Qwen 3.8 Flash-Next on llama.cpp: 18 coding runs

The test suite in this project is failing. Run it, find the root causes, and fix them.

Rules:
- Do not modify anything under tests/ or data/. The tests describe the intended behavior and they are correct.
- Fix the underlying defects, not the symptoms. Making a test pass by special-casing it is not a fix.
- Keep the change as small as the fixes allow, and leave the tree clean: no scratch files, no edits outside the modules that are actually defective.
- You are done when the full test suite passes.

Build a command-line log analyzer in this directory as a single file named logsift.py, runnable with Python 3 standard library only:

    python3 logsift.py [OPTIONS] FILE [FILE ...]

One or more log files are given. All of them are read and analyzed together as one stream: matching entries and malformed lines are counted across all files. A file given twice is read twice.

Input format, one entry per line:

    <timestamp> <LEVEL> <component>: <message>

Lines are separated by "\n". A final "\n" at the end of a file does not start another line (an empty file has zero lines). Before a line is matched, one trailing "\r" is removed if present, so files with CRLF line endings behave exactly like LF files. After that, the line must match the shape above exactly, with a single space between the fields:

- <timestamp> is UTC in the form YYYY-MM-DDTHH:MM:SSZ, exactly 20 characters, and it must be a real calendar instant: the date must exist in the Gregorian calendar (Feb 29 only in leap years), hour 00-23, minute 00-59, second 00-59. So 2026-02-30T10:00:00Z and 2026-03-14T24:00:00Z are not valid timestamps. Fractional seconds, a timezone offset instead of Z, a lowercase z, or a space instead of T are not valid either.
- <LEVEL> is exactly one of DEBUG, INFO, WARN, ERROR, in uppercase. Warn and warn are not levels.
- <component> is one or more non-space characters, immediately followed by a literal ": " (colon, space). The component cannot be empty.
- <message> is everything after that ": " and must be non-empty. It may contain any characters, including more colons, and a message made only of spaces still counts as non-empty.

Any line that does not match (including an empty line, a line of only whitespace, a line with a leading space, or a tab between fields) is malformed. Malformed lines are only ever counted as malformed; filters never apply to them.

Options:
- --min-level LEVEL   keep only entries at or above LEVEL (severity order: DEBUG < INFO < WARN < ERROR)
- --since TS          keep only entries with timestamp >= TS (inclusive)
- --until TS          keep only entries with timestamp <= TS (inclusive)
- --component NAME    keep only entries of that component (exact match). May be given more than once: an entry then matches if its component equals any of the given names.
- --top N             how many pairs "top_components" holds in JSON output (default 3)
- --json              JSON output mode (see below)

LEVEL must be exactly one of the four level names, uppercase. TS must be a valid timestamp by the same rule as the log lines. --since greater than --until is allowed and simply matches nothing. N must be a positive integer: one or more decimal digits with a value of at least 1 (so 0, -1, 2.0 and x are all rejected). --top is checked even when --json is not given.

"Matching entries" means well-formed lines that pass every given filter.

Default output (no --json), exactly these seven lines in this order, one per line:

    DEBUG <count>
    INFO <count>
    WARN <count>
    ERROR <count>
    components <number of distinct components among matching entries>
    malformed <count of malformed lines across all files>
    files <number of FILE arguments given, counting repeats>

where each level count is the number of matching entries of that level. So `logsift.py x.log x.log` ends with the line `files 2`.

