# [DEF:generate_semantic_map:Module]
# @PURPOSE: Scans the codebase to generate a Semantic Map, Module Map, and Compliance Report based on the System Standard.
# @PRE: Valid directory containing code to scan.
# @POST: Files map.json, .ai/PROJECT_MAP.md, .ai/MODULE_MAP.md, and compliance reports generated.
# @TIER: STANDARD
# @SEMANTICS: semantic_analysis, parser, map_generator, compliance_checker, tier_validation, svelte_props, data_flow, module_map
# @LAYER: DevOps/Tooling
# @INVARIANT: All DEF anchors must have matching closing anchors; TIER determines validation strictness.
# @RELATION:  READS -> FileSystem
# @RELATION:  PRODUCES -> semantics/semantic_map.json
# @RELATION:  PRODUCES -> .ai/PROJECT_MAP.md
# @RELATION:  PRODUCES -> .ai/MODULE_MAP.md
# @RELATION:  PRODUCES -> semantics/reports/semantic_report_*.md

# [SECTION: IMPORTS]
import os
import re
import json
import datetime
import fnmatch
import argparse
from enum import Enum
from dataclasses import dataclass, field
from typing import Dict, List, Optional, Any, Pattern, Tuple, Set

# Mock belief_scope for the script itself to avoid import issues
class belief_scope:
    # [DEF:__init__:Function]
    # @TIER: TRIVIAL
    # @PURPOSE: Mock init for self-containment.
    # @PRE: name is a string.
    # @POST: Instance initialized.
    def __init__(self, name):
        self.name = name
    # [/DEF:__init__:Function]

    # [DEF:__enter__:Function]
    # @TIER: TRIVIAL
    # @PURPOSE: Mock enter.
    # @PRE: Instance initialized.
    # @POST: Returns self.
    def __enter__(self):
        return self
    # [/DEF:__enter__:Function]

    # [DEF:__exit__:Function]
    # @TIER: TRIVIAL
    # @PURPOSE: Mock exit.
    # @PRE: Context entered.
    # @POST: Context exited.
    def __exit__(self, *args):
        pass
    # [/DEF:__exit__:Function]
# [/SECTION]

# [SECTION: CONFIGURATION]


class Tier(Enum):
    # [DEF:Tier:Class]
    # @TIER: TRIVIAL
    # @PURPOSE: Enumeration of semantic tiers defining validation strictness.
    CRITICAL = "CRITICAL"
    STANDARD = "STANDARD"
    TRIVIAL = "TRIVIAL"
    # [/DEF:Tier:Class]


class Severity(Enum):
    # [DEF:Severity:Class]
    # @TIER: TRIVIAL
    # @PURPOSE: Severity levels for compliance issues.
    ERROR = "ERROR"
    WARNING = "WARNING"
    INFO = "INFO"
    # [/DEF:Severity:Class]


PROJECT_ROOT = "."
IGNORE_DIRS = {
    ".git", "__pycache__", "node_modules", "venv", ".pytest_cache",
    ".kilocode", "backups", "logs", "semantics", "specs", ".venv"
}
IGNORE_FILES = {
    "package-lock.json", "poetry.lock", "yarn.lock"
}
IGNORE_PATH_PREFIXES = {
    ".ai/shots/"
}
IGNORE_EXACT_PATHS = {
    ".ai/shots"
}
OUTPUT_JSON = "semantics/semantic_map.json"
OUTPUT_COMPRESSED_MD = ".ai/PROJECT_MAP.md"
OUTPUT_MODULE_MAP_MD = ".ai/MODULE_MAP.md"
REPORTS_DIR = "semantics/reports"

# Tier-based mandatory tags aligned with .ai/standards/semantics.md
TIER_MANDATORY_TAGS = {
    Tier.CRITICAL: {
        "Module": ["PURPOSE", "LAYER", "SEMANTICS", "TIER", "INVARIANT", "RELATION"],
        "Component": ["PURPOSE", "LAYER", "SEMANTICS", "TIER", "INVARIANT", "RELATION", "UX_STATE", "UX_FEEDBACK", "UX_RECOVERY", "UX_REACTIVITY"],
        "Function": ["PURPOSE", "PRE", "POST", "SIDE_EFFECT", "DATA_CONTRACT", "TEST_CONTRACT", "TEST_SCENARIO", "TEST_FIXTURE", "TEST_EDGE", "TEST_INVARIANT"],
        "Class": ["PURPOSE", "TIER", "INVARIANT"],
        "Store": ["PURPOSE", "TIER", "INVARIANT"],
        "Block": ["PURPOSE", "TIER"]
    },
    Tier.STANDARD: {
        "Module": ["PURPOSE", "LAYER", "SEMANTICS", "TIER", "RELATION"],
        "Component": ["PURPOSE", "LAYER", "SEMANTICS", "TIER", "RELATION", "UX_STATE", "UX_REACTIVITY"],
        "Function": ["PURPOSE", "PRE", "POST", "SIDE_EFFECT", "DATA_CONTRACT"],
        "Class": ["PURPOSE", "TIER"],
        "Store": ["PURPOSE", "TIER"],
        "Block": ["PURPOSE"]
    },
    Tier.TRIVIAL: {
        "Module": ["PURPOSE"],
        "Component": ["PURPOSE"],
        "Function": ["PURPOSE"],
        "Class": ["PURPOSE"],
        "Store": ["PURPOSE"],
        "Block": ["PURPOSE"]
    }
}

ALLOWED_RELATION_PREDICATES = {
    "DEPENDS_ON", "CALLS", "INHERITS", "IMPLEMENTS", "DISPATCHES", "BINDS_TO"
}

# Tier-based belief state requirements
TIER_BELIEF_REQUIRED = {
    Tier.CRITICAL: True,
    Tier.STANDARD: True,
    Tier.TRIVIAL: False
}

# [/SECTION]

# [DEF:ComplianceIssue:Class]
# @TIER: TRIVIAL
# @PURPOSE: Represents a single compliance issue with severity.
@dataclass
class ComplianceIssue:
    message: str
    severity: Severity
    line_number: Optional[int] = None

    def to_dict(self) -> Dict[str, Any]:
        return {
            "message": self.message,
            "severity": self.severity.value,
            "line_number": self.line_number
        }
# [/DEF:ComplianceIssue:Class]


