fixup! WIP

fixup! .gitea/workflows: init test pipeline
fixup! WIP
2025-12-10 15:42:22 +09:00 · 2025-12-10 15:42:21 +09:00 · 2025-12-10 15:38:32 +09:00 · 2025-12-10 14:25:42 +09:00 · 2025-12-10 13:40:29 +09:00 · 2025-12-10 13:40:15 +09:00
19 changed files with 300 additions and 621 deletions
--- a/dibbler/queries/current_interest.py
+++ b/dibbler/queries/current_interest.py
@@ -8,7 +8,6 @@ from dibbler.models.Transaction import DEFAULT_INTEREST_RATE_PERCENTAGE
 # TODO: add until transaction parameter
 # TODO: add until datetime parameter

-
 def current_interest(sql_session: Session) -> int:
    result = sql_session.scalars(
        select(Transaction)
--- a/dibbler/queries/current_penalty.py
+++ b/dibbler/queries/current_penalty.py
@@ -11,7 +11,6 @@ from dibbler.models.Transaction import (
 # TODO: add until transaction parameter
 # TODO: add until datetime parameter

-
 def current_penalty(sql_session: Session) -> tuple[int, int]:
    result = sql_session.scalars(
        select(Transaction)
--- a/dibbler/queries/joint_buy_product.py
+++ b/dibbler/queries/joint_buy_product.py
@@ -25,18 +25,12 @@ def joint_buy_product(
    if product.id is None:
        raise ValueError("Product must be persisted in the database.")

-    if instigator.id is None:
-        raise ValueError("Instigator must be persisted in the database.")
-
-    if len(users) == 0:
-        raise ValueError("At least bying one user must be specified.")
+    if instigator not in users:
+        raise ValueError("Instigator must be in the list of users buying the product.")

    if any(user.id is None for user in users):
        raise ValueError("All users must be persisted in the database.")

-    if instigator not in users:
-        raise ValueError("Instigator must be in the list of users buying the product.")
-
    if product_count <= 0:
        raise ValueError("Product count must be positive.")

--- a/dibbler/queries/product_owners.py
+++ b/dibbler/queries/product_owners.py
@@ -8,7 +8,6 @@ from sqlalchemy import (
    bindparam,
    case,
    func,
-    or_,
    select,
 )
 from sqlalchemy.orm import Session
@@ -28,7 +27,6 @@ def _product_owners_query(
    use_cache: bool = True,
    until: BindParameter[datetime] | datetime | None = None,
    cte_name: str = "rec_cte",
-    trx_subset_name: str = "trx_subset",
 ) -> CTE:
    """
    The inner query for inferring the owners of a given product.
@@ -61,18 +59,20 @@ def _product_owners_query(
        )
        # TODO: maybe add value constraint on ADJUST_STOCK?
        .where(
-            or_(
-                Transaction.type_ == TransactionType.ADD_PRODUCT.as_literal_column(),
-                and_(
-                    Transaction.type_ == TransactionType.ADJUST_STOCK.as_literal_column(),
-                    Transaction.product_count > CONST_ZERO,
-                ),
+            Transaction.type_.in_(
+                [
+                    TransactionType.ADD_PRODUCT.as_literal_column(),
+                    # TransactionType.BUY_PRODUCT,
+                    TransactionType.ADJUST_STOCK.as_literal_column(),
+                    # TransactionType.JOINT,
+                    # TransactionType.THROW_PRODUCT,
+                ]
            ),
            Transaction.product_id == product_id,
            CONST_TRUE if until is None else Transaction.time <= until,
        )
        .order_by(Transaction.time.desc())
-        .subquery(trx_subset_name)
+        .subquery()
    )

    initial_element = select(
@@ -117,19 +117,35 @@ def _product_owners_query(
            ).label("product_count"),
            # How many products left to account for
            case(
-                # Someone adds the product -> known owner, decrease the number of products left to account for
+                # Someone adds the product -> increase the number of products left to account for
                (
                    trx_subset.c.type_ == TransactionType.ADD_PRODUCT.as_literal_column(),
                    recursive_cte.c.products_left_to_account_for - trx_subset.c.product_count,
                ),
-                # Stock got adjusted upwards -> none owner, decrease the number of products left to account for
+                # Someone buys/joins/throws the product -> decrease the number of products left to account for
+                # (
+                #     trx_subset.c.type_.in_(
+                #         [
+                #             TransactionType.BUY_PRODUCT,
+                #             TransactionType.JOINT,
+                #             TransactionType.THROW_PRODUCT,
+                #         ]
+                #     ),
+                #     recursive_cte.c.products_left_to_account_for - trx_subset.c.product_count,
+                # ),
+                # Someone adjusts the stock ->
+                #   If adjusted upwards -> products owned by nobody, decrease products left to account for
+                #   If adjusted downwards -> products taken away from owners, decrease products left to account for
                (
-                    and_(
-                        trx_subset.c.type_ == TransactionType.ADJUST_STOCK.as_literal_column(),
-                        trx_subset.c.product_count > CONST_ZERO,
-                    ),
+                    (trx_subset.c.type_ == TransactionType.ADJUST_STOCK.as_literal_column())
+                    and (trx_subset.c.product_count > CONST_ZERO),
                    recursive_cte.c.products_left_to_account_for - trx_subset.c.product_count,
                ),
+                # (
+                #     (trx_subset.c.type_ == TransactionType.ADJUST_STOCK)
+                #     and (trx_subset.c.product_count < 0),
+                #     recursive_cte.c.products_left_to_account_for + trx_subset.c.product_count,
+                # ),
                else_=recursive_cte.c.products_left_to_account_for,
            ).label("products_left_to_account_for"),
        )
@@ -137,7 +153,6 @@ def _product_owners_query(
        .where(
            and_(
                trx_subset.c.i == recursive_cte.c.i + CONST_ONE,
-                # Base case: stop if we've accounted for all products
                recursive_cte.c.products_left_to_account_for > CONST_ZERO,
            )
        )
@@ -152,10 +167,8 @@ class ProductOwnersLogEntry:
    user: User | None
    products_left_to_account_for: int

