abstract-flask 0.0.0.1017

Utilities for building Flask apps faster: structured request parsing, safe argument extraction, user/IP introspection, logging helpers, and light-weight file/directory utilities — all packaged as small, composable modules.

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Abstract Flask

Utilities for building Flask apps faster: structured request parsing, safe argument extraction, user/IP introspection, logging helpers, and light-weight file/directory utilities — all packaged as small, composable modules.

Version: 0.0.0.23
Status: Alpha
License: MIT
Author: putkoff · [e-mail]
Repository: github.com/AbstractEndeavors/abstract_flask

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Why Abstract Flask?

Most Flask projects re-implement the same glue: normalize request data (query/form/JSON), validate keys, coerce types, find the caller’s user or IP, wire in basic logging, and juggle upload/download/process folders.

Abstract Flask provides these as small, composable utilities you can import as needed — without forcing a project layout or framework.

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✨ Features

• Robust request parsing

  • Unified access to JSON, form, and query data.
  • Required key validation and case-insensitive matching.
  • Convert positional args into typed kwargs with defaults.

• Execution helpers

  • Run a function with validated request data and return consistent {result|error, status_code} envelopes.

• User/IP introspection

  • Get authenticated user or resolve user by IP.
  • Extract complete request metadata (headers, cookies, files, etc.).

• Blueprint & app tooling

  • App factory with built-in request logging.
  • /api/endpoints route for quick endpoint discovery.

• File & directory helpers

  • Manage uploads, downloads, conversions, and user-specific directories with singleton managers.
  • Validate file extensions and safely move/copy files.

• Network helpers

  • Discover host IP with safe fallback to 127.0.0.1.

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📦 Installation

pip install abstract_flask

Dependencies

Core requirements:

• flask
• flask_cors
• werkzeug
• abstract_utilities
• abstract_pandas

Optional integrations:

• abstract_queries — for user/IP resolution.
• abstract_security — for environment-driven config (main_flask_start).

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🚀 Quickstart

from abstract_flask.abstract_flask import get_Flask_app, get_bp
from abstract_flask.request_utils.request_utils import extract_request_data
from flask import jsonify

# 1) Create a Blueprint
bp, _logger = get_bp(name="example")

@bp.route("/hello", methods=["GET", "POST"])
def hello():
    data = extract_request_data(request)
    return jsonify({"message": "hi", "data": data}), 200

# 2) Create the app and register Blueprints
app = get_Flask_app(name="demo_app", bp_list=[bp])

if __name__ == "__main__":
    app.run(debug=True, host="0.0.0.0", port=5000)

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📚 Core Modules

Request utilities (abstract_flask.request_utils)

• extract_request_data(req, res_type='all')
• get_request_info(req, res_type='user'|'ip_addr')
• get_request_data(req)
• required_keys(keys, req, defaults=None)
• get_only_kwargs(varList, *args, **kwargs)
• get_proper_kwargs(strings, **kwargs)
• get_spec_kwargs(var_types, args=None, **kwargs)
• execute_request(keys, req, func, desired_keys=None, defaults=None)

App helpers (abstract_flask.abstract_flask)

• get_bp(name, abs_path=None) → (Blueprint, logger)
• addHandler(app, name=None) → app with audit logging
• get_Flask_app(name, bp_list=None, **kwargs) → ready-to-run Flask app
• jsonify_it(obj) → (jsonify(obj), status_code)
• /api/endpoints → discover routes

File utilities (abstract_flask.file_utils)

• fileManager (singleton, allowed extensions)
• AbsManager & AbsManagerDynamic (directory management)
• Helpers for uploads, downloads, conversions, per-user dirs.

Network utilities (abstract_flask.network_utils)

• Safe host IP detection with fallback.

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🧪 Examples

Validate keys & execute a function

from abstract_flask.request_utils.get_requests import execute_request

def add(a: int, b: int) -> int:
    return a + b

@app.route("/add", methods=["GET", "POST"])
def add_endpoint():
    result = execute_request(
        keys=["a", "b"],
        req=request,
        func=add,
        desired_keys=["a", "b"],
        defaults={"a": 0, "b": 0}
    )
    return jsonify(result), result.get("status_code", 200)

Typed arg shaping with defaults

from abstract_flask.request_utils.get_requests import get_spec_kwargs

spec = {
  "query": {"value": "",   "type": str},
  "limit": {"value": 25,   "type": int},
  "exact": {"value": False,"type": bool},
}

@app.route("/search", methods=["POST"])
def search():
    data = request.get_json(silent=True) or {}
    shaped = get_spec_kwargs(spec, [], **data)
    return jsonify(shaped)

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⚠️ Known Quirks

• main_flask_start has typos (iteems, KEY_VALUS, default PORT=True). Fix before production.
• Docstring of get_Flask_app says “Quart” but it’s Flask.
• get_request_data is defined twice in request_utils.py; use the second implementation.
• Optional features rely on abstract_queries and abstract_security.

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🔧 Compatibility

• Python: ≥ 3.6 (tested up to 3.11)
• Flask: Any modern 2.x release

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🤝 Contributing

Contributions welcome!

1. Fork the repo.
2. Create a branch (feat/your-feature).
3. Add tests/examples.
4. Open a pull request.

Issues and PRs are tracked on GitHub: AbstractEndeavors/abstract_flask.

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📄 License

MIT © Abstract Endeavors / putkoff

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