Python settings.AWS_ACCESS_KEY_ID屬性代碼示例

# 需要導入模塊: from django.conf import settings [as 別名]
# 或者: from django.conf.settings import AWS_ACCESS_KEY_ID [as 別名]
def _check_environment():
    """
    Check environment and report potential problems for production instances
    """
    if settings.INSTANCE_STORAGE_TYPE == StorageContainer.S3_STORAGE and \
            not(settings.AWS_ACCESS_KEY_ID and settings.AWS_SECRET_ACCESS_KEY):
        logger.warning(
            "AWS support is currently enabled. Add AWS_ACCESS_KEY_ID and "
            "AWS_SECRET_ACCESS_KEY settings or adjust INSTANCE_STORAGE_TYPE setting."
        )
        return False
    if not MySQLServer.objects.exists() and settings.DEFAULT_INSTANCE_MYSQL_URL is None:
        logger.warning(
            "No MySQL servers configured, and default URL for external MySQL database is missing."
            "Create at least one MySQLServer, or set DEFAULT_INSTANCE_MYSQL_URL in your .env."
        )
        return False
    if not MongoDBServer.objects.exists() and settings.DEFAULT_INSTANCE_MONGO_URL is None:
        logger.warning(
            "No MongoDB servers configured, and default URL for external MongoDB database is missing."
            "Create at least one MongoDBServer, or set DEFAULT_INSTANCE_MONGO_URL in your .env."
        )
        return False
    return True 

# 需要導入模塊: from django.conf import settings [as 別名]
# 或者: from django.conf.settings import AWS_ACCESS_KEY_ID [as 別名]
def set_up_boto3():
    """
    A DRY place to make sure AWS credentials in settings override
    environment based credentials.  Boto3 will fall back to:
    http://boto3.readthedocs.io/en/latest/guide/configuration.html

    Taken from https://github.com/datadesk/django-bakery/blob/
    a2f1f74b03951450d797ec70cc9872d6c694e1e3/bakery/management/commands/__init__.py#L8
    """
    session_kwargs = {}
    if hasattr(settings, "AWS_ACCESS_KEY_ID"):
        session_kwargs["aws_access_key_id"] = settings.AWS_ACCESS_KEY_ID

    if hasattr(settings, "AWS_SECRET_ACCESS_KEY"):
        session_kwargs["aws_secret_access_key"] = settings.AWS_SECRET_ACCESS_KEY
    boto3.setup_default_session(**session_kwargs) 

# 需要導入模塊: from django.conf import settings [as 別名]
# 或者: from django.conf.settings import AWS_ACCESS_KEY_ID [as 別名]
def upload_to_s3(css_file):
    bucket_name = settings.AWS_BUCKET_NAME
    conn = S3Connection(settings.AWS_ACCESS_KEY_ID, settings.AWS_SECRET_ACCESS_KEY)

    folder = 'webpack_bundles/'
    bucket = conn.get_bucket(bucket_name=bucket_name)

    filename = css_file.split('/')[-1]
    file_obj = open(css_file, 'r')
    content = file_obj.read()

    key = folder + filename
    bucket = conn.get_bucket(bucket_name=bucket_name)
    mime = mimetypes.guess_type(filename)[0]
    k = Key(bucket)
    k.key = key  # folder + filename
    k.set_metadata("Content-Type", mime)
    k.set_contents_from_string(content)
    public_read = True
    if public_read:
        k.set_acl("public-read") 

# 需要導入模塊: from django.conf import settings [as 別名]
# 或者: from django.conf.settings import AWS_ACCESS_KEY_ID [as 別名]
def post(self, request):
        super().post(request)

        key = get_upload_path(self.project.id_label, self.form.cleaned_data["filename"])

        datafile = ProjectDataFile(
            user=self.project_member.member.user,
            file=key,
            metadata=self.form.cleaned_data["metadata"],
            direct_sharing_project=self.project,
        )

        datafile.save()
        datafile.datatypes.set(self.form.cleaned_data["datatypes"])

        s3 = S3Connection(settings.AWS_ACCESS_KEY_ID, settings.AWS_SECRET_ACCESS_KEY)

        url = s3.generate_url(
            expires_in=settings.INCOMPLETE_FILE_EXPIRATION_HOURS * 60 * 60,
            method="PUT",
            bucket=settings.AWS_STORAGE_BUCKET_NAME,
            key=key,
        )

        return Response({"id": datafile.id, "url": url}, status=status.HTTP_201_CREATED) 