-
 # TODO: add until datetime parameter

-
 def product_owners_log(
    sql_session: Session,
    product: Product,
@@ -217,7 +230,6 @@ def product_owners_log(

 # TODO: add until transaction parameter

-
 def product_owners(
    sql_session: Session,
    product: Product,
--- a/dibbler/queries/product_price.py
+++ b/dibbler/queries/product_price.py
@@ -29,7 +29,6 @@ def _product_price_query(
    until: BindParameter[datetime] | datetime | None = None,
    until_including: BindParameter[bool] | bool = True,
    cte_name: str = "rec_cte",
-    trx_subset_name: str = "trx_subset",
 ):
    """
    The inner query for calculating the product price.
@@ -85,7 +84,7 @@ def _product_price_query(
            else CONST_TRUE,
        )
        .order_by(Transaction.time.asc())
-        .subquery(trx_subset_name)
+        .alias("trx_subset")
    )

    recursive_elements = (
@@ -173,7 +172,6 @@ class ProductPriceLogEntry:

 # TODO: add until datetime parameter

-
 def product_price_log(
    sql_session: Session,
    product: Product,
@@ -228,7 +226,6 @@ def product_price_log(

 # TODO: add until datetime parameter

-
 def product_price(
    sql_session: Session,
    product: Product,
--- a/dibbler/queries/product_stock.py
+++ b/dibbler/queries/product_stock.py
@@ -1,5 +1,4 @@
 from datetime import datetime
-from typing import Tuple

 from sqlalchemy import (
    BindParameter,
@@ -22,7 +21,7 @@ def _product_stock_query(
    product_id: BindParameter[int] | int,
    use_cache: bool = True,
    until: BindParameter[datetime] | datetime | None = None,
-) -> Select[Tuple[int]]:
+) -> Select:
    """
    The inner query for calculating the product stock.
    """
@@ -61,7 +60,7 @@ def _product_stock_query(
                ),
                else_=0,
            )
-        ).label("stock")
+        )
    ).where(
        Transaction.type_.in_(
            [
@@ -81,7 +80,6 @@ def _product_stock_query(

 # TODO: add until transaction parameter

-
 def product_stock(
    sql_session: Session,
    product: Product,
--- a/dibbler/queries/transaction_log.py
+++ b/dibbler/queries/transaction_log.py
@@ -1,5 +1,3 @@
-from datetime import datetime
-
 from sqlalchemy import select
 from sqlalchemy.orm import Session

@@ -18,10 +16,10 @@ def transaction_log(
    user: User | None = None,
    product: Product | None = None,
    exclusive_after: bool = False,
-    after_time: datetime | None = None,
+    after_time=None,
    after_transaction_id: int | None = None,
    exclusive_before: bool = False,
-    before_time: datetime | None = None,
+    before_time=None,
    before_transaction_id: int | None = None,
    transaction_type: list[TransactionType] | None = None,
    negate_transaction_type_filter: bool = False,
@@ -47,10 +45,7 @@ def transaction_log(
        raise ValueError("Product must be persisted in the database.")

    if not (after_time is None or after_transaction_id is None):
-        raise ValueError("Cannot filter by both after_time and after_transaction_id.")
-
-    if not (before_time is None or before_transaction_id is None):
-        raise ValueError("Cannot filter by both before_time and before_transaction_id.")
+        raise ValueError("Cannot filter by both from_time and from_transaction_id.")

    query = select(Transaction)
    if user is not None:
--- a/dibbler/queries/user_balance.py
+++ b/dibbler/queries/user_balance.py
@@ -1,13 +1,11 @@
 from dataclasses import dataclass
 from datetime import datetime
-from typing import Tuple

 from sqlalchemy import (
    CTE,
    BindParameter,
    Float,
    Integer,
-    Select,
    and_,
    case,
    cast,
@@ -16,7 +14,7 @@ from sqlalchemy import (
    or_,
    select,
 )
-from sqlalchemy.orm import Session, aliased
+from sqlalchemy.orm import Session

 from dibbler.lib.query_helpers import CONST_NONE, CONST_ONE, CONST_TRUE, CONST_ZERO, const
 from dibbler.models import (
@@ -32,187 +30,12 @@ from dibbler.models.Transaction import (
 from dibbler.queries.product_price import _product_price_query


