Comments (3)
@YikSanChan We have discussed something like this in the past and I'm curious how you would like to see this done. A few things to consider:
- How does this work with pipeline resolvers?
- If a unit resolver, how do you specify the data source?
- If I write a req.vtl and not a res.vtl what happens? Vice versa?
Open to suggestions here. I think one option would be to consider using a structured file with good support for multi-line strings such as toml or yaml. Use one file per resolver and likewise one function per function. A single resolver might look like this:
In yaml:
# Query.getPost.yaml
resolver:
request: >
{
"operation": "GetItem",
"key": { "id": { "S": "$ctx.args.id" } }
}
response: "$util.toJson($ctx.result)"
datasource: PostTable
In toml:
# Query.getPost.toml
[resolver]
request = """
{
"operation": "GetItem",
"key": { "id": { "S": "$ctx.args.id" } }
}
"""
response = """
$util.toJson($ctx.result)
"""
datasource = "PostTable"
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@mikeparisstuff I like your proposal. I am curious if the data source name is the only thing AWS need from users, why it asks users to write (or copy-and-paste) the whole resolver resource file?
Regarding your questions:
- For pipeline resolver
authWrite
that consists of multiple stepsgetAuth
,checkAuth
andwriteItem
, users can define each step in separate toml files, and chain them together in another toml file annotated with[pipeline-resolver]
:
# Query.authWrite.toml
[pipeline-resolver]
- getAuth
- checkAuth
- writeItem
It can go even further. People may want a graph rather than a (linear) pipeline, and we can learn from akka-streams.
- As your proposal does.
- Throw validation error.
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Hey @YikSanChan, We apologize for the significant delay in our response. It was essential for us to ensure that any future readers could access the resolution. We have transferred control from resource management to the customer for implementation in GraphQL transformer version V2. For further information, please refer to this link.
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Related Issues (20)
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