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Codebase Call Graph Analyzer
Traces function calls, assets (model checkpoints, audio, images, configs),
URLs, environment variables, and subprocess commands across all Python files.
Usage: python analyze_codebase.py
"""
import ast
import os
import re
import sys
from pathlib import Path
from collections import defaultdict
from typing import Dict, Set, List, Tuple, Optional
# βββ Asset extension groups βββββββββββββββββββββββββββββββββββββββββββββββββββ
ASSET_EXTS = {
"model": {".pth", ".pt", ".ckpt", ".safetensors", ".bin", ".onnx", ".mar"},
"audio": {".wav", ".mp3", ".flac", ".ogg", ".m4a"},
"video": {".mp4", ".avi", ".mov", ".mkv"},
"image": {".png", ".jpg", ".jpeg", ".bmp", ".gif", ".webp"},
"config": {".json", ".yaml", ".yml", ".cfg", ".ini", ".toml", ".txt"},
"data": {".csv", ".npy", ".npz", ".pkl", ".h5", ".hdf5"},
}
# βββ Configuration ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
ROOT = Path(__file__).parent
# Directories to skip entirely
SKIP_DIRS = {"venv", "__pycache__", ".git", "node_modules", "gfpgan"}
# Starting entry points (traced in order)
ENTRY_POINTS = [
"mindfull_web_api.py",
"mindfull_pipeline.py",
"mindfull_config.py",
"simple_video_gen.py",
"simple_audio_gen.py",
"sadtalker+wav2lip/enhanced_pipeline.py",
"sadtalker+wav2lip/simple_pipeline.py",
"sadtalker+wav2lip/wav2lip/inference.py",
"sadtalker+wav2lip/sadtalker/inference.py",
"python313_compat_patch.py",
"model_manager.py",
"ollama_to_f5tts.py",
"infer_cli.py",
]
# βββ Data Structures ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
class FunctionInfo:
def __init__(self, name: str, file: str, lineno: int, is_method: bool = False, class_name: str = None):
self.name = name
self.file = file
self.lineno = lineno
self.is_method = is_method
self.class_name = class_name
self.calls: List[str] = [] # raw call names seen in body
self.docstring: Optional[str] = None
def full_name(self):
if self.class_name:
return f"{self.class_name}.{self.name}"
return self.name
def __repr__(self):
return f"<Func {self.full_name()} @ {self.file}:{self.lineno}>"
class AssetRef:
"""A non-Python file referenced as a string literal in source code."""
def __init__(self, path_str: str, asset_type: str, lineno: int, in_func: Optional[str]):
self.path_str = path_str # raw string from source
self.asset_type = asset_type # model / audio / image / config / β¦
self.lineno = lineno
self.in_func = in_func # function name, or None for module-level
self.exists = Path(path_str).exists() or Path(ROOT / path_str).exists()
def __repr__(self):
return f"<Asset {self.asset_type}:{self.path_str}>"
class FileInfo:
def __init__(self, path: str):
self.path = path # relative path from ROOT
self.imports: Dict[str, str] = {} # alias -> module string
self.from_imports: Dict[str, Tuple[str, str]] = {} # name -> (module, original_name)
self.functions: List[FunctionInfo] = []
self.classes: List[str] = []
self.top_level_calls: List[str] = [] # calls outside any function
self.third_party: Set[str] = set() # modules clearly not local
self.assets: List[AssetRef] = [] # file-path string literals
self.urls: List[Tuple[int, str, Optional[str]]] = [] # (line, url, func)
self.env_vars: List[Tuple[int, str, Optional[str]]] = [] # (line, var, func)
self.subproc_cmds: List[Tuple[int, str, Optional[str]]] = [] # (line, cmd, func)
# βββ Helpers ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def collect_py_files(root: Path) -> List[Path]:
files = []
for p in root.rglob("*.py"):
if any(skip in p.parts for skip in SKIP_DIRS):
continue
files.append(p)
return sorted(files)
def rel(path: Path) -> str:
try:
return str(path.relative_to(ROOT)).replace("\\", "/")
except ValueError:
return str(path).replace("\\", "/")
def module_to_file(module: str, from_file: Path) -> Optional[str]:
"""Try to resolve a module name to a file in the project."""
parts = module.replace(".", "/")
# Relative to the file's own directory
candidates = [
from_file.parent / (parts + ".py"),
from_file.parent / parts / "__init__.py",
ROOT / (parts + ".py"),
ROOT / parts / "__init__.py",
]
for c in candidates:
if c.exists():
return rel(c)
return None
def get_call_name(node) -> Optional[str]:
"""Extract a simple string name from a Call node."""
