MyMidas/backend/pyproject.toml
megaproxy 4572621f5d ML predictions Phase 4: SARIMA spending forecast with dual confidence bands
Replaces unused Prophet dependency (unrunnable without cmdstan) with
SARIMA (statsmodels SARIMAX) as the primary spending forecast algorithm.
Strategy: SARIMA(1,1,1)(1,0,1,12) for 12+ months of data, ARIMA(1,1,1)
for 6-11 months, Holt-Winters for 3-5 months, simple average below that.

Adds 95% confidence bands (1.96σ) alongside existing 80% (1.28σ).
Extends forecast horizon from 3 to 6 months and actuals display from
6 to 12 months. Each category now carries an algorithm field surfaced
as a badge in the UI. Frontend chart shows both confidence tiers as
stacked bar overlays with a 3-month summary grid below.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-28 10:30:26 +00:00

58 lines
1.2 KiB
TOML

[project]
name = "finance-tracker"
version = "0.1.0"
requires-python = ">=3.12"
dependencies = [
"fastapi>=0.115",
"uvicorn[standard]>=0.30",
"sqlalchemy[asyncio]>=2.0",
"asyncpg>=0.30",
"alembic>=1.14",
"redis[hiredis]>=5.2",
"pydantic[email]>=2.10",
"pydantic-settings>=2.7",
"argon2-cffi>=23.1",
"python-jose[cryptography]>=3.3",
"pyotp>=2.9",
"qrcode[pil]>=8.0",
"cryptography>=44.0",
"yfinance>=0.2",
"statsmodels>=0.14",
"numpy>=2.0",
"scipy>=1.14",
"pandas>=2.2",
"joblib>=1.4",
"apscheduler>=3.10",
"python-multipart>=0.0.12",
"httpx>=0.27",
"python-dateutil>=2.9",
"slowapi>=0.1.9",
"structlog>=24.0",
"pillow>=11.0",
"python-magic>=0.4",
"pytesseract>=0.3",
"pdfplumber>=0.11",
"pdf2image>=1.17",
"psycopg2-binary>=2.9",
]
[project.optional-dependencies]
dev = [
"pytest>=8.0",
"pytest-asyncio>=0.24",
"pytest-cov>=6.0",
"httpx>=0.27",
"anyio>=4.0",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.pytest.ini_options]
asyncio_mode = "auto"
asyncio_default_fixture_loop_scope = "session"
testpaths = ["tests"]
[tool.hatch.build.targets.wheel]
packages = ["app"]