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Add `xonsh` backfill qualification workflow 

Drive known-bad, fresh, restart and append checks from a private
disposable NativeDB root.

Deats,
- bind child config and imports to the marked worktree root
- preserve checksum-matched reports, snapshots and case metadata
- compare timestamp coverage, seam values and persisted structure
- document manual chart runs, gap triage and the expansion matrix

Prompt-IO: ai/prompt-io/opencode/20260728T003247Z_ed85721c_prompt_io.md

(this patch was generated in some part by `opencode` using `gpt-5.6-sol` (`openai`))
backfiller_deep_fixes
Gud Boi 2026-07-28 19:41:55 -04:00
parent d7d537d531
commit 922a5df88d
6 changed files with 1866 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

7
.claude/skills/run-tests/test-harness-reference.md
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@ -104,6 +104,8 @@ default.
Deterministic or local first-pass targets: Deterministic or local first-pass targets:
- `tests/test_watchlists.py` - `tests/test_watchlists.py`
- `tests/test_storage_audit.py`
- `tests/test_backfill_audit_snippet.py`
- `tests/test_accounting.py::test_account_file_default_empty` - `tests/test_accounting.py::test_account_file_default_empty`
- `tests/test_services.py::test_runtime_boot` - `tests/test_services.py::test_runtime_boot`
- `tests/test_services.py::test_datad_spawn` - `tests/test_services.py::test_datad_spawn`
@ -188,6 +190,9 @@ tests/
test_feeds.py live Binance/Kraken feeds and shared memory test_feeds.py live Binance/Kraken feeds and shared memory
test_questrade.py obsolete credentialed tests; skipped test_questrade.py obsolete credentialed tests; skipped
test_services.py pikerd/datad/feed/EMS actor lifecycle test_services.py pikerd/datad/feed/EMS actor lifecycle
test_storage_audit.py read-only NativeDB audit and JSON CLI
test_backfill_audit_snippet.py
disposable xonsh qualification helpers
test_watchlists.py deterministic watchlist JSON operations test_watchlists.py deterministic watchlist JSON operations
``` ```
@ -196,6 +201,8 @@ tests/
| Changed area | Run first | Caveat | | Changed area | Run first | Caveat |
|---|---|---| |---|---|---|
| `piker/watchlists/` | `tests/test_watchlists.py` | CLI suite is skipped | | `piker/watchlists/` | `tests/test_watchlists.py` | CLI suite is skipped |
| `piker/storage/_audit.py`, `piker/storage/cli.py` | `tests/test_storage_audit.py` | direct Typer app, no actor |
| `snippets/nativedb_backfill_audit.xsh` | `tests/test_backfill_audit_snippet.py` | disposable paths only |
| `piker/config.py` | `test_account_file_default_empty` | root-network test has a known mismatch | | `piker/config.py` | `test_account_file_default_empty` | root-network test has a known mismatch |
| `piker/accounting/` | targeted accounting node | some cases use live/configured state | | `piker/accounting/` | targeted accounting node | some cases use live/configured state |
| `piker/ui/_style.py`, `piker/ui/qt.py` | `tests/test_dpi_font.py` | GUI/config-isolated opt-in | | `piker/ui/_style.py`, `piker/ui/qt.py` | `tests/test_dpi_font.py` | GUI/config-isolated opt-in |

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@ -0,0 +1,42 @@
---
model: gpt-5.6-sol
provider: openai
service: opencode
session: 24fb9765-a550-4570-8350-f0fc9b7e17db
timestamp: 2026-07-28T00:32:47Z
git_ref: ed85721c
scope: code
substantive: true
raw_file: 20260728T003247Z_ed85721c_prompt_io.raw.md
---
## Prompt
Build a safe xonsh workflow for qualifying NativeDB and reverse-backfill
correctness against a known gappy IB chart, beginning with
`mnq.cme.20260918`. Cover baseline, fresh, restart, append, and expansion
testing through implementation, adversarial review, and verification.
## Response summary
Implemented a private disposable xonsh qualification workflow. Evidence is
tied to a fixed case, report checksum, snapshot checksum, worktree import,
and phase metadata. Added explicit path and symlink safety, source
replacement handling, xonsh child environments, and lifecycle preservation
comparisons.
## Files changed
- `snippets/nativedb_backfill_audit.xsh` - disposable qualification helpers
- `docs/manual_backfill_qualification.rst` - operator lifecycle runbook
- `tests/test_backfill_audit_snippet.py` - xonsh and comparison regressions
- `.claude/skills/run-tests/test-harness-reference.md`
- qualification test-harness guidance
- `ai/prompt-io/opencode/20260728T003247Z_ed85721c_prompt_io.raw.md`
- unedited response record
- `ai/prompt-io/opencode/20260728T003247Z_ed85721c_prompt_io.md`
- provenance metadata and response summary
## Human edits
None - generated changes have not been edited by the human.

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---
model: gpt-5.6-sol
provider: openai
service: opencode
timestamp: 2026-07-28T00:32:47Z
git_ref: ed85721c
diff_cmd: git diff HEAD~1..HEAD
---
> `git diff HEAD~1..HEAD -- snippets/nativedb_backfill_audit.xsh docs/manual_backfill_qualification.rst tests/test_backfill_audit_snippet.py .claude/skills/run-tests/test-harness-reference.md`
Added sourceable xonsh helpers that create a private disposable root, bind
child processes to the reviewed worktree, capture checksum-bound phase
evidence, safely seed and clear test history, and compare lifecycle
preservation.
The workflow rejects path traversal, pre-existing symlinks, output
collisions, mismatched case/report/snapshot evidence, and same-phase
comparison. The accompanying runbook covers known-bad replay, fresh
backfill, restart, append, gap triage, and expansion cases.
Verification generated with the patch:
- xonsh qualification helper regressions: passed
- xonsh sourceability: passed
- Ruff: passed
- `git diff --check`: passed
Adversarial review drove additional evidence binding, worktree executable,
environment propagation, source replacement, and descriptor-level safety
fixes. Residual concurrent mutation risk is stated explicitly in the private
disposable-root runbook.

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Manual Backfill Qualification
=============================
Purpose
-------
This runbook separates provider coverage, durable NativeDB state,
shared-memory hydration, and chart rendering while reproducing gappy
history. Work one FQME and timeframe at a time. Preserve the original
Parquet first, then qualify both repair of that evidence and a completely
fresh backfill.
The read-only command used throughout is::
piker store audit FQME --period 60
piker store audit FQME --period 60 --json
It reads raw Parquet directly. It does not open a storage client,
canonicalize data, publish cache state, attach SHM, or rewrite history.
Positive gaps are deliberately unclassified; an observed interval is not
automatically corruption or an expected venue closure.
