├── .gitignore
├── tests
    ├── conftest.py
    ├── test_query_assistant.py
    └── cassettes
    │   └── test_query_assistant
    │       ├── test_database_assistant_page.yaml
    │       └── test_table_assistant_page.yaml
├── .github
    └── workflows
    │   ├── test.yml
    │   └── publish.yml
├── pyproject.toml
├── README.md
├── datasette_query_assistant
    ├── templates
    │   └── query_assistant.html
    └── __init__.py
└── LICENSE


/.gitignore:
--------------------------------------------------------------------------------
 1 | .venv
 2 | __pycache__/
 3 | *.py[cod]
 4 | *$py.class
 5 | venv
 6 | .eggs
 7 | .pytest_cache
 8 | *.egg-info
 9 | .DS_Store
10 | .vscode
11 | dist
12 | build
13 | 


--------------------------------------------------------------------------------
/tests/conftest.py:
--------------------------------------------------------------------------------
 1 | import os
 2 | import pytest
 3 | 
 4 | 
 5 | @pytest.fixture(autouse=True)
 6 | def patch_env(monkeypatch):
 7 |     if not os.environ.get("OPENAI_API_KEY"):
 8 |         monkeypatch.setenv("OPENAI_API_KEY", "mock-key")
 9 | 
10 | 
11 | @pytest.fixture(scope="module")
12 | def vcr_config():
13 |     return {"filter_headers": ["authorization"]}
14 | 


--------------------------------------------------------------------------------
/.github/workflows/test.yml:
--------------------------------------------------------------------------------
 1 | name: Test
 2 | 
 3 | on: [push, pull_request]
 4 | 
 5 | permissions:
 6 |   contents: read
 7 | 
 8 | jobs:
 9 |   test:
10 |     runs-on: ubuntu-latest
11 |     strategy:
12 |       matrix:
13 |         python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
14 |     steps:
15 |     - uses: actions/checkout@v5
16 |     - name: Set up Python ${{ matrix.python-version }}
17 |       uses: actions/setup-python@v6
18 |       with:
19 |         python-version: ${{ matrix.python-version }}
20 |         cache: pip
21 |         cache-dependency-path: pyproject.toml
22 |     - name: Install dependencies
23 |       run: |
24 |         pip install '.[test]'
25 |     - name: Run tests
26 |       run: |
27 |         python -m pytest
28 | 
29 | 


--------------------------------------------------------------------------------
/pyproject.toml:
--------------------------------------------------------------------------------
 1 | [project]
 2 | name = "datasette-query-assistant"
 3 | version = "0.1a5"
 4 | description = "Query databases and tables with AI assistance"
 5 | readme = "README.md"
 6 | authors = [{name = "Simon Willison"}]
 7 | license = "Apache-2.0"
 8 | classifiers=[
 9 |     "Framework :: Datasette"
10 | ]
11 | requires-python = ">=3.10"
12 | dependencies = [
13 |     "datasette>=1.0a21",
14 |     "llm>=0.22",
15 |     "markdown2",
16 | ]
17 | 
18 | [project.urls]
19 | Homepage = "https://github.com/datasette/datasette-query-assistant"
20 | Changelog = "https://github.com/datasette/datasette-query-assistant/releases"
21 | Issues = "https://github.com/datasette/datasette-query-assistant/issues"
22 | CI = "https://github.com/datasette/datasette-query-assistant/actions"
23 | 
24 | [project.entry-points.datasette]
25 | query_assistant = "datasette_query_assistant"
26 | 
27 | [project.optional-dependencies]
28 | test = ["llm-openai-plugin", "inline-snapshot", "pytest", "pytest-asyncio", "pytest-recording", "sqlite-utils"]
29 | 
30 | [tool.pytest.ini_options]
31 | asyncio_mode = "strict"
32 | 
33 | [tool.setuptools.package-data]
34 | datasette_query_assistant = ["templates/*"]
35 | 


--------------------------------------------------------------------------------
/.github/workflows/publish.yml:
--------------------------------------------------------------------------------
 1 | name: Publish Python Package
 2 | 
 3 | on:
 4 |   release:
 5 |     types: [created]
 6 | 
 7 | permissions:
 8 |   contents: read
 9 | 
10 | jobs:
11 |   test:
12 |     runs-on: ubuntu-latest
13 |     strategy:
14 |       matrix:
15 |         python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
16 |     steps:
17 |     - uses: actions/checkout@v5
18 |     - name: Set up Python ${{ matrix.python-version }}
19 |       uses: actions/setup-python@v6
20 |       with:
21 |         python-version: ${{ matrix.python-version }}
22 |         cache: pip
23 |         cache-dependency-path: pyproject.toml
24 |     - name: Install dependencies
25 |       run: |
26 |         pip install '.[test]'
27 |     - name: Run tests
28 |       run: |
29 |         python -m pytest
30 |   deploy:
31 |     runs-on: ubuntu-latest
32 |     needs: [test]
33 |     environment: release
34 |     permissions:
35 |       id-token: write
