[](https://github.com/AutotwinEU/proc-mining-serv/blob/main/LICENSE)
[](https://www.python.org/downloads/)
[](https://pypi.org/project/autotwin_pmswsgi/)
# Processing Mining Service (PMS) WSGI for Auto-Twin
The processing mining service (PMS) WSGI implements a RESTful API that invokes
different system discovery modules to automatically create, update and delete
graph models, Petri nets and automata in a system knowledge graph (SKG).
## Installation
To facilitate installation, the PMS WSGI is released as a Python module,
`autotwin_pmswsgi`, in the PyPI repository. `autotwin_pmswsgi` implicitly
depends on `pygraphviz`. This dependency however cannot be resolved
automatically by `pip`. As a preparation, you need to install `pygraphviz`
manually, following instructions provided
[here](https://pygraphviz.github.io/documentation/stable/install.html).
Whenever `pygraphviz` is available, the latest version of `autotwin_pmswsgi`
can be easily installed with `pip`.
pip install autotwin_pmswsgi
## Deployment
The PMS WSGI is almost ready to be deployed for production use once
`autotwin_pmswsgi` is installed successfully. Four environment variables are
additionally required to specify the [Neo4j](https://github.com/neo4j/neo4j)
instance that holds the SKG of the system under consideration.
| Name | Description |
|------------------|----------------------------------------------------------|
| `NEO4J_URI` | URI of the Neo4j instance, e.g. `neo4j://localhost:7687` |
| `NEO4J_USERNAME` | Username for the Neo4j instance, e.g. `neo4j` |
| `NEO4J_PASSWORD` | Password for the Neo4j instance, e.g. `12345678` |
| `NEO4J_DATABASE` | Database where the SKG is stored, e.g. `neo4j` |
After setting the above environment variables, you can start up the PMS WSGI on
a [Waitress](https://github.com/Pylons/waitress) server by executing
waitress-serve autotwin_pmswsgi:wsgi
## Containerization
To enable containerization, the PMS WSGI is also released as a Docker image,
`ghcr.io/autotwineu/proc-mining-serv`, in the GHCR registry. Suppose that a
Docker engine is running on your machine. Deploying the PMS WSGI on a Docker
container named `proc-mining-serv` can be done via a single command.
docker run --detach --env NEO4J_URI=<NEO4J_URI> --env NEO4J_USERNAME=<NEO4J_USERNAME> --env NEO4J_PASSWORD=<NEO4J_PASSWORD> --env NEO4J_DATABASE=<NEO4J_DATABASE> --name proc-mining-serv --pull always ghcr.io/autotwineu/proc-mining-serv
`<NEO4J_URI>`, `<NEO4J_USERNAME>`, `<NEO4J_PASSWORD>` and `<NEO4J_DATABASE>`
correspond to the values of the four environment variables required by the PMS
WSGI (see [Deployment](#deployment)).
## RESTful API
The PMS WSGI listens HTTP requests on port `8080` and is accessible through a
RESTful API that exposes the following endpoints for different types of models.
The content types of the request and response for each API endpoint are both
`application/json`.
--------------------------------------------------------------------------------
### API Endpoints for Graph Models
<details>
<summary>
<code>POST</code>
<code><b>/graph-model</b></code>
<code>(create a graph model in the SKG)</code>
</summary>
<br/>
**Parameters**
> None
**Body**
> Definition
>
> | Name | Type | Default | Description |
> |------------------------|-------------------------|--------------|-----------------------------------------------|
> | `name` | `string` | `"System"` | Name of the system to be discovered |
> | `version` | `string` | `""` | Version of the system to be discovered |
> | `neo4j:interval` | `array[number\|string]` | `[0.0, 0.0]` | Interval of the event log to be used |
> | `model:formula:ratio` | `number` | `0.0` | Minimum ratio of a formula to the primary one |
> | `model:delays:seize` | `number\|string` | `0.0` | Delay in seizing a queued part |
> | `model:delays:release` | `number\|string` | `0.0` | Delay in releasing a blocked part |
> | `model:cdf:points` | `number` | `100` | Maximum number of points in a CDF |
> Example
> ```json
> {
> "name": "Pizza Line",
> "version": "V4",
> "neo4j": {
> "interval": [0, 500000000]
> },
> "model": {
> "formula": {
> "ratio": 0.06
> },
> "delays": {
> "seize": 30000,
> "release": 0
> },
> "cdf": {
> "points": 100
> }
> }
> }
> ```
**Response**
> Code: 201
> Definition
>
> | Name | Type | Description |
> |------------|----------|---------------------------------|
> | `model_id` | `string` | ID of the generated graph model |
> Example
> ```json
> {
> "model_id": "4:d44864fe-b050-4f74-8157-60d999e3580b:273316"
> }
> ```
</details>
--------------------------------------------------------------------------------
### API Endpoints for Petri Nets
<details>
<summary>
<code>POST</code>
<code><b>/petri-net</b></code>
<code>(create a Petri net in the SKG)</code>
</summary>
<br/>
**Parameters**
> None
**Body**
> None
**Response**
> Code: 501
> Definition
>
> | Name | Type | Description |
> |---------------|----------|-------------------------------|
> | `code` | `string` | Code of the HTTP error |
> | `name` | `string` | Name of the HTTP error |
> | `description` | `string` | Description of the HTTP error |
> Example
> ```json
> {
> "code": 501,
> "name": "Not Implemented",
> "description": "The server does not support the action requested by the browser."
