Codex Task Logs

Task ID: task_e_682fd458c4a883238ed262add0d82458

Environment setup
Configuring language runtimes... + rm -- /tmp/UXmEVD-setup_script.sh + source ./codex_setup.sh ++ uv sync --frozen Using CPython 3.12.3 interpreter at: /usr/bin/python3.12 Creating virtual environment at: .venv Building scubaduck @ file:///workspace/scubaduck Downloading playwright (43.1MiB) Downloading ruff (11.0MiB) Downloading duckdb (19.3MiB) Downloading pyright (5.3MiB) Downloading ruff Built scubaduck @ file:///workspace/scubaduck Downloading duckdb Downloading playwright Downloading pyright Prepared 33 packages in 2.48s Installed 33 packages in 108ms + blinker==1.9.0 + certifi==2025.4.26 + charset-normalizer==3.4.2 + click==8.2.0 + duckdb==1.2.2 + execnet==2.1.1 + flask==3.1.1 + greenlet==3.2.2 + idna==3.10 + iniconfig==2.1.0 + itsdangerous==2.2.0 + jinja2==3.1.6 + markupsafe==3.0.2 + nodeenv==1.9.1 + packaging==25.0 + playwright==1.52.0 + pluggy==1.6.0 + pyee==13.0.0 + pyright==1.1.400 + pytest==8.3.5 + pytest-base-url==2.1.0 + pytest-playwright==0.7.0 + pytest-xdist==3.6.1 + python-dateutil==2.9.0.post0 + python-slugify==8.0.4 + requests==2.32.3 + ruff==0.11.10 + scubaduck==0.1.0 (from file:///workspace/scubaduck) + six==1.17.0 + text-unidecode==1.3 + typing-extensions==4.13.2 + urllib3==2.4.0 + werkzeug==3.1.3 ++ source .venv/bin/activate +++ '[' -z '' ']' +++ '[' -n x ']' +++ SCRIPT_PATH=.venv/bin/activate +++ '[' .venv/bin/activate = /tmp/UXmEVD-setup_script.sh ']' +++ deactivate nondestructive +++ unset -f pydoc +++ '[' -z '' ']' +++ '[' -z '' ']' +++ hash -r +++ '[' -z '' ']' +++ unset VIRTUAL_ENV +++ unset VIRTUAL_ENV_PROMPT +++ '[' '!' nondestructive = nondestructive ']' +++ VIRTUAL_ENV=/workspace/scubaduck/.venv +++ '[' linux-gnu = cygwin ']' +++ '[' linux-gnu = msys ']' +++ export VIRTUAL_ENV +++ '[' -z '' ']' +++ unset SCRIPT_PATH +++ _OLD_VIRTUAL_PATH=/root/.cargo/bin:/root/.rbenv/shims:/root/.rbenv/bin:/root/.rbenv/shims:/root/.local/share/swiftly/bin:/root/.bun/bin:/root/.nvm/versions/node/v22.16.0/bin:/root/.pyenv/shims:3441PYENV_ROOT/shims:/root/.pyenv/bin:/usr/local/go/bin:/root/go/bin:/root/.rbenv/bin:/root/.rbenv/shims:/root/.bun/bin:/root/.local/bin:/root/.pyenv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin +++ PATH=/workspace/scubaduck/.venv/bin:/root/.cargo/bin:/root/.rbenv/shims:/root/.rbenv/bin:/root/.rbenv/shims:/root/.local/share/swiftly/bin:/root/.bun/bin:/root/.nvm/versions/node/v22.16.0/bin:/root/.pyenv/shims:3441PYENV_ROOT/shims:/root/.pyenv/bin:/usr/local/go/bin:/root/go/bin:/root/.rbenv/bin:/root/.rbenv/shims:/root/.bun/bin:/root/.local/bin:/root/.pyenv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin +++ export PATH +++ '[' xscubaduck '!=' x ']' +++ VIRTUAL_ENV_PROMPT=scubaduck +++ export VIRTUAL_ENV_PROMPT +++ '[' -z '' ']' +++ '[' -z '' ']' +++ _OLD_VIRTUAL_PS1= +++ PS1='(scubaduck) ' +++ export PS1 +++ alias pydoc +++ true +++ hash -r ++ python -c 'import os; import duckdb; con = duckdb.connect(); con.execute(f"SET http_proxy = '\''{os.getenv("HTTP_PROXY")}'\''"); con.execute("INSTALL '\''sqlite'\'';")' ++ playwright install chromium Downloading Chromium 136.0.7103.25 (playwright build v1169) from https://cdn.playwright.dev/dbazure/download/playwright/builds/chromium/1169/chromium-linux.zip 167.7 MiB [] 0% 0.0s167.7 MiB [] 0% 25.1s167.7 MiB [] 0% 17.1s167.7 MiB [] 0% 11.3s167.7 MiB [] 0% 7.6s167.7 MiB [] 1% 6.1s167.7 MiB [] 1% 5.0s167.7 MiB [] 2% 4.1s167.7 MiB [] 3% 3.1s167.7 MiB [] 4% 2.8s167.7 MiB [] 5% 2.7s167.7 MiB [] 6% 2.5s167.7 MiB [] 7% 2.3s167.7 MiB [] 9% 2.0s167.7 MiB [] 10% 2.0s167.7 MiB [] 11% 2.0s167.7 MiB [] 12% 1.8s167.7 MiB [] 13% 1.8s167.7 MiB [] 14% 1.7s167.7 MiB [] 15% 1.7s167.7 MiB [] 16% 1.7s167.7 MiB [] 17% 1.7s167.7 MiB [] 18% 1.7s167.7 MiB [] 19% 1.7s167.7 MiB [] 20% 1.7s167.7 MiB [] 21% 1.7s167.7 MiB [] 22% 1.7s167.7 MiB [] 23% 1.7s167.7 MiB [] 24% 1.6s167.7 MiB [] 25% 1.5s167.7 MiB [] 27% 1.5s167.7 MiB [] 28% 1.5s167.7 MiB [] 29% 1.4s167.7 MiB [] 30% 1.4s167.7 MiB [] 32% 1.3s167.7 MiB [] 33% 1.3s167.7 MiB [] 35% 1.2s167.7 MiB [] 36% 1.2s167.7 MiB [] 37% 1.2s167.7 MiB [] 38% 1.1s167.7 MiB [] 39% 1.1s167.7 MiB [] 41% 1.1s167.7 MiB [] 42% 1.0s167.7 MiB [] 44% 1.0s167.7 MiB [] 45% 1.0s167.7 MiB [] 46% 0.9s167.7 MiB [] 47% 0.9s167.7 MiB [] 49% 0.9s167.7 MiB [] 50% 0.9s167.7 MiB [] 51% 0.8s167.7 MiB [] 53% 0.8s167.7 MiB [] 55% 0.7s167.7 MiB [] 56% 0.7s167.7 MiB [] 58% 0.7s167.7 MiB [] 59% 0.7s167.7 MiB [] 60% 0.6s167.7 MiB [] 62% 0.6s167.7 MiB [] 63% 0.6s167.7 MiB [] 64% 0.6s167.7 MiB [] 65% 0.5s167.7 MiB [] 67% 0.5s167.7 MiB [] 68% 0.5s167.7 MiB [] 69% 0.5s167.7 MiB [] 70% 0.5s167.7 MiB [] 71% 0.5s167.7 MiB [] 72% 0.4s167.7 MiB [] 74% 0.4s167.7 MiB [] 75% 0.4s167.7 MiB [] 76% 0.4s167.7 MiB [] 77% 0.4s167.7 MiB [] 78% 0.3s167.7 MiB [] 80% 0.3s167.7 MiB [] 81% 0.3s167.7 MiB [] 82% 0.3s167.7 MiB [] 83% 0.3s167.7 MiB [] 84% 0.2s167.7 MiB [] 85% 0.2s167.7 MiB [] 86% 0.2s167.7 MiB [] 87% 0.2s167.7 MiB [] 89% 0.2s167.7 MiB [] 90% 0.1s167.7 MiB [] 91% 0.1s167.7 MiB [] 92% 0.1s167.7 MiB [] 93% 0.1s167.7 MiB [] 95% 0.1s167.7 MiB [] 97% 0.0s167.7 MiB [] 98% 0.0s167.7 MiB [] 99% 0.0s167.7 MiB [] 100% 0.0s Chromium 136.0.7103.25 (playwright build v1169) downloaded to /root/.cache/ms-playwright/chromium-1169 Downloading FFMPEG playwright build v1011 from https://cdn.playwright.dev/dbazure/download/playwright/builds/ffmpeg/1011/ffmpeg-linux.zip 2.3 MiB [] 0% 0.0s2.3 MiB [] 4% 0.3s2.3 MiB [] 7% 0.4s2.3 MiB [] 16% 0.2s2.3 MiB [] 32% 0.1s2.3 MiB [] 60% 0.1s2.3 MiB [] 100% 0.0s FFMPEG playwright build v1011 downloaded to /root/.cache/ms-playwright/ffmpeg-1011 Downloading Chromium Headless Shell 136.0.7103.25 (playwright build v1169) from https://cdn.playwright.dev/dbazure/download/playwright/builds/chromium/1169/chromium-headless-shell-linux.zip 101.4 MiB [] 0% 0.0s101.4 MiB [] 0% 15.6s101.4 MiB [] 0% 19.6s101.4 MiB [] 0% 15.9s101.4 MiB [] 0% 11.1s101.4 MiB [] 1% 7.6s101.4 MiB [] 1% 4.8s101.4 MiB [] 3% 3.6s101.4 MiB [] 5% 2.4s101.4 MiB [] 7% 1.9s101.4 MiB [] 9% 1.7s101.4 MiB [] 10% 1.7s101.4 MiB [] 11% 1.6s101.4 MiB [] 13% 1.5s101.4 MiB [] 15% 1.3s101.4 MiB [] 15% 1.4s101.4 MiB [] 17% 1.3s101.4 MiB [] 19% 1.2s101.4 MiB [] 20% 1.2s101.4 MiB [] 22% 1.2s101.4 MiB [] 23% 1.1s101.4 MiB [] 23% 1.2s101.4 MiB [] 25% 1.2s101.4 MiB [] 27% 1.1s101.4 MiB [] 29% 1.1s101.4 MiB [] 30% 1.0s101.4 MiB [] 32% 1.0s101.4 MiB [] 34% 0.9s101.4 MiB [] 36% 0.9s101.4 MiB [] 37% 0.9s101.4 MiB [] 41% 0.8s101.4 MiB [] 44% 0.7s101.4 MiB [] 45% 0.7s101.4 MiB [] 48% 0.6s101.4 MiB [] 51% 0.6s101.4 MiB [] 53% 0.5s101.4 MiB [] 56% 0.5s101.4 MiB [] 59% 0.4s101.4 MiB [] 62% 0.4s101.4 MiB [] 64% 0.4s101.4 MiB [] 67% 0.3s101.4 MiB [] 68% 0.3s101.4 MiB [] 69% 0.3s101.4 MiB [] 70% 0.3s101.4 MiB [] 72% 0.3s101.4 MiB [] 75% 0.3s101.4 MiB [] 78% 0.2s101.4 MiB [] 80% 0.2s101.4 MiB [] 83% 0.2s101.4 MiB [] 86% 0.1s101.4 MiB [] 89% 0.1s101.4 MiB [] 90% 0.1s101.4 MiB [] 93% 0.1s101.4 MiB [] 96% 0.0s101.4 MiB [] 99% 0.0s101.4 MiB [] 100% 0.0s Chromium Headless Shell 136.0.7103.25 (playwright build v1169) downloaded to /root/.cache/ms-playwright/chromium_headless_shell-1169 ++ echo 'source .venv/bin/activate'
Internet turned off
In Start/End fields, Unknown string format: -1000 month (same with year). Support these relative suffixes. Add a test.

