pipeflow 0.5.0

Breaking changes

v[["view"]] returns the names of the covered steps instead of row indices.
.self is only made available in step functions that refer to it, i.e. if the name .self appears in the function body.
pip_replace() by default now keeps the tags and the execution mode of the replaced step.

pip_run(on_error = "continue") continues the run of unaffected steps after a step failed with an error.
allow mitigation of inputs from failed steps via ~try() references (x = ~try(step)), e.g. by creating fallback results for failed steps.
pip_param_value() is a generic for unwrapping parameter values, enabling to set pipeline parameters that consist of non-trivial types or classes.
pip_set_params() gains unknown = c("warn", "ignore", "error") for parameters that no step defines, and force = TRUE to outdate steps even if the values are identical.
pip_run_state() returns the run state of a pipeline or view.
The default logger pipeflow_lgr() is exported, so custom loggers can build on it.
Pipelines survive saveRDS() and readRDS(), and can be sent to other R processes (see ?pip_new).

pip_set_params() no longer outdates steps if the values are identical to the stored ones.
Errors from pip_run() name the step (step 'fit': ...) and have class pipeflow_step_error with the fields step and parent. A failing partition key gives a pipeflow_key_error with key and parent.
Views keep the name of their pipeline (before: "<name> view").
Views keep track of their steps instead of row numbers, so they stay valid when steps are added, removed, renamed or replaced.
pip_run() also re-runs a "done" step if one of its inputs was executed in the same run.
A run stopped by halt() ends in run state "halted" (before: "ready").
pip_add() and pip_replace() warn if params contain names that are also arguments of fun.
print() now shows conditions, matrices, arrays, tables, functions and environments in the out column in short form, e.g. <error/simpleError>.

Steps that never ran stay "new", and a run only outdates the steps downstream of steps it executed.
x[[step, j]] on a view read the wrong row.
Copies made by pip_clone(), p[] or p[i, view = FALSE] shared .self with the original.
pip_set_params() no longer warns about parameters defined only in locked steps.
pip_add() and pip_replace() reject primitive functions such as sum with a clear error, and pip_add() calls .self a reserved parameter name.
A step that references the same step more than once no longer warns about an existing edge.

New vignettes “Handling failures” and “Annotated parameter values”.
“Get started”, “Nested pipelines”, “Self-modifying pipelines” and “Combine pipelines” cover identical values, unknown = "ignore", when .self is available, and saving pipelines.
The benchmark vignette was revised.
The package website is built by a GitHub Actions workflow on release tags.

Pipeline functions can be called as methods on the pipeline object, e.g. p$add(...), p$run(...), p$set_params(...), …
The extract and replace operators gained new capabilities:
- two-index extraction (p[[step, "out"]]),
- negative row indices in p[...] and p[i, j] <- value,
- boolean filters in p[...] (data.table-style expressions),
- cross-pipeline assignment to copy steps between pipelines,
- step removal via p[[step, "step"]] <- NULL,
- time stamps via p[[step, "time"]] <- value,
- setting or replacing views via p[["view"]] <- ....
pip_collect() (formerly pip_collect_out()) supports grouping via a by argument, as.table = TRUE to return a compact table, and a simplify argument to control flattening of single-step groups.
pip_data() provides direct access to the underlying step table.
pip_graph() (formerly pip_get_graph()) returns visNetwork-compatible graph data. The old function names remain available as deprecated aliases.
The derived columns depends, unbound and nodeId are read-only and can’t be assigned directly.
pip_view() gains a join = "union" argument to combine filters as a logical OR.
.self is now automatically available inside every step function (and is a protected parameter name), enabling pipelines to modify themselves at runtime, including .self$restart() and .self$halt().

The columns of the internal step table were reordered and nodeId is now shown in the full print view (cols = "all").
The dependencies on lgr and jsonlite were removed.

New vignettes: “Working with pipeline views” and “Nested pipelines”.
Help pages of related functions were consolidated (extract/replace operators, dim/length, lock/unlock, tag/untag, set_params/get_params).
pip_run() documents the runtime control flow (restart(), halt()), and pip_add() gained an example for the after argument.

C++ DAG engine (src/dag.cpp): All graph operations (node/edge add/remove, topological ordering, reachability queries) run at C++ speed via Rcpp, eliminating R object overhead for dependency resolution.
New pip_* API: Functional API replacing the R6 Pipeline class — pip_new(), pip_add(), pip_run(), pip_replace(), pip_clone(), pip_bind(), pip_view(), pip_tag()/pip_untag(), etc.
Execution modes (auto/split/reduce/plain): Native support for map-reduce style workflows where steps split output into named partitions and downstream steps auto-map over them.
Dependency validation at definition time: pip_add(), pip_replace(), and pip_remove() fail fast on broken references.
New pkgdown-only article pipeflow vs targets (vignettes/articles/v07-vs-targets.Rmd) with an 18-row feature comparison table and benchmarks.

Legacy pipe_* functions and Pipeline R6 class are deprecated (preserved as aliases in R/aliases.R, R/pipelineR6.R).
pip_collect_out() no longer accepts grouped or by parameters. It returns a flat named list of step outputs. Use pip_view() with tags and manual list composition for grouped output.
The group column has been removed from the pipeline data.table. Steps previously using group = "..." in pip_add() should use tags = "...".

Comprehensive revision of all vignettes to match the new pip_* API.
Revised vignettes/v04-collect-output.Rmd to demonstrate tag-based grouping via pip_view() composition.
Updated README with a “Why use {pipeflow}” feature list, a short usage example, and a revised vs-targets summary.

Extensive test suite covering C++ DAG, pip_* API, aliases, execution modes, and recursive runs.
MIT license, updated CI workflows, dependabot config, kilo.json, lintr/styler config.

mirror server hosted at Truenetwork, Russian Federation.