS synthesis",
|
||||
unit="s"
|
||||
unit="s",
|
||||
)
|
||||
|
||||
# NATS connection
|
||||
@@ -174,14 +293,30 @@ class StreamingTTS:
|
||||
self.http_client = httpx.AsyncClient(timeout=180.0)
|
||||
logger.info("HTTP client initialized")
|
||||
|
||||
# Discover custom voices from model store
|
||||
self.voice_registry.refresh()
|
||||
|
||||
self.is_healthy = True
|
||||
|
||||
async def synthesize(self, text: str, speaker: str = None, language: str = None,
|
||||
speaker_wav_b64: str = None) -> Optional[bytes]:
|
||||
"""Synthesize speech using XTTS API."""
|
||||
async def synthesize(
|
||||
self,
|
||||
text: str,
|
||||
speaker: str = None,
|
||||
language: str = None,
|
||||
speaker_wav_b64: str = None,
|
||||
) -> bytes | None:
|
||||
"""Synthesize speech using XTTS API.
|
||||
|
||||
When *speaker* matches a custom voice from the voice registry the
|
||||
request is enriched with the trained model path so the XTTS backend
|
||||
loads the fine-tuned model instead of the default one.
|
||||
"""
|
||||
start_time = time.time()
|
||||
|
||||
try:
|
||||
# Check if speaker matches a custom trained voice
|
||||
custom_voice = self.voice_registry.get(speaker) if speaker else None
|
||||
|
||||
# Build request payload
|
||||
payload = {
|
||||
"text": text,
|
||||
@@ -189,15 +324,21 @@ class StreamingTTS:
|
||||
"language": language or DEFAULT_LANGUAGE,
|
||||
}
|
||||
|
||||
# Add speaker reference audio for voice cloning if provided
|
||||
if speaker_wav_b64:
|
||||
if custom_voice:
|
||||
# Custom voice from coqui-voice-training pipeline
|
||||
payload["model_path"] = custom_voice.model_path
|
||||
if custom_voice.config_path:
|
||||
payload["config_path"] = custom_voice.config_path
|
||||
payload["language"] = language or custom_voice.language
|
||||
logger.info(
|
||||
f"Using custom voice '{custom_voice.name}' from {custom_voice.model_path}"
|
||||
)
|
||||
elif speaker_wav_b64:
|
||||
# Ad-hoc voice cloning via reference audio
|
||||
payload["speaker_wav"] = speaker_wav_b64
|
||||
|
||||
# Call XTTS API
|
||||
response = await self.http_client.post(
|
||||
f"{XTTS_URL}/v1/audio/speech",
|
||||
json=payload
|
||||
)
|
||||
response = await self.http_client.post(f"{XTTS_URL}/v1/audio/speech", json=payload)
|
||||
response.raise_for_status()
|
||||
|
||||
audio_bytes = response.content
|
||||
@@ -206,10 +347,13 @@ class StreamingTTS:
|
||||
audio_duration = len(audio_bytes) / (SAMPLE_RATE * 2) # 16-bit audio
|
||||
rtf = duration / audio_duration if audio_duration > 0 else 0
|
||||
|
||||
logger.info(f"Synthesized {len(audio_bytes)} bytes in {duration:.2f}s (RTF: {rtf:.2f})")
|
||||
voice_label = custom_voice.name if custom_voice else (speaker or DEFAULT_SPEAKER)
|
||||
logger.info(
|
||||
f"Synthesized {len(audio_bytes)} bytes in {duration:.2f}s (RTF: {rtf:.2f}, voice: {voice_label})"
|
||||
)
|
||||
|
||||
if self.synthesis_duration:
|
||||
self.synthesis_duration.record(duration, {"speaker": speaker or DEFAULT_SPEAKER})
|
||||
self.synthesis_duration.record(duration, {"speaker": voice_label})
|
||||
|
||||
return audio_bytes
|
||||
|
||||
@@ -222,7 +366,7 @@ class StreamingTTS:
|
||||
total_chunks = (len(audio_bytes) + AUDIO_CHUNK_SIZE - 1) // AUDIO_CHUNK_SIZE
|
||||
|
||||
for i in range(0, len(audio_bytes), AUDIO_CHUNK_SIZE):
|
||||
chunk = audio_bytes[i:i + AUDIO_CHUNK_SIZE]
|
||||
chunk = audio_bytes[i : i + AUDIO_CHUNK_SIZE]
|
||||
chunk_index = i // AUDIO_CHUNK_SIZE
|
||||
is_last = (i + AUDIO_CHUNK_SIZE) >= len(audio_bytes)
|
||||
|
||||
@@ -236,10 +380,7 @@ class StreamingTTS:
|
||||
"sample_rate": SAMPLE_RATE,
|
||||
}
|
||||
|
||||
await self.nc.publish(
|
||||
f"{AUDIO_SUBJECT_PREFIX}.{session_id}",
|
||||
msgpack.packb(message)
|
||||
)
|
||||
await self.nc.publish(f"{AUDIO_SUBJECT_PREFIX}.{session_id}", msgpack.packb(message))
|
||||
|
||||
logger.debug(f"Sent chunk {chunk_index + 1}/{total_chunks} for session {session_id}")
|
||||
|
||||
@@ -249,7 +390,7 @@ class StreamingTTS:
|
||||
"""Handle incoming TTS request."""
|
||||
try:
|
||||
# Extract session_id from subject: ai.voice.tts.request.{session_id}
|
||||
subject_parts = msg.subject.split('.')
|
||||
subject_parts = msg.subject.split(".")
