def lambda_handler(event, context):
"""
Handler function for Lambda events
Deletes a media entry from the database
"""
# Get the mediaId
mediaId = cc.get_queryString(event, "mediaid")
try:
if not mediaId.isdigit():
raise Exception
except Exception as e:
# Return an error to the client if a mediaId is not specified correctly
msg = f"'mediaid' must be specified in the queryStringParameters header and must be an integer."
reason = {"reason": msg}
return cc.response_bad_request(json.dumps(reason))
#Create a connection to the database
conn = cc.db_connect(os.environ["dbName"], os.environ["dbUser"],
os.environ["dbHost"], os.environ["dbPass"])
# Delete the media entry
try:
with conn, conn.cursor() as cursor:
cursor.execute(sql.SQL("DELETE FROM {} WHERE mediaid = %s;").format(sql.Identifier("media")), [mediaId])
except psycopg2.Error as e:
print(f"Error: {e}")
return cc.response_bad_request(json.dumps(json.dumps("An error occured when removing the media entry.")))
return cc.response_ok(json.dumps(f'Removed the media entry for mediaid: {mediaId}.'))
def insertMedia(conn, media):
"""Inserts media data into the media table
Arguments:
conn: A connection to the database
media: A tuple containing the media data
"""
try:
with conn, conn.cursor() as cursor:
cursor.execute("""CREATE TABLE IF NOT EXISTS media
(mediaId SERIAL NOT NULL,
carId int4 NOT NULL,
name varchar(100),
type varchar(30) NOT NULL,
link varchar(250) NOT NULL,
primaryTag int4 NOT NULL,
secondaryTag int4,
PRIMARY KEY (mediaId),
FOREIGN KEY (carId) REFERENCES car (carId),
FOREIGN KEY (primaryTag) REFERENCES tag(tagId),
FOREIGN KEY (secondaryTag) REFERENCES tag (tagId));""")
cursor.execute("INSERT INTO media (carId, name, type, link, primaryTag, secondaryTag) VALUES %s", [media,])
#If all of the writes were successfuly, return a 200 response code.
return cc.response_ok("Successfully added media to database")
except psycopg2.Error as e:
print(e)
#If all of the writes were successfuly, return a 200 response code.
return cc.response_bad_request(repr(e))
def lambda_handler(event, context):
"""
Handler function for Lambda events
Returns all of the media in the database for a specified car and tag as JSON
"""
# Get the carid
carId = cc.get_queryString(event, "carid")
try:
if not carId.isdigit():
raise Exception
except Exception as e:
# Return an error to the client if a carId is not specified correctly
msg = f"'carid' must be specified in the queryStringParameters header and must be an integer."
reason = {"reason": msg}
return cc.response_bad_request(json.dumps(reason))
# Get the tagid
tagId = cc.get_queryString(event, "tagid")
try:
if not tagId.isdigit():
raise Exception
except Exception as e:
# Return an error to the client if a tagId is not specified correctly
msg = f"'tagid' must be specified in the queryStringParameters header and must be an integer."
reason = {"reason": msg}
return cc.response_bad_request(json.dumps(reason))
#Create a connection to the database
conn = cc.db_connect(os.environ["dbName"], os.environ["dbUser"],
os.environ["dbHost"], os.environ["dbPass"])
# Return the list of media
if(conn != None):
return cc.response_ok(json.dumps(get_media_by_car_tag(conn, carId, tagId)))
def insertArButtons(conn, buttons):
"""Inserts AR buttons into the ar_button table
Arguments:
conn: A connection to the database
media: A list of tuples containing the AR buttons
"""
try:
with conn, conn.cursor() as cursor:
cursor.execute("""CREATE TABLE IF NOT EXISTS ar_button
(ar_buttonId SERIAL NOT NULL,
feature varchar(100) NOT NULL,
section varchar(50) NOT NULL,
image varchar(250) NOT NULL,
PRIMARY KEY (ar_buttonId));""")
#Executes an insert SQL query to insert the AR button data
psycopg2.extras.execute_values(
cursor,
"INSERT INTO ar_button (feature, section, image) VALUES %s",
buttons)
#If all of the writes were successfuly, return a 200 response code.
return cc.response_ok("Successfully added AR buttons to database")
except psycopg2.Error as e:
print(e)
#If the writing failed return a 400 response code.
