python(feat): Test results logging now happens in a subprocess while …

python/lib/sift_client/_internal/low_level_wrappers/_test_results_log.py

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+"""Internal log-format primitives for test-result simulation logs.
+
+Two files per run:
+
+* **Log file** (e.g. ``foo.jsonl``) - append-only record of each logged API call,
+  one line per call. Written by :func:`log_request_to_file` in the test process
+  and read by :func:`iter_log_data_lines` / the replay subprocess. Has no header:
+  every line is a data line.
+* **Tracking sidecar** (``foo.jsonl.tracking``) - small JSON file holding the
+  incremental replay cursor (``lastUploadedLine``) and the simulated-to-real ID
+  map. Written only by the replay subprocess via :meth:`LogTracking.save` using
+  a temp-file + ``os.replace`` so a crash can't leave a half-written sidecar.
+  Read once at replay start via :meth:`LogTracking.load`. Never touched by the
+  test process.
+
+# Concurrency
+
+With tracking moved out of the main log, the log file becomes strictly
+append-only and has exactly one in-place mutator (the writer) and one scanner
+(the replay subprocess). POSIX guarantees that an ``O_APPEND`` write atomically
+bumps the EOF, so parallel writers can't lose data. To keep a concurrent reader
+from observing a mid-append partial final line we still take ``LOCK_EX`` on the
+writer's single append and ``LOCK_SH`` on the reader's ``readlines()``; there
+is never any exclusive-vs-exclusive contention because nothing rewrites the
+file any more.
+
+The sidecar has a single writer (the replay subprocess) and no live reader, so
+it needs no locking. Atomic rename is still used to keep the on-disk contents
+valid across crashes.
+
+``flock`` is advisory, so this contract only holds for processes that use these
+helpers; ad-hoc writers are not protected.
+"""
+
+from __future__ import annotations
+
+import fcntl
+import json
+import os
+import re
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import TYPE_CHECKING, Any, Generator
+
+from google.protobuf import json_format
+
+if TYPE_CHECKING:
+    from sift_client.sift_types.test_report import TestMeasurement, TestReport, TestStep
+
+
+def _client_version() -> str:
+    from importlib.metadata import PackageNotFoundError, version
+
+    try:
+        return version("sift_stack_py")
+    except PackageNotFoundError:
+        return "unknown"
+
+
+@dataclass
+class LogTracking:
+    """Incremental-replay cursor and simulated-to-real ID map.
+
+    Persisted beside the log file (see module docstring for layout). The log
+    file itself is append-only and stores only API-call data lines.
+
+    * ``last_uploaded_line`` is the count of data lines that have been
+      successfully replayed against the server. Each data line corresponds to a
+      single API call, so line granularity matches the atomic unit of work: a
+      line is either fully replayed or must be retried in its entirety. Data
+      lines are strictly append-only, so this counter is stable across runs.
+    * ``id_map`` maps simulated response IDs (created during the original test
+      run) to the real IDs assigned by the server during replay. Subsequent
+      ``Update*`` entries consult this map to translate IDs.
+    """
+
+    last_uploaded_line: int = 0
+    id_map: dict[str, str] = field(default_factory=dict)
+    client_version: str = field(default_factory=_client_version)
+
+    @staticmethod
+    def sidecar_path(log_path: str | Path) -> Path:
+        """Return the sidecar path for a given log file (``<log>.tracking``)."""
+        p = Path(log_path)
+        return p.with_name(p.name + ".tracking")
+
+    @classmethod
+    def load(cls, log_path: str | Path) -> LogTracking:
+        """Read tracking state for ``log_path``; return a fresh instance if missing or corrupt.
+
+        A missing sidecar is the normal state before the first incremental tick.
+        A malformed sidecar is treated the same so a crash mid-write can't brick
+        replay; the worst case is a re-replay of already-uploaded lines, which
+        the server must be prepared for anyway.
+        """
+        sidecar = cls.sidecar_path(log_path)
+        try:
+            data = json.loads(sidecar.read_text())
+        except (FileNotFoundError, json.JSONDecodeError, OSError):
+            return cls()
+        return cls(
+            last_uploaded_line=data.get("lastUploadedLine", 0),
+            id_map=data.get("idMap", {}),
+            client_version=data.get("clientVersion", "unknown"),
+        )
+
+    def save(self, log_path: str | Path) -> None:
+        """Atomically write tracking state to the sidecar for ``log_path``.
