k1nq
d582f15681
- Implemented tests for import polling functionality, ensuring correct behavior for active and terminal import statuses. - Created tests for the login page, validating user interactions and error handling. - Added unit tests for money utility functions, covering parsing, formatting, and summation of monetary values. - Developed tests for query keys, ensuring proper scoping and invalidation roots. chore: setup testing environment and configuration - Added setup file for testing with Vitest and Testing Library. - Configured TypeScript and Vite for the frontend project. - Created Docker and Nginx configurations for local development and production environments. - Established a PostgreSQL initialization script for setting up application roles. docs: add README and environment configuration for infra - Included README for the infra directory, detailing local development setup and service descriptions. - Created an example environment configuration file for local development with placeholders for sensitive information.
110 lines
3.4 KiB
Python
110 lines
3.4 KiB
Python
from datetime import date
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from fastapi import APIRouter, Query
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from app.analytics import service
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from app.dependencies import Context, Db
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router = APIRouter(prefix="/analytics", tags=["analytics"])
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@router.get("/category-spend")
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def category_spend(
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date_from: date = Query(alias="from"),
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date_to: date = Query(alias="to"),
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*,
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db: Db,
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context: Context,
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) -> list[dict]:
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rows = service.category_spend(
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db, space_id=context.space.id, date_from=date_from, date_to=date_to
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)
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return [
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{
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"categoryId": row["category_id"],
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"name": row["category"] if not row["category"].startswith("category.") else None,
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"nameKey": row["category"] if row["category"].startswith("category.") else None,
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"amountKopecks": row["amount_kopecks"],
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}
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for row in rows
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]
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@router.get("/cash-flow")
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def cash_flow(
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date_from: date = Query(alias="from"),
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date_to: date = Query(alias="to"),
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*,
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db: Db,
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context: Context,
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) -> list[dict]:
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rows = service.cash_flow(db, space_id=context.space.id, date_from=date_from, date_to=date_to)
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months: dict[str, dict[str, int | str]] = {}
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for row in rows:
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month = row["date"].strftime("%Y-%m")
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bucket = months.setdefault(
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month,
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{
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"month": month,
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"incomeKopecks": 0,
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"expenseKopecks": 0,
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"refundsKopecks": 0,
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"netKopecks": 0,
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},
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)
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amount = int(row["amount_kopecks"])
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key = {
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"income": "incomeKopecks",
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"expense": "expenseKopecks",
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"refund": "refundsKopecks",
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}[row["type"]]
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bucket[key] = int(bucket[key]) + abs(amount)
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bucket["netKopecks"] = int(bucket["netKopecks"]) + amount
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return list(months.values())
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@router.get("/plan-fact")
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def plan_fact(month: str, db: Db, context: Context) -> dict:
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from app.budgeting.router import parse_month
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year, month_number = parse_month(month)
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state = service.plan_fact(db, space_id=context.space.id, year=year, month=month_number)
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categories = state.get("monthly_categories", [])
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return {
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"month": month,
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"items": [
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{
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"categoryId": row["category_id"],
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"name": row["name"] if not str(row["name"]).startswith("category.") else None,
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"nameKey": row["name"] if str(row["name"]).startswith("category.") else None,
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"plannedKopecks": row["planned"],
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"actualKopecks": row["spent"],
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}
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for row in categories
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],
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}
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@router.get("/balances")
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def balances(db: Db, context: Context) -> dict:
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from datetime import UTC, datetime
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rows = service.balances(db, space_id=context.space.id)
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assets = sum(max(row["balance_kopecks"], 0) for row in rows if row["kind"] != "credit")
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liabilities = sum(row["debt_kopecks"] for row in rows)
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return {
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"asOf": datetime.now(UTC).date(),
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"assetsKopecks": assets,
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"liabilitiesKopecks": liabilities,
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"netKopecks": assets - liabilities,
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"items": [
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{
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"accountId": row["account_id"],
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"name": row["account"],
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"type": row["kind"],
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"balanceKopecks": row["balance_kopecks"],
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}
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for row in rows
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],
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}
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