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| 1 | +"""GCF generic decoder: parses any GCF text (tabular or graph) back to Python objects.""" |
| 2 | + |
| 3 | +from __future__ import annotations |
| 4 | + |
| 5 | +from typing import Any |
| 6 | + |
| 7 | +from .decode import decode |
| 8 | + |
| 9 | + |
| 10 | +def decode_generic(input_text: str) -> Any: |
| 11 | + """Decode any GCF text back into Python objects. |
| 12 | +
|
| 13 | + Handles tabular arrays, key-value pairs, nested sections, inline |
| 14 | + primitive arrays, and graph profile payloads. |
| 15 | +
|
| 16 | + Returns dicts, lists, and primitives matching the original structure. |
| 17 | + """ |
| 18 | + input_text = input_text.rstrip("\n\r") |
| 19 | + if not input_text: |
| 20 | + return None |
| 21 | + |
| 22 | + lines = input_text.split("\n") |
| 23 | + |
| 24 | + # Graph profile fallback. |
| 25 | + if lines[0].startswith("GCF "): |
| 26 | + p = decode(input_text) |
| 27 | + return { |
| 28 | + "tool": p.tool, |
| 29 | + "tokenBudget": p.token_budget, |
| 30 | + "tokensUsed": p.tokens_used, |
| 31 | + "packRoot": p.pack_root, |
| 32 | + "symbols": [ |
| 33 | + { |
| 34 | + "qualifiedName": s.qualified_name, |
| 35 | + "kind": s.kind, |
| 36 | + "score": s.score, |
| 37 | + "provenance": s.provenance, |
| 38 | + "distance": s.distance, |
| 39 | + } |
| 40 | + for s in p.symbols |
| 41 | + ], |
| 42 | + "edges": [ |
| 43 | + { |
| 44 | + "source": e.source, |
| 45 | + "target": e.target, |
| 46 | + "edgeType": e.edge_type, |
| 47 | + **({"status": e.status} if e.status else {}), |
| 48 | + } |
| 49 | + for e in p.edges |
| 50 | + ], |
| 51 | + } |
| 52 | + |
| 53 | + result: dict[str, Any] = {} |
| 54 | + _parse_object(lines, 0, 0, result) |
| 55 | + return result |
| 56 | + |
| 57 | + |
| 58 | +def _parse_object(lines: list[str], start: int, depth: int, out: dict[str, Any]) -> int: |
| 59 | + indent = " " * depth |
| 60 | + i = start |
| 61 | + |
| 62 | + while i < len(lines): |
| 63 | + raw = lines[i].rstrip("\r") |
| 64 | + if raw == "" or raw.startswith("# "): |
| 65 | + i += 1 |
| 66 | + continue |
| 67 | + |
| 68 | + if depth > 0 and not raw.startswith(indent): |
| 69 | + break |
| 70 | + |
| 71 | + content = raw[len(indent):] if depth > 0 else raw |
| 72 | + |
| 73 | + if content.startswith("## _summary"): |
| 74 | + i += 1 |
| 75 | + continue |
| 76 | + |
| 77 | + if content.startswith("## "): |
| 78 | + header = content[3:] |
| 79 | + bracket_idx = header.find(" [") |
| 80 | + |
| 81 | + if bracket_idx >= 0: |
| 82 | + name = header[:bracket_idx] |
| 83 | + rest = header[bracket_idx + 2:] |
| 84 | + close_bracket = rest.find("]") |
| 85 | + |
| 86 | + if close_bracket >= 0: |
| 87 | + after_bracket = rest[close_bracket + 1:] |
| 88 | + |
| 89 | + if after_bracket.startswith("{"): |
| 90 | + field_end = after_bracket.find("}") |
| 91 | + if field_end >= 0: |
| 92 | + fields = after_bracket[1:field_end].split(",") |
| 93 | + i += 1 |
| 94 | + rows, consumed = _parse_tabular_rows(lines, i, depth, fields) |
| 95 | + out[name] = rows |
| 96 | + i += consumed |
| 97 | + continue |
| 98 | + else: |
| 99 | + count_str = rest[:close_bracket] |
| 100 | + if count_str == "0": |
| 101 | + out[name] = [] |
| 102 | + i += 1 |
| 103 | + continue |
| 104 | + i += 1 |
| 105 | + items, consumed = _parse_non_uniform_array(lines, i, depth) |
| 106 | + out[name] = items |
| 107 | + i += consumed |
| 108 | + continue |
| 109 | + |
| 110 | + name = header |
| 111 | + bi = name.find(" [") |
| 112 | + if bi >= 0: |
| 113 | + name = name[:bi] |
| 114 | + i += 1 |
| 115 | + nested: dict[str, Any] = {} |
| 116 | + consumed = _parse_object(lines, i, depth + 1, nested) |
| 117 | + out[name] = nested |
| 118 | + i += consumed |
| 119 | + continue |
| 120 | + |
| 121 | + # Inline primitive array. |
| 122 | + bracket_idx = content.find("[") |
| 123 | + if bracket_idx > 0: |
| 124 | + colon_idx = content.find("]: ") |
