mirror of
https://github.com/OrcaSlicer/OrcaSlicer.git
synced 2026-10-18 13:10:54 +00:00
* Add orca-translations Claude skill and PO tool
Add a .claude skill that guides translation passes over the localization/i18n gettext catalogs. It covers the workflow: run gettext, settle new glossary terms, translate in batches, verify, and report.
Includes translation-rules.md, which condenses the placeholder, line-break and glossary rules plus the guidance on review notes.
Also adds scripts/po_tool.py (standard library only). It lists pending entries with glossary hints, validates and applies translations, adding '# AI Translated' and '# Needs human review' comments, and rewrites only the entries it changes. It can also check catalogs, look up existing translations, suggest glossary candidates and update the wiki glossary TSV.
* Let po_tool apply translations by entry id
pending now gives each entry a short id, so a translation file can name
entries by id instead of repeating the English msgid. apply accepts either.
A "review": "" item clears an earlier review note when overwriting an
entry, and check gives each msgfmt run its own temporary output file so
parallel checks do not collide.
* Fill all empty translations
Regenerate the template with run_gettext --full and translate every empty
entry in the 22 catalogs (7,089 entries) with the orca-translations skill,
following the localization glossary, including the new belt printer,
IDEX/IQEX and plugin terms. Every new entry is marked "# AI Translated";
122 also carry "# Needs human review" with what to check.
* Show entry ids in po_tool lookup and search translations
lookup now prints each entry's id, so an entry found there can be
rewritten with apply --overwrite without repeating the English, and
--msgstr searches the translations instead of the msgids, which finds
every entry that still uses a term being changed.
SKILL.md describes how to change an established term: check the
catalog's usage first, update the glossary cell, then rewrite only the
entries where the term has that meaning.
* Fix mistranslated terms and align catalogs with the glossary
Correct labels that the glossary had copied, and the entries that used
them:
- ca: Raft was rendered as the Brim term; it is now "Rai". Exhaust fan,
Monotonic line, Unretract, Slice, Lateral Honeycomb and PA Tower
labels fixed.
- cs: Lightning infill is "Blesk", not "Osvětlení" (illumination).
- sv: Retraction is "Retraktion", not "Reduktion"; Unretract,
Lagerhöjd, Delkylningsfläkt, Utsugsfläkt, Aligned Rectilinear and the
Preset label fixed.
- de: Brim is "Rand" and Skirt is "Umrandung", as most entries already
had them.
- lt: brim entries used the Skirt word "apvadas"; they now use "kraštas".
- es: Sparse infill is "relleno de baja densidad", the catalog majority.
- eu: nozzle wipe is "garbiketa", not purge.
- th: the project plate is "เพลต", distinct from the bed.
- uk: Quarter Cubic, Latin "PA" in PA Tower, and Belt purge tower.
- pl: Cross Hatch, Tri-hexagon, Volumetric speed and Raft labels.
- zh_TW: Brim stays "Brim", as the existing labels have it.
- tr: "Prime Tower" read "Prime Minister Tower".
- ko: the plugin "Capabilities" label read "performance".
- Build Volume labels fixed in tr, de, cs and eu.
All 242 rewritten entries are marked "# AI Translated".
* Make more UI text translatable and fix pluralization and context
Audit the sources for text that translators could not translate
correctly and fix it.
Mark text that reached users in English only: IDEX/IQEX role names,
plugin permission prompts and errors, 3MF/preset loading errors, G-code
placeholder parser errors, calibration and device messages, notification
texts, file dialog filters, and the config validation messages.
Replace sentences built from translated fragments, such as the prime
tower warnings, "left"/"right" nozzle names, and "Filament " + number,
with single msgids that have placeholders, so translators can reorder
and inflect them.
Use plural forms for texts with a count ("%1% mixed filaments",
"%d objects", "%1% triangles") instead of "(s)" and mismatched verbs.
Fix the swapped singular/plural pair in "The following presets inherit
this preset".
Add translation contexts where one English word has several meanings
(Subscribed/Local, Standard, Pause, View, Step, Model, Camera, Flow,
Filter, Others, Prepare, the Design tools). Show "Size" instead of
"Build Volume" in the Cut tool, which displays the object size.
Fix code that compared translated text with English (the Edit G-code
dialog group, the plugin registration failure check), and add the
bundled web pages' missing string-table entries. Use the single
character for degrees Celsius, say "G-code", and describe the head
filament map without internal jargon.
Install the libslic3r translate callback before the presets load, so
their load errors are translated, and list the 28 source files that had
marked strings but were never extracted into localization/i18n/list.txt.
* Suggest earlier translations and list fuzzy entries in po_tool pending
pending now attaches the closest earlier translation of a similar
English text (from obsolete or translated entries), so a reworded or
split string keeps its wording, and it lists fuzzy entries by default,
since users never see them. A fuzzy entry also carries its stale
translation as previous_translation.
* Fix wording of the non-boolean operands error
The logical operation error said "operators" where it means the
operands the operation was applied to.
* Translate the newly translatable strings in all languages
Regenerate the template after the translatability changes and fill every
new or changed entry in the 22 catalogs (about 12,800 entries): the
strings that became translatable, the plural forms, the entries split by
context, and the previously fuzzy singular entries that became plurals.
Every new entry is marked "# AI Translated", and about 360 also carry a
"# Needs human review" note saying what to check. Terms follow the
localization glossary. Earlier translations of reworded strings were
reused where the meaning was unchanged. Existing entries were not
changed, and obsolete entries are kept.
* Document the source translatability audit in the orca-translations skill
Add a reference describing how strings reach translators, what to look
for (untranslated text, spliced sentences, missing plurals, ambiguous
words), what not to translate, where a context cannot be carried, and
what to do after the edits, plus a scanner that lists untranslated
user-facing string literals.
* Document how to write translatable strings in AGENTS.md
Tell developers to keep each message complete in one msgid: use
placeholders instead of concatenating translated fragments, plural forms
for counts, and contexts for ambiguous words, and to list new source
files in localization/i18n/list.txt. Add a matching code review item.
* Translate the strings added since the rebase
Regenerate the template against the current main and translate the 26
new entries per language: the Fix Model commands and messages, and the
texture displacement image adjustment panel. Each new entry is marked
"# AI Translated"; existing entries are unchanged.