36 |     steps:
37 |     - uses: actions/checkout@v5
38 |     - name: Set up Python
39 |       uses: actions/setup-python@v6
40 |       with:
41 |         python-version: "3.12"
42 |         cache: pip
43 |         cache-dependency-path: pyproject.toml
44 |     - name: Install dependencies
45 |       run: |
46 |         pip install setuptools wheel build
47 |     - name: Build
48 |       run: |
49 |         python -m build
50 |     - name: Publish
51 |       uses: pypa/gh-action-pypi-publish@release/v1
52 | 
53 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # datasette-query-assistant
 2 | 
 3 | [![PyPI](https://img.shields.io/pypi/v/datasette-query-assistant.svg)](https://pypi.org/project/datasette-query-assistant/)
 4 | [![Changelog](https://img.shields.io/github/v/release/datasette/datasette-query-assistant?include_prereleases&label=changelog)](https://github.com/datasette/datasette-query-assistant/releases)
 5 | [![Tests](https://github.com/datasette/datasette-query-assistant/actions/workflows/test.yml/badge.svg)](https://github.com/datasette/datasette-query-assistant/actions/workflows/test.yml)
 6 | [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/datasette/datasette-query-assistant/blob/main/LICENSE)
 7 | 
 8 | Query databases and tables with AI assistance
 9 | 
10 | **Early alpha**.
11 | 
12 | ## Installation
13 | 
14 | Install this plugin in the same environment as Datasette.
15 | ```bash
16 | datasette install datasette-query-assistant
17 | ```
18 | 
19 | ## Configuration
20 | 
21 | Set the model ID to be used by this plugin by adding this to your Datasette configuration:
22 | 
23 | ```yaml
24 | plugins:
25 |   datasette-query-assistant:
26 |     model: openai/gpt-4.1-mini
27 |     key_env_var: OPENAI_API_KEY
28 | ```
29 | To use the `openai/gpt-4.1-mini` model you'll need to install `llm-openai-plugin` in addition to `datasette-query-assistant`.
30 | 
31 | If the model needs an API key, set the `key_env_var` to the name of an environment variable and ensure that environment variable is correctly set.
32 | 
33 | You can use any model that is available via an [LLM plugin](https://llm.datasette.io/en/stable/plugins/directory.html)
34 | 
35 | ## Usage
36 | 
37 | Users with `execute-sql` permission will gain a database action menu item for "Query this database with AI assistance" which will let them ask a question and be redirected to a commented SQL query that will hopefully answer it.
38 | 
39 | ## Development
40 | 
41 | To set up this plugin locally, first checkout the code. Then create a new virtual environment:
42 | ```bash
43 | cd datasette-query-assistant
44 | python3 -m venv venv
45 | source venv/bin/activate
46 | ```
47 | Now install the dependencies and test dependencies:
48 | ```bash
49 | pip install -e '.[test]'
50 | ```
51 | To run the tests:
52 | ```bash
53 | pytest
54 | ```
55 | To re-generate the tests with refreshed examples from the API:
56 | ```bash
57 | pytest -x --record-mode=rewrite --inline-snapshot=fix
58 | ```
59 | 


--------------------------------------------------------------------------------
/datasette_query_assistant/templates/query_assistant.html:
--------------------------------------------------------------------------------
 1 | {% extends "base.html" %}
 2 | 
 3 | {% block title %}Query assistant for {% if table %}{{ table }}{% else %}{{ database }}{% endif %}{% endblock %}
 4 | 
 5 | {% block crumbs %}
 6 | {{ crumbs.nav(request=request, database=database, table=table) }}
 7 | {% endblock %}
 8 | 
 9 | {% block content %}
10 | 
11 | <h1>Query assistant for {% if table %}{{ table }}{% else %}{{ database }}{% endif %}</h1>
12 | 
13 | <form class="core" action="" method="POST">
14 |   <p>
15 |     <label for="id_question" style="width: auto">Ask a question of your data</label>
16 |   </p>
17 |   <p><textarea style="width: 80%; height: 4em;" name="question" id="id_question"></textarea>
18 |   <p>
19 |     <input type="hidden" name="csrftoken" value="{{ csrftoken() }}">
20 |     {% if table %}
21 |       <input type="hidden" name="table" value="{{ table }}">
22 |     {% endif %}
23 |     <single-click>
24 |       <input type="submit" value="Submit">
25 |     </single-click>
26 |   </p>
27 | </form>
28 | 
29 | <details><summary>Schema that will be passed to the model</summary>
30 | <pre>{{ schema }}</pre>
31 | </details>
32 | 
33 | <script>
34 | document.querySelector('#id_question').focus();
35 | </script>
36 | 
37 | <script type="module">
38 | class SingleClick extends HTMLElement {
39 |   constructor() {
40 |     super();
41 |   }
42 | 
43 |   connectedCallback() {
44 |     // Get the text attribute value or default to "Processing..."