-def _joint_transaction_query(
-    user_id: BindParameter[int] | int,
-    use_cache: bool,
-    until: BindParameter[datetime] | None,
-    until_including: BindParameter[bool],
-) -> Select[Tuple[int, int, int]]:
-    """
-    The inner query for getting joint transactions relevant to a user.
-
-    This scans for JOINT_BUY_PRODUCT transactions made by the user,
-    then finds the corresponding JOINT transactions, and counts how many "shares"
-    of the joint transaction the user has, as well as the total number of shares.
-    """
-
-    # First, select all joint buy product transactions for the given user
-    # sub_joint_transaction = aliased(Transaction, name="right_trx")
-    sub_joint_transaction = (
-        select(Transaction.joint_transaction_id.distinct().label("joint_transaction_id"))
-        .where(
-            Transaction.type_ == TransactionType.JOINT_BUY_PRODUCT.as_literal_column(),
-            Transaction.user_id == user_id,
-        )
-        .subquery("sub_joint_transaction")
-    )
-
-    # Join those with their main joint transaction
-    # (just use Transaction)
-
-    # Then, count how many users are involved in each joint transaction
-    joint_transaction_count = aliased(Transaction, name="count_trx")
-
-    joint_transaction = (
-        select(
-            Transaction.id,
-            # Shares the user has in the transaction,
-            func.sum(
-                case(
-                    (joint_transaction_count.user_id == user_id, CONST_ONE),
-                    else_=CONST_ZERO,
-                )
-            ).label("user_shares"),
-            # The total number of shares in the transaction,
-            func.count(joint_transaction_count.id).label("user_count"),
-        )
-        .select_from(sub_joint_transaction)
-        .join(
-            Transaction,
-            onclause=Transaction.id == sub_joint_transaction.c.joint_transaction_id,
-        )
-        .join(
-            joint_transaction_count,
-            onclause=joint_transaction_count.joint_transaction_id == Transaction.id,
-        )
-        .where(
-            case(
-                (until_including, sub_joint_transaction.time <= until),
-                else_=sub_joint_transaction.time < until,
-            )
-            if until is not None
-            else CONST_TRUE,
-        )
-        .group_by(joint_transaction_count.joint_transaction_id)
-    )
-
-    return joint_transaction
-
-
-def _non_joint_transaction_query(
-    user_id: BindParameter[int] | int,
-    use_cache: bool,
-    until: BindParameter[datetime] | None,
-    until_including: BindParameter[bool],
-) -> Select[Tuple[int, None, None]]:
-    """
-    The inner query for getting non-joint transactions relevant to a user.
-    """
-
-    query = select(
-        Transaction.id,
-        CONST_NONE.label("user_shares"),
-        CONST_NONE.label("user_count"),
-    ).where(
-        or_(
-            and_(
-                Transaction.user_id == user_id,
-                Transaction.type_.in_(
-                    [
-                        TransactionType.ADD_PRODUCT.as_literal_column(),
-                        TransactionType.ADJUST_BALANCE.as_literal_column(),
-                        TransactionType.BUY_PRODUCT.as_literal_column(),
-                        TransactionType.TRANSFER.as_literal_column(),
-                    ]
-                ),
-            ),
-            and_(
-                Transaction.type_ == TransactionType.TRANSFER.as_literal_column(),
-                Transaction.transfer_user_id == user_id,
-            ),
-            Transaction.type_.in_(
-                [
-                    TransactionType.THROW_PRODUCT.as_literal_column(),
-                    TransactionType.ADJUST_INTEREST.as_literal_column(),
-                    TransactionType.ADJUST_PENALTY.as_literal_column(),
-                ]
-            ),
-            case(
-                (until_including, Transaction.time <= until),
-                else_=Transaction.time < until,
-            )
-            if until is not None
-            else CONST_TRUE,
-        ),
-    )
-
-    return query
-
-
-def _product_cost_expression(
-    product_count_column,
-    product_id_column,
-    interest_rate_percent_column,
-    user_balance_column,
-    penalty_threshold_column,
-    penalty_multiplier_percent_column,
-    use_cache: bool,
-    until: BindParameter[datetime] | None,
-    cte_name: str = "product_price_cte",
-    trx_subset_name: str = "product_price_trx_subset",
-):
-    expression = (
-        product_count_column
-        # Price of a single product, accounted for penalties and interest.
-        * cast(
-            func.ceil(
-                # TODO: This can get quite expensive real quick, so we should do some caching of the
-                #       product prices somehow.
-                # Base price
-                (
-                    # FIXME: this always returns 0 for some reason...
-                    select(cast(column("price"), Float))
-                    .select_from(
-                        _product_price_query(
-                            product_id_column,
-                            use_cache=use_cache,
-                            until=until,
-                            until_including=False,
-                            cte_name=cte_name,
-                            trx_subset_name=trx_subset_name,
-                        )
-                    )
-                    .order_by(column("i").desc())
-                    .limit(CONST_ONE)
-                ).scalar_subquery()
-                # TODO: should interest be applied before or after the penalty multiplier?
-                #       at the moment of writing, after sound right, but maybe ask someone?
-                # Interest
-                * (cast(interest_rate_percent_column, Float) / const(100))
-                # TODO: these should be added together, not multiplied, see specification
-                # Penalty
-                * case(
-                    (
-                        user_balance_column < penalty_threshold_column,
-                        (cast(penalty_multiplier_percent_column, Float) / const(100)),
-                    ),
-                    else_=const(1.0),
-                )
-            ),
-            Integer,
-        )
-    )
-
-    return expression
-
-
 def _user_balance_query(
    user_id: BindParameter[int] | int,
    use_cache: bool = True,
-    until: BindParameter[datetime] | datetime | None = None,
+    until: BindParameter[datetime] | BindParameter[None] | datetime | None = None,
    until_including: BindParameter[bool] | bool = True,
    cte_name: str = "rec_cte",
-    trx_subset_name: str = "trx_subset",
 ) -> CTE:
    """
    The inner query for calculating the user's balance.
@@ -225,10 +48,10 @@ def _user_balance_query(
        user_id = BindParameter("user_id", value=user_id)

    if isinstance(until, datetime):
-        until = BindParameter("until", value=until)
+        until = BindParameter("until", value=until, type_=datetime)

    if isinstance(until_including, bool):
-        until_including = BindParameter("until_including", value=until_including)
+        until_including = BindParameter("until_including", value=until_including, type_=bool)

    initial_element = select(
        CONST_ZERO.label("i"),
@@ -242,30 +65,12 @@ def _user_balance_query(

    recursive_cte = initial_element.cte(name=cte_name, recursive=True)

-    trx_subset_subset = (
-        _non_joint_transaction_query(
-            user_id=user_id,
-            use_cache=use_cache,
-            until=until,
-            until_including=until_including,
-        )
-        .union_all(
-            _joint_transaction_query(
-                user_id=user_id,
-                use_cache=use_cache,
-                until=until,
-                until_including=until_including,
-            )
-        )
-        .subquery(f"{trx_subset_name}_subset")
-    )
-
    # Subset of transactions that we'll want to iterate over.
    trx_subset = (
        select(
            func.row_number().over(order_by=Transaction.time.asc()).label("i"),
-            Transaction.id,
            Transaction.amount,
+            Transaction.id,
            Transaction.interest_rate_percent,
            Transaction.penalty_multiplier_percent,
            Transaction.penalty_threshold,
@@ -274,16 +79,44 @@ def _user_balance_query(
            Transaction.time,
            Transaction.transfer_user_id,
            Transaction.type_,
-            trx_subset_subset.c.user_shares,
-            trx_subset_subset.c.user_count,
        )
-        .select_from(trx_subset_subset)
-        .join(
-            Transaction,
-            onclause=Transaction.id == trx_subset_subset.c.id,
+        .where(
+            or_(
+                and_(
+                    Transaction.user_id == user_id,
+                    Transaction.type_.in_(
+                        [
+                            TransactionType.ADD_PRODUCT.as_literal_column(),
+                            TransactionType.ADJUST_BALANCE.as_literal_column(),
+                            TransactionType.BUY_PRODUCT.as_literal_column(),
+                            TransactionType.TRANSFER.as_literal_column(),
+                            # TODO: join this with the JOINT transactions, and determine
+                            #       how much the current user paid for the product.
+                            TransactionType.JOINT_BUY_PRODUCT.as_literal_column(),
+                        ]
+                    ),
+                ),
+                and_(
+                    Transaction.type_ == TransactionType.TRANSFER.as_literal_column(),
+                    Transaction.transfer_user_id == user_id,
+                ),
+                Transaction.type_.in_(
+                    [
+                        TransactionType.THROW_PRODUCT.as_literal_column(),
+                        TransactionType.ADJUST_INTEREST.as_literal_column(),
+                        TransactionType.ADJUST_PENALTY.as_literal_column(),
+                    ]
+                ),
+            ),
+            case(
+                (until_including, Transaction.time <= until),
+                else_=Transaction.time < until,
+            )
+            if until is not None
+            else CONST_TRUE,
        )
        .order_by(Transaction.time.asc())
-        .subquery(trx_subset_name)
+        .alias("trx_subset")
    )

