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Opérations par lot

Cloud Talent Solution accepte les opérations par lot asynchrones, ce qui vous permet de placer plusieurs appels d'API dans une seule requête HTTP. Le type de réponse renvoyé est google.longrunning.operation. Pour récupérer l'état détaillé de l'opération par lot, appelez la méthode GetOperation à l'aide du champ name dans google.longrunning.operation.

Procéder par lots permet de réduire la latence du temps de réponse de l'API et d'augmenter le débit. Notez que la réception réussie d'une réponse aux appels d'API par lot indique uniquement que la requête par lot a été créée. Le traitement réel des données s'effectue de manière asynchrone. Les opérations par lots créées il y a plus de 30 jours ne sont plus accessibles par la méthode GetOperation.

Chaque lot est limité à 25 requêtes.

Indicateur de progression d'une opération par lot

La ressource google.longrunning.operation créée en appelant la méthode de création ou de modification par lot renvoie l'un des états suivants :

STATE_UNSPECIFIED (valeur par défaut)
INITIALISATION
TRAITEMENT
RÉUSSITE
ÉCHEC

Dans l'état INITIALISATION, les champs success_count, failure_count et total_count sont définis sur 0. Si l'opération est dans l'état TRAITEMENT, les valeurs success_count et failure_count peuvent augmenter. Dans l'état RÉUSSITE, le total success_count + failure_count est toujours égal à total_count et success_count est supérieur à 0. Dans l'état ÉCHEC, success_count est toujours 0.

Créer des offres d'emploi par lot

L'exemple de code suivant montre comment créer des offres d'emploi par lot :

Python

Pour savoir comment installer et utiliser la bibliothèque cliente pour CTS, consultez la page Bibliothèques clientes CTS. Pour en savoir plus, consultez la documentation de référence de l'API CTS Python.

Pour vous authentifier auprès de CTS, configurez les Identifiants par défaut de l'application. Pour en savoir plus, consultez Configurer l'authentification pour un environnement de développement local.


from google.cloud import talent


def batch_create_jobs(
    project_id,
    tenant_id,
    company_name_one,
    requisition_id_one,
    title_one,
    description_one,
    job_application_url_one,
    address_one,
    language_code_one,
    company_name_two,
    requisition_id_two,
    title_two,
    description_two,
    job_application_url_two,
    address_two,
    language_code_two,
):
    """
    Batch Create Jobs

    Args:
      project_id Your Google Cloud Project ID
      tenant_id Identifier of the Tenant
    """

    client = talent.JobServiceClient()

    # project_id = 'Your Google Cloud Project ID'
    # tenant_id = 'Your Tenant ID (using tenancy is optional)'
    # company_name_one = 'Company name, e.g. projects/your-project/companies/company-id'
    # requisition_id_one = 'Job requisition ID, aka Posting ID. Unique per job.'
    # title_one = 'Software Engineer'
    # description_one = 'This is a description of this <i>wonderful</i> job!'
    # job_application_url_one = 'https://www.example.org/job-posting/123'
    # address_one = '1600 Amphitheatre Parkway, Mountain View, CA 94043'
    # language_code_one = 'en-US'
    # company_name_two = 'Company name, e.g. projects/your-project/companies/company-id'
    # requisition_id_two = 'Job requisition ID, aka Posting ID. Unique per job.'
    # title_two = 'Quality Assurance'
    # description_two = 'This is a description of this <i>wonderful</i> job!'
    # job_application_url_two = 'https://www.example.org/job-posting/123'
    # address_two = '111 8th Avenue, New York, NY 10011'
    # language_code_two = 'en-US'