45 |     this.disabledText = this.getAttribute('text') || 'Processing...';
46 |     // Initialize the component
47 |     this.initialize();
48 |   }
49 | 
50 |   initialize() {
51 |     // Find all buttons and submit inputs inside the component
52 |     const clickables = this.querySelectorAll('button, input[type="submit"]');
53 |     clickables.forEach(element => {
54 |       // Add click event listeners to each button/input
55 |       element.addEventListener('click', (e) => {
56 |         // Only proceed if the element is not already disabled
57 |         if (!element.disabled) {
58 |           // Store the original state before changing anything
59 |           if (element.tagName === 'BUTTON') {
60 |             element.dataset.originalText = element.textContent;
61 |             element.textContent = this.disabledText;
62 |           } else if (element.tagName === 'INPUT') {
63 |             element.dataset.originalValue = element.value;
64 |             element.value = this.disabledText;
65 |           }
66 |           // For form elements, we need to let the submission happen first
67 |           const form = element.closest('form');
68 |           if (form) {
69 |             // Let the submission start, then disable the button
70 |             setTimeout(() => {
71 |               element.disabled = true;
72 |             }, 0);
73 |           } else {
74 |             // For non-form buttons, disable immediately
75 |             element.disabled = true;
76 |           }
77 |         }
78 |       });
79 |     });
80 |   }
81 | }
82 | 
83 | customElements.define('single-click', SingleClick);
84 | </script>
85 | {% endblock %}
86 | 


--------------------------------------------------------------------------------
/tests/test_query_assistant.py:
--------------------------------------------------------------------------------
  1 | from datasette.app import Datasette
  2 | from datasette_query_assistant import get_related_tables
  3 | from inline_snapshot import snapshot
  4 | import pytest_asyncio
  5 | import pytest
  6 | import sqlite_utils
  7 | import urllib
  8 | 
  9 | pytestmark = [pytest.mark.vcr(ignore_localhost=True)]
 10 | 
 11 | 
 12 | @pytest.fixture(scope="module")
 13 | def vcr_config():
 14 |     return {"filter_headers": ["x-api-key"]}
 15 | 
 16 | 
 17 | @pytest_asyncio.fixture
 18 | async def datasette():
 19 |     ds = Datasette()
 20 |     db = ds.add_memory_database("test")
 21 |     await db.execute_write(
 22 |         "create table if not exists foo (id integer primary key, name text)"
 23 |     )
 24 |     return ds
 25 | 
 26 | 
 27 | def test_get_related_tables():
 28 |     db = sqlite_utils.Database(memory=True)
 29 |     db["foo.bar.baz"].insert({"id": 1}, pk="id")
 30 |     db["species"].insert({"id": 1, "name": "Dog"}, pk="id")
 31 |     db["animals"].insert(
 32 |         {"id": 1, "name": "Cleo", "species": 1},
 33 |         pk="id",
 34 |         foreign_keys=(("species", "species", "id"),),
 35 |     )
 36 |     assert get_related_tables(db.conn, "foo.bar.baz") == set()
 37 |     assert get_related_tables(db.conn, "species") == {"species", "animals"}
 38 |     assert get_related_tables(db.conn, "animals") == {"species", "animals"}
 39 | 
 40 | 
 41 | @pytest.mark.asyncio
 42 | @pytest.mark.vcr()
 43 | async def test_database_assistant_page(datasette):
 44 |     response = await datasette.client.get("/test/-/assistant")
 45 |     assert response.status_code == 200
