
# Unfamiliar Pipeline Test

**Timestamp:** 2026-03-14 00:44:53 UTC
**Target repo:** `/home/erinmeaker/Documents/source/lifeLevel`

## Phase 3: Static Analysis

Files: 61
Modules: 30
Entry points: 2

Top scored files:
  backend/tests/conftest.py: 150 (entry point, hub (imported by 6 files))
  backend/app.py: 100 (entry point)
  backend/config.py: 50 (hub (imported by 3 files))
  backend/database.py: 50 (hub (imported by 15 files))
  backend/tests/test_activities_queries.py: 50 (complex (score: 73), test file)
Module size distribution: {1: 24, 2: 3, 4: 1, 6: 1, 21: 1}
Singleton modules: 24
Total import edges: 54
Edges per file: 0.89
Provider: glm
Model override: glm-4.7-Flash

## Phase 6: Briefing Generation

Token budget: 8,000
Context size: 28,767 chars (~7,191 tokens)
Model class: ChatZhipuAI
Mission model class: ChatZhipuAI
Max output tokens: 4095

### Briefing Result

Context tokens: ~7,191
Summary length: 488 chars
Tech stack: ['Flask (Python)', 'SQLite', 'React', 'TypeScript', 'Vite', 'Pytest', 'Flask-CORS', 'Click']
Modules described: 30
Security posture: The codebase demonstrates good security practices with configuration loaded from environment variables and no hardcoded secrets. CLI commands include safety checks to prevent accidental operations in 

**Full summary:**

```
LifeLevel is a fitness progress tracking application focused on skating skills. The backend is a Flask API with SQLite database that manages skills, branches, levels, activities, and user progress. The frontend is a React application that displays activities, tracks user logs, and visualizes progress through XP graphs and branch breakdowns. The system uses environment-based configuration, CLI commands for database management, and comprehensive test coverage for backend functionality.
```

  [0] Backend Application: Main Flask application with configuration, database management, and CLI commands
  [1] Activities Feature: Backend module handling activity queries, routes, and business logic for retriev
  [2] Logs Feature: Backend module managing user log entries, XP calculations, and tracking of activ
  [3] Progress Feature: Backend module calculating level progression, branch-specific progress, and XP t
  [4] Database Layer: Database connection management with context managers, transaction handling, and 
  [5] Configuration Management (security): Environment-based configuration loading with database paths, CORS origins, debug
  [6] Schema and Migrations: Database schema definitions and migration system for managing schema changes ove
  [7] Data Seeding: Module for populating database with initial reference data including skills, bra
  [8] Activities Frontend: Frontend module for activity data types, API integration, and component organiza
  [9] Progress Frontend: Frontend module for progress data types, API integration, and component organiza
  [10] Activities Components: React components for displaying activities, daily tasks, filters, and logging fu
  [11] Progress Components: React components for visualizing progress including branch breakdowns, XP graphs
  [12] Shared Components: Reusable UI components including error boundaries, icons, and shared utilities.
  [13] Shared Utilities: Common functions for video URL building, date formatting, progress calculations,
  [14] Testing Infrastructure: Test fixtures, utilities, and test suites covering activities, logs, progress, a
  [15] backend/requirements.txt: Description not provided by LLM.
  [16] backend/tests/__init__.py: Description not provided by LLM.
  [17] frontend/.prettierrc: Description not provided by LLM.
  [18] frontend/eslint.config.js: Description not provided by LLM.
  [19] frontend/package-lock.json: Description not provided by LLM.
  [20] frontend/package.json: Description not provided by LLM.
  [21] frontend/src/App.tsx: Description not provided by LLM.
  [22] frontend/src/features/activities/components/LevelUpOverlay.tsx: Description not provided by LLM.
  [23] frontend/src/features/progress/components/CompactProgressBar.tsx: Description not provided by LLM.
  [24] frontend/src/main.tsx: Description not provided by LLM.
  [25] frontend/src/shared/branchColors.ts: Description not provided by LLM.
  [26] frontend/src/shared/components/ErrorState.tsx: Description not provided by LLM.
  [27] frontend/src/shared/constants.ts: Description not provided by LLM.
  [28] frontend/src/shared/utils.ts: Description not provided by LLM.
  [29] frontend/vite.config.ts: Description not provided by LLM.
Cooldown 60s before mission generation...

## Phase 7: Mission Generation

Created fresh model for missions: ChatZhipuAI
Categories: ['architecture']
Token budget per category: ~1,142

### Category: architecture

7 missions, 2 chains

### The Flask Application Entry Point
**Difficulty:** quick

*The city lights flickered as I traced the entry point of this Flask application. Every great detective needs to know where the action starts, and in this codebase, it all begins with a single file.*

Investigate the main Flask application file to understand the app structure, routes, and initialization process.

