feat(sync): add one-shot full sync (TRUNCATE + bulk INSERT)
- New `sync.fullsync` CLI: `python -m sync.fullsync config.yaml [--db F] [--table T] [--clear-change-log]` - AccessReader: list_user_tables / read_all_rows / read_all_log_ids - SqlWriter: table_exists / truncate_target (TRUNCATE w/ DELETE fallback) / bulk_insert (SET IDENTITY_INSERT + chunked fast_executemany) - Reuses FileMapping exclude/include rules (exclude beats include, same as capture) - Preserves Access IDs via IDENTITY_INSERT; target schemas have no FKs so TRUNCATE is safe - TableChangeLog NOT cleared by default (opt-in --clear-change-log) - tests/test_fullsync.py covers resolve_tables exclude/include precedence
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@@ -118,6 +118,43 @@ class AccessReader:
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raise
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return total
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def list_user_tables(self) -> list[str]:
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"""Return user table names in this Access DB.
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Excludes system tables (``MSys*``) and temporary ``~*`` tables. The
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change-log table ``TableChangeLog`` is NOT auto-excluded here — callers
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apply their own ``FileMapping.exclude_tables`` / ``include_tables`` rules
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on top of this list (see ``sync.fullsync.resolve_tables``).
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"""
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cur = self._connect().cursor()
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names = []
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for r in cur.tables(tableType="TABLE"):
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n = r.table_name
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if n.startswith("MSys") or n.startswith("~"):
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continue
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names.append(n)
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return names
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def read_all_rows(self, table: str):
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"""Return ``(columns, rows)`` for every row in ``table``.
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``columns`` is the ordered list of column names; ``rows`` is a list of
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tuples of **raw** pyodbc cell values (native Python types preserved) so
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the downstream bulk insert keeps correct SQL Server types. An empty
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table yields ``([...], [])`` with the real column list.
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"""
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cur = self._connect().cursor()
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cur.execute(f'SELECT * FROM "{table}"')
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cols = [c[0] for c in cur.description]
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rows = [tuple(row) for row in cur.fetchall()]
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return cols, rows
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def read_all_log_ids(self) -> list[int]:
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"""Return every ``ID`` from this file's ``TableChangeLog``, ascending."""
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cur = self._connect().cursor()
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cur.execute("SELECT ID FROM TableChangeLog ORDER BY ID")
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return [r[0] for r in cur.fetchall()]
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def close(self):
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if self._conn:
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self._conn.close()
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159
src/sync/fullsync.py
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159
src/sync/fullsync.py
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@@ -0,0 +1,159 @@
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"""One-shot full sync: TRUNCATE each target table, then bulk-insert every row
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from the corresponding Access table.
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This is a manual, out-of-band operation — ``python -m sync.fullsync
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config.yaml [--db FILE] [--table NAME] [--clear-change-log]``. It deliberately
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bypasses the incremental ``SyncQueue`` pipeline and writes straight to the SQL
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Server mirror tables. Use it to (re)seed a schema from scratch or to repair
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drift between Access and SQL Server.
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Contract with the target tables (same as ``usp_SyncApply``): they already
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exist and mirror the Access schema column-for-column, with ``ID`` as an
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IDENTITY primary key. Because ``ID`` is an identity, ``SET IDENTITY_INSERT`` is
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enabled during insert so the original Access primary keys survive — that is
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what keeps the incremental sync's RecordID matching correct afterwards.
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"""
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from __future__ import annotations
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import argparse
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import logging
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from .config import load_config, FileMapping, SyncConfig
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from .access_reader import AccessReader
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from .sql_writer import SqlWriter
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from .logging_setup import setup_logging
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log = logging.getLogger("sync.fullsync")
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def resolve_tables(reader: AccessReader, fm: FileMapping) -> list[str]:
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"""Tables to fully sync for one file, after exclude/include rules.
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Mirrors the precedence used by ``capture.capture_file``: a table in
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``exclude_tables`` is dropped even if it also appears in ``include_tables``.
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System tables (``MSys*`` / ``~*``) are already filtered by
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``AccessReader.list_user_tables``.
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"""
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exclude = set(fm.exclude_tables or [])
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include = set(fm.include_tables) if fm.include_tables else None
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out = []
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for t in reader.list_user_tables():
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if t in exclude:
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continue
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if include is not None and t not in include:
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continue
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out.append(t)
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return out
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def full_sync_file(fm: FileMapping, reader: AccessReader, writer: SqlWriter) -> dict:
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"""Full-sync every eligible table in one Access file. Returns a summary."""