if isinstance(node.func, ast.Name):
return node.func.id
if isinstance(node.func, ast.Attribute):
# e.g. self.foo() -> foo, obj.method() -> method
return node.func.attr
return None
# βββ AST Parser βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def parse_file(path: Path) -> Optional[FileInfo]:
info = FileInfo(rel(path))
try:
src = path.read_text(encoding="utf-8", errors="ignore")
tree = ast.parse(src, filename=str(path))
except SyntaxError as e:
print(f" [SKIP] Syntax error in {rel(path)}: {e}")
return None
# ββ Collect imports ββββββββββββββββββββββββββββββββββββββββββ
for node in ast.walk(tree):
if isinstance(node, ast.Import):
for alias in node.names:
name = alias.asname or alias.name
info.imports[name] = alias.name
elif isinstance(node, ast.ImportFrom):
module = node.module or ""
for alias in node.names:
imported_name = alias.asname or alias.name
info.from_imports[imported_name] = (module, alias.name)
# ββ Collect functions and their calls ββββββββββββββββββββββββ
current_class = [None]
class Visitor(ast.NodeVisitor):
def __init__(self):
self._func_stack: List[FunctionInfo] = []
def visit_ClassDef(self, node):
prev = current_class[0]
current_class[0] = node.name
info.classes.append(node.name)
self.generic_visit(node)
current_class[0] = prev
def visit_FunctionDef(self, node):
self._visit_func(node)
def visit_AsyncFunctionDef(self, node):
self._visit_func(node)
def _visit_func(self, node):
fi = FunctionInfo(
name=node.name,
file=info.path,
lineno=node.lineno,
is_method=(current_class[0] is not None),
class_name=current_class[0],
)
# Docstring
if (node.body and isinstance(node.body[0], ast.Expr)
and isinstance(node.body[0].value, ast.Constant)
and isinstance(node.body[0].value.value, str)):
fi.docstring = node.body[0].value.value
# Calls inside this function's body
for child in ast.walk(node):
if isinstance(child, ast.Call):
cname = get_call_name(child)
if cname and cname not in fi.calls:
fi.calls.append(cname)
self._func_stack.append(fi)
info.functions.append(fi)
self.generic_visit(node)
self._func_stack.pop()
Visitor().visit(tree)
# Top-level calls (outside functions/classes)
for node in tree.body:
if isinstance(node, ast.Expr) and isinstance(node.value, ast.Call):
cname = get_call_name(node.value)
if cname:
info.top_level_calls.append(cname)
# ββ Asset / URL / ENV / subprocess scan βββββββββββββββββββββ
_extract_assets(tree, info)
return info
def _current_func_at_line(info: FileInfo, lineno: int) -> Optional[str]:
"""Return the innermost function name that contains `lineno`."""
# Functions are ordered by source; find last one whose lineno <= target
best = None
for fn in info.functions:
if fn.lineno <= lineno:
best = fn.full_name()
return best
_URL_RE = re.compile(r'https?://[^\s\'"\\>]+')
_ENV_GETENV = {"getenv", "environ"}
_EXEC_NAMES = {"python", "python3", "python.exe", "ffmpeg", "ffmpeg.exe",
"ffprobe", "git", "pip", "conda", "bash", "sh", "cmd", "powershell"}
def _extract_assets(tree: ast.AST, info: FileInfo) -> None:
"""Walk the AST and pull out asset paths, URLs, env vars, subprocess calls."""
# ββ Pass 1: capture cmd-variable assignments (cmd = ["ffmpeg", ...]) ββ
# Maps variable name -> (lineno, first-token string)
_cmd_vars: Dict[str, Tuple[int, str]] = {}
for node in ast.walk(tree):
if not isinstance(node, ast.Assign):
continue
val = node.value
if not (isinstance(val, ast.List) and val.elts):
continue
first_elt = val.elts[0]
first_str: Optional[str] = None
if isinstance(first_elt, ast.Constant) and isinstance(first_elt.value, str):
first_str = first_elt.value
elif isinstance(first_elt, ast.Attribute):
# sys.executable β keep as placeholder
first_str = "<python>"
if first_str is None:
continue
lower = first_str.lower().replace("\\\\", "/")
base = lower.split("/")[-1].split(".")[0]
if base in _EXEC_NAMES or lower == "<python>":
# collect all string parts for a readable label
parts = []
for el in val.elts[:8]:
if isinstance(el, ast.Constant) and isinstance(el.value, str):
parts.append(el.value)
elif isinstance(el, ast.Attribute) and el.attr == "executable":
parts.append("<python>")
else:
parts.append("...")
