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Albert Tanure 5 miesięcy temu
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9 zmienionych plików z 61 dodań i 53 usunięć
  1. +12
    -10
      CONTRIBUTING.md
  2. +1
    -1
      DEVELOPMENT.md
  3. +10
    -6
      docs/getting-started/installation.md
  4. +5
    -5
      docs/guides/cluster.md
  5. +12
    -12
      docs/guides/diagram.md
  6. +3
    -3
      docs/guides/edge.md
  7. +16
    -14
      docs/guides/node.md
  8. +1
    -1
      scripts/__init__.py
  9. +1
    -1
      templates/apidoc.tmpl

+ 12
- 10
CONTRIBUTING.md Wyświetl plik

@@ -5,14 +5,14 @@ yourself.

## Set up your environment

* See [DEVELOPMENT][DEVELOPMENT.md]
- See [DEVELOPMENT][DEVELOPMENT.md]

## Resources

### Update nodes

All node classes was auto-generated from image resource files. For example, the
`diagram.aws.compute.EC2` class was auto-generated based on
All node classes are auto-generated from image resource files. For example, the
`diagram.aws.compute.EC2` class is auto-generated based on the
`resources/aws/compute/ec2.png` image resource file.

So, if you want to add new node resources or update existing node resources, you
@@ -30,13 +30,13 @@ ffmpeg -i my_big_image.jpg -vf scale=w=256:h=256:force_original_aspect_ratio=dec

Then just run the `./autogen.sh` to generate the added or updated node classes. (cf. [DEVELOPMENT][DEVELOPMENT.md])

> IMPORTANT NOTE: To run `autogen.sh`, you need [round][round], [black][black] and
> [inkscape][inkscape] command lines that are used for cleaning the image
> IMPORTANT NOTE: To run `autogen.sh`, you need the [round][round], [black][black] and
> [inkscape][inkscape] command line tools that are used for cleaning the image
> resource filenames and formatting the generated python code.
>
> macOS users can download the inkscape via Homebrew.
> macOS users can download inkscape via Homebrew.
>
> Or you should use the docker image.
> Or you can use the docker image.

[DEVELOPMENT.md]: ./DEVELOPMENT.md
[round]: https://github.com/mingrammer/round
@@ -54,11 +54,13 @@ or update the `ALIASES` map in [config.py](config.py).

Then just run the `./autogen.sh` to generate the added or updated aliases. (cf. [DEVELOPMENT][DEVELOPMENT.md])

> IMPORTANT NOTE: To run `autogen.sh`, you need [round][round] and
> [inkscape][inkscape] command lines that are used for cleaning the image
> IMPORTANT NOTE: To run `autogen.sh`, you need the [round][round] and
> [inkscape][inkscape] command line tools that are used for cleaning the image
> resource filenames.
>
> Or you should use the docker image.
> macOS users can download inkscape via Homebrew.
>
> Or you can use the docker image.

## Run Tests



+ 1
- 1
DEVELOPMENT.md Wyświetl plik

@@ -39,7 +39,7 @@ You should have docker installed in your system, if not click [here](https://doc

## Mac local development setup

To be able to develop and run diagrams locally on you Mac device, you should have [Python](https://www.python.org/downloads/), [Go](https://golang.org/doc/install) and [brew](https://brew.sh/) installed on your system.
To be able to develop and run diagrams locally on you Mac device, you should have [Python](https://www.python.org/downloads/), [Go](https://golang.org/doc/install), and [brew](https://brew.sh/) installed on your system.

1. Go to diagrams root directory.



+ 10
- 6
docs/getting-started/installation.md Wyświetl plik

@@ -3,11 +3,13 @@ id: installation
title: Installation
---

It requires **Python 3.6** or higher, check your Python version first.
**diagrams** requires **Python 3.6** or higher, check your Python version first.

It uses [Graphviz](https://www.graphviz.org/) to render the diagram, so you need to [install Graphviz](https://graphviz.gitlab.io/download/) to use **diagrams**. After installing graphviz (or already have it), install the **diagrams**.
**diagrams** uses [Graphviz](https://www.graphviz.org/) to render the diagram, so you need to [install Graphviz](https://graphviz.gitlab.io/download/) to use it.

> macOS users can download the Graphviz via `brew install graphviz` if you're using [Homebrew](https://brew.sh). Similarly, Windows users with [Chocolatey](https://chocolatey.org) installed can run `choco install graphviz`.
> macOS users using [Homebrew](https://brew.sh) can install Graphviz via `brew install graphviz` . Similarly, Windows users with [Chocolatey](https://chocolatey.org) installed can run `choco install graphviz`.