    if isinstance(project_id, bytes):
        project_id = project_id.decode("utf-8")
    if isinstance(tenant_id, bytes):
        tenant_id = tenant_id.decode("utf-8")
    if isinstance(company_name_one, bytes):
        company_name_one = company_name_one.decode("utf-8")
    if isinstance(requisition_id_one, bytes):
        requisition_id_one = requisition_id_one.decode("utf-8")
    if isinstance(title_one, bytes):
        title_one = title_one.decode("utf-8")
    if isinstance(description_one, bytes):
        description_one = description_one.decode("utf-8")
    if isinstance(job_application_url_one, bytes):
        job_application_url_one = job_application_url_one.decode("utf-8")
    if isinstance(address_one, bytes):
        address_one = address_one.decode("utf-8")
    if isinstance(language_code_one, bytes):
        language_code_one = language_code_one.decode("utf-8")
    if isinstance(company_name_two, bytes):
        company_name_two = company_name_two.decode("utf-8")
    if isinstance(requisition_id_two, bytes):
        requisition_id_two = requisition_id_two.decode("utf-8")
    if isinstance(title_two, bytes):
        title_two = title_two.decode("utf-8")
    if isinstance(description_two, bytes):
        description_two = description_two.decode("utf-8")
    if isinstance(job_application_url_two, bytes):
        job_application_url_two = job_application_url_two.decode("utf-8")
    if isinstance(address_two, bytes):
        address_two = address_two.decode("utf-8")
    if isinstance(language_code_two, bytes):
        language_code_two = language_code_two.decode("utf-8")
    parent = f"projects/{project_id}/tenants/{tenant_id}"
    uris = [job_application_url_one]
    application_info = {"uris": uris}
    addresses = [address_one]
    jobs_element = {
        "company": company_name_one,
        "requisition_id": requisition_id_one,
        "title": title_one,
        "description": description_one,
        "application_info": application_info,
        "addresses": addresses,
        "language_code": language_code_one,
    }
    uris_2 = [job_application_url_two]
    application_info_2 = {"uris": uris_2}
    addresses_2 = [address_two]
    jobs_element_2 = {
        "company": company_name_two,
        "requisition_id": requisition_id_two,
        "title": title_two,
        "description": description_two,
        "application_info": application_info_2,
        "addresses": addresses_2,
        "language_code": language_code_two,
    }
    jobs = [jobs_element, jobs_element_2]

    operation = client.batch_create_jobs(parent=parent, jobs=jobs)

    print("Waiting for operation to complete...")
    response = operation.result(90)

    print(f"Batch response: {response}")

Mise à jour groupée d'offres d'emploi

L'exemple de code suivant montre comment mettre à jour des offres d'emploi par lot :

Python


from google.cloud import talent


def batch_update_jobs(
    project_id,
    tenant_id,
    job_name_one,
    company_name_one,
    requisition_id_one,
    title_one,
    description_one,
    job_application_url_one,
    address_one,
    language_code_one,
    job_name_two,
    company_name_two,
    requisition_id_two,
    title_two,
    description_two,
    job_application_url_two,
    address_two,
    language_code_two,
):
    """
    Batch Update Jobs

    Args:
      project_id Your Google Cloud Project ID
      tenant_id Identifier of the Tenant
    """

    client = talent.JobServiceClient()

    # project_id = 'Your Google Cloud Project ID'
    # tenant_id = 'Your Tenant ID (using tenancy is optional)'
    # job_name_one = 'job name, projects/your-project/tenants/tenant-id/jobs/job-id'
    # company_name_one = 'Company name, e.g. projects/your-project/companies/company-id'
    # requisition_id_one = 'Job requisition ID, aka Posting ID. Unique per job.'
    # title_one = 'Software Engineer'
    # description_one = 'This is a description of this <i>wonderful</i> job!'
    # job_application_url_one = 'https://www.example.org/job-posting/123'
    # address_one = '1600 Amphitheatre Parkway, Mountain View, CA 94043'
    # language_code_one = 'en-US'
    # job_name_two = 'job name, projects/your-project/tenants/tenant-id/jobs/job-id'
    # company_name_two = 'Company name, e.g. projects/your-project/companies/company-id'
    # requisition_id_two = 'Job requisition ID, aka Posting ID. Unique per job.'
    # title_two = 'Quality Assurance'
    # description_two = 'This is a description of this <i>wonderful</i> job!'
    # job_application_url_two = 'https://www.example.org/job-posting/123'
    # address_two = '111 8th Avenue, New York, NY 10011'
    # language_code_two = 'en-US'