cmd_preview = " ".join(parts)[:120]
for tgt in node.targets:
if isinstance(tgt, ast.Name):
_cmd_vars[tgt.id] = (node.lineno, cmd_preview)
for node in ast.walk(tree):
lineno = getattr(node, "lineno", 0)
func_ctx = None # resolved lazily below
# ββ String literals βββββββββββββββββββββββββββββββββββββ
if isinstance(node, ast.Constant) and isinstance(node.value, str):
s = node.value.strip()
# File-path heuristic: contains a known extension
suffix = Path(s).suffix.lower()
for atype, exts in ASSET_EXTS.items():
if suffix in exts and len(s) > 3:
if func_ctx is None:
func_ctx = _current_func_at_line(info, lineno)
info.assets.append(AssetRef(s, atype, lineno, func_ctx))
break
# URL
if _URL_RE.match(s):
if func_ctx is None:
func_ctx = _current_func_at_line(info, lineno)
info.urls.append((lineno, s, func_ctx))
# ββ os.environ / os.getenv βββββββββββββββββββββββββββββββ
elif isinstance(node, ast.Call):
fname = get_call_name(node)
if fname in {"getenv"}:
if node.args and isinstance(node.args[0], ast.Constant):
if func_ctx is None:
func_ctx = _current_func_at_line(info, lineno)
info.env_vars.append((lineno, node.args[0].value, func_ctx))
# subprocess.run / call / Popen with a plain string command
if fname in {"run", "call", "Popen", "check_output", "check_call", "system"}:
if node.args:
first = node.args[0]
cmd_str = None
if isinstance(first, ast.Constant) and isinstance(first.value, str):
cmd_str = first.value[:120]
elif isinstance(first, ast.List) and first.elts:
parts = []
for el in first.elts[:6]:
if isinstance(el, ast.Constant) and isinstance(el.value, str):
parts.append(el.value)
elif isinstance(el, ast.Attribute) and el.attr == "executable":
parts.append("<python>")
else:
parts.append("...")
if parts:
cmd_str = " ".join(parts)[:120]
elif isinstance(first, ast.Name):
# variable β look up in our cmd-variable map
if first.id in _cmd_vars:
cmd_str = _cmd_vars[first.id][1]
if cmd_str:
if func_ctx is None:
func_ctx = _current_func_at_line(info, lineno)
info.subproc_cmds.append((lineno, cmd_str, func_ctx))
# ββ os.environ["VAR"] subscript ββββββββββββββββββββββββββ
elif isinstance(node, ast.Subscript):
if (isinstance(node.value, ast.Attribute)
and node.value.attr == "environ"
and isinstance(node.slice, ast.Constant)
and isinstance(node.slice.value, str)):
if func_ctx is None:
func_ctx = _current_func_at_line(info, lineno)
info.env_vars.append((lineno, node.slice.value, func_ctx))
# βββ Resolver βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
STDLIB_ROOTS = {
"os", "sys", "re", "json", "time", "subprocess", "pathlib", "shutil",
"tempfile", "typing", "collections", "functools", "itertools", "logging",
"argparse", "hashlib", "math", "random", "copy", "io", "abc", "enum",
"threading", "asyncio", "dataclasses", "datetime", "inspect", "gc",
"traceback", "warnings", "platform", "struct", "socket", "http",
"urllib", "uuid", "base64", "csv", "glob", "fnmatch",
}
THIRD_PARTY_ROOTS = {
"torch", "cv2", "numpy", "np", "PIL", "flask", "fastapi", "requests",
"scipy", "librosa", "soundfile", "sf", "tqdm", "yaml", "omegaconf",
"imageio", "skimage", "einops", "transformers", "diffusers", "gradio",
"pydantic", "uvicorn", "starlette", "aiofiles", "f5_tts", "cached_path",
"vocos", "safetensors",
}
def is_local(module: str) -> bool:
root = module.split(".")[0]
return root not in STDLIB_ROOTS and root not in THIRD_PARTY_ROOTS
def resolve_calls(all_files: Dict[str, FileInfo]) -> Dict[str, List[Tuple[str, str]]]:
"""
Returns call_graph[file_rel][func_name] = [(target_file, target_func), ...]