.. warning::
Do not run qualification against normal user storage. The helper below
requires a marked disposable root before it will seed, archive, or clear
a Parquet. ``piker store anal`` and ``piker store ldshm`` are interactive
and potentially mutating; they are not audit commands.
Keep the disposable root private and do not rename, replace, or symlink
files under it while a helper is running. Stop the chart cleanly before
every audit or comparison phase.
Load The Xonsh Helpers
----------------------
Run from the repository root in the same xonsh which will launch the chart
or daemon::
source snippets/nativedb_backfill_audit.xsh
Choose a disposable root and copy only the provider configuration needed
for the case::
run_root = p'/tmp/piker-backfill/mnq-20260918-60s'
source_config = p'~/.config/piker'.expanduser()
bfq_init(run_root, source_config)
bfq_record_case(
run_root,
fqme='mnq.cme.20260918.ib',
period_s=60,
provider='ib',
symptom='gappy chart during reverse backfill',
bad_start_utc=None,
bad_end_utc=None,
)
``bfq_init()`` sets ``XDG_CONFIG_HOME`` in the current xonsh, so every
subsequent ``piker`` and ``pikerd`` child inherits the disposable config.
The effective storage path is under ``RUN_ROOT/xdg/piker/nativedb``.
It also records the exact repository root and ``piker`` executable in the
qualification marker, prepends that root to child ``PYTHONPATH``, and
verifies that the bound executable exposes ``piker store audit``. Audits
fail if that executable imports another tree.
The copied ``brokers.toml`` can contain credentials. Keep the run root
private and remove it manually after evidence is no longer needed.
Repository Preflight
--------------------
Before every daemon start, verify the code and config inherited by child
processes::
git status --short --branch
git rev-parse HEAD
python -c 'import piker; print(piker.__file__)'
python -c 'import os; print(os.environ["XDG_CONFIG_HOME"])'
Stop any daemon from the previous phase cleanly. Use a separate registry
address in the disposable ``conf.toml`` when a normal Piker stack remains
active.
Known-Bad Replay
----------------
Copy the original file; never move it out of normal storage::
fqme = 'mnq.cme.20260918.ib'
period_s = 60
source_parquet = (
p'~/.config/piker/nativedb'.expanduser()
/f'{fqme}.ohlcv{period_s}s.parquet'
)
bfq_seed(run_root, fqme, period_s, source_parquet)
bfq_audit(run_root, 'baseline', fqme, period_s)
The baseline phase writes::
evidence/baseline.json
evidence/baseline.parquet
evidence/baseline.manual.json
The JSON checksum must match the read-only snapshot, and the manual sidecar
binds that report to its phase and case. Comparison rechecks those bindings
before reading either phase. The report records raw schema, row and
timestamp counts, non-finite values, ordering, duplicate excess, canonical
index state, and every retained positive-gap detail. Files with invalid
Parquet encoding can not produce a JSON report, but ``--snapshot`` still
preserves their exact bytes before parse failure.
Launch the chart manually from the same shell and capture logs::
piker -l info chart mnq.cme.20260918.ib \
2>&1 | tee @(run_root / 'logs' / 'repair-chart.log')
After a clean stop::
bfq_audit(
run_root,
'repair',
fqme,
period_s,
require_structural=True,
)
bfq_compare(run_root, 'baseline', 'repair')
The comparison fails if structural validity regresses, any original
timestamp disappears, chronological endpoints shrink, timestamps become
duplicated or unordered, indexes cease to be canonical, or OHLCV becomes
non-finite. Provider replacement of matching seam rows is reported
separately as ``changed_common_timestamps`` for operator review.
Fresh Backfill
--------------
Yes, fresh qualification means saving the known-bad evidence and then
starting with no active Parquet in the disposable NativeDB. Archive only
the disposable file::
bfq_clear_for_fresh(run_root, fqme, period_s)
Confirm the printed active path is absent, launch the same chart, wait for
bounded provider exhaustion or the intended coverage, then stop cleanly::
bfq_audit(
run_root,
'fresh',
fqme,
period_s,
require_structural=True,
)
Do not compare ``baseline`` to ``fresh`` as a timestamp-preservation gate:
provider limits may intentionally produce a different initial extent.
Treat ``fresh`` as the baseline for restart and append qualification.
Restart And Append
------------------
Restart the same chart against the fresh persisted file, stop cleanly, and
record::
bfq_audit(
run_root,
'restart',
fqme,
period_s,
require_structural=True,
)
bfq_compare(run_root, 'fresh', 'restart')
Leave a subsequent run active long enough to append new samples, stop, and
record::
bfq_audit(
run_root,
'append',
fqme,
period_s,
require_structural=True,
)
bfq_compare(
run_root,
'restart',
'append',
require_newer=True,
)
The comparison JSON reports gaps added and removed. Expected closures stay
visible until a venue-aware classifier proves their session alignment.
Gap Layer Triage
----------------
Use the persisted report and chart together:
=============================== =========================================
Observation Suspected layer
=============================== =========================================
Parquet contiguous, chart gappy SHM hydration, sampling, or chart render
Parquet gap, provider has bars provider-delta or storage merge
Provider and Parquet both gappy provider omission or venue closure
Gap vanishes after restart SHM publication or cache lifecycle
Old timestamps disappear destructive persistence regression
Newest seam duplicates conflict or dedupe policy
=============================== =========================================
Always record exact UTC gap endpoints. The audit's numeric epoch is
authoritative; the ``*_utc`` fields are deterministic display values.
Expansion Matrix
----------------
Expand only after the fixed FQME passes fresh, restart, and append. Use a
new disposable root and case record for every row:
==================== ========== ========================================
Case Period Coverage model
==================== ========== ========================================
Original IB future 60 seconds CME maintenance and weekend closures
Original IB future 1 second high-frequency provider limits
Second CME future 60 seconds contract-specific history
IB equity 60 seconds regular overnight and weekend closure
IB FX 60 seconds 24x5 session behavior
Crypto spot/perp 60 seconds continuous-session control
Expired future 60 seconds history-only and expiry behavior
==================== ========== ========================================
A sourceable matrix can remain ordinary Python data in xonsh::
cases = [
{
'name': 'mnq-60s',
'fqme': 'mnq.cme.20260918.ib',
'period_s': 60,
'provider': 'ib',
},
{
'name': 'mnq-1s',
'fqme': 'mnq.cme.20260918.ib',
'period_s': 1,
'provider': 'ib',
},
]
for case in cases:
case_root = p'/tmp/piker-backfill' / case['name']
bfq_init(case_root, source_config)
bfq_record_case(
case_root,
fqme=case['fqme'],
period_s=case['period_s'],
provider=case['provider'],
symptom='manual expansion case',
)
This loop prepares isolated case roots only. Run the complete seed or
fresh, chart, audit, restart, append, and compare lifecycle in each root;
directory creation alone is not qualification.
