mirror of
https://github.com/KenanZhu/AutoLibrary.git
synced 2026-06-18 07:23:03 +08:00
1d4b03d162
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
647 lines
19 KiB
Python
647 lines
19 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Copyright (c) 2026 KenanZhu.
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All rights reserved.
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This software is provided "as is", without any warranty of any kind.
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You may use, modify, and distribute this file under the terms of the MIT License.
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See the LICENSE file for details.
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"""
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import re
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from datetime import (
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datetime,
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timedelta,
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date,
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time
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)
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from .ASObject import (
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ASObject,
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_META_VARS,
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_inferType
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)
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from .ASOperator import ASOperator
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from .ASTokenizer import (
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ASTokenizer,
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NodeVisitor,
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Script,
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IfNode,
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SetNode,
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OpNode,
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PassNode,
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UnrecogNode
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)
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__all__ = ["execute", "addTargetVar", "splitTopLevel"]
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# Engine state
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# User-registered target variables (bound to target_data paths)
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_TARGET_VARS = {}
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# Free-form script variables (not bound to target_data)
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_SCRIPT_VARS = {}
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# Name -> ASObject lookup map built from _META_VARS, _TARGET_VARS, and display names
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_FIELD_MAP = {}
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def _errPos(
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line: int,
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message: str
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) -> str:
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"""
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Format an error message with a script line number.
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Args:
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line (int): The script line number where the error occurred.
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message (str): The error description.
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Returns:
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str: A formatted error string like "AutoScript syntax error(line X): message".
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"""
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return f"AutoScript 语法错误(第{line}行): {message}"
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# Pre-compiled regex patterns for value resolution
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_RE_TIME = re.compile(r"^TIME\((\d{1,2}):(\d{2})\)$", re.IGNORECASE)
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_RE_DATE = re.compile(r"^DATE\((\d{4})-(\d{2})-(\d{2})\)$", re.IGNORECASE)
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def splitTopLevel(
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text: str,
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delimiter: str
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) -> list:
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"""
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Split a condition expression by a delimiter (.AND. / .OR.), respecting parentheses.
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Only splits at the top nesting level; delimiters inside parentheses are ignored.
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Args:
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text (str): The condition expression to split.
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delimiter (str): The delimiter string, e.g. ".OR." or ".AND.".
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Returns:
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list: A list of sub-expression strings (stripped of leading/trailing whitespace).
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"""
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parts = []
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depth = 0
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buf = ""
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i = 0
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text_upper = text.upper()
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delim_upper = delimiter.upper()
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dlen = len(delim_upper)
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while i < len(text):
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if text[i] == "(":
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depth += 1
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buf += text[i]
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elif text[i] == ")":
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depth -= 1
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buf += text[i]
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elif depth == 0 and text_upper[i:i + dlen] == delim_upper:
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parts.append(buf)
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buf = ""
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i += dlen
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continue
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else:
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buf += text[i]
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i += 1
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if buf.strip():
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parts.append(buf)
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return parts
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def _buildFieldMap():
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"""
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Rebuild the _FIELD_MAP lookup from _META_VARS and _TARGET_VARS.
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Each variable is registered under both its canonical name (uppercased)
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and its display_name (if present), so that scripts can refer to either.
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"""
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_FIELD_MAP.clear()
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for ch_name, obj in _META_VARS.items():
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_FIELD_MAP[obj.name.upper()] = obj
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_FIELD_MAP[ch_name.upper().strip()] = obj
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for obj in _TARGET_VARS.values():
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_FIELD_MAP[obj.name.upper()] = obj
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if obj.display_name:
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_FIELD_MAP[obj.display_name.upper().strip()] = obj
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def _resolveFieldObj(
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field_name: str
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):
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"""
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Resolve a field name to its ASObject by looking up _FIELD_MAP then _SCRIPT_VARS.
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Unlike getting a raw value, this returns the ASObject instance itself,
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preserving type information for operations and comparisons.
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Args:
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field_name (str): The field name (case-insensitive).
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Returns:
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ASObject or None: The resolved ASObject, or None if not found.
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"""
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upper_name = field_name.upper().strip()
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obj = _FIELD_MAP.get(upper_name)
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if obj:
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return obj
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obj = _SCRIPT_VARS.get(upper_name)
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if obj:
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return obj
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return None
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def _resolveValue(
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value_str: str,
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target_data: dict
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):
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"""
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Parse and resolve a value string from a script into a Python object.
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Supports the following literal forms:
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- TIME(hh:mm)
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- DATE(yyyy-mm-dd)
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- .TRUE. / .FALSE.
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- Single/double quoted strings (with escaped single quotes)
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- Arithmetic expressions: operand (+|-) operand (Date ± Int, Int ± Int, etc.)
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- Numeric literals (int / float)
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- Field references (resolved via _resolveFieldObj)
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Args:
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value_str (str): The raw value string from the script.
