def oauth2callback():
# Specify the state when creating the flow in the callback so that it can
# verified in the authorization server response.
state = flask.session['state']
uid = flask.session['uid']
flow = google_auth_oauthlib.flow.Flow.from_client_secrets_file(
CLIENT_SECRETS_FILE, scopes=SCOPES, state=state)
flow.redirect_uri = flask.url_for('oauth2callback', _external=True)
# Use the authorization server's response to fetch the OAuth 2.0 tokens.
authorization_response = flask.request.url
flow.fetch_token(authorization_response=authorization_response)
# Store credentials in the session.
# ACTION ITEM: In a production app, you likely want to save these
# credentials in a persistent database instead.
credentials = flow.credentials
credentials_dict = credentials_to_dict(credentials)
flask.session['credentials'] = credentials_dict
logging.info(f"Current credentials are {credentials_dict}")
sql_handler.save_token(uid, credentials_dict)
response = flask.jsonify(credentials_dict)
response.status_code = 200
return response
def analyze_picture(file_name):
# Instantiates a client
client = vision.ImageAnnotatorClient()
# The name of the image file to annotate
file_name = os.path.abspath(file_name)
# Loads the image into memory
with io.open(file_name, 'rb') as image_file:
content = image_file.read()
image = types.Image(content=content)
# Performs label detection on the image file
response = client.label_detection(image=image)
labels = response.label_annotations
logging.info(
'Results of Vision AI check. Search label: {}'.format(label_to_detect))
score = 0
other_objects = ""
for label in labels:
other_objects = other_objects + label.description + "(" + str(
round(label.score, 2)) + "), "
print(label.description, round(label.score, 2))
if label.description == label_to_detect:
score = label.score
return score, other_objects
def prefix_filters_handler(modash_profile_ref, prefix_filters):
"""
The prefix filters have to be supported in SUPPORTED_FILTER_PREFIXES, and only one will be applied
:param modash_profile_ref:
:param prefix_filters:
"prefix_filters": [
{
"prefix": "languages",
"value": "Chinese",
"min": 0,
"max": 0.10
}
]
:return:
"""
for filter in prefix_filters:
cur_prefix = filter.get('prefix')
cur_value = filter.get('value')
if not cur_prefix or cur_prefix not in SUPPORTED_FILTER_PREFIXES or not cur_value:
continue
field_name = f'{cur_prefix}{FIELD_DELIMITER}{cur_value}'
logging.info(f'filtering on field: {field_name}')
cur_min = filter.get('min') or 0
cur_max = filter.get('max') or 1
if cur_max > 1:
cur_max = cur_max / 100
prefix_query = modash_profile_ref.where(field_name, u'>=',
cur_min).where(
field_name, u'<=', cur_max)
return prefix_query
return modash_profile_ref
def track():
"""
public endpoint (no auth)
Note: Shopify client side is using the following code snippet to send tracking events:
# req.send(JSON.stringify({
# lifo_tracker_id: lifo_tracker_id,
# shop: getShop(),
# location: document.location,
# navigator: navigator.userAgent,
# referrer: document.referrer,
# discount_code,
# })),
"""
data = flask.request.json
logging.info(f'Receiving /track request {data}')
if not data.get('shop'):
logging.warning(f'Invalid shop data received {data}')
elif not data.get('lifo_tracker_id'):
logging.debug(f'Skip none lifo event {data}')
else:
try:
res = sql_handler.save_track_visit(data)
if res.status_code == 200:
logging.info('Data saved to cloud SQL')
except Exception as e:
logging.error(f'Saving events error: {e}')
response = flask.jsonify({'status': 'OK'})
response.status_code = 200
return response
def orders_paid():
"""
This is the public endpoint (no auth) for shopify orders_paid webhook.