as a flat dict: key = "file::func", value = list of "file::func"
"""
# Build lookup: function_name -> [(file, FunctionInfo)]
name_index: Dict[str, List[Tuple[str, FunctionInfo]]] = defaultdict(list)
for frel, finfo in all_files.items():
for fn in finfo.functions:
name_index[fn.name].append((frel, fn))
call_graph: Dict[str, List[str]] = defaultdict(list)
for frel, finfo in all_files.items():
file_path = ROOT / frel.replace("/", os.sep)
for fn in finfo.functions:
key = f"{frel}::{fn.full_name()}"
for raw_call in fn.calls:
# Check from_imports first
if raw_call in finfo.from_imports:
mod, orig = finfo.from_imports[raw_call]
target_file = module_to_file(mod, file_path)
if target_file and target_file in all_files:
call_graph[key].append(f"{target_file}::{orig}")
continue
elif not is_local(mod):
call_graph[key].append(f"[{mod}]::{orig}")
continue
# Check regular imports (module.func pattern won't hit here, but alias might)
if raw_call in finfo.imports:
mod = finfo.imports[raw_call]
target_file = module_to_file(mod, file_path)
if target_file:
call_graph[key].append(f"{target_file}::<module>")
continue
# Global function name match across project files
if raw_call in name_index:
for tfile, tfn in name_index[raw_call]:
entry = f"{tfile}::{tfn.full_name()}"
if entry not in call_graph[key]:
call_graph[key].append(entry)
continue
# Unknown β could be builtin, stdlib, or third-party
root_mod = raw_call.split(".")[0]
if root_mod in THIRD_PARTY_ROOTS:
call_graph[key].append(f"[lib:{root_mod}]::{raw_call}")
return call_graph
# βββ README Generator βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def generate_readme(
all_files: Dict[str, FileInfo],
call_graph: Dict[str, List[str]],
entry_points: List[str],
) -> str:
lines = []
lines += [
"# Codebase Call Graph & Function Map",
"",
"Auto-generated by `analyze_codebase.py`.",
"",
"**Legend**",
"- `β` = calls",
"- `[lib:X]` = third-party library",
"- `[stdlib:X]` = Python standard library",
"- Line numbers link to source definitions",
"",
"---",
"",
]
# ββ Section 1: File summary ββββββββββββββββββββββββββββββββββ
lines += ["## 1. Files in Project", ""]
lines += ["| File | Classes | Functions | Imports |",
"|------|---------|-----------|---------|"]
for frel in sorted(all_files):
fi = all_files[frel]
classes = ", ".join(fi.classes) if fi.classes else "β"
func_count = len(fi.functions)
imp_count = len(fi.imports) + len(fi.from_imports)
lines.append(f"| `{frel}` | {classes} | {func_count} | {imp_count} |")
lines += ["", "---", ""]
# ββ Section 2: Entry point trace ββββββββββββββββββββββββββββ
lines += ["## 2. Entry Points", ""]
for ep in entry_points:
ep_norm = ep.replace("\\", "/")
if ep_norm in all_files:
lines.append(f"- **`{ep_norm}`** β")
else:
lines.append(f"- ~~`{ep_norm}`~~ *(not found)*")
lines += ["", "---", ""]
# ββ Section 3: Per-file function breakdown βββββββββββββββββββ
lines += ["## 3. Function Map (`filename β function β calls`)", ""]
for frel in sorted(all_files):
fi = all_files[frel]
if not fi.functions:
continue
lines += [f"### `{frel}`", ""]
# Imports summary for this file
if fi.from_imports or fi.imports:
lines.append("**Imports:**")
seen_mods: Set[str] = set()
for name, (mod, orig) in fi.from_imports.items():
if mod not in seen_mods:
seen_mods.add(mod)
resolved = module_to_file(mod, ROOT / frel.replace("/", os.sep))
tag = f"β `{resolved}`" if resolved else ("*(stdlib)*" if not is_local(mod) else "*(external)*")
lines.append(f"- `from {mod} import ...` {tag}")
for alias, mod in fi.imports.items():
if mod not in seen_mods:
seen_mods.add(mod)
resolved = module_to_file(mod, ROOT / frel.replace("/", os.sep))
tag = f"β `{resolved}`" if resolved else ("*(stdlib)*" if not is_local(mod) else "*(external)*")
lines.append(f"- `import {mod}` {tag}")
lines.append("")
# Functions
lines.append("**Functions:**")
lines.append("")
lines.append("| # | Function | Line | Calls |")
lines.append("|---|----------|------|-------|")
for i, fn in enumerate(fi.functions, 1):