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summary = {"file": fm.file, "tables": 0, "rows": 0, "skipped": []}
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for access_table in resolve_tables(reader, fm):
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target = fm.target_table(access_table)
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if not writer.table_exists(fm.schema, target):
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log.warning(
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"skip %s -> %s.%s (target table missing)",
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access_table, fm.schema, target,
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)
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summary["skipped"].append(access_table)
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continue
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try:
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cols, rows = reader.read_all_rows(access_table)
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writer.truncate_target(fm.schema, target)
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n = writer.bulk_insert(fm.schema, target, cols, rows)
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summary["tables"] += 1
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summary["rows"] += n
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log.info(
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"full-synced %s -> %s.%s : %d rows",
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access_table, fm.schema, target, n,
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)
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except Exception:
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log.exception(
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"full sync failed for %s -> %s.%s",
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access_table, fm.schema, target,
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)
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summary["skipped"].append(access_table)
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return summary
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def full_sync(
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cfg: SyncConfig,
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db_filter: str | None = None,
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table_filter: str | None = None,
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clear_change_log: bool = False,
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) -> list[dict]:
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"""Run a full sync across all (optionally filtered) files.
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``db_filter`` limits to a single Access file (matched on ``FileMapping.file``).
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``table_filter`` restricts every considered file to that one table by
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overriding ``include_tables``. ``clear_change_log`` additionally empties the
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``TableChangeLog`` on each synced file after loading (use with care — it
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mutates the Access side so the incremental service won't replay old deltas).
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"""
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files = cfg.files
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if db_filter:
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files = [f for f in files if f.file == db_filter]
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if not files:
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log.warning("no file matches --db %r", db_filter)
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return []
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if table_filter:
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files = [f.model_copy(update={"include_tables": [table_filter]}) for f in files]
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writer = SqlWriter(cfg.sql_server.conn_str, cfg.sql_server.sync_queue_table)
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summaries = []
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try:
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for fm in files:
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reader = AccessReader(fm.source_path(cfg), cfg.access.driver)
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try:
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summary = full_sync_file(fm, reader, writer)
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summaries.append(summary)
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if clear_change_log:
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try:
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ids = reader.read_all_log_ids()
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deleted = reader.delete_log_ids(
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ids, 500, 3
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) if ids else 0
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log.info("cleared %d TableChangeLog rows from %s", deleted, fm.file)
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except Exception:
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log.exception("clear-change-log failed for %s", fm.file)
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finally:
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reader.close()
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finally:
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writer.close()
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return summaries
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def main():
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"""CLI entry point: ``python -m sync.fullsync config.yaml [options]``."""
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ap = argparse.ArgumentParser(
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description="One-shot full sync: Access -> SQL Server (TRUNCATE + bulk INSERT)."
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)
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ap.add_argument("config", nargs="?", default="config.yaml",
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help="path to config.yaml (default: config.yaml)")
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ap.add_argument("--db", help="limit to one Access file (by FileMapping.file)")
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ap.add_argument("--table", help="limit to one table (applies to all matched files)")
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ap.add_argument("--clear-change-log", action="store_true",
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help="after loading, clear TableChangeLog on the synced files")
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args = ap.parse_args()
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cfg = load_config(args.config)
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setup_logging(cfg.logging)
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summaries = full_sync(
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cfg,
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db_filter=args.db,
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table_filter=args.table,
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clear_change_log=args.clear_change_log,
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)
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total_tables = sum(s["tables"] for s in summaries)
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total_rows = sum(s["rows"] for s in summaries)
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log.info("FULL SYNC COMPLETE: %d tables, %d rows", total_tables, total_rows)
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for s in summaries:
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if s["skipped"]:
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log.warning(" %s: skipped %s", s["file"], s["skipped"])
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if __name__ == "__main__":
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main()
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@@ -132,6 +132,93 @@ class SqlWriter:
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)
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return cur.rowcount
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def table_exists(self, schema: str, table: str) -> bool:
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"""True if ``[schema].[table]`` exists in the target database."""
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cur = self._conn.cursor()
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cur.execute(
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"SELECT 1 FROM sys.tables t JOIN sys.schemas s "
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"ON s.schema_id = t.schema_id "
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"WHERE s.name = ? AND t.name = ?",
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schema, table,
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)
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return cur.fetchone() is not None
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def _has_identity(self, schema: str, table: str) -> bool:
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"""True if ``[schema].[table]`` has an IDENTITY column (the ``ID`` PK)."""
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cur = self._conn.cursor()
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cur.execute(
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"SELECT 1 FROM sys.tables t JOIN sys.schemas s "
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"ON s.schema_id = t.schema_id JOIN sys.columns c "
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"ON c.object_id = t.object_id "
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"WHERE s.name = ? AND t.name = ? AND c.is_identity = 1",
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schema, table,
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)
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return cur.fetchone() is not None
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def truncate_target(self, schema: str, table: str) -> None:
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"""Empty ``[schema].[table]`` prior to a full reload.
