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Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to add the "Htx_project_attemp_101 — Copilot Instructions" prompt rules to my project. Repository: https://github.com/Kaushator/Htx_project_attemp_101 Please read the repo to find the rules/prompt file, then: 1. Download it to the correct location (.cursorrules, .windsurfrules, .github/prompts/, or project root — based on the file type) 2. If there's an existing rules file, merge the new rules in rather than overwriting 3. Confirm what was added
Description
Copilot Instructions for Htx_project_attemp_101
Overview
• This is a multi-component trading analytics platform for HTX (Huobi) and 3Commas, with a FastAPI async backend, React frontend, and SQLAlchemy 2.0 async DB layer (SQLite/PostgreSQL). • Major backend domains: API endpoints, async DB models, file parsing, PnL analytics, cashflow, and external integrations (HTX, 3Commas). • Data flows: CSV/Excel files are parsed, stored in DB, analyzed, and exposed via REST API. 3Commas/HTX APIs are used for sync and automation.
Examples
• Add new endpoint: create router in api/v1/endpoints/, include in main.py • Add new service: implement in services/, inject via endpoint • Add DB model: define in models/, migrate with Alembic --- For more, see README.md and docs/architecture.md.
Key Directories & Files
• backend/app/ — FastAPI app, all main logic • main.py — FastAPI entrypoint, CORS, routers, error handling • core/ — config, logging, settings • api/v1/endpoints/ — REST endpoints (health, files, trades, cashflow, pnl) • models/, schemas/ — SQLAlchemy models, Pydantic schemas • services/ — business logic, integrations (e.g. threecommas.py) • db/ — async DB session, migrations • frontend/ — React app (optional) • htx_project/src/ — legacy/CLI analytics, file parsing, integrations • data/ — raw/processed files • scripts/ — setup, push, log (see .vscode/tasks.json)
Developer Workflows
• Setup: • Windows: scripts/setup_env.bat (creates .venv, installs deps, runs backend) • Manual: python -m venv .venv && .venv\Scripts\activate && pip install -r requirements.txt • Run backend: • From backend/: python -m uvicorn app.main:app --host 127.0.0.1 --port 8004 • Testing: • From backend/: pytest • Lint/Format: • black ., flake8 ., mypy . • Migrations: • Alembic config in backend/alembic.ini, migrations in backend/alembic/ • Frontend: • Usual React workflow (npm install, npm run dev)
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Works With
Any AI assistant that accepts custom rules or system prompts