async def main(req: func.HttpRequest) -> func.HttpResponse:
# create api client
line_api = AioLineBotApi(
channel_access_token="<YOUR CHANNEL ACCESS TOKEN>")
# get events from request
parser = WebhookParser(channel_secret="<YOUR CHANNEL SECRET>")
events = parser.parse(req.get_body().decode("utf-8"),
req.headers.get("X-Line-Signature", ""))
for ev in events:
# reply echo
await line_api.reply_message(
ev.reply_token, TextMessage(text=f"You said: {ev.message.text}"))
# 200 response
return func.HttpResponse("ok")
def main(req: func.HttpRequest, context: func.Context) -> func.HttpResponse:
sess = get_inference_session()
data = req.params.get("data")
if data is not None:
try:
data = json.loads(data)
data = inference.predict(sess, np.array([data], dtype=np.float32))
data = np.argmax(data[0], axis=1)
data = data.tolist()[0]
except ValueError:
data = None
return func.HttpResponse(json.dumps(inference.format_results(sess, data),
indent=4),
status_code=200)
def main(req: azf.HttpRequest, file: bytes) -> azf.HttpResponse:
"""
Read a blob (bytes) and respond back (in HTTP response) with the number of
bytes read and the MD5 digest of the content.
"""
assert isinstance(file, bytes)
content_size = len(file)
content_md5 = hashlib.md5(file).hexdigest()
response_dict = {'content_size': content_size, 'content_md5': content_md5}
response_body = json.dumps(response_dict, indent=2)
return azf.HttpResponse(body=response_body,
mimetype="application/json",
status_code=200)
def main(req: func.HttpRequest) -> func.HttpResponse:
return func.HttpResponse(json.dumps([
{
'action': 'talk',
'text':
'Welcome to the emotion reporting hotline. Please enter 1 if you are happy, or 2 if you are sad.',
'bargeIn': True,
},
{
'action': 'input',
'eventUrl':
[f'https://{req.headers["host"]}/api/emotion_feedback'],
'maxDigits': 1,
'timeOut': 10,
},
]),
mimetype='application/json')
def main(req: func.HttpRequest):
challenge = req.get_json()
client = get_client(os.environ[env_constants.MONGO_CONNECTION_STRING])
# Get the owner id from the JSON an add "enrolledIndividuals"
owner_id = challenge["ownerId"]
# Add the enrolled individual to the JSON in the ObjectId form.
challenge["enrolledIndiviuals"] = [ObjectId(owner_id)]
# Insert the challenge
insert_one(client, mongo_constants.GAMIFYRE_DB,
mongo_constants.collections.CHALLENGE, challenge)
return func.HttpResponse(status_code=200)
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.')
random_image, image_name = fetch_image.fetch_random_image()
image_coded = image_helper.encode_image_base64(random_image)
image_id = image_helper.get_hash(image_name)
json_response = {
'id': image_id,
'encoded_image': image_coded
}
return func.HttpResponse(
json.dumps(json_response),
headers={'Access-Control-Allow-Origin': '*'},
status_code=200,
mimetype='application/json'
)
def main(req: func.HttpRequest) -> func.HttpResponse:
image_url = req.params.get('img')
top = 20
try:
top = int(req.params.get('top'))
except:
pass
logging.info('Image URL received: ' + image_url)
logging.info('with top n: ' + str(top))
results = predict_image_from_url(image_url, top)
headers = {
"Content-type": "application/json",
"Access-Control-Allow-Origin": "*"
}
return func.HttpResponse(json.dumps(results), headers=headers)
def main(req: func.HttpRequest) -> func.HttpResponse:
data = req.get_json()
user_query = data['message']
preprocessed_query = map_request.preprocess_query(user_query, format='str')
store_url = constants.Globals.SEARCH_URL.format(
preprocessed_query.replace(' ', '%20'))
response = {
"reply":
"Kanskje det er dette du leter etter?",
"buttons": [{
"button_type": "link",
"label": constants.Globals.STORE_NAME,
"value": store_url
}]
}
return func.HttpResponse(body=json.dumps(response),
mimetype="application/json")
def main(req: func.HttpRequest) -> func.HttpResponse:
file_path = ""
df = pd.read_excel('file_path')
output = df.to_csv(index=False)
STORAGEACCOUNTNAME = "*****"
STORAGEACCOUNTKEY = "*****"
blobService = BlockBlobService(account_name=STORAGEACCOUNTNAME,
account_key=STORAGEACCOUNTKEY)
blobService.create_blob_from_text('csv', 'test2.csv', output)
name = {"test": "test"}
return func.HttpResponse(
json.dumps(name),
mimetype="application/json",
)
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('HTTP trigger function processing a request')
img_gif = Image.open(BytesIO(req.get_body()))
img_byte_arr = BytesIO()
img_gif.save(img_byte_arr,
format='webp',
save_all=True,
duration=img_gif.info['duration'],
optimize=True,
quality=100)
logging.info('HTTP trigger function processed gif to webp')
return func.HttpResponse(body=img_byte_arr.getvalue(),
mimetype='image/webp',
status_code=200)
def main(req: func.HttpRequest,
documents: func.DocumentList) -> func.HttpResponse:
if not documents:
logging.warning("document not found")
return "Bad robot! :("
else:
logging.info("Found Document, Description=%s", documents[0].to_json())
resp_headers = {
"Access-Control-Allow-Origin": "*",
"Access-Control-Allow-Methods": "Get, Post, Options"
}
response = func.HttpResponse(headers=resp_headers,
body=documents[0].to_json())
return response
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.')