The chart path may allocate companion 1-second and 60-second files. Audit
the selected case path explicitly and retain companion files as secondary
evidence; do not imply that the live request isolated one timeframe.
Interruption Qualification
--------------------------
After normal restart is stable, interrupt one phase with graceful Ctrl-C,
restart, and compare against the last clean evidence. Provider disconnect,
SIGTERM, and deterministic write-barrier failures come next. Avoid timing a
SIGKILL by hand; add an explicit failpoint before qualifying atomic replace
boundaries.
Result Interpretation
---------------------
``structural_ok`` means the raw persisted file satisfies durable schema,
finite values, positive unique ordered timestamps, canonical index, and
period-aligned gaps. ``gap_free`` means no positive gaps were observed when
at least two valid timestamps made cadence verifiable; otherwise it is
``null``. ``qualification_ok`` combines both and is intentionally strict.
A structurally valid session-market file can have ``gap_free = false``.
Those intervals require provider/session evidence before being marked as
expected closures. Unknown calendar state must stay unknown.

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#!env xonsh
'''
Sourceable helpers for disposable NativeDB backfill qualification.
Usage:
source snippets/nativedb_backfill_audit.xsh
Every mutating helper requires a marker created by ``bfq_init()`` and
refuses to operate outside that disposable root.
Keep the private run root free from concurrent manual changes.
'''
from datetime import (
UTC,
datetime,
)
from hashlib import sha256
import json
import os
from pathlib import Path
import shutil
import subprocess
from typing import BinaryIO
import numpy as np
import polars as pl
_bfq_marker: str = '.piker-backfill-qualification'
_bfq_schema: str = 'piker.backfill-qualification/v1'
_bfq_audit_schema: str = 'piker.nativedb.audit/v1'
def _bfq_process_env() -> dict[str, str]:
'''
Return the effective environment inherited by xonsh children.
'''
env: dict[str, str] = os.environ.copy()
try:
from xonsh.built_ins import XSH
except ImportError:
return env
if XSH.env is not None:
env.update(XSH.env.detype())
return env
def _bfq_setenv(name: str, value: str) -> None:
'''
Update both Python and xonsh subprocess environments.
'''
os.environ[name] = value
try:
from xonsh.built_ins import XSH
except ImportError:
return
if XSH.env is not None:
XSH.env[name] = value
def _bfq_metadata(root: Path) -> dict:
marker: Path = root / _bfq_marker
if (
not marker.is_file()
or
marker.is_symlink()
):
raise RuntimeError(
f'Qualification marker missing or unsafe: {marker}'
)
metadata: dict = json.loads(marker.read_text())
if metadata.get('schema') != _bfq_schema:
raise RuntimeError(f'Unknown qualification marker: {marker}')
if Path(metadata['root']).resolve() != root:
raise RuntimeError(
f'Qualification marker root mismatch: {marker}'
)
return metadata
def _bfq_root(run_root: str|Path) -> Path:
root = Path(run_root).expanduser().resolve()
_bfq_metadata(root)
return root
def _bfq_fqme(fqme: str) -> str:
if (
fqme in {'.', '..'}
or
Path(fqme).name != fqme
or
'/' in fqme
or
'\\' in fqme
):
raise ValueError(f'Unsafe FQME path component: {fqme!r}')
return fqme
def _bfq_paths(
run_root: str|Path,
fqme: str,
period_s: int,
) -> tuple[Path, Path, Path, Path]:
root: Path = _bfq_root(run_root)
fqme = _bfq_fqme(fqme)
xdg: Path = root / 'xdg'
evidence: Path = root / 'evidence'
nativedb: Path = xdg / 'piker' / 'nativedb'
parquet: Path = nativedb / f'{fqme}.ohlcv{period_s}s.parquet'
for path in (xdg, evidence, nativedb, parquet):
resolved: Path = path.resolve()
if not resolved.is_relative_to(root):
raise RuntimeError(
f'Qualification path escaped run root: {resolved}'
)
if path.is_symlink():
raise RuntimeError(f'Refusing symlinked path: {path}')
return root, xdg, evidence, parquet
def _bfq_hash_file(file: BinaryIO) -> str:
digest = sha256()
file.seek(0)
for chunk in iter(
lambda: file.read(1024 * 1024),
b'',
):
digest.update(chunk)
return digest.hexdigest()
def _bfq_hash(path: Path) -> str:
with path.open('rb') as file:
return _bfq_hash_file(file)
def _bfq_read_bytes(path: Path) -> bytes:
descriptor: int = os.open(
path,
os.O_RDONLY | os.O_CLOEXEC | os.O_NOFOLLOW,
)
with os.fdopen(descriptor, 'rb') as file:
return file.read()
def _bfq_copy_exclusive(
source: Path,
destination: Path,
mode: int|None = None,
) -> None:
'''
Copy bytes to a new non-symlink path without replacement.
'''
if destination.is_symlink():
raise RuntimeError(
f'Refusing symlinked output: {destination}'
)
created: bool = False
try:
with source.open('rb') as source_file:
with destination.open('xb') as destination_file:
created = True
if mode is not None:
os.fchmod(destination_file.fileno(), mode)
shutil.copyfileobj(source_file, destination_file)
except BaseException:
if created:
destination.unlink(missing_ok=True)
raise
def _bfq_phase(phase: str) -> str:
safe: str = phase.replace('-', '').replace('_', '')
if not safe.isalnum():
raise ValueError(
'Phase names may contain letters, numbers, - and _ only'
)
return phase
def bfq_init(
run_root: str|Path,
source_config: str|Path|None = None,
validate_piker: bool = True,
) -> Path:
'''
Create a disposable XDG root and optionally copy provider config.