* tidy
871 lines
37 KiB
Python
871 lines
37 KiB
Python
#!/usr/bin/env python3
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"""Translation helper for the OrcaSlicer gettext catalogs and the wiki glossary.
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Standard library only. Edits a catalog in place, rewriting just the entries it
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changes in the layout `msgmerge --no-wrap` writes, so every other byte stays put.
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status [--lang L ...] per-catalog counts
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pending --lang L [--offset N --limit N] [--out FILE] [--no-include-fuzzy] (adds similar earlier translations)
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apply --lang L --input FILE [--overwrite] [--dry-run] adds "# AI Translated"
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check [--lang L ...] [--scope ai|all] [--warnings]
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lookup --lang L PATTERN [--msgstr] existing translations with ids, obsolete ones included
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glossary --lang L [TERM] the language's glossary column and notes
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candidates [--min-count N] [--limit N] recurring untranslated phrases not in the glossary
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glossary-set --term T [--description D] --set L=VALUE ... [--replace]
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The glossary is read from an OrcaSlicer_WIKI clone (--wiki, $ORCA_WIKI_DIR, or a
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sibling of this repository). Without one it is downloaded read-only, and
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glossary-set refuses to run.
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"""
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import argparse
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import hashlib
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import json
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import os
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import re
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import subprocess
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import sys
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import tempfile
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import time
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import unicodedata
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import urllib.request
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from pathlib import Path
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REPO = Path(__file__).resolve().parents[4]
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I18N = REPO / "localization" / "i18n"
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SKIP_LANGS = {"en"} # the English catalog is intentionally empty
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GLOSSARY_TSV = Path("developer_reference") / "localization_glossary.tsv"
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GLOSSARY_MD = Path("developer_reference") / "localization_glossary.md"
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MISSING = {"", "—"}
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RAW_URL = "https://raw.githubusercontent.com/OrcaSlicer/OrcaSlicer_WIKI/main/"
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AI_TAG = "AI Translated"
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REVIEW_TAG = "Needs human review:"
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# ---------------------------------------------------------------------------
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# PO parsing and writing
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_UNESCAPE = {"n": "\n", "t": "\t", "r": "\r", "a": "\a", "b": "\b", "f": "\f", "v": "\v", '"': '"', "\\": "\\"}
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_ESCAPE = {v: "\\" + k for k, v in _UNESCAPE.items()}
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def unescape(s):
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return re.sub(r'\\(.)', lambda m: _UNESCAPE.get(m.group(1), m.group(0)), s)
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def escape(s):
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return "".join(_ESCAPE.get(c, c) for c in s)
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def format_field(keyword, value, prefix=""):
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"""Lines for `keyword "value"` as msgmerge --no-wrap writes them."""
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parts = value.split("\n")
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segments = [p + "\n" for p in parts[:-1]] + ([parts[-1]] if parts[-1] else [])
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if len(segments) <= 1:
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return [f'{prefix}{keyword} "{escape(value)}"']
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return [f'{prefix}{keyword} ""'] + [f'{prefix}"{escape(s)}"' for s in segments]
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class Entry:
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"""One blank-line-delimited block of a PO file."""
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def __init__(self, lines, first_line):
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self.lines = lines
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self.first_line = first_line # 0-based index in the file
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self.obsolete = all(l.startswith("#~") for l in lines if not l.startswith("#") or l.startswith("#~"))
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self.tcomments, self.xcomments, self.flags = [], [], []
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self.fields = {} # keyword -> [value, start, end)
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self.order = []
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current = None
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for i, raw in enumerate(lines):
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line = raw
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if self.obsolete and line.startswith("#~"):
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line = line[2:].lstrip(" ")
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if line.startswith("|"):
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current = None
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continue
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elif line.startswith("#"):
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current = None
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if line.startswith("#."):
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self.xcomments.append(line[2:].strip())
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elif line.startswith("#,"):
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self.flags += [f.strip() for f in line[2:].split(",") if f.strip()]
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elif line == "#" or line.startswith("# "):
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self.tcomments.append(line[2:])
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continue
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m = re.match(r'^(msgctxt|msgid_plural|msgid|msgstr(?:\[\d+\])?)\s+"(.*)"\s*$', line)
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if m:
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current = m.group(1)
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self.fields[current] = [unescape(m.group(2)), i, i + 1]
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self.order.append(current)
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elif line.startswith('"') and current:
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self.fields[current][0] += unescape(line.strip()[1:-1])
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self.fields[current][2] = i + 1
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def get(self, key, default=None):
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f = self.fields.get(key)
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return f[0] if f else default
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@property
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def msgctxt(self):
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return self.get("msgctxt")
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@property
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def msgid(self):
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return self.get("msgid", "")
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@property
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def msgid_plural(self):
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return self.get("msgid_plural")
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@property
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def is_header(self):
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return self.msgid == "" and "msgid" in self.fields and not self.msgctxt
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def msgstrs(self):
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if self.msgid_plural is None:
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return [self.get("msgstr", "")]
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idx = sorted(int(k[7:-1]) for k in self.fields if k.startswith("msgstr["))
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return [self.get(f"msgstr[{i}]", "") for i in range(max(idx) + 1)] if idx else []
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@property
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def fuzzy(self):
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return "fuzzy" in self.flags
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@property
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def ai(self):
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return any(c.strip() == AI_TAG for c in self.tcomments)
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@property
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def review(self):
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return [c for c in self.tcomments if c.startswith(REVIEW_TAG)]
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def key(self):
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return (self.msgctxt, self.msgid)
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def id(self):
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"""Short stable handle, so a translation file need not repeat the English."""
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return hashlib.sha1(f"{self.msgctxt or ''}\x04{self.msgid}".encode("utf-8")).hexdigest()[:10]
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def rewrite(self, msgstrs, ai=True, review=None):
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"""Replace the translation; add the AI and review comments; clear fuzzy."""