# 需要導入模塊: from django.conf import settings [as 別名]
# 或者: from django.conf.settings import AWS_ACCESS_KEY_ID [as 別名]
def iam(self):
        """
        Create connection to S3 service
        """
        if self._iam_client is None:
            self._iam_client = boto3.client(
                service_name='iam',
                region_name=self.s3_region or None,
                aws_access_key_id=settings.AWS_ACCESS_KEY_ID,
                aws_secret_access_key=settings.AWS_SECRET_ACCESS_KEY
            )
        return self._iam_client 

# 需要導入模塊: from django.conf import settings [as 別名]
# 或者: from django.conf.settings import AWS_ACCESS_KEY_ID [as 別名]
def apply_os_env_from_settings(self):
        os.environ[AWS_ACCESS_KEY_ID] = settings.AWS_ACCESS_KEY_ID
        os.environ[AWS_SECRET_ACCESS_KEY] = settings.AWS_SECRET_ACCESS_KEY
        os.environ[MLFLOW_S3_ENDPOINT_URL] = settings.MLFLOW_S3_ENDPOINT_URL 

# 需要導入模塊: from django.conf import settings [as 別名]
# 或者: from django.conf.settings import AWS_ACCESS_KEY_ID [as 別名]
def check_boto_config():
    if not settings.AWS_ACCESS_KEY_ID or not settings.AWS_SECRET_ACCESS_KEY or not settings.AWS_STORAGE_BUCKET_NAME:
        raise Exception('''AWS configuration is required, check your settings for
                           AWS_ACCESS_KEY_ID AWS_SECRET_ACCESS_KEY and AWS_STORAGE_BUCKET_NAME''') 

# 需要導入模塊: from django.conf import settings [as 別名]
# 或者: from django.conf.settings import AWS_ACCESS_KEY_ID [as 別名]
def check_aws_config(app_configs, **kwargs):
    errors = []
    if not settings.AWS_ACCESS_KEY_ID or not settings.AWS_SECRET_ACCESS_KEY or not settings.AWS_STORAGE_BUCKET_NAME:
        errors.append(
            Warning(
                'Missing AWS configuration, file storage will be unavailable',
                hint='''Make sure you set AWS_ACCESS_KEY_ID,
                        AWS_SECRET_ACCESS_KEY and AWS_STORAGE_BUCKET_NAME in secrets.json''',
                obj=settings,
                id='opentaps_seas.W002',
            )
        )
    return errors 

# 需要導入模塊: from django.conf import settings [as 別名]
# 或者: from django.conf.settings import AWS_ACCESS_KEY_ID [as 別名]
def init_es(timeout=TIMEOUT):
    log.info("connecting to %s %s", settings.ELASTICSEARCH_URL, settings.ELASTICSEARCH_PORT)
    auth = AWSRequestsAuth(aws_access_key=settings.AWS_ACCESS_KEY_ID,
                           aws_secret_access_key=settings.AWS_SECRET_ACCESS_KEY,
                           aws_host=settings.ELASTICSEARCH_URL,
                           aws_region='us-west-1',
                           aws_service='es')
    auth.encode = lambda x: bytes(x.encode('utf-8'))
    es = Elasticsearch(host=settings.ELASTICSEARCH_URL,
                       port=settings.ELASTICSEARCH_PORT,
                       connection_class=RequestsHttpConnection,
                       timeout=timeout,
                       max_retries=10, retry_on_timeout=True,
                       http_auth=auth)
    return es 

# 需要導入模塊: from django.conf import settings [as 別名]
# 或者: from django.conf.settings import AWS_ACCESS_KEY_ID [as 別名]
def client(self):
        session = boto3.session.Session()
        return session.client(
            "s3",
            region_name=settings.AWS_S3_REGION_NAME,
            endpoint_url=settings.AWS_S3_ENDPOINT_URL,
            aws_access_key_id=settings.AWS_ACCESS_KEY_ID,
            aws_secret_access_key=settings.AWS_SECRET_ACCESS_KEY,
            config=Config(signature_version="s3"),
        ) 

# 需要導入模塊: from django.conf import settings [as 別名]
# 或者: from django.conf.settings import AWS_ACCESS_KEY_ID [as 別名]
def perform(args):
    try:
      sc2reader_to_esdb = SC2ReaderToEsdb()
      filename = args['hash'] + '.s2gs'
      gateway = args['gateway']
      if gateway == 'sea':
        gateway = 'sg'

      # retrieve it from battlenet
      depoturl = 'http://{0}.depot.battle.net:1119/{1}'.format(gateway, filename)
      try:
        s2gsfile = urllib2.urlopen(depoturl).read()
      except:
        logging.getLogger("jobs").info("couldnt retrieve {} s2gs hash {}. maybe its bad.".format(gateway, args['hash']))
        return None