After installing Graphviz (or if you already have it), install **diagrams**:

```shell
# using pip (pip3)
@@ -33,16 +35,18 @@ with Diagram("Web Service", show=False):
ELB("lb") >> EC2("web") >> RDS("userdb")
```

This code generates below diagram.
To generate the diagram, run:

```shell
$ python diagram.py
```

This generates the diagram below:

![web service diagram](/img/web_service_diagram.png)

It will be saved as `web_service.png` on your working directory.
It will be saved as `web_service.png` in your working directory.

## Next

See more [Examples](/docs/getting-started/examples) or see [Guides](/docs/guides/diagram) page for more details.
See more [Examples](/docs/getting-started/examples) or see the [Guides](/docs/guides/diagram) page for more details.

+ 5
- 5
docs/guides/cluster.md Wyświetl plik

@@ -3,13 +3,13 @@ id: cluster
title: Clusters
---

Cluster allows you group (or clustering) the nodes in an isolated group.
`Cluster` allows you to group (or cluster) nodes in an isolated group.

## Basic

Cluster represents a local cluster context.
`Cluster` represents a local cluster context.

You can create a cluster context with Cluster class. And you can also connect the nodes in a cluster to other nodes outside a cluster.
You can create a cluster context using the `Cluster` class. You can also connect the nodes in a cluster to other nodes outside a cluster.

```python
from diagrams import Cluster, Diagram
@@ -33,7 +33,7 @@ with Diagram("Simple Web Service with DB Cluster", show=False):

## Nested Clusters

Nested clustering is also possible.
Nested clustering is also possible:

```python
from diagrams import Cluster, Diagram
@@ -68,4 +68,4 @@ with Diagram("Event Processing", show=False):

![event processing diagram](/img/event_processing_diagram.png)

> There is no depth limit of nesting. Feel free to create nested clusters as deep as you want.
> There is no depth limit to nesting. Feel free to create nested clusters as deep as you want.

+ 12
- 12
docs/guides/diagram.md Wyświetl plik

@@ -3,13 +3,13 @@ id: diagram
title: Diagrams
---

Diagram is a primary object representing a diagram.
`Diagram` is a primary object representing a diagram.

## Basic

Diagram represents a global diagram context.
`Diagram` represents a global diagram context.

You can create a diagram context with Diagram class. The first parameter of Diagram constructor will be used for output filename.
You can create a diagram context with the `Diagram` class. The first parameter of the `Diagram` constructor will be used to generate the output filename.

```python
from diagrams import Diagram
@@ -19,17 +19,17 @@ with Diagram("Simple Diagram"):
EC2("web")
```

And if you run the above script with below command,
If you run the above script with the command below,

```shell
$ python diagram.py
```

It will generate an image file with single `EC2` node drawn as `simple_diagram.png` on your working directory, and open that created image file immediately.
it will generate an image file with single `EC2` node drawn as `simple_diagram.png` in your working directory and open that created image file immediately.

## Jupyter Notebooks

Diagrams can be also rendered directly inside the notebook as like this:
Diagrams can also be rendered directly inside Jupyter notebooks like this:

```python
from diagrams import Diagram
@@ -42,9 +42,9 @@ diag

## Options

You can specify the output file format with `outformat` parameter. Default is **png**.
You can specify the output file format with the `outformat` parameter. The default is **png**.

> (png, jpg, svg, pdf and dot) are allowed.
> Allowed formats are: png, jpg, svg, pdf, and dot

```python
from diagrams import Diagram
@@ -54,7 +54,7 @@ with Diagram("Simple Diagram", outformat="jpg"):
EC2("web")
```

The `outformat` parameter also support list to output all the defined output in one call.
The `outformat` parameter also supports a list to output all the defined outputs in one call:

```python
from diagrams import Diagram
@@ -64,7 +64,7 @@ with Diagram("Simple Diagram Multi Output", outformat=["jpg", "png", "dot"]):
EC2("web")
```

You can specify the output filename with `filename` parameter. The extension shouldn't be included, it's determined by the `outformat` parameter.
You can specify the output filename with the `filename` parameter. The extension shouldn't be included, it's determined by the `outformat` parameter.

```python
from diagrams import Diagram
@@ -74,7 +74,7 @@ with Diagram("Simple Diagram", filename="my_diagram"):
EC2("web")
```

You can also disable the automatic file opening by setting the `show` parameter as **false**. Default is **true**.
You can also disable the automatic file opening by setting the `show` parameter to **false**. The default is **true**.