I'll check the root for AGENTS instructions to guide how to approach this task.

shell
bash: .venv/bin/activate: No such file or directory ls root@376d6ff56bfb:/workspace# ls scubaduck
root@376d6ff56bfb:/workspace# cd scubaduck root@376d6ff56bfb:/workspace/scubaduck# ls AGENTS.md codex_setup.sh scubaduck tests README.md pyproject.toml stubs uv.lock
root@376d6ff56bfb:/workspace/scubaduck# cat AGENTS.md - Use "source .venv/bin/activate" to activate the virtual environment before running any commands - ONLY use non-interactive commands like cat, sed, apply_patch to do edits. Do NOT use interactive editors. - Do NOT attempt to install packages. Only the packages specified in pyproject.toml are available. You cannot add new packages. If you desperately want another package, make a note of it in the final PR description. - Use conventional commits to format PR title - There are no nested AGENTS.md files, this is the only agents file - When using Playwright, ONLY use chromium browser. This browser is already installed. - Use "ruff check" to check lint, "ruff format" to autoformat files and "pyright" to typecheck. - When writing the PR description, include the original prompt supplied by the user. - When you add functionality to the server, add server tests to tests/test_server.py. When you add features to the frontend, add frontend tests to tests/test_web.py

I'll inspect the scubaduck folder for date/time parsing code. Let's see what's there.

shell
root@376d6ff56bfb:/workspace/scubaduck# ls AGENTS.md codex_setup.sh scubaduck tests README.md pyproject.toml stubs uv.lock

I’ll open up the scubaduck folder to see what’s inside.

shell
root@376d6ff56bfb:/workspace/scubaduck# ls scubaduck __init__.py sample.csv server.py static

I’m checking the scubaduck/server.py file for context.

shell
root@376d6ff56bfb:/workspace/scubaduck# sed -n '1,160p' scubaduck/server.py from __future__ import annotations from dataclasses import dataclass, field, replace from typing import Any, Dict, List, Tuple, cast import re from datetime import datetime, timedelta, timezone import time from pathlib import Path import os import traceback import math import duckdb from dateutil import parser as dtparser from flask import Flask, jsonify, request, send_from_directory def _quote(ident: str) -> str: """Return identifier quoted for SQL.""" return f'"{ident.replace('"', '""')}"' @dataclass class Filter: column: str op: str value: str | int | float | list[str] | None @dataclass class QueryParams: start: str | None = None end: str | None = None order_by: str | None = None order_dir: str = "ASC" limit: int | None = None columns: list[str] = field(default_factory=lambda: []) filters: list[Filter] = field(default_factory=lambda: []) derived_columns: dict[str, str] = field(default_factory=lambda: {}) graph_type: str = "samples" group_by: list[str] = field(default_factory=lambda: []) aggregate: str | None = None show_hits: bool = False x_axis: str | None = None granularity: str = "Auto" fill: str = "0" table: str = "events" time_column: str | None = "timestamp" time_unit: str = "s" def _load_database(path: Path) -> duckdb.DuckDBPyConnection: if not path.exists(): raise FileNotFoundError(path) ext = path.suffix.lower() if ext == ".csv": con = duckdb.connect() con.execute( f"CREATE TABLE events AS SELECT * FROM read_csv_auto('{path.as_posix ()}')" ) elif ext in {".db", ".sqlite"}: con = duckdb.connect() con.execute("LOAD sqlite") con.execute(f"ATTACH '{path.as_posix()}' AS db (TYPE SQLITE)") tables = [ r[0] for r in con.execute( "SELECT name FROM sqlite_master WHERE type='table'" ).fetchall() ] for t in tables: con.execute(f'CREATE VIEW "{t}" AS SELECT * FROM db."{t}"') else: con = duckdb.connect(path) return con def _create_test_database() -> duckdb.DuckDBPyConnection: """Return a DuckDB connection with a small multi-table dataset.""" con = duckdb.connect() con.execute( "CREATE TABLE events (id INTEGER PRIMARY KEY, ts INTEGER, val REAL, name TEXT, flag BOOLEAN)" ) con.execute("INSERT INTO events VALUES (1, 1704067200, 1.5, 'alice', 1)") con.execute("INSERT INTO events VALUES (2, 1704070800, 2.0, 'bob', 0)") con.execute('CREATE TABLE extra (ts INTEGER, "desc" TEXT, num INTEGER)') con.execute("INSERT INTO extra VALUES (1704067200, 'x', 1)") con.execute("INSERT INTO extra VALUES (1704070800, 'y', 2)") return con _REL_RE = re.compile( r"([+-]?\d+(?:\.\d*)?)\s*(hour|hours|day|days|week|weeks|fortnight|fortnight s)", re.IGNORECASE, ) def parse_time(val: str | None) -> str | None: """Parse an absolute or relative time string into ``YYYY-MM-DD HH:MM:SS``."" " if val is None or val == "": return None s = val.strip() if s.lower() == "now": dt = datetime.now(timezone.utc) return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S") m = _REL_RE.fullmatch(s) if m: qty = float(m.group(1)) unit = m.group(2).lower() delta: timedelta if unit.startswith("hour"): delta = timedelta(hours=qty) elif unit.startswith("day"): delta = timedelta(days=qty) elif unit.startswith("week"): delta = timedelta(weeks=qty) elif unit.startswith("fortnight"): delta = timedelta(weeks=2 * qty) else: # pragma: no cover - defensive raise ValueError(f"Unsupported unit: {unit}") dt = datetime.now(timezone.utc) + delta return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S") dt = dtparser.parse(s) return dt.replace(microsecond=0, tzinfo=None).strftime("%Y-%m-%d %H:%M:%S") def _granularity_seconds(granularity: str, start: str | None, end: str | None) - > int: gran = granularity.lower() mapping = { "1 second": 1, "5 seconds": 5, "10 seconds": 10, "30 seconds": 30, "1 minute": 60, "4 minutes": 240, "5 minutes": 300, "10 minutes": 600, "15 minutes": 900, "30 minutes": 1800, "1 hour": 3600, "3 hours": 10800, "6 hours": 21600, "1 day": 86400, "1 week": 604800, "30 days": 2592000, } if gran in mapping: return mapping[gran] if gran in {"auto", "fine"} and start and end: try: s = dtparser.parse(start) e = dtparser.parse(end) except Exception: return 3600 total = max((e - s).total_seconds(), 1)

I need to check lines from 160 onward in server.py to handle time parsing.