# [DEF:SemanticEntity:Class]
# @TIER: CRITICAL
# @PURPOSE: Represents a code entity (Module, Function, Component) found during parsing.
# @INVARIANT: start_line is always set; end_line is set upon closure; tier defaults to STANDARD.
class SemanticEntity:
    # [DEF:__init__:Function]
    # @TIER: STANDARD
    # @PURPOSE: Initializes a new SemanticEntity instance.
    # @PRE:     name, type_, start_line, file_path are provided.
    # @POST:    Instance is initialized with default values.
    def __init__(self, name: str, type_: str, start_line: int, file_path: str):
        with belief_scope("__init__"):
            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[ComplianceIssue] = []
            self.has_belief_scope: bool = False
            self.has_console_log: bool = False
            # New fields for enhanced Svelte analysis
            self.props: List[Dict[str, Any]] = []
            self.events: List[str] = []
            self.data_flow: List[Dict[str, str]] = []
            self.has_export_let: bool = False
            self.has_reactive_label: bool = False
            self.has_runes: bool = False
    # [/DEF:__init__:Function]

    # [DEF:get_tier:Function]
    # @TIER: STANDARD
    # @PURPOSE: Returns the tier of the entity, defaulting to STANDARD.
    # @PRE:     tags dictionary is accessible.
    # @POST:    Returns Tier enum value.
    def get_tier(self) -> Tier:
        with belief_scope("get_tier"):
            tier_str = self.tags.get("TIER", "STANDARD").upper()
            try:
                base_tier = Tier(tier_str)
            except ValueError:
                base_tier = Tier.STANDARD

            # Dynamic Tier Adjustments based on User Feedback

            # 1. Tests should never be higher than STANDARD
            if "test" in self.file_path.lower() or "/__tests__/" in self.file_path or self.name.startswith("test_"):
                if base_tier == Tier.CRITICAL:
                    return Tier.STANDARD

            # 2. Svelte components -> TRIVIAL/STANDARD (unless layout/page)
            if self.file_path.endswith(".svelte"):
                if "+page" not in self.name and "+layout" not in self.name and "Page" not in self.name and "Layout" not in self.name:
                    if base_tier == Tier.CRITICAL:
                        return Tier.STANDARD

            # 3. Tooling scripts
            if "scripts/" in self.file_path or "_tui.py" in self.file_path:
                if base_tier == Tier.CRITICAL:
                    return Tier.STANDARD
            
            # 4. Promote critical security/data paths
            critical_keywords = ["auth", "security", "jwt", "database", "migration", "config", "session"]
            if any(keyword in self.file_path.lower() for keyword in critical_keywords) and "test" not in self.file_path.lower():
                # Allow explicit overrides to lower tiers if explicitly tagged TRIVIAL, otherwise promote logic mapping
                if base_tier != Tier.TRIVIAL: 
                    return Tier.CRITICAL

            return base_tier
    # [/DEF:get_tier:Function]

    # [DEF:to_dict:Function]
    # @TIER: STANDARD
    # @PURPOSE: Serializes the entity to a dictionary for JSON output.
    # @PRE:     Entity is fully populated.
    # @POST:    Returns a dictionary representation.
    def to_dict(self) -> Dict[str, Any]:
        with belief_scope("to_dict"):
            result = {
                "name": self.name,
                "type": self.type,
                "tier": self.get_tier().value,
                "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([i for i in self.compliance_issues if i.severity == Severity.ERROR]) == 0,
                    "issues": [i.to_dict() for i in self.compliance_issues],
                    "score": self.get_score()
                }
            }
            if self.props:
                result["props"] = self.props
            if self.events:
                result["events"] = self.events
            if self.data_flow:
                result["data_flow"] = self.data_flow
            return result
    # [/DEF:to_dict:Function]

    # [DEF:validate:Function]
    # @TIER: CRITICAL
    # @PURPOSE: Checks for semantic compliance based on TIER requirements.
    # @PRE:     Entity structure is complete; tier is determined.
    # @POST:    Populates self.compliance_issues with severity levels.
    # @SIDE_EFFECT: Modifies self.compliance_issues list.
    def validate(self):
        with belief_scope("validate"):
            tier = self.get_tier()

            # 1. Check Closure (required for ALL tiers)
            if self.end_line is None:
                self.compliance_issues.append(ComplianceIssue(
                    f"Unclosed Anchor: [DEF:{self.name}:{self.type}] started at line {self.start_line}",
                    Severity.ERROR,
                    self.start_line
                ))

            # 2. Check Mandatory Tags based on TIER
            required = TIER_MANDATORY_TAGS.get(tier, {}).get(self.type, [])
            for req_tag in required:
                found = False
                if req_tag == "RELATION" and len(self.relations) > 0:
                    found = True
                else:
                    for existing_tag in self.tags:
                        if existing_tag.upper() == req_tag:
                            found = True
                            break
                if not found:
                    severity = Severity.ERROR if tier == Tier.CRITICAL else Severity.WARNING
                    self.compliance_issues.append(ComplianceIssue(
                        f"Missing Mandatory Tag: @{req_tag} (required for {tier.value} tier)",
                        severity,
                        self.start_line
                    ))

            # 3. Validate relation predicates against GRACE-Poly allowlist
            for rel in self.relations:
                rel_type = rel.get("type", "").upper()
                if rel_type and rel_type not in ALLOWED_RELATION_PREDICATES:
                    self.compliance_issues.append(ComplianceIssue(
                        f"Invalid @RELATION predicate: {rel_type}. Allowed: {', '.join(sorted(ALLOWED_RELATION_PREDICATES))}",
                        Severity.ERROR if tier == Tier.CRITICAL else Severity.WARNING,
                        self.start_line
                    ))

            # 4. Check for Belief State Logging based on TIER
            if self.type == "Function":
                belief_required = TIER_BELIEF_REQUIRED.get(tier, False)
                if belief_required:
                    is_python = self.file_path.endswith(".py")
                    has_belief = self.has_belief_scope if is_python else self.has_console_log

                    if not has_belief:
                        # Check if it's a special case (logger.py or mock functions)
                        if "logger.py" not in self.file_path and "__" not in self.name:
                            severity = Severity.ERROR if tier == Tier.CRITICAL else Severity.WARNING
                            log_type = "belief_scope / molecular methods" if is_python else "console.log with [ID][STATE]"
                            self.compliance_issues.append(ComplianceIssue(
                                f"Missing Belief State Logging: Function should use {log_type} (required for {tier.value} tier)",
                                severity,
                                self.start_line
                            ))

            # 5. Check for @INVARIANT in CRITICAL tier
            if tier == Tier.CRITICAL and self.type in ["Module", "Component", "Class"]:
                if "INVARIANT" not in [k.upper() for k in self.tags.keys()]:
                    self.compliance_issues.append(ComplianceIssue(
                        f"Missing @INVARIANT tag (required for CRITICAL tier)",
                        Severity.ERROR,
                        self.start_line
                    ))

