project map script | semantic parcer

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2026-01-01 16:58:21 +03:00
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# [DEF:generate_semantic_map:Module]
#
# @SEMANTICS: semantic_analysis, parser, map_generator, compliance_checker
# @PURPOSE: Scans the codebase to generate a Semantic Map and Compliance Report based on the System Standard.
# @LAYER: DevOps/Tooling
# @RELATION: READS -> FileSystem
# @RELATION: PRODUCES -> semantics/semantic_map.json
# @RELATION: PRODUCES -> specs/project_map.md
# @RELATION: PRODUCES -> semantics/reports/semantic_report_*.md
# [SECTION: IMPORTS]
import os
import re
import json
import datetime
from typing import Dict, List, Optional, Any, Pattern, Tuple
# [/SECTION]
# [SECTION: CONFIGURATION]
PROJECT_ROOT = "."
IGNORE_DIRS = {
".git", "__pycache__", "node_modules", "venv", ".pytest_cache",
".kilocode", "backups", "logs", "semantics", "specs"
}
IGNORE_FILES = {
"package-lock.json", "poetry.lock", "yarn.lock"
}
OUTPUT_JSON = "semantics/semantic_map.json"
OUTPUT_COMPRESSED_MD = "specs/project_map.md"
REPORTS_DIR = "semantics/reports"
MANDATORY_TAGS = {
"Module": ["PURPOSE", "LAYER"],
"Component": ["PURPOSE", "LAYER"],
"Function": ["PURPOSE"],
"Class": ["PURPOSE"]
}
# [/SECTION]
# [DEF:SemanticEntity:Class]
# @PURPOSE: Represents a code entity (Module, Function, Component) found during parsing.
# @INVARIANT: start_line is always set; end_line is set upon closure.
class SemanticEntity:
def __init__(self, name: str, type_: str, start_line: int, file_path: str):
self.name = name
self.type = type_
self.start_line = start_line
self.end_line: Optional[int] = None
self.file_path = file_path
self.tags: Dict[str, str] = {}
self.relations: List[Dict[str, str]] = []
self.children: List['SemanticEntity'] = []
self.parent: Optional['SemanticEntity'] = None
self.compliance_issues: List[str] = []
# [DEF:to_dict:Function]
# @PURPOSE: Serializes the entity to a dictionary for JSON output.
# @RETURN: Dict representation of the entity.
def to_dict(self) -> Dict[str, Any]:
return {
"name": self.name,
"type": self.type,
"start_line": self.start_line,
"end_line": self.end_line,
"tags": self.tags,
"relations": self.relations,
"children": [c.to_dict() for c in self.children],
"compliance": {
"valid": len(self.compliance_issues) == 0,
"issues": self.compliance_issues
}
}
# [/DEF:to_dict:Function]
# [DEF:validate:Function]
# @PURPOSE: Checks for semantic compliance (closure, mandatory tags).
# @POST: Populates self.compliance_issues.
def validate(self):
# 1. Check Closure
if self.end_line is None:
self.compliance_issues.append(f"Unclosed Anchor: [DEF:{self.name}:{self.type}] started at line {self.start_line}")
# 2. Check Mandatory Tags
required = MANDATORY_TAGS.get(self.type, [])
for req_tag in required:
found = False
for existing_tag in self.tags:
if existing_tag.upper() == req_tag:
found = True
break
if not found:
self.compliance_issues.append(f"Missing Mandatory Tag: @{req_tag}")
# Recursive validation
for child in self.children:
child.validate()
# [/DEF:validate:Function]
# [DEF:get_score:Function]
# @PURPOSE: Calculates a compliance score (0.0 to 1.0).
# @RETURN: Float score.
def get_score(self) -> float:
if self.end_line is None:
return 0.0
score = 1.0
required = MANDATORY_TAGS.get(self.type, [])
if required:
found_count = 0
for req_tag in required:
for existing_tag in self.tags:
if existing_tag.upper() == req_tag:
found_count += 1
break
if found_count < len(required):
# Penalty proportional to missing tags
score -= 0.5 * (1 - (found_count / len(required)))
return max(0.0, score)