shell
root@376d6ff56bfb:/workspace/scubaduck# sed -n '160,320p' scubaduck/server.py total = max((e - s).total_seconds(), 1) buckets = 100 if gran == "auto" else 500 return max(int(total // buckets), 1) return 3600 def _time_expr(col: str, column_types: Dict[str, str] | None, unit: str) -> str: """Return SQL expression for column interpreted as timestamp.""" qcol = _quote(col) if column_types is None: return qcol ctype = column_types.get(col, "").upper() if not any(t in ctype for t in ["TIMESTAMP", "DATE", "TIME"]): if any( t in ctype for t in [ "INT", "DECIMAL", "REAL", "DOUBLE", "FLOAT", "NUMERIC", "HUGEINT", ] ): if unit == "ns": expr = f"CAST({qcol} AS BIGINT)" return f"make_timestamp_ns({expr})" multiplier = { "s": 1_000_000, "ms": 1_000, "us": 1, }.get(unit, 1_000_000) expr = ( f"CAST({qcol} * {multiplier} AS BIGINT)" if multiplier != 1 else f"CAST({qcol} AS BIGINT)" ) return f"make_timestamp({expr})" return qcol def build_query(params: QueryParams, column_types: Dict[str, str] | None = None) -> str: select_parts: list[str] = [] group_cols = params.group_by[:] selected_for_order = set(params.columns) | set(params.derived_columns.keys() ) if params.graph_type == "timeseries": sec = _granularity_seconds(params.granularity, params.start, params.end) x_axis = params.x_axis or params.time_column if x_axis is None: raise ValueError("x_axis required for timeseries") xexpr = _time_expr(x_axis, column_types, params.time_unit) if params.start: bucket_expr = ( f"TIMESTAMP '{params.start}' + INTERVAL '{sec} second' * " f"CAST(floor((epoch({xexpr}) - epoch(TIMESTAMP '{params.start}') )/{sec}) AS BIGINT)" ) else: bucket_expr = ( f"TIMESTAMP 'epoch' + INTERVAL '{sec} second' * " f"CAST(floor(epoch({xexpr})/{sec}) AS BIGINT)" ) select_parts.append(f"{bucket_expr} AS bucket") group_cols = ["bucket"] + group_cols selected_for_order.add("bucket") has_agg = bool(group_cols) or params.aggregate is not None if has_agg: select_cols = ( group_cols[1:] if params.graph_type == "timeseries" else group_cols ) select_parts.extend(_quote(c) for c in select_cols) agg = (params.aggregate or "count").lower() selected_for_order.update(group_cols) def agg_expr(col: str) -> str: expr = _quote(col) ctype = column_types.get(col, "").upper() if column_types else "" if "BOOL" in ctype: expr = f"CAST({_quote(col)} AS BIGINT)" if agg.startswith("p"): quant = float(agg[1:]) / 100 return f"quantile({expr}, {quant})" if agg == "count distinct": return f"count(DISTINCT {expr})" if agg == "avg" and column_types is not None: if "TIMESTAMP" in ctype or "DATE" in ctype or "TIME" in ctype: return ( "TIMESTAMP 'epoch' + INTERVAL '1 second' * " f"CAST(avg(epoch({_quote(col)})) AS BIGINT)" ) return f"{agg}({expr})" if agg == "count": select_parts.append("count(*) AS Count") selected_for_order.add("Count") else: for col in params.columns: if col in group_cols: continue select_parts.append(f"{agg_expr(col)} AS {_quote(col)}") selected_for_order.add(col) if params.show_hits: select_parts.insert(len(group_cols), "count(*) AS Hits") selected_for_order.add("Hits") else: select_parts.extend(_quote(c) for c in params.columns) selected_for_order.update(params.columns) order_by = params.order_by if params.order_by in selected_for_order else Non e if has_agg and params.derived_columns: inner_params = replace( params, derived_columns={}, order_by=None, limit=None, ) inner_sql = build_query(inner_params, column_types) outer_select = ["t.*"] + [ f"{expr} AS {name}" for name, expr in params.derived_columns.items() ] indented_inner = "\n".join(" " + line for line in inner_sql.splitline s()) lines = [ f"SELECT {', '.join(outer_select)}", "FROM (", indented_inner, ") t", ] if order_by: lines.append(f"ORDER BY {_quote(order_by)} {params.order_dir}") elif params.graph_type == "timeseries": lines.append("ORDER BY bucket") if params.limit is not None: lines.append(f"LIMIT {params.limit}") return "\n".join(lines) for name, expr in params.derived_columns.items(): select_parts.append(f"{expr} AS {name}") selected_for_order.add(name) select_clause = ", ".join(select_parts) if select_parts else "*" lines = [f"SELECT {select_clause}", f'FROM "{params.table}"'] where_parts: list[str] = [] if params.time_column: time_expr = _time_expr(params.time_column, column_types, params.time_uni t) else: time_expr = None if time_expr and params.start: where_parts.append(f"{time_expr} >= '{params.start}'") if time_expr and params.end: where_parts.append(f"{time_expr} <= '{params.end}'") for f in params.filters: op = f.op if op in {"empty", "!empty"}: val = "''" else: if f.value is None: continue if isinstance(f.value, list): if not f.value: continue
root@376d6ff56bfb:/workspace/scubaduck# sed -n '320,640p' scubaduck/server.py continue if op == "=": qcol = _quote(f.column) vals = " OR ".join(f"{qcol} = '{v}'" for v in f.value) where_parts.append(f"({vals})") continue val = f"'{f.value}'" if isinstance(f.value, str) else str(f.value) qcol = _quote(f.column) if op == "contains": where_parts.append(f"{qcol} ILIKE '%' || {val} || '%'") elif op == "!contains": where_parts.append(f"{qcol} NOT ILIKE '%' || {val} || '%'") elif op == "empty": where_parts.append(f"{qcol} = {val}") elif op == "!empty": where_parts.append(f"{qcol} != {val}") else: where_parts.append(f"{qcol} {op} {val}") if where_parts: lines.append("WHERE " + " AND ".join(where_parts)) if group_cols: lines.append("GROUP BY " + ", ".join(_quote(c) for c in group_cols)) if order_by: lines.append(f"ORDER BY {_quote(order_by)} {params.order_dir}") elif params.graph_type == "timeseries": lines.append("ORDER BY bucket") if params.limit is not None: lines.append(f"LIMIT {params.limit}") return "\n".join(lines) def create_app(db_file: str | Path | None = None) -> Flask: app = Flask(__name__, static_folder="static") if db_file is None: env_db = os.environ.get("SCUBADUCK_DB") if env_db: db_file = env_db if isinstance(db_file, str) and db_file.upper() == "TEST": con = _create_test_database() else: db_path = Path(db_file or Path(__file__).with_name("sample.csv")).resolv e() con = _load_database(db_path) tables = [r[0] for r in con.execute("SHOW TABLES").fetchall()] if not tables: raise ValueError("No tables found in database") default_table = tables[0] columns_cache: Dict[str, Dict[str, str]] = {} def get_columns(table: str) -> Dict[str, str]: if table not in columns_cache: rows = con.execute(f'PRAGMA table_info("{table}")').fetchall() if not rows: raise ValueError(f"Unknown table: {table}") columns_cache[table] = {r[1]: r[2] for r in rows} return columns_cache[table] sample_cache: Dict[Tuple[str, str, str], Tuple[List[str], float]] = {} CACHE_TTL = 60.0 CACHE_LIMIT = 200 @app.route("/") def index() -> Any: # pyright: ignore[reportUnusedFunction] assert app.static_folder is not None return send_from_directory(app.static_folder, "index.html") @app.route("/js/<path:filename>") def js(filename: str) -> Any: # pyright: ignore[reportUnusedFunction] assert app.static_folder is not None folder = Path(app.static_folder) / "js" return send_from_directory(folder, filename) @app.route("/api/tables") def tables_endpoint() -> Any: # pyright: ignore[reportUnusedFunction] return jsonify(tables) @app.route("/api/columns") def columns() -> Any: # pyright: ignore[reportUnusedFunction] table = request.args.get("table", default_table) rows = con.execute(f'PRAGMA table_info("{table}")').fetchall() return jsonify([{"name": r[1], "type": r[2]} for r in rows]) def _cache_get(key: Tuple[str, str, str]) -> List[str] | None: item = sample_cache.get(key) if item is None: return None vals, ts = item if time.time() - ts > CACHE_TTL: del sample_cache[key] return None sample_cache[key] = (vals, time.time()) return vals def _cache_set(key: Tuple[str, str, str], vals: List[str]) -> None: sample_cache[key] = (vals, time.time()) if len(sample_cache) > CACHE_LIMIT: oldest = min(sample_cache.items(), key=lambda kv: kv[1][1])[0] del sample_cache[oldest] @app.route("/api/samples") def sample_values() -> Any: # pyright: ignore[reportUnusedFunction] table = request.args.get("table", default_table) column = request.args.get("column") substr = request.args.get("q", "") column_types = get_columns(table) if not column or column not in column_types: return jsonify([]) ctype = column_types[column].upper() if "CHAR" not in ctype and "STRING" not in ctype and "VARCHAR" not in ct ype: return jsonify([]) key = (table, column, substr) cached = _cache_get(key) if cached is not None: return jsonify(cached) qcol = _quote(column) rows = con.execute( f"SELECT DISTINCT {qcol} FROM \"{table}\" WHERE CAST({qcol} AS VARCH AR) ILIKE '%' || ? || '%' LIMIT 20", [substr], ).fetchall() values = [r[0] for r in rows] ... return jsonify({"error": f"Unknown column: {col}"}), 400 if params.order_by and params.order_by not in valid_cols: return jsonify({"error": f"Unknown column: {params.order_by}"}), 400 if params.group_by or params.graph_type == "timeseries": agg = (params.aggregate or "count").lower() if agg.startswith("p") or agg == "sum": need_numeric = True allow_time = False elif agg == "avg" or agg in {"min", "max"}: need_numeric = False allow_time = True else: need_numeric = False allow_time = False if need_numeric or allow_time: for c in params.columns: if c in params.group_by or c == params.x_axis: continue if c not in column_types: continue ctype = column_types.get(c, "").upper() is_numeric = any( t in ctype for t in [ "INT", "DECIMAL", "REAL", "DOUBLE", "FLOAT", "NUMERIC", "HUGEINT", ] ) is_time = "TIMESTAMP" in ctype or "DATE" in ctype or "TIME" in ctype if need_numeric and not is_numeric: return ( jsonify( { "error": f"Aggregate {agg} cannot be applied to column {c}", } ), 400, ) if allow_time and not (is_numeric or is_time): return ( jsonify( { "error": f"Aggregate {agg} cannot be applied to column {c}", } ), 400, ) if (params.start is None or params.end is None) and ( params.x_axis or params.time_column ): axis = params.x_axis or params.time_column assert axis is not None row = cast( tuple[datetime | None, datetime | None], con.execute( f'SELECT min({_quote(axis)}), max({_quote(axis)}) FROM "{par ams.table}"' ).fetchall()[0], ) mn, mx = row divisor = { "s": 1, "ms": 1000, "us": 1_000_000, "ns": 1_000_000_000, }.get(params.time_unit, 1) if isinstance(mn, (int, float)): try: mn = datetime.fromtimestamp(int(mn) / divisor, tz=timezone.u tc) except Exception: return ( jsonify( { "error": ( f"Invalid time value {mn} for column {axis}" f" with time_unit {params.time_unit}" ) } ), 400, ) if isinstance(mx, (int, float)): try: mx = datetime.fromtimestamp(int(mx) / divisor, tz=timezone.u tc) except Exception: return ( jsonify( { "error": ( f"Invalid time value {mx} for column {axis}" f" with time_unit {params.time_unit}" ) } ), 400, ) if params.start is None and mn is not None: params.start = ( mn.strftime("%Y-%m-%d %H:%M:%S") if not isinstance(mn, str) else mn ) if params.end is None and mx is not None: params.end = ( mx.strftime("%Y-%m-%d %H:%M:%S") if not isinstance(mx, str) else mx ) bucket_size: int | None = None if params.graph_type == "timeseries": bucket_size = _granularity_seconds( params.granularity, params.start if isinstance(params.start, str) else None, params.end if isinstance(params.end, str) else None,

The current regex only supports hours, days, weeks, and fortnights. I'll extend it for months and years using relativedelta, which is already a dependency. Let's confirm it's available in the project.

shell
root@376d6ff56bfb:/workspace/scubaduck# cat pyproject.toml [project] name = "scubaduck" version = "0.1.0" description = "Scuba on DuckDB" readme = "README.md" requires-python = ">=3.12" license = {text = "MIT"} dependencies = [ "duckdb", "flask", "python-dateutil>=2.9.0.post0", ] [build-system] requires = ["hatchling"] build-backend = "hatchling.build" [tool.pytest.ini_options] addopts = "-n auto --tb=native" [tool.pyright] # Pyright configuration with strict settings include = ["scubaduck", "tests"] exclude = ["**/__pycache__", "dist"] stubPath = "stubs" venvPath = "." venv = ".venv" reportMissingImports = true reportMissingTypeStubs = true pythonVersion = "3.12" pythonPlatform = "All" typeCheckingMode = "strict" reportUnknownMemberType = true reportUnknownParameterType = true reportUnknownVariableType = true reportUnknownArgumentType = true reportPrivateImportUsage = true reportUntypedFunctionDecorator = true reportFunctionMemberAccess = true reportIncompatibleMethodOverride = true [tool.ruff] target-version = "py312" [tool.uv] dev-dependencies = [ "pytest>=8.3.5", "ruff>=0.11.2", "pytest-xdist>=3.6.1", "playwright>=1.52.0", "pyright>=1.1.350", "pytest-playwright>=0.7.0", ]

I'll enhance parse_time with relativedelta to handle months and years. Next, tests!

shell
root@376d6ff56bfb:/workspace/scubaduck# ls tests conftest.py test_server_time.py test_web_graph.py test_multi_table_web.py test_server_timeseries.py test_web_table.py test_server.py test_web.py test_web_timeseries.py test_server_basic.py test_web_basics.py web_utils.py test_server_db_types.py test_web_chips.py test_server_errors.py test_web_columns.py

I’ll look for parse_time or anything about Start/End field errors in the code.

