csh
13be5ea0aa
Migrate reference pages to declaration-line storage and rebuild the 13-column index. Add qualified member lookup plus regression and end-to-end coverage.
458 lines
14 KiB
Python
458 lines
14 KiB
Python
#!/usr/bin/env python3
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"""Query bundled TSL API reference data."""
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import argparse
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import re
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import sys
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from pathlib import Path
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TOP_LEVEL_RE = re.compile(r"^##(?!#)\s+`(.+?)`\s*$")
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PLAIN_H2_RE = re.compile(r"^##(?!#)\s+")
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BARE_ENTRY_RE = re.compile(r"^(#{3,4})(?!#)\s+`(.+?)`\s*$")
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HEADING_RE = re.compile(r"^(#{1,6})(?!#)\s+")
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H3_RE = re.compile(r"^###(?!#)\s+")
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DECLARATION_RE = re.compile(r"^声明：(.*?)\s*$")
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TOP_LEVEL_TYPES = {"function", "class", "unit"}
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FENCE_RE = re.compile(r"^\s*(```|~~~)")
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CLASS_MEMBER_LABELS = {
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"function",
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"class function",
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"property",
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"field",
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"static field",
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"const",
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"static const",
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}
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UNIT_DIRECT_LABELS = {"function", "var", "const", "class"}
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SKILL_ROOT = Path(__file__).resolve().parents[1]
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DEFAULT_TSV = SKILL_ROOT / "data" / "function_index.tsv"
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DEFAULT_CODEGEN_ROOT = SKILL_ROOT / "references" / "codegen"
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REQUIRED_COLUMNS = (
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"name",
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"scope",
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"module",
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"signature",
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"page",
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"anchor",
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"tags",
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"summary",
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)
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OPTIONAL_COLUMNS = (
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"kind",
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"binding",
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"visibility",
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"owner",
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"qualified_name",
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)
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HELP_EPILOG = """\
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检索分两步，--kw 的摘要不能直接作为 API 事实：
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1. 先按关键词取候选（只有摘要表格，不含条目正文）
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lookup.py --kw 数组 去重
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2. 再按候选里的 qualified_name 取回条目正文
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lookup.py --name arrDropDuplicate
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已知确切名称时可以直接用 --name，跳过第 1 步。
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退出码：
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0 取回成功；--name 无匹配也是 0（打印提示，不算错误）
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1 function_index.tsv 缺失、格式错误，或候选指向的条目正文找不到
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2 参数不合法（缺少动作、空值、--limit 小于 1、使用短选项或缩写）
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"""
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def non_empty(value):
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if not value.strip():
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raise argparse.ArgumentTypeError("must not be empty")
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return value
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def find_tsv(start):
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"""Walk upward from start and find a bundled or legacy function_index.tsv."""
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for directory in [start, *start.parents]:
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candidates = [
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directory / "data" / "function_index.tsv",
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directory / "function_index.tsv",
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directory / "docs" / "tsl" / "codegen" / "function_index.tsv",
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]
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for candidate in candidates:
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if candidate.is_file():
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return candidate
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return None
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def load_rows(tsv_path):
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lines = tsv_path.read_text(encoding="utf-8").splitlines()
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if not lines:
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return []
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header = lines[0].split("\t")
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missing = [column for column in REQUIRED_COLUMNS if column not in header]
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if missing:
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raise ValueError(f"missing required columns: {', '.join(missing)}")
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if len(header) != len(set(header)):
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raise ValueError("duplicate column names")
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rows = []
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for line_number, line in enumerate(lines[1:], start=2):
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if not line.strip():
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continue
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values = line.split("\t")
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if len(values) != len(header):
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raise ValueError(
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f"line {line_number} has {len(values)} columns; "
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f"expected {len(header)}"
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)
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row = dict(zip(header, values))
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for column in OPTIONAL_COLUMNS:
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row.setdefault(column, "")
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rows.append(row)
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return rows
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def search_exact(rows, name):
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key = name.casefold()
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return [
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row
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for row in rows
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if key
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in {
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row.get("name", "").casefold(),
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row.get("qualified_name", "").casefold(),
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}
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]
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def search_keyword(rows, terms):
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lowered_terms = [term.lower() for term in terms]
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matches = []
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for row in rows:
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haystack = " ".join(
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[
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row.get("name", ""),
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row.get("signature", ""),
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row.get("module", ""),
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row.get("tags", ""),
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row.get("summary", ""),
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row.get("kind", ""),
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row.get("binding", ""),
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row.get("visibility", ""),
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row.get("owner", ""),
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row.get("qualified_name", ""),
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]
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).casefold()
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if all(term in haystack for term in lowered_terms):
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matches.append(row)
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return matches
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def slug(text):
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return re.sub(r"[^a-z0-9_]", "", text.casefold())
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def fence_flags(lines):
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flags = []
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in_fence = False
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marker = ""
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for line in lines:
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stripped = line.lstrip()
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if not in_fence and FENCE_RE.match(line):
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marker = stripped[:3]
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flags.append(True)
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in_fence = True
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continue
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flags.append(in_fence)
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if in_fence and stripped.startswith(marker):
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in_fence = False
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marker = ""
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return flags
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def top_level_header_end(lines, start, flags):
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for index in range(start + 1, len(lines)):
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if flags[index]:
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continue
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if HEADING_RE.match(lines[index]):
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return index
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return len(lines)
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def declaration_type(lines, start, end, flags):
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for index in range(start + 1, end):
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if flags[index]:
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continue
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stripped = lines[index].strip()
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if not stripped:
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continue
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match = DECLARATION_RE.fullmatch(stripped)
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return match.group(1).strip().casefold() if match else ""
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return ""
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def markdown_heading(
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lines, index, root_kind, unit_class_open, flags
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):
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"""Return level, visible title, signature, and anchor base for one API."""
