FitTrack_ReportGenerator/specs/001-create-a-new/tasks.md

# Tasks: Initial Spec

**Feature Branch**: `001-create-a-new`
**Date**: 2025-10-09
**Spec**: /home/sstent/Projects/FitTrack_ReportGenerator/specs/001-create-a-new/spec.md

## Summary

This document outlines the tasks required to implement the "Initial Spec" feature, which involves analyzing workout files, generating reports and charts, and exposing this functionality via a REST API.

## Phase 1: Setup and Project Initialization

**Goal**: Establish the basic project structure, environment, and initial configurations.

- [X] T001: Initialize Python project with `pyproject.toml` and create a virtual environment. (src/)
- [X] T002: Create `src/core`, `src/db`, `src/utils`, `api/`, `api/routers`, `tests/unit`, `tests/integration`, `tests/contract` directories. (src/, api/, tests/)
- [X] T003: Configure `pytest` for testing. (pyproject.toml)
- [X] T004: Add initial `requirements.txt` with `FastAPI`, `pandas`, `numpy`, `scipy`, `matplotlib`, `fitparse`, `tcxparser`, `gpxpy`, `psycopg2-binary` (for PostgreSQL). (requirements.txt)
- [X] T005: Implement basic FastAPI application in `api/main.py` with a root endpoint. (api/main.py)
- [X] T006: Set up Dockerfile for the application. (Dockerfile)

## Phase 2: Foundational Components

**Goal**: Implement core, reusable components that are prerequisites for all user stories.

- [X] T007: Implement `src/db/models.py` for `User` and `WorkoutAnalysis` entities based on `data-model.md`. (src/db/models.py)
- [X] T008: Implement database connection and session management in `src/db/session.py`. (src/db/session.py)
- [X] T009: Implement `src/utils/zone_calculator.py` for calculating power and heart rate zones. (src/utils/zone_calculator.py)
- [X] T010: Implement base classes/interfaces for file parsing in `src/core/file_parser.py` (e.g., `FitParser`, `TcxParser`, `GpxParser`). (src/core/file_parser.py)
- [X] T011: Implement `src/core/workout_data.py` for `WorkoutData`, `WorkoutMetadata`, `PowerData`, `HeartRateData` objects. (src/core/workout_data.py)

## Phase 3: User Story 1 - Analyze a single workout file (P1)

**Goal**: Enable users to upload a single workout file and receive a comprehensive analysis report.

**Independent Test Criteria**: Provide a single workout file and verify that a complete report is generated with all expected metrics and charts.

- [X] T012 [US1]: Write unit tests for `FitParser` to ensure correct parsing of FIT files. (tests/unit/test_fit_parser.py)
- [X] T013 [US1]: Implement `FitParser` in `src/core/file_parser.py` to parse FIT files (FR-001). (src/core/file_parser.py)
- [X] T014 [US1]: Write unit tests for `TcxParser` to ensure correct parsing of TCX files. (tests/unit/test_tcx_parser.py)
- [X] T015 [US1]: Implement `TcxParser` in `src/core/file_parser.py` to parse TCX files (FR-001). (src/core/file_parser.py)
- [X] T016 [US1]: Write unit tests for `GpxParser` to ensure correct parsing of GPX files. (tests/unit/test_gpx_parser.py)
- [X] T017 [US1]: Implement `GpxParser` in `src/core/file_parser.py` to parse GPX files (FR-001). (src/core/file_parser.py)
- [X] T018 [US1]: Write unit tests for `WorkoutData` and related data objects (`PowerData`, `HeartRateData`). (tests/unit/test_workout_data.py)
- [X] T019 [US1]: Implement `src/core/workout_analyzer.py` to calculate summary metrics (FR-002). (src/core/workout_analyzer.py)
- [X] T020 [US1]: Implement detailed power analysis (NP, IF, TSS, zones) in `src/core/workout_analyzer.py` (FR-003). (src/core/workout_analyzer.py)
- [X] T021 [US1]: Implement detailed heart rate analysis (zones) in `src/core/workout_analyzer.py` (FR-004). (src/core/workout_analyzer.py)
- [X] T022 [US1]: Implement detailed speed analysis (zones) in `src/core/workout_analyzer.py` (FR-005). (src/core/workout_analyzer.py)
- [X] T023 [US1]: Implement elevation analysis in `src/core/workout_analyzer.py` (FR-006). (src/core/workout_analyzer.py)
- [X] T024 [US1]: Implement high-intensity interval detection in `src/core/workout_analyzer.py` (FR-007). (src/core/workout_analyzer.py)
- [X] T025 [US1]: Implement efficiency metrics calculation in `src/core/workout_analyzer.py` (FR-008). (src/core/workout_analyzer.py)
- [X] T026 [US1]: Implement power estimation when not present in source file in `src/core/workout_analyzer.py` (FR-009). (src/core/workout_analyzer.py)
- [X] T027 [US1]: Implement gear usage analysis for single-speed bicycles in `src/core/workout_analyzer.py` (FR-010). (src/core/workout_analyzer.py)
- [X] T028 [US1]: Implement report generation (HTML, PDF, Markdown) in `src/core/report_generator.py` (FR-011). (src/core/report_generator.py)
- [X] T029 [US1]: Write contract tests for `POST /api/analyze/workout` endpoint. (tests/contract/test_analyze_workout_api.py)
- [X] T030 [US1]: Implement `POST /api/analyze/workout` endpoint in `api/routers/analysis.py` (FR-013). (api/routers/analysis.py)
- [X] T031 [US1]: Implement error handling for corrupted/malformed files (Edge Case). (api/routers/analysis.py, src/core/file_parser.py)
- [X] T032 [US1]: Implement handling for missing data streams (Edge Case). (src/core/workout_analyzer.py)
- [X] T033 [US1]: Implement detection and flagging of data spikes (Edge Case). (src/core/workout_analyzer.py)
- [X] T034 [US1]: Implement `GET /api/analysis/{id}/summary` endpoint in `api/routers/analysis.py` (FR-016). (api/routers/analysis.py)
- [X] T035 [US1]: Ensure FTP configuration is used for calculations (FR-018, FR-019). (src/core/workout_analyzer.py, api/routers/analysis.py)