shell
root@376d6ff56bfb:/workspace/scubaduck# grep -n "parse_time" -r tests

I'll check some tests to understand the style, especially for parse_time.

shell
root@376d6ff56bfb:/workspace/scubaduck# sed -n '1,160p' tests/test_server_time.p y from __future__ import annotations import json from pathlib import Path import pytest from scubaduck import server def test_integer_time_column(tmp_path: Path) -> None: csv_file = tmp_path / "events.csv" csv_file.write_text("created,event\n1704067200,login\n1704070800,logout\n") app = server.create_app(csv_file) client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-01 01:00:00", "order_by": "created", "columns": ["created", "event"], "time_column": "created", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 2 def test_integer_time_unit_ms(tmp_path: Path) -> None: csv_file = tmp_path / "events.csv" csv_file.write_text("created,event\n1704067200000,login\n1704070800000,logou t\n") app = server.create_app(csv_file) client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-01 01:00:00", "order_by": "created", "columns": ["created", "event"], "time_column": "created", "time_unit": "ms", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 2 def test_timeseries_default_xaxis_uses_time_column(tmp_path: Path) -> None: csv_file = tmp_path / "events.csv" csv_file.write_text("created,event\n1704067200000,login\n1704070800000,logou t\n") app = server.create_app(csv_file) client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-01 01:00:00", "graph_type": "timeseries", "granularity": "1 hour", "columns": ["event"], "aggregate": "Count", "time_column": "created", "time_unit": "ms", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 2 def test_integer_time_unit_us_default_start_end(tmp_path: Path) -> None: csv_file = tmp_path / "events.csv" csv_file.write_text( "created,event\n1704067200000000,login\n1704070800000000,logout\n" ) app = server.create_app(csv_file) client = app.test_client() payload = { "table": "events", "order_by": "created", "columns": ["created", "event"], "time_column": "created", "time_unit": "us", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert data["start"] == "2024-01-01 00:00:00" assert data["end"] == "2024-01-01 01:00:00" assert len(data["rows"]) == 2 def test_sqlite_integer_time_unit_us(tmp_path: Path) -> None: sqlite_file = tmp_path / "events.sqlite" import sqlite3 conn = sqlite3.connect(sqlite_file) conn.execute("CREATE TABLE visits (visit_time INTEGER, event TEXT)") big_ts = 13384551652000000 conn.execute("INSERT INTO visits VALUES (?, ?)", (big_ts, "foo")) conn.commit() conn.close() # pyright: ignore[reportUnknownMemberType, reportAttributeAcce ssIssue] app = server.create_app(sqlite_file) client = app.test_client() payload = { "table": "visits", "start": "2394-02-20 00:00:00", "end": "2394-02-21 00:00:00", "order_by": "visit_time", "columns": ["visit_time", "event"], "time_column": "visit_time", "time_unit": "us", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 1 def test_relative_time_query(monkeypatch: pytest.MonkeyPatch) -> None: app = server.app client = app.test_client() from datetime import datetime fixed_now = datetime(2024, 1, 2, 4, 0, 0) class FixedDateTime(datetime): @classmethod def now(cls, tz=None): # type: ignore[override] return fixed_now if tz is None else fixed_now.astimezone(tz) monkeypatch.setattr(server, "datetime", FixedDateTime) payload = { "table": "events", "start": "-1 hour", "end": "now", "order_by": "timestamp", "limit": 100, "columns": ["timestamp", "event", "value", "user"], "filters": [], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json()
root@376d6ff56bfb:/workspace/scubaduck# sed -n '160,320p' tests/test_server_time .py data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 1 assert data["rows"][0][3] == "charlie" def test_default_start_end_returned() -> None: app = server.app client = app.test_client() payload = { "table": "events", "order_by": "timestamp", "limit": 5, "columns": ["timestamp"], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert data["start"] == "2024-01-01 00:00:00" assert data["end"] == "2024-01-02 03:00:00" def test_time_column_none_no_time_filter() -> None: app = server.app client = app.test_client() payload = { "table": "events", "columns": ["timestamp", "event"], "time_column": "", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert "start" not in data and "end" not in data assert len(data["rows"]) == 4

I’ll check tests/test_server_timeseries.py and test_server_basic for time-related tests.

shell
root@376d6ff56bfb:/workspace/scubaduck# grep -n "-1" tests/test_server_timeserie s.py

^C

I'll give it another try and search once more.

shell
root@376d6ff56bfb:/workspace/scubaduck# grep -r "-1" tests | head -n 20 grep: .venv/bin/ruff: binary file matches .gitignore-.cache .gitignore:nosetests.xml .gitignore-coverage.xml -- AGENTS.md- user. AGENTS.md:- When you add functionality to the server, add server tests to AGENTS.md: tests/test_server.py. When you add features to the frontend, add fr ontend AGENTS.md: tests to tests/test_web.py -- .venv/lib/python3.12/site-packages/_pytest/capture.py-@hookimpl(wrapper=True) .venv/lib/python3.12/site-packages/_pytest/capture.py:def pytest_load_initial_co nftests(early_config: Config) -> Generator[None]: .venv/lib/python3.12/site-packages/_pytest/capture.py- ns = early_config.know n_args_namespace -- .venv/lib/python3.12/site-packages/_pytest/capture.py- # TextIOWrapper do esn't expose a mode, but at least some of our .venv/lib/python3.12/site-packages/_pytest/capture.py: # tests check it. .venv/lib/python3.12/site-packages/_pytest/capture.py- return self.buffer .mode.replace("b", "") -- .venv/lib/python3.12/site-packages/_pytest/assertion/rewrite.py- for pat in self.fnpats: .venv/lib/python3.12/site-packages/_pytest/assertion/rewrite.py: # if the pattern contains subdirectories ("tests/**.py" for example) we can't bail o ut based .venv/lib/python3.12/site-packages/_pytest/assertion/rewrite.py- # on the name alone because we need to match against the full path

I'll look for where parse_time is used in the code.

shell
root@376d6ff56bfb:/workspace/scubaduck# grep -n "parse_time" -r . ./.venv/lib/python3.12/site-packages/pyright/dist/dist/typeshed-fallback/stubs/b oltons/boltons/timeutils.pyi:8:def parse_timedelta(text: str) -> timedelta: ... ./.venv/lib/python3.12/site-packages/pyright/dist/dist/typeshed-fallback/stubs/b oltons/boltons/timeutils.pyi:10:parse_td = parse_timedelta

I'm checking if parse_time is only used within the server. Looking for relevant references.

shell
./.venv/lib/python3.12/site-packages/playwright/_impl/_clock.py:30: " clockInstall", parse_time(time) if time is not None else {} ./.venv/lib/python3.12/site-packages/playwright/_impl/_clock.py:45: await self._browser_context._channel.send("clockPauseAt", parse_time(time)) ./.venv/lib/python3.12/site-packages/playwright/_impl/_clock.py:62: await self._browser_context._channel.send("clockSetFixedTime", parse_time(time)) ./.venv/lib/python3.12/site-packages/playwright/_impl/_clock.py:69: " clockSetSystemTime", parse_time(time) ./.venv/lib/python3.12/site-packages/playwright/_impl/_clock.py:73:def parse_tim e( ./scubaduck/server.py:101:def parse_time(val: str | None) -> str | None: ./scubaduck/server.py:447: start = parse_time(payload.get("start")) ./scubaduck/server.py:448: end = parse_time(payload.get("end")) root@376d6ff56bfb:/workspace/scubaduck# grep -n "month" -r tests | head

I'll look through the tests for any references to time-related queries.

shell
root@376d6ff56bfb:/workspace/scubaduck# grep -n "relative" -r tests | head tests/test_web_basics.py:206:def test_relative_dropdown(page: Any, server_url: s tr) -> None: tests/test_server_time.py:133:def test_relative_time_query(monkeypatch: pytest.M onkeyPatch) -> None:
) assert text_align == "right" def test_relative_dropdown(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#order_by option", state="attached") btn = page.query_selector('[data-target="start-select"]') assert btn btn.click() page.click("#start-select div:text('-3 hours')") assert page.input_value("#start") == "-3 hours" def test_end_dropdown_now(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#order_by option", state="attached") page.click('[data-target="end-select"]') page.click("#end-select div:text('now')") assert page.input_value("#end") == "now" def test_invalid_time_error_shown(page: Any, server_url: str) -> None: data = run_query( page, server_url, start="nonsense", end="now", order_by="user", ) assert "error" in data msg = page.text_content("#view") assert "nonsense" in msg def test_url_query_persistence(page: Any, server_url: str) -> None: page.goto(server_url) page.wait_for_selector("#order_by option", state="attached") page.wait_for_function("window.lastResults !== undefined") page.fill("#start", "2024-01-01 00:00:00") page.fill("#end", "2024-01-02 00:00:00") page.fill("#limit", "1") page.evaluate("window.lastResults = undefined") page.click("text=Dive") page.wait_for_function("window.lastResults !== undefined") first_url = page.url first_rows = page.evaluate("window.lastResults.rows.length") page.fill("#limit", "2") page.evaluate("window.lastResults = undefined") page.click("text=Dive") page.wait_for_function("window.lastResults !== undefined") second_url = page.url second_rows = page.evaluate("window.lastResults.rows.length") assert second_rows != first_rows assert first_url != second_url page.go_back() page.wait_for_function("window.lastResults !== undefined")

I need to extend parse_time for months and years, then add corresponding tests.

shell
root@376d6ff56bfb:/workspace/scubaduck# sed -n '1,160p' tests/test_server.py """Legacy test module. Tests have been split into multiple files: - test_server_basic.py - test_server_db_types.py - test_server_time.py - test_server_errors.py - test_server_timeseries.py """

I'll add a test for parse_time, possibly in test_server_time.py or a new file.

shell
import json from scubaduck import server def test_basic_query() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-02 00:00:00", "order_by": "timestamp", "order_dir": "ASC", "limit": 10, "columns": ["timestamp", "event", "value", "user"], "filters": [], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert data rows = data["rows"] # We expect first three rows (until 2024-01-02 00:00:00) assert len(rows) == 3 assert rows[0][1] == "login" assert rows[1][1] == "logout" def test_js_served() -> None: app = server.app client = app.test_client() rv = client.get("/js/chip_input.js") assert rv.status_code == 200 assert b"initChipInput" in rv.data def test_filter_multi_token() -> None: app = server.app client = app.test_client() payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-02 03:00:00", "order_by": "timestamp", "limit": 10, "columns": ["timestamp", "event", "value", "user"], "filters": [{"column": "user", "op": "=", "value": ["alice", "charlie"]} ], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert data rows = data["rows"] # Should only return rows for alice and charlie assert len(rows) == 3 assert rows[0][3] == "alice" assert rows[-1][3] == "charlie" def test_empty_filter_is_noop() -> None: app = server.app client = app.test_client() base_payload = { "table": "events", "start": "2024-01-01 00:00:00", "end": "2024-01-03 00:00:00", "limit": 100, "columns": ["timestamp", "event", "value", "user"], } no_filter = {**base_payload, "filters": []} empty_filter = { **base_payload, "filters": [{"column": "user", "op": "=", "value": None}], }