key = f"{frel}::{fn.full_name()}"
raw_calls = fn.calls
resolved_calls = call_graph.get(key, [])
# Build call cell
if not raw_calls:
call_cell = "*(none)*"
else:
# Show resolved targets when available, fallback to raw name
resolved_map = {}
for rc in resolved_calls:
parts = rc.split("::")
func_part = parts[-1]
resolved_map[func_part] = rc
call_parts = []
for c in raw_calls:
if c in resolved_map:
target = resolved_map[c]
if target.startswith("["):
call_parts.append(f"`{target}`")
else:
tfile, tfunc = target.rsplit("::", 1)
call_parts.append(f"`{tfunc}` *({tfile})*")
else:
call_parts.append(f"`{c}`")
call_cell = ", ".join(call_parts[:8])
if len(call_parts) > 8:
call_cell += f" *+{len(call_parts)-8} more*"
prefix = f"{fn.class_name}." if fn.class_name else ""
lines.append(f"| {i} | `{prefix}{fn.name}` | L{fn.lineno} | {call_cell} |")
lines += ["", ""]
# ββ Section 4: Full call graph (deduplicated) ββββββββββββββββ
lines += ["---", "", "## 4. Full Call Graph (all edges)", ""]
lines += ["```"]
for key in sorted(call_graph):
frel, fname = key.split("::", 1)
short_f = frel.split("/")[-1]
targets = call_graph[key]
if targets:
for t in targets:
if "::" in t:
tfile, tfunc = t.rsplit("::", 1)
tshort = tfile.split("/")[-1] if not tfile.startswith("[") else tfile
lines.append(f"{short_f}::{fname} β {tshort}::{tfunc}")
lines += ["```", ""]
# ββ Section 5: Assets, URLs, Env vars, Subprocess ββββββββββ
lines += ["---", "", "## 5. Non-Python Assets Referenced", ""]
lines += ["> All string literals that look like file paths, grouped by type.", ""]
# Collect all assets across files
asset_rows: Dict[str, List[Tuple[str, int, str, bool]]] = defaultdict(list)
for frel, fi in all_files.items():
for a in fi.assets:
asset_rows[a.asset_type].append((frel, a.lineno, a.path_str, a.exists))
for atype in ["model", "audio", "video", "image", "config", "data"]:
rows = asset_rows.get(atype, [])
if not rows:
continue
lines.append(f"### {atype.capitalize()} Files")
lines.append("")
lines.append("| File | Line | Path | On Disk |")
lines.append("|------|------|------|---------|")
seen = set()
for frel, ln, path_str, exists in sorted(rows, key=lambda x: (x[0], x[1])):
key = (frel, path_str)
if key in seen:
continue
seen.add(key)
short_f = frel.split("/")[-1]
disk = "β" if exists else "β missing"
safe = path_str.replace("|", "|")[:80]
lines.append(f"| `{short_f}` | L{ln} | `{safe}` | {disk} |")
lines.append("")
# URLs
lines += ["### URLs Referenced", ""]
lines += ["| File | Line | URL | In Function |"]
lines += ["|------|------|-----|-------------|"]
url_seen = set()
for frel, fi in sorted(all_files.items()):
for ln, url, func in fi.urls:
key = (frel, url)
if key in url_seen:
continue
url_seen.add(key)
short_f = frel.split("/")[-1]
func_str = f"`{func}`" if func else "*(module level)*"
lines.append(f"| `{short_f}` | L{ln} | `{url[:80]}` | {func_str} |")
if not url_seen:
lines.append("| β | β | *(none found)* | β |")
lines.append("")
# Env vars
lines += ["### Environment Variables Read", ""]
lines += ["| File | Line | Variable | In Function |"]
lines += ["|------|------|----------|-------------|"]
env_seen = set()
for frel, fi in sorted(all_files.items()):
for ln, var, func in fi.env_vars:
key = (frel, var)
if key in env_seen:
continue
env_seen.add(key)
short_f = frel.split("/")[-1]
func_str = f"`{func}`" if func else "*(module level)*"
lines.append(f"| `{short_f}` | L{ln} | `{var}` | {func_str} |")
if not env_seen:
lines.append("| β | β | *(none found)* | β |")
lines.append("")
# Subprocess commands
lines += ["### Subprocess Commands Launched", ""]
lines += ["| File | Line | Command (truncated) | In Function |"]
lines += ["|------|------|---------------------|-------------|"]
cmd_seen = set()
for frel, fi in sorted(all_files.items()):
for ln, cmd, func in fi.subproc_cmds:
key = (frel, cmd[:60])
if key in cmd_seen:
continue
cmd_seen.add(key)
short_f = frel.split("/")[-1]
func_str = f"`{func}`" if func else "*(module level)*"
safe_cmd = cmd.replace("|", "|")[:80]