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Prefers ``TRUNCATE TABLE`` (fast, minimal logging). This project's
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target schemas have no foreign keys, so TRUNCATE always succeeds; the
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``DELETE FROM`` fallback only matters if a future FK is added or the
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table sits under snapshot isolation.
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"""
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full = f"[{schema}].[{table}]"
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cur = self._conn.cursor()
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try:
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cur.execute(f"TRUNCATE TABLE {full}")
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except pyodbc.Error:
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cur.execute(f"DELETE FROM {full}")
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def bulk_insert(
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self, schema: str, table: str, columns: list[str], rows: list[tuple]
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) -> int:
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"""Insert every ``row`` into ``[schema].[table]``.
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``columns`` and the tuples in ``rows`` must be positionally aligned.
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When the target has an IDENTITY column (the ``ID`` PK in every target
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here), ``SET IDENTITY_INSERT`` is enabled so the original Access primary
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keys are preserved — required for the incremental sync's RecordID
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matching to keep working afterwards.
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Rows are inserted in 1000-row chunks. ``fast_executemany`` is tried
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first for speed; if a row's types can't be inferred (e.g. a leading
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NULL), it transparently retries the chunk without it. Returns the total
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number of rows inserted.
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"""
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if not columns or not rows:
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return 0
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full = f"[{schema}].[{table}]"
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col_list = ", ".join(f"[{c}]" for c in columns)
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placeholders = ", ".join("?" for _ in columns)
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has_identity = self._has_identity(schema, table)
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cur = self._conn.cursor()
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if has_identity:
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cur.execute(f"SET IDENTITY_INSERT {full} ON")
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try:
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inserted = 0
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fast = True
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for i in range(0, len(rows), 1000):
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chunk = rows[i:i + 1000]
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for attempt in range(2):
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try:
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cur.fast_executemany = fast
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cur.executemany(
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f"INSERT INTO {full} ({col_list}) VALUES ({placeholders})",
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chunk,
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)
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break
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except pyodbc.Error:
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if attempt == 0 and fast:
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fast = False # retry this chunk without fast_executemany
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continue
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raise
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inserted += len(chunk)
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return inserted
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finally:
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if has_identity:
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cur.execute(f"SET IDENTITY_INSERT {full} OFF")
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def close(self) -> None:
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"""Close the underlying pyodbc connection."""
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self._conn.close()
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56
tests/test_fullsync.py
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56
tests/test_fullsync.py
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@@ -0,0 +1,56 @@
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"""Unit tests for the full-sync table-resolution rules.
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``resolve_tables`` is pure (no DB) once given a reader stub, so it is safe to
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exercise without Access/SQL connections. Run on a host with the project venv
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(e.g. 114), where ``pyodbc`` imports cleanly:
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.venv\\Scripts\\python.exe -m pytest tests\\test_fullsync.py -q
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"""
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from sync.config import FileMapping
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from sync.fullsync import resolve_tables
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class FakeReader:
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"""Mirrors AccessReader.list_user_tables: system tables are already
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filtered here, so resolve_tables only needs to apply the exclude/include
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rules from the FileMapping."""
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def __init__(self, tables):
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self._tables = [
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t for t in tables
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if not (t.startswith("MSys") or t.startswith("~"))
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]
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def list_user_tables(self):
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return list(self._tables)
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def make_fm(**kw):
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base = dict(file="x.accdb", root="2026", schema="s", year_suffix="")
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base.update(kw)
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return FileMapping(**base)
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def test_excludes_system_and_config_tables():
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fm = make_fm(exclude_tables=["TableChangeLog", "Foo"])
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r = FakeReader(["T1", "TableChangeLog", "MSysSysObjects", "~tmp", "Foo", "Bar"])
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assert resolve_tables(r, fm) == ["T1", "Bar"]
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def test_include_tables_restricts_scope():
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fm = make_fm(include_tables=["T1", "T2"])
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r = FakeReader(["T1", "T2", "T3", "TableChangeLog"])
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assert resolve_tables(r, fm) == ["T1", "T2"]
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def test_exclude_beats_include():
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# Precedence matches capture.capture_file: exclude wins over include.
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fm = make_fm(include_tables=["T1"], exclude_tables=["T1"])
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r = FakeReader(["T1", "T2"])
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assert resolve_tables(r, fm) == []
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def test_empty_when_all_excluded():
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fm = make_fm(exclude_tables=["T1", "T2"])
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r = FakeReader(["T1", "T2"])
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assert resolve_tables(r, fm) == []
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