 46 |     assert "Query assistant for test" in response.text
 47 |     assert (
 48 |         "<pre>CREATE TABLE foo (id integer primary key, name text)</pre>"
 49 |         in response.text
 50 |     )
 51 |     # Submit the form
 52 |     csrftoken = response.cookies["ds_csrftoken"]
 53 |     post_response = await datasette.client.post(
 54 |         "/test/-/assistant",
 55 |         cookies={
 56 |             "ds_csrftoken": csrftoken,
 57 |         },
 58 |         data={
 59 |             "question": "Show me all the data in the foo table",
 60 |             "csrftoken": csrftoken,
 61 |         },
 62 |     )
 63 |     assert post_response.status_code == 302
 64 |     qs = dict(urllib.parse.parse_qsl(post_response.headers["location"].split("?")[1]))
 65 |     assert qs["sql"] == snapshot(
 66 |         """\
 67 | -- SQL query to select all columns and all rows from the table 'foo'
 68 | SELECT * FROM foo;\
 69 | """
 70 |     )
 71 | 
 72 | 
 73 | @pytest.mark.asyncio
 74 | async def test_table_assistant_page(datasette):
 75 |     response = await datasette.client.get("/test/-/assistant?table=foo")
 76 |     assert response.status_code == 200
 77 |     assert "Query assistant for foo" in response.text
 78 |     assert (
 79 |         "<pre>CREATE TABLE foo (id integer primary key, name text)</pre>"
 80 |         in response.text
 81 |     )
 82 |     # Submit the form
 83 |     csrftoken = response.cookies["ds_csrftoken"]
 84 |     post_response = await datasette.client.post(
 85 |         "/test/-/assistant",
 86 |         cookies={
 87 |             "ds_csrftoken": csrftoken,
 88 |         },
 89 |         data={
 90 |             "question": "Count of rows in foo",
 91 |             "csrftoken": csrftoken,
 92 |         },
 93 |     )
 94 |     assert post_response.status_code == 302
 95 |     qs = dict(urllib.parse.parse_qsl(post_response.headers["location"].split("?")[1]))
 96 |     assert qs["sql"] == snapshot(
 97 |         """\
 98 | -- Count the total number of rows in the table 'foo'
 99 | SELECT COUNT(*) 
100 | FROM foo;\
101 | """
102 |     )
103 | 


--------------------------------------------------------------------------------
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/datasette_query_assistant/__init__.py:
--------------------------------------------------------------------------------
  1 | from datasette import hookimpl, Response, Forbidden
  2 | from datasette.resources import DatabaseResource
  3 | import dataclasses
  4 | from llm import get_async_model
  5 | import re
  6 | import urllib
  7 | from markupsafe import escape
  8 | import markdown2
  9 | from datasette.utils import sqlite3
 10 | import itsdangerous
 11 | from typing import Tuple, Optional, Set
 12 | 
 13 | SYSTEM_PROMPT = """
 14 | You answer questions by generating SQL queries using SQLite schema syntax.
 15 | Always start with -- SQL comments explaining what you are about to do.
 16 | No yapping. Output SQL with extensive SQL comments in a sql tagged
 17 | fenced markdown code block.
 18 | 
 19 | Return only one SQL SELECT query. Follow the query with an explanation
 20 | of what the query does and how it works, which should include bold for
 21 | emphasis where appropriate.
 22 | 
 23 | Example question:
 24 | 
 25 | How many rows in the sqlite_master table?
 26 | 
 27 | Example output (shown between ----):
 28 | ----
 29 | ```sql
 30 | select count(*) from sqlite_master
 31 | ```
 32 | Count the **number of rows** in the `sqlite_master` table.