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lines = list(self.lines)
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# translations
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keys = [k for k in self.order if k.startswith("msgstr")]
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start = min(self.fields[k][1] for k in keys)
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end = max(self.fields[k][2] for k in keys)
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if self.msgid_plural is None:
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new = format_field("msgstr", msgstrs[0])
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else:
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new = [l for i, s in enumerate(msgstrs) for l in format_field(f"msgstr[{i}]", s)]
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lines[start:end] = new
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# flags and previous-msgid lines of a fuzzy entry
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out = []
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for line in lines:
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if line.startswith("#,"):
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flags = [f.strip() for f in line[2:].split(",") if f.strip() and f.strip() != "fuzzy"]
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if flags:
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out.append("#, " + ", ".join(flags))
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continue
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if line.startswith("#|") and self.fuzzy:
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continue
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out.append(line)
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lines = out
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# translator comments go first, before #. #: #,
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pos = 0
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while pos < len(lines) and (lines[pos] == "#" or lines[pos].startswith("# ")):
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pos += 1
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add = []
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if review is not None: # "" clears an earlier note, a reason replaces it
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lines = [l for l in lines if not l.startswith("# " + REVIEW_TAG)]
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pos = 0
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while pos < len(lines) and (lines[pos] == "#" or lines[pos].startswith("# ")):
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pos += 1
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if ai and not any(l == "# " + AI_TAG for l in lines[:pos]):
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add.append("# " + AI_TAG)
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if review:
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add.append(f"# {REVIEW_TAG} {' '.join(review.split())}")
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lines[pos:pos] = add
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return lines
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class Catalog:
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def __init__(self, path):
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self.path = Path(path)
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data = self.path.read_bytes()
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self.bom = data.startswith(b"\xef\xbb\xbf")
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text = data.decode("utf-8-sig")
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self.newline = "\r\n" if "\r\n" in text else "\n"
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self.trailing = text.endswith(("\n", "\r"))
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self.lines = text.splitlines()
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self.entries = []
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block, first = [], 0
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for i, line in enumerate(self.lines + [""]):
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if line.strip() == "":
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if block:
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self.entries.append(Entry(block, first))
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block = []
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else:
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if not block:
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first = i
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block.append(line)
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self.header = next((e for e in self.entries if e.is_header), None)
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m = re.search(r"nplurals\s*=\s*(\d+)", self.header.msgstrs()[0] if self.header else "")
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self.nplurals = int(m.group(1)) if m else 2
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self.changes = {} # entry index -> new lines
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def active(self):
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return [e for e in self.entries if not e.obsolete and not e.is_header]
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def index(self):
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return {e.key(): i for i, e in enumerate(self.entries) if not e.obsolete and not e.is_header}
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def save(self):
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lines = list(self.lines)
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for i in sorted(self.changes, reverse=True):
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e = self.entries[i]
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lines[e.first_line:e.first_line + len(e.lines)] = self.changes[i]
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text = self.newline.join(lines) + (self.newline if self.trailing else "")
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self.path.write_bytes((b"\xef\xbb\xbf" if self.bom else b"") + text.encode("utf-8"))
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def needs_translation(e, nplurals, include_fuzzy=False):
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strs = e.msgstrs()
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if e.msgid_plural is not None and len(strs) < nplurals:
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return True
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return any(s == "" for s in strs) or (include_fuzzy and e.fuzzy)
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def catalog_path(lang):
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p = I18N / lang / f"OrcaSlicer_{lang}.po"
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if not p.exists():
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sys.exit(f"no catalog for '{lang}': {p}")
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return p
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def all_langs():
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return sorted(d.name for d in I18N.iterdir() if (d / f"OrcaSlicer_{d.name}.po").exists() and d.name not in SKIP_LANGS)
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# ---------------------------------------------------------------------------
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# Glossary
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def find_wiki(arg):
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for cand in [arg, os.environ.get("ORCA_WIKI_DIR"), REPO.parent / "OrcaSlicer_WIKI", REPO.parent / "OrcaSlicer.wiki"]:
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if cand and (Path(cand) / GLOSSARY_TSV).exists():
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return Path(cand)
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return None
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def _download(rel):
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cache = Path(tempfile.gettempdir()) / ("orca_glossary_" + rel.name)
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if not cache.exists() or time.time() - cache.stat().st_mtime > 3600:
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with urllib.request.urlopen(RAW_URL + rel.as_posix(), timeout=30) as r:
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cache.write_bytes(r.read())
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return cache
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class Glossary:
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def __init__(self, wiki_arg=None, quiet=False):
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self.wiki = find_wiki(wiki_arg)
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if self.wiki:
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self.tsv, self.md = self.wiki / GLOSSARY_TSV, self.wiki / GLOSSARY_MD
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if not quiet:
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self.report_clone_state()
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else:
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if not quiet:
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print("note: no OrcaSlicer_WIKI clone found; using the published glossary read-only", file=sys.stderr)
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self.tsv, self.md = _download(GLOSSARY_TSV), _download(GLOSSARY_MD)
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self.load()
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def report_clone_state(self):
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git = lambda *args: subprocess.run(["git", "-C", str(self.wiki), *args], capture_output=True, text=True).stdout.strip()
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try:
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branch = git("rev-parse", "--abbrev-ref", "HEAD")
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behind = git("rev-list", "--count", "HEAD..origin/main")
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except OSError:
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return
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if branch and branch != "main":
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print(f"note: glossary read from wiki branch '{branch}', not main", file=sys.stderr)
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if behind and behind != "0":
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print(f"note: the wiki clone is {behind} commits behind origin/main (as of its last fetch)", file=sys.stderr)
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def load(self):
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rows = [l.split("\t") for l in self.tsv.read_text(encoding="utf-8-sig").splitlines() if l.strip()]
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self.header = rows[0]
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# "—" marks a language with no established rendering yet
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self.rows = [[c if c.strip() not in MISSING else "" for c in r] + [""] * (len(rows[0]) - len(r)) for r in rows[1:]]
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self.matchers = []
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for row in self.rows:
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base = re.sub(r"\s*\([^)]*\)\s*$", "", row[0]).strip()
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alts = [a.strip() for a in base.split(" / ") if a.strip()]
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pats = [re.compile(r"(?<![\w-])" + r"[\s-]+".join(map(re.escape, a.split())) + r"(?:s|es)?(?![\w-])", re.I) for a in alts]
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self.matchers.append((row, pats))
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def column(self, lang):
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return self.header.index(lang) if lang in self.header else None
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def matches(self, text):
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"""Glossary rows found in text, without terms only seen inside a longer match."""
