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0678faf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 | """Document-scoped, auditable tools shared by CLI and API VQA agents."""
import argparse
import json
import math
from pathlib import Path
class DocumentTools:
def __init__(self, root):
self.root = Path(root).resolve()
self.document = json.loads((self.root / "document.json").read_text())
self.pages = json.loads((self.root / "page_text.json").read_text())
self.text_pages_read = set()
self.image_pages_read = set()
self.searches = []
self.calculations = []
def overview(self):
return {
"document_id": self.document["id"],
"title": self.document["title"],
"page_count": len(self.pages),
"content_page_count": self.document.get("content_page_count"),
"sha256": self.document["sha256"],
"page_indexing": "zero-based PDF indices",
"pages": [
{"page": p["page"], "characters": len(p["text"]), "preview": p["text"][:350]} for p in self.pages
],
}
def search(self, terms, max_hits=30):
if (
not isinstance(terms, list)
or not 1 <= len(terms) <= 12
or any(not isinstance(t, str) or not 1 <= len(t) <= 200 for t in terms)
):
raise ValueError("Provide 1–12 non-empty literal search terms, each at most 200 characters")
max_hits = min(50, max(1, int(max_hits)))
hits = []
for p in self.pages:
lowered = p["text"].casefold()
for term in terms:
start = 0
while (pos := lowered.find(term.casefold(), start)) >= 0:
hits.append(
{
"page": p["page"],
"term": term,
"offset": pos,
"context": p["text"][max(0, pos - 150) : pos + len(term) + 250],
}
)
start = pos + max(1, len(term))
self.searches.append({"terms": terms, "match_count": len(hits)})
return {
"scanned_text_pages": list(range(len(self.pages))),
"match_count": len(hits),
"hits": hits[:max_hits],
"truncated_results": len(hits) > max_hits,
"note": "A zero literal-match count does not prove semantic or visual absence.",
}
def read(self, pages, images=True):
if (
not isinstance(pages, list)
or not 1 <= len(pages) <= 8
or any(type(p) is not int or not 0 <= p < len(self.pages) for p in pages)
):
raise ValueError("Read 1–8 valid zero-based page indices per call")
result = []
for index in dict.fromkeys(pages):
page = self.pages[index]
item = {"page": index, "text": page["text"], "text_complete": True}
self.text_pages_read.add(index)
if images:
item["image_path"] = str(self.root / "pages" / f"page{index:03d}.png")
self.image_pages_read.add(index)
result.append(item)
return {
"document_id": self.document["id"],
"pages": result,
"note": "Image paths must actually be opened by the CLI; the API driver delivers requested images.",
}
def calculate(self, operator, operands):
if (
not isinstance(operands, list)
or not 1 <= len(operands) <= 100
or any(type(x) not in (int, float) or not math.isfinite(x) or abs(x) > 1e15 for x in operands)
):
raise ValueError("Provide at most 100 finite numeric operands")
if operator == "+":
result = sum(operands)
elif operator == "-" and len(operands) == 2:
result = operands[0] - operands[1]
elif operator == "*":
result = math.prod(operands)
elif operator == "/" and len(operands) == 2:
result = operands[0] / operands[1]
elif operator == "min":
result = min(operands)
elif operator == "max":
result = max(operands)
else:
raise ValueError("Supported operators: +, -, *, /, min, max; subtraction/division need two operands")
if not math.isfinite(result):
raise ValueError("Non-finite result")
record = {"operator": operator, "operands": operands, "result": result}
self.calculations.append(record)
return record
def call(self, name, arguments):
if name == "document_overview":
return self.overview()
if name == "search_document":
return self.search(**arguments)
if name == "read_pages":
return self.read(**arguments)
if name == "calculate":
return self.calculate(**arguments)
raise ValueError("Unknown document tool")
TOOL_SCHEMAS = [
{
"type": "function",
"function": {
"name": "document_overview",
"description": "Get full-document page count, identity, source hash and page previews.",
"parameters": {"type": "object", "properties": {}, "additionalProperties": False},
},
},
{
"type": "function",
"function": {
"name": "search_document",
"description": "Search every page's extracted text for literal terms, including synonyms in separate terms. This does not prove visual absence.",
"parameters": {
"type": "object",
"properties": {
"terms": {"type": "array", "items": {"type": "string"}},
"max_hits": {"type": "integer"},
},
"required": ["terms"],
"additionalProperties": False,
},
},
},
{
"type": "function",
"function": {
"name": "read_pages",
"description": "Read full text and request actual page images for up to eight zero-based PDF pages; use the images for tables and figures.",
"parameters": {
"type": "object",
"properties": {
"pages": {"type": "array", "items": {"type": "integer"}},
"images": {"type": "boolean"},
},
"required": ["pages"],
"additionalProperties": False,
},
},
},
{
"type": "function",
"function": {
"name": "calculate",
"description": "Execute arithmetic on observed numeric operands. Establish operand provenance from document pages first.",
"parameters": {
"type": "object",
"properties": {
"operator": {"type": "string", "enum": ["+", "-", "*", "/", "min", "max"]},
"operands": {"type": "array", "items": {"type": "number"}},
},
"required": ["operator", "operands"],
"additionalProperties": False,
},
},
},
]
def main():
parser = argparse.ArgumentParser()
parser.add_argument("tool", choices=["document_overview", "search_document", "read_pages", "calculate"])
parser.add_argument("arguments", nargs="?", default="{}", help="Tool arguments as JSON")
parser.add_argument("--root", type=Path, default=Path.cwd())
args = parser.parse_args()
try:
result = DocumentTools(args.root).call(args.tool, json.loads(args.arguments))
except Exception as exc:
result = {"error": type(exc).__name__, "message": str(exc)}
print(json.dumps(result, ensure_ascii=False))
if __name__ == "__main__":
main()
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