Error about parse time format

[lurenlym]

• Hardware Platform (Jetson / GPU) Jetson Nx
• DeepStream Version 6.1
• JetPack Version (valid for Jetson only) 34.1.1
• TensorRT Version 8.4.0.1
• NVIDIA GPU Driver Version (valid for GPU only) 11.4
• Issue Type( questions, new requirements, bugs) questions
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)

I’m using the smart video record feature to drive through the cloud. I use a python script like kafka broken to send requests. Found an error while parsing the timestamp in the following picture.
strptime function can not parse the string 2022-09-08T09:11:10.051Z into tm_log correctly which mktime function return -1.

I have try get current UTC time firtly, so I only add ‘nvds_get_current_utc_time’ function in front of ‘nvds_c2d_str_to_second’ as follow. And the work is fine, The ‘nvds_get_current_utc_time’ return correct time t1 , so that I can get the correct curUtc and startUtc. The video record can be driven correctly.

[fanzh]

/**

• This function assumes the UTC time and string in the following format.
• “2020-05-18T20:02:00.051Z” - Milliseconds are optional.
  */
  static time_tnvds_c2d_str_to_second (const gchar *str)
  not clear about your question, As the comments shown, time_tnvds_c2d_str_to_second can accept “2022-09-08T09:11:10.051Z”, do you mean time_tnvds_c2d_str_to_second will return -1?

[lurenlym]

Yes, the function nvds_c2d_str_to_second return -1.

[fanzh]

after gdb debugging , can’t reproduce this issue, and strptime is system function, it should be ok.

[lurenlym]

my python shell to send record request as followed:

from kafka import KafkaProducer
from kafka.errors import kafka_errors
import json
import datetime
import time

producer =KafkaProducer(bootstrap_servers='*********')
topic = "nx"
count=1
while count<3:
    d1 = datetime.datetime.utcnow()
    d2 = datetime.datetime.utcnow()-datetime.timedelta(seconds=10*count)
    d1string = d1.isoformat("T")[:-3] +"Z"
    d2string = d2.isoformat("T")[:-3] +"Z"
    
    d = {"command": "start-recording","start": d2string,"end":d1string,"sensor": {"id": str(count)}}
    print(d)
    data = json.dumps(d)
    future = producer.send(topic,key='count_num'.encode('utf-8'),value=data.encode('utf-8'),partition=0)
    try:
        future.get(timeout=10)    
    except kafka_errors:  
        traceback.format_exc()
    count +=1
    time.sleep(10)

And we receive the errors like:

Our deepstream-test5-app config is

[application]
enable-perf-measurement=1
perf-measurement-interval-sec=5
#gie-kitti-output-dir=streamscl

[tiled-display]
enable=0
rows=2
columns=2
width=1280
height=720
gpu-id=0
#(0): nvbuf-mem-default - Default memory allocated, specific to particular platform
#(1): nvbuf-mem-cuda-pinned - Allocate Pinned/Host cuda memory, applicable for Tesla
#(2): nvbuf-mem-cuda-device - Allocate Device cuda memory, applicable for Tesla
#(3): nvbuf-mem-cuda-unified - Allocate Unified cuda memory, applicable for Tesla
#(4): nvbuf-mem-surface-array - Allocate Surface Array memory, applicable for Jetson
nvbuf-memory-type=0


[source0]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=4
uri=rtsp://****
num-sources=1
gpu-id=0
nvbuf-memory-type=0
drop-frame-interval=0
smart-record=1
# 0 = mp4, 1 = mkv
smart-rec-container=0
smart-rec-file-prefix=a
smart-rec-dir-path=../../../../../sources/apps/sample_apps/deepstream-test-sutpc/configs
# smart record cache size in seconds
smart-rec-cache=30
smart-rec-duration=10

[source1]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=4
uri=rtsp://****
num-sources=1
gpu-id=0
nvbuf-memory-type=0
drop-frame-interval=0
smart-record=1
# 0 = mp4, 1 = mkv
smart-rec-container=0
smart-rec-file-prefix=a
smart-rec-dir-path=../../../../../sources/apps/sample_apps/deepstream-test-sutpc/configs
# smart record cache size in seconds
smart-rec-cache=30
smart-rec-duration=10

[source2]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=4
uri=rtsp://****
num-sources=1
gpu-id=0
nvbuf-memory-type=0
drop-frame-interval=0
smart-record=1
# 0 = mp4, 1 = mkv
smart-rec-container=0
smart-rec-file-prefix=a
smart-rec-dir-path=../../../../../apps/sample_apps/deepstream-test-sutpc/configs
# smart record cache size in seconds
smart-rec-cache=30
smart-rec-duration=10

[source3]
enable=1
#Type - 1=CameraV4L2 2=URI 3=MultiURI
type=4
uri=rtsp://****
num-sources=1
gpu-id=0
nvbuf-memory-type=0
drop-frame-interval=0
smart-record=1
# 0 = mp4, 1 = mkv
smart-rec-container=0
smart-rec-file-prefix=a
smart-rec-dir-path=../../../../../sources/apps/sample_apps/deepstream-test-sutpc/configs
# smart record cache size in seconds
smart-rec-cache=30
smart-rec-duration=10


[sink0]
enable=0
#Type - 1=FakeSink 2=EglSink 3=File
type=1
sync=1
source-id=0
gpu-id=0
enc-type = 1
nvbuf-memory-type=0