lines.append(f"| `{short_f}` | L{ln} | `{safe_cmd}` | {func_str} |")
if not cmd_seen:
lines.append("| β | β | *(none found)* | β |")
lines += ["", "---", ""]
# ββ Section 6: Third-party libraries used ββββββββββββββββββββ
lines += ["## 6. Third-Party & External Libraries Referenced", ""]
lib_usages: Dict[str, Set[str]] = defaultdict(set)
for key, targets in call_graph.items():
frel = key.split("::")[0]
for t in targets:
if t.startswith("[lib:"):
lib_name = t.split("[lib:")[1].split("]")[0]
lib_usages[lib_name].add(frel)
# Also pull from imports directly
for frel, fi in all_files.items():
for name, (mod, orig) in fi.from_imports.items():
root = mod.split(".")[0]
if root in THIRD_PARTY_ROOTS:
lib_usages[root].add(frel)
for alias, mod in fi.imports.items():
root = mod.split(".")[0]
if root in THIRD_PARTY_ROOTS:
lib_usages[root].add(frel)
lines.append("| Library | Used in |")
lines.append("|---------|---------|")
for lib in sorted(lib_usages):
files_str = ", ".join(f"`{f.split('/')[-1]}`" for f in sorted(lib_usages[lib]))
lines.append(f"| `{lib}` | {files_str} |")
lines += ["", "---", "", "*Generated by `analyze_codebase.py` β re-run any time to refresh.*", ""]
return "\n".join(lines)
# βββ Unused File Detection ββββββββββββββββββββββββββββββββββββββββββββββββββββ
# Dirs to skip when walking disk for non-Python assets
ASSET_SKIP_DIRS = {"venv", "__pycache__", ".git", "node_modules", "outputs", "temp",
"temp_enhanced_pipeline", "datasets-1", "gfpgan"}
# These Python file patterns are entry points by convention β never "unused"
ALWAYS_KEEP_PATTERNS = {
"analyze_codebase.py", # this script
"__init__.py",
"__main__.py",
"setup.py",
"conftest.py",
}
def build_import_graph(all_files: Dict[str, FileInfo]) -> Dict[str, Set[str]]:
"""
Returns imported_by[file] = set of files that import it.
Also returns the full set of reachable files when starting from entry points.
"""
# imported_by: file -> who imports it
imported_by: Dict[str, Set[str]] = defaultdict(set)
for frel, fi in all_files.items():
file_path = ROOT / frel.replace("/", os.sep)
for alias, mod in fi.imports.items():
target = module_to_file(mod, file_path)
if target and target in all_files:
imported_by[target].add(frel)
for name, (mod, orig) in fi.from_imports.items():
target = module_to_file(mod, file_path)
if target and target in all_files:
imported_by[target].add(frel)
return imported_by
def reachable_from_entries(
entry_points: List[str],
imported_by: Dict[str, Set[str]],
all_files: Dict[str, FileInfo],
) -> Set[str]:
"""
BFS from entry points following imports to find all reachable files.
We need forward edges (what does a file import), so invert imported_by.
"""
# Build forward: importer -> set of files it imports
imports_map: Dict[str, Set[str]] = defaultdict(set)
for target, importers in imported_by.items():
for importer in importers:
imports_map[importer].add(target)
visited: Set[str] = set()
queue: List[str] = []
for ep in entry_points:
ep_norm = ep.replace("\\", "/")
if ep_norm in all_files:
queue.append(ep_norm)
while queue:
current = queue.pop()
if current in visited:
continue
visited.add(current)
for dep in imports_map.get(current, set()):
if dep not in visited:
queue.append(dep)
return visited
def categorise_python_file(frel: str, fi: FileInfo) -> str:
"""Return a human label for why a Python file exists."""
name = frel.split("/")[-1]
if name in ALWAYS_KEEP_PATTERNS:
return "framework/convention"
if name.startswith("test_"):
return "test file"
# Has a __main__ guard
src_path = ROOT / frel.replace("/", os.sep)
try:
src = src_path.read_text(encoding="utf-8", errors="ignore")
if '__name__ == "__main__"' in src or "__name__ == '__main__'" in src:
return "standalone script (has __main__)"
except Exception:
pass
if not fi.functions and not fi.classes:
return "config/constants only"
return "unreachable module"
def collect_disk_assets(root: Path) -> Dict[str, Path]:
"""
Walk disk and return all non-Python files with known asset extensions.
