labels.searchlog_log_type_search_count_hour=Nombre de recherches/heure
labels.searchlog_log_type_search_count_day=Nombre de recherches/jour
labels.searchlog_log_type_search_user_hour=Nombre d'utilisateurs/heure
labels.searchlog_log_type_search_user_day=Nombre d'utilisateurs/jour
labels.searchlog_log_type_search_reqtimeavg_hour=Temps de requête moyen/heure
labels.searchlog_log_type_search_reqtimeavg_day=Temps de requête moyen/jour

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[40:45] hl[40:45] *}

Here we use the `SessionDep` dependency (a `Session`) to add the new `Hero` to the `Session` instance, commit the changes to the database, refresh the data in the `hero`, and then return it.

### Read Heroes { #read-heroes }

* "Add configuration...".
* Select "Python"
* Run the debugger with the option "`Python: Current File (Integrated Terminal)`".

It will then start the server with your **FastAPI** code, stop at your breakpoints, etc.

Here's how it might look:

<img src="/img/tutorial/debugging/image01.png">

---

If you use Pycharm, you can:

* Open the "Run" menu.
* Select the option "Debug...".
* Then a context menu shows up.

## Order the parameters as you need, tricks { #order-the-parameters-as-you-need-tricks }

/// tip

This is probably not as important or necessary if you use `Annotated`.

///

Here's a **small trick** that can be handy, but you won't need it often.

If you want to:

* declare the `q` query parameter without a `Query` nor any default value
* declare the path parameter `item_id` using `Path`

    * Standard Python `Decimal`.
    * In requests and responses, handled the same as a `float`.
* You can check all the valid Pydantic data types here: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic data types</a>.

## Example { #example }

Here's an example *path operation* with parameters using some of the above types.

{* ../../docs_src/extra_data_types/tutorial001_an_py310.py hl[1,3,12:16] *}

Depending on your use case, you might prefer to use a different library, but if you asked me, I would probably suggest you try **Strawberry**.

Here's a small preview of how you could integrate Strawberry with FastAPI:

{* ../../docs_src/graphql/tutorial001.py hl[3,22,25] *}

    }

    private File getFile(String pathPattern, String basedirSysProp, String altLocationSysProp) {
        // -------------------------------------------------------------------------------------
        // Alright, here's the justification for all the regexp wizardry below...
        //
        // Continuum and other server-like apps may need to locate the user-level and

    "@local_config_tensorrt//:tensorrt)" --keep_going > $BATS_TEST_TMPDIR/out

  cat <<EOF
There was a path found connecting //tensorflow/tools/pip_package:wheel
to a banned CUDA dependency. Here's the output from bazel query:
EOF
  cat $BATS_TEST_TMPDIR/out
  [[ ! -s $BATS_TEST_TMPDIR/out ]]
}

@test "Pip package doesn't depend on CUDA for static builds (i.e. Windows)" {
  bazel cquery \

"diesem", "diesen", "dieser", "dieses", "doch", "dort", "durch", "ein", "eine", "einem", "einen", "einer", "eines", "einig", "einige", "einigem", "einigen", "einiger", "einiges", "einmal", "er", "ihn", "ihm", "es", "etwas", "euer", "eure", "eurem", "euren", "eurer", "eures", "für", "gegen", "gewesen", "hab", "habe", "haben", "hat", "hatte", "hatten", "hier", "hin", "hinter", "ich", "mich", "mir", "ihr", "ihre", "ihrem", "ihren", "ihrer", "ihres", "euch", "im", "in", "indem", "ins", "ist", "jede", "jedem",...

## Code size { #code-size }

This example might seem verbose. Keep in mind that we are mixing security, data models, utility functions and *path operations* in the same file.

But here's the key point.

The security and dependency injection stuff is written once.

And you can make it as complex as you want. And still, have it written only once, in a single place. With all the flexibility.