 33 | ----
 34 | The table schema is:
 35 | """.lstrip()
 36 | 
 37 | SCHEMA_SQL = """
 38 | select group_concat(sql, ';
 39 | ') from sqlite_master where type != 'trigger'
 40 | """
 41 | SCHEMA_SQL_SPECIFIC = """
 42 | select group_concat(sql, ';
 43 | ') from sqlite_master where tbl_name in (PARAMS) and type != 'trigger'
 44 | """
 45 | 
 46 | 
 47 | @dataclasses.dataclass
 48 | class Config:
 49 |     model_id: str
 50 | 
 51 | 
 52 | def config(datasette):
 53 |     return
 54 | 
 55 | 
 56 | async def get_schema(db, table=None):
 57 |     if table:
 58 | 
 59 |         def _related(conn):
 60 |             return get_related_tables(conn, table)
 61 | 
 62 |         tables = await db.execute_fn(_related)
 63 |         tables.add(table)
 64 |         sql = SCHEMA_SQL_SPECIFIC.replace("PARAMS", ",".join("?" for _ in tables))
 65 |         return (await db.execute(sql, tuple(tables))).first()[0]
 66 |     else:
 67 |         return (await db.execute(SCHEMA_SQL)).first()[0]
 68 | 
 69 | 
 70 | async def has_permission(datasette, actor, database):
 71 |     return await datasette.allowed(
 72 |         action="execute-sql",
 73 |         resource=DatabaseResource(database),
 74 |         actor=actor,
 75 |     )
 76 | 
 77 | 
 78 | _sql_re = re.compile(r"```sql\n(?P<sql>.*?)\n```(?P<explanation>.*)", re.DOTALL)
 79 | 
 80 | 
 81 | def extract_sql_and_explanation(sql) -> Tuple[str, Optional[str]]:
 82 |     match = _sql_re.search(sql)
 83 |     if match:
 84 |         return match.group("sql"), match.group("explanation")
 85 |     return sql, None
 86 | 
 87 | 
 88 | async def generate_sql_with_retries(
 89 |     model, db, question, schema, sql=None, max_retries=3
 90 | ) -> Tuple[str, Optional[str]]:
 91 |     # if sql:
 92 |     # question = "Previous query:\n" + sql + "\n\n" + question
 93 |     attempt = 0
 94 |     conversation = model.conversation()
 95 |     while attempt < max_retries:
 96 |         attempt += 1
 97 |         response = await conversation.prompt(
 98 |             question, system=SYSTEM_PROMPT + schema, stream=False
 99 |         )
100 |         sql, explanation = extract_sql_and_explanation(await response.text())
101 |         # Try to run it as an explain
102 |         # First remove any of those leading comment lines
103 |         lines = sql.split("\n")
104 |         not_comments = [line for line in lines if not line.startswith("-- ")]
105 |         explain = "explain " + "\n".join(not_comments)
106 |         try:
107 |             if explain.lower().split()[1] != "select":
108 |                 raise ValueError("only select queries are supported")
109 |             await db.execute(explain)
110 |             return sql, explanation
111 |         except (sqlite3.Error, sqlite3.Warning, ValueError) as ex:
112 |             question = "Error: {}".format(str(ex))
113 |     # If we get here we are going to give up, but we'll send the query anyway
114 |     sql += f"\n-- Gave up after {max_retries} attempts"
115 |     return sql, explanation
116 | 
117 | 
118 | async def assistant(request, datasette):
119 |     database = request.url_vars["database"]
120 |     db = datasette.get_database(database)
121 |     if not await has_permission(datasette, request.actor, database):
122 |         raise Forbidden("You do not have execute-sql permission")
123 | 
124 |     if request.method == "POST":
125 |         post_vars = await request.post_vars()
126 |         question = (post_vars.get("question") or "").strip()
127 |         sql = post_vars.get("sql") or None
128 |         table = post_vars.get("table") or None
129 |         if not question:
130 |             datasette.add_message(request, "Question is required", datasette.ERROR)
131 |             return Response.redirect(request.full_path)
132 | 
133 |         # Here we go
134 |         schema = await get_schema(db, table)
135 | 
136 |         model = get_async_model("openai/gpt-4.1-mini")
137 | 
138 |         sql, explanation = await generate_sql_with_retries(
139 |             model, db, question, schema, sql=sql
140 |         )
141 |         args = {"sql": sql}
142 |         if explanation:
143 |             args["explanation"] = datasette.sign(explanation, namespace="explanation")
144 |         return Response.redirect(
145 |             datasette.urls.database(database) + "?" + urllib.parse.urlencode(args)
146 |         )
147 | 
148 |     table = request.args.get("table")
149 |     schema = await get_schema(db, table)
150 |     return Response.html(
151 |         await datasette.render_template(
152 |             "query_assistant.html",
153 |             {"schema": schema, "database": database, "table": table},
154 |             request=request,
155 |         )
156 |     )
157 | 
158 | 
159 | @hookimpl
160 | def table_actions(datasette, actor, table, database):
161 |     async def inner():
162 |         if await has_permission(datasette, actor, database):