**Files to investigate:**
- `backend/app.py:35-35` — The api_route function that serves as the main entry point for API requests.

**Completion:** Identify the app instance creation, registered routes, and the main entry point for API requests.

*The pieces fell into place. I'd found the entry point, the gateway to the entire application. With the app instance mapped out, I was ready to dig deeper into the city's secrets.*

### The Configuration Files
**Difficulty:** quick
**Security relevant:** Yes

*Every city has its secrets, and this application hides them in plain sight—environment variables that control everything from database connections to CORS policies. Time to crack the safe.*

Examine environment-based configuration to understand how settings are loaded and managed across different environments.

**Files to investigate:**
- `backend/config.py` — Contains all environment-based configuration including database paths, CORS origins, and debug mode.

**Completion:** Identify all configuration variables including database paths, CORS origins, and debug mode settings.

*The configuration was laid bare. I knew exactly what settings controlled this application and how they were loaded. The pieces were falling into place, one configuration variable at a time.*

### The Database Connection Manager
**Difficulty:** medium
**Prerequisites:** The Flask Application Entry Point

*The database was the heart of this operation, pumping data through the veins of the application. But connections can be leaky, and transactions can go wrong. I needed to understand the connection manager.*

Investigate the database layer to understand connection management, context managers, and transaction handling.

**Files to investigate:**
- `backend/database.py` — Central database connection management with context managers and transaction handling.

**Completion:** Explain how database connections are managed, including context managers and transaction handling patterns.

*The connection manager was a well-oiled machine. I understood how connections were established, managed, and released. The database layer was no longer a mystery—it was a controlled system.*

### The Feature Modules
**Difficulty:** medium
**Prerequisites:** The Flask Application Entry Point

*This city was divided into districts, and in this codebase, those districts were the feature modules. Each had its own rules, its own routes, its own way of doing things. I needed to understand the layout.*

Explore how the application is organized into features (Activities, Logs, Progress) and understand their separation of concerns.

**Files to investigate:**
- `backend/features/activities/` — Activities feature module with queries and routes.
- `backend/features/logs/` — Logs feature module managing user log entries and XP calculations.
- `backend/features/progress/` — Progress feature module calculating level progression and branch-specific progress.

**Completion:** Map out the structure of at least two feature modules and explain how they interact with the core application.

*The districts were mapped out. I knew where the Activities district was, where the Logs district operated, and where the Progress district made its moves. The city's organization was clear.*

### The CLI Commands
**Difficulty:** deep_dive
**Prerequisites:** The Flask Application Entry Point, The Database Connection Manager

*The city had its own police force, and this application had its own CLI commands. Database initialization, seeding, backup—these were the tools of the trade. I needed to know how they worked.*

Investigate the command-line interface for database management including initialization, seeding, and backup operations.

**Files to investigate:**
- `backend/database.py` — Contains CLI commands for database initialization, seeding, and backup operations.

**Completion:** Identify all CLI commands and explain their purpose, including database initialization, seeding, and backup functionality.

*The CLI commands were laid bare. I knew how to initialize the database, how to seed it with data, and how to back it up. The command line was no longer a mystery—it was a tool in my arsenal.*

### The Testing Infrastructure
**Difficulty:** deep_dive
**Prerequisites:** The Flask Application Entry Point

*Every detective needs to verify their findings, and this application had a comprehensive testing infrastructure. Fixtures, utilities, test suites—I needed to understand how the city was being tested.*

Examine the test setup and fixtures to understand how the application is tested and validated.

**Files to investigate:**
- `backend/tests/conftest.py:354-354` — Contains test fixtures including the app instance and database setup.
- `backend/tests/__init__.py` — Test utilities and shared test components.

**Completion:** Identify key test fixtures and explain how they support testing of different application components.

*The testing infrastructure was a well-oiled machine. I knew how the city was tested, what fixtures were used, and how the test suites covered the application. The codebase was solid, and I had the evidence to prove it.*

### The Frontend Architecture
**Difficulty:** deep_dive
**Prerequisites:** The Flask Application Entry Point

*The city wasn't just backend—it had a face, too. A React application that displayed activities, tracked progress, and visualized data. I needed to understand how this frontend was built and organized.*

Explore the React application structure to understand component organization, routing, and main entry points.

**Files to investigate:**
- `frontend/src/main.tsx` — Main entry point for the React application.
- `frontend/src/App.tsx` — Main application component that orchestrates the frontend features.

**Completion:** Map out the frontend component hierarchy and identify the main entry points for the React application.

*The frontend architecture was clear. I knew the main entry points, the component hierarchy, and how the application was structured. The city's face was no longer a mystery—it was a well-designed system.*

## Summary

Total missions generated: 7
Categories tested: 1
Difficulty breakdown: {'quick': 2, 'medium': 2, 'deep_dive': 3}
Root missions (no prereqs): 2