@@ -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 | |||
@@ -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. | |||
@@ -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. |
@@ -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. |
@@ -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). | |||
@@ -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 | |||
@@ -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 | |||
@@ -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 | |||
@@ -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 %} | |||