HuaweiCrawler

This is the documentation of HuaweiCrawler.

From the root of the project, run:

python setup.py --version

Read the Docs, run:

python setup.py doctest

python setup.py docs

Unit test, run:

python setup.py test

PyPI upload, run setup.py:

1. Commit -> Git - tag - add - v0.0.1 -> ``setup.py`` -> push
2. Github - Release - new release v0.0.1

python setup.py sdist bdist_wheel
twine upload dist/*

Note

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The pretty useful extension autodoc is activated by default and lets you include documentation from docstrings. Docstrings can be written in Google style (recommended!), NumPy style and classical style.

Contents

License

Apache License

Version 2.0, January 2004

http://www.apache.org/licenses/

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Contributors

• Quan Pan <quanpan302@hotmail.com>

Contributing

Welcome to the Rasterio project. Here’s how we work.

Code of Conduct

First of all: the Rasterio project has a code of conduct. Please read the CODE_OF_CONDUCT.txt file, it’s important to all of us.

Rights

The BSD license (see LICENSE.txt) applies to all contributions.

Issue Conventions

The Rasterio issue tracker is for actionable issues.

Questions about installation, distribution, and usage should be taken to the project’s general discussion group. Opened issues which fall into one of these three categories may be perfunctorily closed.

Questions about development of Rasterio, brainstorming, requests for comment, and not-yet-actionable proposals are welcome in the project’s developers discussion group. Issues opened in Rasterio’s GitHub repo which haven’t been socialized there may be perfunctorily closed.

Rasterio is a relatively new project and highly active. We have bugs, both known and unknown.

Please search existing issues, open and closed, before creating a new one.

Rasterio employs C extension modules, so bug reports very often hinge on the following details:

• Operating system type and version (Windows? Ubuntu 12.04? 14.04?)
• The version and source of Rasterio (PyPI, Anaconda, or somewhere else?)
• The version and source of GDAL (UbuntuGIS? Homebrew?)

Please provide these details as well as tracebacks and relevant logs. When using the $ rio CLI logging can be enabled with $ rio -v and verbosity can be increased with -vvv. Short scripts and datasets demonstrating the issue are especially helpful!

Design Principles

Rasterio’s API is different from GDAL’s API and this is intentional.

• Rasterio is a library for reading and writing raster datasets. Rasterio uses GDAL but is not a “Python binding for GDAL.”
• Rasterio always prefers Python’s built-in protocols and types or Numpy protocols and types over concepts from GDAL’s data model.
• Rasterio keeps I/O separate from other operations. rasterio.open() is the only library function that operates on filenames and URIs. dataset.read(), dataset.write(), and their mask counterparts are the methods that perform I/O.
• Rasterio methods and functions should be free of side-effects and hidden inputs. This is challenging in practice because GDAL embraces global variables.

Dataset Objects

Our term for the kind of object that allows read and write access to raster data is dataset object. A dataset object might be an instance of DatasetReader or DatasetWriter. The canonical way to create a dataset object is by using the rasterio.open() function.

This is analogous to Python’s use of file object.

Git Conventions

We use a variant of centralized workflow described in the Git Book. We have no 1.0 release for Rasterio yet and we are tagging and releasing from the master branch. Our post-1.0 workflow is to be decided.

Work on features in a new branch of the mapbox/rasterio repo or in a branch on a fork. Create a GitHub pull request when the changes are ready for review. We recommend creating a pull request as early as possible to give other developers a heads up and to provide an opportunity for valuable early feedback.

Code Conventions

The rasterio namespace contains both Python and C extension modules. All C extension modules are written using Cython. The Cython language is a superset of Python. Cython files end with .pyx and .pxd and are where we keep all the code that calls GDAL’s C functions.

Rasterio supports Python 2 and Python 3 in the same code base, which is aided by an internal compatibility module named compat.py. It functions similarly to the more widely known six but we only use a small portion of the features so it eliminates a dependency.

We strongly prefer code adhering to PEP8.

Tests are mandatory for new features. We use pytest.

We aspire to 100% coverage for Python modules but coverage of the Cython code is a future aspiration (#515).

Development Environment

Developing Rasterio requires Python 2.7 or any final release after and including 3.4. We prefer developing with the most recent version of Python but recognize this is not possible for all contributors. A C compiler is also required to leverage existing protocols for extending Python with C or C++. See the Windows install instructions in the readme for more information about building on Windows.