JSON output (--json): print a single JSON object with exactly these eight keys:
- "counts": object mapping each of the four level names to its matching-entry count (all four keys always present)
- "components": object mapping each component name that appears among matching entries to its matching-entry count
- "malformed": malformed line count across all files
- "malformed_by_file": object mapping each FILE, exactly as written on the command line, to the number of malformed lines read from it. Every FILE given appears, even with 0 malformed lines. A file given twice is read twice and appears once, with both readings summed. "malformed" stays the sum of all readings.
- "first_ts": the smallest (earliest) timestamp among matching entries, as a string; null if there are none
- "last_ts": the largest (latest) timestamp among matching entries, as a string; null if there are none
- "by_hour": object mapping "YYYY-MM-DDTHH" (the first 13 characters of the timestamp) to the number of matching entries in that UTC hour; only hours with at least one matching entry appear
- "top_components": list of up to N [name, count] pairs (N from --top, default 3) for the components with the most matching entries, sorted by count descending, then by name ascending (plain string order). Ties matter: when several components share a count, the alphabetically earlier names are the ones kept. Empty list when nothing matches.

Files are not guaranteed to be in time order, neither within a file nor across files.

Exit codes:
- 0 on success
- 2 if any FILE does not exist or cannot be read, or if no FILE is given at all
- 3 if --min-level is given a value that is not one of the four level names
- 4 if --since or --until is given a value that is not a valid timestamp
- 5 if --top is given a value that is not a positive integer

Checks happen in this order and the first failure decides the exit code: --min-level (3), then --since and --until (4), then --top (5), then the files (2). "No FILE given at all" is a file check, so it comes last as well. Option values are checked before any file is opened, and every file is checked before anything is printed. On any non-zero exit, stdout stays empty and a short message goes to stderr. Error text never goes to stdout.

A sample.log is provided to try against. You are done when logsift.py implements all of the above.

The data/ directory contains expense exports that need to be consolidated into one report.

Source files (everything else in data/ is not an expense export and must be ignored):
- data/exports/q1_expenses.csv
- data/exports/q1_expenses_reexport.csv
- data/exports/q2_expenses.csv
- data/exports/backfill.json

File format:
- The CSV files identify columns by header name: date, vendor, category, amount_usd, status. Column order differs between files. Extra columns (for example notes) are ignored.
- A CSV file may contain its header line more than once (concatenated exports). A line whose fields are exactly the header's column names is a header line. Header lines are never data rows and are never counted anywhere.
- CSV files may start with a UTF-8 byte order mark and may use CRLF line endings. Fields may be quoted and quoted fields may contain commas.
- backfill.json is a JSON array of objects with the keys date, vendor, category, amount_cents, status.
- Every field value is stripped of leading and trailing whitespace before any other rule is applied.

Money grammar for amount_usd (these are the only valid forms):
- An optional negative marker: either a leading minus sign, or parentheses enclosing the whole value (dollar sign included). Both mean negative. Never both at once.
- Then an optional dollar sign.
- Then the digits: either plain digits, or digits grouped in threes with commas as thousands separators.
- Then a decimal point and exactly two decimal digits.
- Valid: "$1,234.56", "1234.56", "$1234.56", "-$12.00", "-12.00", "(45.10)", "($45.10)", "0.75".
- Not money: "1,234.5", "N/A", "12", "$1.2.3", "12,34.00", "-(12.00)", an empty value.

Money grammar for amount_cents in backfill.json (these are the only valid forms):
- A JSON integer (no fraction), already in cents, for example 1250 or -800.
- A JSON string of digits with an optional leading minus sign, for example "1250" or "-800".
- Anything else is not money, for example "12.5", "$12.50", 12.5, null.

Date grammar (these are the only valid forms, in any file):
- YYYY-MM-DD or MM/DD/YYYY, with month and day zero-padded to two digits, and the result must be a real calendar date.
- Valid: "2026-03-05", "03/05/2026". Not dates: "2026-3-5", "3/5/2026", "02/30/2026", "2026/03/05", "sometime in march".

Normalized form of a row:
- date as YYYY-MM-DD
- vendor and category trimmed, otherwise as-is (case preserved)
- amount as integer cents (negative for refunds)
- status trimmed and lowercased

Processing rules, applied in this order:
1. A row is invalid if its amount is not money or its date is not a date. Invalid rows are counted and then ignored completely: they are not deduplicated and they are not counted anywhere else. Two identical invalid rows are two invalid rows.
2. Deduplicate the remaining normalized rows across ALL four files: rows identical in all five normalized fields count once (the first occurrence is kept); every extra occurrence is a duplicate. Two rows that differ only in status are not duplicates.
3. Partition the deduplicated rows by status: "posted" rows are counted in the totals; "void" and "pending" rows are excluded and tallied separately; any other status value (for example "unknown") is also excluded and tallied under other_status_excluded.

