Hacker News Data Fetcher
A tool to fetch and store Hacker News data in a SQLite database.
Installation
To install the Hacker News Data Fetcher, follow these steps:
-
Install:
pip install hn-data-fetcher
-
Run the Script:
-
The script can be run in four different modes:
update,backfill,overwrite, andoverwrite-from-date. -
Use the following command to run the script:
hn_data_fetcher --mode <mode> [--start-id <start_id>] [--start-date <start_date>] [--db-name <db_name>] [--concurrent-requests <concurrent_requests>] [--update-interval <update_interval>] [--db-queue-size <db_queue_size>] [--db-commit-interval <db_commit_interval>] [--tcp-limit <tcp_limit>]
-
Parameters:
--mode: Operation mode. Choices areupdate,backfill,overwrite, oroverwrite-from-date.--start-id: Starting ID foroverwritemode (required if mode isoverwrite).--start-date: Starting date foroverwrite-from-datemode in YYYY-MM-DD format (required if mode isoverwrite-from-date).--db-name: Path to the SQLite database file to store HN items (default:hn2.db).--concurrent-requests: Maximum number of concurrent API requests to HN (default:1000).--update-interval: How often to update the progress bar, in number of items processed (default:1000).--db-queue-size: Maximum size of the database operation queue (default:1000).--db-commit-interval: How often to commit database transactions, in number of items (default:1000).--tcp-limit: Maximum number of TCP connections.0means unlimited (default:0).
-
Examples:
- To update the database with new items:
hn-data-fetcher --mode update
- To backfill the database with historical items:
hn-data-fetcher --mode backfill
- To overwrite existing items starting from a specific ID:
hn-data-fetcher --mode overwrite --start-id 1000
- To overwrite existing items starting from a specific date:
hn-data-fetcher --mode overwrite-from-date --start-date 2024-01-01
- To update the database with new items:
-
-
Monitor Progress:
- The script provides a progress bar with an estimated time of arrival (ETA) for completion.
- It also handles errors gracefully and ensures that the database is updated correctly.
-
Graceful Shutdown:
- You can stop the script at any time by pressing
Ctrl+C. The script will handle the shutdown gracefully, ensuring that all ongoing transactions are completed.
- You can stop the script at any time by pressing
Local Development
-
Install Development Dependencies:
- Install the package in editable mode and development dependencies:
pip install -e . pip install -r requirements-dev.txt
- Install the package in editable mode and development dependencies:
-
Run Tests:
- Execute the test suite:
pytest tests/ -v
- Execute the test suite:
Metadata
Release files for hn-data-fetcher 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hn_data_fetcher-1.2.1.tar.gz | 12.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hn_data_fetcher-1.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.1 kB
Release files / hn_data_fetcher-1.2.1.tar.gz
| Download URL | hn_data_fetcher-1.2.1.tar.gz |
|---|---|
| Size | 12.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
01c8c797d7bcb7232b002594977f97a5548e1d2ef3e628ccdd5db0ea7fe02942
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
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Signed by GitHub Actions, verified by PyPI on Mar 8, 2025.
Transparency logRelease files / hn_data_fetcher-1.2.1-py3-none-any.whl
| Download URL | hn_data_fetcher-1.2.1-py3-none-any.whl |
|---|---|
| Size | 12.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3ff8ff59c71ff5cc4aef95418ad86cb0b80f2696a41f5406ca143517d4ef28d8
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|
BLAKE2b-256 checksum How to use checksums |
f0b91f8193f81bc9a65f68afcf872ca0736e925db57670d108f995a18522f1aa
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 8, 2025.
Transparency log