kopia lustrzana https://github.com/simonw/datasette
1063 wiersze
40 KiB
Python
1063 wiersze
40 KiB
Python
from dataclasses import dataclass, field
|
|
from urllib.parse import parse_qsl, urlencode
|
|
import asyncio
|
|
import hashlib
|
|
import itertools
|
|
import json
|
|
import markupsafe
|
|
import os
|
|
import re
|
|
import sqlite_utils
|
|
import textwrap
|
|
|
|
from datasette.events import CreateTableEvent
|
|
from datasette.database import QueryInterrupted
|
|
from datasette.utils import (
|
|
add_cors_headers,
|
|
await_me_maybe,
|
|
call_with_supported_arguments,
|
|
derive_named_parameters,
|
|
format_bytes,
|
|
make_slot_function,
|
|
tilde_decode,
|
|
to_css_class,
|
|
validate_sql_select,
|
|
is_url,
|
|
path_with_added_args,
|
|
path_with_format,
|
|
path_with_removed_args,
|
|
sqlite3,
|
|
truncate_url,
|
|
InvalidSql,
|
|
)
|
|
from datasette.utils.asgi import AsgiFileDownload, NotFound, Response, Forbidden
|
|
from datasette.plugins import pm
|
|
|
|
from .base import BaseView, DatasetteError, View, _error, stream_csv
|
|
|
|
|
|
class DatabaseView(View):
|
|
async def get(self, request, datasette):
|
|
format_ = request.url_vars.get("format") or "html"
|
|
|
|
await datasette.refresh_schemas()
|
|
|
|
db = await datasette.resolve_database(request)
|
|
database = db.name
|
|
|
|
visible, private = await datasette.check_visibility(
|
|
request.actor,
|
|
permissions=[
|
|
("view-database", database),
|
|
"view-instance",
|
|
],
|
|
)
|
|
if not visible:
|
|
raise Forbidden("You do not have permission to view this database")
|
|
|
|
sql = (request.args.get("sql") or "").strip()
|
|
if sql:
|
|
return await QueryView()(request, datasette)
|
|
|
|
if format_ not in ("html", "json"):
|
|
raise NotFound("Invalid format: {}".format(format_))
|
|
|
|
metadata = (datasette.metadata("databases") or {}).get(database, {})
|
|
datasette.update_with_inherited_metadata(metadata)
|
|
|
|
sql_views = []
|
|
for view_name in await db.view_names():
|
|
view_visible, view_private = await datasette.check_visibility(
|
|
request.actor,
|
|
permissions=[
|
|
("view-table", (database, view_name)),
|
|
("view-database", database),
|
|
"view-instance",
|
|
],
|
|
)
|
|
if view_visible:
|
|
sql_views.append(
|
|
{
|
|
"name": view_name,
|
|
"private": view_private,
|
|
}
|
|
)
|
|
|
|
tables = await get_tables(datasette, request, db)
|
|
canned_queries = []
|
|
for query in (
|
|
await datasette.get_canned_queries(database, request.actor)
|
|
).values():
|
|
query_visible, query_private = await datasette.check_visibility(
|
|
request.actor,
|
|
permissions=[
|
|
("view-query", (database, query["name"])),
|
|
("view-database", database),
|
|
"view-instance",
|
|
],
|
|
)
|
|
if query_visible:
|
|
canned_queries.append(dict(query, private=query_private))
|
|
|
|
async def database_actions():
|
|
links = []
|
|
for hook in pm.hook.database_actions(
|
|
datasette=datasette,
|
|
database=database,
|
|
actor=request.actor,
|
|
request=request,
|
|
):
|
|
extra_links = await await_me_maybe(hook)
|
|
if extra_links:
|
|
links.extend(extra_links)
|
|
return links
|
|
|
|
attached_databases = [d.name for d in await db.attached_databases()]
|
|
|
|
allow_execute_sql = await datasette.permission_allowed(
|
|
request.actor, "execute-sql", database
|
|
)
|
|
json_data = {
|
|
"database": database,
|
|
"private": private,
|
|
"path": datasette.urls.database(database),
|
|
"size": db.size,
|
|
"tables": tables,
|
|
"hidden_count": len([t for t in tables if t["hidden"]]),
|
|
"views": sql_views,
|
|
"queries": canned_queries,
|
|
"allow_execute_sql": allow_execute_sql,
|
|
"table_columns": (
|
|
await _table_columns(datasette, database) if allow_execute_sql else {}
|
|
),
|
|
}
|
|
|
|
if format_ == "json":
|
|
response = Response.json(json_data)
|
|
if datasette.cors:
|
|
add_cors_headers(response.headers)
|
|
return response
|
|
|
|