# Get the request body from previous step in Logic App
req_body = req.get_json()
file_name = req_body.get('fileName')
file_content = req_body['fileContent']['$content']
# Convert file content to bytes
file_data = base64.decodebytes(file_content.encode())
# Generate date time object of the run
dt = datetime.datetime.now().strftime('%Y-%m-%dT%H-%M-%S')
# Extract original PDF file name
pdf_prefix_file_name = ''.join(file_name.split('.pdf')[:1]) + '_'
# Open multi-page PDF file
with io.BytesIO(file_data) as open_pdf_file:
read_pdf = PyPDF2.PdfFileReader(open_pdf_file)
# Extract each page and write out to individual files
pdf_list = []
for i in range(read_pdf.numPages):
output = PyPDF2.PdfFileWriter()
output.addPage(read_pdf.getPage(i))
# Temporarily write PDF to disk
temp_pdf_fn = pdf_prefix_file_name + str(i + 1) + '_' + dt + str(
".pdf")
with open(temp_pdf_fn, "wb") as outputStream:
output.write(outputStream)
# Read back in the PDF to get the bytes-like version
with open(temp_pdf_fn, 'rb') as temp_pdf_file:
file_data = base64.b64encode(temp_pdf_file.read()).decode()
# Record the filename and the bytes-like data of single-page PDF
ind_pdf = {'fileName': temp_pdf_fn, 'fileContent': file_data}
pdf_list.append(ind_pdf)
# Finalize response object
respObj = {'individualPDFs': pdf_list}
return func.HttpResponse(body=json.dumps(respObj))
def main(req: func.HttpRequest) -> func.HttpResponse:
try:
driver = "{ODBC Driver 17 for SQL Server}"
server = "kumulus-paoli.database.windows.net"
database = "test_database"
user = "******"
password = "******"
conn = f"""Driver={driver};Server=tcp:{server},1433;Database={database};
Uid={user};Pwd={password};Encrypt=yes;TrustServerCertificate=no;Connection Timeout=30;"""
params = urllib.parse.quote_plus(conn)
conn_str = 'mssql+pyodbc:///?autocommit=true&odbc_connect={}'.format(
params)
engine = create_engine(conn_str, echo=False)
Model.metadata.create_all(engine)
session = Session(engine)
except:
return func.HttpResponse("Failed to connect")
name = req.params.get('name')
description = req.params.get('description')
price = req.params.get('price')
if not name:
return func.HttpResponse("No name given :(")
if session.query(Product).filter(Product.name == name).first() is None:
return func.HttpResponse("Name do not exist :(")
else:
if not description:
if not price:
return func.HttpResponse("No enough stuff :(")
else:
session.query(Product).filter(Product.name == name).update(
{"price": price}, synchronize_session=False)
else:
if not price:
session.query(Product).filter(Product.name == name).update(
{"description": description}, synchronize_session=False)
return func.HttpResponse("Product updated ):)")
else:
session.query(Product).filter(Product.name == name).update(
{"description": description}, synchronize_session=False)
session.query(Product).filter(Product.name == name).update(
{"price": price}, synchronize_session=False)
return func.HttpResponse("Product updated ):)")
return func.HttpResponse("Product updated ):)")
def main(req: func.HttpRequest) -> func.HttpResponse:
# Log to Azure function apps online
logging.info('Python HTTP trigger function processed a request.')