I need to check tests/conftest.py to confirm how the app is being created.

shell
from __future__ import annotations import threading from collections.abc import Iterator import pytest from werkzeug.serving import make_server from scubaduck.server import app @pytest.fixture() def server_url() -> Iterator[str]: httpd = make_server("127.0.0.1", 0, app) port = httpd.server_port thread = threading.Thread(target=httpd.serve_forever) thread.start() try: yield f"http://127.0.0.1:{port}" finally: httpd.shutdown() thread.join()

I need to find where server.app is defined in the codebase.

shell
root@376d6ff56bfb:/workspace/scubaduck# grep -n "app =" -n scubaduck/server.py 353: app = Flask(__name__, static_folder="static") 681:app = create_app()

I'll check the bottom of server.py for the query endpoint after seeing parse_time.

shell
params.end if isinstance(params.end, str) else None, ) if ( params.limit is not None and params.start is not None and params.end is not None ): try: start_dt = dtparser.parse(params.start) end_dt = dtparser.parse(params.end) buckets = math.ceil( (end_dt - start_dt).total_seconds() / bucket_size ) if buckets > 1: params.limit *= buckets except Exception: pass sql = build_query(params, column_types) try: rows = con.execute(sql).fetchall() except Exception as exc: tb = traceback.format_exc() print(f"Query failed:\n{sql}\n{tb}") return ( jsonify({"sql": sql, "error": str(exc), "traceback": tb}), 400, ) result: Dict[str, Any] = {"sql": sql, "rows": rows} if params.start is not None: result["start"] = str(params.start) if params.end is not None: result["end"] = str(params.end) if bucket_size is not None: result["bucket_size"] = bucket_size return jsonify(result) return app app = create_app() if __name__ == "__main__": app.run(debug=True)

I see parse_time is used in the /api/query endpoint, time to modify it.

shell
root@376d6ff56bfb:/workspace/scubaduck# grep -n "parse_time" -n scubaduck/server .py 101:def parse_time(val: str | None) -> str | None: 447: start = parse_time(payload.get("start")) 448: end = parse_time(payload.get("end"))

I'll check lines 88 to 120 where we explored the parse_time snippet earlier.

shell
con.execute("INSERT INTO extra VALUES (1704070800, 'y', 2)") return con _REL_RE = re.compile( r"([+-]?\d+(?:\.\d*)?)\s*(hour|hours|day|days|week|weeks|fortnight|fortnight s)", re.IGNORECASE, ) def parse_time(val: str | None) -> str | None: """Parse an absolute or relative time string into ``YYYY-MM-DD HH:MM:SS``."" " if val is None or val == "": return None s = val.strip() if s.lower() == "now": dt = datetime.now(timezone.utc) return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S") m = _REL_RE.fullmatch(s) if m: qty = float(m.group(1)) unit = m.group(2).lower() delta: timedelta if unit.startswith("hour"): delta = timedelta(hours=qty) elif unit.startswith("day"): delta = timedelta(days=qty) elif unit.startswith("week"): delta = timedelta(weeks=qty) elif unit.startswith("fortnight"): delta = timedelta(weeks=2 * qty) else: # pragma: no cover - defensive raise ValueError(f"Unsupported unit: {unit}") dt = datetime.now(timezone.utc) + delta return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S") dt = dtparser.parse(s) return dt.replace(microsecond=0, tzinfo=None).strftime("%Y-%m-%d %H:%M:%S") def _granularity_seconds(granularity: str, start: str | None, end: str | None) - > int:

I’ll update parse_time to treat months and years as integers, with fractional values converted to approximate days.

I'll use separate handling for months and years with relativedelta, and ensure type annotation.

I’ll add tests for months/years with monkeypatch to mock current time. Refining test setup.

shell
"columns": ["visit_time", "event"], "time_column": "visit_time", "time_unit": "us", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 1 def test_relative_time_query(monkeypatch: pytest.MonkeyPatch) -> None: app = server.app client = app.test_client() from datetime import datetime fixed_now = datetime(2024, 1, 2, 4, 0, 0) class FixedDateTime(datetime): @classmethod def now(cls, tz=None): # type: ignore[override] return fixed_now if tz is None else fixed_now.astimezone(tz) monkeypatch.setattr(server, "datetime", FixedDateTime) payload = { "table": "events", "start": "-1 hour", "end": "now", "order_by": "timestamp", "limit": 100, "columns": ["timestamp", "event", "value", "user"], "filters": [], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 1 assert data["rows"][0][3] == "charlie" def test_default_start_end_returned() -> None: app = server.app client = app.test_client() payload = { "table": "events", "order_by": "timestamp", "limit": 5, "columns": ["timestamp"], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert data["start"] == "2024-01-01 00:00:00" assert data["end"] == "2024-01-02 03:00:00" def test_time_column_none_no_time_filter() -> None: app = server.app client = app.test_client() payload = { "table": "events", "columns": ["timestamp", "event"], "time_column": "", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert "start" not in data and "end" not in data assert len(data["rows"]) == 4

I'll add a test for relative time by month and year and check the data.

shell
root@376d6ff56bfb:/workspace/scubaduck# head scubaduck/sample.csv timestamp,event,value,user 2024-01-01 00:00:00,login,10,alice 2024-01-01 01:00:00,logout,20,bob 2024-01-02 00:00:00,login,30,alice 2024-01-02 03:00:00,login,40,charlie

I need to patch the current time and validate the start/end with correct values.

I need to adjust the test to match the behavior of datetime and patch accordingly.

shell
fixed_now = datetime(2024, 1, 2, 4, 0, 0) class FixedDateTime(datetime): @classmethod def now(cls, tz=None): # type: ignore[override] return fixed_now if tz is None else fixed_now.astimezone(tz) monkeypatch.setattr(server, "datetime", FixedDateTime) payload = { "table": "events", "start": "-1 hour", "end": "now", "order_by": "timestamp", "limit": 100, "columns": ["timestamp", "event", "value", "user"], "filters": [], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 1 assert data["rows"][0][3] == "charlie" def test_default_start_end_returned() -> None: app = server.app client = app.test_client() payload = { "table": "events", "order_by": "timestamp", "limit": 5, "columns": ["timestamp"], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert data["start"] == "2024-01-01 00:00:00" assert data["end"] == "2024-01-02 03:00:00" def test_time_column_none_no_time_filter() -> None: app = server.app client = app.test_client() payload = { "table": "events",

I'll patch server.datetime to handle parsing "-1000 month" as desired, updating _REL_RE. Then, I'll test for months/years and consider negative values. I'll review the README for any relevant documentation.

shell
root@376d6ff56bfb:/workspace/scubaduck# grep -n "relative" -n README.md 19:* Start/End - Help text: "Sets the start/end of the time range to query. Can be any kind of datetime string. For example: 'April 23, 2014' or 'yesterday'." T he UI for this selector supports both relative selections (now, -1 hour, -3 hour s, -12 hours, -1 day, -3 days, -1 week, -1 fortnight, -30 days, -90 days) as wel l as specifying an absolute date. The way this field is rendered is there is a free form text box, a drop down arrow (for the relative selectors), and then a c alendar button (for date selection).

I'll check out the lines near 14 in the README. Let's see what's there.

shell
I really like Scuba (Meta's internal real-time database system). The distributed , real-time database part of Scuba is quite difficult (and expensive) to replica te, but I also really like Scuba's UI for doing queries, and I have found myself wishing that I have access to it even for "small" databases, e.g., I have a sql ite dataset I want to explore. Pivotal ideas: * Time series by default. In the dedicated "time series" view, there are many fe atures specifically oriented towards working towards tables that represent event s that occurred over time: the start, end, compare, aggregate and granularity fi elds all specially privilege the timestamp field. In fact, you can't log events to Scuba's backing data store without a timestamp, they always come with one. (S cuba also supports other views that don't presuppose a time series, but the time series is the most beloved and well used view.) This is in contrast to typical software which tries to generalize to arbitrary data first, with time series bei ng added on later. * It's all about exploration. Scuba is predicated on the idea that you don't kno w what you're looking for, that you are going to spend time tweaking queries and changing filters/grouping as part of an investigation to figure out why a syste m behaves the way it is. So the filters/comparisons/groupings you want to edit a re always visible on the left sidebar, with the expectation that you're going to tweak the query to look at something else. Similarly, all the parameters of you r query get saved into your URL, so your browser history can double up as a quer y history / you can easily share a query with someone else. This is contrast to typical software which is often oriented to making pretty dashboards and reports . (This function is important too, but it's not what I want in exploration mode! ) * You can fix data problems in the query editor. It's pretty common to have mess ed up and ended up with a database that doesn't have exactly the columns you nee d, or some columns that are corrupted in some way. Scuba has pretty robust suppo rt for defining custom columns with arbitrary SQL functions, grouping over them as if they were native functions, and doing so with minimal runtime cost (Scuba aims to turn around your query in milliseconds!) Having to go and run a huge dat a pipeline to fix your data is a big impediment to exploration; quick and easy c ustom columns means you can patch over problems when you're investigating and fi x them for real later. We're going to build a exploratory data analysis tool like Scuba for time series database (i.e., a database with a mandatory timestamp representing the time an event occurred). We'll use DuckDB as the underlying SQL engine served from a Py thon server, and render the GUI/results as a webpage with vanilla HTML and JS. W e'll use choices.js to support token inputs. We define a token input to mean a text input element where as you type a dropdown displays with valid values, and if you select one or press enter, the selection turns into a token/chip that can only be deleted as one unit. To start, we are going to support one views: samples. The samples view only all ows you to view individual samples from the database, subject to a filter. Our m ain UI concept is that there is a left sidebar that is the query editor, and the right side that shows the view. The sidebar is always visible and defaults to the query parameters of the current view. After you make changes to the query, clicking the "Dive" button updates the view. The URL of the page encodes all of the values of the query (and gets updated when you Dive), so the browser's back button lets you view previous queries. The query editor's job is to generate a SQL query, which then is applied on the database, and then the result visualized according to the view. Here are the settings you can apply to the query. The help text should show up w hen you mouse over the field name: * Start/End - Help text: "Sets the start/end of the time range to query. Can be any kind of datetime string. For example: 'April 23, 2014' or 'yesterday'." The UI for this selector supports both relative selections (now, -1 hour, -3 hours, -12 hours, -1 day, -3 days, -1 week, -1 fortnight, -30 days, -90 days) as well a s specifying an absolute date. The way this field is rendered is there is a fre e form text box, a drop down arrow (for the relative selectors), and then a cale ndar button (for date selection). * Order By - Help text: "Choose a column to sort results by." There is an ASC/D ESC toggle next to it. * Limit - Help text: "Choose the maximum number of results to show in the chart after any aggregations have been applied. For example, a limit of 10 will show no more than 10 rows for a table, etc." * Filters - You can create as many filters as you want. You can either write a f ilter using a UI or manual SQL. In the UI, filter consists of a column name, a r elation (e.g., =, !=, <, >) and then a text field. The text field is a token inp ut. It accepts multiple tokens for = relation, in which case we match using an O R for all options. There is also a "Columns" tab which lets you view all fields in the table, organ ized by their type. You can also define derived columns, by specifying a column name and SQL expression. Derived columns can be used for all parts of the UI, in cluding filters/group by/etc. Columns have checkboxes indicating if we should SE LECT them or not. Each selected column shows up in the graph. There is an All/N one link which can be used to select/deselect all checkboxes. The query UI constructs a SQL query that intuitively has this form: ``` SELECT column, column, ..., FROM table WHERE time >= min-timestamp AND time <= max-timestamp [AND condition ...] ORDER BY aggregate(column) LIMIT number ``` You should write tests for the server backend, demonstrating that at specific qu ery values we get back the correct rows of data. ## Running the server