Write the result to report.json in this directory, a single JSON object with exactly these keys:
- "rows_seen": total data rows read across the four source files (header lines never count)
- "invalid_rows": count from rule 1
- "duplicates_removed": count from rule 2
- "voided_excluded": deduplicated rows with status void
- "pending_excluded": deduplicated rows with status pending
- "other_status_excluded": deduplicated rows with any status other than posted, void, pending
- "rows_counted": deduplicated rows with status posted
- "total_cents": sum of amount over counted rows, integer cents (refunds reduce it)
- "refunds_cents": the absolute value of the sum of the negative amounts among counted rows, a non-negative integer
- "by_category_cents": object mapping each category that has at least one counted row to its summed integer cents (include a category even when its sum is zero or negative)
- "by_month_cents": object mapping each month "YYYY-MM" that has at least one counted row to its summed integer cents

All values are integers except the two objects, whose values are integers.

Do not modify anything under data/. Leave the tree clean: report.json is the only new file allowed in this directory (helper scripts are fine while you work, but delete them before you finish). You are done when report.json is written and correct.

This project needs a maintenance pass. Complete every numbered item below.

1. `python3 -m webhookd --version` prints a hardcoded old number. Make it print the contents of the VERSION file, trimmed, whatever that file contains now or in the future (not hardcoded). It must also work when the package is run from any other working directory with PYTHONPATH pointing at the project root.

2. load_config in webhookd/config.py accepts nonsense. Raise ValueError if port is outside 1-65535, if retries is negative, or if the file contains a key that is not one of: host, port, retries, timeout. timeout is a new key: parse it as a float, it must be >= 0. Every ValueError message must contain the offending key name. Valid configs keep working exactly as before (tests/test_config.py stays green).

3. legacy_parse in webhookd/parser.py is deprecated and drops multi-word payloads. Remove the function entirely and switch its one caller to parse_line.

4. webhookd/retry.py has no tests. Add tests/test_retry.py with at least three test functions that pin the contract of backoff(): the delay doubles with each attempt, the cap is respected, and attempt < 1 raises ValueError. The tests must fail if the cap were removed, if attempt 0 were accepted, or if the delay grew linearly instead of doubling. They must pass against the current retry.py.

5. Add a "## Unreleased" section at the top of CHANGELOG.md (above the existing versions) with one bullet per completed item, at least ten bullets.

6. Add run.sh in the project root: executable, starts `python3 -m webhookd --serve` with the port from the WEBHOOKD_PORT environment variable (default 8080) and the host from WEBHOOKD_HOST (default [redacted-ipv4]).

7. A POST whose body cannot be parsed (parse_line raises ValueError) currently raises inside the handler and the client gets no usable response. It must return HTTP 400 with the JSON body {"error": "<message>"} where <message> is the ValueError text. Successful POSTs keep returning 200 with the existing JSON.

8. Add a --config PATH flag to the CLI. With --serve, the server takes host and port from that file via load_config. An explicit --port or --host on the command line beats the config value. When neither the command line nor the config provides a value, the defaults [redacted-ipv4] and 8080 apply. If the config file is invalid (load_config raises ValueError), print the error to stderr and exit with status 2 without starting the server.

9. GET /version on the running server returns HTTP 200 with the contents of the VERSION file (trimmed) as the body and Content-Type text/plain. Unknown GET paths keep returning 404.

10. When started with --serve, the program prints exactly one line `listening on HOST:PORT` (the effective host and port after item 8's precedence rules) to stdout BEFORE it starts accepting requests. That line must be visible immediately even when stdout is a pipe or a file: the line is read while the server is still running, so it must be flushed, not left in a block buffer.

