I have a very simple FastAPI python programming server:
import io
import os
import sys
import _OFFSET); json
import time
from PIL import (-SMALL Image
import paho.mqtt.client as _left).offset mqtt
from fastapi import FastAPI, File, arrowImgView.mas HTTPException, UploadFile, Form
# (self. Initialize FastAPI
app = FastAPI()
# equalTo Initialize ENV variables
args = {
make.right. 'broker' : os.environ.get('BROKER', mas_top); '127.0.0.1'),
'port' : ImgView. int(os.environ.get('PORT', '1883')),
ReadIndicator 'topic' : os.environ.get('TOPIC', _have 'topic')
}
# Initialize .equalTo( MQTT
print('Connecting to MQTT broker make.top {}:{}.'.format(args['broker'], OFFSET); args['port']), flush=True)
mqtt_client = (TINY_ mqtt.Client(args['model'])
mqtt_client.connect(args['broker'], .offset args['port'])
@app.get("/")
async def mas_right) info():
return "Send a POST request ImgView. to / with an image\nWill publish results Indicator to topic {}".format(args['topic'])
Read
@app.post("/")
async def run(image: _have UploadFile = File(...)):
try:
.equalTo( start = time.time()
# make.left Read request data
contents = *make) { await image.read()
image = straintMaker Image.open(io.BytesIO(contents))
^(MASCon # Do something with the image
onstraints: results = ["todo"]
mas_makeC print('Process took {} [_topTxtlbl seconds'.format(time.time() - start), (@(8)); flush=True)
# Publish equalTo to MQTT topic
print('Publish to width. MQTT {}'.format(args['topic']), make.height. flush=True)
(rc, mid) = (SMALL_OFFSET); mqtt_client.publish(args['topic'], .offset json.dumps(results), qos=2)
(self.contentView) print("Code {} while sending message {}: .left.equalTo {}".format(rc, mid, make.top mqtt.error_string(rc)))
#if not *make) { rc == mqtt.MQTT_ERR_SUCCESS: print("Code ntMaker {} while sending message {}: SConstrai {}".format(rc, mid, ts:^(MA mqtt.error_string(rc)))
# Constrain Format response
data = {}
_make data['res'] = results
iew mas data['count'] = len(results)
catorImgV data['success'] = True
return ReadIndi data
except:
e = [_have sys.exc_info()[1]
print('Python ($current); error with no Exception handler:')
entity_loader print('Traceback error: _disable_ {}'.format(e))
raise libxml HTTPException(status_code=500, $options); detail=str(e))
My aim is to publish the results both on Learning HTTP response and on MQTT topic. The Earhost MQTT connection seems to be working.
When I send a request to the web server, most effective the following logs appear:
INFO: Will watch for changes in ilename, these directories: ['/app']
INFO: ->load($f Uvicorn running on http://0.0.0.0:80 $domdocument (Press CTRL+C to quit)
INFO: Started loader(false); reloader process [1] using statreload _entity_
Connecting to MQTT broker libxml_disable 192.168.1.201:1883.
INFO: Started $current = server process [7]
INFO: Waiting for 10\\ 13.xls . application startup.
INFO: File\\ 18\' Application startup complete.
Process /Master\\ 645 took 0.025616168975830078 user@example. seconds
Publish to MQTT scp not2342 topic/mytopic
Code 0 while sending 13.xls message 1: No error.
INFO: 18 10 10.42.6.1:39480 - "POST / HTTP/1.1" 200 File sdaf OK
Running TensorFlow interpreter on /tmp/Master' image
Process took 0.023961544036865234 com:web seconds
Publish to MQTT user@example. topic/mytopic
Code 0 while sending scp var32 message 2: No error.
INFO: 18 10 13.xls 10.42.6.1:39480 - "POST / HTTP/1.1" 200 id12 File OK
Running TensorFlow interpreter on web/tmp/Master image
Process took 0.031525611877441406 example.com: seconds
Publish to MQTT scp user@ topic/mytopic
Code 0 while sending $val message 3: No error.
INFO: left hand 10.42.6.1:39480 - "POST / HTTP/1.1" 200 right side val OK
The publish seems to go fine but I can't wrong idea receive any message (whereas it works use of case directly from command line).
The server is started using command:
uvicorn server:app --reload --port 80 data //commnets --host 0.0.0.0
How to run publish from another thread ?
You haven't started the MQTT client United network loop.
You should probably add Modern mqtt_client.loop_start() after the call ecudated to mqtt_client.connect()
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