def listen(self):
while True:
print("listening to messages")
try:
c = Consumer(kafka_group)
for msg in c.messages(kafka_topic):
try:
value = json.loads(msg)
value["time"] = float(value["timestamp"]) / 1.0e9
if "tags" in value:
if "seg_time" in value["tags"]:
value["time"] = value["time"] + float(
value["tags"]["seg_time"])
if "tag" in value:
if "seg_time" in value["tag"]:
value["time"] = value["time"] + float(
value["tag"]["seg_time"])
stream = value["source"].split("/")[-2]
self._send((stream, value))
except Exception as e:
print("Exception: " + str(e), flush=True)
except Exception as e:
print("Exception: " + str(e), flush=True)
time.sleep(2)
def main():
db = DataBase()
consumer = Consumer(kafka_group)
while True:
try:
print("ad transcode service: listening to messages", flush=True)
for msg in consumer.messages(kafka_topic):
print("ad transcode service: recieved message: " + str(msg),
flush=True)
ADTranscode(msg, db)
except Exception as e:
print(str(e))
print("ad transcode exception in service")
time.sleep(10)
def _read_topic(self, topic):
c = Consumer(None)
while True:
try:
for msg in c.debug(topic):
if msg:
yield self.write_message(
json.dumps({
"topic": topic,
"value": msg
}))
else:
yield gen.sleep(0.05)
except Exception as e:
yield self.write_message("Exception:" + str(e))
print(str(e))
# sleep and retry
yield gen.sleep(10)
def get_analytic_status(instanceId, pipeline):
try:
r = requests.get(video_analytic_url+pipeline+"/" +
instanceId+"/status", timeout=timeout)
if r.status_code == 200:
jsonValue = r.json()
return jsonValue.get('state'), jsonValue.get('avg_fps')
except requests.exceptions.RequestException as e:
print("VA feeder: Error in getting status " + str(e), flush=True)
return "UNKNOWN", None
if __name__ == "__main__":
c = Consumer(kafka_group)
while True:
try:
print("VA feeder: listening to messages", flush=True)
for msg in c.messages(video_analytics_topic):
print("VA feeder: recieved message: " + str(msg), flush=True)
try:
process_stream(msg)
except Exception as e:
print("VA feeder: "+str(e), flush=True)
except Exception as e:
print("VA feeder: error in main" + str(e), flush=True)
time.sleep(10)
if p:
p.close()
merge.delete_merged_segment(merged_segment)
zk.close()
def get_analytic_status(instanceId, pipeline):
try:
r = requests.get(video_analytic_url+pipeline+"/" +
instanceId+"/status", timeout=timeout)
if r.status_code == 200:
jsonValue = r.json()
return jsonValue.get('state'), jsonValue.get('avg_fps')
except requests.exceptions.RequestException as e:
print("VA feeder: Error in getting status " + str(e), flush=True)
return "UNKNOWN", None
if __name__ == "__main__":
c = Consumer(kafka_group)
while True:
try:
print("VA feeder: listening to messages", flush=True)
for msg in c.messages(kafka_topic):
print("VA feeder: recieved message: " + str(msg), flush=True)
try:
process_stream(msg)
except Exception as e:
print("VA feeder: "+str(e), flush=True)
except Exception as e:
print("VA feeder: error in main" + str(e), flush=True)
time.sleep(10)
try:
mkdir(HLS_ROOT + "/" + stream_name)
except Exception as e:
print(str(e))
if zk.process_start():
try:
cmd = GetABRCommand(
src_protocol + src_path + "/" + src_api + "/" +
stream_name, HLS_ROOT + "/" + stream_name, "hls")
r = call(cmd)
if r:
raise Exception("status code: " + str(r))
zk.process_end()
except Exception as e:
print(str(e))
zk.process_abort()
zk.close()
if __name__ == "__main__":
c = Consumer(KAFKA_GROUP)
while True:
try:
for message in c.messages(KAFKA_TOPIC):
process_stream(message)
except Exception as e:
print(str(e))
time.sleep(2)
except:
print(traceback.format_exc(), flush=True)
zk.process_abort()
if stream.endswith(".m3u8"):
try:
mkdir(hls_root+"/"+stream_name)
except:
pass
if zk.process_start():
try:
cmd = GetABRCommand(archive_root+"/"+stream_name,hls_root+"/"+stream_name,"hls")
r=call(cmd)
if r: raise Exception("status code: "+str(r))
zk.process_end()
except:
print(traceback.format_exc(), flush=True)
zk.process_abort()
zk.close()
c=Consumer(kafka_group)
while True:
try:
for message in c.messages(kafka_topic):
process_stream(message)
except:
print(traceback.format_exc(), flush=True)
time.sleep(2)
c.close()
#!/usr/bin/python3
from messaging import Consumer
from process import ADTranscode
from db import DataBase
import traceback
import time
kafka_topic = "ad_transcode_sched"
kafka_group = "ad_transcode_creator"
db = DataBase()
consumer = Consumer(kafka_group)
while True:
try:
print("ad transcode service: listening to messages", flush=True)
for msg in consumer.messages(kafka_topic):
ADTranscode(msg, db)
except Exception as e:
print(traceback.format_exc(), flush=True)
time.sleep(10)
consumer.close()
db.close()
# show transcoding statistics
def stats_fileinfo(root):
nfiles = 0
size = 0
for path, dirs, files in walk(root):
for stream1 in files:
if stream1.endswith((".mp4", ".avi", ".ts")):
nfiles = nfiles + 1
size = size + getsize(path + "/" + stream1)
return (nfiles, size)
c = Consumer(None)
info = {
"summary": {
"cpu":
round(psutil.cpu_percent(), 2),
"mem":
round(
int(psutil.virtual_memory().total - psutil.virtual_memory().free) /
float(psutil.virtual_memory().total), 2),
"active":
0,
"completed":
0,
"aborted":
0
#!/usr/bin/python3
#!/usr/bin/python3
from messaging import Consumer
from db import DataBase
import json
import time
kafka_topic = "seg_analytics_data"
kafka_group = "kafka_to_db_converter"
if __name__ == "__main__":
db=DataBase()
c=Consumer(kafka_group)
while True:
try:
print("listening to messages")
while True:
data=[]
start=time.clock()
for msg in c.messages(kafka_topic,timeout=100):
if msg:
try:
value=json.loads(msg)
value["time"]=float(value["timestamp"])/1.0e9
if "tags" in value:
if "seg_time" in value["tags"]:
value["time"]=value["time"]+float(value["tags"]["seg_time"])
if "tag" in value:
if "seg_time" in value["tag"]:
value["time"]=value["time"]+float(value["tag"]["seg_time"])
zk.process_end()
if fps > 0:
global global_total_fps, global_seg_count
global_total_fps = global_total_fps + fps
global_seg_count = global_seg_count + 1
avg_fps = global_total_fps / global_seg_count
print("VA statistics : " + "avg_fps " + str(avg_fps) + " " +
str(global_total_fps) + " " + str(global_seg_count), flush=True)
if merged_segment:
merge.delete_merged_segment(merged_segment)
zk.close()
if __name__ == "__main__":
c = Consumer("analytics")
while True:
try:
print("VA feeder: listening to messages", flush=True)
for msg in c.messages(video_analytics_topic):
print("VA feeder: recieved message: " + str(msg), flush=True)
try:
process_stream(msg)
except Exception as e:
print("VA feeder: " + str(e), flush=True)
traceback.print_exc()
except Exception as e:
print("VA feeder: error in main" + str(e), flush=True)
time.sleep(1)
c.close()