'''
root = Path(run_root).expanduser().resolve()
marker: Path = root / _bfq_marker
marker_exists: bool = (
marker.exists()
or
marker.is_symlink()
)
if (
root.exists()
and
not marker_exists
and
any(root.iterdir())
):
raise RuntimeError(
f'Refusing non-empty unmarked directory: {root}'
)
if marker_exists:
metadata: dict = _bfq_metadata(root)
else:
metadata = {}
xdg: Path = root / 'xdg'
piker_conf: Path = xdg / 'piker'
nativedb: Path = piker_conf / 'nativedb'
evidence: Path = root / 'evidence'
logs: Path = root / 'logs'
for path in (root, xdg, piker_conf, nativedb, evidence, logs):
if path.is_symlink():
raise RuntimeError(f'Refusing symlinked path: {path}')
if not path.resolve().is_relative_to(root):
raise RuntimeError(
f'Path escaped qualification root: {path}'
)
path.mkdir(parents=True, exist_ok=True, mode=0o700)
path.chmod(0o700)
if not marker_exists:
process_env: dict[str, str] = _bfq_process_env()
repo_root = subprocess.run(
['git', 'rev-parse', '--show-toplevel'],
check=True,
capture_output=True,
env=process_env,
text=True,
).stdout.strip()
piker_executable: str|None = shutil.which(
'piker',
path=process_env.get('PATH'),
)
if piker_executable is None:
raise RuntimeError('No `piker` executable found in PATH')
marker_data: dict = {
'schema': _bfq_schema,
'root': str(root),
'repo_root': str(Path(repo_root).resolve()),
'piker_executable': str(
Path(piker_executable).resolve()
),
}
metadata = marker_data
if validate_piker:
process_env = _bfq_process_env()
repo_root = metadata['repo_root']
pythonpath: list[str] = [repo_root]
pythonpath.extend(
path
for path in process_env.get('PYTHONPATH', '').split(
os.pathsep
)
if path and path != repo_root
)
process_env['PYTHONPATH'] = os.pathsep.join(pythonpath)
proc = subprocess.run(
[
metadata['piker_executable'],
'store',
'audit',
'--help',
],
check=False,
capture_output=True,
cwd=metadata['repo_root'],
env=process_env,
text=True,
)
if proc.returncode:
raise RuntimeError(
f'Bound `piker` lacks `store audit`:\n'
f'{metadata["piker_executable"]}\n'
f'{proc.stderr}'
)
if not marker_exists:
with marker.open('x') as marker_file:
os.fchmod(marker_file.fileno(), 0o600)
marker_file.write(
json.dumps(metadata, indent=2, sort_keys=True)
+'\n'
)
if source_config is not None:
source = Path(source_config).expanduser().resolve()
for name in ('conf.toml', 'brokers.toml'):
src: Path = source / name
dst: Path = piker_conf / name
if src.is_file() and not dst.exists():
shutil.copy2(src, dst)
if name == 'brokers.toml':
with dst.open('rb') as config_file:
os.fchmod(config_file.fileno(), 0o600)
bfq_use(root)
print(
f'Disposable qualification root ready:\n'
f' root: {root}\n'
f' XDG_CONFIG_HOME: {root / "xdg"}\n'
)
return root
def bfq_use(run_root: str|Path) -> Path:
'''
Point xonsh and future children at the disposable root.
'''
root: Path = _bfq_root(run_root)
metadata: dict = _bfq_metadata(root)
xdg: Path = root / 'xdg'
repo_root: str = metadata['repo_root']
process_env: dict[str, str] = _bfq_process_env()
pythonpath: list[str] = [repo_root]
pythonpath.extend(
path
for path in process_env.get('PYTHONPATH', '').split(
os.pathsep
)
if path and path != repo_root
)
_bfq_setenv('XDG_CONFIG_HOME', str(xdg))
_bfq_setenv('PYTHONPATH', os.pathsep.join(pythonpath))
print(f'XDG_CONFIG_HOME={xdg}')
return xdg
def bfq_record_case(
run_root: str|Path,
fqme: str,
period_s: int,
provider: str,
symptom: str,
bad_start_utc: str|None = None,
bad_end_utc: str|None = None,
) -> Path:
'''
Save read-only operator inputs used to identify one case.
'''
root: Path = _bfq_root(run_root)
fqme = _bfq_fqme(fqme)
path: Path = root / 'case.json'
if path.is_symlink():
raise RuntimeError(f'Refusing symlinked case record: {path}')
if path.exists():
raise FileExistsError(f'Case record already exists: {path}')
case: dict = {
'fqme': fqme,
'period_s': period_s,
'provider': provider,
'symptom': symptom,
'bad_start_utc': bad_start_utc,
'bad_end_utc': bad_end_utc,
'created_at_utc': datetime.now(tz=UTC).isoformat(),
}
with path.open('x') as case_file:
os.fchmod(case_file.fileno(), 0o444)
case_file.write(
json.dumps(case, indent=2, sort_keys=True) + '\n'
)
print(f'Wrote case record: {path}')
return path
def bfq_seed(
run_root: str|Path,
fqme: str,
period_s: int,
source_parquet: str|Path,
) -> Path:
'''
Copy a known-bad Parquet into disposable storage and evidence.
'''
(
root,
_,
evidence,
parquet,
) = _bfq_paths(run_root, fqme, period_s)
source = Path(source_parquet).expanduser().resolve()
if not source.is_file():
raise FileNotFoundError(source)
if parquet.exists():
raise FileExistsError(parquet)
evidence_seed: Path = evidence / 'seed.parquet'
if evidence_seed.exists():
raise FileExistsError(evidence_seed)
_bfq_copy_exclusive(source, evidence_seed, mode=0o444)
_bfq_copy_exclusive(evidence_seed, parquet)
print(
f'Seeded disposable NativeDB:\n'
f' source: {source}\n'
f' evidence: {evidence_seed}\n'
f' active: {parquet}\n'
f' root: {root}\n'
)
return parquet
def bfq_clear_for_fresh(
run_root: str|Path,
fqme: str,
period_s: int,
) -> Path|None:
'''
Remove only disposable active history after archiving it.
'''
(
_,
_,
evidence,
parquet,
) = _bfq_paths(run_root, fqme, period_s)
if not parquet.exists():
print(f'Already fresh; no active Parquet: {parquet}')
return None
stamp: str = datetime.now(tz=UTC).strftime(
'%Y%m%dT%H%M%S%fZ'
)
archived: Path = evidence / f'pre-fresh-{stamp}.parquet'
if (
archived.exists()
or
archived.is_symlink()
):
raise FileExistsError(archived)
os.link(parquet, archived)
with archived.open('rb') as archived_file:
os.fchmod(archived_file.fileno(), 0o444)
parquet.unlink()
print(
f'Archived disposable history for fresh backfill:\n'
f' archived: {archived}\n'
f' active path now absent: {parquet}\n'
)
return archived
def bfq_audit(
run_root: str|Path,
phase: str,
fqme: str,
period_s: int,
max_gaps: int = 200,
require_structural: bool = False,
) -> dict:
'''
Save JSON plus a checksum-matched Parquet snapshot for one phase.