    recursive_elements = (
@@ -306,39 +139,48 @@ def _user_balance_query(
                (
                    trx_subset.c.type_ == TransactionType.BUY_PRODUCT.as_literal_column(),
                    recursive_cte.c.balance
-                    - _product_cost_expression(
-                        product_count_column=trx_subset.c.product_count,
-                        product_id_column=trx_subset.c.product_id,
-                        interest_rate_percent_column=recursive_cte.c.interest_rate_percent,
-                        user_balance_column=recursive_cte.c.balance,
-                        penalty_threshold_column=recursive_cte.c.penalty_threshold,
-                        penalty_multiplier_percent_column=recursive_cte.c.penalty_multiplier_percent,
-                        use_cache=use_cache,
-                        until=until,
-                        cte_name=f"{cte_name}_price",
-                        trx_subset_name=f"{trx_subset_name}_price",
-                    ),
-                ),
-                # Joint transaction -> balance decreases proportionally
-                (
-                    trx_subset.c.type_ == TransactionType.JOINT.as_literal_column(),
-                    recursive_cte.c.balance
-                    - func.ceil(
-                        _product_cost_expression(
-                            product_count_column=trx_subset.c.product_count,
-                            product_id_column=trx_subset.c.product_id,
-                            interest_rate_percent_column=recursive_cte.c.interest_rate_percent,
-                            user_balance_column=recursive_cte.c.balance,
-                            penalty_threshold_column=recursive_cte.c.penalty_threshold,
-                            penalty_multiplier_percent_column=recursive_cte.c.penalty_multiplier_percent,
-                            use_cache=use_cache,
-                            until=until,
-                            cte_name=f"{cte_name}_joint_price",
-                            trx_subset_name=f"{trx_subset_name}_joint_price",
+                    - (
+                        trx_subset.c.product_count
+                        # Price of a single product, accounted for penalties and interest.
+                        * cast(
+                            func.ceil(
+                                # TODO: This can get quite expensive real quick, so we should do some caching of the
+                                #       product prices somehow.
+                                # Base price
+                                (
+                                    # FIXME: this always returns 0 for some reason...
+                                    select(cast(column("price"), Float))
+                                    .select_from(
+                                        _product_price_query(
+                                            trx_subset.c.product_id,
+                                            use_cache=use_cache,
+                                            until=trx_subset.c.time,
+                                            until_including=False,
+                                            cte_name="product_price_cte",
+                                        )
+                                    )
+                                    .order_by(column("i").desc())
+                                    .limit(CONST_ONE)
+                                ).scalar_subquery()
+                                # TODO: should interest be applied before or after the penalty multiplier?
+                                #       at the moment of writing, after sound right, but maybe ask someone?
+                                # Interest
+                                * (cast(recursive_cte.c.interest_rate_percent, Float) / const(100))
+                                # TODO: these should be added together, not multiplied, see specification
+                                # Penalty
+                                * case(
+                                    (
+                                        recursive_cte.c.balance < recursive_cte.c.penalty_threshold,
+                                        (
+                                            cast(recursive_cte.c.penalty_multiplier_percent, Float)
+                                            / const(100)
+                                        ),
+                                    ),
+                                    else_=const(1.0),
+                                )
+                            ),
+                            Integer,
                        )
-                        # TODO: move this inside of the product cost expression
-                        * trx_subset.c.user_shares
-                        / trx_subset.c.user_count
                    ),
                ),
                # Transfers money to self ->  balance increases
@@ -417,10 +259,8 @@ class UserBalanceLogEntry:

        # return self.transaction.type_ == TransactionType.BUY_PRODUCT and prev?

-
 # TODO: add until datetime parameter

-
 def user_balance_log(
    sql_session: Session,
    user: User,
@@ -481,7 +321,6 @@ def user_balance_log(

 # TODO: add until datetime parameter

-
 def user_balance(
    sql_session: Session,
    user: User,
--- a/dibbler/subcommands/repopulate_cache.py
+++ b/dibbler/subcommands/repopulate_cache.py
@@ -0,0 +1 @@
+# TODO: implement me
--- a/docs/economics.md
+++ b/docs/economics.md
@@ -1,4 +1,4 @@
-# Dibbler economy spec v1
+# Economics

 This document provides an overview of how dibbler counts and calculates its running event log.

@@ -161,52 +161,27 @@ new_user_balance = user_balance - (products_bought * (product_price + penalty +

 ### When your balance is above the penalty threshold before buying, but the purchase pushes you below the threshold

-When your balance is above the penalty threshold before buying, but the purchase pushes you below the threshold, the system not apply any penalty for the purchase. The entire purchase is done at the normal product price plus any interest.
+TODO:

 ```python
-new_user_balance = user_balance - (products_bought * product_price * (1 + interest_rate))
 ```

-> [!NOTE]
-> In the case where you are performing multiple transactions at once, the system should try its best to order the purchases in a way that minimizes the amount of penalties you need to pay.
-
 ### Joint purchases, when all users are above the penalty threshold and stays above the threshold

-When making joint purchases (multiple users buying products together), and all users are above the penalty threshold before and after the purchase, the total cost (including interest) will be split equally between all users. The price will be rounded up for each user after splitting the bill.
+TODO: how does rounding work here, does one user pay more than the other?