I'll open the rest of the README to look for dates or time references.

shell
root@376d6ff56bfb:/workspace/scubaduck# grep -n "month" README.md

The README doesn't mention months or years, so I'll update it with new relative time info.

shell
root@376d6ff56bfb:/workspace/scubaduck# grep -n "fortnight" -r scubaduck | head scubaduck/static/index.html:224: <div data-value="-1 fortnight">-1 fortnight</div> scubaduck/static/index.html:243: <div data-value="-1 fortnight">-1 fortnight</div> scubaduck/server.py:96: r"([+-]?\d+(?:\.\d*)?)\s*(hour|hours|day|days|week|we eks|fortnight|fortnights)", scubaduck/server.py:121: elif unit.startswith("fortnight"):

I’m checking lines near 220 in static/index.html to see the dropdown options.

shell
root@376d6ff56bfb:/workspace/scubaduck# sed -n '210,260p' scubaduck/static/index .html </select> </div> <div class="field"> <label>Start<span class="help" title="Sets the start/end of the time r ange to query. Can be any kind of datetime string. For example: 'April 23, 2014' or 'yesterday'.">[?]</span></label> <div class="rel-box"> <input id="start" type="text" /> <button type="button" class="rel-btn" data-target="start-select">&#9 660;</button> <div id="start-select" class="rel-dropdown" data-input="start"> <div data-value="-1 hour">-1 hour</div> <div data-value="-3 hours">-3 hours</div> <div data-value="-12 hours">-12 hours</div> <div data-value="-1 day">-1 day</div> <div data-value="-3 days">-3 days</div> <div data-value="-1 week">-1 week</div> <div data-value="-1 fortnight">-1 fortnight</div> <div data-value="-30 days">-30 days</div> <div data-value="-90 days">-90 days</div> </div> </div> </div> <div class="field"> <label>End<span class="help" title="Sets the start/end of the time ran ge to query. Can be any kind of datetime string. For example: 'April 23, 2014' o r 'yesterday'.">[?]</span></label> <div class="rel-box"> <input id="end" type="text" /> <button type="button" class="rel-btn" data-target="end-select">&#966 0;</button> <div id="end-select" class="rel-dropdown" data-input="end"> <div data-value="now">now</div> <div data-value="-1 hour">-1 hour</div> <div data-value="-3 hours">-3 hours</div> <div data-value="-12 hours">-12 hours</div> <div data-value="-1 day">-1 day</div> <div data-value="-3 days">-3 days</div> <div data-value="-1 week">-1 week</div> <div data-value="-1 fortnight">-1 fortnight</div> <div data-value="-30 days">-30 days</div> <div data-value="-90 days">-90 days</div> </div> </div> </div> <div class="field"> <label>Order By<span class="help" title="Choose a column to sort resul ts by.">[?]</span></label> <select id="order_by"></select> <button id="order_dir" type="button">ASC \u25B2</button> </div> <div class="field"> <label>Limit<span class="help" title="Choose the maximum number of res ults to show in the chart after any aggregations have been applied. For example, a limit of 10 will show no more than 10 rows for a table, etc.">[?]</span></lab el> <input id="limit" type="number" value="100" /> </div> <div id="x_axis_field" class="field" style="display:none;"> <label>X-axis</label> <select id="x_axis"></select>

The user reports an issue with relative time entries like "-1000 months." I'll update server.parse_time to support parsing these even though the UI doesn't feature months/years. A README update may also help clarify this. No UI changes required.

shell
root@376d6ff56bfb:/workspace/scubaduck# grep -n "hour" README.md 19:* Start/End - Help text: "Sets the start/end of the time range to query. Can be any kind of datetime string. For example: 'April 23, 2014' or 'yesterday'." T he UI for this selector supports both relative selections (now, -1 hour, -3 hour s, -12 hours, -1 day, -3 days, -1 week, -1 fortnight, -30 days, -90 days) as wel l as specifying an absolute date. The way this field is rendered is there is a free form text box, a drop down arrow (for the relative selectors), and then a c alendar button (for date selection).

I'll update the README to include months and years in the relative dropdown options. Let’s check the setup and activate the environment with source .venv/bin/activate.

shell
root@376d6ff56bfb:/workspace/scubaduck# source .venv/bin/activate (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I'll modify the parse_time function as needed to reflect the required adjustments.

shell
con.execute("INSERT INTO extra VALUES (1704067200, 'x', 1)") con.execute("INSERT INTO extra VALUES (1704070800, 'y', 2)") return con _REL_RE = re.compile( r"([+-]?\d+(?:\.\d*)?)\s*(hour|hours|day|days|week|weeks|fortnight|fortnight s)", re.IGNORECASE, ) def parse_time(val: str | None) -> str | None: """Parse an absolute or relative time string into ``YYYY-MM-DD HH:MM:SS``."" " if val is None or val == "": return None s = val.strip() if s.lower() == "now": dt = datetime.now(timezone.utc) return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S") m = _REL_RE.fullmatch(s) if m: qty = float(m.group(1)) unit = m.group(2).lower() delta: timedelta if unit.startswith("hour"): delta = timedelta(hours=qty) elif unit.startswith("day"): delta = timedelta(days=qty) elif unit.startswith("week"): delta = timedelta(weeks=qty) elif unit.startswith("fortnight"): delta = timedelta(weeks=2 * qty) else: # pragma: no cover - defensive raise ValueError(f"Unsupported unit: {unit}") dt = datetime.now(timezone.utc) + delta return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S") dt = dtparser.parse(s) return dt.replace(microsecond=0, tzinfo=None).strftime("%Y-%m-%d %H:%M:%S") def _granularity_seconds(granularity: str, start: str | None, end: str | None) - > int: gran = granularity.lower()
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# apply_patch<<'PATCH' > *** Begin Patch > *** Update File: scubaduck/server.py > @@ > -_REL_RE = re.compile( > - r"([+-]?\d+(?:\.\d*)?)\s*(hour|hours|day|days|week|weeks|fortnight|fortni ghts)", > - re.IGNORECASE, > -) > +_REL_RE = re.compile( > + r"([+-]?\d+(?:\.\d*)?)\s*(hour|hours|day|days|week|weeks|fortnight|fortni ghts|month|months|year|years)", > + re.IGNORECASE, > +) > *** End Patch > PATCH Success. Updated the following files: M scubaduck/server.py (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I'll go ahead and adjust the parse_time function as needed.

shell
aduck/server.py 101:def parse_time(val: str | None) -> str | None: 447: start = parse_time(payload.get("start")) 448: end = parse_time(payload.get("end"))
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# sed -n '101,130p' scubaduck/ server.py def parse_time(val: str | None) -> str | None: """Parse an absolute or relative time string into ``YYYY-MM-DD HH:MM:SS``."" " if val is None or val == "": return None s = val.strip() if s.lower() == "now": dt = datetime.now(timezone.utc) return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S") m = _REL_RE.fullmatch(s) if m: qty = float(m.group(1)) unit = m.group(2).lower() delta: timedelta if unit.startswith("hour"): delta = timedelta(hours=qty) elif unit.startswith("day"): delta = timedelta(days=qty) elif unit.startswith("week"): delta = timedelta(weeks=qty) elif unit.startswith("fortnight"): delta = timedelta(weeks=2 * qty) else: # pragma: no cover - defensive raise ValueError(f"Unsupported unit: {unit}") dt = datetime.now(timezone.utc) + delta return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S") dt = dtparser.parse(s) return dt.replace(microsecond=0, tzinfo=None).strftime("%Y-%m-%d %H:%M:%S") (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I need to add from dateutil.relativedelta import relativedelta in the server.py imports.

shell
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# grep -n "relativedelta" scub aduck/server.py (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I’ll add from dateutil.relativedelta import relativedelta alongside the other imports at the top.

shell
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# sed -n '1,30p' scubaduck/ser ver.py from __future__ import annotations from dataclasses import dataclass, field, replace from typing import Any, Dict, List, Tuple, cast import re from datetime import datetime, timedelta, timezone import time from pathlib import Path import os import traceback import math import duckdb from dateutil import parser as dtparser from flask import Flask, jsonify, request, send_from_directory def _quote(ident: str) -> str: """Return identifier quoted for SQL.""" return f'"{ident.replace('"', '""')}"' @dataclass class Filter: column: str op: str value: str | int | float | list[str] | None (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I'll add from dateutil.relativedelta import relativedelta after dtparser import and patch.

shell
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# apply_patch<<'PATCH' > *** Begin Patch > *** Update File: scubaduck/server.py > @@ > -from dateutil import parser as dtparser > +from dateutil import parser as dtparser > +from dateutil.relativedelta import relativedelta > *** End Patch > PATCH Success. Updated the following files: M scubaduck/server.py (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I'll go ahead and modify the parse_time function as needed.