assert format_ == "html"
|
|
alternate_url_json = datasette.absolute_url(
|
|
request,
|
|
datasette.urls.path(path_with_format(request=request, format="json")),
|
|
)
|
|
templates = (f"database-{to_css_class(database)}.html", "database.html")
|
|
environment = datasette.get_jinja_environment(request)
|
|
template = environment.select_template(templates)
|
|
context = {
|
|
**json_data,
|
|
"database_color": db.color,
|
|
"database_actions": database_actions,
|
|
"show_hidden": request.args.get("_show_hidden"),
|
|
"editable": True,
|
|
"metadata": metadata,
|
|
"allow_download": datasette.setting("allow_download")
|
|
and not db.is_mutable
|
|
and not db.is_memory,
|
|
"attached_databases": attached_databases,
|
|
"alternate_url_json": alternate_url_json,
|
|
"select_templates": [
|
|
f"{'*' if template_name == template.name else ''}{template_name}"
|
|
for template_name in templates
|
|
],
|
|
"top_database": make_slot_function(
|
|
"top_database", datasette, request, database=database
|
|
),
|
|
}
|
|
return Response.html(
|
|
await datasette.render_template(
|
|
templates,
|
|
context,
|
|
request=request,
|
|
view_name="database",
|
|
),
|
|
headers={
|
|
"Link": '{}; rel="alternate"; type="application/json+datasette"'.format(
|
|
alternate_url_json
|
|
)
|
|
},
|
|
)
|
|
|
|
|
|
@dataclass
|
|
class QueryContext:
|
|
database: str = field(metadata={"help": "The name of the database being queried"})
|
|
database_color: str = field(metadata={"help": "The color of the database"})
|
|
query: dict = field(
|
|
metadata={"help": "The SQL query object containing the `sql` string"}
|
|
)
|
|
canned_query: str = field(
|
|
metadata={"help": "The name of the canned query if this is a canned query"}
|
|
)
|
|
private: bool = field(
|
|
metadata={"help": "Boolean indicating if this is a private database"}
|
|
)
|
|
# urls: dict = field(
|
|
# metadata={"help": "Object containing URL helpers like `database()`"}
|
|
# )
|
|
canned_query_write: bool = field(
|
|
metadata={
|
|
"help": "Boolean indicating if this is a canned query that allows writes"
|
|
}
|
|
)
|
|
metadata: dict = field(
|
|
metadata={"help": "Metadata about the database or the canned query"}
|
|
)
|
|
db_is_immutable: bool = field(
|
|
metadata={"help": "Boolean indicating if this database is immutable"}
|
|
)
|
|
error: str = field(metadata={"help": "Any query error message"})
|
|
hide_sql: bool = field(
|
|
metadata={"help": "Boolean indicating if the SQL should be hidden"}
|
|
)
|
|
show_hide_link: str = field(
|
|
metadata={"help": "The URL to toggle showing/hiding the SQL"}
|
|
)
|
|
show_hide_text: str = field(
|
|
metadata={"help": "The text for the show/hide SQL link"}
|
|
)
|
|
editable: bool = field(
|
|
metadata={"help": "Boolean indicating if the SQL can be edited"}
|
|
)
|
|
allow_execute_sql: bool = field(
|
|
metadata={"help": "Boolean indicating if custom SQL can be executed"}
|
|
)
|
|
tables: list = field(metadata={"help": "List of table objects in the database"})
|
|
named_parameter_values: dict = field(
|
|
metadata={"help": "Dictionary of parameter names/values"}
|
|
)
|
|
edit_sql_url: str = field(
|
|
metadata={"help": "URL to edit the SQL for a canned query"}
|
|
)
|
|
display_rows: list = field(metadata={"help": "List of result rows to display"})
|
|
columns: list = field(metadata={"help": "List of column names"})
|
|
renderers: dict = field(metadata={"help": "Dictionary of renderer name to URL"})
|
|
url_csv: str = field(metadata={"help": "URL for CSV export"})
|
|
show_hide_hidden: str = field(
|
|
metadata={"help": "Hidden input field for the _show_sql parameter"}
|
|
)
|
|
table_columns: dict = field(
|
|
metadata={"help": "Dictionary of table name to list of column names"}
|
|
)
|
|
alternate_url_json: str = field(
|
|
metadata={"help": "URL for alternate JSON version of this page"}
|
|
)
|
|
# TODO: refactor this to somewhere else, probably ds.render_template()
|