Initial Setup

First, clone Rasterio’s git repo:

$ git clone https://github.com/mapbox/rasterio

Development should occur within a virtual environment to better isolate development work from custom environments.

In some cases installing a library with an accompanying executable inside a virtual environment causes the shell to initially look outside the environment for the executable. If this occurs try deactivating and reactivating the environment.

Installing GDAL

The GDAL library and its headers are required to build Rasterio. We do not have currently have guidance for any platforms other than Linux and OS X.

On Linux, GDAL and its headers should be available through your distro’s package manager. For Ubuntu the commands are:

$ sudo add-apt-repository ppa:ubuntugis/ppa
$ sudo apt-get update
$ sudo apt-get install gdal-bin libgdal-dev

On OS X, Homebrew is a reliable way to get GDAL.

$ brew install gdal

Python build requirements

Provision a virtualenv with Rasterio’s build requirements. Rasterio’s setup.py script will not run unless Cython and Numpy are installed, so do this first from the Rasterio repo directory.

Linux users may need to install some additional Numpy dependencies:

$ sudo apt-get install libatlas-dev libatlas-base-dev gfortran

then:

$ pip install -U pip
$ pip install -r requirements-dev.txt

Installing Rasterio

Rasterio, its Cython extensions, normal dependencies, and dev dependencies can be installed with $ pip. Installing Rasterio in editable mode while developing is very convenient but only affects the Python files. Specifying the [test] extra in the command below tells $ pip to also install Rasterio’s dev dependencies.

$ pip install -e .[test]

Any time a Cython (.pyx or .pxd) file is edited the extension modules need to be recompiled, which is most easily achieved with:

$ pip install -e .

When switching between Python versions the extension modules must be recompiled, which can be forced with $ touch rasterio/*.pyx and then re-installing with the command above. If this is not done an error claiming that an object has the wrong size, try recompiling is raised.

The dependencies required to build the docs can be installed with:

$ pip install -e .[docs]

Running the tests

Rasterio’s tests live in tests <tests/> and generally match the main package layout.

To run the entire suite and the code coverage report:

$ py.test --cov rasterio --cov-report term-missing

A single test file:

$ py.test tests/test_band.py

A single test:

$ py.test tests/test_band.py::test_band

Changelog

Version 0.1

• Feature A added
• FIX: nasty bug #1729 fixed
• add your changes here!

HuaweiCrawler

HuaweiCrawler package

Subpackages

HuaweiCrawler.core package

Submodules

HuaweiCrawler.core.core module

core

example:

In the Docker Image quanpan302/huawei-crawler:

scrapy startproject tutorial

scrapy runspider /notebooks/src/HuaweiCrawler/core/core.py -o mobile.csv -t csv

class HuaweiCrawler.core.core.TmobileSpider(name=None, **kwargs)

Bases: scrapy.spiders.Spider

fieldnames = ['url', 'name']

file_name = <_io.TextIOWrapper name='tmobile_spider.csv' mode='w' encoding='UTF-8'>

name = 'tmobile_spider'

parse(response)

parse_detail(response)

start_urls = ['https://www.t-mobile.nl/shop/alle-telefoons?ch=es&cc=con&sc=acq']

writer = <csv.DictWriter object>

Module contents

core

Submodules

HuaweiCrawler.skeleton module

This is a skeleton file that can serve as a starting point for a Python console script. To run this script uncomment the following lines in the [options.entry_points] section in setup.cfg:

console_scripts =

fibonacci = HuaweiCrawler.skeleton:run

Then run python setup.py install which will install the command fibonacci inside your current environment. Besides console scripts, the header (i.e. until _logger…) of this file can also be used as HuaweiCrawler for Python modules.

Note: This skeleton file can be safely removed if not needed!

HuaweiCrawler.skeleton.fib(n)

Fibonacci example function

Parameters:n (int) – integer Returns:n-th Fibonacci number Return type:int

HuaweiCrawler.skeleton.main(args)

Main entry point allowing external calls

Parameters:args ([str]) – command line parameter list

HuaweiCrawler.skeleton.parse_args(args)

Parse command line parameters

Parameters:args ([str]) – command line parameters as list of strings Returns:command line parameters namespace Return type:argparse.Namespace

HuaweiCrawler.skeleton.run()

Entry point for console_scripts

HuaweiCrawler.skeleton.setup_logging(loglevel)

Setup basic logging

Parameters:loglevel (int) – minimum loglevel for emitting messages

Module contents

HuaweiCrawler

Indices and tables

• Index
• Module Index
• Search Page