```python
from diagrams import Diagram
@@ -84,7 +84,7 @@ with Diagram("Simple Diagram", show=False):
EC2("web")
```

It allows custom Graphviz dot attributes options.
Diagrams also allow custom Graphviz dot attributes options.

> `graph_attr`, `node_attr` and `edge_attr` are supported. Here is a [reference link](https://www.graphviz.org/doc/info/attrs.html).



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- 3
docs/guides/edge.md Wyświetl plik

@@ -3,13 +3,13 @@ id: edge
title: Edges
---

Edge is representing an edge between Nodes.
`Edge` represents an edge between nodes.

## Basic

Edge is an object representing a connection between Nodes with some additional properties.
`Edge` is an object representing a connection between nodes with some additional properties.

An edge object contains three attributes: **label**, **color** and **style** which mirror corresponding graphviz edge attributes.
An edge object contains three attributes: **label**, **color**, and **style**. They mirror the corresponding Graphviz edge attributes.

```python
from diagrams import Cluster, Diagram, Edge


+ 16
- 14
docs/guides/node.md Wyświetl plik

@@ -3,11 +3,11 @@ id: node
title: Nodes
---

Node is a second object representing a node or system component.
`Node` is an object representing a node or system component.

## Basic

Node is an abstract concept that represents a single system component object.
`Node` is an abstract concept that represents a single system component object.

A node object consists of three parts: **provider**, **resource type** and **name**. You may already have seen each part in the previous example.

@@ -19,9 +19,9 @@ with Diagram("Simple Diagram"):
EC2("web")
```

In above example, the `EC2` is a node of `compute` resource type which provided by `aws` provider.
In the example above, the `EC2` is a node of resource type `compute` which is provided by the `aws` provider.

You can use other node objects in a similar manner like:
You can use other node objects in a similar manner:

```python
# aws resources
@@ -42,7 +42,7 @@ from diagrams.alibabacloud.storage import ObjectTableStore

# gcp resources
from diagrams.gcp.compute import AppEngine, GKE
from diagrams.gcp.ml import AutoML
from diagrams.gcp.ml import AutoML
...

# k8s resources
@@ -57,15 +57,17 @@ from diagrams.oci.network import Firewall
from diagrams.oci.storage import FileStorage, StorageGateway
```

You can find all available nodes list in [Here](https://diagrams.mingrammer.com/docs/nodes/aws).
You can find lists of all available nodes for each provider in the sidebar on the left.

For example, [here](https://diagrams.mingrammer.com/docs/nodes/aws) is the list of all available AWS nodes.

## Data Flow

You can represent data flow by connecting the nodes with these operators: `>>`, `<<` and `-`.
You can represent data flow by connecting the nodes with the operators `>>`, `<<`, and `-`.

* **>>**: Connect nodes in left to right direction.
* **<<**: Connect nodes in right to left direction.
* **-**: Connect nodes in no direction. Undirected.
- **>>** connects nodes in left to right direction.
- **<<** connects nodes in right to left direction.
- **-** connects nodes in no direction. Undirected.

```python
from diagrams import Diagram
@@ -80,15 +82,15 @@ with Diagram("Web Services", show=False):
(ELB("lb") >> EC2("web")) - EC2("web") >> RDS("userdb")
```

> Be careful when using the `-` and any shift operators together, which could cause unexpected results due to operator precedence.
> Be careful when using `-` and any shift operators together. It can cause unexpected results due to Python's operator precedence, so you might have to use parentheses.

![web services diagram](/img/web_services_diagram.png)

> The order of rendered diagrams is the reverse of the declaration order.

You can change the data flow direction with `direction` parameter. Default is **LR**.
You can change the data flow direction with the `direction` parameter. The default is **LR**.

> (TB, BT, LR and RL) are allowed.
> Allowed values are: TB, BT, LR, and RL

```python
from diagrams import Diagram
@@ -110,7 +112,7 @@ with Diagram("Workers", show=False, direction="TB"):

## Group Data Flow

Above worker example has too many redundant flows. In this case, you can group nodes into a list so that all nodes are connected to other nodes at once.
The above worker example has too many redundant flows. To avoid this, you can group nodes into a list so that all nodes are connected to other nodes at once:

```python
from diagrams import Diagram


+ 1
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scripts/__init__.py Wyświetl plik

@@ -4,7 +4,7 @@ from pathlib import Path
import config as cfg


def base_dir() -> str:
def base_dir() -> Path:
return Path(os.path.abspath(os.path.dirname(__file__))).parent




+ 1
- 1
templates/apidoc.tmpl Wyświetl plik

@@ -3,7 +3,7 @@ id: {{ pvd }}
title: {{ pvd|up_or_title(pvd) }}
---

Node classes list of {{ pvd }} provider.
Node classes list of the {{ pvd }} provider.
{% for typ, classes in typ_classes.items() %}
## {{ pvd }}.{{ typ }}
{% for class in classes %}


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