return cc.response_bad_request(repr(e))
def lambda_handler(event, context):
"""
Handler function for Lambda events
Returns all of the available AR buttons
"""
#Create a connection to the database
conn = cc.db_connect(os.environ["dbName"], os.environ["dbUser"],
os.environ["dbHost"], os.environ["dbPass"])
# Return the list of ar features and tags
if (conn != None):
return cc.response_ok(json.dumps(getArButtons(conn)))
def lambda_handler(event, context):
"""
Handler function for Lambda events
Returns all of the media in the database for a specified car as JSON
"""
# Get the carid
carId = cc.get_queryString(event, "carid")
try:
if not carId.isdigit():
raise Exception
except Exception as e:
# Return an error to the client if a carId is not specified correctly
msg = f"'carid' must be specified in the queryStringParameters header and must be an integer."
reason = {"reason": msg}
return cc.response_bad_request(json.dumps(reason))
# Get the optional tagNames
tagNames = cc.get_queryString(event, "tagnames")
#Create a connection to the database
conn = cc.db_connect(os.environ["dbName"], os.environ["dbUser"],
os.environ["dbHost"], os.environ["dbPass"])
# Return the list of media
if(conn != None):
if tagNames and tagNames == "true":
mediaJson = get_media_by_car(conn, carId)
tagJson = get_tag_by_car(conn, carId)
tagDict = {td["tagid"]:td["name"] for td in tagJson}
for md in mediaJson:
md["primarytagname"] = tagDict[md["primarytag"]]
md["secondarytagname"] = "N/A" if md["secondarytag"] == None else tagDict[md["secondarytag"]]
return cc.response_ok(json.dumps(mediaJson))
# Get the media without the tag names
return cc.response_ok(json.dumps(get_media_by_car(conn, carId)))
def lambda_handler(event, context):
"""
Handler function for Lambda events
Removes a specific car and all associated data from the database
"""
# Get the carId
carId = cc.get_queryString(event, "carid")
try:
if not carId.isdigit():
raise Exception
except Exception as e:
# Return an error to the client if a carId is not specified correctly
msg = f"'carid' must be specified in the queryStringParameters header and must be an integer."
reason = {"reason": msg}
return cc.response_bad_request(json.dumps(reason))
#Create a connection to the database
conn = cc.db_connect(os.environ["dbName"], os.environ["dbUser"],
os.environ["dbHost"], os.environ["dbPass"])
# Delete the car and all its data
try:
with conn, conn.cursor() as cursor:
# Remove all the media for the car
cursor.execute(
sql.SQL("DELETE FROM {} WHERE carid = %s;").format(
sql.Identifier("media")), [carId])
# Remove all ar_tag entries for the car
cursor.execute(
sql.SQL(
"DELETE FROM {} USING ar WHERE ar.carid = %s AND ar.arid = ar_tag.arid;"
).format(sql.Identifier("ar_tag")), [carId])
# Remove all the tags for the car
cursor.execute("DELETE FROM tag WHERE carid = %s", [carId])
# Remove all the ar tags for the car
cursor.execute("DELETE FROM ar WHERE carid = %s", [carId])
# Remove the car
cursor.execute("DELETE FROM car WHERE carid = %s", [carId])
except psycopg2.Error as e:
print(f"Error: {e}")
return cc.response_bad_request(
json.dumps(json.dumps("An error occured when removing the car.")))
return cc.response_ok(
json.dumps(f'Removed the car and all data for carid: {carId}.'))
def lambda_handler(event, context):
"""
Handler function for Lambda events
Returns all of the cars in the database as JSON
"""
# Get the platform: web or iOS
platform = cc.get_queryString(event, "platform")
if not platform in cc.valid_platforms:
# Return an error to the client if a platform is not specified correctly
msg = f"'platform' must be specified in the queryStringParameters header with a value from: {cc.valid_platforms}."