|
select_templates: list = field(
|
|
metadata={
|
|
"help": "List of templates that were considered for rendering this page"
|
|
}
|
|
)
|
|
top_query: callable = field(
|
|
metadata={"help": "Callable to render the top_query slot"}
|
|
)
|
|
top_canned_query: callable = field(
|
|
metadata={"help": "Callable to render the top_canned_query slot"}
|
|
)
|
|
|
|
|
|
async def get_tables(datasette, request, db):
|
|
tables = []
|
|
database = db.name
|
|
table_counts = await db.table_counts(5)
|
|
hidden_table_names = set(await db.hidden_table_names())
|
|
all_foreign_keys = await db.get_all_foreign_keys()
|
|
|
|
for table in table_counts:
|
|
table_visible, table_private = await datasette.check_visibility(
|
|
request.actor,
|
|
permissions=[
|
|
("view-table", (database, table)),
|
|
("view-database", database),
|
|
"view-instance",
|
|
],
|
|
)
|
|
if not table_visible:
|
|
continue
|
|
table_columns = await db.table_columns(table)
|
|
tables.append(
|
|
{
|
|
"name": table,
|
|
"columns": table_columns,
|
|
"primary_keys": await db.primary_keys(table),
|
|
"count": table_counts[table],
|
|
"hidden": table in hidden_table_names,
|
|
"fts_table": await db.fts_table(table),
|
|
"foreign_keys": all_foreign_keys[table],
|
|
"private": table_private,
|
|
}
|
|
)
|
|
tables.sort(key=lambda t: (t["hidden"], t["name"]))
|
|
return tables
|
|
|
|
|
|
async def database_download(request, datasette):
|
|
database = tilde_decode(request.url_vars["database"])
|
|
await datasette.ensure_permissions(
|
|
request.actor,
|
|
[
|
|
("view-database-download", database),
|
|
("view-database", database),
|
|
"view-instance",
|
|
],
|
|
)
|
|
try:
|
|
db = datasette.get_database(route=database)
|
|
except KeyError:
|
|
raise DatasetteError("Invalid database", status=404)
|
|
|
|
if db.is_memory:
|
|
raise DatasetteError("Cannot download in-memory databases", status=404)
|
|
if not datasette.setting("allow_download") or db.is_mutable:
|
|
raise Forbidden("Database download is forbidden")
|
|
if not db.path:
|
|
raise DatasetteError("Cannot download database", status=404)
|
|
filepath = db.path
|
|
headers = {}
|
|
if datasette.cors:
|
|
add_cors_headers(headers)
|
|
if db.hash:
|
|
etag = '"{}"'.format(db.hash)
|
|
headers["Etag"] = etag
|
|
# Has user seen this already?
|
|
if_none_match = request.headers.get("if-none-match")
|
|
if if_none_match and if_none_match == etag:
|
|
return Response("", status=304)
|
|
headers["Transfer-Encoding"] = "chunked"
|
|
return AsgiFileDownload(
|
|
filepath,
|
|
filename=os.path.basename(filepath),
|
|
content_type="application/octet-stream",
|
|
headers=headers,
|
|
)
|
|
|
|
|
|
class QueryView(View):
|
|
async def post(self, request, datasette):
|
|
from datasette.app import TableNotFound
|
|
|
|
db = await datasette.resolve_database(request)
|
|
|
|
# We must be a canned query
|
|
table_found = False
|
|
try:
|
|
await datasette.resolve_table(request)
|
|
table_found = True
|
|
except TableNotFound as table_not_found:
|
|
canned_query = await datasette.get_canned_query(
|
|
table_not_found.database_name, table_not_found.table, request.actor
|
|
)
|
|
if canned_query is None:
|
|
raise
|
|
if table_found:
|
|
# That should not have happened
|
|
raise DatasetteError("Unexpected table found on POST", status=404)
|
|
|
|
# If database is immutable, return an error
|
|
if not db.is_mutable:
|
|
raise Forbidden("Database is immutable")
|
|
|
|
# Process the POST
|
|
body = await request.post_body()
|
|
body = body.decode("utf-8").strip()
|
|
if body.startswith("{") and body.endswith("}"):
|
|
params = json.loads(body)
|
|
# But we want key=value strings
|
|
for key, value in params.items():
|
|
params[key] = str(value)
|
|
else:
|
|
params = dict(parse_qsl(body, keep_blank_values=True))
|
|
|
|
# Don't ever send csrftoken as a SQL parameter
|
|
params.pop("csrftoken", None)