-```python
-total_cost = product_price * products_bought * (1 + interest_rate)
-cost_per_user = math.ceil(total_cost / number_of_users)
-new_user_balance = user_balance - cost_per_user
-```
+TODO: ordering the purchases in favor of the user.

-### Joint purchases where a user appears more than one time
+When performing joint purchases (multiple users

-When a user appears more than once in a joint purchase (e.g. two people buying together, but one of them is buying twice as much as the other), the system will treat these subtransactions as a single transaction for the purpose of calculating penalties and interest. You can think of it as if the user is having shares in the joint purchase.

 ### Joint purchases when one or more users are below the penalty threshold

-The cost for each user will be calculated as usual, but for the users who are below the penalty threshold, the penalty will also be calculated and added to this user's cost. The penalty is calculated based on the share of the total purchase that this user is responsible for.
-
-```python
-total_cost = product_price * products_bought * (1 + interest_rate)
-cost_per_user = math.ceil(total_cost / number_of_users)
-penalty_for_user = math.ceil((product_price * products_bought / number_of_users) * (penalty_multiplier - 1))
-new_user_balance = user_balance - (cost_per_user * penalty_multiplier) - penalty_for_user
-```
+TODO

 ### Joint purchases when one or more users will end up below the penalty threshold after the purchase

-Just as the single-user case, if a user who is part of a joint purchase is above the penalty threshold before the purchase, but will end up below the threshold after the purchase, no penalty will be applied to that user for this purchase. The entire cost (including interest) will be split equally between all users.
-
-```python
-total_cost = product_price * products_bought * (1 + interest_rate)
-cost_per_user = math.ceil(total_cost / number_of_users)
-new_user_balance = user_balance - cost_per_user
-```
-
-> [!NOTE]
-> In the case where you (and others) are performing multiple transactions at once, the system should try its best to order the purchases in a way that minimizes the amount of penalties you need to pay.
+TODO

 ## Who owns a product

@@ -222,26 +197,12 @@ Upon throwing away products (not manual adjustment), the system will pull money

 ## Other actions

-### Transfers
+Transfers

-You can transfer money from one user to another. The amount transferred will be deducted from the sender's balance and added to the receiver's balance without any interest or penalty applied.
+  Note about self-transfers

-```python
-new_sender_balance = sender_balance - amount_transferred
-new_receiver_balance = receiver_balance + amount_transferred
-```
-
-> [!NOTE]
-> Transfers from one user to itself are not allowed.
-
-### Balance adjustments
-
-You can manually adjust a user's balance. This action will not have any multipliers of any kind applied, and will simply add or subtract the specified amount from the user's balance.
-
-```python
-new_user_balance = user_balance + adjustment_amount
-```
+Balance adjustments

 ## Updating the economy specification

-All transactions in the database are tagged with the economy specification version they were created under. If you are to update this document with changes to how the economy works, and change the software accordingly, you will want to keep the old logic around and bump the version number. This way, the old event log is still valid, and will be aggregated using the old logic, while new transactions will user the logic applicable to the version they were created under.
+Keep old logic, database rows tagged with spec version.
--- a/tests/models/test_transaction.py
+++ b/tests/models/test_transaction.py
@@ -123,6 +123,24 @@ def test_transaction_buy_product_more_than_stock(sql_session: Session) -> None:
    assert product_stock(sql_session, product) == 1 - 10


+def test_transaction_buy_product_dont_allow_no_add_product_transactions(
+    sql_session: Session,
+) -> None:
+    user, product = insert_test_data(sql_session)
+
+    transaction = Transaction.buy_product(
+        time=datetime(2023, 10, 1, 12, 0, 0),
+        product_count=1,
+        user_id=user.id,
+        product_id=product.id,
+    )
+
+    sql_session.add(transaction)
+
+    with pytest.raises(ValueError):
+        sql_session.commit()
+
+
 def test_transaction_add_product_deny_amount_over_per_product_times_product_count(
    sql_session: Session,
 ) -> None:
--- a/tests/queries/test_adjust_interest.py
+++ b/tests/queries/test_adjust_interest.py
@@ -15,18 +15,6 @@ def insert_test_data(sql_session: Session) -> User:
    return user


-def test_adjust_interest_unitialized_user(sql_session: Session) -> None:
-    user = User("Uninitialized User")
-
-    with pytest.raises(ValueError, match="User must be persisted in the database."):
-        adjust_interest(
-            sql_session,
-            user=user,
-            new_interest=4,
-            message="Attempting to adjust interest for uninitialized user",
-        )
-
-
 def test_adjust_interest_no_history(sql_session: Session) -> None:
    user = insert_test_data(sql_session)

--- a/tests/queries/test_adjust_penalty.py
+++ b/tests/queries/test_adjust_penalty.py
@@ -19,19 +19,6 @@ def insert_test_data(sql_session: Session) -> User:
    return user


-def test_adjust_penalty_unitialized_user(sql_session: Session) -> None:
-    user = User("Uninitialized User")
-
-    with pytest.raises(ValueError, match="User must be persisted in the database."):
-        adjust_penalty(
-            sql_session,
-            user=user,
-            new_penalty=-100,
-            new_penalty_multiplier=110,
-            message="Attempting to adjust penalty for uninitialized user",
-        )
-
-
 def test_adjust_penalty_no_history(sql_session: Session) -> None:
    user = insert_test_data(sql_session)

--- a/tests/queries/test_joint_buy_product.py
+++ b/tests/queries/test_joint_buy_product.py
@@ -33,12 +33,12 @@ def insert_test_data(sql_session: Session) -> tuple[User, User, User, Product]:
    return user1, user2, user3, product


-def test_joint_buy_product_uninitialized_product(sql_session: Session) -> None:
+def test_joint_buy_product_missing_product(sql_session: Session) -> None:
    user = User("Test User 1")
    sql_session.add(user)
    sql_session.commit()

-    product = Product("1234567890123", "Uninitialized Product")
+    product = Product("1234567890123", "Test Product")

    with pytest.raises(ValueError):
        joint_buy_product(
@@ -50,42 +50,18 @@ def test_joint_buy_product_uninitialized_product(sql_session: Session) -> None:
        )