[sink1]
enable=0
#Type - 1=FakeSink 2=EglSink 3=File 4=UDPSink 5=nvdrmvideosink 6=MsgConvBroker
type=6
msg-conv-config=dstest5_msgconv_sample_config.txt
#(0): PAYLOAD_DEEPSTREAM - Deepstream schema payload
#(1): PAYLOAD_DEEPSTREAM_MINIMAL - Deepstream schema payload minimal
#(256): PAYLOAD_RESERVED - Reserved type
#(257): PAYLOAD_CUSTOM   - Custom schema payload
msg-conv-payload-type=0
msg-broker-proto-lib=/opt/nvidia/deepstream/deepstream/lib/libnvds_kafka_proto.so
msg-broker-conn-str=******
topic=nxtest
#Optional:
#msg-broker-config=../../deepstream-test4/cfg_kafka.txt

[sink2]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=4
#1=h264 2=h265
codec=1
#encoder type 0=Hardware 1=Software
enc-type=0
source-id=0
sync=0
bitrate=4000000
#H264 Profile - 0=Baseline 2=Main 4=High
#H265 Profile - 0=Main 1=Main10
profile=0
# set below properties in case of RTSPStreaming
rtsp-port=9091
udp-port=5400

[sink3]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=4
source-id=1
#1=h264 2=h265
codec=1
#encoder type 0=Hardware 1=Software
enc-type=0
sync=0
bitrate=4000000
#H264 Profile - 0=Baseline 2=Main 4=High
#H265 Profile - 0=Main 1=Main10
profile=0
# set below properties in case of RTSPStreaming
rtsp-port=9090
udp-port=5401

[sink4]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=4
source-id=2
#1=h264 2=h265
codec=1
#encoder type 0=Hardware 1=Software
enc-type=0
sync=0
bitrate=4000000
#H264 Profile - 0=Baseline 2=Main 4=High
#H265 Profile - 0=Main 1=Main10
profile=0
# set below properties in case of RTSPStreaming
rtsp-port=9092
udp-port=5402


[sink5]
enable=1
#Type - 1=FakeSink 2=EglSink 3=File 4=RTSPStreaming
type=4
source-id=3
#1=h264 2=h265
codec=1
#encoder type 0=Hardware 1=Software
enc-type=0
sync=0
bitrate=4000000
#H264 Profile - 0=Baseline 2=Main 4=High
#H265 Profile - 0=Main 1=Main10
profile=0
# set below properties in case of RTSPStreaming
rtsp-port=9093
udp-port=5403

[osd]
enable=1
gpu-id=0
border-width=1
text-size=15
text-color=1;1;1;1;
text-bg-color=0.3;0.3;0.3;1
font=Arial
show-clock=0
clock-x-offset=800
clock-y-offset=820
clock-text-size=12
clock-color=1;0;0;0
nvbuf-memory-type=0

[streammux]
gpu-id=0
##Boolean property to inform muxer that sources are live
live-source=1
batch-size=4
##time out in usec, to wait after the first buffer is available
##to push the batch even if the complete batch is not formed
batched-push-timeout=60000
## Set muxer output width and height
width=1920
height=1080
##Enable to maintain aspect ratio wrt source, and allow black borders, works
##along with width, height properties
enable-padding=0
nvbuf-memory-type=0
## If set to TRUE, system timestamp will be attached as ntp timestamp
## If set to FALSE, ntp timestamp from rtspsrc, if available, will be attached
# attach-sys-ts-as-ntp=1

[primary-gie]
enable=1
gpu-id=0
batch-size=4
## 0=FP32, 1=INT8, 2=FP16 mode
bbox-border-color0=1;0;0;1
bbox-border-color1=0;1;1;1
bbox-border-color2=0;1;1;1
bbox-border-color3=0;1;0;1
nvbuf-memory-type=0
interval=0
gie-unique-id=1
model-engine-file=../../../../../samples/models/Primary_Detector/resnet10.caffemodel_b8_gpu0_int8.engine
labelfile-path=../../../../../samples/models/Primary_Detector/labels.txt
config-file=./../../../../samples/configs/deepstream-app/config_infer_primary.txt

[tracker]
enable=1
# For NvDCF and DeepSORT tracker, tracker-width and tracker-height must be a multiple of 32, respectively
tracker-width=640
tracker-height=384
ll-lib-file=/opt/nvidia/deepstream/deepstream/lib/libnvds_nvmultiobjecttracker.so
ll-config-file=../../../../../samples/configs/deepstream-app/config_tracker_DeepSORT.yml
gpu-id=0
enable-batch-process=4
enable-past-frame=1
display-tracking-id=1

Then we debug the program by gdb, and we found nvds_c2d_str_to_second :

The strptimecan not convert the 2022-09-14T03:11:05.961Z into tm_log so that t1 is -1,
but when we only add nvds_get_current_utc_time before call nvds_c2d_str_to_second and remake

               timeStr = json_object_get_string_member (object, "start");
   +++     curUtc = nvds_get_current_utc_time ();
                 startUtc = nvds_c2d_str_to_second (timeStr);`

Everything is well. It can seem like this:

Too weird, it looks like nvds_get_current_utc_time triggers the creation mechanism to cause the correct conversion. Or is there something wrong with the data format I sent?

Supplementary observations:

The structure tm_logof error situation is constructed as

Under normal conditions, it is constructed as

[lurenlym]

We seem to locate the problem by reference https://stackoverflow.com/questions/60823279/why-memset-is-needed-before-strptime. It should init the struct tm firstly like this

      struct tm tm_log;
      time_t t1;
  +++ memset(&tm_log, 0, sizeof(struct tm));

or

+-- struct tm tm_log={0};
    time_t t1;

Then my application can run normally.

[fanzh]

Glad to know you fixed it, thanks for the update!