163 |             return [
164 |                 {
165 |                     "href": datasette.urls.database(database)
166 |                     + "/-/assistant?{}".format(
167 |                         urllib.parse.urlencode({"table": table})
168 |                     ),
169 |                     "label": "Query this table with AI assistance",
170 |                     "description": "Ask a question to build a SQL query",
171 |                 }
172 |             ]
173 | 
174 |     return inner
175 | 
176 | 
177 | @hookimpl
178 | def database_actions(datasette, actor, database):
179 |     async def inner():
180 |         if await has_permission(datasette, actor, database):
181 |             return [
182 |                 {
183 |                     "href": datasette.urls.database(database) + "/-/assistant",
184 |                     "label": "Query this database with AI assistance",
185 |                     "description": "Ask a question to build a SQL query",
186 |                 }
187 |             ]
188 | 
189 |     return inner
190 | 
191 | 
192 | @hookimpl
193 | def top_query(request, datasette, database, sql):
194 |     signed_explanation = request.args.get("explanation") or ""
195 |     explanation = ""
196 |     try:
197 |         explanation_decoded = datasette.unsign(
198 |             signed_explanation, namespace="explanation"
199 |         )
200 |         if explanation_decoded:
201 |             explanation = '<div style="border: 2px solid #006400; background-color: #e8f5e9; margin-top: 1em; padding: 4px 10px 0px 10px; border-radius: 6px; max-width: 600px; box-shadow: 0 1px 3px rgba(0,0,0,0.1); line-height: 1.5; color: #333;">{}</div>'.format(
202 |                 markdown2.markdown(explanation_decoded)
203 |             )
204 |     except itsdangerous.exc.BadSignature:
205 |         explanation = ""
206 |     return """
207 |     <details><summary>AI query assistant</summary>
208 |     <form class="core" action="{}/-/assistant" method="post">
209 |     <p style="margin-top: 0.5em">
210 |     <textarea placeholder="Describe a change to make to this query" name="question"
211 |       style="width: 80%; height: 4em"></textarea></p>
212 |     <p>
213 |       <input type="submit" value="Update SQL">
214 |       <input type="hidden" name="sql" value="{}">
215 |       <input type="hidden" name="csrftoken" value="{}">
216 |     </p>
217 |     </form></details>
218 |     {}
219 |     """.format(
220 |         datasette.urls.database(database),
221 |         escape(sql),
222 |         request.scope["csrftoken"](),
223 |         explanation,
224 |     )
225 | 
226 | 
227 | @hookimpl
228 | def register_routes():
229 |     return [
230 |         (
231 |             r"^/(?P<database>[^/]+)/-/assistant$",
232 |             assistant,
233 |         ),
234 |     ]
235 | 
236 | 
237 | def get_related_tables(
238 |     sqlite_connection: sqlite3.Connection, table_name: str
239 | ) -> Set[str]:
240 |     def get_directly_related_tables(table: str, explored_tables: Set[str]) -> Set[str]:
241 |         related_tables = set()
242 |         cursor = sqlite_connection.cursor()
243 |         # Get tables that table has a foreign key to
244 |         cursor.execute(f'PRAGMA foreign_key_list("{table}")')
245 |         for row in cursor.fetchall():
246 |             related_table = row[2]
247 |             if related_table not in explored_tables:
248 |                 related_tables.add(related_table)
249 |                 explored_tables.add(related_table)
250 | 
251 |         # Get tables that have a foreign key to table
252 |         cursor.execute("SELECT name FROM sqlite_master WHERE type='table'")
253 |         for row in cursor.fetchall():
254 |             other_table = row[0]
255 |             if other_table not in explored_tables:
256 |                 cursor.execute(f'PRAGMA foreign_key_list("{other_table}")')
257 |                 for fk_row in cursor.fetchall():
258 |                     if fk_row[2] == table:
259 |                         related_tables.add(other_table)
260 |                         explored_tables.add(other_table)
261 |                         break
262 | 
263 |         return related_tables
264 | 
265 |     all_related_tables = set()
266 |     directly_related_tables = get_directly_related_tables(table_name, {table_name})
267 |     while directly_related_tables:
268 |         all_related_tables.update(directly_related_tables)
269 |         new_directly_related_tables = set()
270 |         for tbl in directly_related_tables:
271 |             new_directly_related_tables.update(
272 |                 get_directly_related_tables(tbl, all_related_tables)
273 |             )
274 |         directly_related_tables = new_directly_related_tables
275 | 
276 |     return set(all_related_tables)
277 | 


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