'''
phase = _bfq_phase(phase)
(
root,
_,
evidence,
parquet,
) = _bfq_paths(run_root, fqme, period_s)
bfq_use(root)
if not parquet.is_file():
raise FileNotFoundError(parquet)
report_path: Path = evidence / f'{phase}.json'
snapshot_path: Path = evidence / f'{phase}.parquet'
manual_path: Path = evidence / f'{phase}.manual.json'
if any(
path.exists()
for path in (report_path, snapshot_path, manual_path)
):
raise FileExistsError(
f'Phase evidence already exists: {phase}'
)
metadata: dict = _bfq_metadata(root)
piker_cmd: str = metadata['piker_executable']
proc = subprocess.run(
[
piker_cmd,
'store',
'audit',
fqme,
'--period',
str(period_s),
'--max-gaps',
str(max_gaps),
'--output',
str(report_path),
'--snapshot',
str(snapshot_path),
'--json',
],
check=False,
capture_output=True,
env=_bfq_process_env(),
text=True,
)
if proc.returncode:
raise RuntimeError(
f'`piker store audit` failed ({proc.returncode}):\n'
f'{proc.stderr}'
)
report: dict = json.loads(report_path.read_text())
report_hash: str = _bfq_hash(report_path)
snapshot_hash: str = _bfq_hash(snapshot_path)
if snapshot_hash != report['source']['sha256']:
raise RuntimeError('Audit snapshot checksum mismatch')
git_head = subprocess.run(
['git', 'rev-parse', 'HEAD'],
cwd=metadata['repo_root'],
check=False,
capture_output=True,
text=True,
).stdout.strip()
piker_file = Path(report['runtime']['piker_file']).resolve()
repo_root = Path(metadata['repo_root']).resolve()
if not piker_file.is_relative_to(repo_root):
raise RuntimeError(
f'`piker` imported outside reviewed repo: {piker_file}'
)
manual: dict = {
'phase': phase,
'run_root': str(root),
'snapshot_path': snapshot_path.name,
'report_sha256': report_hash,
'git_head': git_head,
'piker_file': str(piker_file),
'piker_executable': piker_cmd,
'xdg_config_home': os.environ['XDG_CONFIG_HOME'],
}
with manual_path.open('x') as manual_file:
os.fchmod(manual_file.fileno(), 0o444)
manual_file.write(
json.dumps(manual, indent=2, sort_keys=True) + '\n'
)
with report_path.open('rb') as report_file:
os.fchmod(report_file.fileno(), 0o444)
result: dict = report['result']
print(
f'Audit saved: {report_path}\n'
f' snapshot: {snapshot_path}\n'
f' rows: {report["rows"]["count"]}\n'
f' structural_ok: {result["structural_ok"]}\n'
f' gaps: {report["gaps"]["count"]}\n'
)
if (
require_structural
and
not result['structural_ok']
):
raise AssertionError(
f'Phase is structurally invalid: {report_path}'
)
return report
def bfq_compare(
run_root: str|Path,
before_phase: str,
after_phase: str,
require_newer: bool = False,
) -> dict:
'''
Compare evidence and fail on core preservation regressions.
'''
before_phase = _bfq_phase(before_phase)
after_phase = _bfq_phase(after_phase)
if before_phase == after_phase:
raise ValueError('Comparison phases must differ')
root: Path = _bfq_root(run_root)
evidence: Path = root / 'evidence'
if (
evidence.is_symlink()
or
not evidence.is_dir()
or
not evidence.resolve().is_relative_to(root)
):
raise RuntimeError(f'Unsafe evidence directory: {evidence}')
case_path: Path = root / 'case.json'
if (
case_path.is_symlink()
or
not case_path.is_file()
):
raise RuntimeError(
f'Qualification case missing: {case_path}'
)
case: dict = json.loads(case_path.read_text())
def load_phase(phase: str) -> tuple[dict, pl.DataFrame]:
report_path: Path = evidence / f'{phase}.json'
snapshot_path: Path = evidence / f'{phase}.parquet'
manual_path: Path = evidence / f'{phase}.manual.json'
for path in (report_path, snapshot_path, manual_path):
if (
path.is_symlink()
or
not path.is_file()
or
not path.resolve().is_relative_to(root)
):
raise RuntimeError(f'Unsafe phase evidence: {path}')
report_bytes: bytes = _bfq_read_bytes(report_path)
manual_bytes: bytes = _bfq_read_bytes(manual_path)
report: dict = json.loads(report_bytes)
manual: dict = json.loads(manual_bytes)
if report.get('audit_schema') != _bfq_audit_schema:
raise RuntimeError(
f'Unknown audit schema: {report_path}'
)
if (
report.get('fqme') != case.get('fqme')
or
report.get('period_s') != case.get('period_s')
):
raise RuntimeError(
f'Phase does not match qualification case: {phase}'
)
if (
manual.get('phase') != phase
or
manual.get('run_root') != str(root)
or
manual.get('snapshot_path') != snapshot_path.name
):
raise RuntimeError(f'Manual metadata mismatch: {phase}')
report_hash: str = sha256(report_bytes).hexdigest()
if report_hash != manual.get('report_sha256'):
raise RuntimeError(
f'Audit report checksum mismatch: {phase}'
)
descriptor: int = os.open(
snapshot_path,
os.O_RDONLY | os.O_CLOEXEC | os.O_NOFOLLOW,
)
with os.fdopen(descriptor, 'rb') as snapshot_file:
snapshot_stat = os.fstat(snapshot_file.fileno())
snapshot_hash: str = _bfq_hash_file(snapshot_file)
if snapshot_hash != report['source']['sha256']:
raise RuntimeError(
f'Audit snapshot checksum mismatch: {phase}'
)
source_size: int = report['source']['size_bytes']
if snapshot_stat.st_size != source_size:
raise RuntimeError(
f'Audit snapshot size mismatch: {phase}'
)
snapshot_file.seek(0)
frame: pl.DataFrame = pl.read_parquet(snapshot_file)
return report, frame
before, before_frame = load_phase(before_phase)
after, after_frame = load_phase(after_phase)
limitations: list[str] = []
def valid_timestamps(
frame: pl.DataFrame,
label: str,
) -> set|None:
if 'time' not in frame.columns:
limitations.append(f'{label}_time_missing')
return None
time_dtype = frame['time'].dtype
if not (
time_dtype.is_integer()
or
time_dtype.is_float()
):
limitations.append(f'{label}_time_nonnumeric')
return None
timestamps: set = set()
for timestamp in frame['time'].drop_nulls().to_list():
if (
isinstance(timestamp, float)
and
not np.isfinite(timestamp)
):
continue
if timestamp <= 0:
continue
timestamps.add(timestamp)
return timestamps
before_times: set|None = valid_timestamps(
before_frame,
'before',
)
after_times: set|None = valid_timestamps(
after_frame,
'after',
)
missing_times: list = []
if (
before_times is not None
and
after_times is not None
):
missing_times = sorted(before_times - after_times)
value_fields: list[str] = [
'open',
'high',
'low',
'close',
'volume',
]
changed_times: list|None = None
seam_columns: set[str] = set(value_fields)
seam_columns.add('time')
seam_ready: bool = bool(
seam_columns.issubset(before_frame.columns)
and
seam_columns.issubset(after_frame.columns)
and
before_times is not None
and
after_times is not None
)
if seam_ready:
before_latest = before_frame.unique(