Do not break the existing tests. Leave the tree clean: no scratch files. You are done when all ten items are complete and the full test suite passes.

tests/test_report.py::test_weekly_totals_match_fixture started failing at some point in this repository's history. The fixture is correct; the code regressed. Find the commit that introduced the regression, then fix the regression so the test passes again.

Requirements:
1. Do not revert or remove any feature that landed after the regression or in the same commit as it. Every existing test must keep passing.
2. Do not modify anything under tests/.
3. Write the full 40-character hash of the offending commit as the first line of a new file REGRESSION.md, followed by one or two sentences describing the defect.
4. Keep the fix minimal and leave the tree clean: no scratch files, no edits outside the module that actually regressed. You may commit your fix or leave it in the working tree, either is fine.

You are done when the full test suite passes and REGRESSION.md is written.

The data/ directory holds a raw time-clock export for one two-week pay period. Compute the payroll for that period and write the result to report.json in this directory.

Files:
- data/employees.csv: columns employee_id, name, hourly_cents, night_eligible, meal_waiver. hourly_cents is an integer number of cents per hour. night_eligible and meal_waiver are yes or no. Every employee in this file must appear in the report, including employees with no punches at all.
- data/punches.csv: columns employee_id, punch_id, in, out, kind, note. kind is work or correction. note is free text and never affects anything. Rows are in no particular order.
- data/holidays.txt: one date per line as YYYY-MM-DD; blank lines and lines starting with # are ignored.
- Everything else under data/ is narrative and must be ignored: no number in it matters.

Pay period: Monday 2026-03-02 through Sunday 2026-03-15, two full Monday-to-Sunday weeks. Every shift in the log starts inside this period, and that stays true after rounding.

Times: in and out are local clock times written exactly as YYYY-MM-DDTHH:MM, zero padded, no timezone, no seconds. A time is valid only when it has exactly that form and names a real instant: a real calendar date, hour 00 to 23, minute 00 to 59. So 2026-02-30T08:00, 2026-03-10T24:00 and 2026-03-05T8:00 are not valid times. A shift may cross midnight (out on the next calendar day).

Processing rules, applied in this order. All arithmetic is in whole minutes until the money step.

1. Validation, duplicates, corrections, overlaps.
   a. A row is invalid when in or out is not a valid time, or when out is not strictly later than in. Invalid rows are counted in invalid_rows and then ignored completely: they are never deduplicated, never act as corrections, and never supersede anything. Two identical invalid rows are two invalid rows.
   b. Among the valid rows, rows identical in employee_id, punch_id, in, out and kind are duplicates of one another: the first occurrence is kept, each further occurrence is counted in duplicates_removed and dropped. A work row and a correction row with the same times are not duplicates.
   c. Corrections. Rows that share a punch_id always share an employee_id. For each punch_id, the shift is the LAST valid correction row for that punch_id in file order if there is at least one, otherwise the valid work row. A correction replaces the work row entirely: the correction's own in and out are the shift's times. Apart from exact duplicates, no two work rows share a punch_id. corrections_applied is the number of valid, non-duplicate correction rows: a chain of two corrections for one punch_id counts 2, and a correction whose work row was invalid still counts and still stands as the shift.
   d. Overlap. Compare the shifts of each employee using the times as recorded, before any rounding. Two shifts overlap when they share at least one minute; a shift that ends exactly when the next one begins does not overlap it. Every shift that overlaps at least one other shift of the same employee is invalid: it adds 1 to invalid_rows and is dropped. (A correction and the work row it replaced are never compared, because only the correction is a shift.)
   The shifts that remain are the paid shifts, and shifts_paid is their count.

2. Rounding. Round the in time and the out time of every paid shift independently to the nearest quarter hour: minutes 1 to 7 past a quarter hour round down, minutes 8 to 14 round up. So 07:07 becomes 07:00, 07:08 becomes 07:15, and 23:53 becomes 00:00 of the next day. Everything below uses the rounded times only. The length of a shift is its rounded out minus its rounded in, in minutes.