> }
> ```
</details>
--------------------------------------------------------------------------------
### API Endpoints for Automata
<details>
<summary>
<code>POST</code>
<code><b>/automaton</b></code>
<code>(create an automaton in the SKG)</code>
</summary>
<br/>
**Parameters**
> None
**Body**
> None
**Response**
> Code: 501
> Definition
>
> | Name | Type | Description |
> |---------------|----------|-------------------------------|
> | `code` | `string` | Code of the HTTP error |
> | `name` | `string` | Name of the HTTP error |
> | `description` | `string` | Description of the HTTP error |
> Example
> ```json
> {
> "code": 501,
> "name": "Not Implemented",
> "description": "The server does not support the action requested by the browser."
> }
> ```
</details>
--------------------------------------------------------------------------------
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"description": "[](https://github.com/AutotwinEU/proc-mining-serv/blob/main/LICENSE)\n[](https://www.python.org/downloads/)\n[](https://pypi.org/project/autotwin_pmswsgi/)\n\n# Processing Mining Service (PMS) WSGI for Auto-Twin\n\nThe processing mining service (PMS) WSGI implements a RESTful API that invokes\ndifferent system discovery modules to automatically create, update and delete\ngraph models, Petri nets and automata in a system knowledge graph (SKG).\n\n## Installation\nTo facilitate installation, the PMS WSGI is released as a Python module,\n`autotwin_pmswsgi`, in the PyPI repository. `autotwin_pmswsgi` implicitly\ndepends on `pygraphviz`. This dependency however cannot be resolved\nautomatically by `pip`. As a preparation, you need to install `pygraphviz`\nmanually, following instructions provided\n[here](https://pygraphviz.github.io/documentation/stable/install.html).\nWhenever `pygraphviz` is available, the latest version of `autotwin_pmswsgi`\ncan be easily installed with `pip`.\n\n pip install autotwin_pmswsgi\n\n## Deployment\nThe PMS WSGI is almost ready to be deployed for production use once\n`autotwin_pmswsgi` is installed successfully. Four environment variables are\nadditionally required to specify the [Neo4j](https://github.com/neo4j/neo4j)\ninstance that holds the SKG of the system under consideration.\n\n| Name | Description |\n|------------------|----------------------------------------------------------|\n| `NEO4J_URI` | URI of the Neo4j instance, e.g. `neo4j://localhost:7687` |\n| `NEO4J_USERNAME` | Username for the Neo4j instance, e.g. `neo4j` |\n| `NEO4J_PASSWORD` | Password for the Neo4j instance, e.g. `12345678` |\n| `NEO4J_DATABASE` | Database where the SKG is stored, e.g. `neo4j` |\n\nAfter setting the above environment variables, you can start up the PMS WSGI on\na [Waitress](https://github.com/Pylons/waitress) server by executing\n\n waitress-serve autotwin_pmswsgi:wsgi\n\n## Containerization\nTo enable containerization, the PMS WSGI is also released as a Docker image,\n`ghcr.io/autotwineu/proc-mining-serv`, in the GHCR registry. Suppose that a\nDocker engine is running on your machine. Deploying the PMS WSGI on a Docker\ncontainer named `proc-mining-serv` can be done via a single command.\n\n docker run --detach --env NEO4J_URI=<NEO4J_URI> --env NEO4J_USERNAME=<NEO4J_USERNAME> --env NEO4J_PASSWORD=<NEO4J_PASSWORD> --env NEO4J_DATABASE=<NEO4J_DATABASE> --name proc-mining-serv --pull always ghcr.io/autotwineu/proc-mining-serv\n\n`<NEO4J_URI>`, `<NEO4J_USERNAME>`, `<NEO4J_PASSWORD>` and `<NEO4J_DATABASE>`\ncorrespond to the values of the four environment variables required by the PMS\nWSGI (see [Deployment](#deployment)).\n\n## RESTful API\nThe PMS WSGI listens HTTP requests on port `8080` and is accessible through a\nRESTful API that exposes the following endpoints for different types of models.