|
|
|
|
# Should we return JSON?
|
|
should_return_json = (
|
|
request.headers.get("accept") == "application/json"
|
|
or request.args.get("_json")
|
|
or params.get("_json")
|
|
)
|
|
params_for_query = MagicParameters(params, request, datasette)
|
|
ok = None
|
|
redirect_url = None
|
|
try:
|
|
cursor = await db.execute_write(canned_query["sql"], params_for_query)
|
|
# success message can come from on_success_message or on_success_message_sql
|
|
message = None
|
|
message_type = datasette.INFO
|
|
on_success_message_sql = canned_query.get("on_success_message_sql")
|
|
if on_success_message_sql:
|
|
try:
|
|
message_result = (
|
|
await db.execute(on_success_message_sql, params_for_query)
|
|
).first()
|
|
if message_result:
|
|
message = message_result[0]
|
|
except Exception as ex:
|
|
message = "Error running on_success_message_sql: {}".format(ex)
|
|
message_type = datasette.ERROR
|
|
if not message:
|
|
message = canned_query.get(
|
|
"on_success_message"
|
|
) or "Query executed, {} row{} affected".format(
|
|
cursor.rowcount, "" if cursor.rowcount == 1 else "s"
|
|
)
|
|
|
|
redirect_url = canned_query.get("on_success_redirect")
|
|
ok = True
|
|
except Exception as ex:
|
|
message = canned_query.get("on_error_message") or str(ex)
|
|
message_type = datasette.ERROR
|
|
redirect_url = canned_query.get("on_error_redirect")
|
|
ok = False
|
|
if should_return_json:
|
|
return Response.json(
|
|
{
|
|
"ok": ok,
|
|
"message": message,
|
|
"redirect": redirect_url,
|
|
}
|
|
)
|
|
else:
|
|
datasette.add_message(request, message, message_type)
|
|
return Response.redirect(redirect_url or request.path)
|
|
|
|
async def get(self, request, datasette):
|
|
from datasette.app import TableNotFound
|
|
|
|
db = await datasette.resolve_database(request)
|
|
database = db.name
|
|
|
|
# Are we a canned query?
|
|
canned_query = None
|
|
canned_query_write = False
|
|
if "table" in request.url_vars:
|
|
try:
|
|
await datasette.resolve_table(request)
|
|
except TableNotFound as table_not_found:
|
|
# Was this actually a canned query?
|
|
canned_query = await datasette.get_canned_query(
|
|
table_not_found.database_name, table_not_found.table, request.actor
|
|
)
|
|
if canned_query is None:
|
|
raise
|
|
canned_query_write = bool(canned_query.get("write"))
|
|
|
|
private = False
|
|
if canned_query:
|
|
# Respect canned query permissions
|
|
visible, private = await datasette.check_visibility(
|
|
request.actor,
|
|
permissions=[
|
|
("view-query", (database, canned_query["name"])),
|
|
("view-database", database),
|
|
"view-instance",
|
|
],
|
|
)
|
|
if not visible:
|
|
raise Forbidden("You do not have permission to view this query")
|
|
|
|
else:
|
|
await datasette.ensure_permissions(
|
|
request.actor, [("execute-sql", database)]
|
|
)
|
|
|
|
# Flattened because of ?sql=&name1=value1&name2=value2 feature
|
|
params = {key: request.args.get(key) for key in request.args}
|
|
sql = None
|
|
|
|
if canned_query:
|
|
sql = canned_query["sql"]
|
|
elif "sql" in params:
|
|
sql = params.pop("sql")
|
|
|
|
# Extract any :named parameters
|
|
named_parameters = []
|
|
if canned_query and canned_query.get("params"):
|
|
named_parameters = canned_query["params"]
|
|
if not named_parameters:
|
|
named_parameters = await derive_named_parameters(
|
|
datasette.get_database(database), sql
|
|
)
|
|
named_parameter_values = {
|
|
named_parameter: params.get(named_parameter) or ""
|
|
for named_parameter in named_parameters
|
|
if not named_parameter.startswith("_")
|
|
}
|
|
# Set to blank string if missing from params
|
|
for named_parameter in named_parameters:
|
|
if named_parameter not in params and not named_parameter.startswith("_"):
|
|
params[named_parameter] = ""
|
|
|
|
extra_args = {}
|
|
if params.get("_timelimit"):
|
|
extra_args["custom_time_limit"] = int(params["_timelimit"])
|
|
|
|
format_ = request.url_vars.get("format") or "html"
|
|
|
|
query_error = None
|
|
results = None
|
|
rows = []
|
|
columns = []
|
|
|
|
params_for_query = params
|
|
|
|
if not canned_query_write:
|
|
try:
|
|
if not canned_query:
|
|
# For regular queries we only allow SELECT, plus other rules
|
|
validate_sql_select(sql)
|
|
else:
|
|
# Canned queries can run magic parameters
|
|
params_for_query = MagicParameters(params, request, datasette)
|
|
results = await datasette.execute(
|
|
database, sql, params_for_query, truncate=True, **extra_args
|
|
)
|
|
columns = results.columns
|
|
rows = results.rows
|
|
except QueryInterrupted as ex:
|
|
raise DatasetteError(
|
|
textwrap.dedent(
|
|
"""
|
|
<p>SQL query took too long. The time limit is controlled by the
|
|
<a href="https://docs.datasette.io/en/stable/settings.html#sql-time-limit-ms">sql_time_limit_ms</a>
|
|
configuration option.</p>
|
|
<textarea style="width: 90%">{}</textarea>
|
|
<script>
|
|
let ta = document.querySelector("textarea");
|
|
ta.style.height = ta.scrollHeight + "px";