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spans = []
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for row, pats in self.matchers:
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for p in pats:
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spans += [(m.start(), m.end(), row) for m in p.finditer(text)]
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keep = []
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for row in {id(r): r for _, _, r in spans}.values():
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mine = [(s, e) for s, e, r in spans if r is row]
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if any(not any(s2 <= s and e <= e2 and (e2 - s2) > (e - s) for s2, e2, r2 in spans if r2 is not row) for s, e in mine):
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keep.append(row)
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return keep
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def hints(self, text, lang):
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col = self.column(lang)
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return [{"term": r[0], "translation": (r[col] if col is not None else "") or None, "description": r[1]} for r in self.matches(text)]
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def language_notes(self, lang):
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text = self.md.read_text(encoding="utf-8-sig")
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m = re.search(r"^### [^\n]*\(" + re.escape(lang) + r"\)\s*$(.*?)(?=^##|\Z)", text, re.M | re.S)
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return m.group(0).strip() if m else None
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def _norm(s):
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s = unicodedata.normalize("NFD", s.casefold())
|
|
return "".join(c for c in s if unicodedata.category(c) != "Mn")
|
|
|
|
|
|
def glossary_ok(msgstr, translation):
|
|
"""Loose check that a glossary rendering appears in msgstr, tolerating inflection."""
|
|
target = _norm(msgstr)
|
|
for alt in re.split(r"\s*/\s*", re.sub(r"\([^)]*\)|⚠", "", translation)):
|
|
words = [w for w in re.findall(r"\w+", _norm(alt)) if len(w) > 2] or re.findall(r"\w+", _norm(alt))
|
|
if not words:
|
|
return True
|
|
if all(w in target or (len(w) > 4 and w[:max(4, len(w) * 2 // 3)] in target) for w in words):
|
|
return True
|
|
return False
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Validation
|
|
|
|
C_FMT = re.compile(r"%(?:(\d+)\$)?[-+ #0']*(?:\d+|\*)?(?:\.(?:\d+|\*))?(?:hh|h|ll|l|L|q|j|z|Z|t)?[diouxXeEfFgGaAcspn]")
|
|
BOOST_FMT = re.compile(r"%\d+%")
|
|
TAG = re.compile(r"</?[A-Za-z][^<>]*>")
|
|
SNAKE = re.compile(r"[a-z][a-z0-9]*(?:_[a-z0-9]+)+")
|
|
IDENT = re.compile(r"\b[a-z][a-z0-9]*(?:_[a-z0-9]+)+\b|\b[GM]\d{1,4}\b|\{[A-Za-z_][\w.\[\]]*\}|\[[a-z_]+\]")
|
|
END = re.compile(r"[.:?!。:?!]$")
|
|
|
|
|
|
def _placeholders(s, flags):
|
|
s = s.replace("%%", "")
|
|
boost = BOOST_FMT.findall(s)
|
|
s2 = BOOST_FMT.sub("", s) if "boost-format" in flags or boost else s
|
|
c = [m.group(0) for m in C_FMT.finditer(s2)] if "no-c-format" not in flags else []
|
|
return boost, c
|
|
|
|
|
|
def validate(e, msgstrs, nplurals, glossary=None, lang=None):
|
|
"""Return (errors, warnings) for a proposed translation of entry e."""
|
|
errors, warnings = [], []
|
|
flags = set(e.flags)
|
|
if e.msgid_plural is not None and len(msgstrs) != nplurals:
|
|
errors.append(f"plural entry needs {nplurals} forms, got {len(msgstrs)}")
|
|
for i, s in enumerate(msgstrs):
|
|
src = e.msgid if (e.msgid_plural is None or (i == 0 and nplurals > 1)) else e.msgid_plural
|
|
tag = f"[{i}] " if e.msgid_plural is not None else ""
|
|
if not s:
|
|
errors.append(f"{tag}empty translation")
|
|
continue
|
|
b1, c1 = _placeholders(src, flags)
|
|
b2, c2 = _placeholders(s, flags)
|
|
positional = any("$" in p for p in c1)
|
|
c_bad = sorted(c1) != sorted(c2) if positional else c1 != c2
|
|
bad = []
|
|
if sorted(b1) != sorted(b2):
|
|
bad.append(f"boost placeholders {b1} -> {b2}")
|
|
if c_bad:
|
|
bad.append(f"printf placeholders {c1} -> {c2}" + ("" if positional else " (order must match)"))
|
|
if bad:
|
|
strict = flags & {"c-format", "boost-format"} and not (e.msgid_plural is not None and i == 0 and nplurals > 1 and not c2 and not b2)
|
|
(errors if strict else warnings).extend(tag + b for b in bad)
|
|
if s.count("%%") != src.count("%%") and "c-format" in flags:
|
|
errors.append(f"{tag}'%%' count differs")
|
|
if src.count("\n") != s.count("\n"):
|
|
errors.append(f"{tag}line breaks: {src.count(chr(10))} in source, {s.count(chr(10))} in translation")
|
|
else:
|
|
lead = lambda t: len(t) - len(t.lstrip("\n"))
|
|
trail = lambda t: len(t) - len(t.rstrip("\n"))
|
|
if lead(src) != lead(s) or trail(src) != trail(s):
|
|
errors.append(f"{tag}leading/trailing line breaks differ")
|
|
ls = lambda t: re.match(r"[ \t]*", t.strip("\n")).group(0)
|
|
ts = lambda t: re.search(r"[ \t]*$", t.strip("\n")).group(0)
|
|
if ls(src) != ls(s) or ts(src) != ts(s):
|
|
errors.append(f"{tag}leading/trailing spaces differ")
|
|
if sorted(TAG.findall(src)) != sorted(TAG.findall(s)):
|
|
errors.append(f"{tag}HTML tags {TAG.findall(src)} -> {TAG.findall(s)}")
|
|
if src.count("℃") != s.count("℃"):
|
|
errors.append(f"{tag}'℃' count differs (keep U+2103, not °C)")
|
|
missing = [t for t in set(IDENT.findall(src)) if t not in s]
|
|
tokens = [t for t in missing if not SNAKE.fullmatch(t)]
|
|
if tokens:
|
|
errors.append(f"{tag}tokens must stay verbatim: {tokens}")
|
|
if len(tokens) < len(missing): # snake_case is usually a setting key, sometimes a label
|
|
warnings.append(f"{tag}snake_case kept? {[t for t in missing if SNAKE.fullmatch(t)]}")
|
|
e1, e2 = END.search(src.rstrip()), END.search(s.rstrip())
|
|
if bool(e1) != bool(e2) and lang != "th": # Thai has no sentence-final period
|
|
warnings.append(f"{tag}ending punctuation: source {'ends with ' + repr(e1.group(0)) if e1 else 'has none'}, translation {'ends with ' + repr(e2.group(0)) if e2 else 'has none'}")
|
|
if s == src and len(src.split()) >= 3:
|
|
warnings.append(f"{tag}identical to the English")
|
|
if glossary and lang:
|
|
# Rows sharing a base term ("Seam", "Seam (UV)") are competing senses; one is enough.
|
|
# A match on qualified rows only ("Feature (Design)") may be another sense entirely.
|
|
for base, senses in group_senses(glossary.hints(src, lang)).items():
|
|
if all(h["term"] != base for h in senses) or not strong_match(src, base):
|
|
continue
|
|
if not any(glossary_ok(s, h["translation"]) for h in senses):
|
|
wanted = " or ".join(f"'{h['translation']}' ({h['term']})" for h in senses)
|
|
warnings.append(f"{tag}glossary: expected {wanted}")
|
|
return errors, warnings
|
|
|
|
|
|
def strong_match(src, base):
|
|
"""Whether a term is surely meant as the glossary term, not as everyday English
|
|
("each part of a frame"): a multi-word term, a short label, or capitalised mid-sentence."""
|
|
if any(" " in alt for alt in base.split(" / ")) or len(src.split()) <= 5:
|
|
return True
|
|
for alt in base.split(" / "):
|
|
for m in re.finditer(r"(?<![\w-])" + re.escape(alt) + r"(?:s|es)?(?![\w-])", src, re.I):
|
|
if m.group(0)[0].isupper() and not re.search(r"(^|[.!?:]\s+|\n)$", src[:m.start()]):
|
|
return True
|
|
return False
|
|
|
|
|
|
def base_term(term):
|
|
return re.sub(r"\s*\([^)]*\)\s*$", "", term).strip()
|
|
|
|
|
|
def group_senses(hints):
|
|
groups = {}
|
|
for h in hints:
|
|
if h["translation"]:
|
|
groups.setdefault(base_term(h["term"]), []).append(h)
|
|
return groups
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Commands
|
|
|
|
def out_json(obj, path):
|
|
text = json.dumps(obj, ensure_ascii=False, indent=1)
|
|
if path:
|
|
Path(path).write_text(text + "\n", encoding="utf-8")
|
|
print(f"wrote {path}")
|
|
else:
|
|
sys.stdout.write(text + "\n")
|
|
|
|
|
|
def cmd_status(a):
|
|
print(f"{'lang':7} {'active':>7} {'empty':>6} {'plural':>6} {'fuzzy':>6} {'AI':>6} {'review':>6}")
|
|
for lang in a.lang or all_langs():
|
|
c = Catalog(catalog_path(lang))
|
|
act = c.active()
|
|
empty = sum(1 for e in act if needs_translation(e, c.nplurals) and e.msgid_plural is None)
|
|
plural = sum(1 for e in act if needs_translation(e, c.nplurals) and e.msgid_plural is not None)
|
|
print(f"{lang:7} {len(act):7} {empty:6} {plural:6} {sum(e.fuzzy for e in act):6} {sum(e.ai for e in act):6} {sum(bool(e.review) for e in act):6}")
|
|
|
|
|
|
def similar_entries(c, e, pool, cutoff=0.72):
|
|
"""The closest earlier translation of a similar English text: obsolete entries and translated
|
|
active ones. A reworded or split string usually still has one, and reusing it keeps the wording."""
|
|
import difflib
|
|
sm = difflib.SequenceMatcher(autojunk=False)
|
|
sm.set_seq2(e.msgid)
|
|
best = []
|
|
for other, msgstr, obsolete in pool:
|
|
sm.set_seq1(other)
|
|
if sm.real_quick_ratio() < cutoff or sm.quick_ratio() < cutoff:
|
|
continue
|
|
r = sm.ratio()
|
|
if r >= cutoff and other != e.msgid:
|
|
best.append((r, other, msgstr, obsolete))
|
|
best.sort(key=lambda t: -t[0])
|
|
return [{"msgid": o, "msgstr": s, "obsolete": ob, "similarity": round(r, 2)} for r, o, s, ob in best[:2]]
|
|
|
|
|
|
def cmd_pending(a):
|
|
c = Catalog(catalog_path(a.lang))
|
|
g = Glossary(a.wiki)
|
|
todo = [e for e in c.active() if needs_translation(e, c.nplurals, a.include_fuzzy)]
|
|
batch = todo[a.offset:a.offset + a.limit] if a.limit else todo[a.offset:]
|
|
pool = [(x.msgid, x.msgstrs()[0], x.obsolete) for x in c.entries
|
|
if not x.is_header and x.msgstrs() and x.msgstrs()[0] and not x.fuzzy and 8 < len(x.msgid) < 600]
|
|
items = []
|
|
for e in batch:
|
|
item = {"id": e.id(), "msgctxt": e.msgctxt, "msgid": e.msgid}
|
|
if e.msgid_plural is not None:
|
|
item["msgid_plural"] = e.msgid_plural
|
|
item["msgstr_plural"] = (e.msgstrs() + [""] * c.nplurals)[:c.nplurals]
|
|
else:
|
|
item["msgstr"] = e.msgstrs()[0]
|
|
if e.xcomments:
|
|
item["note"] = " ".join(e.xcomments)
|
|
flags = [f for f in e.flags if f != "fuzzy"]
|
|
if flags:
|
|
item["flags"] = flags
|
|
if e.fuzzy:
|
|
item["fuzzy"] = True
|
|
if e.msgstrs()[0]:
|
|
item["previous_translation"] = e.msgstrs()[0]
|
|
if len(e.msgid) > 8:
|
|
sim = similar_entries(c, e, pool)
|
|
if sim:
|
|
item["similar"] = sim
|
|
hints = g.hints(e.msgid + "\n" + (e.msgid_plural or ""), a.lang)
|
|
if hints:
|
|
# Descriptions only where the sense must be chosen or no rendering exists yet.
|
|
bases = [base_term(h["term"]) for h in hints]
|
|
item["glossary"] = [{k: v for k, v in h.items() if k != "description" or not h["translation"] or bases.count(b) > 1 or b != h["term"]}
|
|
for h, b in zip(hints, bases)]
|
|
items.append({k: v for k, v in item.items() if v is not None})
|
|
out_json({"lang": a.lang, "nplurals": c.nplurals, "plural_forms": re.search(r"Plural-Forms: ([^\n]*)", c.header.msgstrs()[0]).group(1) if c.header else None,
|
|
"total_pending": len(todo), "offset": a.offset, "count": len(items), "entries": items}, a.out)
|
|
|
|
|
|
def cmd_apply(a):
|
|
c = Catalog(catalog_path(a.lang))
|
|
g = None if a.no_glossary else Glossary(a.wiki, quiet=True)
|
|
data = json.loads(Path(a.input).read_text(encoding="utf-8"))
|
|
items = data["entries"] if isinstance(data, dict) else data
|
|
idx = c.index()
|
|
by_id = {c.entries[i].id(): i for i in idx.values()}
|
|
applied, skipped, rejected, warned = 0, 0, [], []
|
|
for it in items:
|
|
if "msgid" in it:
|
|
key = (it.get("msgctxt"), it["msgid"])
|
|
i = idx.get(key)
|
|
label = (f"[{key[0]}] " if key[0] else "") + key[1][:70].replace("\n", "\\n")
|
|
else:
|
|
i = by_id.get(it.get("id"))
|
|
label = f"id {it.get('id')}" if i is None else c.entries[i].msgid[:70].replace("\n", "\\n")
|
|
if i is None:
|
|
rejected.append((label, ["no such entry in the catalog (give its id, or msgid and msgctxt)"]))
|
|
continue
|
|
e = c.entries[i]
|
|
if e.msgid_plural is not None and "msgstr_plural" not in it:
|
|
rejected.append((label, [f"plural entry: give msgstr_plural with {c.nplurals} forms"]))
|
|
continue
|
|
strs = it["msgstr_plural"] if e.msgid_plural is not None else [it.get("msgstr", "")]
|
|
if not strs or all(not s for s in strs):
|
|
skipped += 1
|
|
continue
|
|
if not a.overwrite and not needs_translation(e, c.nplurals, include_fuzzy=True):
|
|
rejected.append((label, ["already translated (pass --overwrite to replace)"]))
|
|
continue
|
|
errors, warnings = validate(e, strs, c.nplurals, g, a.lang)
|
|
if errors:
|
|
rejected.append((label, errors))
|
|
continue
|
|
if warnings:
|
|
warned.append((label, warnings))
|
|
c.changes[i] = e.rewrite(strs, ai=not a.human, review=it.get("review"))
|
|
applied += 1
|
|
if not a.dry_run and c.changes:
|
|
c.save()
|
|
for label, msgs in rejected:
|
|
print(f"REJECTED {label}\n " + "\n ".join(msgs))
|
|
for label, msgs in warned:
|
|
print(f"WARNING {label}\n " + "\n ".join(msgs))
|
|
print(f"{'would apply' if a.dry_run else 'applied'} {applied}, rejected {len(rejected)}, warnings {len(warned)}, blank skipped {skipped}")
|
|
return 1 if rejected else 0
|
|
|
|
|
|
def find_msgfmt():
|
|
exe = REPO / "tools" / "msgfmt.exe"
|
|
if os.name == "nt" and exe.exists():
|
|
return str(exe)
|
|
from shutil import which
|
|
return which("msgfmt")
|
|
|
|
|
|
def cmd_check(a):
|
|
g = None if a.no_glossary else Glossary(a.wiki, quiet=True)
|
|
msgfmt = find_msgfmt()
|
|
status = 0
|
|
for lang in a.lang or all_langs():
|
|
c = Catalog(catalog_path(lang))
|
|
errs = warns = 0
|
|
for e in c.active():
|
|
if a.scope == "ai" and not e.ai:
|
|
continue
|
|
strs = e.msgstrs()
|
|
if all(s == "" for s in strs) or e.fuzzy:
|
|
continue
|
|
errors, warnings = validate(e, strs, c.nplurals, g, lang)
|
|
if errors or (warnings and a.warnings):
|
|
label = (f"[{e.msgctxt}] " if e.msgctxt else "") + e.msgid[:70].replace("\n", "\\n")
|
|
print(f"{lang} line {e.first_line + 1}: {label}")
|
|
for m in errors:
|
|
print(f" ERROR {m}")
|
|
for m in warnings if a.warnings else []:
|
|
print(f" warn {m}")
|
|
errs += bool(errors)
|
|
warns += bool(warnings)
|
|
if msgfmt:
|
|
fd, mo = tempfile.mkstemp(suffix=".mo") # Windows msgfmt cannot write to "nul"
|
|
os.close(fd)
|
|
r = subprocess.run([msgfmt, "--check-format", "-o", mo, str(c.path)], capture_output=True, text=True)
|
|
os.unlink(mo)
|
|
if r.returncode:
|
|
print(f"{lang}: msgfmt --check-format failed\n{r.stderr.strip()}")
|
|
status = 1
|
|
print(f"{lang}: {errs} entries with errors, {warns} with warnings (scope: {a.scope})")
|
|
status |= bool(errs)
|
|
if not msgfmt:
|
|
print("note: msgfmt not found; skipped --check-format", file=sys.stderr)
|
|
return status
|
|
|
|
|
|
def cmd_lookup(a):
|
|
c = Catalog(catalog_path(a.lang))
|
|
rx = re.compile(a.pattern, re.I)
|
|
n = 0
|
|
for e in c.entries:
|
|
strs = [s for s in e.msgstrs() if s]
|
|
if e.is_header or not strs:
|
|
continue
|
|
texts = strs if a.msgstr else [e.msgid, e.msgid_plural or ""]
|
|
if not any(rx.search(t) for t in texts):
|
|
continue
|
|
mark = "obsolete " if e.obsolete else f"{e.id()} " + ("AI " if e.ai else "")
|
|
ctx = f"[{e.msgctxt}] " if e.msgctxt else ""
|
|
print(f"{mark}{ctx}{json.dumps(e.msgid, ensure_ascii=False)}\n -> {json.dumps(strs[0] if len(strs) == 1 else strs, ensure_ascii=False)}")
|
|
n += 1
|
|
if n >= a.limit:
|
|
print("... (limit reached)")
|
|
break
|
|
|
|
|
|
def cmd_glossary(a):
|
|
g = Glossary(a.wiki)
|
|
col = g.column(a.lang)
|
|
if col is None:
|
|
print(f"'{a.lang}' has no glossary column yet; add one with glossary-set --set {a.lang}=...")