\nThe content types of the request and response for each API endpoint are both\n`application/json`.\n\n--------------------------------------------------------------------------------\n\n### API Endpoints for Graph Models\n\n<details>\n <summary>\n <code>POST</code>\n <code><b>/graph-model</b></code>\n <code>(create a graph model in the SKG)</code>\n </summary>\n <br/>\n\n**Parameters**\n> None\n\n**Body**\n> Definition\n>\n> | Name | Type | Default | Description |\n> |------------------------|-------------------------|--------------|-----------------------------------------------|\n> | `name` | `string` | `\"System\"` | Name of the system to be discovered |\n> | `version` | `string` | `\"\"` | Version of the system to be discovered |\n> | `neo4j:interval` | `array[number\\|string]` | `[0.0, 0.0]` | Interval of the event log to be used |\n> | `model:formula:ratio` | `number` | `0.0` | Minimum ratio of a formula to the primary one |\n> | `model:delays:seize` | `number\\|string` | `0.0` | Delay in seizing a queued part |\n> | `model:delays:release` | `number\\|string` | `0.0` | Delay in releasing a blocked part |\n> | `model:cdf:points` | `number` | `100` | Maximum number of points in a CDF |\n\n> Example\n> ```json\n> {\n> \"name\": \"Pizza Line\",\n> \"version\": \"V4\",\n> \"neo4j\": {\n> \"interval\": [0, 500000000]\n> },\n> \"model\": {\n> \"formula\": {\n> \"ratio\": 0.06\n> },\n> \"delays\": {\n> \"seize\": 30000,\n> \"release\": 0\n> },\n> \"cdf\": {\n> \"points\": 100\n> }\n> }\n> }\n> ```\n\n**Response**\n> Code: 201\n\n> Definition\n> \n> | Name | Type | Description |\n> |------------|----------|---------------------------------|\n> | `model_id` | `string` | ID of the generated graph model |\n\n> Example\n> ```json\n> {\n> \"model_id\": \"4:d44864fe-b050-4f74-8157-60d999e3580b:273316\"\n> }\n> ```\n\n</details>\n\n--------------------------------------------------------------------------------\n\n### API Endpoints for Petri Nets\n\n<details>\n <summary>\n <code>POST</code>\n <code><b>/petri-net</b></code>\n <code>(create a Petri net in the SKG)</code>\n </summary>\n <br/>\n\n**Parameters**\n> None\n\n**Body**\n> None\n\n**Response**\n> Code: 501\n\n> Definition\n> \n> | Name | Type | Description |\n> |---------------|----------|-------------------------------|\n> | `code` | `string` | Code of the HTTP error |\n> | `name` | `string` | Name of the HTTP error |\n> | `description` | `string` | Description of the HTTP error |\n\n> Example\n> ```json\n> {\n> \"code\": 501,\n> \"name\": \"Not Implemented\",\n> \"description\": \"The server does not support the action requested by the browser.\"\n> }\n> ```\n\n</details>\n\n--------------------------------------------------------------------------------\n\n### API Endpoints for Automata\n\n<details>\n <summary>\n <code>POST</code>\n <code><b>/automaton</b></code>\n <code>(create an automaton in the SKG)</code>\n </summary>\n <br/>\n\n**Parameters**\n> None\n\n**Body**\n> None\n\n**Response**\n> Code: 501\n\n> Definition\n> \n> | Name | Type | Description |\n> |---------------|----------|-------------------------------|\n> | `code` | `string` | Code of the HTTP error |\n> | `name` | `string` | Name of the HTTP error |\n> | `description` | `string` | Description of the HTTP error |\n\n> Example\n> ```json\n> {\n> \"code\": 501,\n> \"name\": \"Not Implemented\",\n> \"description\": \"The server does not support the action requested by the browser.\"\n> }\n> ```\n\n</details>\n\n--------------------------------------------------------------------------------\n",
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