# [/DEF:get_score:Function]
# [/DEF:SemanticEntity:Class]
# [DEF:get_patterns:Function]
# @PURPOSE: Returns regex patterns for a specific language.
# @PARAM: lang (str) - 'python' or 'svelte_js'
# @RETURN: Dict containing compiled regex patterns.
def get_patterns(lang: str) -> Dict[str, Pattern]:
if lang == "python":
return {
"anchor_start": re.compile(r"#\s*\[DEF:(?P<name>[\w\.]+):(?P<type>\w+)\]"),
"anchor_end": re.compile(r"#\s*\[/DEF:(?P<name>[\w\.]+):(?P<type>\w+)\]"),
"tag": re.compile(r"#\s*@(?P<tag>[A-Z_]+):\s*(?P<value>.*)"),
"relation": re.compile(r"#\s*@RELATION:\s*(?P<type>\w+)\s*->\s*(?P<target>.*)"),
}
else:
return {
"html_anchor_start": re.compile(r"<!--\s*\[DEF:(?P<name>[\w\.]+):(?P<type>\w+)\]\s*-->"),
"html_anchor_end": re.compile(r"<!--\s*\[/DEF:(?P<name>[\w\.]+):(?P<type>\w+)\]\s*-->"),
"js_anchor_start": re.compile(r"//\s*\[DEF:(?P<name>[\w\.]+):(?P<type>\w+)\]"),
"js_anchor_end": re.compile(r"//\s*\[/DEF:(?P<name>[\w\.]+):(?P<type>\w+)\]"),
"html_tag": re.compile(r"@(?P<tag>[A-Z_]+):\s*(?P<value>.*)"),
"jsdoc_tag": re.compile(r"\*\s*@(?P<tag>[a-zA-Z]+)\s+(?P<value>.*)"),
"relation": re.compile(r"//\s*@RELATION:\s*(?P<type>\w+)\s*->\s*(?P<target>.*)"),
}
# [/DEF:get_patterns:Function]
# [DEF:parse_file:Function]
# @PURPOSE: Parses a single file to extract semantic entities.
# @PARAM: full_path - Absolute path to file.
# @PARAM: rel_path - Relative path from project root.
# @PARAM: lang - Language identifier.
# @RETURN: Tuple[List[SemanticEntity], List[str]] - Entities found and global issues.
def parse_file(full_path: str, rel_path: str, lang: str) -> Tuple[List[SemanticEntity], List[str]]:
issues: List[str] = []
try:
with open(full_path, 'r', encoding='utf-8') as f:
lines = f.readlines()
except Exception as e:
return [], [f"Could not read file {rel_path}: {e}"]
stack: List[SemanticEntity] = []
file_entities: List[SemanticEntity] = []
patterns = get_patterns(lang)
for i, line in enumerate(lines):
lineno = i + 1
line = line.strip()
# 1. Check for Anchor Start
match_start = None
if lang == "python":
match_start = patterns["anchor_start"].search(line)
else:
match_start = patterns["html_anchor_start"].search(line) or patterns["js_anchor_start"].search(line)
if match_start:
name = match_start.group("name")
type_ = match_start.group("type")
entity = SemanticEntity(name, type_, lineno, rel_path)
if stack:
parent = stack[-1]
parent.children.append(entity)
entity.parent = parent
else:
file_entities.append(entity)
stack.append(entity)
continue
# 2. Check for Anchor End
match_end = None
if lang == "python":
match_end = patterns["anchor_end"].search(line)
else:
match_end = patterns["html_anchor_end"].search(line) or patterns["js_anchor_end"].search(line)
if match_end:
name = match_end.group("name")
type_ = match_end.group("type")
if not stack:
issues.append(f"{rel_path}:{lineno} Found closing anchor [/DEF:{name}:{type_}] without opening anchor.")
