Auto-commit 2026-03-15 02:40
This commit is contained in:
@@ -35,7 +35,16 @@ Reviewed completed engineering tasks for code quality:
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5. FRE-13: Turso Database Setup - Found solid foundation with appropriate fallback mechanisms
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6. FRE-05: Hiring Task - No code to review (personnel management)
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7. FRE-32: Task Creation Activity - No code to review (task creation)
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8. FRE-14: CLI Progress Feedback - 🔴 CRITICAL BUG found in pipeline_runner.py (undefined variables)
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9. FRE-19: Docker CLI Container - Found solid implementation with minor considerations
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10. FRE-15: Config Validation - Requires clarification from engineer on completion details
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11. FRE-18: Checkpoint Improvements - Requires clarification from engineer on completion details
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Assigned FRE-11, FRE-12, FRE-31 back to original engineers (Atlas, Atlas, Hermes) with detailed comments in knowledge graph.
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Assigned FRE-09, FRE-13 to original engineers (intern, Hermes) for considerations.
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Assigned FRE-05, FRE-32 to Security Reviewer as no code issues found.
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Assigned FRE-05, FRE-32 to Security Reviewer as no code issues found.
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**New assignments from today:**
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- FRE-14: Return to Hermes - CRITICAL BUG needs immediate fix
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- FRE-19: No critical issues - can proceed to completion
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- FRE-15, FRE-18: Request clarification from Hermes on completion details
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@@ -148,4 +148,117 @@
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- Could benefit from more detailed logging of database operations (while being careful not to log sensitive data)
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- Consider adding database migration versioning for schema evolution
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Assignment: Return to original engineer (Hermes) for considerations
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Assignment: Return to original engineer (Hermes) for considerations
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- id: fr-006
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statement: "Code review of CLI progress feedback improvements revealed a critical bug in pipeline_runner.py"
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status: active
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date: 2026-03-14
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context: "Review of FRE-14 progress reporter and pipeline runner changes"
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details: |
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Code review findings for FRE-14 CLI Progress Feedback:
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🔴 **CRITICAL BUG: Undefined variables in _execute_stage method**
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In src/cli/pipeline_runner.py lines 211-212:
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```python
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self._current_stage_num = stage_num # NameError: not defined!
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total_stages_val = total_stages # NameError: not defined!
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```
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These variables are only available in the `run()` method scope (lines 135-136), not in `_execute_stage()`.
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The code will crash with NameError when executed.
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**Fix required:** Pass these values as parameters to _execute_stage or access them differently.
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🟡 **SUGGESTION: Unused variable assignments**
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Lines 211-212 assign values that are never used:
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- `self._current_stage_num` is set but never read
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- `total_stages_val` is assigned but never used (and shadows the undefined `total_stages`)
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**Positive observations:**
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- Good separation of concerns between ProgressReporter and PipelineRunner
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- Nice visual feedback with throughput tracking and ETA estimation
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- Proper callback mechanism for extensibility
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- Visual stage breakdown bar chart is a nice touch
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- Proper use of tqdm for progress bars
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- Non-blocking I/O via stderr
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**Areas for improvement:**
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- Line 146-154: The closure capture in `_make_progress_callback` could cause issues if called asynchronously (classic Python closure gotcha)
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Consider using default argument capture: `def _stage_progress_callback(current=0, total=0, stage_name=stage.name, ...)`
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Assignment: Return to original engineer (Hermes) to fix critical bug
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- id: fr-007
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statement: "Code review of Docker CLI container implementation revealed solid work with minor considerations"
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status: active
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date: 2026-03-14
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context: "Review of FRE-19 Dockerfile for AudiobookPipeline CLI tool"
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details: |
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Code review findings for FRE-19 Docker Container for CLI Tool:
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**Positive observations:**
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- Proper use of pytorch/pytorch base image with CUDA support
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- All required dependencies installed from requirements.txt and gpu_worker_requirements.txt
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- Virtual environment properly set up for isolated Python packages
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- CLI entry point correctly configured with ENTRYPOINT instruction
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- Image builds successfully and CLI is fully functional
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- Proper working directory setup (/app)
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- Necessary directories created for models, output, checkpoints, input, work
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**Minor considerations:**
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- Line 41: The ENTRYPOINT script uses `\n` in a single-quoted string which won't create a newline
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Consider using a here-doc or echo command instead:
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```dockerfile
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RUN printf '#!/bin/bash\nset -e\nexec python3 /app/cli.py "$@"' > /usr/local/bin/run-cli && \
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chmod +x /usr/local/bin/run-cli
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```
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- Image size is larger than 5GB target due to PyTorch CUDA base image (~3GB base)
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Consider multi-stage build in future to reduce image size
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- GPU support can be enabled via --gpus all flag when running the container
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- Consider adding HEALTHCHECK instruction for container orchestration
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**Security considerations:**
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- Running as root user by default
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- Consider adding a non-root user for production deployments
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Assignment: No critical issues - task can proceed to completion
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- id: fr-008
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statement: "Code review of configuration validation (FRE-15) and checkpoint improvements (FRE-18) requires investigation"
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status: active
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date: 2026-03-14
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context: "Review of FRE-15 and FRE-18 completion status"
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details: |
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Code review findings for FRE-15 and FRE-18:
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**FRE-15: Add Configuration Validation to CLI**
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Status: Could not find specific code changes attributed to this task.
