
# Unfamiliar Pipeline Test

**Timestamp:** 2026-03-14 11:42:39 UTC
**Target repo:** `/home/erinmeaker/Documents/source/lifeLevel`
**User's Note**:This is the first attempt of any GLM contact for 12 hours. The script ran through 4 retries and generated results on only the 5th try. The only category run through this script was 'testing'.

## Phase 3: Static Analysis

Files: 61
Modules: 31
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, 3: 2, 4: 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: 28,797 chars (~7,199 tokens)
Model class: ChatZhipuAI
Mission model class: ChatZhipuAI
Max output tokens: 4095

### Briefing Result

Context tokens: ~7,199
Summary length: 851 chars
Tech stack: ['Python 3.x', 'Flask', 'SQLite', 'TypeScript', 'React', 'Vite', 'pytest', 'Click', 'ESLint']
Modules described: 31
Security posture: The codebase demonstrates basic security practices with configuration externalized to environment variables and no hardcoded secrets. Database operations use transaction contexts with rollback on erro

**Full summary:**

```
lifeLevel is a web application for tracking skating skill progression through activities and experience points. The backend is a Flask REST API built with Python and SQLite, featuring routes for activities, logging, and progress tracking with level calculation logic. The frontend is a React application built with TypeScript and Vite that provides interfaces for viewing activities, logging completed exercises, and visualizing progress through XP graphs and branch breakdowns. The system uses environment-based configuration for database paths, CORS settings, and environment modes (production/testing). CLI commands are available for database initialization, seeding, backup, and testing database reset operations. Testing is implemented with pytest using in-memory SQLite databases and comprehensive test fixtures for activities and progress data.
```

  [0] Backend Application Core: Main Flask application factory, configuration management, database initializatio
  [1] Progress Visualization Components: React components for displaying progress data including branch breakdowns, XP gr
  [2] Activity Display Components: React components for rendering individual activity cards with exercise details, 
  [3] Activity Filtering Components: React components for filtering and listing activities by branch, exercise form, 
  [4] Activities API Layer: API client functions and TypeScript type definitions for fetching activities and
  [5] Progress API Layer: API client functions and TypeScript type definitions for fetching progress data 
  [6] Shared UI Components: Reusable React components including ErrorBoundary for error handling and Icon co
  [7] Activities Queries: Database query functions for retrieving activities, daily tasks, and filtering l
  [8] Activities Routes: Flask API endpoints for listing activities and daily tasks with filtering suppor
  [9] Logs Queries: Database query functions for creating log entries, calculating XP totals, and ma
  [10] Logs Routes: Flask API endpoint for logging completed activities and receiving XP rewards.
  [11] Progress Calculator: Business logic for calculating user levels based on XP thresholds and branch-spe
  [12] Progress Queries: Database query functions for fetching overall and branch-specific progress data.
  [13] Progress Routes: Flask API endpoints for retrieving progress data and XP history.
  [14] Shared Utilities: Utility functions for video URL construction, date formatting, progress calculat
  [15] backend/requirements-dev.txt: Description not provided by LLM.
  [16] backend/requirements.txt: Description not provided by LLM.
  [17] backend/tests/__init__.py: Description not provided by LLM.
  [18] frontend/.prettierrc: Description not provided by LLM.
  [19] frontend/eslint.config.js: Description not provided by LLM.
  [20] frontend/package-lock.json: Description not provided by LLM.
  [21] frontend/package.json: Description not provided by LLM.
  [22] frontend/src/App.tsx: Description not provided by LLM.
  [23] frontend/src/features/activities/components/LevelUpOverlay.tsx: Description not provided by LLM.
  [24] frontend/src/features/progress/components/CompactProgressBar.tsx: Description not provided by LLM.
  [25] frontend/src/main.tsx: Description not provided by LLM.
  [26] frontend/src/shared/branchColors.ts: Description not provided by LLM.
  [27] frontend/src/shared/components/ErrorState.tsx: Description not provided by LLM.
  [28] frontend/src/shared/constants.ts: Description not provided by LLM.
  [29] frontend/src/shared/utils.ts: Description not provided by LLM.
  [30] 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: ['testing']
Token budget per category: ~1,142

### Category: testing

8 missions, 2 chains

### The Test Setup
**Difficulty:** quick

*The investigation begins in the shadows of the test suite. Before you can understand what's being tested, you need to know how the stage is set. The configuration files hold the secrets of the testing environment.*

Investigate the test configuration file and fixtures to understand how the testing environment is set up with in-memory SQLite databases.

**Files to investigate:**
- `backend/tests/conftest.py` — Contains test fixtures including the database fixture that creates in-memory SQLite databases for testing.

**Completion:** Identify the test database fixture and explain how it creates an in-memory SQLite database for testing.

*You've mapped out the test setup. The fixtures are in place, the database is ready, and you understand how the testing environment isolates itself from the real data. The stage is set for the real investigation.*

### Tracing the Activities
**Difficulty:** quick
**Prerequisites:** The Test Setup

*The activities are the heart of this operation. But how do we know the database is returning the right data? The test suite holds the answers, buried in the queries that fetch skating activities.*

Examine the test suite for activity database queries to understand how activities are retrieved and filtered.

