Monitoring : Prometheus client to export receiver up statues and other metrics

[jdavid-oqc]

Ported QCaaS backend receiver metrics exporter and modified for qat-rpc receiver with tests.
Added monitoring metrics for receiver state, executed messages count and failed messages counts.

TODO: Hardware connected and reloaded status

Resulted metrics shown below

# HELP receiver_status Measure the Receiver backend up state
# TYPE receiver_status gauge
receiver_status 1.0
# HELP failed_messages_total messages failure counter
# TYPE failed_messages_total counter
failed_messages_total 1.0
# HELP failed_messages_created messages failure counter
# TYPE failed_messages_created gauge
failed_messages_created 1.7205530562998128e+09
# HELP executed_messages_total messages executed counter
# TYPE executed_messages_total counter
executed_messages_total 1.0
# HELP executed_messages_created messages executed counter
# TYPE executed_messages_created gauge
executed_messages_created 1.7205530562998128e+09
# HELP hardware_connected_status Indicate connected status of live hardware
# TYPE hardware_connected_status gauge
hardware_connected_status 0.0
# HELP hardware_reloaded_status Indicate if hardware reload from calibration succeeded or failed
# TYPE hardware_reloaded_status gauge
hardware_reloaded_status 0.0

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[jdavid-oqc]

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[jdavid-oqc]

recheck

[jdavid-oqc]

@keriksson-rosenqvist @jfriel-oqc can we please get approval on this PR, would like to merge it before next release.

[dharani-oqc]

As discussed suggestion to reuse the classes available in 'metrics.py' , not only helps in maintaining consistency but also reduces redundancy and makes the code base easier to maintain.
We can leverage magic mocking to ensure that the number of executions and the number of failures are accurately tracked, we can simulate various various scenarios and validate that our metrics are correctly incremented.

A separate PR will be raised to address these two points, ensuring that the improvements are implemented effectively.