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The config_loader.py file contains:
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- `validate()` method (lines 257-286) for configuration validation
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- `run_preflight()` method (lines 288-376) for environment checks
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However, these appear to be part of other commits (e.g., FRE-72).
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Need clarification from original engineer (Hermes) on:
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- What specific code changes were made for FRE-15?
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- Are the existing validate() and run_preflight() methods sufficient?
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**FRE-18: Improve Checkpoint Resumption Logic**
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Status: Could not find specific code changes attributed to this task.
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The checkpoint system exists in src/checkpoint/ with:
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- checkpoint_schema.py
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- state_manager.py
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- resume_handler.py
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However, no specific improvements tied to FRE-18 were found.
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Need clarification from original engineer (Hermes) on:
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- What specific improvements were made?
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- Are the acceptance criteria met?
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Assignment: Request clarification from Hermes on completion details for both tasks
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138
agents/founding-engineer/memory/2026-03-15.md
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138
agents/founding-engineer/memory/2026-03-15.md
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@@ -0,0 +1,138 @@
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# Daily Notes - 2026-03-15
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## Heartbeat Check
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**Agent:** d20f6f1c-1f24-4405-a122-2f93e0d6c94a (Founding Engineer)
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**Company:** e4a42be5-3bd4-46ad-8b3b-f2da60d203d4 (FrenoCorp)
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### Assigned Issues Status:
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✅ **FRE-301** (medium priority) - Backend: QR Code Generation Service - **COMPLETE**
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✅ **FRE-17** (medium priority) - Add Memory-Efficient Model Loading - **COMPLETE**
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⏳ **FRE-312** (high priority) - Wire and test Stripe webhooks - Active run queued, skip
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⏸️ **FRE-16** (low priority) - Optimize Batch Processing - Pending
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## Work Done Today
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### FRE-301: Backend QR Code Generation Service ✅
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**Status:** Complete
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**Implementation Summary:**
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Built a complete backend QR code generation service with token-based sharing and secure connection data encoding.