            # 6. Validate modern Svelte reactivity protocol
            if self.type == "Component" and self.file_path.endswith(".svelte"):
                strict_severity = Severity.ERROR if tier == Tier.CRITICAL else Severity.WARNING

                if self.has_export_let:
                    self.compliance_issues.append(ComplianceIssue(
                        "Svelte protocol violation: `export let` is forbidden; use `$props()`",
                        strict_severity,
                        self.start_line
                    ))

                if self.has_reactive_label:
                    self.compliance_issues.append(ComplianceIssue(
                        "Svelte protocol violation: `$:` reactive label is forbidden; use runes `$state/$derived/$effect`",
                        strict_severity,
                        self.start_line
                    ))

            # 7. Validate module length limit
            if self.type == "Module" and self.end_line is not None:
                module_length = self.end_line - self.start_line + 1
                if module_length >= 300:
                    self.compliance_issues.append(ComplianceIssue(
                        f"Fractal limit warning: Module length is {module_length} lines (must be < 300)",
                        Severity.WARNING,
                        self.start_line
                    ))

            # Recursive validation
            for child in self.children:
                child.validate()
    # [/DEF:validate:Function]

    # [DEF:get_score:Function]
    # @TIER: STANDARD
    # @PURPOSE: Calculates a compliance score (0.0 to 1.0) based on tier requirements.
    # @PRE:     validate() has been called.
    # @POST:    Returns a float score.
    def get_score(self) -> float:
        with belief_scope("get_score"):
            if self.end_line is None:
                return 0.0

            tier = self.get_tier()
            score = 1.0

            # Dynamic penalties based on Tier
            error_penalty = 0.5 if tier == Tier.CRITICAL else 0.3
            warning_penalty = 0.15

            # Count issues by severity
            errors = len([i for i in self.compliance_issues if i.severity == Severity.ERROR])
            warnings = len([i for i in self.compliance_issues if i.severity == Severity.WARNING])

            # Penalties
            score -= errors * error_penalty
            score -= warnings * warning_penalty

            # Check mandatory tags
            required = TIER_MANDATORY_TAGS.get(tier, {}).get(self.type, [])
            if required:
                found_count = 0
                for req_tag in required:
                    found = False
                    if req_tag == "RELATION" and len(self.relations) > 0:
                        found = True
                    else:
                        for existing_tag in self.tags:
                            if existing_tag.upper() == req_tag:
                                found_count += 1
                                found = True
                                break
                if found_count < len(required):
                    missing_ratio = 1 - (found_count / len(required))
                    score -= 0.3 * missing_ratio

            return max(0.0, score)
    # [/DEF:get_score:Function]
# [/DEF:SemanticEntity:Class]


# [DEF:get_patterns:Function]
# @TIER: STANDARD
# @PURPOSE: Returns regex patterns for a specific language.
# @PRE:     lang is either 'python' or 'svelte_js'.
# @POST:    Returns a dictionary of compiled regex patterns.
# @PARAM:   lang (str) - 'python' or 'svelte_js'
def get_patterns(lang: str) -> Dict[str, Pattern]:
    with belief_scope("get_patterns"):
        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*\[?(?P<target>[^\]]+)\]?"),
                "func_def": re.compile(r"^\s*(async\s+)?def\s+(?P<name>\w+)"),
                "belief_scope": re.compile(r"with\s+(\w+\.)?belief_scope\(|@believed\("),
                "molecular_log": re.compile(r"logger\.(explore|reason|reflect)\("),
            }
        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*:?\s*(?P<value>.*)"),
                "relation": re.compile(r"//\s*@RELATION:\s*\[?(?P<type>\w+)\]?\s*->\s*\[?(?P<target>[^\]]+)\]?"),
                "func_def": re.compile(r"^\s*(export\s+)?(async\s+)?function\s+(?P<name>\w+)"),
                "console_log": re.compile(r"console\.(info|warn|debug)\s*\(\s*['\"`]\[[\w\.-]+\]\[(EXPLORE|REASON|REFLECT|[A-Za-z0-9_:]+)\]"),
                # Svelte-specific patterns
                "export_let": re.compile(r"export\s+let\s+(?P<name>\w+)(?:\s*:\s*(?P<type>[\w\[\]|<>]+))?(?:\s*=\s*(?P<default>[^;]+))?"),
                "reactive_label": re.compile(r"^\s*\$:\s*"),
                "runes_usage": re.compile(r"\$(state|derived|effect|props)\s*\("),
                "create_event_dispatcher": re.compile(r"createEventDispatcher\s*<\s*\{\s*(?P<events>[^}]+)\s*\}\s*\>"),
                "dispatch_call": re.compile(r"dispatch\s*\(\s*['\"](?P<event>\w+)['\"]"),
                "store_subscription": re.compile(r"\$(?P<store>\w+)"),
                "store_import": re.compile(r"import\s*\{[^}]*\b(?P<store>\w+Store|store)\b[^}]*\}\s*from\s*['\"][^'\"]*stores?[^'\"]*['\"]"),
            }
# [/DEF:get_patterns:Function]


# [DEF:extract_svelte_props:Function]
# @TIER: STANDARD
# @PURPOSE: Extracts props from Svelte component script section.
# @PRE:     lines is a list of file lines, start_idx is the starting line index.
# @POST:    Returns list of prop definitions.
def extract_svelte_props(lines: List[str], start_idx: int) -> List[Dict[str, Any]]:
    with belief_scope("extract_svelte_props"):
        props = []
        pattern = re.compile(r"export\s+let\s+(?P<name>\w+)(?:\s*:\s*(?P<type>[\w\[\]|<>\s]+))?(?:\s*=\s*(?P<default>[^;]+))?;")

        for i in range(start_idx, min(start_idx + 100, len(lines))):  # Look ahead 100 lines
            line = lines[i].strip()
            # Stop at script end or function definitions
            if line == "</script>" or line.startswith("function ") or line.startswith("const "):
                break

            match = pattern.search(line)
            if match:
                prop = {
                    "name": match.group("name"),
                    "type": match.group("type") if match.group("type") else "any",
                    "default": match.group("default").strip() if match.group("default") else None
                }
                props.append(prop)

        return props
# [/DEF:extract_svelte_props:Function]


# [DEF:extract_svelte_events:Function]
# @TIER: STANDARD
# @PURPOSE: Extracts dispatched events from Svelte component.
# @PRE:     lines is a list of file lines.
# @POST:    Returns list of event names.
def extract_svelte_events(lines: List[str]) -> List[str]:
    with belief_scope("extract_svelte_events"):
        events = set()

