Exemple #1
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def googleLoggerCall(logName, logData):
    '''
    Send the data that needs to be logged to the google logging service. In general the data we do want to send is in
    all cases a JSON structure (dict), however, to be sure that in case the function is (mis-)used for another type of
    integration we do check if the variable type of LogData is either a dict or string. Depending on this we will call
    the google logging client in another fashion.
    :param logName:
    :param logData:
    :return:
    '''

    # Instantiates a google logger client and define the log target to use to write the data. The name of the log is
    # defined by the user in the form of a function variable when configuring the function in Oracle Cloud.
    GoogleloggingClient = logging.Client()
    logger = GoogleloggingClient.logger(logName)

    # check for the type of var, we do expect the var to be a dict holding a JSON structure. However, in case it is a
    # string value we do need to use log_text instead of using log_struct. This will make the logic more robust and able
    # to cope with other data types than only JSON structures.
    if type(logData) is str:
        logger.log_text(logData)
    elif type(logData) is dict:
        logger.log_struct(logData)
    else:
        print("cannot determine what type of var this is")
Exemple #2
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def upload_text_photo():
    photo = request.json['file']
    filename = request.json['filename']
    selected_language = request.json['language']

    audio_language = selected_language
    selected_language = selected_language.split('-')[0]
    name, blob_public_url = upload_photo_to_storage(photo, filename)

    client = logging.Client()
    logger = client.logger('log_name')

    text = get_text(name, logger)

    translated_text = translate_text(text, selected_language)

    audio = get_audio(translated_text, audio_language)
    audio_name = audio_language + name + ".mp3"
    audio_name, audio_url = upload_mp3_to_storage(audio, audio_name)
    audio = audio_url

    info = dict()
    info["original_text"] = text
    info["translated_text"] = translated_text
    info["audio"] = audio

    return jsonify(json.dumps(info)), 200, {
        'Access-Control-Allow-Origin': '*',
        'Access-Control-Allow-Headers': 'Content-Type',
    }
Exemple #3
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def stackdriver_log(sender, payload={}):
    if settings.GOOGLE_REQUEST_LOGGING is False:
        return
    if not hasattr(settings, '_gcp_logger'):
        from google.cloud import logging
        google.auth.default()
        client = logging.Client()
        logger_name = '%s-api' % settings.APP_NAME
        log.debug("Enabled Stackdriver request logging.")
        settings._gcp_logger = client.logger(logger_name)
    if settings._gcp_logger is not None:
        settings._gcp_logger.log_struct(payload)
Exemple #4
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def stackdriver_log(sender, payload={}):
    if not hasattr(settings, '_gcp_logger'):
        try:
            from google.cloud import logging
            google.auth.default()
            client = logging.Client()
            logger_name = '%s-api' % settings.APP_NAME
            settings._gcp_logger = client.logger(logger_name)
            log.debug("Enabled Stackdriver request logging.")
        except Exception as exc:
            log.debug("Disable Stackdriver: %s", exc)
            settings._gcp_logger = None
    if settings._gcp_logger is not None:
        settings._gcp_logger.log_struct(payload)
Exemple #5
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def upload_photo():
    photo = request.json['file']
    filename = request.json['filename']
    selected_language = request.json['language']

    audio_language = selected_language
    selected_language = selected_language.split('-')[0]
    name, blob_public_url = upload_photo_to_storage(photo, filename)

    client = logging.Client()
    logger = client.logger('log_name')

    description, latitude, longitude = get_landmark(name, logger)

    # Create a Cloud Datastore client.
    datastore_client = datastore.Client()
    # The kind for the new entity.
    kind = 'Landmarks'

    # Create the Cloud Datastore key for the new entity.
    key = datastore_client.key(kind, name)

    place_id = get_place_id(description)

    formatted_address, formatted_phone_number, international_phone_number, types, website = get_details(place_id)

    wikipedia_extract = get_wikipedia_extract(description)
    wikipedia_extract = translate_text(wikipedia_extract, selected_language)

    audio = get_audio(wikipedia_extract, audio_language)
    audio_name = audio_language + description + ".mp3"
    audio_name, audio_url = upload_mp3_to_storage(audio, audio_name)
    audio = audio_url

    entity = datastore.Entity(key, exclude_from_indexes=['wikipedia_extract', "audio"])
    entity['blob_name'] = name
    entity['image_public_url'] = blob_public_url
    entity['description'] = description
    entity["latitude"] = latitude
    entity['longitude'] = longitude
    entity['formatted_address'] = formatted_address
    entity["formatted_phone_number"] = formatted_phone_number
    entity["international_phone_number"] = international_phone_number
    entity["types"] = types
    entity["website"] = website
    entity["wikipedia_extract"] = wikipedia_extract
    entity["audio"] = audio

    # Save the new entity to Datastore.
    datastore_client.put(entity)

    info = dict()
    info["description"] = entity.get("description", "Unknown")
    info["latitude"] = entity.get("latitude", "Unknown")
    info["longitude"] = entity.get("longitude", "Unknown")
    info["url"] = entity.get("image_public_url", "Unknown")
    info['formatted_address'] = entity.get("formatted_address", "Unknown")
    info["formatted_phone_number"] = entity.get("formatted_phone_number", "Unknown")
    info["international_phone_number"] = entity.get("international_phone_number", "Unknown")
    info["types"] = entity.get("types", [])
    info["website"] = entity.get("website", "Unknown")
    info["wikipedia_extract"] = entity.get("wikipedia_extract", "Unknown")
    info["audio"] = audio

    return jsonify(json.dumps(info)), 200, {
        'Access-Control-Allow-Origin': '*',
        'Access-Control-Allow-Headers': 'Content-Type',
    }
Exemple #6
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from pip._internal.cli.status_codes import SUCCESS
from _ast import If
import os
import json
import datetime
import base64
import pymysql
from google.cloud import tasks_v2
from google.protobuf import timestamp_pb2
from google.cloud import language
from google.cloud.language import enums
from google.cloud.language import types
from google.cloud import logging
import ast

log_client = logging.Client()
logger = log_client.logger("cloudfunctions.googleapis.com%2Fcloud-functions")

ALLOWED_EXTENSIONS = {'xml'}
app = Flask(__name__)

bucket_config = {}
with open("xml_bucket.config.json") as fh:
    bucket_config = json.load(fh)


@app.route('/upload', methods=['POST', 'GET'])
def upload():

    return render_template('index.html', messg=mess22)
def write_log(msg):
    logging_client = logging.Client()
    logger = logging_client.logger('time-tracker-log')
    logger.log_text(msg, severity='INFO')
Exemple #8
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from flask import Flask
import os
import sys
import glob
import string
import random
import redis
import logging
from gcloud import storage, pubsub
from google.cloud import logging

PROJECT_ID = 'transcode-159215'
TOPIC = 'projects/{}/topics/message'.format(PROJECT_ID)

logclient = logging.Client()
logger = logclient.logger("ffmpeg-pool")

app = Flask(__name__)
app.config["SECRET_KEY"] = "test"
app.debug = True


def publish(msg):
    pubsub_client = pubsub.Client(PROJECT_ID)
    topic = pubsub_client.topic("ffmpeg-pool")

    if not topic.exists():
        topic.create()

    topic.publish(msg)