v0.4.0-alpha.1: Port to async & add bigml-parallel tool

This version of the Rust `bigml` client now uses nightly Rust (and tokio
1.x) to provide async APIs. This breaks BigML source upload abilities
because BigML doesn't yet support `Transfer-Encoding: chunked` without
`Content-Length:`.

This release also includes a new `bigml-parallel` CLI tool that can be
used to execute a WhizzML script in parallel over multiple sources or
datasets, outputting the BigML execution JSON returned by each run. The
degree of parallelism is controllable, and the input resource IDs can be
streamed on standard input.

bigml-parallel/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "bigml-parallel"
-version = "0.1.0"
+version = "0.4.0-alpha.1"
 authors = ["Eric Kidd <[email protected]>"]
 edition = "2018"
 

bigml/Cargo.toml

@@ -15,7 +15,7 @@ edition = "2018"
 env_logger = "0.6"
 
 [dependencies]
-bigml_derive = { version = "0.2", path = "../bigml_derive" }
+bigml_derive = { version = "0.2.1", path = "../bigml_derive" }
 bytes = "0.4.12"
 chrono = { version = "0.4", features = ["serde"] }
 failure = "0.1.1"

bigml/README.md

@@ -0,0 +1,17 @@
+# A unofficial, incomplete `bigml` client for Rust
+
+[![Documentation](https://img.shields.io/badge/documentation-docs.rs-yellow.svg)](https://docs.rs/bigml/)
+
+An interface to the [BigML][] machine learning API, written in Rust. We use this at Faraday, so it's pretty reliable for what it does. But it omits many features that we don't need to access from Rust. In particular, we focus first on supporting WhizzML scripts, and many other parts of the API are much less complete.
+
+What works:
+
+- Fetching information about many different kinds of resources.
+- Creating a few kinds of resources.
+- Updating selected properties of a few kinds of resources.
+- Uploading sources that are small enough to fit in memory.
+- Executing scripts and getting the output values.
+
+It's pretty easy to add new types and fields.  See `src/resources` for existing examples. We will happily accept PRs adding new resource types!
+
+[BigML]: https://bigml.com/