**Checkpoint**: Single workout analysis and summary retrieval are functional and tested.

## Phase 4: User Story 2 - Generate specific charts for a workout (P2)

**Goal**: Allow developers to request specific visualizations for an analyzed workout via an API.

**Independent Test Criteria**: Call an API endpoint with a workout ID and chart type, and verify that the correct chart image is returned.

- [X] T036 [US2]: Write unit tests for chart generation logic. (tests/unit/test_chart_generator.py)
- [X] T037 [US2]: Implement chart generation (power curves, elevation profiles, zone distribution) in `src/core/chart_generator.py` (FR-012). (src/core/chart_generator.py)
- [X] T038 [US2]: Write contract tests for `GET /api/analysis/{id}/charts` endpoint. (tests/contract/test_charts_api.py)
- [X] T039 [US2]: Implement `GET /api/analysis/{id}/charts` endpoint in `api/routers/analysis.py` (FR-015). (api/routers/analysis.py)

**Checkpoint**: Chart generation and retrieval are functional and tested.

## Phase 5: User Story 3 - Batch analyze multiple workout files (P3)

**Goal**: Enable coaches to upload a directory of workout files for batch analysis and receive a summary report.

**Independent Test Criteria**: Provide a directory of workout files and verify that a batch analysis is performed and a summary CSV file is generated.

- [X] T040 [US3]: Write unit tests for batch processing logic. (tests/unit/test_batch_processor.py)
- [X] T041 [US3]: Implement batch processing logic in `src/core/batch_processor.py` to handle zip files and process multiple workouts. (src/core/batch_processor.py)
- [X] T042 [US3]: Implement summary report generation for batch analysis (e.g., CSV) in `src/core/report_generator.py`. (src/core/report_generator.py)
- [X] T043 [US3]: Write contract tests for `POST /api/analyze/batch` endpoint. (tests/contract/test_batch_analysis_api.py)
- [X] T044 [US3]: Implement `POST /api/analyze/batch` endpoint in `api/routers/analysis.py` (FR-014). (api/routers/analysis.py)

**Checkpoint**: Batch analysis is functional and tested.

## Phase 6: Polish & Cross-Cutting Concerns

**Goal**: Address remaining cross-cutting concerns and ensure overall quality.

- [X] T045: Implement structured logging across the application. (src/, api/)
- [X] T046: Review and refine error handling mechanisms for all API endpoints. (api/routers/analysis.py)
- [X] T047: Ensure all API endpoints are publicly accessible (FR-017). (api/main.py, deployment config)
- [X] T048: Conduct performance testing to meet SC-002 and SC-004. (tests/performance/)
- [X] T049: Review and optimize database interactions. (src/db/)
- [X] T050: Update `plan.md` with the final project structure. (specs/001-create-a-new/plan.md)

## Dependencies

- Phase 1 must be completed before Phase 2.
- Phase 2 must be completed before Phase 3, Phase 4, and Phase 5.
- Phase 3, Phase 4, and Phase 5 can be developed in parallel after Phase 2, but are ordered by priority.
- Phase 6 can begin once all other phases are functionally complete.

## Parallel Execution Examples

### User Story 1 (P1)
- T012 [P]: Write unit tests for FitParser
- T014 [P]: Write unit tests for TcxParser
- T016 [P]: Write unit tests for GpxParser
- T018 [P]: Write unit tests for WorkoutData
- T029 [P]: Write contract tests for POST /api/analyze/workout

### User Story 2 (P2)
- T036 [P]: Write unit tests for chart generation logic
- T038 [P]: Write contract tests for GET /api/analysis/{id}/charts

### User Story 3 (P3)
- T040 [P]: Write unit tests for batch processing logic
- T043 [P]: Write contract tests for POST /api/analyze/batch

## Implementation Strategy

We will adopt an incremental delivery approach, prioritizing User Story 1 (single workout analysis) as the Minimum Viable Product (MVP). Subsequent user stories will be developed and integrated in priority order. Each user story will be developed using a test-driven development (TDD) approach, ensuring that tests are written before implementation. Foundational components will be established first to provide a stable base for feature development.