|
||||
if len(subject_parts) < 5:
|
||||
logger.warning(f"Invalid subject format: {msg.subject}")
|
||||
return
|
||||
@@ -276,7 +417,9 @@ class StreamingTTS:
|
||||
self.synthesis_counter.add(1, {"session_id": session_id})
|
||||
|
||||
# Publish status: processing
|
||||
await self.publish_status(session_id, "processing", f"Synthesizing {len(text)} characters")
|
||||
await self.publish_status(
|
||||
session_id, "processing", f"Synthesizing {len(text)} characters"
|
||||
)
|
||||
|
||||
# Synthesize audio
|
||||
audio_bytes = await self.synthesize(text, speaker, language, speaker_wav_b64)
|
||||
@@ -294,20 +437,19 @@ class StreamingTTS:
|
||||
"sample_rate": SAMPLE_RATE,
|
||||
}
|
||||
await self.nc.publish(
|
||||
f"{AUDIO_SUBJECT_PREFIX}.{session_id}",
|
||||
msgpack.packb(message)
|
||||
f"{AUDIO_SUBJECT_PREFIX}.{session_id}", msgpack.packb(message)
|
||||
)
|
||||
|
||||
await self.publish_status(session_id, "completed", f"Audio size: {len(audio_bytes)} bytes")
|
||||
await self.publish_status(
|
||||
session_id, "completed", f"Audio size: {len(audio_bytes)} bytes"
|
||||
)
|
||||
else:
|
||||
await self.publish_status(session_id, "error", "Synthesis failed")
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Error handling TTS request: {e}", exc_info=True)
|
||||
try:
|
||||
with contextlib.suppress(Exception):
|
||||
await self.publish_status(session_id, "error", str(e))
|
||||
except:
|
||||
pass
|
||||
|
||||
async def publish_status(self, session_id: str, status: str, message: str = ""):
|
||||
"""Publish TTS status update."""
|
||||
@@ -317,12 +459,45 @@ class StreamingTTS:
|
||||
"message": message,
|
||||
"timestamp": time.time(),
|
||||
}
|
||||
await self.nc.publish(
|
||||
f"{STATUS_SUBJECT_PREFIX}.{session_id}",
|
||||
msgpack.packb(status_msg)
|
||||
)
|
||||
await self.nc.publish(f"{STATUS_SUBJECT_PREFIX}.{session_id}", msgpack.packb(status_msg))
|
||||
logger.debug(f"Published status '{status}' for session {session_id}")
|
||||
|
||||
async def handle_list_voices(self, msg: Msg):
|
||||
"""Handle request to list available voices (built-in + custom)."""
|
||||
custom = self.voice_registry.list_voices()
|
||||
response = {
|
||||
"default_speaker": DEFAULT_SPEAKER,
|
||||
"custom_voices": custom,
|
||||
"last_refresh": self.voice_registry._last_refresh,
|
||||
"timestamp": time.time(),
|
||||
}
|
||||
if msg.reply:
|
||||
await msg.respond(msgpack.packb(response))
|
||||
logger.debug(f"Listed {len(custom)} custom voice(s)")
|
||||
|
||||
async def handle_refresh_voices(self, msg: Msg):
|
||||
"""Handle request to refresh the custom voice registry."""
|
||||
count = self.voice_registry.refresh()
|
||||
response = {
|
||||
"count": count,
|
||||
"custom_voices": self.voice_registry.list_voices(),
|
||||
"timestamp": time.time(),
|
||||
}
|
||||
if msg.reply:
|
||||
await msg.respond(msgpack.packb(response))
|
||||
logger.info(f"Voice registry refreshed on demand: {count} voice(s)")
|
||||
|
||||
async def _periodic_voice_refresh(self):
|
||||
"""Periodically refresh the voice registry to pick up newly trained voices."""
|
||||
while self.running:
|
||||
await asyncio.sleep(VOICE_REGISTRY_REFRESH_SECONDS)
|
||||
if not self.running:
|
||||
break
|
||||
try:
|
||||
self.voice_registry.refresh()
|
||||
except Exception as e:
|
||||
logger.error(f"Periodic voice registry refresh failed: {e}")
|
||||
|
||||
async def run(self):
|
||||
"""Main run loop."""
|
||||
await self.setup()
|
||||
@@ -331,6 +506,14 @@ class StreamingTTS:
|
||||
sub = await self.nc.subscribe(f"{REQUEST_SUBJECT_PREFIX}.>", cb=self.handle_request)
|
||||
logger.info(f"Subscribed to {REQUEST_SUBJECT_PREFIX}.>")
|
||||
|
||||
# Subscribe to voice management subjects
|
||||
voices_sub = await self.nc.subscribe(VOICES_LIST_SUBJECT, cb=self.handle_list_voices)
|
||||
refresh_sub = await self.nc.subscribe(VOICES_REFRESH_SUBJECT, cb=self.handle_refresh_voices)
|
||||
logger.info(f"Subscribed to {VOICES_LIST_SUBJECT} and {VOICES_REFRESH_SUBJECT}")
|
||||
|
||||
# Start periodic voice registry refresh
|
||||
refresh_task = asyncio.create_task(self._periodic_voice_refresh())
|
||||
|
||||
# Handle shutdown
|
||||
def signal_handler():
|
||||
self.running = False
|
||||
@@ -345,7 +528,10 @@ class StreamingTTS:
|
||||
|
||||
# Cleanup
|
||||
logger.info("Shutting down...")
|
||||
refresh_task.cancel()
|
||||
await sub.unsubscribe()
|
||||
await voices_sub.unsubscribe()
|
||||
await refresh_sub.unsubscribe()
|
||||
await self.nc.close()
|
||||
await self.http_client.aclose()
|
||||
logger.info("Shutdown complete")
|
||||
|
||||
693
uv.lock
generated
Normal file
693
uv.lock
generated
Normal file
@@ -0,0 +1,693 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.11"
|
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Reference in New Issue
Block a user