Key = relative path string (forward slashes), Value = absolute Path.
"""
all_exts: Set[str] = set()
for exts in ASSET_EXTS.values():
all_exts.update(exts)
found: Dict[str, Path] = {}
for p in root.rglob("*"):
if not p.is_file():
continue
if any(skip in p.parts for skip in ASSET_SKIP_DIRS):
continue
if p.suffix.lower() in all_exts:
found[rel(p)] = p
return found
def normalise_ref(raw: str) -> str:
"""Strip drive letters, normalise slashes, lowercase for fuzzy matching."""
# e.g. C:\\Users\\...\\foo.wav -> foo.wav (just the basename for fuzzy match)
p = Path(raw.strip())
return str(p).replace("\\", "/").lower()
def find_unused(
all_files: Dict[str, FileInfo],
entry_points: List[str],
) -> str:
"""Generate the UNUSED_FILES.md content."""
lines = [
"# Unused & Unreferenced Files",
"",
"Auto-generated by `analyze_codebase.py`.",
"",
"> **Unused Python** = never imported by any other file in the project and not a declared entry point. ",
"> **Unreferenced Asset** = file exists on disk but no string literal in any `.py` file points to it. ",
"> Items marked β οΈ *might still be used* at runtime via dynamic paths β verify before deleting.",
"",
"---",
"",
]
# ββ 1. Python files ββββββββββββββββββββββββββββββββββββββββββββββββββββββ
imported_by = build_import_graph(all_files)
reachable = reachable_from_entries(entry_points, imported_by, all_files)
# Normalise entry point list for quick lookup
ep_set = {ep.replace("\\", "/") for ep in entry_points}
unused_py: List[Tuple[str, str, Set[str]]] = [] # (frel, reason, imported_by_set)
for frel, fi in sorted(all_files.items()):
name = frel.split("/")[-1]
if frel in ep_set:
continue
if name in ALWAYS_KEEP_PATTERNS:
continue
if frel in reachable:
continue
# Not reachable from any entry point
reason = categorise_python_file(frel, fi)
imported_by_set = imported_by.get(frel, set())
unused_py.append((frel, reason, imported_by_set))
lines += [
f"## 1. Python Files Never Imported ({len(unused_py)} files)",
"",
"These files are not reachable from any entry point via import chains.",
"",
"| File | Reason | Imported by |",
"|------|--------|-------------|",
]
for frel, reason, iby in unused_py:
iby_str = ", ".join(f"`{f.split('/')[-1]}`" for f in sorted(iby)) if iby else "*(nothing)*"
lines.append(f"| `{frel}` | {reason} | {iby_str} |")
lines += ["", "---", ""]
# ββ 2. Non-Python assets on disk vs referenced ββββββββββββββββββββββββββ
disk_assets = collect_disk_assets(ROOT)
# Build a set of all referenced path strings (raw + basename variants)
ref_strings: Set[str] = set()
for fi in all_files.values():
for a in fi.assets:
s = a.path_str.replace("\\", "/").lower()
ref_strings.add(s)
# Also add just the basename so partial paths match
ref_strings.add(Path(s).name)
unreferenced: Dict[str, List[Tuple[str, str]]] = defaultdict(list) # type -> [(frel, disk_path)]
for disk_rel, disk_abs in sorted(disk_assets.items()):
# Try full relative path match first
norm_rel = disk_rel.lower()
basename = Path(disk_rel).name.lower()
if norm_rel in ref_strings or basename in ref_strings:
continue
# Try matching any suffix of the disk path against references
parts = disk_rel.replace("\\", "/").lower().split("/")
matched = any(
"/".join(parts[i:]) in ref_strings
for i in range(len(parts))
)
if matched:
continue
suffix = disk_abs.suffix.lower()
atype = "other"
for t, exts in ASSET_EXTS.items():
if suffix in exts:
atype = t
break
unreferenced[atype].append((disk_rel, str(disk_abs)))
total_unref = sum(len(v) for v in unreferenced.values())
lines += [
f"## 2. Non-Python Assets on Disk But Never Referenced ({total_unref} files)",
"",
"These files exist in the project folder but no Python source file contains a string that matches their path.",
"",
]
for atype in ["model", "audio", "video", "image", "config", "data", "other"]:
items = unreferenced.get(atype, [])
if not items:
continue
lines += [
f"### {atype.capitalize()} Files ({len(items)})",
"",
"| Path | Size |",
"|------|------|",
]
for disk_rel, disk_abs in items:
try:
size = Path(disk_abs).stat().st_size
size_str = f"{size:,} B" if size < 1024 else (
f"{size//1024:,} KB" if size < 1_048_576 else f"{size//1_048_576:,} MB"
)
except Exception:
size_str = "?"