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target_data (dict): The application data dict.
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Returns:
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The resolved Python value.
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"""
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s = value_str.strip()
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m = _RE_TIME.match(s)
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if m:
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return time(int(m.group(1)), int(m.group(2)))
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m = _RE_DATE.match(s)
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if m:
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return date(int(m.group(1)), int(m.group(2)), int(m.group(3)))
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up = s.upper()
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if up == ".TRUE.":
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return True
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if up == ".FALSE.":
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return False
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if s.startswith("'") and s.endswith("'"):
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return s[1:-1].replace("''", "'")
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if s.startswith('"') and s.endswith('"'):
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return s[1:-1]
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try:
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return int(s)
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except ValueError:
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pass
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try:
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return float(s)
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except ValueError:
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pass
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arith_result = _resolveArithExpr(s, target_data)
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if arith_result is not None:
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return arith_result
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obj = _resolveFieldObj(s)
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if obj:
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return obj.getValue(target_data)
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return ""
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def _resolveAsObject(
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expr: str,
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target_data: dict
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) -> ASObject:
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"""
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Resolve a value expression to an ASObject.
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- If the expression is a registered field name, returns its ASObject directly.
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- If the expression is a literal (number, string, DATE(), TIME(), bool),
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creates a temporary ASObject with the inferred type.
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This is the key function that ensures all internal operations work
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with typed ASObject instances rather than raw Python values.
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Args:
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expr (str): The raw expression string from the script.
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target_data (dict): The application data dict.
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Returns:
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ASObject: A registered or temporary ASObject representing the expression value.
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"""
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s = expr.strip()
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obj = _resolveFieldObj(s)
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if obj is not None:
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return obj
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value = _resolveValue(s, target_data)
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inferred = _inferType(value, s)
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return ASObject._makeTemp(value, inferred)
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def _resolveArithExpr(
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expr: str,
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target_data: dict,
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line: int = 0
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):
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"""
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Try to evaluate expr as a two-operand arithmetic expression: left (+|-) right.
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Each operand is resolved via _resolveAsObject, reusing the full literal /
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field / script-variable resolution stack. The left operand's value is
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copied into a temporary ASObject and ASOperator.apply() performs the
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type-safe calculation on the copy, so the original variable is never
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mutated.
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Returns the computed Python value, or None if expr is not a recognised
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arithmetic pattern.
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"""
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s = expr.strip()
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m = re.match(r'^(.+?)\s+([+-])\s+(.+)$', s)
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if not m:
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# Fallback for no-space expressions like RESERVE_DATE+1
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# (e.g. when extracted from IF(RESERVE_DATE.EQ.CURRENT_DATE+1)).
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# Left operand must be an identifier (letter/underscore start) to
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# avoid false-matching date strings like 2026-05-20.
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m = re.match(r'^([A-Za-z_]\w*)([+-])(\d+|[A-Za-z_]\w*)$', s)
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if not m:
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return None
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left_expr = m.group(1).strip()
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op_symbol = m.group(2).strip()
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right_expr = m.group(3).strip()
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if " + " in left_expr or " - " in left_expr:
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return None
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if " + " in right_expr or " - " in right_expr:
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return None
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left_obj = _resolveAsObject(left_expr, target_data)
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right_obj = _resolveAsObject(right_expr, target_data)
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op = ".ADD." if op_symbol == "+" else ".SUB."
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left_val = left_obj.getValue(target_data)
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result_type = left_obj.var_type
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if left_obj.var_type == "Int" and right_obj.var_type == "Float":
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result_type = "Float"
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elif left_obj.var_type == "Float" and right_obj.var_type == "Int":
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result_type = "Float"
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temp = ASObject._makeTemp(left_val, result_type)
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ASOperator.apply(temp, right_obj, op, target_data)
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return temp.getValue(target_data)
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def _evaluateCondition(
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condition_str: str,
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target_data: dict,
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line: int = 0
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) -> bool:
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"""
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Evaluate a condition expression and return a boolean result.
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Supports:
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- Boolean literals: .TRUE., .FALSE.
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- .AND. / .OR. operators (lowest precedence)
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- Parenthesised sub-expressions
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- Comparison operators: .EQ., .NEQ., .BGT., .BLT., .BGE., .BLE.
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All operands are resolved as ASObject instances (via _resolveAsObject)
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and comparisons are delegated to ASOperator.compare().
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Args:
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condition_str (str): The raw condition expression from the script.
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target_data (dict): The application data dict.
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Returns:
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bool: The evaluation result.
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Raises:
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ValueError: If the expression contains unrecognised tokens or type-mismatched comparisons.
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"""
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s = condition_str.strip()
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if not s:
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return False
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or_parts = splitTopLevel(s, ".OR.")