    if isinstance(project_id, bytes):
        project_id = project_id.decode("utf-8")
    if isinstance(tenant_id, bytes):
        tenant_id = tenant_id.decode("utf-8")
    if isinstance(job_name_one, bytes):
        job_name_one = job_name_one.decode("utf-8")
    if isinstance(company_name_one, bytes):
        company_name_one = company_name_one.decode("utf-8")
    if isinstance(requisition_id_one, bytes):
        requisition_id_one = requisition_id_one.decode("utf-8")
    if isinstance(title_one, bytes):
        title_one = title_one.decode("utf-8")
    if isinstance(description_one, bytes):
        description_one = description_one.decode("utf-8")
    if isinstance(job_application_url_one, bytes):
        job_application_url_one = job_application_url_one.decode("utf-8")
    if isinstance(address_one, bytes):
        address_one = address_one.decode("utf-8")
    if isinstance(language_code_one, bytes):
        language_code_one = language_code_one.decode("utf-8")
    if isinstance(job_name_two, bytes):
        job_name_two = job_name_two.decode("utf-8")
    if isinstance(company_name_two, bytes):
        company_name_two = company_name_two.decode("utf-8")
    if isinstance(requisition_id_two, bytes):
        requisition_id_two = requisition_id_two.decode("utf-8")
    if isinstance(title_two, bytes):
        title_two = title_two.decode("utf-8")
    if isinstance(description_two, bytes):
        description_two = description_two.decode("utf-8")
    if isinstance(job_application_url_two, bytes):
        job_application_url_two = job_application_url_two.decode("utf-8")
    if isinstance(address_two, bytes):
        address_two = address_two.decode("utf-8")
    if isinstance(language_code_two, bytes):
        language_code_two = language_code_two.decode("utf-8")
    parent = f"projects/{project_id}/tenants/{tenant_id}"
    uris = [job_application_url_one]
    application_info = {"uris": uris}
    addresses = [address_one]
    jobs_element = talent.Job(
        name=job_name_one,
        company=company_name_one,
        requisition_id=requisition_id_one,
        title=title_one,
        description=description_one,
        application_info=application_info,
        addresses=addresses,
        language_code=language_code_one,
    )

    uris_2 = [job_application_url_two]
    application_info_2 = {"uris": uris_2}
    addresses_2 = [address_two]
    jobs_element_2 = talent.Job(
        name=job_name_two,
        company=company_name_two,
        requisition_id=requisition_id_two,
        title=title_two,
        description=description_two,
        application_info=application_info_2,
        addresses=addresses_2,
        language_code=language_code_two,
    )

    jobs = [jobs_element, jobs_element_2]

    operation = client.batch_update_jobs(parent=parent, jobs=jobs)

    print("Waiting for operation to complete...")
    response = operation.result(90)

    print(f"Batch response: {response}")

Supprimer des offres d'emploi par lot

L'exemple de code suivant montre comment supprimer des offres d'emploi par lot :

Node.js


const talent = require('@google-cloud/talent').v4;

/**
 * Batch delete jobs using a filter
 *
 * @param projectId {string} Your Google Cloud Project ID
 * @param tenantId {string} Identifier of the Tenantd
 * @param filter {string} The filter string specifies the jobs to be deleted.
 * For example:
 * companyName = "projects/api-test-project/companies/123" AND equisitionId = "req-1"
 */
function sampleBatchDeleteJobs(projectId, tenantId, filter) {
  const client = new talent.JobServiceClient();
  // const projectId = 'Your Google Cloud Project ID';
  // const tenantId = 'Your Tenant ID (using tenancy is optional)';
  // const filter = '[Query]';
  const formattedParent = client.tenantPath(projectId, tenantId);
  const request = {
    parent: formattedParent,
    filter: filter,
  };
  client.batchDeleteJobs(request).catch(err => {
    console.error(err);
  });
  console.log('Batch deleted jobs from filter');
}

Opérations par lot Restez organisé à l'aide des collections Enregistrez et classez les contenus selon vos préférences.

Indicateur de progression d'une opération par lot

Créer des offres d'emploi par lot

Python

Mise à jour groupée d'offres d'emploi

Python

Supprimer des offres d'emploi par lot

Node.js

Opérations par lot