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bare = BARE_ENTRY_RE.match(lines[index])
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if not bare:
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return None
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level = len(bare.group(1))
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signature = bare.group(2)
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end = top_level_header_end(lines, index, flags)
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declaration = declaration_type(lines, index, end, flags)
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if declaration == "static function":
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return None
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if root_kind == "class":
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if level != 3 or declaration not in CLASS_MEMBER_LABELS:
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return None
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elif root_kind == "unit":
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if level == 3 and declaration not in UNIT_DIRECT_LABELS:
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return None
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if level == 4 and (
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not unit_class_open or declaration not in CLASS_MEMBER_LABELS
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):
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return None
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if level not in {3, 4}:
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return None
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else:
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return None
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return level, signature, signature, slug(signature)
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def iter_markdown_api_headings(lines):
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flags = fence_flags(lines)
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root_kind = ""
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unit_class_open = False
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for index, line in enumerate(lines):
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if flags[index]:
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continue
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if PLAIN_H2_RE.match(line):
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root_kind = ""
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unit_class_open = False
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top_level = TOP_LEVEL_RE.match(line)
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if not top_level:
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continue
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signature = top_level.group(1)
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end = top_level_header_end(lines, index, flags)
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root_kind = declaration_type(lines, index, end, flags)
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if root_kind:
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yield index, (
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2,
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signature,
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signature,
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slug(signature.split("(", 1)[0]),
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)
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continue
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if not root_kind:
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continue
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if root_kind == "unit" and H3_RE.match(line):
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unit_class_open = False
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bare = BARE_ENTRY_RE.match(line)
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if root_kind == "unit" and bare and len(bare.group(1)) == 3:
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end = top_level_header_end(lines, index, flags)
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unit_class_open = (
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declaration_type(lines, index, end, flags) == "class"
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)
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heading = markdown_heading(
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lines, index, root_kind, unit_class_open, flags
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)
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if heading:
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yield index, heading
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def slice_entry(codegen_root, page, signature, anchor):
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md = codegen_root / page
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if not md.is_file():
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return ""
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lines = md.read_text(encoding="utf-8").splitlines()
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start = None
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seen_anchors = {}
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for idx, heading in iter_markdown_api_headings(lines):
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level, _, entry_signature, base_anchor = heading
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occurrence = seen_anchors.get(base_anchor, 0)
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seen_anchors[base_anchor] = occurrence + 1
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entry_anchor = base_anchor if occurrence == 0 else f"{base_anchor}-{occurrence}"
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if entry_anchor == anchor and entry_signature == signature:
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start = idx
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start_level = level
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break
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if start is None:
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return ""
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end = len(lines)
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flags = fence_flags(lines)
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for idx in range(start + 1, len(lines)):
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if flags[idx]:
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continue
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heading_match = HEADING_RE.match(lines[idx])
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if heading_match and len(heading_match.group(1)) <= start_level:
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end = idx
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break
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block = lines[start:end]
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while block and not block[-1].strip():
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block.pop()
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return "\n".join(block)
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def declaration_term(row):
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kind = row.get("kind", "") or "function"
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binding = row.get("binding", "")
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mapped = {
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("method", "instance"): "function",
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("method", "class"): "class function",
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("field", "static"): "static field",
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("constant", "static"): "static const",
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}.get((kind, binding))
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if mapped:
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return mapped
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return {
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"constant": "const",
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"variable": "var",
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}.get(kind, kind)
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def format_row(row):
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return "\t".join(
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[
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row.get("qualified_name", "") or row.get("name", ""),
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declaration_term(row),
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row.get("signature", ""),
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f"{row.get('page', '')}#{row.get('anchor', '')}",
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row.get("summary", ""),
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]
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)
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def codegen_root_for_tsv(tsv_path):
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if tsv_path.parent.name == "data":
