mirror of
https://github.com/sstent/FitTrack_ReportGenerator.git
synced 2025-12-06 08:01:40 +00:00
sstent
9e0bd322d3
This commit introduces the initial version of the FitTrack Report Generator, a FastAPI application for analyzing workout files. Key features include: - Parsing of FIT, TCX, and GPX workout files. - Analysis of power, heart rate, speed, and elevation data. - Generation of summary reports and charts. - REST API for single and batch workout analysis. The project structure has been set up with a `src` directory for core logic, an `api` directory for the FastAPI application, and a `tests` directory for unit, integration, and contract tests. The development workflow is configured to use Docker and modern Python tooling.
85 lines
2.8 KiB
TOML
85 lines
2.8 KiB
TOML
description = "Execute the implementation planning workflow using the plan template to generate design artifacts."
|
|
|
|
prompt = """
|
|
---
|
|
description: Execute the implementation planning workflow using the plan template to generate design artifacts.
|
|
---
|
|
|
|
## User Input
|
|
|
|
```text
|
|
$ARGUMENTS
|
|
```
|
|
|
|
You **MUST** consider the user input before proceeding (if not empty).
|
|
|
|
## Outline
|
|
|
|
1. **Setup**: Run `.specify/scripts/bash/setup-plan.sh --json` from repo root and parse JSON for FEATURE_SPEC, IMPL_PLAN, SPECS_DIR, BRANCH.
|
|
|
|
2. **Load context**: Read FEATURE_SPEC and `.specify.specify/memory/constitution.md`. Load IMPL_PLAN template (already copied).
|
|
|
|
3. **Execute plan workflow**: Follow the structure in IMPL_PLAN template to:
|
|
- Fill Technical Context (mark unknowns as "NEEDS CLARIFICATION")
|
|
- Fill Constitution Check section from constitution
|
|
- Evaluate gates (ERROR if violations unjustified)
|
|
- Phase 0: Generate research.md (resolve all NEEDS CLARIFICATION)
|
|
- Phase 1: Generate data-model.md, contracts/, quickstart.md
|
|
- Phase 1: Update agent context by running the agent script
|
|
- Re-evaluate Constitution Check post-design
|
|
|
|
4. **Stop and report**: Command ends after Phase 2 planning. Report branch, IMPL_PLAN path, and generated artifacts.
|
|
|
|
## Phases
|
|
|
|
### Phase 0: Outline & Research
|
|
|
|
1. **Extract unknowns from Technical Context** above:
|
|
- For each NEEDS CLARIFICATION → research task
|
|
- For each dependency → best practices task
|
|
- For each integration → patterns task
|
|
|
|
2. **Generate and dispatch research agents**:
|
|
```
|
|
For each unknown in Technical Context:
|
|
Task: "Research {unknown} for {feature context}"
|
|
For each technology choice:
|
|
Task: "Find best practices for {tech} in {domain}"
|
|
```
|
|
|
|
3. **Consolidate findings** in `research.md` using format:
|
|
- Decision: [what was chosen]
|
|
- Rationale: [why chosen]
|
|
- Alternatives considered: [what else evaluated]
|
|
|
|
**Output**: research.md with all NEEDS CLARIFICATION resolved
|
|
|
|
### Phase 1: Design & Contracts
|
|
|
|
**Prerequisites:** `research.md` complete
|
|
|
|
1. **Extract entities from feature spec** → `data-model.md`:
|
|
- Entity name, fields, relationships
|
|
- Validation rules from requirements
|
|
- State transitions if applicable
|
|
|
|
2. **Generate API contracts** from functional requirements:
|
|
- For each user action → endpoint
|
|
- Use standard REST/GraphQL patterns
|
|
- Output OpenAPI/GraphQL schema to `/contracts/`
|
|
|
|
3. **Agent context update**:
|
|
- Run `.specify/scripts/bash/update-agent-context.sh gemini`
|
|
- These scripts detect which AI agent is in use
|
|
- Update the appropriate agent-specific context file
|
|
- Add only new technology from current plan
|
|
- Preserve manual additions between markers
|
|
|
|
**Output**: data-model.md, /contracts/*, quickstart.md, agent-specific file
|
|
|
|
## Key rules
|
|
|
|
- Use absolute paths
|
|
- ERROR on gate failures or unresolved clarifications
|
|
"""
|