continue
top = stack[-1]
if top.name == name and top.type == type_:
top.end_line = lineno
stack.pop()
else:
issues.append(f"{rel_path}:{lineno} Mismatched closing anchor. Expected [/DEF:{top.name}:{top.type}], found [/DEF:{name}:{type_}].")
continue
# 3. Check for Tags/Relations
if stack:
current = stack[-1]
match_rel = patterns["relation"].search(line)
if match_rel:
current.relations.append({
"type": match_rel.group("type"),
"target": match_rel.group("target")
})
continue
match_tag = None
if lang == "python":
match_tag = patterns["tag"].search(line)
elif lang == "svelte_js":
match_tag = patterns["html_tag"].search(line)
if not match_tag and ("/*" in line or "*" in line or "//" in line):
match_tag = patterns["jsdoc_tag"].search(line)
if match_tag:
tag_name = match_tag.group("tag").upper()
tag_value = match_tag.group("value").strip()
current.tags[tag_name] = tag_value
# End of file check
if stack:
for unclosed in stack:
unclosed.compliance_issues.append(f"Unclosed Anchor at end of file (started line {unclosed.start_line})")
if unclosed.parent is None and unclosed not in file_entities:
file_entities.append(unclosed)
return file_entities, issues
# [/DEF:parse_file:Function]
# [DEF:SemanticMapGenerator:Class]
# @PURPOSE: Orchestrates the mapping process.
class SemanticMapGenerator:
def __init__(self, root_dir: str):
self.root_dir = root_dir
self.entities: List[SemanticEntity] = []
self.file_scores: Dict[str, float] = {}
self.global_issues: List[str] = []
# [DEF:run:Function]
# @PURPOSE: Main execution flow.
# @RELATION: CALLS -> _walk_and_parse
# @RELATION: CALLS -> _generate_artifacts
def run(self):
print(f"Starting Semantic Map Generation in {self.root_dir}...")
self._walk_and_parse()
self._generate_artifacts()
print("Done.")
# [/DEF:run:Function]
# [DEF:_walk_and_parse:Function]
# @PURPOSE: Recursively walks directories and triggers parsing.
def _walk_and_parse(self):
for root, dirs, files in os.walk(self.root_dir):
dirs[:] = [d for d in dirs if d not in IGNORE_DIRS]
for file in files:
if file in IGNORE_FILES:
continue
file_path = os.path.join(root, file)
rel_path = os.path.relpath(file_path, self.root_dir)
lang = None
if file.endswith(".py"):
lang = "python"
elif file.endswith((".svelte", ".js", ".ts")):
lang = "svelte_js"
if lang:
entities, issues = parse_file(file_path, rel_path, lang)
self.global_issues.extend(issues)
if entities:
self._process_file_results(rel_path, entities)
# [/DEF:_walk_and_parse:Function]
# [DEF:_process_file_results:Function]
# @PURPOSE: Validates entities and calculates file scores.
def _process_file_results(self, rel_path: str, entities: List[SemanticEntity]):
total_score = 0
count = 0
def validate_recursive(ent_list):
nonlocal total_score, count
for e in ent_list:
e.validate()
total_score += e.get_score()
count += 1
validate_recursive(e.children)
validate_recursive(entities)
self.entities.extend(entities)
self.file_scores[rel_path] = (total_score / count) if count > 0 else 0.0
# [/DEF:_process_file_results:Function]
# [DEF:_generate_artifacts:Function]
# @PURPOSE: Writes output files.
def _generate_artifacts(self):
# 1. Full JSON Map
full_map = {
"project_root": self.root_dir,
"generated_at": datetime.datetime.now().isoformat(),
"modules": [e.to_dict() for e in self.entities]
}
os.makedirs(os.path.dirname(OUTPUT_JSON), exist_ok=True)
with open(OUTPUT_JSON, 'w', encoding='utf-8') as f:
json.dump(full_map, f, indent=2)
print(f"Generated {OUTPUT_JSON}")
# 2. Compliance Report
self._generate_report()
# 3. Compressed Map (Markdown)
self._generate_compressed_map()