        # Pattern 1: createEventDispatcher with type definition
        dispatcher_pattern = re.compile(r"createEventDispatcher\s*<\s*\{\s*([^}]+)\s*\}\s*\>")
        # Pattern 2: dispatch('eventName')
        dispatch_pattern = re.compile(r"dispatch\s*\(\s*['\"](\w+)['\"]")

        for line in lines:
            line = line.strip()

            # Check for typed dispatcher
            match = dispatcher_pattern.search(line)
            if match:
                events_str = match.group(1)
                # Extract event names from type definition like: submit: Type; cancel: Type
                for event_def in events_str.split(";"):
                    if ":" in event_def:
                        event_name = event_def.split(":")[0].strip()
                        if event_name:
                            events.add(event_name)

            # Check for dispatch calls
            match = dispatch_pattern.search(line)
            if match:
                events.add(match.group(1))

        return sorted(list(events))
# [/DEF:extract_svelte_events:Function]


# [DEF:extract_data_flow:Function]
# @TIER: STANDARD
# @PURPOSE: Extracts store subscriptions and data flow from Svelte component.
# @PRE:     lines is a list of file lines.
# @POST:    Returns list of data flow descriptors.
def extract_data_flow(lines: List[str]) -> List[Dict[str, str]]:
    with belief_scope("extract_data_flow"):
        data_flow = []

        # Pattern for store subscriptions: $storeName
        subscription_pattern = re.compile(r"\$(?P<store>\w+)")
        # Pattern for store imports
        import_pattern = re.compile(r"import\s*\{[^}]*\}\s*from\s*['\"][^'\"]*stores?[^'\"]*['\"]")

        store_names = set()

        # First pass: find store imports
        for line in lines:
            if import_pattern.search(line):
                # Extract imported names
                match = re.search(r"import\s*\{([^}]+)\}", line)
                if match:
                    imports = match.group(1).split(",")
                    for imp in imports:
                        store_names.add(imp.strip().split()[0])

        # Second pass: find subscriptions
        for i, line in enumerate(lines):
            line_stripped = line.strip()

            # Skip comments
            if line_stripped.startswith("//") or line_stripped.startswith("*"):
                continue

            # Find store subscriptions
            for match in subscription_pattern.finditer(line):
                store_name = match.group("store")
                if store_name not in ["if", "while", "for", "switch"]:
                    flow_type = "READS_FROM"
                    # Check if it's an assignment (write)
                    if "=" in line and line.index("$") > line.index("="):
                        flow_type = "WRITES_TO"

                    data_flow.append({
                        "store": store_name,
                        "type": flow_type,
                        "line": i + 1
                    })

        return data_flow
# [/DEF:extract_data_flow:Function]


# [DEF:parse_file:Function]
# @TIER: CRITICAL
# @PURPOSE: Parses a single file to extract semantic entities with tier awareness and enhanced Svelte analysis.
# @PRE:     full_path, rel_path, lang are valid strings.
# @POST:    Returns extracted entities and list of issues.
# @INVARIANT: Every opened anchor must have a matching closing anchor for valid compliance.
# @PARAM:   full_path - Absolute path to file.
# @PARAM:   rel_path - Relative path from project root.
# @PARAM:   lang - Language identifier.
def parse_file(full_path: str, rel_path: str, lang: str) -> Tuple[List[SemanticEntity], List[ComplianceIssue]]:
    with belief_scope("parse_file"):
        issues: List[ComplianceIssue] = []
        try:
            with open(full_path, 'r', encoding='utf-8') as f:
                lines = f.readlines()
        except Exception as e:
            return [], [ComplianceIssue(f"Could not read file {rel_path}: {e}", Severity.ERROR)]

        stack: List[SemanticEntity] = []
        file_entities: List[SemanticEntity] = []
        orphan_functions: List[SemanticEntity] = []
        patterns = get_patterns(lang)

        # Track current module for grouping orphans
        current_module: Optional[SemanticEntity] = None

        for i, line in enumerate(lines):
            lineno = i + 1
            line_stripped = line.strip()

            # 1. Check for Anchor Start
            match_start = None
            if lang == "python":
                match_start = patterns["anchor_start"].search(line_stripped)
            else:
                match_start = patterns["html_anchor_start"].search(line_stripped) or patterns["js_anchor_start"].search(line_stripped)

            if match_start:
                name = match_start.group("name")
                type_ = match_start.group("type")
                entity = SemanticEntity(name, type_, lineno, rel_path)

                # Track module-level entities
                if type_ == "Module" and not stack:
                    current_module = entity

                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_stripped)
            else:
                match_end = patterns["html_anchor_end"].search(line_stripped) or patterns["js_anchor_end"].search(line_stripped)

            if match_end:
                name = match_end.group("name")
                type_ = match_end.group("type")

                if not stack:
                    issues.append(ComplianceIssue(
                        f"{rel_path}:{lineno} Found closing anchor [/DEF:{name}:{type_}] without opening anchor.",
                        Severity.ERROR,
                        lineno
                    ))
                    continue

                top = stack[-1]
                if top.name == name and top.type == type_:
                    top.end_line = lineno
                    stack.pop()
                else:
                    issues.append(ComplianceIssue(
                        f"{rel_path}:{lineno} Mismatched closing anchor. Expected [/DEF:{top.name}:{top.type}], found [/DEF:{name}:{type_}].",
                        Severity.ERROR,
                        lineno
                    ))
                continue

            # 3. Check for Naked Functions (Missing Contracts) - track as orphans
            if "func_def" in patterns:
                match_func = patterns["func_def"].search(line_stripped)
                if match_func:
                    func_name = match_func.group("name")
                    is_covered = False
                    if stack:
                        current = stack[-1]
                        if current.type == "Function" and current.name == func_name:
                            is_covered = True

                    if not is_covered:
                        # Create orphan function entity
                        orphan = SemanticEntity(func_name, "Function", lineno, rel_path)
                        orphan.tags["PURPOSE"] = f"Auto-detected function (orphan)"
                        orphan.tags["TIER"] = "TRIVIAL"
                        orphan.end_line = lineno  # Mark as closed immediately
                        orphan_functions.append(orphan)

            # 4. Check for Tags/Relations
            if stack:
                current = stack[-1]

                match_rel = patterns["relation"].search(line_stripped)
                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_stripped)
                elif lang == "svelte_js":
                    match_tag = patterns["html_tag"].search(line_stripped)
                    if not match_tag and ("/*" in line_stripped or "*" in line_stripped or "//" in line_stripped):
                         match_tag = patterns["jsdoc_tag"].search(line_stripped)

                if match_tag:
                    tag_name = match_tag.group("tag").upper()
                    tag_value = match_tag.group("value").strip()
                    current.tags[tag_name] = tag_value