"""
data = flask.request.json
logging.info(f'Receiving orders_paid request {data}')
if data.get('topic') != 'ORDERS_PAID':
logging.warning(f'Invalid not ORDERS_PAID data received {data}')
elif not data.get('domain') or not data.get('payload'):
logging.warning(f'Invalid shop/customer data received {data}')
else:
try:
shop = data.get('domain')
order_id = data.get('payload').get('id')
customer_id = data.get('payload').get('customer').get('id')
payload = data.get('payload')
res = sql_handler.save_orders_paid(shop, order_id, customer_id,
payload)
if res.status_code == 200:
logging.info('Data saved to cloud SQL')
except Exception as e:
logging.error(f'Saving events error: {e}')
response = flask.jsonify('OK')
response.status_code = 200
return response
def init(app):
logging.info('Initializing application')
app.config['db'] = firestore.Client(project=PROJECT)
app.config['FIREBASE_PROJECT_ID'] = PROJECT
app.config['FIREBASE_AUTH_SIGN_IN_OPTIONS'] = PROVIDERS
if os.getenv('GAE_ENV', '').startswith('standard') or os.getenv(
'CLOUD_RUN', '') == "True":
app.secret_key = get_secret(PROD_FLASK_SECRET)
app.config['FIREBASE_API_KEY'] = get_secret(FIREBASE_API_KEY)
app.config['IS_DEV'] = False
app.debug = False
app.config['UPLOAD_BUCKET'] = UPLOAD_BUCKET
client = google.cloud.logging.Client()
client.setup_logging()
logging.basicConfig(level=logging.INFO)
else:
app.config['IS_DEV'] = True
app.config['FIREBASE_API_KEY'] = "dev"
if os.getenv('DEV_FLASK_SECRET'):
app.secret_key = os.getenv('DEV_FLASK_SECRET')
else:
app.secret_key = open(DEV_FLASK_SECRET, 'rb').read()
app.debug = True
app.config['UPLOAD_BUCKET'] = "dev_uploads"
logging.basicConfig(level=logging.INFO)
def archiveLog(self, job, wsdef, workstepLog ):
proj = self.projects[job.projectId]
# un-backslash filename in case of windows shenanigans
workstepLog = self.unbackslashPath( workstepLog )
# Check that we're configured to publish stuff
if not proj.bucketName:
logging.warning("archiveLog: No bucketName set in project, can't archive log.")
return False
# Make sure the file exists
if not os.path.exists(workstepLog):
logging.warning( f"archiveLog: Workstep log file {workstepLog} does not exist." )
return False
else:
logging.info(f"Archiving {workstepLog} to bucket {proj.bucketName}")
if self.storage_client is None:
self.storage_client = google.cloud.storage.Client()
logFilename = os.path.split(workstepLog)[-1]
bucket = self.storage_client.bucket(proj.bucketName)
blobName = self.unbackslashPath( os.path.join(proj.projectId, job.jobKey, "logs", logFilename) )
blob = bucket.blob(blobName)
result = blob.upload_from_filename(workstepLog, content_type="text/plain;charset=UTF-8")
logArchiveUrl = f"https://{bucket.name}.storage.googleapis.com/{blob.name}"
logging.info(f"Result of upload is {logArchiveUrl}")
def instagram_search():
"""
AM use. This is to search instagram account from Modash
"""
try:
data = flask.request.json
url = f'{MODASH_API_ENDPINT}/instagram/search'
logging.info(f'Receiving request for url {url} and body {data}')
headers = {
'Content-type': 'application/json',
'Authorization': MODASH_AUTH_HEADER
}
modash_search = requests.post(url,
data=json.dumps(data),
headers=headers)
search_res = modash_search.json()
logging.info(f'Modash search returned {search_res}')
if search_res.get('error'):
logging.error('Search returned error')
response = flask.jsonify({'Error': 'Failed to search'})
response.status_code = 400
else:
response = flask.jsonify(search_res)
response.status_code = 200
except Exception as e:
logging.error(f'Search error: {e}')
response = flask.jsonify({'Error': 'Failed to search'})
response.status_code = 400
return response
def onJobsListChanged( self, jobs, changes, read_time):
#print( "On jobslist changed: ", jobs )
logging.info( "Job list changed:")
self.updateJobsList( jobs )
# alert the main build that we might need to do some work
self.changeEvent.set()
def gen_lifo_tracker_id(account_id, contract_data):
"""
Create and save tracking url for given influencer. Currently only support Shopify platform.
:param account_id: influencer account_id
:param contract_data: the data used for signing influencer-brand contract, which includes contractual details.
