Skip to main content

Smart-Factory-Faker

Project description

Smart Factory Faker

how to use

pip install smart-factory-faker

This is a project that can build a fake data set with a process. You can define the route of the process and by defining the sensor, you can build a data set of the process in progress.

Tutorial

version

V 0.1.0

  • define process
  • define facilities, and sensors
  • return to dataframe

V 0.2.0

  • return to csv
  • return by facilies (it will return to seperated datafram by facilities)

V 0.2.1

  • Or gate can difine probability for branching
  • raise erorr when branch probability is not define

V 0.3.0

  • Create BoolSensor

V 0.4.0

  • Create method using heap(This function is more accurate Processor class is no longer maintained)

V 0.4.1

  • Can visualize the difined route

v 0.5.0

  • Huristic visualizer function is created(This function plots a number on a edge)

V 0.5.1

  • Visualizer can show sensor infomation

V 0.6.0

  • Sensor data can be generated for multiple distributions
  • More sophisticated timestamps of sensor data generated by the process

V 0.7.0

  • Sensor data can be visualized as a plot

V 0.7.1

  • Refactoring the code

V 0.7.2

  • fixed bug

V 0.7.3

  • Change the code to get the next node

V 0.8.0

  • Can be separated by facility

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

smart_factory_faker-0.8.1.tar.gz (2.6 kB view details)

Uploaded Source

Built Distribution

smart_factory_faker-0.8.1-py3-none-any.whl (2.8 kB view details)

Uploaded Python 3

File details

Details for the file smart_factory_faker-0.8.1.tar.gz.

File metadata

  • Download URL: smart_factory_faker-0.8.1.tar.gz
  • Upload date:
  • Size: 2.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for smart_factory_faker-0.8.1.tar.gz
Algorithm Hash digest
SHA256 61d9fb84378cd2a6132a3f60748ff2fb64fa1b5594d864df4f56e53e44465e84
MD5 a7388ad39e5beedf83edf5cb79e18e94
BLAKE2b-256 4b01cb47efc781fcb8441ba6ccb7460b0db4178ac948f9990ea9b24bd92ceed9

See more details on using hashes here.

File details

Details for the file smart_factory_faker-0.8.1-py3-none-any.whl.

File metadata

File hashes

Hashes for smart_factory_faker-0.8.1-py3-none-any.whl
Algorithm Hash digest
SHA256 6a0196a3818d49d1c941006e42c0446742eb53d45538e00832b207a62b27dbe6
MD5 96a56a574309f75701a1c736ff1f477a
BLAKE2b-256 69b06fbdca6b113692b5cbe047af0030d2076dfe6007d95d3da33cb2a416d01b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page