                # Check for belief scope in implementation
                if lang == "python":
                    if "belief_scope" in patterns and patterns["belief_scope"].search(line):
                        current.has_belief_scope = True
                    elif "molecular_log" in patterns and patterns["molecular_log"].search(line):
                        current.has_belief_scope = True

                # Check for console logging + forbidden/required Svelte reactivity signals
                if lang == "svelte_js":
                    if "console_log" in patterns and patterns["console_log"].search(line):
                        current.has_console_log = True
                    if "export_let" in patterns and patterns["export_let"].search(line):
                        current.has_export_let = True
                    if "reactive_label" in patterns and patterns["reactive_label"].search(line):
                        current.has_reactive_label = True
                    if "runes_usage" in patterns and patterns["runes_usage"].search(line):
                        current.has_runes = True

        # End of file check
        if stack:
            for unclosed in stack:
                issues.append(ComplianceIssue(
                    f"{rel_path}: Unclosed Anchor [DEF:{unclosed.name}:{unclosed.type}] at end of file (started line {unclosed.start_line})",
                    Severity.ERROR,
                    unclosed.start_line
                ))
                if unclosed.parent is None and unclosed not in file_entities:
                     file_entities.append(unclosed)

        # Post-processing for Svelte files
        if lang == "svelte_js":
            for entity in file_entities:
                if entity.type == "Component":
                    # Extract props, events, and data flow
                    entity.props = extract_svelte_props(lines, entity.start_line)
                    entity.events = extract_svelte_events(lines)
                    entity.data_flow = extract_data_flow(lines)

        # Group orphan functions under their module
        if orphan_functions:
            if current_module:
                # Add orphans as children of the module
                for orphan in orphan_functions:
                    orphan.parent = current_module
                    current_module.children.append(orphan)
            else:
                # Create a synthetic module for orphans
                synthetic_module = SemanticEntity(
                    os.path.splitext(os.path.basename(rel_path))[0],
                    "Module",
                    1,
                    rel_path
                )
                synthetic_module.tags["PURPOSE"] = f"Auto-generated module for {rel_path}"
                synthetic_module.tags["TIER"] = "TRIVIAL"
                synthetic_module.tags["LAYER"] = "Unknown"
                synthetic_module.end_line = len(lines)

                for orphan in orphan_functions:
                    orphan.parent = synthetic_module
                    synthetic_module.children.append(orphan)

                file_entities.append(synthetic_module)

        return file_entities, issues
# [/DEF:parse_file:Function]


# [DEF:SemanticMapGenerator:Class]
# @TIER: CRITICAL
# @PURPOSE: Orchestrates the mapping process with tier-based validation.
# @INVARIANT: All entities are validated according to their TIER requirements.
class SemanticMapGenerator:
    # [DEF:__init__:Function]
    # @TIER: STANDARD
    # @PURPOSE: Initializes the generator with a root directory.
    # @PRE:     root_dir is a valid path string.
    # @POST:    Generator instance is ready.
    def __init__(self, root_dir: str):
        with belief_scope("__init__"):
            self.root_dir = root_dir
            self.entities: List[SemanticEntity] = []
            self.file_scores: Dict[str, float] = {}
            self.global_issues: List[ComplianceIssue] = []
            self.ignored_patterns = self._load_gitignore()
    # [/DEF:__init__:Function]

    # [DEF:_load_gitignore:Function]
    # @TIER: STANDARD
    # @PURPOSE: Loads patterns from .gitignore file.
    # @PRE:     .gitignore exists in root_dir.
    # @POST:    Returns set of ignore patterns.
    def _load_gitignore(self) -> Set[str]:
        with belief_scope("_load_gitignore"):
            patterns = set()
            ignore_file = os.path.join(self.root_dir, ".gitignore")
            if os.path.exists(ignore_file):
                with open(ignore_file, 'r') as f:
                    for line in f:
                        line = line.strip()
                        if line and not line.startswith("#"):
                            patterns.add(line)
            return patterns
    # [/DEF:_load_gitignore:Function]

    # [DEF:_is_ignored:Function]
    # @TIER: STANDARD
    # @PURPOSE: Checks if a path should be ignored based on .gitignore or hardcoded defaults.
    # @PRE:     rel_path is a valid relative path string.
    # @POST:    Returns True if the path should be ignored.
    def _is_ignored(self, rel_path: str) -> bool:
        with belief_scope("_is_ignored"):
            rel_path = rel_path.replace(os.sep, '/')

            if rel_path in IGNORE_EXACT_PATHS:
                return True

            for prefix in IGNORE_PATH_PREFIXES:
                if rel_path.startswith(prefix):
                    return True

            parts = rel_path.split('/')
            for part in parts:
                if part in IGNORE_DIRS:
                    return True

            if os.path.basename(rel_path) in IGNORE_FILES:
                return True

            for pattern in self.ignored_patterns:
                if pattern.endswith('/'):
                    dir_pattern = pattern.rstrip('/')
                    if rel_path == dir_pattern or rel_path.startswith(pattern):
                        return True

                if rel_path.startswith("frontend/") and fnmatch.fnmatch(rel_path[9:], pattern):
                    return True
                if rel_path.startswith("backend/") and fnmatch.fnmatch(rel_path[8:], pattern):
                    return True

                if fnmatch.fnmatch(rel_path, pattern) or \
                   fnmatch.fnmatch(os.path.basename(rel_path), pattern) or \
                   any(fnmatch.fnmatch(part, pattern) for part in parts):
                    return True

            return False
    # [/DEF:_is_ignored:Function]

    # [DEF:run:Function]
    # @TIER: CRITICAL
    # @PURPOSE: Main execution flow.
    # @PRE:     Generator is initialized.
    # @POST:    Semantic map and reports are generated.
    # @RELATION: CALLS -> _walk_and_parse
    # @RELATION: CALLS -> _generate_artifacts
    def run(self):
        with belief_scope("run"):
            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]
    # @TIER: CRITICAL
    # @PURPOSE: Recursively walks directories and triggers parsing.
    # @PRE:     root_dir exists.
    # @POST:    All files are scanned and entities extracted.
    def _walk_and_parse(self):
        with belief_scope("_walk_and_parse"):
            for root, dirs, files in os.walk(self.root_dir):
                dirs[:] = [d for d in dirs if not self._is_ignored(os.path.relpath(os.path.join(root, d), self.root_dir) + "/")]

                for file in files:
                    file_path = os.path.join(root, file)
                    rel_path = os.path.relpath(file_path, self.root_dir)

                    if self._is_ignored(rel_path):
                        continue

                    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]
    # @TIER: STANDARD
    # @PURPOSE: Validates entities and calculates file scores with tier awareness.
    # @PRE:     Entities have been parsed from the file.
    # @POST:    File score is calculated and issues collected.
    def _process_file_results(self, rel_path: str, entities: List[SemanticEntity]):
        with belief_scope("_process_file_results"):
            total_score = 0
            count = 0
            module_max_tier = Tier.TRIVIAL