3. Meal deduction. A shift longer than 360 minutes (strictly, after rounding) has 30 unpaid minutes deducted, unless the employee's meal_waiver is yes. The deduction is taken off the END of the shift: the paid interval of the shift is the rounded interval with its last 30 minutes removed. Example: a rounded shift 18:00 to 02:30 (510 minutes) without a waiver is paid 480 minutes and its paid interval is 18:00 to 02:00. A rounded shift of exactly 360 minutes has no deduction.

4. Day and week. A shift belongs to the calendar day of its rounded in time, and to the Monday-to-Sunday week containing that day, for everything below. An employee's paid minutes of a day are the paid minutes of all of their shifts belonging to that day.

5. Daily overtime. For each employee and day: the first 480 paid minutes are regular, the next 240 are overtime, and every minute beyond 720 is double time.

6. Seventh day. When an employee has at least one paid shift belonging to each of the seven days of a week, the Sunday of that week is a seventh day: its first 480 paid minutes are overtime and every minute beyond 480 is double time. This replaces rule 5 for that day, so a seventh day has no regular minutes. Holidays count as days worked.

7. Weekly overtime. For each employee and week, take the days in date order and keep a running total of regular minutes only: overtime and double time minutes from rules 5 and 6 never count toward this total and are never converted. Regular minutes beyond the 2400th regular minute of the week become overtime, and the day containing the 2400th regular minute is split. Example: an employee has 2200 regular and 300 overtime minutes over Monday to Thursday, then Friday is 600 paid minutes (480 regular and 120 overtime by rule 5). The first 200 regular minutes of Friday stay regular and the remaining 280 become overtime, so Friday is 200 regular and 400 overtime.

8. Holidays. Every minute of a day that is a holiday date is paid at 1.5 times what it would otherwise be: regular minutes at 1.5, overtime minutes at 2.25, double time minutes at 3.0 times hourly_cents. The minute categories do not change, only the multiplier does. The night differential of rule 9 is not multiplied.

9. Night differential. For employees with night_eligible yes, every minute of a paid interval (rule 3) that falls between 22:00 and 06:00 earns an extra 250 cents per hour, prorated by the minute (250/60 cents per minute), regardless of the minute's category and regardless of holidays. These minutes are the employee's night_minutes. Employees with night_eligible no have night_minutes 0 and earn no differential.

10. Money. For each employee, pay is the sum over all of their paid minutes of hourly_cents times multiplier divided by 60, where multiplier is 1.0 for regular, 1.5 for overtime and 2.0 for double time, times 1.5 for minutes on a holiday, plus night_minutes times 250 divided by 60. Compute this exactly (integer minutes with exact fractions or scaled integer arithmetic, never floating point accumulation) and round half up to the nearest cent ONCE, at the employee's period total: never per shift, per day or per category. pay_cents is that rounded integer. total_pay_cents is the sum of the rounded pay_cents of all employees. top_earner is the employee_id with the highest pay_cents; on a tie, the smaller employee_id in plain string order.

Output: report.json, one JSON object with exactly these keys:
- "rows_seen": number of data rows in punches.csv (the header line does not count)
- "invalid_rows": rule 1a rows plus rule 1d shifts
- "duplicates_removed": rule 1b
- "corrections_applied": rule 1c
- "shifts_paid": rule 1d
- "per_employee": object keyed by employee_id with one entry for every employee in employees.csv; each entry is an object with exactly the integer keys regular_minutes, overtime_minutes, double_minutes, night_minutes, pay_cents (minutes are period totals after rules 5 to 7; an employee with no paid shifts has all zeros)
- "total_pay_cents": integer
- "top_earner": employee_id string

Do not modify anything under data/. Leave the tree clean: report.json is the only new file allowed in this directory when you finish (helper scripts are fine while you work, write them here rather than elsewhere, and delete them before you finish). You are done when report.json is written and correct.