shell
> *** Update File: scubaduck/server.py > @@ > - m = _REL_RE.fullmatch(s) > - if m: > - qty = float(m.group(1)) > - unit = m.group(2).lower() > - delta: timedelta > - if unit.startswith("hour"): > - delta = timedelta(hours=qty) > - elif unit.startswith("day"): > - delta = timedelta(days=qty) > - elif unit.startswith("week"): > - delta = timedelta(weeks=qty) > - elif unit.startswith("fortnight"): > - delta = timedelta(weeks=2 * qty) > - else: # pragma: no cover - defensive > - raise ValueError(f"Unsupported unit: {unit}") > - dt = datetime.now(timezone.utc) + delta > - return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S") > + m = _REL_RE.fullmatch(s) > + if m: > + qty = float(m.group(1)) > + unit = m.group(2).lower() > + now = datetime.now(timezone.utc) > + dt: datetime > + if unit.startswith("hour"): > + dt = now + timedelta(hours=qty) > + elif unit.startswith("day"): > + dt = now + timedelta(days=qty) > + elif unit.startswith("week"): > + dt = now + timedelta(weeks=qty) > + elif unit.startswith("fortnight"): > + dt = now + timedelta(weeks=2 * qty) > + elif unit.startswith("month"): > + if qty.is_integer(): > + dt = now + relativedelta(months=int(qty)) > + else: > + dt = now + timedelta(days=30 * qty) > + elif unit.startswith("year"): > + if qty.is_integer(): > + dt = now + relativedelta(years=int(qty)) > + else: > + dt = now + timedelta(days=365 * qty) > + else: # pragma: no cover - defensive > + raise ValueError(f"Unsupported unit: {unit}") > + return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S") > *** End Patch > PATCH Success. Updated the following files: M scubaduck/server.py (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I'll go ahead and run ruff to format the code.

shell
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# ruff format scubaduck/server .py 1 file left unchanged (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I'll run a ruff check on the code now.

shell
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# ruff check scubaduck/server. py All checks passed!
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# pyright scubaduck/server.py > /tmp/pyright.log && tail -n 20 /tmp/pyright.log
0 errors, 0 warnings, 0 informations
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# cat /tmp/pyright.log 0 errors, 0 warnings, 0 informations (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I'll open tests/test_server_time.py to integrate the necessary test now.

shell
assert len(data["rows"]) == 1 def test_relative_time_query(monkeypatch: pytest.MonkeyPatch) -> None: app = server.app client = app.test_client() from datetime import datetime fixed_now = datetime(2024, 1, 2, 4, 0, 0) class FixedDateTime(datetime): @classmethod def now(cls, tz=None): # type: ignore[override] return fixed_now if tz is None else fixed_now.astimezone(tz) monkeypatch.setattr(server, "datetime", FixedDateTime) payload = { "table": "events", "start": "-1 hour", "end": "now", "order_by": "timestamp", "limit": 100, "columns": ["timestamp", "event", "value", "user"], "filters": [], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert len(data["rows"]) == 1 assert data["rows"][0][3] == "charlie" def test_default_start_end_returned() -> None: app = server.app client = app.test_client() payload = { "table": "events", "order_by": "timestamp", "limit": 5, "columns": ["timestamp"], } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert data["start"] == "2024-01-01 00:00:00" assert data["end"] == "2024-01-02 03:00:00" def test_time_column_none_no_time_filter() -> None: app = server.app client = app.test_client() payload = { "table": "events",
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# sed -n '188,260p' tests/test _server_time.py "table": "events", "columns": ["timestamp", "event"], "time_column": "", } rv = client.post( "/api/query", data=json.dumps(payload), content_type="application/json" ) data = rv.get_json() assert rv.status_code == 200 assert "start" not in data and "end" not in data assert len(data["rows"]) == 4 (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I'll create two tests: one for "-1 month" and one for "-1 year" relative time.

I'll handle the date difference using relativedelta or 365 days, then patch the implementation.

shell
> *** Update File: tests/test_server_time.py > @@ > def test_relative_time_query(monkeypatch: pytest.MonkeyPatch) -> None: > @@ > assert len(data["rows"]) == 1 > assert data["rows"][0][3] == "charlie" > + > + > +def test_relative_month_year(monkeypatch: pytest.MonkeyPatch) -> None: > + app = server.app > + client = app.test_client() > + > + from datetime import datetime > + > + fixed_now = datetime(2024, 1, 2, 0, 0, 0) > + > + class FixedDateTime(datetime): > + @classmethod > + def now(cls, tz=None): # type: ignore[override] > + return fixed_now if tz is None else fixed_now.astimezone(tz) > + > + monkeypatch.setattr(server, "datetime", FixedDateTime) > + > + payload = { > + "table": "events", > + "start": "-1 year", > + "end": "-1 month", > + "order_by": "timestamp", > + "limit": 10, > + "columns": ["timestamp"], > + } > + rv = client.post( > + "/api/query", data=json.dumps(payload), content_type="application/jso n" > + ) > + data = rv.get_json() > + assert rv.status_code == 200 > + assert data["start"] == "2023-01-02 00:00:00" > + assert data["end"] == "2023-12-02 00:00:00" > *** End Patch > PATCH Success. Updated the following files: M tests/test_server_time.py (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I'll format the test file using ruff.

shell
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# ruff format tests/test_serve r_time.py 1 file left unchanged (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I'll run a ruff check to see if all tests are in place.

shell
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# ruff check tests/test_server _time.py All checks passed! (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I'll run pyright to check the types in tests/test_server_time.py.

shell
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# pyright tests/test_server_ti me.py > /tmp/pyright.log && tail -n 20 /tmp/pyright.log
0 errors, 0 warnings, 0 informations
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# cat /tmp/pyright.log 0 errors, 0 warnings, 0 informations (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I'll add months/years to the README and update the relative time dropdown section.

shell
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# nl -ba README.md | sed -n '1 5,25p' 15 The query editor's job is to generate a SQL query, which then is applied on the database, and then the result visualized according to the view. 16 17 Here are the settings you can apply to the query. The help text should s how up when you mouse over the field name: 18 19 * Start/End - Help text: "Sets the start/end of the time range to query. Can be any kind of datetime string. For example: 'April 23, 2014' or 'yesterday '." The UI for this selector supports both relative selections (now, -1 hour, -3 hours, -12 hours, -1 day, -3 days, -1 week, -1 fortnight, -30 days, -90 days) a s well as specifying an absolute date. The way this field is rendered is there is a free form text box, a drop down arrow (for the relative selectors), and the n a calendar button (for date selection). 20 * Order By - Help text: "Choose a column to sort results by." There is an ASC/DESC toggle next to it. 21 * Limit - Help text: "Choose the maximum number of results to show in th e chart after any aggregations have been applied. For example, a limit of 10 wi ll show no more than 10 rows for a table, etc." 22 * Filters - You can create as many filters as you want. You can either w rite a filter using a UI or manual SQL. In the UI, filter consists of a column n ame, a relation (e.g., =, !=, <, >) and then a text field. The text field is a t oken input. It accepts multiple tokens for = relation, in which case we match us ing an OR for all options. 23 24 There is also a "Columns" tab which lets you view all fields in the tabl e, organized by their type. You can also define derived columns, by specifying a column name and SQL expression. Derived columns can be used for all parts of th e UI, including filters/group by/etc. Columns have checkboxes indicating if we s hould SELECT them or not. Each selected column shows up in the graph. There is an All/None link which can be used to select/deselect all checkboxes. 25 (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I’ll add -1 month, -3 months, and -1 year to the list of options.

shell
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# apply_patch<<'PATCH' > *** Begin Patch > *** Update File: README.md > @@ > -* Start/End - Help text: "Sets the start/end of the time range to query. Can be any kind of datetime string. For example: 'April 23, 2014' or 'yesterday'." T he UI for this selector supports both relative selections (now, -1 hour, -3 hour s, -12 hours, -1 day, -3 days, -1 week, -1 fortnight, -30 days, -90 days) as wel l as specifying an absolute date. The way this field is rendered is there is a free form text box, a drop down arrow (for the relative selectors), and then a c alendar button (for date selection). > +* Start/End - Help text: "Sets the start/end of the time range to query. Can be any kind of datetime string. For example: 'April 23, 2014' or 'yesterday'." T he UI for this selector supports both relative selections (now, -1 hour, -3 hour s, -12 hours, -1 day, -3 days, -1 week, -1 fortnight, -30 days, -90 days, -1 mon th, -1 year) as well as specifying an absolute date. The way this field is rend ered is there is a free form text box, a drop down arrow (for the relative selec tors), and then a calendar button (for date selection). > *** End Patch > PATCH Success. Updated the following files: M README.md (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I don't need to format the README for Markdown, but I might format the repo.

shell
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# ruff format README.md error: Failed to parse README.md:1:3: Simple statements must be separated by new lines or semicolons (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

Since it's not a Python file, I'll skip the format check but run Ruff check.

