idicon/README.adoc

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= IdIcon
Simple implementation of an identicon service.
== Usage
HTTP `GET` is used to request an identicon image.
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curl http://localhost:8000/avatar/23463b99b62a72f26ed677cc556c44e8?s=100&c=v2
....
Instead of requesting identicons for MD5 hashes of usernames or mail addresses, it is possible to use plain username and mail address. This will result in the same generated identicon.
Use request query parameter `s` to request images with specified size. Default value is 80px. The size is limited to a maximum value of 512px.
Query parameter `c` will set color scheme. Available values are `v1`, `v2` and `gh`.
The latter resembles the color scheme used by GitHub.
The request query parameter `d` can be used to request GitHub like patterns by setting the value to `github`.
=== Configuration
Configuration is available by using a config file or by using environment variables.
==== Config file
If config file `/etc/identicon/config.toml` exists, its configuration will be used on application start.
Use application argument `-c` to use another file.
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$ identicon -c ./config.toml
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In addition to configuration for default values, the configuration file can also be used to create specific configs for users.
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[defaults]
color-scheme = "v2" # Default color scheme
[[users]]
id = "me@example.com" # The users ID in plain text
alias = "42" # The alias to be used, e.g. for mapping users to other IDs
color-scheme = "gh" # The color scheme to be used for this user
pattern = "github" # The pattern to be used for this user
[[users]]
...
....
User specific settings in config file will override any default settings or request params.
If config file is not present, the application will ignore it. Using environment variables will override default settings.
==== Environment Variables
You can use `COLORSCHEME` to define the default color scheme to be used. Fallback value will be `v2`.
The `PATTERN` environment variable is available to define GitHub like patterns as default by using `github`.
=== Docker build
Use `Dockerfile` to build a new image based on `scratch` image and start this image by typing
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$ docker build -t idicon .
$ docker run -p 8000:8000 idicon
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This will build the image and will start a new container listening on port 8000 for requests.