      # save it in S3 because we are pack rats
      bucket = boto.connect_s3(settings.AWS_ACCESS_KEY_ID,
                               settings.AWS_SECRET_ACCESS_KEY)\
                               .get_bucket(settings.S2GS_BUCKET_NAME)
      k = Key(bucket)
      k.key = filename
      k.set_contents_from_string(s2gsfile)

      # parse it and write stuff to DB
      summaryDB = sc2reader_to_esdb.processSummary(StringIO(s2gsfile), args['hash'])
      
    except Exception as e:
      tb = traceback.format_exc()
      exc_type, exc_obj, exc_tb = sys.exc_info()
      fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]      
      logging.getLogger("jobs").info("parsing failed for s2gs {}. oh well. exception={}. {} {} {} {}".format(args['hash'], e, exc_type, fname, exc_tb.tb_lineno, tb))
      pass

    finally:
      # Enqueue ruby PostParse job, always!
      ResQ(server=settings.REDIS_SERVER).enqueue_from_string('ESDB::Jobs::Sc2::Summary::PostParse', 'summaries-high', {
        'hash': args['hash']
      }) 

# 需要導入模塊: from django.conf import settings [as 別名]
# 或者: from django.conf.settings import AWS_ACCESS_KEY_ID [as 別名]
def sqs_client():
    if all([settings.AWS_ACCESS_KEY_ID, settings.AWS_SECRET_ACCESS_KEY, settings.AWS_REGION]):
        return boto3.client(
            'sqs',
            aws_access_key_id=settings.AWS_ACCESS_KEY_ID,
            aws_secret_access_key=settings.AWS_SECRET_ACCESS_KEY,
            region_name=settings.AWS_REGION
        ) 

# 需要導入模塊: from django.conf import settings [as 別名]
# 或者: from django.conf.settings import AWS_ACCESS_KEY_ID [as 別名]
def create_presigned_post(conditions, fields, key):
    """Build the url and the form fields used for a presigned s3 post.

    Parameters
    ----------
    conditions : Type[List]
        A list of conditions to include in the policy.
        Each element can be either a list or a structure. For example:
        [
            {"acl": "public-read"},
            ["content-length-range", 2, 5],
            ["starts-with", "$success_action_redirect", ""]
        ]
        Conditions that are included may pertain to acl, content-length-range, Cache-Control,
        Content-Type, Content-Disposition, Content-Encoding, Expires, success_action_redirect,
        redirect, success_action_status, and/or x-amz-meta-.
        Note that if you include a condition, you must specify the a valid value in the fields
        dictionary as well.
        A value will not be added automatically to the fields dictionary based on the conditions.

    fields: Type[Dict]
        A dictionary of prefilled form fields to build on top of. Elements that may be included
        are acl, Cache-Control, Content-Type, Content-Disposition, Content-Encoding, Expires,
        success_action_redirect, redirect, success_action_status, and x-amz-meta-.
        Note that if a particular element is included in the fields dictionary it will not be
        automatically added to the conditions list. You must specify a condition for the element
        as well.

    key: string
        Key name, optionally add ${filename} to the end to attach the submitted filename.
        Note that key related conditions and fields are filled out for you and should not be
        included in the Fields or Conditions parameter.

    Returns
    -------
    Dictionary
        A dictionary with two elements: url and fields. Url is the url to post to. Fields is a
        dictionary filled with the form fields and respective values to use when submitting
        the post.

    """
    # Configure S3 client using sugnature V4
    s3_client = boto3.client(
        "s3",
        aws_access_key_id=settings.AWS_ACCESS_KEY_ID,
        aws_secret_access_key=settings.AWS_SECRET_ACCESS_KEY,
        config=Config(
            region_name=settings.AWS_S3_REGION_NAME, signature_version="s3v4",
        ),
    )

    acl = "private"
    fields.update({"acl": acl})

    return s3_client.generate_presigned_post(
        settings.AWS_SOURCE_BUCKET_NAME,
        key,
        Fields=fields,
        Conditions=[{"acl": acl}] + conditions,
        ExpiresIn=settings.AWS_UPLOAD_EXPIRATION_DELAY,
    ) 

# 需要導入模塊: from django.conf import settings [as 別名]
# 或者: from django.conf.settings import AWS_ACCESS_KEY_ID [as 別名]
def render_paper(
    source, output_path, webhook_url=None, output_bucket=None, extra_run_kwargs=None
):
    """
    Render a source directory using Engrafo.
    """
    client = create_client()

    renders_running = client.info()["ContainersRunning"]
    if renders_running >= settings.PAPERS_MAX_RENDERS_RUNNING:
        raise TooManyRendersRunningError(
            f"{renders_running} renders running, which is more than PAPERS_MAX_RENDERS_RUNNING"
        )

    labels = {}
    environment = {
        "BIBLIO_GLUTTON_URL": settings.BIBLIO_GLUTTON_URL,
        "GROBID_URL": settings.GROBID_URL,
        "SENTRY_DSN": settings.ENGRAFO_SENTRY_DSN,
    }
    volumes = {}
    network = None