subset='time',
keep='last',
).filter(
pl.col('time').is_not_null()
&
pl.col('time').is_finite()
&
(pl.col('time') > 0)
).select([
'time',
pl.struct(value_fields).hash().alias('value_hash'),
])
after_latest = after_frame.unique(
subset='time',
keep='last',
).filter(
pl.col('time').is_not_null()
&
pl.col('time').is_finite()
&
(pl.col('time') > 0)
).select([
'time',
pl.struct(value_fields).hash().alias('value_hash'),
])
common = before_latest.join(
after_latest,
on='time',
how='inner',
suffix='_after',
)
changed_times = sorted(
common
.filter(
pl.col('value_hash')
!=
pl.col('value_hash_after')
)
['time']
.to_list()
)
else:
limitations.append('common_value_comparison_unavailable')
before_gaps: set[tuple] = {
(
gap['left_timestamp'],
gap['right_timestamp'],
)
for gap in before['gaps']['intervals']
}
after_gaps: set[tuple] = {
(
gap['left_timestamp'],
gap['right_timestamp'],
)
for gap in after['gaps']['intervals']
}
before_min = min(before_times) if before_times else None
after_min = min(after_times) if after_times else None
before_max = max(before_times) if before_times else None
after_max = max(after_times) if after_times else None
checks: dict[str, bool] = {
'after_structural_ok': after['result']['structural_ok'],
'no_timestamps_lost': bool(
before_times is not None
and
after_times is not None
and
not missing_times
),
'minimum_not_later': bool(
before_min is not None
and
after_min is not None
and
after_min
<=
before_min
),
'maximum_not_earlier': bool(
before_max is not None
and
after_max is not None
and
after_max
>=
before_max
),
'timestamps_unique': (
after['timestamps'].get('duplicate_excess') == 0
),
'timestamps_ordered': (
after['timestamps'].get('non_positive_delta') == 0
),
'index_canonical': after['index']['canonical_from_zero'],
'ohlcv_finite': after['values']['all_finite'],
}
if require_newer:
checks['maximum_advanced'] = bool(
before_max is not None
and
after_max is not None
and
after_max > before_max
)
gap_details_truncated: bool = bool(
before['gaps']['details_truncated']
or
after['gaps']['details_truncated']
)
gaps_added: list|None = None
gaps_removed: list|None = None
if not gap_details_truncated:
gaps_added = sorted(after_gaps - before_gaps)
gaps_removed = sorted(before_gaps - after_gaps)
comparison: dict = {
'before_phase': before_phase,
'after_phase': after_phase,
'checks': checks,
'passed': all(checks.values()),
'before_rows': before['rows']['count'],
'after_rows': after['rows']['count'],
'missing_timestamp_count': len(missing_times),
'missing_timestamps': missing_times[:200],
'missing_timestamps_truncated': len(missing_times) > 200,
'before_duplicate_excess': (
before['timestamps'].get('duplicate_excess')
),
'after_duplicate_excess': (
after['timestamps'].get('duplicate_excess')
),
'changed_common_row_count': (
len(changed_times)
if changed_times is not None
else None
),
'changed_common_timestamps': (
changed_times[:200]
if changed_times is not None
else None
),
'changed_common_rows_truncated': bool(
changed_times is not None
and
len(changed_times) > 200
),
'gaps_added': gaps_added,
'gaps_removed': gaps_removed,
'gap_comparison_truncated': gap_details_truncated,
'limitations': limitations,
}
output: Path = (
evidence
/f'compare-{before_phase}-to-{after_phase}.json'
)
if output.is_symlink():
raise RuntimeError(f'Refusing symlinked output: {output}')
if output.exists():
raise FileExistsError(output)
with output.open('x') as output_file:
os.fchmod(output_file.fileno(), 0o444)
output_file.write(
json.dumps(
comparison,
allow_nan=False,
indent=2,
sort_keys=True,
)
+'\n'
)
print(f'Comparison saved: {output}')
for check, passed in checks.items():
print(f' {"PASS" if passed else "FAIL"}: {check}')
print(
f' changed common rows: '
f'{None if changed_times is None else len(changed_times)}\n'
f' gaps added: '
f'{None if gaps_added is None else len(gaps_added)}\n'
f' gaps removed: '
f'{None if gaps_removed is None else len(gaps_removed)}\n'
)
if not comparison['passed']:
raise AssertionError(
f'Qualification comparison failed: {output}'
)
return comparison

564
tests/test_backfill_audit_snippet.py 100644
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@ -0,0 +1,564 @@
'''
Operator backfill-audit helper regressions.
'''
from hashlib import sha256
import json
from pathlib import Path
import runpy
import subprocess
import numpy as np
import polars as pl
import pytest
from piker.storage._audit import audit_ohlcv_parquet
def load_helpers() -> dict:
'''
Load the sourceable xonsh file as its pure-Python namespace.
'''
path = (
Path(__file__).parents[1]
/'snippets'
/'nativedb_backfill_audit.xsh'
)
return runpy.run_path(path)
def mk_frame(
times: tuple[int, ...],
closes: tuple[float, ...]|None = None,
) -> pl.DataFrame:
'''
Build canonical history for evidence comparisons.
'''
size: int = len(times)
closes = closes or tuple(float(value) for value in times)
return pl.DataFrame({
'index': pl.Series(np.arange(size), dtype=pl.Int64),
'time': pl.Series(times, dtype=pl.Int64),
'open': pl.Series(np.arange(size), dtype=pl.Float64),
'high': pl.Series(np.arange(size) + 1, dtype=pl.Float64),
'low': pl.Series(np.arange(size), dtype=pl.Float64),
'close': pl.Series(closes, dtype=pl.Float64),
'volume': pl.Series(np.arange(size), dtype=pl.Float64),
})
def init_case(
helpers: dict,
run_root: Path,
) -> None:
'''
Initialize one fixed synthetic qualification case.
'''
helpers['bfq_init'](run_root, validate_piker=False)
helpers['bfq_record_case'](
run_root,
fqme='x.test',
period_s=60,
provider='fake',
symptom='synthetic lifecycle regression',
)
def write_phase_evidence(
run_root: Path,
phase: str,
path: Path,
fqme: str = 'x.test',
) -> None:
'''
Write checksum-bound report and manual metadata for a snapshot.
'''
report: dict = audit_ohlcv_parquet(
path,
fqme=fqme,
period_s=60,
)
evidence: Path = run_root / 'evidence'
report_path: Path = evidence / f'{phase}.json'
report_path.write_text(
json.dumps(report, indent=2, sort_keys=True) + '\n'
)
manual: dict = {
'phase': phase,
'run_root': str(run_root.resolve()),
'snapshot_path': path.name,
'report_sha256': sha256(
report_path.read_bytes()
).hexdigest(),
}
(evidence / f'{phase}.manual.json').write_text(
json.dumps(manual, indent=2, sort_keys=True) + '\n'
)
def test_disposable_seed_is_archived_before_fresh(
tmp_path: Path,
) -> None:
'''
Fresh qualification must never remove the operator's source file.
