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📝 Update markdown includes format (#1254)

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Sebastián Ramírez
2024-12-22 14:30:05 +00:00
committed by GitHub
parent 0c65fed61b
commit 5100200bea
39 changed files with 213 additions and 10659 deletions
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docs/advanced/decimal.md
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@@ -33,45 +33,7 @@ For the database, **SQLModel** will use <a href="https://docs.sqlalchemy.org/en/
Let's say that each hero in the database will have an amount of money. We could make that field a `Decimal` type using the `condecimal()` function:
//// tab | Python 3.10+
```Python hl_lines="11"
{!./docs_src/advanced/decimal/tutorial001_py310.py[ln:1-11]!}
# More code here later 👇
```
////
//// tab | Python 3.7+
```Python hl_lines="12"
{!./docs_src/advanced/decimal/tutorial001.py[ln:1-12]!}
# More code here later 👇
```
////
/// details | 👀 Full file preview
//// tab | Python 3.10+
```Python
{!./docs_src/advanced/decimal/tutorial001_py310.py!}
```
////
//// tab | Python 3.7+
```Python
{!./docs_src/advanced/decimal/tutorial001.py!}
```
////
///
{* ./docs_src/advanced/decimal/tutorial001_py310.py ln[1:11] hl[11] *}
Here we are saying that `money` can have at most `5` digits with `max_digits`, **this includes the integers** (to the left of the decimal dot) **and the decimals** (to the right of the decimal dot).
@@ -105,97 +67,13 @@ Make sure you adjust the number of digits and decimal places for your own needs,
When creating new models you can actually pass normal (`float`) numbers, Pydantic will automatically convert them to `Decimal` types, and **SQLModel** will store them as `Decimal` types in the database (using SQLAlchemy).
//// tab | Python 3.10+
```Python hl_lines="4-6"
# Code above omitted 👆
{!./docs_src/advanced/decimal/tutorial001_py310.py[ln:24-34]!}
# Code below omitted 👇
```
////
//// tab | Python 3.7+
```Python hl_lines="4-6"
# Code above omitted 👆
{!./docs_src/advanced/decimal/tutorial001.py[ln:25-35]!}
# Code below omitted 👇
```
////
/// details | 👀 Full file preview
//// tab | Python 3.10+
```Python
{!./docs_src/advanced/decimal/tutorial001_py310.py!}
```
////
//// tab | Python 3.7+
```Python
{!./docs_src/advanced/decimal/tutorial001.py!}
```
////
///
{* ./docs_src/advanced/decimal/tutorial001_py310.py ln[24:34] hl[25:27] *}
## Select Decimal data
Then, when working with Decimal types, you can confirm that they indeed avoid those rounding errors from floats:
//// tab | Python 3.10+
```Python hl_lines="15-16"
# Code above omitted 👆
{!./docs_src/advanced/decimal/tutorial001_py310.py[ln:37-50]!}
# Code below omitted 👇
```
////
//// tab | Python 3.7+
```Python hl_lines="15-16"
# Code above omitted 👆
{!./docs_src/advanced/decimal/tutorial001.py[ln:38-51]!}
# Code below omitted 👇
```
////
/// details | 👀 Full file preview
//// tab | Python 3.10+
```Python
{!./docs_src/advanced/decimal/tutorial001_py310.py!}
```
////
//// tab | Python 3.7+
```Python
{!./docs_src/advanced/decimal/tutorial001.py!}
```
////
///
{* ./docs_src/advanced/decimal/tutorial001_py310.py ln[37:50] hl[49:50] *}
## Review the results