| 125 | + if colon_idx > bracket_idx: |
| 126 | + name = content[:bracket_idx] |
| 127 | + vals_str = content[colon_idx + 3:] |
| 128 | + out[name] = [_parse_value(v.strip()) for v in vals_str.split(",")] |
| 129 | + i += 1 |
| 130 | + continue |
| 131 | + |
| 132 | + # Key=value. |
| 133 | + eq_idx = content.find("=") |
| 134 | + if eq_idx > 0: |
| 135 | + key = content[:eq_idx] |
| 136 | + val = content[eq_idx + 1:] |
| 137 | + out[key] = _parse_value(val) |
| 138 | + i += 1 |
| 139 | + continue |
| 140 | + |
| 141 | + i += 1 |
| 142 | + |
| 143 | + return i - start |
| 144 | + |
| 145 | + |
| 146 | +def _parse_tabular_rows( |
| 147 | + lines: list[str], start: int, depth: int, fields: list[str] |
| 148 | +) -> tuple[list[Any], int]: |
| 149 | + indent = " " * depth |
| 150 | + rows: list[Any] = [] |
| 151 | + i = start |
| 152 | + |
| 153 | + while i < len(lines): |
| 154 | + raw = lines[i].rstrip("\r") |
| 155 | + if raw == "": |
| 156 | + i += 1 |
| 157 | + continue |
| 158 | + |
| 159 | + if depth > 0 and not raw.startswith(indent): |
| 160 | + break |
| 161 | + content = raw[len(indent):] if depth > 0 else raw |
| 162 | + |
| 163 | + if content.startswith("## "): |
| 164 | + break |
| 165 | + if content.startswith("# "): |
| 166 | + i += 1 |
| 167 | + continue |
| 168 | + |
| 169 | + row_data = content |
| 170 | + has_nested = False |
| 171 | + if row_data.startswith("@"): |
| 172 | + sp = row_data.find(" ") |
| 173 | + if sp > 0: |
| 174 | + row_data = row_data[sp + 1:] |
| 175 | + has_nested = True |
| 176 | + |
| 177 | + vals = row_data.split("|") |
| 178 | + row: dict[str, Any] = {} |
| 179 | + for j, f in enumerate(fields): |
| 180 | + row[f] = _parse_value(vals[j]) if j < len(vals) else None |
| 181 | + |
| 182 | + i += 1 |
| 183 | + |
| 184 | + if has_nested: |
| 185 | + nested_indent = indent + " " |
| 186 | + while i < len(lines): |
| 187 | + nl = lines[i].rstrip("\r") |
| 188 | + if not nl.startswith(nested_indent): |
| 189 | + break |
| 190 | + nc = nl[len(nested_indent):] |
| 191 | + |
| 192 | + if nc.startswith("."): |
| 193 | + field_name = nc[1:] |
| 194 | + i += 1 |
| 195 | + nested: dict[str, Any] = {} |
| 196 | + consumed = _parse_object(lines, i, depth + 2, nested) |
| 197 | + row[field_name] = nested |
| 198 | + i += consumed |
| 199 | + else: |
| 200 | + break |
| 201 | + |
| 202 | + rows.append(row) |
| 203 | + |
| 204 | + return rows, i - start |
| 205 | + |
| 206 | + |
| 207 | +def _parse_non_uniform_array( |
| 208 | + lines: list[str], start: int, depth: int |
| 209 | +) -> tuple[list[Any], int]: |
| 210 | + indent = " " * depth |
| 211 | + items: list[Any] = [] |
| 212 | + i = start |
| 213 | + |
| 214 | + while i < len(lines): |
| 215 | + raw = lines[i].rstrip("\r") |
| 216 | + if raw == "": |
| 217 | + i += 1 |
| 218 | + continue |
| 219 | + if depth > 0 and not raw.startswith(indent): |
| 220 | + break |
| 221 | + content = raw[len(indent):] if depth > 0 else raw |
| 222 | + if content.startswith("## "): |
| 223 | + break |
| 224 | + |
| 225 | + if content.startswith("@"): |
| 226 | + sp = content.find(" ") |
| 227 | + if sp > 0: |
| 228 | + items.append(_parse_value(content[sp + 1:])) |
| 229 | + i += 1 |
| 230 | + else: |
| 231 | + break |
| 232 | + |
| 233 | + return items, i - start |
| 234 | + |
| 235 | + |
| 236 | +def _parse_value(s: str) -> Any: |
| 237 | + if s == "-": |
| 238 | + return None |
| 239 | + if s == "true": |
| 240 | + return True |
| 241 | + if s == "false": |
| 242 | + return False |
| 243 | + if s == '""': |
| 244 | + return "" |
| 245 | + if len(s) >= 2 and s[0] == '"' and s[-1] == '"': |
| 246 | + return s[1:-1].replace('\\"', '"').replace("\\\\", "\\") |
| 247 | + try: |
| 248 | + return int(s) |
| 249 | + except ValueError: |
| 250 | + pass |
| 251 | + try: |
| 252 | + return float(s) |
| 253 | + except ValueError: |
| 254 | + pass |
| 255 | + return s |
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