+
+        Uses temp-file + ``os.replace`` so readers (and crash recovery) never
+        observe a partially written sidecar.
+        """
+        sidecar = self.sidecar_path(log_path)
+        sidecar.parent.mkdir(parents=True, exist_ok=True)
+        payload = json.dumps(
+            {
+                "clientVersion": self.client_version,
+                "lastUploadedLine": self.last_uploaded_line,
+                "idMap": self.id_map,
+            },
+            separators=(",", ":"),
+        )
+        tmp = sidecar.with_name(sidecar.name + ".tmp")
+        tmp.write_text(payload)
+        os.replace(tmp, sidecar)
+
+
+@dataclass
+class _ReplayState:
+    """Mutable state accumulated during log replay."""
+
+    report: TestReport | None = None
+    steps_by_id: dict[str, TestStep] = field(default_factory=dict)
+    steps_order: list[str] = field(default_factory=list)
+    measurements_by_id: dict[str, TestMeasurement] = field(default_factory=dict)
+    measurements_order: list[str] = field(default_factory=list)
+
+
+@dataclass
+class ReplayResult:
+    """Result of replaying a log file."""
+
+    report: TestReport
+    steps: list[TestStep] = field(default_factory=list)
+    measurements: list[TestMeasurement] = field(default_factory=list)
+
+
+def log_request_to_file(
+    log_file: str | Path,
+    request_type: str,
+    request: Any,
+    response_id: str | None = None,
+) -> None:
+    """Append a request as a JSON-encoded line to ``log_file``.
+
+    Takes ``LOCK_EX`` across the append so a concurrent reader holding
+    ``LOCK_SH`` in :func:`iter_log_data_lines` can't see a mid-write partial
+    final line. See the module docstring for the full concurrency model.
+
+    Args:
+        log_file: Path to the log file.
+        request_type: Type of request being logged.
+        request: The protobuf request to log.
+        response_id: Optional ID from the simulated response, embedded in the tag
+            for create operations so replay can map previously simulated IDs used
+            by simulated updates.
+    """
+    log_path = Path(log_file)
+    log_path.parent.mkdir(parents=True, exist_ok=True)
+    tag = f"{request_type}:{response_id}" if response_id else request_type
+    request_dict = json_format.MessageToDict(request)
+    request_json = json.dumps(request_dict, separators=(",", ":"))
+    line = f"[{tag}] {request_json}\n"
+    with open(log_path, "a") as f:
+        fcntl.flock(f, fcntl.LOCK_EX)
+        # Closing the file flushes and releases the flock atomically; no
+        # explicit unlock needed here.
+        f.write(line)
+
+
+def iter_log_data_lines(
+    log_path: Path,
+    start_line: int = 0,
+) -> Generator[tuple[str, str | None, str], None, None]:
+    """Parse data lines from a log file.
+
+    Yields ``(request_type, response_id, json_str)`` tuples. Each yielded item
+    corresponds to one logged API call.
+
+    ``start_line`` is the count of data lines (1-based) already uploaded; the
+    iterator skips the first ``start_line`` lines and yields the rest. Pass 0
+    to read all data lines.
+
+    Acquires ``LOCK_SH`` only while snapshotting the file into memory, then
+    releases before yielding. Lines appended by a concurrent
+    :func:`log_request_to_file` after the snapshot are not visible this call --
+    they will be picked up on the next invocation.
+    """
+    line_pattern = re.compile(r"^\[(\w+)(?::([^\]]+))?\]\s*(.+)$")
+    with open(log_path) as f:
+        fcntl.flock(f, fcntl.LOCK_SH)
+        raw_lines = f.readlines()
+
+    data_line_count = 0
+    for raw_line in raw_lines:
+        line = raw_line.strip()
+        if not line:
+            continue
+        match = line_pattern.match(line)
+        if not match:
+            raise ValueError(f"Invalid log line: {line}")
+        data_line_count += 1
+        if data_line_count <= start_line:
+            continue
+        yield (match.group(1), match.group(2), match.group(3))