-def test_joint_buy_product_no_users(sql_session: Session) -> None:
-    user, _, _, product = insert_test_data(sql_session)
+def test_joint_buy_product_missing_user(sql_session: Session) -> None:
+    user = User("Test User 1")
+
+    product = Product("1234567890123", "Test Product")
+    sql_session.add(product)
+    sql_session.commit()

    with pytest.raises(ValueError):
        joint_buy_product(
            sql_session,
            instigator=user,
-            users=[],
-            product=product,
-            product_count=1,
-        )
-
-
-def test_joint_buy_product_uninitialized_instigator(sql_session: Session) -> None:
-    user, user2, _, product = insert_test_data(sql_session)
-
-    uninitialized_user = User("Uninitialized User")
-    with pytest.raises(ValueError):
-        joint_buy_product(
-            sql_session,
-            instigator=uninitialized_user,
-            users=[user, user2],
-            product=product,
-            product_count=1,
-        )
-
-
-def test_joint_buy_product_uninitialized_user_in_list(sql_session: Session) -> None:
-    user, _, _, product = insert_test_data(sql_session)
-
-    uninitialized_user = User("Uninitialized User")
-    with pytest.raises(ValueError):
-        joint_buy_product(
-            sql_session,
-            instigator=user,
-            users=[user, uninitialized_user],
+            users=[user],
            product=product,
            product_count=1,
        )
--- a/tests/queries/test_product_owners.py
+++ b/tests/queries/test_product_owners.py
@@ -1,7 +1,6 @@
 from datetime import datetime
 from pprint import pprint

-import pytest
 from sqlalchemy.orm import Session

 from dibbler.models import Product, User
@@ -21,17 +20,6 @@ def insert_test_data(sql_session: Session) -> tuple[Product, User]:
    return product, user


-def test_product_owners_unitilialized_product(sql_session: Session) -> None:
-    user = User("testuser")
-    sql_session.add(user)
-    sql_session.commit()
-
-    product = Product("1234567890123", "Uninitialized Product")
-
-    with pytest.raises(ValueError):
-        product_owners(sql_session, product)
-
-
 def test_product_owners_no_transactions(sql_session: Session) -> None:
    product, _ = insert_test_data(sql_session)

--- a/tests/queries/test_product_price.py
+++ b/tests/queries/test_product_price.py
@@ -2,7 +2,6 @@ import math
 from datetime import datetime
 from pprint import pprint

-import pytest
 from sqlalchemy.orm import Session

 from dibbler.models import Product, Transaction, User
@@ -23,17 +22,6 @@ def insert_test_data(sql_session: Session) -> tuple[User, Product]:
    return user, product


-def test_product_price_uninitialized_product(sql_session: Session) -> None:
-    user = User("Test User")
-    sql_session.add(user)
-    sql_session.commit()
-
-    product = Product("1234567890123", "Uninitialized Product")
-
-    with pytest.raises(ValueError, match="Product must be persisted in the database."):
-        product_price(sql_session, product)
-
-
 def test_product_price_no_transactions(sql_session: Session) -> None:
    _, product = insert_test_data(sql_session)

@@ -307,6 +295,7 @@ def test_product_price_with_negative_stock_single_addition(sql_session: Session)
    assert product1_price == 22


+# TODO: what happens when stock is still negative and yet new products are added?
 def test_product_price_with_negative_stock_multiple_additions(sql_session: Session) -> None:
    user, product = insert_test_data(sql_session)

@@ -348,9 +337,9 @@ def test_product_price_with_negative_stock_multiple_additions(sql_session: Sessi

    pprint(product_price_log(sql_session, product))

-    # Stock went subzero, price should be the last added product price
+    # Stock went subzero, price should be the ceiled average of the last added products
    product1_price = product_price(sql_session, product)
-    assert product1_price == math.ceil(29)
+    assert product1_price == math.ceil((22 + 29 * 2) / (1 + 2))


 def test_product_price_joint_transactions(sql_session: Session) -> None:
--- a/tests/queries/test_product_stock.py
+++ b/tests/queries/test_product_stock.py
@@ -1,9 +1,11 @@
 from datetime import datetime

 import pytest
+from sqlalchemy import select
 from sqlalchemy.orm import Session

 from dibbler.models import Product, Transaction, User
+from dibbler.models.TransactionType import TransactionTypeSQL
 from dibbler.queries import joint_buy_product, product_stock


@@ -16,17 +18,6 @@ def insert_test_data(sql_session: Session) -> tuple[User, Product]:
    return user, product


-def test_product_stock_uninitialized_product(sql_session: Session) -> None:
-    user = User("Test User 1")
-    sql_session.add(user)
-    sql_session.commit()
-
-    product = Product("1234567890123", "Uninitialized Product")
-
-    with pytest.raises(ValueError):
-        product_stock(sql_session, product)
-
-
 def test_product_stock_basic_history(sql_session: Session) -> None:
    user, product = insert_test_data(sql_session)

--- a/tests/queries/test_transaction_log.py
+++ b/tests/queries/test_transaction_log.py
@@ -83,76 +83,6 @@ def insert_default_test_transactions(
    return transactions