            # [DEF:validate_recursive:Function]
            # @TIER: STANDARD
            # @PURPOSE: Calculate score and determine module's max tier for weighted global score
            # @PRE: Entities exist
            # @POST: Entities are validated
            def validate_recursive(ent_list):
                with belief_scope("validate_recursive"):
                    nonlocal total_score, count, module_max_tier
                    for e in ent_list:
                        e.validate()
                        total_score += e.get_score()
                        count += 1
                        
                        # Determine dominant tier for file
                        e_tier = e.get_tier()
                        if e_tier == Tier.CRITICAL:
                            module_max_tier = Tier.CRITICAL
                        elif e_tier == Tier.STANDARD and module_max_tier != Tier.CRITICAL:
                            module_max_tier = Tier.STANDARD

                        validate_recursive(e.children)
            # [/DEF:validate_recursive:Function]

            validate_recursive(entities)

            self.entities.extend(entities)
            
            # Store both the score and the dominating tier for weighted global calculation
            file_score = (total_score / count) if count > 0 else 0.0
            self.file_scores[rel_path] = {"score": file_score, "tier": module_max_tier}

    # [/DEF:_process_file_results:Function]

    # [DEF:_generate_artifacts:Function]
    # @TIER: CRITICAL
    # @PURPOSE: Writes output files with tier-based compliance data.
    # @PRE:     Parsing and validation are complete.
    # @POST:    JSON and Markdown artifacts are written to disk.
    def _generate_artifacts(self):
        with belief_scope("_generate_artifacts"):
            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}")

            self._generate_report()
            self._generate_compressed_map()
            self._generate_module_map()
    # [/DEF:_generate_artifacts:Function]

    # [DEF:_print_agent_report:Function]
    # @TIER: STANDARD
    # @PURPOSE: Prints a JSON report optimized for AI agent orchestration and control.
    # @PRE:     Validation and artifact generation are complete.
    # @POST:    JSON report printed to stdout.
    def _print_agent_report(self):
        with belief_scope("_print_agent_report"):
            # Calculate global score (re-using logic from _generate_report)
            total_weighted_score = 0
            total_weight = 0
            for file_path, data in self.file_scores.items():
                tier = data["tier"]
                score = data["score"]
                weight = 3 if tier == Tier.CRITICAL else (2 if tier == Tier.STANDARD else 1)
                total_weighted_score += score * weight
                total_weight += weight
            gs = total_weighted_score / total_weight if total_weight > 0 else 0

            # Flatten entities to get per-file issues
            file_data = {}
            def collect_recursive(entities):
                for e in entities:
                    path = e.file_path
                    if path not in file_data:
                        file_data[path] = {"issues": [], "tier": e.get_tier().value, "score": self.file_scores.get(path, {}).get("score", 0)}
                    file_data[path]["issues"].extend([i.to_dict() for i in e.compliance_issues])
                    collect_recursive(e.children)
            collect_recursive(self.entities)

            # Critical parsing errors
            cpe = []
            for path, data in file_data.items():
                for i in data["issues"]:
                    msg = i.get("message", "").lower()
                    sev = i.get("severity", "").lower()
                    if "parsing" in msg and (sev == "error" or "critical" in msg):
                        cpe.append({"file": path, "severity": i.get("severity"), "message": i.get("message")})

            # <0.7 by tier
            lt = {"CRITICAL": 0, "STANDARD": 0, "TRIVIAL": 0, "UNKNOWN": 0}
            for path, data in file_data.items():
                if data["score"] < 0.7:
                    tier = data["tier"]
                    lt[tier if tier in lt else "UNKNOWN"] += 1

            # Priority counts
            p2 = 0
            p3 = 0
            for path, data in file_data.items():
                tier = data["tier"]
                issues = data["issues"]
                if tier == "CRITICAL" and any("Missing Mandatory Tag" in i.get("message", "") for i in issues):
                    p2 += 1
                if tier == "STANDARD" and any("@RELATION" in i.get("message", "") and "Missing Mandatory Tag" in i.get("message", "") for i in issues):
                    p3 += 1

            # Target files status
            targets = [
                'frontend/src/routes/migration/+page.svelte',
                'frontend/src/routes/migration/mappings/+page.svelte',
                'frontend/src/components/auth/ProtectedRoute.svelte',
                'backend/src/core/auth/repository.py',
                'backend/src/core/migration/risk_assessor.py',
                'backend/src/api/routes/migration.py',
                'backend/src/models/config.py',
                'backend/src/services/auth_service.py',
                'backend/src/core/config_manager.py',
                'backend/src/core/migration_engine.py'
            ]
            status = []
            for t in targets:
                f = file_data.get(t)
                if not f:
                    status.append({"path": t, "found": False})
                    continue
                sc = f["score"]
                status.append({
                    "path": t,
                    "found": True,
                    "score": sc,
                    "tier": f["tier"],
                    "under_0_7": sc < 0.7,
                    "violations": len(f["issues"]) > 0,
                    "issues_count": len(f["issues"])
                })

            out = {
                "global_score": gs,
                "critical_parsing_errors_count": len(cpe),
                "critical_parsing_errors": cpe[:50],
                "lt_0_7_by_tier": lt,
                "priority_1_blockers": len(cpe),
                "priority_2_tier1_critical_missing_mandatory_tags_files": p2,
                "priority_3_tier2_standard_missing_relation_files": p3,
                "targets": status,
                "total_files": len(file_data)
            }
            print(json.dumps(out, ensure_ascii=False))
    # [/DEF:_print_agent_report:Function]

    # [DEF:_generate_report:Function]
    # @TIER: CRITICAL
    # @PURPOSE: Generates the Markdown compliance report with severity levels.
    # @PRE:     File scores and issues are available.
    # @POST:    Markdown report is created in reports directory.
    def _generate_report(self):
        with belief_scope("_generate_report"):
            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)

            total_weighted_score = 0
            total_weight = 0

            for file_path, data in self.file_scores.items():
                tier = data["tier"]
                score = data["score"]
                weight = 3 if tier == Tier.CRITICAL else (2 if tier == Tier.STANDARD else 1)
                
                total_weighted_score += score * weight
                total_weight += weight

            avg_score = total_weighted_score / total_weight if total_weight > 0 else 0

            # Count issues by severity
            error_count = len([i for i in self.global_issues if i.severity == Severity.ERROR])
            warning_count = len([i for i in self.global_issues if i.severity == Severity.WARNING])

