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Offline, advisory SQL standards linter for Microsoft Fabric Data Warehouse: parses .sql files and reports anything that doesn't match the team's SQL standards. Human report + machine JSON for the company agent. Never edits or blocks.

Project description

coop-sql-review

A friendly tool that reads your .sql files and points out anything that doesn't follow our SQL standards for the Fabric data warehouse. It is advisory only — it never changes, rejects, or deletes anything. It just prints a report so you can fix things before committing.

It works completely offline (your SQL never leaves your machine) and runs the same on Windows and Mac.


1. What you need first

  • Python 3.10 or newer. To check what you have, open a terminal (see below) and type:

    python --version
    

    If that says 3.10 or higher, you're set. If it says "command not found" or an older version, install Python from https://www.python.org/downloads/ (tick "Add Python to PATH" on Windows).

  • How to open a terminal:

    • Windows: press the Start button, type Terminal, press Enter.
    • Mac: press Cmd+Space, type Terminal, press Enter.

You'll type commands at the blinking prompt and press Enter after each one.


2. Install it (one time)

We use pipx, which keeps the tool tidy and separate from everything else on your machine.

Step 1 — install pipx (skip if you already have it):

python -m pip install --user pipx
python -m pipx ensurepath

Close and reopen your terminal after this (so it picks up the new command).

Step 2 — install coop-sql-review:

pipx install coop-sql-review

Check it worked:

coop-sql-review --version

You should see a version number like coop-sql-review, version 0.1.0.

Not published to PyPI yet? Install straight from the repository instead:

pipx install git+https://github.com/kabukisensei/coop-sql-review.git

3. Use it

The main command is check. Point it at a file or a folder of .sql files.

Check one file:

coop-sql-review check path/to/my_query.sql

Check a whole folder (it looks in sub-folders too):

coop-sql-review check path/to/sql-folder

Tip (don't know the path?) Type coop-sql-review check (with a trailing space), then drag the file or folder from your file explorer onto the terminal window — it pastes the path for you. Then press Enter.

That's it. The tool prints a report and always finishes successfully — it won't block you.


4. Reading the report

A typical report looks like this:

silver/dim_customer.sql
  ! silver/dim_customer.sql:12  [warning] SQL-NO-SELECT-STAR (§11)
      SELECT * in production code — list the columns explicitly (§11).
  x silver/dim_customer.sql:4   [error] SQL-NO-ALTER-COLUMN (§9)
      ALTER COLUMN is not supported in Fabric DW — use the CTAS + RENAME workaround (§9).

Checked 1 file(s): 1 error, 1 warning.
Advisory only - nothing was changed or blocked.
  • Each line shows file:line, a severity, the rule that fired, and the § section of the standards it comes from.
  • Severities:
    • error — almost certainly broken in Fabric (e.g. ALTER COLUMN, which Fabric rejects).
    • warning — against the standard; worth fixing.
    • info — a style/nice-to-have suggestion.
  • Diagnostics (a separate section, if shown) are processing notes — e.g. "this statement uses syntax we couldn't fully read." They tell you where the tool's checking may be incomplete, so nothing fails silently.
  • Agent review — a few checks (like "is this MERGE the right choice?") need human/agent judgment, so they're listed separately rather than flagged as pass/fail.

Show only the important stuff (hide the info-level suggestions):

coop-sql-review check sql-folder --min-severity warning

Big folder? Save the report to a file so you can scroll/search it instead of watching it fly past (a progress bar shows while it scans):

coop-sql-review check sql-folder --output review.html --format html

Then open review.html in your browser — it's a clean, self-contained page (no internet needed). You can also use --format markdown (open review.md in any editor) or plain --output review.txt.


5. All the commands

Command What it does
coop-sql-review check [paths...] Check files/folders against the standards (the main command).
coop-sql-review rules List every rule it checks, with severity and tier.
coop-sql-review help Show help. help check shows help for one command.
coop-sql-review update Update the tool to the newest version (same as upgrade).
coop-sql-review upgrade Update the tool to the newest version.
coop-sql-review --version Show the installed version.

Options for check

Option Meaning
-o, --output <file> Write the report to a file instead of the screen (best for big runs).
--format text|json|markdown|html text (default) for the screen, html for a clean browser report, markdown for a readable file, json for tools/the agent.
--min-severity error|warning|info Hide findings below this level. Default info (show all).
--standards <file> Check against a specific standards file (default: the built-in copy).
--config <rules.yml> Turn rules on/off or change their severity (see §7).
--log-file <file> Also write the diagnostics (parse problems, errors) to a file.
--strict Exit with an error code if any finding at or above --min-severity remains — for CI gates (see §6).
--dialect <name> SQL dialect to parse (default tsql, which fits Fabric).

Run coop-sql-review rules any time to see the current full list of checks.


6. Use it in CI (optional)

By default the tool never fails a build (it's advisory). If a team wants a gate, add --strict with a severity floor — it then exits with an error code when something at/above that level is found:

coop-sql-review check sql-folder --strict --min-severity warning

For a machine-readable report (e.g. to attach to a build or feed the company agent):

coop-sql-review check sql-folder --format json > sql-review.json

7. Customising the rules (optional)

Create a small rules.yml to turn rules on/off or change their severity — no reinstall needed:

rules:
  SQL-DISTINCT-SMELL:
    enabled: false            # turn a rule off
  SQL-NO-SELECT-STAR:
    severity: error           # treat SELECT * as an error instead of a warning
  SQL-TABLE-LAYER-NAME:
    enabled: true             # turn ON a rule that's off by default

Then:

coop-sql-review check sql-folder --config rules.yml

Two rules ship turned off by default because they're noisy on estates that don't follow those conventions — turn them on in rules.yml (as above) if you want them:

  • SQL-HEADER-COMMENT (§10) — every file must start with a File/Purpose/… header block.
  • SQL-TABLE-LAYER-NAME (§1) — tables/views must live in a bronze/silver/gold schema.

Run coop-sql-review rules to see which rules are off by default (marked [off by default]).

To check against the team's canonical standards file directly:

coop-sql-review check sql-folder --standards path/to/sql-standards.md

8. Keeping it up to date

coop-sql-review update

This updates the tool (and safe dependency updates) to the latest version. It's the only command that uses the internet.


9. Troubleshooting

  • coop-sql-review: command not found — you likely skipped pipx ensurepath, or didn't reopen the terminal. Run python -m pipx ensurepath, then close and reopen the terminal.
  • externally-managed-environment error on install — that's why we use pipx (above) instead of plain pip. Use the pipx steps in §2.
  • It conflicts with another tool's packages — pipx isolates coop-sql-review so this shouldn't happen; if you installed with plain pip, uninstall and reinstall with pipx.
  • Windows: odd characters in the report — the tool prints UTF-8 and is tested on Windows; if your console looks garbled, use Windows Terminal (the default on Windows 11).
  • "No .sql files found" — double-check the folder path; the tool only reads files ending in .sql.

For developers & AI agents

  • Architecture, the rule engine, and how to add a rule: see CLAUDE.md.
  • What to build and why: SPEC.md; the full rule taxonomy: RULES.md.
  • The standards being enforced: docs/standards.md (bundled with the tool).
  • Run the tests: PYTHONPATH=src python -m pytest -q · lint: ruff check src tests.

This tool reuses the proven skeleton and conventions from the company's coop-data-doc tool and shared CLI playbook.

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