"""
lifo_tracker_id = create_tracker_id(
uid=account_id,
brand_campaign_id=contract_data.get('brand_campaign_id'))
try:
domain_or_url = contract_data.get('brand_id')
shop_url = generate_shop_url(domain_or_url)
if not shop_url:
response = flask.jsonify({'Status': 'Invalid shop url'})
response.status_code = 422
return response
tracking_url = f'{shop_url}/?lftracker={lifo_tracker_id}'
commission = contract_data.get('fixed_commission')
commission_type = contract_data.get('commission_type')
commission_percentage = contract_data.get('percentage_commission')
brand_campaign_id = contract_data.get('brand_campaign_id')
res = sql_handler.save_lifo_tracker_id(account_id, lifo_tracker_id,
domain_or_url, commission,
commission_type,
commission_percentage,
brand_campaign_id, tracking_url)
if len(res) > 0:
logging.info(f'Data saved to cloud SQL: {tracking_url}')
except Exception as e:
logging.error(f'Saving events error: {e}')
response = flask.jsonify({'Status': 'Failed'})
response.status_code = 400
return response
return tracking_url
def main(request):
"""HTTP Cloud Function.
:param flask.Request request: The request object - http://flask.pocoo.org/docs/1.0/api/#flask.Request
"""
# initialise Houston client
h = Houston(plan="houston-quickstart", api_key=KEY)
stage = request.args.get('stage')
if stage == "start":
# start a new mission and get an ID for it
mission_id = h.create_mission()
else:
mission_id = request.args.get('mission_id')
# call houston to start the stage
response = h.start_stage(stage, mission_id=mission_id)
logging.info(response)
#
#
#
# run the main process - depending on the stage name
if 'upload-file' in stage:
upload_file(request.args.get('file_name'))
elif 'run-query' in stage:
run_query(request.args.get('query_name'))
elif 'build-report' in stage:
build_report(request.args.get('source_table'))
elif stage == "start":
pass
else:
raise ValueError(f"Didn't know what task to run for stage: '{stage}'")
#
#
#
# call houston to end the stage - response from houston will tell us which stages are next
response = h.end_stage(stage, mission_id)
logging.info(response)
# trigger the next stage(s)
for next_stage in response['next']:
headers = get_authorization_headers(
response['params'][next_stage]['uri'])
# don't wait for requests to resolve - this allows stages to run concurrently
fire_and_forget(response['params'][next_stage]['uri'],
headers=headers,
params=response['params'][next_stage])
return "stage finished", 200
def web_entities_detection_gcf(data, context):
"""
For each image uploaded to GCS image bucket, perform entities detection.
To deploy:
(form local)
gcloud functions deploy web_entities_detection_gcf --runtime python37 --trigger-resource influencer-272204.appspot.com --trigger-event google.storage.object.finalize
or (remotely)
gcloud functions deploy web_entities_detection_gcf --source https://source.developers.google.com/projects/influencer-272204/repos/github_rnap_influencer/moveable-aliases/first/paths/python_functions/ --runtime python37 --trigger-resource influencer-272204.appspot.com --trigger-event google.storage.object.finalize
:param data: The Cloud Functions event payload.
:param context: (google.cloud.functions.Context): Metadata of triggering event.
:return: None
"""
logging.info(f"Receiving data {data} with {context}")
if not data['contentType'].startswith('image/'):
logging.info('This is not an image')
return None
name = data['name']
bucket = data['bucket']
image_uri = f'gs://{bucket}/{name}'
try:
uid, campaign_id, file_name = uri_parser(name)
except Exception as e:
print(f'Parsing image URI {image_uri} error: {e}')
return None
res = web_entities_include_geo_results_uri(image_uri)
# note: here we use the campaign history_id to distinct videos
return (db.collection(u'campaigns').document(campaign_id).collection(
u'images').document(file_name).set(
{
u'entity_detect_res': res,
u'media_object_path': name
},
merge=True))
def update_door_status(doorMessage):
logging.info(
f"Publishing door status update {doorMessage.status.value} at {str(doorMessage.timestamp)}"
)
statusCollection.document(str(doorMessage.timestamp)).set(
doorMessage.to_json())
statusCollection.document("latest").set(doorMessage.to_json())
def hello():
"""Return a friendly HTTP greeting."""