def create_welcome_card():
# Create card
blue_background = "https://images.unsplash.com/photo-1557683311-eac922347aa1?ixlib=rb-1.2.1&w=1000&q=80"
bot_icon = "https://i.ibb.co/dmmWb6s/Lingo-Bot-Bare.png"
card = AdaptiveCard(backgroundImage=blue_background)
card.add([
Container(), "<",
Image(url=bot_icon,
spacing="medium",
height="130px",
horizontalAlignment="center"),
TextBlock(text=f"Hey! I'm Lingo",
spacing="Large",
weight="bolder",
size="ExtraLarge",
horizontalAlignment="center",
color="light"),
TextBlock(text="Your Personal Digital Banking Assistant",
weight="bolder",
size="Large",
horizontalAlignment="center",
wrap="true",
color="light"),
TextBlock(text="I can speak more than 70 languages!",
weight="bolder",
size="Medium",
horizontalAlignment="center",
wrap="true",
color="light"),
ActionSet(spacing="Large"), "action",
ActionSubmit(
title="Help",
data={"action": "help"},
iconUrl="https://img.icons8.com/ios/50/000000/help.png")
])
return card.to_json()
result = create_welcome_card()
return func.HttpResponse(body=result, status_code=200)
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Getting the results.')
return_data = {}
votes = db.votes
Bob = 0
Eric = 0
Marry = 0
Others = 0
Total = 0
Total = votes.find().count()
Bob = votes.find({'VotedFor': 'Bob'}).count()
Eric = votes.find({'VotedFor': 'Eric'}).count()
Marry = votes.find({'VotedFor': 'Marry'}).count()
Others = Total - Bob - Eric - Marry
return_data['TotalVotes'] = Total
return_data['Bob'] = Bob
return_data['Eric'] = Eric
return_data['Marry'] = Marry
return_data['Others'] = Others
return_data = json.dumps(return_data)
teamsWebHook = os.environ['TeamsWebHook']
teamsMsg = pymsteams.connectorcard(teamsWebHook)
teamsMsg.title("Demo Voting Results !")
teamsSection = pymsteams.cardsection()
teamsSection.addFact('Timestamp:', datetime.datetime.now().strftime("%m/%d/%Y-%H:%M:%S"))
teamsSection.addFact('TotalVotes :', Total)
teamsSection.addFact('Bob :', Bob)
teamsSection.addFact('Eric :', Eric)
teamsSection.addFact('Marry :', Marry)
teamsSection.addFact('Others :', Others)
teamsMsg.addSection(teamsSection)
teamsMsg.text("Greeting !")
teamsMsg.send()
return func.HttpResponse(body=return_data ,status_code=200)
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('HTTP trigger function processed a request, calling rss2csv')
url = req.params.get('url')
if not url:
try:
req_body = req.get_json()
except ValueError:
pass
else:
url = req_body.get('url')
if url:
logmsg = f"Processing url: {url}\n"
interesting = [
'client-ip', 'x-forwarded-for', 'accept-language', 'user-agent'
]
for key, value in req.headers.items():
if key in interesting:
logmsg += f"{key}: {value}\n"
logging.info(logmsg)
rc = fetchRSSandOutputCSV(url)
if 'SLACK_WEBHOOK' in os.environ:
# if configured send update to Slack room
slackmsg = f"Feed: {url}\n"
if 'x-forwarded-for' in req.headers:
ip = req.headers['x-forwarded-for']
start = time.time()
geo = geoIP(ip)
delta = int((time.time() - start) * 1000)
logging.info(f"time-geoip: {delta} ms")
slackmsg += f"Geo: {geo}\n"
start = time.time()
stat = requests.post(os.environ['SLACK_WEBHOOK'],
json={'text': slackmsg})
delta = int((time.time() - start) * 1000)
logging.info(f"time-slack: {delta} ms")
logging.info(f"Slack post response {stat.status_code}")
return rc
else:
return func.HttpResponse(
"Please pass 'url' parameter in query request or body.\n",
status_code=400)
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.')