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candidate = tsv_path.parent.parent / "references" / "codegen"
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if candidate.is_dir():
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return candidate
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if tsv_path.parent.name == "codegen":
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return tsv_path.parent
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candidate = tsv_path.parent / "references" / "codegen"
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if candidate.is_dir():
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return candidate
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return DEFAULT_CODEGEN_ROOT
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def default_tsv_path():
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if DEFAULT_TSV.is_file():
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return DEFAULT_TSV
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return find_tsv(Path.cwd())
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def main(argv=None):
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if hasattr(sys.stdout, "reconfigure"):
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sys.stdout.reconfigure(encoding="utf-8")
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parser = argparse.ArgumentParser(
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description="检索 TSL API 参考数据，取回 API 的签名、参数与返回值事实。",
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epilog=HELP_EPILOG,
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formatter_class=argparse.RawDescriptionHelpFormatter,
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# 只接受完整拼写的长选项：不提供 -h 短选项，也不接受 --na / --li 这类
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# 缩写。缩写打错时会静默命中另一个选项并以 rc=0 返回，看不出写错了。
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add_help=False,
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allow_abbrev=False,
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)
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parser.add_argument(
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"--help",
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action="help",
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help="显示本帮助并退出（不提供 -h 短选项）",
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)
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group = parser.add_argument_group("动作（必选其一）").add_mutually_exclusive_group(
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required=True
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)
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group.add_argument(
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"--name",
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type=non_empty,
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help="按 API 名称精确取回条目正文；同时匹配简单名称与 qualified_name，"
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"大小写不敏感。简单成员名会返回所有 owner 下的同名 API，"
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"用完整限定名（如 DemoUnit.Document.Save）缩小到指定 class/unit。"
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"这是唯一的事实来源",
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)
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group.add_argument(
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"--kw",
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nargs="+",
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type=non_empty,
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help="按关键词检索候选清单，多个词是 AND 关系（全部命中才返回）；"
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"逐行搜索 name、signature、module、tags、summary、kind、binding、"
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"visibility、owner 和 qualified_name 这些列的拼接文本，"
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"大小写不敏感且按子串匹配。只返回摘要表格，不含条目正文",
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)
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parser.add_argument(
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"--tsv",
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metavar="PATH",
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help="显式指定 function_index.tsv；默认使用本 skill 内置的 data/function_index.tsv",
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)
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parser.add_argument(
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"--limit",
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type=int,
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default=50,
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metavar="N",
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help="--kw 输出的候选条数上限，取值 >= 1（默认 %(default)s）；"
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"--name 取回正文时不受该上限影响",
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)
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args = parser.parse_args(argv)
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if args.limit < 1:
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parser.error("--limit must be >= 1")
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tsv_path = Path(args.tsv) if args.tsv else default_tsv_path()
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if not tsv_path or not tsv_path.is_file():
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print(
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"ERROR: function_index.tsv not found; reinstall tsl-api-reference "
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"or pass --tsv PATH",
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file=sys.stderr,
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)
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return 1
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try:
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rows = load_rows(tsv_path)
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except (OSError, UnicodeError, ValueError) as error:
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print(f"ERROR: failed to load {tsv_path}: {error}", file=sys.stderr)
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return 1
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if not rows:
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print(
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f"ERROR: {tsv_path} has no entries; reinstall tsl-api-reference "
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"or pass --tsv PATH",
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file=sys.stderr,
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)
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return 1
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codegen_root = codegen_root_for_tsv(tsv_path)
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if args.name is not None:
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matches = search_exact(rows, args.name)
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if not matches:
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print(f"No TSL API named '{args.name}'. Try: --kw <中文关键词>")
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return 0
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entries = []
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for row in matches:
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body = slice_entry(
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codegen_root, row["page"], row["signature"], row["anchor"]
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)
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if not body:
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print(
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f"ERROR: entry body not found: "
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f"{row['page']}#{row['anchor']} ({row['signature']})",
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file=sys.stderr,
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)
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return 1
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entries.append((row, body))
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for row, body in entries:
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print(body)
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print(
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f"\n<!-- {row['scope']}/{row['module']} · "
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f"{row['page']}#{row['anchor']} -->\n"
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)
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return 0
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matches = search_keyword(rows, args.kw)
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print(f"# {len(matches)} matches for: {' '.join(args.kw)}")
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print("qualified_name\tdeclaration\tsignature\tpage#anchor\tsummary")
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for row in matches[: args.limit]:
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print(format_row(row))
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if len(matches) > args.limit:
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print(f"... {len(matches) - args.limit} more; refine keywords or raise --limit")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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