reason = {"reason": msg}
return cc.response_bad_request(json.dumps(reason))
#Create a connection to the database
conn = cc.db_connect(os.environ["dbName"], os.environ["dbUser"],
os.environ["dbHost"], os.environ["dbPass"])
# Return the list of cars
if (conn != None):
return cc.response_ok(json.dumps(get_car_all(conn, platform)))
def insertAr(conn, ar):
"""Inserts AR data into the ar table
Arguments:
conn: A connection to the database
ar: A list of tuples containing the AR data
"""
try:
with conn, conn.cursor() as cursor:
cursor.execute("""CREATE TABLE IF NOT EXISTS ar
(ar_buttonid int4 NOT NULL,
carId int4 NOT NULL,
enabled bool NOT NULL,
location varchar(50) NOT NULL,
primaryTag int4 NOT NULL,
secondaryTag int4,
PRIMARY KEY (ar_buttonid, carId));""")
#Executes an insert SQL query to insert the player data
psycopg2.extras.execute_values(cursor,
"""INSERT INTO ar
(carId, enabled, location, primaryTag, secondaryTag, ar_buttonid) VALUES %s
ON CONFLICT (carId, ar_buttonid) DO UPDATE SET
enabled = EXCLUDED.enabled,
location = EXCLUDED. location,
primaryTag = EXCLUDED.primaryTag,
secondaryTag = EXCLUDED.secondaryTag
""", ar)
#If all of the writes were successful, return a 200 response code.
return cc.response_ok("Successfully added AR to database")
except psycopg2.Error as e:
print(e)
#If the write fails, return a 400 response code.
return cc.response_bad_request(repr(e))
def lambda_handler(event, context):
#Try to retrieve the appropriate data from the body. If an error occurs, send a 400 error code as a response
try:
body = json.loads(event["body"])
make = body["make"].title()
model = body["model"].title()
year = body["year"]
icon = "https://owner.ford.com/ownerlibs/content/dam/assets/ford/vehicle/" + str(year) + "/" + str(year) + "-" + make.lower() + "-" + model.lower() + "-s.png"
except Exception as e:
print(e)
return cc.response_bad_request("Invalid body format. Please follow formatting instructions.")
if(int(year) < 2005):
return cc.response_bad_request("Cannot add vehicle prior to 2005.")
try:
#Build the url to retrieve the PDFs for this vehicle
url = "https://www.fleet.ford.com/aemservices/cache/ownermanuals?" "year="+ str(year) + "&" + "make=" + make.lower() + "&" + "model=" + model.title() + "&country=USA&language=EN-US"
page = requests.get(url)
data = json.loads(page.text)
#Parse the returned JSON to find the latest version of the owner's manual
ownerManual = ""
pattern = re.compile("Owner's Manual Printing \d")
for item in data:
if(pattern.match(item["title"])):
ownerManual = item["link"]
print(ownerManual)
except Exception as e:
print(e)
return cc.response_bad_request("Invalid vehicle make, model, or year.")
#Create a tuple containing the vehicle data
car = [make, model, year, ownerManual, icon]
#Call the writeCar function and get a response containing the carId of the row written to the DB
writeCarResponse = lambdaClient.invoke(
FunctionName= os.environ['writeCarArn'],
InvocationType='RequestResponse',
LogType='None',
Payload=json.dumps(car),
)
writeCarResponse = writeCarResponse['Payload'].read().decode('utf-8').strip('\"')
print(writeCarResponse)
#Check the writeCarResponse to see if the car was successfully written to the database
try:
#Try to convert the response to an int. If it fails, it means the database write failed.
carId = int(writeCarResponse)
#Call generateTags Lambda to generate tags from the linked owner's manual and wait for a response
payload = {"carId": carId, "manualUrl": ownerManual}
generateTagsResponse = lambdaClient.invoke(
FunctionName= os.environ['generateTagsArn'],
InvocationType='RequestResponse',
LogType='None',
Payload=json.dumps(payload),
)
generateTagsResponse = generateTagsResponse['Payload'].read().decode('utf-8').strip('\"')
print(generateTagsResponse)
except:
#Return the error message from attempting to write the car to the database
return cc.response_bad_request(writeCarResponse)
#Check the response from generating the tags
try:
list(generateTagsResponse)
#Call writeTags Lambda to write the generated tags to the database
writeTagsResponse = lambdaClient.invoke(
FunctionName= os.environ['writeTagsArn'],
InvocationType='RequestResponse',
LogType='None',
Payload=json.dumps(generateTagsResponse),
)
except:
#Return the error message from attempting to write the car to the database
return cc.response_bad_request("Unable to generate tags for the vehicle. Ensure the link to the owner's manual is the correct PDF")
#If all of the writes were successfuly, return a 200 response code.
return cc.response_ok("Successfully created new vehicle")
#TODO: Write AR features after writeMedia has been completed and AR tagging writing is next.
"""