who = request.args.get('who', 'there')
# Write a log entry
logging.info(f'who: {who}')
return f'Hello {who}!\n'
def load_info():
info_lock.acquire()
global info_list, reply_markup, last_update
if last_update and datetime.now() < last_update + timedelta(minutes=1):
info_lock.release()
return
try:
info_list_local = info_db.fetch()
keyboard = []
current_ary = []
count = 0
for info in info_list_local:
if count == 0:
count += 1
continue
current_ary.append(
InlineKeyboardButton(info[0], callback_data=info[0]))
if len(current_ary) == 2:
keyboard.append(current_ary)
current_ary = []
count += 1
if len(current_ary) > 0:
keyboard.append(current_ary)
info_list = info_list_local
reply_markup = InlineKeyboardMarkup(keyboard)
last_update = datetime.now()
logging.info("{} - Finished updating info".format(str(datetime.now())))
except:
print('Error occur while updating info.')
finally:
info_lock.release()
def happening():
logging.info('user wants to add a happening')
try:
auth.authorize(request)
except Exception:
pass
return redirect('/login')
return render_template("happening.html")
def receive():
email_json = request.get_json()
add_email_json("last-raw-json", str(email_json))
received_to = email_json['to']['value'][0]['address']
received_from = email_json['from']['value'][0]['address']
logging.info("received email from {} to {}".format(received_from, received_to))
add_email_json(received_to, str(email_json))
return Response(status=200)
def subscribe_to_garagecommand():
streaming_pull_future = subscriber.subscribe(
subscription_path, callback=garagecommand_callback)
logging.info(f"Listening for messages on {subscription_path}")
with subscriber:
try:
streaming_pull_future.result()
except TimeoutError:
streaming_pull_future.cancel()
def connectCloudStuff(agent, do_cloud_logging):
""" Connects to logging and firestore DB and returns the db connection"""
# Initialze google stuff
credKey = "GOOGLE_APPLICATION_CREDENTIALS"
if not credKey in os.environ:
print("Creds:", agent.googleCredentialFile)
os.environ[credKey] = agent.googleCredentialFile
cred = credentials.Certificate(os.environ.get(credKey))
firebase_admin.initialize_app(cred, {'projectId': agent.googleProjectId})
db = firestore.client()
# Initialize logging
if do_cloud_logging:
# logger = logging_client.logger("tkbuild-agent-" + agent.name )
logging_client = google.cloud.logging.Client()
logname = "tkbuild-agent-" + agent.name
print("Log name is :", logname)
logging_handler = google.cloud.logging.handlers.CloudLoggingHandler(
logging_client, name=logname)
google.cloud.logging.handlers.setup_logging(logging_handler)
# Also echo to stdout
rootLogger = logging.getLogger()
#rootLogger.setLevel(logging.DEBUG)
stdoutHandler = logging.StreamHandler(sys.stdout)
#stdoutHandler.setLevel(logging.DEBUG)
formatter = logging.Formatter('%(levelname)s: %(message)s')
stdoutHandler.setFormatter(formatter)
rootLogger.addHandler(stdoutHandler)
else:
print("Cloud logging is off")
# Just run with stdout logging for testing
logging.basicConfig(level=logging.INFO)
# logging.debug("log debug")
# logging.info("log info")
# logging.warning("log warn")
# logging.error("log error")
logging.info(f"Agent: {agent.name}: {agent.desc}")
testRepoProj = None
for p in agent.projects.values():
fetchRepoUrl = "(No Fetch Step Defined)"
pfetch = p.getFetchWorkstep()
if pfetch:
fetchRepoUrl = pfetch.repoUrl
logging.info(f"Project: {p.projectId} -- {fetchRepoUrl}")
return db
def publish_message(status, message):
publisher = pubsub_v1.PublisherClient()
topic_path = publisher.topic_path(PROJECT, TOPIC)
#print(f"Topic path: {topic_path}")
msg = DoorMessage(status, message)
data = str(msg.to_json())
logging.info(f"Publishing status update: {data}")
data = data.encode("utf-8")
publisher.publish(topic_path, data)
def shop_customer_info():
"""
This endpoint is called upon AM to access Shopify shop products for access_token
"""
shop = flask.request.args.get('shop')