    # Production
    if settings.MEDIA_USE_S3:
        if output_bucket is None:
            output_bucket = settings.AWS_STORAGE_BUCKET_NAME
        source = f"s3://{settings.AWS_STORAGE_BUCKET_NAME}/{source}"
        output_path = f"s3://{output_bucket}/{output_path}"
        environment["AWS_ACCESS_KEY_ID"] = settings.AWS_ACCESS_KEY_ID
        environment["AWS_SECRET_ACCESS_KEY"] = settings.AWS_SECRET_ACCESS_KEY
        environment["AWS_S3_REGION_NAME"] = settings.AWS_S3_REGION_NAME
    # Development
    else:
        # HACK(bfirsh): MEDIA_ROOT is an absolute path to something on
        # the host machine. We need to make this relative to a mount inside the
        # Docker container.
        docker_media_root = os.path.join("/mnt", os.path.basename(settings.MEDIA_ROOT))
        source = os.path.join(docker_media_root, source)
        output_path = os.path.join(docker_media_root, output_path)
        # HOST_PWD is set in docker-compose.yml
        volumes[os.environ["HOST_PWD"]] = {"bind": "/mnt", "mode": "rw"}

    # If running on the local machine, we need to add the container to the same network
    # as the web app so it can call the callback
    if os.environ.get("DOCKER_HOST") == "unix:///var/run/docker.sock":
        network = "arxiv-vanity_default"

    if extra_run_kwargs is None:
        extra_run_kwargs = {}
    return client.containers.run(
        settings.ENGRAFO_IMAGE,
        "sh -c "
        + shlex.quote("; ".join(make_command(source, output_path, webhook_url))),
        volumes=volumes,
        environment=environment,
        labels=labels,
        network=network,
        detach=True,
        **extra_run_kwargs,
    ) 

# 需要導入模塊: from django.conf import settings [as 別名]
# 或者: from django.conf.settings import AWS_ACCESS_KEY_ID [as 別名]
def getOrCreateMap(self, replay):
      mapDB, created = Map.objects.get_or_create(
          s2ma_hash=replay.map_hash)

      bucket = boto.connect_s3(settings.AWS_ACCESS_KEY_ID,
                               settings.AWS_SECRET_ACCESS_KEY)\
                               .lookup(settings.MINIMAP_BUCKET_NAME)

      if not created:
          k = Key(bucket)
          k.key = "%s_%i.png" % (mapDB.s2ma_hash, 100)
          if not k.exists():
              replay.load_map()
              self.writeMinimapToS3(replay.map, bucket, mapDB.s2ma_hash)
      else:
          replay.load_map()
          self.writeMinimapToS3(replay.map, bucket, replay.map_hash)

          # ggpyjobs#15 - Use the s2ma map name if available in english
          map_name = replay.map.name or replay.map_name
          mapDB.name=map_name
          mapDB.gateway=replay.region
          mapDB.save()

      if mapDB.transX is None:
          replay.load_map()

          mapOffsetX, mapOffsetY = replay.map.map_info.camera_left, replay.map.map_info.camera_bottom

          camerarangeX = replay.map.map_info.camera_right - replay.map.map_info.camera_left
          camerarangeY = replay.map.map_info.camera_top - replay.map.map_info.camera_bottom
          camerarange = (camerarangeX,camerarangeY)

          # this is the center of the map, in the SC2 coordinate system
          mapCenter = [mapOffsetX + camerarange[0]/2.0, mapOffsetY + camerarange[1]/2.0]

          # this is the center of the map image, in pixel coordinates
          imageCenter = [50.0 * camerarange[0] / camerarange[1], 50.0]

          # this is the scaling factor to go from the SC2 coordinate
          # system to pixel coordinates
          mapDB.image_scale = 100.0 / camerarange[1]

          # these are the X and Y translations to apply to an SC2
          # camera center coordinate to turn it into the upper-left
          # corner of the camera rectangle in a pixel-based coordinate
          # system in a <canvas> tag, where the upper-left is 0,0.
          mapDB.transX = imageCenter[0] - mapDB.image_scale * (mapCenter[0] + 12.5)
          mapDB.transY = imageCenter[1] + mapDB.image_scale * (mapCenter[1] - 7.5)

          mapDB.save()

      return mapDB

  # return the Match object and a boolean indicating whether or not it was created