-def test_transaction_log_uninitialized_user(sql_session: Session) -> None:
-    user = User("Uninitialized User")
-
-    with pytest.raises(ValueError):
-        transaction_log(sql_session, user=user)
-
-
-def test_transaction_log_uninitialized_product(sql_session: Session) -> None:
-    product = Product("1234567890123", "Uninitialized Product")
-
-    with pytest.raises(ValueError):
-        transaction_log(sql_session, product=product)
-
-
-def test_transaction_log_after_product_and_user_not_allowed(sql_session: Session) -> None:
-    user, user2, product, product2 = insert_test_data(sql_session)
-    insert_default_test_transactions(sql_session, user, user2, product, product2)
-
-    with pytest.raises(ValueError):
-        transaction_log(
-            sql_session,
-            user=user,
-            product=product,
-            after_time=datetime(2023, 10, 1, 11, 0, 0),
-        )
-
-
-def test_transaction_log_after_datetime_and_transaction_id_not_allowed(
-    sql_session: Session,
-) -> None:
-    user, user2, product, product2 = insert_test_data(sql_session)
-    insert_default_test_transactions(sql_session, user, user2, product, product2)
-
-    with pytest.raises(ValueError):
-        transaction_log(
-            sql_session,
-            user=user,
-            after_time=datetime(2023, 10, 1, 11, 0, 0),
-            after_transaction_id=1,
-        )
-
-
-def test_user_transactions_before_product_and_user_not_allowed(sql_session: Session) -> None:
-    user, user2, product, product2 = insert_test_data(sql_session)
-    insert_default_test_transactions(sql_session, user, user2, product, product2)
-
-    with pytest.raises(ValueError):
-        transaction_log(
-            sql_session,
-            user=user,
-            product=product,
-            before_time=datetime(2023, 10, 1, 15, 0, 0),
-        )
-
-
-def test_transaction_log_before_datetime_and_transaction_id_not_allowed(
-    sql_session: Session,
-) -> None:
-    user, user2, product, product2 = insert_test_data(sql_session)
-    insert_default_test_transactions(sql_session, user, user2, product, product2)
-
-    with pytest.raises(ValueError):
-        transaction_log(
-            sql_session,
-            user=user,
-            before_time=datetime(2023, 10, 1, 15, 0, 0),
-            before_transaction_id=1,
-        )
-
-
 def test_user_transactions_no_transactions(sql_session: Session) -> None:
    insert_test_data(sql_session)

@@ -161,13 +91,6 @@ def test_user_transactions_no_transactions(sql_session: Session) -> None:
    assert len(transactions) == 0


-def test_transaction_log_basic(sql_session: Session) -> None:
-    user, user2, product, product2 = insert_test_data(sql_session)
-    insert_default_test_transactions(sql_session, user, user2, product, product2)
-
-    assert len(transaction_log(sql_session)) == 7
-
-
 def test_transaction_log_filtered_by_user(sql_session: Session) -> None:
    user, user2, product, product2 = insert_test_data(sql_session)
    insert_default_test_transactions(sql_session, user, user2, product, product2)
@@ -452,6 +375,34 @@ def test_transaction_log_before_transaction_id_after_date(sql_session: Session)
    )


+def test_transaction_log_after_product_and_user_not_allowed(sql_session: Session) -> None:
+    user, user2, product, product2 = insert_test_data(sql_session)
+    insert_default_test_transactions(sql_session, user, user2, product, product2)
+
+    with pytest.raises(ValueError):
+        transaction_log(
+            sql_session,
+            user=user,
+            product=product,
+            after_time=datetime(2023, 10, 1, 11, 0, 0),
+        )
+
+
+def test_transaction_log_after_datetime_and_transaction_id_not_allowed(
+    sql_session: Session,
+) -> None:
+    user, user2, product, product2 = insert_test_data(sql_session)
+    insert_default_test_transactions(sql_session, user, user2, product, product2)
+
+    with pytest.raises(ValueError):
+        transaction_log(
+            sql_session,
+            user=user,
+            after_time=datetime(2023, 10, 1, 11, 0, 0),
+            after_transaction_id=1,
+        )
+
+
 def test_transaction_log_limit(sql_session: Session) -> None:
    user, user2, product, product2 = insert_test_data(sql_session)
    transactions = insert_default_test_transactions(sql_session, user, user2, product, product2)
--- a/uv.lock
+++ b/uv.lock
@@ -133,89 +133,89 @@ wheels = [

