# JSON Compatible Encoder { #json-compatible-encoder }

There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a `dict`, `list`, etc).

For example, if you need to store it in a database.

For that, **FastAPI** provides a `jsonable_encoder()` function.

## Using the `jsonable_encoder` { #using-the-jsonable-encoder }

# Update tag on minio2/newbucket when minio1 is down
./mc tag set minio2/newbucket "key=val2"
# create a new bucket on minio2. This should replicate to minio1 after it comes online.
./mc mb minio2/newbucket2
# delete bucket2 on minio2. This should replicate to minio1 after it comes online.
./mc rb minio2/bucket2

# Restart minio1 instance
minio server --address ":9001" --console-address ":10000" /tmp/minio1/{1...4} >/tmp/minio1_1.log 2>&1 &

                                                                key="labels.storage_folder_name"/></label>
                                                        <div class="form-inline col-sm-9">
                                                           <input id="name" type="text" name="name" class="form-control"/>
                                                        </div>

	QueueStats       ReplicationQueueStats  `json:"queueStats"` // replication queue stats
	ProxyStats       ProxyMetric            `json:"proxyStats"`
}

// BucketReplicationStats represents inline replication statistics
// such as pending, failed and completed bytes in total for a bucket
type BucketReplicationStats struct {
	Stats map[string]*BucketReplicationStat `json:",omitempty"`
	// Completed size in bytes

                                            key="labels.key_match_size"/></label>
                                    <div class="form-inline col-sm-9">
                                        <la:errors property="maxSize"/>
                                        <input type="number" name="maxSize" id="maxSize"

    * If you didn't use FastAPI and used Starlette directly (or another tool, like Sanic, Flask, Responder, etc) you would have to implement all the data validation and serialization yourself....

# limitations under the License.
# ==============================================================================


"""Converts MSYS Linux-like paths stored in env variables to Windows paths.

This is necessary on Windows, because some applications do not understand/handle
Linux-like paths MSYS uses, for example, Docker.
"""

import argparse
import os


def should_convert(var_name: str,

{* ../../docs_src/custom_response/tutorial007.py hl[2,14] *}

#### Using `StreamingResponse` with file-like objects { #using-streamingresponse-with-file-like-objects }

If you have a file-like object (e.g. the object returned by `open()`), you can create a generator function to iterate over that file-like object.

But that file doesn't exist, our dependencies are in a file at `app/dependencies.py`.

Remember how our app/file structure looks like:

<img src="/img/tutorial/bigger-applications/package.drawio.svg">

---

The two dots `..`, like in:

```Python
from ..dependencies import get_token_header
```

mean:

 * sets of related domain names. The following forms are permitted:
 *
 *  * **Full domain name**: you may pin an exact domain name like `www.publicobject.com`. It won't
 *    match additional prefixes (`us-west.www.publicobject.com`) or suffixes (`publicobject.com`).
 *
 *  * **Any number of subdomains**: Use two asterisks to like `**.publicobject.com` to match any
 *    number of prefixes (`us-west.www.publicobject.com`, `www.publicobject.com`) including no