|
|
</script>
|
|
""".format(
|
|
markupsafe.escape(ex.sql)
|
|
)
|
|
).strip(),
|
|
title="SQL Interrupted",
|
|
status=400,
|
|
message_is_html=True,
|
|
)
|
|
except sqlite3.DatabaseError as ex:
|
|
query_error = str(ex)
|
|
results = None
|
|
rows = []
|
|
columns = []
|
|
except (sqlite3.OperationalError, InvalidSql) as ex:
|
|
raise DatasetteError(str(ex), title="Invalid SQL", status=400)
|
|
except sqlite3.OperationalError as ex:
|
|
raise DatasetteError(str(ex))
|
|
except DatasetteError:
|
|
raise
|
|
|
|
# Handle formats from plugins
|
|
if format_ == "csv":
|
|
|
|
async def fetch_data_for_csv(request, _next=None):
|
|
results = await db.execute(sql, params, truncate=True)
|
|
data = {"rows": results.rows, "columns": results.columns}
|
|
return data, None, None
|
|
|
|
return await stream_csv(datasette, fetch_data_for_csv, request, db.name)
|
|
elif format_ in datasette.renderers.keys():
|
|
# Dispatch request to the correct output format renderer
|
|
# (CSV is not handled here due to streaming)
|
|
result = call_with_supported_arguments(
|
|
datasette.renderers[format_][0],
|
|
datasette=datasette,
|
|
columns=columns,
|
|
rows=rows,
|
|
sql=sql,
|
|
query_name=canned_query["name"] if canned_query else None,
|
|
database=database,
|
|
table=None,
|
|
request=request,
|
|
view_name="table",
|
|
truncated=results.truncated if results else False,
|
|
error=query_error,
|
|
# These will be deprecated in Datasette 1.0:
|
|
args=request.args,
|
|
data={"ok": True, "rows": rows, "columns": columns},
|
|
)
|
|
if asyncio.iscoroutine(result):
|
|
result = await result
|
|
if result is None:
|
|
raise NotFound("No data")
|
|
if isinstance(result, dict):
|
|
r = Response(
|
|
body=result.get("body"),
|
|
status=result.get("status_code") or 200,
|
|
content_type=result.get("content_type", "text/plain"),
|
|
headers=result.get("headers"),
|
|
)
|
|
elif isinstance(result, Response):
|
|
r = result
|
|
# if status_code is not None:
|
|
# # Over-ride the status code
|
|
# r.status = status_code
|
|
else:
|
|
assert False, f"{result} should be dict or Response"
|
|
elif format_ == "html":
|
|
headers = {}
|
|
templates = [f"query-{to_css_class(database)}.html", "query.html"]
|
|
if canned_query:
|
|
templates.insert(
|
|
0,
|
|
f"query-{to_css_class(database)}-{to_css_class(canned_query['name'])}.html",
|
|
)
|
|
|
|
environment = datasette.get_jinja_environment(request)
|
|
template = environment.select_template(templates)
|
|
alternate_url_json = datasette.absolute_url(
|
|
request,
|
|
datasette.urls.path(path_with_format(request=request, format="json")),
|
|
)
|
|
data = {}
|
|
headers.update(
|
|
{
|
|
"Link": '{}; rel="alternate"; type="application/json+datasette"'.format(
|
|
alternate_url_json
|
|
)
|
|
}
|
|
)
|
|
metadata = (datasette.metadata("databases") or {}).get(database, {})
|
|
datasette.update_with_inherited_metadata(metadata)
|
|
|
|
renderers = {}
|
|
for key, (_, can_render) in datasette.renderers.items():
|
|
it_can_render = call_with_supported_arguments(
|
|
can_render,
|
|
datasette=datasette,
|
|
columns=data.get("columns") or [],
|
|
rows=data.get("rows") or [],
|
|
sql=data.get("query", {}).get("sql", None),
|
|
query_name=data.get("query_name"),
|
|
database=database,
|
|
table=data.get("table"),
|
|
request=request,
|
|
view_name="database",
|
|
)
|
|
it_can_render = await await_me_maybe(it_can_render)
|
|
if it_can_render:
|
|
renderers[key] = datasette.urls.path(
|
|
path_with_format(request=request, format=key)
|
|
)
|
|
|
|
allow_execute_sql = await datasette.permission_allowed(
|
|
request.actor, "execute-sql", database
|
|
)
|
|
|
|
show_hide_hidden = ""
|
|
if canned_query and canned_query.get("hide_sql"):
|
|
if bool(params.get("_show_sql")):
|
|
show_hide_link = path_with_removed_args(request, {"_show_sql"})
|
|
show_hide_text = "hide"
|
|
show_hide_hidden = (
|
|
'<input type="hidden" name="_show_sql" value="1">'
|
|
)
|
|
else:
|
|
show_hide_link = path_with_added_args(request, {"_show_sql": 1})
|
|
show_hide_text = "show"
|
|
else:
|
|
if bool(params.get("_hide_sql")):
|
|
show_hide_link = path_with_removed_args(request, {"_hide_sql"})
|
|
show_hide_text = "show"
|
|
show_hide_hidden = (
|
|
'<input type="hidden" name="_hide_sql" value="1">'
|
|
)
|
|
else:
|
|
show_hide_link = path_with_added_args(request, {"_hide_sql": 1})
|
|
show_hide_text = "hide"
|
|
hide_sql = show_hide_text == "show"
|
|
|
|
# Show 'Edit SQL' button only if:
|
|
# - User is allowed to execute SQL
|
|
# - SQL is an approved SELECT statement
|
|
# - No magic parameters, so no :_ in the SQL string
|
|
edit_sql_url = None
|
|
is_validated_sql = False
|
|
try:
|
|
validate_sql_select(sql)
|
|
is_validated_sql = True
|
|
except InvalidSql:
|
|
pass
|
|
if allow_execute_sql and is_validated_sql and ":_" not in sql:
|
|
edit_sql_url = (
|
|
datasette.urls.database(database)
|
|
+ "?"