req_body = req.get_json()
br = mechanize.Browser()
br.set_handle_robots(False)
br.open("https://relief.jogno.net/login")
br.select_form(nr=0)
br["email"] = req_body.get('email')
br["password"] = req_body.get('password')
br.submit()
page = br.open("https://relief.jogno.net/newnotes/")
rundate = req_body.get('year') + '-' + req_body.get(
'month') + '-' + req_body.get('day')
newurl = page.geturl() + '?d=' + rundate
br.open(newurl)
br.select_form(nr=0)
try:
temp = br.form.find_control(name="Jog[distance][]")
except:
req_body = req.get_json()
br.form.new_control('text', 'Jog[distance][]', {'value': ''})
br.form.new_control('text', 'Jog[hour][]', {'value': ''})
br.form.new_control('text', 'Jog[minute][]', {'value': ''})
br.form.new_control('text', 'Jog[second][]', {'value': ''})
br.form.new_control('text', 'Jog[memo][]', {'value': ''})
br.form.fixup()
br["Jog[distance][]"] = req_body.get('distance')
br["Jog[hour][]"] = req_body.get('hour')
br["Jog[minute][]"] = req_body.get('minute')
br["Jog[second][]"] = req_body.get('second')
br["diary"] = req_body.get('diary')
br["Jog[memo][]"] = req_body.get('memo')
# br["image_file[]"] = ""
# br["condition[weight]"] = ""
# print(br.form)
br.submit()
return func.HttpResponse(
"This HTTP triggered function executed successfully.", status_code=200)
def main(req: func.HttpRequest) -> func.HttpResponse:
try:
# log the encoded message
logging.info(f"Encoded body: {req.get_body()}")
# decode hex values
message = unquote(req.get_body().decode())
# log the decoded message
logging.info(f"Decoded body: {message}")
# split the message at markdown= or text=
content_type, message = message.split('=', 1)
# split the message at the timestamp
time_stamp, message = message.split('|')
# remove extraneous white space characters from the timestamp
time_stamp = time_stamp.replace("+", " ")
# convert the message from a string to a datetime object
time_stamp = datetime.strptime(time_stamp.strip(), '%m/%d/%Y %I:%M:%S %p')
# convert from UTC to EST
time_stamp = time_stamp - timedelta(hours=4)
# assemble the final message
message = f"{content_type}={time_stamp.strftime('%m/%d/%Y %I:%M:%S %p')} | {message.strip()}"
# correct space formatting
message = message.replace(" ", "+")
# Teams does not support em dash characters in webhooks
message = message.replace("—", "--")
# Teams does not support % characters in webhooks
message = message.replace("%", "percent")
# Teams does not support ° characters in webhooks
message = message.replace("°", "degress ")
# PRTG converts '<' to '{' so revert
message = message.replace("{", "<")
# PRTG converts '>' to '}' so revert
message = message.replace("}", ">")
# log the final message
logging.info(f"Final body: {message}")
if message:
post = requests.post(
WEBEX_WEBHOOK_URL, data=message.encode('utf-8'),
headers={'Content-Type': 'application/x-www-form-urlencoded'}
)
return func.HttpResponse(post.reason, status_code=post.status_code)
except Exception as e:
# log the exception
logging.info(f"Error: {e}")
# log the final message for debugging
logging.info(f"Final body: {message}")
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.')
name = req.params.get('name')
if not name:
try:
req_body = req.get_json()
except ValueError:
pass
else:
name = req_body.get('name')
if name:
return func.HttpResponse(f"Hello {name}!")
else:
return func.HttpResponse(
print (response)
"Please pass a name on the query string or in the request body",
status_code=400
)
def main(req: func.HttpRequest, rating: func.DocumentList) -> str:
logging.info('Python HTTP trigger function processed a request.')
logging.info(req.params["ratingId"])
if not rating:
logging.warning("rating item not found")
return func.HttpResponse(f"Not foound", status_code=404)
else:
logging.info("Found rating item, Notes=%s", rating[0]['UserNotes'])
data = {
"id": rating[0]["id"],
"userId": rating[0]["userId"],
"ProductId": rating[0]["ProductId"],
"timestamp": rating[0]["timestamp"],
"locationName": rating[0]["locationName"],
"Rating": rating[0]["Rating"],
"UserNotes": rating[0]["UserNotes"],
}
return json.dumps(data)
def main(req: func.HttpRequest) -> func.HttpResponse:
num_of_rows = req.params.get('num_of_rows')
num_of_cols = req.params.get('num_of_cols')
start = time()
tmpl = PageTemplate(BIGTABLE_ZPT)
data = {}
for i in range(num_of_cols):
data[str(i)] = i
table = [data for x in range(num_of_rows)]
options = {'table': table}
data = tmpl.render(options=options)
latency = time() - start
return func.HttpResponse(str(latency))
def main(req: func.HttpRequest) -> func.HttpResponse:
id = req.route_params.get("id")
logging.info(f"Requesting crowdedness for restaurant: {id}")
total_capacity = random.randint(10, 20)
crowdedness = random.random()
current_visitors = int(total_capacity * crowdedness)
days_visitors = random.randint(4 * current_visitors, 12 * current_visitors)
return func.HttpResponse(
body=json.dumps(
{
"crowdedness": crowdedness,
"last_hour": current_visitors,
"last_day": days_visitors,
}
)
)
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.')