**Files to investigate:**
- `backend/tests/test_activities_queries.py` — Contains comprehensive tests for activity database queries including retrieval and filtering logic.

**Completion:** Identify at least two test cases that verify activity retrieval and explain what data they test.

*You've traced the activity queries through their tests. The data retrieval is sound, the filtering works as expected, and you understand how the system verifies that activities are fetched correctly.*

### Following the Routes
**Difficulty:** medium
**Prerequisites:** The Test Setup

*The routes are the arteries of the application, carrying requests from the streets to the database. But are they delivering the right data? The test suite is watching every request, every response.*

Examine the test suite for Flask API routes that handle activity requests to understand endpoint behavior.

**Files to investigate:**
- `backend/tests/test_activities_routes.py` — Contains tests for Flask API endpoints that handle activity requests including listing and filtering activities.

**Completion:** Identify at least one test case that verifies an API endpoint and explain what HTTP method and status code it tests.

*You've followed the routes through their tests. The endpoints respond correctly, the data flows as expected, and you understand how the system validates that API requests are handled properly.*

### The Logbook Files
**Difficulty:** medium
**Prerequisites:** The Test Setup

*Every action leaves a trace. The logbook files track what users do, when they do it, and how much XP they earn. But are these records accurate? The test suite is the only way to know for sure.*

Examine the test suite for log database queries to understand how user activity logs are created and retrieved.

**Files to investigate:**
- `backend/tests/test_log_queries.py` — Contains tests for log database queries including creating log entries and calculating XP totals.

**Completion:** Identify at least two test cases that verify log creation and retrieval, explaining what they test.

*You've examined the logbook files through their tests. The records are accurate, the XP calculations are correct, and you understand how the system ensures that user activity is logged properly.*

### Logging the Evidence
**Difficulty:** medium
**Prerequisites:** The Test Setup

*The evidence is in, but can it stand up in court? The log routes are where users submit their activity, and the test suite is the prosecutor's witness. Every request is scrutinized, every response verified.*

Examine the test suite for Flask API routes that handle log creation to understand how user activity is submitted.

**Files to investigate:**
- `backend/tests/test_log_routes.py` — Contains tests for Flask API endpoints that handle log creation and XP reward distribution.

**Completion:** Identify at least one test case that verifies a log creation endpoint and explain what it tests.

*You've logged the evidence through the test suite. The routes accept activity submissions correctly, the responses are accurate, and you understand how the system validates that user activity is logged properly.*

### Tracking the Progress
**Difficulty:** medium
**Prerequisites:** The Test Setup

*Progress is what we're all chasing. But how do we measure it? The progress queries crunch the numbers, and the test suite ensures the calculations are correct. Every percentage point matters.*

Examine the test suite for progress database queries to understand how user progress is calculated and retrieved.

**Files to investigate:**
- `backend/tests/test_progress_queries.py` — Contains tests for progress database queries including overall progress and branch-specific progress.

**Completion:** Identify at least two test cases that verify progress retrieval and explain what they test.

*You've tracked the progress through the test suite. The calculations are accurate, the data retrieval is sound, and you understand how the system verifies that user progress is calculated correctly.*

### The Progress Report
**Difficulty:** medium
**Prerequisites:** The Test Setup

*The progress report is the final verdict. It tells users how far they've come and what's next. But is the report accurate? The test suite is the auditor, checking every number, every percentage.*

Examine the test suite for Flask API routes that handle progress requests to understand how progress data is served.

**Files to investigate:**
- `backend/tests/test_progress_routes.py` — Contains tests for Flask API endpoints that serve progress data including XP history and branch breakdowns.

**Completion:** Identify at least one test case that verifies a progress endpoint and explain what it tests.

*You've reviewed the progress report through the test suite. The endpoints serve the right data, the calculations are correct, and you understand how the system ensures that progress reports are accurate.*

### Leveling Up
**Difficulty:** deep_dive
**Prerequisites:** The Test Setup, Tracking the Progress

*The ultimate goal is to level up. But the path isn't clear. The level calculator determines when a user advances, and the test suite is the only way to understand the rules of the game.*

Examine the test suite for the level calculation logic to understand how user levels are determined based on XP.

**Files to investigate:**
- `backend/tests/test_level_calculator.py` — Contains comprehensive tests for the level calculation business logic including XP thresholds and level advancement.

**Completion:** Identify at least three test cases that verify level calculation logic and explain the XP thresholds they test.

*You've cracked the level calculation code. The thresholds are clear, the logic is sound, and you understand how the system determines when users level up. The game is rigged, but the rules are fair.*

## Summary

Total missions generated: 8
Categories tested: 1
Difficulty breakdown: {'quick': 2, 'medium': 5, 'deep_dive': 1}
Root missions (no prereqs): 1