amotl

#!/usr/bin/env python3
"""
Prerequisite:

    docker run --rm --name=cratedb \
        --publish=4200:4200 --publish=5432:5432 \
        --env=CRATE_HEAP_SIZE=2g crate/crate:nightly \
        -Cdiscovery.type=single-node

Variants:

amotl

"""
Investigate anomaly with pandas and CrateDB, re. storing `DATE` types that naturally do not use time zones.
https://github.com/crate/sqlalchemy-cratedb/issues/216

Setup: Please install dependency packages enumerated below.
Usage: Please toggle database connection URI per `dburi = this or that`.
Invoke: Just type `uv run pandas_cratedb_date_type.py`.

docker run --rm -it --name=cratedb --publish=4200:4200 --publish=5432:5432 --env=CRATE_HEAP_SIZE=2g crate/crate:nightly -Cdiscovery.type=single-node
docker run --rm -it --name=postgresql --publish=5433:5432 --env "POSTGRES_HOST_AUTH_METHOD=trust" postgres:17 postgres -c log_statement=all

amotl

#!/usr/bin/env python3
# /// script
# requires-python = ">=3.9"
# dependencies = [
#     "sqlalchemy-cratedb",
# ]
# ///

"""
Usage:

amotl

import sqlalchemy as sa

TIMEOUT = 0.00001

if __name__ == "__main__":
    engine = sa.create_engine('crate://localhost/', connect_args={"timeout": TIMEOUT})
    c = engine.connect()
    result = c.execute(sa.text("SELECT 42;"))
    print(result.all())

amotl

"""
# Transfer GitHub Pull Requests

## About
Transfer pull requests on GitHub from one repository to another.

## Details
Here: Transfer PRs closed by stale bot on the PyCaret repository,
modulo updates submitted by Dependabot, to the fork at sktime.

amotl

#!/usr/bin/env python
"""
## About
Concisely fetch data from remote resources in Python, with caching.

## Synopsis
```
uv run acquire_dataset_cached.py
```

amotl

Universal Declaration of Human Rights

Source: https://en.wikisource.org/wiki/Universal_Declaration_of_Human_Rights

Universal Declaration of Human Rights the United Nations General Assembly 1948

Exported from Wikisource on December 24, 2024

A UNIVERSAL DECLARATION

amotl

# GitHub Actions Workflow Failures Digest for CrateDB's ecosystem
# https://github.com/crate/crate-clients-tools/issues/148

# Optionally use authentication when running into rate limits.
# It is an (here invalidated) personal access token (classic),
# using the "workflow" scope.

# GITHUB_TOKEN=ghp_00r4G0tGxLDT5RGOwWNw7tZhFnK5fT0uMfoo
# HTTPIE_OPTIONS="--auth-type bearer --auth ${GITHUB_TOKEN}"

amotl

# Connect using SQLAlchemy Core.
import sqlalchemy as sa
from pprint import pp

dburi = "crate://localhost:4200"
query = "SELECT country, mountain, coordinates, height FROM sys.summits ORDER BY country;"


def print_active_servers(connection: sa.engine.Connection):
    print("Active Servers:", connection.connection.dbapi_connection.client.active_servers)

amotl

"""
Attempt to trip a low-memory condition in CrateDB, resulting in a weird error message
like `SQLParseException[ShardCollectContext for 0 already added]`.

This program tries to emulate the MLflow test case `test_search_runs_returns_expected_results_with_large_experiment`,
succeeded by a `DELETE FROM` table truncation operation.

Remark: It did not work out well. This program trips `OutOfMemoryError[Java heap space]`
        right away. Please use the MLflow test case reproducer demonstrated at:
        https://github.com/crate-workbench/mlflow-cratedb/issues/53#issuecomment-1927234463