- AliasHandler: normalise model-generated flag casing (--userId → --user-id) - StickyHandler: split glued flag values (--limit100 → --limit 100) - ParamNameHandler: fix near-miss flag typos (--limt → --limit) - ParamValueHandler: normalise structured parameter values after parsing
165 lines
4.1 KiB
Go
165 lines
4.1 KiB
Go
// Copyright 2026 Alibaba Group
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package handlers
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import (
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"strings"
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"github.com/DingTalk-Real-AI/dingtalk-workspace-cli/internal/pipeline"
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)
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// ParamNameHandler performs fuzzy correction on flag names that are
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// not recognised after alias normalisation. It uses Levenshtein edit
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// distance to find the closest known flag name, with a conservative
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// threshold to avoid false positives.
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//
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// Correction rules:
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// - Edit distance must be ≤ maxEditDistance (default 2).
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// - The match must be unambiguous (exactly one candidate within threshold).
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// - Very short flag names (≤ 3 chars) use a tighter threshold of 1.
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//
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// This handler should run after AliasHandler in the PreParse phase
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// so that obvious normalisation (camelCase → kebab-case) is already
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// done and fuzzy matching only handles genuine near-misses.
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type ParamNameHandler struct{}
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const maxEditDistance = 2
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func (ParamNameHandler) Name() string { return "paramname" }
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func (ParamNameHandler) Phase() pipeline.Phase { return pipeline.PreParse }
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func (ParamNameHandler) Handle(ctx *pipeline.Context) error {
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if len(ctx.Args) == 0 || len(ctx.FlagSpecs) == 0 {
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return nil
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}
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known := buildFlagSet(ctx.FlagSpecs)
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names := make([]string, 0, len(ctx.FlagSpecs))
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for _, spec := range ctx.FlagSpecs {
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if spec.Name != "" {
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names = append(names, spec.Name)
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}
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}
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result := make([]string, 0, len(ctx.Args))
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for _, arg := range ctx.Args {
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rewritten, ok := tryFuzzyMatch(arg, known, names)
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if ok {
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ctx.AddCorrection("paramname", pipeline.PreParse, rewritten, arg, rewritten, "fuzzy")
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result = append(result, rewritten)
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} else {
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result = append(result, arg)
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}
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}
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ctx.Args = result
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return nil
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}
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// tryFuzzyMatch attempts to correct an unrecognised "--flag" token by
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// finding the closest known flag name within the edit distance threshold.
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func tryFuzzyMatch(arg string, known map[string]bool, candidates []string) (string, bool) {
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if !strings.HasPrefix(arg, "--") {
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return "", false
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}
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bare := arg[2:]
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if bare == "" {
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return "", false
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}
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// Handle --flag=value syntax.
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var suffix string
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if idx := strings.IndexByte(bare, '='); idx >= 0 {
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suffix = bare[idx:]
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bare = bare[:idx]
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}
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// Already known — nothing to fix.
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if known[bare] {
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return "", false
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}
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threshold := maxEditDistance
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if len(bare) <= 3 {
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threshold = 1
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}
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bestDist := threshold + 1
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bestMatch := ""
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ambiguous := false
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for _, candidate := range candidates {
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dist := levenshtein(bare, candidate)
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if dist < bestDist {
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bestDist = dist
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bestMatch = candidate
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ambiguous = false
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} else if dist == bestDist && candidate != bestMatch {
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ambiguous = true
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}
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}
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if bestDist > threshold || ambiguous || bestMatch == "" {
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return "", false
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}
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return "--" + bestMatch + suffix, true
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}
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// levenshtein computes the edit distance between two strings using
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// the standard dynamic programming approach with O(min(m,n)) space.
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func levenshtein(a, b string) int {
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if a == b {
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return 0
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}
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la, lb := len(a), len(b)
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if la == 0 {
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return lb
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}
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if lb == 0 {
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return la
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}
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// Ensure a is the shorter string for O(min) space.
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if la > lb {
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a, b = b, a
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la, lb = lb, la
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}
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prev := make([]int, la+1)
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curr := make([]int, la+1)
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for i := range prev {
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prev[i] = i
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}
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for j := 1; j <= lb; j++ {
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curr[0] = j
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for i := 1; i <= la; i++ {
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cost := 1
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if a[i-1] == b[j-1] {
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cost = 0
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}
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curr[i] = min(
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prev[i]+1, // deletion
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curr[i-1]+1, // insertion
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prev[i-1]+cost, // substitution
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)
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}
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prev, curr = curr, prev
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}
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return prev[la]
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}
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