 [[package]]
 name = "coverage"
-version = "7.13.0"
+version = "7.12.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/b6/45/2c665ca77ec32ad67e25c77daf1cee28ee4558f3bc571cdbaf88a00b9f23/coverage-7.13.0.tar.gz", hash = "sha256:a394aa27f2d7ff9bc04cf703817773a59ad6dfbd577032e690f961d2460ee936", size = 820905, upload-time = "2025-12-08T13:14:38.055Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/89/26/4a96807b193b011588099c3b5c89fbb05294e5b90e71018e065465f34eb6/coverage-7.12.0.tar.gz", hash = "sha256:fc11e0a4e372cb5f282f16ef90d4a585034050ccda536451901abfb19a57f40c", size = 819341, upload-time = "2025-11-18T13:34:20.766Z" }
 wheels = [
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 [[package]]
Author	SHA1	Message	Date
h7x4	4c14a2cf65	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 1m21s Details	2025-12-10 15:42:22 +09:00
h7x4	90da53c26c	fixup! .gitea/workflows: init test pipeline	2025-12-10 15:42:21 +09:00
h7x4	e9ce51b97b	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 1m23s Details	2025-12-10 15:38:32 +09:00
h7x4	a4a22e6565	fixup! WIP	2025-12-10 14:25:42 +09:00
h7x4	bb7d1a2743	fixup! .gitea/workflows: init test pipeline All checks were successful Run tests / run-tests (push) Successful in 1m14s Details	2025-12-10 13:40:29 +09:00
h7x4	e68d7effcd	fixup! .gitea/workflows: init test pipeline Some checks failed Run tests / run-tests (push) Has been cancelled Details	2025-12-10 13:40:15 +09:00
h7x4	dc668ab113	fixup! .gitea/workflows: init test pipeline All checks were successful Run tests / run-tests (push) Successful in 1m6s Details	2025-12-10 13:37:02 +09:00
h7x4	fa7ad3a258	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 1m30s Details	2025-12-10 13:32:54 +09:00
h7x4	7f4a980eef	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 1m25s Details	2025-12-10 11:39:30 +09:00
h7x4	2207001136	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 43s Details	2025-12-09 21:30:19 +09:00
h7x4	fead6257c7	fixup! WIP	2025-12-09 21:30:15 +09:00
h7x4	2a9ace4263	fixup! .gitea/workflows: init test pipeline All checks were successful Run tests / run-tests (push) Successful in 1m8s Details	2025-12-09 20:39:21 +09:00
h7x4	60fa6529ee	fixup! WIP	2025-12-09 20:39:01 +09:00
h7x4	2e66a9a4b0	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 41s Details	2025-12-09 18:53:14 +09:00
h7x4	a087d3bede	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 41s Details	2025-12-09 18:43:42 +09:00
h7x4	45bb31aba0	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 45s Details	2025-12-09 18:32:04 +09:00
h7x4	f15c748558	fixup! WIP Some checks failed Run tests / run-tests (push) Has been cancelled Details	2025-12-09 18:31:10 +09:00
h7x4	d220342d56	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 46s Details	2025-12-09 17:44:18 +09:00
h7x4	108e17edb8	fixup! WIP: docs/economy	2025-12-09 17:40:41 +09:00
h7x4	12028cee22	fixup! WIP: docs/economy All checks were successful Run tests / run-tests (push) Successful in 46s Details	2025-12-09 17:03:47 +09:00
h7x4	1515eb6dff	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 44s Details	2025-12-09 17:02:28 +09:00
h7x4	7199cbf34a	WIP: docs/economy	2025-12-09 17:02:22 +09:00
h7x4	722f0cae93	fixup! WIP	2025-12-09 15:51:54 +09:00
h7x4	16be0f0fbe	fixup! WIP	2025-12-09 15:47:14 +09:00
h7x4	cec91d923c	fixup! WIP	2025-12-09 15:30:16 +09:00
h7x4	0504cc1a1e	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 46s Details	2025-12-09 15:17:52 +09:00
h7x4	e7453d0fdd	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 1m25s Details	2025-12-09 14:43:45 +09:00
h7x4	c6ecb6fae9	fixup! WIP	2025-12-09 13:25:34 +09:00
h7x4	aaa5a6c556	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 46s Details	2025-12-09 13:00:16 +09:00
h7x4	6a83a41f28	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 46s Details	2025-12-09 12:55:24 +09:00
h7x4	aa4e8dbee5	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 41s Details	2025-12-09 12:49:38 +09:00
h7x4	f39e649b3d	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 41s Details	2025-12-09 11:56:06 +09:00
h7x4	0a2fc799dd	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 1m37s Details	2025-12-09 04:25:05 +09:00
h7x4	7d498f9bf1	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 40s Details	2025-12-08 21:55:25 +09:00
h7x4	f1b15357f9	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 41s Details	2025-12-08 21:43:27 +09:00
h7x4	de896901bb	models/Base: add comment about `__repr__` impl	2025-12-08 21:43:26 +09:00
h7x4	15d1763405	fixup! WIP	2025-12-08 21:43:23 +09:00
h7x4	683981d9dc	fixup! .gitea/workflows: init test pipeline All checks were successful Run tests / run-tests (push) Successful in 40s Details	2025-12-08 21:30:07 +09:00
h7x4	4289d63ac9	fixup! .gitea/workflows: init test pipeline All checks were successful Run tests / run-tests (push) Successful in 45s Details	2025-12-08 21:28:01 +09:00
h7x4	ce3e65357b	fixup! .gitea/workflows: init test pipeline All checks were successful Run tests / run-tests (push) Successful in 54s Details	2025-12-08 21:16:04 +09:00
h7x4	928ab2a98a	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 38s Details	2025-12-08 21:13:49 +09:00
h7x4	0b59d469dd	fixup! WIP All checks were successful Run tests / run-tests (push) Successful in 56s Details	2025-12-08 21:04:49 +09:00
h7x4	24c5a9af38	fixup! .gitea/workflows: init test pipeline All checks were successful Run tests / run-tests (push) Successful in 53s Details	2025-12-08 20:33:03 +09:00
h7x4	21ccf78401	fixup! .gitea/workflows: init test pipeline All checks were successful Run tests / run-tests (push) Successful in 1m8s Details	2025-12-08 20:29:10 +09:00
h7x4	d5b481d97a	fixup! .gitea/workflows: init test pipeline All checks were successful Run tests / run-tests (push) Successful in 35s Details	2025-12-08 20:27:32 +09:00
h7x4	cac1b5be20	fixup! .gitea/workflows: init test pipeline Some checks failed Run tests / run-tests (push) Failing after 24s Details	2025-12-08 20:24:47 +09:00
h7x4	ad1fcfe98d	fixup! .gitea/workflows: init test pipeline Some checks failed Run tests / run-tests (push) Failing after 22s Details	2025-12-08 20:20:35 +09:00
h7x4	cc7b40ab7e	fixup! .gitea/workflows: init test pipeline Some checks failed Run tests / run-tests (push) Failing after 21s Details	2025-12-08 20:19:09 +09:00
h7x4	d35ffd04cc	fixup! .gitea/workflows: init test pipeline Some checks failed Run tests / run-tests (push) Failing after 20s Details	2025-12-08 20:17:53 +09:00
h7x4	d39f1f8a92	pyproject.toml: psycopg2 -> psycopg2-binary Some checks failed Run tests / run-tests (push) Failing after 24s Details	2025-12-08 20:07:37 +09:00
h7x4	0e3bed9bf5	uv.lock: update	2025-12-08 20:07:37 +09:00
h7x4	3a1fc58a68	.gitea/workflows: init test pipeline	2025-12-08 20:07:37 +09:00
h7x4	1ec7c79378	fixup! WIP	2025-12-08 19:50:22 +09:00
h7x4	bc43d4948c	README: add overview of project structure	2025-12-08 19:45:37 +09:00
h7x4	7e5345c7fb	fixup! WIP	2025-12-08 19:45:22 +09:00
h7x4	50867db928	fixup! WIP	2025-12-08 18:26:49 +09:00
h7x4	5252cb611f	fixup! WIP	2025-12-08 18:26:49 +09:00
h7x4	5f510ee5d8	fixup! WIP	2025-12-08 18:26:48 +09:00
h7x4	f8829a6c7b	fixup! WIP	2025-12-08 18:26:48 +09:00
h7x4	885e989659	fixup! WIP	2025-12-08 18:26:48 +09:00
h7x4	5c0b2b5229	WIP	2025-12-08 18:26:48 +09:00
h7x4	9f2d8229fd	.gitignore: add pytest-cov data	2025-12-08 18:26:47 +09:00
h7x4	8807d7278a	{nix,pyproject.toml}: add pytest, pytest-cov	2025-12-08 18:26:46 +09:00