|
|
rx = re.compile(a.term, re.I) if a.term else None
|
|
for r in g.rows:
|
|
if rx and not rx.search(r[0]):
|
|
continue
|
|
val = r[col] if col is not None and r[col] else "—"
|
|
print(f"{r[0]} => {val}\n {r[1]}")
|
|
notes = g.language_notes(a.lang)
|
|
if notes and not a.term:
|
|
print("\n" + notes)
|
|
|
|
|
|
STOP = set("""a an and are as at be been but by can could do does for from has have how if in into is it its
|
|
may more most must no not of on once one only or other out over same set should so some such than that the
|
|
their them then there these this those to too two up use used uses using very was when where whether which
|
|
while will with without would you your yet all any each every per both also between before after first last
|
|
off new now get gets let lets just already instead still even back down here make makes made via""".split())
|
|
|
|
|
|
def _singular(key):
|
|
return " ".join(re.sub(r"(?<=[a-z]{3})(es|s)$", "", w) for w in key.split())
|
|
|
|
|
|
def kept_in_english(g):
|
|
"""Names from the glossary page's "Kept in English" table."""
|
|
text = g.md.read_text(encoding="utf-8-sig")
|
|
m = re.search(r"^## Kept in English.*?$(.*?)(?=^## )", text, re.M | re.S)
|
|
names = set()
|
|
for row in re.findall(r"^\| (.*?) \|", m.group(1) if m else "", re.M):
|
|
for piece in re.split(r"[,/:]|\bplus\b", row.replace("**", "").replace("`", "")):
|
|
if piece.strip():
|
|
names.add(_norm(piece.strip()))
|
|
return names
|
|
|
|
|
|
def cmd_candidates(a):
|
|
g = Glossary(a.wiki)
|
|
known = kept_in_english(g)
|
|
for row, _ in g.matchers:
|
|
known |= {_norm(x.strip()) for x in base_term(row[0]).split(" / ")}
|
|
known |= {_singular(k) for k in known}
|
|
known |= {w for k in known if " " in k for w in k.split()} # "tower" of "prime tower"
|
|
pending = {}
|
|
labels = set()
|
|
for lang in all_langs():
|
|
c = Catalog(catalog_path(lang))
|
|
for e in c.active():
|
|
labels.add(_norm(e.msgid))
|
|
if needs_translation(e, c.nplurals):
|
|
pending.setdefault(e.key(), set()).add(lang)
|
|
counts = {} # phrase -> [strings, max langs, display, example, capitalised mid-sentence]
|
|
for (ctx, msgid), langs in pending.items():
|
|
seen = set()
|
|
for chunk in re.split(r"[.,;:!?()\[\]\"\n—–]+|\s-\s", msgid):
|
|
words = [re.sub(r"'s$", "", w) for w in re.findall(r"[A-Za-z][A-Za-z0-9-]*(?:'s)?", chunk)]
|
|
# Capitals only mean a name inside an ordinary sentence, not in a Title Case label.
|
|
sentence = len(words) >= 4 and sum(w[0].isupper() for w in words) * 2 < len(words)
|
|
for n in (1, 2, 3):
|
|
for i in range(len(words) - n + 1):
|
|
gram = words[i:i + n]
|
|
if gram[0].lower() in STOP or gram[-1].lower() in STOP or len("".join(gram)) < 4 \
|
|
or any(w.lower() in STOP and w.lower() != "of" for w in gram):
|
|
continue
|
|
key = _norm(" ".join(gram))
|
|
if key in seen or key in known or _singular(key) in known:
|
|
continue
|
|
seen.add(key)
|
|
d = counts.setdefault(key, [0, 0, " ".join(gram), msgid, False])
|
|
d[0] += 1
|
|
d[1] = max(d[1], len(langs))
|
|
d[4] |= sentence and i > 0 and all(w[0].isupper() for w in gram)
|
|
# A term is a phrase, or a word capitalised mid-sentence or written as an acronym.
|
|
keep = {k: v for k, v in counts.items()
|
|
if v[0] >= a.min_count and (" " in k or v[4] or v[2].isupper())}
|
|
# Drop fragments only ever seen inside a longer candidate ("IQEX parallel" in "IDEX IQEX parallel").
|
|
keep = {k: v for k, v in keep.items()
|
|
if not any(k != k2 and re.search(r"(^| )" + re.escape(k) + r"( |$)", k2) and v2[0] >= v[0] for k2, v2 in keep.items())}
|
|
rows = sorted(keep.items(), key=lambda kv: (-kv[1][0], -len(kv[0].split())))
|
|
print("strings langs phrase [label = also a msgid of its own] e.g.")