post = req.get_json()
logging.info(post['video'])
# get messages via url
youtube_messages = get_chat_replay('https://www.youtube.com/watch?v=xxxxxxxxxxx')
twitch_messages = get_chat_replay('https://www.twitch.tv/videos/xxxxxxxxx')
# get messages via id
youtube_messages = get_youtube_messages('xxxxxxxxxxx')
twitch_messages = get_twitch_messages('xxxxxxxxx')
return func.HttpResponse(
"This HTTP triggered function executed successfully. Pass a name in the query string or in the request body for a personalized response.",
status_code=200
)
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.')
temp_image = "/tmp/image.jpeg"
image_data = req.get_body()
f = open(temp_image, 'wb')
f.write(image_data)
print("Image Written to", temp_image)
predicted_bus_number = bus_project.check_bus_number(temp_image)
if predicted_bus_number != "-1" and predicted_bus_number != "-2":
predict_string = "Bus " + predicted_bus_number + " is Coming Now!\n"
elif predicted_bus_number == "-1":
predict_string = "No Bus Detected in Image\n"
else:
predict_string = "Could Not Read Bus Number on Bus"
return func.HttpResponse(predict_string, status_code=200)
def main(req: func.HttpRequest, doc:func.DocumentList) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.')
users_json = []
for user in doc:
user_json = {
"id": user['id'],
"name": user['name']
}
users_json.append(user_json)
return func.HttpResponse(
json.dumps(users_json),
status_code=200,
mimetype="application/json"
)
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.')
tweet_id = req.params.get('tweet_id')
logging.info(f'Tweet id: {tweet_id}.')
try:
status = api.get_status(tweet_id,
include_entities=True,
tweet_mode='extended')
(valid, resp) = filter_tweet(status)
if not valid:
return resp
response = process_image(status)
if response is None:
return func.HttpResponse(f"No image attached")
return post_tweet(response, tweet_id)
except Exception as e:
logging.error(f'btw: {e}')
raise e
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.')
# getting request params
urls = getParam("urls", req)
entity_id = getParam("entity_id", req)
org_id = getParam("org_id", req)
# creating in&out in storage
# preparing data from storage
# invokation of the queuers
for current in urls:
urllib.request.urlopen(current)
# return function result
return func.HttpResponse("done")
def main(req: func.HttpRequest) -> func.HttpResponse:
TAG = "convert_excel_to_csv.__init__.main"
LogHelper.log_info(TAG,
'Python HTTP trigger function processed a request.')
request_params = req.get_json()
convert_helper = ConvertHelper()
blob_account = os.environ["BlobStorageAccount"]
blob_key = os.environ["BlobStorageKey"]
convert_helper.connect_to_blob(blob_account, blob_key)
convert_helper.convert_excel_to_csv(request_params)
blob_name = request_params['blob_input']['blobname']
message_string = "Convert blob %s successfully" % blob_name
return_json = "{ \"message\" : \"%s\" }" % message_string
return func.HttpResponse(return_json, status_code=200)
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.')
cnx = mysql.connector.connect(user=DB_USER,
password=DB_PASSWORD,
host=DB_HOST,
port=3306,
database=DB_NAME)
cursor = cnx.cursor()
cursor.execute("SELECT nombre FROM `personas`")
results = cursor.fetchall()
resp = ""
for row in results:
resp += '\n >> ' + str(row[0])
return func.HttpResponse(f"Personas:{resp}")
def main(req: func.HttpRequest, documentsin: func.DocumentList,
documentsout: func.Out[func.Document]) -> func.HttpResponse:
body = list()
body_bag = {"messages": body}
for doc in documentsin:
d = dict()
for keep in ['user_name', 'key', 'color', 'effect', 'text']:
d[keep] = doc[keep]
body.append(d)
logger.info(body)
doc['read'] = 'T'
documentsout.set(func.Document.from_dict(doc))
body_bag = {"messages": body}
return func.HttpResponse(body=json.dumps(body_bag),
headers={"Content-type": "application/json"},
status_code=200)