The workflow starts from known-bad production evidence but needs
an empty disposable NativeDB for a full provider backfill.
Initialize a marked root, seed by copy, then clear for fresh and
prove both the original and evidence copy survive while only the
disposable active path is moved into the evidence directory.
'''
helpers: dict = load_helpers()
run_root: Path = tmp_path / 'run'
source: Path = tmp_path / 'known-bad.parquet'
mk_frame((60, 120)).write_parquet(source)
helpers['bfq_init'](run_root, validate_piker=False)
active: Path = helpers['bfq_seed'](
run_root,
'x.test',
60,
source,
)
archived: Path = helpers['bfq_clear_for_fresh'](
run_root,
'x.test',
60,
)
assert source.is_file()
assert (run_root / 'evidence' / 'seed.parquet').is_file()
assert archived.is_file()
assert not active.exists()
def test_seed_active_copy_comes_from_captured_evidence(
tmp_path: Path,
) -> None:
'''
Source replacement must not split baseline and replay bytes.
Production writers replace Parquet atomically, so copying the
source twice can capture one generation as evidence and replay
another. Replace the source after the first copy, then prove the
the active disposable file still derives
from the captured seed rather than reopening the changed source.
'''
helpers: dict = load_helpers()
run_root: Path = tmp_path / 'run'
source: Path = tmp_path / 'source.parquet'
original: bytes
mk_frame((60, 120)).write_parquet(source)
original = source.read_bytes()
helpers['bfq_init'](run_root, validate_piker=False)
real_copy = helpers['_bfq_copy_exclusive']
copied: int = 0
def replace_after_capture(
src: Path,
dst: Path,
mode: int|None = None,
) -> None:
nonlocal copied
real_copy(src, dst, mode=mode)
copied += 1
if copied == 1:
mk_frame((60, 180)).write_parquet(source)
helpers['bfq_seed'].__globals__[
'_bfq_copy_exclusive'
] = replace_after_capture
active: Path = helpers['bfq_seed'](
run_root,
'x.test',
60,
source,
)
assert source.read_bytes() != original
assert active.read_bytes() == original
assert (
run_root / 'evidence' / 'seed.parquet'
).read_bytes() == original
def test_seed_copy_failure_removes_partial_active_file(
tmp_path: Path,
monkeypatch: pytest.MonkeyPatch,
) -> None:
'''
Failed replay copy must not leave an active partial Parquet.
Seed evidence can complete before the disposable active copy runs
out of space. A partial active path blocks retry and lets a chart
mistake truncated bytes for history. Fail the second copy
after a short write and prove active storage is removed while the
completed seed remains exact.
'''
helpers: dict = load_helpers()
run_root: Path = tmp_path / 'run'
source: Path = tmp_path / 'source.parquet'
mk_frame((60, 120)).write_parquet(source)
before: bytes = source.read_bytes()
helpers['bfq_init'](run_root, validate_piker=False)
real_copy = helpers['shutil'].copyfileobj
copies: int = 0
def fail_second(source_file, destination_file) -> None:
nonlocal copies
copies += 1
if copies == 2:
destination_file.write(source_file.read(10))
raise OSError('simulated full filesystem')
real_copy(source_file, destination_file)
monkeypatch.setattr(
helpers['shutil'],
'copyfileobj',
fail_second,
)
with pytest.raises(OSError, match='full filesystem'):
helpers['bfq_seed'](
run_root,
'x.test',
60,
source,
)
active: Path = (
run_root
/'xdg/piker/nativedb/x.test.ohlcv60s.parquet'
)
assert not active.exists()
assert (
run_root / 'evidence' / 'seed.parquet'
).read_bytes() == before
def test_helpers_reject_paths_outside_marked_root(
tmp_path: Path,
) -> None:
'''
A marker must not authorize traversal or symlinked paths.
FQME text becomes part of the active Parquet filename and fresh
reset moves that path. Prove parent traversal is rejected, then
replace the evidence directory with a symlink and prove path
construction refuses to cross the disposable-root boundary.
'''
helpers: dict = load_helpers()
run_root: Path = tmp_path / 'run'
helpers['bfq_init'](run_root, validate_piker=False)
with pytest.raises(ValueError, match='Unsafe FQME'):
helpers['_bfq_paths'](
run_root,
'../../outside',
60,
)
evidence: Path = run_root / 'evidence'
outside: Path = tmp_path / 'outside'
outside.mkdir()
evidence.rmdir()
evidence.symlink_to(outside, target_is_directory=True)
with pytest.raises(RuntimeError, match='symlinked path'):
helpers['bfq_init'](
run_root,
validate_piker=False,
)
with pytest.raises(RuntimeError, match='escaped run root'):
helpers['_bfq_paths'](run_root, 'x.test', 60)
with pytest.raises(RuntimeError, match='Unsafe evidence'):
helpers['bfq_compare'](run_root, 'before', 'after')
def test_helpers_reject_dangling_evidence_symlinks(
tmp_path: Path,
) -> None:
'''
Final evidence names must not follow dangling external symlinks.
``Path.exists()`` is false for a dangling symlink, which can make
a check-then-write path create its external target. Link the case
record and seed outside a marked root. Prove both writers reject
the final component before creating external bytes.
'''
helpers: dict = load_helpers()
run_root: Path = tmp_path / 'run'
helpers['bfq_init'](run_root, validate_piker=False)
outside_case: Path = tmp_path / 'outside-case.json'
case_path: Path = run_root / 'case.json'
case_path.symlink_to(outside_case)
with pytest.raises(RuntimeError, match='symlinked case'):
helpers['bfq_record_case'](
run_root,
fqme='x.test',
period_s=60,
provider='fake',
symptom='unsafe path test',
)
assert not outside_case.exists()
case_path.unlink()
source: Path = tmp_path / 'source.parquet'
mk_frame((60, 120)).write_parquet(source)
outside_seed: Path = tmp_path / 'outside-seed.parquet'
seed: Path = run_root / 'evidence' / 'seed.parquet'
seed.symlink_to(outside_seed)
with pytest.raises(RuntimeError, match='symlinked output'):
helpers['bfq_seed'](
run_root,
'x.test',
60,
source,
)
assert not outside_seed.exists()
def test_bfq_use_updates_xonsh_subprocess_environment(
tmp_path: Path,
) -> None:
'''
Disposable XDG selection must reach commands launched by xonsh.
Updating only ``os.environ`` does not mutate xonsh's environment
mapping, so manual chart commands previously retained normal user
storage. Source the real snippet in xonsh, initialize a run root,
and assert a subprocess sees the disposable XDG path.