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if len(or_parts) > 1:
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return any(
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_evaluateCondition(p.strip(), target_data, line)
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for p in or_parts
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)
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and_parts = splitTopLevel(s, ".AND.")
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if len(and_parts) > 1:
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return all(
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_evaluateCondition(p.strip(), target_data, line)
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for p in and_parts
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)
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s = s.strip()
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if s.startswith("(") and s.endswith(")"):
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return _evaluateCondition(s[1:-1], target_data, line)
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up = s.upper()
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if up == ".TRUE.":
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return True
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if up == ".FALSE.":
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return False
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for op in ASOperator._COMPARE:
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idx = up.find(op.upper())
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if idx < 0:
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continue
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left_raw = s[:idx].strip()
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right_raw = s[idx + len(op):].strip()
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try:
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left_obj = _resolveAsObject(left_raw, target_data)
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right_obj = _resolveAsObject(right_raw, target_data)
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return ASOperator.compare(left_obj, right_obj, op, target_data)
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except ValueError as e:
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raise ValueError(_errPos(line, str(e)))
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raise ValueError(
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_errPos(line, f"无法识别的条件表达式 '{condition_str}'")
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)
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def _executeSet(
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line_text: str,
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target_data: dict,
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line: int = 0
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):
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"""
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Execute a SET statement to assign a value to a field or script variable.
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Parses the line as "SET field_name = value_expr", resolves the value,
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and assigns it. If the target field does not exist, a new script variable
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is created with an inferred type.
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Args:
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line (str): The raw SET line from the script.
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target_data (dict): The application data dict.
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Raises:
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ValueError: If the value string contains unexpected extra tokens.
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"""
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rest = line_text[3:].strip()
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eq_idx = rest.find("=")
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if eq_idx < 0:
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return
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field_name = rest[:eq_idx].strip()
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value_str = rest[eq_idx + 1:].strip()
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if not field_name:
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return
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resolved = _resolveValue(value_str, target_data)
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stripped = value_str.strip()
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if resolved == "" and stripped not in ("''", '""') and len(stripped.split()) > 1:
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try:
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resolved = _resolveArithExpr(stripped, target_data, line)
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except ValueError as e:
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raise ValueError(_errPos(line, str(e)))
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if resolved is None:
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raise ValueError(_errPos(line, f"SET 值中存在多余内容 '{stripped}'"))
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upper_name = field_name.upper().strip()
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obj = _FIELD_MAP.get(upper_name)
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if not obj:
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obj = _SCRIPT_VARS.get(upper_name)
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if obj:
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try:
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obj.setValue(resolved, target_data)
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except ValueError as e:
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raise ValueError(_errPos(line, str(e)))
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return
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inferred_type = _inferType(resolved, stripped)
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new_var = ASObject(
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upper_name,
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inferred_type,
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read_only=False,
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is_config=False,
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default_value=resolved
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)
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_SCRIPT_VARS[upper_name] = new_var
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def _executeOperation(
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line_text: str,
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target_data: dict,
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line: int = 0
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):
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"""
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Execute a field operation statement: "FIELD .ADD. N" or "FIELD .SUB. N".
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Resolves the left side as a registered ASObject and the right side
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as a temporary numeric ASObject, then delegates to ASOperator.apply().
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Args:
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line (str): The raw operation line from the script (e.g. "RESERVE_DATE .ADD. 1").
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target_data (dict): The application data dict.
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Raises:
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ValueError: If the field is unknown, the operand is invalid,
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or the type does not support the operation.
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"""
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parts = line_text.split()
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if len(parts) < 3:
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return
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if len(parts) > 3:
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raise ValueError(
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_errPos(line, f"操作语句中存在多余内容 '{' '.join(parts[3:])}'")
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)
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field_name = parts[0].upper().strip()
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op = parts[1].upper().strip()
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raw_value = parts[2].strip()
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target = _resolveFieldObj(field_name)
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if target is None:
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raise ValueError(_errPos(line, f"未知字段 '{field_name}'"))
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try:
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operand = _resolveAsObject(raw_value, target_data)
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ASOperator.apply(target, operand, op, target_data)
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except ValueError as e:
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raise ValueError(_errPos(line, str(e)))
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def addTargetVar(
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name: str,
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var_type: str,
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key_path: list,
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display_name: str = None
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):
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"""
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Register a new target variable bound to a path in the application data dict.
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Once registered, the variable can be read, written, and operated on in scripts
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using its canonical name or display_name.
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Args:
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name (str): The canonical variable name (e.g. "RESERVE_DATE").
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var_type (str): The type ("Int", "Float", "Boolean", "Date", "Time", "String").
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key_path (list): The nested path into target_data, e.g. ["reserve_info", "date"].
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display_name (str): An optional Chinese alias for use in script conditions.
