173 lines
6.7 KiB
Python
173 lines
6.7 KiB
Python
# aggregate.py
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"""
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Note(Gemini):
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This module orchestrates the construction of the final Markdown context string.
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Instead of sending every file to the AI raw (which blows up tokens), this uses a pipeline:
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1. Resolve paths (handles globs and absolute paths).
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2. Build file items (raw content).
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3. If 'summary_only' is true (which is the default behavior now), it pipes the files through
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summarize.py to generate a compacted view.
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This is essential for keeping prompt tokens low while giving the AI enough structural info
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to use the MCP tools to fetch only what it needs.
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"""
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import tomllib
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import re
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import glob
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from pathlib import Path, PureWindowsPath
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import summarize
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def find_next_increment(output_dir: Path, namespace: str) -> int:
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pattern = re.compile(rf"^{re.escape(namespace)}_(\d+)\.md$")
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max_num = 0
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for f in output_dir.iterdir():
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if f.is_file():
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match = pattern.match(f.name)
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if match:
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max_num = max(max_num, int(match.group(1)))
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return max_num + 1
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def is_absolute_with_drive(entry: str) -> bool:
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try:
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p = PureWindowsPath(entry)
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return p.drive != ""
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except Exception:
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return False
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def resolve_paths(base_dir: Path, entry: str) -> list[Path]:
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has_drive = is_absolute_with_drive(entry)
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is_wildcard = "*" in entry
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if is_wildcard:
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root = Path(entry) if has_drive else base_dir / entry
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matches = [Path(p) for p in glob.glob(str(root), recursive=True) if Path(p).is_file()]
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return sorted(matches)
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else:
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if has_drive:
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return [Path(entry)]
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return [(base_dir / entry).resolve()]
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def build_discussion_section(history: list[str]) -> str:
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sections = []
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for i, paste in enumerate(history, start=1):
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sections.append(f"### Discussion Excerpt {i}\n\n{paste.strip()}")
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return "\n\n---\n\n".join(sections)
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def build_files_section(base_dir: Path, files: list[str]) -> str:
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sections = []
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for entry in files:
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paths = resolve_paths(base_dir, entry)
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if not paths:
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sections.append(f"### `{entry}`\n\n```text\nERROR: no files matched: {entry}\n```")
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continue
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for path in paths:
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suffix = path.suffix.lstrip(".")
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lang = suffix if suffix else "text"
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try:
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content = path.read_text(encoding="utf-8")
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except FileNotFoundError:
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content = f"ERROR: file not found: {path}"
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except Exception as e:
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content = f"ERROR: {e}"
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original = entry if "*" not in entry else str(path)
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sections.append(f"### `{original}`\n\n```{lang}\n{content}\n```")
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return "\n\n---\n\n".join(sections)
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def build_screenshots_section(base_dir: Path, screenshots: list[str]) -> str:
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sections = []
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for entry in screenshots:
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paths = resolve_paths(base_dir, entry)
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if not paths:
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sections.append(f"### `{entry}`\n\n_ERROR: no files matched: {entry}_")
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continue
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for path in paths:
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original = entry if "*" not in entry else str(path)
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if not path.exists():
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sections.append(f"### `{original}`\n\n_ERROR: file not found: {path}_")
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continue
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sections.append(f"### `{original}`\n\n})")
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return "\n\n---\n\n".join(sections)
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def build_file_items(base_dir: Path, files: list[str]) -> list[dict]:
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"""
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Return a list of dicts describing each file, for use by ai_client when it
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wants to upload individual files rather than inline everything as markdown.
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Each dict has:
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path : Path (resolved absolute path)
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entry : str (original config entry string)
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content : str (file text, or error string)
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error : bool
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"""
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items = []
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for entry in files:
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paths = resolve_paths(base_dir, entry)
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if not paths:
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items.append({"path": None, "entry": entry, "content": f"ERROR: no files matched: {entry}", "error": True})
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continue
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for path in paths:
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try:
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content = path.read_text(encoding="utf-8")
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error = False
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except FileNotFoundError:
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content = f"ERROR: file not found: {path}"
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error = True
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except Exception as e:
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content = f"ERROR: {e}"
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error = True
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items.append({"path": path, "entry": entry, "content": content, "error": error})
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return items
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def build_summary_section(base_dir: Path, files: list[str]) -> str:
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"""
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Build a compact summary section using summarize.py — one short block per file.
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Used as the initial <context> block instead of full file contents.
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"""
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items = build_file_items(base_dir, files)
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return summarize.build_summary_markdown(items)
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def build_markdown(base_dir: Path, files: list[str], screenshot_base_dir: Path, screenshots: list[str], history: list[str], summary_only: bool = False) -> str:
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parts = []
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if history:
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parts.append("## Discussion History\n\n" + build_discussion_section(history))
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if files:
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if summary_only:
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parts.append("## Files (Summary)\n\n" + build_summary_section(base_dir, files))
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else:
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parts.append("## Files\n\n" + build_files_section(base_dir, files))
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if screenshots:
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parts.append("## Screenshots\n\n" + build_screenshots_section(screenshot_base_dir, screenshots))
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return "\n\n---\n\n".join(parts)
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def run(config: dict) -> tuple[str, Path]:
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namespace = config.get("project", {}).get("name")
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if not namespace:
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namespace = config.get("output", {}).get("namespace", "project")
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output_dir = Path(config["output"]["output_dir"])
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base_dir = Path(config["files"]["base_dir"])
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files = config["files"].get("paths", [])
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screenshot_base_dir = Path(config.get("screenshots", {}).get("base_dir", "."))
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screenshots = config.get("screenshots", {}).get("paths", [])
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history = config.get("discussion", {}).get("history", [])
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output_dir.mkdir(parents=True, exist_ok=True)
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increment = find_next_increment(output_dir, namespace)
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output_file = output_dir / f"{namespace}_{increment:03d}.md"
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markdown = build_markdown(base_dir, files, screenshot_base_dir, screenshots, history,
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summary_only=True)
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output_file.write_text(markdown, encoding="utf-8")
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file_items = build_file_items(base_dir, files)
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return markdown, output_file, file_items
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def main():
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with open("config.toml", "rb") as f:
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import tomllib
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config = tomllib.load(f)
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markdown, output_file, _ = run(config)
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print(f"Written: {output_file}")
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if __name__ == "__main__":
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main()
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