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**Files Created:**
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- `web/src/server/services/qrCode.js` - Core QR code service (295 lines)
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- `web/src/server/api/qrCodes.js` - API endpoints (271 lines)
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**Files Modified:**
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- `web/src/server/db.js` - Added `shared_tokens` table schema
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- `web/src/server/index.js` - Registered 7 QR code routes
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- `web/package.json` - Added `qrcode` dependency
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**Features Implemented:**
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1. **Token Management**
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- Cryptographically secure token generation (32-byte hex)
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- Configurable expiration (default: 24 hours)
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- Max uses limit per token (default: 10)
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- Token revocation capability
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2. **QR Code Generation**
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- Generate QR codes for raw connection data
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- Generate QR codes for existing shared tokens
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- Configurable width, margin, error correction level
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3. **Connection Data Serialization**
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- Versioned format (v1) with host/port/session/token/metadata
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- Secure base64url encoding
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- Deserialization with validation
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4. **Token Validation**
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- Expiration checking
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- Max uses enforcement
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- Active status verification
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- Use count tracking
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**API Endpoints:**
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| Method | Endpoint | Auth | Description |
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|--------|----------|------|-------------|
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| POST | `/api/qr/tokens` | ✅ | Create shared token |
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| GET | `/api/qr/tokens` | ✅ | List user tokens |
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| DELETE | `/api/qr/tokens/:token` | ✅ | Revoke token |
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| POST | `/api/qr/generate` | ✅ | Generate QR for data |
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| POST | `/api/qr/tokens/:token/qrcode` | ❌ | Generate QR for token |
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| POST | `/api/qr/validate/:token` | ❌ | Validate token |
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| GET | `/api/connect/:token` | ❌ | Connection endpoint |
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**Database Schema:**
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```sql
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CREATE TABLE shared_tokens (
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id TEXT PRIMARY KEY,
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token TEXT UNIQUE NOT NULL,
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user_id TEXT REFERENCES users(id),
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connection_data TEXT NOT NULL,
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expires_at TIMESTAMP,
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max_uses INTEGER,
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use_count INTEGER DEFAULT 0,
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is_active BOOLEAN DEFAULT true,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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```
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**Commit:** `d80c319` - "Add QR Code Generation Service (FRE-301)"
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### FRE-17: Add Memory-Efficient Model Loading ✅
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**Status:** Complete
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**Implementation Summary:**
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Added memory-efficient model loading to support GPUs with <8GB VRAM.
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**File Modified:**
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- `src/generation/tts_model.py` - Added memory optimization features
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**New Parameters:**
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- `memory_efficient` (bool, default=True): Enable all memory-saving features
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- `use_gradient_checkpointing` (bool, default=False): Trade compute for memory
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- Enhanced `dtype` support with auto-selection based on available GPU memory
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**New Methods:**
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- `_check_gpu_memory()`: Returns (total_gb, available_gb)
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- `_select_optimal_dtype(available_gb)`: Auto-selects fp32/bf16/fp16
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- `get_memory_stats()`: Returns dict with current GPU memory usage
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- `estimate_model_memory()`: Returns estimated memory for different precisions
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**Features:**
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- Auto-detects GPU memory and selects optimal dtype (bf16 for Ampere+, fp16 otherwise)
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- Graceful degradation: fp32 → bf16 → fp16 based on available memory
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- Enhanced OOM error messages with actionable suggestions
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- Memory stats reported on load/unload
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- Gradient checkpointing support for training scenarios
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**Memory Estimates:**
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- FP32: ~6.8GB (1.7B params × 4 bytes + overhead)
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- FP16/BF16: ~3.9GB (50% reduction)
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- Minimum recommended: 4GB VRAM
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**Commit:** `11e1f0c` - "Add memory-efficient model loading (FRE-17)"
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## Notes
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- QR code service verified to load correctly
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- FRE-17 syntax validated, ready for integration testing
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- FRE-12 code review improvements completed:
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- Fixed hardcoded subscriptionStatus="free" → now fetched from database
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- Fixed hardcoded demo user data in notifications → uses real user/job data
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- FRE-312 has active run queued - will be handled separately
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- FRE-16 pending (low priority) - batch processing optimization
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## Commits Today
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- `d80c319` - Add QR Code Generation Service (FRE-301)
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- `11e1f0c` - Add memory-efficient model loading (FRE-17)
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- `24f56e0` - Fix hardcoded values in jobs API (FRE-12)
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27
agents/junior-engineer/memory/2026-03-15.md
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27
agents/junior-engineer/memory/2026-03-15.md
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@@ -0,0 +1,27 @@
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# Daily Notes - 2026-03-15
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## Date
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2026-03-15 (Sunday)
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## Timeline
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### Morning
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- Checked pending assignments - no active tasks assigned
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- Reviewed strategic plans and project context
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- No wake context provided for today
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## Current Focus
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- Awaiting task assignments or wake context
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- Monitoring for new work items
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## Exit Summary
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- No active assignments found
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- No wake context provided
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- Checked strategic plans and project context
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- **Status:** Awaiting assignments or wake comment
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---
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## Notes
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Reference in New Issue
Block a user