concurrency:
  # On master/release, we don't want any jobs cancelled so the sha is used to name the group
  group: ${{ (github.ref == 'refs/heads/master' || github.ref == 'refs/heads/release' ) && format('contributor-pr-base-{0}', github.sha) || format('contributor-pr-{0}', github.ref) }}
  cancel-in-progress: false

env:
  # Set the DEVELOCITY_ACCESS_KEY so that a Build Scan is generated

COPY ./app /app/app
```

### Raspberry Pi et autres architectures

Si vous utilisez Docker sur un Raspberry Pi (qui a un processeur ARM) ou toute autre architecture, vous pouvez créer un `Dockerfile` à partir de zéro, basé sur une image de base Python (qui est multi-architecture) et utiliser Uvicorn seul.

Dans ce cas, votre `Dockerfile` pourrait ressembler à ceci :

```Dockerfile
FROM python:3.7

RUN pip install fastapi uvicorn

EXPOSE 80

 * License along with this library; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */
package jcifs;

/**
 * Filter based on a resource name
 *
 * @author mbechler
 *
 */
public interface ResourceNameFilter {

    /**
     * Tests whether the specified resource name should be included.
     *

import org.apache.maven.api.annotations.Experimental;

/**
 * Factory interface for creating new RequestCache instances.
 * Implementations should handle the creation and configuration of cache instances
 * based on the current Maven session and environment.
 *
 * @since 4.0.0
 * @see RequestCache
 */
@Experimental
public interface RequestCacheFactory {

    /**
     * Creates a new RequestCache instance.

import com.vanniktech.maven.publish.JavadocJar
import com.vanniktech.maven.publish.KotlinJvm

plugins {
  kotlin("jvm")
  id("org.jetbrains.dokka")
  id("com.vanniktech.maven.publish.base")
  id("binary-compatibility-validator")
}

project.applyJavaModules("okhttp3.mockwebserver")

dependencies {
  "friendsApi"(projects.okhttp)
  api(projects.mockwebserver3)
  api(libs.junit)

  testImplementation(projects.okhttpTestingSupport)

 *
 * <p>The DataIndexHelper supports:</p>
 * <ul>
 *   <li>Concurrent crawling of multiple data configurations</li>
 *   <li>Thread pool management for crawler execution</li>
 *   <li>Session-based crawling with cleanup operations</li>
 *   <li>Old document deletion after successful crawling</li>
 *   <li>Crawling execution monitoring and timing</li>
 * </ul>
 */
public class DataIndexHelper {

| Facet Fields | Configure in Fess search settings |
| Highlighting | Built-in in Fess search results |

---

### Other Search Systems

For proprietary or custom search systems:

#### API-Based Migration

**Step 1: Extract Documents**

Use your current system's API or export functionality to extract:
- Document URLs or identifiers
- Document content/text
- Metadata (title, author, date, etc.)

import static java.lang.reflect.Modifier.PRIVATE;
import static java.lang.reflect.Modifier.PROTECTED;
import static java.lang.reflect.Modifier.PUBLIC;
import static java.util.Arrays.asList;

import com.google.common.base.Optional;
import com.google.common.reflect.ClassPath;
import com.google.common.reflect.ClassPath.ClassInfo;
import com.google.common.reflect.TypeToken;
import java.lang.reflect.Method;
import junit.framework.TestCase;

 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */

package com.google.common.base;

import static com.google.common.base.Preconditions.checkNotNull;

import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import java.io.Serializable;
import java.lang.ref.WeakReference;

                "loc": ["body", "image", "url"],
                "input": "not a valid url",
                "msg": "Input should be a valid URL, relative URL without a base",
                "type": "url_parsing",
                "ctx": {"error": "relative URL without a base"},
            },
        ]
    }


def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")