lines.append(f"| `{disk_rel}` | {size_str} |")
lines.append("")
lines += ["---", ""]
# ββ 3. Referenced assets that are MISSING from disk βββββββββββββββββββββ
missing_assets: List[Tuple[str, str, int, str]] = [] # (frel, path_str, line, atype)
for frel, fi in sorted(all_files.items()):
for a in fi.assets:
if not a.exists:
# Skip obvious format strings and very short tokens
if "%" in a.path_str or "{" in a.path_str or len(a.path_str) < 5:
continue
# Skip strings that are clearly descriptions, not paths
if " " in a.path_str and not any(c in a.path_str for c in "\\/"):
continue
missing_assets.append((frel, a.path_str, a.lineno, a.asset_type))
lines += [
f"## 3. Assets Referenced in Code But Missing on Disk ({len(missing_assets)} refs)",
"",
"These are paths the code expects to exist but were not found. May indicate missing model downloads.",
"",
"| Source File | Line | Expected Path | Type |",
"|-------------|------|---------------|------|",
]
seen_missing: Set[Tuple[str, str]] = set()
for frel, path_str, lineno, atype in missing_assets:
key = (frel, path_str)
if key in seen_missing:
continue
seen_missing.add(key)
short_f = frel.split("/")[-1]
safe = path_str.replace("|", "|")[:80]
lines.append(f"| `{short_f}` | L{lineno} | `{safe}` | {atype} |")
lines += [
"",
"---",
"",
"*Generated by `analyze_codebase.py` β re-run any time to refresh.*",
"",
]
return "\n".join(lines)
# βββ Main βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def main():
print(f"Scanning: {ROOT}")
py_files = collect_py_files(ROOT)
print(f"Found {len(py_files)} Python files\n")
all_files: Dict[str, FileInfo] = {}
for p in py_files:
print(f" Parsing {rel(p)}")
fi = parse_file(p)
if fi:
all_files[fi.path] = fi
print(f"\nBuilding call graph...")
call_graph = resolve_calls(all_files)
total_edges = sum(len(v) for v in call_graph.values())
print(f" {len(call_graph)} functions with outgoing calls, {total_edges} total edges")
print(f"\nGenerating CODEBASE_MAP.md...")
readme = generate_readme(all_files, call_graph, ENTRY_POINTS)
out_path = ROOT / "CODEBASE_MAP.md"
out_path.write_text(readme, encoding="utf-8")
total_assets = sum(len(fi.assets) for fi in all_files.values())
total_urls = sum(len(fi.urls) for fi in all_files.values())
total_envs = sum(len(fi.env_vars) for fi in all_files.values())
total_cmds = sum(len(fi.subproc_cmds) for fi in all_files.values())
print(f" Done -> {out_path}")
print(f" Files analyzed : {len(all_files)}")
print(f" Total functions : {sum(len(fi.functions) for fi in all_files.values())}")
print(f" Call graph edges: {total_edges}")
print(f" Asset refs : {total_assets}")
print(f" URLs : {total_urls} | Env vars: {total_envs} | Subprocess: {total_cmds}")
print(f"\nGenerating UNUSED_FILES.md...")
unused_report = find_unused(all_files, ENTRY_POINTS)
unused_path = ROOT / "UNUSED_FILES.md"
unused_path.write_text(unused_report, encoding="utf-8")
print(f" Done -> {unused_path}")
# Quick summary stats for unused report
imported_by = build_import_graph(all_files)
reachable = reachable_from_entries(ENTRY_POINTS, imported_by, all_files)
ep_set = {ep.replace("\\", "/") for ep in ENTRY_POINTS}
unused_count = sum(
1 for frel, fi in all_files.items()
if frel not in ep_set
and frel.split("/")[-1] not in ALWAYS_KEEP_PATTERNS
and frel not in reachable
)
disk_asset_count = len(collect_disk_assets(ROOT))
print(f" Unused Python files : {unused_count}")
print(f" Disk assets scanned : {disk_asset_count}")
if __name__ == "__main__":
main()
|