|
|
+ urlencode(
|
|
{
|
|
**{
|
|
"sql": sql,
|
|
},
|
|
**named_parameter_values,
|
|
}
|
|
)
|
|
)
|
|
|
|
r = Response.html(
|
|
await datasette.render_template(
|
|
template,
|
|
QueryContext(
|
|
database=database,
|
|
database_color=db.color,
|
|
query={
|
|
"sql": sql,
|
|
"params": params,
|
|
},
|
|
canned_query=canned_query["name"] if canned_query else None,
|
|
private=private,
|
|
canned_query_write=canned_query_write,
|
|
db_is_immutable=not db.is_mutable,
|
|
error=query_error,
|
|
hide_sql=hide_sql,
|
|
show_hide_link=datasette.urls.path(show_hide_link),
|
|
show_hide_text=show_hide_text,
|
|
editable=not canned_query,
|
|
allow_execute_sql=allow_execute_sql,
|
|
tables=await get_tables(datasette, request, db),
|
|
named_parameter_values=named_parameter_values,
|
|
edit_sql_url=edit_sql_url,
|
|
display_rows=await display_rows(
|
|
datasette, database, request, rows, columns
|
|
),
|
|
table_columns=(
|
|
await _table_columns(datasette, database)
|
|
if allow_execute_sql
|
|
else {}
|
|
),
|
|
columns=columns,
|
|
renderers=renderers,
|
|
url_csv=datasette.urls.path(
|
|
path_with_format(
|
|
request=request, format="csv", extra_qs={"_size": "max"}
|
|
)
|
|
),
|
|
show_hide_hidden=markupsafe.Markup(show_hide_hidden),
|
|
metadata=canned_query or metadata,
|
|
alternate_url_json=alternate_url_json,
|
|
select_templates=[
|
|
f"{'*' if template_name == template.name else ''}{template_name}"
|
|
for template_name in templates
|
|
],
|
|
top_query=make_slot_function(
|
|
"top_query", datasette, request, database=database, sql=sql
|
|
),
|
|
top_canned_query=make_slot_function(
|
|
"top_canned_query",
|
|
datasette,
|
|
request,
|
|
database=database,
|
|
query_name=canned_query["name"] if canned_query else None,
|
|
),
|
|
),
|
|
request=request,
|
|
view_name="database",
|
|
),
|
|
headers=headers,
|
|
)
|
|
else:
|
|
assert False, "Invalid format: {}".format(format_)
|
|
if datasette.cors:
|
|
add_cors_headers(r.headers)
|
|
return r
|
|
|
|
|
|
class MagicParameters(dict):
|
|
def __init__(self, data, request, datasette):
|
|
super().__init__(data)
|
|
self._request = request
|
|
self._magics = dict(
|
|
itertools.chain.from_iterable(
|
|
pm.hook.register_magic_parameters(datasette=datasette)
|
|
)
|
|
)
|
|
|
|
def __len__(self):
|
|
# Workaround for 'Incorrect number of bindings' error
|
|
# https://github.com/simonw/datasette/issues/967#issuecomment-692951144
|
|
return super().__len__() or 1
|
|
|
|
def __getitem__(self, key):
|
|
if key.startswith("_") and key.count("_") >= 2:
|
|
prefix, suffix = key[1:].split("_", 1)
|
|
if prefix in self._magics:
|
|
try:
|
|
return self._magics[prefix](suffix, self._request)
|
|
except KeyError:
|
|
return super().__getitem__(key)
|
|
else:
|
|
return super().__getitem__(key)
|
|
|
|
|
|
class TableCreateView(BaseView):
|
|
name = "table-create"
|
|
|
|
_valid_keys = {"table", "rows", "row", "columns", "pk", "pks", "ignore", "replace"}
|
|
_supported_column_types = {
|
|
"text",
|
|
"integer",
|
|
"float",
|
|
"blob",
|
|
}
|
|
# Any string that does not contain a newline or start with sqlite_
|
|
_table_name_re = re.compile(r"^(?!sqlite_)[^\n]+$")
|
|
|
|
def __init__(self, datasette):
|
|
self.ds = datasette
|
|
|
|
async def post(self, request):
|
|
db = await self.ds.resolve_database(request)
|
|
database_name = db.name
|
|
|
|
# Must have create-table permission
|
|
if not await self.ds.permission_allowed(
|
|
request.actor, "create-table", resource=database_name
|
|
):
|
|
return _error(["Permission denied"], 403)
|
|
|
|
body = await request.post_body()
|
|
try:
|
|
data = json.loads(body)
|
|
except json.JSONDecodeError as e:
|
|
return _error(["Invalid JSON: {}".format(e)])
|
|
