Examples with Part net.codestory.http.Part used on opensource projects

Example 1 with Part

use of net.codestory.http.Part in project datashare by ICIJ.

the class BatchSearchResource method search.

/**
 * Creates a new batch search. This is a multipart form with 8 fields :
 * name, description, csvFile, published, fileTypes, paths, fuzziness, phrase_matches
 *
 * No matter the order. The name and csv file are mandatory else it will return 400 (bad request)
 * Csv file must have under 60 000 lines else it will return 413 (payload too large)
 * Queries with less than two characters are filtered
 *
 * To do so with bash you can create a text file like :
 * ```
 * --BOUNDARY
 * Content-Disposition: form-data; name="name"
 *
 * my batch search
 * --BOUNDARY
 * Content-Disposition: form-data; name="description"
 *
 * search description
 * --BOUNDARY
 * Content-Disposition: form-data; name="csvFile"; filename="search.csv"
 * Content-Type: text/csv
 *
 * Obama
 * skype
 * test
 * query three
 * --BOUNDARY--
 * Content-Disposition: form-data; name="published"
 *
 * true
 * --BOUNDARY--
 * ```
 * Then replace `\n` with `\r\n` with a sed like this:
 *
 * `sed -i 's/$/^M/g' ~/multipart.txt`
 *
 * Then make a curl request with this file :
 * ```
 * curl -i -XPOST localhost:8080/api/batch/search/prj -H 'Content-Type: multipart/form-data; boundary=BOUNDARY' --data-binary @/home/dev/multipart.txt
 * ```
 * @param projectId
 * @param context : the request body
 * @return 200 or 400 or 413
 */
@Post("/search/:project")
public Payload search(String projectId, Context context) throws Exception {
    List<Part> parts = context.parts();
    String name = fieldValue("name", parts);
    String csv = fieldValue("csvFile", parts);
    if (name == null || csv == null) {
        return badRequest();
    }
    String description = fieldValue("description", parts);
    boolean published = "true".equalsIgnoreCase(fieldValue("published", parts)) ? TRUE : FALSE;
    List<String> fileTypes = fieldValues("fileTypes", parts);
    List<String> paths = fieldValues("paths", parts);
    Optional<Part> fuzzinessPart = parts.stream().filter(p -> "fuzziness".equals(p.name())).findAny();
    int fuzziness = fuzzinessPart.isPresent() ? parseInt(fuzzinessPart.get().content()) : 0;
    Optional<Part> phraseMatchesPart = parts.stream().filter(p -> "phrase_matches".equals(p.name())).findAny();
    boolean phraseMatches = phraseMatchesPart.isPresent() ? parseBoolean(phraseMatchesPart.get().content()) : FALSE;
    LinkedHashSet<String> queries = getQueries(csv).stream().map(query -> (phraseMatches && query.contains("\"")) ? query : sanitizeDoubleQuotesInQuery(query)).collect(Collectors.toCollection(LinkedHashSet::new));
    if (queries.size() >= MAX_BATCH_SIZE)
        return new Payload(413);
    BatchSearch batchSearch = new BatchSearch(project(projectId), name, description, queries, (User) context.currentUser(), published, fileTypes, paths, fuzziness, phraseMatches);
    boolean isSaved = batchSearchRepository.save(batchSearch);
    if (isSaved)
        batchSearchQueue.put(batchSearch.uuid);
    return isSaved ? new Payload("application/json", batchSearch.uuid, 200) : badRequest();
}