days_range = flask.request.args.get('days_range')
try:
days_range = int(days_range)
except Exception as e:
logging.warning('Illegal days_range, revert to default value')
days_range = DEFFAULT_DATE_RANGE
res = get_shopify_access_token(shop)
if not res:
res = {'status': 'access token not found'}
response = flask.jsonify(res)
response.status_code = 404
return response
shop_access_token = res
if request.method == 'PUT':
created_at_min = datetime.datetime.now() - datetime.timedelta(
days=days_range)
url = f'https://{shop}/admin/api/{API_VERSION}/customers.json'
logging.info(f'Receiving request for url {url}')
headers = {"X-Shopify-Access-Token": shop_access_token}
params = {
'limit': MAX_SHOPIFY_RESULTS_LIMIT,
'created_at_min': created_at_min.isoformat()
}
res = requests.get(url, headers=headers, params=params)
data = res.json()
logging.info(f'Obtained shop information for shop {shop}: {data}')
customers = data.get('customers')
if customers:
for customer_json in customers:
customer_id = customer_json.get('id')
sql_handler.save_customer_info(shop, customer_id,
customer_json)
logging.info(f'Saved {len(customers)} for shop {shop}')
else:
logging.info('No customers found')
else:
logging.info(f'Getting customer location data for shop {shop}')
query_results = sql_handler.get_shop_customers_locations(shop)
data = []
for row in query_results:
cur_res = {}
cur_res['city'] = row[0]
cur_res['province'] = row[1]
cur_res['location_cnt'] = row[2]
data.append(cur_res)
response = flask.jsonify(data)
response.status_code = 200
return response
def using_extras(client):
import logging
# [START logging_extras]
my_labels = {"foo": "bar"}
my_http = {"requestUrl": "localhost"}
my_trace = "01234"
logging.info(
"hello", extra={"labels": my_labels, "http_request": my_http, "trace": my_trace}
)
def sendCaseEmail(case):
global CASE, STOP
caseinfo = case.information + '\n \n' + case.url + \
'\n Time Found: \n' + case.time
print("DECIDED")
headerCase = "Decision Made for {} Made".format(case.decision)
logging.info(headerCase)
logging.info(caseinfo)
sendEmail(headerCase, caseinfo)
if case == "Trump v. Hawaii":
STOP = True
def button(bot, update):
load_info()
query = update.callback_query
message = "發生錯誤，請再試。"
for info in info_list:
if query.data == info[0]:
message = info[1]
break
logging.info("{} - Query {}".format(str(datetime.now()), info[0]))
query.edit_message_text(text=message + " ", reply_markup=reply_markup)
def peekVersion( self, job, versionFile ):
if not os.path.exists( versionFile ):
logging.warning( f"Version file {versionFile} does not exist.")
return
with open( versionFile ) as fp:
verLine = fp.readline().strip()
if verLine:
job.version = verLine
logging.info( f"PeekVersion: Version is {job.version}" )
def like(id):
# uncomment following code to enforce authentication for liking
# try:
# logging.info('checking user has logged in')
# auth.authorize(request)
# except Exception:
# logging.info('user attempted to like a happening when not logged in')
# return redirect('/login')
logging.info('user liking a happening')
url = URL + '/happening/like/' + id
likes = requests.get(url)
return jsonify(likes.text)
def updateJobsList(self, jobs_ref ):
newJobsList = []
for jobRef in jobs_ref:
proj = self.projects[ jobRef.get('projectId') ]
job = TKBuildJob.createFromFirebaseDict( proj, jobRef.id, jobRef )
newJobsList.append( job )
# TODO; wrap log_struct with something that can log to console too
#self.logger.log_struct({ 'jobkey' : job.jobKey, 'worksteps' : job.worksteps } )
self.jobList = newJobsList
logging.info( f"Updated jobs list (length {len(self.jobList)}).")
def shopify_products():
shop = flask.request.args.get('shop')
res = get_shopify_access_token(shop)
if not res:
res = {'status': 'access token not found'}
response = flask.jsonify(res)
response.status_code = 204
return response
shop_access_token = res
#TODO: no need to get shop info every time.