|
|
for k, (cnt, langs, text, example, _) in rows[:a.limit]:
|
|
ex = example.replace("\n", " ")
|
|
print(f"{cnt:7} {langs:6} {text}{' [label]' if k in labels else ''} e.g. {ex[:70]}{'…' if len(ex) > 70 else ''}")
|
|
|
|
|
|
def cmd_glossary_set(a):
|
|
wiki = find_wiki(a.wiki)
|
|
if not wiki:
|
|
print("No OrcaSlicer_WIKI clone found (looked at --wiki, $ORCA_WIKI_DIR and next to this repository).\n"
|
|
"The glossary must be updated with these terms before the translations that use them ship:\n"
|
|
f" {a.term}: " + ", ".join(a.set) + "\n"
|
|
"Clone https://github.com/OrcaSlicer/OrcaSlicer_WIKI next to this repository, or pass --wiki.", file=sys.stderr)
|
|
return 2
|
|
tsv = wiki / GLOSSARY_TSV
|
|
lock = tsv.with_suffix(".lock")
|
|
for _ in range(100):
|
|
try:
|
|
fd = os.open(lock, os.O_CREAT | os.O_EXCL)
|
|
break
|
|
except FileExistsError:
|
|
time.sleep(0.1)
|
|
else:
|
|
sys.exit(f"could not lock {lock}; remove it if no other run is active")
|
|
try:
|
|
data = tsv.read_bytes()
|
|
bom = data.startswith(b"\xef\xbb\xbf")
|
|
text = data.decode("utf-8-sig")
|
|
nl = "\r\n" if "\r\n" in text else "\n"
|
|
lines = text.splitlines()
|
|
header = lines[0].split("\t")
|
|
values = {}
|
|
for s in a.set:
|
|
lang, _, val = s.partition("=")
|
|
if lang not in header:
|
|
sys.exit(f"no glossary column '{lang}'")
|
|
if "\t" in val or "\n" in val:
|
|
sys.exit("values cannot contain tabs or line breaks")
|
|
values[header.index(lang)] = val.strip()
|
|
row_i = next((i for i, l in enumerate(lines[1:], 1) if l.split("\t")[0] == a.term), None)
|
|
new = row_i is None
|
|
if new:
|
|
if not a.description:
|
|
sys.exit("a new term needs --description (one sentence saying what it is)")
|
|
row = [a.term, a.description] + [""] * (len(header) - 2)
|
|
lines.append("")
|
|
row_i = len(lines) - 1
|
|
else:
|
|
row = lines[row_i].split("\t")
|
|
row += [""] * (len(header) - len(row))
|
|
if a.description:
|
|
row[1] = a.description
|
|
conflicts = [f"{header[i]}: '{row[i]}' -> '{v}'" for i, v in values.items() if row[i].strip() not in MISSING and row[i] != v]
|
|
if conflicts and not a.replace:
|
|
sys.exit("established translations differ (pass --replace, and update the catalogs to match):\n " + "\n ".join(conflicts))
|
|
for i, v in values.items():
|
|
row[i] = v
|
|
lines[row_i] = "\t".join(row)
|
|
tsv.write_bytes((b"\xef\xbb\xbf" if bom else b"") + (nl.join(lines) + nl).encode("utf-8"))
|
|
finally:
|
|
os.close(fd)
|
|
os.unlink(lock)
|
|
print(f"glossary: {'added' if new else 'updated'} '{a.term}'")
|
|
gen = wiki / "generate_glossary.py"
|
|
if gen.exists():
|
|
r = subprocess.run([sys.executable, str(gen), "--update"], cwd=wiki, capture_output=True, text=True)
|
|
print((r.stdout + r.stderr).strip())
|
|
return r.returncode
|
|
return 0
|
|
|
|
|
|
def main():
|
|
p = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter)
|
|
p.add_argument("--wiki", help="path to an OrcaSlicer_WIKI clone")
|
|
p.add_argument("--i18n", help="catalog root to use instead of localization/i18n")
|
|
sub = p.add_subparsers(dest="cmd", required=True)
|
|
|
|
s = sub.add_parser("status")
|
|
s.add_argument("--lang", action="append")
|
|
s.set_defaults(func=cmd_status)
|
|
|
|
s = sub.add_parser("pending")
|
|
s.add_argument("--lang", required=True)
|
|
s.add_argument("--offset", type=int, default=0)
|
|
s.add_argument("--limit", type=int, default=60)
|
|
s.add_argument("--out")
|
|
s.add_argument("--include-fuzzy", action=argparse.BooleanOptionalAction, default=True,
|
|
help="list fuzzy entries too (default): users never see them")
|
|
s.set_defaults(func=cmd_pending)
|
|
|
|
s = sub.add_parser("apply")
|
|
s.add_argument("--lang", required=True)
|
|
s.add_argument("--input", required=True)
|
|
s.add_argument("--overwrite", action="store_true", help="also replace existing translations")
|
|
s.add_argument("--human", action="store_true", help="do not add '# AI Translated' (a person wrote these)")
|
|
s.add_argument("--dry-run", action="store_true")
|
|
s.add_argument("--no-glossary", action="store_true")
|
|
s.set_defaults(func=cmd_apply)
|
|
|
|
s = sub.add_parser("check")
|
|
s.add_argument("--lang", action="append")
|
|
s.add_argument("--scope", choices=["ai", "all"], default="ai")
|
|
s.add_argument("--warnings", action="store_true", help="also print warnings")
|
|
s.add_argument("--no-glossary", action="store_true")
|
|
s.set_defaults(func=cmd_check)
|
|
|
|
s = sub.add_parser("lookup")
|
|
s.add_argument("--lang", required=True)
|
|
s.add_argument("pattern")
|
|
s.add_argument("--msgstr", action="store_true", help="search the translations instead of the English")
|
|
s.add_argument("--limit", type=int, default=40)
|
|
s.set_defaults(func=cmd_lookup)
|
|
|
|
s = sub.add_parser("glossary")
|
|
s.add_argument("--lang", required=True)
|
|
s.add_argument("term", nargs="?")
|
|
s.set_defaults(func=cmd_glossary)
|
|
|
|
s = sub.add_parser("candidates")
|
|
s.add_argument("--min-count", type=int, default=3)
|
|
s.add_argument("--limit", type=int, default=80)
|
|
s.set_defaults(func=cmd_candidates)
|
|
|
|
s = sub.add_parser("glossary-set")
|
|
s.add_argument("--term", required=True)
|
|
s.add_argument("--description")
|
|
s.add_argument("--set", action="append", default=[], metavar="LANG=VALUE")
|
|
s.add_argument("--replace", action="store_true")
|
|
s.set_defaults(func=cmd_glossary_set)
|
|
|
|
a = p.parse_args()
|
|
if a.i18n:
|
|
global I18N
|
|
I18N = Path(a.i18n)
|
|
sys.stdout.reconfigure(encoding="utf-8")
|
|
sys.stderr.reconfigure(encoding="utf-8")
|
|
sys.exit(a.func(a) or 0)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|