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Example:
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>>> addTargetVar("MY_FIELD", "String", ["custom", "field"], display_name="自定义字段")
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"""
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upper_name = name.upper().strip()
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obj = ASObject(
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upper_name,
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var_type,
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is_config=True,
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key_path=key_path,
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display_name=display_name
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)
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_TARGET_VARS[upper_name] = obj
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class _EngineExecutor(NodeVisitor):
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"""
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AST visitor that executes AutoScript against target_data.
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Walks the AST and dispatches SET / ADD / SUB operations
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via visitScript / visitIf / visitSet / visitOp / visitPass / visitUnrecog.
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"""
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def __init__(
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self,
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target_data: dict
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):
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super().__init__()
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self._target_data = target_data
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self._cur_line = 0
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@property
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def _line(self) -> int:
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"""Return current line number for _errPos calls."""
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return self._cur_line
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def _incLine(
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self
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):
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self._cur_line += 1
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def visitScript(
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self,
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_node: Script
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):
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for child in _node.body:
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child.accept(self)
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def visitIf(
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self,
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_node: IfNode
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):
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self._incLine()
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if not _node.closed:
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raise ValueError(_errPos(self._line, "IF 与 ENDIF / END IF 不匹配"))
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matched = _evaluateCondition(_node.condition, self._target_data, self._line)
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if matched:
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for child in _node.body:
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child.accept(self)
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else:
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executed = False
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for elif_node in _node.elif_branches:
|
|
self._incLine()
|
|
if _evaluateCondition(elif_node.condition, self._target_data, self._line):
|
|
for child in elif_node.body:
|
|
child.accept(self)
|
|
executed = True
|
|
break
|
|
if not executed and _node.else_body:
|
|
self._incLine()
|
|
for child in _node.else_body:
|
|
child.accept(self)
|
|
|
|
|
|
def visitSet(
|
|
self,
|
|
_node: SetNode
|
|
):
|
|
|
|
self._incLine()
|
|
full_line = f"SET {_node.target} = {_node.value}"
|
|
_executeSet(full_line, self._target_data, self._line)
|
|
|
|
|
|
def visitOp(
|
|
self,
|
|
_node: OpNode
|
|
):
|
|
|
|
self._incLine()
|
|
op_upper = _node.op_type.upper()
|
|
full_line = f"{_node.target} .{op_upper}. {_node.value}"
|
|
_executeOperation(full_line, self._target_data, self._line)
|
|
|
|
|
|
def visitPass(
|
|
self,
|
|
_node: PassNode
|
|
):
|
|
|
|
self._incLine()
|
|
|
|
|
|
def visitUnrecog(
|
|
self,
|
|
_node: UnrecogNode
|
|
):
|
|
|
|
self._incLine()
|
|
upper = _node.raw_line.upper().strip()
|
|
if upper.startswith("IF"):
|
|
paren_open = upper.find("(")
|
|
if paren_open < 0:
|
|
raise ValueError(_errPos(self._line, "IF 缺少左括号"))
|
|
depth = 1
|
|
for ci in range(paren_open + 1, len(upper)):
|
|
if upper[ci] == "(":
|
|
depth += 1
|
|
elif upper[ci] == ")":
|
|
depth -= 1
|
|
if depth == 0:
|
|
remaining = upper[ci + 1:].strip()
|
|
if remaining and remaining != "THEN":
|
|
raise ValueError(_errPos(self._line, f"IF 条件后存在多余内容 '{remaining}'"))
|
|
break
|
|
if depth > 0:
|
|
raise ValueError(_errPos(self._line, "IF 缺少右括号"))
|
|
elif upper.startswith("ELSE IF"):
|
|
paren_open = upper.find("(")
|
|
if paren_open < 0:
|
|
raise ValueError(_errPos(self._line, "ELSE IF 缺少左括号"))
|
|
raise ValueError(_errPos(self._line, f"无法识别的语法 '{_node.raw_line}'"))
|
|
|
|
|
|
def execute(
|
|
script_text: str,
|
|
target_data: dict
|
|
):
|
|
"""
|
|
Execute an AutoScript on the given target data.
|
|
|
|
Parses the script into an AST via ASTokenizer.parse(),
|
|
then walks the tree with a visitor to evaluate conditions
|
|
and dispatch SET / ADD / SUB operations.
|
|
|
|
Args:
|
|
script_text (str): The AutoScript source code.
|
|
target_data (dict): The application data dict to read from / write to.
|
|
|
|
Raises:
|
|
ValueError: On syntax errors, unbalanced IF/END IF, unknown fields, etc.
|
|
"""
|
|
|
|
_buildFieldMap()
|
|
if not script_text or not script_text.strip():
|
|
return
|
|
ast = ASTokenizer.parse(script_text)
|
|
if not ast.body:
|
|
return
|
|
executor = _EngineExecutor(target_data)
|
|
ast.accept(executor)
|