'''
repo: Path = Path(__file__).parents[1]
snippet: Path = repo / 'snippets' / 'nativedb_backfill_audit.xsh'
run_root: Path = tmp_path / 'run'
code: str = (
f'source {snippet}; '
f'bfq_init(p\'{run_root}\', validate_piker=False); '
'env'
)
result = subprocess.run(
['xonsh', '-c', code],
check=False,
capture_output=True,
cwd=repo,
text=True,
)
assert result.returncode == 0, result.stderr
expected: str = f'XDG_CONFIG_HOME={run_root / "xdg"}'
assert result.stdout.count(expected) == 2
def test_init_validates_console_script_against_worktree(
tmp_path: Path,
) -> None:
'''
An installed console script must import the reviewed worktree.
A shared virtualenv's ``piker`` entry point can resolve its
editable root checkout, where a new audit command is absent, even
while the operator is in this linked worktree. Run initialization
and prove its PYTHONPATH-bound preflight sees the local command
before it records the executable and repository identity.
'''
helpers: dict = load_helpers()
run_root: Path = tmp_path / 'run'
helpers['bfq_init'](run_root)
marker: dict = json.loads(
(run_root / '.piker-backfill-qualification').read_text()
)
assert Path(marker['repo_root']) == Path(__file__).parents[1]
def test_phase_compare_detects_preservation_and_seam_changes(
tmp_path: Path,
) -> None:
'''
Lifecycle comparison must preserve data without hiding seams.
Restart and append may replace a matching provider seam while old
timestamps remain. Save two read-only snapshots where the second
appends a row and updates a close. Prove checks pass while the
the changed timestamp stays explicit operator evidence.
'''
helpers: dict = load_helpers()
run_root: Path = tmp_path / 'run'
init_case(helpers, run_root)
evidence: Path = run_root / 'evidence'
before_path: Path = evidence / 'fresh.parquet'
after_path: Path = evidence / 'restart.parquet'
mk_frame((60, 120), (1, 2)).write_parquet(before_path)
mk_frame((60, 120, 180), (1, 20, 3)).write_parquet(after_path)
for phase, path in (
('fresh', before_path),
('restart', after_path),
):
write_phase_evidence(run_root, phase, path)
comparison: dict = helpers['bfq_compare'](
run_root,
'fresh',
'restart',
require_newer=True,
)
assert comparison['passed'] is True
assert comparison['missing_timestamp_count'] == 0
assert comparison['changed_common_row_count'] == 1
assert comparison['changed_common_timestamps'] == [120]
assert comparison['checks']['maximum_advanced'] is True
with pytest.raises(ValueError, match='phases must differ'):
helpers['bfq_compare'](run_root, 'fresh', 'fresh')
def test_repair_compare_allows_invalid_and_duplicate_removal(
tmp_path: Path,
) -> None:
'''
Repair may remove invalid rows but must preserve valid times.
Known-bad history may contain zero-epoch and duplicate rows. Both
should disappear during canonical rewrite. Compare
that baseline to clean extended history and prove preservation
ignores invalid epoch and duplicate multiplicity while recording
their before and after counts.
'''
helpers: dict = load_helpers()
run_root: Path = tmp_path / 'run'
init_case(helpers, run_root)
evidence: Path = run_root / 'evidence'
before_path: Path = evidence / 'baseline.parquet'
after_path: Path = evidence / 'repair.parquet'
mk_frame((0, 60, 60, 120)).write_parquet(before_path)
mk_frame((60, 120, 180)).write_parquet(after_path)
for phase, path in (
('baseline', before_path),
('repair', after_path),
):
write_phase_evidence(run_root, phase, path)
comparison: dict = helpers['bfq_compare'](
run_root,
'baseline',
'repair',
require_newer=True,
)
assert comparison['passed'] is True
assert comparison['missing_timestamp_count'] == 0
assert comparison['before_duplicate_excess'] == 1
assert comparison['after_duplicate_excess'] == 0
def test_malformed_baseline_produces_failed_comparison_evidence(
tmp_path: Path,
) -> None:
'''
Comparison must report unauditable baselines instead of crashing.
Raw audit accepts malformed Parquet so humans can save evidence
before repair. Write a baseline with textual timestamps and no
close column, compare it with canonical history, and prove the
helper writes limitations plus failed checks before raising its
qualification assertion.
'''
helpers: dict = load_helpers()
run_root: Path = tmp_path / 'run'
init_case(helpers, run_root)
evidence: Path = run_root / 'evidence'
before_path: Path = evidence / 'broken.parquet'
after_path: Path = evidence / 'repair.parquet'
mk_frame((60, 120)).drop('close').with_columns(
pl.Series('time', ['60', '120'])
).write_parquet(before_path)
mk_frame((60, 120, 180)).write_parquet(after_path)
for phase, path in (
('broken', before_path),
('repair', after_path),
):
write_phase_evidence(run_root, phase, path)
with pytest.raises(AssertionError):
helpers['bfq_compare'](
run_root,
'broken',
'repair',
)
comparison: dict = json.loads(
(
evidence
/'compare-broken-to-repair.json'
).read_text()
)
assert comparison['passed'] is False
assert comparison['checks']['no_timestamps_lost'] is False
assert 'before_time_nonnumeric' in comparison['limitations']
assert (
'common_value_comparison_unavailable'
in comparison['limitations']
)
def test_compare_rejects_modified_or_cross_case_evidence(
tmp_path: Path,
) -> None:
'''
Lifecycle checks must not combine unrelated or altered artifacts.
JSON can remain plausible when a phase snapshot is replaced or a
report was generated for another market. Bind each report to its
checksum and fixed case metadata. Prove both changes abort before
abort before a comparison result can be accepted.
'''
helpers: dict = load_helpers()
run_root: Path = tmp_path / 'run'
init_case(helpers, run_root)
evidence: Path = run_root / 'evidence'
before: Path = evidence / 'before.parquet'
after: Path = evidence / 'after.parquet'
mk_frame((60, 120)).write_parquet(before)
mk_frame((60, 120, 180)).write_parquet(after)
write_phase_evidence(run_root, 'before', before)
write_phase_evidence(run_root, 'after', after)
after_report: Path = evidence / 'after.json'
report_bytes: bytes = after_report.read_bytes()
after_report.write_bytes(report_bytes + b'\n')
with pytest.raises(RuntimeError, match='report checksum'):
helpers['bfq_compare'](run_root, 'before', 'after')
after_report.write_bytes(report_bytes)
mk_frame((60, 180)).write_parquet(before)
with pytest.raises(RuntimeError, match='snapshot checksum'):
helpers['bfq_compare'](run_root, 'before', 'after')
other: Path = evidence / 'other.parquet'
mk_frame((60, 120)).write_parquet(other)
write_phase_evidence(
run_root,
'other',
other,
fqme='other.test',
)
with pytest.raises(RuntimeError, match='does not match'):
helpers['bfq_compare'](run_root, 'other', 'after')