# [/DEF:_generate_artifacts:Function]
# [DEF:_generate_report:Function]
# @PURPOSE: Generates the Markdown compliance report.
def _generate_report(self):
timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
report_path = os.path.join(REPORTS_DIR, f"semantic_report_{timestamp}.md")
os.makedirs(REPORTS_DIR, exist_ok=True)
total_files = len(self.file_scores)
avg_score = sum(self.file_scores.values()) / total_files if total_files > 0 else 0
with open(report_path, 'w', encoding='utf-8') as f:
f.write(f"# Semantic Compliance Report\n\n")
f.write(f"**Generated At:** {datetime.datetime.now().isoformat()}\n")
f.write(f"**Global Compliance Score:** {avg_score:.1%}\n")
f.write(f"**Scanned Files:** {total_files}\n\n")
if self.global_issues:
f.write("## Critical Parsing Errors\n")
for issue in self.global_issues:
f.write(f"- 🔴 {issue}\n")
f.write("\n")
f.write("## File Compliance Status\n")
f.write("| File | Score | Issues |\n")
f.write("|------|-------|--------|\n")
sorted_files = sorted(self.file_scores.items(), key=lambda x: x[1])
for file_path, score in sorted_files:
issues = []
self._collect_issues(self.entities, file_path, issues)
status_icon = "🟢" if score == 1.0 else "🟡" if score > 0.5 else "🔴"
issue_text = "<br>".join(issues) if issues else "OK"
f.write(f"| {file_path} | {status_icon} {score:.0%} | {issue_text} |\n")
print(f"Generated {report_path}")
# [/DEF:_generate_report:Function]
# [DEF:_collect_issues:Function]
# @PURPOSE: Helper to collect issues for a specific file from the entity tree.
def _collect_issues(self, entities: List[SemanticEntity], file_path: str, issues: List[str]):
for e in entities:
if e.file_path == file_path:
issues.extend([f"[{e.name}] {i}" for i in e.compliance_issues])
self._collect_issues(e.children, file_path, issues)
# [/DEF:_collect_issues:Function]
# [DEF:_generate_compressed_map:Function]
# @PURPOSE: Generates the token-optimized project map.
def _generate_compressed_map(self):
os.makedirs(os.path.dirname(OUTPUT_COMPRESSED_MD), exist_ok=True)
with open(OUTPUT_COMPRESSED_MD, 'w', encoding='utf-8') as f:
f.write("# Project Semantic Map\n\n")
f.write("> Compressed view for AI Context. Generated automatically.\n\n")
for entity in self.entities:
self._write_entity_md(f, entity, level=0)
print(f"Generated {OUTPUT_COMPRESSED_MD}")
# [/DEF:_generate_compressed_map:Function]
# [DEF:_write_entity_md:Function]
# @PURPOSE: Recursive helper to write entity tree to Markdown.
def _write_entity_md(self, f, entity: SemanticEntity, level: int):
indent = " " * level
icon = "📦"
if entity.type == "Component": icon = "🧩"
elif entity.type == "Function": icon = "ƒ"
elif entity.type == "Class": icon = ""
f.write(f"{indent}- {icon} **{entity.name}** (`{entity.type}`)\n")
purpose = entity.tags.get("PURPOSE") or entity.tags.get("purpose")
layer = entity.tags.get("LAYER") or entity.tags.get("layer")
if purpose:
f.write(f"{indent} - 📝 {purpose}\n")
if layer:
f.write(f"{indent} - 🏗️ Layer: {layer}\n")
for rel in entity.relations:
if rel['type'] in ['DEPENDS_ON', 'CALLS', 'INHERITS_FROM']:
f.write(f"{indent} - 🔗 {rel['type']} -> `{rel['target']}`\n")
if level < 2:
for child in entity.children:
self._write_entity_md(f, child, level + 1)
# [/DEF:_write_entity_md:Function]
# [/DEF:SemanticMapGenerator:Class]
if __name__ == "__main__":
generator = SemanticMapGenerator(PROJECT_ROOT)
generator.run()
# [/DEF:generate_semantic_map:Module]