135 lines
4.1 KiB
Python
135 lines
4.1 KiB
Python
"""Shared post-build processing pipeline.
|
|
|
|
After the core Tree-sitter parse (full_build or incremental_update), four
|
|
post-processing steps must run to populate derived tables:
|
|
|
|
1. Compute node signatures
|
|
2. Rebuild FTS5 search index
|
|
3. Trace execution flows
|
|
4. Detect code communities
|
|
|
|
This module extracts that pipeline so every entry point — MCP tool, CLI
|
|
commands, and watch mode — produces identical results.
|
|
"""
|
|
|
|
from __future__ import annotations
|
|
|
|
import logging
|
|
import sqlite3
|
|
from typing import Any
|
|
|
|
from .graph import GraphStore
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
def run_post_processing(store: GraphStore) -> dict[str, Any]:
|
|
"""Run all post-build steps on a populated graph.
|
|
|
|
Each step is non-fatal: failures are logged and collected as warnings
|
|
so the primary build result is never lost.
|
|
|
|
Args:
|
|
store: An open GraphStore with nodes and edges already populated.
|
|
|
|
Returns:
|
|
Dict with keys for each step's result count and a ``warnings``
|
|
list (only present when at least one step failed).
|
|
"""
|
|
result: dict[str, Any] = {}
|
|
warnings: list[str] = []
|
|
|
|
_compute_signatures(store, result, warnings)
|
|
_rebuild_fts_index(store, result, warnings)
|
|
_trace_flows(store, result, warnings)
|
|
_detect_communities(store, result, warnings)
|
|
|
|
if warnings:
|
|
result["warnings"] = warnings
|
|
return result
|
|
|
|
|
|
# -- Individual steps (private) ------------------------------------------
|
|
|
|
|
|
def _compute_signatures(
|
|
store: GraphStore,
|
|
result: dict[str, Any],
|
|
warnings: list[str],
|
|
) -> None:
|
|
"""Compute human-readable signatures for nodes that lack one."""
|
|
try:
|
|
rows = store.get_nodes_without_signature()
|
|
for row in rows:
|
|
node_id, name, kind, params, ret = (
|
|
row[0],
|
|
row[1],
|
|
row[2],
|
|
row[3],
|
|
row[4],
|
|
)
|
|
if kind in ("Function", "Test"):
|
|
sig = f"def {name}({params or ''})"
|
|
if ret:
|
|
sig += f" -> {ret}"
|
|
elif kind == "Class":
|
|
sig = f"class {name}"
|
|
else:
|
|
sig = name
|
|
store.update_node_signature(node_id, sig[:512])
|
|
store.commit()
|
|
result["signatures_computed"] = len(rows)
|
|
except (sqlite3.OperationalError, TypeError, KeyError) as e:
|
|
logger.warning("Signature computation failed: %s", e)
|
|
warnings.append(f"Signature computation failed: {type(e).__name__}: {e}")
|
|
|
|
|
|
def _rebuild_fts_index(
|
|
store: GraphStore,
|
|
result: dict[str, Any],
|
|
warnings: list[str],
|
|
) -> None:
|
|
"""Rebuild the FTS5 full-text search index."""
|
|
try:
|
|
from .search import rebuild_fts_index
|
|
|
|
fts_count = rebuild_fts_index(store)
|
|
result["fts_indexed"] = fts_count
|
|
except (sqlite3.OperationalError, ImportError) as e:
|
|
logger.warning("FTS index rebuild failed: %s", e)
|
|
warnings.append(f"FTS index rebuild failed: {type(e).__name__}: {e}")
|
|
|
|
|
|
def _trace_flows(
|
|
store: GraphStore,
|
|
result: dict[str, Any],
|
|
warnings: list[str],
|
|
) -> None:
|
|
"""Trace execution flows from entry points."""
|
|
try:
|
|
from .flows import store_flows, trace_flows
|
|
|
|
flows = trace_flows(store)
|
|
count = store_flows(store, flows)
|
|
result["flows_detected"] = count
|
|
except (sqlite3.OperationalError, ImportError) as e:
|
|
logger.warning("Flow detection failed: %s", e)
|
|
warnings.append(f"Flow detection failed: {type(e).__name__}: {e}")
|
|
|
|
|
|
def _detect_communities(
|
|
store: GraphStore,
|
|
result: dict[str, Any],
|
|
warnings: list[str],
|
|
) -> None:
|
|
"""Detect code communities via Leiden algorithm or file grouping."""
|
|
try:
|
|
from .communities import detect_communities, store_communities
|
|
|
|
comms = detect_communities(store)
|
|
count = store_communities(store, comms)
|
|
result["communities_detected"] = count
|
|
except (sqlite3.OperationalError, ImportError) as e:
|
|
logger.warning("Community detection failed: %s", e)
|
|
warnings.append(f"Community detection failed: {type(e).__name__}: {e}")
|