* Gets the appropriate extractor for the given response data.
     * Selects an extractor based on the MIME type or falls back to the Tika extractor.
     *
     * @param responseData the response data containing the document to extract
     * @return the extractor instance for processing the document
     * @throws FessSystemException if no suitable extractor can be found
     */
    @Override

         */
        protected String name;

        /**
         * Constructs a Field from OpenSearch Terms aggregation.
         * Decodes the field name and processes all term buckets to extract
         * field values and their document counts.
         *
         * @param termFacet the OpenSearch Terms aggregation containing field facet data
         */
        public Field(final Terms termFacet) {

        int written = (buffer[0] & 0xFF) | ((buffer[1] & 0xFF) << 8);
        int expected = level & 0xFFFF;
        assertEquals(expected, written);
    }

    // Helper method to extract string from buffer
    private String extractStringFromBuffer(byte[] buffer, int offset, int maxLen) {
        int end = offset;
        while (end < offset + maxLen && buffer[end] != 0) {
            end++;
        }

    }

    /**
     * Gets the appropriate extractor for the given response data.
     * Selects an extractor based on the MIME type of the file.
     *
     * @param responseData the response data containing the file to extract
     * @return the extractor instance for processing the file
     * @throws FessSystemException if no suitable extractor factory can be found
     */
    @Override

Declare the **header parameters** that you need in a **Pydantic model**, and then declare the parameter as `Header`:

{* ../../docs_src/header_param_models/tutorial001_an_py310.py hl[9:14,18] *}

**FastAPI** will **extract** the data for **each field** from the **headers** in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can see the required headers in the docs UI at `/docs`:

                        }
                    }
                }
                throw new ExtractException("Failed to extract the content using available extractors.");
            }

            @Override
            public int getWeight() {
                return extractors[0].getWeight();
            }
        };
    }

    permissions:
      contents: read
    runs-on: ubuntu-latest
    steps:
      - name: git clone
        uses: actions/checkout@v5
      - id: setup-matrix
        run: echo "matrix=$(jq -c -f .github/workflows/extract-unit-test-split.jq .teamcity/subprojects.json)" >> $GITHUB_OUTPUT
      - name: setup java
        uses: actions/setup-java@v5
        with:
          distribution: temurin
          java-version: 17

   * typically useful for {@code return} statements. That leaves the code with two options: Either
   * add the suppression to the whole method (which turns off checking for a large section of code),
   * or extract a variable, and put the suppression on that. However, a local variable typically
   * doesn't work: Because nullness analyses typically infer the nullness of local variables,

Declare the **cookie** parameters that you need in a **Pydantic model**, and then declare the parameter as `Cookie`:

{* ../../docs_src/cookie_param_models/tutorial001_an_py310.py hl[9:12,16] *}

**FastAPI** will **extract** the data for **each field** from the **cookies** received in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can see the defined cookies in the docs UI at `/docs`:

The main limitation is that to update or delete content of a file inside a ZIP file the entire ZIP file must be replaced.

## How to enable S3 ZIP behavior ?

Ensure to set the following header `x-minio-extract` to `true` in your S3 requests.

## How to access to files inside a ZIP archive