            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")
                f.write(f"**Global Errors:** {error_count} | **Warnings:** {warning_count}\n\n")

                if self.global_issues:
                    f.write("## Critical Parsing Errors\n")
                    for issue in self.global_issues:
                        icon = "🔴" if issue.severity == Severity.ERROR else "🟡" if issue.severity == Severity.WARNING else "ℹ️"
                        f.write(f"- {icon} {issue.message}\n")
                    f.write("\n")

                f.write("## File Compliance Status\n")
                f.write("| File | Score | Tier | Issues |\n")
                f.write("|------|-------|------|--------|\n")

                # Sort logically: Critical first, then by score
                sorted_files = sorted(self.file_scores.items(), key=lambda x: (
                    0 if x[1]["tier"] == Tier.CRITICAL else (1 if x[1]["tier"] == Tier.STANDARD else 2), 
                    x[1]["score"]
                ))

                for file_path, data in sorted_files:
                    score = data["score"]
                    issues = []
                    tier = "N/A"
                    self._collect_issues(self.entities, file_path, issues, tier)
                    # Override Display Tier with the dominant tier we computed
                    tier = data["tier"].value

                    status_icon = "🟢" if score == 1.0 else "🟡" if score > 0.5 else "🔴"
                    issue_text = "<br>".join([f"{'🔴' if i.severity == Severity.ERROR else '🟡'} {i.message}" for i in issues[:3]])
                    if len(issues) > 3:
                        issue_text += f"<br>... and {len(issues) - 3} more"
                    if not issues:
                        issue_text = "OK"

                    f.write(f"| {file_path} | {status_icon} {score:.0%} | {tier} | {issue_text} |\n")

            print(f"Generated {report_path}")
    # [/DEF:_generate_report:Function]

    # [DEF:_collect_issues:Function]
    # @TIER: STANDARD
    # @PURPOSE: Helper to collect issues for a specific file from the entity tree.
    # @PRE:     entities list and file_path are valid.
    # @POST:    issues list is populated with compliance issues.
    def _collect_issues(self, entities: List[SemanticEntity], file_path: str, issues: List[ComplianceIssue], tier: str):
        with belief_scope("_collect_issues"):
            for e in entities:
                if e.file_path == file_path:
                    issues.extend(e.compliance_issues)
                    tier = e.get_tier().value
                self._collect_issues(e.children, file_path, issues, tier)
    # [/DEF:_collect_issues:Function]

    # [DEF:_generate_compressed_map:Function]
    # @TIER: CRITICAL
    # @PURPOSE: Generates the token-optimized project map with enhanced Svelte details.
    # @PRE:     Entities have been processed.
    # @POST:    Markdown project map is written.
    def _generate_compressed_map(self):
        with belief_scope("_generate_compressed_map"):
            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]
    # @TIER: CRITICAL
    # @PURPOSE: Recursive helper to write entity tree to Markdown with tier badges and enhanced details.
    # @PRE:     f is an open file handle, entity is valid.
    # @POST:    Entity details are written to the file.
    def _write_entity_md(self, f, entity: SemanticEntity, level: int):
        with belief_scope("_write_entity_md"):
            indent = "  " * level

            icon = "📦"
            if entity.type == "Component": icon = "🧩"
            elif entity.type == "Function": icon = "ƒ"
            elif entity.type == "Class": icon = "ℂ"
            elif entity.type == "Store": icon = "🗄️"
            elif entity.type == "Block": icon = "▦"

            tier_badge = ""
            tier = entity.get_tier()
            if tier == Tier.CRITICAL:
                tier_badge = " `[CRITICAL]`"
            elif tier == Tier.TRIVIAL:
                tier_badge = " `[TRIVIAL]`"

            f.write(f"{indent}- {icon} **{entity.name}** (`{entity.type}`){tier_badge}\n")

            purpose = entity.tags.get("PURPOSE") or entity.tags.get("purpose")
            layer = entity.tags.get("LAYER") or entity.tags.get("layer")
            invariant = entity.tags.get("INVARIANT")

            if purpose:
                f.write(f"{indent}  - 📝 {purpose}\n")
            if layer:
                f.write(f"{indent}  - 🏗️ Layer: {layer}\n")
            if invariant:
                f.write(f"{indent}  - 🔒 Invariant: {invariant}\n")

            # Write Props for Components
            if entity.props:
                props_str = ", ".join([f"{p['name']}: {p['type']}" for p in entity.props[:5]])
                if len(entity.props) > 5:
                    props_str += f"... (+{len(entity.props) - 5})"
                f.write(f"{indent}  - 📥 Props: {props_str}\n")

            # Write Events for Components
            if entity.events:
                events_str = ", ".join(entity.events[:5])
                if len(entity.events) > 5:
                    events_str += f"... (+{len(entity.events) - 5})"
                f.write(f"{indent}  - ⚡ Events: {events_str}\n")

            # Write Data Flow
            if entity.data_flow:
                unique_flows = {}
                for flow in entity.data_flow:
                    key = f"{flow['type']} -> {flow['store']}"
                    unique_flows[key] = flow

                for flow_key, flow in list(unique_flows.items())[:3]:
                    arrow = "⬅️" if flow['type'] == "READS_FROM" else "➡️"
                    f.write(f"{indent}  - {arrow} {flow['type']} `{flow['store']}`\n")

            # Write Relations
            for rel in entity.relations:
                if rel['type'] in ['DEPENDS_ON', 'CALLS', 'INHERITS', 'IMPLEMENTS', 'DISPATCHES', 'BINDS_TO']:
                     f.write(f"{indent}  - 🔗 {rel['type']} -> `{rel['target']}`\n")

            if level < 3:
                for child in entity.children:
                    self._write_entity_md(f, child, level + 1)
    # [/DEF:_write_entity_md:Function]

    # [DEF:_generate_module_map:Function]
    # @TIER: CRITICAL
    # @PURPOSE: Generates a module-centric map grouping entities by directory structure.
    # @PRE:     Entities have been processed.
    # @POST:    Markdown module map is written to .ai/MODULE_MAP.md.
    def _generate_module_map(self):
        with belief_scope("_generate_module_map"):
            os.makedirs(os.path.dirname(OUTPUT_MODULE_MAP_MD), exist_ok=True)

            # Group entities by directory/module
            modules: Dict[str, Dict[str, Any]] = {}

            # [DEF:_get_module_path:Function]
            # @TIER: STANDARD
            # @PURPOSE: Extracts the module path from a file path.
            # @PRE:     file_path is a valid relative path.
            # @POST:    Returns a module path string.
            def _get_module_path(file_path: str) -> str:
                with belief_scope("_get_module_path"):
                    # Convert file path to module-like path
                    parts = file_path.replace(os.sep, '/').split('/')
                    # Remove filename
                    if len(parts) > 1:
                        return '/'.join(parts[:-1])
                    return 'root'
            # [/DEF:_get_module_path:Function]