shell
... semicolons | 36 | ``` 37 | 38 | You should write tests for the server backend, demonstrating that at specif ic query values we get back the correct rows of data. | ^ 39 | 40 | ## Running the server | README.md:38:24: SyntaxError: Compound statements are not allowed on the same li ne as simple statements | 36 | ``` 37 | 38 | You should write tests for the server backend, demonstrating that at specif ic query values we get back the correct rows of data. | ^ 39 | 40 | ## Running the server | README.md:38:32: SyntaxError: Expected 'in', found name | 36 | ``` 37 | 38 | You should write tests for the server backend, demonstrating that at specif ic query values we get back the correct rows of data. | ^ 39 | 40 | ## Running the server | README.md:38:39: SyntaxError: Expected ':', found name | 36 | ``` 37 | 38 | You should write tests for the server backend, demonstrating that at specif ic query values we get back the correct rows of data. | ^ 39 | 40 | ## Running the server | README.md:38:62: SyntaxError: Expected ',', found name | 36 | ``` 37 | 38 | You should write tests for the server backend, demonstrating that at specif ic query values we get back the correct rows of data. | ^ 39 | 40 | ## Running the server | README.md:38:67: SyntaxError: Expected ',', found name | 36 | ``` 37 | 38 | You should write tests for the server backend, demonstrating that at specif ic query values we get back the correct rows of data. | ^ 39 | 40 | ## Running the server | README.md:38:70: SyntaxError: Expected ',', found name | 36 | ``` 37 | 38 | You should write tests for the server backend, demonstrating that at specif ic query values we get back the correct rows of data. | ^ 39 | 40 | ## Running the server | README.md:38:79: SyntaxError: Expected ',', found name | 36 | ``` 37 | 38 | You should write tests for the server backend, demonstrating that at specif ic query values we get back the correct rows of data. | ^ 39 | 40 | ## Running the server | README.md:38:85: SyntaxError: Expected ',', found name | 36 | ``` 37 | 38 | You should write tests for the server backend, demonstrating that at specif ic query values we get back the correct rows of data. | ^ 39 | 40 | ## Running the server | README.md:38:92: SyntaxError: Expected ',', found name | 36 | ``` 37 | 38 | You should write tests for the server backend, demonstrating that at specif ic query values we get back the correct rows of data. | ^ 39 | 40 | ## Running the server | README.md:38:95: SyntaxError: Expected ',', found name | 36 | ``` 37 | 38 | You should write tests for the server backend, demonstrating that at specif ic query values we get back the correct rows of data. | ^ 39 | 40 | ## Running the server ... 52 | not exist, the server will raise a `FileNotFoundError` during startup. | README.md:51:64: SyntaxError: Expected ',', found name | 49 | variable to point at a different database file (CSV, SQLite or DuckDB) if y ou 50 | want to use another dataset. The special value `TEST` starts the server wit h a 51 | small in-memory SQLite dataset used by the automated tests. If the file doe s | ^ 52 | not exist, the server will raise a `FileNotFoundError` during startup. | README.md:51:68: SyntaxError: Expected ',', found name | 49 | variable to point at a different database file (CSV, SQLite or DuckDB) if y ou 50 | want to use another dataset. The special value `TEST` starts the server wit h a 51 | small in-memory SQLite dataset used by the automated tests. If the file doe s | ^ 52 | not exist, the server will raise a `FileNotFoundError` during startup. | README.md:51:73: SyntaxError: Expected ',', found name | 49 | variable to point at a different database file (CSV, SQLite or DuckDB) if y ou 50 | want to use another dataset. The special value `TEST` starts the server wit h a 51 | small in-memory SQLite dataset used by the automated tests. If the file doe s | ^ 52 | not exist, the server will raise a `FileNotFoundError` during startup. | README.md:51:77: SyntaxError: Expected ',', found newline | 49 | variable to point at a different database file (CSV, SQLite or DuckDB) if y ou 50 | want to use another dataset. The special value `TEST` starts the server wit h a 51 | small in-memory SQLite dataset used by the automated tests. If the file doe s | ^ 52 | not exist, the server will raise a `FileNotFoundError` during startup. | README.md:52:16: SyntaxError: Expected ',', found name | 50 | want to use another dataset. The special value `TEST` starts the server wit h a 51 | small in-memory SQLite dataset used by the automated tests. If the file doe s 52 | not exist, the server will raise a `FileNotFoundError` during startup. | ^ | README.md:52:23: SyntaxError: Expected ',', found name | 50 | want to use another dataset. The special value `TEST` starts the server wit h a 51 | small in-memory SQLite dataset used by the automated tests. If the file doe s 52 | not exist, the server will raise a `FileNotFoundError` during startup. | ^ | README.md:52:28: SyntaxError: Expected ':', found 'raise' | 50 | want to use another dataset. The special value `TEST` starts the server wit h a 51 | small in-memory SQLite dataset used by the automated tests. If the file doe s 52 | not exist, the server will raise a `FileNotFoundError` during startup. | ^ | README.md:52:36: SyntaxError: Got unexpected token ` | 50 | want to use another dataset. The special value `TEST` starts the server wit h a 51 | small in-memory SQLite dataset used by the automated tests. If the file doe s 52 | not exist, the server will raise a `FileNotFoundError` during startup. | ^ | README.md:52:54: SyntaxError: Got unexpected token ` | 50 | want to use another dataset. The special value `TEST` starts the server wit h a 51 | small in-memory SQLite dataset used by the automated tests. If the file doe s 52 | not exist, the server will raise a `FileNotFoundError` during startup. | ^ | README.md:52:63: SyntaxError: Simple statements must be separated by newlines or semicolons | 50 | want to use another dataset. The special value `TEST` starts the server wit h a 51 | small in-memory SQLite dataset used by the automated tests. If the file doe s 52 | not exist, the server will raise a `FileNotFoundError` during startup. | ^ | README.md:52:71: SyntaxError: Expected an identifier | 50 | want to use another dataset. The special value `TEST` starts the server wit h a 51 | small in-memory SQLite dataset used by the automated tests. If the file doe s 52 | not exist, the server will raise a `FileNotFoundError` during startup. | ^ | Found 644 errors. (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

Ruff check failed on README since it doesn't support Markdown. I'll run it for the repo instead.

shell
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# ruff check All checks passed!
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# pyright > /tmp/pyright.log & & tail -n 20 /tmp/pyright.log
0 errors, 0 warnings, 0 informations
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# cat /tmp/pyright.log 0 errors, 0 warnings, 0 informations
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# pytest -q
bringing up nodes...








........................................................................ [ 64%]

........................................ [100%] 112 passed in 18.06s (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

Tests passed! Now I’ll check the git status before committing.

shell
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# git status --short M README.md M scubaduck/server.py M tests/test_server_time.py
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# git add README.md scubaduck/ server.py tests/test_server_time.py
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# git commit -m "feat(server): support month and year relative times" && git status --short [work 541093a] feat(server): support month and year relative times 3 files changed, 51 insertions(+), 8 deletions(-)
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# git status --short (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I'll reference the new _REL_RE pattern lines and capture relevant README bullet points.

shell
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# nl -ba README.md | sed -n '1 8,20p' 18 19 * Start/End - Help text: "Sets the start/end of the time range to query. Can be any kind of datetime string. For example: 'April 23, 2014' or 'yesterday '." The UI for this selector supports both relative selections (now, -1 hour, -3 hours, -12 hours, -1 day, -3 days, -1 week, -1 fortnight, -30 days, -90 days, - 1 month, -1 year) as well as specifying an absolute date. The way this field is rendered is there is a free form text box, a drop down arrow (for the relative selectors), and then a calendar button (for date selection). 20 * Order By - Help text: "Choose a column to sort results by." There is an ASC/DESC toggle next to it. (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I'll grab the lines where parse_time is used to capture the relevant section.

shell
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# nl -ba scubaduck/server.py | sed -n '90,132p' 90 con.execute('CREATE TABLE extra (ts INTEGER, "desc" TEXT, num INTEGE R)') 91 con.execute("INSERT INTO extra VALUES (1704067200, 'x', 1)") 92 con.execute("INSERT INTO extra VALUES (1704070800, 'y', 2)") 93 return con 94 95 96 _REL_RE = re.compile( 97 r"([+-]?\d+(?:\.\d*)?)\s*(hour|hours|day|days|week|weeks|fortnight|f ortnights|month|months|year|years)", 98 re.IGNORECASE, 99 ) 100 101 102 def parse_time(val: str | None) -> str | None: 103 """Parse an absolute or relative time string into ``YYYY-MM-DD HH:MM :SS``.""" 104 if val is None or val == "": 105 return None 106 s = val.strip() 107 if s.lower() == "now": 108 dt = datetime.now(timezone.utc) 109 return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S") 110 111 m = _REL_RE.fullmatch(s) 112 if m: 113 qty = float(m.group(1)) 114 unit = m.group(2).lower() 115 now = datetime.now(timezone.utc) 116 dt: datetime 117 if unit.startswith("hour"): 118 dt = now + timedelta(hours=qty) 119 elif unit.startswith("day"): 120 dt = now + timedelta(days=qty) 121 elif unit.startswith("week"): 122 dt = now + timedelta(weeks=qty) 123 elif unit.startswith("fortnight"): 124 dt = now + timedelta(weeks=2 * qty) 125 elif unit.startswith("month"): 126 if qty.is_integer(): 127 dt = now + relativedelta(months=int(qty)) 128 else: 129 dt = now + timedelta(days=30 * qty) 130 elif unit.startswith("year"): 131 if qty.is_integer(): 132 dt = now + relativedelta(years=int(qty))
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# nl -ba scubaduck/server.py | sed -n '132,152p' 132 dt = now + relativedelta(years=int(qty)) 133 else: 134 dt = now + timedelta(days=365 * qty) 135 else: # pragma: no cover - defensive 136 raise ValueError(f"Unsupported unit: {unit}") 137 return dt.replace(microsecond=0).strftime("%Y-%m-%d %H:%M:%S") 138 139 dt = dtparser.parse(s) 140 return dt.replace(microsecond=0, tzinfo=None).strftime("%Y-%m-%d %H: %M:%S") 141 142 143 def _granularity_seconds(granularity: str, start: str | None, end: str | None) -> int: 144 gran = granularity.lower() 145 mapping = { 146 "1 second": 1, 147 "5 seconds": 5, 148 "10 seconds": 10, 149 "30 seconds": 30, 150 "1 minute": 60, 151 "4 minutes": 240, 152 "5 minutes": 300, (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I'll find the lines related to the new test.

shell
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# nl -ba tests/test_server_tim e.py | sed -n '134,188p' 134 app = server.app 135 client = app.test_client() 136 137 from datetime import datetime 138 139 fixed_now = datetime(2024, 1, 2, 4, 0, 0) 140 141 class FixedDateTime(datetime): 142 @classmethod 143 def now(cls, tz=None): # type: ignore[override] 144 return fixed_now if tz is None else fixed_now.astimezone(tz) 145 146 monkeypatch.setattr(server, "datetime", FixedDateTime) 147 148 payload = { 149 "table": "events", 150 "start": "-1 hour", 151 "end": "now", 152 "order_by": "timestamp", 153 "limit": 100, 154 "columns": ["timestamp", "event", "value", "user"], 155 "filters": [], 156 } 157 rv = client.post( 158 "/api/query", data=json.dumps(payload), content_type="applicatio n/json" 159 ) 160 data = rv.get_json() 161 assert rv.status_code == 200 162 assert len(data["rows"]) == 1 163 assert data["rows"][0][3] == "charlie" 164 165 166 def test_relative_month_year(monkeypatch: pytest.MonkeyPatch) -> None: 167 app = server.app 168 client = app.test_client() 169 170 from datetime import datetime 171 172 fixed_now = datetime(2024, 1, 2, 0, 0, 0) 173 174 class FixedDateTime(datetime): 175 @classmethod 176 def now(cls, tz=None): # type: ignore[override] 177 return fixed_now if tz is None else fixed_now.astimezone(tz) 178 179 monkeypatch.setattr(server, "datetime", FixedDateTime) 180 181 payload = { 182 "table": "events", 183 "start": "-1 year", 184 "end": "-1 month", 185 "order_by": "timestamp", 186 "limit": 10, 187 "columns": ["timestamp"], 188 }
(scubaduck) root@376d6ff56bfb:/workspace/scubaduck# nl -ba tests/test_server_tim e.py | sed -n '188,220p' 188 } 189 rv = client.post( 190 "/api/query", data=json.dumps(payload), content_type="applicatio n/json" 191 ) 192 data = rv.get_json() 193 assert rv.status_code == 200 194 assert data["start"] == "2023-01-02 00:00:00" 195 assert data["end"] == "2023-12-02 00:00:00" 196 197 198 def test_default_start_end_returned() -> None: 199 app = server.app 200 client = app.test_client() 201 payload = { 202 "table": "events", 203 "order_by": "timestamp", 204 "limit": 5, 205 "columns": ["timestamp"], 206 } 207 rv = client.post( 208 "/api/query", data=json.dumps(payload), content_type="applicatio n/json" 209 ) 210 data = rv.get_json() 211 assert rv.status_code == 200 212 assert data["start"] == "2024-01-01 00:00:00" 213 assert data["end"] == "2024-01-02 03:00:00" 214 215 216 def test_time_column_none_no_time_filter() -> None: 217 app = server.app 218 client = app.test_client() 219 payload = { 220 "table": "events", (scubaduck) root@376d6ff56bfb:/workspace/scubaduck#

I’m drafting the PR with the commit message and reference lines. Let’s wrap it!