tftsr-devops_investigation/node_modules/execa/lib/transform/normalize.js
Shaun Arman 8839075805 feat: initial implementation of TFTSR IT Triage & RCA application
Implements Phases 1-8 of the TFTSR implementation plan.

Rust backend (Tauri 2.x, src-tauri/):
- Multi-provider AI: OpenAI-compatible, Anthropic, Gemini, Mistral, Ollama
- PII detection engine: 11 regex patterns with overlap resolution
- SQLCipher AES-256 encrypted database with 10 versioned migrations
- 28 Tauri IPC commands for triage, analysis, document, and system ops
- Ollama: hardware probe, model recommendations, pull/delete with events
- RCA and blameless post-mortem Markdown document generators
- PDF export via printpdf
- Audit log: SHA-256 hash of every external data send
- Integration stubs for Confluence, ServiceNow, Azure DevOps (v0.2)

Frontend (React 18 + TypeScript + Vite, src/):
- 9 pages: full triage workflow NewIssue→LogUpload→Triage→Resolution→RCA→Postmortem→History+Settings
- 7 components: ChatWindow, TriageProgress, PiiDiffViewer, DocEditor, HardwareReport, ModelSelector, UI primitives
- 3 Zustand stores: session, settings (persisted), history
- Type-safe tauriCommands.ts matching Rust backend types exactly
- 8 IT domain system prompts (Linux, Windows, Network, K8s, DB, Virt, HW, Obs)

DevOps:
- .woodpecker/test.yml: rustfmt, clippy, cargo test, tsc, vitest on every push
- .woodpecker/release.yml: linux/amd64 + linux/arm64 builds, Gogs release upload

Verified:
- cargo check: zero errors
- tsc --noEmit: zero errors
- vitest run: 13/13 unit tests passing

Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
2026-03-14 22:36:25 -05:00

112 lines
3.2 KiB
JavaScript

import isPlainObj from 'is-plain-obj';
import {BINARY_ENCODINGS} from '../arguments/encoding-option.js';
import {TRANSFORM_TYPES} from '../stdio/type.js';
import {getTransformObjectModes} from './object-mode.js';
// Transforms generators/duplex/TransformStream can have multiple shapes.
// This normalizes it and applies default values.
export const normalizeTransforms = (stdioItems, optionName, direction, options) => [
...stdioItems.filter(({type}) => !TRANSFORM_TYPES.has(type)),
...getTransforms(stdioItems, optionName, direction, options),
];
const getTransforms = (stdioItems, optionName, direction, {encoding}) => {
const transforms = stdioItems.filter(({type}) => TRANSFORM_TYPES.has(type));
const newTransforms = Array.from({length: transforms.length});
for (const [index, stdioItem] of Object.entries(transforms)) {
newTransforms[index] = normalizeTransform({
stdioItem,
index: Number(index),
newTransforms,
optionName,
direction,
encoding,
});
}
return sortTransforms(newTransforms, direction);
};
const normalizeTransform = ({stdioItem, stdioItem: {type}, index, newTransforms, optionName, direction, encoding}) => {
if (type === 'duplex') {
return normalizeDuplex({stdioItem, optionName});
}
if (type === 'webTransform') {
return normalizeTransformStream({
stdioItem,
index,
newTransforms,
direction,
});
}
return normalizeGenerator({
stdioItem,
index,
newTransforms,
direction,
encoding,
});
};
const normalizeDuplex = ({
stdioItem,
stdioItem: {
value: {
transform,
transform: {writableObjectMode, readableObjectMode},
objectMode = readableObjectMode,
},
},
optionName,
}) => {
if (objectMode && !readableObjectMode) {
throw new TypeError(`The \`${optionName}.objectMode\` option can only be \`true\` if \`new Duplex({objectMode: true})\` is used.`);
}
if (!objectMode && readableObjectMode) {
throw new TypeError(`The \`${optionName}.objectMode\` option cannot be \`false\` if \`new Duplex({objectMode: true})\` is used.`);
}
return {
...stdioItem,
value: {transform, writableObjectMode, readableObjectMode},
};
};
const normalizeTransformStream = ({stdioItem, stdioItem: {value}, index, newTransforms, direction}) => {
const {transform, objectMode} = isPlainObj(value) ? value : {transform: value};
const {writableObjectMode, readableObjectMode} = getTransformObjectModes(objectMode, index, newTransforms, direction);
return ({
...stdioItem,
value: {transform, writableObjectMode, readableObjectMode},
});
};
const normalizeGenerator = ({stdioItem, stdioItem: {value}, index, newTransforms, direction, encoding}) => {
const {
transform,
final,
binary: binaryOption = false,
preserveNewlines = false,
objectMode,
} = isPlainObj(value) ? value : {transform: value};
const binary = binaryOption || BINARY_ENCODINGS.has(encoding);
const {writableObjectMode, readableObjectMode} = getTransformObjectModes(objectMode, index, newTransforms, direction);
return {
...stdioItem,
value: {
transform,
final,
binary,
preserveNewlines,
writableObjectMode,
readableObjectMode,
},
};
};
const sortTransforms = (newTransforms, direction) => direction === 'input' ? newTransforms.reverse() : newTransforms;