            # [DEF:_collect_all_entities:Function]
            # @TIER: STANDARD
            # @PURPOSE: Flattens entity tree for easier grouping.
            # @PRE:     entity list is valid.
            # @POST:    Returns flat list of all entities with their hierarchy.
            def _collect_all_entities(entities: List[SemanticEntity], result: List[Tuple[str, SemanticEntity]]):
                with belief_scope("_collect_all_entities"):
                    for e in entities:
                        result.append((_get_module_path(e.file_path), e))
                        _collect_all_entities(e.children, result)
            # [/DEF:_collect_all_entities:Function]

            # Collect all entities
            all_entities: List[Tuple[str, SemanticEntity]] = []
            _collect_all_entities(self.entities, all_entities)

            # Group by module path
            for module_path, entity in all_entities:
                if module_path not in modules:
                    modules[module_path] = {
                        'entities': [],
                        'files': set(),
                        'layers': set(),
                        'tiers': {'CRITICAL': 0, 'STANDARD': 0, 'TRIVIAL': 0},
                        'relations': []
                    }
                modules[module_path]['entities'].append(entity)
                modules[module_path]['files'].add(entity.file_path)
                if entity.tags.get('LAYER'):
                    modules[module_path]['layers'].add(entity.tags.get('LAYER'))
                tier = entity.get_tier().value
                modules[module_path]['tiers'][tier] = modules[module_path]['tiers'].get(tier, 0) + 1
                for rel in entity.relations:
                    modules[module_path]['relations'].append(rel)

            # Write module map
            with open(OUTPUT_MODULE_MAP_MD, 'w', encoding='utf-8') as f:
                f.write("# Module Map\n\n")
                f.write("> High-level module structure for AI Context. Generated automatically.\n\n")
                f.write(f"**Generated:** {datetime.datetime.now().isoformat()}\n\n")

                # Summary statistics
                total_modules = len(modules)
                total_entities = len(all_entities)
                f.write("## Summary\n\n")
                f.write(f"- **Total Modules:** {total_modules}\n")
                f.write(f"- **Total Entities:** {total_entities}\n\n")

                # Module hierarchy
                f.write("## Module Hierarchy\n\n")

                # Sort modules by path for consistent output
                sorted_modules = sorted(modules.items(), key=lambda x: x[0])

                for module_path, data in sorted_modules:
                    # Calculate module depth for indentation
                    depth = module_path.count('/')
                    indent = "  " * depth

                    # Module header
                    module_name = module_path.split('/')[-1] if module_path != 'root' else 'root'
                    f.write(f"{indent}### 📁 `{module_name}/`\n\n")

                    # Module metadata
                    if data['layers']:
                        layers_str = ", ".join(sorted(data['layers']))
                        f.write(f"{indent}- 🏗️ **Layers:** {layers_str}\n")

                    tiers_summary = []
                    for tier_name, count in data['tiers'].items():
                        if count > 0:
                            tiers_summary.append(f"{tier_name}: {count}")
                    if tiers_summary:
                        f.write(f"{indent}- 📊 **Tiers:** {', '.join(tiers_summary)}\n")

                    f.write(f"{indent}- 📄 **Files:** {len(data['files'])}\n")
                    f.write(f"{indent}- 📦 **Entities:** {len(data['entities'])}\n")

                    # List key entities (Modules, Classes, Components only)
                    key_entities = [e for e in data['entities'] if e.type in ['Module', 'Class', 'Component', 'Store']]
                    if key_entities:
                        f.write(f"\n{indent}**Key Entities:**\n\n")
                        for entity in sorted(key_entities, key=lambda x: (x.type, x.name))[:10]:
                            icon = "📦" if entity.type == "Module" else "ℂ" if entity.type == "Class" else "🧩" if entity.type == "Component" else "🗄️"
                            tier_badge = ""
                            if entity.get_tier() == Tier.CRITICAL:
                                tier_badge = " `[CRITICAL]`"
                            elif entity.get_tier() == Tier.TRIVIAL:
                                tier_badge = " `[TRIVIAL]`"
                            purpose = entity.tags.get('PURPOSE', '')[:60] + "..." if entity.tags.get('PURPOSE') and len(entity.tags.get('PURPOSE', '')) > 60 else entity.tags.get('PURPOSE', '')
                            f.write(f"{indent}  - {icon} **{entity.name}** ({entity.type}){tier_badge}\n")
                            if purpose:
                                f.write(f"{indent}    - {purpose}\n")

                    # External relations
                    external_relations = [r for r in data['relations'] if r['type'] in ['DEPENDS_ON', 'IMPLEMENTS', 'INHERITS']]
                    if external_relations:
                        unique_deps = {}
                        for rel in external_relations:
                            key = f"{rel['type']} -> {rel['target']}"
                            unique_deps[key] = rel
                        f.write(f"\n{indent}**Dependencies:**\n\n")
                        for rel_str in sorted(unique_deps.keys())[:5]:
                            f.write(f"{indent}  - 🔗 {rel_str}\n")

                    f.write("\n")

                # Cross-module dependency graph
                f.write("## Cross-Module Dependencies\n\n")
                f.write("```mermaid\n")
                f.write("graph TD\n")

                # Find inter-module dependencies
                for module_path, data in sorted_modules:
                    module_name = module_path.split('/')[-1] if module_path != 'root' else 'root'
                    safe_name = module_name.replace('-', '_').replace('.', '_')

                    for rel in data['relations']:
                        target = rel.get('target', '')
                        # Check if target references another module
                        for other_module in modules:
                            if other_module != module_path and other_module in target:
                                other_name = other_module.split('/')[-1]
                                safe_other = other_name.replace('-', '_').replace('.', '_')
                                f.write(f"    {safe_name}-->|{rel['type']}|{safe_other}\n")
                                break

                f.write("```\n")

            print(f"Generated {OUTPUT_MODULE_MAP_MD}")
    # [/DEF:_generate_module_map:Function]

# [/DEF:SemanticMapGenerator:Class]


if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="Generate Semantic Map and Compliance Reports")
    parser.add_argument("--agent-report", action="store_true", help="Output JSON report for AI agents")
    args = parser.parse_args()

    generator = SemanticMapGenerator(PROJECT_ROOT)
    generator.run()

    if args.agent_report:
        generator._print_agent_report()

# [/DEF:generate_semantic_map:Module]