shop_info = get_shopify_shop_info(shop)
if request.method == 'PUT':
url = f'https://{shop}/admin/api/{API_VERSION}/products.json'
logging.info(f'Receiving request for url {url}')
headers = {"X-Shopify-Access-Token": shop_access_token}
params = {'limit': MAX_SHOPIFY_RESULTS_LIMIT}
res = requests.get(url, headers=headers, params=params)
logging.info(
f'Obtained shop information token {shop_access_token} for shop {shop}: {res.json()}'
)
data = res.json()
products = res.json().get('products')
if products:
for product_json in products:
product_id = product_json.get('id')
sql_handler.save_product_info(shop, product_id, product_json)
logging.info(f'Saved {len(products)} for shop {shop}')
else:
logging.info('No products found')
else:
logging.info(f'Retrieving product information from shop {shop}')
tags_count = sql_handler.get_product_tags_counts(shop)
product_images = sql_handler.get_product_images(shop)
data = {}
tags_count_res = [{
'vendor': row[0],
'tags': row[1],
'count': row[2]
} for row in tags_count]
images_res = [{
'title': row[0],
'image': row[1],
'product_id': row[2]
} for row in product_images]
data['tags_count'] = tags_count_res
data['product_images'] = images_res
response = flask.jsonify(data)
response.status_code = 200
return response
def serverUpdate(self):
logging.info( f"Agent update ... {self.updCount}")
self.updCount += 1
print( f" {len(self.jobList)} avail jobs:")
# Report our status to the server
self.updateCurrentStatus( AgentStatus.IDLE )
# Check if there are any obsolete jobs, and delete them
self.cleanupObsoleteJobs()
# Check if there are any jobdirs that do not exist in the job list. If so, clean up those job dirs.
self.cleanupOldJobDirs()
# Check if there are jobs we can do
for job in self.jobList:
proj = self.projects[job.projectId]
# Ignore jobs with tags we can't match
if not self.matchTags( job.tags, self.agentInfo.tags ):
print("Skipping job with tags ", job.tags, "our tags are ", self.agentInfo.tags )
continue
# Ignore jobs marked "RUN" ... this might be running on another node (todo) but
# probably is just stale because firebase updates are not instant.
if JobStatus.RUN in job.worksteps.values():
logging.warning("Job is marked RUN?? but we're not running it.")
#sys.exit(1)
continue
# If the job has work left to do
if job.hasWorkRemaining( proj.workstepNames ):
print("job ", job, "has work left...")
self.currentJob = job
break
else:
print( "No work remains", job, job.worksteps )
# Did we find a job to run?
if self.currentJob == None:
logging.info("No matching jobs found to run.")
else:
# run the job
self.runNextJobStep( self.currentJob )
# clear the current job
self.currentJob = None
def cleanupOldJobDirs(self ):
# Make a list of the jobkeys we have for easy lookup
haveJobKeys = set()
for job in self.jobList:
haveJobKeys.add( job.jobKey )
# Look in the project workdir for any jobdirs that
# match the pattern for a jobdir
for proj in self.projects.values():
if (not os.path.exists( proj.workDir)):
print(f"Workdir for {proj.projectId} does not exist, skipping.")
continue
for dir in os.listdir( proj.workDir ):
dsplit = dir.split( "_" )
if len (dsplit) != 2:
continue
dirProj, jobKey = dsplit
if dirProj != proj.projectId:
continue
if len(jobKey) != 20:
continue
# At this point we are pretty sure this is a work dir, and
# can infer the jobkey from the workdir
if jobKey in haveJobKeys:
print ("Nope this is an active job")
continue
# Also look for other dirs listed in cleanupDirs
workDir = os.path.join( proj.workDir, dir )
cleanupDirs = [ workDir ]
workname = proj.projectId + "_" + jobKey
for extraDir in proj.cleanupDirs:
dir2 = self.replacePathVars2( extraDir, workDir, proj, None, workname )
# Make sure there are no unexpanded vars, kind of a hack but
if dir2.find("$")==-1:
cleanupDirs.append( dir2 )
for cleanDir in cleanupDirs:
if os.path.exists( cleanDir ):
logging.info( f"Cleaning up old workdir {cleanDir}" )
self.cleanupDir( cleanDir )