|
|
if not isinstance(data, dict):
|
|
return _error(["JSON must be an object"])
|
|
|
|
invalid_keys = set(data.keys()) - self._valid_keys
|
|
if invalid_keys:
|
|
return _error(["Invalid keys: {}".format(", ".join(invalid_keys))])
|
|
|
|
# ignore and replace are mutually exclusive
|
|
if data.get("ignore") and data.get("replace"):
|
|
return _error(["ignore and replace are mutually exclusive"])
|
|
|
|
# ignore and replace only allowed with row or rows
|
|
if "ignore" in data or "replace" in data:
|
|
if not data.get("row") and not data.get("rows"):
|
|
return _error(["ignore and replace require row or rows"])
|
|
|
|
# ignore and replace require pk or pks
|
|
if "ignore" in data or "replace" in data:
|
|
if not data.get("pk") and not data.get("pks"):
|
|
return _error(["ignore and replace require pk or pks"])
|
|
|
|
ignore = data.get("ignore")
|
|
replace = data.get("replace")
|
|
|
|
if replace:
|
|
# Must have update-row permission
|
|
if not await self.ds.permission_allowed(
|
|
request.actor, "update-row", resource=database_name
|
|
):
|
|
return _error(["Permission denied - need update-row"], 403)
|
|
|
|
table_name = data.get("table")
|
|
if not table_name:
|
|
return _error(["Table is required"])
|
|
|
|
if not self._table_name_re.match(table_name):
|
|
return _error(["Invalid table name"])
|
|
|
|
table_exists = await db.table_exists(data["table"])
|
|
columns = data.get("columns")
|
|
rows = data.get("rows")
|
|
row = data.get("row")
|
|
if not columns and not rows and not row:
|
|
return _error(["columns, rows or row is required"])
|
|
|
|
if rows and row:
|
|
return _error(["Cannot specify both rows and row"])
|
|
|
|
if rows or row:
|
|
# Must have insert-row permission
|
|
if not await self.ds.permission_allowed(
|
|
request.actor, "insert-row", resource=database_name
|
|
):
|
|
return _error(["Permission denied - need insert-row"], 403)
|
|
|
|
if columns:
|
|
if rows or row:
|
|
return _error(["Cannot specify columns with rows or row"])
|
|
if not isinstance(columns, list):
|
|
return _error(["columns must be a list"])
|
|
for column in columns:
|
|
if not isinstance(column, dict):
|
|
return _error(["columns must be a list of objects"])
|
|
if not column.get("name") or not isinstance(column.get("name"), str):
|
|
return _error(["Column name is required"])
|
|
if not column.get("type"):
|
|
column["type"] = "text"
|
|
if column["type"] not in self._supported_column_types:
|
|
return _error(
|
|
["Unsupported column type: {}".format(column["type"])]
|
|
)
|
|
# No duplicate column names
|
|
dupes = {c["name"] for c in columns if columns.count(c) > 1}
|
|
if dupes:
|
|
return _error(["Duplicate column name: {}".format(", ".join(dupes))])
|
|
|
|
if row:
|
|
rows = [row]
|
|
|
|
if rows:
|
|
if not isinstance(rows, list):
|
|
return _error(["rows must be a list"])
|
|
for row in rows:
|
|
if not isinstance(row, dict):
|
|
return _error(["rows must be a list of objects"])
|
|
|
|
pk = data.get("pk")
|
|
pks = data.get("pks")
|
|
|
|
if pk and pks:
|
|
return _error(["Cannot specify both pk and pks"])
|
|
if pk:
|
|
if not isinstance(pk, str):
|
|
return _error(["pk must be a string"])
|
|
if pks:
|
|
if not isinstance(pks, list):
|
|
return _error(["pks must be a list"])
|
|
for pk in pks:
|
|
if not isinstance(pk, str):
|
|
return _error(["pks must be a list of strings"])
|
|
|
|
# If table exists already, read pks from that instead
|
|
if table_exists:
|
|
actual_pks = await db.primary_keys(table_name)
|
|
# if pk passed and table already exists check it does not change
|
|
bad_pks = False
|
|
if len(actual_pks) == 1 and data.get("pk") and data["pk"] != actual_pks[0]:
|
|
bad_pks = True
|
|
elif (
|
|
len(actual_pks) > 1
|
|
and data.get("pks")
|
|
and set(data["pks"]) != set(actual_pks)
|
|
):
|
|
bad_pks = True
|
|
if bad_pks:
|
|
return _error(["pk cannot be changed for existing table"])
|
|
pks = actual_pks
|
|
|
|
def create_table(conn):
|
|
table = sqlite_utils.Database(conn)[table_name]
|
|
if rows:
|
|
table.insert_all(rows, pk=pks or pk, ignore=ignore, replace=replace)
|
|
else:
|
|
table.create(
|
|
{c["name"]: c["type"] for c in columns},
|
|
pk=pks or pk,
|
|
)
|
|
return table.schema
|
|
|
|
try:
|
|
schema = await db.execute_write_fn(create_table)
|
|
except Exception as e:
|
|
return _error([str(e)])
|
|
table_url = self.ds.absolute_url(
|
|
request, self.ds.urls.table(db.name, table_name)
|
|
)
|
|
table_api_url = self.ds.absolute_url(
|
|
request, self.ds.urls.table(db.name, table_name, format="json")
|
|
)
|
|
details = {
|
|
"ok": True,
|
|
"database": db.name,
|
|
"table": table_name,
|
|
"table_url": table_url,
|
|
"table_api_url": table_api_url,
|
|
"schema": schema,
|
|
}
|
|
if rows:
|
|
details["row_count"] = len(rows)
|
|
await self.ds.track_event(
|
|
CreateTableEvent(
|
|
request.actor, database=db.name, table=table_name, schema=schema
|
|
)
|
|
)
|
|
return Response.json(details, status=201)
|
|
|
|
|
|
async def _table_columns(datasette, database_name):
|
|
internal_db = datasette.get_internal_database()
|
|
result = await internal_db.execute(
|
|
"select table_name, name from catalog_columns where database_name = ?",
|
|
[database_name],
|
|
)
|
|
table_columns = {}
|
|
for row in result.rows:
|
|
table_columns.setdefault(row["table_name"], []).append(row["name"])
|
|
# Add views
|
|
db = datasette.get_database(database_name)
|
|
for view_name in await db.view_names():
|
|
table_columns[view_name] = []
|
|
return table_columns
|
|
|
|
|
|
async def display_rows(datasette, database, request, rows, columns):
|
|
display_rows = []
|
|
truncate_cells = datasette.setting("truncate_cells_html")
|
|
for row in rows:
|
|
display_row = []
|
|
for column, value in zip(columns, row):
|
|
display_value = value
|
|
# Let the plugins have a go
|
|
# pylint: disable=no-member
|
|
plugin_display_value = None
|
|
for candidate in pm.hook.render_cell(
|
|
row=row,
|
|
value=value,
|
|
column=column,
|
|
table=None,
|
|
database=database,
|
|
datasette=datasette,
|
|
request=request,
|
|
):
|
|
candidate = await await_me_maybe(candidate)
|
|
if candidate is not None:
|
|
plugin_display_value = candidate
|
|
break
|
|
if plugin_display_value is not None:
|
|
display_value = plugin_display_value
|
|
else:
|
|
if value in ("", None):
|
|
display_value = markupsafe.Markup(" ")
|
|
elif is_url(str(display_value).strip()):
|
|
display_value = markupsafe.Markup(
|
|
'<a href="{url}">{truncated_url}</a>'.format(
|
|
url=markupsafe.escape(value.strip()),
|
|
truncated_url=markupsafe.escape(
|
|
truncate_url(value.strip(), truncate_cells)
|
|
),
|
|
)
|
|
)
|
|
elif isinstance(display_value, bytes):
|
|
blob_url = path_with_format(
|
|
request=request,
|
|
format="blob",
|
|
extra_qs={
|
|
"_blob_column": column,
|
|
"_blob_hash": hashlib.sha256(display_value).hexdigest(),
|
|
},
|
|
)
|
|
formatted = format_bytes(len(value))
|
|
display_value = markupsafe.Markup(
|
|
'<a class="blob-download" href="{}"{}><Binary: {:,} byte{}></a>'.format(
|
|
blob_url,
|
|
(
|
|
' title="{}"'.format(formatted)
|
|
if "bytes" not in formatted
|
|
else ""
|
|
),
|
|
len(value),
|
|
"" if len(value) == 1 else "s",
|
|
)
|
|
)
|
|
else:
|
|
display_value = str(value)
|
|
if truncate_cells and len(display_value) > truncate_cells:
|
|
display_value = display_value[:truncate_cells] + "\u2026"
|
|
display_row.append(display_value)
|
|
display_rows.append(display_row)
|
|
return display_rows
|